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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 352 Documents
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Effect of Printing Speed on the Properties of 3D Printed Products Using Recycled PET Filament Deni Fajar Fitriyana; Agung Efriyo Hadi; Nugroho Suhodo; Aldias Bahatmaka; Januar Parlaungan Siregar; Tezara Cionita; Zuhriyan Ash Shiddieqy Bahlawan; Achmad Yanuar Maulana
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): 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.v8i3.2049

Abstract

Recycled PET has been widely studied for its potential use in 3D printing applications. However, few research has examined how printing speed affects recycled PET filament products' mechanical and physical qualities. This research examines how printing speed influences the physical and mechanical qualities of 3D-printed PET filament goods created from mineral water bottle trash. In this study, filament fabrication is carried out using the homemade pultrusion machine, then the filament is used for 3D printing with variations in printing speed (30, 45, and 60 mm/s). The conducted tests comprise density, tensile, hardness, and compressive testing to examine their physical and mechanical properties. This research found that 45 mm/s printing produced specimens with the maximum density, tensile strength, and hardness. The material reached a density of 0.968 g/cm³, tensile strength of 15.752 N/mm², and hardness of 43.50 Shore D under these circumstances. In contrast, specimens printed at 30 mm/s and 45 mm/s showed the greatest (10.841 N/mm²) and lowest (6.510 N/mm²) compressive strengths. The density, hardness, and tensile strength of 3D-printed specimens improved as the printing speed increased from 30 to 45 mm/s. Printing rates above 45 mm/s reduced specimen density, hardness, and tensile strength. This work promotes sustainable manufacturing by showing that recycled PET filament may be used for 3D printing and how printing speed affects material qualities, thereby promoting sustainable production practices and reduce dependence on virgin materials.
An Engineering Perspective on School Digitalization Application Adoption in Indonesia: A Structural Model Using UTAUT2, TTF, and Trust Andrean Wijaya; Nilo Legowo
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): 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.v8i3.2317

Abstract

This study examines the factors that influence the acceptance of digital school applications in Indonesia against the backdrop of the gap between the number of registered users and active users. Data was obtained from 497 respondents and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The research model expands UTAUT2 by adding the variables Task-Technology Fit (TTF) and Trust. The results indicate that Trust significantly influences Usage Behavior (β = 0.403; p < 0.001), while Behavioral Intention is influenced by Social Influence (β = 0.135; p = 0.016), Facilitating Conditions (β = 0.287; p < 0.001), and TTF (β = 0.292; p = 0.005). Behavioral Intention further serves as the primary predictor of Use Behavior (β = 0.495; p < 0.001). The R² values of 0.788 for Behavioral Intention and 0.834 for Use Behavior indicate strong explanatory power. These findings emphasize the importance of building trust, infrastructure support, and technological suitability to enhance user engagement, while also providing practical insights for app developers and education policymakers.
Exploring Serum Bilirubin as a Potential Biomarker for Primary Open-Angle Glaucoma Masitha Dewi Sari; Felanda Ahsanu Nadia
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): 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.v8i3.2383

Abstract

Total bilirubin (TBIL) functions as a natural antioxidant, and its levels tend to decrease with increasing oxidative stress, including in glaucoma tissue. This study aims to explore the relationship between total serum bilirubin levels and the severity of primary open-angle glaucoma (POAG). A total of 25 POAG patients and 25 control subjects further divided into aged >60 years and ≤60 years from the Glaucoma Clinic of the Universitas Sumatera Utara Hospital and its affiliated hospitals were included, consisting of 4 patients with moderate disease and 21 with advanced disease. Serum TBIL levels were measured and analyzed using the Mann-Whitney test. Results showed an average TBIL of 0.23 mg/dL in moderate cases and 0.37 mg/dL in advanced cases, with no significant relationship between TBIL and POAG severity (p=0.131). These findings indicate that total serum bilirubin levels are not related to POAG severity and are likely not a reliable clinical biomarker for glaucoma.
Performance Evaluation of a Community-Scale Fiberglass Anaerobic Digester for Biogas and Nutrient Recovery Rahmat Sabani; Ari Handono Ramelan; Pranoto Pranoto; Mohammad Masykuri
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): 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.v8i3.2422

