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Enhancing Biology Students’ Mastery of Animal Anatomy with a Web-Based Electronic Atlas: Toward Sustainable Digital Learning Tools
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Learning animal anatomy in higher education often suffers from limitations in terms of visual media and practical time. Technology-based solutions such as web-based electronic atlases (e-atlases) can improve conceptual understanding and support digital continuous learning. This study aims to evaluate the effectiveness of web-based e-atlas in improving biology students' animal anatomy learning outcomes through a flipped classroom approach. This study used the ADDIE development model and a quasi-e...
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Recent Advances in Catalytic Systems for the Sustainable Synthesis of Ethyl Levulinate from Biomass
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The esterification of levulinic acid to ethyl levulinate presents challenges in catalyst efficiency, reusability, and environmentally friendly process design, restricting commercial scalability. This study examines recent studies on diverse catalysts, including Deep Eutectic Solvents (DES), homogeneous and heterogeneous systems, and their effects on yield. DES is positioned as a more sustainable option, with yields as high as 99.8%, quicker reaction times, and a lower environmental effect. Wh...
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Computational Assessment of Orthopedic Implant Durability Using Finite Element Analysis
Haryanto, Ismoyo
; Bagastomo, Riondityo Soni
; Ismail, Rifky
; Siregar, Januar Parlaungan
; Cionita, Tezara
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Finite Element Analysis (FEA) provides a rapid and cost-effective method to evaluate orthopedic implants. This research investigates the mechanical performance and long-term durability of a seven-hole SS 316L Basic Fragment Set (BFS) reconstruction plate designed for pelvic fractures. Adhering to ASTM standards, material properties were defined via tensile testing (ASTM E8), while static and fatigue analyses were performed using a displacement control method in a four-point bending test setup in...
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Mechanical Performance of Alkali-Treated Rattan Strips with Epoxy Coating for Sustainable Composite Applications
Kalatharan, Sujentheran Nair
; Imran, Al Ichlas
; Irawan, Agustinus Purna
; Siregar, Januar Parlaungan
; Cionita, Tezara
; Fitriyana, Deni Fajar
; Anis, Samsudin
; Dewi, Rozanna
; Setyoadi, Yuris
; Wisnu Prayogo
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The use of natural materials like rattan in eco-friendly composites is gaining attention in materials engineering. However, its hydrophilic nature and interaction with other materials can affect mechanical strength. This study investigates how variations in rattan size and alkali treatment influence the tensile properties of single rattan strips through an epoxy dipping process. Rattan was prepared with varying lengths (5–15 cm), widths (3–8 mm), and a consistent thickness (0.5 mm). Alkali treat...
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1 Sitasi
Artificial Neural Network-Based Forecasting of Rice Yield Using Environmental and Agricultural Data
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
This study presents a high-accuracy predictive model for rice production in Indonesia using Artificial Neural Networks (ANN), achieving an R² of 98.11%, Mean Absolute Error (MAE) of 0.0966, and Mean Squared Error (MSE) of 0.0189. Climate variability remains a significant challenge to rice cultivation in regions like Malang City, where unpredictable environmental factors such as rainfall, temperature, and humidity hinder effective crop planning and yield estimation. To address this, we developed...
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1 Sitasi
An Artificial Neural Network Approach for Predicting Pavement Distress: A Case Study Toward Sustainable Road Maintenance
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
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 enhance maintenance planning. The developed Artificial Neural Network (ANN) model resulted in an optimal structure with two hidden layers comprising 6 neurons and 4 neurons, respectively. The model was trained using two years of surface distress data collected from...
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Biosorption of Chromiun in Batik Wastewater Using SCOBY Microbial Biomass: A Sustainable Bioremediation Approach
Nur Lu’lu Fitriyani
; Dina Adelia
; Slamet Budiyanto
; Ristiawati
; Jaya Maulana
; Muhammad Choiroel Anwar
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
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 kombucha production, in reducing Cr levels in batik wastewater. SCOBY is a promising biosorbent for heavy metals. The research aimed to assess SCOBY's ability to decrease Cr contamination in different types of batik wastewater (hand-drawn, stamped, and printed)...
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Pendampingan Program Sekolah Ramah Anak Melalui Kerajinan Tangan Ecoprinting di SDN 02 Beji: Upaya Meningkatkan Kreativitas dan Karakter Peserta Didik di SDN 02 Beji
Tuffahati, Choirunisa Sausan
; Handini, Oktiana
; Universitas Slamet Riyadi Surakarta, Tiara Wahyu Larasati
The Community
Vol 3
, No 1
(2025)
The Child Friendly School Program assistance activities were carried out at SDN 02 Beji by providing ecoprintingbased handicraft training. The purpose of this program is to improve student ability and creativity in creating innovative products that have economic value. In this activity, students were given direct guidance in making ecoprint totebags using mashing techniques with natural materials such as leaves as colorants. This method was chosen because it is environmentally friendly and in ac...
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DUKUNGAN SOSIAL TERHADAP ORANGTUA ANAK DENGAN AUTISM SPECTRUM DISORDER DI PLDPI SURAKARTA
Jurnal Talenta Psikologi
Vol 14
, No 2
(2025)
Autism Spectrum Disorder (ASD) adalah gangguan perkembangan yang mempengaruhi kemampuan komunikasi, interaksi sosial, dan perilaku anak. Mengasuh anak dengan ASD menjadi tantangan tersendiri bagi orangtua, yang sering kali dihadapkan pada tekanan emosional, beban finansial, dan stigma sosial. Dalam konteks ini, dukungan sosial memiliki peranan penting dalam meningkatkan ketahanan psikologis dan kesejahteraan orangtua. Artikel ini membahas berbagai bentuk dukungan sosial yang dibutuhkan orangtua...
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Pelatihan Pembuatan Kain Nusantara Ecoprint dengan Teknik Iron Blanket
Jurnal Pengabdian Kepada Masyarakat
Vol 2
, No 2
(2025)
Indonesian Nusantara Fabric is a cultural heritage that has high aesthetic and philosophical value, reflecting the local wealth of various regions. Among the variety of traditional fabrics such as batik, songket, lurik, and ulos, ecoprint fabrics are present as innovations that combine traditional values with sustainability principles. Ecoprints are made using natural materials that are environmentally friendly, making them an alternative to textiles that support nature conservation. One of the...
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