Pub Date : 2023-01-24DOI: 10.25170/metris.v23i02.3833
Fitriah Agustina, Trisita Novianti
The projected decrease inspired this research in Afdhol MSMEs' consumer base in 2020. This study's objectives were to determine the pattern of product brand transfer for Nasional Afdhol (SNA) and predict the market share and price of prayer cap products. This study was undertaken at the SNA in Bungah District, Gresik Regency. With a population of 415 people and a required sample size of 204 persons, the required data consists of a questionnaire containing questions concerning prayer cap brand items used in the past and prayer cap brand products used presently. There are three competing prayer cap brands: Nasional ONH, Pendopo, and Nasional Gapuro Bungah. During the pandemic, it has decreased drastically by almost 70% until the last two years, so the problem that can be formulated was SNA has never evaluated the market, so competitors have never been taken into account for their role, which may affect the market share, and how consumers behave in their role in choosing which songkok to buy. By calculating using the Markov chain, the pattern of songkok purchase movement made by consumers in the 4 songkok brands can be analyzed so that SNA canplan marketing strategies to increase sales and their expected values. Data processing was performed using Rantai Markov, beginning with projecting market share using three strategies. The first strategy was without decreasing or raising prices. The second strategy was reducing the price of Rp. 5,000.00, and the third strategy was increasing the price of Rp. The calculation results yielded the greatest market share value. A formulated strategy was to cut the price of Rp. 5,000.00 by 42.65% with a probability value of 0.4265 under a steady-state condition of 0.4714 with a profit of Rp. 1,137,636. The strategy to obtain maximum expectation values has the consequence of enlarging its customer base.
{"title":"Penerapan Rantai Markov Pada Pola Perpindahan Pembelian di Produk Songkok","authors":"Fitriah Agustina, Trisita Novianti","doi":"10.25170/metris.v23i02.3833","DOIUrl":"https://doi.org/10.25170/metris.v23i02.3833","url":null,"abstract":"The projected decrease inspired this research in Afdhol MSMEs' consumer base in 2020. This study's objectives were to determine the pattern of product brand transfer for Nasional Afdhol (SNA) and predict the market share and price of prayer cap products. This study was undertaken at the SNA in Bungah District, Gresik Regency. With a population of 415 people and a required sample size of 204 persons, the required data consists of a questionnaire containing questions concerning prayer cap brand items used in the past and prayer cap brand products used presently. There are three competing prayer cap brands: Nasional ONH, Pendopo, and Nasional Gapuro Bungah. During the pandemic, it has decreased drastically by almost 70% until the last two years, so the problem that can be formulated was SNA has never evaluated the market, so competitors have never been taken into account for their role, which may affect the market share, and how consumers behave in their role in choosing which songkok to buy. By calculating using the Markov chain, the pattern of songkok purchase movement made by consumers in the 4 songkok brands can be analyzed so that SNA canplan marketing strategies to increase sales and their expected values. Data processing was performed using Rantai Markov, beginning with projecting market share using three strategies. The first strategy was without decreasing or raising prices. The second strategy was reducing the price of Rp. 5,000.00, and the third strategy was increasing the price of Rp. The calculation results yielded the greatest market share value. A formulated strategy was to cut the price of Rp. 5,000.00 by 42.65% with a probability value of 0.4265 under a steady-state condition of 0.4714 with a profit of Rp. 1,137,636. The strategy to obtain maximum expectation values has the consequence of enlarging its customer base.","PeriodicalId":402087,"journal":{"name":"Jurnal METRIS","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122142478","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}
Pub Date : 2023-01-24DOI: 10.25170/metris.v23i02.4150
F. P. Surbakti, Andi Arifta Ginting
The development of technology in industry 4.0 era leads to a digitalization process which is marked by the emergence of the internet as one of the important enablers. Indihome and Firstmedia are the most popular Internet Service Providers) ISPs in Indonesia in providing internet services. These two companies certainly have competition in winning the hearts of customers. One of the important factors in this business competition is customer response in the form of reviews which are usually done through social media tools such as Twitter. For this reason, it is important to study how the customer responds in the form of a given sentiment. Sentiment analysis can be a way to study customer responses to products and services. Sentiment Analysis is a method that is part of Big Data in Data Science which is useful for assessing sentiment in the form of positive or negative sentiments. The data collected was 1000 tweets for each ISP which will be processed with the help of Rstudio. The processing results obtained 177 positive tweets, 489 neutral, and 334 negative tweets for indihome while firstmedia obtained 620 positive tweets, 222 neutral tweets, and 158 negative tweets. The result is firstmedia ISPs get a better positive response and the number of complaints is less than indihome. Internet service providers (ISPs) can improve product and service quality by creating a single database system and also implementing the service design blueprint.
