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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Ilmu Komputer dan Sistem Informasi Journal of Computer Science Artificial Intelligence and Communications Jurnal Pendidikan Agama Islam Jurnal Pendidikan Anak Usia Dini International Journal of Applied Science and Technology Application Journal of Information Technology and Systems Engineering
Muhammad Hasanuddin
Universitas Pembangunan Panca Budi
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Pelatihan TIK untuk Game Edukatif Bagi GEN-Z di LKP KARYA PRIMA KURSUS Hendry; Afif Badawi; Hanna Willa Dhany; Supina Batubara; Muhammad Hasanuddin; Siti Khodijah
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 4 No 2 (2025): Oktober 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v4i2.649

Abstract

Pelatihan Teknologi Informasi dan Komunikasi (TIK) menjadi salah satu strategi penting dalam meningkatkan keterampilan digital generasi muda, khususnya Gen-Z yang sangat dekat dengan teknologi. Penelitian ini bertujuan untuk mendeskripsikan pelaksanaan pelatihan TIK melalui pengembangan game edukatif di LKP Karya Prima Kursus sebagai sarana pembelajaran kreatif dan interaktif. Metode yang digunakan adalah pendekatan deskriptif dengan mengamati proses pelatihan, keterlibatan peserta, serta hasil akhir berupa produk game edukatif sederhana. Hasil penelitian menunjukkan bahwa pelatihan ini mampu meningkatkan kreativitas, kemampuan berpikir kritis, dan kolaborasi peserta dalam menyelesaikan tantangan berbasis teknologi. Selain itu, peserta merasa lebih termotivasi dalam mengintegrasikan pembelajaran dengan teknologi yang menyenangkan. Kesimpulannya, pelatihan TIK berbasis game edukatif efektif dalam memberikan pengalaman belajar yang relevan, adaptif, serta sesuai kebutuhan Gen-Z dalam menghadapi perkembangan era digital.
WATERFALL METHODE DALAM RANCANG BANGUN SISTEM INFORMASI POTENSI WISATA BERBASIS WEB Chairul Rizal; Supiyandi Supiyandi; Barany Fachri; Muhammad Hasanuddin
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 7 No. 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2320

Abstract

Abstract: This research aims to design and build a Tourism Potential Information System for Kota Pari Village, located in Pantai Cermin District, Serdang Bedagai Regency, using the Waterfall Method approach. The problem faced is the lack of accessibility of information on the tourism potential of Kota Pari Village online, which hinders the promotion and development of local tourism potential. The purpose of this research is to overcome these obstacles by designing and developing a web-based platform that can provide comprehensive information about the tourism potential of Kota Pari Village to the general public and potential tourists.  The research method used is the Waterfall Method, which consists of five main stages: needs analysis, system design, implementation, testing, and maintenance. The needs analysis stage involves identifying user needs, required features, and the structure of information to be presented in the system. Furthermore, system design was conducted to design an intuitive and systematic user interface, as well as a robust and scalable system architecture. The result of this research is a web-based Kota Pari Village Tourism Potential Information System, which allows users to access information about tourism objects, facilities, activities, and location maps of Kota Pari Village easily and quickly. It is expected that the implementation of this system will improve the promotion and tourism attractiveness of Kota Pari Village, as well as facilitate the growth of the tourism sector in the area. Keywords: Information System; Waterfall; Tourism potential; Kota Pari; Web; Abstrak: Penelitian ini bertujuan untuk merancang dan membangun sebuah Sistem Informasi Potensi Wisata Desa Kota Pari, yang berlokasi di Kecamatan Pantai Cermin, Kabupaten Serdang Bedagai, dengan pendekatan Waterfall Method. Masalah yang dihadapi adalah kurangnya aksesibilitas informasi potensi wisata Desa Kota Pari secara online, yang menghambat promosi dan pengembangan potensi wisata lokal. Tujuan penelitian ini adalah untuk mengatasi kendala tersebut dengan merancang dan mengembangkan sebuah platform berbasis web yang dapat memberikan informasi yang komprehensif tentang potensi wisata Desa Kota Pari kepada masyarakat umum dan calon wisatawan. Metode penelitian yang digunakan adalah Waterfall Method, yang terdiri dari lima tahap utama: analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Tahap analisis kebutuhan melibatkan identifikasi kebutuhan pengguna, fitur-fitur yang dibutuhkan, dan struktur informasi yang akan disajikan dalam sistem. Selanjutnya, perancangan sistem dilakukan untuk merancang antarmuka pengguna yang intuitif dan sistematis, serta arsitektur sistem yang kokoh dan scalable. Hasil penelitian ini adalah sebuah Sistem Informasi Potensi Wisata Desa Kota Pari yang berbasis web, yang memungkinkan pengguna untuk mengakses informasi tentang objek wisata, fasilitas, aktivitas, dan peta lokasi Desa Kota Pari secara mudah dan cepat. Diharapkan bahwa implementasi sistem ini akan meningkatkan promosi dan daya tarik wisata Desa Kota Pari, serta memfasilitasi pertumbuhan sektor pariwisata di wilayah tersebut. Kata kunci: Sistem Informasi; Waterfall; Potensi wisata; Kota Pari; Web; 
Integrated Multi-Domain Modeling Framework for Energy Efficiency and Range Prediction in Modern Electric Vehicle Systems Siti Khodijah; Cindy Atika Rizki; Muhammad Hasanuddin
International Journal of Applied Science and Technology Application Vol. 1 No. 1 (2026): March 2026
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/ijapset.v1i1.1

