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Journal : Serambi Engineering

Identifikasi Potensi Bahaya Pekerja Pada Proses Welding Proyek Support Frame Menggunakan Metode HIRARC di PT. XYZ Ryan Setyo Putro Robawa; Joumil Aidil SZS
Jurnal Serambi Engineering Vol. 10 No. 1 (2025): Januari 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

The steel and construction industry is currently growing very rapidly due to the increasing demand from various parties who want to see the progress of infrastructure in Indonesia. Design, manufacturing, and construction are the activities of PT XYZ, a government company. The majority of initiatives are focused on the production of steel-based goods. As personnel in the fabrication and construction industry often come into direct contact with heavy machinery and materials while performing their duties, accidents and occupational diseases are hazards that are difficult to prevent. Welding is one area of work that has a high rate of accidents and occupational diseases. To ensure the welding process runs safely, this research seeks to identify potential risks and hazards that may arise and carry out risk control in each work activity. Qualitative descriptive techniques combined with risk analysis using the HIRARC method is the methodology used in this research. Based on the results of the study, overall there are fourteen possible risks, including two high categories, one medium category, and eleven extreme categories. By increasing employee awareness of occupational safety and health (OHS), PT XYZ can increase productivity without sacrificing employee welfare.
Implementasi Metode Autoregressive Integrated Moving Average Untuk Analisis Peramalan Permintaan Kalibrasi Pada PT XYZ Ivanda, Shabrina Tsalsabela; Joumil Aidil SZS
Jurnal Serambi Engineering Vol. 10 No. 1 (2025): Januari 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

In an era of increasingly fierce industrial competition, service optimisation and operational efficiency are the main keys for companies to maintain competitiveness. This study aims to analyse and forecast the demand for calibration services at PT XYZ using the Autoregressive Integrated Moving Average (ARIMA) method. Calibration demand is an important indicator in managing company resources, so accurate forecasts can help PT XYZ improve operational efficiency and service quality. The data used in this study is secondary data that includes calibration demand data. The analysis process is carried out through several stages, including model identification, parameter estimation and diagnostic testing to ensure that the resulting model optimally reflects the historical data patterns. The ARIMA (1,1,1) model was identified as the best model with a low forecasting error rate, namely the Mean Absolute Percentage Error (MAPE) of 2.04%. The forecasting results show a predicted calibration demand of 9 requests per month for the period November 2024 to April 2025. These results provide strategic insights for PT XYZ to manage resources more effectively, such as scheduling staff, managing equipment capacity, and reducing customer wait times. This study also confirms that the ARIMA method has a good ability to capture seasonal patterns and trends, thus providing accurate forecasts for strategic planning.
Analisis Penyebab Downtime Pada Mesin Produksi Pupuk NPK Granul Compaction Menggunakan Metode Root Cause Analysis di PT XYZ Hidayatullah, Fajar Rizky; Joumil Aidil SZS
Jurnal Serambi Engineering Vol. 11 No. 1 (2026): Januari 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

