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Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri

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Published by Universitas Kristen Petra Surabaya

ISSN : 14112485 EISSN : 20877439 DOI : -

Core Subject : Engineering,

Industrial & Manufacturing 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.

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Articles 412 Documents

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Advanced Manufacturing Technology Implementation Process in SME: Critical Success Factors Jani Rahardjo; Salleh bin Yahya
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 12 No. 2 (2010): DECEMBER 2010
Publisher : Institute of Research and Community Outreach - Petra Christian University

The aim of this paper is to present critical factors that constitute a successful implementation of the Advanced Manufacturing Technologies (AMT) in Small Medium Enterprise (SME). Many large companies have applied AMT and the applications have shown significant results in this global market era. Conveniently, these phenomenons are also engaged to Small Medium Enterprises (SME) that of high demands on performing high quality product, fast delivery, reliable and more flexible. The implementation of AMT follow several processes namely pre installation, installation, improvement and mature. In order to guarantee the succesfull of running these processes, one should consider the Critical Success Factors (CSF). We conducted a survey to 125 SMEs that have implemented AMT, and found that the CSF for each process are moderately different. Good leadership is the main critical success factor for preparing and installation of the AMT. Once the AMT started or installed and arrived at growth stage, the financial availability factor turns into a critical success factor in the AMT implementation. In, mature stage, the support and commitment of top management becomes an important factor for gaining successful implementation. By means of factor analysis, we could point out that strategic factors are the main factors in pre-installation and installation stage. Finally, in the growth stage and mature stage, both tactical and strategic factors are the important factors in the successful of AMT implementation

PEMETAAN PREFERENSI KONSUMEN SUPERMARKET DENGAN METODE KANO BERDASARKAN DIMENSI SERVQUAL Kriswanto Widiawan; Irianty Irianty
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 6 No. 1 (2004): JUNE 2004
Publisher : Institute of Research and Community Outreach - Petra Christian University

The management of supermarket usually has some assumptions about the customers' expectation. Sometimes these assumtions do not reflect the nature of customers' expectations. Because of this miss perception, the supermarket looses its profit and becomes inefficient. This research was carried out in order to find out the customers' expectation on facilities and services of the supermarkets according to the servqual dimensions. The outcomes will be mapped into Kano categorizations. The researcher asked the customer dan manager of four supermarkets to fill the prepared questionnaires. Based on the result of customers' questionnaires, tangible, reliability and assurance dimensions were categorized as one dimensional. While responsiveness and emphaty dimensions were categorized as indifferent. Based on the result of managers' questionnaires, all servqual dimensions were categorized as one dimensional. After comparing the results of customers' and managers' questionnaires, there are three of four supermarkets which are match each other. Abstract in Bahasa Indonesia : Manajemen supermarket pada umumnya memiliki asumsi-asumsi mengenai harapan konsumen yang belum tentu sama dengan harapan konsumen sesungguhnya. Akibat ketidaktahuan informasi penting tersebut, tidak sedikit supermarket yang mengalami kerugian atau kinerjanya tidak efisien. Tujuan penelitian ini adalah mengetahui harapan konsumen tentang fasilitas dan layanan supermarket menurut dimensi servqual yang dipetakan ke dalam kategori Kano. Penelitian dilakukan terhadap konsumen dan manajer dengan cara memberikan kuesioner. Menurut responden konsumen supermarket, dimensi servqual yang tergolong kategori one dimensional adalah tangible, reliability dan assurance. Sedangkan dimensi responsiveness dan emphaty termasuk kategori indifferent. Sementara itu, responden manajer supermarket berpendapat semua dimensi servqual termasuk kategori one dimensional. Dari empat supermarket yang diteliti, diketahui ada tiga supermarket yang cocok persepsinya antara manajer dengan konsumennya. Kata kunci: Dimensi servqual, metode Kano, kepuasan konsumen.

