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All Journal HAYATI Journal of Biosciences Jurnal Teknologi Industri Pertanian Jurnal Teknik Industri ASEAN Journal of Systems Engineering Teknotan: Jurnal Industri Teknologi Pertanian TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Engineering and Technological Sciences Jurnal Optimasi Sistem Industri agriTECH Proceeding of the Electrical Engineering Computer Science and Informatics Industria: Jurnal Teknologi dan Manajemen Agroindustri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Otomasi Kontrol dan Instrumentasi JURNAL PANGAN Kaunia: Integration and Interconnection of Islam and Science Journal Agroindustrial Journal Teknologi dan Industri Pertanian Indonesia AGRARIS: Journal of Agribusiness and Rural Development Research JURNAL INOVASI TEKNIK INDUSTRI Jakadimas

Mirwan Ushada

Department Of Agro-industrial Technology, Faculty Of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Author-ID : 408232

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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Analisis Mutu Produk Spaghetti Komersil dan Pengembangan Produk Spaghetti Berbasis Tepung Beras, Jagung, Mocaf, Kedelai Mayasti, Nur Kartika Indah; Ushada, Mirwan; Ainuri, Makhmudun
JURNAL PANGAN Vol 27, No 2 (2018): PANGAN
Publisher : Perum BULOG

Produk spaghetti yang telah komersil di pasaran terbuat dari terigu durum dan ada pula yang terbuat dari tepung beras dan tepung jagung, namun proteinnya lebih rendah. Penelitian ini bertujuan untuk menganalisis mutu produk spaghetti komersil sebagai produk pembanding dan mengembangkan pspaghetti dari tepung beras, jagung, mocaf dan kedelai. Penambahan tepung kedelai diharapkan dapat meningkatkan kadar protein. Produk spaghetti ini mengandalkan gelatinisasi dan mekanisme retrogradasi dengan mesin ekstruder pemasak dan pencetak. Variasi penambahan tepung kedelai yaitu 0%, 5%, 10%, 15%, 20% untuk mensubstitusi tepung beras yang awalnya 40 %, sedangkan bahan yang lain adalah tepung mocaf 40 % dan tepung jagung 20 %. Sampel dianalisa kadar protein, cooking time, cooking weight, cooking loss, elongasi, kelengketan, kekerasan, biaya bahannya dan dipilih 3 sampel terbaik untuk diuji organoleptik. Hasil penelitian menunjukkan bahwa spaghetti formulasi tepung kedelai 5 % adalah perlakuan yang terbaik dengan kadar protein 8,205 % bk yang lebih tinggi dibandingkan spaghetti non terigu yang telah komersil, cooking time 11 menit 30 detik, cooking weight 291,68%, cooking loss 22,70 %, elongasi 320,10 %, kelengketan -38,69, kekerasan 6089,79. Produk ini memiliki aroma, warna, rasa, kekerasan, kelengketan dan penerimaan keseluruhan yang agak disukai. Biaya variabel bahan untuk memproduksi spaghetti/1 kg bahan sebesar Rp 14.650,00.

AN INTELLIGENT INCENTIVE MODEL BASED ON ENVIRONMENTAL ERGONOMICS FOR FOOD SMES Ushada, Mirwan; Putro, Nur Achmad Sulistyo; Khuriyati, Nafis
Journal of Engineering and Technological Sciences Vol 51, No 6 (2019)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2019.51.6.7

In this study, an intelligent incentive model based on environmental ergonomics in food small and medium-sized enterprises (SMEs) was developed. Environmental ergonomics was defined as the impact of temperature and relative humidity within a certain range on a worker?s heart rate during work. Optimum environmental ergonomics are highly required as a basic standard for food SMEs to provide fair incentives. Recommendable parameters from a genetic algorithm and fuzzy inference modeling were used to model customized incentives based on optimum heart rate, workplace temperature and relative humidity before and after working. The research hypothesis stated that industries should optimize their workload and workstation environment prior to customizing incentives. The research objectives were: 1) to recommend optimum environmental ergonomics parameters for customized incentives; 2) to determine the incentives at workstations of SMEs based on optimum environmental ergonomics parameters and fuzzy inference modeling. The optimum values for heart rate, workstation temperature and relative humidity used were based on recommendable values from the genetic algorithm. An inference model was developed to generate decisions whether a worker should receive an incentive based on a calculated index. The results indicated that 84.4% of workers should receive an incentive. The results of this research could be used to promote the concept of ergonomics-based customized incentives.

