Journal of Agroindustrial Technology
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Puji syukur kita panjatkan kehadirat Allah SWT, atas berkat dan rahmatNya kami dapat kembali hadir untuk menyajikan artikel-artikel terkini pada Jurnal Teknologi Industri Pertanian Volume 33 Nomor 3 Edisi Desember, Tahun 2023.
Semua artikel yang dimuat pada Jurnal Teknologi Industri Pertanian ini telah diseleksi dan ditelaah oleh Dewan Editor dan Mitra Bebestari yang kompeten. Hanya artikel-artikel berkualitas baik dan sangat baik yang dapat dimuat pada Jurnal Teknologi Industri Pertanian.
Topik-topik yang disajikan pada edisi ini meliputi uji aktivitas antioksidan dan biotransformasi ekstrak etanol dan heksana daun kelapa sawit, integration of SCOR and FUZZY AHP for location selection, faktor-faktor yang mempengaruhi pengembangan agroindustri kelapa, manajemen risiko pengembangan industri mocaf, potensi penerapan konsep ekonomi sirkular untuk pengembangan industri tahu, pemilihan supplier tebu menggunakan integrasi AHP-TOPSIS, peningkatan kualitas proses produksi tahu menggunakan metode FMEA dan FTA, desain tempat pengelolaan limbah cangkang terpadu sebagai upaya peningkatan nilai tambah limbah padat rajungan dan kajian keamanan pangan pada industri pengolahan susu di Jawa Tengah. Sebagai penutup disajikan artikel yang berjudul aktivitas antioksidan dan karakteristik fisik susu kambing pasteurisasi dengan penambahan buah lontar.
Kepada penulis dan mitra bebestari yang telah berkontribusi pada penerbitan jurnal edisi ini, kami menyampaikan terima kasih yang mendalam. Kami mengundang rekan sejawat peneliti dan praktisi agroindustri mengirimkan naskah untuk disajikan pada jurnal ini. Saran dan kritik yang membangun dari pelanggan, pembaca dan para pihak lainnya sangat kami harapkan. Selamat membaca.
Ketua Dewan Editor
Marimi
PENINGKATAN KUALITAS PROSES PRODUKSI TAHU MENGGUNAKAN METODE FMEA DAN FTA (STUDI KASUS: PABRIK TAHU DN)
Get PDFDN Tofu Factory is a food industry for tofu products. The company’s main problem is a defect product in October-December 2021 with an average of 7.01%. The purpose of research was to reduce the failure of production in use of the methods of Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). The result of DPMO (Defect per Million Opportunities) calculation is 17500 with a sigma level of 3.6084. Based on the FMEA calculations, two potential causes of failure from the highest perceived value of the RPN (Risk Priority Number), namely that workers do not use the full clothing attributes during the production process with an RPN value of 294 and workers did not pay attention to pressing time with an RPN value of 252. FTA analysis results shows two basic causes of problem, namely workers do not use PPE (Personal Protective Equipment) with a probability of 0.24 and that no tools are available to measure standard time with a probability of 0.2. The proposed improvements implemented by observing the GMP aspect (Good Manufacturing Practice) are to use digital timer, make a tool cleaning form, and make hand-washing posters, smoke free, a restriction on eating and drinking. There is a descrease in the value of DPMO to 16500 with sigma level of 3.6321 after implementation.
Keywords: failure mode and effect analysis, fault tree analysis, good manufacturing practice, tofu factor
STRATEGI PENGEMBANGAN VISUALISASI DESAIN KEMASAN KOPI ARABIKA GAYO UNTUK MENINGKATKAN PREFERENSI MINAT KONSUMEN
Get PDFGayo Arabica coffee is a high-quality specialty coffee with a distinctive, complex aroma and a fairly strong viscosity. By developing a visualization of the Gayo Arabica coffee packaging design, the coffee product is expected to be more accepted in the market according to consumer preferences. This study aimed to formulate a strategy for developing visualization of the Gayo Arabica coffee packaging design. Factors that cover the problem of packaging design visualization included colour, shape, brand, illustration/image, information/labeling, and local and cultural wisdom. The formulation strategy for packaging design visualization development could be completed using the soft systems methodology (SSM). The use of the SSM method providds two recommended activities, namely technical activities and policy activities. The results of this study can be used as a reference or reference for the industry or interested parties in considering the visualization of designs related to the packaging of Gayo Arabica coffee products.
