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All Journal JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Teknika: Jurnal Sains dan Teknologi MUST: Journal of Mathematics Education, Science and Technology Jambura Journal of Mathematics Budimas : Jurnal Pengabdian Masyarakat Jurnal Statistika dan Matematika (Statmat) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika JINAV: Journal of Information and Visualization Journal of Mathematics Education and Science Jurnal Pengabdian dan Edukasi Sekolah (Jubaedah) Jurnal Abdimas Bina Bangsa National Conference on Applied Business, Education & Technology (NCABET) Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri Ngabdimas
Miftahul Huda
Universitas Bina Bangsa
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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Journal : Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri

 1 
ANALISIS PENGENDALIAN KUALITAS PRODUK SARI ROTI SELAI NANAS MENGGUNAKAN STATISTICAL QUALITY CONTROL Sukmawati, Sri; Huda, Miftahul; Panulisan, Bambang Setyo; Mahardika, Angga Roby
Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 3 No. 2 (2023): Jurnal Taguchi : Jurnal Ilmiah Keilmuan Teknik dan Manajemen Industri
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/tgc.v3i2.139

Abstract

PT Nippon Indosari Corpindo, Tbk is one of the largest bread companies with the Sari Roti trademark in Indonesia. Based on the results of observations and data obtained at the Production Department, it was found that bread products from various bread variants were found to produce pineapple jam bread every day producing +/- 2000 pcs/day. There were still defects found in 2.88% of the total production. This research uses a quantitative approach with the data processing analysis used is the Statistical Quality Control (SQC) method. The research results show that controlling production quality in an effort to reduce the number of defects in pineapple jam bread products at PT. Nippon Indosari Corpindo, Tbk, using the Statistical Quality Control method, can determine defects that occur using the Pareto diagram to find the cause of the number of defects in pineapple jam bread products, the most dominant of which is stiff/does not rise with a total of 34.59%. From the fishbone diagram, it can be seen that defects in pineapple jam bread products are caused by human factors that are less careful, and also by machine factors whose standard usage exceeds the standard limits
ANALISIS PERENCANAAN KEBUTUHAN BAHAN BAKU PALLET KAYU DENGAN MATERIAL REQUIRMENT PLANNING DI PT. MITRA ATHMAR BERKAH Mauludi, Refan; Huda, Miftahul; Doto, Doto; Panulisan, Bambang Setyo
Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 4 No. 1 (2024): Jurnal Taguchi : Jurnal Ilmiah Keilmuan Teknik dan Manajemen Industri
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/tgc.v4i1.167

Abstract

PT. Mitra Athmar Berkah is a company that produces wooden pallets. In 2022, this production reach 38.201 units. Over time, several problems have occurred, one of which is the occurrence of shortages of raw material inventory resulting in delays in the production process. The purpose of conducting this research is to produce planning for the raw material requirements for pallet. The method used in this study is Material Requirement Planning (MRP) with Lot sizing used, namely Lot for Lot (LFL), Economic Order Quantity (EOQ), and Period Order Quantity (POQ). The data processing and analysis results show that the chosen forecasting method is Exponential Smoothing , because the error values of MAD, MSE, and MAPE have the smallest error values compared to other forecasting methods. While the lot sizing on the MRP method chosen is the Lot for Lot (LFL) method because it produces a total inventory cost of IDR 420,080,525.00. The conclusion of this study is to obtain raw material requirements for the coming year and to know the optimal amount of inventory costs from the selected lot sizing
Co-Authors Agusyarif Rezka Nuha Ajeng Nur Setyana Alfian Firmansyah Amrillah, Mu’tasim Bi April Laksana Asep Rahmatullah Asminah Aswata Wisnuadji Atika Ratna Dewi Aziz, Fino Kartana Basuki Rakhim Setya Permana Doto, Doto Eneng Rustia Fajri Ikhsan Fajri Ikhsan Fipiariny Gagah Dwiki Putra Aryono Gushelmi Hambali, Ikbal Himmatul Mursyidah Intan Sari Kenedi, Kenedi Kevin Dion Valen Boy Lukmanul Hakim Mahardika, Angga Roby Mahuda, Isnaini Maifuza Binti Mohd Amin Maulani, Nenden Gustika Mauludi, Refan Nina Valentika Panulisan, Bambang Setyo Pertiwi, Sari Putri Rachmawan Pramuliatama Rani Septiani Sukandar Ratu Nihayah Nur Azizah Ridho Ananda Rizqi Fauzi Sarmila Sarmila Sholihin, Badru Sidik Susilo Sopianti, Nadila Aulia Sri Istiyarti Uswatun Chasanah Sri Istiyarti Uswatun Chasanah Sri Istiyarti Uswatun Chasanah Sri Sukmawati Sukmawan, Irwan Syarif Abdullah Yazid Rukmayadi