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All Journal Jurnal Bina Komputer Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Iski Mediansyah
Universitas Serelo Lahat
Computer Science & IT Electrical & Electronics Engineering Engineering

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PERANAN E-GOVERNMENT DALAM PELAYANAN PUBLIK KECAMATAN KOTA AGUNG (Studi kasus : E-Government Kabupaten lahat) Iski Meidiansyah; Darius Antoni; Muhamad Akbar
Jurnal Bina Komputer Vol 1 No 1 (2019): Jurnal Bina Komputer
Publisher : Jurnal Ilmiah Terpadu Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (537.041 KB) | DOI: 10.33557/binakomputer.v1i1.148

Abstract

The use of E-Government becomes an inseparable part of public activity. Therefore, the development and improvement of E-Government should always be done considering the current technology has been developed, especially in the interface or interface. In an effort to achieve the efficiency of the role of e-government in public service using RBV theory is important enough, let alone related to the satisfaction of use, the feasibility of website display, information system satisfaction, and others. The e-government Portal Website is used as a product, public service and community use satisfaction in Lahat District. This website is also used as a means of agency information. Review of Website utilization e-government portal needs to be done to measure from user satisfaction level. To measure the level of user satisfaction / Website users. Lahat District as one of the local Governments in South Sumatra has been using E-Government in the performance process. The purpose of this research is to generate a good usability value, so that later will provide input to Lahat Regency about the development of E-Government. The method in this research is action research using descriptive research with quantitative approach. Testing is done by Partial Least Square method, as a benchmark to generate public satisfaction. Based on the discussion then in this study obtained the conclusion that the e-Government interface of Lahat Regency currently does not reach the ideal usability level then the researcher gives the proposal to provide training to the public
Penerapan KNN, DT, dan NB untuk Memprediksi Task Success Developer Berbasis AI-Metrics Iski Mediansyah; Muhammad Bitrayoga; Arief Zikry; Firza Septian
BETRIK Vol. 16 No. 02 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/rsvfdr22

Abstract

This study is motivated by the limited utilization of AI-based metrics to predict task success among developers in software development projects. The main issue addressed is the absence of a systematic comparative approach to classification algorithms in identifying the most effective model in this context. Therefore, this research compares the performance of three classification algorithms—K-Nearest Neighbors (KNN), Decision Tree (DT), and Naïve Bayes (NB)—in predicting task success using AI-metrics data. The evaluation metrics include precision, recall, F1-score, and accuracy, presented through classification reports and confusion matrices. The results show that DT achieved an accuracy of 91%, KNN 92%, and NB 86%. The confusion matrix analysis indicates that DT demonstrates high precision, KNN shows minor imbalance, and NB struggles to identify minority classes. Additionally, clustering was performed using the K-Means algorithm and visualized in two dimensions through Principal Component Analysis (PCA),  revealing clear segmentation among developer groups. The ultimate benefit of this study is to provide a foundation for decision-making in selecting the most appropriate algorithm to enhance developer team effectiveness and personalize managerial strategies. The novelty of this research lies in the combined application of classification and clustering approaches using AI-metrics to more accurately and datadrivenly identify developer task success. 
Co-Authors Darius Antoni Firza Septian Muhamad Akbar Muhammad Bitrayoga