{"title":"The Application of Sentiment Analysis on Customers Responses in Social Media (Case Study: Indihome and First Media Internet Service Provider)","authors":"F. P. Surbakti, Andi Arifta Ginting","doi":"10.25170/metris.v23i02.4150","DOIUrl":"https://doi.org/10.25170/metris.v23i02.4150","url":null,"abstract":"The development of technology in industry 4.0 era leads to a digitalization process which is marked by the emergence of the internet as one of the important enablers. Indihome and Firstmedia are the most popular Internet Service Providers) ISPs in Indonesia in providing internet services. These two companies certainly have competition in winning the hearts of customers. One of the important factors in this business competition is customer response in the form of reviews which are usually done through social media tools such as Twitter. For this reason, it is important to study how the customer responds in the form of a given sentiment. Sentiment analysis can be a way to study customer responses to products and services. Sentiment Analysis is a method that is part of Big Data in Data Science which is useful for assessing sentiment in the form of positive or negative sentiments. The data collected was 1000 tweets for each ISP which will be processed with the help of Rstudio. The processing results obtained 177 positive tweets, 489 neutral, and 334 negative tweets for indihome while firstmedia obtained 620 positive tweets, 222 neutral tweets, and 158 negative tweets. The result is firstmedia ISPs get a better positive response and the number of complaints is less than indihome. Internet service providers (ISPs) can improve product and service quality by creating a single database system and also implementing the service design blueprint.","PeriodicalId":402087,"journal":{"name":"Jurnal METRIS","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126029833","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}
Pub Date : 2023-01-24DOI: 10.25170/metris.v23i02.3896
A. Silalahi, Antonia Lydia, Christine Natalia, Wibawa Prasetya
The high overtime cost for nurses from Manual Scheduling, in the inpatient unit at ABC Hospital, where the overtime cost was Rp.10,409,910,-, much the difference number working hours between each nurses and many violations of hard constraint. So, it is necessary to make improvements to the scheduling. This study developed the scheduling whose goal is to minimize violations of regulations and minimize overtime costs by Goal Programming (GP). Mathematical formulation for both objectives were solved by LINGO 18.0. The difference in the number of working hours between the highest working hours and the least working hours for nurses who are not on leave, on Manual Scheduling, The Minimizing Regulatory Violations Scheduling and The Minimizing Overtime Costs Scheduling were 53, 0 and 1 hour(s) respectively. The highest number of working hours was 221 hours in Manual Scheduling, while the least number working hours was 175 hours in Minimizing Overtime Scheduling. If the policy in scheduling wanted to minimize violations, using the result of Scheduling for Minimizing Violation of the regulations there were 177 violations and overtime costs was Rp. 3.652.600,- reduced by 64.91%. Meanwhile, if the Hospital wanted to minimize overtime costs, using the result of Scheduling Minimizing Overtime Costs, there were 246 violations and overtime costs was Rp.104,360,- reduced by 99.0%.In the future, the hospital must establish a policy in terms of scheduling, whether the aim is to minimize violations of regulations or minimize overtime costs, so that based on this policy, the mathematical formulation can be determined.
