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Analisis Kualitas Defect Produk Pupuk Dolomit dengan Metode New Seven Tools dan Failure Mode and Effect Analysis (FMEA) di PT. XYZ Prakosa, Albertus Adriyanto Satrio; Rochmoeljati, Rr.; Nugraha, Isna
Tekmapro Vol. 19 No. 2 (2024): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/tekmapro.v19i2.414

Abstract

PT. XYZ merupakan perusahaan yang bergerak dalam industri pupuk dan bahan tambang dolomit. Standar mutu komposisi hara yang terdapat pada pupuk yang dimiliki oleh PT. XYZ antara lain kadar magnesium oksida (MgO) sebesar 18-22%, kadar kalsium oksida (CaO) sebesar 29-30%, kadar air (H2O) <1%, kehalusan (mesh 100) lolos 95%. Permasalahan yang masih sering terjadi di PT. XYZ adalah pupuk yang dihasilkan tidak sesuai dengan standar yang telah ditentukan. Penelitian ini bertujuan untuk mengetahui faktor-faktor penyebab kecacatan serta usulan perbaikan yang dapat dilakukan untuk mengurangi defect. New Seven Tools merupakan alat-alat bantu yang digunakan dalam eksplorasi kualitatif meliputi beberapa tahapan yaitu Affinity Diagram, Interrelationship Diagram, Tree Diagram, Matrix Diagram, Matrix Data Analysis, Activity Network Diagram, dan Process Decision Program Chart (PDPC). Failure Mode and Effect Analysis (FMEA) adalah suatu prosedur terstruktur untuk mengidentifikasi dan mencegah sebanyak mungkin mode kegagalan (failure mode) dengan menghitung Risk Priority Number (Severity x Occurrance x Detection). Berdasarkan hasil penelitian dapat diketahui faktor-faktor yang menjadi penyebab kecacatan antara lain faktor manusia, material, metode, mesin, dan lingkungan, serta diketahui kecacatan kehalusan dengan nilai Risk Priority Number (RPN) tertinggi yakni 567 yang berarti menjadi prioritas untuk dilakukan usulan perbaikan.
OPTIMALISASI PENYIMPANAN GUDANG BARANG JADI (GBJ) DENGAN PEMETAAN SCOR DAN PENGUKURAN RISIKO MENGGUNAKAN METODE HOUSE OF RISK (HOR) DI PT.XYZ Rauhul Rahman Adam; RR Rochmoeljati
Tekmapro Vol. 19 No. 2 (2024): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/tekmapro.v19i2.417

Abstract

PT. XYZ, sebuah perusahaan manufaktur keramik terkemuka, berusaha untuk mengoptimalkan praktik manajemen gudangnya untuk memastikan efisiensi operasional dan kepuasan pelanggan. Penelitian ini bertujuan untuk menilai efektivitas kinerja dan mengurangi risiko yang terkait dengan manajemen gudang dengan menerapkan Sistem Manajemen Gudang (WMS) dan teknologi barcode. Survei kuesioner yang melibatkan 18 karyawan dari Gudang Barang Jadi dilakukan untuk mengevaluasi tingkat keparahan, kejadian, dan korelasi risiko dalam lingkungan gudang. Tes validitas dan reliabilitas data selanjutnya dilakukan untuk memastikan keakuratan respons. Dengan menggunakan kerangka House of Risk 1, didapat hambatan risiko dengan ARPj tertinggi adalah perencanaan penyimpanan salah sebesar 1085, jumlah stock tidak terdata jelas sebesar 984, dan stock produk terjadi kehilangan sebesar 822. Strategi mitigasi yang diambil dari House of Risk 2 adalah strategi mitigasi dengan nilai ETD tertinggi, yaitu penerapan sistem WMS (SM3) dengan nilai ETD 3902 dan penerapan sistem barcode (SM4) dengan ETD 2915. Strategi yang diidentifikasi bertujuan untuk meningkatkan efisiensi operasional dan meminimalkan risiko, memberikan wawasan berharga untuk meningkatkan praktik manajemen gudang di PT. XYZ
Analisis beban kerja pada pekerja Assembly Lavatory di PT INKA Multi Solusi dengan metode Workload Analysis (WLA) Primadhiya, Fairuzzayyan; Rochmoeljati, Rr
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 1 (2025): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i1.39704

Abstract

Lavatories are among the top items produced by INKA Multi Solusi, a manufacturing company that makes railway components. So the workload of workers needs to be considered, especially the assembly section because it rarely uses machine assistance with quite high demand. The time study approach was used to establish working hours, and workload analysis was used to determine the ideal workforce size. Three overload activities and two underload activities are identified based on the workload calculation. Meanwhile, the workload analysis results must be applied throughout the company to apply the ideal amount of workers., namely 2 people for installing partitions, 1 person for installing maulding, 2 people for piping, 2 people for installing closet sets, and 2 people for installing doors. Additionally, INKA Multi Solusi has established the right total number of employees based on the research.
ANALYSIS OF PRODUCT QUALITY BOGIE SET S2HD9C USING SIX SIGMA AND FMEA METHOD AT PT. BARATA INDONESIA (PERSERO) Ramadhani, Muthia Dita; Rochmoeljati, Rr.
Journal of Industrial Engineering Management Vol 9, No 1 (2024): Journal of Industrial Engineering and Management Vol 9 No 1
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v9i1.1710

