# bib

id: keds-1386
author: Kurniawan, Fachrul; Umayah, Binti; Hammad, Jihad; Nugroho, Supeno Mardi Susiki; Hariadi, Mochammad
title: Market Basket Analysis to Identify Customer Behaviours by Way of Transaction Data
date: 2017-12-31
pages: 6
extension: .pdf
mime: application/pdf
words: 2252
sentence: 124
flesch: 51
cache: cache/keds-1386.pdf
txt: txt/keds-1386.txt
summary:
  From that statement, there has a strong relation to the study of customer transaction data database to determine the habit of a purchased product with what product, thus, association rule is frequently referred as market basket analysis In these recent years, transaction data have been commonly used as research and analysis objects for researchers.


id: keds-1289
author: Wijaya, Novan
title: Capital Letter Pattern Recognition in Text to Speech by Way of Perceptron Algorithm
date: 2017-12-31
pages: 7
extension: .pdf
mime: application/pdf
words: 2747
sentence: 163
flesch: 53
cache: cache/keds-1289.pdf
txt: txt/keds-1289.txt
summary:
  Sample data of this study is a collection of caputured capital letter image by webcam which then be processed using PC and programs as well as image segmentation techniques. Upon image cropping process, image size would be rendered into 20 x 20 pixel size (Fig.8).


id: keds-1720
author: Sari, Nadia Roosmalita; Sarwani, Moh. Zoqi; Aulia, Yudha Alif; Mahmudy, Wayan Firdaus
title: Signature Pattern Recognition using Kohonen Network
date: 2018-08-23
pages: 7
extension: .pdf
mime: application/pdf
words: 2841
sentence: 201
flesch: 63
cache: cache/keds-1720.pdf
txt: txt/keds-1720.txt
summary:
  For example, signature data will undergo the feature values extracting process with 15x15 grids 225 segments. Fig. 6 illustrates the architecture of SOM Kohonen and Fig. 7 shows the diagram of signature recognition process.


id: keds-19598
author: Albar, Albar; Hendrick, Hendrick; Hidayat, Rahmad
title: Segmentation Method for Face Modelling in Thermal Images
date: 2020-12-31
pages: 7
extension: .pdf
mime: application/pdf
words: 2743
sentence: 259
flesch: 65
cache: cache/keds-19598.pdf
txt: txt/keds-19598.txt
summary:
  Face images were recorded by using a FLIR Lepton thermal camera, which has specification as a military standard device [12]. In this research, we proposed a segmentation method, Mask RCNN, to create a face model from thermal images.


id: keds-19547
author: Astawa, I Nyoman Gede Arya; Radhitya, Made Leo; Ardana, I Wayan Raka; Dwiyanto, Felix Andika
title: Face Images Classification using VGG-CNN
date: 2021-06-30
pages: 6
extension: .pdf
mime: application/pdf
words: 2806
sentence: 209
flesch: 46
cache: cache/keds-19547.pdf
txt: txt/keds-19547.txt
summary:
  Hopefully, this research significantly contributes to knowledge development, especially in face image classification. Specifically, image classification is part of facial recognition processes, which is an actual problem in computer vision [3].


id: keds-1236
author: Purnawansyah, Purnawansyah; Haviluddin, Haviluddin; Alfred, Rayner; Gaffar, Achmad Fanany Onnilita
title: Network Traffic Time Series Performance Analysis Using Statistical Methods
date: 2017-12-31
pages: 7
extension: .pdf
mime: application/pdf
words: 3041
sentence: 184
flesch: 54
cache: cache/keds-1236.pdf
txt: txt/keds-1236.txt
summary:
  This present study aims at juxtaposing forecasting result using time series data in accordance with three statistical methods i.e. Decomposition, Winter’s exponential smoothing and ARIMA. The basic principle of time series decomposition method is to disintegrate time series data in several patterns and identified those time series segregated, then discovered it separately.


id: keds-12480
author: Nugroho, I Made Riyan Adi; Sentana, I Wayan Budi
title: Query Rewriting with Thesaurus-Based for Handling Semantic Heterogeneity in Database Integration
date: 2020-06-30
pages: 8
extension: .pdf
mime: application/pdf
words: 2866
sentence: 250
flesch: 61
cache: cache/keds-12480.pdf
txt: txt/keds-12480.txt
summary:
  Get source schema is a process of getting data source which produced by extraction schema stage. [3] A. Aslam, S. Khan, and K. Latif, “Semantic based query rewriting in heterogeneous sources,” Proc. - 4th IEEE Int. Conf.


id: keds-1376
author: Ardiansah, Jevri Tri; Wibawa, Aji Prasetya; Widyaningtyas, Triyanna; Yasuhisa, Okazaki
title: SQL Logic Error Detection by Using Start End Mid Algorithm
date: 2017-12-31
pages: 6
extension: .pdf
mime: application/pdf
words: 3690
sentence: 256
flesch: 65
cache: cache/keds-1376.pdf
txt: txt/keds-1376.txt
summary:
  Results and Discussion This system is able to do prediction about user's mistake regarding SQL logic error. That conclusion is supported by another research about SQL errors.


id: keds-20891
author: Wibawa, Aji Prasetya; Fithri, Hidayah Kariima; Zaeni, Ilham Ari Elbaith; Nafalski, Andrew
title: Generating Javanese Stopwords List using K-means Clustering Algorithm
date: 2020-12-31
pages: 6
extension: .pdf
mime: application/pdf
words: 3348
sentence: 368
flesch: 66
cache: cache/keds-20891.pdf
txt: txt/keds-20891.txt
summary:
  In this case, 680 words is labeled as stop words, where 13704 words are non-stopwords. The words are excluded from the bag of words to speed up the text classification process


id: keds-14402
author: Athiyah, Ummi; Muhammad, Arif Wirawan; Azhari, Ahmad
date: 2020-06-30
pages: 9
extension: .pdf
mime: application/pdf
words: 3786
sentence: 274
flesch: 51
cache: cache/keds-14402.pdf
txt: txt/keds-14402.txt
title:
  Human Intestinal Condition Identification based-on Blended Spatial and Morphological Feature using Artificial Neural Network Classifier

summary:
  Artificial neural network training result for blended feature U. Athiyah et al. / The dataset is divided into three parts to avoid bias on the results of artificial neural network training.


id: keds-24971
author: Setyati, Endang; Az, Suharyono; Hudiono, Subroto Prasetya; Kurniawan, Fachrul
title: CNN based Face Recognition System for Patients with Down and William Syndrome
date: 2022-03-23
pages: 7
extension: .pdf
mime: application/pdf
words: 3919
sentence: 331
flesch: 56
cache: cache/keds-24971.pdf
txt: txt/keds-24971.txt
summary:
  Down syndrome and Williams syndrome can be diagnosed by detecting the face, or facial characteristics, such as picking up particular facial traits [9] D. Dimitriou, H. C. Leonard, A. Karmiloff-Smith, M. H. Johnson, and M. S. C. Thomas, “Atypical development of configural face recognition in children with autism, Down syndrome and Williams syndrome,” J. Intellect.


id: keds-20008
author: Purnawansyah, Purnawansyah; Haviluddin, Haviluddin; Darwis, Herdianti; Azis, Huzain; Salim, Yulita
date: 2021-06-30
pages: 15
extension: .pdf
mime: application/pdf
words: 4220
sentence: 299
flesch: 58
cache: cache/keds-20008.pdf
txt: txt/keds-20008.txt
title:
  Backpropagation Neural Network with Combination of Activation Functions for Inbound Traffic Prediction

summary:
  Based on the result, in terms of a single form of activation function, although sigmoid provides the least RMSE and MSE values, the ReLu function is more superior in learning the high traffic pattern with a learning rate of 0.9. Keywords: Backpropagation Combination of activation function Forecasting Inbound Traffic ReLu-Sigmoid ReLu-tanh http://u.lipi.go.id/1502081730 http://u.lipi.go.id/1502081046 https://doi.org/10.17977/um018v4i12021p14-28 http://journal2.um.ac.id/index.php/keds mailto:keds.journal@um.ac.id https://creativecommons.org/licenses/by-sa/4.0/ https://sinta.ristekbrin.go.id/journals/detail?id=6662 https://creativecommons.org/licenses/by-sa/4.0/ Purnawansyah et al. /


id: keds-24529
author: Saleh, Abdulrazak Yahya; Xian, Lau Khai
title: Stress Classification using Deep Learning with 1D Convolutional Neural Networks
date: 2021-12-15
pages: 8
extension: .pdf
mime: application/pdf
words: 4300
sentence: 252
flesch: 48
cache: cache/keds-24529.pdf
txt: txt/keds-24529.txt
summary:
  The implementation is multivariate analysis to evaluate 1D CNNs deep learning model. This study aims to use stress datasets to anticipate an accurate output; society will use the outcomes.


