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Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi 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 412 Documents
Model Penilaian Risiko Berbasis Kinerja untuk Rantai Pasok Kelapa Sawit Berkelanjutan di Indonesia Rika Ampuh Hadiguna
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (428.531 KB) | DOI: 10.9744/jti.14.1.13-24

Abstract

As the country's largest palm oil producer in the world, Indonesian palm oil production is still encounter political barriers or non-tariff economy of several countries. Sustainable development policies have a role to overcome these obstacles. The research problem is how to build policies through the performance based risk assessment for sustainable palm oil supply chain in Indonesia. The research objective is to recommend policies that supported by performance-based risk assessment models for sustainable palm oil supply chain in Indonesia. Performance-based risk assessment algorithms have been developed and verified in a comprehensive manner. Model verification is conducted by analyzing the performance of crude palm oil supply chain based on expert’s analysis. This study has obtained the necessary indicators to assess the risk based on performance of sustainable crude palm oil supply chain. Model application has shown that risk level of sustainable crude palm oil in Indonesia relating to economics, environmental, and social aspects are moderate, respectively. However, there are some indicators that need to be considered with the level of risk is quite high, namely demand rate, quality of palm oil, timelines of product delivery, availability of crude palm oil and bullwhip effect. This paper has recommended some policies to address those risks.
APLIKASI PEMETAAN ALIRAN NILAI DI INDUSTRI KEMASAN SEMEN Iwan Vanany
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 7 No. 2 (2005): DECEMBER 2005
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (238.631 KB) | DOI: 10.9744/jti.7.2.127-137

Abstract

This paper describes the application of Value Stream Mapping to identify the waste in cement-package industry on PT IHSG. The Value Stream Mapping is used to map the activity towards the company's supply chain with the result that the non-value adding activity could be identified. The result will be an important fundament for identifying the defect and time. The effort for identifying the company's improvement meet the problem priority and it has a significant impact so that the time and cost consuming could be avoided. Abstract in Bahasa Indonesia : Paper ini menggambarkan bagaimana aplikasi pemetaan aliran nilai dapat mengidentifikasi waste pada industri kemasan semen. Pemetaan aliran nilai digunakan untuk memetakan aktivitas pada rantai pasok perusahaan sehingga aktivitas yang tidak bernilai tambah dapat diketahui. Hasil pemetaan akan menjadi landasan penting didalam mengetahui cacat dan waktu tunggu. Upaya untuk mengidentifikasi perbaikan perusahaan sesuai dengan masalah prioritas yang ada dan memiliki dampak yang signifikan sehingga tidak terjadi pemborosan biaya dan waktu program perbaikan. Kata kunci: pemetaan aliran nilai, industri kemasan semen, waste.
The Consumers Characteristics Analysis of Low Temperature Home Delivery Shu-Fang Lai
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (452.949 KB) | DOI: 10.9744/jti.15.2.85-94

Abstract

Because of technological advancements and the popularity of the Internet, online shopping has become an important shopping channel for consumers. Because people increasingly eat out, more consumers shop online, and food products are collected from convenience stores, or frozen food home delivery services are used. This study used questionnaire surveys to analyze the consumption habits of residents who shop online for frozen foods in the urban areas of northern Taiwan (Taipei City and New Taipei City). We distributed and collected 548 questionnaires, of which 484 were valid. Descriptive statistics, a chi-square test, and logistics regression analysis were used to analyze consumer characteristics, as well as important influential factors. The research results indicated that most online shoppers were women, and the top 3 factors influencing their purchasing decisions were freshness, delivery convenience, and ordering convenience. Participants in the age group of 40-49 years old, living in the urban area of New Taipei City, without junior college education, and with less than 10,000 NTD monthly incomes, were less likely to purchase frozen foods using low-temperature logistics services.
The Effect of Unreliable Machine for Two Echelons Deteriorating Inventory Model I Nyoman Sutapa; I Gede Agus Widyadana
Jurnal Teknik Industri Vol. 16 No. 2 (2014): DECEMBER 2014
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (792.963 KB) | DOI: 10.9744/jti.16.2.107-112

Abstract

Many researchers have developed two echelons supply chain, however only few of them consider deteriorating items and unreliable machine in their models In this paper, we develop an inventory deteriorating model for two echelons supply chain with unreliable machine. The unreliable machine time is assumed uniformly distributed. The model is solved using simple heuristic since a closed form model can not be derived. A numerical example is used to show how the model works. A sensitivity analysis is conducted to show effect of different lost sales cost in the model. The result shows that increasing lost sales cost will increase both manufacture and buyer costs however buyer’s total cost increase higher than manufacture’s total cost as manufacture’s machine is more unreliable.
MENGUKUR KESUKSESAN PRODUK PADA TAHAP DESAIN: SEBUAH PENDEKATAN FUZZY-MCDM Ade Febransyah
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 8 No. 2 (2006): DECEMBER 2006
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (79.93 KB) | DOI: 10.9744/jti.8.2.122-130

