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Rosnani Ginting
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Sumatera utara
INDONESIA
Jurnal Sistem Teknik Industri
ISSN : 14115247     EISSN : 25279408     DOI : -
Jurnal Sistem Teknik Industri (JSTI) of Universitas Sumatera Utara, Faculty of Engineering, Department of Industrial Engineering, was published in 1998. Until now, the number of publications has reached 21 volumes, each of which is published by TALENTA Publisher twice a year . Each volume has two publishing numbers, namely January issue numbers and July issue numbers.
Arjuna Subject : -
Articles 140 Documents
Need Identification on Android-Based Neighborhood Electric Vehicle Dashboard View Using The Kano Model Fajar, Nurhikmah; Wibisono, Muh Arif; Kusuma, Enas Dhuhri
Jurnal Sistem Teknik Industri Vol. 23 No. 2 (2021): JSTI Volume 23 Number 2 July 2021
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v23i2.6388

Abstract

A customer is someone who repeatedly comes to the same place when he wants to buy an item or get service because he is satisfied with the goods or services. Companies must understand the needs and desires of customers in order to satisfy customer needs. Technology that is currently developing is electric cars, especially the Neighborhood Electric Vehicle (NEV) with the application of smartphones. Conventional dashboards can be replaced with smartphones Android-based. Fulfillment of customer satisfaction with smartphone dashboard products is identified by conducting a customer desires survey and categorized it using the Kano model. The survey was conducted on 14 attributes by producing three categories, such as one dimensional, attractive and indifferent. The Android dashboard is built based on survey results instruments. The use of Arduino nano and ESP32 as controllers that process vehicle instrument data sent using Wi-Fi in real time to Android-based smartphones has a maximum error of 5% for speed data.
Risk Mitigation Analysis of Fish Cracker Products Supply Chain Using House Of Risk Method Case Study: Sri Tanjung Cracker Company Derma Fitriani; Asep Erik Nugraha
Jurnal Sistem Teknik Industri Vol. 24 No. 1 (2022): JSTI Volume 24 Number 1 January 2022
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v24i1.6879

Abstract

The Sri Tanjung Cracker Company is an MSME that produces fish crackers. Currently, the Sri Tanjung cracker company lacks structured risk management, particularly in supply chain activities One of the known risks is that companies run out of raw materials, suppliers who ship late, and defective products. The goal of this study was to identify risks and develop appropriate preventive measures to reduce risks in the fish cracker production supply chain. This study maps supply chain operations using the SCOR model then uses the HOR method to classify risks and related mitigation strategies using Pareto diagrams and a probability impact matrix model. The results showed that the HOR phase 1 model comprises 60 risk events, 35 risk agents, and 7 priority risk agents for HOR phase 2 computation. HOR phase 2 shows 4 mitigation strategies that need to be addressed first. To conduct further research, if the suggested action is in the form of preventive action, it is required to quantify the impact of risk reduction and can add variables in the review of risk events, risk agents, and preventive measures to identify supply chain activities at the Sri Tanjung Fish Cracker Company.
Design and Construction of the Triple-Layer Counter Flow Concentric Tube
Jurnal Sistem Teknik Industri Vol. 24 No. 1 (2022): JSTI Volume 24 Number 1 January 2022
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v24i1.7210

Abstract

A heat exchanger is a device that produces the transfer of heat from one fluid to another. The study aims to design and build a concentric three-prototype with counterflow to lower the temperature of the hot fluid. The hot fluid flows in the annular part of the second copper tube, and then the cold fluid flows into the third copper tube each through the first copper tube and the annulus. The hot fluid is water at 60ºC, a 1000-watt water heater is used to heat the fluid, and the cold fluid is air at 25ºC. The total length of the four concentric prototypes is the first 2.57-meter diameter copper tube. The diameter of the second copper pipe is 2.22 m1 inch. The copper pipe is 1.74 m long and 13/4 inches in diameter. The fluid that can be measured by a fluid thermometer in and out of the heat exchanger is the thermocouple, which is then processed by the computer through the installation of data acquisition modules and tracerdag software.
Implementation of Text Mining System Development: A Case Study in Telecommunication Industry
Jurnal Sistem Teknik Industri Vol. 24 No. 1 (2022): JSTI Volume 24 Number 1 January 2022
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v24i1.7526

