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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 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 Journal of Information Systems and Technology (JISTech) TENANG : Teknologi, Edukasi, dan Pengabdian Multidisiplin Nusantara Gemilang International Journal of Artificial Intelligence and Science Jurnal Nasional Teknologi Informasi dan Aplikasinya
Pradityo Utomo
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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 Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Traffic lights time strategy for T-junctions of toll road gate Tristono, Tomi; Cahyono, Setiyo Daru; Aji, Seno; Utomo, Pradityo; Triono, Joko
IAES International Journal of Robotics and Automation (IJRA) Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v12i4.pp373-382

Abstract

Vehicles wishing to pass on the toll road must diverge from the traffic flow on public roads. The toll road movement consists of low vehicles (LV) and heavy vehicles (HV). The public road movement is a mixed traffic flow consisting of LV, HV, motorcycles, and unmotorized vehicles. Traffic lights are used at the T-junction of the toll road gate for travel safety management. The traffic lights that implement a fixed-time strategy should be optimized for efficiency. This study aims to review the safety of travel management at T-junctions for the toll road gate when adaptive traffic lights are used. The structural complexity of mathematical modeling with Petri net is used to analyze and measure the feasibility study. Results illustrate that the structural complexity of the traffic lights that implement a fixed time strategy equals 0.387. It is equal to 0.489 for the adaptive traffic lights. The structural complexity of adaptive traffic lights is 25% higher than conventional systems that implement a fixed-time strategy. The adaptive traffic lights time strategy is feasible for travel safety for road users. The travel time is efficient and comfortable because the delay is low. Furthermore, traffic lights can adjust to the demand of vehicles queuing.
Optimasi Metode Simple Additive Weighting Menggunakan Skala Likert dalam Aplikasi Pemilihan Peserta Rapat Bersih Dusun Utomo, Pradityo; Budiman, Arief; Amadi, Dwi Nor
Journal of Computer and Information Systems Ampera Vol. 4 No. 3 (2023): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v4i3.411

Abstract

Aplikasi pemilihan biasanya menggunakan prinsip sistem pendukung keputusan. Salah satu metode dari Sistem Pendukung Keputusan adalah metode Simple Additive Weighting (SAW). Tetapi, metode ini memiliki kekurangan yaitu sangat rentan dengan nilai inputan 0. Untuk itu, penelitian ini melakukan optimasi metode SAW dengan Skala Likert. Skala Likert digunakan untuk nilai masukan aplikasi. Perpaduan Skala Likert dan metode SAW dapat digunakan untuk membantu pemilihan peserta rapat Bersih Dusun. Rapat bersih dusun merupakan agenda tahunan yang dilakukan oleh warga dusun. Rapat bersih dusun biasanya membahas kegiatan dusun untuk melestarikan adat istiadat dan kebudayaan suatu dusun. Umumnya bersih dusun dihadiri oleh seluruh warga dusun. Karena keterbatasan biaya, rapat dusun dihadiri oleh perwakilan warga dusun. Untuk itu, Kepala Dusun harus memilih peserta rapat bersih dusun. Peserta rapat bersih dusun diharapkan dapat menjadi perwakilan pendapat warga dusun. Dengan adanya aplikasi pemilihan peserta Bersih Dusun diharapkan dapat menyelesaikan permasalahan dusun. Aplikasi juga telah diuji fungsionalitasnya dengan metode Blackbox. Berdasarkan hasil pengujian skenario, aplikasi dapat berjalan 100% sesuai target. Keberhasilan aplikasi tidak lepas dari optimasi metode SAW dengan Skala Likert.
PENGEMBANGAN APLIKASI DETEKSI DINI SERANGAN HAMA PADI BERBASIS ANDROID Budiman, Arief; Utomo, Pradityo; Rahayu, Sri
Jurnal Terapan Abdimas Vol 4, No 1 (2019)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (275.612 KB) | DOI: 10.25273/jta.v4i1.3805

