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Jurnal Teknik Industri
ISSN : 14112485     EISSN : 20877439     DOI : -
Core Subject : Engineering,
Jurnal Teknik Industri aims to: Promote a comprehensive approach to the application of industrial engineering in industries as well as incorporating viewpoints of different disciplines in industrial engineering. Strengthen academic exchange with other institutions. Encourage scientist, practicing engineers, and others to conduct research and other similar activities.
Arjuna Subject : -
Articles 6 Documents
Search results for , issue "Vol. 1 No. 1 (1999): JUNE 1999" : 6 Documents clear
STUDI TENTANG PETA KENDALI X TUNGGAL SEBAGAI PENGGANTI PETA KENDALI X DAN S Tanti Octavia; Joni Cenderakiawan
Jurnal Teknik Industri Vol. 1 No. 1 (1999): JUNE 1999
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (51.507 KB) | DOI: 10.9744/jti.1.1.pp. 51-61

Abstract

Shewhart's dan S(or R) control charts have been used very widely in industries . For several decades, many researchers have endeavoured to develop new algorithms to raise the detecting effectiveness of the control charts. While these methods do increase detecting effectiveness, they usually increase the type I error at the same time. This error give the warning that process is unstable. In this article, we design a single control chart to subtitute -S control chart that have the same sensitivity but doesn't increase error type I. We analyze those factors and their influence to a single and -S control chart. The ARL1 value in -S control chart i s compared with a single control chart . The result shows that a single control chart effective enough. Abstract in Bahasa Indonesia : Sampai saat ini Peta Kendali dan S (atau R) merupakan peta kendali yang umum dipakai di kalangan industri. Pada beberapa dekade, sejumlah penelitian dilakukan untuk menemukan algoritma yang dapat meningkatkan kepekaan peta kendali dalam pendeteksian. Pada saat kepekaan peta kendali tersebut meningkat maka bersamaan dengan itu kesalahan dalam pendeteksian juga meningkat. Di dalam artikel ini penulis mencoba membangun sebuah peta kendali tunggal yang dapat menggantikan peta kendali -S yang memiliki kepekaan sama tetapi tidak meningkatkan kesalahan jenis I. Untuk itu dilakukan simulasi yang menganalisa faktor-faktor tersebut dan pengaruhnya terhadap peta kendali -S dan tunggal. Nilai ARL1 peta kendali -S dibandingkan dengan nilai ARL1 peta kendali tunggal. Hasil simulasi menunujukkan bahwa peta kendali tunggal cukup efektif. Kata kunci : ARL0, ARL1, a1
REVIEW OF TOTAL QUALITY MANAGEMENT CONCEPT Daniel Indarto Prajogo
Jurnal Teknik Industri Vol. 1 No. 1 (1999): JUNE 1999
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.533 KB) | DOI: 10.9744/jti.1.1.pp. 12-17

Abstract

The definition of TQM continues to be a debated issue to organizational management. Not only is there an absence of a uniform definition but also there is no prescriptive standard outlining TQM concepts. This supports an argument that TQM is not merely a tool or method that is ready for use, but there is a set of underlying principles, philosophies and paradigms that must be applied in the unique organizational context. This paper will discuss the concept of TQM at three integrated levels in an organization from inside out; namely paradigm level, system and structural level and technical and operational level in the purpose for helping organizations to grasp the comprehensive substance of TQM.
OPTIMASI KUALITAS WARNA MINYAK GORENG DENGAN METODE RESPONSE SURFACE Didik Wahjudi; Lely Tjandranitia Dewi; Gan Shu San
Jurnal Teknik Industri Vol. 1 No. 1 (1999): JUNE 1999
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (59.695 KB) | DOI: 10.9744/jti.1.1.pp. 18-29

