Claim Missing Document
Check
Articles

Found 24 Documents
Search

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.
Tren Penelitian Dan Struktur Pengetahuan Explainable Artificial Intelligence Untuk Pemodelan Prediktif : Bibliometric Review Eka Rahayu; Boni Oktaviana; Mufida Khairani; Arie Rafika Dewi
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 8 No. 1 (2026): Edisi April
Publisher : Universitas Harapan Medan

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

Abstract

This study aims to analyze research trends and knowledge structures in explainable artificial intelligence (XAI) for predictive modeling through a bibliometric review approach. Data were obtained from Scopus metadata in BIB format exported on June 30, 2026. The initial search strategy yielded 343 documents, which were then filtered based on article document type, English language, and journal source, resulting in 177 articles analyzed for the period 2015-2026. The analysis was conducted using a bibliometric approach through mapping publication productivity, journals and primary authors, influential documents, country contributions, keyword co-occurrence, trend topics, thematic maps, and thematic evolution. The results show that XAI research for predictive modeling experienced a strong acceleration after 2023, indicating a shift in focus from predictive models that are solely accuracy-oriented to models that are transparent, explainable, and accountable. The intellectual structure of this field is interdisciplinary, with contributions from computer science, education, health, energy, environment, geospatial, industry, materials, and engineering. The dominant themes center on machine learning, data mining, forecasting, interpretability, SHAP, LIME, and deep learning, while emerging themes focus on counterfactual explanation, causality-aware forecasting, physics-informed learning, transformers, and graph neural networks. This study identifies five key gaps: method, data, application, theory, and evaluation. The primary contribution of this research is to provide a systematic mapping of the developments, intellectual actors, dominant themes, emerging themes, and future research agendas of XAI to build more accurate, transparent, auditable, and accountable predictive modeling
Tanda Tangan Digital: Solusi Modern untuk Keabsahan Dokumen Elektronik Rosyidah Siregar; Tommy; Mufida Khairani; Nenna Irsa Syahputri; Imran Lubis; Andi Marwan Elhanafi; Ihsan Lubis; Husni Lubis
Jurnal Pengabdian Masyarakat Berdampak Vol. 2 No. 1 (2026): Januari 2026
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jupemba.v2i1.122

Abstract

Perkembangan teknologi informasi mendorong peralihan penggunaan dokumen konvensional menuju dokumen elektronik yang menuntut jaminan keabsahan dan keamanan. Salah satu solusi yang dapat digunakan adalah tanda tangan digital, namun tingkat pemahaman dan keterampilan penggunaannya di lingkungan pendidikan menengah masih relatif terbatas. Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan pemahaman dan keterampilan guru, tenaga kependidikan, serta siswa di SMK Nurul Amalia Tanjung Morawa dalam memanfaatkan tanda tangan digital sebagai solusi keabsahan dokumen elektronik. Metode pelaksanaan kegiatan meliputi tahap persiapan, pelaksanaan sosialisasi dan pelatihan, serta evaluasi. Kegiatan dilaksanakan melalui pemaparan materi secara interaktif, diskusi, dan praktik langsung pembuatan serta validasi tanda tangan digital sederhana. Evaluasi dilakukan secara kualitatif melalui observasi dan diskusi, serta secara praktik dengan menilai kemampuan peserta dalam membuat dan memvalidasi tanda tangan digital pada dokumen elektronik. Hasil kegiatan menunjukkan adanya peningkatan pemahaman peserta terhadap konsep dan fungsi tanda tangan digital. Sebagian besar peserta mampu membuat tanda tangan digital sederhana dan melakukan proses validasi keabsahan dokumen elektronik sesuai panduan yang diberikan. Temuan ini menunjukkan bahwa pendekatan sosialisasi yang dipadukan dengan praktik langsung efektif dalam meningkatkan literasi digital peserta. Kegiatan ini diharapkan dapat menjadi langkah awal dalam mendukung pemanfaatan dokumen elektronik yang lebih aman dan terpercaya di lingkungan sekolah.