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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika Jurnal Masharif al-Syariah: Jurnal Ekonomi dan Perbankan Syariah Indonesian Journal of Artificial Intelligence and Data Mining JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Kumparan Fisika Jurnal Teknologi Dan Sistem Informasi Bisnis Jambura Journal of Electrical and Electronics Engineering Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Pengabdian kepada Masyarakat Nusantara Action Research Literate (ARL) Jurnal Profesi Insinyur Universitas Lampung Jurnal Sisfotek Global International Journal Science and Technology (IJST) Journal of Scientech Research and Development Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Journal of Community Service Jurnal Informatika
M. Asep Rizkiawan
Politeknik Takumi
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Other

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Pendekatan Profesionalisme dalam Proyek Keinsinyuran: Studi Kasus Smart Greenhouse Bertenaga Surya Rizkiawan, M. Asep; Aisyah, Tita; Ramza, Harry
Jurnal Profesi Insinyur Universitas Lampung Vol. 6 No. 2 (2025)
Publisher : Fakultas Teknik Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpi.v6n2.259

Abstract

This study explores engineering professionalism through the implementation of a smart greenhouse powered by a solar power system and PLC-based automation in an industrial area. By applying the principles of professionalism - such as integrity, technical competence, and social responsibility - this project demonstrates how engineers can design and operate energy-independent systems while maintaining work ethics and safety. The research method used a case study with the design of a 600 Wp solar power plant system, PLC programming, daily load measurements, and performance analysis. The results show that the PLTS system generates 2 kWh of energy per day, while the greenhouse load requirement is only around 1.5 kWh per day, indicating energy surplus and high efficiency. In addition, automatic control maintains temperature and humidity stability inside the greenhouse. The conclusion confirms that professionalism significantly contributes to the technical, operational, and safety success of the system and recommends the integration of professionalism in education and sustainable engineering practices.
Pose Analysis and Classification in Shooting Sport Using Convolutional Neural Network and Long Short-Term Memory Bahar Sobari; Moedjiono Moedjiono; M. Asep Rizkiawan
Jurnal Informatika Vol. 12 No. 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/

Abstract

Shooting sport requires high accuracy and speed, making training evaluation essential for athlete performance improvement. Conventional evaluation methods are often limited, thus the application of Artificial Intelligence (AI) and Computer Vision provides an effective alternative. This research aims to analyze and classify shooting sport poses using Deep Learning methods. A dataset consisting of several thousand pose images was collected from both field recordings and publicly available sources, followed by preprocessing for coordinate extraction. Convolutional Neural Network (CNN) was employed to extract coordinate data from shooting pose images, while Long Short-Term Memory (LSTM) was applied for pose classification. Experimental results demonstrated 94% accuracy, 95% Percentage of Correct Keypoints (PCK), and 4 mm Mean Per Joint Position Error (MPJPE), with training conducted at a learning rate of 0.0001 over 150 epochs on 5% test data, involving a total of 596,642 parameters. These results indicate that the proposed CNN–LSTM model provides a reliable approach for pose analysis and classification in shooting sport. The contribution of this study lies in presenting a novel dataset and framework for AI-based shooting sport evaluation, which can enhance training feedback and broaden AI applications in sports. 
DEVELOPMENT OF RESPONSIVE AND INTERACTIVE MOBILE-BASED REALISTIC MATHEMATICS LEARNING APPLICATION WITH EXTREME PROGRAMMING SYSTEM METHOD Prananda, Dimas Adi; Imanda, Rahmi; Anhari, Tirta; Sulaeman, Mia Kamayani; Rizkiawan, M. Asep
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5939

Abstract

This research has the main objective of producing a product of mathematics learning application design that supports the mathematics learning process to be more qualified. The application developed can help teachers to map the competencies and learning achievements of each student. In supporting the development of this application also combines realistic mathematics and quizzes that are designed to be interactive and responsive. In directing this research, the object-oriented extreme programming system development method was developed through the stages of planning, design, coding and testing. With this application, teachers are greatly helped in organizing students in a more qualified and interactive learning process. Based on the results of testing that has been done in the classroom, the response of teachers and students with this application gets a very positive response
Co-Authors Abdul Multi Agus Sofwan Sofwan, Agus Sofwan Aisyah, Tita Aji, Arielio Bayu Ajitomo, Dimas Suryo Alim, Endi Sjaiful Alim, Endy Sjaiful Anhari, Tirta Ardiansyah , Bintang Aulia, Muhammad Fathan Avista, Zeluyvenca Bahar Sobari Eko Kurniawan Eko Kurniawan Emilia Roza Endy Sjaiful Alim FADLY, SINGGI Firman Noor Hasan Gaol , Ford Lumban Hadi, Nofiar Harry Ramza Harry Ramza Hoirul Anam Kamayani, Mia Kurniawan, Eko Kurniawan Matsuo , Takuro Moedjiono Moedjiono Moedjiono Moedjiono Nuroji Nuroji Nuroji Nuroji Prananda, Dimas Adi Rahmi Imanda Ramza, Harry Rosalina Singgi Fadly Sobari, Bahar Sofwan, Agus subagyo, Ahmad Wijaya, Farid Rizky Yudha Witanto, Yudha Zeluyvenca Avista