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INDONESIA
Jurnal Teknologi Industri Pertanian
Published by Institut Pertanian Bogor
ISSN : 02163160     EISSN : 22523901     DOI : 10.24961/j.tek.ind.pert
Core Subject : Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Engineering Industrial & Manufacturing Engineering
The development of science and technology in agriculture, has been instrumental in increasing the production of various agricultural commodities. But climate change is also uncertain world led to decreased agricultural productivity. World energy crisis resulted in higher prices of agricultural commodities due to competition between food and energy are higher. Efforts to utilize biomass (agricultural products) has started a lot of research, not only as raw material for bioenergy, but also in an attempt to exploit agro-products into valuable economic products, and realize clean production in agro-industry.
Arjuna Subject : -
Articles 635 Documents
 60   61   62   63   64 
PRODUCT DEMAND FORECASTING: A SOLUTION TO DETERMINE RAW MATERIAL NEEDS FOR COCONUT OIL AGROINDUSTRY DEVELOPMENT Siti Wardah; Wiwik Sudarwati
Jurnal Teknologi Industri Pertanian Vol. 35 No. 1 (2025): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2025.35.1.57

Abstract

Indonesia is the world’s largest coconut producer, with Indragiri Hilir being one of its major coconut-producing regencies. Despite the extensive coconut plantations in the region, the development of the coconut agroindustry remains underdeveloped. Coconut oil, a high-demand product in international markets, represents a significant opportunity for agroindustrial growth. Effective agroindustrial development requires accurate determination of raw material needs to plan production capacity and ensure efficient operation. Forecasting demand is a critical first step in this process, as it can enhance efficiency, reduce unnecessary raw material stockpiling, and minimise waste. This study aimed to forecast the demand for coconut oil, which is a crucial step for determining raw material requirements in the development of the coconut oil agroindustry. The research integrated ARIMA and mass balance methods. The findings indicated that coconut oil demand was projected to reach 556,749 tons per year from 2025 to 2030, with a corresponding raw material requirement of 4,259,130 tons per year. This study provides valuable insights for both farmer and agroindustry stakeholders in advancing the development of the coconut oil agroindustry. Keywords: agroindustry development, coconut oil, demand forecasting, raw material
LIFE CYCLE ASSESSMENT OF WET NOODLES PRODUCTS AT MIE CEPET IBU RUBIYEM MICRO SMALL MEDIUM ENTERPRISE (MSME) BANDAR LAMPUNG CITY Aditya Wahyu Nugraha; Fia Fitriawan; Untung Trimo Laksono
Jurnal Teknologi Industri Pertanian Vol. 35 No. 1 (2025): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2025.35.1.67

Abstract

Wet noodles are a type of noodle that undergoes a boiling process before being marketed. Activities in the wet noodle production process can produce waste and emissions that have the potential to cause environmental impacts. The resulting environmental impacts include greenhouse gas (GHG), acidification, and eutrophication. The amount of environmental impact produced can be determined through the life cycle assessment (LCA) method. This research aimed to measure the potential impact of GHG emissions, acidification, and eutrophication, and provide recommendations for alternative improvements to reduce the resulting emissions. The scope used was gate-to-gate and the functional unit was1 kg of wet noodles. The environmental impact analysis that has been carried out showed that the amount of GHG, acidification, and eutrophication were 4.72x10-1 kgCO2eq, 1.82 x 10-5 kgSO2eq, and 5.97 x 10-3 kgPO43-eq, respectively. Recommendations for alternative improvements that can be made are (1) Substitution for the use of renewable energy, namely off-grid solar power plants (SPE), which can reduce GHG emissions by 0.19%, acidification by 63.1%, and eutrophication 79.5%. (2) The use of electric vehicles (EV) as the main energy source from off-grid solar power plants can reduce GHG emissions by 0.02% and acidification by 3.64%. (3) Converting wastewater into liquid organic fertilizer (LF) can reduce GHG emissions by 78.4% and eutrophication by 1.12%, and (4) Selling solid waste (SSW) to livestock feed can reduce GHG emissions by 19.2% in all processes. Keywords: acidification, eutrophication, Greenhouse gases (GHG), Life Cycle Assessment (LCA), wet noodles
PERFORMANCE MEASUREMENT AND RISK MITIGATION OF PINEAPPLE SUPPLY CHAIN IN CENTRAL KALIMANTAN PROVINCE Odi Andanu; Erni Dwi Puji Setyowati; Rakha Satya Idsan
Jurnal Teknologi Industri Pertanian Vol. 35 No. 1 (2025): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2025.35.1.76

