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All Journal BULLET : Jurnal Multidisiplin Ilmu
Tiara
Universitas Indraprata PGRI
Humanities Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing

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Analisa Produktivitas Sistem Perawatan Mesin Penggiling Kedelai Menggunakan Metode Overall Equipment Effectiveness (OEE) Dan Failure Mode And Effects Analysis (FMEA) Dengan Pendekatan CMMS Di CV. Tahu Bandung NN Siska Wahyuningsih; Sri Hartini; Atikah; Tiara; Surya Perdana
BULLET : Jurnal Multidisiplin Ilmu Vol. 5 No. 2 (2026): BULLET : Jurnal Multidisiplin Ilmu (INPRESS)
Publisher : CV. Multi Kreasi Media

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Abstract

Machine maintenance is important to maintain smooth production, because a decrease in the condition and productivity of the machine can disrupt the production process. CV Tahu Bandung NN is a company that produces Bandung tofu and is located at Jl. Aridho, Jatimulya Village, Cilodong District, Depok City, West Java 16413. This study aims to determine the OEE value, the types of losses that most affect the machine, identify major failures, and compile an effective machine maintenance schedule to increase productivity. The methods used in this study are Overall Equipment Effectiveness (OEE), Six Big Losses, and Failure Mode and Effect Analysis (FMEA). The OEE method is used to measure machine effectiveness. Six Big Losses identifies six major losses that reduce machine performance, while the FMEA method analyzes potential component failures and determines the priority of handling them based on the level of risk. The results showed that the average value of the Overall Equipment Effectiveness (OEE) of the soybean grinding machine in November 2024 was 68.34%, still below the JIPM standard ≥85%, which indicates that the machine's effectiveness is not optimal. Six Big Losses analysis shows that the losses that most affect machine performance are Reduced Speed ​​Losses (35.60%) and Breakdown Losses (5.68%). The results of the analysis using the Failure Mode and Effect Analysis (FMEA) method show that the drive motor component has the highest RPN value of 252, making it a top priority in maintenance. The preparation of machine maintenance schedules can be done effectively using CalemEAM CMMS software.
Penguatan Kapasitas Tenaga Kesehatan Gigi Melalui Edukasi Growth Mindset Untuk Meningkatkan Adaptabilitas Dan Resiliensi Atikah; Tiara; Surya Perdana; Sri Hartini
BULLET : Jurnal Multidisiplin Ilmu Vol. 5 No. 3 (2026): BULLET : Jurnal Multidisiplin Ilmu (INPRESS)
Publisher : CV. Multi Kreasi Media

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Growth mindset refers to the belief that the abilities, intelligence, and skills of healthcare professionals can be developed through effort, dedication, and continuous learning. In the context of a dynamic and high-risk healthcare environment, this mindset plays a crucial role in fostering resilience and adaptability toward changes in procedures, technological advancements, and clinical challenges. This community service activity aimed to enhance the understanding and skills of dental healthcare personnel in developing an adaptive and resilient growth mindset. The program was conducted offline on December 16, 2025, at the Dental Health Academy of Ditkesad, employing lecture, discussion, training, and simulation methods. The materials covered included the concept of growth mindset, adaptive and resilient behaviors, and motivation in carrying out professional responsibilities as healthcare workers. The results showed an improvement in participants’ understanding of growth mindset and its relationship with adaptive and resilient attitudes in facing workplace challenges. Furthermore, participants demonstrated initial abilities to apply the growth mindset through case simulations and interactive discussions. By strengthening a growth mindset and engaging in continuous self-development, participants are expected to be better prepared to face professional challenges, improve their competencies, and achieve their career goals with greater confidence and focus.
Co-Authors Atikah Siska Wahyuningsih Sri Hartini Surya Perdana