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ANALYSIS OF FACTORS INFLUENCING THE IMPLEMENTATION OF MINING SAFETY MANAGEMENT SYSTEM (SMKP) & OHS MANAGEMENT SYSTEM (SMK3) BASED ON THE PRINCIPLE OF RESILIENCE AT PT. MITRA SETIA TANAH BUMBU Ronny Ronald Simamora; Erislan, Erislan; Ramli, Soehatman
INQUISITIVE : International Journal of Economic Vol. 5 No. 2 (2025): June
Publisher : Fakultas Ekonomi dan Bisnis Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/inquisitive.v5i2.8770

Abstract

In mining activities, Occupational Safety and Health is an ongoing process involving the parties within the organization, so that each company is required to implement a Mining Safety Management System to create conducive conditions, so that it is free from danger and risk. To strive to improve the performance of Occupational Safety and Health and the company's Environment, one of the efforts made is the implementation of SMKP and SMK3, because through the existing system in mining in Indonesia, it can reduce the rate of mining accidents. Based on the results of the analysis of the perception of the Safety Maturity Level of workers, an average score of 4.1 was obtained and it was included in the proactive category. The results of the 2023 SMKP Audit showed that the percentage of achievement of PT MSTB's implementation was 50.89%, included in the "less" category. Based on the results of the quantitative analysis of the study, it was found that SMKP and SMK3 had a positive and significant effect on PT MSTB's Safety Maturity Level.
Analisis Faktor-Faktor yang Berhubungan dengan Pemakaian Kembali Perangkat Medis Sekali Pakai di Ruang Operasi Rumah Sakit X tahun 2022 Suroto, Suroto; Erislan, Erislan
Jurnal Ners Vol. 8 No. 1 (2024): APRIL 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v8i1.16613

Abstract

Penelitian ini bertujuan untuk menganalisa faktor yang mempengaruhi perilaku petugas kesehatan dalam pemrosesan ulang dan penggunaan kembali SUMD yang diproses ulang di kamar operasi RS X pada tahun 2022. Metode penelitian ini adalah survei analitik dengan pendekatan cross sectional study. Populasi penelitian adalah seluruh tenaga kesehatan rumah sakit X yang terlibat langsung sebagai tenaga medis di ruang operasi sebanyak 62 orang. Pengambilan data dengan menggunakan kuisioner. Analisa data secara univariat, bivariat dan multivariat menggunakan uji regresi logistic binner pada taraf kemaknaan 95%. Hasil penelitian menunjukkan bahwa tidak ada hubungan antara pendidikan dengan perilaku pemrosesan ulang SUMD dengan nilai P = 0,247; ada hubungan antara masa kerja dengan perilaku pemrosesan ulang SUMD dengan nilai P = 0,044; tidak ada hubungan antara pengetahuan dengan perilaku pemrosesan ulang SUMD dengan nilai P = 0,090; ada hubungan antara sikap dengan perilaku pemrosesan ulang SUMD dengan nilai P = 0,010; tidak ada hubungan antara regulasi dengan perilaku pemrosesan ulang SUMD dengan nilai P = 0,259; ada hubungan antara ketersediaan stok dengan perilaku pemrosesan ulang SUMD dengan nilai P = 0,030. Variabel yang paling berpengaruh pada perilaku pemrosesan ulang SUMD adalah sikap dengan nilai sig. < 0,05 dengan nilai OR sebesar 14,16. Dapat disimpulkan bahwa masa kerja, sikap dan ketersediaan stok mempengaruhi perilaku pemrosesan ulang SUMD sedangkan pendidikan, pengetahuan dan regulasi tidak berpengaruh terhadap perilaku pemrosesan ulang SUMD. Disarankan untuk memperketat pengawasan bersama, penempatan tenaga kesehatan yang sesuai dan pemisahan wewenang pemrosesan ulang serta pengelolaan persediaan yang optimal.
Analisis Low Back Pain Pada Pekerja Bagian Rifining di PT. X Tahun 2021 Kamrul, Kamrul; Erislan, Erislan; S, Ramli
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (206.598 KB) | DOI: 10.36418/syntax-literate.v7i12.10448