{"title":"PENJADWALAN PERAWAT BERDASARKAN MINIMASI PELANGGARAN PERATURAN DAN MINIMASI BIAYA LEMBUR","authors":"A. Silalahi, Antonia Lydia, Christine Natalia, Wibawa Prasetya","doi":"10.25170/metris.v23i02.3896","DOIUrl":"https://doi.org/10.25170/metris.v23i02.3896","url":null,"abstract":"The high overtime cost for nurses from Manual Scheduling, in the inpatient unit at ABC Hospital, where the overtime cost was Rp.10,409,910,-, much the difference number working hours between each nurses and many violations of hard constraint. So, it is necessary to make improvements to the scheduling. This study developed the scheduling whose goal is to minimize violations of regulations and minimize overtime costs by Goal Programming (GP). Mathematical formulation for both objectives were solved by LINGO 18.0. The difference in the number of working hours between the highest working hours and the least working hours for nurses who are not on leave, on Manual Scheduling, The Minimizing Regulatory Violations Scheduling and The Minimizing Overtime Costs Scheduling were 53, 0 and 1 hour(s) respectively. The highest number of working hours was 221 hours in Manual Scheduling, while the least number working hours was 175 hours in Minimizing Overtime Scheduling. If the policy in scheduling wanted to minimize violations, using the result of Scheduling for Minimizing Violation of the regulations there were 177 violations and overtime costs was Rp. 3.652.600,- reduced by 64.91%. Meanwhile, if the Hospital wanted to minimize overtime costs, using the result of Scheduling Minimizing Overtime Costs, there were 246 violations and overtime costs was Rp.104,360,- reduced by 99.0%.In the future, the hospital must establish a policy in terms of scheduling, whether the aim is to minimize violations of regulations or minimize overtime costs, so that based on this policy, the mathematical formulation can be determined.","PeriodicalId":402087,"journal":{"name":"Jurnal METRIS","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130619605","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}
Pub Date : 2022-08-06DOI: 10.25170/metris.v23i01.2961
Febryan Sutomo, Trifenaus Prabu Hidayat, Karel Octavianus Bachri
PT. XYZ merupakan sebuah perusahaan manufaktur yang bergerak dibidang otomotif dan sudah berjalan sebagai supplier komponen otomotif untuk beberapa perusahaan otomotif terkemuka di Indonesia. Kebanyakan proses produksi pada PT. XYZ sudah berjalan dengan baik. Tetapi terdapat salah satu sub produk mereka yang memiliki kendala dalam proses produksinya yaitu muffler K-59J. Pada lintasan produksi muffler K-59J dinilai kurang optimal dalam proses produksinya. Hal tersebut dilihat dari banyak kendala yang timbul selama proses produksi berlangsung. Mulai dari terjadi penumpukan (bottleneck), Target produksi harian sering tidak tercapai sehingga sering terjadi waktu kerja tambahan (overtime), dan jika dilihat secara data nilai efisiensinya hanya sebesar 58,81 %. Dengan demikian, penelitian ini bertujuan untuk meningkatkan performa dari lintasan produksi tersebut. Oleh karena itu diusulkan metode Algoritma Genetik yang bersifat komputerisasi untuk meningkatkan performanya. Proses penyelesaian penelitian ini dilakukan dengan bantuan program matlab dalam pengerjaan metode Algoritma Genetik. Pada prosesnya, dilakukan beberapa tahapan mulai dari membuat representasi genetik, menyeleksi populasi induk, melakukan rekombinasi dan mutasi, dan regenerasi populasi. Tetapi terdapat sedikit perbedaan pada penlitian ini dimana populasi awal yang dibentuk merupakan populasi yang sudah tersaring kedalam syarat-syarat keseimbangan lintasan antara lain sesuai dengan diagram alurnya, dan jumlah waktu stasiun kerja tidak melebihi cycle time. Dari hasil pengerjaan metode Algoritma Genetik tersebut, didapatkan besar efisiensi lintasan sebesar 74,07 % dengan total stasiun kerja sebanyak 18 stasiun kerja. dengan demikian nilai efisiensi lintasan berhasil ditingkatkan sebesar 15,26 %.
