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All Journal INFORMAL: Informatics Journal Journal of Innovation and Future Technology (IFTECH) Jurnal ABDINUS : Jurnal Pengabdian Nusantara JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Frontiers Jurnal Teknik Informatika (JUTIF) Jurnal Cahaya Mandalika JOINTER : Journal of Informatics Engineering Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Indonesian Journal of Innovation Studies Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Media Computer Science Innovative: Journal Of Social Science Research Jurnal Penelitian Teknologi Informasi dan Sains The Indonesian Journal of Computer Science
Gladly Caren Rorimpandey
Universitas Negeri Manado
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Other

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Web-Based Attendance System For Daily Freelance Workers At The Secretariat Of The Regional House Of Representatives (DPRD) Of Minahasa Regency Using The Prototype Method Rawung, Lanamey Praisy Indiana; Rorimpandey, Gladly Caren
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.9067

Abstract

The procedure of recording the attendance of casual workers at the Secretariat of the Regional People's Representative Council (DPRD) of Minahasa Regency is still carried out manually, which is easily exposed to recording errors, manipulation of data, and requires ineffective time and energy. To solve this problem, this research aims to design and develop a web-based attendance recording system by applying the Prototype method. This method was chosen because it supports the development of a system that is interactive and responsive to user needs through a series of iterations between developers and users. The designed system enables electronic attendance recording, employee data management, as well as the presentation of attendance reports automatically and precisely. The pilot test shows that the system is able to increase efficiency and accuracy in the attendance administration process, as well as facilitate supervision by the authorities. Therefore, the system is expected to serve as an effective solution to support a more modern and transparent administrative management within the Secretariat of Minahasa Regency Parliament.
Predictive Classification of Online Gambling Impacts in North Sulawesi Using Naive Bayes: Klasifikasi Prediktif Dampak Judi Online di Sulawesi Utara Menggunakan Naive Bayes Tameo, Vito Ernesto; Tinambunan, Medi Hermanto; Rorimpandey, Gladly C.
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.1728

Abstract

General background: Online gambling has become a growing societal issue in Indonesia, affecting various economic and social dimensions. Specific background: North Sulawesi is identified as one of the most vulnerable regions, with a high volume of gambling transactions and significant social consequences. Knowledge gap: Previous studies in Indonesia have focused mainly on behavioral, legal, or health aspects, with limited use of predictive modeling to map community vulnerability. Aims: This study aims to analyze the social, economic, and psychological impacts of online gambling and to develop a predictive model using the Naive Bayes algorithm to classify impact levels. Results: Based on data from 504 respondents, the model achieved an accuracy rate of 94.05% in classifying impacts into light, moderate, and severe categories. Precision and recall were highest for light and severe categories, while moderate categories showed lower performance. Novelty: This research introduces a data-driven predictive approach within a regional Indonesian context, which has been underexplored in prior studies. Implications: The findings provide a practical foundation for regional governments to design targeted interventions, ranging from digital literacy programs to psychological rehabilitation services, based on data-driven risk classification. Highlight: The model achieved 94.05% accuracy in classifying online gambling impacts. Regional data provided structured insights into social, economic, and psychological consequences. Findings support evidence-based policymaking for targeted local interventions. Keyword:Online Gambling, Predictive Classification, Naive Bayes Algorithm, Social and Economic Impacts, North Sulawesi
Co-Authors Alfred Tenda Lumataw Alfrina Mewengkang Ayu Triana Situmorang Chrysilia Rimbing Cindy Pamela C Munaiseche Civita Loho Fatimah HS Gupuh, Andi Hamsah Hamsah Hendro Maxwell Sumual Hulu, Lena Enjelin Intan, Sondakh Agnes Kezia Lipan Krina Crisila T. Mawuntu Kristofel Santa Mamonto, Nurmila Maramis, Glenn D. P. Marcelliano Riccardy Anantho Omega Kalitouw Martina Lorensa Medi Hermanto Tinambunan Moh Ramdhan Arif Kaluku Moningkey, Efraim R.S Olivia Kembuan Pandey, Grasella Quido Conferti Kainde Ramdan Adjis Rapar, Pedro Vincensius Rawung, Lanamey Praisy Indiana Refandi Andika Runtu Rivchi Hanni Ngovangari Silalahi, Rike Solagratia Saron Tandiapa Sondy C. Kumajas Stevyoman Oktavianus Mumpel Sulaeman, Raffy Avian Supit, Charenia Tameo, Vito Ernesto Tiwi, Heri Susan Vincensius Rapar, Pedro Vira Chlaudia Makahinda Vivi P. Rantung Vivi Peggie Rantung Vivi Rantung