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INDONESIA
Jurnal Teknik Industri
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.
Arjuna Subject : -
Articles 11 Documents
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Search results for , issue "Vol. 23 No. 2 (2021): Dec 2021" : 11 Documents clear
An Analytical Network Process for Selecting Raw Material Suppliers of UNP100: A Case Study Kirana Rukmayuninda Ririh; Desinta Rahayu Ningtyas; Fikri Taufiq Rahman
Jurnal Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.129-138

Abstract

A UNP-100 is a canal iron that connects the storage area (bin) to the frame of a truck. Therefore, the selection of UNP-100 suppliers is an essential process. Suppliers are chosen to provide high-quality materials, in-time deliveries, affordable prices, and excellent services, the applied analytical network process (ANP) in this study. The quantitative method is conducted through questionnaires, and the qualitative method is by interviews. After distributing the questionnaires, calculations are carried out to assess suppliers by constructing an ANP supermatrix. The respondents are the purchasing managers, the quality managers, and the PPIC managers. The criteria to choose suitable suppliers are packaging (0.060), price (0.212), customer care (0.712), delivery (0.103), and quality (0.351). The prioritized UNP-100 suppliers are PT. KPPE (0.346), PT. KPS (0.344), and PT. SME (0.31).
Optimization Model for Agricultural Processed Products Supply Chain Problem in Bandung During Covid-19 Period Athaya Zahrani Irmansyah; Diah Chaerani; Endang Rusyaman
Jurnal Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.83-92

Abstract

Coronavirus disease, commonly called Covid-19, is a virus that causes a pandemic in almost every country globally. One of those countries is Indonesia, which has many big cities with dense populations. This study was conducted in Bandung, the capital of West Java, Indonesia. As a result of the Covid-19 pandemic, Bandung was seriously affected in various ways. One was the disruption in the distribution of the agricultural processed products supply chain, which changes producers and consumers' behaviour. Furthermore, as an effort by the government to break the spread of the virus, health protocols limit the distribution. The purpose of this study is to design an optimization model for the supply chain problem of agricultural processed products in Bandung during the Covid-19 period with the objective function is maximizing product suppliers so that all demands on consumers are fulfilled. The use of Local Food Hub (LFH) is a help in this research as a distribution centre point between the producer zone and the consumer zone. Finally, numerical experiments were carried out in two scenarios, namely Large-scale Social Distancing (LSD) and Partial Social Distancing (PSD). It was found that the optimal distribution solution was obtained if the PSD scenario was applied.
The Effect of Natural Buffer on Biohydrogen Production Miftahul Choiron; Seishu Tojo; Tadashi Chosa
Jurnal Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.121-128

Abstract

Hydrogen is the promising ideal energy carrier with no emission but water on its combustible in the next generation. Hydrogen production using biological methods is greener than other methods using fossil fuel. One of the major factors affecting the operation of biohydrogen production is pH level in bioreactors. Restrain of declining pH is expected to increase hydrogen production. Pretreatment is one key factor in successful biohydrogen fermentation using mixed microbes. This study aims to investigate the natural buffer effect on biohydrogen using hot compressed water pretreatment. This batch fermentation experiment was operated in a 110 mL glass reactor with 3.75 g/L glucose as substrate. Mixed culture was obtained from cow dung compost treated with hot compressed water pretreatment at 150 ºC, 0.5 MPa for 40 minutes. Fine dried eggshell powder and calcinated eggshell were added with 1 g/L, 3 g/L, and 5 g/L concentrations as buffer agents. The result showed that the addition of 1 g/L eggshell obtained the highest hydrogen production rate of 0.92 mol H2/mol glucose. Butyric acid and acetic acid are recognized as an indicator of hydrogen production and the Butyric/Acetic molar ratio over 2.6 as efficient biohydrogen fermentation. The highest B/A ratio in this experiment was 4.62 on 3g/L addition of eggshell powder.  
The Development of Order Quantity Optimization Model for Growing Item Considering the Imperfect Quality and Incremental Discount in Three Echelon Supply Chain Indah Valentinova Sitanggang; Cucuk Nur Rosyidi; Azizah Aisyati
Jurnal Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.101-110

