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Mirwan Ushada
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Departemen Teknologi Industri Pertanian Fakultas Teknologi Pertanian UGM Jl. Flora Bulaksumur No.1, Kocoran, Caturtunggal, Depok, Sleman Daerah Istimewa Yogyakarta 55281
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Agroindustrial Journal
Published by Universitas Gadjah Mada
ISSN : 22526137     EISSN : 23023848     DOI : https://doi.org/10.22146/aij.v8i1
Core Subject : Science, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Social Sciences
The journal publishes original research paper and review paper based on topics coverage but not limited to: 1. Industrial systems and management 2. Bio-industry 3. Production systems 4. Quality analysis and standardization 5. Systems analysis and industrial simulation 6. Product engineering and waste management Papers may report the results of laboratory experiments, theoretical analyses, design-development-innovations related to product/services/technology/system, processes or processing methods, machines/equipment, experimental, laboratory and analytical instrumentation.
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Makanan
Articles 5 Documents
 1 
Search results for , issue "Vol 12, No 1 (2025)" : 5 Documents clear
Secondary Packaging Performance Assessment Based on Mechanical Damage Resistance Using Drop Testing and Forensic Packaging Methods at CV. Mubarokfood Cipta Delicia Saputra, Rheznandya Gaffi Rangga; Naziha, Thalia
Agroindustrial Journal Vol 12, No 1 (2025)
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/aij.v12i1.100011

Abstract

Distribution is a process that could decrease the quality of food products biologically, chemically, and physically. Therefore, food packaging plays a crucial role in extending the shelf life and maintaining the quality and safety of food products. This research aims to gather evidence on packaging damage data that can be used to evaluate the effectiveness of product packaging, considering its durability and ability to protect products, and to understand the impact of packaging damage on product quality. Data collection was carried out by observing the packaging chosen as a research sample, specifically 9 Mubarok’s Jenang secondary slop packaging. Each package contains 4 Jenang inside, so there were 36 Mubarok’s Jenang in total. The author also conducted interviews to obtain relevant information about the topics in this section, including packaging, quality control, and the purchasing division. Drop testing and forensic packaging methods were performed manually by dropping the item from a fixed height onto a solid, hard, and flat surface, as specified in ISO 2248:1985. Based on the research result after testing from three variations of drop height (50 cm, 100 cm, 150 cm) with each height containing three sample packages, all of the packaging is in a “good” category, which is proven by the value of bruise susceptibility parameter is very low, packaging damage is in the light category, and the product’s primary packaging is still tightly sealed so that it can maintain the quality and shelf life of Jenang during the retention period. Then, consecutively, the average values and their deviations for the bruise susceptibility of the packaging at heights of 50 cm, 100 cm, and 150 cm are 0.0549 cm³/Joule, 0.0735 ± 0.0164 cm³/Joule, and 0.0699 ± 0.0214 cm³/Joule.
Characterization of Ready-to-Drink Decaffeinated Coffee Enriched with Lime and Lemon Kuswardhani, Nita; Hana, Dania Mazidatul; Wiyono, Andi Eko
Agroindustrial Journal Vol 12, No 1 (2025)
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/aij.v12i1.100954

Abstract

This study aims to determine the physical, chemical, and sensory characteristics of and the appropriate and optimal formulation for producing ready-to-drink (RTD) robusta decaffeinated coffee variations with the addition of lime (citrus aurantifolia) and lemon (citrus limon) juice. The ingredients used for coffee preparation include decaffeinated robusta coffee powder, lemon, lime, sugar, and water. The experimental design used in this study was a completely randomized design (CRD) with three factors and two levels: citrus type (A1: lemon; A2: lime), lemon or lime juice concentration (B1: 5%; B2: 10%), and liquid sugar volume (C1: 15 ml; C2: 25 ml). These factors were designed to create 8 treatments for physical, chemical, and sensory testing. Data analysis was performed statistically using Analysis of Variance (ANOVA) at 5% significance level and further testing with Duncan's Multiple Range Test (DMRT) when any differences were found. The results showed that the interaction of the three factors affected the physical and chemical characteristics of caffeine content, pH, and antioxidant activity. The addition of lime and lemon juice did not have a significant effect on the characteristics of vitamin C content and brightness. Treatment A1B1C2, with the composition of 5 ml lemon juice and 25 ml sugar water, provides the best formulation based on the review of physical, chemical, and sensory characteristics.
Analysis of MSMEs' Cassava Production Efficiency Using a Comparison of Machine Learning Models in Jember Regency Hadi, Danang Kumara; Sato, Yuta
Agroindustrial Journal Vol 12, No 1 (2025)
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/aij.v12i1.106018

