cover
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota surabaya,
Jawa timur
INDONESIA
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 8 Documents
Search results for , issue "Vol. 22 No. 1 (2020): June 2020" : 8 Documents clear
Multi-response Characteristics Optimization of a Paper-based Composite using Taguchi Method and Particle Swarm Optimization Phengky Pangestu; Azizah Hadny Qurrota Ayun; Rizca Tri Wulandari; Ekty Nabilah; Eko Pujiyanto
Jurnal Teknik Industri Vol. 22 No. 1 (2020): June 2020
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (539.927 KB) | DOI: 10.9744/jti.22.1.53-62

Abstract

Our dependency towards wood has reduced the number of forests especially in Indonesia. Hence, many people tried to use another material as a replacement of wood. One of them is composite. Department of Industrial Engineering Universitas Sebelas Maret has developed paper-based composite using newspaper waste in Praktikum Perancangan Teknik Industri (PPTI) II. Unfortunately, the quality of composite is not so good. This paper tried to understand the effect of factors to responses and discover the best combination of factors to obtain the best responses. The responses of this experiment are tensile strength, bending strength and impact value. The factors of this experiment are paper pulp, PVAc glue and water. Taguchi method is used to find the appropriate orthogonal array and Particle Swarm Optimization method to find the optimum combination of the factors. Orthogonal array used in this experiment is L9 (34).  Through analysis, all of the factors are significant to tensile and bending strength, but they are not significant to impact value. The best combination of factors is 175 grams paper pulp, 130 grams PVAc glue and 175 ml water. Optimum results obtained for tensile strength is 0.7595 N/mm2, bending strength is 4.873 N/mm2 and impact value is 0.0138 J/mm2.
Application of Ensemble Empirical Mode Decomposition based Support Vector Regression Model for Wind Power Prediction Irene Karijadi; Ig. Jaka Mulyana
Jurnal Teknik Industri Vol. 22 No. 1 (2020): June 2020
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (562.291 KB) | DOI: 10.9744/jti.22.1.11-16

Abstract

Improving accuracy of wind power prediction is important to maintain power system stability. However, wind power prediction is difficult due to randomness and high volatility characteristics. This study applies a hybrid algorithm that combines ensemble empirical mode decomposition (EEMD) and support vector regression (SVR) to develop a prediction model for wind power prediction. Ensemble empirical mode decomposition is employed to decompose original data into several Intrinsic Mode Functions (IMF). Finally, a prediction model using support vector regression is built for each IMF individually, and the prediction result of all IMFs is combined to obtain an aggregated output of wind power Numerical testing demonstrated that the proposed method can accurately predict the wind power in Belgian.
Readiness Factor Identification on Kabupaten Karawang SMEs towards Industry 4.0 Era Rianita Puspa Sari; Deri Teguh Santoso
Jurnal Teknik Industri Vol. 22 No. 1 (2020): June 2020
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (241.828 KB) | DOI: 10.9744/jti.22.1.65-74

Abstract

This study aims to explore the readiness of SMEs Karawang in terms of Technology, Organization, Environment (TOE) Framework and technological readiness (TRI) for benefits of industry 4.0 (BOI) in the dimension of industry 4.0 (DOI), viewed from different business scale groups; micro-businesses (group 1) and small-medium businesses (group 2), with a random sampling of 300 SMEs samples using the multigroup-SEM method. The results showed that the feasibility of the research model was quite good from the results of the structural test of the multigroup-SEM. In the micro business (group 1), managerial (TOE) and technology (TRI) MSME readiness factors influence the use of technology pillars in the industry dimension (DOI). In contrast, in small and medium business groups (group 2), the managerial (TOE) and technology (TRI) readiness of MSMEs influence the use of (DOI) and the benefits of the industrial era 4.0 (BOI).
Ergo-Biopsychosocial Approach to Support the Quality of Life of Small Housing Inhabitants Markus Hartono; Antonius Johanes Tjahjoanggoro; Marselius Sampe Tondok; Indri Hapsari
Jurnal Teknik Industri Vol. 22 No. 1 (2020): June 2020
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (443.137 KB) | DOI: 10.9744/jti.22.1.25-36

