cover
Contact Name
Mega Novita
Contact Email
asset@upgris.ac.id
Phone
+6281958990880
Journal Mail Official
asset@upgris.ac.id
Editorial Address
Advance Sustainable Science, Environmental Engineering and Technology (ASSET) Jl. Sidodadi Timur No.24, Karangtempel, Kec. Semarang Tim., Kota Semarang, Jawa Tengah 50232
Location
Kota semarang,
Jawa tengah
INDONESIA
Advance Sustainable Science, Engineering and Technology (ASSET)
ISSN : -     EISSN : 27154211     DOI : https://doi.org/10.26877/asset
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
Articles 386 Documents
Technical and Operational Evaluation of SRT-Based IP Contribution for Live Television Broadcasting Ciptono Setyo Budi; Triwulandari Satitidjati Dewayana; Emelia Sari; Indra Surjati
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.3710

Abstract

Secure Reliable Transport (SRT) is increasingly used for IP-based live-broadcast contribution because it enables low-latency delivery, packet recovery, and encrypted transport over public networks. However, its practical value depends on measurable performance under real operating conditions and disciplined operational control. This study evaluates the implementation of SRT in live football league and volleyball broadcasts using bounded case evidence from operational records, questionnaires, and focused interviews. The analysis links event-level Quality of Service (QoS) behavior with operational deployment indicators and compares SRT-based contribution with conventional IP transport and satellite contribution. The evaluated indicators include latency, effective packet loss after recovery, service interruption events, recovery time, bitrate stability, setup time, onsite staffing, and operational expenditure. The findings show that SRT provides a practical latency-reliability trade-off relative to regular best-effort IP transport and a lower deployment-cost profile than satellite contribution under the observed conditions. Stable implementation depends on consistent parameter settings, redundancy planning, monitoring ownership, and incident escalation discipline. This study offers a reproducible, engineering-oriented case-evaluation structure for assessing SRT deployment and improving reliability and operational efficiency in IP-based live broadcasting.
A Sustainable Computational Framework for Breast Cancer Screening: Optimizing High-Dimensional Feature Spaces via MVP-PCA for Resource-Constrained Environments Etika kartikadarma; Ahmad Zainul Fanani; Pujiono; Affandy
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.3858

Abstract

The rapid integration of Electronic Health Records (EHR) demands the efficient processing of high-resolution medical images. However, deep learning architectures applied to mammography classification often produce massive, high-dimensional feature spaces susceptible to the curse of dimensionality and anatomical noise. Furthermore, conventional dimensionality reduction approaches tend to cause over-reduction, which destroys crucial microcalcification textures. To address these challenges, this study proposes a CPU-efficient hybrid dimensionality reduction framework integrating Mean Vector Projection (MVP) and Principal Component Analysis (PCA) on features extracted by SqueezeNet. The MVP layer acts as a crucial pre-conditioner to stabilize intra-class variance before PCA decomposition. Experimental results demonstrate that the proposed MVP-PCA framework successfully linearizes the feature space and achieves an extreme compression rate of 99.11%, reducing 264,702 features to 2,355 essential components. The peak accuracy reaches 97.58% with a minimal False Negative rate (2 cases), providing a sustainable diagnostic solution for healthcare facilities with limited technological resources.
Sustainable Utilization of Jute Sack Waste in Jute/Epoxy Laminate: Effect of Fiber Orientation for Bumper Applications Heri Yudiono; Hadromi; Deni Fajar Fitriyana; Januar Parlaungan Siregar; Tezara Cionita; Much Rizky Ubaidillah; Ayyub Ridananda; Rahmat Hidayat
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.3086

Abstract

Fiber orientation plays a major role in controlling the mechanical properties of natural fiber bio composites. An investigation into the impact of fiber direction variations on the toughness and tensile strength of burlap waste composites for automobile bumpers was carried out. This research was designed as a controlled experimental investigation. The factors evaluated were fiber orientation, while the tensile strength and impact toughness were. Bio composites were manufactured utilizing the hand lay-up procedure, and mechanical testing included tensile (ASTM D638) and impact (ASTM 4812). The number of test replications was fixed at three specimens for each variable. By improving interfacial adhesion, the 0°/+90°/0°/+90°/0° fiber orientation produces a tensile strength of 21.087 N/mm² and an impact toughness of 0.0482 J/mm², which is higher than a car bumper. These research show proof that burlap sack waste-based composites can be used as an alternative material for environmentally acceptable and sustainable bumpers. These findings complement SDG 12, which focuses on responsible production and consumption.
AI-Based Decision Support System for Learning Growth Performance Workforce Use Certainty Factor and Constraint Evaluation Dicky Suryapranatha; Agus Mansur; Imam Djati Widodo
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.3719

