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Environmental Impact Evaluation of a Fresh Milk Production Agustin, Yulianti; Kurniawan, Miftakhurrizal; Astuti, Retno; Rahman, Mohammad Arifur
Industria: Jurnal Teknologi dan Manajemen Agroindustri Vol 10, No 2 (2021)
Publisher : Department of Agro-industrial Technology, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.industria.2021.010.02.6

Abstract

AbstractThe study aimed to evaluate the waste impact on the environment in fresh milk production activities from the dairy cows rearing on farms to the distribution process of fresh milk to a milk processing factory and fresh milk selling agents, identify the most significant potential for contamination from fresh milk production activities on the environment, and provide alternative improvements based on the most significant environmental impact caused by fresh milk production activities. This research was conducted in a dairy farmer cooperative which is an organization that produces fresh milk. The Life Cycle Assessment (LCA) method was used to evaluate the environmental impact of fresh milk production activities. The analysis was carried out using SimaPro 9.0.0.47 software. The LCA stages carried out were Goal and Scope Definition, Life Cycle Inventory, Life Cycle Impact Assessment (LCIA), and Life Cycle Interpretation. The assessment of improvement alternatives was then analyzed using the pairwise comparison method to determine the highest weight. The results showed that the three most significant impact categories, namely eutrophication, human toxicity soil, and acidification. The biggest contamination from fresh milk production activities occurs in the fresh milk extraction process. Processing dairy cow dung into manure was the prioritized recommendation to reduce the impact.Keywords: environmental impact, life cycle assessment, fresh milkĀ AbstrakPenelitian ini bertujuan untuk mengevaluasi dampak limbah terhadap lingkungan pada aktivitas produksi susu segar mulai dari pemeliharaan sapi perah di peternakan sampai pada proses distribusi susu segar ke pabrik pengolah susu dan agen penjual susu segar, mengetahui potensi cemaran terbesar dari aktivitas produksi susu segar terhadap lingkungan, dan memberikan alternatif perbaikan berdasarkan dampak lingkungan terbesar yang disebabkan oleh aktivitas produksi susu segar. Penelitian ini dilakukan di a dairy farmer cooperative yang merupakan suatu organisasi yang memproduksi susu dalam bentuk segar. Metode Life Cycle Assessment (LCA) digunakan untuk mengevaluasi dampak lingkungan dari kegiatan produksi susu segar. Analisis dilakukan dengan software SimaPro 9.0.0.47. Tahapan LCA yang dilakukan adalah Goal and Scope Definition, Life Cycle Inventory, Life Cycle Impact Assessment (LCIA), dan Life Cycle Interpretation. Penilaian alternatif perbaikan kemudian dianalisis menggunakan metode perbandingan berpasangan untuk menentuan bobot tertinggi. Hasil penelitian menunjukkan bahwa tiga kategori dampak tertinggi yaitu eutrhopication, human toxicity soil dan acidification. Cemaran terbesar dari kegiatan produksi susu segar terjadi pada proses ekstraksi susu segar. Pengolahan kotoran sapi perah menjadi pupuk kandang merupakan rekomendasi yang diprioritaskan untuk mengurangi dampak tersebut..Kata kunci: dampak lingkungan, life cycle assessment, susu segar
The Design of Traceability Information System of Smart Packaging-Based Product Supply Chain to Improve A Competitiveness of Apple Processed Agro-Industry Amalia, Faizatul; Kurniawan, Miftakhurrizal; Setiawan, Danang Triagus
Journal of Information Technology and Computer Science Vol. 5 No. 3: Desember 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1473.718 KB) | DOI: 10.25126/jitecs.202053183

Abstract

Agricultural food products are various. Apple is one of the agricultural product which is popular in Malang. There are many processed products from apple. However, there is a problem of food security concerning on the agricultural processed products. The food security consists of the information of nutrition contained in it, expired period, and the supply of healthy food. Therefore, it is required a traceability system that gives a guarantee about product authenticity and entrusted information about the food products. Lack of good information and infrastructure will hamper the formation of an effective traceability system that has not been considered even considered to require high costs, especially for some Small and Medium Enterprises (SME) producers. In general, producers and consumers need an information system that can provide food information effectively and efficiently. In general, producers and consumers need an information system that can provide food information effectively and efficiently. The design concept uses object oriented methods using United Modeling Language (UML), which consists of: Use Case Diagrams, Sequence diagrams and Class Diagrams. The design results were tested using Requirement Traceability Matrix (RTM) and the value of Response for a Class (RFC). Based on this test, it is produced that the RTM can be traced to all artifacts that have been made and the average RFC value is 5.17 meaning the RFC value is between 1 to 69, so that the RFC between 1 to 69 then the coupling is adaptable
Developing A Supply Chain Of Apple Processed Product Traceability Information System Based On Smart Packaging And Digital Business Ecosystems Kurniawan, Miftakhurrizal; Amalia, Faizatul; Setiyawan, Danang
Journal of Information Technology and Computer Science Vol. 6 No. 3: December 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1157.413 KB) | DOI: 10.25126/jitecs.202163362

Abstract

Apples are one of the fruits that much post-harvest processing can do. Apples can be processed into drinks or snacks. The need for information about nutritional content is needed by consumers. Therefore, a traceability information system is needed that can enable consumers to know the nutritional content involved. This research uses the Waterfall model information system development method and the Unified modeling language (UML). This method allows for the sequential development of information systems. The results of this research will be in the form of an information system that has been tested using the Requirement Traceability Matrix (RTM) and Response for a Class (RFC) method. The resulting Response for a Class (RFC) value is 5.17, meaning that this information system will be easy to adapt later
Analysis of the efficiency level of the mozzarella cheese distribution channel (case study of CV Narendra Food Malang) Kurniawan, Miftakhurrizal; Laksono, Tri Kurniawan; Effendi, Mas'ud
AGROINTEK Vol 19, No 3 (2025)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v19i3.18473

Abstract

The distribution process has an essential role in the sustainability of an industry. The company's distribution process must be carried out effectively and efficiently, especially in terms of using human resources, capital, and others, to increase profits. Many companies need help with distribution efficiency, especially regarding CV Narendra Food. CV Narendra Food is a company that produces mozzarella cheese products with a short shelf life. The problem of short product shelf life requires companies to carry out effective and efficient distribution. The distribution process is currently experiencing issues related to efficiency. This study aims to measure the efficiency level of the distribution process carried out by CV Narendra Food and provide suggestions for improvement. This study uses the External Two-Stage Data Envelopment Analysis (DEA) model. The results showed that only two areas were efficient out of 8 distribution areas. Companies can make improvements by reducing distribution costs by using the services of delivery parties, increasing distribution in the regions that are considered inefficient, maximizing delivery to areas that are considered efficient, and setting a minimum number of orders so that deliveries can be made at optimal capacity.