Keywords: Aceh, conceptual model, Gayo arabica, rich picture, soft systems methodolog
INTEGRATION OF SCOR AND FUZZY AHP FOR LOCATION SELECTION OF EDIBLE WHITE COPRA AGRO-INDUSTRY
Get PDFThe selection of agro-industry location is essential in establishing, growing, and relocating agro-industrial systems for all forms of product development. In this regard, white copra has displayed a great economic potential due to export demand. To response this challenge, Indragiri Hilir Regency in Riau Province might become the most promising area since the location is lack of agroindustrial activity. Such condition leads to a excessive supply of coconut, which is in turn, causing the low price. This work aimed determine the best location for developing agroindustry for edible white copra based on multiple criteria. According to the findings, this research successfully created a new integration SCOR with Fuzzy AHP based on a multiple-criteria approach. At the first and second level, each option has equal rate of importance for each attribute and metric, while at the third level, corresponding to the highest importance, is the adaptability for increased shipping, procurement cost, days for coconut inventory, days for edible white copra stock. The fourth level, also corresponding to the highest importance, includes standard conformity, transportation facility, and the percentage of orders with the correct content. Based on the analysis, the locations showing the highest to the lowest importance were Tembilahan Hulu (0.194), Tempuling (0.152), Batang Tuaka (0.160), Kempas (0.118), Kuala Indragiri (0.100), Tembilahan (0.100), Teluk Belengkong (0.087), Pelangiran (0.080), and Enok (0.072). This research is expected to increase the development of edible white copra agroindustry in the Regency of Indragiri Hilir.
Keywords: integration, SCOR, FUZZY AHP, multicriteria, edible white copr
POTENSI PENERAPAN KONSEP EKONOMI SIRKULAR UNTUK PENGEMBANGAN INDUSTRI TAHU YANG BERKELANJUTAN
Get PDFTofu is one of the products produced mainly by small and medium industries (SMEs). Along with the production of tofu by SMEs, there are many environmental problems. The industry\u27s main ecological problems are waste management, efficient use of materials, water, and energy, and emissions generated during production. One solution that can be done to solve these problems is through the application of the circular economy concept. This research aimed to characterize the tofu production process, identify problems and analyze the potential application of the circular economy concept for the sustainable development of the tofu industry. The research was conducted through field observation and literature study. The research data were processed, analyzed, and presented in a qualitative descriptive manner. The results of the study show that the circular economy concept that can be adopted in the tofu industry A, B, and C is the utilization of solid waste in the form of tofu dregs as food ingredients (nuggets, tempe gembus, shredded and soy sauce), semi-finished foodstuffs (in the form of dregs flour which can be used as raw material for food processing such as crackers, pastries, and brownies), and as animal feed. Circular economy alternatives are analyzed by considering economic, environmental and social feasibility. Alternatives that are feasible and applicable to the tofu industry A, B, and C are washing soybeans in stages to reduce water use, tofu dregs are processed into tempe gembus or other products, cooking soybean porridge with boiler heating and cooking with a steam system, and liquid waste (whey) can be utilized as raw material for nata de soya, biogas and liquid fertilizer.
Keywords: circular economy, tofu industry, sustainabilit
CLUSTERING KABUPATEN BERDASARKAN LUAS HUTAN MENGGUNAKAN METODE K-MEANS DI PROVINSI JAWA TENGAH
Get PDFIndonesia is one of the countries with the largest forest in the world. The tropical climate and high rainfall cause a lot of biodiversity in Indonesia’s forests. The existence of these forests can be utilized by many parties, both the government and the community in accordance with their functions to improve welfare. The government through the Central Statistic Agency has provided data information related to the forest area in various regions, one of which is Central Jawa Province but still requires development to obtain important information in the data. This study aims to divide the district based on forest area including protected forest, protected area, area for production, and area for other users in Central Java province using the K-Means Data Mining method. The data is obtained from Central Statistic Agency for the Central Java area, where four types of forest are to be grouped. The results of this study indicate that the grouping of districts based on the area of forest owned is based on the smallest Davies Bouldin (DB), which is 0.436 in the grouping with 2 clusters. The two clusters are distinguished based on the value of the proximity of the forest type attribute with the centroid point in each cluster. The clustering process grouped 26 districts in the province of Central Java into cluster 1, while cluster 2 consisted of 3 districts in Central Java, namely Grobogan, Blora, and Brebes districts.
