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All Journal IAES International Journal of Robotics and Automation (IJRA) Jurnal Terapan Abdimas JOIV : International Journal on Informatics Visualization BAREKENG: Jurnal Ilmu Matematika dan Terapan Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Information Systems and Informatics Jurnal Daya Mas : Media Komunikasi dan Informasi Hasil Pengabdian dan Pemberdayaan Masyarakat Pilar Teknologi : Jurnal Penelitian Ilmu-ilmu Teknik Journal of Computer and Information Systems Ampera Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Jurnal Pengabdian Kepada Masyarakat Journal of Information Systems and Technology (JISTech) TENANG : Teknologi, Edukasi, dan Pengabdian Multidisiplin Nusantara Gemilang International Journal of Artificial Intelligence and Science Journal Information System and Computer Application
Pradityo Utomo
Unknown Affiliation
Humanities Automotive Engineering 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 Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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DETERMINING TRAVEL DELAY OF VEHICLES QUEUE AT A TRAFFIC SIGNAL Cahyono, Setiyo Daru; Tristono, Tomi; Aji, Seno; Utomo, Pradityo
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 3 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (750.513 KB) | DOI: 10.30598/barekengvol14iss3pp321-332

Abstract

Mathematical modelling assumes that the vehicle’s volume has a uniform pattern. Due to traffic lights settings, the number of vehicles queue grows linearly. The reality, the stochastic arrivals of the vehicles could be (1) in the randomized arrivals, (2) in the form of groups/ platoon, or (3) in the mixed arrivals. It is observed that the arrival of the vehicles in the queue tends to have a normal pattern. The objective of this research is to study the implications of the arrival categories to the travel delay. For simulation, it uses the numerical method referring to the real state. The result indicates, determining travel delay become precise for all vehicles. It is due to the travel delay formula is represented as a discrete function. The arrival time, departure time, and stop time for each vehicle at the signalized intersection are recorded in the device
Yolo-Drone: Detection Paddy Crop Infected Using Object Detection Algorithm Yolo and Drone Image Masykur, Fauzan; Prasetyo, Angga; Zulkarnain, Ismail Abdurrozaq; Kumalasari, Ellisia; Utomo, Pradityo
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.3472

Abstract

Crop failure is an undesirable result of rice planting for every farmer because it disrupts the economic stability of the family. One of the factors of crop failure in the rice planting process is the disease attack factor, which causes infection. Infected plants will interfere with the growth of rice, not optimally, because the green leaf substance, which is key to processing sunlight's nutrients, is unable to function. After all, it is covered by infection. Infection in the leaves covers the green leaf substance, or chlorophyll, so that the leaves are unable to absorb nutrients from sunlight. This problem is a separate concern in overcoming rice plant infections, which will result in crop failure. This paper discusses the detection of infected rice plants, particularly leaf infections, using drone camera images. Unmanned aircraft, also known as drones, fly above rice fields to capture images of rice plants, which are then used as datasets in training models to detect infected and healthy rice plants. The detection of disease presence in rice leaves is carried out using the You Only Look Once version 8 (YOLOv8) object detection algorithm, with a model trained using Google Colab Pro+. The results of training the model to detect healthy and infected plant leaves are the primary objectives of this study. The YOLOv8 object detection model, when applied to detect rice plants with two classes (healthy and infected), shows quite good results. This is indicated by the recall, precision, and F1-score values (0.99, 0.814, 0.90) approaching 1 in all classes.
Web-Based Electric Bicycle Fault Diagnosis Using the Backward Chaining Method Nugroho, Satrio Wicaksono; Dwi Nor Amadi; Pradityo Utomo; Candra Budi Susila
International Journal of Artificial Intelligence and Science Vol. 2 No. 2 (2025): September
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/IJAIS.v2i2.35