Abstract

Low back pain adalah nyeri yang dapat dirasakan pada punggung bagian bawah, bukan suatu penyakit maupun diagnosis penyakit tetapi low back pain adalah istilah untuk sindrom pada daerah tulang belakang lumbal. Pada studi pendahuluan dilaporkan adanya keluhan low back pain berupa nyeri dan pegal-pegal yang dialami oleh pekerja di kilang. Tujuan dari penelitian ini adalah untuk menilai prevalensi nyeri punggung bawah dan faktor risiko yang terkait dengan nyeri punggung bawah pada pekerja kilang. Jenis penelitian yang digunakan adalah observasional analitik dengan desain cross sectional dengan besar sampel 69 orang (total sampling). Data dikumpulkan dengan kuesioner yang disebarkan melalui google form dan observasi. Uji statistik menggunakan analisis univariat dan bivariat serta menggunakan metode Quick Exposure Check (QEC) untuk menjawab pertanyaan penelitian. Hasil penelitian didapatkan prevalensi low back pain pada pekerja kilang di PT. X adalah 66,67%. Uji statistik didapatkan riwayat cedera punggung dengan p value 0,020 < 0,05. Kesimpulannya adalah terdapat hubungan yang signifikan antara riwayat cidera punggung dengan nyeri pinggang (p value = 0,020 < 0,05), dan disarankan bagi perusahaan untuk menggunakan portable lifter untuk mengurangi aktivitas manual handling agar pekerja tidak melakukan postur canggung atau membungkuk dengan frekuensi dan untuk waktu yang lama berulang kali.
The Influence of Factors Related to Safety Culture Maturity on Offshore Drilling Operations in Saudi Arabia Lumanauw, Jimmy; Erislan, Erislan; Irianto, Hari Eko; Sugiarto, Sugiarto
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i11.62418

Abstract

Offshore drilling operations are a high-risk activity that requires a work safety system that is not only compliance-based, but also supported by a mature safety culture. Safety culture maturity is an important indicator in assessing the extent to which safety values have been embedded and applied thoroughly in the work environment. This study aims to analyze the influence of five groups of factors on the level of maturity of safety culture, namely: organizational and managerial factors, individual and culture, communication and participation, technical and operational, and external factors. The research was conducted on three jack-up rigs owned by COSL Drilling Saudi Limited in Saudi Arabia, involving 300 respondents from various levels of work. The quantitative approach was used with stratified random sampling techniques and data analysis was carried out using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method. The results showed that all independent factors had a significant influence on safety culture maturity, with individual and cultural factors as the most dominant factors. This research contributes to identifying priority areas for strengthening safety culture to build a proactive, adaptive, and sustainable work safety system in the offshore drilling industry.
Big Data and Artificial Intelligence For Market Trend Identification Erislan, Erislan
Journal of Comprehensive Science Vol. 4 No. 12 (2025): Journal of Comprehensive Science
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v4i12.3853

Abstract

Businesses face intense competition and fluctuating consumer preferences, driven by social media, global events, and technological innovations. This study systematically reviews the literature (2019–2024) to analyze the role of big data and artificial intelligence (AI) in identifying market trends, exploring their potential, challenges, and implementation strategies. Using the systematic literature review method, peer-reviewed articles were obtained from Scopus, ScienceDirect, IEEE Xplore, and Google Scholar. Keywords used include big data, AI, market trends, and consumer behavior. A qualitative-descriptive analysis was employed to synthesize findings related to technology applications, effectiveness, and barriers. The results confirm that AI algorithms (such as machine/deep learning) significantly improve the accuracy of trend detection by processing real-time data from social media, search engines, and e-commerce. Big data enables more detailed consumer segmentation and personalized marketing, while AI-based tools enhance demand forecasting and campaign responsiveness. MSMEs are increasingly adopting affordable AI platforms for data-driven decision making. Key challenges include data privacy risks, infrastructure gaps, and workforce skill shortages. The integration of big data and AI has proven transformative for market analysis, but requires ethical regulation, digital literacy initiatives, and inclusive infrastructure to ensure sustainable impact.
The Effect of Work Posture, Work Load, and Psychosocial Factors on Work Fatigue in Forklift Drivers in the Warehouse Department of PT Y Hidayat, Muh. Taufiq; Erislan, Erislan; Ramli, Soehatman; Sugiarto, Sugiarto
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 3 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to evaluate the extent to which work posture, workload intensity, and psychosocial aspects affect fatigue levels in forklift operators at PT Y's warehouse. The background of this study is the high incidence of property damage involving forklifts and changes in storage systems that increase operator workload. This study uses a quantitative approach with PLS-SEM-based regression analysis. The results of the analysis show that all three factors—work posture, workload, and psychosocial conditions—have a significant and positive effect on work fatigue, with regression coefficients of 0.358; 0.367; and 0.333, respectively. The T-statistic value of all three exceeds 1.96 and the P-value <0.05, indicating that all three are statistically significant. These findings indicate that non-ergonomic work positions, heavy workloads, and unfavorable psychosocial conditions can increase the risk of work fatigue. This study recommends the need for in-depth ergonomic evaluations, reorganization of operational rhythms, and strengthening social interactions in the workplace to reduce fatigue levels and prevent potential work accidents.
THE EFFECT OF NOISE AND AIR POLLUTION ON THE HEALTH OF EMPLOYEES AND THE COMMUNITY AT THE LARATAMA PLTD - SOUTHWEST SUMBA REGENCY Yashinta Theedens, Anastasia; Sugiarto, Sugiarto; Sukwika, Tatan; Erislan, Erislan
HEARTY Vol 14 No 1 (2026): FEBARURI
Publisher : Fakultas Ilmu Kesehatan, Universitas Ibn Khaldun, Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/hearty.v14i1.18969