Abstract

It has always been a great challenge to any product development team to forecast the success of a new product at the design stage. For any product concept, it is of interest to assign an accurate probability to any event or state of the world that reflects the new product success. This probability is then required in decision tree analysis for selecting the best product concept. In practice, the probability is determined solely on intuition or subjective judgment due to impreciseness, lack of information during the design stage, and the cognitive limitation of decision makers. This paper presents an approach integrating fuzzy set theory and multi criteria decision making (MCDM) approach in forecasting accurately the success of a new product. The analytic hierarchy process (AHP) is used due to its simplicity as a prescriptive approach that will help decision makers select the best decision with respect to a set of criteria. Fuzzy numbers are used to describe any judgment on design criteria and the event probability of a product concept. A numerical example is given to illustrate the use of this approach. Abstract in Bahasa Indonesia : Selalu menjadi tantangan besar bagi setiap tim pengembang produk untuk dapat mengestimasi tingkat kesuksesan suatu produk baru pada tahap desain. Tingkat kesuksesan yang dinyatakan dengan besar probabilitas berbagai state of the world dari suatu konsep produk selanjutnya digunakan dalam analisa keputusan untuk memilih konsep produk terlayak. Selama ini besar probabilitas ditentukan lebih banyak berdasarkan intuisi dan subyektifitas pengambil keputusan. Praktik ini cenderung menghasilkan keputusan yang bias mengingat keterbatasan kapabilitas kognitif manusia dalam mensintesa berbagai keunggulan maupun kekurangan dari sekumpulan konsep produk. Tulisan ini bertujuan untuk menyampaikan satu pendekatan yang mengintegrasikan logika fuzzy dan pendekatan pengambilan keputusan berkriteria jamak (multi criteria decision making /MCDM) dalam menentukan tingkat kesuksesan suatu konsep produk yang lebih akurat. MCDM digunakan karena pada dasarnya problem pemilihan konsep produk terbaik selalu mempertimbangkan sekumpulan kriteria. Pendekatan analitic hierarchy process (AHP) dipilih karena pendekatan ini menawarkan perspektif preskriptif yang akan menuntun pengambil keputusan untuk melakukan apa yang sebaiknya dan dapat dilakukan dalam membuat keputusan. Bilangan fuzzy digunakan untuk merepresentasikan penilaian terhadap berbagai kriteria dan besar kemungkinan dari berbagai tingkat kesuksesan suatu produk. Dengan menggunakan pendekatan Fuzzy - MCDM, tingkat kesuksesan dari suatu konsep produk akan diperoleh dengan lebih akurat dan dapat dipertanggungjawabkan untuk sesuatu yang sulit dilakukan bila pengambilan keputusan lebih didasari intuisi dan subyektifitas semata. Sebuah contoh numerik disampaikan untuk menerangkan penggunaan pendekatan ini. Kata kunci: bilangan fuzzy, MCDM, AHP, konsep produk baru.
Investigation of Lockout / Tagout Procedure Failure in Machine Maintenance Process Luciana Triani Dewi
Jurnal Teknik Industri Vol. 20 No. 2 (2018): December 2018
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (173.2 KB) | DOI: 10.9744/jti.20.2.135-140

Abstract

Lockout/tag out (LOTO) refers to specific practices and procedures to stop the release of hazardous energy and turnoff machinery and equipment during service or maintenance activities. An effective LOTO system will ensure the workers are protected from the unexpected conditions during maintenance activities. This paper focus on incidents of LOTO system failures in an electricity power industry. LOTO system had implemented for many years in the company, but many incidents of LOTO system failure was still happened. The purpose of the research was to investigate the cases of incident caused by LOTO procedure failures. The research was conducted using descriptive analytical approach to analyse the cases of incident to find the root causes and develop the solution. Main data used in the research was document of incidents and was analysed by Systematic Cause Analysis Technique (SCAT). The result of investigation showed the root causes of LOTO system failure were caused by individual, job and management factors. Based on SCAT chart synthesis, the control actions were identified. The identified control movement were improve operational procedure of LOTO and proposed job description of supervisor. Evaluation of control action concluded that basically the suggestions were feasible to implement and some adjustments were needed due to implementation.
A Hybrid Greedy Algorithm and Simulated Annealing for Single Container Loading Problem: A Case Study Gede A Widyadana; Audrey Tedja Widjaja; Kun Jen Wang
Jurnal Teknik Industri Vol. 20 No. 2 (2018): December 2018
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (609.487 KB) | DOI: 10.9744/jti.20.2.89-94

