p-Index From 2021 - 2026
12.103
P-Index
This Author published in this journals
All Journal Jurnal Teknik Industri KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan TEKMAPRO Journal of Industrial Engineering and Management JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) REKAYASA Sistemasi: Jurnal Sistem Informasi Briliant: Jurnal Riset dan Konseptual Journal of Industrial Engineering Management EKONOMIS : Journal of Economics and Business Jurnal Sistem Cerdas STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Matrik : Jurnal Manajemen dan Teknik Industri Produksi JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Teknika Jurnal Teknik Industri Terintegrasi (JUTIN) Nusantara Science and Technology Proceedings Indonesian Journal of Industrial Engineering & Management Juminten : Jurnal Manajemen Industri dan Teknologi Journal La Lifesci Journal La Multiapp JURNAL ILMIAH GLOBAL EDUCATION Indonesian Journal of Innovation Studies Jurnal Pengbdian Teknik Mesin Golden Ratio of Mapping Idea and Literature Format JAMBURA: JURNAL ILMIAH MANAJEMEN DAN BISNIS Jurnal Sains dan Teknologi Jurnal Teknologi dan Manajemen Industri Terapan Jurnal Teknik Mesin, Industri, Elektro dan Informatika Journal of Creative Student Research Electronic Journal of Education, Social Economics and Technology IIJSE Journal Serambi Engineering (JSE) Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Advance Sustainable Science, Engineering and Technology (ASSET) Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Academia Open Jurnal Kendali Teknik dan Sains
Claim Missing Document
Check
Articles

Analisis Perencanaan Penjadwalan Proyek Kapal X Menggunakan Metode PERT Valentino, Eki; Rochmoeljati, Rr.
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 9, No 1 (2024)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v9i1.21872

Abstract

PT. XYZ Indonesia is a state-owned company operating in the ship industry located in Surabaya, Indonesia. PT. XYZ produces merchant ships, warships, and general engineering projects. At PT. XYZ, there is a PMO (Production Management Office) division which has a job description to organize and analyze the schedule required to complete a shipbuilding project. This research uses the PERT (Program Evaluation and Review Technique) method which is used to determine 3 durations, namely optimistic duration, pessimistic duration, and the most likely duration to occur in the machine auxiliary sub-work process on the X ship. Of course PT. XYZ also prioritizes quality and timeliness in completing his projects, so that the name of PT. Friends, you can compete on a national and international scale in the shipping industry. Therefore, this research aims to determine the most effective schedule both in terms of cost and time. The data needed in this research is the master schedule data for the X ship project. In the research that has been carried out, it was found that the processing time of the auxiliary machine is 271 Day. Thus, the conclusion obtained from this research is that schedule analysis using the PERT method has more effective results compared to predetermined planning.
Pengendalian Kualitas Proses Produksi Paving Block K300 T-6 Dengan Menggunakan Metode Six Sigma Dan Failure Mode Effect Analysis (FMEA) Di PT. Pesona Arnos Beton Qothrunnada, Alisa; Rochmoeljati, Rochmoeljati
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 8, No 2 (2023): Mei 2023
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v8i2.1783

Abstract

PT Pesona Arnos Betom is manufacturing company engaged in the field of general contractor and supplier wich produces paving blocks, udith, box culverts, kanstin, sirtu, sand, coral, dark ash, and basecous. One of its superior products is the K300 T-6 paving block with a total production in February-August 2022 of 5,683,800 units and a total defect of 892,560 units. The purpose of this study is to control quality, minimize defects, and provide suggestions for improving the quality of the K300 T-6 paving block production process. This study uses the Six Sigma method and Failure Mode Effect Analysis (FMEA). From the results of the study, it can be seen that the average sigma value based on total defects from February to August 2022 is 3.43 sigma, which means that it still has not met the target towards the six sigma standard. The FMEA method is used to find out that gouge defects are dominant. Proposed improvements that need to be made are tightening the SOP for pallet arrangement and holding a pallet arrangement checking section, monitoring the loading and unloading process carried out by employees using heavy equipment, re-checking the dosage of hardener using automatic scales before being put into the mixer, checking the old ash content when producing dark ash before entering the paving production stage, and setting up the mixer machine for automatic 8 minutes operation.Keywords – FMEA, Paving Block, Quality Control, Six Sigma
Defect Analysis Using Fault Tree Analysis and Failure Mode Effect Analysis in Rubber Roll Production Rr. Rochmoeljati; Isna Nugraha
Nusantara Science and Technology Proceedings 4th International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3627

