Indonesian Journal of Industrial Engineering & Management
The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on industrial engineering and management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization. Indonesian Journal of Industrial Engineering & Management is published under the auspices of Universitas Mercu Buana. The main purpose of Indonesian Journal of Industrial Engineering & Management is to publish the results of cutting-edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing and services. Papers presenting original research results related to industrial engineering and management education are also welcomed.
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<![CDATA[Readiness Analysis of Politeknik STMI Jakarta Towards Implementation and Certification of ISO 21001:2018 ]]>
<![CDATA[Laksmi Ambarwati]]>;
<![CDATA[Emi Rusmiati]]>;
<![CDATA[Siti Aisyah]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 4, No 2: June 2023 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v4i2.20145
<![CDATA[Higher education has great demands and responsibilities to ensure their student graduates as highly competent human resources. Thus, effective and efficient management is required for higher education’s business process. To ensure their quality in process and result, compliance with national regulations and standards related to higher education is a must, and quality conformity with international standards is also one of the efforts of higher education institutions to improve their quality and competitiveness. ISO 21001:2018 is one of the international standards and best practice management systems for educational organizations that are widely used by various higher education institutions in the world. Considering Politeknik STMI Jakarta’s vision for resulting competent human resources, and that it is not yet certified by ISO 21001: 2018, this study is conducted to know the extent of readiness of Politeknik STMI Jakarta towards implementation and certification of ISO 21001:2018. The method used is the gap analysis method between conditions existing in Politeknik STMI Jakarta to ISO 21001:2018 standard. The results showed that the level of readiness of Politeknik STMI Jakarta is 88.85% which showed that the implementation of the clause requirements is mostly carried out but not consistently. The conclusion that can be drawn from the research is that Politeknik STMI Jakarta is ready to implement and carry out ISO 21001: 2018 certification.]]>
<![CDATA[Quality Control of Edamame Products Using Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA) Methods in PT. XYZ ]]>
<![CDATA[Fenny Novianti]]>;
<![CDATA[Rr. Rochmoeljati]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 4, No 2: June 2023 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v4i2.20550
<![CDATA[PT. XYZ is a company engaged in the frozen food processing industry. One such product is Edamame. In the Edamame production process, defects such as pest defects, color defects, pod defects and mechanical defects that affect quality are still found. The purpose of this study was to determine the proportion of defects that most often occur and the factors that cause defects and to provide suggestions for improving the quality of edamame. The methods used are Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA). The SQC tools include check sheets, statistics, histograms, pareto charts, scatter diagrams, control charts, and fishbone diagrams. Then continue the FMEA analysis for suggestions for corrective action. Based on the results of research on Statistical Quality Control (SQC) it is known that the most dominant defects in edamame are pests (39.9%), then color (25.5%), pods (25.2%), and mechanics (9.4%) ). Based on the results of research on Failure Mode Effect Analysis (FMEA) it is known that the highest cause of problems with RPN 360 is lack of sanitation. Suggestions for improvement that can be proposed namely. Scheduling cleaning of the work environment area and sterilizing production machines and equipment.]]>
<![CDATA[Relayout of Palm Coconut Factories in West Sumatera ]]>
<![CDATA[Demi Ramadian]]>;
<![CDATA[Tosty Maylangi Sitorus]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 4, No 2: June 2023 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v4i2.19542
<![CDATA[One of the plantation companies and palm oil mills in West Sumatera is part of the group and makes a positive contribution. In one of the palm oil factories in West Sumatra, there is a problem with the flow of the work process, where there is an accumulation of products of different sizes in the factory area. This hinders the product transfer process. In addition, this situation will affect the use of the land area. Therefore, it is necessary to consider how to make or change the layout of facilities more effectively and efficiently. An activity Relationship Chart will be used as a method to make recommendations for the layout design of palm coconut factories. The flow of the crude palm oil production process from the proposed layout design weighs the car and bunches of fresh fruits before heading to isolation until the bunches of ripe fruits are stored in the storage tank before being transferred to the transport car. Based on the proposed layout redesign, the management of the oil palm mill can consider improving the placement of the area in the boiler station, as well as the placement of production not too far from the production process.]]>
<![CDATA[Performance Measurement Supply Chain Management (SCM) Using the Supply Chain Operation Reference (SCOR) Method at PT X ]]>
<![CDATA[Alfi Hidayati]]>;