Abstract

Pineapple farmers and agro-processing businesses in Kapuas and Pulang Pisau face several risk. One significant risk is the lack of clarity regarding existing supply chain structures and performance, resulting in operational inefficiencies. This study aimed to identify and measure the performance of the pineapple agroindustry supply chain, analyze potential risks within the supply chain, and evaluate risk mitigation actions in the pineapple agroindustry located in Kapuas Regency and Pulang Pisau Regency, Central Kalimantan. The method used to analyze supply chain performance was the SCOR-AHP (Supply Chain Operations Reference-Analytic Hierarchy Process) method, while risk analysis was conducted using the HOR (House of Risk) method. The results showed that the highest supply chain performance score was attributed to the distributor, with a total score of 72.89, categorized as "good." Conversely, the lowest performance was seen among farmers, with a score of 42.55, classified as "marginal." The highest risk for farmers was the low selling price of pineapples, for collectors was price fluctuations, and for pineapple SMEs was inaccurate production planning and scheduling. The prioritized risk mitigation actions for farmers included optimizing the implementation of proper SOPs (Standard Operating Procedure) for pineapple cultivation and post-harvest processes, for collectors was the establishment of standards and agreements with farmers regarding pineapple quality, while the industry focuses on planning, optimizing, monitoring, and periodically evaluating the production process. Additionally, distributors should enhance the marketing reach of the products. Keywords: HOR, performance of supply chain, pineapple, risks, SCOR-AHP
POTENTIAL OF GOROHO BANANA FLOUR AND TANDUK BANANA FLOUR FROM NORTH MALUKU AS ALTERNATIVE FOOD INGREDIENTS Erna Rusliana Muhamad Saleh; Syamsul Bahri; Abu Rahmat Ibrahim
Jurnal Teknologi Industri Pertanian Vol. 35 No. 1 (2025): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2025.35.1.86

Abstract

Goroho bananas and tanduk bananas are local bananas found in all districts/cities in North Maluku. These two types of bananas are usually consumed in North Maluku in the form of traditional foods. In order to be processed into other derivative products and to have a longer shelf life, the product innovation that can be done is to process them into banana flour. Banana flour can also be an alternative source of carbohydrates and has the potential to replace wheat flour which is still imported. So that banana flour is expected to be an alternative food ingredient. The purpose of this study was to determine the physicochemical characteristics of goroho banana flour and tanduk banana flour. In addition, this study aims to determine the potential of goroho banana flour and tanduk banana flour as alternative food ingredients. The research design used was a non-factorial Completely Randomized Design, with the treatment factor being the type of banana (goroho banana and tanduk banana). The results of the study showed that the physicochemical characteristics of goroho banana flour were 30% yield, color L 84.48, a* 1.18, b* 17.78, carbohydrate 82.91%, protein content 3.51%, total fat content 1.41%, water content 9.69%, ash content 2.50%, total energy 358.31 Kcal/100g, energy from fat 12.65 Kcal/100g and pH 5.43. The physicochemical characteristics of tanduk banana flour are yield 31%, color L 82.36, a* 2.85, b* 18.36, carbohydrate 83.69%, protein content 2.65%, total fat content 1.54%, water content 10.19%, ash content 1.94%, total energy 359.2 Kcal/100g, energy from fat 13.86 Kcal/100g and pH 6.38. The physicochemical characteristics of goroho and tanduk banana flour from North Maluku give both the potential as alternative food ingredients. Keywords: alternative food ingredients, Goroho banana flour, tanduk banana flour, North Maluku
FURNITURE INDUSTRY GREEN SUPPLY CHAIN SUCCESS FACTORS: A SYSTEMATIC LITERATURE REVIEW Peni Shoffiyati; Fesa Putra Kristianto
Jurnal Teknologi Industri Pertanian Vol. 35 No. 1 (2025): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2025.35.1.95