Abstract

Product quality is critical for businesses to survive and thrive in the marketplace. Likewise with PT. Barata Indonesia (Persero), which always wants to provide good product quality for customer satisfaction, PT. Barata Indonesia (Persero) is a State-Owned Enterprise (BUMN) in the manufacturing sector, which has a business line in the foundry or foundry sector, one of which is the production of train components. The company's difficulty is that there are still problems in producing the S2HDC bogie set, such as break mold, porosity, slag, and crack. This study aimed to analyze the quality of the Bogie Set S2HD9C product using the six sigma method and propose improvements using Failure Mode and Effect Analysis (FMEA). The research results found that the percentage of defects that occurred during August 2022 - January 2023 was porosity of 40.38%, break mold of 30.77%, crack of 17.31%, and slag of 11.54%. To obtain an average DPMO of 14191 with a sigma value of 3.69. The causes of these defects are caused by human, material, machine, method, and environmental factors. From the FMEA analysis, the defect's cause is the highest RPN value of 392, with the proposed improvement to closely monitor the cleaning process and recheck the core box in every process that will use the mold.
Improving Shoe Product Quality Through the New Seven Tools Approach and Failure Mode Effect Analysis (FMEA): Perbaikan Kualitas Pada Produk Sepatu Melalui Pendekatan New Seven Tools Dan Failure Mode Effect Analysis (FMEA) Subono, Muhammad Wibbie Wiweka; Rochmoeljati, Rr.
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1843

Abstract

General Background: Quality control is essential for ensuring competitiveness in manufacturing industries, particularly in footwear production. Specific Background: UD. XYZ experiences a defect rate of 12.85%, exceeding the company standard of 5%, indicating systemic issues in its production process. Knowledge Gap: Previous studies have utilized New Seven Tools and FMEA, yet have not sufficiently integrated both methods to produce comprehensive improvement recommendations tailored to the root causes of shoe defects. Aim: This study aims to identify defect-causing factors and propose corrective actions using combined New Seven Tools and Failure Mode and Effect Analysis (FMEA). Results: Analysis revealed 27 proposed improvements through the PDPC, with 25 deemed feasible, while FMEA identified untidy sewing as the most critical failure mode, with the highest RPN value of 336. Novelty: This study offers an integrated diagnostic–corrective framework that systematically links qualitative mapping tools with quantitative risk prioritization to strengthen quality improvement strategies. Implications: Findings provide actionable guidance for enhancing worker performance, machine calibration, material handling, and production methods, supporting sustained quality enhancement in the footwear industry. Highlights: Identifies key defect sources in shoe production using integrated qualitative and quantitative methods. Highlights untidy sewing as the most critical issue based on the highest RPN value (336). Provides feasible improvement actions, with 25 of 27 recommendations implementable for quality enhancement. Keywords: Quality Control, New Seven Tools, FMEA, Shoe Manufacturing, Defect Reduction
Analysis of Waste in Traffic Services on The Surabaya-Gesik Toll Road for Optimization with Lean Service Method at PT Margabumi Matraraya Tiara Nuriyah Sani; Rr. Rochmoeljati
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 2 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i2.6332

Abstract

PT Margabumi Matraraya is a company engaged in the management and operation of the Surabaya-Gresik toll road. This company is responsible for ensuring that the toll road operations run smoothly in accordance with the established service standards. However, in the toll road traffic service process, inefficiencies are still found, such as long customer waiting times, miscommunication, repeated reporting, inefficient routes, less than optimal workforce performance, and excessive service. This study aims to apply the lean service concept to improve efficiency in the toll road service process and provide recommendations for improvements to reduce waste. The methods used include Value Stream Mapping (VSM), Value Stream Analysis Tools (VALSAT), and Root Cause Analysis (RCA). The results of the analysis using VSM showed that the initial service lead time was 265 minutes with non-value-added activities of 5.96%. After the implementation of the improvement recommendations, non-value-added activities were eliminated, so that the lead time was reduced to 228.2 minutes, or equivalent to a time reduction of 13.89%. The proposed improvement recommendations are optimization of communication systems, application of GPS technology for real-time location monitoring, and improvement of training for officers to maximize human resource potential.
Quality Control Analysis of Sugar Production Process with FTA and FMEA Methods in PT XYZ Mardila Nur Imamah; Rr. Rochmoeljati
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 3 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i3.6610

