Claim Missing Document
Check
Articles

Found 4 Documents
Search

The effect of occupational safety and health on employee productivity in furniture industry Etruly, Niki; Nafi'ah, Roikhanatun
MBR (Management and Business Review) Vol 7 No 2 (2023): Desember
Publisher : Fakultas Ekonomika dan Bisnis, Universitas Kanjuruhan Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/mbr.v7i2.9254

Abstract

The risk of work accidents is a major concern in companies.  This is caused by the consequences that occur in work accidents to the deadly consequences of these accidents, so risk analysis even more important. The business process of the furniture industry from upstream to downstream has risk of occupational accidents. This study aims to determine the effect of occupational safety and health on employee productivity. Based on the results of data analysis, it can be concluded that the occupational safety does not have a significant effect on work productivity and occupational health variable  has a significant effect on work productivity. Simultaneously the independent variables have a significant relationship with work productivity. For future research, other variables that influence productivity can be added, such as leadership style, work discipline, and work motivation to expand the research area, so that it can produce new thoughts or studies.
Forensic-Based Investigation Optimization to Solving Traveling Salesman Problem Pamungkas, Prayoga Yudha; Latifah, Umi; Nafi'ah, Roikhanatun
Jurnal Tekno Vol. 22 No. 1 (2025): JURNAL TEKNO
Publisher : Direktorat Riset dan Pengabdian pada Masyarakat Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/33050y35

Abstract

The FBI Optimization (FBIO) represents one of the most novel metaheuristics which has been experimented with to solve Traveling Salesman Problem (TSP), demonstrating superior performance compared to tradition-al algorithms. Unlike conventional approaches that start with exploration and gradually shift to exploitation, FBIO maintains a dominant exploration phase throughout its iterations. Beginning with 100% exploration and tapering to approximately 90% dominance in exploration by the end of the process, FBIO effectively navigates the solution space, uncovering more promising routes. This exploration-centric approach enables FBIO to achieve solutions that are 8.39% closer to the near-optimal result compared to its counterparts. The algorithm’s enhanced performance in TSP highlights its potential applicability to other combinatorial optimization challenges. By prioritizing exploration, FBIO offers a robust framework for addressing complex prob-lems and ensures a comprehensive search of the solution space. Its ability to deliver high quality near-optimal solutions makes FBIO a valuable tool for future research, presenting new opportunities for solving various optimization problems and advancing practical problem-solving methodologies
Magie Broom: Revolutionizing Cleaning with User-Centered Ergonomic Design Nafi'ah, Roikhanatun; Dewi, Adhe Lingga; Rosya, Kamila Nur
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i1.6850

Abstract

Magie Broom is an innovative cleaning tool designed by considering several principles such as ergonomics and anthropometry. This study aims to determine the optimal ergonomics design that can minimize the risk of musculoskeletal disorders (MSDs) that often arise from the use of traditional cleaning tools. The development of this tool involves several stages: literature review, field observations, and detailed design using the Quality Function Deployment (QFD) method, followed by testing. Anthropometric principles, especially for determining the optimal length and grip, are carefully considered to ensure the design meets user needs for ease of use, comfort, and cleaning effectiveness. The design The Magie Broom prototype was tested by various user groups such as housewives and students to obtain input used in refining the design. The test results showed that this tool was able to increase cleaning efficiency by provide 3in1 function and modularity. Its also provide comfort for users and reduce the potential for MSDs by decrease REBA score from 11 to 3. The design is very easy to carry, modular, and equipped with a rechargeable battery. The Magie Broom serves as a promising model for ergonomic product development especially in houshold tools, illustrating how thoughtful design can minimize physical strain and injury risk. Magie Broom offers a practical solution for everyday cleaning needs and has great potential to be further developed and marketed widely.
SPATIAL ANALYSIS OF THE ENVIRONMENTAL AND CLIMATIC EXPLANATORY RELATIONSHIP OF PHOTOVOLTAIC POTENTIAL FOR SUSTAINABLE SHRIMP FARMING Widaningrum, Dyah Lestari; Nafi'ah, Roikhanatun; Hendarti, Religiana; Djunaedi, Alexandra Catherine; Madyatmadja, Evaristus Didik
Journal of Environmental Science and Sustainable Development Vol. 9, No. 1
Publisher : UI Scholars Hub

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

Abstract

Sustainable shrimp aquaculture requires reliable and affordable energy, particularly for coastal pond aeration. However, identifying suitable locations for photovoltaic (PV) deployment remains challenging because ground-based solar-resource measurement is expensive, spatially limited, and difficult to maintain across large coastal regions. This study develops a village-level spatial framework to evaluate PV potential for shrimp aquaculture using open geospatial datasets. The analysis covered villages across Central Java, Special Region of Yogyakarta, and East Java. PV power potential (PVout), Global Horizontal Irradiation (GHI), and Direct Normal Irradiation (DNI) were obtained from the Global Solar Atlas; land surface temperature (LST) and precipitation were derived from Google Earth Engine; and slope from digital elevation data. Three datasets were analyzed: all villages (n = 17,672), coastal villages (n = 3,215), and shrimp pond villages (n = 989). Methods included village-level aggregation, correlation analysis, hierarchical regression, residualized modeling, spatial cross-validation, Moran’s I, and spatial regression using k-nearest-neighbor weights. Hierarchical regression achieved R² values of 0.965, 0.974, and 0.983, respectively, reflecting strong relationship between PVout and solar-resource variables. Significant PVout clustering occurred in all villages (Moran’s I = 0.14–0.16) and coastal villages (0.03–0.05), but not in pond villages. OLS residuals remained spatially autocorrelated, and the spatial error model outperformed the spatial lag model for coastal and pond-village datasets, indicating omitted spatial processes. The framework supports preliminary screening of candidate shrimp-farming villages for technical validation and feasibility assessment. It integrates solar-resource availability, environmental conditions, and spatial dependence to guide decentralized PV planning for energy-intensive aquaculture in coastal regions.