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Implementation of Occupational Safety and Health (K3) in Community Workers of Pulau Pinang, Malaysia Isradi, Muhammad; Amin, Mawardi; Hidayat, Acep; Susetyo, Budi; Vidayanti, Desiana; Indriany, Syilvia; Biantoro, Agung Wahyudi; Jawu, Patricia Kanicia
THE SPIRIT OF SOCIETY JOURNAL : International Journal of Society Development and Engagement Vol 7 No 2: March 2024
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/scj.v7i1.2657

Abstract

Based on data from Bank Indonesia, there are 1.67 million Indonesian migrant workers in Malaysia, both in the formal and non-formal sectors. One of the destinations for Indonesian migrants is Pulau Pinang, Malaysia. PERMAI stands for Pertubuhan Masyarakat Indonesia di Pulau Pinang Malaysia, which is a non-governmental, non-political NGO engaged in social education and culture. Efforts to apply occupational safety and health (K3) to workers are very important for workers when carrying out work activities. Especially for employees who work in a work environment that has high safety and health risks, work safety in the company is not only caused by the system that has been implemented by the company but also by the awareness of everyone to avoid work accidents. The purpose of this activity is to provide an introduction to occupational health and safety (K3) to business owners and workers who are in Pulau Pinang, Malaysia, and to equip business owners and workers to apply K3 in their work activities to prevent injuries, occupational diseases, or accidents. The method used in this activity is to provide health promotion counseling on occupational health and safety. This counseling uses media in the form of leaflets and provides pre- and post-tests in the form of questions and questionnaires to workers to determine their knowledge and understanding. The evaluation results show that the level of compliance with wearing personal protective equipment ("APD") is still low, with a percentage of 37%. Based on the IPA Cartesians diagram, variables X5, X6, and X8 are variables that have importance and good performance.
Analysis Of Customer Satisfaction On The Application Of The Covid-19 Protocol At The Inter-City Bus Terminal Irfan Rifai, Andri; Fazadi Rafianda, Dimar; Isradi, Muhammad; Mufhidin, Amar
International Journal of Engineering, Science and Information Technology Vol 1, No 1 (2021)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1293.782 KB) | DOI: 10.52088/ijesty.v1i1.107

Abstract

The rise of the Covid-19 outbreak in Indonesia, especially Bekasi City, it is very strong  influencing the existing regulations at the Bekasi city main terminal the author wants to research  customer satisfaction with the facilities and implementation of the Covid-19 protocol at terminal bus in Bekasi City. This study aims to describe the perception of satisfaction  customers using a questionnaire against health protocols in terminal facilities  in the terminal main bus Bekasi. This method is carried out by direct survey to the  location  research in order to obtain data on existing facilities. Then also with distributed questionnaires to 90 respondent. The population taken in the study  these are customers at the Bekasi City Main Terminal. The data processed in this study uses Microsoft Excel and SPSS versions 24 and 16 with method  used by Importance Performance Analysis (IPA). It was found that the performance level  facilities and customer satisfaction that must be considered in A Quadrant.  The main priority is for smoking prohibition, drainage, special access  pedestrians / passengers with special needs, luggage storage, charging station, and the facilities for a nursing room.
Analysis of floodwater: A Case Study of the Tukad Buluk Poh River Hidayat, Acep; Praptoyo, Riska Dwi; Isradi, Muhammad; Suprapti, Suprapti
SINERGI Vol 28, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.2.022

