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Rancang Bangun Game 3D Edukasi Basic Web Development Menggunakan Unity 3D Rendy Irawan; Yunita Sari Siregar; Mufida Khairani
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 2 No. 3 (2024): Februari 2024
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v2i3.131

Abstract

The development of games is a media that is favored by the public which can have good or bad effects, where a game is basically made as for entertainment but there are also those who use games as educational media. This research was conducted to create a basic web development educational game packaged in the form of RPG (Role Playing Games) games with the result that providing basic web development education that can be played by all audience, where learning about web development is currently quite popular with some people. The game system design process is made using UML diagrams which will be applied to the unity 3D application and the assessment obtained through a questionnaire of 82% of respondents agreed that this game can be provide basic web development education. This game is also implemented using a finite state machine algorithm that controls enemy behavior in each state and collision detection for interaction with other objects. In this process create several interface designs and also for the finite state machine algorithm implemented to the enemy animator to control the state of enemy behavior, and the collision detection algorithm is applied to areas that have a collider to display the interface and also play background music.
Pendeteksian Anomali Pada Daun Tanaman Jambu Biji Menggunakan Isodata Cluster Nadila Harianti; Yunita Sari; Mufida Khairani
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 7 No. 2 (2025): Edisi Oktober
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this study is to develop a disease identification system for guava leaves using the ISODATA Clustering method. Diseases affecting guava plants may reduce plant quality and productivity; therefore, an automatic identification system is required. The ISODATA method was selected because it can automatically organize image data through cluster creation, merging, and splitting processes. The system was developed using Visual Studio and utilized guava leaf images as input data. The research stages included image acquisition, pixel extraction, clustering using ISODATA, and disease identification based on color pattern grouping. The results indicate that the ISODATA Clustering method is capable of grouping leaf color patterns and supporting the identification of guava leaf diseases. The developed system classifies leaves into several categories, including leaf blight, leaf spot, rust disease, and healthy leaves. This system is expected to assist farmers in early disease detection and decision-making for prevention and treatment.