PT. XYZ是一家制造业公司，专门从事汽车行业，已经为印尼几家主要汽车公司提供汽车部件供应商。XYZ公司的大多数生产过程都很顺利。但其中一种产品的生产受到限制，那就是K-59J消声器。K-59J消声器的生产轨迹被认为在生产过程中不太理想。这可以从生产过程中出现的许多障碍中看出。从失业开始，日常生产的目标往往没有实现，因此增加了额外的工作时间，从数据来看，效率只有58.81 %。因此，本研究的目标是提高产量轨迹的性能。因此，有人建议一种计算机算法的基因算法方法来提高性能。这项研究的完成过程是在基因算法方法的matlab程序的帮助下完成的。在这个过程中，从基因表现、选择母种群、重组和突变和再生等阶段开始。但是，在这种研究中，早期的人口是根据铝图过滤到赛道平衡条件的，而工作站的时间不会超过周期时间的。根据基因算法方法的研究，它的轨迹效率为74.07 %，总工作站为18个工作站。这样一来，轨道效率提高15.26%。
{"title":"Perbaikan Kondisi Keseimbangan Lintasan Produksi Dengan Penerapan Metode Genetic Algorithm Pada Lintasan Produksi Muffler K-59J PT XYZ","authors":"Febryan Sutomo, Trifenaus Prabu Hidayat, Karel Octavianus Bachri","doi":"10.25170/metris.v23i01.2961","DOIUrl":"https://doi.org/10.25170/metris.v23i01.2961","url":null,"abstract":"PT. XYZ merupakan sebuah perusahaan manufaktur yang bergerak dibidang otomotif dan sudah berjalan sebagai supplier komponen otomotif untuk beberapa perusahaan otomotif terkemuka di Indonesia. Kebanyakan proses produksi pada PT. XYZ sudah berjalan dengan baik. Tetapi terdapat salah satu sub produk mereka yang memiliki kendala dalam proses produksinya yaitu muffler K-59J. Pada lintasan produksi muffler K-59J dinilai kurang optimal dalam proses produksinya. Hal tersebut dilihat dari banyak kendala yang timbul selama proses produksi berlangsung. Mulai dari terjadi penumpukan (bottleneck), Target produksi harian sering tidak tercapai sehingga sering terjadi waktu kerja tambahan (overtime), dan jika dilihat secara data nilai efisiensinya hanya sebesar 58,81 %. Dengan demikian, penelitian ini bertujuan untuk meningkatkan performa dari lintasan produksi tersebut. Oleh karena itu diusulkan metode Algoritma Genetik yang bersifat komputerisasi untuk meningkatkan performanya. Proses penyelesaian penelitian ini dilakukan dengan bantuan program matlab dalam pengerjaan metode Algoritma Genetik. Pada prosesnya, dilakukan beberapa tahapan mulai dari membuat representasi genetik, menyeleksi populasi induk, melakukan rekombinasi dan mutasi, dan regenerasi populasi. Tetapi terdapat sedikit perbedaan pada penlitian ini dimana populasi awal yang dibentuk merupakan populasi yang sudah tersaring kedalam syarat-syarat keseimbangan lintasan antara lain sesuai dengan diagram alurnya, dan jumlah waktu stasiun kerja tidak melebihi cycle time. Dari hasil pengerjaan metode Algoritma Genetik tersebut, didapatkan besar efisiensi lintasan sebesar 74,07 % dengan total stasiun kerja sebanyak 18 stasiun kerja. dengan demikian nilai efisiensi lintasan berhasil ditingkatkan sebesar 15,26 %.","PeriodicalId":402087,"journal":{"name":"Jurnal METRIS","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127512313","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}
Pub Date : 2022-08-06DOI: 10.25170/metris.v23i01.3571
Artamevia Salsabila Rizaldi, R. P. Soesanto, A. F. Rizana, A. Rumanti
This study identifies the criteria for developing natural tourism potential in Rembang Regency. There are problems, such as on the white sand beach of Wates. There are still attractions that have not been managed, namely the mangroves around the beach that have not been managed and around the tour. There are no lodgings such as hotels and guest houses for tourists, so for now, the distance to the beach can be accessed by vehicle because of quite a distance. To meet the requirements of tourist attraction, five criteria must be met based on the literature study: Attractions, Accommodations, Accessibility, Activities, and Amenities. After obtaining the criteria, a weighting will be carried out for each criterion based on 5A using the AHP approach. Based on the results obtained, it is known that the Accessibility criteria have the highest weight value, followed by the Amenity, Activities, Accommodation and Attractions criteria. Value modelling is carried out to calculate tourism feasibility according to standards.
