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All Journal Jurnal Sistem dan Manajemen Industri Jurnal INTECH Teknik Industri Universitas Serang Raya Jurnal InTent: Jurnal Industri dan Teknologi Terpadu Jurnal Teknik Industri Terintegrasi (JUTIN)
Aulia Kusumawati, Aulia
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Penentuan Lot Sizing Persediaan Bahan Baku Baja Tulangan Rini, Endah Setyo; Kusumawati, Aulia; Kusmasari, Wyke
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol 3, No 1 (2017)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v3i1.873

Abstract

This development poses a challenge to fulfill it by increasing the ability to provide or produce it. These conditions require companies to try to make their products available according to consumer needs. So the company should impose a system of Safety Stock, and ROP (Re-Order Point) or a message back point to ensure the availability of raw materials and the way of production. But sometimes the company doesnt pay attention to the lot size inventory efficiency issue. As a result, manufacturing companies tend to make large purchases without regard to the costs incurred. The purpose of this study is to identify safety stock, inventory costs, lot size, and reorder point for raw materials to then plan the billet raw material inventory. The data in the company has varying characteristics of the demand level so that the data is processed by the Lot Sizing Silver Meal method, the Economic Order Quantity and the Period Order Quantity. From the results of research and analysis, it is known that the safety stock of billet Q275 / 5SP raw materials is 1,046.68 tons and Re-order Points are 11758.04 tons. And from the three optimal lot sizing methods chosen, the Period Order Quantity method with the total cost of ordering raw materials per year is IDR 340,800.00 as much as four orders. Then inventory planning is carried out which results in a complete inventory cost of Rp 2,815,219,200 or resulting in cost efficiency of 17% compared to company policy which is Rp 3,407,764,327
Analisis Pengendalian Kualitas Air Minum dalam Kemasan Menggunakan Metode Six Sigma Widyarto, Wahyu Oktri; Firdaus, Azirwan; Kusumawati, Aulia
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol 5, No 1 (2019)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (230.918 KB) | DOI: 10.30656/intech.v5i1.1460

Abstract

Bottled drinking water is market with a variety of packaging, one of which is gallon packaging. Some of the problems that occur in the quality of the gallon are leaky gallons, broken gallons, dirty water, dirty bodies, and mossy gallons. This study aims to determine the company's baseline performance as seen from the value of Defect Per Million Opportunities (DPMO) and sigma level, identifying the causes of product defects. Discussions were carried out following DMAIC's steps on six sigma. Based on the results of data processing, it can see that the DPMO value is 662.46, and the sigma level is 4.84. This result can be the basis for the company to improve the performance of the quality of the products produced.
Pengendalian Kualitas Proses Pengemasan Gula Dengan Pendekatan Six Sigma Kusumawati, Aulia; Fitriyeni, Lailatul
Jurnal Sistem dan Manajemen Industri Vol. 1 No. 1 (2017)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (91.753 KB) | DOI: 10.30656/jsmi.v1i1.173

Abstract

The main factor to achieve business success in the era of globalization is quality. Quality control is key in maintaining customer loyalty. In the company's production process is still found the resulting product does not comply with the specified specifications. This study aims to determine the value of sigma and factors causing damage to the production process of bagging section For companies with quality control is expected to achieve corporate goals. In this study, the methods used is Six Sigma with define, measure, analyze, improve. Six Sigma result is measurement of company performance baseline at measurement stage that is company at condition 5,1 sigma with DPMO equal to 162,4532. The factors causing the disability of sugar packing are lack of research and skill of the operator, instability of conveyor speeds and jet engine position, machine hygiene condition, lack of weighing machine, and ineffective treatment, and control method.
PERBAIKAN KUALITAS PRODUK CANGKUL DENGAN METODE SIX SIGMA (DMAIC) DI BLKK AL-INSAN Nugraha, Akbar; Kusumawati, Aulia
Jurnal Intent: Jurnal Industri dan Teknologi Terpadu Vol 7 No 1 (2024): INDUSTRIAL
Publisher : Prodi Teknik Industri, Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/intent.v7i1.3536

