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All Journal JOIV : International Journal on Informatics Visualization Kaizen : Management Systems and Industrial Engineering Journal MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Charity : Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Indonesia eProceedings of Engineering VISA: Journal of Vision and Ideas Journal of Production, Enterprise, and Industrial Applications
Erlangga Bayu Setyawan
Universitas Telkom
Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences

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Journal : JOIV : International Journal on Informatics Visualization

 1 
Development of Automatic Object Detection and IoT for Garbage Pickup Assignment Problem Bayu Setyawan, Erlangga; Novitasari, Nia; Zahira, Aulia Dihas
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.2740

Abstract

Waste management remains a challenge in certain cities, particularly in allocating fleets responsible for collecting garbage from temporary disposal sites. Inadequate planning can lead to the accumulation of substantial waste piles. This study aims to enhance truck assignment by considering truck capacity and the collection route. The assignment process incorporates the fundamental concept of the transportation problem, precisely the northwest corner method. The volume of waste transported aligns with the resident or industrial population within the designated service area. The waste generation capacity determines the future fleet and quantity, forming a crucial element of the ensuing distribution channel. A monitoring system integrating object detection and the Internet of Things (IoT) has been devised to ensure effective garbage collection. Cameras strategically positioned at temporary disposal sites transmit real-time images. The system evaluates garbage collection capacity through object detection facilitated by neural network training. The research outcomes demonstrate the system's capability to identify waste pile levels and validate the garbage pickup process by the designated fleet. Future research should focus on assignment and scheduling in waste transportation, enabling fleet allocation within specific timeframes. Additionally, an object detection algorithm refinement is necessary for more precise identification of waste pile locations.
Factors Influencing Readiness towards Halal Logistics among Food and Beverages Industry in the Era of E-Commerce in Indonesia Muttaqin, Prafajar Suksessanno; Setyawan, Erlangga Bayu; Novitasari, Nia
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.2055

Abstract

Based on Global Islamic Economy Indicator 2019/2020 report, Indonesia is in the fourth position globally as a country that uses a Sharia economic system. Seeing Indonesia's opportunities, it should be able to act as a regional and global halal hub. Efforts to encourage the halal industry through strengthening the halal value chain are one of the strategies to encourage Indonesia to become a global halal hub player. This study utilizes the structural equation modeling to examine relationships among key factors affecting readiness towards halal logistics in the food and beverages industry in Indonesia. 13 key factors are confirmed with measurement-model results, including (1) Cleanliness, (2) Safety, (3) Islamic Dietary Law, (4) Physical Segregation, (5) Material Handlings, (6) Storage and Transport, (7) Packaging and Labelling, (8) Ethical Practices, (9) Training and Personnel, (10) Resource Availability, (11) Innovative Capability, (12) Marketing Performance, (13) Financial Performance. The population in this study is in the food and beverage industries, especially in Semarang, Yogyakarta, Malang, and Surabaya. Cluster random sampling was used in this research with as many as 150 sample respondents. A survey with an online questionnaire was conducted in this research. The structural-model results reveal directions of relationships among key factors. Resource availability, training and personnel, and innovative capability are the most important factor in halal supply chain readiness. Further research can focus on other industrial sectors, such as fashion and tourism, as stated in the 2019-2024 Indonesian Sharia Economic Masterplan
Intelligent Warehouse Picking Improvement Model for e-Logistics Warehouse Using Single Picker Routing Problem and Wave Picking Diah Damayanti, Dida; Novitasari, Nia; Bayu Setyawan, Erlangga; Suksessanno Muttaqin, Prafajar
JOIV : International Journal on Informatics Visualization Vol 6, No 2 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.2.1006

Abstract

Abstract— The development and use of technological innovations have changed people's behavior from an industrial society to an information society. It can be seen in the increase in people's consumption patterns from trading through physical stores (offline) to trading through electronic systems, often referred to as e-commerce. Logistics services are distribution actors in the downstream line which are tasked with delivering products from the fulfillment center from e-commerce to the end customer. The uncertainty of the number of requests is the biggest challenge for logistics service players. The growth of e-commerce has also led to an increase in sales volume in e-commerce which has given rise to a new generation of warehouses that are specifically tailored to the special needs of online retailers who directly serve the demands of end-customers in the business-to-consumer (B2C) segment. Traditional warehousing systems cannot handle orders with the characteristics of many transactions but smaller sizes. In addition, warehouses that handle e-commerce are also required to have a fast process in the warehouse because shipments must be made on the same day. In this study, the author aims to perform calculations to find the optimal order picking time in the warehouse, so orders in e-commerce can be processed faster by comparing the picking process time using ordinary Single Picker Routing Problem (SPRP) and combined with the concept of wave picking using Genetic Algorithm (GA). Based on a theoretical study in this paper, the combination between SPRP and wave picking can reduce 42.28% picking time. 
Co-Authors Afiif, Rahmad Fajar Alfawwaz , Raihan Xavier Apriani, Ensa Ari Yanuar Ridwan Athiefa , Feren Sahda Athiefa, Feren Sahda Ayu Masturo, Ami Cantika Febriant, Dhea Diana, Nala Lalita Dwi Ayu Dida Diah Damayanti Fauziyah, Anisa Fitri, Melnia Kusuma Hakiki , Muhammad Daffa Hardian Kokoh Pambudi Iphov Kumala Sriwana Kurniawan W, Satrio Mufidah Aliyyah, Athayyah Muhammad Nashir Ardiansyah Nia Novitasari Nova Indah Saragih Novitasar, Nia Nur Alim Habibi Paripurna, Tirta Candra Prafajar Suksessanno Muttaqin Pujarani, Amanda Sekar Radhi, Muh Fayitz Raisa Bilqisti, Dinda Revolusi, Ikrar Baramulya Rizki, Hasbi Aditya Affa Sasabela, Tania Kirana Sekarjatiningrum, Satriana Rasmaydiwa Seto Sumargo Sriwana, Iphov Kumala . Suksessanno Muttaqin, Prafajar Suksessano Muttaq, Prafajar Sulistyowati, Fitri Wiradharma, Adam Yodi Nurdiansyah Yulianti, Femi Zahira, Aulia Dihas