Sani Heronasia, Rida Zuraida

Integrating Occupational Safety and Health Management Systems (SMK3) with Total Quality Management (TQM) in Micro-Scale Manufacturing Enterprises

Management

Improving a company's Occupational Safety and Health Management System (SMK3) is key to achieving Total Quality Management (TQM) goals. Thi...

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This study addresses a highly relevant and critical area concerning the integration of Occupational Safety and Health Management Systems (SMK3) with T...

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Pardomuan Robinson Sihombing, Erfiani, Khairil Anwar Notodiputro, Anang Kurnia

Comparative Performance of GLMM and GEE for Longitudinal Beta Regression in Economic Inequality Modelling

Economics

Due to the shortcomings of conventional Gaussian methods, specialized models are frequently needed for longitudinal data analysis with boun...

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This study addresses a critical methodological challenge in economic and social research: the appropriate modeling of bounded longitudinal outcomes, s...

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Ferdi Joko Giyanto, Dyah Lestari Widaningrum

Simulation-Based Optimization of Resource Allocation in Seasonal Recreational Facilities Using Discrete Event Simulation and Machine Learning

Operations

The study proposes a simulation-based optimization framework to surmount recreational facility operational inefficiencies via spatial desig...

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The submitted work, "Simulation-Based Optimization of Resource Allocation in Seasonal Recreational Facilities Using Discrete Event Simulation and Mach...

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Pratama Jaya, Taufik Roni Sahroni

Enhancing Energy Efficiency in Industrial Warehouses Using Life Cycle Cost Analysis (LCCA)

Energy

Industrial warehouses use inefficient lighting systems that occupy a significant portion of energy consumption and operating expenses. The...

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This study, "Enhancing Energy Efficiency in Industrial Warehouses Using Life Cycle Cost Analysis (LCCA)," addresses a highly relevant and pressing iss...

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Ibnu Toto Husodo, Pratikso Pratikso, Kartono Wibowo

Optimizing Human Resource Performance in Building Construction through Technology-Enhanced Strategy Development

Management

Construction projects involve complex processes requiring effective management and skilled human resources to ensure successful outcomes. T...

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This study presents a timely and relevant investigation into optimizing human resource performance within the complex domain of building construction....

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Yusha Sinatrya, Ardhianiswari Diah Ekawati

Implementing Lean Manufacturing Using Value Stream Mapping for Automotive Maintenance Efficiency

Automotive

Transportation is very vital to society these days as it provides mobility and maintains economic growth. In January 2022, Indonesia was So...

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This paper, "Implementing Lean Manufacturing Using Value Stream Mapping for Automotive Maintenance Efficiency," presents a timely and relevant applica...

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Firman Ridwan Petervan Siburian, Suharjito

Boosting-Based Machine Learning Models and Hyperparameter Tuning for Predicting Vehicle Carbon Dioxide Emission

Informatics

Sustainable development and climate change are central agendas in global policy and research. This study examines and compares three ensemb...

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The study, "Boosting-Based Machine Learning Models and Hyperparameter Tuning for Predicting Vehicle Carbon Dioxide Emission," addresses a highly relev...

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Teguh Suprianto, Muhammad Kasim, Darmansyah

Evaluating the Role of Extractives in Biomass Pyrolysis for Enhanced Hydrogen Syngas Production

Energy

This study explores how extractive content in lignocellulosic biomass affects syngas quality during fixed-bed pyrolysis-gasification, speci...

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This study presents a compelling investigation into the often-overlooked connection between extractive content in lignocellulosic biomass and its impa...

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Yogi Oktopianto, Antonius, Abdul Rochim

An Artificial Neural Network Approach for Predicting Pavement Distress: A Case Study Toward Sustainable Road Maintenance

Transportation

The Surface Distress Index (SDI) is a crucial parameter to consider when determining road conditions as part of an effective maintenance st...

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This study presents a timely and relevant application of Artificial Neural Networks (ANNs) for predicting the Surface Distress Index (SDI), a critical...

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Risdiana Afifah, Sri Sangkawati, Suripin, Dyah Ari Wulandari

Comparative Analysis of Observed and Empirical Rainfall Distribution for Flood Hydrograph Modeling

Civil

Flood disasters in Indonesia are persistent challenges during the rainy season, primarily due to intense rainfall and inadequate flood cont...

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