Abstract

One of the main causes of flooding is the disruption of river flow due to silting or narrowing of the river basin. The high volume of water in the rivershed will overflow and cause flooding in the surrounding area of the river. The object of this research is the Tukad Biluk Poh River, a river in the Jembrana district, Bali, which has 28 km long and empties into the Indian Ocean. The study aims to measure a flood water level limit at the river bridge that crosses the National Highway Gilimanuk-Denpasar so flooding on that section can be avoided. This quantitative descriptive research analysis uses the Nakayasu HSS (Synthetic Unit Hydrograph of Nakayasu) method for a while in 2, 5, 10, 25, 50, 100, 200, and 1000 years. Next, a hydraulics analysis to determine the flood water level limit uses the HEC-RAS model and results in MAB heights for a similar period. The research results revealed the height at the pavement section and the bottom of the girder section. At the end of this paper, the height of bridge that needs to be elevated at the bottom of the bridge's upper structure and a guard height for a certain repeat time are discussed. Therefore, it is believed that the research outcome will make an important contribution to the local government in issuing the Tukad Biluk Poh rivershed policy. 
Identification of hazardous road sites: a comparison of blackspot methodology of Narogong Road Bekasi and Johor Federal Roads Isradi, Muhammad; Dwiatmoko, Hermanto; Prasetijo, Joewono; Rifai, Andri Irfan; Zainal, Zaffan Farhana; Zhang, Guohui; Firdaus, Hendy Yusman
SINERGI Vol 28, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.2.014

Abstract

A traffic accident is an unexpected and inadvertent road event involving a vehicle with or without other road users that results in human injuries and possibly property damage. This study identifies and analyses the characteristics of Indonesian and Malaysian road traffic incidents. The method used was the identification of crash data coordinates and the Equivalent Accident Number (EAN) score per road segment. Accident characteristics are based on the type of road traffic accident, and collision is the most common type of accident. Speed data of two vehicles, cars and motorcycles, was collected through the test driver method by using the same vehicles for cars and motorcycles and following their normal driving habits. From the analysis results, some factors causing accidents on the Bekasi Narogong Road Section are the lack of traffic signs, road surface conditions, and lack of clear road markings. While on the FT050 Johor federal road, every kilometre per segment and along the segment, motorcycles are faster than cars in terms of speed.
Development of Pavement Deterioration Models Using Markov Chain Process Isradi, Muhammad; Rifai, Andri I.; Prasetijo, Joewono; Kinasih, Reni K.; Setiawan, Muhammad I.
Civil Engineering Journal Vol 10, No 9 (2024): September
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-09-012

Abstract

A common phenomenon in developing countries is that the function of the pavement in the road network will experience structural damage before the completion of life is reached, and the uncertainty of pavement damage is difficult to predict. Planning for maintenance treatment depends on the accuracy of predicting future pavement performance and observing current conditions. This study aims to apply the Markovian probability operational research process to develop a decision support system predicting future pavement conditions. Furthermore, it determines policies and effectiveness in managing and maintaining roads. A standard approach that can be used by observing the history of pavement damage from year to year is to estimate the transition probability as a Markovian-based performance prediction model. The results show that the application of the model is quite optimal, changes in pavement conditions after repair can be easily compared with an increase in good condition, reaching 92.8%. Routinely and consistently handling road deterioration will give favorable results regarding pavement condition value. This will ease in the management of the road network and the accomplishment of the optimal maintenance and repair policies. Doi: 10.28991/CEJ-2024-010-09-012 Full Text: PDF
Data Mining Approach-Based Damage Identification for Asphalt Pavement Under Natural Disaster Conditions Rifai, Andri I.; Isradi, Muhammad; Prasetijo, Joewono; Sari, Yusra A.; Zolkepli, Muhammad F.
Civil Engineering Journal Vol 10, No 12 (2024): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-12-015

Abstract

Road performance can also decline due to natural disasters such as earthquakes, often in Indonesia. Given the high risk of natural disasters in Indonesia, it is important to consider their impact. Therefore, it is necessary to prepare for road rehabilitation and reconstruction quickly and accurately. This research aims to identify potential factors causing road damage by developing an approach to obtain predictions of road damage levels due to natural disasters by utilizing the availability of historical data, developing a decision support system to rehabilitate and reconstruct roads after disasters, and developing a road damage model due to earthquakes using data mining. The data was used to assess the condition of the national road pavement in Central Sulawesi and identified the disaster events as earthquakes that originated from the USGS. Data processing uses a data mining (DM) approach, which includes three models. The results found that the SVM modeling with the DM approach had a high accuracy rate of 0.91 ± 0.01, RMSE 0.70 ± 0.02, and MAD 0.42 ± 0.01. SVM achieves the highest accuracy after 20 runs. The best hyperparameters to accomplish a fit SVM model are ϵ = 0.07 ± 0.01 and γ = 0.05 ± 0.00. Meanwhile, for ANN, the hyperparameters are H = 3 ± 1. The earthquake’s magnitude (27%) and depth (24%) contribute to road damage. Doi: 10.28991/CEJ-2024-010-12-015 Full Text: PDF
Enhancing Transjakarta Bus Service Quality: An Educational Perspective on Urban Development and Traffic Mitigation Using QFD Method Firdaus, Hendy Yusman; Andraiko, Heru; Isradi, Muhammad; Sudrajat, Kukuh Mahi
Journal of Educational Management Research Vol. 4 No. 2 (2025)
Publisher : Al-Qalam Institue

