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Model Penunjang Keputusan Jadwal Produksi Jus Buah Segar Maflahah, Iffan; Machfud, Machfud; Udin, Faqih
Jurnal Teknik Industri Vol 13, No 1 (2012): Februari
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.625 KB) | DOI: 10.22219/JTIUMM.Vol13.No1.51-59

Abstract

Planning and production control are important factors to determine the efficiency derived through proper management of raw material supply of fresh fruits, production planning and master production schedule. This research aimed to develop the aggregate production planning model, and master production schedule model for juice production from fresh fruit, while also considered the perishability of the fresh fruit. There were several methods applied in the works, namely autoregressive integrated moving average (ARIMA) for forecasting of raw material product sale, mathematical model for raw material supply, linear programming for production planning and prospective production scheduling to develop master production schedule. This research developed software for decision support system called RP_JUS. The results showed that all raw material damage was distributed exponentially. Decision Support Model of Production Schedule for Fresh Fruit Juice can be applied to the processing indudtries that use fresh fruit.
Analisis Mutu dan Penerimaan Konsumen Terhadap Permen Tablet Dengan Formulasi Konsentrasi Pengisi, Pemanis dan Gambir Sari Intan Kailaku; Faqih Udin; Chilwan Pandji; nFN Amos
Jurnal Penelitian Pascapanen Pertanian Vol 2, No 1 (2005): Jurnal Penelitian Pascapanen Pertanian
Publisher : Balai Besar Penelitian dan Pengembangan Pascapanen Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jpasca.v2n1.2005.34-40

Abstract

Gambir berkhasiat untuk menguatkan gigi dan gusi yang secara tradisional dikenal sebagai campuran makan sirih. Manfaat ini dapat dikembangkan lebih lanjut dengan memanfaatkan gambir dalam produk perm en atau kembang gula. Permen tablet dipilih karena memiliki karakteristik rasa segar, tidak terlalu manis, dan umumnya rendah kalori, sehingga tidak bertolak belakang dengan manfaat dan karakter istik gambir. Penelitian ini bertujuan untuk mengetahui formula terbaik dalam pembuatan permen tablet dengan penambahan gambir. Bahan-bahan yang digunakan antara lain amilum (pengisi dan pengikat), sakarin (pemanis), magnesium stearat (pelicin), gambir, peppermint oil, penambah rasa strawberry dan pewarna makanan. Penelitian ini menggunakan rancangan acak lengkap faktorial dan dilakukan dengan tiga kali ulangan. Faktor yang digunakan adalah rasio pemanis dengan pengisi dengan tiga taraf, yaitu 3,5 : 96,S (A I); 5,5 : 94,S (A2); dan 8 : 92 (A3). Faktor kedua adalah penambahan gambir dengan tiga taraf, yaitu 3% (B I), 5% (B2) dan 7% (B3). Formula terbaik yang dihasilkan dalam penelitian adalah A I B I (rasio pemanis dengan pengisi 3,5 : 96,S dan pen am bah an gambir 3%). Formula ini memiliki spesifikasi produk dengan kadar air 2,6S%, kadar abu 2,07%; nilai kekerasan 4,475 mmllO dtkJSO g. Pad a uji organoleptik panel is memberikan nilai yang tinggi masing-masing pada parameter rasa dan warna, tekstur, dan aroma. Quality analysis and consumers preference on tablet candy with formulations of filler, sweetener and gambierTraditionally, gambier, which is healthyful for teeth and gums, is wellknown as a mixture for betel chew. It is proper to develop this benefit into a candy product. Tablet candy (compressed-tablet lozenges) was chosen because it is not too sweet, fresh, and has low calorie. These characteristics are not contradictive with gambier's characteristics and benefit. The objective of this research is to discover the best formula in the making of gambier lozenge tablet candy. Materials used were amylum (filler and binder), saccharine (sweetener), magnesium stearic (lubricant), gambier, peppermint oil, strawberry flavor, and coloring agent (food grade). This research was conducted using the design experimental used was complete random factorial design with two factors and three replicates. The factor of the ratio between sweetener and filler consists of three levels, namely: 3.5 : 96.5 (AI), 5.5 : 94.5 (A2), and 8 : 92 (A3). The second factor was the quantity of gambier used in the formula (w/w), consisted of three levels, namely: 3% (B I), 5% (B2), and 7% (83). The best formula resulted from this research was A I B I (3% gambier (wI w) with 3.5 : 96.5 ratio of sweetener and filler). The specification of product resulted from this formula was: moisture content 2.65%; ash content 2.07%; and 4.475 mmllO sec/50 g hardness value. Result of hedonic test showed that panels gave high rank for Al 8 I on taste, color, texture and aroma.
Model Penunjang Keputusan Jadwal Produksi Jus Buah Segar Iffan Maflahah; Machfud Machfud; Faqih Udin
Jurnal Teknik Industri Vol. 13 No. 1 (2012): Februari
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.625 KB) | DOI: 10.22219/JTIUMM.Vol13.No1.51-59