Abstract

The management of organic waste using an anaerobic reactor offers the potential for renewable energy production and nutrient recovery. This study evaluates the performance of a 3,000 L fiberglass anaerobic reactor designed to treat a mixture of kitchen waste, cow manure, and water in a 1:1:1 ratio. The process was conducted under mesophilic conditions (30–38 °C) over a 40-day batch cycle. The reactor produced a total of 63.75 m³ of biogas with an average methane content of 59.3%, equivalent to 0.193 m³ CH₄/kg VS. Additionally, the system produces approximately 2,700 kg/month of liquid effluent and 900 kg/month of stabilized solids. These results demonstrate the efficiency of substrate bioconversion and the potential for utilizing residues as organic fertilizer. This study emphasizes the technical feasibility of using a community-scale fiberglass reactor for organic waste treatment with measurable performance parameters.
Quantitative Modeling of Change Order Impacts on Cost and Time Overruns in Indonesian Toll Road Infrastructure Projects Hadi Sasmito; Mawardi Amin
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): 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.v8i3.2425

Abstract

Change Orders (COs) are a major challenge in toll road infrastructure projects, often causing cost and time overruns. This study aims to identify key CO drivers and quantify their impacts on project performance in Indonesian toll road projects. A mixed-methods approach was applied, involving qualitative interviews with 35 experts (project managers, consultants, contractors) and quantitative surveys from 75 respondents covering 20 projects implemented between 2015 and 2023. Data analysis employed descriptive statistics, multiple linear regression, correlation analysis, and hypothesis testing using SPSS. Results show that five significant factors, namely poor planning, technical design changes, discrepancies between plans and site conditions, delays in land acquisition, and inadequate stakeholder coordination, explain 94.5% of CO variation (R² = 0.945). COs accounted for 94.9% of cost overrun variation (R² = 0.949) and 93.6% of time overrun variation (R² = 0.936). Design changes most strongly affected cost overruns (β = 0.419), while land acquisition delays had the greatest effect on time overruns (β = 0.537). COs have interrelated effects on cost and time, requiring integrated management from initiation to closure. The findings provide engineering and policy implications for precise contract documentation, rigorous planning, and proactive risk management to mitigate CO-induced overruns.
Enhancing Patient Satisfaction Through Web-Based Registration and SEM Analysis of Service Quality Dimensions Muh Asri; Kifayah Amar; Sapta Asmal
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): 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.v8i3.2433

Abstract

A hospital that provides a wide range of healthcare services must prioritize the satisfaction of patients. Although many studies in Indonesia and Southeast Asia have examined factors influencing patient satisfaction, there is still limited empirical evidence that integrates the role of trust as a mediating variable using a comprehensive service quality model in the hospital context. This study aims to determine the service quality characteristics that influence patient satisfaction at Makassar City Regional General Hospital in Indonesia. Surveys were used to gather data from respondents, consisting of inpatients or their relatives aged 17 years or older, with a total of 300 samples. The data was analyzed using Structural Equation Modeling (SEM), which allows simultaneous testing of complex relationships among latent variables and provides robust estimates for both direct and indirect effects. The study's findings revealed that: (1) Trust was positively influenced by medical personnel attitude, medical services, and nursing care, with P values of 0.033, 0.000, and 0.012, respectively; (2) Trust had a positive effect on patient satisfaction, with a value of 0.000; and (3) Administrative procedures and tangible aspects did not positively affect trust, with P values of 0.345 and 0.106. To improve hospital services, particularly the administrative tasks, a web-based patient registration tool was created. In addition, the availability of ATMs should be considered to enhance tangible evidence indicators. The findings imply that hospital management should focus on strengthening the interpersonal and technical competencies of medical personnel while redesigning administrative systems to be more efficient and patient-friendly, as these factors ultimately drive trust and satisfaction levels.
Spatial Vulnerability Index Modeling for Climate Change Risk Assessment in Indonesia Santoso Tiara Angelica; Utama Ditdit Nugeraha
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): 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.v8i3.2435