{"title":"Natural Tourism Potential Assessment Model in Rembang Regency","authors":"Artamevia Salsabila Rizaldi, R. P. Soesanto, A. F. Rizana, A. Rumanti","doi":"10.25170/metris.v23i01.3571","DOIUrl":"https://doi.org/10.25170/metris.v23i01.3571","url":null,"abstract":"This study identifies the criteria for developing natural tourism potential in Rembang Regency. There are problems, such as on the white sand beach of Wates. There are still attractions that have not been managed, namely the mangroves around the beach that have not been managed and around the tour. There are no lodgings such as hotels and guest houses for tourists, so for now, the distance to the beach can be accessed by vehicle because of quite a distance. To meet the requirements of tourist attraction, five criteria must be met based on the literature study: Attractions, Accommodations, Accessibility, Activities, and Amenities. After obtaining the criteria, a weighting will be carried out for each criterion based on 5A using the AHP approach. Based on the results obtained, it is known that the Accessibility criteria have the highest weight value, followed by the Amenity, Activities, Accommodation and Attractions criteria. Value modelling is carried out to calculate tourism feasibility according to standards.","PeriodicalId":402087,"journal":{"name":"Jurnal METRIS","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114372933","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}
Pub Date : 2022-08-06DOI: 10.25170/metris.v23i01.3574
Mia Amelia, Lutfia Septiningrum, Augustina Asih Rumanti
Rembang Regency is not a tourist destination in districts or cities in Central Java because tourist visits to tourist objects in Rembang Regency are still relatively small when compared to other areas around Rembang Regency such as Demak Regency, Kudus Regency, and Semarang Regency. The potential for cultural tourism in Rembang Regency is still relatively small compared to natural and artificial tourism. So that the potential to be taken is the potential for cultural tourism. There are six components of tourism development as the basis for research: Attraction, Amenities, Ancillary Service, Activity, Accessibility, and Accommodation. There are additional tourism development components from interviews with the Culture and Tourism Office of Rembang Regency, namely Environment and Human Resources. So that it can be managed clearly and accurately measured and tourism potential can be said to be feasible, it must first design indicators so that tourism managers can find out what must be developed for cultural tourism potential, so that later it is expected to become a tourist destination that can help the economy in the Regency Rembang. This study uses the SECI method (Socialization, Externalization, Combination, and Internalization). After getting the indicator then, calculate the weight using AHP (Analytical Hierarchy Process)
{"title":"Perancangan Alat Ukur Potensi Wisata Budaya Pada Kabupaten Rembang Menggunakan Metode SECI dan AHP","authors":"Mia Amelia, Lutfia Septiningrum, Augustina Asih Rumanti","doi":"10.25170/metris.v23i01.3574","DOIUrl":"https://doi.org/10.25170/metris.v23i01.3574","url":null,"abstract":"Rembang Regency is not a tourist destination in districts or cities in Central Java because tourist visits to tourist objects in Rembang Regency are still relatively small when compared to other areas around Rembang Regency such as Demak Regency, Kudus Regency, and Semarang Regency. The potential for cultural tourism in Rembang Regency is still relatively small compared to natural and artificial tourism. So that the potential to be taken is the potential for cultural tourism. There are six components of tourism development as the basis for research: Attraction, Amenities, Ancillary Service, Activity, Accessibility, and Accommodation. There are additional tourism development components from interviews with the Culture and Tourism Office of Rembang Regency, namely Environment and Human Resources. So that it can be managed clearly and accurately measured and tourism potential can be said to be feasible, it must first design indicators so that tourism managers can find out what must be developed for cultural tourism potential, so that later it is expected to become a tourist destination that can help the economy in the Regency Rembang. This study uses the SECI method (Socialization, Externalization, Combination, and Internalization). After getting the indicator then, calculate the weight using AHP (Analytical Hierarchy Process)","PeriodicalId":402087,"journal":{"name":"Jurnal METRIS","volume":"542 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129182194","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}
Pub Date : 2022-08-06DOI: 10.25170/metris.v23i01.3224
Agustinus Silalahi, Eva Angelica Zefanya, C. Natalia, Wibawa Prasetya
Province X in Indonesia has a significant problem with trash that has been challenging to address. The Environment Agency therefore desires to construct an inorganic Trash Management System. The Environment Agency has four potential locations with various capacities. The purpose of this research is to locate a trash treatment system's best possible site and allocate each TPS that is less than 30 km and more over 30 km from the chosen system, respectively, to ensure that the overall distance traveled is as little as possible. There are four possible locations, and it required to select three of them. This study use the LINGO 18.0 software to solve the Capacitated Maximum Covering Location Problem (CMCLP) approach. Distance parameters used by CMCLP are split into two stages. The first stage is to determine the location of the trash treatment system to be built and the allocation of trash and the amount of trash from each TPS using Mix Integer Programming. B is not chosen out of the options, which are A, B, C, and D. System A will receive 1,407,520 tons of trash totaling 24 TPS. System C receives trash from 147 TPS weighing 1,294,495 pounds. System D will receive trash weighing 819,142 tons from 88 TPS. The allocation of trash from TPS that are more than 30 km away takes place in the second stage. Three TPS are assigned to System A, and seven TPS are assigned to System D.
