Advance Sustainable Science Engineering and Technology

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Engineering

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Articles in this Journal

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

The study proposes a simulation-based optimization framework to surmount recreational facility operational inefficiencies via spatial design, guest flow, and staff allocation. Adopting Discrete Event Simulation (DES) and Machine Learning (...

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

Industrial warehouses use inefficient lighting systems that occupy a significant portion of energy consumption and operating expenses. The aim of this study is to attain higher energy efficiency and reduce the lighting cost by replacing co...

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

Construction projects involve complex processes requiring effective management and skilled human resources to ensure successful outcomes. This study analyzes key factors influencing human resource (HR) performance in building construction,...

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Implementing Lean Manufacturing Using Value Stream Mapping for Automotive Maintenance Efficiency

Transportation is very vital to society these days as it provides mobility and maintains economic growth. In January 2022, Indonesia was Southeast Asia's largest auto market. PT Blue Bird Tbk., one of the largest car rental and transportat...

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

Sustainable development and climate change are central agendas in global policy and research. This study examines and compares three ensemble learning models using Gradient Boosting Machine, Categorical Boosting, and Extreme Gradient Boost...

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

This study explores how extractive content in lignocellulosic biomass affects syngas quality during fixed-bed pyrolysis-gasification, specifically focusing on hydrogen (H₂) concentration. While woody biomass is a known energy source, the l...

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

The Surface Distress Index (SDI) is a crucial parameter to consider when determining road conditions as part of an effective maintenance strategy. This study aims to develop an SDI prediction model using road surface distress data to enhan...

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

Flood disasters in Indonesia are persistent challenges during the rainy season, primarily due to intense rainfall and inadequate flood control. This study evaluates hourly rainfall to characterize hydrology and predict flood discharge more...

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Determinants of MSME Sustainability: A Regression-Based Study in Labuhanbatu

This study aims to identify factors that influence the development of healthy and independent MSMEs in Labuhanbatu Regency, Indonesia. The research method uses a quantitative approach with primary data collection through interviews and que...

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Biosorption of Chromiun in Batik Wastewater Using SCOBY Microbial Biomass: A Sustainable Bioremediation Approach

Batik wastewater poses an environmental threat due to hazardous heavy metals like lead, cadmium, and chromium (Cr). This study investigated the effectiveness of SCOBY (Symbiotic Culture of Bacteria and Yeast), a microbial consortium from k...

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Predicting Habitat Suitability of Mahseer Fish (Tor spp.) in Tropical River Systems Using MaxEnt and Google Earth Engine: A Geospatial Modeling Approach

Rivers are vital freshwater habitats that face threats of degradation and climate change. Mahseer fish, a key species, is in decline. This study predicted Mahseer fish habitats in Central Java using the Google Earth Engine and the MaxEnt m...

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High-Resolution Smart Card-Based OD Matrix for Optimizing Jakarta’s LRT Operations

Efficient urban mobility is essential to support transportation planning and policy. However, traditional methods are often limited in data resolution, lacking the ability to describe passenger movement dynamics in detail. This study aims...

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Quantifying the Causal Impact of Employment Trends on Academic Performance Using Time-Series and Public Interest Data in Indonesia

This study quantifies the causal impact of employment trends on academic performance using a hybrid model of survey data and time-series public interest data from Google Trends in Indonesia. Employing Granger causality and regression analy...