Dandi Riski Saputra
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Merbabuku: Platform Web untuk Meningkatkan Efisiensi dan Edukasi Pendaki Gunung di Indonesia Dandi Riski Saputra; Tito Fernando Suprapto; Fahriza Wahyu Akbar; Al Ma'mur Nur Effendi
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 1 (2025): Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i1.1392

Abstract

Mountain climbing is gaining popularity, but high risks arise from inadequate preparation and information. Climbers often face limited access to crucial details like verified routes, real-time weather, essential equipment, and structured educational resources. To address this, Merbabuku, a web-based platform, was developed to help climbers plan their trips more efficiently, safely, and informatively. This research focused on designing and developing Merbabuku with features such as verified route information, official weather forecasts (BMKG), climbing tips, equipment checklists, and a community forum. Utilizing the Software Development Life Cycle (SDLC) waterfall model, encompassing analysis, design, implementation, testing, and evaluation, the platform was built using HTML, CSS, JavaScript, PHP, and MySQL. Functional tests confirmed all features worked as intended, and a user satisfaction survey of 50 respondents showed 92% found Merbabuku highly beneficial for planning and gaining insights into safety and ethics. Merbabuku aims to be a digital innovation that not only streamlines information access but also elevates awareness and education on climbing safety and environmental preservation.
Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Dengan Metode SAW ( Studi Kasus SDN Kedunglumbu) Andhika Dias F; Dandi Riski Saputra; Fajar Bagus Saputra; Naufaldi Rizqi Eka P; Rahmat Nur Shidi
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.232

Abstract

This study develops a Decision Support System (DSS) for selecting outstanding students at SDN Kedunglumbu using the Simple Additive Weighting (SAW) method. The main goal of this DSS is to help the school determine outstanding students more objectively and efficiently. The SAW method was chosen for its ability to provide weighted sums of relevant criteria, ensuring accurate and fair decisions. The system development follows a waterfall approach, with structured stages from planning to implementation. The evaluation criteria include PPKN, Indonesian Language, Science, Social Studies, and Mathematics, with seven students as the evaluated alternatives. The implementation of the DSS successfully displays information about outstanding students clearly, with Natasha Cahya Putri Ayu selected as the outstanding student with the highest preference score of 0.786. System testing using the blackbox testing method confirms that the system operates as expected, and calculations using the SAW method are consistent with manual calculations. Overall, the developed DSS successfully facilitates the selection process of outstanding students efficiently and objectively, while the SAW method proves effective in providing reliable results and supporting better decision-making in the educational environment.