An Optimization Model for Environmental Ergonomics Assessment in Bioproduction of Food SMEs Mirwan Ushada; Hani Febri Mustika; Aina Musdholifah; Tsuyoshi Okayama
HAYATI Journal of Biosciences Vol. 27 No. 4 (2020): October 2020
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.27.4.296

Environmental ergonomics in bioproduction of food Small Medium-sized Enterprises (SMEs) become a concern and need to be optimized. An optimization model was developed using a Genetic Algorithm (GA). The weight of an Artificial Neural Network Model was used as a fitness function for GA. The research objectives were: 1) To design an environmental ergonomic assessment system for bioproduction of Food SMEs, 2) To develop an optimization model for environmental ergonomic assessment using a Genetic Algorithm. GA is utilized to search optimal set points of environmental ergonomics based on the predicted fitness values. Each chromosome of GA represents the environmental ergonomics value. The parameters were heart rate, bioproduction temperature, distribution of bioproduction relative humidity and light intensity. The target of the optimization model was the bioproduction temperature set points. The research result indicated the model generated optimum values of environmental ergonomics parameter in bioproduction of food SMEs. The parameters could be used to provide standard workplace environment for the sustainability of food SMEs.

Artificial Neural Network Model for Affective Environmental Control System in Food SMEs Mirwan Ushada; Tsuyoshi Okayama; Atris Suyantohadi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.7437

This paper presents an affective environmental control system for Small and Medium-sized Enterprises (SMEs). The system is proposed as a technology innovation in appropriate information technology. It is defined that workplace environment set points could be controlled using worker workload. The research objectives are: 1) To design an affective environmental control model for SME; 2) To develop an Artificial Neural Network (ANN) model for predicting affective environment set points. The system consisted of 4 sub-systems as measurement, assessment, control and decision. An ANN model is developed for sub-systems of control. Training and validation data are acquired from 4 (four) samples of SME in Yogyakarta Special Region, Indonesia. The model has been developed successfully to predict temperature and light intensity set points using back-propagation supervised learning method. The research results indicated the satisfied performance of ANN with minimum error. ANN model indicated the closeness of R2 value between training and validation data. The research results could be applied to support the worker productivity in food SMEs by providing a comfort workplace environment and optimum worker workload.

MODEL KAIDAH KEPUTUSAN UNTUK MENGETAHUI ELEMEN DESAIN KEMASAN PEMBENTUK PERSEPSI KONSUMEN Azrifirwan, Taufik Djatna, Syamsul Maarif, Mirwan Ushada, Endang Warsiki
Jurnal Teknologi Industri Pertanian Vol. 27 No. 3 (2017): Jurnal Teknologi industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar

The packaging design elements that have appeal and take into account consumers' Kansei are crucial in introducing new products and influencing purchasing decisions. Integration of packaging design elements to produce a certain character has a combination and complexity, but can produce unequal perception. To reduce the emergence of perceptual ambiguity, then in the design process requires a measurable and standard model. The purpose of research were to design the attributes and sub elements and to make the decision rules so that the knowledge obtained underlying consumer expression. This research used a combination of Business Process Model Notation method to explain activity and data flow, Relief and Principle Component Analysis method to select design attributes and packaging selection, and Bayes Rough Set method to get the combination of decision rule. The results obtained represented the design elements and packaging samples such as size, colour, letter writing, and packaging bottle grouping as a means of reducing the number of samples. The Kansei expression of seriously was explained by a combination of text writing products that were not legibility, small font size, single color on the text, the dominant color of brown labels, black, green and no illustration of the image. The Kansei expression of eye cathing was explained by the combination of the design attributes of the sharpness of the colour, the text of the product, the text size of the product, the product text colour and the dominant colour, and the water illustration. The ergonomic aspect of bottled beverage design was that if it has a combination of high-element proportional bottles, it has a curved, low bottle cap, and a small bottle bottom diameter.Keywords: bayes rough set, design element, decision rule, kansei