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/jemr.v4i2.1016

Abstract

This study aimed to identify ways to enhance service quality, with the expectation of providing effective handling solutions and input for related parties in the context of sustainable urban development, particularly in Transjakarta. One hundred surveys were sent to passengers utilizing Transjakarta services on the BKN-Depok route, after which the data were processed and analyzed using IPA and QFD methodologies. Based on the results of the analysis of the Importance Performance Analysis (IPA) and Quality Function Deployment (QFD) methods, here is a positive relationship between fulfillment of customer requirements identified through QFD and improved bus performance, strengthening service maintenance and repair SOPs and periodic monitoring and evaluation of the system are the main concerns and must be improved. This study provides valuable insights for educational management, particularly in developing curricula that integrate aspects of public services and urban transportation. The findings underscore the importance of enhancing students’ understanding of quality management methodologies, such as IPA and QFD, to improve the management of sustainable public transportation systems.
Performance Evaluation of Construction Consultants Using Smart-PLS and IPA Nova, Aryani; Muhamad, Rizal; Farras, Pramesti Safira; Mutiara, Johara Rosita; Made, Metta; Dwi , Yunanto Andi; Isradi, Muhammad
Journal of Educational Management Research Vol. 4 No. 2 (2025)
Publisher : Al-Qalam Institue

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/jemr.v4i2.1019

Abstract

Evaluating the performance of construction consultants is crucial to the success of a project, particularly in ensuring adherence to quality, budget, and timeline.  To examine the factors influencing stakeholder satisfaction, this study combines Importance-Performance Analysis (IPA) with SmartPLS-based Partial Least Squares Structural Equation Modeling (PLS-SEM).  A poll of respondents with prior experience in building projects was used to gather data.  The findings indicate that, although the constructed structural model is reasonably solid (R² = 0.790), factors such as professionalism, communication, quality control, project management, and support have not demonstrated a significant impact on the perceived significance of the consultant’s job.  This result implies that data-driven performance improvement techniques are required to enhance consultants’ involvement in building projects. The findings of this study highlight the importance of integrating data-driven performance improvement techniques into educational programs for construction management. By emphasizing professionalism, communication, project management, and quality control, educational institutions can better prepare future construction consultants to meet stakeholder expectations and improve their contributions to building projects.
Flood and landslide exposure awareness for mitigation of road network performance: a community-based approach Rifai, Andri Irfan; Prasetijo, Joewono; Isradi, Muhammad; Sari, Yusra Aulia; Zolkepli, Muhammad Farhan
SINERGI Vol 29, No 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.2.012

Abstract

Natural disasters in the form of floods and erosion in remote area road networks pose challenges for the government. The involvement of community-based disaster management can make it easier for stakeholders to carry out disaster mitigation intelligently. Digital technology can provide information about disaster conditions and facilitate coordination between related parties in managing floods and landslides. This research aims to explore the cultural understanding of the local community to encourage community-based involvement in optimizing road infrastructure services that have been disrupted due to floods and landslides. This qualitative research method uses data from surveys, Focus Group Discussions (FGD), and in-depth interviews. Several community leaders, non-government organizations, and the government became sources of data and discussions. The research results are divided into four main results: 1) Based on exploring the cultural understanding of the local community about disasters, the community is very concerned about road safety and accessibility. Communities in the road network area have also understood the causes of floods and landslides that can disrupt road functions; 2) Culturally, the community is accustomed to and actively involved in disaster preparedness; 3) Hereditarily, the community has been an essential part of the disaster mitigation process; 4) The community feels comfortable using social media platforms to accelerate community communication in disaster mitigation and handling.
The Relationship Between Road Capacity and Road Level of Service: A Systematic Review of Recent Studies Sembada, Abdi; Candra, Bangkit Yanuar Yularso; Ginting, Rio Refelino; Heryadiana, Asep Dian; Isradi, Muhammad
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1249