Abstract

This research develops an optimization model for determining the order quantity for growing items by considering the imperfect quality and incremental discount by involving three supply chain members: farmers, processors, and retailers. The farmers are responsible for caring for the newborn items until they reach their ready-to-eat weight. The processors perform two roles, namely processing and screening. In the processing role, the processors process the grown items by a slaughtering and packaging process. Afterward, they inspected the processed items and categorized the items into good and poor quality. Finally, they shipped the end products to retailers. The retailers are responsible for selling good-quality items to the final consumers.  This research considers two kinds of poor quality. First is the poor quality of growing items in terms of mortality rate. The second is the poor quality of final products on the processor side. The processed items with poor quality are then sold to the secondary market at lower prices in one batch at the end of the period. This model also considers the incremental discounts offered by vendors to farmers and retailers to consumers for specific amounts of purchases. The model's objective function is to maximize the total supply chain profit, with the number of orders quantity, cycle time, and the number of batches delivery set as the decision variables. The sensitivity analysis results show that the most sensitive parameter in the model is the probability that the live items survive throughout the growth period.
Reducing Shrinkage and Stockouts in a Food Retail Store: A Portuguese Case Study Pedro Alexandre Marques; André Mendes de Carvalho
Jurnal Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.93-100

Abstract

Lean thinking is transforming the traditional way of a retail business operates to new and more effective practices. In particular, the food retail business is facing previously unseen challenges which require daily operational excellence to meet them with success. Low productivity, high variability in task completion, lack of work planning should be faced with daily relentless improvement actions. Kaizen, the continuous improvement pillar of Lean, needs to be seen not only as a methodology but also as a philosophy, a vision that needs to be written on everyday actions and personified by each individual. This paper describes an improvement event in the fresh food markets, specifically in the cold meat section, meant to decrease the shrinkage rate as well as the number of out-of-stock (OOS) situations. The methodology adopted followed the seven-step problem-solving procedure provided by the A3 thinking tool.
Tacit Knowledge and Product Information about the Environmental Impact towards the Purchase Intention of Electric Motorcycles Agung Pramajaya; Jony Oktavian Haryanto
Jurnal Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.149-160

Abstract

In recent years, Indonesia has started to adopt electric motorcycles (EMCs), but until 2019 the market share of electric vehicles (EVs) was only around 0.05%. This figure is far from the target set by the Ministry of Industry of a 20% market share in 2025. This quantitative research was conducted to get a novel picture of what potential customers think about EMC products. The proposed model used structural equation modelling with SmartPLS-3 over 300 respondents. The research found that detailed product information positively and significantly influences consumer attitudes toward adopting EMCs. Tacit knowledge also positively and significantly influences consumer attitudes toward the environment. Furthermore, tacit knowledge directly affects the purchase intention of EMCs with a significant and positive value. As the mediating variable, consumer attitudes towards the environment have no mediation effect toward purchase intention. These findings are expected to increase the public’s knowledge and awareness of the environmental impact in determining which EMC products are more environmentally friendly than others. Here, environmentally friendly means the absence of direct emissions on vehicle exhaust and the total direct and indirect emissions.
Utilizing Elbow Method for Text Clustering Optimization in Analyzing Social Media Marketing Content of Indonesian e-Commerce Aisyah Larasati; Raretha Maren; Retno Wulandari
Jurnal Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.111-120

Abstract

The massive increases in textual data from Twitter and text analytics simultaneously have driven organizations to obtain hidden insights to implement the proper marketing strategies for businesses. The vast information generated by Twitter enables most e-commerce businesses to utilize Twitter to implement social media marketing. One of those e-commerce businesses is Blibli Indonesia. Intense business competition has led them to perform marketing strategies to understand consumer tendencies. Focusing the marketing strategies on consumer preferences enables the increase of consumer interest in Blibli, which is in line with enhancing the opportunity to reach new consumers. This research aims to discover Twitter content based on k-means results to cluster the tweets of @bliblidotcom. The best cluster is determined with the elbow method by selecting the deepest curvature, three clusters. The result suggests that Twitter users like Park Seo Jun's content. Hence, Blibli can focus on that content as its business marketing strategy on the Twitter platform.
A Multi-Item Probabilistic Inventory Model that Considers Expiration Factor, All Unit Discount Policy and Warehouse Capacity Constraints Roland Y. H. Silitonga; Leo Rama Kristiana; Tabita Anette Parley
Jurnal Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.139-148

