JIEMS (Journal of Industrial Engineering and Management Systems)
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Evaluasi Risiko Ergonomi dengan Analisis Postur Tubuh untuk Mengurangi Keluhan Musculoskeletal Disorders pada Pekerja
The economy is an important thing in a country, without an economy, a country can't run. The economy of a country is certainly supported by an industrial sector, one of which is the metal and iron processing industry. Workers in the company will certainly have regulations that will regulate the workforce when doing work at the company. PT. Smart Teknik Utama Bandung is a company engaged in the processing of metal, iron, and others that produces various products derived from iron and plates. The main product of this company is Roding China. The company has a problem, namely the work posture of the employees on the production floor. Wrong work posture results in MSDs complaints among workers which reduce the quality of workers. The purpose of this research is to analyze the work posture used by the workforce is already ergonomic or not. Work posture analysis used the Nordic Body Map method, Ovako Work Posture Analysis, and Rapid Entire Body Assessment. The analysis was carried out on 12 employees from 7 workstations. With the analysis carried out, it is known that all employees have MSDs complaints which are caused by incorrect and unergonomic work postures, then suggestions are given to improve work posture to reduce MSDs complaints experienced by employees
Port Equipment Downtime Prediction and Lifetime Data Analysis: Evidence from a Case Study
Prediction of downtime and lifetime data for gantry cranes in a container terminal is a crucial concern for port terminals due to the requirement for maintenance planning and capital expenditure. Correct estimation of lifetime behavior for gantry cranes is complex since multiple cranes are involved, each with different costs, capacities; installation, and retirement dates. This paper develops statistically-oriented predictions for the lifetimes of container terminals company fleet of gantry cranes. Data records on downtime for cranes were collected and analyzed using Weibull, normal, and Rayleigh distributions regarding a port in southwestern Nigeria. The downtime, probability density function, cumulative density function, reliability, and hazard rate were analyzed for three shape functions of Weibull, β=0.5, 1, and 3. The same was analyzed for Rayleigh and normal distribution functions. The mean downtime was 30.58 hrs. The highest PDF, CDF, R(t) for all β =0.5, 1, and 3, were 0.26, 0.78, .030 and 13.13, respectively. However, the least values for these parameters are 0.01, 0.71, 0.25, and 0.04, respectively. These values are means for thirty data points and concern the Weibull distribution function. For the Rayleigh distribution, the mean PDF, CDF, R(t) and h(t) are 0.002, 0.042, 0.958 and 0.002 while they are 0.002, 0.456, 0.542 and 35.755 for the normal distribution. This article provides new insights into the lifetime analysis of gantry cranes in a container terminal
Studi Pendahuluan Komparasi Kapasitas Produksi Pada UKM Batu Bata Berbasis Family Business
This preliminary study aims to compare production capacity at the family business of bricks at Sokaraja District, Banyumas Regency. The majority of the businesses are done traditionally with family business managerial-based norms. The method used is the cost estimation analysis and the Analysis of Variance (ANOVA) method to calculate the statistical significance of production among SMEs. In addition, based on statistical analysis there are significant differences among the three bricks SMEs for production capacity. The implications of these calculations can be used as an initial step to consider in general determining the logistics conditions, sales strategies, and the role of succession in the family business. In practice, increasing production capacity, reducing production costs, and product innovation can be achieved if the involvement of family members were optimal to ensure and enhance the business’s sustainability
Posture Analysis Using Nordic Body Map and Rapid Office Strain Assessment Methods to Improve Work Posture
Jaya Launch Pad is a company engaged in educational services. It is undeniable that service sector companies such as Jaya Launch Pad also have a workforce whose work posture may be less ergonomic, which can lead to musculoskeletal disorders. Musculoskeletal disorders can be experienced by people of all ages. Therefore, this study focuses on work posture. This research occurred because of complaints experienced by staff. The number of samples used in this study was 1 person. This was influenced by the Covid-19 pandemic situation so that there was only 1 staff when the observation was made. The research method used was the nordic body map (NBM) to determine which parts of the body are experiencing complaints, and the rapid office strain assessment (ROSA) to measure the risk of injury due to the posture of sitting at a computer for 8 hours. The result is that the complaint assessment using the NBM questionnaire has a score of 52 (needs improvement at a later date) with 4 categories of severe pain, namely back, waist, buttocks, and buttocks. Meanwhile, the score from the ROSA table is 6 which means it is risky / dangerous so that it needs improvement. Therefore, a proposed condition is given in the form of a replacement of work facilities in the form of a work chair with adjustable height and adjustable armrests. This improvement is assumed to be able to reduce the level of staff complaints, and the calculation result of the rapid office strain assessment (ROSA) is 4 which means no risk so that this improvement is accepted and can solve the work posture problem of staff at Jaya Launch Pad.