id: keds-21527
author: Ahammed, Toukir; Ahmed, Sumon; Khan, Mohammed Shafiul Alam
title: Do Missing Link Community Smell Affect Developers Productivity: An Empirical Study
date: 2021-06-30
pages: 9
extension: .pdf
mime: application/pdf
words: 4518
sentence: 295
flesch: 54
cache: cache/keds-21527.pdf
txt: txt/keds-21527.txt
summary:
  Missing link community smell can create the knowledge gap among developers in the development community due to a lack of communication [5]. Missing link community smell refers to when two developers collaborate in a part of source code but do not communicate with each other [3].


id: keds-15708
author: Mahmudy, Wayan Firdaus; Pardede, Andreas; Widodo, Agus Wahyu; Rahman, Muh Arif
title: Efficient Scheduling of Plantation Company Workers using Genetic Algorithm
date: 2020-12-31
pages: 7
extension: .pdf
mime: application/pdf
words: 4377
sentence: 389
flesch: 64
cache: cache/keds-15708.pdf
txt: txt/keds-15708.txt
summary:
  The assessment is used to measure how good the chromosome is for worker scheduling. Knowledge Engineering and Data Science 2020, 3 (2): 60–66 65 IV. Conclusion Genetic algorithms for optimizing worker scheduling can be implemented with integer chromosome representation.


id: keds-1375
author: Hozairi, Hozairi; Krisnafi, Yaser
title: Decision Support System Determination of Main Work Unit In WPP-711 Using Fuzzy TOPSIS
date: 2017-12-31
pages: 12
extension: .pdf
mime: application/pdf
words: 4699
sentence: 272
flesch: 66
cache: cache/keds-1375.pdf
txt: txt/keds-1375.txt
summary:
  Square value on each alternative Value Benefit Cost Square - 1 0.002 0.138 Square - 2 0.065 0.030 Square - 3 0.135 0.005 Square - 4 0.100 0.033 Square - 5 0.091 0.034 Square - 6 0.105 0.027 Square - 7 0.016 0.075 Square - 8 0.074 0.024 Square - 9 0.010 0.110 Square - 10 0.085 0.028 Square - 11 0.070 0.038 14 Hozairi and Y. Krisnafi. The final phase in the calculation of TOPSIS is determining preference value for each alternative given according to the following equation.


id: keds-14602
author: Prahara, Adhi; Ismi, Dewi Pramudi; Azhari, Ahmad
title: Parallelization of Partitioning Around Medoids (PAM) in K-Medoids Clustering on GPU
date: 2020-06-30
pages: 10
extension: .pdf
mime: application/pdf
words: 4987
sentence: 267
flesch: 63
cache: cache/keds-14602.pdf
txt: txt/keds-14602.txt
summary:
  c) Compute the total cost of swapping that is the difference between the AEC calculated using the current medoid data point and the AEC calculated using the non-medoid data point selected in step b. One of the technologies that used to develop parallel k-medoids clustering is Hadoop-MapReduce [18][19][20][21][22][23].


id: keds-22181
author: Suhana, Rizka; Mahmudy, Wayan Firdaus; Budi, Agung Setia
title: Fish Image Classification Using Adaptive Learning Rate In Transfer Learning Method
date: 2022-06-07
pages: 11
extension: .pdf
mime: application/pdf
words: 5088
sentence: 331
flesch: 57
cache: cache/keds-22181.pdf
txt: txt/keds-22181.txt
summary:
  Conservation data in video, then processed to produce fish image data. The fish image will be analyzed by experts, including what type of fish image is.


id: keds-18620
author: Fajri, Diny Melsye Nurul; Mahmudy, Wayan Firdaus; Yulianti, Titiek
title: Detection of Disease and Pest of Kenaf Plant Based on Image Recognition with VGGNet19
date: 2021-06-30
pages: 14
extension: .pdf
mime: application/pdf
words: 5365
sentence: 333
flesch: 56
cache: cache/keds-18620.pdf
txt: txt/keds-18620.txt
summary:
  Conclusion In conclusion, the design of Kenaf plant disease & pest detection can be done by developing Image Recognition technology by coding using the Python programming language with open source Keras which is run on the TensorFlow machine learning platform. Leaf recognition training accuracy with the epoch approach is up to 100 Epoch Train Accuracy Train Loss Time 1 0.7672 0.525 52s 2 0.8307 0.3751 57s 3 0.8594 0.3038 59s 4 0.8942 0.1964 59s 5 0.9032 0.1389 59s … 96 1.0000 0.00008467 64s 97 1.0000 0.000091677 63s 98 1.0000 0.000078224 63s 99 1.0000 0.000098397 64s 100 1.0000 0.000060537 63s Table 2.


id: keds-11100
author: Rosyid, Harits Ar; Aniendya, Mutyara Whening; Herwanto, Heru Wahyu
title: Comparison of Indonesian Imports Forecasting by Limited Period Using SARIMA Method
date: 2019-12-23
pages: 11
extension: .pdf
mime: application/pdf
words: 5444
sentence: 331
flesch: 63
cache: cache/keds-11100.pdf
txt: txt/keds-11100.txt
summary:
  The output of the function is forecasting value, lower limit and upper limit of forecasting. Import dataset of ARIMA model candidates’ Ljung-box value ARIMA Model Ljung-Box (1,1,0)(1,1,0)12 0.3167 (2,1,0)(1,1,0)12 0.7164 (3,1,0)(1,1,0)12 0.5898 (1,1,0)(0,1,1)12 0.1658 (2,1,0)(0,1,1)12 0.6858 (3,1,0)(0,1,1)12 0.6807 (0,1,1)(1,1,0)12 0.09715 (0,1,2)(1,1,0)12 0.4701 (0,1,3)(1,1,0)12 0.9819 (0,1,1)(0,1,1)12 0.07206 (0,1,2)(0,1,1)12 0.5218 (0,1,3)(0,1,1)12 0.9662 Fig. 4.


id: keds-15449
author: Sendari, Siti; Zaeni, Ilham Ari Elbaith; Lestari, Dian Candra; Hariyadi, Hanny Prasetya
title: Opinion Analysis for Emotional Classification on Emoji Tweets using the Naïve Bayes Algorithm
date: 2020-06-30
pages: 10
extension: .pdf
mime: application/pdf
words: 5210
sentence: 362
flesch: 60
cache: cache/keds-15449.pdf
txt: txt/keds-15449.txt
summary:
  The algorithm performance calculation was a test for Emoji tweet data. This is made clear by the results of prediction errors on Emoji text data totaling 28 data.


id: keds-15279
date: 2020-06-30
pages: 10
extension: .pdf
mime: application/pdf
words: 5548
sentence: 290
flesch: 47
cache: cache/keds-15279.pdf
txt: txt/keds-15279.txt
author:
  Dhunny, A. Zaynah; Seebocus, Reena Hansa; Allam, Zaheer; Chuttur, Mohammad Yasser; Eltahan, Muhammed; Mehta, Harsh

title:
  Flood Prediction using Artificial Neural Networks: Empirical Evidence from Mauritius as a Case Study

summary:
  Recorded rainfall data skyrocketed for the central regions (Providence, Quatre Bornes and Vacoas), while other regions recorded higher rainfall data than for the same period in 2017. Here also, results indicated that the ANN model provided fairly good accuracy in predicting rainfall data.


id: keds-24585
author: Handayani, Anik Nur; Herwanto, Heru Wahyu; Chandrika, Katya Lindi; Arai, Kohei
title: Recognition of Handwritten Javanese Script using Backpropagation with Zoning Feature Extraction
date: 2021-12-15
pages: 11
extension: .pdf
mime: application/pdf
words: 5699
sentence: 410
flesch: 56
cache: cache/keds-24585.pdf
txt: txt/keds-24585.txt
summary:
  𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦 = 𝛴 𝑁 𝑐𝑜𝑟𝑟𝑒𝑐𝑡 Σ N (6) where Σ 𝑁 correct is the number of image data that are classified correctly, and Σ 𝑁 is the number of available image data. Backpropagation Neural Network Architecture Java Script Recognition Fig.


id: keds-15795
author: Sleeman, Jumah Y.J; Hammad, Jehad Abdulhamid
title: A Review of Accessing Big Data with Significant Ontologies
date: 2020-12-31
pages: 10
extension: .pdf
mime: application/pdf
words: 5776
sentence: 389
flesch: 62
cache: cache/keds-15795.pdf
txt: txt/keds-15795.txt
summary:
  The main aim of ontology rewriting query is to solve the problem of query answering that comes from the end-user. 2) Mapping layer that is able to solve the problems arising from the difference between the basic elements managed by data sources and the elements managed by the ontology.


