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Unlocking export market potential with optimized coffee capsule packaging Widyaningtyas, Shinta; Nanda, Ririn Fatma; Al Jabar, Andi; Pratama, Yogi; Febrianto, Dony; Hidayat, Muhammad Fajri
Community Empowerment Vol 10 No 4 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.12419

Abstract

Coffee capsules, which are measured servings of premium, ready-to-brew ground coffee sealed to preserve flavor, possess significant development potential due to the limited number of competitors and promising export and domestic market opportunities. CV. Sundanika Indonesia is one such coffee capsule producer in Indonesia. In its export market initiation, CV. Sundanika Indonesia faced challenges in selecting the appropriate packaging material for its coffee capsules. This Community Service program aimed to facilitate the transition of coffee capsule packaging materials at CV. Sundanika Indonesia. The program commenced with discussions to comprehensively identify the partner's problems and provide recommended solutions. The methods employed included Focus Group Discussions, the provision of sample coffee capsule packaging, and program evaluation. The program results indicate that the partner gained an understanding of packaging functions in general and the significant differences between plastic and aluminum foil packaging for coffee capsules, which motivated them to switch to aluminum foil packaging. A 30% increase in the partner's understanding supports the success of this packaging transition.
Karakterisasi Cabai Merah Giling yang Disimpan dalam Media Kolam Ikan Masyarakat Di Kota Padang Sumatera Barat Nanda, Ririn Fatma; Yenrina, Rina; Yolanda, Milda; Azima, Fauzan; Syukri, Daimon
JURNAL BIOSENSE Vol 6 No 02 (2023): Edisi Desember 2023
Publisher : Program Studi Biologi, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas PGRI Banyuwangi, Jalan Ikan Tongkol No 01, Telp (0333) 421593, 428592 Banyuwangi 68416

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/biosense.v6i02.3304

Abstract

Storing ground chilies in fish ponds was initiated by the Padang City, West Sumatra Province community. This research aimed to determine the characteristics of ground red chilies stored in fish ponds and refrigerators. 100 g of ground chili was stored and packaged in low-density polyethylene (LDPE) plastic clips and again in polypropylene (PP) plastic clips. The packaged material was soaked in a fish pond to a depth of ± 60 cm. Some packaged chilies were also stored in the refrigerator at ± 6 oC. Observations on the quality of ground chili, including water content, total titrated acid, antioxidant activity, air activity, total plate number, and organoleptic were analyzed periodically for ten weeks. The results showed that until the 10th week of storage, the characteristics of ground red chilies stored in fish ponds were almost identical to those stored in the refrigerator. The storage temperature in a fish pond differed from that in a refrigerator. Based on these findings, it can be hypothesized that a Modified Atmospheric Packaging system has occurred during storage in fish ponds because it allows low temperatures, which can slow down the freezing process. Therefore, further research needs to be conducted to assess the potential of fish ponds as an environmentally friendly storage place for fresh chilies. Keyword: storage, society, water media, ecosystem
Financial Feasibility Analysis of Manufacturing Body Scrub from Coffee Waste Adrinoviarini, Adrinoviarini; Nanda, Ririn Fatma; Robbani, Syifa'; Abdillah, Taufik
Jurnal Agrinika: Jurnal Agroteknologi dan Agribisnis Vol 8 No 1 (2024): MARCH
Publisher : Kadiri University - Faculty of Agriculture

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/agrinika.v8i1.5374

Abstract

Coffee grounds, a residual product stemming from the processing of coffee beverages, manifest as a compelling resource for economic exploitation in the manufacturing realm, particularly in the creation of diverse processed commodities such as body scrubs. The utilization of coffee grounds as the principal ingredient for body scrub fabrication epitomizes a proactive strategy aimed at ameliorating the surplus waste generated during coffee processing endeavors. Consequently, undertaking a meticulous financial evaluation of the coffee grounds scrub manufacturing enterprise emerges as an indispensable step towards facilitating business expansion. This comprehensive study meticulously examines the financial viability associated with establishing a specialized venture dedicated to the production of body scrub derived from coffee waste. Employing a multifaceted approach, the investigation harnesses both primary and secondary data sources in conjunction with sophisticated quantitative analysis techniques. The research methodology incorporates a series of empirical experiments conducted within the production framework, utilizing coffee grounds procured from the esteemed Laiyo Coffee Roaster. Through rigorous financial computations, the analysis unveils a favorable Net Present Value amounting to IDR184,709,323, coupled with an impressive internal rate of return standing at 45%. Furthermore, the assessment delineates a succinct payback period of 1.6 years, alongside a commendable benefit-cost ratio of 1.7, contingent upon the realization of predefined assumptions. The adherence to these stringent investment benchmarks unequivocally underscores the practical feasibility of embarking upon coffee grounds scrub production endeavors, provided the project attains anticipated revenue milestones, encompassing IDR491,666,667. Additionally, the venture anticipates post-tax profits totaling IDR195,607,667, correlating with a substantial profit margin of 39.78%.
Sosialisasi Penerapan Cara Produksi Pangan Olahan yang Baik (CPPOB) Pada Proses Produksi Kopi Kapsul Widyaningtyas, Shinta; Nanda, Ririn Fatma; Al Jabar, Andi; Pratama, Yogi; Febrianto, Dony; Hidayat, Muhammad Fajri
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 3 No. 2 (2024): Jurnal Ilmiah Pengabdian dan Inovasi (Desember)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57248/jilpi.v3i2.512

