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All Journal Best : Journal of Applied Electrical, Science and Technology
surya Wijaya, WILDAN
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

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Development of A Machine Learning Based Chess Game in Python Hastuti, Dwi; surya Wijaya, WILDAN
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10343

Abstract

This paper presents the design and implementation of a Machine Learning (ML)-based chess game developed in Python. Unlike traditional chess game that rely primarily on alpha-beta pruning and handcrafted evaluation functions, this approach employs supervised learning techniques to create a neural network model capable of evaluating chess positions and making move decisions. The system leverages the python-chess library for game representation and the scikit-learn framework for implementing the machine learning components. We demonstrate that even with relatively simple feature engineering and a modest neural network architecture, the system can learn effective chess strategies. The implementation is designed to run in a Jupyter Notebook environment, providing an interactive interface for human players to compete against the ML agent while facilitating educational insights into both chess strategy and machine learning principles.
Filling Machine Panel Retrofit into Arduino Nano-Based Digital System at CV Sarana Engineering Surya Wijaya, Wildan; Ilham, Aditya; Abdul Jumali, Muhamad; Rochman, Sagita; Solikin, Akhmad; Nafisah, Nihayatun
BEST Vol 7 No 2 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/z17w7r20

Abstract

The control panel on the filling machine is an important component in the industrial automation system that functions to regulate the work sensors, actuators, and time-based control devices. This research begins with the emergence of ideas or needs to develop a system or solve a problem, which is then followed by problem identification and literature study to strengthen the theoretical basis. This study aims to redesign the filling machine control panel using a modular approach based on the Arduino Nano microcontroller. By replacing analog components with digital ones such as relay channels, LCDs, and modular PCBs, a cost efficiency analysis was carried out between the old and new systems. Testing was carried out by evaluating the response time, stability, and actuator coordination of the control panel, as well as conducting an economic analysis that included cost reduction and Return on Investment (ROI) calculations. These indicators were compared between the new and old panels to assess improvements in both technical performance and economic efficiency. The results showed that the new panel improved response speed, stability, and actuator coordination, while achieving cost savings of up to 80% compared to the conventional panel.The Return on Investment (ROI) analysis indicated an ROI of 405%, which demonstrates a significant economic advantage as the initial investment can be recovered multiple times over. This result highlights that the redesigned system is not only technically superior but also cost-effective and flexible, making it highly suitable for small to medium-scale industries. This system is also more modular, easy to program, and supports digital interface integration, making it a feasible and sustainable automation solution
Co-Authors Akhmad Solikin Dwi Hastuti Ilham, Aditya Jumali, Muhamad Abdul Nafisah, Nihayatun Sagita Rochman