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All Journal Jurnal Rekayasa dan Manajemen Sistem Industri Prosiding Seminar Nasional Official Statistics Jurnal Manajemen dan Teknologi Rekayasa Jurnal Multidisiplin Indonesia Serambi Engineering
Muhammad Faishal Jundana Muttaqin, Muhammad Faishal Jundana
Institut Teknologi Sumatera
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Veterinary

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ANALISIS KEPUASAN PASIEN DAN KARYAWAN DENGAN METODE HUMAN SIGMA PADA POLIKLINIK UNIVERSITAS BRAWIJAYA MALANG Muttaqin, Muhammad Faishal Jundana; Yuniarti, Rahmi; Lukodono, Rio Prasetyo
Jurnal Rekayasa dan Manajemen Sistem Industri Vol 6, No 1 (2018)
Publisher : Program Studi Teknik Industri Fakultas Teknik Universitas Brawijaya

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Abstract

Jika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui email faishaljundana31@gmail.com, rahmi_yuniarti@ub.ac.id, rio_pl@ub.ac.id.
Cluster Analysis Using K-Means Method to Classify Sumatera Regency and City Based on Human Development Index Indicator Muhammad Faishal Jundana Muttaqin
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.742 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1299

Abstract

Human development progress in Indonesia is characterized by the increasing score of Human Development Index (HDI). HDI is an important indicator in measuring efforts to build the quality and equity of human life. HDI consists of four variables including life expectancy at birth, school continuity, average of school continuity and expenditure per capita. In this study, we classify districts or cities on the island of Sumatra based on HDI into three categories; high, middle, and low area. We use cluster analysis for the research. Cluster analysis is a class of multivariate techniques that are used to classify objects or cases into relative groups called clusters. One of the cluster analysis methods is k-means. The result of this research divided into three Cluster. The first cluster or the middle area contained 41 cities. The second cluster or the high area contained 21 regencies/cities. The third cluster or the low area contained 92 regencies /cities. Areas with low scores are of more concern because all indicators are below the average value, these areas are like Pidie, Nias Utara, Pesisir Barat and etc.
Application of Lean Manufacturing in Tofu Production to Reduce Waste Muttaqin, Muhammad Faishal Jundana; Sholeha, Riska Wirdatus; Yanuarso, Hersa Dwi; Aulia, Lina; Wahyudi, Rizqi; Iqbal, Muhammad
Jurnal Multidisiplin Indonesia Vol. 3 No. 7 (2024): Jurnal Multidisiplin Indonesia
Publisher : Riviera Publishing

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DRK Tahu is a micro business producing various types of tofu, including white ones. This business is located in Gading Rejo District, Pringsewu. There are three types of waste found in the tofu-cutting process: transportation, delay, and storage. Transportation activities and delays cause a waste of time when completing the cutting process. The time required for the entire tofu cutting activity in one process is 832.65 seconds because the cutting work method still uses a wooden frame and a knife. The percentage of the value-added ratio before the improvement was made was 0.33%. This research aims to reduce waste and help optimize the cutting process to be more efficient and effective. The principle of lean manufacturing is used as a method for overcoming problems. The lean manufacturing tool used in this study is Process Activity Mapping (PAM). PAM is used to identify value-added, necessary non-value-added, and non-value-added activities so that the production process becomes lean. The analysis of the factors causing waste was carried out using a fishbone diagram. The proposed improvement for the cause of the problem is through designing a tofu-cutting tool. The implementation results are time savings of 153.87 seconds and an increased value-added ratio of 0.11%.
Eksperimen Kualitas Ketahanan Bakar Pada Briket Serbuk Kayu Menggunakan Metode Taguchi Muttaqin, Muhammad Faishal Jundana; Fredynanta Ginting S; Dimas Ardianto; Hizkia Debitus D. J; Hafidzul Muparrij
Jurnal Serambi Engineering Vol. 10 No. 3 (2025): Juli 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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This study discusses an experimental approach to producing briquettes from sawdust, with the aim of evaluating their burn durability using the Taguchi method. This method was employed to identify and optimize the key factor combinations involved in briquette manufacturing. The experiment tested three main factors—charcoal composition, tapioca flour (as a natural binder), and water (as a solvent)—each at two distinct levels. Four experimental combinations were conducted based on the L4 (2^3) orthogonal array, with each experiment replicated three times to ensure data reliability. The experimental results revealed that the tapioca flour factor (B) had the greatest influence on burn durability, followed by charcoal (A), while water (C) had a negligible effect. ANOVA results indicated that factor B contributed 12.52%, factor A 4.04%, and factor C only 0.01%, with the remaining 83.43% attributed to experimental error. The optimal combination for achieving the best burn durability was A1 (80 gr of charcoal), B1 (16 gr of tapioca flour), and C1 (120 ml of water). These findings offer practical implications for the development of efficient and environmentally friendly biomass-based alternative energy, and demonstrate the effectiveness of the Taguchi method in quality optimization processes.
Design of Recommendation Decision Support System ITERA Industrial Engineering Students' Final Project Topic with Method Case-Based Reasoning and Certainty Factors Yanuarso, Hersa Dwi; Kusuma, David; Muttaqin, Muhammad Faishal Jundana; Hadi, M. Zaky; Didin, Fatin Saffanah
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 1 (2026)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i1.3525

Abstract

Design of Decision Support System (DSS) for final project topic recommendation for ITERA Industrial Engineering students by integrating Case-Based Reasoning (CBR) and Certainty Factor (CF) methods used to support this research. A common problem is when determining the final project research topic, where most students have difficulty finding a topic that is in accordance with their respective fields of expertise. This causes the final project to take longer than the estimated standard time for graduates, which is normally between 4-5 years. The purpose of this study is to assist final year students in determining the final project title that suits their preferences and academic needs. The CBR method is used to search and compare cases based on case similarities with data contained in the database, while the CF value is applied to handle uncertainty and provide a level of confidence in the resulting recommendations. The results show that the integration of these two methods improves the accuracy and relevance of recommendations, as well as providing better transparency through the presentation of Certainty Factor values. System evaluation shows a high level of user satisfaction and a decrease in the time required to determine the final project topic. The design and development of a decision support system for final project topic recommendations was successfully carried out by integrating the Case-based Reasoning and Certainty Factor methods implemented on web hosting, performance evaluation and the impact of system use on user satisfaction showed that users felt satisfied when using the decision support system.
Co-Authors Abda Abda Aulia, Lina Didin, Fatin Saffanah Dimas Ardianto Fredynanta Ginting S Hadi, M. Zaky Hafidzul Muparrij Hizkia Debitus D. J Kusuma, David Rahmi Yuniarti Rio Prasetyo Lukodono Rizqi Wahyudi Sholeha, Riska Wirdatus Yanuarso, Hersa Dwi