Segmentasi Konsumen Berdasarkan Model Recency, Frequency, Monetary dengan Metode K-Means
A good company is a company that is responsive to market changes and opportunities by utilizing existing data and information. Company data and information can come from internal or external sources. One of the internal data sources that can be utilized is customer data. This data will be used as the basis for determining customer segmentation. Segmentation is a process to determine customer characteristics with certain similarities, making it easier to extract information related to profitable customers. Customer business behavior can be seen from recency (last transaction period), frequency (number of transactions), and monetary (rupiah issued) or known as RFM analysis. The effective RFM analysis helps achieve the implementation of customer relationship management because this model is an important facility in measuring the profitability of customer value. To consider this RFM model, researchers use clustering which assumes that customers are in the same cluster, then consider customers with customers in the cluster. This clustering will display customer segmentation. This clustering method uses K-Means clustering. From the results of data processing, 3 clusters were formed from 25 customer data. Based on the clusters formed, it can be concluded that customer purchases have a different pattern. Clusters included in the segment of potential customers are cluster 1. Clusters are needed to get customers who previously had low R, high F, and high M values. While the strategy that needs to be improved is cluster 2
Optimasi Jumlah Kedatangan Bus Transjakarta Koridor 1 untuk Melayani Penumpang pada Jam Sibuk Menggunakan Simulasi
Public transportation plays an important role in meeting people's needs for traveling. In a big city like DKI Jakarta, public transportation plays an important role in supporting the daily activities of its people. Transjakarta is one of the mass public transportation (bus rapid transit) provided by the local government for the community. One of the corridors that have the highest number of passengers is corridor 1 which serves the Blok M - Kota route. The problem that occurs is the irregularity in the scheduling system and the operation of the buses which are considered to be less than optimal, as a result, many buses are idle or buses travel but only carry a few passengers, especially during peak hours on weekdays. To solve this problem, it is necessary to conduct research that regulates the scheduling of bus arrivals at peak hours to serve a large number of passengers. The method used in this research is a simulation by determining the headway timing and determining the number of buses to operate as optimally as possible. The proposed simulation is made of 3 new scenarios and 1 proposed scenario for real-time conditions. Based on the simulation results, the determination of the headway time of 9 minutes between arrivals and 13 buses used during rush hour, from the previous one with a headway time of 4 minutes between arrivals, but the buses used are 30 buses during peak hours. This proposal given is to save bus usage and maximize the utility of the bus
Kebijakan Pemerintah Mengenai Coronavirus Disease (COVID-19) di Setiap Provinsi di Indonesia Berdasarkan Analisis Klaster
Coronavirus disease (COVID-19) is a disease that was only discovered in 2019 and has been reported to have spread to almost all over the world. This pandemic has caused anxiety and fear for all Indonesians because it can be transmitted easily through humans. This study aims to cluster each province in Indonesia into certain clusters so that they can find out the characteristics, movements, and government policies that must be carried out in each cluster. This study uses secondary data regarding COVID-19 cases in Indonesia, which reached 4800 data from March 1 to August 11, 2020, in 34 Indonesian provinces. The four variables used were the number of cases of death, the number of cured cases, the number of active cases, and the number of deaths per one million population. Cluster 1 has a high risk because it has the highest variable number of active cases and the number of deaths per one million population. Cluster 2 has a low risk because it has a variable with the highest number of cured cases and the lowest number of active cases. Cluster 3 has a moderate risk because it has the lowest number of cures variable and the moderate number of active cases. The government policy in cluster 1 should prioritize the variable number of active cases and the number of death cases per one million population, cluster 2 must prioritize the variable number of deaths, and cluster 3 must prioritize the variable number of active cases
