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All Journal Industri Inovatif : Jurnal Teknik Industri (JINSENG) Journal of Industrial Innovation and Safety Engineering
Anisa, Nurfadilah
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Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Transportation

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IDENTIFIKASI FAKTOR PENDUKUNG PERKEMBANGAN INDUSTRI REMANUFAKTUR DI KOTA BALIKPAPAN Anisa, Nurfadilah; Muqimuddin, Muqimuddin; Sa’adiyah, Devy Setiorini; Karim, Abdul Alimul
Industri Inovatif : Jurnal Teknik Industri Vol 14 No 2 (2024): Inovatif Vol. 14 No. 2
Publisher : Prodi Teknik Industri S1 Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/industri.v14i2.10287

Abstract

Perusahaan remanufaktur muncul sebagai alternatif berkelanjutan yang dapat mengurangi dampak lingkungan, menciptakan peluang ekonomi, dan mengatasi masalah sosial. Praktik ini mendukung Sustainable Development Goals (SDGs) dengan mengurangi penggunaan sumber daya dan limbah. Penelitian ini bertujuan mengidentifikasi faktor dari aspek lingkungan, ekonomi, sosial, dan pemerintah yang mendukung perkembangan industri remanufaktur di Balikpapan. Data dikumpulkan dari pemangku kepentingan dan dianalisis menggunakan Uji-t dengan SPSS. Hasilnya menunjukkan bahwa ada 6 faktor lingkungan, 3 faktor pemerintah, 5 faktor ekonomi, dan 4 faktor sosial yang mendukung pertumbuhan industri remanufaktur di Balikpapan. Dengan mengidentifikasi faktor-faktor kunci dari aspek lingkungan, ekonomi, sosial, dan pemerintah. Temuan ini memungkinkan pemangku kepentingan fokus pada aspek-aspek yang dapat mendorong pertumbuhan industri remanufaktur, mendukung tujuan pembangunan berkelanjutan, mengurangi limbah, meningkatkan efisiensi sumber daya, dan menciptakan peluang ekonomi baru di kota Balikpapan
IMPLEMENTASI ASSET HEALTH MANAGEMENT (STUDI KASUS PABRIK NPK) Anisa, Nurfadilah
Journal of Industrial Innovation and Safety Engineering (JINSENG) Vol 2 No 2 (2024): JINSENG Volume 2 Nomor 2 July 2024
Publisher : Jurusan Teknologi Industri dan Proses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/jinseng.v2i2.1035

Abstract

Effective asset management is a crucial factor in improving the efficiency and reliability of industrial equipment. However, in the implementation of technology-based asset management, an imbalance remains between the availability of equipment condition data and its utilization in maintenance decision-making. This study aims to evaluate the level of Asset Health Management (AHM) implementation through the use of the MX application and to identify issues that hinder comprehensive AHM implementation. The results show that the level of AHM implementation varies across equipment types, with 90% for mechanical equipment, 16% for instrument equipment, and 70% for electrical equipment. Of the 224 pieces of equipment registered in the AHM system, 7% had blank indicators due to unavailability of measurement data (no measurement) and 3% due to the absence of condition indicators (no indicator). In addition, several pieces of equipment were identified as being in critical high and caution high conditions, which could potentially reduce operational reliability if not addressed promptly. Based on the analysis, proposed improvements focused on adding measurement parameters and condition indicators to equipment experiencing blank indicators, as well as adjusting condition-based maintenance strategies for equipment with critical high and caution high status, such as measuring tire displacement against the shell, monitoring bucket condition, and inspecting thrust roller bearings. The implementation of this proposal is expected to improve the consistency of AHM implementation and support the optimization of MX application-based maintenance strategies.
Co-Authors Abdul Alimul Karim Devy Setiorini Sa’adiyah Muqimuddin Muqimuddin