id: keds-14682
author: Priambodo, Bagus; Mahmudy, Wayan Firdaus; Rahman, Muh Arif
title: Earthquake Magnitude and Grid-Based Location Prediction using Backpropagation Neural Network
date: 2020-06-30
pages: 12
extension: .pdf
mime: application/pdf
words: 6501
sentence: 400
flesch: 61
cache: cache/keds-14682.pdf
txt: txt/keds-14682.txt
summary:
  [24] I. Wahyuni, N. R. Adam, W. F. Mahmudy, and A. Iriany, ―Modeling backpropagation neural network for rainfall prediction in tengger east Java,‖ in Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017, 2018, vol. [8] F. A. Huda, W. F. Mahmudy, and H. Tolle, “Android malware detection using backpropagation neural network,” Indones.


id: keds-15835
author: Faiz, Faadihilah Ahnaf; Azhari, Ahmad
date: 2020-12-31
pages: 12
extension: .pdf
mime: application/pdf
words: 6232
sentence: 585
flesch: 57
cache: cache/keds-15835.pdf
txt: txt/keds-15835.txt
title:
  Tanned and Synthetic Leather Classification Based on Images Texture with Convolutional Neural Network

summary:
  The images acquisition processes in this research used a smartphone camera to capture the leather images with distances between the object and the camera lens about 10-20 centimeters and added external flash lamp for help increase the sharpness of leather images. Leather images dataset 80 F.A. Faiz and A. Azhari / Knowledge Engineering and Data Science 2020, 3 (2): 77–88 C. Image Segmentation Image Segmentation in this research used to changes the RGB images into grayscale images.


id: keds-16136
author: Gama, Adie Wahyudi Oktavia; Widnyani, Ni Made
date: 2020-12-31
pages: 10
extension: .pdf
mime: application/pdf
words: 6459
sentence: 451
flesch: 58
cache: cache/keds-16136.pdf
txt: txt/keds-16136.txt
title:
  Simple Modification for an Apriori Algorithm With Combination Reduction and Iteration Limitation Technique

summary:
  Apriori algorithm is one of the methods with regard to association rules in data mining. Apriori algorithm takes an iterative approach, that is, generating k-itemset that is used to form the next (k + 1) -itemset.


id: keds-24968
title: Non-Gaussian Analysis of Herbarium Specimen Damage to Optimize Specimen Collection Management
date: 2022-11-07
pages: 16
extension: .pdf
mime: application/pdf
words: 7084
sentence: 502
flesch: 51
cache: cache/keds-24968.pdf
txt: txt/keds-24968.txt
author:
  Yaman, Aris; Kartika, Yulia Aris; Indrawati, Ariani; Akbar, Zaenal; Malik, Lindung Parningotan; Wardani, Wita; Djarwaningsih, Tutie; Mahendra, Taufik; Saleh, Dadan Ridwan

summary:
  However, manual investigation of the causes of herbarium collection damage requires a lot of effort and time. Only a few studies have attempted to investigate the causes of herbarium collection damage.


id: keds-18291
author: Pujianto, Utomo; Akbar, Muhammad Iqbal; Lassela, Niendhitta Tamia; Sutaji, Deni
title: The Effect of Resampling on Classifier Performance: an Empirical Study
date: 2022-06-07
pages: 14
extension: .pdf
mime: application/pdf
words: 7269
sentence: 398
flesch: 59
cache: cache/keds-18291.pdf
txt: txt/keds-18291.txt
summary:
  Each dataset will go through 3 processing stages: the resampling process, the classification process, and the significance testing process between performance evaluation values of the combination of classifier and the resampling using paired t-test. Result of paired t-test between a combination of classifier and resampling based on accuracy values Paired t-test results based on accuracy values as shown in Figure 5, the combination of NN Algorithms without resampling gives the most significant results than the other 11 combinations.


id: keds-21183
author: Masouleh, Marzieh Faridi; Bagheri, Ahmad
title: Forecasting Stock Exchange Data using Group Method of Data Handling Neural Network Approach
date: 2021-06-30
pages: 13
extension: .pdf
mime: application/pdf
words: 6879
sentence: 480
flesch: 60
cache: cache/keds-21183.pdf
txt: txt/keds-21183.txt
summary:
  Thus, this research makes use of the GMDH neural network algorithm to forecast stock exchange data. [25] A. Carriero, G. Kapetanios, and M. Marcellino, “Forecasting exchange rates with a large Bayesian VAR,” Int.


id: keds-19166
author: Santoso, Joan; Setiawan, Esther Irawati; Purwanto, Christian Nathaniel; Kurniawan, Fachrul
title: Indonesian Sentence Boundary Detection using Deep Learning Approaches
date: 2021-06-30
pages: 11
extension: .pdf
mime: application/pdf
words: 7861
sentence: 656
flesch: 57
cache: cache/keds-19166.pdf
txt: txt/keds-19166.txt
summary:
  Sentence boundary detection is used to split every sentence in a document. Several studies use sentence boundary detection for text pre-processing.


id: keds-24499
author: Md Jamil, Abu Rafe; Nower, Naushin
title: A Comprehensive Analysis of Reward Function for Adaptive Traffic Signal Control
date: 2021-12-15
pages: 12
extension: .pdf
mime: application/pdf
words: 8048
sentence: 438
flesch: 59
cache: cache/keds-24499.pdf
txt: txt/keds-24499.txt
summary:
  In this type of reward function, various traffic features are combined in different ways to optimize parameters. Different types of reward functions have been proposed in the literature, and none of them compares among these reward functions.


id: keds-25035
author: Ismail, Amelia Ritahani; Affendy, Nur Shairah Muhd; Ismail, Ahsiah; Puzi, Asmarani Ahmad
title: Social Distancing Monitoring System using Deep Learning
date: 2022-11-07
pages: 10
extension: .pdf
mime: application/pdf
words: 4828
sentence: 279
flesch: 53
cache: cache/keds-25035.pdf
txt: txt/keds-25035.txt
summary:
  Social distancing detection for the test video Fig. 9. Social distancing detection for the test video A.R. Ismail et al. / Knowledge Engineering and Data Science 2022, 5 (1): 17–26 25 was taken from the video for 21 seconds and 531 frames.


id: keds-25719
author: Kusuma, Edi Jaya; Pantiawati, Ika; Handayani, Sri
title: Melanoma Classification based on Simulated Annealing Optimization in Neural Network
date: 2022-03-15
pages: 8
extension: .pdf
mime: application/pdf
words: 3929
sentence: 287
flesch: 54
cache: cache/keds-25719.pdf
txt: txt/keds-25719.txt
summary:
  [17] D. Chai and A. Bouzerdoum, “A Bayesian approach to skin color classification in YCbCr color space,” in 2000 TENCON Proceedings. One cancer disease that commonly arises in the country with a high UV (Ultraviolet) light index is skin cancer


id: keds-28311
author: Sultan, Naveed
title: Sentiment Analysis of Amazon Product Reviews using Supervised Machine Learning Techniques
date: 2022-06-07
pages: 8
extension: .pdf
mime: application/pdf
words: 3668
sentence: 270
flesch: 57
cache: cache/keds-28311.pdf
txt: txt/keds-28311.txt
summary:
  Positive reviews predictions must lie between the range of 0.5 and less than 1 and false reviews ranges from 0 to 0.5 but from the figure below, some false prediction of positive reviews represented pessimistically, and some pessimistic predictions represented positive ones. Figure 1 is for positive reviews, and it is for negative reviews.


id: keds-25384
date: 2022-02-04
pages: 12
extension: .pdf
mime: application/pdf
words: 4953
sentence: 319
flesch: 49
cache: cache/keds-25384.pdf
txt: txt/keds-25384.txt
author:
  Wibowo, Merlinda; Quix, Christoph; Hussien, Nur Syahela; Yuliansyah, Herman; Adhinata, Faisal Dharma

title:
  Similarity Identification of Large-scale Biomedical Documents using Cosine Similarity and Parallel Computing

summary:
  In this stage, the identification results of document similarities will be represented in a graph, statistical table, and web application. Execution time of document similarity application http://journal2.um.ac.id/index.php/keds 116 M. Wibowo et al. /


id: keds-28229
title: Human Facial Expressions Identification using Convolutional Neural Network with VGG16 Architecture
date: 2022-06-07
pages: 9
extension: .pdf
mime: application/pdf
words: 4208
sentence: 245
flesch: 57
cache: cache/keds-28229.pdf
txt: txt/keds-28229.txt
author:
  Latumakulita, Luther Alexander; Lumintang, Sandy Laurentius; Salakia, Deiby Tineke; Sentinuwo, Steven R.; Sambul, Alwin Melkie; Islam, Noorul

summary:
  Human facial expression image data has been selected from open-source datasets (FER2013, JAFFE, and MUG). In addition, facial expression identification systems can be developed and applied in various fields, such as psychological patient emotion detection, lie detection, security system with face recognition, entertainment recommendations according to emotions (movies, music, tourist attractions, shopping products), robot development, monitoring system of an employee's facial expressions when interacting with Customers and so on.


