Ersa Salsa Bilaffayza, Wahyudin Wahyudin, D. Herwanto
{"title":"Forecasting Demand of Moving Average and Linier Regression Methods in Predicting the Production of K93 Disc Brake Product (Case Study of PT United Steel Center Indonesia)","authors":"Ersa Salsa Bilaffayza, Wahyudin Wahyudin, D. Herwanto","doi":"10.25124/jrsi.v10i01.590","DOIUrl":"https://doi.org/10.25124/jrsi.v10i01.590","url":null,"abstract":"PT United Steel Center Indonesia is a manufacturing company engaged in the steel plate industry. The company produces various kinds of steel plate products and has various plants, one of which is the Disc Brake K93 product. The Disc Brake K93 product is a part request from the largest customer which often experiences significant changes, resulting in fluctuations and causing inventory to accumulate in the warehouse. Inventories that accumulate can cause losses for the company, due to improper waste according to planning, even less inventory can cause losses for the company because it can experience delays in delivery to customers. Forecasting is one method in planning to predict and help draw conclusions. Moving Average and Linier Regression methods are used in this study, and an analysis of the level of accuracy is carried out using the concistency of MAD, MSE, and MAPE as well as forecasting validation with Tracking Signal. Based on the results of processing and analysis, it is found that the linear regression method is the most accurate method in predicting Disc Brake K93 products for the 2022 period with an increase in production each month, the MAD value is 15242.23, MSE is 371649700, MAPE is 0.201, and the Tracking Signal is 0.","PeriodicalId":362249,"journal":{"name":"Jurnal Rekayasa Sistem & Industri (JRSI)","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362823","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":"Perbaikan Proses Produksi Pompa Air PS-128 BIT Menggunakan Metode Six Sigma di PT Tirta Intimizu Nusantara","authors":"Nadia Mufida, Anik Nur Habyba, J. Saragih","doi":"10.25124/jrsi.v9i02.560","DOIUrl":"https://doi.org/10.25124/jrsi.v9i02.560","url":null,"abstract":"Kepuasan pelanggan menjadi salah satu tolak ukur perusahaan dalam menjaga kualitas produk. Salah satu tipe pompa non-otomatis yang paling diminati adalah PS-128 BIT. Permasalahan pompa air yang terjadi karena persentase cacat masih berada di atas toleransi yang diinginkan perusahaan. Toleransi yang diberikan oleh perusahaan sebesar 3%, tetapi persentase cacat yang diterima oleh perusahaan sebesar 5.93%. Persentase tersebut didapatkan berdasarkan rata-rata persentase cacat dalam lima bulan (Juli – November 2021). Selanjutnya perusahaan perlu melakukan perbaikan terhadap kualitas produk pompa tersebut. Tujuan dari penelitian untuk meminimasi cacat produk untuk meningkatkan kualitas produk serta dapat memenuhi kepuasan pelanggan. Metode yang digunakan yaitu six sigma. Hasil penelitian mengidentifikasi bahwa terdapat dua jenis kecacatan yang dominan pada produk pompa yaitu mseal bocor dan o-ring bocor. Perhitungan nilai defect million per opportunity didapatkan sebesar 51,000 dan dikonversi menjadi tingkat sigma sebesar 3.135 dimana nilai ini masih dapat ditingkatkan agar tingkat produk cacat berkurang. Tindakan yang dapat dilakukan untuk mengatasi mseal bocor adalah berupa penggunaan checklist pemeriksaan part mseal serta o-ring bocor dapat ditangani dengan menggunakan alat bantu seperti air duster gun. Alat ini digunakan untuk membantu pembersihan part secara berkala guna memastikan part tersebut sudah bersih dan dapat dilakukan ke tahap proses produksi selanjutnya. Usulan perbaikan ini sudah dilakukan implementasi dengan hasil akhir tingkat sigma naik sebesar 3.262.","PeriodicalId":362249,"journal":{"name":"Jurnal Rekayasa Sistem & Industri (JRSI)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125656572","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}