Abstract

XYZ is a company operating in the manufacturing and rubber roll service industry located in Indonesia. The frequent issue within the company is the occurrence of product rejects, leading to inefficient production processes. The research is conducted using the Fault Tree Analysis (FTA) method with recommendations for improvement from the Failure Mode and Effect Analysis. This method is employed to identify the causes of product rejection and provide preventive solutions to avoid such rejections. There are three types of rejects at PT. XYZ, namely blisters rejection with a probability of 1.137%, material impurities rejection with a probability of 1.18%, and PU rejection with a probability of 1.152%. The root causes of these rejections include operators rushing, operator fatigue, machines in need of maintenance, very short production deadlines, operator laziness, incomplete environmental cleanliness facilities, and operators joking around while working. As for recommendations to reduce and prevent the recurrence of these three types of rejections, they include regular machine maintenance, providing customers with longer estimated completion times than the actual estimates, and offering rewards to operators who meet targets without making errors.
Supply Chain Risk Assessment and Mitigation in Sugar Industry Sinta Dewi; Rr. Rochmoeljati; Chori Dwi Azizah; Christabela Jesselyn
Nusantara Science and Technology Proceedings 4th International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3637

Abstract

In the fulfillment of consumer needs, companies can experience several risks. To overcome possible risks, companies must be able to manage the supply chain effectively. The sugar industry has a complex supply chain, and at each stage of the supply chain, some risks must be taken into account. The purpose of this study is to determine the risks that may occur and prioritize risk mitigation strategies to minimize existing risks. This study uses the House of Risk method. From the results of House of Risk Stage 2, 13 risk mitigation actions were obtained to propose solutions to minimize the occurrence of risk agents.
Analysis of Waste in the Warehousing Process of PT. Asia Plastik sing Lean Warehousing and Improvement Strategy with Kaizen Method Putra, M. Rizqy Ifaldhi; Rochmoeljati, Rr.
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 2: June 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i2.22741

Abstract

PT Asia Plastik is a plastic packaging manufacturing company that specializes in injection and blow molding. In its warehousing management, PT Asia Plastik often experiences excessive waste with a high lead time of 419 minutes with a value added of 276 minutes. The method used is the application of Lean Warehousing with the Value Stream Mapping (VSM) method for mapping the flow of warehousing and information flow in the company, and making Process Activity Mapping (PAM) as an analysis tool. With Process Activity Mapping (PAM), it can be seen which process (time) is really important and which process (time) can be simplified or eliminated. A total of 50 activities were obtained with details of 16 Value Added activities, 7 Non-Value Added activities, and 27 Necessary Non-Value Added activities. Based on the results of the research, activity simplification and Big Picture Mapping were proposed with a total of 36 new activities compared to 50 old activities, a reduction of 14 activities. Then the time obtained is 370 minutes which was previously 419 minutes, saving 49 minutes. In addition, there are also proposals for improvement with the Kaizen method to reduce existing waste.
Quality Control of Janggelan Products Using Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA) Methods in UD. Rizqi Agung Faizal, M. Rizki Nur; Rochmoeljati, Rr.
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 2: June 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i2.22738