id: keds-37161
date: 2022-12-30
pages: 6
extension: .pdf
mime: application/pdf
words: 3419
sentence: 261
flesch: 55
cache: cache/keds-37161.pdf
txt: txt/keds-37161.txt
author:
  Putri, Nastiti Susetyo Fanany; Wibawa, Aji Prasetya; Rosyid, Harits Ar; Utama, Agung Bella Putra; Uriu, Wako

title:
  Performance of Ensemble Classification for Agricultural and Biological Science Journals with Scopus Index

summary:
  Therefore, it is necessary to have data processing methods, such as classification. Where Bagging and Boosting comprise the ensemble, this research aims to evaluate the ensemble classification mechanism's performance using quartile data from agricultural and biological science periodicals.


id: keds-37102
date: 2022-12-30
pages: 7
extension: .pdf
mime: application/pdf
words: 3698
sentence: 218
flesch: 52
cache: cache/keds-37102.pdf
txt: txt/keds-37102.txt
author:
  Manuaba, Ida Bagus Putra; Sentana, I Wayan Budi; Astawa, I Nyoman Gede Arya; Suasnawa, I Wayan; Pradnyana, I Putu Bagus Arya

title:
  Social Media Mining with Fuzzy Text Matching: A Knowledge Extraction on Tourism After COVID-19 Pandemic

summary:
  However, traditional text matching techniques, such as exact matching, are not always suitable for social media data, which can contain spelling mistakes, abbreviations, and variations in the use of words. The contribution of this research is to provide a better understanding of how COVID-19 recovery impacts the tourism industry and to demonstrate the potential of text mining and fuzzy matching techniques in extracting insights from social media data.


id: keds-36996
title: Adaptive Neuro-Fuzzy Inference System for Waste Prediction
date: 2022-12-30
pages: 7
extension: .pdf
mime: application/pdf
words: 4074
sentence: 202
flesch: 53
cache: cache/keds-36996.pdf
txt: txt/keds-36996.txt
author:
  Haviluddin, Haviluddin; Pakpahan, Herman Santoso; Puspitasari, Novianti; Putra, Gubtha Mahendra; Hasnida, Rima Yustika; Alfred, Rayner

summary:
  One method that has shown promise in waste prediction is the Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS has been successfully used in various applications, including waste prediction, because this method is adaptive, which means that if there is a change in parameter values, it will be connected to existing neurons in getting accurate prediction results


id: keds-25393
author: Trang, Kien; Nguyen, An Hoang
title: A Comparative Study of Machine Learning-based Approach for Network Traffic Classification
date: 2022-01-01
pages: 10
extension: .pdf
mime: application/pdf
words: 6651
sentence: 333
flesch: 48
cache: cache/keds-25393.pdf
txt: txt/keds-25393.txt
summary:
  [9] Z. Fan and R. Liu, Investigation of machine learning based network traffic classification, 2017 International Symposium on Wireless Communication Systems (ISWCS), pp. [9] Z. Fan and R. Liu, Investigation of machine learning based network traffic classification, 2017 International Symposium on Wireless Communication Systems (ISWCS), pp. 1-6, August 2017.


id: keds-3148
author: Septianto, Tri; Setyati, Endang; Santoso, Joan
title: Digit Classification of Majapahit Relic Inscription using GLCM-SVM
date: 2018-08-23
pages: 9
extension: .pdf
mime: application/pdf
words: 4161
sentence: 226
flesch: 59
cache: cache/keds-3148.pdf
txt: txt/keds-3148.txt
summary:
  [7] M. Mohamed Fathima, D. Manimegalai and S. Thaiyalnayaki, Automatic Detection of Tumor Subtype in Mammograms Based on GLCM and DWT Feature Using SVM, 2013 International Conference on Information Communication and Embedded Systems (ICICES), Chennai, 2013, pp. 809-813. Image classification is commonly used to create object recognition apps.


id: keds-37365
title: Indonesian Language Term Extraction using Multi-Task Neural Network
date: 2022-12-30
pages: 8
extension: .pdf
mime: application/pdf
words: 4456
sentence: 281
flesch: 53
cache: cache/keds-37365.pdf
txt: txt/keds-37365.txt
author:
  Santoso, Joan; Setiawan, Esther Irawati; Ferdinandus, Fransiskus Xaverius; Gunawan, Gunawan; Hernandez, Leonel

summary:
  In recent years, joint models have become the algorithm used in many works. With the increasing use of joint models as an algorithm in specific tasks, we also proposed combining two neural network models to extract noun phrases from documents.


id: keds-37407
author: Ar Rosyid, Harits; Putra, Aulia Yahya Harindra; Akbar, Muhammad Iqbal; Dwiyanto, Felix Andika
title: Can Multinomial Logistic Regression Predicts Research Group using Text Input?
date: 2022-12-30
pages: 10
extension: .pdf
mime: application/pdf
words: 4663
sentence: 319
flesch: 57
cache: cache/keds-37407.pdf
txt: txt/keds-37407.txt
summary:
  With performances just above 63% in overall metrics, we argue that this MLR model with title text input is optimal due to its small dimensionality. Based on the experiments, research group classification using title-only input is the best overall.


id: keds-37229
author: Asmara, Rosa Andrie; Noprianto, Noprianto; Ilmy, Muhammad Ainur; Arai, Kohei
title: Traffic Density Prediction using IoT-based Double Exponential Smoothing
date: 2022-12-30
pages: 11
extension: .pdf
mime: application/pdf
words: 4906
sentence: 285
flesch: 56
cache: cache/keds-37229.pdf
txt: txt/keds-37229.txt
summary:
  When smoothing time series data using an exponential function, the ARTICLE INFO A B S T R A C T Article history: Received 1 November 2022 Revised 7 December 2022 Accepted 11 December 2022 Published online 30 December 2022 It can be concluded that car vehicle detection is outnumbered by motorcycle detection.


id: keds-25980
author: Prahara, Adhi; Pranolo, Andri; Anwar, Nuril; Mao, Yingchi
title: Parallel Approach of Adaptive Image Thresholding Algorithm on GPU
date: 2022-03-05
pages: 16
extension: .pdf
mime: application/pdf
words: 7111
sentence: 361
flesch: 51
cache: cache/keds-25980.pdf
txt: txt/keds-25980.txt
summary:
  Researchers have been proposed parallel adaptive image thresholding methods for image segmentation. This paper is organized as follows: Section 2 presents the proposed approach of parallel adaptive image thresholding methods, Section 3 presents the result and discussion, and Section 4 presents the conclusion of this work. II.


id: keds-29576
author: Anshori, Mochammad; Haris, M. Syauqi
title: Predicting Heart Disease using Logistic Regression
date: 2022-12-30
pages: 9
extension: .pdf
mime: application/pdf
words: 5115
sentence: 357
flesch: 49
cache: cache/keds-29576.pdf
txt: txt/keds-29576.txt
summary:
  The findings of this study have significant implications for the field of heart disease prediction and can contribute to improved patient care and outcomes. These prior studies contribute to the understanding and development of machine learning approaches for heart disease prediction and classification.


id: keds-3976
author: Darusalam, Darusalam; Ashman, Helen
title: Profiling and Identifying Individual Users by Their Command Line Usage and Writing Style
date: 2018-08-23
pages: 9
extension: .pdf
mime: application/pdf
words: 4662
sentence: 217
flesch: 53
cache: cache/keds-3976.pdf
txt: txt/keds-3976.txt
summary:
  To evaluate this particular characteristic this research will use the n-gram analysis method, and will aim to identify users in two ways, positive user identification and negative user identification. This research will perform the same analysis on data of both types, using exactly the same analysis, and will determine firstly whether either form can be used successfully for user identification, and if so, the research will then determine which is the more effective of the two.


id: keds-38745
author: Wibawanto, Slamet; Kirana, Kartika Candra; Ramadhan, Hani
title: Ant Colony Optimization for Resistor Color Code Detection
date: 2023-06-06
pages: 9
extension: .pdf
mime: application/pdf
words: 4283
sentence: 275
flesch: 48
cache: cache/keds-38745.pdf
txt: txt/keds-38745.txt
summary:
  Many combinations of color bands raise the need for technology that can automatically measure resistor values visually. The test data is crucial for assessing the generalization capabilities of the proposed method and its ability to accurately estimate resistor values in real-world settings.