Abstract

In today's internet age along with the advancement of web technology and its growth, large amounts of data today can be used and utilized to analyze and win the market. Social networking sites such as Twitter are quickly able to get neutral, positive and negative customer opinions and discussions using sentiment analysis methods. In this study the process of classifying sentiments using the Naïve Bayes Classifier method. This method approach provides digital-based surveys and comparative analysis such as machine learning and lexicon-based approaches. The results obtained from research based on data mining surveys there are five main complaints that are the main focus of telecommunications service companies, namely network, convenience, price, internet and services. Sentiment analysis based on test results showed the highest polarity of opinion was in the network at 60.07% and the lowest comfort with a value of 36.63%. The higher the polarity value, the higher the company's chances of making further improvements. The results showed that the development of big data mining systems helped companies to more accurately and effectively meet customer needs and classify sentiment towards products that have been launched.
Marketing Strategy Planning With SWOT Analysis and Quantitative Strategic Planning Matrix (QSPM) at CV. Dex Media Kreasi
Jurnal Sistem Teknik Industri Vol. 24 No. 1 (2022): JSTI Volume 24 Number 1 January 2022
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v24i1.7584

Abstract

The current condition of industrial competition is getting tougher, including in the printing industry. CV. Dex Media Kreasi is a printing company in Karawang. With this competition, CV. Dex Media Kreasi must have a strategy to survive and excel in attracting consumers. This study aims to analyze the best marketing strategy that can be applied by CV. Dex Media Kreasi. The method used is SWOT analysis and QSPM matrix. Based on the results of the SWOT analysis, the IFE value was 2,735 and the EFE was 2,784. Then obtained 12 alternative strategies were obtained from the SWOT matrix which was analyzed using QSPM to obtain priority strategies. Three priority strategies were obtained, namely ST2 Strategy with a TAS value of 5,424. WO3 strategy with a TAS value of 5,373. SO1 strategy with a TAS value of 5,354. The three proposed alternative strategies are Promoting with the help of influencers to increase consumer confidence, Rearranging the process and layout of production machines and regulating the availability of raw materials so that production delays do not occur, as well as establishing cooperation and conducting special promotions to large companies at least is in Karawang Regency.
Impact of Supply Chain Integration on Business Performance: A Review Manik, Donald
Jurnal Sistem Teknik Industri Vol. 24 No. 1 (2022): JSTI Volume 24 Number 1 January 2022
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v24i1.7621

Abstract

Supply Chain method approach has become a resource for companies to build a sustainable competitive advantage in this complex and volatile competitive environment. Numerous recent literature studies on supply. However, comprehensive analysis, clearly identifying the supply chain relationships used and finding the impact of this relationship on supply chain performance are still lacking. Therefore, this research has the main objective to review past studies on the implementation of supply chain in SMEs, as well as to research the literature to analyze how SMEs have implemented supply chain management approaches. To understand the role of supply chains in SMEs conducted a comprehensive literature review, which resulted in the identification and analysis of 20 high quality international journal articles, published between 2017 and 2021 in English. Based on the findings from this literature review, there are methods or frameworks that can be used by researchers to understand the implementation of Supply Chain Integration in business that can improve performance, efficiency, added customer value, or even competitive advantage. Then, the researcher realizes the need to conduct a literature review to see new developments and findings that have appeared in previous studies. The result is a detailed analysis of the main findings and insights obtained.
The PDCA Approach with Seven Quality Tools for Quality Improvement Men’s Formal Jackets in Indonesia Garment Industry : The PDCA Approach with Seven Quality Tools Didin Sjarifudin; Hibarkah Kurnia
Jurnal Sistem Teknik Industri Vol. 24 No. 2 (2022): JSTI Volume 24 Number 2 July 2022
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v24i2.7711