Abstract

UD. Rizqi Agung is one of the SMEs in Ngrayun, Ponorogo. This SMEs is one of the medium-sized SMEs that produces packaged drinks. The packaged drinks produced are drinks made from janggelan juice. UD. Rizqi Agung has a production process that is still semi-manual so that there are still products that still have defects in these products. The methods used are Statistical Quality Control (SQC) and Failure Mode and Effect Analysis (FMEA). SQC tools are check sheet, stratification, histogram, paretto diagram, scatter diagram, control chart, and cause and effect diagram. While FMEA is used for improvement of the results of the cause and effect diagram. Based on the results of research on Sari Janggelan products, the most dominant defect is obtained, namely Cup Dent defects (4.06%), followed by Leak defects (2.84%), Dented Cardboard defects (1.30%), and Label not Symetric defects (1.22%). Proposed improvements with FMEA obtained risks that have the highest priority level to make improvements to minimize the possibility of errors. The highest RPN values is 320 and 288 of the type of cup dent defect with proposed improvement recommendations, namely changing cup vendors to match the quality requested by SMEs and monitoring employee performance.
Analisis Peramalan Permintaan Consumable Material Pada Divisi Rekayasa Umum PT XYZ dengan Metode Time Series Menggunakan Software POM-QM Muhammad Zainur Roziqin; Rr. Rochmoeljati
Jurnal Serambi Engineering Vol. 10 No. 1 (2025): Januari 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Forecasting is an analytical method that involves calculations with both qualitative and quantitative approaches, which aim to estimate future events. Every company, including PT XYZ, needs an inventory control system to achieve optimal inventory levels. The problem that exists in the scope of supplying consumable materials in the General Engineering Division of PT XYZ is that every month there is often a shortage of consumable materials, especially in the 3 most frequently used consumable materials, namely UK 4'' x 6 Grinding Stones, DIA Roll Brushes. 1” X 4 ”L, and Wire Rod DIA. 1.2 MM. This research applies the Time Series Simple Moving Average and Weighted Moving Average methods as an approach to analyze historical data and forecast future material demand. To support this analysis, POM-QM software is used which has the ability to process and process time series data effectively. After the calculation is carried out, the results of UK 4 'x 6 Grinding Stone forecasting using the Weighted Moving Average method produce a 13th period forecast of 156 pcs. Forecasting Brush Roll DIA. 1 “X 4 ”L using the Weighted Moving Average method resulted in a 13th period forecast of 29 pcs. While forecasting Wire Rod DIA. 1.2 MM using the Simple Moving Average method resulted in a 13th period forecast of 630 kg.
Usulan Perencanaan Tata Letak Gudang Bahan Penolong Menggunakan Metode Class Based Storage di PT. XXX Muhammad Hadziqul Afkar; Rr Rochmoeljati
Jurnal Serambi Engineering Vol. 10 No. 1 (2025): Januari 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Warehouses play an important role in the logistics management of manufacturing companies, especially in supporting the smooth production process of PT. XXX, as the most complete fertilizer manufacturer in Indonesia. There are problems regarding the management of auxiliary materials warehouse, such as overstocking of some materials and sub-optimal warehouse layout. The purpose of this research is to optimise the warehouse layout of auxiliary materials at PT XXX by using the class-based storage (CBS) method and the fast moving, slow moving and non-moving (FSN) classification approach. The research method includes primary data collection through observation and interviews, as well as secondary data from the company's warehouse management system and references. According to the FSN analysis, there are three fast moving materials, seven slow moving materials and two non-moving materials. The layout optimisation results show that the main fast-moving materials increased by 10%, Al(OH)3 by 13% and Rough Jumbo Dolomite by 71%. In addition, non-moving materials such as acid clay and ferrous sulphate were removed, reducing the capacity of red clay by 64%. In this way, the class-based storage approach allows warehouse management to be more structured, efficient and responsive to operational needs.
Analisis Kualitas Produk Solid Flooring untuk Meminimasi Cacat dengan Metode Six Sigma dan FMEA Muhammad Ricky Suryawan; Rr. Rochmoeljati
Journal of Creative Student Research Vol. 1 No. 2 (2023): April : Journal of Creative Student Research
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jcsrpolitama.v1i2.1516

Abstract

PT. Kali Jaya Putra is a manufacturing company that focuses on the production of wood floors. One of the products produced is solid flooring. In a series of production processes, product defects are still found up to 7.5% of total production, defects that often occur such as cracks, pinholes, roughness, and also twists which certainly affect product quality. The research conducted aims to determine the percentage of defective products, the causes of defects and the resulting impacts or effects, and to provide recommendations for improvements to minimize the percentage of defects in solid flooring products at PT Kali Jaya Putra. The method used is Six Sigma and Failure Mode and Effect Analysis (FMEA). The results of this study are that the most dominating defects are crack (53.75%), followed by pinhole defects (36.77%), twist (8.62%), and roughness (0.85%). The causes of defects in products are caused by several factors such as humans, machines, methods, materials, and the environment. Based on FMEA, it is known that the cause of the defect with the highest RPN is 384, namely operator negligence in material sorting. As for recommendations for improvement that can be given, namely conducting training on the grading of raw materials in the hope of minimizing operator errors in sorting raw materials.
Waste Analysis in The Production Process Urea Fertilizer Using The Lean Six Sigma Method and Recommendations for Improving Failure Mode Effect Analysis (FMEA) at PT. Damai Sejahtera Tivani Nava Arier; Rochmoeljati Rochmoeljati; Isna Nugraha
Advance Sustainable Science Engineering and Technology Vol. 6 No. 3 (2024): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i3.579

