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Toward a Modular, Low-Latency Architecture with BERT-based Big Media Data Analysis
Widyawan, Widyawan
; Universitas Gadjah Mada
; Murti, Handoko Wisnu
; Semesta Data Digital
; Putra, Guntur Dharma
; Universitas Gadjah Mada
; Nurmanto, Eddy
; Semesta Data Digital
; Affandi, Achmad
; Institut Teknologi Sepuluh Nopember
Telematika
Vol 18
, No 2
(2025)
The significant growth of digital and social media platforms has introduced massive streams of unstructured media data. However, current big data approaches are not specifically tailored to the high volume and velocity of media data, which consists of unstructured and lengthy full-text messages. This study proposes a modular and stream-oriented big data architecture for media data. The proposed architecture consists of data crawlers, a message broker, machine learning modules, persistent storage...
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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 (ASSET)
Vol 7
, No 3
(2025)
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 c...
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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 (ASSET)
Vol 7
, No 3
(2025)
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...
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Association Between PAI-1 4G/5G Genetic Polymorphism and Uncontrolled Allergic Asthma
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Airway remodeling is a major challenge in the management of uncontrolled allergic asthma, despite standard therapy with a combination of inhaled corticosteroids (ICS) and long-acting bronchodilators (LABA). Increased levels of Plasminogen Activator Inhibitor-1 (PAI-1) are thought to play a role in this process, and the 4G/5G polymorphism in the PAI-1 gene is one of the genetic factors that affect it. This study aimed to analyze the association between the 4G/5G PAI-1 genetic polymorphism and unc...
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Comparative Efficacy of Two Bamboo-Derived Activated Carbons for Hospital Wastewater Remediation
Setyarini, Putu Hadi
; Pembayun, Hanum Surya
; Sulistyarini, Dwi Hadi
; Purwaningtyas, Nuretha Hevy
; Dewi, Francisca Gayuh Utami
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Liquid medical waste containing pathogens and hazardous chemicals can pollute the environment and endanger human health. The increasing volume of waste during the COVID-19 pandemic adds urgency to find effective and sustainable treatment methods. However, environmentally friendly and efficient solutions are still limited. This study aims to explore the utilization of activated carbon from two local bamboo species, Gigantochloa apus (GA) and Bambusa vulgaris (BV) as alternative adsorbents in the...
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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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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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Predicting Habitat Suitability of Mahseer Fish (Tor spp.) in Tropical River Systems Using MaxEnt and Google Earth Engine: A Geospatial Modeling Approach
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
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 machine learning algorithm. Environmental predictors, including NDVI, elevation, slope, river order, temperature, and rainfall, were extracted from Sentinel, SRTM, MODIS, and CHIRPS data. The model identified river order as the most influential variable (73%), f...
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Penguatan Sekolah Ramah Anak Melalui Pelatihan Membuat Kerajinan Kawat Bulu Untuk Menumbuhkan Karakter Peserta Didik di MI Muhammadiyah Beji
Universitas Slamet Riyadi Surakarta, Hamdani Putri Fadila
; Universitas Slamet Riyadi Surakarta, Oktiana Handini
; Universitas Slamet Riyadi Surakarta, Delvinka Putri Valentina
The Community
Vol 2
, No 2
(2025)
Kegiatan ini merupakan bagian dari program kerja Kuliah Kerja Nyata (KKN) yang bertujuan untuk memperkuat
lingkungan sekolah ramah anak di MI Muhammadiyah Beji. Cara yang digunakan adalah dengan memberikan
bimbingan dalam membentuk karakter peserta didik melalui penguatan nilai-nilai sikap positif seperti tolong
menolong, saling menghargai, tidak mengejek, serta tidak membully. Nilai-nilai ini ditekankan agar menciptakan
suasana sekolah yang aman, nyaman, dan mendukung perkembangan emosional ser...
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