Abstract

This study presents the design and computational evaluation of an AI-based decision support system for workforce performance in an AI-driven environment under constrained conditions. Previous research has largely emphasized technological determinants and adequate conditions, while neglecting the constraint mechanisms that limit achievable performance. To address this gap, this study integrates Partial Least Squares Structural Equation Modeling (PLS-SEM) and Necessary Condition Analysis (NCA) into a unified computational framework. Empirical data from 200 manufacturing workers was used to derive model parameters. The results identified Engagement Level as a key performance driver (β = 0.519), while Self-Regulation Ability emerged as a critical constraint (d = 0.189). These findings were operationalized into a Certainty Factor-based expert system that models performance as a function of positive contribution, negative influence, and constraint thresholds. The proposed model was evaluated using classification metrics, achieving 87% accuracy, 0.85 precision, 0.86 recall, and an F1-score of 0.85. The results demonstrate strong predictive capabilities and confirm that performance is jointly determined by enabling and constraining factors. This study contributes by bridging statistical analysis and AI system design, providing a constraint-aware decision support model for performance evaluation in complex operational environments.
Banana Peel-Derived Activated Carbon/MnO₂ Composites for Supercapacitor Electrode Applications Katarina Herwanti; Saptono Nugrohadi; Muhammad Taufiq Anwar; Stanislaus Christo Petra Nugraha; Dail Umamil Asri; Noening Andrijati
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.3992

Abstract

Banana peel waste is an abundant agricultural by-product with high carbon content but remains largely underutilized. This study presents a preliminary investigation into the conversion of banana peel waste into activated carbon and its integration with manganese dioxide (MnO₂) to produce biomass-derived composite electrodes for supercapacitor applications. Activated carbon was prepared by carbonization followed by chemical activation using 30 wt% H₃PO₄, while MnO₂–carbon composites were synthesized hydrothermally at 120 °C for 4 h using different carbon-to-MnO₂ mass ratios. The composites were characterized by Brunauer–Emmett–Teller (BET) analysis, and their electrochemical performance was evaluated by cyclic voltammetry (CV) in a three-electrode system with 6 M KOH electrolyte. Repeated measurements were conducted to improve data reliability. Among the investigated samples, MnO₂–BAC–1 exhibited the highest average specific capacitance of 108.87 F g⁻¹ at a scan rate of 0.05 V s⁻¹, which corresponded to the largest pore volume. Although the present findings are limited to BET and CV analyses, they demonstrate the feasibility of utilizing banana peel waste as a sustainable precursor for MnO₂–carbon composite electrodes and provide a basis for further structural characterization and comprehensive electrochemical evaluation.
The Effect of Harvest Time of Basil Microgreens (Ocimum basilicum L.) on Phenolic Content and Antioxidant Activity in a Local Wisdom–Based Horticultural System Rivanna Citraning Rachmawati; Saiful Ridlo; Woro Sumarni; Wiwi Isnaeni; Putut Marwoto; Sunyoto Eko Nugroho
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.3572

Abstract

Basil microgreens are gaining attention as a potential functional food due to their nutritional value and naturally occurring bioactive compounds. Nevertheless, information regarding how these bioactive characteristics vary across different growth stages, particularly when basil is cultivated using local wisdom-based horticultural practices, is still limited. This study evaluated the total phenolic content and antioxidant activity of basil (Ocimum basilicum L.) harvested at three developmental stages: microgreens at 10 and 14 days after germination and mature plants at 30 days. The plants were cultivated using locally sourced materials, including rice husk, household organic compost, and rice washing water. Total phenolic content was assessed using the Folin–Ciocalteu method, whereas antioxidant activity was determined through the DPPH assay. Descriptive analysis revealed a gradual increase in total phenolic content, from 0.960 ± 0.146 mg GAE g⁻¹ extract at day 10 to 1.056 ± 0.061 mg GAE g⁻¹ extract at day 14 and 1.170 ± 0.010 mg GAE g⁻¹ extract at day 30. A comparable pattern was observed for antioxidant activity, which increased from 63.659 ± 0.621% at day 10 to 66.634 ± 0.414% at day 14 and reached 72.585 ± 0.276% at day 30. Overall, the descriptive findings indicate that the later developmental stage of basil was accompanied by higher phenolic content and antioxidant activity under the cultivation conditions applied in this study.