Abstract

In recent years, Green Supply Chain Management (GSCM) has gained significant attention due to the challenges posed by climate change, primarily driven by human activities and harmful emissions. The furniture industry presents considerable potential for GSCM adoption but faces challenges, including high costs, low environmental awareness, and limited government support. This study aimed to identify critical success factors (CSFs) for GSCM implementation in the furniture industry. Using a Systematic Literature Review (SLR) methodology, articles from Scopus and Google Scholar were examined to identify key CSFs. Six CSFs were found management commitment, investment in technology and collaboration, stakeholder involvement, environmental sustainability strategy, environmental regulations and incentives, and performance assessment and monitoring. The study highlighted the importance of a comprehensive approach, outlining essential steps for GSCM implementation, such as strategy development, green practice adoption, and ongoing monitoring and evaluation. Additionally, it emphasized integrating green purchasing, internal environmental management, and forming collaborative partnerships with stakeholders. Regular evaluations were critical to track progress, align with sustainability objectives, and identify areas for improvement. The study contributes to the GSCM literature by offering practical insights and recommendations for furniture companies, including conducting a SWOT analysis, setting clear sustainability goals, collaborating with eco-friendly suppliers, and securing top management support. These findings provide valuable guidance for the furniture industry to achieve sustainability, improve efficiency, and enhance competitiveness in the global market. Keywords: critical success factors, furniture industry, Green Supply Chain Management (GSCM), Systematic Literature Review (SLR)
RISK MANAGEMENT MODEL FOR RAW MATERIAL PROCUREMENT AND PRODUCTION PLANNING IN THE COFFEE AGROINDUSTRY: A CASE STUDY IN KALIBARU, BANYUWANGI Khotijah; Taufik Djatna; Marimin
Jurnal Teknologi Industri Pertanian Vol. 35 No. 2 (2025): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2025.35.2.107

Abstract

The coffee agroindustry encounters significant risks due to its intricate business processes and the involvement of multiple stakeholders. These risks, particularly in raw material procurement and production planning, threaten business sustainability and include inconsistent raw material quality and quantity, fluctuating prices, limited resources, and inefficiencies in decision-making. This study analysed business processes, identifies risks, and develops a risk mitigation model for the coffee agroindustry in Kalibaru, Banyuwangi. Business process analysis employed descriptive methods focusing on supply chain mechanisms and drivers, complemented by supply chain management metrics. Risk management utilized the House of Risk (HOR) Phase 1 and 2 framework. Results revealed a refined business process model emphasizing efficiency and integration, alongside 20 risk events and 20 risk sources in both procurement, and production planning. Eleven priority risk sources were identified for procurement, and ten for production, forming the basis for targeted mitigation strategies. Key mitigation actions include training farmers in Good Agricultural Practices (GAP), partnering with research institutions for procurement and implementing preventive maintenance of processing equipment for production. These strategies enhance resource management and industry competitiveness. Keywords: business process, coffee agroindustry, risk mitigation, procurement planning, production planning 
DESIGN SUPPLY CHAIN RISK MANAGEMENT USING HOUSE OF RISK (HOR) METHOD AT IBUNMANIS COKLAT MSMES Dheanty Galuh Saputri; Iphov Kumala Sriwana; Nia Novitasari
Jurnal Teknologi Industri Pertanian Vol. 35 No. 2 (2025): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2025.35.2.157

Abstract

UMKM Ibunmanis Coklat adalah sebuah bisnis dalam industri makanan yang memproduksi cokelat batang dan cokelat isi, termasuk dalam kategori Usaha Kecil Menengah (UKM). Selama satu tahun, UMKM ini mengalami total loss supply sebesar 33% dari target permintaan yang diharapkan. Terdapat 51 kejadian keterlambatan bahan baku utama dalam setahun, sementara bahan baku penunjang mengalami sembilan kali keterlambatan, dan bahan kemasan sekali. Permasalahan dalam pasokan ini menyebabkan loss production sebanyak 10 kali dalam setahun. Tiga isu utama yang dihadapi adalah ketidakpastian pemesanan, keterlambatan bahan baku, dan cacat dalam proses produksi. Untuk memperbaiki kinerja rantai pasok, UMKM Ibunmanis Coklat melakukan analisis risiko rantai pasok menggunakan model SCOR 12.0 yang mengidentifikasi 24 risk event dan 29 risk agent. Berdasarkan analisis model HOR 1 dan pareto, 80% risk agent prioritas diidentifikasi dan membutuhkan mitigasi untuk mengurangi 20% penyebab risiko. Dengan model HOR 2, ditetapkan strategi mitigasi prioritas yang melibatkan integrasi perencanaan dan penjadwalan. Risiko tersebut dikelola dengan menggunakan indikator kinerja yang diukur dengan snorm de boer, serta visualisasi historis untuk memantau dampaknya. Keywords: house of risk, manajemen risiko, mitigasi risiko rantai pasok, SCOR
MULTI-OBJECTIVE OPTIMIZATION MODEL FOR BIOENERGY SUPPLY CHAIN DISTRIBUTION Krisnaningsih, Erni; Dwiyatno, Saleh; Cahyadi, Dadi; Rasjidin, Roesfiansjah
Jurnal Teknologi Industri Pertanian Vol. 35 No. 2 (2025): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2025.35.2.144

