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All Journal dCartesian: Jurnal Matematika dan Aplikasi Jurnal Teknoinfo Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Engineering, Computer Science and Information Technology (JECSIT) CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Artificial Intelligence and Technology Information Indonesian Journal of Intelligence Data Science (IJIDS) Jurnal Teknoinfo
Mahardika Inra Takaendengan
Universitas Sam Ratulangi
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science Mathematics

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Development of a Web-Based First-Person Game of the Legend of Toar and Lumimuut Using Three.js Delon Daniel Wolayan; Benny Pinontoan; Edwin Tenda; Stephano Caesar Wenston Ngangi; Mahardika Inra Takaendengan; Dodisutarma Lapihu
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 4 No. 2 (2026): Volume 4 Number 2 June 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v4i2.261

Abstract

The legend of Toar and Lumimuut is a foundational Minahasan narrative that is increasingly unfamiliar to younger digital audiences. This research develops Toar & Lumimuut: Legend of Minahasa, a browser-based first-person puzzle adventure game that adapts the legend into an interactive 3D experience using Three.js. The study applied an iterative Game Development Life Cycle consisting of initialization, pre-production, production, alpha testing, beta testing, and release. The game contains two narrative levels: the Coast of Mount Wulur Mahatus and Mount Lolombulan. Each level integrates puzzle mechanics with story progression, including sacred torch activation, stone pillar sequencing, prophecy fragment ordering, sacred seed planting, and eternal flame activation. Technical implementation includes procedural terrain generated with Perlin noise, animated GLB characters and props, an NPC dialogue and quest system, inventory management, bilingual English-Indonesian text support, and browser-based deployment without installation. Functional validation used black box testing with 68 test cases covering movement, interface controls, dialogue, puzzles, timers, game-over states, and level transitions. All test cases passed, producing a 100% functional success rate. User acceptance testing with 15 respondents aged 19 to 21 produced an overall score of 84.44%, categorized as very good. Compatibility testing on Google Chrome, Mozilla Firefox, and Microsoft Edge showed that the game remained playable across three laptops without dedicated GPUs. The results indicate that Three.js can support accessible cultural game development while preserving local folklore through meaningful interactive gameplay.
Applying Analytical Hierarchy Process in a Decision Support System for Study Program Recommendation Aldyth Najma Rova Marthin; Mahardika Inra Takaendengan; Marline Sofiana Paendong
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 4 No. 3 (2026): Volume 4 Number 3 July 2026 (ONLINE FIRST)
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v4i3.274

Abstract

Choosing a study program is a critical academic decision because it affects students' learning direction, skill development, and career readiness. This study designs, implements, and evaluates a web-based Decision Support System for study program recommendation using the Analytical Hierarchy Process. The model uses four criteria: interest and talent, technology-related hobby, academic score, and job prospects. The research used teacher criteria data before web implementation and student alternative data after the system was implemented. Teacher matrices were screened using the Consistency Ratio requirement, and the valid matrix produced criteria weights of 0.436 for interest and talent, 0.320 for job prospects, 0.192 for technology-related hobby, and 0.053 for academic score. The system was developed with Python and Flask, then evaluated using Black Box Testing and User Acceptance Testing. The main scenario produced Informatics Engineering as the first recommendation with a score of 0.4880 or 49 percent. Across 24 post-implementation student responses, Informatics Engineering was also the most frequent top recommendation, appearing in 10 responses, followed by Mathematics in 9 responses. However, only 16 of 96 student alternative matrices met the CR threshold, which indicates that automatic consistency validation is needed. Black Box Testing confirmed that all tested core functions worked as expected, and UAT produced an acceptance percentage of 81 percent. These results show that the proposed system can provide systematic and usable recommendation support, while consistency control remains the main technical improvement needed.
Co-Authors Adrian Philip Marthinus, Adrian Philip Aldyth Najma Rova Marthin Alnofri Rano Masiku Benny Pinontoan Chriestie E.J.C. Montolalu Christian Alderi Jeffta Soewoeh Delon Daniel Wolayan Dodisutarma Lapihu Eliasta Ketaren Freya Emily Theresia Tombokan Gifari I. S. Awam Gifriend Yedija Talumingan Juan Sebastian Sijron Lahope Jullia Titaley Khafidlin Triatama Lusyane Humune Marli Trivana Layan Marline Sofiana Paendong Muhammad Najib Dwi Satria Nelson Nainggolan Ngangi, Stephano Caesar Wenston Nur Fadli Utomo Parjito Parjito Ramadhan Paninggalih Sanriomi Sintaro Siska Ayu Widiana Stephano Caesar Wenston Ngangi Surahman, Ade Tenda, Edwin Winsy Christo Deilan Weku Wisard Kalengkongan Wisard Widsli Kalengkongan Zakki Pribadi