A. Ridwan, Apriansyah Nuroni, A. Adelia, Atia Sonda
{"title":"Analysis of occupational health and safety at a maritime warehouse using Hazard Identification, Risk Assessment and Risk Control (HIRARC)","authors":"A. Ridwan, Apriansyah Nuroni, A. Adelia, Atia Sonda","doi":"10.36055/jiss.v8i2.17293","DOIUrl":"https://doi.org/10.36055/jiss.v8i2.17293","url":null,"abstract":"This study aims to identify and determine risks and risks using the Hazard Identification Risk Assessment and Risk Control (HIRARC) method. By conducting prior monitoring and interviewing workers to find out the risks and impacts experienced by workers. Making a HIRARC table by assessing each aspect of hazards, work risks and controls that have been carried out and classifying controls based on 5 hierarchies. Data processing is conducted by analyzing the potential hazards with the HIRARC method. This study identified 12 potential hazards at Gandasari Energy. The findings of 12 risks can be carried out by risk with a hierarchy where there are 5 risk control efforts, including elimination, substitution, engineering control, administrative control, and personal protective equipment. Of the 12 potential hazards, many workers still do not use Personal Protective Equipment (PPE). The importance of PPE is to minimize the occurrence of work accidents.","PeriodicalId":111822,"journal":{"name":"Journal Industrial Servicess","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125022219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Risk management analysis in electrochlorination plant using House of Risk","authors":"Shanti Kirana Anggraeni, Nuraida Wahyuni, Desi Ramdhani","doi":"10.36055/jiss.v8i2.17296","DOIUrl":"https://doi.org/10.36055/jiss.v8i2.17296","url":null,"abstract":"XYZ Corp. is a petrochemical company with several Electrochlorination Plants (ECP) to produce chlorine. ECP is a room with a high risk because there can be a buildup of hydrogen gas in the ECP room, which can cause an explosion. Therefore, it is necessary to carry out risk analysis in activities at ECP to mitigate possible risks or disturbances. The purpose of this study is to identify risks and risk agents as well as risk agents that are prioritized in the Electrochlorination Plant (ECP), using the House of Risk (HOR) method, which consists of 2 phases. The first phase is identifying risk events and agents, which are then measured on the severity and occurrence levels and calculating the Aggregate Risk Priority (ARP) value. This study found that 17 risk events and 11 selected risk agents must be prioritized to be resolved. They contribute to an 80% cumulative value of the highest Aggregate Risk Potential (ARP), which means it has the most significant influence on daily operations. Therefore, the company must overcome this by taking preventive steps to minimize or eliminate the source of the risk.","PeriodicalId":111822,"journal":{"name":"Journal Industrial Servicess","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125340617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Atia Sonda, B. Kurniawan, Faula Arina, D. L. Trenggonowati, Asep Ridwan, Maria Ulfah, P. F. Ferdinant, A. Bahauddin
{"title":"A hybrid modified Bat Algorithm with Dynamic Spiral Method for solving mixed integer non-linear programming optimization","authors":"Atia Sonda, B. Kurniawan, Faula Arina, D. L. Trenggonowati, Asep Ridwan, Maria Ulfah, P. F. Ferdinant, A. Bahauddin","doi":"10.36055/jiss.v8i2.17315","DOIUrl":"https://doi.org/10.36055/jiss.v8i2.17315","url":null,"abstract":"Most optimization problems in engineering are nonlinear, with many constraints. Consequently, finding optimal solutions to such nonlinear problems requires efficient optimization methods. Most of the methods used so far are gradient-based methods. In gradient-based methods, the objective function must be differentiable, and the search for the optimum solution usually starts with a guess-point. For multimodal objectives, the search will likely get stuck at a local optimum. Nowadays, new metaheuristic methods are being developed for solving nonlinear optimization problems. Metaheuristic methods neither require a guess-point nor a derivative of the objective function. Metaheuristic methods, called Bat Algorithm and Spiral Dynamic Method, have been developed for solving optimization problems. Each of the methods has the strength to solve the problem. We propose combining Bat Algorithm (BA) and Dynamic Spiral Method (DSM) for solving mixed integer optimization. The bat Algorithm is used for the exploration stage to find some candidate solutions. Meanwhile, the dynamic spiral method is used in local search to find the best optimum solution. The result obtained by Bat Algorithm-Dynamic Spiral Method (BA-DSM) were more effective than the standard Bat Algorithm in solving the problem.","PeriodicalId":111822,"journal":{"name":"Journal Industrial Servicess","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123072746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Herlina, N. M. Dewantari, Atia Sonda, Moch. Rizky Mulyana
{"title":"Hazard identification in fabrication industry using Hazard Identification and Risk Assessment (HIRA) and Job Safety Analysis (JSA)","authors":"L. Herlina, N. M. Dewantari, Atia Sonda, Moch. Rizky Mulyana","doi":"10.36055/jiss.v8i2.17112","DOIUrl":"https://doi.org/10.36055/jiss.v8i2.17112","url":null,"abstract":"Mild steel roofing is increasingly being used in simple construction processes. Prima Land Company dominates the lightweight steel roof market share in Pandeglang. However, accidents can come in its manufacturing process, and the potential hazards have yet to be fully measured. Therefore, this study aims to identify, assess, and provide risk control to prevent and reduce work accidents at Prima Land Company. The methods used are Hazard Identification and Risk Assessment (HIRA) and Job Safety Analysis (JSA). HIRA is used to identify the hazard in the mild steel roofing process area, whereas JSA is used to identify hazards in forklifts and lift operations. The results showed that eight activities have potential risks in manufacturing lightweight steel roofs and 16 risks in operating forklift machines and finished loading goods into vehicles. In the HIRA method, the risk category assessment is uniform. However, the highest risk of 38% is extreme risk for sand sprinkling activities, untied and closed plug cables or switches, and transfer of coil raw materials.","PeriodicalId":111822,"journal":{"name":"Journal Industrial Servicess","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128015467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Umyati, Selli Yanasari, N. Wahyuni, A. S. Mariawati
