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All Journal Agroindustrial Technology Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Teknik Industri SIGMA TEKNIKA BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Jurnal Puan Indonesia Journal Of Human And Education (JAHE) JURNAL TEKNIK INDUSTRI Journal of Industrial System Engineering and Management Jurnal Pengabdian Ibnu Sina JT-IBSI (Jurnal Teknik Ibnu Sina) Integrasi : Jurnal Ilmiah Teknik Industri Journal Serambi Engineering (JSE) JURNAL LIGA ILMU SERANTAU Jurnal ANDARA (Pengabdian Kepada Masyarakat) Cognitia : International Engineering Journal
Khoerun Nisa Safitri
Universitas Ibnu Sina
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Journal : cognitia international engineering journal

 1 
Discrete Simulation Model Development for Enhancing the Efficiency of Seaweed Production Processes at PT. IHFIM Fole, Asrul; Safitri, Khoerun Nisa; Riska Iva Riana; Nurul Aini
Cognitia : International Engineering Journal Vol. 1 No. 2 (2025): Cognitia : International Engineering Journal
Publisher : Candela Edutech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63288/ciej.v1i2.6

Abstract

This study focuses on improving the efficiency of seaweed production at PT. IHFIM through the development of a discrete event simulation model. The production system includes several main stages such as Pre-Treatment, Initial Rinse, Quality Check, Thermal Drying, Disinfection, and Final Blending. Field observation and actual production data were used to build the simulation model using ProModel software. Model verification was done through running simulations, and validation was conducted statistically using a t-test, confirming that the simulation outputs were consistent with actual conditions. The analysis identified two bottlenecks in the system: Pre-Treatment with 12.88% blocked time and Initial Rinse with 11.60% blocked time. To address these issues, two improvement scenarios were tested. Scenario 1 added an extra tank to the Pre-Treatment stage, which successfully reduced the blockage to 0%. Scenario 2 introduced additional buffer capacity at the Initial Rinse and Quality Check stages, resulting in a 4% reduction in blockage. The results show that increasing capacity at key points can improve material flow and reduce delays. This study concludes that discrete simulation is an effective method for identifying bottlenecks and evaluating operational improvements in agro-industrial production systems
Hybrid AHP TOPSIS Approach for Evaluating Green Supply Chain Management Barriers in the Poultry Processing Industry Fole, Asrul; Safitri, Khoerun Nisa; 'Aini, Nurul; Erniyani; Syufrian, Bili
Cognitia : International Engineering Journal Vol. 2 No. 1 (2026): Cognitia : International Engineering Journal
Publisher : Candela Edutech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63288/ciej.v2i1.17

Abstract

The implementation of Green Supply Chain Management (GSCM) has become increasingly important in the agro-industrial sector, particularly in the poultry processing industry, due to rising environmental concerns and growing demand for sustainable production practices. However, its adoption remains limited because of various operational, technological, and managerial barriers. This study aims to identify and evaluate the major barriers to GSCM implementation and determine the most appropriate strategic solutions using a hybrid multi-criteria decision-making approach. The methods applied combine the Analytical Hierarchy Process (AHP) to assess the priority weights of barriers and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to rank alternative strategies. Data were collected through literature review, expert validation, and questionnaires distributed to 37 respondents involved in poultry supply chain activities, with all instruments proven valid and reliable. The findings reveal five primary barriers, namely limited environmentally friendly technology, low management commitment, limited investment capacity, inadequate human resource training, and unclear regulatory support and incentives. The TOPSIS analysis indicates that training and awareness enhancement is the most effective strategy, achieving the highest closeness coefficient value of 0.812. The study concludes that strengthening internal organizational capabilities, particularly through training and awareness, along with improving external support mechanisms, is essential to facilitate effective and sustainable GSCM implementation in the agro-industrial sector.
Co-Authors 'Aini, Nurul Aini Nurul Alisyahbana, Takdir Asrul Fole Chinta Yolanda Sari Erniyani, Erniyani Ery Sugito Haekal Bayani , Ahda Ice Irawati Januar Kulsaputro Kusrini, Elisa Luqman Saiful Fikri, Muhammad Masayu Rosyidah Mega Fatimah Rosana Mujaddid Negara, Palmadi Putri Surya Nidya Wisudawati Nugraha, Widi Nugraha Nur Ihwan Safutra Nurul Aini Nurul Aini PARISMA, WAN INTAN Putri, Meylia Vivi Putri, Meylia Vivi Putri Qilbi, Fath Ainun Rahmatullah, Anurrafiq Riana, Riska Iva Riko Herdian Rizki Febriani Siswahyudianto Syahputra , Anggi Pramana Syaputra, Buang Syufrian, Bili Tilidia Devaga, Army Tuwandi Juniarto Wahyudi, Sendy Widi Astutik Yamin Almuhajirin Yan Herdianzah