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The Relationship Between Factors Forming Work Safety Culture And Safety Behavior At Pt Dok Dan Perkapan Surabaya Hull Construction Unit Nanta Sigit; Sutanto Hidayat; Nelly Budiharti
International Journal of Technology and Education Research Vol. 3 No. 04 (2025): October - December, International Journal of Technology and Education Research
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i04.2544

Abstract

Construction is a high-risk activity that can lead to accidents. Workplace accidents can be caused by unsafe behavior. One way to reduce workplace accidents is by establishing a safety culture. A safety culture can be formed through the presence of factors that shape a safety culture. This study aims to examine the relationship between factors that shape a safety culture and safety behavior. This study is descriptive, observational, and uses a cross-sectional design. The population in this study was 73 respondents, and data were collected using a questionnaire. The independent variables were management commitment, occupational safety and health regulations and procedures, communication, competence, worker involvement in occupational safety and health, and the worker's social environment, while the dependent variable was safety behavior. the results showed that factors that shape a safety culture with a strong but weak relationship to safety behavior were management commitment, occupational safety and health regulations and procedures, and worker involvement. Factors that shape a safety culture that have a strong relationship to safety behavior were communication (c = 0.414) and the worker's social environment (c = 0.477). It is recommended that companies optimize safety culture through communication and the social environment of workers by holding safety talks and safety inductions.
Scoping Review: Comparison Of Organizational Culture Engineering Concepts Of Habit Formation, Shook, And Schein Models In Project Organizations Iftitah Ruwana; Nanta Sigit; Nelly Budiharti; Prima Vitasari; Renny Septiari; Mariza Kertaningtyas; Diah Wilis Basuki; Sutanto Hidayat
International Journal of Technology and Education Research Vol. 3 No. 04 (2025): October - December, International Journal of Technology and Education Research
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i04.2687

Abstract

Organizational culture is part of an integrated system, whether it's a structured organization or an unstructured community. Most research on organizational culture discusses the relationship between culture and other variables within the organization, or how to measure culture within an organization. In an era of technological advancement, rapid change, and high complexity, a method is needed to effectively change organizational culture. This study attempts to examine three concepts that offer methods for changing organizational culture. All three concepts offer the same paradigm: that cultural change does not begin with changing something abstract and soft-system. Rather, cultural change needs to begin with changing something concrete and tangible. This includes procedures, work methods, infrastructure, and other artifacts within the company organization. These three concepts are then synthesized to produce a proposed concept. This proposed concept is expected to be easier to implement and understand for activists and researchers in the field of organizational culture.
Optimasi Industri Peternakan Ayam Broiler Di UD. Sumber Urip Kabupaten Jember Nesfian, Dwi Apink Dela; Nelly Budiharti; Mariza Kertaningtyas
Jurnal Serambi Engineering Vol. 11 No. 1 (2026): Januari 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

UD. Sumber Urip is a UMKM engaged in broiler chicken farming. As market demand for chicken meat continues to rise, the implementation of proper broiler farm management must also be improved. The analysis was conducted using the FMEA method to identify risks based on the RPN value, followed by developing priority improvement proposals using the 5W+1H method. Optimization of harvest output was then analyzed using Linear Programming based on the proposed improvements. The data results show that the highest RPN values in the FMEA assessment were feed not meeting standards and age-phase mismatch, with an RPN of 225, and chicken density not being properly calculated, with an RPN of 240. The proposed improvements focus on aligning the appropriate amount of feed and considering proper stocking density. Furthermore, the optimization analysis using Linear Programming with POM-QM software produced the following results: the initial condition yielded 50,866 kg, condition 1 yielded 50,866 kg, condition 2 produced 55,029 kg, and condition 4 produced 54,638.7 kg. Condition 2 was identified as the most optimal, where House A required 6,500 kg of S00 feed, 15,000 kg of S11 feed, and 38,000 kg of S12 feed with a density of 14 chicken/m². Meanwhile, House B required 4,000 kg of S00 feed, 7,500 kg of S11 feed, and 19,000 kg of S12 feed with a density of 13 chicken/m².