Abstract

This study presents a systematic review of recent literature that explores the relationship between road capacity and level of service (LOS), two critical components in transportation engineering and urban planning. As traffic volumes continue to grow in urban environments, understanding how road capacity impacts service quality is essential for improving mobility, reducing congestion, and planning sustainable transportation systems. The review synthesizes findings from multiple peer-reviewed sources, focusing on key methodologies, variables, and evaluation criteria used to assess capacity and LOS in different contexts. In addition to traditional analytical frameworks, this study incorporates a bibliometric analysis using VOSviewer to visualize keyword connections and research trends. The results reveal that evaluation methods, road geometry, and strategic design are dominant themes in literature, while gaps remain in studies integrating real-time data and behavioral factors. This research contributes to the field by mapping current knowledge, identifying emerging research directions, and offering insights for future transportation policy and infrastructure development efforts.
Co-Authors Abdila, Syafiadi Rizki Abdul Hamid Abdul Kholiq Abdul Talib Bon Acep Hidayat Adhwa, Muhammad Adi Nurmahdi Adi Nurmahdi Adi Prasetyo Aditya, Tandhang Penta Agista, Shella Agung Helisasongko Agung Wahyudi Biantoro Agus Riyadi Agus Sukoco Agus Suroso Agustian, Renaldi Agyanata Tua Munthe Alfaizi, Mohammad Rendy Amar Mufhidin Amar Mufhidin Amar Mufhidin Amar Mufhidin Amar Mufhidin Amar Mufhidin Amar Mufhidin Amar Mufhidin Amar Mufhidin Amar Mufhidin Amar Mufhidin Amar Mufhidin Amrun Rosyid Anam, Zulfan Khairil Andi Nugraha Saputra Andreamara Andreamara Andri Irfan Rifai Andri Irfan Rifai Andri, Maulika Alifia Andriano, Bayu Anisa Awaliyah Annisa Megarestya Anugrah, Febrian Anugraha, Pebri Tri Aprilia Rani Hamidah Arief Rijaluddin Arif Wijaya Aryanti, Lina Aryapijati, Raden Hendra Asep Dian Heryadiana Asep Sudrajat Auliya, Siti Rahma Badawi, Abdullah Ahmad Badrudin, Ilman Nurhakim Firmasyah Biankalista, Intan Salma Budi Susetyo Cahyani, Annisa Aryant Luthfi Candra, Bangkit Yanuar Yularso D A, Caroline Thiovila Dadang Supriyatno Daniel Arnoldi Gultom Daniel Arnoldi Gultom Darius Angtony Dejan Fauzan Azhary DENI SETIAWAN Desiana Vidayanti Dewi, Adinda Sabina DR MUHAMMAD IKHSAN SETIAWAN ST MT Dwi , Yunanto Andi Eka Juliar Elhazri Hasdian Elhazri Hasdian Enif Asfarianto Pratama Fadillah, Ahmad Fadli Bimantara Fajar Prihesnanto Farras, Pramesti Safira Faturohman, Iip Fazadi Rafianda, Dimar Fikri Ramdani Ginting, Rio Refelino Guohui Zhang Hadi Pranoto Haekal, Adi Muhammad Haekal, Jakfat Halim, Paisal Hanayas Bagaskara Handayani, Susanty Hariadi, Madjumsyah Hartatik, Nurani Hendri Nurmahdi Hendy Yusman Firdaus Hendy Yusman Firdaus Hermanto Dwiatmoko Hermawan