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INDONESIA
Jurnal Penelitian Ilmu komputer
Published by PT Triputra Sejahtera Prima
ISSN : 29861543     EISSN : 2986030X     DOI : https://doi.org/10.5281/zenodo.7720440
Core Subject : Science,
Computer Science & IT
JUPIK: Jurnal Penelitian Ilmu komputer adalah jurnal ilmiah penelitian yang diterbitkan secara berkala yaitu 4 kali dalam setahun (Maret, Juni, September dan Desember) yang bertujuan untuk menyebarluaskan berbagai jenis hasil riset di bidang Ilmu Komputer kepada publik. Saat ini JUPIK menerima kiriman artikel hasil riset di bidang ilmu komputer yang ditulis dalam Bahasa Indonesia . Adapun bidang keilmuan yang menjadi fokus di dalam JUPIK antara lain: Information System, Management Information Systems, Project Management Systems, Supply Chain Management System, Customer Relationship Management, Artificial Intelligence, Machine Learning, Game, Business Intelligence & Data Visualitation, Software Engineering & Software Re-Engineering, Data Management, Data Mining, User Interface (UI) & User Experience (UX), Mobile & Web Technology Multimedia System & Computer Network, Cloud Computing, Internet Of Things. Penentuan artikel yang dimuat dalam JUPIK akan melalui proses double blind review oleh JUPIK, dengan mempertimbangkan antara lain: terpenuhinya persyaratan baku publikasi jurnal, metodologi riset yang digunakan, dan signifikansi kontribusi hasil riset terhadap pengembangan keilmuan bidang ilmu komputer. Editor bertanggung jawab untuk memberikan telaah konstruktif, dan jika dipandang perlu menyampaikan hasil evaluasi kepada penulis artikel.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 91 Documents
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PERANCANGAN APLIKASI WEB PEMETAAN DATA WARGA BERBASIS ALGORITMA RANDOM FOREST UNTUK PREDIKSI KESEJAHTERAAN DI LINGKUNGAN RT 002 RW 012 Pradana, Reza
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 4 No. 1 (2026): Maret
Publisher : PT Triputra Sejahtera Prima

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Abstract

Residents' well-being is a crucial factor determining the quality of life in a community. Planning targeted socioeconomic development programs is essential to achieving equitable distribution of resident welfare. However, diverse socioeconomic conditions and the manual process of mapping welfare data present challenges for decision-making at the neighborhood association/Rukun Tetangga (RT) level. This research aims to design a web application based on the random forest algorithm capable of predicting the level of welfare of residents in RT 002 RW 012. The research method involved collecting data from various welfare indicators, which were analyzed using the random forest algorithm to generate a classification of residents' welfare levels. The results showed that the random forest algorithm was able to predict welfare levels with high accuracy, with a confusion matrix test result of 90.33%. Other tests, including cross-validation, achieved 95.83% accuracy., This research also resulted in a system to simplify the management of resident data and socioeconomic conditions. This system can assist neighborhood association/Rukun Tetangga (RT) administrators in making more effective and data-driven decision-making.

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