id: keds-27765
title: Automatic 3D Cranial Landmark Positioning based on Surface Curvature Feature using Machine Learning
date: 2022-11-07
pages: 14
extension: .pdf
mime: application/pdf
words: 7094
sentence: 474
flesch: 56
cache: cache/keds-27765.pdf
txt: txt/keds-27765.txt
author:
  Suputra, Putu Hendra; Sensusiati, Anggraini Dwi; Artaria, Myrtati Dyah; Verkerke, Gijsbertus Jacob; Yuniarno, Eko Mulyanto; Purnama, I Ketut Eddy

summary:
  Filter landmark prediction points by distance radius. The method uses VGG-net to draw the correlation of landmark positions based on a manually marked dataset.


id: keds-27938
author: Mar'i, Farhanna; Ubaidillah, Hafidz; Mahmudy, Wayan Firdaus; Supianto, Ahmad Afif
date: 2022-12-30
pages: 13
extension: .pdf
mime: application/pdf
words: 6125
sentence: 405
flesch: 56
cache: cache/keds-27938.pdf
txt: txt/keds-27938.txt
title:
  Hybrid Artificial Bee Colony and Improved Simulated Annealing for the Capacitated Vehicle Routing Problem

summary:
  [23] Y. Deng, H. Xu, and J. Wu, “Optimization of blockchain investment portfolio under artificial bee colony algorithm,” J. Comput. [2] B. Yao, Q. Yan, M. Zhang, and Y. Yang, “Improved artificial bee colony algorithm for vehicle routing problem with time windows,” PLoS ONE 12 e0181275, pp.


id: keds-37168
author: Hechmi, Shili
title: An Accurate Real-Time Method for Face Mask Detection using CNN and SVM
date: 2022-12-30
pages: 8
extension: .pdf
mime: application/pdf
words: 5077
sentence: 338
flesch: 56
cache: cache/keds-37168.pdf
txt: txt/keds-37168.txt
summary:
  In this research, we suggest a real-time approach for face mask detection. Using a surgical mask is among the most significant safety precautions that can help keep this sort of pandemic from spreading, and manual monitoring of large crowds in public places for face masks is problematic.


id: keds-40180
title: K-Means Clustering and Multilayer Perceptron for Categorizing Student Business Groups
date: 2023-09-18
pages: 10
extension: .pdf
mime: application/pdf
words: 4506
sentence: 326
flesch: 52
cache: cache/keds-40180.pdf
txt: txt/keds-40180.txt
author:
  Walid, Miftahul; Sahbaniya, Norfiah Lailatin Nispi; Hozairi, Hozairi; Baskoro, Fajar; Wijaya, Arya Yudhi

summary:
  The distribution of the data used in this research based on topic data can be seen in Figure 2. [34] M. H. Santoso, D. A. Larasati, U. Medan, and A. Sumatera, Wayang Image Classification Using MLP Method and GLCM Feature Extraction, J. Comput.


id: keds-29270
author: Chuttur, Mohammad Yasser; Parianen, Yashinee
date: 2022-11-07
pages: 12
extension: .pdf
mime: application/pdf
words: 6131
sentence: 316
flesch: 47
cache: cache/keds-29270.pdf
txt: txt/keds-29270.txt
title:
  A Comparison of Machine Learning Models to Prioritise Emails using Emotion Analysis for Customer Service Excellence

summary:
  Our work contrasts with previous studies in that most works on email classification have focused on spam detection. In this study, we investigate the possibility of using machine learning to analyse the emotions expressed in emails to set a priority ranking to different emails.


id: keds-38346
author: Prasetya, Didik Dwi; Hirashima, Tsukasa
title: Associated Patterns in Open-Ended Concept Maps within E-Learning
date: 2022-12-30
pages: 9
extension: .pdf
mime: application/pdf
words: 5330
sentence: 335
flesch: 47
cache: cache/keds-38346.pdf
txt: txt/keds-38346.txt
summary:
  Although several studies on mining concept maps have been carried out, only a few have analyzed the knowledge structure. It has been demonstrated that concept maps are beneficial for instruction, learning, and evaluation


id: keds-37459
author: Alzuhdi, Akmal Vrisna; Ar Rosyid, Harits; Chuttur, Mohammad Yasser; Nazir, Shah
title: Optimizing Random Forest Algorithm to Classify Player's Memorisation via In-game Data
date: 2023-10-02
pages: 11
extension: .pdf
mime: application/pdf
words: 5857
sentence: 384
flesch: 50
cache: cache/keds-37459.pdf
txt: txt/keds-37459.txt
summary:
  Serious game players are more empowered to become more actively involved, not only in the learning process but also in the design and development of cutting-edge formative assessment tools, as discussed by Hainey et al., and serious games are becoming more and more popular as alternative supplementary learning approaches across all disciplines at all levels [23]. A B S T R A C T Article history: Received 13 April 2023 Revised 30 August 2023 Accepted 25 September 2023 Published online 4 October 2023 Assessment of a player's knowledge in game education has been around for some time.


id: keds-29489
title: Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction
date: 2022-11-07
pages: 14
extension: .pdf
mime: application/pdf
words: 6899
sentence: 475
flesch: 55
cache: cache/keds-29489.pdf
txt: txt/keds-29489.txt
author:
  Pranolo, Andri; Mao, Yingchi; Wibawa, Aji Prasetya; Utama, Agung Bella Putra; Dwiyanto, Felix Andika

summary:
  Using these functions, deep learning models can learn nonlinear prediction boundaries. The research reveals that the PSO optimized deep learning models (LSTM, CNN, and MLP) for Beijing PM2.5 multivariate time series prediction acquire a minimum error and improve its A. Pranolo et al. /


id: keds-40357
author: Gunawan, Gunawan; Fitria, Fitria; Setiawan, Esther Irawati; Fujisawa, Kimiya
title: Maximum Marginal Relevance and Vector Space Model for Summarizing Students' Final Project Abstracts
date: 2023-08-01
pages: 12
extension: .pdf
mime: application/pdf
words: 6292
sentence: 321
flesch: 45
cache: cache/keds-40357.pdf
txt: txt/keds-40357.txt
summary:
  WHILE (row is not empty) 34: document ← GET field document 35: last ← GET field last 36: ENDWHILE 37: WRITE file summary SET field document= document, \ field last=last 38: delete file cosine where field document=document 39: drop file mmr 40: create table mmr has fields document, last 41: READ all fields from summary 42: The steps in this research will start with the user selecting or searching for text documents that will be summarized with keywords in the abstract as a query.


id: keds-40397
author: Gultom, Zuli Agustina; Siregar, Farid Akbar; Tanjung, Mahardika Abdi Prawira; Hazidar, Al-Hamidy
title: Multivariate Analysis Approach to Factor-Affected Tuberculosis Disease
date: 2023-10-03
pages: 15
extension: .pdf
mime: application/pdf
words: 6233
sentence: 357
flesch: 45
cache: cache/keds-40397.pdf
txt: txt/keds-40397.txt
summary:
  So that discriminant analysis can be used for predicting the accuracy of tuberculosis prevalence rates. The goal of this research is to find out what factors influence the prevalence rate of tuberculosis in the city of Surabaya and to group regions based on the characteristics of the incidence of tuberculosis, with the hope that this research can help the Surabaya city government in handling tuberculosis prevalence rates quickly and accurately The analysis technique used is multivariate analysis.


id: keds-4798
author: Ismail, Amelia Ritahani; Ali, Nur ‘Atikah Binti Mohd; Sulaiman, Junaida
title: Change Vulnerability Forecasting Using Deep Learning Algorithm for Southeast Asia
date: 2018-08-23
pages: 5
extension: .pdf
mime: application/pdf
words: 2377
sentence: 149
flesch: 51
cache: cache/keds-4798.pdf
txt: txt/keds-4798.txt
summary:
  This study uses machine learning approach to predict of climate change vulnerability in South East Asia. This operator transforms a given example set containing series data into a new example set which contains single valued examples4.


id: keds-44603
author: Karim, Atkia Akila; Nower, Naushin
title: Long-Term Traffic Prediction Based on Stacked GCN Model
date: 2023-09-24
pages: 11
extension: .pdf
mime: application/pdf
words: 5944
sentence: 379
flesch: 51
cache: cache/keds-44603.pdf
txt: txt/keds-44603.txt
summary:
  Numerous specialists and academics have dedicated their research to studying traffic flow prediction and have developed numerous prediction ARTICLE INFO Keywords: Traffic flow prediction Long-term prediction Graph Convolutional Network Segment http://u.lipi.go.id/1502081730 http://u.lipi.go.id/1502081046 http://journal2.um.ac.id/index.php/keds mailto:keds.journal@um.ac.id https://creativecommons.org/licenses/by-sa/4.0/ https://creativecommons.org/licenses/by-sa/4.0/ 93 Karim et al. /


id: keds-6775
author: Jais, Imran Khan Mohd; Ismail, Amelia Ritahani; Nisa, Syed Qamrun
title: Adam Optimization Algorithm for Wide and Deep Neural Network
date: 2019-06-23
pages: 6
extension: .pdf
mime: application/pdf
words: 2336
sentence: 140
flesch: 58
cache: cache/keds-6775.pdf
txt: txt/keds-6775.txt
summary:
  On the other hand, [1] investigate on how wide linear models can effectively memorize sparse feature interactions using cross-product feature transformations, while deep neural networks can simplify to formerly unseen feature interactions through low dimensional embeddings. D. Machine Learning The wide and deep neural network requires the user to define which features are base features, crossed features, and deep features.


