Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 81–90 dari 15965 artikel
Effect of Incubation Period on the Physical Quality, pH, and Bulk Density of Fermented Rice Bran
This study evaluated the effect of incubation period on the physical quality of fermented rice bran prepared with an EM4-based starter under anaerobic conditions. Rice bran was assigned to four incubation periods, namely 0 day (P0), 7 days (P1), 14 days (P2), and 21 days (P3). The observed variables were color, aroma, texture, clumping tendency, insect-related visual score, pH, and bulk density. Incubation period modified several physical attributes of the material. Color scores decreased after...
Google Scholar
DOI
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...
Google Scholar
DOI
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...
Google Scholar
DOI
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...
Google Scholar
DOI
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...
Google Scholar
DOI
Strategi Pengembangan Umkm Sweet pastry Berbasis Prinsip Ekonomi Syariah dalam Meningkatkan Ekonomi Lokal : Studi Kasus di Betungan Kota Bengkulu
DHARMA EKONOMI
(2026)
This study explores the development strategies of sweet pastry Micro, Small, and Medium Enterprises (MSMEs) based on Islamic economic principles in improving the local economy in Betungan, Bengkulu City. MSMEs play a crucial role in supporting economic growth and creating employment opportunities, particularly in the culinary sector, which has experienced significant expansion in recent years. In Betungan, sweet pastry businesses have shown promising potential; however, their development is stil...
Google Scholar
DOI
A Hybrid AI–SEMPLS Model for Digital Visualization Acceptance in Blue Tourism: Evidence from Lampung Province
Blue tourism destinations often lack advanced digital tools capable of providing real-time, AI-driven visualization and user-centered information services. This study addresses this gap by developing JELAMBU, an AI-enabled digital visualization platform, and by evaluating user acceptance through a hybrid SEMPLS models. The research aims to: (i) design and implement an AI-based system that combines chatbot interaction, realtime sentiment analytics, and digital visualization; and (ii) examine the...
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
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...
Google Scholar
DOI
Peningkatan Pemahaman Mahasiswa Kesehatan Lingkungan dalam Analisis Data dengan Media Pembelajaran Digital Melalui Inovasi E-Modul dan Video Tutorial
Jurnal Inovasi dan Pengabdian Masyarakat Indonesia
Vol 5
, No 2
(2026)
Latar belakang: Keterbatasan media pembelajaran digital yang interaktif membuat mahasiswa Kesehatan Lingkungan masih mengalami kesulitan dalam memahami proses pengolahan dan analisis data statistik, terutama dalam penggunaan perangkat lunak analisis data. Kondisi ini berdampak pada rendahnya tingkat kemandirian mahasiswa dalam menyelesaikan tugas akademik yang berbasis data. Tujuan: Kegiatan pengabdian masyarakat ini bertujuan memperkenalkan media pembelajaran digital berupa e-modul yang dilengk...
Sumber Asli
Google Scholar