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Community Service Model for 3kWp Solar Power Plant System Maintenance in the Sayung Coastal Pilgrimage Area
Kuspranoto, Abdul Haris
; Ali Hasan, Ahmad
; Permana Sabputra, Novantioro
; Ulin Nuha ABA, Muhammad
; Ali Hasan, Ahmad
; Permana Sabputra, Novantioro
; Ulin Nuha ABA, Muhammad
Jurnal Pengabdian Multidisiplin dan Pemberdayaan Masyarakat: Abdikes Trada
Vol 3
, No 1
(2026)
This community service activity aims to develop a maintenance model for a 3 kWp solar power plant (PLTS) system that is suitable for implementation in small-to-medium public service areas in Sayung, specifically the pilgrimage area of the Tomb of Sheikh Abdullah Mudzaki. The coastal setting of tidal flooding, abrasion, high humidity, and limited field access requires a more disciplined operation and maintenance (O&M) approach than typical inland locations. The methods used include synthesis...
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Building Financial Resilience of Boarding House Employees Through Financial Literacy
Inflation and post-COVID-19 economic uncertainty have placed significant financial pressure on low-income workers, including boarding house employees. This study aims to analyze the effects of financial literacy, financial attitude, and economic pressure on personal financial management behavior and financial resilience among boarding house employees in Semarang Regency. A mixed-methods sequential explanatory approach was employed, with the quantitative phase (n=150) analyzed using PLS-SEM, foll...
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Manfaat Jamur Trichoderma untuk Pertanian dan Peternakan Berkelanjutan pada Kelompok Tani Ngesti Utomo, Desa Purwosari, Kecamatan Wonogiri, Kabupaten Wonogiri
Mulyono, Ali Mursyid Wahyu
; Husein, Muhammad
; Windyasmara, Ludfia
; Wijayanti , Ariyani Wahyu
; Wedaswari , Made
; Nugroho , Aziz Widhi
; Wiraharsanto, Bovi
; Rizkaprilisa, Windy
; Rifzal , Muhammad
This community service activity aims to increase farmers' knowledge and understanding regarding the use of Trichoderma fungi in supporting sustainable agricultural and livestock systems. The extension was carried out at the Ngesti Utomo Farmers Group, Segawe Hamlet, Purwosari Village, Wonogiri District, Wonogiri Regency, with materials covering: (A) the use of Trichoderma in agriculture, (B) livestock, and (C) integrated agricultural-livestock systems. Evaluation was carried out using pre-test a...
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Effect of Freeze-Dried and Oven-Dried Cilembu Sweet Potato Flour on the Antioxidant Activity of Chicken Meatballs.
Putra, Azchar Prianka Piawan
; Sirajuddin, Muhammad Mar'ie
; Malik, Hotlan
; Husein, Muhammad
; Riskayanti, Riskayanti
; Prasetya, Rizki
; Haryati, Stefani Fitri
; Arief, Fitri Armianti
; Dami, Juni Claudia
; Amalia, Ditasari
; Masruri, Alvin
This study evaluated the effect of different dehydration methods, specifically oven drying (60°C) and freeze-drying (-20°C to 65°C), on the antioxidant activity of Cilembu sweet potato (Ipomoea batatas L. Lam) flour and its functional application in chicken meatballs. The antioxidant capacity was measured using the DPPH radical scavenging assay, with results showing that freeze-drying significantly preserved higher levels of bioactive compounds compared to thermal evaporation. Freeze-dried tuber...
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Formulation of Indigofera sp. Leaf Extract Nanoparticles Using Ionic Gelation and Freeze-Drying Method as a Feed Supplement for KUB Chickens: Improving Physicochemical Properties and Feed Applicability of Indigofera Extract
This study aimed to formulate nanoparticles of ethanol extract of Indigofera sp. leaves using the ionic gelation method combined with freeze-drying, and to evaluate their potential as a feed supplement for Kampung Unggul Balitbangtan (KUB) chickens. Indigofera leaves are known to be rich in bioactive compounds, particularly tannins and flavonoids, which act as natural antioxidants that can enhance poultry growth performance and health. However, their limited stability and bioavailability reduce...
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Reinforcement Learning for Personalised Critical Care Treatment using Scalable Parallel Computing
Utomo, Chandra Prasetyo
; Ichikawa, Kohei
; Insani, Nashuha
; Thonglek, Kundjanasith
; Xingyuan, Kang
; Maulani, Chaerita
; Rachmawati, Ummi Azizah
Sepsis is one of the leading causes of death in intensive care units. Many patients do not receive timely or effective treatment, which lowers their chances of survival. We developed a reinforcement learning–based framework to provide personalised treatment recommendations for sepsis patients. The model creates simple patient representations from treatment responses, groups patients with similar patterns, and learns the best treatment policy for each group. To reduce long training time, we use p...
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Comparative Stress Analysis of Balanced Cantilever Bridges Using MIDAS Civil Based on AASHTO, Eurocode, and IRC
Evaluating stress behavior in prestressed concrete girders during staged construction is important for structural safety. This study compares stress responses based on three design codes: AASHTO, Eurocode, and IRC. A total of 21 construction stages were simulated using MIDAS Civil 2023 to model a balanced cantilever bridge. The analysis included time-dependent effects such as creep, shrinkage, and prestress losses, following each code’s assumptions. To ensure fair comparison, material properties...
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Motorcycle Passenger-Car Equivalents from Time-Headway Data with Lane-Occupancy Adjustment in Urban Indonesia
Aulia Dewi Fatikasari
; Achmad Dzulfiqar Alfiansyah
; Zaid Dzulkarnain Zubizaretta
; Rohmahillah Aviskanasya Septiandri
; Agistya Rachma Larasati
; Roma Artha Uly Napitupulu
; Linie Rose Dayaday Santacera
; Sinta Nabilah Salma
Motorcycles dominate traffic composition in East Surabaya, making the determination of Passenger Car Equivalent (PCE) values for motorcycles a crucial aspect of road performance assessment. This research evaluates motorcycle PCE value on six road sections on Raya Prapen Street, Jemursari Street, Jemur Andayani Street, Panjang Jiwo Street, Kali Rungkut Street, and Rungkut Industri Street, each observed in two directions (12 segments in total), with samples collected during peak hours on Monday (0...
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Comparative Study of Classical and Quantum Machine Learning Models: Insights into Quantum Advantage in Materials Informatics
Quantum Machine Learning (QML) has emerged as a promising paradigm for addressing increasing computational and representational demands in materials informatics. While classical models such as Support Vector Machines (SVM) achieve strong predictive performance, they often struggle to capture complex, highly correlated interactions in high-dimensional materials data. QML addresses this challenge by leveraging quantum-mechanical principles to construct expressive feature embeddings, where prospect...
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Strengthening Quranic Literacy as an Effort to Nurture a Generation of Strong Believers at SMK Muhammadiyah 5 Surakarta
Maksum, Muh. Nur Rochim Maksum
; Hanif, Hanif Sunni Gunawan
; Abu, Aboubacar Barry
; Pangestu, Febri Bekti
; Mufidatul Azizah
; Dini Zakia Zahra
Abdi Psikonomi
(2026)
Abstract
This study aims to explore the enhancement of Qur’anic literacy as an effort to nurture the Al-Mu’min Al-Qowiy generation at SMK Muhammadiyah 5 Surakarta. The Qur’anic literacy program implemented at this school focuses not only on reading and memorization skills but also on a deep understanding of the meanings of Qur’anic verses and their application in daily life. The method used in this study is descriptive qualitative, employing data collection techniques such as interviews, observa...
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