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Journal : Jurnal technoscientia

PERANCANGAN ALAT PEMECAH KEDELAI YANG ERGONOMIS DENGAN PENDEKATAN INTEGRASI MODEL KANO & QUALITY FUNCTION DEPLOYMENT Asih, Endang Widuri
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscentia Vol 1 No 2 Februari 2009
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (242.395 KB) | DOI: 10.34151/technoscientia.v1i2.395

Abstract

Operator work facility is one of the factors which influence work performance in a system. Good work facility must be comfortable for the operator. Operator work facility in a soya curd industry is a soya breaking tool. This tool doesn’t fulfill the standardized concept of ergonomy and user satisfaction. In this paper we are going to discuss operator work facility improvement; that is designing of an ergonomic soya breaking tool which is ideal and needed by the users. In the designing of the soya breaking tool, Kano and QFD models are intergratedly used. The result of the need analysis, we found twelve atributes. From the twelve attributes, after we processed by using Kano model about operator sa-tisfaction, applied in the House of Quality (HOQ), we found that there were five attributes in performance 1 and Basic factor. Those attributes were; the tool was easily maintained, the production process is fast, the tool is not tiring, the tool is save, and design is justified with the work position. To improve the quality of soya breaking tool by using Kano and QFD models, there are two primary factors. First, the tool size used Anthropometry, se-cond, the tool is operated by using feet.
ANALISIS REAKSI BERANTAI PADA TAHAP PROSES PENGELASAN DI PT MULTIFAB Wisnubroto, Petrus; Asih, Endang Widuri; Gunawan, Indra
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 3 No 1 Agustus 2010
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (113.133 KB) | DOI: 10.34151/technoscientia.v3i1.438

Abstract

MULTIFAB is a company engaged in the field of technical companies highly specialist themselves in the field of production, fabrication equipment and specialized structures used in the chemical industry, petrochemical and oil and gas. In the normal process of production, especially in the welding process, its output is still a lot of experience of disability. Efforts to increase product quality and prevent and minimize product failure, this requires an analysis of quality control that is with a chain reaction analysis. From the data processing, as an early stage concept identifiers use problem FMEA, failure indicates that the effects of the highest-rated Slag Inclusion Risk Priority Number (RPN) at 256. Stage of quality improvement can be made using the method of Kaizen Kaizen is the Five-Step Plan and the 5W 1H. Chain reaction from the results of quality improvement. This is done by measuring the productivity of labor performed before and after improvement of quality. From the measurement of productivity, an increase of 0.01 and calculating the cost of reworks the calculation result of Rp 880 956. Based on the results of processing data on improved quality, causing a chain reaction that is after improved quality, productivity will increase and production costs willdecrease because the repair of products will be reduced.
ADAPTASI ALGORITMA GENETIKA UNTUK MASALAH PENJADWALAN ULANG DENGAN TEKNIK SISIPAN PADA SISTEM MANUFAKTUR JOB SHOP DINAMIS NON DETERMINISTIK Asih, Endang Widuri
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 2 No 2 Februari 2010
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (198.61 KB) | DOI: 10.34151/technoscientia.v2i2.441

Abstract

The scheduling of a non-deterministic dynamic job shop was a matter of orga-nizing an amount of operations for certain machines with different sequence for different job, whereas the output of the job varies and was previously could not be determined. The purpose of the research was to minimize the mean tardiness of lateness of a job whether it was either an active job or non-delay, ahead of schedule or the rescheduled, and a prioritized job or the non priority. The research used genetic algorithm approach to determine the problems occurred in the scheduling or the rescheduling of a non-deter-ministic dynamic job shop. The function of fitness of the research functioned as the goal, whereas the best fitness output was the fitness with the biggest minimum mean tardiness. The best fitness for an ahead of schedule, either active or non-delay, was the ones with the exact fitness value of 0,0256410The same goes for early scheduling, either with or without priority, which had the exact output of 0,0256410. For a new job, either active or non-delay, had the exact fitness output of 0, 0148148. A different resulted for the resche-duling of a prioritized new job that had the best fitness output of 0, 0077295 for active job; and 0,005868 for a non-delay job. Rescheduling could be done by doing a job insertion in the beginning of the schedule. It was seen that in the beginning of the schedule, whether active or non-delay, the fitness was 0,0245610 and afterwards by adding job 6, job 7 and job 8 the output of the fitness differed accordingly with the case of the job.
PERENCANAAN KEBUTUHAN PRODUK GUNA OPTIMALISASI WASTE DAN LABA DENGAN APLIKASI FUZZY MULTIOBJECTIVE OPTIMIZATION Asih, Endang Widuri; Najah, Arini
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 3 No 2 Februari 2011
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (126.256 KB) | DOI: 10.34151/technoscientia.v3i2.470

