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All Journal Indonesian Journal of Law and Economics Review JISO : Journal of Industrial and Systems Optimization
Darmaji, Muhammad
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Economics, Econometrics & Finance Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Transportation

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EVALUASI POTENSI BAHAYA KESELAMATAN DAN KESEHATAN KERJA (K3) PADA PT. MMI - GRESIK Darmaji, Muhammad
JISO : Journal of Industrial and Systems Optimization Vol. 2 No. 2 (2019): Desember 2019
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v2i2.94-103

Abstract

PT. MMI merupakan perusahaan yang bergerak dibidang industri furniture kayu, pada saat ini telah menjadi perusahaan yang mengeskport produknya dengan tujuan eksport ke USA, perusahaan ini terletak di kabupaten Gresik, jawa timur. Proses produksinya banyak menggunakan alat dan mesin yang dapat menyebabkan kecelakaan kerja. Data perusahaan menunjukan terdapat 47 kasus kecelakaan kerja pada tahun 2016 – 2017 yang masing masing 22 kasus pada tahun 2016 dan 25 kasus pada tahun 2017. Dengan demikian perlu tindakan perbaikan guna menghindari terjadinya kerugian untuk perusahaan maupun pekerjanya. Dalam penelitian ini digunakan metode pendekatan yaitu metode Failure Mode and Effect Anlaysis  (FMEA) dan kemudian dilanjutkan dengan metode Job Safety Analysis (JSA) . Berdasarkan perhitungan yang dilakukan dengan metode FMEA  dengan RPN tertinggi yaitu 240 yaitu Terjepit Mesin Dengan effect failure mode Jari telunjuk robek dan hampir putus terjadi pada bagian Laminating, Untuk tertinggi kedua dengan nilai RPN 64 yaitu Tertimpa Bahan Baku (Kayu) terjadi pada bagian Saw timber. Sedangkan tertinggi ketiga dengan nilai rata – rata RPN 64 juga yaitu Tertimpa Barang (saat hendak memindahkannya) terjadi pada bagian Finishing. Tahapan selanjutnya menggunakan metode job safety analysis diperoleh 3 pekerjaan yang dianggap kritis yaitu pekerjaan pada bagian Saw Timber, Laminating, dan Finishing.
Optimizing Catfish Farming Through IoT-Driven Water Quality Management: Mengoptimalkan Budidaya Ikan Lele Melalui Manajemen Kualitas Air Berbasis IoT Darmaji, Muhammad; Wisaksono, Arief
Indonesian Journal of Law and Economics Review Vol. 19 No. 4 (2024): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijler.v19i4.1164

Abstract

General Background: Catfish play a significant role in the global fishing industry, necessitating effective farming practices to enhance productivity and sustainability. Specific Background: However, challenges such as maintaining optimal water quality in aquaculture ponds, particularly concerning ammonia levels and temperature fluctuations, pose threats to catfish health and production efficiency. Knowledge Gap: Previous research has often focused on single-parameter monitoring, lacking comprehensive systems that integrate real-time data for both ammonia and temperature management. Aims: This study aims to develop an advanced Internet of Things (IoT) system for real-time monitoring and control of ammonia levels and water temperature in catfish ponds, facilitating optimal farming conditions. Results: The implemented system utilizes two sensors to measure ammonia and temperature, integrated with the Blynk IoT platform for remote monitoring. The findings indicate that when water temperature exceeds 26 °C, the water pump activates to regulate temperature, while ammonia levels above 5 NH3 trigger the aerator to enhance oxygen levels and reduce ammonia toxicity. Novelty: This research innovatively combines multiple sensors and modern IoT applications, offering a more robust solution for aquaculture management compared to previous studies. Implications: The monitoring system effectively maintains water quality, enhancing catfish farming sustainability and efficiency, emphasizing the need for technology integration in aquaculture to effectively tackle environmental challenges. Highlights: Real-time Monitoring: Continuous tracking of ammonia and temperature levels. Automated Control: Activates pumps and aerators based on set thresholds. Enhanced Sustainability: Supports healthier catfish and optimizes production efficiency. Keywords: Catfish Farming, IoT, Water Quality Monitoring, Ammonia Control, Temperature Management
Co-Authors Arief Wisaksono