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All Journal Jiko (Jurnal Informatika dan komputer) INFORMASI (Jurnal Informatika dan Sistem Informasi) Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal MediaTIK Jurnal Teknologi dan Informatika JISTECH: Journal of Information Science and Technology
Kristia Yuliawan
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Infografi Pemerataan PBB (Pajak Bumi Bangunan) di Kantor Bapenda Kabupaten Nabire Menggunakan ArcGIS Kristia Yuliawan; Abigael Jenifer Simopiaref
Jurnal Teknologi dan Informatika Vol. 3 No. 2 (2026): Februari: JTI : Jurnal Teknologi dan Informatika
Publisher : STMIK Pesat Nabire

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70539/jti.v3i2.91

Abstract

Geographic Information Systems (GIS) based on ArcGIS are crucial tools for analyzing and visualizing the equitable distribution of Land and Building Tax (PBB) in Nabire Regency. This research aims to design a comprehensive spatial infographic that illustrates PBB distribution and assists the Nabire Regency Revenue Agency (Bapenda) in identifying potential areas for increased revenue. Through the processing of spatial and non-spatial data, the study reveals significant imbalances in PBB collection across different regions, with urban and economic centers showing higher achievements compared to peripheral areas. The resulting thematic maps and pie diagrams effectively visualize the proportion of PBB potential versus realization, highlighting areas with untapped tax potential. These findings underscore that geospatial visualization not only aids in making fair and equitable fiscal policies but also plays a strategic role in raising public awareness and participation in PBB payments, aligning with principles of fiscal justice and optimalization of Local Own-Source Revenue (PAD).
Sistem Informasi Pengarsipan Data Penduduk DP3A Kabupaten Nabire Berbasis Web Gloriyana Dwijayanti Hurulean; Kristia Yuliawan
Jurnal Teknologi dan Informatika Vol. 3 No. 2 (2026): Februari: JTI : Jurnal Teknologi dan Informatika
Publisher : STMIK Pesat Nabire

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70539/jti.v3i2.94

Abstract

Efficient and accurate management of population data is a crucial aspect for government organizations, especially the Nabire Regency Women's Empowerment and Child Protection Office (DP3A). Currently, manual filing methods cause various obstacles, such as data errors, delays in public services, and difficulties in the reporting process. This study proposes the development of a web-based population data archiving information system using the Waterfall method. The system is designed to integrate and automate the process of managing sensitive data, including search, update, and report generation features. The results of the development show that the system is able to improve operational efficiency, data accuracy, and information security. In addition, this system supports transparency and accountability in the management of the DP3A program, including MSME and Family Planning data, while facilitating access to information for the public. Thus, this web-based archiving information system is expected to be a strategic solution in improving the quality of public services and supporting more appropriate decision-making within the DP3A environment of Nabire Regency.
COMPARISON OF DECISION TREE AND NAÏVE BAYES ALGORITHMS IN PREDICTING STUDENT GRADUATION AT YPK JUNIOR HIGH SCHOOL, NABIRE REGENCY Kristia Yuliawan; Stevanus Murib
JIKO (Jurnal Informatika dan Komputer) Vol 7 No 2 (2024)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i2.8506

Abstract

This study aims to compare the accuracy of the Decision Tree C4.5 and Naive Bayes algorithms in predicting student graduation at YPK Immanuel Nabire Junior High School, Central Papua. Student data from the 2022 and 2023 school years were used as training data, whereas student data for the 2024 school year were used as testing data. Data collection methods included field studies, interviews with schools, and literature studies. The implementation of the algorithm is carried out using the Orange software, which simplifies the process of data visualization and analysis. Both algorithms are applied to data processed through stages of cleaning and normalization to ensure the quality and relevance of the data used. The results show that the Decision Tree C4.5 algorithm has a prediction accuracy of 90.91%, while the Naive Bayes algorithm has an accuracy of 63.64%. The C4.5 Decision Tree algorithm is superior in predicting student graduation compared to Naive Bayes, which means that the C4.5 Decision Tree is more effective in identifying students who are likely to pass or not pass. The implementation of the C4.5 Decision Tree algorithm also helps schools make better decisions to support students who require additional attention. The study concluded that the Decision Tree C4.5 algorithm is recommended for use in predicting student graduation because it provides higher accuracy. The results of this research can be used by schools to improve the efficiency of the graduation prediction process and develop more effective and efficient learning programs. Using the right algorithms, schools can be more proactive in identifying students who need additional support, which can reduce academic failure rates and improve the overall quality of education
PENGEMBANGAN SISTEM INFORMASI MAHASISWA KULIAH KERJA NYATA (KKN) UNIVERSITAS PAPUA MENGGUNAKAN PHP DAN MYSQL: INFORMATION SYSTEM DEVELOPMENT REAL WORK COLLEGE STUDENTS (KKN) PAPUA UNIVERSITY USES PHP AND MYSQL Kristia Yuliawan; Adie Purnama Putra
JISTECH: Journal of Information Science and Technology Vol 10 No 2 (2018): Oktober 2018
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

KKN is a form of academic activities related to community service activities that arecarried out by interdisciplinary and intraculicular activities. The implementation iscoordinated by research institutions and community service (LPPM). Data from PapuaState University students who have been modest so far, besides that there is no digitallyrecorded data, in the form of student numbers, student names, location of assignmentsor supervision. So there needs to be a MySQL database application that can facilitateLPPM and help students in the KKN registration process.The research method used is the Development of KKN Information System datacollection, analysis, design, implementation and testing. System design uses Data FlowDiagrams (DFD) and ERD (Entity Relationship Diagrams). The development of theKKN information system development using PHP version 5.6.23 and MySQL. Theadded feature is the student registration feature, KKN photo gallery upload feature,input KKN value, message input to LPPM, input announcement and upload fileattached to the announcement. This research facilitates students and LPPM inregistering KKN and group division so that it can be far more effective and efficienKeywords: Application Development, KKN, PHP, MySQL, Web.
Co-Authors Abigael Jenifer Simopiaref Adie Purnama Putra AGUNG HARDIANSYAH Alya Tasya Indriani Andre Duma Arief Rahman Hakim Cici Kamalia Diana Wonda Donny Irwanto Ester Ayuk Pusvita Gerry Novand Kaunang Gloriyana Dwijayanti Hurulean Gunawan Prayitno Jevan Pilenaung Juridno Wilson Kelvin Kelvin Lusia Esterina Konsita Maria Claudia Letsoin Mei Herba Natalia Paisey Nur Hidayatullah Ahmad Olvan Nadia Manikome Randi Tandiele Raymond, Christian Paul Stevanus Murib Sulastri Arung Sombolinggi Usman Arfan Wisna Bara’ Padalingan