Hermawan Heru Andraiko HERYADIANA, ASEP DIAN Hikmawati Thalib Iip Faturohman Ilham Andika Imam Sindu Baskoro Indra Almahdy Indriany, Syilvia Indriawan Subagyo Irfan Rifai Jaewono Prasetijo Jais, Fadel Rafi Assyahkaran Putra Jauhari, Ahdan Jawu, Patricia Kanicia Joewono Prasetijo joewono prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Johan Budiman Kinasih, Reni K. Kukuh Mahi Sudrajat Kurnianto, Muhammad Fajar Lensi Oktavia Stini Lista Lista Luthfi Rachmansyah M Farid Alfarizi R M Ikhsan Setiawan Made, Metta Mahendrata, Ananda Juliano Mahesa, Riski Martindo Gita Dwi Putra Maulana, Ahmad Hifni Mawardi Amin Mawardi Amin Mohamad Taufik, Mohamad Mohammad Khadem Mohd Adib Mohammad Razi Mufhidin, Amar Muhamad Yuan Kelvin Fuadi Muhamad, Rizal Muhammad Abdika Abdika Muhammad Ashlyzan Razik Muhammad Faqih Muhammad Hafidh Muhammad Ikhsan Setiawan Muhammad Ikhsan Setiawan Muhammad Ikhsan Setiawan Muhammad Ikhsan Setiawan Muhammad Kholil Muhammad Naufal Farhan Muhammad Sylmi Taufanudin Mulyono, Sindy Budi Munzilah Md Rohani Mushthofa Mushtofa, Mushtofa Mutiara, Johara Rosita Nabila, Nabila Nadia Laila Lathifah Nandhita Aulia Tarastanty Nashir, Muhammad Farras Nasrun Nasrun Natawibawa K, Surya Nofila Sari Nova, Aryani Novaria, Rinaldy Novianty, Nadira Nugraha , Andi Nurhalifa, Arrum Nurohman Nurohman Nurulfiki, Hefa Wahyu Pagit, Salsa Baidillah Pamadi, Mulia Pawaztris Pawaztris Pawaztris, Pawaztris Permana, Rio Permatasari, Nur Fitria Praptoyo, Riska Dwi Prasetijo, Joewono Prasetio, Muhammad Fahrul Prasetyo, Agus Mudo Prasetyo, Yudi Dwi Putri Rahayu Raden Hendra Ariyapijati Rafaelin, Fabiola Frederica Rana Reza Vahira Redwan, Muhammad Reni Karno Kinasih Resinta, Tria Resmitasari, Meyshiva Aulia Reta, Reci Tiana Rezeki Fajri Rifai Rifai Rifai, Andri I. Rio Satrio Risnandar, Moch Aris Rizqi Valiant Roisman A. Harefa Ronny Durrotun Nasihien, Ronny Durrotun Ruhiat, Nur Aini Rukmana, Istiani Aditia Safira Farras Pramesti Salma Karimah Saputra, Tohmas Sari, Yusra A. Sari, Yusra Aulia Sembada, Abdi Septiyani, Yusan Nurul Setiawan, Muhammad I. Setiawan, Muhammad Ikhsan Setyani, Mery Sudrajat, Asep Sugeng Sugeng Sumarno, Agung Sumiyati Sumiyati Sumiyati Suprapti Suprapti Suprapti Surya, Mukhlis Ade Syafiadi Rizki Abdila Syafiq Human Maulana Syafwandi Syafwandi Syamsiah Badruddin Syaputra, Febrian Sylvia Indriany Tabrani, Alhavid Tamabitte, Vhena E Toruan, Erni Sari Lumban Trijayanti, Wiwin Umar, Usmanul Hayadi Usmanul Hayadi Umar Utoyo, Haris Vendhy Vendhy Verdiansyah, Muhammad Dani Viranti Fahra Salsabila Wahyu Mulyo Utomo Wan Zahidah Musa Widodo Budi Dermawan Widyadhana, Gibran Arya Wincent Wincent Wirdianto, Agus Yanti, Dwi Sri Yasir, Yasrizal Yunita Dian Suwandari Zaenal Arifin Zaenal Arifin Zaffan Farhana Zainal Zahra, Muhammad Ryfqy Az Zainal Arifin Zainal, Zaffan Farhana Zhang, Guohui Zolkepli, Muhammad F. Zolkepli, Muhammad Farhan Zulkifli Faizal