Abstract

A single container loading problem is a problem to effectively load boxes in a three-dimensional container. There are many researchers in this problem try to find the best solution to solve the problem with feasible computation time and to develop some models to solve real case problem. Heuristics are the most method used to solve this problem since the problem is an NP-hard. In this paper, we introduce a hybrid greedy algorithm and simulate annealing algorithm to solve a real container loading problem in one flexible packaging company in Indonesia. Validation is used to show that the method can be applied practically. We use seven real cases to check the validity and performance of the model. The proposed method outperformed the solution developed by the company in all seven cases with feasible computational time.
Curriculum Assessment of Higher Educational Institution Using Trace-segmented Clustering Satrio Adi Priyambada; Mahendrawathi ER; Bernardo Nugroho Yahya
Jurnal Teknik Industri Vol. 20 No. 1 (2018): June 2018
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1392.947 KB) | DOI: 10.9744/jti.20.1.33-48

Abstract

Curriculum mining is research area that assess students’ learning behavior and compare it with the curriculum guideline. Previous work developed sequence matching alignment approach to check the conformance between students’ learning behavior and curriculum guideline. Considering only the sequence matching alignment is insufficient to understand the patterns of group of students. Another work proposed an approach by aggregating the students’ profile to represent students’ learning behavior and investigate the impact of the learning behavior to their learning performance. However, the aggregate profile approach considers the entire period of study rather than segmented period. This study proposes a methodology to assess students’ learning path with segmented period i.e. the semester of the related curriculum. The segmented-period profile generated would be the input for sequence matching alignment approach to assess the conformity of students’ behavior with the prior curriculum guideline. Real curriculum data has been used to test the effectivity of the methodology. The results show that the students can be grouped into various cluster per semesters that have different characteristic with respect to their learning behavior and performance. The results can be analyzed further to improve the curriculum guideline.
A Hybrid Scatter Search Heuristic Algorithm for Solving Cockpit Crew Rostering Ahmad Rusdiansyah; Danim Musthofa; Nurhadi Siswanto; Maulin Masyito Putri
Jurnal Teknik Industri Vol. 20 No. 2 (2018): December 2018
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (709.28 KB) | DOI: 10.9744/jti.20.2.141-152

Abstract

This research introduces the development of Hybrid Scatter Search Heuristic for solving cockpit crew (pilot and co-pilot) rostering problem. This research aims to minimize the deviation of flight hours among the cockpit crew of an airline, Garuda Indonesia Airline, during the one-month planning horizon. The weakness of the existing algorithm used in the airline, which is a trial-and-error algorithm, is that the variation among crew flight times for one month is too significant and the scheduling process takes a quite long time. We tested the performance of our proposed algorithm to that of the existing algorithm. The numerical experiments showed that the proposed algorithm had outperformed the existing algorithm. More specifically, we found some in sensitivity analysis experiments. Our experiment results showed that that the higher the flight time target, the higher the total deviation of flight time. We also conducted several experiments to show the robustness of our proposed algorithm. First, we tested the relationship between the number of pilots who can use their preferences and the total deviation of flight time. We conducted experiments by giving the cockpit crew the opportunity to choose a day off. Finally, we analyzed the results by changing the number of cockpit crew.
Robust Optimization Model for Bi-objective Emergency Medical Service Design Problem with Demand Uncertainty Diah Chaerani; Siti Rabiatul Adawiyah; Eman Lesmana
Jurnal Teknik Industri Vol. 20 No. 2 (2018): December 2018
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.352 KB) | DOI: 10.9744/jti.20.2.95-104

Abstract

Bi-objective Emergency Medical Service Design Problem is a problem to determining the location of the station Emergency Medical Service among all candidate station location, the determination of the number of emergency vehicles allocated to stations being built so as to serve medical demand. This problem is a multi-objective problem that has two objective functions that minimize cost and maximize service. In real case there is often uncertainty in the model such as the number of demand. To deal the uncertainty on the bi-objective emergency medical service problem is using Robust Optimization which gave optimal solution even in the worst case. Model Bi-objective Emergency Medical Service Design Problem is formulated using Mixed Integer Programming. In this research, Robust Optimization is formulated for Bi-objective Emergency Medical Service Design Problem through Robust Counterpart formulation by assuming uncertainty in demand is box uncertainty and ellipsoidal uncertainty set. We show that in the case of bi-objective optimization problem, the robust counterpart remains computationally tractable. The example is performed using Lexicographic Method and Branch and Bound Method to obtain optimal solution. 

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