Abstract

Abstract. The era of information technology makes all aspects of life move from conventional to computerised. In Indonesia, where the majority of the population make a living as farmers have applied information technology to solve several problems. One of the issues faced by farmers is a pest attack on rice plants. As a result of pest attacks, farmers' crops become less than optimal. In this study, developed an Android-based application can be used to detect early attacks of rice pests. Development of Android-based rice pest attack applications using the Build And Fix method. The Build and Fix method choose because it is considered suitable for developing applications that are not too large. As for testing applications using the Black Box method. By using the Build And Fix method, an early detection application for Android-based rice pest attacks has been successfully created. The system built has an application capability level of 100% after being tested using the Black Box method.Keywords : Rice, Farmer, Pest, Android-Based Application Abstrak. Era teknologi informasi membuat semua aspek kehidupan beralih dari konvensional ke komputerisasi. Di Indonesia yang mayoritas penduduknya bermata pencaharian sebagai petani telah menerapkan teknologi informasi dalam menyelesaikan beberapa permasalahan. Salah satu permasalahan yang dihadapi petani adalah serangan hama terhadap tanaman padi. Akibat serangan hama, hasil panen petani menjadi kurang maksimal. Pada penelitian ini dikembangkan sebuah aplikasi berbasis android yang dapat digunakan untuk mendeteksi dini serangan hama padi. Pengembangan aplikasi serangan hama padi berbasis android menggunakan metode Build And Fix. Metode Build and Fix dipilih karena dianggap cocok untuk pengembangan aplikasi yang tidak terlalu besar. Sedangkan untuk pengujian aplikasi menggunakan metode Black Box. Dengan menggunakan metode pengembangan sistem Build And Fix, telah berhasil dibuat aplikasi deteksi dini serangan hama padi berbasis android. Sistem yang dibangun memiliki tingkat kemampuan aplikasi sebesar 100% setelah diuji menggunakan metode Black Box.Kata Kunci: Padi, Petani, Hama, Aplikasi Berbasis Android
Pemanfaatan SIG Dalam Pemetaan Bidang Tanah Di Kantor ATR/BPN Kabupaten Kolaka Wahyuddin; Utomo, Pradityo; Dede Sopiandy
JISTech : Journal of Information Systems and Technology Vol. 2 No. 1 (2025): Juni 2025
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71234/jistech.v2i1.31

Abstract

This study discusses the utilization of Geographic Information Systems (GIS) for land parcel mapping at the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency (ATR/BPN) in Kolaka Regency. The implementation of GIS through the Land Activity Computerization Program (KKP) aims to enhance efficiency and accuracy in land registration processes while providing legal certainty over land ownership. By integrating spatial and textual data, GIS can deliver comprehensive information, enabling faster and more structured land mapping. Data obtained from the KKP at the Kolaka Land Office shows a significant increase in the number of registered land parcels after implementing GIS. Prior to GIS adoption, land registration data was limited and fragmented, with spatial data that lacked accuracy and accessibility. Post-implementation of KKP, the number of registered land parcels increased by 85% over the last 10 years, reflecting the system's improved effectiveness in supporting land administration. The results indicate that GIS can accelerate the mapping process, improve data accessibility, and facilitate spatial planning. With thematic maps generated, the ATR/BPN can conduct better analyses of land quality and legal status. Additionally, GIS helps identify areas requiring data updates, thereby continuously enhancing the quality and accuracy of land information. This study concludes that GIS is not only a mapping tool but also a strategic solution that increases efficiency and transparency in land management. These findings provide a potential model for other regions aiming to optimize land registration through GIS-based technology, supporting legal security and certainty for the public.
Model Group Decision Support System Based on Depression Anxiety Stress Scales Using Ordered Weighted Averaging Aggregation Method Wiharto, Wiharto; Putri, Della K.; Sihwi, Sari W.; Salamah, Umi; Suryani, Esti; Atina, Vihi; Utomo, Pradityo
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 2 (2025): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i2.678

