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Advance Sustainable Science, Environmental Engineering and Technology (ASSET) Jl. Sidodadi Timur No.24, Karangtempel, Kec. Semarang Tim., Kota Semarang, Jawa Tengah 50232
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INDONESIA
Advance Sustainable Science, Engineering and Technology (ASSET)
Published by Universitas PGRI Semarang
ISSN : -     EISSN : 27154211     DOI : https://doi.org/10.26877/asset
Core Subject : Science, Engineering,
Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Advance Sustainable Science, Engineering and Technology (ASSET) is a peer-reviewed open-access international scientific journal dedicated to the latest advancements in sciences, applied sciences and engineering, as well as relating sustainable technology. This journal aims to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of sciences, engineering, and technology. The Scope of ASSET Journal is: Biology and Application Chemistry and Application Mechanical Engineering Physics and Application Information Technology Electrical Engineering Mathematics Pharmacy Statistics
Arjuna Subject : Teknik Kimia (semua kategori) - Teknik Kimia (Lain-Lain)
Articles 30 Documents
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Search results for , issue "Vol. 7 No. 3 (2025): May - July" : 30 Documents clear
Exploring Biochar Briquettes from Biomass Waste for Sustainable Energy Heriyanti, Andhina Putri; Bakri, Sitty Nur Syafa; Jabbar, Abdul; Kholil, Putri Alifa; Amelia, Rizki Nor; Savitri, Erna Noor; Rifaatunnisa; Siti Herlina Dewi; Habil Sultan
Advance Sustainable Science Engineering and Technology Vol. 7 No. 3 (2025): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i3.1311

Abstract

The increasing demand for renewable energy necessitates sustainable alternatives such as biochar briquettes derived from agricultural waste. This study aims to optimize the production process and evaluate the physical, mechanical, and combustion properties of biochar briquettes made from corn residues, rice husks, and coconut shells. The methodology includes biomass carbonization, binder ratio optimization, and systematic testing of key quality parameters such as moisture content, density, ash content, and calorific value. Results indicate that an optimal biomass-to-binder ratio yields a high calorific value (7,192 kcal/kg) and low ash content (3.57%), enhancing combustion efficiency. Maintaining moisture content below 10% enhances ignition and prolongs burning time. These findings highlight biochar briquettes' role in carbon sequestration, biomass conversion, and sustainable waste management, supporting the circular economy and reducing environmental pollution. Biochar briquettes offer a clean, accessible energy solution, contributing to global energy security and climate change mitigation.
Hybrid Approaches for Advanced Medical Text Summarization: Combining TF-IDF, BERT, and Seq2Seq Models Matimpati Chitra Rupa; Ramani, Kasarapu
Advance Sustainable Science Engineering and Technology Vol. 7 No. 3 (2025): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i3.1427

Abstract

Clinicians, researchers, and healthcare professionals are confronted with the challenge of efficiently extracting relevant knowledge from vast amounts of textual data. Medical text summarization emerges as a crucial tool to address this challenge by condensing lengthy medical documents into concise, informative summaries. A comprehensive hybrid approach is proposed to address the challenges in medical text summarization by combining both extractive and abstractive methods, by integrating Term Frequency-Inverse Document Frequency (TF-IDF) of Natural Language Processing (NLP) and AutoModelForSeq2SeqLM of Large Language Model. The performance this proposed approach is compared with existing methods such as Bidirectional Encoder Representations from Transformers (BERT), Text Rank, K-means, face book BART-Large-CNN, GPT2 using ROUGE-1, ROUGE-2 and ROUGE-L metrics. The experimental results show that hybrid approach is outperforming other existing methods. Medical text summarization helps extract important information from large medical documents. This work combines two methods, TF-IDF and AutoModelForSeq2SeqLM, to create better summaries, performing better than existing techniques like BERT and GPT-2 based on ROUGE scores.
Evaluating Sustainable Waste Collection Models Using the Analytical Hierarchy Process (AHP): A Multi-Criteria Decision-Making Approach Sri Purwati; Nancy Oktyajati; Ica Salsa Bila
Advance Sustainable Science Engineering and Technology Vol. 7 No. 3 (2025): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i3.1471

