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All Journal Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Kevin Asgaryansyah
Universitas Mataram
Computer Science & IT Electrical & Electronics Engineering Energy

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Save Our Sea : Rancangan Game 2D RPG Berbasis Android Menggunakan Godot Engine Giri Wahyu Wiriasto; Kevin Asgaryansyah
DIELEKTRIKA Vol 10 No 2 (2023): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v10i2.345

Abstract

This research is a development of a 2D role-playing game or RPG game using the Godot Engine. The game's rules have been designed to feature a character, a fish, which will be played by the player, embarking on a mission to combat an evil corporation that is polluting the ocean by disposing of marine waste. The gameplay includes platforming challenges, environmental puzzles, and battles. The technical aspects of the game have been explained, detailing the methods and techniques used in its development. This includes implementing player movement, physics, sprite animations, and interactions with various objects, including algorithms for waste collection and encounters with enemies. The main objectives of the game are to overcome platforming obstacles, solve environmental puzzles, and defeat NPC enemy characters. The game's progress is measured by collecting various types of waste as an indicator of environmental cleanup. The successful implementation of the game has allowed it to be played on a simulation scale.
Implementasi Algoritma Regresi Linier untuk Mengukur Tingkat Pengeluaran Co2 Pada Kendaraan Bermotor Kevin Asgaryansyah; Paniran Paniran
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 3 (2024): Juni : Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i3.132

Abstract

This study employs a linear regression algorithm to measure CO2 emissions from motor vehicles based on the type of fuel used—gasoline, premium, diesel, and ethanol—as well as the distance traveled per kilometer. With growing concerns about the environmental impact of vehicle emissions, this research aims to develop a predictive model to estimate CO2 emissions based on these variables. Despite the limited data used, the results indicate that the linear regression model has high accuracy in predicting CO2 emissions. This model can serve as an effective tool to mitigate the environmental impact of motor vehicles and assist policymakers in designing better emission mitigation strategies
Co-Authors Giri Wahyu Wiriasto Paniran Paniran