{"title":"Measuring the impact of practicum schedule and mental workload on stress levels in hybrid learning: A case study in Physics practicum","authors":"A. Umyati, Selli Yanasari, N. Wahyuni, A. S. Mariawati","doi":"10.36055/jiss.v8i2.17312","DOIUrl":"https://doi.org/10.36055/jiss.v8i2.17312","url":null,"abstract":"The Physics Laboratory of the Faculty of Engineering, University of Ageng Tirtayasa, has implemented hybrid learning-based learning after the Covid-19 pandemic abated. Students admitted to online practicum the previous semester said they felt depressed and overthinking while participating in the physics practicum. The assignments and report must be handwritten after they watch a video explanation of the experimental procedure. The internet network condition is also an obstacle for online practicum. Based on these problems, examining the impact of hybrid learning-based learning in shift practicum and mental workload on stress levels was necessary. This study aims to identify the mental workload experienced by online and offline participants in the Physics Laboratory practicum. The advantage of this study is to review two practicum methods, online and offline practicum. The research instruments used to measure the mental workload and stress level experienced by students are NASA-TLX and DASS-21, respectively. The results showed a simultaneous influence between shift practicum and mental workload on stress levels. The mental workload on the stress level of online and offline practice is significantly different. However, the shift of practicum to the stress level of online and offline practice is similar — the mental workload of online and offline practice in the dominant medium and heavy categories. Heavy and normal categories dominate stress levels. The dominant mental workload factors are effort, frustration, and physical demand.","PeriodicalId":111822,"journal":{"name":"Journal Industrial Servicess","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132035767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nuraida Wahyuni, Shanti Kirana Anggraeni, Gilang Restu Saepudin
{"title":"Interior design marketing strategy using SWOT analysis","authors":"Nuraida Wahyuni, Shanti Kirana Anggraeni, Gilang Restu Saepudin","doi":"10.36055/jiss.v8i2.17297","DOIUrl":"https://doi.org/10.36055/jiss.v8i2.17297","url":null,"abstract":"The Covid pandemic has been successfully overcome. Estimates of the weak world economy have also been predicted. However, it is noted that the need for housing continues to increase. Along with the increasing need for residential homes, interior design services also increased. This increase is because people need a comfortable place to live. Especially with the house offering a limited area, a compact interior design is needed. Therefore, the offer of interior design services is increasingly widespread. Warna Dipa, as one of the interior service providers, requires a marketing strategy for the company to compete with its competitors. This study aimed to obtain a marketing strategy for Warna Dipa using a SWOT analysis. This study performed direct observation on the ground and interviews with the management of Warna Dipa to collect the data. The data was collected from internal and external factors of the company. The results show tactical and development strategies for Warna Dipa. Tactical strategies include using social media to expand marketing reach, collaborate with furniture providers, and increase product prototypes.","PeriodicalId":111822,"journal":{"name":"Journal Industrial Servicess","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124698173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Shared-storage layout for redesigning the damaged-goods warehouse","authors":"Yudi Sukmono, Taufiq Qurrahman, F. D. Sitania","doi":"10.36055/jiss.v8i2.16726","DOIUrl":"https://doi.org/10.36055/jiss.v8i2.16726","url":null,"abstract":"The Faculty of Engineering, Mulawarman University's equipment warehouse is divided into the office-stationery warehouse and the damaged-goods warehouse. Office-stationery warehouse stores office stationery, spare parts, and consumables. Meanwhile, the warehouse for damaged goods stores various damaged goods such as furniture, Personal Computer (PC) components, electronic goods, and laboratory equipment. The problem with the warehouse is that many items need to be better organized so they cannot be classified between furniture items, PC components, electronics, and laboratory equipment. Then another problem is the difficulty in collecting inventory data at the Faculty of Engineering, Mulawarman University. Therefore, this study proposes improvements to the warehouse ’s layout that is more efficient in storing goods in the damaged-goods warehouse. The method used in this study is shared storage, where fast-moving goods are stored in a storage area near the entrance and exit. The results from the shared storage method show that the damaged warehouse layout of the Faculty of Engineering, Mulawarman University, could be more optimal, causing ineffectiveness of the movement of goods that occurred in the warehouse was unorganized. The proposed redesign of the warehouse layout shows it is better than the layout. It can be seen from the placement of goods according to their classification and the effective distance between the storage area to the door.","PeriodicalId":111822,"journal":{"name":"Journal Industrial Servicess","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129537830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Ulfah, P. F. Ferdinant, D. L. Trenggonowati, Missela Salsabila