An Intelligent Incentive Model Based on Environmental Ergonomics for Food SMEs Mirwan Ushada; Nur Achmad Sulistyo Putro; Nafis Khuriyati
Journal of Engineering and Technological Sciences Vol. 51 No. 6 (2019)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2019.51.6.7

In this study, an intelligent incentive model based on environmental ergonomics in food small and medium-sized enterprises (SMEs) was developed. Environmental ergonomics was defined as the impact of temperature and relative humidity within a certain range on a worker's heart rate during work. Optimum environmental ergonomics are highly required as a basic standard for food SMEs to provide fair incentives. Recommendable parameters from a genetic algorithm and fuzzy inference modeling were used to model customized incentives based on optimum heart rate, workplace temperature and relative humidity before and after working. The research hypothesis stated that industries should optimize their workload and workstation environment prior to customizing incentives. The research objectives were: 1) to recommend optimum environmental ergonomics parameters for customized incentives; 2) to determine the incentives at workstations of SMEs based on optimum environmental ergonomics parameters and fuzzy inference modeling. The optimum values for heart rate, workstation temperature and relative humidity used were based on recommendable values from the genetic algorithm. An inference model was developed to generate decisions whether a worker should receive an incentive based on a calculated index. The results indicated that 84.4% of workers should receive an incentive. The results of this research could be used to promote the concept of ergonomics-based customized incentives.

Analisis Pengaruh Kepuasan Kerja terhadap Kinerja Karyawan dengan Pendekatan Kansei Engineering Perusahaan XYZ Riza Ovita Risqi; Mirwan Ushada; Wahyu Supartono
agriTECH Vol 35, No 1 (2015)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

XYZ Company is an export-oriented industry which is important for them to focus on the competency of worker. Therefore, job satisfaction and workload are the important factors which inﬂuence the job performance based on the competency. This research highlighted a methodology to deﬁne the relationship between job satisfaction and performance using Kansei Engineering approach. Kansei Engineering approach is applicable to model the human sensibility factors using comparison between verbal and non-verbal parameters. The research objective is to determine the inﬂuence of job satisfaction and workload to worker performance. The workload factors were inﬂuenced by the workplace environment. Kansei words were acquired using the interview together with the video presentation as the source of worker image. A model of multiple regression analysis was developed as Kansei engineering model. The inputs were satisfaction and workload factors, while output is the worker performance. The research results indicated the correlation value of 77,5%, adjusted r square sebesar 44,1%. Research results indicated worker performance can be affected by job satisfaction and workload by 44.1%. The remained percentage of 55.9% was affected by others variable.ABSTRAKPerusahaan XYZ merupakan perusahaan yang berorientasi ekspor sehingga penting bagi perusahaan untuk dapat mempertahankan karyawan yang berkompeten dibidangnya. Salah satu cara yang dapat dilakukan perusahaan untuk mempertahankan karyawan adalah dengan menciptakan kepuasan kerja karyawan yang dapat mempengaruhi kinerja karyawan. Penelitian ini bertujuan untuk mengetahui besar pengaruh kepuasan kerja dan beban kerja terhadap kinerja karyawan Perusahaan XYZ. Beban kerja dipengaruhi oleh lingkungan kerja. Metode yang digunakan dalam penelitian adalah pendekatan Kansei Engineering. Kansei Engineering merupakan metode yang digunakan untuk mengolah nilai Kansei sebagai input menjadi atribut sistem kerja baru sebagai outputnya. Selain itu metode ini juga digunakan untuk mengetahui gap antara respon verbal dan non-verbal. Nilai Kansei diperoleh melalui wawancara yang disertai dengan pemutaran video sebagai sumber imajinasi karyawan. Hasil dari kuesioner kepuasan dan pengukuran beban kerja kemudian dianalisis menggunakan regresi berganda dengan hasil kuesioner kinerja. Input dari penelitian adalah faktor kepuasan kerja dan beban kerja, sedangkan output adalah kinerja karyawan. Hasil penelitian diperoleh nilai r square yaitu diketahui bahwa nilai korelasi model regresi linier berganda ini adalah sebesar 77,5%, sedangkan adjusted r square sebesar 44,1% menunjukkan bahwa kinerja karyawan variabel Y dapat dijelaskan oleh variabel X yang meliputi faktor ﬁsiologis, keselamatan dan keamanan, sosial, penghargaan, aktualisasi diri, dan beban kerja sebesar 44,1%. Persentase sisanya sebesar 55,9% dijelaskan oleh variabel lainnya.