Abstract

Depression, anxiety, and stress are common psychological conditions often triggered by the pressures of daily life. Depression Anxiety Stress Scale (DASS), is a widely used tool for assessing the severity of these disorders, available in different versions such as the DASS-21 and DASS-42. In line with these findings, DASS-21 consists of 21 symptom items, categorized into three types of disorders, with seven items assigned to each. In contrast, the DASS-42 includes 42 symptom items, with 14 items allocated per disorder. Both versions serve as standardized tools for assessing the severity of depression, anxiety, and stress, and the different versions show that one item only affects one disorder. In practice, it can affect several disorders with different priorities. This condition increases the risk of subjective bias in a psychologist's decision-making, as personal experiences and perceptions may influence their assessments. Therefore, this study aims to develop a Group Decision Support System (GDSS) model that considers the preferences of several psychologists in determining the priority of disorders based on the DASS-42 and DASS-21 items. The model has been built using the psychologist's preference method for DASS-42 and DASS-21 in fuzzy form, then combined using the Ordered Weighted Averaging (OWA) method to produce one decision. The alignment of top-priority items between GDSS and DASS was assessed as part of the evaluation. The results show a high degree of similarity, with GDSS matching 16 out of 21 symptom items in DASS-21 and 35 out of 42 items in DASS-42. The GDSS model can accommodate the preferences of decision-makers in providing weighting of the influence on each item in the DASS-21 and DASS-42, thereby providing more objective decisions.
Pelatihan Sitasi dan Referensi dengan Aplikasi Manajemen Referensi Sutoyo, Muh. Nurtanzis; Sapriyadi; Iin, Johar Nur; Murhaban, Murhaban; Utomo, Pradityo
TENANG : Teknologi, Edukasi, dan Pengabdian Multidisiplin Nusantara Gemilang Vol. 2 No. 1 (2025): Juni
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71234/tenang.v2i1.45

Abstract

This workshop seeks to improve participants' comprehension and proficiency in the appropriate management of citations and references. The exercises encompass an introduction to fundamental citation concepts, the significance of precision in bibliographies, and the practical implementation of tools such as Mendeley and Zotero. The training approach consists of theoretical instruction and practical application, culminating in assessment via a final assignment. The training outcomes demonstrate an enhancement in participants' comprehension of diverse citation forms, including APA, MLA, and IEEE, alongside their proficiency in importing, managing, and automatically compiling references. The majority of participants successfully employed the programs' functionalities to facilitate collaborative research efforts. The documentation of activities via Zoom Meetings indicates active engagement from the trainees during the sessions. The instruction effectively enhanced participants' efficiency in the academic writing process. This course aims to serve as a prototype for such programs in the future to improve the quality of academic papers.
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.
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 Andreas Rendiana Sulistyana Angga Prasetyo Arief Budiman Bimantara, Eka Bayu Bimantara, Eka Bayu Candra Budi Susila Chatarina Umbul Wahyuni Dede Sopiandy Eka Bayu Bimantara Eka Bayu Bimantara Ellisia Kumalasari Esti Suryani Ezra Gayu Fatah, Arjulian Fauzan Masykur Fiki Nur Rahman Gayu, Ezra Johar Nur Iin Joko Triono Muh Nurtanzis Sutoyo Murhaban Murhaban Nor Amadi, Dwi Nugroho, Satrio Wicaksono Putri, Della K. Rahman, Fiki Nur Sapriyadi Seno Aji Setiyo Daru Cahyono Shendy Aditayahya Wardana Sihwi, Sari W. SRI RAHAYU Sulistyana, Andreas Rendiana Tomi Tristono Umi Salamah Vihi Atina Wahyuddin Wardana, Shendy Aditayahya Wiharto Wiharto Yayi Suryo Prabandari Zulkarnain, Ismail Abdurrozaq