id: keds-43667
author: Sudiatmika, I Kadek Wahyu; Indrawan, Gede; Sariyasa, Sariyasa
title: Round-Robin Algorithm in Load Balancing for National Data Centers
date: 2023-09-22
pages: 13
extension: .pdf
mime: application/pdf
words: 6531
sentence: 373
flesch: 42
cache: cache/keds-43667.pdf
txt: txt/keds-43667.txt
summary:
  [28] M. Elveny, A. Winata, B. Siregar, and R. Syah, “A Tutorial: Load Balancers in a Container technology System using Docker Swarms on a Single Board Computer Cluster,” Ilkogr. In the context of load testing, our objective is to accurately simulate the dynamic patterns of user interactions with the load balancer through a meticulously constructed average-load testing scenario.


id: keds-40159
author: Iddrisu, Issah; Appiahene, Peter; Appiah, Obed; Fuseini, Inusah
date: 2023-06-25
pages: 17
extension: .pdf
mime: application/pdf
words: 9250
sentence: 588
flesch: 46
cache: cache/keds-40159.pdf
txt: txt/keds-40159.txt
title:
  Exploring the Impact of Students Demographic Attributes on Performance Prediction through Binary Classification in the KDP Model

summary:
  Three different ML technique was used to forecast student performance [18]. The research findings suggest that using ML to anticipate student performance may be helpful.


id: keds-40889
author: Kurniawati, Arik; Yuniarno, Eko Mulyanto; Suprapto, Yoyon Kusnendar
title: Deep Learning for Multi-Structured Javanese Gamelan Note Generator
date: 2023-07-18
pages: 16
extension: .pdf
mime: application/pdf
words: 8227
sentence: 391
flesch: 48
cache: cache/keds-40889.pdf
txt: txt/keds-40889.txt
summary:
  The input data of this study consists of balungan notation, rhythm type, song structure type, and gatra information, while the output data consists of ricikan struktural music notation such as kenong, kethuk, kempyang, kempul, gong ageng, and gong suwuk. A. Kurniawati et al. / Knowledge Engineering and Data Science 2023, 6 (1): 41–56 48 To provide a comparative analysis, we compared the performance of the CNN-LSTM model with that of the CNN and LSTM models.


id: keds-45009
author: Hanif, Benzfica; Larasati, Aisyah; Nurdiansyah, Rudi; Le, Trung
date: 2023-10-04
pages: 11
extension: .pdf
mime: application/pdf
words: 5256
sentence: 313
flesch: 43
cache: cache/keds-45009.pdf
txt: txt/keds-45009.txt
title:
  The Effect of the Number of Hidden Layers on The Performance of Deep Q-Network for Traveling Salesman Problem

summary:
  Loss value using different level parameter Parameter Loss Episode Epoch 50 1 7.005321025848389 Figure 3 and Figure 4 provide aesthetically captivating representations of the research outcomes, revealing intricate patterns in the dynamics of loss values.


id: keds-6058
author: Anissa, Retno Dewi; Mahmudy, Wayan Firdaus; Widodo, Agus Wahyu
title: Optimisation of Rice Fertiliser Composition using Genetic Algorithms
date: 2019-12-23
pages: 10
extension: .pdf
mime: application/pdf
words: 4123
sentence: 253
flesch: 58
cache: cache/keds-6058.pdf
txt: txt/keds-6058.txt
summary:
  There are nine chromosomes formed, five initial chromosomes are used to calculate the amount of fertilizer, content, total price needed and fitness value. Fitness values can be expressed in (1).


id: keds-7335
author: Aini, Hijratul; Haviluddin, Haviluddin
title: Crude Palm Oil Prediction Based on Backpropagation Neural Network Approach
date: 2019-06-23
pages: 9
extension: .pdf
mime: application/pdf
words: 3479
sentence: 209
flesch: 66
cache: cache/keds-7335.pdf
txt: txt/keds-7335.txt
summary:
  ∆𝑣𝑖𝑗𝑗 = 𝛼𝛿𝑗𝑥𝑖 (10) where, ∆𝑣ij is neuron input weight to neuron hidden, 𝛼 is learning rate, 𝛿j is weight correction factor vij, 𝑥i is neuron input i C. Update weight and bias steps 𝑍_𝑖𝑛 = 𝑣 + ∑ 𝑥𝑖 𝑖 𝑛=1 𝑣𝑖𝑗 (1) where Z is neuron hidden, 𝑣 is input bias weight neuron to j, 𝑥 is neuron input i, 𝑣 is neuron input to neuron hidden weights.


id: keds-42537
author: Armanda, Tubagus Arief; Wardhani, Ire Puspa; Akhriza, Tubagus M.; Admira, Tubagus M. Adrie
title: Recurrent Session Approach to Generative Association Rule based Recommendation
date: 2023-11-02
pages: 16
extension: .pdf
mime: application/pdf
words: 8797
sentence: 446
flesch: 56
cache: cache/keds-42537.pdf
txt: txt/keds-42537.txt
summary:
  Consequently, AR-based RS provides a variety of item recommendations. K recommendation items obtained E. Benchmarking the Model The activity flow of benchmarking the model is given in Figure 8, which shows that the proposed model is compared with the query-based session method.


id: keds-4797
author: Hernandez, Leonel; Jimenez, Genett; Marchena, Piedad
title: Energy Efficiency Metrics of University Data Centers
date: 2018-08-23
pages: 10
extension: .pdf
mime: application/pdf
words: 5241
sentence: 220
flesch: 56
cache: cache/keds-4797.pdf
txt: txt/keds-4797.txt
summary:
  As Baccour says [1], data centers use the network between 5 % and 25 %, and therefore the energy consumed by inactive devices is wasted. Data centers, composed of many servers, can absorb as much power as a small city, in fact, numerous studies have shown that average server utilization is usually less than 30% of maximum utilization [2].


id: keds-9869
title: Handwriting Character Recognition using Vector Quantization Technique
date: 2019-12-23
pages: 8
extension: .pdf
mime: application/pdf
words: 4236
sentence: 303
flesch: 61
cache: cache/keds-9869.pdf
txt: txt/keds-9869.txt
author:
  Haviluddin, Haviluddin; Alfred, Rayner; Moham, Ni’mah; Pakpahan, Herman Santoso; Islamiyah, Islamiyah; Setyadi, Hario Jati

summary:
  Image processing processes signal which input is an image. Materials and Methods This part briefly discusses Buginese Lontara script pattern, LVQ method, and image processing employed in this research.


id: keds-6935
author: Azhari, Ahmad; Susanto, Adhi; Pranolo, Andri; Mao, Yingchi
title: Neural Network Classification of Brainwave Alpha Signals in Cognitive Activities
date: 2019-12-23
pages: 11
extension: .pdf
mime: application/pdf
words: 4711
sentence: 298
flesch: 59
cache: cache/keds-6935.pdf
txt: txt/keds-6935.txt
summary:
  The application of EEG signals in the biomedical field is the development of bio-signal processing. EEG signals are an essential source used to study, monitor, and evaluate the activity of the human brain.


id: keds-46553
author: Sumarti, Heni; Septiani, Fahira; Sudarmanto, Agus; Caesarendra, Wahyu; Edison, Rizki Edmi
date: 2023-10-18
pages: 13
extension: .pdf
mime: application/pdf
words: 6958
sentence: 462
flesch: 54
cache: cache/keds-46553.pdf
txt: txt/keds-46553.txt
title:
  EEG Classification while Listening to Murottal Al-Quran and Classical Music using Random Forest Method

summary:
  Brain signal data is extracted in EDF form, then processed using brain wave data for 1 minute, selected based on the best signal (with no/little noise and artifacts) separated using the EDF browser. Brain signal data is stored as an edf file, then separated using the edf browser to get brain signals for one minute.


