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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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Strengthening Ecoprint Batik Branding through Motif Identity and Storytelling: A Community Service Program at Zulfa Ecobay
Praswati, Aflit Nuryulia
; Lina Agustina
; Aulia Uswatun Khasanah
; Subroto
; Sartono Putro
; Ahmad Fauzan Tirmidzi
Abdi Psikonomi
(2026)
The competitiveness of creative Micro, Small, and Medium-Sized Enterprises (MSMEs) is increasingly influenced by their ability to develop distinctive product identities that communicate cultural values. However, many ecoprint batik MSMEs still market their products without unique motif identities, philosophical meanings, or storytelling, limiting their branding potential and product differentiation. This community service program aimed to strengthen the product identity of Zulfa Ecobay, an ecopr...
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Pengelolaan Sampah Tingkat Rumah Tangga Melalui Bank Sampah
Dhaningtyas, Shalihat Afifah
; Kristini, Tri Dewi
; Nursetia, Cantika Dwi
; Astiah, Delfika Dwi
; Anggara, Muhammad Surya
; Wibowo, Aditia Fajar Putra
Jurnal Inovasi dan Pengabdian Masyarakat Indonesia
Vol 5
, No 2
(2026)
Latar belakang: Peningkatan jumlah penduduk dan bangunan mengakibatkan peningkatan jumlah konsumsi barang yang dapat menghasilkan sampah TPS (Tempat Pembuangan Sementara). Sampah di sekitar permukiman penduduk sudah tidak mampu lagi menampung volume sampah yang terus meningkat. Tujuan: mengetahui peningkatan pengetahuan warga tentang pengelolaan sampah tingkat rumah tangga. Metode: metode yang digunakan yaitu observasi dengan ceramah, praktik langsung, dan mengerjakan soal pre-test dan post-test...
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A Decision Support System Based on Transformer-Driven Sentiment Analysis of Social Media Data
The growing availability of social media data offers new opportunities for decision support systems (DSS) in large-scale human resource screening. This study proposes a technology-driven DSS architecture integrating transformer-based sentiment analysis to support early-stage candidate profiling. Its novelty lies in combining IndoBERT-based sentence embeddings with a structured DSS layer that aggregates tweet-level sentiment into risk-aware recommendations, rather than treating sentiment classifi...
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Intervensi Edukasi Reproduksi untuk Cegah Infeksi Menular Seksual pada Remaja Melalui Sekolah
Jurnal Inovasi dan Pengabdian Masyarakat Indonesia
Vol 5
, No 2
(2026)
Latar belakang: Remaja merupakan kelompok usia yang rentan terhadap infeksi menular seksual (IMS) dan human immunodeficiency virus/acquired immuno deficiency syndrome (HIV/AIDS) akibat kurangnya akses terhadap informasi kesehatan yang akurat dan edukatif. Kondisi ini menunjukkan perlunya intervensi edukatif yang sistematis dan berbasis sekolah guna meningkatkan pemahaman remaja mengenai kesehatan reproduksi serta pencegahan IMS dan HIV/AIDS. Tujuan: Kegiatan ini bertujuan untuk meningkatkan peng...
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