The fertilizer industry plays a strategic role in supporting agricultural productivity and national food security. However, production effectiveness is often constrained by machine downtime, which negatively affects operational performance. This study aims to analyze the main causes of machine downtime in the NPK granular compaction production process at PT XYZ and to propose appropriate improvement strategies. The research method employs downtime analysis using a Pareto diagram to identify the machine contributing the highest downtime, followed by root cause analysis using a Fishbone (Ishikawa) diagram and the 5W+1H method. The Pareto analysis results indicate that the Compact machine was the largest contributor to downtime during the October 2025 period, with a total duration of 395.23 hours. Fishbone analysis reveals that downtime is influenced by multiple interrelated factors, including machine, method, manpower, material, measurement, and working environment. Furthermore, the 5W+1H analysis shows that failures of key components such as the roller press, crusher chain, bearings, screen, and Teflon were caused by high workload, inadequate maintenance practices, non-compliance with standard operating procedures, substandard spare part quality, incomplete downtime records, and unfavorable working conditions. Based on the findings, strengthening the implementation of preventive maintenance is recommended as the primary strategy to reduce downtime, improve machine productivity, and enhance the overall efficiency of the NPK granular compaction production process.
Co-Authors A.N. Afandi Abdullah Iskandar Syah Abdullah Iskandar Syah Abyan Thariq Fadhilah Adam Ghivari Ahmad Bayu Laksono Ahmad Taufiq Al Afrin Uwais, Tito Aldha Asmaradanta Alfan Afiyudin Andini Fajarwati Andita Rizki Ramadani Angelia Hayuning Ariffa Anik Nur Handayani Aripriharta - Aryudho Widyatno Ashshiddiqi, Dimas Jundan Aulia Zulfa Indi Putri Aya Sofia Mufti Ayyub Ihza Gutawa Azhar Ahmad Smaragdina Azhar Muhammad Nurdin Azhar Muhammad Nurdin Basri, Nur Akhyar Bima Adhi Prasetya Wahyudi Bima Adhi Prasetya Wahyudi Budi Wibowotomo Budiasih Denny Yatmadi Dira Ernawati Diraya, Inayatun Dita Rochmawati Divya Aisha Diyah Ayu Wulandari Dwi Sukma Donoriyanto Dyah Lestari DYAH NURWIDYANINGRUM Erlina Fitri Aji Evie Dwi Jayanti Fahreza, M. Dimas Aviv Fakhruddin, Dhiyaurrahman Falah, Moh. Zainul Farah Wardatul Afifah Fatma, Nurul Fikri Fathoni, Afrizal Firman Syarif, Rangga Fitriyyatul Muslihah Fitrotul Bahri Affandi Fuad Indra Kusuma Ghaly Atha Maulana Hakkun Elmunsyah Haqiqi, Ahmad Faiz Risvan Hari Putranto Hari, Nirwana Haidar Harits Ar Rosyid Hasan Ismail Heru Wahyu Herwanto Hidayatullah, Fajar Rizky Imam Ghozali Irawan, Ivan Danar Aditya Irfan Fikri Akmalia Irgi Aditya Irham Fadlika Irma Rizky Aprillia Isna Nugraha Ivan Jeremias Tjioewinata Ivanda, Shabrina Tsalsabela Januari Adi Prasetya Jayanti Jiwa Prasetyaningtyas Jonathan Saputra Krisnawan, Shandy Langlang Gumilar M. Cahyo Bagaskoro M. Rodhi Faiz, M. Rodhi Mahfud Jiono Marcelani, Rigel Saesaria Marijatul Maghfiroh Maulida Dewi Amanda Michael Aria Irawan Moh Rofiki Moh. Amri Pradaka Moh. Zainul Falah Mohammad Shodiq Wahyu Riamto Mokh Sholihul Hadi Muhammad Abd. Hadi Bin Bunyamin Muhammad Aqshal Muhammad Cahyo Bagaskoro muhammad cahyo bagaskoro Muhammad Khoirul Hudha Muhammad Sandi Kurniawan Muhammad Tahfidlul Azmi Muis Muhtadi Muladi Mura, Karolus Boromeus Naizatul Zainul Rofiqi Nanang Winarno Nanda Firlana Nike Illiyine Pangestuti Nur Hidayat, Wahyu Parno Pradaka, Moh. Amri Pranata, Krisnayana Prastyo Utomo Puji Hariati Winingsih Raditya Chavvah Hesa Putra Raditya Chavvah Hesa Putra Raffi Taufik Gushardana Rahmah, Nuzulul Ramadhan, Moch. Rizal Ridho Riski Hadi Rindi Santika Agustin Riska, Fati Matur Rusindiyanto Ryan Setyo Putro Robawa Sakti Gunawan Irianto, Wahyu Saodah Omar Saputri, Avida Pramayshela Satriani, Cahya Tifandi Selviana Rohmatus Dania Shita Dwi Annisya Shita Dwi Annisya Siagian, Wiranty Tiara Wijaya Siti Sendari Sucipto Sunarti Syaad Patmanthara Syaifuddin Zuhri Tran Huy Duy Tranggono Tranggono Tri Wulan Sari Usman, Nurlatifah Utomo Pujianto Utomo, Imam Tree Vinna Mei Astuti Vivi Indah Lestari Wahyu Sakti Gunawan Irianto Wahyu Tri Handoko Yekti Condro Winursito Yekti Condro Winursito Yekti Condro Winursito Yuda Cahyoargo Hariadi Yuni Rahmawati Zainal Arifin Zainul Falah, Moh Zidan, Rahmat