Abstract

The introduction highlights the dual impact of technological advancements on production and workplace conditions, particularly focusing on the challenges posed by noise pollution and its effects on health, including hearing loss and decreased productivity. Additionally, it emphasizes the need for eco-friendly practices and innovations to manage these environmental and occupational risks. The study examines the impact of noise and air pollution on hearing loss among employees and the surrounding community at PLTD Laratama, using a quantitative research design with a cross-sectional descriptive observational approach, employing observation sheets, questionnaires, and checklists for data collection. Based on the analysis, it was concluded that noise intensity at PLTD Laratama significantly affects hearing disturbances in both employees and the surrounding community. The correlation coefficient for employees (0.671) indicates a strong relationship, while for the community (0.529), it shows a moderate impact. A majority of employee respondents (79.05%) and a significant portion of the community respondents (37.27%) acknowledged the impact of air pollution on health. The study provides valuable insights into how noise pollution affects health, offering recommendations for noise reduction and further research.
ANALYSIS OF OCCUPATIONAL SAFETY AND HEALTH FACTORS IN STREET FOOD VENDORS IN PENJOMPONGAN RAYA, CENTRAL JAKARTA Bela Zaghu, Monika; Erislan, Erislan; Sukwika, Tatan; Eddyono, Fauziah
HEARTY Vol 14 No 1 (2026): FEBARURI
Publisher : Fakultas Ilmu Kesehatan, Universitas Ibn Khaldun, Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/hearty.v14i1.18971

Abstract

Street vendors typically sell using carts containing oil, stoves, and gas. Many street vendors work environments are frequently exposed to burn hazards, such as hot oil, hot pans, fire, electricity, and stoves. Objective: To examine occupational accidents, the causes of occupational accidents, and potential solutions to address these causes for street food vendors in Penjompongan Raya, Central Jakarta. Method: This research is qualitative, conducted through in-depth interviews. Informants in this study are street food vendors in Penjompongan Raya, Central Jakarta, with a total of 10 informants. Data collection techniques included observation and interviews, using questionnaires as data collection tools, and data analysis through data reduction, data presentation, and conclusion drawing. Research Findings: Occupational accidents were identified among street food vendors, with contributing factors including fatigue, stress, and work environment. Conclusion: There are three primary causes of occupational accidents among street food vendors: fatigue, stress, and work environment factors.
Strategi Kompensasi dan Kualitas Kerja Terhadap Kinerja Karyawan dengan Kepuasan Kerja Sebagai Variabel Intervening (Studi Kasus PT Ekanuri Group) Arisma, Anggun Hardianti; Erislan, Erislan
Community Engagement and Emergence Journal (CEEJ) Vol. 6 No. 5 (2025): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v6i6.9372

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh strategi kompensasi dan kualitas kerja terhadap kepuasan kerja serta implikasinya terhadap kinerja karyawan PT Ekanuri Group. Data dikumpulkan dari 178 responden dan dianalisis menggunakan metode Structural Equation Modeling-Partial Least Square (SEM-PLS). Hasil penelitian menunjukkan bahwa strategi kompensasi dan kualitas kerja berpengaruh positif dan signifikan terhadap kepuasan kerja. Selanjutnya, kepuasan kerja terbukti berpengaruh positif dan signifikan terhadap kinerja karyawan. Selain itu, strategi kompensasi dan kualitas kerja juga terbukti berpengaruh langsung terhadap kinerja karyawan. Temuan lain mengungkapkan bahwa kepuasan kerja secara signifikan memediasi hubungan antara strategi kompensasi dan kinerja karyawan, serta hubungan antara kualitas kerja dan kinerja karyawan. Dengan demikian, dapat disimpulkan bahwa strategi kompensasi yang efektif dan peningkatan kualitas kerja mampu meningkatkan kepuasan kerja, yang pada akhirnya berdampak pada peningkatan kinerja karyawan.
The Effect of UTAUT Factors and Trust on GoPay Use Behavior: The Mediating Influence of Behavioral Intention Nurjanah, Putri; Erislan, Erislan
Research Horizon Vol. 6 No. 1 (2026): Research Horizon - February 2026
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/rh.6.1.2026.1063

Abstract

This study is motivated by the rapid growth of digital payment services in Indonesia, particularly the increasing adoption of e-wallets that has shifted consumer transaction behavior toward digital platforms. However, high download rates do not always translate into active usage, indicating the importance of understanding the factors influencing actual use behavior. This research aims to analyze the effects of performance expectancy, effort expectancy, social influence, and trust on behavioral intention and use behavior in the context of GoPay adoption. A quantitative survey approach was applied using purposive sampling, involving 130 non-merchant GoPay users in DKI Jakarta. Data were collected through an online questionnaire and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results show that performance expectancy, social influence, and trust have positive and significant effects on behavioral intention and use behavior, while effort expectancy has a positive but non-significant effect. Behavioral intention is identified as the strongest predictor and a key mediating variable influencing actual usage. These findings imply that strengthening perceived benefits, trust, and social-driven engagement is essential to encourage sustained e-wallet usage, beyond merely improving ease of use or increasing application downloads.