{"title":"OPTIMASI ALOKASI SISTEM PENGOLAHAN SAMPAH ANORGANIK DENGAN METODE CAPACITATED MAXIMUM COVERING LOCATION PROBLEM","authors":"Agustinus Silalahi, Eva Angelica Zefanya, C. Natalia, Wibawa Prasetya","doi":"10.25170/metris.v23i01.3224","DOIUrl":"https://doi.org/10.25170/metris.v23i01.3224","url":null,"abstract":"Province X in Indonesia has a significant problem with trash that has been challenging to address. The Environment Agency therefore desires to construct an inorganic Trash Management System. The Environment Agency has four potential locations with various capacities. The purpose of this research is to locate a trash treatment system's best possible site and allocate each TPS that is less than 30 km and more over 30 km from the chosen system, respectively, to ensure that the overall distance traveled is as little as possible. There are four possible locations, and it required to select three of them. This study use the LINGO 18.0 software to solve the Capacitated Maximum Covering Location Problem (CMCLP) approach. Distance parameters used by CMCLP are split into two stages. The first stage is to determine the location of the trash treatment system to be built and the allocation of trash and the amount of trash from each TPS using Mix Integer Programming. B is not chosen out of the options, which are A, B, C, and D. System A will receive 1,407,520 tons of trash totaling 24 TPS. System C receives trash from 147 TPS weighing 1,294,495 pounds. System D will receive trash weighing 819,142 tons from 88 TPS. The allocation of trash from TPS that are more than 30 km away takes place in the second stage. Three TPS are assigned to System A, and seven TPS are assigned to System D.","PeriodicalId":402087,"journal":{"name":"Jurnal METRIS","volume":"269 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133944406","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}
Pub Date : 2022-08-06DOI: 10.25170/metris.v23i01.3554
Nina Sukarlina, I. Sriwana
PT. XYZ is a company that produces pharmaceutical products for livestock. Most of the raw materials for veterinary drugs consist of B3 powder (toxic and hazardous materials). Waste from the production process is unavoidable, one of the types of waste produced by PT. XYZ is B3 powder wastes. According to the Environmental Service (DLH) B3 waste cannot be directly discharged into the environment, therefore PT. XYZ uses 3rd party services in processing B3 waste disposal. PT. XYZ produces powdered B3 waste at an average of 267.12 kg/month, the cost that must be incurred by the company to manage B3 waste and the value of loss of raw materials is Rp. 28,094,703.70/year. This study aims to design a system for the minimization of B3 waste by using a Soft System Methodology (SSM) approach. The proposed changes from this research use the 3R principle (reduce, reuse, recycle). The implementation of the proposed changes can result in cost efficiency incurred by the company for B3 waste management of Rp. 18,368,995.87/year.