Abstract

BLKK Al – insan is a company that produces hoe products located in Environment. Karotek RT/RW 001/002.Kalitimbang village Cibeber district Cilegon city. Cilegon City with the main raw material of iron plate and other supporting tools. BLKK Al - Insan is very hopeful in creating products that allow it to compete well in terms of quality in the market and wants a 3% defect standard in its production. In the production process of hoe products BLKK Al - insan has defect problems, namely Distortion, Porosity and Undercut which can cause problems in product quality in the targeted production amount and has a defect percentage of 23% in 4 months. The purpose of this study is to apply the si sigma method (DMAIC) to reduce product defects and determine the factors that cause product defects and provide alternative efforts to improve product quality. Based on the analysis result DMAIC obtained 3 critical to quality that’s is Distorsi, Porosity and Undercat, and obtained the average initial value DPMO 763,8 (2,94) after improvement, the DPMO value becomes 644.4 and the sigma level has increased to 3.02 and the defect percentage value becomes 19% based on the process improve using the kaizen method by proposing to use 5w+1H, Five M Cheecklist and Five Step Plan and developing standard operating procedures for the production process can determine the DPMO value and increase the six sigma value.
ANALISIS PENYABAB KERUSAKAN MESIN DENGAN MENGGUNAKAN METODE FAILURE MODE AND EFFECT ANALYSIS (FMEA) DI PT. SULFINDO ADIUSAHA Kusumawati, Aulia; Safitri, Salsabila; Amanda Putra, Levi; Ramayanti, Gina
Jurnal Intent: Jurnal Industri dan Teknologi Terpadu Vol. 7 No. 2 (2024): INDUSTRIAL
Publisher : Prodi Teknik Industri, Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/intent.v7i2.3898

Abstract

PT Sulfindo Adiusaha is a chemical company focused on operational efficiency and quality. The main issue faced is frequent machine breakdowns, particularly mechanical seal leakage, which disrupts production processes. This study aims to analyze the causes of damage using the Failure Mode and Effect Analysis (FMEA) method to determine repair priorities. The analysis results show that mechanical seal leakage has the highest Risk Priority Number (RPN) of 504, making it the top repair priority. The main causes of damage include human factors, maintenance methods, materials, and machine wear. Recommendations for improvement include operator training, replacing components with heat-resistant materials, and structured periodic maintenance. These steps are expected to enhance productivity and reduce downtime risks.
Analisis Peramalan dengan Metode Moving Average dan Exponential Smoothing dalam Perencanaan dan Pengendalian Produksi Pabrik Tempe Jombang Jorgi, Bernard; Kusumawati, Aulia; Prabowo, Zaki Agung; Hamdani, Mohamad; Gandhi, I Gusti Putu Setya; Nugraha, Ahmad Reza
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47312

Abstract

Production planning and control are essential aspects in ensuring smooth production processes, creating profitable products, and making sure products are available on time. The home industry for tempeh production located in Link. Jombang Kali, Jombang District, has been operating since 1993 and continues to this day. However, this tempeh factory often experiences fluctuations in production, including both overproduction and underproduction. Therefore, a study was conducted to evaluate and forecast the production levels for upcoming periods. Forecasting errors were evaluated using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percent Error (MAPE). The purpose of this study is to compare the Moving Average and Exponential Smoothing methods. The results of the analysis show that the Exponential Smoothing method produces lower error values, with MAD of 387.163, MSE of 261,914.1, and MAPE of 0.055349, compared to the Moving Average method.
Co-Authors Akbar Nugraha, Akbar Amanda Putra, Levi Firdaus, Azirwan Gandhi, I Gusti Putu Setya Gina Ramayanti, Gina Hamdani, Mohamad Jorgi, Bernard Lailatul Fitriyeni, Lailatul Nugraha, Ahmad Reza Prabowo, Zaki Agung Rini, Endah Setyo Safitri, Salsabila Wahyu Oktri Widyarto Wyke Kusmasari, Wyke