Model Identifikasi Risiko dan Strategi Peningkatan Nilai Tambah pada Rantai Pasok Kelapa Sawit Syarif Hidayat; Marimin .; Ani .; Sukardi .; Mohamad Yani
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 14 No. 2 (2012): DECEMBER 2012
Publisher : Institute of Research and Community Outreach - Petra Christian University

The actors in the palm oil supply chain industry are the farmers, traders, crude palm oil (CPO) factories, frying-oil factories (refineries), distributors and the consumers. The farmers sell fresh fruit bunches (FFB) to the CPO factories through traders. FFB is converted into CPO which is later sold to the refineries. Refineries convert CPO into frying oil which is sold to the consumers through the distributors. There are risks due to product quality consistency, price fluctuation and supply chain continuity. This study has two objectives: (1) to develop a model to identify, evaluate and rank the risks, (2) to develop a model to identify and rank the strategies in improving their added value. Data for this study was obtained through direct interviews and questionnaires. The respondents were selected experts and industry players. The data were processed using Fuzzy Analytic Hierarchy Process (FAHP) models. The first FAHP model showed that the two most important risks were the supply chain continuity and product quality. The second FAHP model showed that the recommended strategies to improve the added values of the actors were the improvement of the infrastructure/cluster development, followed by the usage of superior seeds and cultivation techniques.

Model Optimisasi Multiobjektif untuk Masalah Alokasi Penggunaan Lahan dengan Menggunakan Analisis Data Spasial Diah Chaerani; Budi Nurani Ruchjana; Vivian Wilhelmina
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 14 No. 1 (2012): JUNE 2012
Publisher : Institute of Research and Community Outreach - Petra Christian University

A good land-use allocation is an important effort to create a safe urban space, comfortable, productive, and sustainable. This is as stipulated in UU RI No. 26 of 2007 regarding spatial planning in Indonesia. Therefore the optimization on allocation land use is important to do. In this paper we present a different approach to solve the land-use allocation problem, i.e,, by using multiobjective optimization, branch and bound methods and generating spatial data analysis via uniformly weighted matrix. In this problem, the objective function is to maximize the total density index and total comprehensive index of the land-use types. An illustrative data that refer to Region Regulation for Bandung No. 09 of 2009 is presented.

PEMODELAN B-SPLINE DAN MARS PADA NILAI UJIAN MASUK TERHADAP IPK MAHASISWA JURUSAN DISAIN KOMUNIKASI VISUAL UK. PETRA SURABAYA I Nyoman Budiantara; Fredi Suryadi; Bambang Widjanarko Otok; Suryo Guritno
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 8 No. 1 (2006): JUNE 2006
Publisher : Institute of Research and Community Outreach - Petra Christian University

Regression analysis is constructed for capturing the influences of independent variables to dependent ones. It can be done by looking at the relationship between those variables. This task of approximating the mean function can be done essentially in two ways. The quiet often use parametric approach is to assume that the mean curve has some prespecified functional forms. Alternatively, nonparametric approach, .i.e., without reference to a specific form, is used when there is no information of the regression function form (Haerdle, 1990). Therefore nonparametric approach has more flexibilities than the parametric one. The aim of this research is to find the best fit model that captures relationship between admission test score to the GPA. This particular data was taken from the Department of Design Communication and Visual, Petra Christian University, Surabaya for year 1999. Those two approaches were used here. In the parametric approach, we use simple linear, quadric cubic regression, and in the nonparametric ones, we use B-Spline and Multivariate Adaptive Regression Splines (MARS). Overall, the best model was chosen based on the maximum determinant coefficient. However, for MARS, the best model was chosen based on the GCV, minimum MSE, maximum determinant coefficient. Abstract in Bahasa Indonesia : Analisa regresi digunakan untuk melihat pengaruh variabel independen terhadap variabel dependent dengan terlebih dulu melihat pola hubungan variabel tersebut. Hal ini dapat dilakukan dengan melalui dua pendekatan. Pendekatan yang paling umum dan seringkali digunakan adalah pendekatan parametrik. Pendekatan parametrik mengasumsikan bentuk model sudah ditentukan. Apabila tidak ada informasi apapun tentang bentuk dari fungsi regresi, maka pendekatan yang digunakan adalah pendekatan nonparametrik. (Haerdle, 1990). Karena pendekatan tidak tergantung pada asumsi bentuk kurva tertentu, sehingga memberikan fleksibelitas yang lebih besar. Tujuan penelitian ini adalah mendapatkan model terbaik mengenai nilai ujian masuk terhadap nilai IPK (Indek Prestasi Kumulatif) mahasiswa jurusan Disain Komunikasi Visual tahun 1999 di Universitas Kristen Petra Surabaya dengan analisis regresi, baik parametrik maupun nonparametrik. Pendekatan regresi parametrik menggunakan regresi linear sederhana, kuadratik dan kubik, sedangkan regresi nonparametrik digunakan B-Spline dan Multivariate Adaptive Regression Splines (MARS). Secara keseluruhan, model terbaik dipilih berdasarkan koefisien determinasi terbesar. Namun demikian untuk MARS, model terbaik dipilih berdasarkan pada GCV, minimum MSA dan koefisien determinasi terbesar. Kata kunci: regresi nonparametrik, B-Spline, MARS, koefisien determinasi.