Abstract

Agriculture plays an important role in the Indonesian economy, fertilizer is an important element in the development of the agricultural sector, especially urea fertilizer. PT. Damai Sejahtera, as one of the largest fertilizer producers in Indonesia, experienced waste in the urea fertilizer production process. In this study, lean six sigma was utilized. Using a lean approach, a reduction in non-value-added activities formed by the nine types of waste of 1360 to 1276 or 6.17% was achieved. However, using six sigma, it was found that the production process was not satisfactory as it resulted in many product defects with 36,331 DPMO and a sigma level of 3.32. Improvement suggestions to increase the sigma value were obtained through FMEA. Through this research, Process Cycle Efficiency was obtained from 74.85% to 80.35%.
Co-Authors Adham Roihan Azriel Irfani Afriza, Ajeng Agustina, Mega Alfan Afiyudin Alief Wahyu Pratama Alvionita, Selvi Amalia, Rochmatul Amelia, Avril Firda Annandita, Alifia Rizky Benedictus V.B.P. Benedictus Vibriyanto Bagas Prakosa Berliana D. Novitasari Berliana Dian Novitasari Brilian, Delinda Budiani, Dian Nissa Fitri Bustomy, Andrean Cantika, Devani Nendi Aurillia Chori Dwi Azizah Christabela Jesselyn Citra Wahyuning Dama Yanti, Alviani Dewi Aisarunnisa' Maunah Dimas Wandhika D Dira Ernawati Endang Pudji Widjajati Erlangga, Muhammad Daffa Erlina Erlina Fadilla Umeida Putri Faishal Hidayatulloh Faizal, M. Rizki Nur Fanani, Handre Syahrul Farica Raisa Vania Faris R, Mohamad Fatharisa Ingke Maulida Fatihul F, Ahmad Fenny Novianti Ferina Indah Lusiana Ferina Indah Lusiana Ferraldo Kusuma Artono Putra Ferraldo Kusuma Artono Putra Fibio Isnando Hariatmaja Pradana Fibio Isnando Hariatmaja Pradana Fitria Novi Ariestiyani Fuadah, Layin Ike Jihan Nabila Iriani Iriani Isna Nugraha Isna Nugraha Ivonne Rakha Salsabila Ivonne Rakha Salsabila Kamal Husein Kamal Husein Kezia Grace Sudarman Khusnun Nabila Khusnun Nabila Layin Fuadah Marcella, Sania Mardila Nur Imamah Marisa Tri Indra Nayu Aini Kurnila Marsya Laila Ahyaliya Maunah, Dewi Aisarunnisa' Meisufi, Ruro Wiranti Moch Taufik Hidayat Moch Taufik Hidayat Mochamad Ismail Zakaria Mochamad Ismail Zakaria Muhammad Hadziqul Afkar Muhammad Ilham Romadoni Muhammad Ricky Suryawan Muhammad Rizki Kurniawan Muhammad Zainur Roziqin Mutia Meilanda Nababan, Yohanes Nafa Artha Cahaya Mulia Nafa Artha Cahaya Mulia Nafa Artha Cahaya Mulia Nugraha, Isna Nugroho, Rosa Novarian Agninditya Pradana, Billy Gandis Prakosa, Albertus Adriyanto Satrio Pramudya, Kaka Arya Prasetyo Mukti Prasetyo Mukti Pratama, Alief Wahyu Primadhiya, Fairuzzayyan Pristyanto, Yafie Putra, M. Rizqy Ifaldhi Qanita Zahira Muhar Arifin Qothrunnada, Alisa R. A. Luthfi Asia Fergisya Raditya Dwi Firmansyah Raditya Y E Rafida, Halimas Nafi Rahandi Ramadhan Rahmadianto, Raihan Rahmawati, Dea Ramadhan, Muhammad Afif Ramadhani, Muthia Dita Rauhul Rahman Adam Rebeka P, Adhe Ridwan Alief Ramdhan Adi Ruro Wiranti Meisufi Sastya, Nur Cholifah Shafa, Aura Diva sholeha, fitriatus Sinaga, Boriski Sinta Dewi Sofia Fitri Anasari Sofia Fitri Anasari Subono, Muhammad Wibbie Wiweka Sumiati Sumiati Surya M Ramadhan Syarifah, Faranisa Aulia Ar Rahma Tiara Nuriyah Sani Tivani Nava Arier Tranggono Tranggono Valentino, Eki Vaundra Cunning Hangesthi Vaundra Cunning Hangesthi Widyarsa, Destiara Nabila Widyawati, Diana Windra R, Harys Wisnu Wardana, Wisnu Ya Fachrul Rasyid Ya Fachrul Rasyid Yustina N Yustina Ngatilah Zella Azzahra Achmadani