Abstract

A study on the intervention of human factors engineering (known as ergonomics) on sustainable living based on biopsychological needs was conducted, taking samples of small housing inhabitants. In total, 90 participants were involved. Those who were living in small housings have a significant challenge of how to live comfortably given very limited space. The measurement of the quality of human life through WHOQOL-BREF (World Health Organization Quality of Life-BREF) and ergonomics-based usability were used to describe the current human well-being satisfaction, to propose the modified physical facilities, and to validate the proposed design and improvement. The findings showed that all implemented improvements have supported the inhabitant’s quality of life.
Perceived Usage of E-Wallet among the Y Generation in Surabaya based on Technology Acceptance Model Dewi Pertiwi; Widjojo Suprapto; Eric Pratama
Jurnal Teknik Industri Vol. 22 No. 1 (2020): June 2020
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (322.679 KB) | DOI: 10.9744/jti.22.1.17-24

Abstract

Although the government of Indonesia is building the cashless society, the number of e-wallet users are increasing slowly. E-wallet is becoming a common instru­ment of payments from the paper-based instruments to server-based electronic money. The aim of this research is to investigate the perceived usage of the Y Genera­tions on e-wallet based on Technological Acceptance Model (TAM) which is a power­ful model to describe single approval to the usage of a new information technology system. As a quantitative research, the data analysis is using the Partial Least Square (PLS) with the SmartPLS 3.0 software. The results show that perceived usefulness and perceived ease of use brings impacts positive significant impacts to behavioural intention to use, then, the behavioural intention to use affect a positive significant impact to perceived usage. However, a direct effect from perceived useful­ness to perceived usage shows a negative and no significant impact, meanwhile an unintended effect from perceived usefulness to perceived usage through behavioural intention to use show a positive significant impact. Finally, a direct effect from perceived ease of use to perceived usage shows a lower t-statistic value than an indi­rect effect from perceived ease of use to perceived usage through behavioural inten­tion
Statistical Learning for Predicting Dengue Fever Rate in Surabaya Siana Halim; Felecia Felecia; Tanti Octavia
Jurnal Teknik Industri Vol. 22 No. 1 (2020): June 2020
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (503.901 KB) | DOI: 10.9744/jti.22.1.37-46

Abstract

Dengue fever happening most in tropical countries and considered as the fastest spreading mosquito-borne disease which is endemic and estimated to have 96 million cases annually. It is transmitted by Aedes mosquito which infected with a dengue virus. Therefore, predicting the dengue fever rate as become the subject of researches in many tropical countries. Some of them use statistical and machine learning approach to predict the rate of the disease so that the government can prevent that incident. In this study, we explore many models in the statistical learning approaches for predicting the dengue fever rate. We applied several methods in the predictive statistics such as regression, spatial regression, geographically weighted regression and robust geographically weighted regression to predict the dengue fever rate in Surabaya. We then analyse the results, compare them based on the mean square error. Those four models are chosen, to show the global estimator’s approaches, e.g. regression, and the local ones, e.g. geographically weighted regression. The model with the minimum mean square error is regarded as the most suitable model in the statistical learning area for solving the problem. Here, we look at the estimates of the dengue fever rate in the year 2012, to 2017, area, poverty percen­tage, precipitation, number of rainy days for predicting the dengue fever outbreak in the year 2018. In this study, the pattern of the predicted model can follow the pattern of the true dataset.
Eco-Efficiency of Pencil Preduction Using Life Cycle Assessment to Increase the Manufacture Sustainability Ratna Purwaningsih; Christoper Frans Simanjuntak; Zainal Fanani Rosyada
Jurnal Teknik Industri Vol. 22 No. 1 (2020): June 2020
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (389.86 KB) | DOI: 10.9744/jti.22.1.47-52

Abstract

This study aims to measure the environmental costs (eco-cost) and the eco-efficiency ratio rate (EER) of the production of pencils and formulate some recommendations to improve the manufacture sustainability. The measurement of Eco-efficiency was performed using life cycle assessment (LCA) with the eco-cost method. The pencil manufacturer produces a waste of 20 %, and the product rejects 37 %. The material used is wood, slat, and chemical material for painting. The result of the data processing shows that the eco-costs of IDR 50.593.583 for 4200 grosses production lot size. The eco-efficiency index or EEI for pencil product was 1,69, which means that the products are affordable and sustainable. The eco-efficiency ratio rate (EER) is 41% means that pencil production processes need improvement. The single score Impact Category Diagram shows that the most significant environment impact category is climate change. The recommendation to improve the EER of pencil production based on Impact Category Diagram is (1) to increase the utilizing of wood waste and (2) to increase the capability of technicians and operators to reduce the product rejection. These recommendations aim to reduce the wood consumed in production.
Economic Order Quantity Model for Growing Items with Incremental Quantity Discounts, Capacitated Storage Facility, and Limited Budget Yosi Agustina Hidayat; Veterina Nosadila Riaventin; Okky Jayadi
Jurnal Teknik Industri Vol. 22 No. 1 (2020): June 2020
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (438.546 KB) | DOI: 10.9744/jti.22.1.1-10