Abstract

Quality optimization of cooking oil color is done by performing experiment using samples of 98 gram cooking oil and 2 gram of whitening agent, i.e. bleaching earth and carbon active. There are three variables that affects the cooking oil color, i.e. temperature (X1) in the range of 90 to 110° C, stirring time of 10 to 20 minutes, and active carbon concentration (X3) of 5 to 15% (of the 2 gram of whitening agent). Response Surface Method consists of two-experiment designs, the first order and the second order experiment designs. The first order experiment design is the factor screening stage, while the second order design is the optimization stage. The first order experiment shew that only stirring time and the concentration of active carbon affects the color. The second order experiment resulted in that the appropriate optimization model is Y = 1,7833 + 0,0538 X2 0,1098 X3 + 0,0477 X2 X3 + e, and that there are three choices of optimal factor condition with regards of the whitening agent cost. Abstract in Bahasa Indonesia : Optimasi kualitas wama minyak goreng dilakukan dengan mengadakan eksperimen menggunakan sampel minyak goreng dengan berat 98 gram dan zat pemutih 2 gram, yang terdiri dari bleaching earth dan carbon active. Variabel-variabel yang mempengaruhi warna minyak goreng ada tiga, yaitu temperatur (XI) antara 90°C sampai 110°C, waktu pengadukan (X2) antara 10 menit sampai 20 menit, dan kadar CA (X3) antara 5% sampai 15% (dari 2 gram zat pemutih). Metode Response Surface terdiri dari dua rancangan eksperimen, yaitu rancangan eksperimen orde I dan rancangan eksperimen orde II. Dimana rancangan eksperimen orde I merupakan tahap penyaringan faktor (screening test), sedangkan rancangan eksperimen orde II merupakan tahap optimasi. Dari hasil eksperimen orde I, diperoleh basil bahwa variabel yang berpengaruh adalah waktu pengadukan dan CA. Hasil eksperimen orde II menyatakan bahwa model optimasi yang sesuai adalah Y = 1,7833 + 0,0538 X2 0,1098 X3 + 0,0477 X2 X3 + e, dan kondisi optimum faktor dengan pertimbangan biaya zat pemutih ada tiga pilihan. Kata kunci: desain eksperimen, rekayasa mutu
MODEL MATEMATIK UNTUK MENENTUKAN NILAI TUKAR MATA UANG RUPIAH TERHADAP DOLLAR AMERIKA Siana Halim; Shirley Adelia; Jani Rahardjo
Jurnal Teknik Industri Vol. 1 No. 1 (1999): JUNE 1999
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (107.816 KB) | DOI: 10.9744/jti.1.1.pp. 30-40

Abstract

The main objective of this paper is to estimate parameters in the heteroskedasticity models, particularly in Auto Regressive Conditional Heteroskedasticity - ARCH(1) and Generalized Autoregressive Conditional Heteroskedasticity- GARCH(1,1). These models will be used to fit, to forecast and to update the volatility of Rupiah Vs US.Dollar rate. In order to get the estimation of fitting and updating parameters of ARCH(1) and GARCH(1,1), here will be used iterative method which is derived from the standard maximum likelihood estimation and the initial values are taken from the result of Yule Walker Estimation. The updating parameters will be estimated by using the approach of ARIMA(p,d,q) updating parameters models. The heteroskedasticity models will give a good fitting even a good forecast in near stasioner condition, however this models can not detect the jump that can be happend due to the changes of political situation that happend in Indonesia. Abstract in Bahasa Indonesia : Tujuan utama dari penelitian ini adalah untuk menentukan nilai estimasi pada parameter-parameter yang terdapat pada model-model heteroskedastik, khususnya dalam Auto Regressive Conditional Heteroskedasticity - ARCH(1) dan Generalized Autoregressive Conditional Heteroskedasticity- GARCH(1,1). Model-model ini akan digunakan untuk menentukan, meramalkan dan memperbaharui nilai parameter dari nilai tukar mata uang Rupiah terhadap Dollar Amerika. Nilai estimasi pada model ARCH(1) dan GARCH(1,1) diperoleh dengan metode iteratif yang diturunkan dari estimasi maksimum likelihood baku dan nilai awalnya didapat dari pendekatan Yule Walker. Penentuan nilai parameter yang diperbaharui akan diestimasi dengan menggunakan pendekatan model ARIMA(p,d,q). Model-model heteroskedastik memberikan nilai pendekatan nilai tukar yang baik bahkan memberikan nilai peramalan yang baik pula, namun demikian model ini belum dapat mendeteksi terjadinya loncatan yang terjadi yang diakibatkan oleh perubahan situasi politik di Indonesia. Kata kunci: ARCH, GARCH, YWE, MLE, Heteroskedasticity
PERBANDINGAN KINERJA ALGORITMA GENETIKA DAN ALGORITMA HEURISTIK RAJENDRAN UNTUK PENJADUALAN PRODUKSI JENIS FLOW SHOP Didik Wahyudi; Ervin Medianti; Tessa Vanina Soetanto
Jurnal Teknik Industri Vol. 1 No. 1 (1999): JUNE 1999
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (63.627 KB) | DOI: 10.9744/jti.1.1.pp. 41-50

