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All Journal Indonesian Journal of Innovation Studies Innovative: Journal Of Social Science Research
Rompas, Parabelem Tino Dolf
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Humanities Computer Science & IT Education Engineering Law, Crime, Criminology & Criminal Justice Public Health Other

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Sistem Monitoring dan Evaluasi Kepala Satuan di Kepolisian Resor Minahasa Berbasis Web Menggunakan Metode Rapid Application Development Marthin, Claudia; Rompas, Parabelem Tino Dolf; Tangkawarow, Irene Realyta Halldy Trosi
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.11237

Abstract

Di era pesatnya perkembangan teknologi informasi, sistem yang efisien untuk menyatukan dan memutar kinerja lembaga-lembaga publik seperti Kepolisian Negara Republik Indonesia menjadi sangat penting. Kepala Satuan bertanggung jawab memastikan anggota yang dipimpinnya melayani masyarakat secara efektif dan efisien. Namun proses pemantauan dan evaluasi kinerja masih bersifat manual dan bergantung pada aplikasi pesan instan seperti WhatsApp, rentan terhadap kesalahan dan tertunda, serta sulit dibaca dan dianalisis. Meskipun hal ini menyulitkan pengelola untuk menilai kinerja Kasat dan mengidentifikasi masalah secara efektif, namun evaluasi secara berkala sangat penting untuk Peningkatan Kenaikan Pangkat (UKP) . Untuk mengatasi masalah ini, kami mengembangkan “Sistem Pemantauan Dan Evaluasi Kepala Satuan Di Kepolisian Resor Minahasa Berbasis Web Menggunakan Metode Rapid Application Development”
Development of a Global Positioning System and Deep Learning Based Attendance System: Pengembangan Sistem Presensi Berbasis Global Positioning System dan Deep Learning Rompas, Parabelem Tino Dolf; Said, Astrid Padri
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.v26i4.1787

Abstract

Background: The advancement of digital technology has transformed government administrative processes, demanding more transparent and accurate systems for managing employee attendance. Specific background: The Tomohon Land Office still relies on manual attendance methods that often result in inefficiency, fraud potential, and limited verification capability. Knowledge gap: Current attendance systems lack integration between geographical validation and automatic identity verification. Aims: This research aims to develop an attendance system based on Global Positioning System and Deep Learning algorithms for reliable facial recognition and real-time location validation. Results: Using the Waterfall development model, the system integrates geographical coordinates and facial data, achieving 95–98 percent recognition accuracy and under two seconds of response time. Novelty: The system introduces a combined method of multi-angle facial enrolment and precise location verification through Haversine calculation. Implications: This innovation promotes transparency, accuracy, and efficiency in employee attendance management and supports digital transformation in public institutions. Highlights Integration of Global Positioning System and Deep Learning enables precise attendance validation. Multi-angle facial enrolment ensures stable and reliable recognition results. Supports digital transformation for transparent and efficient attendance management. Keywords Global Positioning System, Deep Learning, Facial Recognition, Employee Attendance System, Digital Transformation
Asynchronous Fetching and Periodic Polling for Web-Based Staffing Dashboards: Asynchronous Fetching dan Periodic Polling pada Dashboard Kepegawaian Berbasis Web Rompas, Parabelem Tino Dolf; Saroinsong, Samuel
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1884

Abstract

General Background: Timely information flow is a critical requirement in public administrative systems, particularly in environments with limited server infrastructure. Specific Background: At the Agricultural Modernization Implementation Center of North Sulawesi, manual staffing administration processes have caused high information latency and scheduling conflicts, motivating the adoption of a web-based staffing dashboard. Knowledge Gap: Fully real-time architectures are often resource-intensive and unsuitable for local government infrastructures, while alternative lightweight synchronization strategies remain underexplored in this context. Aims: This study aims to implement and evaluate the integration of Asynchronous Data Fetching and Client-Side Periodic Polling algorithms within a web-based staffing dashboard developed using the Rapid Application Development method. Results: Performance evaluation using Google Lighthouse recorded a Total Blocking Time of 160 ms, indicating minimal main-thread disruption, while comparative analysis showed a 99.5% reduction in information latency compared to manual procedures. Novelty: The study demonstrates a practical combination of asynchronous data loading and periodic polling as a stable and lightweight solution for administrative dashboards under server constraints. Implications: The findings indicate that government institutions with limited infrastructure can adopt similar client-side optimization strategies to achieve responsive and stable web-based administrative services without increasing server capacity. Highlights • The dashboard architecture minimizes browser main-thread workload through parallel asynchronous data loading• Periodic polling at a 15-second interval maintains stable notification synchronization under limited server resources• Administrative information latency is substantially reduced compared to conventional manual workflows Keywords Asynchronous Data Fetching; Periodic Polling; Web-Based Staffing Dashboard; Information Latency; Public Administration Systems
Co-Authors Irene Realyta Halldy Trosi Tangkawarow Marthin, Claudia Said, Astrid Padri Saroinsong, Samuel