Abstract

The development of the inventory model started when Harris introduced the classic inventory model. It was firstly published by Wilson using the optimization method. He derived a mathematical equation model to obtain economic order quantities. Later, this model is known as the classic Economic Order Quantity (EOQ) or Wilson Model. The classic inventory EOQ model has some limitations. The model assumed that order items do not have physical changes during a planning period. This assumption becomes the weakness of the classical EOQ inventory model. Many items have material changes during a planning period, such as amelioration, deterioration, and growth. This research proposed a new mathematical model. The model relaxes three implicit assumptions of the classical EOQ: (1) the ordered items do not grow; (2) unlimited capacity; and (3) unlimited budget. A solution procedure to solve the model was developed and illustrated with a numerical example. A numerical example was performed to compare the result between the reference model and the new model. The number of ordered items per cycle time increased by 7%, and cycle time increased by 28%. It increased because the proposed model tends to choose large purchased quantities to get a cheap price. It caused the number of ordered items per cycle time to be larger and the cycle time to be smaller than the reference model. This research also provided sensitivity analysis. It showed the response of decision variables to some changes in input parameters.

Page 1 of 1 | Total Record : 8


Filter by Year

2020 2020


Filter By Issues
All Issue Vol. 24 No. 1 (2022): June 2022 Vol. 23 No. 2 (2021): Dec 2021 Vol. 23 No. 1 (2021): June 2021 Vol. 22 No. 2 (2020): December 2020 Vol. 22 No. 1 (2020): June 2020 Vol. 21 No. 2 (2019): December 2019 Vol. 21 No. 1 (2019): June 2019 Vol. 20 No. 2 (2018): December 2018 Vol. 20 No. 1 (2018): June 2018 Vol. 19 No. 2 (2017): Desember 2017 Vol. 19 No. 1 (2017): JUNE 2017 Vol. 18 No. 2 (2016): DECEMBER 2016 Vol. 18 No. 1 (2016): JUNE 2016 Vol. 17 No. 2 (2015): DECEMBER 2015 Vol. 17 No. 1 (2015): JUNE 2015 Vol. 16 No. 2 (2014): DECEMBER 2014 Vol. 16 No. 1 (2014): JUNE 2014 Vol. 15 No. 2 (2013): DECEMBER 2013 Vol. 15 No. 1 (2013): JUNE 2013 Vol. 14 No. 2 (2012): DECEMBER 2012 Vol. 14 No. 1 (2012): JUNE 2012 Vol. 13 No. 2 (2011): DECEMBER 2011 Vol. 13 No. 1 (2011): JUNE 2011 Vol. 12 No. 2 (2010): DECEMBER 2010 Vol. 12 No. 1 (2010): JUNE 2010 Vol. 11 No. 2 (2009): DECEMBER 2009 Vol. 11 No. 1 (2009): JUNE 2009 Vol. 10 No. 2 (2008): DECEMBER 2008 Vol. 10 No. 1 (2008): JUNE 2008 Vol. 9 No. 2 (2007): DECEMBER 2007 Vol. 9 No. 1 (2007): JUNE 2007 Vol. 8 No. 2 (2006): DECEMBER 2006 Vol. 8 No. 1 (2006): JUNE 2006 Vol. 7 No. 2 (2005): DECEMBER 2005 Vol. 7 No. 1 (2005): JUNE 2005 Vol. 6 No. 2 (2004): DECEMBER 2004 Vol. 6 No. 1 (2004): JUNE 2004 Vol. 5 No. 2 (2003): DECEMBER 2003 Vol. 5 No. 1 (2003): JUNE 2003 Vol. 4 No. 2 (2002): DECEMBER 2002 Vol. 4 No. 1 (2002): JUNE 2002 Vol. 3 No. 2 (2001): DESEMBER 2001 Vol. 3 No. 1 (2001): JUNE 2001 Vol. 2 No. 2 (2000): DESEMBER 2000 Vol. 2 No. 1 (2000): JUNE 2000 Vol. 1 No. 1 (1999): JUNE 1999 More Issue