Abstract

This study develops a Fuzzy Logic-based Intelligent Decision Support Model (IDSM) to map climate change vulnerability across 34 Indonesian provinces, using 20 variables grouped into four parameters: greenhouse gases, geological factors, anthropological factors, and weather conditions. Data from 2015–2020 were sourced from the Global Atmosphere Watch, LAPAN, BASINS-CAT, BPS, and the DigComp 2.0 framework at the provincial level. The methodology involved data normalization, trend analysis via linear regression, relative value calculation using Euclidean distance, and a two-stage aggregation through a fuzzy inference system to produce a Vulnerability Score. Results indicate Jakarta as the most vulnerable (0.6145), Bali as the least vulnerable (0.498), and West Kalimantan (0.502), Maluku (0.5215), and Papua (0.500) as moderately vulnerable. These variations stem from differing environmental, social, and economic conditions, highlighting the need for location-specific adaptation and mitigation policies. The model offers a valuable tool for prioritizing climate action interventions.
Hospital Building Value Engineering Strategy in Accordance with Building Technical Standards Joko Riyanto; Slamet Imam Wahyudi; Kartono Wibowo
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): 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.v8i3.2436

Abstract

This study developed a Value Engineering strategy for hospital buildings in accordance with Indonesian technical standards, namely Government Regulation No. 16, Minister of Health Regulation No. 40, and Minister of Public Works and Public Housing Regulation No. 21 concerning Green Building Performance Assessment. The purpose of this study was to determine design-appropriate variable criteria and formulate improvement strategies for variables that did not meet the requirements. A quantitative methodology was applied using the Likert strategy, validity and reliability tests (Guttman Split-Half), and mean value analysis. The results showed 16 variables valid, reliable, and feasible indicators (mean 0.92–0.99). Improvement strategies were applied to 16 variables, including additional innovations of 9 variables. The developed Value Engineering strategy is statistically significant and can be used as a reference for hospital planning decision-making, contributing to improved efficiency, sustainability, and quality of hospital buildings in Indonesia.
Analysis of Claims and Dispute Resolution in Construction Projects: a Case Study Approach Angga Ari Adi Pratama; Mawardi Amin
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): 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.v8i3.2460

Abstract

Disputes in construction projects are often inevitable due to various factors such as delays, cost overruns, and changes in scope. This study aims to identify the root causes of claims and examine the resolution strategies implemented in the Sierra Intercultural School construction project. Using a qualitative descriptive approach, data were collected through in-depth interviews with contractors, consultants, and owners, as well as analysis of supporting documents such as contracts and site reports. The study found that the most frequent claim types were time extension claims (37%), additional cost claims (28%), and design change claims (21%). These were primarily caused by design errors, late approvals, and incomplete work planning. Dispute resolution predominantly relied on negotiation and direct discussion, without involving formal legal or arbitration procedures. The findings indicate that effective contract documentation and proactive communication among stakeholders can significantly reduce claim occurrence. This research contributes to the field of construction management by offering practical insights into dispute avoidance and resolution mechanisms in medium-scale educational infrastructure projects. It also highlights the importance of early stakeholder alignment to prevent claims and delays in similar future developments.
Evaluating Behavior-Driven Metrics in Gamified Hybrid Environments: A Structural Analysis Approach Henka Bayu Seta; Zatin Niqotaini; Sarika Afrizal; Theresiawati; Artika Arista; Rapolo Joshua Napitupulu; Muhammad Ibrahim Al Farisi
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): 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.v8i3.2499

Abstract

Despite the widespread adoption of gamification in higher education, a significant research gap remains regarding the structural pathways through which specific game elements influence psychological drivers and academic success in hybrid settings. This study addresses this by evaluating the impact of badges, points, progress bars, and leaderboards on student motivation and outcomes using a quantitative approach with a sample of 437 university students in Indonesia. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM), revealing that the model possesses strong internal consistency and convergent validity, with factor loadings between 0.760–0.956 and Average Variance Extracted (AVE) values ranging from 0.687 to 0.872. The structural analysis confirms that badges act as a primary driver for perceived playfulness and the effectiveness of other elements, while leaderboards and progress bars significantly enhance learning satisfaction; however, points showed no significant impact on playfulness. These findings, evidenced by significant path coefficients (β) and robust R² values, provide an analytical framework for educators to strategically design gamified ecosystems that prioritize high-impact behavioral metrics over simple reward systems, thereby optimizing engagement in blended learning environments. 

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