Analisis Capacity Constrained Worker dengan Pendekatan Waktu Baku, Denyut Jantung dan Profile Of Mood States (Studi Kasus pada Industri Tempe “Muchlar”Kasihan Bantul) Maman Zuriwiatma; Mirwan Ushada; Guntarti Tatik Mulyati
agriTECH Vol 34, No 3 (2014)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Tempe ”Muchlar” is one the potential food indutry which all the job is pursued manually. The production process is based on the worker capacity. The main problem is the industry could not fulﬁ ll the production target of half-ﬁnished Tempe product of + 3.600 kg. The research objective is to identify Capacity Constrained Worker using standard time, heart rate, proﬁ le of mood states and recommending the improvement to increase the worker capacity. The measurement results were conﬁ rmed using analysis of working environment. The research results indicated that Capacity Constrained Worker of Tempe Industry was the worker of peeling. It was indicated by the standard time of 5,63 detik/kg that could not fulﬁ ll the production target of 3.600 kg in 5 work hours. The improvement was pursued by decreasing the room temperature of working station. The improvement could increase the standard time of 5 second/kg, fulﬁ lling the production target and increasing the income. Finally the improvement using Buffer Management could improve the Capacity Constrained Worker in Tempe Industry “Muchlar”.ABSTRAKTempe ”Muchlar” merupakan salah satu industri pangan yang semua pekerjaannya dilakukan manual sehingga proses produksinya sangat tergantung kapasitas dari pekerja. Permasalahan muncul karena target produksi tempe setengah jadi sebesar + 3.600 kg tidak tercapai. Penelitian ini bertujuan untuk mengidentiﬁkasi Capacity Constrained Worker yang terjadi menggunakan pendekatan waktu baku, denyut jantung, proﬁle of mood states serta menentukan perbaikan yang tepat untuk dapat meningkatkan kapasitasnya. Hasil pengukuran terhadap pekerja dikonﬁ rmasi dengan analisis keadaan lingkungan kerja. Dari hasil penelitian dapat ditentukan bahwa pekerja yang menjadi Capacity Constrained Worker adalah pekerja stasiun pemisahan kulit. Hal ini dibuktikan dari waktu baku yang diperoleh sebesar 5,63 detik/kg yang membuat target produksi sebesar 3.600 kg dalam 5 jam tidak tercapai. Dengan perbaikan yang dilakukan yaitu menurunkan suhu ruangan dari tinggi ke normal waktu baku pekerja dapat meningkat menjadi 5 detik/kg dan target produksi dapat tercapai serta meningkatkan pendapatan. Perbaikan dengan menerapkan buffer management dapat mengurangi stasiun kerja yang menjadi constraint.

