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Pemberdayaan KWT Arum Lestari Desa Pandak Banyumas Melalui Inovasi Ipteks Untuk Meningkatkan Kualitas dan Pemasaran Produk Makanan Ringan
The Arum Lestari Women Farmers Group in Pandak Village, Banyumas, has a great opportunity in developing the production of snacks made from local agricultural products. The snacks produced are processed sweet potato products. The problems faced include limitations in maintaining product quality, lack of efficiency in the production process, and constraints in marketing and business management. The objective of the community service activity is to improve the quality and effectiveness of marketing...
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Integrating Digital Technologies for Sustainable Tourism: Quantitative Assessment of Tech-Enabled Organizational Practices
This study examines how digital transformation technologies drive sustainability performance in the tourism sector by integrating Internet of Things (IoT), artificial intelligence (AI), and big data analytics into organizational culture and leadership. A mixed dataset of 300 tourism enterprises in Asahan Regency, Indonesia, complemented by technical indicators such as energy consumption (kWh) and IoT penetration, was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Th...
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Digitalization Assistance Program and Human Resource Capacity Building to Enhance Transparency and Accountability of Koperasi Merah Putih in Karanganyar Gunung Village, Semarang
Widiastuti, C., T
; Sumastuti, Efriyani
; Indriasari, Ika
; Sari, Nur Latifah Dwi Mutiara
; Saputra, Risqi Dian
; Putri, Eva Yuliana
; Suroyya, Nafis
Cooperatives, as a pillar of the people’s economy, play a strategic role in improving community welfare. However, in practice, cooperatives still face various challenges, particularly in terms of digitalisation and the limited capacity of human resources (HR). This community service activity aims to enhance digital literacy and HR capacity through assistance in implementing a digital-based financial system at Koperasi Merah Putih in Karanganyar Gunung, Semarang City. The method employed is a par...
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Characteristics of Sweet Bread with Substitution of Mocaf Flour and Variation of Cilembu Sweet Potato and Yellow Pumpkin Puree
Agrobioteknologi
(2026)
Bread is a food that is favored by various groups of people. Wheat flour is the main raw material in making sweet bread. Wheat flour is made from wheat, to reduce wheat imports, wheat flour needs to be replaced with other alternative ingredients. Cilembu sweet potato is one of the sweet potato plants that has the potential to be developed in Indonesia because it is abundant and has good nutritional content. Sweet potato cilembu contain high beta carotene that can be used as a functional food. Pu...
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Strengthening Vocational High School Teachers' Pedagogical Competence in Developing AI-Based Learning Materials through Prompt Engineering Training
This paper reports a community service program designed to strengthen vocational high school teachers' pedagogical competence through prompt engineering training to support AI-assisted instructional design. The program was conducted as an in-house training at SMK Negeri 1 Bulakamba involving 90 teachers from different subject areas. Activities included initial needs mapping, hands-on training on developing teaching modules, lesson plans, and assessment items using structured prompts, followed by...
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Microwave-Pyrolysed Rice Husk-Derived Activated Carbon as a Sustainable Anode Material for Lithium-Ion Half-Cell Batteries
Surib , Nur Atiqah
; Mohd Abdah, Muhammad Amirul Aizat
; Farhana Syakirah Ismail
; Wong, Weng Pin
; Ab Latif, Farah Ezzah
; Mustafa, Muhammad Norhaffis
; Rashmi Walvekar
; Mohammad Khalid
Agricultural waste biomass is explored as a sustainable precursor for activated carbon. In this study, rice husk-derived activated carbon (RHAC) was synthesized via microwave-assisted pyrolysis and KOH activation at 600, 700, and 800 °C. The KOH activation enhanced the thermal stability of the samples, with RHAC_700 exhibiting a spongy, interconnected structure and a surface area of 390.33 m² g⁻¹. When evaluated as a half-cell anode materials for lithium-ion batteries, RHAC_700 delivered an init...
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Algoritma Apriori untuk Menganalisis Pola Pembelian Produk di PT. Tridaya Medima Sakti
WillaWiranata, Danniel Riyantus
; Sihotang, Fransiska Prihatini
; WillaWiranata, Danniel Riyantus
; Sihotang, Fransiska Prihatini
Ketidakseimbangan antara tingkat persediaan dan permintaan pasar dapat mengakibatkan kelebihan stok, meningkatnya biaya penyimpanan, dan meningkatnya risiko kerusakan produk. PT. Tridaya Sakti Medima, sebuah perusahaan distribusi farmasi yang berlokasi di Palembang, menghadapi tantangan serupa dalam mengelola persediaannya. Penelitian ini bertujuan untuk menganalisis pola pembelian dengan menerapkan teknik penambangan data menggunakan algoritma Apriori dan untuk merancang sistem rekomendasi prod...
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Optimization of Mangrove Glucomannan Addition to Improve Physicochemical Properties of Kefir
Jeki Mediantari Wahyu Wibawanti
; Zulfanita
; Dita Yuzianah
; Harisun Binti Ya’acob
; Anang Mohamad Legowo
; Setya Budi Muhammad Abduh
; Sri Mulyani
Kefir is widely recognized as a functional fermented dairy product. However, its physicochemical stability, particularly pH, acidity, and syneresis, remains a challenge during processing and storage. The addition of functional polysaccharides, such as mangrove-derived glucomannan, has been proposed to improve kefir quality. This study aimed to investigate the effect of mangrove-derived glucomannan on the physicochemical properties of kefir. A Completely Randomized Design with different concentra...
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Hybrid XGBoost-LSTM Framework for Accurate SOC, SOH, DOD and Internal Resistance Estimation in Li-ion Cells
Accurate estimation of State of Charge (SOC), State of Health (SOH), Depth of Discharge (DOD), and internal resistance is critical for Battery Management Systems (BMS) in electric vehicles and energy storage. Conventional methods fail to capture the nonlinear and temporal dynamics of lithium-ion cells, while existing machine learning approaches lack systematic benchmarking for embedded deployment. This study evaluates three hybrid models XGBoost-LSTM, XGBoost-SVR, and Linear Regression-Random Fo...
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MORPHOLOGICAL CHARACTERIZATION OF BRAIN TUMOR TISSUE IN MRI IMAGES USING CNN AND TRANSFER LEARNING
Hilmi, Dafa Fadhilah
; Wibawa, Aji Prasetya
; Agustavada, Ardha Ardhana Putra
; Sholum, Abdullah
; Dwiyanto, Felix Andika
This study evaluates the role of computational pattern recognition as an observational method for analyzing morphological characteristics of brain tumor tissue in MRI data. A total of 6,056 labeled MRI images, including glioma, meningioma, and pituitary tumor cases, were examined. The images were standardized to maintain uniform structural representation and processed using three convolutional-based architectures: a baseline CNN, MobileNetV2, and EfficientNet-B0. Model performance was assessed u...
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