id: keds-5832
author: Hozairi, Hozairi; Buhari, Buhari; Lumaksono, Heru; Tukan, Marcus
title: Selection of Marine Security Policy using Fuzzy-AHP TOPSIS Hybrid Approach
date: 2019-06-23
pages: 12
extension: .pdf
mime: application/pdf
words: 5145
sentence: 342
flesch: 67
cache: cache/keds-5832.pdf
txt: txt/keds-5832.txt
summary:
  The finding shows that the hybrid approach is able to produce the best recommendation for Indonesian maritime security policy. Hierarchy of selection of Indonesian maritime security policies Table 3.


id: keds-6530
author: Febrita, Ruth Ema; Mahmudy, Wayan Firdaus; Wibawa, Aji Prasetya
title: High Dimensional Data Clustering using Self-Organized Map
date: 2019-06-23
pages: 10
extension: .pdf
mime: application/pdf
words: 5681
sentence: 344
flesch: 65
cache: cache/keds-6530.pdf
txt: txt/keds-6530.txt
summary:
  This research implements the Self-Organized Map (SOM) algorithm to cluster house data for providing several house groups based on the various features. SOM cluster and label the transient data by checking the similarity of the pattern.


id: keds-5804
author: Darusalam, Darusalam; Said, Jamaliah; Omar, Normah; Janssen, Marijn; Sohag, Kazi
title: The Diffusion of ICT for Corruption Detection in Open Government Data
date: 2019-06-23
pages: 9
extension: .pdf
mime: application/pdf
words: 5874
sentence: 329
flesch: 44
cache: cache/keds-5804.pdf
txt: txt/keds-5804.txt
summary:
  The following section of this research provides background information regarding the developments including open government data (OGD), data-driven detection of corruption and overview of stakeholder. The determined critical concepts for the literature reviews include open government data, corruption, and accountability.


id: keds-46417
date: 2023-10-11
pages: 12
extension: .pdf
mime: application/pdf
words: 7777
sentence: 707
flesch: 56
cache: cache/keds-46417.pdf
txt: txt/keds-46417.txt
author:
  Ojugoa, Arnold Adimabua; Odiakaose, Christopher Chukwufunaya; Emordi, Frances; Ako, Rita Erhovwo; Adigwe, Winifred; Anazia, Kizito Eluemonor; Geteloma, Victor

title:
  Evidence of Students’ Academic Performance at the Federal College of Education Asaba Nigeria: Mining Education Data

summary:
  [2] M. I. Akazue, R. E. Yoro, B. O. Malasowe, O. Nwankwo, and A. A. Ojugo, “Improved services traceability and management of a food value chain using block-chain network : a case of Nigeria,” Indones. [4] R. E. Yoro, F. O. Aghware, B. O. Malasowe, O. Nwankwo, and A. A. Ojugo, “Assessing contributor features to phishing susceptibility amongst students of petroleum resources varsity in Nigeria,” Int.


id: keds-46800
title: Deep Learning Approaches with Optimum Alpha for Energy Usage Forecasting
date: 2023-10-17
pages: 18
extension: .pdf
mime: application/pdf
words: 7813
sentence: 457
flesch: 48
cache: cache/keds-46800.pdf
txt: txt/keds-46800.txt
author:
  Wibawa, Aji Prasetya; Utama, Agung Bella Putra; Akbari, Ade Kurnia Ganesh; Fadhilla, Akhmad Fanny; Triono, Alfiansyah Putra Pertama; Paramarta, Andien Khansa’a Iffat; Setyaputri, Faradini Usha; Hernandez, Leonel

summary:
  They can automatically extract essential features from time series data, such as seasonal patterns, trends, cycles, and irregularities. [14] can directly process time series data without the need for image conversion.


id: keds-44851
title: Stacked LSTM-GRU Long-Term Forecasting Model for Indonesian Islamic Banks
date: 2023-11-06
pages: 16
extension: .pdf
mime: application/pdf
words: 8952
sentence: 583
flesch: 56
cache: cache/keds-44851.pdf
txt: txt/keds-44851.txt
author:
  Sujatna, Yayat; Karno, Adhitio Satyo Bayangkari; Hastomo, Widi; Yuningsih, Nia; Arif, Dody; Handayani, Sri Setya; Kardian, Aqwam Rosadi; Wardhani, Ire Puspa; Rere, L.M Rasdi

summary:
  [54] J. Brownlee, “How to develop LSTM models for time series forecasting (2018).” The traditional LSTM and GRU models have several limitations compared to model stacks that combine LSTM and GRU.


id: keds-7803
author: Pujianto, Utomo; Setiawan, Asa Luki; Rosyid, Harits Ar; Salah, Ali M. Mohammad
date: 2019-12-23
pages: 14
extension: .pdf
mime: application/pdf
words: 8097
sentence: 428
flesch: 55
cache: cache/keds-7803.pdf
txt: txt/keds-7803.txt
title:
  Comparison of Naïve Bayes Algorithm and Decision Tree C4.5 for Hospital Readmission Diabetes Patients using HbA1c Measurement

summary:
  The second scenario in this study applies the SMOTE method for minority class data so that the distribution of label classes is balanced, moreover the number of label classes consists of the same three classes with scenario one. The concept of data cleaning applied in this study is by removing attribute values that have very high missing values such as the attribute payer code with a missing value of 52 % which has the potential to have no correlation with this study, and the weight and Medical specialty attribute that should be removed because it has very large missing values.


id: keds-47329
title: Comparison of Machine Learning Algorithms for Species Family Classification using DNA Barcode
date: 2023-11-06
pages: 18
extension: .pdf
mime: application/pdf
words: 8382
sentence: 565
flesch: 48
cache: cache/keds-47329.pdf
txt: txt/keds-47329.txt
author:
  Riza, Lala Septem; Rahman, M Ammar Fadhlur; Prasetyo, Yudi; Zain, Muhammad Iqbal; Siregar, Herbert; Hidayat, Topik; Samah, Khyrina Airin Fariza Abu; Rosyda, Miftahurrahma

summary:
  The data used are DNA barcode sequence data obtained from GenBank [52] (ncbi.nlm.nih.gov, accessed August 15, 2023). Figure 5 shows an example of DNA sequence data before and after sequence alignment.


id: keds-44877
author: Admojo, Fadhila Tangguh; Lajis, Adidah; Nasir, Haidawati
title: Systematic Literature Review on Ontology-based Indonesian Question Answering System
date: 2023-10-03
pages: 16
extension: .pdf
mime: application/pdf
words: 9770
sentence: 530
flesch: 36
cache: cache/keds-44877.pdf
txt: txt/keds-44877.txt
summary:
  This literature review paper delves into the state of ontology- based Indonesian QA systems, highlighting critical challenges. Knowledge Engineering and Data Science 2023, 6 (2): 129–144 140 Exploring more sophisticated query generation techniques for future advancements in ontology- based Indonesian QA systems is necessary.


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id: keds-47329
sid: 526
eid: 2
type: PERSON
entity:
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id: keds-47329
sid: 527
eid: 1
type: PERSON
entity:
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id: keds-47329
sid: 528
eid: 1
type: FAC
entity:
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id: keds-47329
sid: 528
eid: 2
type: FAC
entity:
  https://cran.r-project.org/web/packages/foreach/index.html https://cran.r-project.org/web/packages/foreach/index.html


id: keds-44877
sid: 381
eid: 1
type: PERSON
entity:
  http://journal2.um.ac.id/index.php/keds https://doi.org/10.5194/agile-giss-2-8-2021 https://doi.org/10.5194/agile-giss-2-8-2021 https://doi.org/10.5121/ijcses.2018.9601 https://doi.org/10.5121/ijcses.2018.9601 https://doi.org/10.5220/0009392205320539 https://doi.org/10.5220/0009392205320539 https://doi.org/10.36478/jeasci.2019.8289.8292 https://doi.org/10.36478/jeasci.2019.8289.8292


id: keds-44877
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type: PERSON
entity:
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id: keds-44877
sid: 465
eid: 1
type: ORG
entity:
  https://doi.org/10.1088/1755-1315/258/1/012032 https://doi.org/10.1088/1755-1315/258/1/012032 f. t. admojo et al


id: keds-44877
sid: 498
eid: 1
type: PERSON
entity:
  https://doi.org/10.29100/jipi.v7i4.3206 https://doi.org/10.29100/jipi.v7i4.3206 https://doi.org/10.30865/mib.v6i4.4530 https://doi.org/10.30865/mib.v6i4.4530 https://doi.org/10.30865/mib.v6i4.4530 https://doi.org/10.47065/josyc.v3i4.2079 https://doi.org/10.47065/josyc.v3i4.2079


