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 41–50 dari 3211 artikel
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...
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
Empowering Islamic Science Literacy Through IoT Hydroponics Based Project Learning
Abdi Psikonomi
(2026)
This community service program was implemented at MTs Muhammadiyah 1 Taman, Sidoarjo, to transform simple hydroponic practices into a data-based science learning medium that integrates technology, Islamic ecological values, and green edupreneurship. The partner school had introduced hydroponics, but the activity was still manual, had not used pH, TDS, and water temperature data as learning evidence, and had not been supported by modules, worksheets, standard operating procedures, or a sustainabi...
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
Overview of Public Safety Center (PSC) 119 Call Patterns in Semarang City in 2024 as a Basis for Strengthening the Emergency Response System
Ramadhani, Salma Aulia
; Febriyanti, Anisya Ayu
; Agung Nugroho, Muhammad Farhan
; Tunggal Djaja, Melinda Valerie
; Nurhayati Loleh, Jevita Sri
; Wulandari, Respati
; Zaini, Ahmad
; Wardana, Wisnu
; Anggraini, Ira
; Handayani, Rustiyana Wuri
VISIKES
Vol 25
, No 1
(2026)
The Public Safety Center (PSC) 119 service is an integrated emergency medical system that plays a crucial role in Indonesia's pre-hospital healthcare system. The demand pattern for PSC-119 services can be influenced by various factors, including weather conditions and community mobility. In Semarang City, no research has described the weekly trends of PSC-119 calls based on case types and their relationship with weather parameters. This study aims to describe the weekly trend patterns of PSC-119...
Sumber Asli
Google Scholar
DOI
Evaluation of Sayang Beta Website Using UTAUT Method in Adolescents and Adults
Mufidaturrizqiyah, Mufidaturrizqiyah
; Caradine Resalda, Sylvia
; Dipa Fatahillah, Nuril
; Haikal, Haikal
; Pandu Suhito, Hanif
; Indriana Raniasmi, Prahita
; Sholikun, Sholikun
VISIKES
Vol 25
, No 1
(2026)
The Sayang Beta website is a digital health information media developed by the Semarang City Health Office to improve adolescent and early adult health literacy. This study aims to evaluate user acceptance of the Sayang Beta Website using the Unified Theory of Acceptance and Use of Technology (UTAUT) method. The study used a quantitative approach with a cross-sectional design of 108 respondents, who were selected through accidental sampling techniques. Data were collected using a Likert scale qu...
Sumber Asli
Google Scholar
DOI
Distribution Of Diarrhea Disease In Gunungpati Public Health Center, Semarang City, 2022-2024
Naffisa, Salma Bening
; Reswanda, Rania
; Febriana, Deva Nur
; Taryusri, Amelia
; Aqila, Fadia Hilmi
; Kautsar, Muhammad Zidan
; Mubarokah, Kismi
; Rahmawati, Nur Syahidah
; Widyaningrum, Destya Sari
; Profita, Helmy Grace
VISIKES
Vol 25
, No 1
(2026)
Diarrhea Still become problem health important communities, especially in developing countries . Research this aim for describe distribution disease diarrhea in the work area Community Health Center Gunungpati, Semarang City, in 2022–2024. Research This use design descriptive quantitative with utilize secondary data sources from report surveillance diarrhea, System Information Health Center, and profile health. All case recorded diarrhea during period study made into subject study with total sam...
Sumber Asli
Google Scholar
DOI
Long-run dynamics and error correction mechanism of inflation in Indonesia: a vector error correction model approach
This study examines the impact of BI Rate fluctuations and exchange rate movements on inflation stability in Indonesia from August 2016 to August 2025. The Vector Error Correction Model (VECM) maps long-term, short-term, and dynamic responses among variables. VECM estimations reveal a significant long-term equilibrium with an Exchange Rate coefficient of 1.9314 and a BI Rate coefficient of -0.0917. These findings highlight a high exchange rate pass-through, in which price stability is more sensi...
Google Scholar
DOI
Identifying key determinants of students' mathematics achievement using lasso regression
Cognitive, socioeconomic, and instructional factors influence students' mathematics achievement. However, modeling these determinants becomes challenging when the number of predictors is relatively large compared to the available sample size, potentially leading to unstable estimates in conventional regression models. This study aims to identify key determinants of students' mathematics achievement using the Least Absolute Shrinkage and Selection Operator (LASSO) regression approach and to const...
Google Scholar
DOI
Fractional Corner Charges in Ionic Crystals: A Case Study of Sodium Chloride Using the DV-Xα Molecular Orbital Method
Recent theoretical predictions have revealed that even simple ionic crystals such as sodium chloride (NaCl) can exhibit fractional corner charges due to their topological characteristics. In this study, we employ the DV-Xα molecular orbital method to analyze the electronic structure of NaCl clusters in 1D, 2D, and 3D configurations. Cluster models were constructed with varying atomic numbers, and their highest occupied molecular orbitals (HOMOs), net atomic charges, and electrostatic potential m...
Google Scholar
DOI