{"title":"Supply-chain risk mitigation with integration House of Risk and fuzzy logic: A case study in bakery industry","authors":"M. Ulfah, P. F. Ferdinant, D. L. Trenggonowati, Missela Salsabila","doi":"10.36055/jiss.v8i2.17393","DOIUrl":"https://doi.org/10.36055/jiss.v8i2.17393","url":null,"abstract":"IKM Bread is a food industry located in Cilegon producing bread. IKM Bread has a supply chain system from raw material procurement, production process activities, packaging, shipping, and marketing to the hands of consumers. In its supply chain, IKM Bread has several risks that are happening, and that may occur, such as production planning, production process, and distribution. Therefore, risk identification and mitigation activity are required to minimize risk. This research aims to identify the supply chain in IKM Bread, analyze and be involved in the supply chain at IKM Bread and determine the mitigation strategy prioritized in supply risk management in the bakery industry in IKM Bread. The method used is SCOR and HOR phase 1 integrated with Fuzzy Logic to find potential risks. Then, HOR phase 2 methods are used to find the appropriate mitigation proposals for these potential risks. Based on the research, IKM Bread has 32 risk events and 20 risk agents. Therefore, the proposed risk mitigation consists of 15 proactive actions, which include conducting training for all employees, evaluating after production, briefing before starting production, and making backup production plans.","PeriodicalId":111822,"journal":{"name":"Journal Industrial Servicess","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121599118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Afif, S. Sudarto, M. I. Ats Tsauri, Hery Sumardiyanto
{"title":"Analysis of vulnerability and capability for development of supply chain resilience framework","authors":"M. Afif, S. Sudarto, M. I. Ats Tsauri, Hery Sumardiyanto","doi":"10.36055/jiss.v8i2.15936","DOIUrl":"https://doi.org/10.36055/jiss.v8i2.15936","url":null,"abstract":"The current COVID-19 pandemic has significantly impacted all sectors, including the automotive industry. The automotive industry is one of the industries that contribute significantly to economic growth in Indonesia. With supply chain disruptions and vulnerabilities amid the COVID-19 pandemic, the demand for supply chain resilience is echoing in the business world. It is essential to develop resilience capabilities promptly because supply chain vulnerabilities can cause severe financial loss for organizations. This research aims to group the variables of vulnerability and capability to perform processing more easily in prioritizing the appropriate vulnerabilities and capabilities. The factor analysis method is designed to group variables in many factors with almost the exact nature and characteristics, making it easier to simplify and analyze further. The results of the study found that the vulnerability variable has three factors, namely (i) financial vulnerability, (ii) operational vulnerability, and (iii) external vulnerability, then these three factors are divided into thirteen indicators. While the factors that are formed from the ability variable are five factors, namely (i) cooperation, (ii) anticipation, (iii) financial strength, (iv) capacity, and (v) flexibility, then the five factors are divided into thirteen indicators. Following the research objectives, grouping and simplifying these priority factors can become a reference for researchers or companies to manage supply chains that are more resilient amid disruptions due to the impact of the COVID-19 pandemic effectively and efficiently.","PeriodicalId":111822,"journal":{"name":"Journal Industrial Servicess","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116504431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Factor analysis of beef gravel quality using Principal Component Analysis (PCA)","authors":"Faula Arina, Atia Sonda, Devalia Elisabeth, Dhini Hamidah, Kiswa Safira Okataviani","doi":"10.36055/jiss.v8i2.17277","DOIUrl":"https://doi.org/10.36055/jiss.v8i2.17277","url":null,"abstract":"Factor analysis aims to reduce the amount of information from the original variable without losing important information. A factor is a collection of reduced variables. Several methods can be used in factor analysis, the most common of which are principal component analysis and maximum likelihood. The principal component analysis technique was used in this study. This technique was chosen because it better represents the purpose of the analysis than others. A case study of beef gravel is used to supplement the explanation of factor analysis using the Principal Component Analysis (PCA) technique. The goal of this study was to identify the most important factors influencing beef gravel quality to maintain product quality. The main factor is the volume of soaking water, and the second is the volume of soaking two dishes. These two factors have a cumulative variance proportion of 55%, indicating that they can influence the quality of the gravel. In contrast, the rest can be influenced by other factors not revealed in the research model.","PeriodicalId":111822,"journal":{"name":"Journal Industrial Servicess","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115264632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}