Image-based Analysis for Characterization of Chicken Nugget Quality Chumpol Yuangyai; Piyaphorn Matvises; Udom Janjarassuk
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 15 No. 2 (2013): DECEMBER 2013
Publisher : Institute of Research and Community Outreach - Petra Christian University

Appearance, colors and adhesion characteristics of chicken nugget are important to customer satisfaction and buying decision. These characteristics are generally inspected by hu-man, thus, the inspectors might incorrectly judge. In addition, the results are not quantitatively recorded for further analysis and improvement. Therefore, this study focuses on constructing a measurement instrument for detecting the qualities of chicken nugget, then gage repeatability and reproducibility (GR&R) study is used to ensure that the instrument is capable of dis-tinguishing nugget differences. Since, there are eleven characteristics of chicken nugget are analyzed. The principal component analysis is applied to reduce the number of characteristics from eleven dimensions to only four dimensions. The experiments and data analysis show that the dimension reduction is useful for rapidly detect the abnormality of nuggets and finally help practitioners to improve the process.

Designing Gate Assignment Model to Find the Optimum Airport Gate Assignment Order Akhmad Hidayatno; Armand Omar Moeis; Gede Arya Satya Dharma
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 17 No. 1 (2015): JUNE 2015
Publisher : Institute of Research and Community Outreach - Petra Christian University

The growth of aviation industry in Indonesia accelerates the escalationof Airport Gate Assignment Problem in the Soekarno Hatta International Airport. The gate assignment issue mainly influence passenger satisfaction over the general flight service. This research was conducted to develop Gate Assignment Optimization in the Soekarno Hatta International Airport, focused on minimizing the number of Un-gated Flights. This paper propose a meta-heuristic approximation approach namely simulated annealing to solve the Gate Assignment Problem. Output of this paper is the aircraft Gate Assignment Order at Terminal 2 Soekarno Hatta International Airport. The result suggests, decreasing number of Un-gated Flights occurred with the implementation of the proposed method. This research may be developed in the future by adding another objective function such as minimizing passenger walking distance and constructing real time based model.

DESIGN FOR SIX SIGMA Liem Ferryanto
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 9 No. 1 (2007): JUNE 2007
Publisher : Institute of Research and Community Outreach - Petra Christian University

This article provides a step by step process of executing analytical or computer based Design for Six Sigma using a Sliding Door project as an example. It comprises of identification of Voice Of the Customer (VOC), transformation of VOC to what it is called Critical To Quality characteristics (CTQs), modeling of system transfers function, optimal and robust solutions, and tolerance design approach

REGRESSION ANALYSIS OF PRODUCTIVITY USING MIXED EFFECT MODEL Siana Halim; Indriati N Bisono
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 9 No. 2 (2007): DECEMBER 2007
Publisher : Institute of Research and Community Outreach - Petra Christian University

Production plants of a company are located in several areas that spread across Middle and East Java. As the production process employs mostly manpower, we suspected that each location has different characteristics affecting the productivity. Thus, the production data may have a spatial and hierarchical structure. For fitting a linear regression using the ordinary techniques, we are required to make some assumptions about the nature of the residuals i.e. independent, identically and normally distributed. However, these assumptions were rarely fulfilled especially for data that have a spatial and hierarchical structure. We worked out the problem using mixed effect model. This paper discusses the model construction of productivity and several characteristics in the production line by taking location as a random effect. The simple model with high utility that satisfies the necessary regression assumptions was built using a free statistic software R version 2.6.1.

PERBANDINGAN KINERJA ALGORITMA GENETIKA DAN ALGORITMA HEURISTIK RAJENDRAN UNTUK PENJADUALAN PRODUKSI JENIS FLOW SHOP Didik Wahyudi; Ervin Medianti; Tessa Vanina Soetanto
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 1 No. 1 (1999): JUNE 1999
Publisher : Institute of Research and Community Outreach - Petra Christian University

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

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