Abstract

Cassava is one of Indonesia's agro-industrial commodities, but many Micro, Small, and Medium Enterprises (MSMEs) in the cassava processing industry face difficulties in achieving optimal production efficiency. This study aims to evaluate the efficiency of cassava processing production systems in MSMEs in Jember by comparing machine learning algorithms (Linear Regression, Random Forest, Support Vector Regression (SVR), and XGBoost) to predict output and key efficiency factors. The data used consists of 250 data points: 80% for model training and 20% for testing to build a machine learning-based prediction model, with input features production processing as the X-axis, and output in the form of production volume as the Y-axis. Data preprocessing, exploratory data analysis, and modeling were conducted using Python, with evaluation based on MAE, RMSE, and R² metrics. Among the tested models, Random Forest demonstrated the best performance with an R² value of 0.990. Sensitivity analysis revealed that production output increases significantly with the addition of labor and machines, with an optimal configuration of 15–20 workers and 2–3 machines per batch. The study concludes that focusing on overall production efficiency rather than merely increasing resources is the most effective strategy.
Coffee Supply Chain Performance Measurement In Ulu Belu District, Tanggamus Regency, Lampung Province Sylvia, Teny; Wiyono, Teguh; Putra, Endo Pebri Dani; Asrol, Muhammad; Sembiring, Noveliska Br; Yunira, Eka Nur'azmi; Subara, Deni; Devita, Wilda Harlia
Agroindustrial Journal Vol 12, No 1 (2025)
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/aij.v12i1.106071

Abstract

Ulu Belu District, as the largest producer of robusta coffee in Lampung Province, faces challenges throughout its coffee supply chain, from cultivation to marketing. This study aims to examine the structure of the coffee supply chain, evaluate its performance using the Supply Chain Operations Reference (SCOR) model combined with the Analytic Network Process (ANP), and recommend strategies for improvement. The identification results reveal that the coffee supply chain in Ulu Belu District involves several key actors, including farmers, commodity aggregators, collectors, business partners, ground coffee processors, domestic roasters, retailers, exporters, and consumers. This supply chain operates through the flow of products, information, and financial resources among these actors. The coffee supply chain performance measurement results in Ulu Belu District indicate a very poor overall performance score of 58.855. Performance at the three supply chain tiers also reflects concerning conditions: farmers scored 59.721, indicating a very poor performance; collectors scored 62.888, reflecting a poor condition; and business partnerships scored the lowest at 53.957, also categorized as very poor. The strategies for improving supply chain performance include providing training and outreach on Good Agricultural Practices (GAP), implementation of GAP and Good Handling Practices (GHP), implementation of the Common Code for the Coffee Community (4C) certification, increasing storage warehouse capacity, implementing Collaborative Planning, Forecasting, and Replenishment (CPFR) in supply chain management in Ulu Belu, determining safety stock, and planning delivery schedules.
Development and Priority Selection of Marketing Strategies for Pangas Catfish Skin Chips at Gatiga Snack MSMEs Novriyanti, Eka; Sylvia, Teny; Sembiring, Noveliska Br
Agroindustrial Journal Vol 12, No 1 (2025)
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/aij.v12i1.106078

Abstract

Gatiga Snack MSMEs, a chip producer in South Lampung, faces tough competition and requires effective marketing strategies to grow. This study aims to develop and select strategies that can be implemented by Gatiga Snack using SWOT analysis and QSPM. Based on the SWOT analysis results, 18 recommended strategies were obtained. These strategies are then prioritized using QSPM analysis. There are three recommended strategy implementation periods. In the first period, six strategies were recommended that could be implemented. The highest TAS score among the strategies in the first period was forming a special marketing team for managing the Gatiga Snack MSME business (WO4), amounting to 7.296. In the second period, six strategies were also recommended that could be implemented. An intensive promotional strategy by creating a schedule of online and offline routine promotional activities (WO2) resulted in the highest TAS score of 7.141 in the second period. The third-period strategy consisted of six strategies with the highest TAS score of 7.031, namely building a brand image by making reviews or testimonials about the quality of Pangas Catfish Skin Chips’s Gatiga Snack so that new consumers would trust and be interested in buying (ST3).

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