Abstract

The growing issue of disposable baby diaper waste requires an effective collection model to support sustainable waste management. This study designs a community-based collection model using the Analytical Hierarchy Process (AHP) method to identify the most effective approach. Three models are evaluated: Model 1 (Community-Based Diaper Bank), Model 2 (Scheduled Diaper Pick-Up Program), and Model 3 (Diaper Collection Points at Public Facilities). Results show Model 1 is the most effective, with the highest Global Priority score of 0.415, due to its contributions to reducing environmental impact, raising public awareness, and incentivizing participation. Model 2 and Model 3 follow with scores of 0.353 and 0.261. The environmental criterion holds the highest weight (0.504), emphasizing its importance. These findings suggest that community-based models can enhance waste collection efficiency and support sustainability. The results can inform policy development and help guide future research on sustainable waste management practices.
Urban Expansion, Climate Vulnerability, and Transportation Resilience: Insights for Sustainable Development Arifai, Achmad Muhyidin; Arsyad, Muhammad Fahmi
Advance Sustainable Science Engineering and Technology Vol. 7 No. 3 (2025): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i3.1495

Abstract

Climate change poses a significant threat to transportation infrastructure, particularly in rapidly urbanizing regions like Bumi Serpong Damai (BSD) City, Indonesia, which faces increased risks of flooding and the urban heat island (UHI) phenomenon. However, limited research has assessed the combined impacts of climate and land use changes on infrastructure resilience. This study addresses this gap by integrating remote sensing analysis, climatological data, field observations, and stakeholder interviews to identify key vulnerabilities. The results highlight that low-lying and high-impermeability areas, such as the BSD highway and Central Business District (CBD), are highly susceptible to flooding and UHI effects. To enhance resilience, the study proposes structural, nature-based, and technology-driven adaptation strategies, including improved drainage, sponge city concepts, and IoT-based climate monitoring. These findings provide essential insights for urban planners and policymakers, emphasizing the need for climate-adaptive infrastructure planning and sustainable urban development policies.
Assessing Environmental Quality Using the Risk Screening Environmental Indicators (RSEI) Method: A Multi-Year Remote Sensing Approach Wahid Akhsin Budi Nur Sidiq; Tjaturahono Budi Sanjoto; Abdul Jabbar
Advance Sustainable Science Engineering and Technology Vol. 7 No. 3 (2025): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i3.1766

Abstract

Industrial areas in Indonesia are increasing every year with a total of 136 industrial estates in 2024, of which 61.76% are in Java, such as Kendal Industrial Estate (KIE) with an increase in built-up land of 289.52 hectares (2015-2017). The problem is that the development was carried out by converting vegetation cover. The purpose of the study was to analyze the impact of the increase in built-up land on the environmental quality index around Kendal Industrial Estate. Research method with supervised classification Random Forest method and spectral transformation Risk Screening Enviromental Indicators with indicators of greenness index, humidity Index, dryness Index and heat index with Principal Component Analysis technique. The results showed that built-up land around KIE increased by 894.17 hectares which resulted in a decrease in vegetation cover of 184.71 hectares (2015-2024), this phenomenon had an impact on increasing low-level RSEI by around 2,028.31 hectares (2015-2024). The regression results show that the increase in built-up land and the reduction of vegetation cover have an impact on the decline in environmental quality in the study area. The contribution of the research results can be used as a database for regulation of land use change restrictions.
Numerical Investigation of Consolidation Settlement for Runway Construction on Soft Soil: A Case Study in Sumbawa, Indonesia Farichah, Himatul; Hutama, Dio Alif; Alextrianto, Vandi; Satyanaga, Alfrendo; Ghifari, Fikri
Advance Sustainable Science Engineering and Technology Vol. 7 No. 3 (2025): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i3.1805

Abstract

Runway construction on soft soil presents significant engineering challenges due to excessive settlement, which can affect structural stability and long-term performance of transportation infrastructure. This study investigates the settlement of a runway in Sumbawa, Indonesia using the Finite Element Method (FEM) in Plaxis 2D. The Hardening Soil Model was applied to realistically capture nonlinear soil behavior. Input parameters were derived from a series of N-SPT data and laboratory test results. The findings indicate that during the operational phase, the maximum and minimum settlement were 307.1 mm and 2.491x10-3 mm, respectively. Meanwhile, consolidation-induced settlement reached a maximum of 357.97 mm and a minimum of 10.6 mm. The distribution of total settlement along the runway varied depending on soil characteristics. Sections with predominantly clayey soil exhibited greater settlement, whereas areas with sandy soil experienced significantly lower settlement.
Analysis Stability of Retaining Wall type Soldier Pile during Dewatering Work on Hospital Construction Site Ramadhani, Yulia Putri; Solin, Dian; Kahaditu, Yerry; Le, Hoang-Khanh
Advance Sustainable Science Engineering and Technology Vol. 7 No. 3 (2025): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i3.1809

