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All Journal Jurnal Informatika Jurnal Teknik Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Infra Jurnal Optimasi Sistem Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri International Journal of Industrial Research and Applied Engineering Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian Masyarakat Bangsa
Andreas Handojo
Petra Christian University
Agriculture, Biological Sciences & Forestry Arts 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 Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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Goal Programming and Monte Carlo Simulation for Optimizing Inbound Scheduling in Resource-Constrained Warehouses Savio Enoson; Andreas Handojo; Tanti Octavia; Demetrio F. Edryan
Jurnal Optimasi Sistem Industri Vol. 24 No. 2 (2025): Published in December 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (430.344 KB) | DOI: 10.25077/josi.v24.n2.p324-344.2025

Abstract

Resource efficiency lies at the heart of logistics performance, with unloading operations in storage facilities serving as a critical determinant of overall productivity. In less developed regions, the widespread reliance on basic rules-based systems such as FIFO often proves inadequate for handling operational complexities, leading to bottlenecks and inefficiencies. Small and medium-sized enterprises (SMEs), constrained by limited resources, are compelled to optimize existing infrastructure rather than invest in costly upgrades. To address this challenge, the present study introduces a goal-oriented programming model designed to assign trucks to loading docks within specific time slots, thereby enhancing time efficiency. The model evaluates performance across four key metrics: waiting time, loading time, overtime, and equity. By leveraging goal programming, numerical prioritization of these objectives becomes possible, enabling flexible adjustments to meet operational needs. Furthermore, Monte Carlo simulation (MCS) is employed to incorporate variability into the dataset and assess model robustness under real-world uncertainty. Experimental results reveal that the proposed approach consistently outperforms traditional systems, delivering significant improvements in time efficiency. These findings highlight the potential of goal programming as a practical solution for planning in resource-constrained environments. The resulting model offers an adaptive, reliable framework that warehouse managers can implement without incurring substantial infrastructure costs.
Integrating Real-Time IoT Based Monitoring and Dashboard Design for Closed-House Hen Farming Handojo, Andreas; Setijarso, Edyq; Halim, Siana; Octavia, Tanti
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 27 No. 2 (2025): December 2025
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.27.2.237-248

Abstract

This paper presents a comprehensive solution that integrates IoT-based hardware systems with a real-time dashboard specifically designed for closed-house poultry farming, focusing on laying hens. Since laying hens are homeothermic animals, they are sensitive to temperature and humidity. Therefore, it is essential to monitor and control these environmental factors, along with ventilation, in real time. We describe a smart monitoring system that combines sensors, microcontrollers, and Android-based dashboards to provide actionable insights into poultry health and egg production performance. This system tracks various parameters, including temperature, humidity, equipment status, and key production indicators such as Hen Day Production (HDP), Hen House Production (HHP), and Feed Conversion Ratio (FCR). Evaluations conducted with local poultry farmers have shown improved awareness, usability, and the potential for increased operational efficiency. Despite some limitations, the dashboard provides a clear overview and helps inform decisions aimed at enhancing conditions and boosting egg production. This tool enables breeders to monitor and improve the performance of their laying hens and manage feeding strategies effectively. Additionally, it can assist in controlling and enhancing the closed-house environments and ventilation systems. The system's performance and usability were evaluated through User Acceptance Testing (UAT) and production Key Performance Indicators (KPIs), confirming its potential to enhance operational efficiency.
Indoor positioning system using BLE beacon to improve knowledge about museum visitors Andreas Handojo; Tanti Octavia; Resmana Lim; Jonathan Kurnia Anggita
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14886

Abstract

Generally, a museum has many locations and artifacts collection that display for visitors. Museum manager often have difficulty in obtaining information on visitors behavior such as, is there are particular locations/artifacts in the museum that are frequently/rarely visit by museum visitors, how long visitors spend their time in particular locations/artifacts, etc. The purpose of this study is try to build a suitable system in order to improve knowledge about the behavior of museum visitors by identifying the position of visitors in the museum. This study uses Bluetooth Low Energy (BLE) Beacon that place around the museum. The visitor mobile phone will detect BLE beacon signal, then the mobile phone application will calculated the visitor’s mobile phone position using the signal strength from the BLE beacons that are detected. The application then sends it to the computer server to display it in as museum visitor heat map. From this information, the museum manager could find out the visitors behavior movement and know which areas/artifacts that frequently/rarely visit by museum visitors. According to distance error testing which compare real location and position of the calculation, it is show that the average of distance error is around 140 cm. So, it can be concluded that the information obtained is sufficient enough to represent the position of museum visitors.
Co-Authors A.A. Ketut Agung Cahyawan W Abd. Rasyid Syamsuri Agus Santoso Agustinus Gandawidjaja Agustinus Noertjahyana Alexander Setiawan Alvin Assianto Leiman Anita Nathania Purbowo Anton Wahyudi Arif Priyata Setiawan, Arif Priyata Bernardo Taufiq Mangunwijaya, Bernardo Taufiq Buliali, Joko Lianto Caroline Indah Wijaya, Caroline Indah Christian Adiputra Demetrio F. Edryan Dennis Yuputra Permana Dian Christiani Linggadihardja, Dian Christiani Djoni H. Setiabudi Eddy Setyawan Edward Budiman Sutanto Endhy, Kezia Tiatira Fendhy Ongko Fenny Valentine Budiono, Fenny Valentine Fransisco Edo, Fransisco Frica Salim Wiharjo Fujianto - Go Ornella Aquaria Gregorius Satia Budhi Happy Setiawan Harry Timothy Tumalewa Henry Novianus Palit Ibnu Gunawan Irma Yunita Setiawati, Irma Yunita Iwan Setiawan Jaceline Wongsonegoro Jessica Florencia Joella Joella Johan Sutanto Jonathan Kurnia Anggita Jonathan, Christopher Julius Wonodihardjo Justinus Andjarwirawan Karla Usmana Kartika Gunadi Kevin Alfian Santoso, Kevin Alfian Kristo Radion Purba Leo Willyanto Santoso Lewi S. Kristianto Lily Puspa Dewi Michael Christian Wibisono Mohammad Isa Irawan Monika Irfanny Wongso, Monika Irfanny Osbert Tjitro Sampurna Oviliani Yenty Yuliana Rachma Yunita Resmana Lim Resmana Lim Robby Adrian Joesoef Robby Christian, Robby Robert Gosal, Robert Rolly Intan Rudy Adipranata Rufus Dian Oeinata Sandy Sunaryo Savio Enoson Setijarso, Edyq Siana Halim Silvia Rostianingsih Sontama Baktiano Ibe, Sontama Baktiano Sri Maharsi Stephanie Soesatyo Sugeng Hadi Wijaya, Sugeng Hadi Sugianto Sukanto Tedjokusumo Sulistya Ferryanto, Sulistya Tanti Octavia Utomo, Angelina Caroline Vianny Novita, Vianny Wahyu Christianto William Surya Wijaya Wiwie Yoanna Yan Ivan Handana Putra, Yan Ivan Handana Yoel Tanuwijaya, Yoel Yulia - Yulia Kendengis Yulia Yulia Yulia Yulia Yuliana Chandinegara Yulius Bastion, Yulius