Abstract

One of the sugar factories built by the Indonesian state as an effort to revitalize the national sugar industry through the use of modern technology is PT XYZ. However, this sugar factory is experiencing problems with the results of testing the production of white crystal sugar which has defects that are not in accordance with the quality requirements of white crystal sugar with SNI number 3140-3: 2020. Defects that occur include defects in sugar moisture content, sugar solution color, grain size, and sugar crystal uniformity. This study was conducted to determine the factors that can affect the occurrence of defects in the white crystal sugar production process at PT XYZ and how the proposed improvements can be implemented to control the quality of white crystal sugar products at PT XYZ. The methods used in this research are the Fault Tree Analysis (FTA) and Failure Mode and Effects Analysis (FMEA) methods. Based on calculations using the Fault Tree Analysis method, the calculated probability results for each type of defect, namely large grain defects, moisture content, color, and sugar crystal uniformity, are 0.000657%, 0.000889%, 0.001597%, and 0.000662%, respectively. The FMEA method obtained a large grain type defect with the highest RPN value of 120 (High). Large grain type defects cause white crystal sugar to not conform to market specifications and dissolve more slowly. In the second rank, there is a defect in water content with an RPN value of 112 (medium). Quality control should be carried out regularly and continuously so that it can be a reference for continuous improvement in the future.
Analysis of Furniture Product Defects Using Fault Tree Analysis and Root Cause Analysis Methods Anasari, Sofia Fitri; Rochmoeljati, Rr.
Journal La Multiapp Vol. 6 No. 6 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i6.2227

Abstract

PT WW is a furniture company that uses teak wood as its main material. Factory 1 often experiences product defects because it handles the initial production stage. This study focuses on the SP-15 chair, the company’s best-selling product, which has a defect rate of 15.2%, far above the company tolerance of 5%. The research aims to reduce these defects using the Fault Tree Analysis (FTA) method and provide improvement recommendations. Observations revealed three defect categories with eleven basic causes. The most dominant defect is rupture, with 2726 units and a probability of 0.0085 or 0.85%. Meanwhile, the lowest defect type is incorrect process, with 835 units and a probability of 0.0034 or 0.34%. Because rupture has the highest probability, improvement efforts are urgently needed. Proposed corrective actions include developing and applying SOPs for wood processing, installing visual guides in the work area, establishing standard work procedures, and providing short operator training. Additional recommendations include routine technical training and competency tests, guidelines for machine pressure settings based on wood type, and operator instruction on adjustment. Regular maintenance schedules should also be established, with visual operation guides placed near machines to ensure operators follow correct steps. These efforts are expected to reduce defects and improve the quality of SP-15 chair production at PT WW.
Analysis of Waste in Electronic ID Card Services with Lean Service and Root Cause Analysis Methods Ahyaliya, Marsya Laila; Rochmoeljati, Rr.
Journal La Multiapp Vol. 6 No. 6 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i6.2446

Abstract

Optimal service is essential to ensure citizen satisfaction in managing population administration. This study analyzes waste in the Electronic ID Card (KTP Elektronik) service process using the Lean Service and Root Cause Analysis (RCA) methods. The research was conducted at Office X through direct observation, interviews, and the distribution of questionnaires to eight respondents directly involved in the service process. The collected data included service process flows, activity durations, waste identification, and their root causes. Using the Value Stream Mapping (VSM) method and VALSAT tools, it was found that the total lead time was 1,953 seconds, but only 238 seconds (13%) were categorized as value-added activities. The dominant types of waste identified included waiting, duplication, defects, and unnecessary movement. Based on the score calculation results, Process Activity Mapping (PAM) was selected as the main VALSAT tool. RCA analysis using fishbone diagrams and the 5 Whys method revealed root causes such as inaccurate queue time estimates, repeated data entry, lack of supporting facilities, and inefficient workplace layout. The improvement recommendations include optimizing the online queuing system and adding supporting equipment such as tripods and printers. After improvements were implemented, the service time was reduced to 898 seconds, and the proportion of value-added activities increased to 27%, indicating that the application of Lean Service and RCA was effective in improving service efficiency.
Waste Analysis in Connection Clamp Production Process with Lean Manufacturing and Failure Mode Effect Analysis Hidayatulloh, Faishal; Rochmoeljati, Rr.
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2820

Abstract

UD H and M Electric is a manufacturing company engaged in the production of medium voltage overhead line (SUTM) components, one of its products is the Connection Clamp. The purpose of this study is to determine the level of waste that occurs and provide suggestions for improvements to reduce waste. The research data used is questionnaire data with respondents who meet the qualifications and know the entire flow of the Connection Clamp production process, as well as waste data that occurs during the production process. To determine the level of waste that occurs and provide suggestions for improvements, the Waste Assessment Model, Process Activity Mapping, Fishone Diagram, and Failure Mode and Effect Analysis methods are used. In the Waste Assessment Model method, the top three critical levels of waste were obtained, namely waste defect of 19.55%, waste motion of 16.88%, waste transportation of 16.10%. In the Failure Mode and Effect Analysis, the Risk Priority Number (RPN) value was obtained from the top three wastes with each sub-waste, namely waste motion sub-waste lifting products manually with a score of 280, waste motion sub-waste rearranging before the process with a score of 240, waste transport, namely the distance of the work station is less than optimal with a score of 200, waste reject sub-waste cracked plates with a score of 168, waste Defect, namely imperfect layers with a score of 168.