Abstract

Garment production with men's jacket products still finds products with poor quality and a high percentage of defects. The method used in this study is the PDCA approach with seven quality tools. The purpose of this study is to determine the cause of defects, provide solutions to repair these problems by reducing product defects, and reduce the percentage of dominant defects in the Finishing section. This study found that the factors causing the damage were human, machine, method, material, and environmental factors. Meanwhile, improvement efforts are contained in the Action stage, namely 5W+1H. The results of these improvements have an impact on the reduction of finishing defects from 17.8% to 11.8% which means a decrease in defects by 33.7% every month in the finishing section. The implications of this research can be used as a reference to reduce similar problems in the garment industry process. The combination of the PDCA approach and seven repair tools results in a defect percentage control system using a control chart so that defects will be controlled and corrective actions will be taken quickly.
Integration of the HEART and SHERPA Approach to Evaluating Human Errors in the Refinery Salt Production Putri Rammadaniya; Nina Mahbubah
Jurnal Sistem Teknik Industri Vol. 24 No. 2 (2022): JSTI Volume 24 Number 2 July 2022
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v24i2.7755

Abstract

Human error can be prevented by measuring human reliability through the Human Reliability Assessment approach. PT A is a national scale salt producer that produces salt. The quality division identifies human error problems made by operators in the salt refining process. This study aims to identify, calculate probability values, and provide recommendations for improvement to reduce human error in salt refining production operators. HEART and SHERPA are research approaches used because they are considered the most suitable for this study. The results showed that the most visible human error for the error mode category was C2, incomplete checking, and 42 error modes because the operator infrequently did a complete check. The process with the highest Human Error Probability value is the drying process 1, with a value of 7.49. In contrast, the process with the most minor Human Error Probability value score of 0.085 is the bagging process 2. Human error prevention efforts are carried out for each process based on the highest score on the Human Error Probability Index, including Personal Protective Equipment, Standard Operating Procedures, and training to improve operator skills.
Analysis of Social Distancing Variables to Prevention of Positive Cases of Covid-19 Using Path Analysis Method Welly Atikno; Hibarkah Kurnia; Indra Setiawan; Bambang Setiawan; Bayu Hari Nugroho; Muhammad Wahid
Jurnal Sistem Teknik Industri Vol. 24 No. 2 (2022): JSTI Volume 24 Number 2 July 2022
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v24i2.8499

Abstract

Prevention of Covid-19 is important for research in order to reduce positive cases that occur in Indonesia. One of the popular research is using analytical method. The purpose of this study was to determine the relationship between work activity behavior, government and community regulations and social distancing as a mediator in preventing an increase in Covid-19 cases in West Java. This research method uses path analysis model. Social distancing variables directly have a positive and significant impact on preventing positive cases of Covid-19, meaning that with social distancing the spread of the Covid-19 virus can be reduced. The effect of social distancing on the prevention of positive cases of Covid-19 is 87% and the remaining 13% is due to the influence of other factors. Based on the four variables used as predictors of the prevention of Covid-19 cases, the social distance variable is the strongest variable that affects the prevention of positive cases of Covid-19 compared to the other three variables. Social distancing is very important to reduce the spread of Covid-19 cases. The implication of this research shows that awareness of people's behavior by keeping a distance is very important to prevent the Covid-19 virus.
The Effect of Work Discipline on Employee Productivity: Employee Productivity FRISKA JULIANA HUTAURUK; Rahim Matondang; Sugiharto Pujangkoro
Jurnal Sistem Teknik Industri Vol. 24 No. 2 (2022): JSTI Volume 24 Number 2 July 2022
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v24i2.8500

Abstract

The workforce has an important role in increasing production at PT. XYZ. The contribution of labor is interpreted into the resulting productivity. Therefore, it is important to know what variables can affect labor productivity. in this study using work discipline variables to see its effect on employee productivity. The results obtained that work discipline has a positive and significant effect on employee productivity, which is 66.70%. and 33.30% possibility of being influenced by other variables not included in this case.

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