Keywords: clustering, forests, K-Mean
PENILAIAN DAUR HIDUP PRODUK SUSU SAPI SEGAR: STUDI KASUS DI KPBS PANGALENGAN
Get PDFMilk is food from livestock (animal) from dairy cows which contains protein, fat, vitamins, and minerals that can affect nutritional levels, especially in children during their growth period. The high interest in milk consumption in Indonesia affects the milk processing industry to increase every year. Starting from smallholder farms, milk can be processed into dairy products that are suitable for consumption by the community. The process of processing whole milk into dairy products that are ready to be consumed through a process that produces emissions, so that it has the potential to have an impact on the environment. The purpose of this study is to identify and quantify the materials and energy used, the amount of emissions produced from the milk production process, and estimate the magnitude of the impact on the environment and provide recommendations for alternative process improvements to minimize these impacts. The method used is a life cycle assessment (LCA) with a cradle to gate scope, starting from activities in livestock, animal feed, transportation, and process activities in cooperatives. The emission impacts studied in this study are greenhouse gases (GHG), acidification, and eutrophication. The case study was conducted at the South Bandung Dairy Cooperative (KPBS) Pangalengan. This cooperative consists of thousands of small-scale dairy farmers who contribute to the milk processing industry in Indonesia. Based on the results of the study, the impact values of GHG, acidification, and eutrophication per 1 kg of milk were 10,1 kg CO2 eq, 0.03 kg SO2 eq, and 0.03 kg PO43-eq, respectively. Transportation and activities on livestock are the highest hotspots in these emissions. Efforts to reduce environmental impacts that can be done are by implementing an integrated livestock system for the utilization of nutrients from cow dung waste.
Keywords: acidification, eutrophication, fresh milk, greenhouse gases, LC
IMPLEMENTASI K-MEANS DAN K-MEDOIDS DALAM PENGELOMPOKAN WILAYAH POTENSIAL PRODUKSI DAGING AYAM
Get PDFLivestock is the main sector in the effort to fulfill food needs for people in Indonesia and has the potential to maintain the availability of animal food. Guidance and socialization to provide information and knowledge in the field of food production from animals, especially in areas with low levels of chicken meat production need to be done. The research objectives were the use of the K-Means and K-Medoids algorithms for grouping chicken meat production areas in the province of West Java and the use of the Davies Bouldin Index (DBI) value in choosing the best algorithm. The application of K-Means and K-Medoids was carried out through the data mining process phase, namely data collection, data preprocessing, data mining implementation, evaluation of the number of clusters, determination of the best algorithm, and clustering results. The K-Means algorithm with 5 clusters can optimally classify potential areas for chicken meat production in West Java province with a DBI value of 0.273. The results of clustering can be used in business processes related to information on the amount of chicken meat production in the West Java region as a reference in the pattern of guidance to increase animal food production, develop chicken farming potential, and develop animal feed distribution potential.
Keywords: clustering, chicken meat k-means, data mining, k-medoid
MINIMALLY PROCESS PADA DAUN KALE (Brassica oleracea var. acephala)
Get PDFHorticulture is a commercial commodity with high economic value, one of which is kale leaves. Rumah Sayur Cisarua is a brand from the Sinar Mukti Farmers Group which markets kale leaves to Singapore. Information from partners, kale leaves experience a decrease in freshness in just 6-8 hours after arriving in Singapore. This study aimed to obtain a minimally process design for kale leaves so that the quality and freshness can be maintained during distribution to consumers, and can be applied at Rumah Sayur Cisarua. The minimal process on the selected kale leaves was carried out by hydrocooling with various soaking times of 5, 8 and 11 minutes. Furthermore, the kale leaves were stored in two storage schemes, namely (a) room temperature (20-25oC) and (b) room temperature (20-25oC) for 5 hours and continued in a showcase (5-8oC). Kale leaves stored in the first storage scheme experienced a change in leaf colour on the first day, while those stored in the second storage scheme experienced a change in leaf color on the fourth day. The length of soaking time chosen by the partners was 11 minutes with storage in the second scheme, due to the fresh appearance of the kale and the lower weight loss compared to the other soaking times. The additional cost required for the hydrocooling process of 50 kg of kale leaves is IDR 139,129.00 and the profit that partners get is 60%.
Keywords : hydrocooling, minimally process, kale lea