Abstract

The rapid advancement of electric vehicle (EV) technology has intensified the need for comprehensive theoretical frameworks capable of accurately evaluating energy efficiency and driving range under realistic operating conditions. This study presents an integrated multi-domain modelling approach that combines drivetrain physics, battery dynamics, drive-cycle analysis, control strategy optimization, and data-driven prediction to assess energy consumption in modern EV systems. A mechanistic model was developed to capture longitudinal vehicle dynamics, resistive forces, motor–inverter efficiency, battery behavior, and regenerative braking processes. The model was evaluated under standardized driving cycles, including the New European Driving Cycle (NEDC), Worldwide Harmonized Light Vehicles Test Procedure (WLTP), and Indian Driving Cycle (IDC), to investigate the impact of speed profiles and acceleration patterns on energy performance. The results demonstrate that energy consumption varies significantly across drive cycles, with aerodynamic drag and vehicle mass emerging as dominant influencing factors. Regenerative braking contributes meaningful energy recovery in urban conditions, though its effectiveness depends on control strategy and battery constraints. Comparative analysis between mechanistic modelling and machine learning approaches reveals that data-driven models improve predictive accuracy, while physics-based models provide interpretability and theoretical robustness. Furthermore, advanced control strategies such as Model Predictive Control (MPC) show superior performance in reducing energy consumption and range uncertainty compared to conventional PI-based controllers. Overall, the findings confirm that EV energy efficiency is an emergent property shaped by the interaction of design parameters, operational conditions, and intelligent control. The proposed integrated modelling framework provides a reliable foundation for next-generation EV design optimization, accurate range estimation, and sustainable mobility planning.
Urban Vegetation Cover Prediction Using Sentinel-2 NDVI and Random Forest: A Brief Narrative Review Muhammad Hasanuddin; Abil Alwi Prayoga; Supiyandi Supiyandi
International Journal of Applied Science and Technology Application Vol. 1 No. 1 (2026): March 2026
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/ijapset.v1i1.3

Abstract

A predictive model of urban vegetation cover is developed by integrating remote sensing technology, cloud computing, and machine learning algorithms. The study used the Normalized Difference Vegetation Index (NDVI), calculated from Sentinel-2 satellite imagery and analyzed in Google Earth Engine (GEE), to monitor vegetation conditions at a wide spatial scale. The research approach uses quantitative methods, including spatial analysis based on satellite imagery and predictive modeling with the Random Forest algorithm. The research process includes acquiring Sentinel-2 Level-2A images, pre-processing them with cloud masking and atmospheric correction, calculating NDVI values, and developing vegetation prediction models using machine learning methods. The results showed that the Random Forest model predicted vegetation cover with high accuracy, as indicated by a Coefficient of Determination (R²) of 0.85 and a Root Mean Square Error (RMSE) of 0.045. The resulting vegetation distribution map shows significant variations in vegetation density between natural vegetation areas, agricultural land, and built-up areas. The findings of this study show that integrating NDVI from Sentinel-2, Google Earth Engine, and the Random Forest algorithm is an effective approach for monitoring and predicting urban vegetation cover. The results of this study make a methodological contribution to the development of remote sensing-based geospatial analysis and provide a scientific basis for sustainable urban planning and green open space management in urban areas.
Co-Authors Abil Alwi Prayoga Afif Badawi Amin, Muhammad Andysah Putera Utama Siahaan Bayu Eka Susanto Chairul Rizal Cindy Atika Rizki Efriansyah Putra Bahari Barus Efriansyah Putra Bahari Barus Fachri, Barany Fadilah Ramadani Fakhri Rizaldi Hanna Willa Dhany Hendry Ricky Ramadhan Harahap Siti Khodijah Sujatmiko Ginting Supina Batubara Supiyandi Supiyandi Zulfan Zulfan