15 articles in this issue
Oman Somantri(1), Ratih Hafsarah Maharrani(2), Santi Purwaningrum(3), (1) Department of Informatics, StatePolytechnic of Cilacap, Indonesia (2) Department of Informatics, Politeknik Negeri Cilacap, Indonesia (3) Department of Informatics, StatePolytechnic of Cilacap, Indonesia
Ahmad Solikhin Gayuh Raharjo(1), Endang Sugiharti(2), (1) Computer Science Department, Universitas Negeri Semarang, Indonesia (2) Computer Science Department, Universitas Negeri Semarang, Indonesia
Agus Fahmi Limas(1), Rika Rosnelly(2), Hartono Hartono(3), Aly Nursie(4), (1) Department of Computer Science, Potensi Utama University (2) Department of Computer Science, Potensi Utama University (3) Department of Computer Science, Potensi Utama University (4) Department of Computer Science, Potensi Utama University
Methods: In this study, using 2 data mining techniques namely Support Vector Machine and K-Nearest Neighbor were applied to predict diabetes. In this study, 768 diabetes data were used as trial data, consisting of training data that had been pre-processed... see more
Erna Zuni Astuti(1), Christy Atika Sari(2), Mutiara Syabilla(3), Hendra Sutrisno(4), Eko Hari Rachmawanto(5), Mohamed Doheir(6), (1) Department of Informatics Engineering, Universitas Dian Nuswantoro, Indonesia (2) Department of Informatics Engineering, Universitas Dian Nuswantoro, Indonesia (3) Department of Informatics Engineering, Universitas Dian Nuswantoro, Indonesia (4) Department of Informatics Engineering, Universitas Dian Nuswantoro, Indonesia (5) Department of Informatics Engineering, Universitas Dian Nuswantoro, Indonesia (6) Department of Computer Science, University Geomatrika, Malaysia
Hanny Haryanto(1), Umi Rosyidah(2), Acun Kardianawati(3), Erna Zuni Astuti(4), Erlin Dolphina(5), Ronny Haryanto(6), (1) Department of Informatics, Universitas Dian Nuswantoro, Indonesia (2) Department of Informatics, Universitas Dian Nuswantoro, Indonesia (3) Department of Information System, Universitas Dian Nuswantoro, Indonesia (4) Department of Informatics, Universitas Dian Nuswantoro, Indonesia (5) Department of Informatics, Universitas Dian Nuswantoro, Indonesia (6) National Taiwan University of Science and Technology, Taiwan
Lila Setiyani(1), Wiranto Herry Utomo(2), (1) Department of Informatics, President University, Indonesia (2) Department of Informatics, President University, Indonesia
Evrina Budiastuti(1), Hamzah Ritchi(2), Yosini Deliana(3), (1) Regional Innovation Graduate School, Universitas Padjadjaran, Indonesia (2) Departement of Accounting, Universitas Padjadjaran, Indonesia (3) Departement of Agricultural Socio-Economics, Universitas Padjadjaran, Indonesia
Methods: This research employed a mixed method with an explanatory sequential design. The intended audience for the census of respondents was farmers who had utilized the Kiosagri.com platform. Data analysis was done on 32 respondents during the qua... see more
Syahrani Lonang(1), Anton Yudhana(2), Muhammad Kunta Biddinika(3), (1) Program Studi Magister Informatika, Universitas Ahmad Dahlan, Yogyakarta, Indonesia (2) Program Studi Teknik Elektro, Universitas Ahmad Dahlan, Yogyakarta, Indonesia (3) Program Studi Magister Informatika, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
Methods: The dataset used in this study is the nutritional status of toddlers from Puskesmas Ubung. The classification method proposed in this research is the KNN algorithm with Euclidean distance. There are three scenarios for the classification model th... see more
Fadhil Umar(1), Edy Raharja(2), Jihaddul Akbar Mahardika(3), M. Topan Bastari Arkhiansyah(4), (1) Department of Management, Faculty of Economics and Business, Universitas Diponegoro, Indonesia (2) Department of Management, Faculty of Economics and Business, Universitas Diponegoro, Indonesia (3) Department of Management, Faculty of Economics and Business, Universitas Diponegoro, Indonesia (4) Department of Management, Faculty of Economics and Business, Universitas Diponegoro, Indonesia
Methods: The research approach is quantitative, with sampling using a purposive sampling technique and the research sample is 133 university students in Semarang. This research establishes a structural equation modeling (SEM) analysis with Smart PLS.Resul... see more
Lindawati Lindawati(1), Muhammad Fadli Ramadhan(2), Sopian Soim(3), Nabila Rizqi Novianda(4), (1) Department of Electrical Engineering, Politeknik Negeri Sriwijaya, Indonesia (2) Department of Electrical Engineering, Politeknik Negeri Sriwijaya, Indonesia (3) Department of Electrical Engineering, Politeknik Negeri Sriwijaya, Indonesia (4) Department of Electronics Engineering, National Chin-yi University of Technology, Taiwan
Methods: To improve the accuracy of the fake news detection model and optimize the model from previous research, this study uses the hyperparameter tuning technique on models with Long Short-Term Memory (LSTM) neural network architecture. For this techniq... see more
Mohamad Sukarno(1), Ulung Pribadi(2), (1) Department of Government Affairs and Administration, Universitas Muhammadiyah Yogyakarta, Indonesia (2) Department of Government Affairs and Administration, Universitas Muhammadiyah Yogyakarta, Indonesia
Rahma Satila Passa(1), Siti Nurmaini(2), Dian Palupi Rini(3), (1) Department of Computer Science, Universitas Sriwijaya, Indonesia (2) Department of Computer Science, Universitas Sriwijaya, Indonesia (3) Department of Computer Science, Universitas Sriwijaya, Indonesia
Apriyanti Anggraini Sitorus(1), Ali Ikhwan(2), Moustafa H. Aly(3), (1) Department of Information System, Universitas Islam Negeri Sumatera Utara, Indonesia (2) Department of Information System, Universitas Islam Negeri Sumatera Utara, Indonesia (3) Department of Electronics and Communications Engineering, Technology and Maritime Transport, Egypt
Mochamad Ridwan(1), Kusman Sadik(2), Farit Mochamad Afendi(3), (1) Department of Statistics, IPB University, Indonesia (2) Department of Statistics, IPB University, Indonesia (3) Department of Statistics, IPB University, Indonesia
Dewi Handayani Untari Ningsih(1), Alya aulia Nurdin(2), Much Aziz Muslim(3), (1) Department of Informatic Engineering, Universitas Stikubank, Indonesia (2) Department of Computer Science, Universitas Negeri Semarang, Indonesia (3) Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, Malaysia