PT. XYZ是一家生产家畜用药品的公司。兽药的原料大多含有B3粉(有毒有害物质)。生产过程中产生的废物是不可避免的，PT. XYZ产生的废物之一是B3粉末废物。根据环境服务(DLH) B3废物不能直接排放到环境中，因此PT. XYZ使用第三方服务来处理B3废物处置。PT. XYZ每月平均产生267.12公斤的粉状B3废物，公司管理B3废物的成本和原材料损失的价值为每年28,094,703.70卢比。本研究旨在通过使用软系统方法学(SSM)方法设计一个最小化B3浪费的系统。这项研究提出的改变使用了3R原则(减少、再利用、再循环)。实施提议的变更可以使公司B3废物管理的成本效率达到每年18,368,995.87卢比。
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Pub Date : 2022-08-06DOI: 10.25170/metris.v23i01.3526
Chendrasari Wahyu Oktavia, Andre Sugioko
Inventory control has an important role to maintain the stability of the company's business continuity. With inventory control, companies can meet consumer needs and consumers will feel satisfied if the demand comes on time. On the other hand, with this focus on inventory control, company management must also be careful if the raw material inventory is too large, it will result in high inventory costs, on the other hand, if there is too little raw material inventory, it will result in unfulfilled consumer needs. The purpose of this study is to identify forecasting the amount of sugar demand in 2019 and determine the amount of inventory costs from the forecasting results using EOQ. It is hoped that in the future the company will not only be able to know the future demand side based on forecasting, but the company already has an estimate of the total cost of inventory. The need for sugar raw materials from the forecasting results is 170,173 kg. Where the most needs are in April and November 2019, the number of economic purchases is 5218 kg with a frequency of ordering 33 times a year. Based on company policy, there is currently no information on safety stock and reoder points set by the company. With the EOQ proposal, the results of the safety stock and reoder point are 34,349 kg and 70,875 kg, respectively. The TIC proposal based on the EOQ is able to reduce the total inventory cost which was originally with the company's policy of Rp. 1,805,785,530 to Rp. 1,805,138,304 where this figure saves Rp. 647,226
{"title":"Analisis Peramalan Dengan Simulasi Monte Carlo dan Implementasi Pengendalian Persediaan Gula Berdasarkan EOQ","authors":"Chendrasari Wahyu Oktavia, Andre Sugioko","doi":"10.25170/metris.v23i01.3526","DOIUrl":"https://doi.org/10.25170/metris.v23i01.3526","url":null,"abstract":"Inventory control has an important role to maintain the stability of the company's business continuity. With inventory control, companies can meet consumer needs and consumers will feel satisfied if the demand comes on time. On the other hand, with this focus on inventory control, company management must also be careful if the raw material inventory is too large, it will result in high inventory costs, on the other hand, if there is too little raw material inventory, it will result in unfulfilled consumer needs. The purpose of this study is to identify forecasting the amount of sugar demand in 2019 and determine the amount of inventory costs from the forecasting results using EOQ. It is hoped that in the future the company will not only be able to know the future demand side based on forecasting, but the company already has an estimate of the total cost of inventory. The need for sugar raw materials from the forecasting results is 170,173 kg. Where the most needs are in April and November 2019, the number of economic purchases is 5218 kg with a frequency of ordering 33 times a year. Based on company policy, there is currently no information on safety stock and reoder points set by the company. With the EOQ proposal, the results of the safety stock and reoder point are 34,349 kg and 70,875 kg, respectively. The TIC proposal based on the EOQ is able to reduce the total inventory cost which was originally with the company's policy of Rp. 1,805,785,530 to Rp. 1,805,138,304 where this figure saves Rp. 647,226","PeriodicalId":402087,"journal":{"name":"Jurnal METRIS","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115354169","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}
Pub Date : 2022-08-06DOI: 10.25170/metris.v23i01.3547
T. Rachman, Darmiolla Natasia Watunglawar, M. D. Amperajaya, Septian Rahmat Adnan, I. Sriwana
PT. Hamdan Jaya Makmur is a company that runs in the field of Machining, Engineering, Fabrication, Stamping, and Trading Company, which produces products for small, medium and modern industries. Less than optimal maintenance system with corrective maintenance causes PT. Hamdan Jaya Makmur often experiences machine failure. Based on historical data, it can be seen that the lathe machine type SS-850 experienced very high downtime. Therefore, it is necessary to plan optimal and preventive maintenance of the machine in order to produce according to the target and increase the reliability of the machine. The purpose of this research is to determine the time interval and cost of preventive replacement on components of the lathe machine type SS-850 at PT. Hamdan Jaya Makmur. The method used in this research is the Age Replacement method, namely by determining critical components, determining the distribution pattern of damage, determining distribution parameters, and calculating MTTF and MTTR, where the results obtained are preventive replacement time intervals, and calculating preventive replacement costs. The results obtained from this research are that there are four critical components on the lathe machine type SS-850, namely electric components with a preventive replacement time interval of 11 days and a preventive replacement cost of Rp.3,080,679,253, bearing components have a preventive replacement time interval of 14 days and a preventive replacement cost of Rp.4,931,989,307, the gearbox component has a preventive replacement time interval of 33 days and a preventive replacement cost of Rp.11,621,532,829, and bolt and nut components have a preventive replacement time interval of 11 days and a preventive replacement cost of Rp.1,615,296,412.