Abstract

Coffee is one of Indonesia's strategic commodities. There are various kinds of processed coffee, one of them is coffee pods. CV Sundanika Indonesia is one of the coffee pods producers in Indonesia. The lack of competitors makes CV Sundanika Indonesia's coffee pods become attractive to the export market. However, in the plan to export coffee pods products, CV Sundanika Indonesia is constrained by the distribution permit from BPOM. One of the requirements for obtaining a BPOM distribution permit is the standardization of the production process through CPPOB. The purpose of this Community Service Program is to introduce CPPOB to CV Sundanika Indonesia. Activities are divided into three stages, i.e. preparation, implementation, and evaluation to ensure the success of the community service program. The preparation stage includes content development, the implementation stage includes CPPOB socialization, and the evaluation stage is measured to determine the participants' understanding of CPPOB. The results of this program indicate an average increase in understanding of CPPOB at 30% as seen from the results of the pre-test and post-test. In addition, the result of this program is a recapitulation of the documents needed in the CPPOB submission.
A Review: Application of Bromelain Enzymes in Animal Food Products Ririn Fatma Nanda; Rini Bahar; Daimon Syukri; Nguyen Ngoc Anh Thu; Anwar Kasim
Andalasian International Journal of Agriculture and Natural Sciences (AIJANS) Vol. 1 No. 01 (2020)
Publisher : Lembaga Penelitian dan Pengabdian, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (548.892 KB) | DOI: 10.25077/aijans.v1.i01.33-44.2020

Abstract

This review focuses on the use of bromelain in various applications in animal products with the latest literature so that it can provide information on what parts of this enzyme can be applied. Bromelain is a protease enzyme found in stems (EC 3.4.22.32), leaves, crowns, fruit skins, fruit flesh (EC 3.4.22.33) and fruit tubers in pineapple. Bromelain has been exploited commercially in many applications in the food industry (baking industry), drinks industry (stabilizers in beer), tenders (meat), and pharmaceuticals (anti-tumorigenic agents). However, not all types of proteins can be hydrolyzed by bromelain, such as keratin which can only be hydrolyzed by keratinase, this is because the enzymes work specifically. In animal food products, bromelain is applied as a meat tenderizer, making of protein hydrolyzate products, cheese and also fish sauce product. The application of bromelain to animal food products has proven that hydrolyzed products using this enzyme can increase umami taste, which means that bromelain has great potential when applied to animal food products. Bromelain is useful in the processing of some animal food products because bromelain works specifically and is very active in animal protein such as milk, meat and collagen.
Decision Support System by using Multiple Attribute Decision making with Simple Additive Weighting Method (Madm-Saw) Method in Selecting the Best Bromelain Ririn Fatma Nanda; Anwar Kasim; Rini Rini; Daimon Syukri; Muhammad Arwani
Andalasian International Journal of Agriculture and Natural Sciences (AIJANS) Vol. 3 No. 02 (2022)
Publisher : Lembaga Penelitian dan Pengabdian, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijans.v3.i02.114-119.2022

Abstract

Bromelain is a protease enzyme obtained from pineapple. In choosing bromelain only pay attention to its chemical analysis and there is no rank yet. Therefore, research has been carried out in making the best bromelain decision using the Multiple Attribute Decision Making with Simple Additive Weighting Method (MADM-SAW) method based on the shelf life of pineapples. The basic concept of this method is to find the weighted sum of the performance branches for each alternative (treatment) of all attributes so that the best alternative will be obtained in the selection of crude bromelain enzymes based on pineapple storage. The results showed that the best pineapple fruit was with storage of day 0 as rank 1, with a total value was 0.9025.
Performance of K-Nearest Neighbors and Advanced Metaheuristic Algorithms for Feature Selection in Classifying the Purity of Civet Coffee Widyaningtyas, Shinta; Arwani, Muhammad; Nanda, Ririn Fatma
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 1 (2026): MALCOM January 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i1.2345

Abstract

Various studies have shown that feature selection can improve classification accuracy, particularly in agriculture. However, most of these studies still use conventional metaheuristic algorithms, which have certain limitations, including a tendency to get stuck in local optima. Therefore, this study explores the potential of advanced metaheuristic algorithms for selecting colour and texture features to classify the purity of civet coffee. This study used k-Nearest Neighbour (K-NN) model optimized with several advanced metaheuristic algorithms, i.e. Bare Bones Particle Swarm Optimisation (BBPSO), Modified Generalised Flower Pollination Algorithm (MGFPA), Enhanced Salp Swarm Algorithm (ESSA), Improved Salp Swarm Algorithm (ISSA), and Two-Stage Modified Grey Wolf Optimizer (TMGWO). The results show that feature selection can improve model accuracy. The best model was obtained from a combination of K-NN and TMGWO with an accuracy of 0.981, precision of 0.982, recall of 0.981, F1-Score of 0.981, and Area Under Curve (AUC) close to 1 with three selected features, i.e. blue correlation, s_hsl_correlation, and s_hsv_correlation. Furthermore, the results of this study indicate that the development of advanced metaheuristic algorithms can overcome the weaknesses of conventional algorithms, as demonstrated by improvements in classification model accuracy and the number of selected features.