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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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Abstract

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%.
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) methodsĀ 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.