Abstract

The characteristics considered in this study are probabilistic demand, perishable products, and warehouse constraints for multi-item inventory models. This condition occurs in several industries that consider perishable factors and warehouse constraints, namely companies that produce food, food sales agents, and retail that sell goods to end customers. The Karush-Kuhn-Tucker Condition approach was used to solve the warehouse capacity problem to find the optimum point of a constrained function. The results of the developed inventory model provide two optimal ordering times, namely ordering time-based on warehouse capacity and joint order time, and the two ordering time values ​​will be compared to determine which ordering time is optimal. In addition, the sensitivity analysis to the model was done to analyse the total inventory costs in a planning horizon, the time between goods ordering from one cycle to the next cycle, and the number of items that will expire. The parameters to be changed for the sensitivity test were warehouse constraint, a fraction of good condition goods, holding costs per unit per period, and all unit discount factors. The sensitivity analysis was done to see the behaviour of the total cost, time to order changes, and the quantity of perished products. The result of model testing and sensitivity analysis showed that total cost, based on joint order, is sensitive to the fraction of good condition products, discount, and holding cost.  The joint order was not sensitive to the warehouse capacity. In general, the model was perceived as able to describe the behaviour of the model components.
Solving Multi-Objective Paired Single Row Facility Layout Problem Using Hybrid Variable Neighborhood Search Meilinda Fitriani Nur Maghfiroh
Jurnal Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.171-182

Abstract

The footwear industry is distinguished by its manual assembly line and a high proportion of shared workstation configuration. This study focuses on a subset of the single row facility layout problem known as the paired single row facility layout problem. As one of type of single-row facility layout, the paired single row facility layout problem cannot be solved quickly. Further, different objectives also need to be considered in the decision-making process. Therefore, multi-objective approaches are proposed to minimize the penalty of material handler usage while maximizing the adjacency function based on each workstation's closeness rating. A Single Row Facility Layout is an NP-hard problem; this problem also belongs to the NP-hard problem class. As a result, we propose a hybrid method combining variable neighborhood search (VNS) and genetic algorithm (GA) to solve the problem of obtaining the optimal configuration of a multi-objective paired single-row assembly line. A heuristic approach was used to create the schematic representation solution. To obtain the neighborhood solutions, a hybrid VNSGA was used. The schematic representation solution employs crossover and variable neighborhood descent. Using the concept of VNS, the neighborhood was changed in each generation.
Comparison Study of Neighborhood Structures in Local Search for Vehicle Routing Problem with Multiple Trips and Time Windows Saskia Puspa Kenaka; Suprayogi Suprayogi
Jurnal Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.161-170

Abstract

This paper deals with the vehicle routing problem with multiple trips and time windows (VRPMTTW). The problem combines two features to the basic vehicle routing problem (VRP): multiple trips and time windows. The basic VRP and its variants fall into hard combinatorial optimization problems. Therefore, many heuristics have been developed to solve large problems. Local search (LS) is one of the heuristics using a neighborhood structure in order to find a better solution. This paper focuses on the comparative study of neighborhood structures applied in LS for the VRPMTTW. Two classes of neighborhood structures are compared: Tour-based and permutation-based neighborhood structures. The tour-based neighborhood structures are the neighborhoods in which the moves are performed on the solution represented by a set of tours. The permutation-based neighborhood structures are the neighborhood structures in which the moves are carried out on the solution represented by a permutation of customers. Comparing the performance of the neighborhood structures uses two responses: (1) relative improvement in the objective function value and (2) computation time. The first response is used to measure effectiveness, while the second is used as efficiency. Based on the computational experiment results, it is generally revealed that the permutation-based neighborhood structures used in LS are more effective than the tour-based neighbourhood structures. However, the permutation-based neighborhood structures are less efficient because they give higher computation times.

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