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All Journal Jurnal Teknik Informatika (JUTIF) Jurnal Sains Informatika Terapan (JSIT)
Pandoh, Kevin Mclaren
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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STATISTICAL DATA SERVICE SYSTEM (SIPEDAS) IN BPS NORTH SULAWESI PROVINCE WEBSITE-BASED Pandoh, Kevin Mclaren; Rantung, Vivi Peggie
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2265

Abstract

The Central Bureau of Statistics (BPS) is important in providing high-quality statistical data to various parties. The demand for accurate and timely data is increasing in this digital era. This research aims to develop a Website-Based Statistical Data Service System (SIPEDAS) application using the Rapid Application Development (RAD) method to speed up design and ensure the system meets user needs. The RAD method consists of four stages in application development: requirements planning, system design, development process, and implementation. Data collection was conducted through interviews with mentors and sourcing data from the BPS WebAPI. Following these stages can produce an application that meets user expectations. After testing, it can be concluded that this application makes it easier for users to search for information, news, infographics, and publications needed without having to visit the North Sulawesi BPS Office directly.
Rancang Bangun Aplikasi Penyewaan Kost Dengan Sistem Rekomendasi Menggunakan Content Based Filtering Pandoh, Kevin Mclaren; Santa, Kristofel; Kenap, Audy Aldrin
Jurnal Sains Informatika Terapan Vol. 4 No. 3 (2025): Jurnal Sains Informatika Terapan (Oktober, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

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Abstract

Hunian sementara seperti kost merupakan kebutuhan penting bagi mahasiswa dan pekerja yang tinggal jauh dari rumah. Proses pencarian kost yang umumnya masih dilakukan secara manual menyebabkan pencari kost membutuhkan waktu dan usaha lebih dalam menemukan hunian yang sesuai dengan preferensinya. Penelitian ini bertujuan untuk membangun aplikasi penyewaan kost berbasis web dengan sistem rekomendasi menggunakan metode Content-Based Filtering (CBF). Metode ini digunakan untuk memberikan rekomendasi kost berdasarkan atribut seperti lokasi, harga, fasilitas, dan jenis kost. Pengembangan sistem dilakukan menggunakan metode Prototype melalui tahapan communication, quick plan, modeling quick design, contruction of prototype, dan deployment, delivery & feedback. Hasil pengujian menggunakan Black-box Testing menunjukkan bahwa seluruh fungsi sistem berjalan sesuai dengan kebutuhan pengguna. Implementasi sistem rekomendasi berbasis CBF terbukti mampu memberikan rekomendasi kost yang relevan berdasarkan preferensi pengguna dan meningkatkan efisiensi proses pencarian kost.
Co-Authors Audy Aldrin Kenap Kristofel Santa Vivi Peggie Rantung