Analisis Faktor-Faktor yang Memengaruhi Kualitas Layanan di Bioskop XXI Lotte Bintaro Menggunakan Service Quality
This study aims to determine which service quality must be maintained or which quality should be improved by a product or service company. In this study, we use several service theories, service quality, service quality from a variety of expert opinions and the method we use in this study is the Service Quality (Servqual) method which has five dimensions, namely reliability, responsiveness, assurance (assurance), empathy (empathy), and physical evidence (tangibles). The number of respondents in this study is Jabodetabek residents who have visited and used products and services from Cinema XXI under the auspices of PT Nusantara Sejahtera Raya and located at Lotte Bintaro Mall. After distributing questionnaires and getting questionnaire data with 38 respondents, the next step is processing data by the Servqual method. This method begins by calculating the gap/difference between customer expectations regarding services with the reality of service perceived by customers. This was done by distributing questionnaires through social media. The company does not only focus on film services but also on food and beverage products. The results showed that all dimensions of servqual have negative values, so to improve customer satisfaction, it is recommended that company management can improve service quality in five dimensions of servqual. The attribute that has the biggest negative value is "product quality according to price"
Analisis Sistem Antrean sebagai Upaya Mengoptimalkan Layanan Teller di Bank BRI Cabang Cibadak Kabupaten Sukabumi
High mobility in the era of globalization has resulted in the service system in a company being demanded to be faster to meet customer needs. Responsiveness or responsiveness is one aspect of service quality that serves as a benchmark in achieving customer satisfaction. Banking as a financial service in dealing with customers is closely related to the speed of services provided to customers, sometimes whether or not fast customers are constrained by unpredictable queuing times. BRI Bank as the bank that has the largest units that are spread almost all over Indonesia, BRI Bank has been committed to creating excellent service in serving its customers, so that the queuing system in a banking service is crucial to be noticed so that customers can be well served. The purpose of this study was to analyze the optimal teller service queue system for minimizing queue waiting time using queuing theory methods. Data collection with a determined time-based observation and recording of activities that occur directly by researchers to be carried out at BRI Cibadak Branch, Sukabumi. The data to be taken is the time to the teller the service queue system which is the time between the arrival of the customer and the time of customer service. The results showed an optimal number of tellers of 6 with an average server utilization of 67%, an average number in the queue of 0.57 customers, an average number in the system of 4.57 customers, an average time in the queue of 0.01 hours and an average time in the system of 0.11 hours
Mereduksi Voice of Customer pada Pengembangan Produk Alat Pembuka Tutup Galon Menggunakan Analisis Faktor
Currently, bottled drinking water has become the main choice for Indonesians. The percentage of consumption of bottled drinking water by Indonesians in 2018 reached 36.28% and an increase in 2019 reached 38.25%. One package that is often used is gallon packaging. There are several problems that people find when opening the gallon lid. The results of initial interviews with the community indicated that there were several problems, including the high risk of injury to the hands if you opened the gallon lid using a knife and the hands hurt if you opened the gallon cap manually without tools. These problems can be overcome by developing a product for a gallon cap opener that is tailored to customer needs or voice of customer (VOC). The method used in this research is factor analysis. A large number of community necessities make the product development process difficult because of the many needs that must be met. The purpose of this study was to reduce the number of VOCs. The Kaiser Meyer Olkin (KMO) test was used to see the suitability of the data used in factor analysis, while Bartlett's test was used to determine the significant correlation on each indicator. The result of factor analysis shows that 12 customer needs can be reduced to 3 customer needs, namely affordable gallon cap opening price, adjustable gallon cap opener diameter, and multifunctional gallon lid opener