Abstract

Flow shop scheduling problem is to schedule a production process of n jobs that go through the same process sequence and the same m machines. Most researches are don to accomplish only one objective, i.e. minimizing makespan. The other objective, such as total flow time, or multiple objectives that is minimizing makespan, total flow time and machine idle time, will be more effective in reducing scheduling cost, as written in French (1982). Rajendran algorithm (1995) that solves flow shop problem with multiple objectives will be used to evaluate the proposed algorithm: Genetic Algorithm, developed by Sridhar & Rajendran (1996) on a problem that existed in a shoe factory. Abstract in Bahasa Indonesia : Masalah penjadualan flow shop adalah menjadualkan proses produksi dari masing-masing n job yang mempunyai urutan proses produksi dan melalui m mesin yang sama. Kebanyakan penelitian hanya mengacu pada satu tujuan saja yaitu meminimumkan makespan. Tujuan yang lain, seperti meminimumkan total flow time atau multiple objectives yang meminimumkan makespan, total flow time dan machine idle time akan lebih efektif dalam mengurangi biaya penjadualan, sebagaimana dikatakan oleh French (1982). Algoritma Rajendran (1995) yang menyelesaikan masalah flow shop dengan multiple objectives akan dipergunakan untuk mengevaluasi algoritma usulan: Algoritma Genetika, yang dikembangkan oleh Sridhar & Rajendran (1996) pada suatu masalah yang ditemui di suatu perusahaan sepatu. Kata kunci: flow shop, algoritma genetika, multiple objectives
PENJADUALAN FLOWSHOP DENGAN ALGORITMA GENETIKA Tessa Vanina Soetanto; Danny Prabowo Soetanto
Jurnal Teknik Industri Vol. 1 No. 1 (1999): JUNE 1999
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (62.826 KB) | DOI: 10.9744/jti.1.1.pp. 1-11

Abstract

This paper explains and gives an application of genetic algorithm for flowshop scheduling at "X" company to reach minimum multiple objectives of makespan, total flowtime and machine idletime. Comparison to HC heuristic algorithm (Ho and Chang, 1991) is done to show the differences of genetic algorithm. Abstract in Bahasa Indonesia : Makalah ini menyajikan penjelasan dan contoh aplikasi dari algoritma genetika untuk penyelesaian masalah penjadualan flowshop di PT "X" dengan tujuan meminimumkan makespan, total flowtime, dan machine idletime secara bersama-sama. Selain itu untuk mengetahui keunggulan dari algoritma genetika juga dilakukan perbandingan terhadap algoritma heuristic HC (Ho and Chang, 1991). Kata kunci: flowshop, multiple objectives, algoritma genetika

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