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Promoting Hydroponics Learning with Gamification Approach
Journal of Multimedia Trend and Technology
Vol 4
, No 2
(2025)
Hydroponics is a farming technique without using soil media instead of water, it has many advantages compared to conventional general techniques in terms of resource efficiency. The use of hydroponics has gained wide popularity due to space optimization. Due to its simplicity, hydroponics method has attracted many new entrepreneurs especially from youngsters. Although it is quite popular nowadays, the hydroponics adoption for Indonesian farmers is quite limited due to lack of training exposure a...
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Barriers to Lean Manufacturing Implementation in the Bakery Industry: An Empirical Study from Indonesia
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 4
(2025)
The implementation of lean manufacturing is essential for companies to minimize waste by reducing non-value-added activities while maintaining product quality and customer satisfaction. Despite its advantages, various barriers hinder its optimal application. This study aims to identify the factors that impede the implementation of lean manufacturing and determine the most dominant factors in bakery factories in Indonesia. The research was conducted across 14 bakery factories on the islands of Su...
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Pelatihan Pemanfaatan Limbah Minyak Jelantah Menjadi Lilin Aromaterapi Untuk Ibu-Ibu di Kelurahan Demakijo Kabupaten Klaten
Mina, Mina Putri
; Yulianti, Refica
; Megantara, Indah
; Kristiana, Pinkan Nur
; Setyawati, Elly
; Kurniawan, Jadid Bisma
; Shakti, Tivo Suta
; Puspaningrum, Puspaningrum
The Community
Vol 2
, No 1
(2025)
Used cooking oil waste is one of the environmental issues that can have adverse effects on health and ecosystems. This study aims to explore the use of used cooking oil as the main ingredient in the production of aromatherapy candles as an environmentally friendly alternative with economic value. Community service activities were conducted in Demakijo Village, Karangnongko Subdistrict, Klaten Regency, involving mothers from the PKK, Posyandu cadres, and members of the Women Farmers Group (KWT)....
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Quality of Life Among Diabetic Patients Using Transtibial Prostheses: A Descriptive Study
Gaster
Vol 23
, No 2
(2025)
Background Diabetes mellitus (DM) is a chronic condition that increases the risk of foot infections, which may lead to gangrene and, in severe cases, lower limb amputation. Transtibial amputation is among the most common procedures, accounting for approximately 85–90% of all limb amputations. The use of a prosthesis is expected to enhance the quality of life (QoL) of post-amputation patients, yet outcomes may vary based on individual factors and causes of amputation. Objective This study aimed t...
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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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Optimizing the Productivity of Traditional Textile Artisans through Education and Training for a Sustainable Cultural Industry
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
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 select...
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Digital Transformation of Import Logistics for Operational Efficiency: Case-Based Evidence from the Plastics Industry
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
This study aims to explore the use of digital systems to reduce import process costs, increase the percentage of national direct deliveries from ports to consumers, and analyze the impact of proposed improvement measures. The research employs a single case study approach with data collected through observation, document analysis, and quantitative data collection from one of the biggest plastic resin distribution companies in Indonesia. The data were analyzed using the CIMO (Context-Intervention-...
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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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Multi-Horizon Short-Term Residential Load Forecasting Using Decomposition-Based Linear Neural Network
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Short-Term Load Forecasting is crucial for grid stability and real-time energy management, particularly in residential settings where consumption is highly volatile and influenced by behavioral and external factors. Traditional models struggle to capture complex, non-linear patterns. This study proposes a forecasting framework based on the DLinear model, which decomposes time series data into trend and seasonal components using a simple linear neural network architecture. Designed for multi-hori...
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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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