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Meningkatkan output produksi dengan mengurangi downtime menggunakan metode DMAIC di Industri atap semen fiber Imbuh, Imbuh Rochmad; Hamonangan Girsang; Kukuh Mahi Sudrajat
JENIUS : Jurnal Terapan Teknik Industri Vol 6 No 2 (2025): JENIUS: Jurnal Terapan Teknik Industri
Publisher : LPPMPK - Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/jenius.v6i2.1772

Abstract

Persaingan bisnis terus meningkat, terutama industri atap fibersemen. Hal ini ditandai dengan semakin banyaknya industri sejenis yang bermunculan. Untuk mempertahankan kelangsungan bisnisnya berbagai upaya perbaikan harus dilakukan oleh pelaku bisnis atap fibersemen, salah satunya adalah penerapan Lean Manufacturing. Penelitian ini dilakukan pada salah satu line mesin di industri atap fibersemen dengan stoppages/downtime mesinnya 4.45%, hal ini menjadi masalah besar terhadap hasil produksi. Perusahaan hanya memberikan batasan stoppages/downtime setiap mesin sebesar 2%. Tujuan penelitian ini adalah mengetahui penyebab utama dari downtime mesin, kemudian menentukan tindakan perbaikan sebagai implementasi Tingkat Kesiapterapan Teknologi Level 8. Metode yang digunakan adalah DMAIC. DMAIC meliputi tahapan define, measure, analyze, improve dan control. Setelah diidentifikasi ternyata permasalahan menunjukkan bahwa proses pemotongan menggunakan water jet merupakan penyebab utama downtime. Tindakan perbaikan berupa penggantian sistem pemotongan menjadi circular saw. Hasil perbaikan ini dapat menurunkan downtime mesin sebesar 70% dari masalah utama yang sudah ditentukan.
Development of an IoT-Based Prototype for Optimizing Hazardous Materials and Equipment Storage to Enhance HSE in Laboratories Silviana Windasari; Abdurohman Abdurohman; Imbuh Rochmad; Setiyo Budiyanto
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.414

Abstract

Laboratory incidents are often precipitated by misplacement of hazardous materials and delayed recognition of unsafe conditions. Earlier laboratory safety solutions typically centered on sensors and dashboards, including IoT monitoring, improve situational awareness but remain largely reactive, operate at room/building scale, seldom enforce item-level storage rules, and rarely report alert selectivity (false-alarm behaviour). This work presents a compact prototype that combines RFID-based storage-zone verification with environmental sensing to support Health, Safety, Security, and Environment (HSSE) compliance at the storage-unit level. An ESP32-based controller integrates three RFID readers (low/medium/high-risk compartments) with temperature humidity and gas sensors; data are streamed to an IoT interface for real-time visualization and notification (e.g., implemented via Blynk), while rule-based logic triggers local (buzzer) and remote alerts when a tagged item is placed in the wrong zone or thresholds are exceeded. A scenario-driven evaluation across 18 cases (correct/mismatched placements for representative items) yielded 100% RFID tag detection and placement validation, an average response time of 2.37 s, and no false alarms under correct placements. These results indicate that joining placement verification with multi-sensor monitoring provides selective, low-latency warnings while avoiding nuisance alerts, establishing quantitative baselines for scalable smart-laboratory HSSE enforcement.