<![CDATA[Farida Pulansari]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 4, No 2: June 2023 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v4i2.20506
<![CDATA[In the world of the fertilizer industry in Indonesia, there are some of problems in the process of planning, procurement and, delivery of materials that adversely affect the company's operations. One approach to fixing this problem is to use a SCOR strategy that is effective in improving the supply chain. PT. X is one of the fertilizer companies whose current condition is that there are problems in planning to meet the needs for production supporting materials so which has the potential to hinder fertilizer production. This is because PT X has not carried out an analysis that hinders demand planning or the supply chain as a whole. Thus, researchers can measure the value of effectiveness in the supply chain to improve targets that have not been achieved. In this research, a scoring method called SCOR was used which included AHP weighting. Fifteen key performance indicators (KPI) were generated based on the five SCOR model indicators used in processing, namely data plan, source, make, delivery, and return. With a final score of the SCM performance level of 86.872, which is included in the Good category. However, this value can still be improved so that it is included in the excellent category, namely >90. So inecessary to identify KPI indicators that have performance values that are not yet optimal, and to make suggestions for improvements to increase PT X SCM performance values.]]>
<![CDATA[The Influence of Leadership Style, Work Stress, and Work Motivation on Employee Loyalty to PT. Hartono Palace of Technology ]]>
<![CDATA[Johanis Souisa]]>;
<![CDATA[Teguh Ariefiantoro]]>;
<![CDATA[Susanto Susanto]]>;
<![CDATA[Asih Niati]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 4, No 2: June 2023 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v4i2.20163
<![CDATA[This study aims to analyze the effect of style, leadership, work stress, and work motivation on employee loyalty at PT. Hartono Istana Teknologi. This study uses the variables of leadership style, work stress, and work motivation as independent variables and employee loyalty as the dependent variable.The population of this study were warehouse employees at PT. Hartono Istana Teknologi with a population of 435 employees. With a sample of 81 employees using purposive sampling method (sample with criteria). The data analysis method used in this research is multiple linear regression.The result of this study prove that the leadership style variable has a positive significant influence on employee loyalty, the work stress variable has a positive significant influence on employee loyalty, work motivation has a positive significant influence on employee loyalty. ]]>
<![CDATA[Analysis of Service Quality Measurement at Vocational Higher Education with the Higher Education Performance Method (HEdPERF) and Importance Performance Analysis (IPA) ]]>
<![CDATA[Tita Latifah Ahmad]]>;
<![CDATA[Sherly Ayu Wardhani]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 4, No 2: June 2023 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v4i2.20202
<![CDATA[Higher Education Institutions (HEIs) need to possess and maintain a competitive advantage to effectively compete with other HEIs, and one of the ways to achieve this is by providing quality services. This study aims to measure service quality at Vocational Higher Education using the HEdPERF framework. The researchers add an indicator regarding an important aspect of vocational education. That is the alignment of the skills acquired by students during their internship with the actual job obtained, as a difference with other studies. The data analysis uses the IPA method. Out of the 47 indicators of service quality, there are 5 indicators in Quadrant A (Concentrate here) which are top priorities in formulating improvement strategies that consist of Teachers' Profile (Communication Skill) factors, Management Support factors (Safety Equipment and Administrative Work) and Facilities factors (Supporting Facilities). There are 24 indicators in Quadrant B (Keep Up The Good Work), 8 indicators in Quadrant C (Low Priority), and 10 indicators in Quadrant D (Possible Overkill). Some of the recommended improvement strategies are implementing lecturer creativity in learning, increasing lecturers competence in teaching communication, providing fast and easy administrative services, organizing safety training, reducing class capacity, renovating buildings, completing class needs, and doing routine chair maintenance.]]>
<![CDATA[PDCA Method Implementation to Reduce the Potential Product Defects in the Automotive Components Industry ]]>
<![CDATA[Fredy Sumasto]]>;
<![CDATA[Cantika Puspa Maharani]]>;
<![CDATA[B. Handoko Purwojatmiko]]>;
<![CDATA[Febriza Imansuri]]>;
<![CDATA[Siti Aisyah]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 4, No 2: June 2023 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v4i2.19527