Abstract

Determining optimal distribution routes in managing efficient transportation distances is a challenge in the bioenergy supply chain. Adequate distribution arrangements can improve distribution in the bioenergy supply chain. Optimizing distribution arrangements can help reduce transportation costs, avoid delays, and improve distribution efficiency. The optimal distribution strategy must consider choosing routes that minimize distribution distances from agricultural centres to power plants. This study aimed to determine the location of collection points and optimal distribution routes in the distribution of the bioenergy supply chain. Centre of gravity (COG) method for locating collection centres. Determination of optimal distribution routes with a combination of ME-MCDM and spatial Dijkstra approaches. The results showed that the centre point at -60.53'42.6" S and 105.035'70.8" E is the biomass collection area for suitable bioenergy. Our proposed method of spatial combination of Dijkstra and multicriteria decision making (ME-MCDM) based on Expert considerations on a more logical bioenergy optimal distribution solution, taking into account sustainability, has TAV 1700,74 with P (V1, V5) = (V1, V2, V4, V5). Managerial Implications for Bioenergy-Producing Companies and Policy Stakeholders From operational efficiency to reducing carbon emissions, this model can help companies better manage their bioenergy distribution and contribute to business sustainability. Keywords: bioenergy distribution, Centre of Gravity (COG), model optimisation, ME-MCDM Spatial Dijkstra
ENHANCHING MENTORSHIP FOR SMALL FOOD BUSINESS: ROLE OF INTERACTION FREQUENCY ON ENTREPRENEURIAL EFFORT AND COMMITMENT Nurdin, Qamariyah; Syahbana Rusli, Meika; Yuliasih, Indah
Jurnal Teknologi Industri Pertanian Vol. 35 No. 2 (2025): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2025.35.2.136

Abstract

Small food businesses often face challenges due to limited resources and capacity, making it difficult to maintain consistent effort and achieve long-term goals. Effective mentorship has emerged as a crucial solution. Small food businesses often face challenges due to limited resources and capacity, making it difficult to maintain consistent effort and achieve long-term goals. Effective mentorship has emerged as a crucial solution. This research examined the direct impact of interaction frequency on entrepreneurial effort and its influence on task completion and venture goal commitment within the context of small food businesses. The study also considers the moderating roles of mentor attitude, entrepreneurial experience, and business profile. Data were collected from 111 small food industry owners in Indonesia using the Experience Sampling Methodology through longitudinal diary studies. The findings demonstrate that frequent mentor-mentee interactions significantly enhance entrepreneurial effort, leading to improved task completion. However, effort did not have a significant direct effect on venture goal commitment. This might be attributed to factors such as perceived steady progress and the entrepreneur's belief in achieving the goals. Moderation analysis reveals that entrepreneurial experience and business profile significantly moderate the relationship between interaction frequency and effort, while mentor attitude does not. These findings highlight the importance of maximising interaction frequency with mentors to improve business performance. Mentorship programs should be tailored to the entrepreneur's experience level and the business's profile. Instead of a one-size-fits-all approach, mentorship formats and materials should be adjusted based on the business's developmental stage. Keywords: mentor-mentee interaction frequency, entrepreneurial effort, small food businesses, mentorship  
CUSTOMER SEGMENTATION WITH K-MEANS ALGORITHM AND BUSINESS STRATEGY BUSINESS INTELLIGENCE IN VEGETABLE ONLINE RETAILING Fitriana, Rina; Sugiarto, Dedy; Nurachman, Nurochman
Jurnal Teknologi Industri Pertanian Vol. 35 No. 2 (2025): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2025.35.2.118

Abstract

Most MSMEs still have obstacles to growing and developing at the business level. Applying a business intelligence system is expected to assist in making appropriate and quick business decisions so that MSMEs can grow and develop. This research aimed to determine customer segmentation based on product clustering that consumers demand. In addition, this study aims to determine the benefits of business intelligence in providing business performance information to make decisions. This research uses the k-means algorithm for clustering. Business intelligence uses Power BI software for visualisation. Based on the results of analysing product clustering with the k-means algorithm, the optimal number of clusters is 2 (k = 2). Determination of the value of k = 2 uses an average centroid distance of 121,624,275,127, and validation of the minimum DBI value = 0.052. Based on the clustering results, cluster 0 (28%) and cluster 1 (72%) are two consumer segments. Insights on the sales dashboard are daily sales fluctuations, the dominance of certain products in demand, and products with low sales. Strategy initiatives for the long term are customer segmentation for more personalized promos, focus on subscriptions and repeat orders, optimising digital marketing, and the use of predictive analytics to forecast sales trends. On the dashboard of production, order, and stock, information, such as daily production tends to exceed orders, leading to overstock, while orders fluctuate inconsistently. The key challenges are unbalanced production and demand, overstock on certain products, unstable orders, and underproduced products. Keywords: business intelligence, data analytics, k-means algorithm, Micro Small Medium Enterprise

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