Analisis Kinerja Mutu Prototipe Greening Material Lumut Berdasarkan Perubahan Skala Warna L*a*b* dan RGB Prita Nurindahsari; Mirwan Ushada; Mohammad Affan Fajar Falah
agriTECH Vol 34, No 1 (2014)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Quality performance greening material of moss was pursued based L*a*b* color scale and RGB index. The research objective is to test the quality of performance greening material of moss based on temperature parameters. Then determine the optimum point temperature greening material of moss in a controlled environment by color change parameters. The research was pursued by testing a prototype greening material of moss (sphagnum sp) in confined space, three treatment temperature are average temperature 28 ±20C, high temperature 33±20C and 38±20C as the extreme temperature, with 500 ml water stream for 2160 minutes and without watering for 1440 minutes. Indications of quality performance can be seen by L*a*b* and RGB color change. The results were confirmed by using photosynthesis rate. The best performance is in the extreme temperature treatment by flushing, with 34.71% of G index. The research concluded has satisfied quality performance greening material of moss in maximum.ABSTRAKKualitas performansi greening material lumut diyakinkan berdasarkan skala warna L*a*b* dan indeks RGB. Tujuan penelitian yaitu untuk pengujian performansi mutu tumbuhan lumut dalam prototipe greening material berdasarkan parameter suhu. Kemudian menentukan titik optimum suhu greening material lumut dalam sistem lingkungan terkendali dengan parameter perubahan warna. Penelitian ini dilakukan dengan menguji prototipe greening material lumut (sphagnum sp) pada confined space, dengan tiga perlakuan suhu yaitu suhu rata-rata 28±20 C, suhu tinggi 33±20 C dan suhu ekstrim 38±20C dengan penyiraman air 500ml selama 2160 menit dan tanpa penyiraman selama 1440 menit. Indikasi performansi mutu dilihat dari perubahan warna Lab dan RGB yang didukung dengan laju fotosintesis tumbuhan lumut. Hasil performansi paling optimum yaitu pada perlakuan suhu ekstrim dengan penyiraman dengan indeks G 34.71%. Kesimpulan dari eksperimen ini bahwa kualias yang paling memuaskan dari kinerja mutu prototipe greening material lumut pada perlakuan suhu maksimal.

Robust Design of Spaghetti Products based on Consumer Needs Nur Kartika Indah Mayasti; Mirwan Ushada; Makmudun Ainuri
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

To produce competitive advantage, a product has to be designed according to the criteria of consumer needs. The results of identifying consumer needs become technical requirements and target specifications in robust product design. The purpose of this research was to propose a robust design of gluten-free spaghetti product concept using the Taguchi method. The selection of factors and experimental levels utilized the zero one matrix and the evaluation matrix. The results showed that the priority quality attributes required by consumers include good product display, nutrition, acceptable taste, competitive prices, and made from local ingredients. Product specifications that are targeted at product quality are closer to commercial spaghetti products. Based on the experimental design, four factors and three levels with an orthogonal matrix (Taguchi) L9 (34) resulted in 9 product concepts. The selected concept has confirmed the quality of its spaghetti products.

Co-Authors Adiatmaja, Firstama Saka Afif Hakim Agus Hasan Hidayat Aina Musdholifah Ainuri, Makmudun Ali Al Farisi Ali Parkhan Arief Abdurrakhman, Arief Atris Suyantohadi Atris Suyantohadi Bambang Suhardi Didik Purwadi Fahrurozi, Muh Falah, Muhammad Affan Fajar Febrianisa Yulia Sandita Fitri Trapsilawati Guntarti Tatik Mulyati Hani Febri Mustika Haruhiko Murase Henry Yuliando Hiroshige Nishina Ibnu Wahid Fakhrudin Aziz Islam, Md Parvez Istikomah, Sintha Kotaro Takayama Kuncoro Harto Widodo Lilik Sutiarso Makhmudun Ainuri Maman Zuriwiatma Mayasti, Nur Kartika Indah Moh. Wahyudin Mohammad Affan Fajar Falah Muhammad Jimly Imamuddin Murase, Haruhiko Nafis Khuriyati Nindya Laksita Laras Nora Yuanita Restantin Nora Yuanita Restantin Noriko Takahashi Nur Aini Masruroh Nur Kartika Indah Mayasti Nur Kartika Indah Mayasti Okayama, Tsuyoshi Pradita, Sintia Putri Pringgo Widyo Laksono Prita Nurindahsari Putro, Nur Achmad Sulistyo Ririn Nur Alfiani Riza Ovita Risqi Rizky Silalahi Saroyo, Pujo Sidik, Gusmon Titis Wijayanto Tsuyoshi Okayama Tsuyoshi Okayama Tsuyoshi Okayama Wagiman, Wagiman Wahyu Supartono Yun Prihantina Mulyani

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