# pos

id: keds-14682
sid: 300
tid: 4
pos: VERB
token:
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lemma:
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id: keds-21183
sid: 321
tid: 4
pos: NOUN
token:
[cell repeats an earlier one in this file: 108 characters]

lemma:
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id: keds-19166
sid: 499
tid: 7
pos: VERB
token:
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lemma:
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id: keds-25719
sid: 237
tid: 2
pos: PROPN
token:
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lemma:
  http://p2p.kemkes.go.id/penyakit-kanker-di-indonesia-berada-pada-urutan-8-di-asia-tenggara-dan-urutan-23-di-asia/


id: keds-25035
sid: 252
tid: 16
pos: PROPN
token:
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lemma:
  i.%20leong,%20pkp:%20kadar%20pematuhan%2092%20peratus%20tapi%20penjarakan%20sosial%20gagal%20dipatuhi%20-%20ismail%20sabri.%20astro%20awani.%20https:/www.astroawani.com


id: keds-25035
sid: 255
tid: 13
pos: PROPN
token:
  a.%20povera:%20significant%20increase%20in%20the%20number%20of%20sop%20flouters.%20new%20straits%20times.%20https:/www.nst.com.my

lemma:
  a.%20povera:%20significant%20increase%20in%20the%20number%20of%20sop%20flouters.%20new%20straits%20times.%20https:/www.nst.com.my


id: keds-25035
sid: 255
tid: 94
pos: NOUN
token:
  i.%20hilmy:%20eight%20slapped%20with%20rm1k%20compound%20each%20for%20breaching%20recovery%20mco%20in%20penang.%20the%20star.%20https:/www.thestar.com.my

lemma:
  i.%20hilmy:%20eight%20slapped%20with%20rm1k%20compound%20each%20for%20breaching%20recovery%20mco%20in%20penang.%20the%20star.%20https:/www.thestar.com.my


id: keds-29576
sid: 324
tid: 1
pos: PROPN
token:
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lemma:
  https://scholar.google.com/scholar?hl=id&as_sdt=0%2c5&q=e.+frank%2c+m.+a.+hall%2c+and+i.+h.+witten%2c+%e2%80%9cthe+weka+workbench%2c%e2%80%9d+data+min.%2c+pp.+553%e2%80%93571%2c+2017%2c+doi%3a+10.1016%2fb978-0-12-804291-5.00024-6.&btng=


id: keds-38346
sid: 326
tid: 5
pos: PROPN
token:
  https://scholar.google.com/scholar?hl=id&as_sdt=0%2c5&q=research+of++association++rules+algorithm+in++data++mining&btng=

lemma:
  https://scholar.google.com/scholar?hl=id&as_sdt=0%2c5&q=research+of++association++rules+algorithm+in++data++mining&btng=


id: keds-37459
sid: 374
tid: 2
pos: PROPN
token:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=%5b29%5d%09a.+s.+osman%2c+%e2%80%9cdata+mining+techniques%3a+review.+2+%281%29%2c+1%e2%80%934.%e2%80%9d+2019.&btng=

lemma:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=%5b29%5d%09a.+s.+osman%2c+%e2%80%9cdata+mining+techniques%3a+review.+2+%281%29%2c+1%e2%80%934.%e2%80%9d+2019.&btng=


id: keds-40357
sid: 299
tid: 6
pos: PROPN
token:
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lemma:
  https://scholar.google.com/scholar?hl=id&as_sdt=0%2c5&q=automated+text+summarization+in+summarist%2c+advances+in+automatic+text+summarization&btng=


id: keds-40357
sid: 306
tid: 4
pos: PROPN
token:
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lemma:
  https://scholar.google.com/scholar?hl=id&as_sdt=0%2c5&q=development+program+application+to+the+measurement+of+documents+resemblance+text+mining%2c+tfidf%2c+and+vector+space+model+algoritm&btng=


id: keds-44603
sid: 338
tid: 5
pos: PUNCT
token:
  https://scholar.google.com/scholar?hl=id&as_sdt=0%2c5&q=traffic+jam%3a+the+ugly+side+of+dhaka%27s+development&btng=

lemma:
  https://scholar.google.com/scholar?hl=id&as_sdt=0%2c5&q=traffic+jam%3a+the+ugly+side+of+dhaka%27s+development&btng=


id: keds-40159
sid: 500
tid: 4
pos: VERB
token:
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lemma:
  https://www.researchgate.net/publication/340351415_an_empirical_study_for_student_academic_performance_prediction_using_machine_learning_technique


id: keds-40159
sid: 557
tid: 5
pos: VERB
token:
  https://www.researchgate.net/publication/290312652_comparison_of_see5_and_j48part_algorithms_for_missing_persons_profiling

lemma:
  https://www.researchgate.net/publication/290312652_comparison_of_see5_and_j48part_algorithms_for_missing_persons_profile


id: keds-40159
sid: 558
tid: 1
pos: NOUN
token:
[cell repeats an earlier one in this file: 121 characters]

lemma:
  https://scholar.google.com/scholar?q=educational%20data%20mining%20%20a%20new%20approach%20to%20the%20education%20system


id: keds-6058
sid: 224
tid: 1
pos: PROPN
token:
  https://www.penebarswadaya.com/shop/teknologi/pertanian-dan-industri/petunjuk-penggunaan-pupuk-revisi/

lemma:
  https://www.penebarswadaya.com/shop/teknologi/pertanian-dan-industri/petunjuk-penggunaan-pupuk-revisi/


id: keds-40889
sid: 327
tid: 3
pos: PROPN
token:
  https://scholar.google.com/scholar?hl=id&as_sdt=0%2c5&q=r+supanggah%2c+both%c3%a8kan+karawitan+&btng=

lemma:
  https://scholar.google.com/scholar?hl=id&as_sdt=0%2c5&q=r+supanggah%2c+both%c3%a8kan+karawitan+&btng=


id: keds-46553
sid: 380
tid: 1
pos: PROPN
token:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=islamic+post+brain+research%3a+quranic+memorization+key+to+muslim+scientific&btng=

lemma:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=islamic+post+brain+research%3a+quranic+memorization+key+to+muslim+scientific&btng=


id: keds-46553
sid: 383
tid: 3
pos: PROPN
token:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=4+reasons+why+you+should+use+google+colab+for+your+next+project&btng=

lemma:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=4+reasons+why+you+should+use+google+colab+for+your+next+project&btng=


id: keds-46553
sid: 385
tid: 3
pos: PROPN
token:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=introduction+to+random+forest+in+machine+learning&btng=

lemma:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=introduction+to+random+forest+in+machine+learning&btng=


id: keds-46417
sid: 564
tid: 2
pos: PROPN
token:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=sentiment+analysis+in+detecting+sophistication+and+degradation+cues+in+malicious+web+contents&btng=

lemma:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=sentiment+analysis+in+detecting+sophistication+and+degradation+cues+in+malicious+web+contents&btng=


id: keds-46417
sid: 598
tid: 1
pos: PROPN
token:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=degatramonn%e2%80%af%3a+deep+learning+memetic+ensemble+to+detect+spam+threats+via+a+content-based+processing&btng=

lemma:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=degatramonn%e2%80%af%3a+deep+learning+memetic+ensemble+to+detect+spam+threats+via+a+content-based+processing&btng=


id: keds-47329
sid: 456
tid: 2
pos: PROPN
token:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=natural+language+processing+and+levenshtein+distance+for+generating+error+identification+typed+questions+on+toefl&btng=

lemma:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=natural+language+processing+and+levenshtein+distance+for+generating+error+identification+typed+questions+on+toefl&btng=


id: keds-44851
sid: 168
tid: 10
pos: PROPN
token:
  --------------------------------------------------------------------------------------------------------------------r

lemma:
  --------------------------------------------------------------------------------------------------------------------r


id: keds-44851
sid: 474
tid: 5
pos: PROPN
token:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=sharia+fintech+%28financial+technology%29+opportunities+and+challenges+in+indonesia&btng=

lemma:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=sharia+fintech+%28financial+technology%29+opportunities+and+challenges+in+indonesia&btng=


id: keds-44851
sid: 642
tid: 9
pos: PROPN
token:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=how+to+develop+lstm+models+for+time+series+forecasting+%282018%29&btng=

lemma:
  https://scholar.google.com/scholar?hl=en&as_sdt=0%2c5&q=how+to+develop+lstm+models+for+time+series+forecasting+%282018%29&btng=


id: keds-44877
sid: 463
tid: 9
pos: VERB
token:
[cell repeats an earlier one in this file: 159 characters]

lemma:
  https://www.researchgate.net/publication/318815274_question_answering_system_a_review_on_question_analysis_document_processing_and_answer_extraction_technique


id: keds-44877
sid: 499
tid: 4
pos: NOUN
token:
[cell repeats an earlier one in this file: 167 characters]

lemma:
  https://www.researchgate.net/publication/321016806_extending_an_indonesian_semantic_analysis-based_question_answering_system_with_linguistic_and_world_knowledge_axiom