Abstract

Planning and production control are important factors to determine the efficiency derived through proper management of raw material supply of fresh fruits, production planning and master production schedule. This research aimed to develop the aggregate production planning model, and master production schedule model for juice production from fresh fruit, while also considered the perishability of the fresh fruit. There were several methods applied in the works, namely autoregressive integrated moving average (ARIMA) for forecasting of raw material product sale, mathematical model for raw material supply, linear programming for production planning and prospective production scheduling to develop master production schedule. This research developed software for decision support system called RP_JUS. The results showed that all raw material damage was distributed exponentially. Decision Support Model of Production Schedule for Fresh Fruit Juice can be applied to the processing indudtries that use fresh fruit.
Financial Feasibility Analysis of Small and Medium Business Development CV. XYZ in Madiun East Java Ma'ruf Pambudi Nurwantara; Sapta Raharja; Faqih Udin
SEAS (Sustainable Environment Agricultural Science) Vol. 1 No. 1 (2017)
Publisher : Warmadewa University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (729.93 KB) | DOI: 10.22225/seas.1.1.436.19-26

Abstract

Abstract The agricultural sector is the leading sector of the Indonesian economy. Oyster mushrooms are one of the subsectors of agriculture. High opportunities for business sustainability and consumer demand make it necessary to analyze the financial viability of this venture. Financial feasibility analysis is required to assist CV. XYZ to see the feasibility of the development effort to be run. This research uses investment and production cost analysis method, cost of goods sold, Break Even Point (BEP), Net Present Value (NPV), Payback Period (PP), and Incremental Rate of Return and Ratio B/C. The result of the financial feasibility of CV. XYZ is BEP by selling product 50 baglog or Rp. 150,000 per production. NPV valued at Rp 253,181,432, Payback Period in year 1, IRR worth 40% and Ratio B/C 1.42 in the first year up to the fifth year. Keywords: Financial feasibility,business development, oyster mushrooms
User Needs of Online Tutoring Applications Using House of Quality Aini, Qurrata; Cahyadi, Eko Ruddy; Udin, Faqih
Jurnal Aplikasi Bisnis dan Manajemen (JABM) Vol. 11 No. 1 (2024): JABM, Vol. 11 No. 1, Januari 2025
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.11.1.132

Abstract

Background: Technology has significantly influenced the education sector, particularly with the rise of mobile learning through online tutoring applications. However, users have reported several shortcomings, such as overly minimalist user interfaces, excessive animations, and suboptimal video and audio content quality. Additionally, data security concerns in mobile learning remain a critical issue.Purpose: This research aims to analyze the user needs of online tutoring applications as identified by users and potential users and translate these needs into actionable technical responses.Methodology: The study employs the House of Quality method and was conducted in the Jabodetabek area from 2021 to 2022. Data collection methods included voluntary and purposive sampling, using questionnaires distributed via Google Forms, as well as interviews and focus group discussions.Results: The House of Quality analysis highlights the prioritized user needs in the following order: 1) security and privacy, 2) performance, 3) information, 4) responsiveness, 5) technical reliability, and 6) design. The technical requirements identified to address these needs include network coverage, storage capacity, data transmission speed, application size, power consumption, network accessibility, and display resolution.Conclusion: The top user priorities for online tutoring applications are security and privacy, performance, and information. The most critical technical responses to meet these needs are improvements in network coverage, storage capacity, and data transmission speed.Originality/Value (State of the Art): This study translates user needs for online tutoring applications into specific technical responses, providing a foundation for the development and improvement of such applications. Keywords: online tutoring applications, mobile learning, house of quality, user needs, technical responses
Strategi pengadaan bahan baku agroindustri daun kelor berkelanjutan (studi kasus CV. Tri Utami Jaya di Mataram Provinsi Nusa Tenggara Barat) Agusfian, M.; Machfud, Machfud; Udin, Faqih
AGROINTEK Vol 19, No 4 (2025)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v19i4.27973

Abstract

CV. Tri Utami Jaya is an agricultural processing industry that utilizes moringa leaves in various product variants. The problem faced by CV. Tri Utami Jaya has a large capacity but idle capacity. Namely the production capacity that can be used by large companies are companies can use it. In reality, the capacity is not used (idle). In addition, I learned about the challenges faced by CV. Tri Utami Jaya with market potential, is in high demand while the need for raw materials is still fluctuating. The purpose of this study is to determine the need for accurate raw material procurement using the Auto Regressive Integrated Moving Average (ARIMA) model in order to obtain the most optimal prediction results, analyze internal and external factors that influence raw material procurement, and obtain a sustainable moringa leaf agroindustry raw material procurement strategy in terms of fulfillment and minimal risk. This research stage begins with a field study that will include interviews with moringa leaf agroindustry actors. The analysis method used is a combination of SWOT (Strengths, Weaknesses, Opportunities, Threats) and Analytical Hierarchy Process (AHP) techniques to obtain strategic priorities. The results of this study found two clusters, namely raw material fulfillment strategies and procurement risk reduction strategies. Furthermore, the first priority strategy alternative is to utilize the availability of large land in NTB (core plantations and partnerships), capital assistance for farmers, and government support in planting moringa by involving local workers, with a score of 0.3156. The second priority strategy is socialization to encourage farmers to replant moringa by ensuring higher profits from moringa leaf commodities with a score of 0.1979. The third priority strategy is to maximize the use of storage warehouses to accommodate and store raw materials in large quantities when availability is high, in order to face the threat of reduced availability of raw materials and weather uncertainty with a score of 0.1768.