<![CDATA[The research aim to reduce the potential for product defects in the automotive component industry by implementing Plan-Do-Check-Action (PDCA). The application of the PDCA method was carried out in an automotive component manufacturing company in Indonesia which produced SLJ 91 parts as a research object. The causes of the high number of product defects are known at the Plan stage from setting the theme of improvement to the root cause by using a fishbone diagram and 5W+1H analysis. In the Do stage, system improvements are implemented from the solutions generated by the 5W+1H analysis. The repair results are controlled to confirm the results of the repairs made. The corrective actions taken resulted in a reduction in product defects of 2.8% so that they were included in the maximum tolerance for the number of defects in the SLJ 91 part. Based on the results of data processing, analysis, and comparison between before and after implementation, it was found that the defect rate for SLJ 91 products was reduced from 10.8 % to 8%, a reduction in the percentage of 2.8% so that the product reaches the quality target it should be. The results of the repair had a direct impact on the type of dent defects, namely a decrease in the number of defects from 8.6% to 5.3%, so that there was a decrease of 3.3%. The results of the research are implemented and standardized in the action stage so that the improvements made can be maintained in the long term.]]>
<![CDATA[Determination of the Shortest Distribution Routes to Minimize Fuel Consumption and CO2 Emission Using Sweep and Clarke & Wright Saving Algorithms ]]>
<![CDATA[Riski Arifian]]>;
<![CDATA[Farida Pulansari]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 4, No 2: June 2023 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v4i2.20493
<![CDATA[Nowadays, one of the areas in the field of vehicle routing problems that have received a lot of attention is Green Vehicle Routing Problem (GVRP). GVRP aims to harmonize the financial aspects and environmental concerns while routing vehicles. This research takes a case study at PT. LISA CONCRETE INDONESIA is a company engaged in the concrete industry with various precast concrete products. One of the company's main products is U-Gutter which recorded the highest sales in the company in 2022 with sales of 14,000 tons. According to the high demand for these products, it can be confirmed that the distribution activities to customers are also increased which have a negative impact on the environment. In this research, classical heuristics namely Sweep and Clark & Wright saving algorithm are used. Both of these methods will be implemented using Microsoft Excel software to determine the shortest distribution routes to deliver products to customers in PT. LISA CONCRETE INDONESIA and also to minimize fuel consumption and CO2 emission. The result shows that Clark & Wright saving algorithm is 11,49% better than the Sweep algorithm and also 43,23% better than the company/existing method to minimize fuel consumption and CO2 emission.]]>
<![CDATA[Risk Analysis of Occupational Health and Safety Using Hazard Identification, Risk Assessment and Risk Control (HIRARC) Method (Case Study in PT Barokah Galangan Perkasa) ]]>
<![CDATA[Andi Giovanni]]>;
<![CDATA[Lina Dianati Fathimahhayati]]>;
<![CDATA[Theresia Amelia Pawitra]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 4, No 2: June 2023 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v4i2.20398
<![CDATA[PT Barokah Galangan Perkasa is a company located in East Kalimantan that is engaged in the manufacturing, repair, and maintenance of ships. The welding activity is the most dominant in shipbuilding, but the implementation of the occupational health and safety (OHS) system is not optimal. There have been several work accidents in the upper accommodation and cargo oil tank areas, such as falling from a height, being hit by welding sparks, and an electrical short circuit. The working conditions in this area are quite risky. Therefore, research on risk analysis is needed. HIRARC is a method for identifying a problem that is assessed at risk based on the likelihood and severity where the results of the assessment can determine the level of risk and give risk control for each work activity. Research results show that there were 40 potential hazards in the upper accommodation area with 77% low risk level, 12% moderate risk level, 8% high risk level, and 3% very high risk level. While in the cargo oil tank area there was 37 potentials hazard with 84% low risk level, 13% moderate risk level, and 3% high risk level. By knowing the risk level, companies can identify work activities that require prioritized improvement. They can also determine appropriate control to prevent the occurrence of such risks. Risk control in the upper accommodation area can be achieved through the implementation of administrative controls, utilization of PPE, and technical engineering controls. ]]>
<![CDATA[Foraging Bee Optimization Algorithm ]]>
<![CDATA[Ebun Phillip Fasina]]>;
<![CDATA[Babatunde Alade Sawyerr]]>;
<![CDATA[Shuaibu Babangida Alkassim]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 4, No 2: June 2023 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v4i2.20275
<![CDATA[Honey bee colonies depend on pollen and nectar from flowers for their feed. The act of searching for this flowers by the bees is called foraging. The foraging behaviour of bees depends on the profitability of nectar and pollen sources as well as the needs of the colony. This behaviour is modeled into an algorithm called Foraging Bee Optimization Algorithm (FBA). After initialization, the algorithm loops through three phases based on bees’ nature foraging behaviour called the 3W: Waggle, Work, and Withdraw. A large number of flowers are initialized randomly in the problem space. During the waggle phase, bees are recruited to patch with profitable nectar sources. In the work phase, new flowers are discovered and memorized by bees. In the withdraw phase bees eliminate unprofitable flowers and recalibrate for recruitment. The proposed FBA is tested on three unimodal and twelve multimodal benchmark. The result is compared with two state-of-the-art natured-inspired optimization algorithm.]]>
