Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)最新文献

{"title":"OLAP Cube Processing of Production Planning Real-life Event Log: A Case Study","authors":"R. Andreswari, Mohammad Arif Rasyidi","doi":"10.2991/ICOIESE-18.2019.27","DOIUrl":"https://doi.org/10.2991/ICOIESE-18.2019.27","url":null,"abstract":"","PeriodicalId":172108,"journal":{"name":"Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125586992","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":"Data Mining Approach to Classify Tumour Morphology using Naïve Bayes Algorithm","authors":"Shahmirul Hafizullah Imanuddin, I. Darmawan, R. Fauzi","doi":"10.2991/ICOIESE-18.2019.51","DOIUrl":"https://doi.org/10.2991/ICOIESE-18.2019.51","url":null,"abstract":"Tumours are a very sickly disease and recorded as the second killer disease in the world. This is because until now tumour still not found a drug that can really cure it. In Indonesia itself has many people who have suffered from tumours. Ignorance makes people reluctant to observe the early symptoms of tumour. In addition, the hospital also has problems with what type of tumour is most common in the community and their target of socialization to the community and hospital environment. In this study, the topic of discussion focused on making patterns of tumour disease patients using Naive Bayes algorithm on Rapidminer tools using supporting variables of sex, age and place of tumour in the body. The output of this study is a posterior probability value of each variable with 66.76 percent accuracy. In addition there is also a density value in the form of a chart on each supporting variable. Keywords— Naive Bayes Algorithm, Classification, RapidMiner, Tumour.","PeriodicalId":172108,"journal":{"name":"Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126166327","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":"Measuring project performance using Earned Value Management (EVM) in XYZ software development project","authors":"Olivia Permata Ariputri, I. Puspita, W. Tripiawan","doi":"10.2991/ICOIESE-18.2019.42","DOIUrl":"https://doi.org/10.2991/ICOIESE-18.2019.42","url":null,"abstract":"The project of the research is a project-based service that develops customized reporting platform for the X multi finance company. It observed at the project execution stage and focusing on the monitor and control established in the project. The percentage of the problem occur based on the interviewees is 85% experience in over schedule and 15% experience in over budget. In order to increase the efficiency of the monitoring in the company, this paper proposed a monitoring method using Earned Value Management (EVM). This paper measured the project’s performance based on the last work performed after all the failure testing and errors are fixed. The research approach consists of the data collected, which are WBS, PV, EV, and AC of the project. The result of the performance measurements indicates the percentage of SV is 21% and SPI value is 0.79 showing the project is behind schedule for four weeks, while a percentage of CV is 9% over budget for the work perform and CPI value is 0.92 showing the project is over budget. The proposed suggestion is using EAC with value Rp157,802,419 to finish the work left and extend the project time for seven weeks based on the EAC calculation. Keywords— IT project, EVM, performance measurement, SPI, CPI","PeriodicalId":172108,"journal":{"name":"Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121990472","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":"An Inventory System For Packaging Material Under The Probabilistic Demand Using Joint Replenishment Method At Cocoa Company","authors":"Rafif Prayogi","doi":"10.2991/ICOIESE-18.2019.54","DOIUrl":"https://doi.org/10.2991/ICOIESE-18.2019.54","url":null,"abstract":"Abstrak Perusahaan XYZ adalah perusahaan yang bergerak di bidang industri cocoa yang ada di Bandung. Pada saat ini, Perusahaan XYZ mengalami masalah dalam mengendalikan sistem persediaan bahan kemasnya karena hanya ada satu supplier yang menyediakan bahannya, lead time yang bervariasi, jumlah stok bahan kemas yang tinggi dan menumpuk di gudang. Tujuan dari riset ini adalah untuk meminimasi total biaya persediaan, sistem ini terdiri dari tiga tahap. Pertama, menentukan permintaan untuk bahan kemas dan menguji distribusinya, klasifikasi menggunakan analisis ABC dan menguji distribusi dari lead time. Kedua, menentukan economic order interval dan order quantity, stok pengaman dan reorder point. Ketiga, menghitung total biaya persediaan. Analisis sensitivitas dilakukan untuk melihat efek dari perubahan parameter variabel input yaitu biaya pesan dan biaya simpan pada total biaya persediaan. Analisis sensitivitas dilakukan dengan rentang 5% hingga 25%. Dari riset yang telah dilakukan, sistem persediaan aktual pada perusahaan ini belum efisien karena kebijakan aktual yang belum optimal. Hal tersebut bisa dilihat dari jumlah overstock yang menghasilkan biaya tertanam yang tinggi, maka dari itu kebijakan aktual pada Perusahaan XYZ butuh perbaikan. Dari total 25 SKU bahan kemas, sistem persediaan yang diusulkan pada paper ini bisa menghemat sebsear 83.24% yaitu sebesar Rp174,342,981,-. Sistem usulan mempertimbangkan variasi dari lead time dan telah meningkatkan performansi persediaan. Keyword : joint replenishment, economic order interval, economic order quantity, safety stock, reorder point, Inventor Turnover (ITO) Abstract Company XYZ is a company runs in the cocoa industry located in Bandung. Currently, Company XYZ has the problem in controlling inventory system of packaging materials because there is only one supplier who supply the material, variation of lead time, high stocks of packaging material that pile up in the warehouse. The purpose of this research to minimize the cost of total inventory, this system consists of three stages. First, determining the demand for packaging material and testing the distribution of demand, classification using ABC analysis and testing distribution of lead time. Second, determine the economic order interval and order quantity, safety stock and reorder point. Third, calculate the total inventory cost. Sensitivity analysis is performed to see the effect of the change of variable parameter input of ordering cost and holding cost to total inventory cost. Sensitivity analysis is performed with a range of 5% to 25%. From the research that has been done, actual inventory system in this company has not been efficient because the actual policy is still not optimal. It can be seen from the number of overstocks that generate high embedded costs, then the actual policy in Company XYZ need improvement. From the total 25 SKUs of material packaging, Inventory system proposed in this paper can save 83.24% that is Rp171,342,981,-. Th","PeriodicalId":172108,"journal":{"name":"Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130719090","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":"Cost-Based Storage of the R-tree Aggregated Values over Flash Memory","authors":"Wojciech Macyna, Krzysztof Majcher","doi":"10.2991/ICOIESE-18.2019.18","DOIUrl":"https://doi.org/10.2991/ICOIESE-18.2019.18","url":null,"abstract":"The flash memory due to its shock resistance, power economy and non-volatile nature is considered as a very popular storage device. It is widely used in mobile phones, sensor networks and hand-held devices. What attracts the attention is the data storage in the flash memory. Database vendors try to adapt their systems to the flash memory architecture. To make it efficient, database indexes, such as: B-tree or R-tree, must be implemented from the scratch in order to take into account the flash memory limitations. The R-tree is wildly used in the geographical databases for indexing the spatial objects. The aggregated R-tree (aR-tree) extends the original R-tree with the aggregated values, which are connected with the nodes. In this paper, we deal with the materialization technique of the aggregated values in the aR-tree index. We claim that not all the aggregated values should be explicitly stored in the flash memory. We propose a Cost-Based Method which chooses the most beneficial set of the aggregated values for materialization. Our method is particularly beneficial for devices with limited capacity and is optimized for the flash memory architecture.","PeriodicalId":172108,"journal":{"name":"Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)","volume":"59 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129559308","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}