PT. Hamdan Jaya Makmur是一家从事机械加工，工程，制造，冲压和贸易的公司，为中小型和现代工业生产产品。不完善的维修系统和正确的维修导致PT. Hamdan Jaya Makmur经常遇到机器故障。根据历史数据可以看出，SS-850型车床的停机时间非常高。因此，为了按目标生产，增加机器的可靠性，有必要对机器进行优化和预防性维护计划。本研究的目的是确定Hamdan Jaya Makmur工厂SS-850型车床部件预防性更换的时间间隔和成本。本研究采用的方法是年龄置换法，即通过确定关键部件，确定损伤分布规律，确定分布参数，计算MTTF和MTTR，其中得到的结果为预防性更换时间间隔，并计算预防性更换成本。研究结果表明:SS-850型车床上有4个关键部件，即电气部件，其预防性更换时间间隔为11天，预防性更换成本为3,080,679,253卢比;轴承部件，其预防性更换时间间隔为14天，预防性更换成本为4,931,989,307卢比;齿轮箱部件的预防性更换时间间隔为33天，预防性更换费用为Rp.11,621,532,829，螺栓和螺母部件的预防性更换时间间隔为11天，预防性更换费用为Rp.1,615,296,412。
{"title":"Penentuan Interval Waktu Penggantian dan Perbaikan Komponen Kritis Mesin Bubut Type SS-850 di PT. Hamdan Jaya Makmur Dengan Metode Age Replacement","authors":"T. Rachman, Darmiolla Natasia Watunglawar, M. D. Amperajaya, Septian Rahmat Adnan, I. Sriwana","doi":"10.25170/metris.v23i01.3547","DOIUrl":"https://doi.org/10.25170/metris.v23i01.3547","url":null,"abstract":"PT. Hamdan Jaya Makmur is a company that runs in the field of Machining, Engineering, Fabrication, Stamping, and Trading Company, which produces products for small, medium and modern industries. Less than optimal maintenance system with corrective maintenance causes PT. Hamdan Jaya Makmur often experiences machine failure. Based on historical data, it can be seen that the lathe machine type SS-850 experienced very high downtime. Therefore, it is necessary to plan optimal and preventive maintenance of the machine in order to produce according to the target and increase the reliability of the machine. The purpose of this research is to determine the time interval and cost of preventive replacement on components of the lathe machine type SS-850 at PT. Hamdan Jaya Makmur. The method used in this research is the Age Replacement method, namely by determining critical components, determining the distribution pattern of damage, determining distribution parameters, and calculating MTTF and MTTR, where the results obtained are preventive replacement time intervals, and calculating preventive replacement costs. The results obtained from this research are that there are four critical components on the lathe machine type SS-850, namely electric components with a preventive replacement time interval of 11 days and a preventive replacement cost of Rp.3,080,679,253, bearing components have a preventive replacement time interval of 14 days and a preventive replacement cost of Rp.4,931,989,307, the gearbox component has a preventive replacement time interval of 33 days and a preventive replacement cost of Rp.11,621,532,829, and bolt and nut components have a preventive replacement time interval of 11 days and a preventive replacement cost of Rp.1,615,296,412.","PeriodicalId":402087,"journal":{"name":"Jurnal METRIS","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126026917","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}
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