Abstract

This study aims to develop a web-based expert system for diagnosing electric bicycle faults using the backward chaining method. It addresses the limitation of previous systems that did not support user input of fault hypotheses. The research stages include literature review, data collection (31 faults and 5 symptoms), implementation of web-based inference, and black box testing. The results demonstrate that the system successfully accommodates user-input hypotheses and related symptoms, then matches them with rules to generate diagnoses. Functional testing confirms all features operate as intended. The research novelty lies in: (1) the first comprehensive knowledge base for electric bicycles (31 faults), (2) an interactive web interface supporting hypothesis input, and (3) dynamic database storage for rule updates.
Rancang Bangun Sistem Pendukung Keputusan untuk Pemilihan Tema Tugas Akhir Mahasiswa Manajemen Informatika Universitas Merdeka Madiun Pinaring Gusti, Alexander Kenzy; Utomo, Pradityo; Sukadi
MEKAR : Journal Information System and Computer Application Vol. 1 No. 1 (2025): AGUSTUS
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/nx70d190

Abstract

Abstract: - Students in the Informatics Management Study Program at Universitas Merdeka Madiun must complete a Final Project (TA) as part of their graduation requirements. However, choosing a project topic that matches their interests and abilities can be difficult. To help solve this problem, a web-based Decision Support System (DSS) was developed using the Weighted Sum Model (WSM). This study focuses on designing and developing a system to assist students in selecting appropriate final project topics more efficiently and objectively. The WSM method is used to assess several theme options based on a set of established criteria. The system was built using the Waterfall development model, which involves analysis, design, implementation, testing, and maintenance stages. Black Box Testing was conducted to verify the system's functionality. The application supports two user roles: administrators and students. Administrators manage the system’s data, including criteria, theme options, evaluations, and user accounts. Students can view recommended project topics and update their profiles. Testing showed a 100% success rate, indicating the system’s reliability. By using this DSS, students can make more informed decisions about their final project themes, improving both the selection process and the overall quality of their research through the use of educational technology.
Selection of the Best Futsal Player at the Bhirawa Cup Event Using the Simple Multi Attribute Rating Technique Method Fatah, Arjulian; Utomo, Pradityo; Susila, Candra Budi
International Journal of Artificial Intelligence and Science Vol. 2 No. 2 (2025): September
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/IJAIS.v2i2.40

Abstract

The selection of the best futsal player is an important aspect of a tournament, as it can motivate athletes to continuously improve their performance. However, manual selection processes tend to be subjective and prone to bias, thus reducing the objectivity of the assessment results. This study aims to design and develop a web-based decision support system using the Simple Multi-Attribute Rating Technique (SMART) method to assist the organizing committee in objectively and standardizedly evaluating player performance at the Bhirawa Cup 2024 futsal event. The research method used is the Waterfall software engineering model, which consists of the stages of requirements analysis, system design, implementation, testing, and maintenance. The system evaluates player performance based on four main criteria: contribution to the team, number of fouls, attitude, and leadership, each of which is assigned a weight according to its level of importance. The result of this study is a web-based decision support system that can be used by the event committee to assess and determine the best player. The strength of this system lies in its ability to present structured data and minimize assessment subjectivity. A suggestion for future development is to make the system accessible online to increase its flexibility
Co-Authors Amadi, Dwi Nor Andreas Rendiana Sulistyana Angga Prasetyo Arief Budiman Atina, Vihi Bimantara, Eka Bayu Bimantara, Eka Bayu Candra Budi Susila Chatarina Umbul Wahyuni Dede Sopiandy Dwi Nor Amadi Eka Bayu Bimantara Eka Bayu Bimantara Ellisia Kumalasari Esti Suryani Ezra Gayu Fatah, Arjulian Fauzan Masykur Gayu, Ezra Johar Nur Iin Joko Triono Muh Nurtanzis Sutoyo Murhaban Murhaban Nugroho, Satrio Wicaksono Pinaring Gusti, Alexander Kenzy Putri, Della K. Rahman, Fiki Nur Rendrarini, Diana Sapriyadi Seno Aji Setiyo Daru Cahyono Sihwi, Sari W. SRI RAHAYU Sukadi Sulistyana, Andreas Rendiana Tomi Tristono Umi Salamah Wahyuddin Wardana, Shendy Aditayahya Wiharto Wiharto Yayi Suryo Prabandari Zulkarnain, Ismail Abdurrozaq