Abstract

Xx is a company engaged in spinning yarn. This company produces various types of yarns including cotton, rayon, polyester-rayon and polyester-cotton. The problem that often arises at the moment is about optimization of raw materials. During the production process takes, the processing produces waste. This is resulting in unneces-sary costs, thus difficult to achieve optimal benefit. To generate the maximum profit and minimal waste, the company must determine the combination of products and allocate resources optimally. Simak Baca secara fonetik Kamus - Lihat kamus yang lebih detail Terjemahkan situs web mana pun USA Today-Amerika Serikat Museo del Prado-Spanyol OneIndia-Hindi Focus Online-Jerman Vogue-Prancis Marmiton.org-Prancis Machu Picchu-Spanyol NouvelObs-Prancis Nord-Cinema-Prancis Louvre-Prancis Berlingske.dk-Denmark Elle-Prancis Lakukan banyak hal dengan Google Terjemahan Cari resep sushi terbaik di dunia, tentunya dalam bahasa Jepang! Bebaskan kekuatan Penelusuran yang Diterjemahkan Google. Apa sih artinya? Pasang Google Toolbar supaya Anda tidak perlu kesulitan lagi dengan kosakata bahasa asing. Bangun bisnis global Anda. Iklankan ke berbagai bahasa menggunakan Google Peluang Pasar Global. Buku bahasa dalam kantong Anda! Pasang aplikasi Android kami sebelum perjalanan Anda ke Rio. Fuzzy multiobjective optimization is a method for optimized several objective functions bend to several constraints. This method is also application of fuzzy logic for helping company to solve the problems of limited resourse. By analyzing calculation result of linear programming than continued result enter in to fuzzy multi-objective method so to getted optimum product combination base on tolerance of company hoped. Result of research base on fuzzy multiobjective optimization method have got product combination they are rayon 40/1 1601,299 cone with profit Rp. 18170740,4 and waste 118,49 kg. By applying fuzzy multi-objective optimization can reduce waste 8,68 kg.
PENJADWALAN BATCH PADA SISTEM PRODUKSI JOB SHOP SINGLE ITEM MULTI Asih, Endang Widuri
JURNAL TEKNOLOGI TECHNOSCIENTIA Academia Ista Vol 9 Edisi Khusus Oktober 2004
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (291.533 KB) | DOI: 10.34151/technoscientia.v0i0.1884

Abstract

Peripatetic company in area manufacture will not get out of the that company ability to run its operation. Environmental problems optimation of manufacture usually hit the finite resource allocation of its amount in a few work area. With the certain criterion performance, the problems optimation is usually finished. One of form optimalitation in system manufacture is by scheduling existing production facility to finish some job. Two general criterion which often weared to evaluate the performance scheduling is makespan and flow time. At this research is conducted to compare the minimum makespan is by using overlapping method and without using overlapping method. Overlapping method is division of a number of part to be produced by multi stage into some batch in such a way that the batch can be parallelly processed. Batch scheduling by using overlapping method represent the optimal solution by minimation makespan. Total the optimal batch as much 2. Makespan got is equal to 148745,08 minute, smaller than makespan got without using overlapping method that is equal to 152000 minute. Big of time thrift is equal to 2,14%.