Abstract

Groundwater subsidence during dewatering work can be a serious challenge if soil conditions are unstable, potentially disrupting the stability of supporting structures such as soil retaining walls. This research analyzed the stability of soldier pile type soil retaining walls  during the dewatering process in hospital construction projects in the BSD area. The data used included the results of Standard Penetration Test (N-SPT), monitoring of dewatering work, inclinometer readings, and stability analysis using a 2D-based finite element software. The simulation results showed that the decrease in the groundwater level caused a change in lateral pressure on the retaining wall, with the maximum deformation reaching 2 m and the safety factor dropping from SF = 2.5 to SF = 2.2. If the analysis indicates a critical impact on stability (SF < 1.5 or deformation exceeding tolerances), then mitigation measures such as the installation of additional struts or dewatering system optimization are required. These findings provide technical guidance to minimize the risk of structural failure during the dewatering process on softsoils.
Enhanced Air Quality Prediction Using AI: A Comparative Study of GRU, CNN, and XGBoost Models Kayam Saikumar; Munugapati Bhavana; Rayudu Prasanthi; Singaraju Suguna Mallika; Deepthi Kamidi; Naveen Malik; Kapil Joshi
Advance Sustainable Science Engineering and Technology Vol. 7 No. 3 (2025): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i3.1589

Abstract

Weather monitoring is vital due to environmental changes and rising air pollution, which affects health and lifestyles. Accurate air quality prediction models are essential yet challenging due to complex weather-pollution interactions. This study employs explainable deep learning and machine learning techniques—GRU, CNN, and XGBoost—on a custom dataset of 100,000 samples with 15 features, including PM2.5, PM10, humidity, and temperature. Using SHAP for interpretability, the GRU model outperforms others with 98.56% accuracy, 98.43% Recall, and 98.52% True Positive Rate. Temperature, humidity, gases, and pressure are key variables influencing predictions. The proposed model achieves high mAP and precision, surpassing existing methods and demonstrating effective real-time forecasting under diverse weather conditions.
Wear Behaviours of Sustainable Biolubricants: Influence of Fatty Acid Compositions and Surface Roughness in Mixed Lubrication Regimes Gasni, Dedison; Haznam Putra; Rio Muhammad Nur
Advance Sustainable Science Engineering and Technology Vol. 7 No. 3 (2025): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i3.1761

Abstract

The advantage of biolubricant compared to mineral oil is that biolubricant can ensure environmental sustainability. This research aims to investigate sustainable biolubricants of virgin coconut oil (VCO) and olive oil on wear behaviours with different fatty acid compositions and surface roughnesses in the mixed lubrication regimes. Tests were carried out on pin-on-disc equipment at a speed of 500 rpm with loads of 50 and 100 N. We used two types of biolubricants and surface roughness of the disks (0.8 and 6.3 µm). The research results show that the lauric acid content in VCO could reduce the wear rate of the disk. The surface roughness of the disc had a significant influence on the wear rate for both biolubricants; the smoother the surface of the disc, the more wear rate will decrease. The effect of surface roughness of the disc with both biolubricants could reduce the scar width of the disc and the scar diameter of the pin. The scar width of the disk was higher when compared to the scar diameter of the pin; by using VCO, there was a decrease of percentage in scar width of 32% by using smooth surface. VCO could be a promising sustainable bio-based lubricant in the future, especially in the mixed lubrication regimes
Optimizing the Productivity of Traditional Textile Artisans through Education and Training for a Sustainable Cultural Industry Setiorini, Amanda; Krestiawan, Ari Dina; Annas, Mohammad
Advance Sustainable Science Engineering and Technology Vol. 7 No. 3 (2025): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i3.1896

Abstract

Lasem handmade batik is part of a cultural heritage that has significant economic potential, but the productivity of its artisans is still low due to limited skills and access to innovation. This problem poses a challenge to cultural preservation efforts in line with sustainable development. This study aims to examine the role of education and training in improving the productivity of Lasem handmade batik artisans. The method used is quantitative, with a sample of 100 artisans purposively selected based on work experience and participation in training. Data were collected through questionnaires and relevant documents, and analyzed using SPSS through validity, reliability, normality, t-test, and F-test. The results showed that education and training have a positive and significant influence, both partially and simultaneously, on the productivity of artisans. The findings confirm that improving access to education and training can strengthen the skills, efficiency and production output of Lasem handmade batik artisans. The implications of this research support the achievement of SDG 8 (Decent Work and Economic Growth) by encouraging capacity building of the cultural sector workforce, as well as SDG 12 (Responsible Consumption and Production) through the preservation of environmentally friendly and sustainable batik production processes. This research contributes to the development of sustainability science by underscoring the importance of empowering traditional communities through education and sustainable innovation.

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