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 1161–1170 dari 9320 artikel
Pelatihan Pemanfaatan Limbah Minyak Jelantah Menjadi Lilin Aromaterapi Untuk Ibu-Ibu di Kelurahan Demakijo Kabupaten Klaten
Mina, Mina Putri
; Yulianti, Refica
; Megantara, Indah
; Kristiana, Pinkan Nur
; Setyawati, Elly
; Kurniawan, Jadid Bisma
; Shakti, Tivo Suta
; Puspaningrum, Puspaningrum
The Community
Vol 2
, No 1
(2025)
Used cooking oil waste is one of the environmental issues that can have adverse effects on health and ecosystems. This study aims to explore the use of used cooking oil as the main ingredient in the production of aromatherapy candles as an environmentally friendly alternative with economic value. Community service activities were conducted in Demakijo Village, Karangnongko Subdistrict, Klaten Regency, involving mothers from the PKK, Posyandu cadres, and members of the Women Farmers Group (KWT)....
Sumber Asli
Google Scholar
DOI
Inovasi Gizi Berbasis Pangan Lokal Melalui Integrasi Budi Daya Ikan dalam Galon (Budikdamlon) dan Hidroponik dalam Pencegahan Stunting
Daffina, Fabian
; Ghazali, Fabian Daffina
; Salsabil, Shafa Rizki
; Regista, Diofania
; Erlangga, Ferdian
; Karim, Choirul Abdul
; Maharani, Yashinta Intan
; Wijanarko, Clara Nur Steviyani
; Ananda, Okta Azrul
; Awalin, Lintang Daystinaya
; Kuncoro, Theopillus Nathanael
; Indreswary, Nadya Mesayu
; Nugroho, Ferdiantoro Asa
; Ruyaya, Ika Aftunifi
The Community
Vol 2
, No 1
(2025)
Stunting merupakan salah satu masalah gizi kronis yang berdampak serius terhadap kualitas sumber daya manusia di masa depan. Kondisi ini tidak hanya menghambat pertumbuhan fisik anak, tetapi juga memengaruhi perkembangan kognitif, produktivitas, dan kesejahteraan sosial ekonomi. Berdasarkan data tahun 2025, di Desa Ngabeyan, Kecamatan Karanganom, Kabupaten Klaten, tercatat 16 dari 109 balita mengalami stunting. Sebagai upaya pencegahan, mahasiswa KKN-PPM Universitas Slamet Riyadi (UNISRI) Kelomp...
Sumber Asli
Google Scholar
DOI
Improving Teachers First Aid Skills for Managing School Injuries: A Quasi-Experimental Study in an Indonesian Elementary School
Gaster
Vol 23
, No 2
(2025)
Background Injuries frequently occur within school environments, ranking as the second most common location for injury incidents due to unsafe conditions and limited first aid preparedness. Children aged 5–14 years exhibit a high prevalence of injuries, reaching 13% in school-related incidents. Teachers, as front-line responders, must possess adequate first aid knowledge and skills to manage common injuries—such as falls, bruises, nosebleeds, fainting, and seizures—before professional medical ca...
Sumber Asli
Google Scholar
DOI
Family Support and Elderly Participation in Posbindu Activities: A Cross-Sectional Study at Urug Public Health Center, Tasikmalaya
Gaster
Vol 23
, No 2
(2025)
Background: Indonesia is entering an aging population phase, in line with the global increase in the number of older adults. The World Health Organization (WHO) reports that more than 700 million people are aged 65 years and over worldwide, a figure projected to rise sharply by 2050. In response, the Indonesian government established the Integrated Development Post (Posbindu) to promote early detection, monitoring, and prevention of non-communicable diseases among the elderly. Objective: This st...
Sumber Asli
Google Scholar
DOI
Overweight Risk Factors Among Adolescents in Indonesia Based on Economic Level Disparities: A Nationwide Study
Gaster
Vol 23
, No 2
(2025)
Introduction: Overweight among adolescents in Indonesia is a growing public health issue, influenced by socioeconomic and lifestyle factors. Urbanization and economic disparities have contributed to increased consumption of calorie-dense foods and sedentary behaviors, particularly among adolescents from higher-income families. However, the role of economic status in shaping overweight risk remains underexplored. Objective: Examining socioeconomic disparities may influence the determinants of ove...
Sumber Asli
Google Scholar
DOI
Toward a Modular, Low-Latency Architecture with BERT-based Big Media Data Analysis
Widyawan, Widyawan
; Universitas Gadjah Mada
; Murti, Handoko Wisnu
; Semesta Data Digital
; Putra, Guntur Dharma
; Universitas Gadjah Mada
; Nurmanto, Eddy
; Semesta Data Digital
; Affandi, Achmad
; Institut Teknologi Sepuluh Nopember
Telematika
Vol 18
, No 2
(2025)
The significant growth of digital and social media platforms has introduced massive streams of unstructured media data. However, current big data approaches are not specifically tailored to the high volume and velocity of media data, which consists of unstructured and lengthy full-text messages. This study proposes a modular and stream-oriented big data architecture for media data. The proposed architecture consists of data crawlers, a message broker, machine learning modules, persistent storage...
Sumber Asli
Google Scholar
DOI
Analisis Kualitas Website Diskominfotik Bengkalis Menggunakan Metode Webqual 4.0
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 3
(2025)
Website Diskominfotik Bengkalis merupakan sarana penting dalam menyampaikan informasi kepada masyarakat, sehingga kualitasnya perlu dievaluasi untuk memastikan efektivitas komunikasi dan kepuasan pengguna. Penelitian ini bertujuan untuk menganalisis kualitas website Diskominfotik Bengkalis dengan menggunakan metode webqual 4.0, yang mencakup tiga dimensi utama: kualitas kegunaan (usability quality), kualitas informasi (information quality) dan kualitas layanan interaksi (service interaction qual...
Google Scholar
DOI
Web-Based Sales Management Information System for PT. Sinarta Karya Papua Using Rapid Application Development
Haloho, Haloho
; Kiswanto, Rahmat Haryadi
; Lahallo, Jim
; Haloho, Jayando
; Kiswanto, Rahmat Haryadi
; Lahallo, Jim
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2025)
PT. Sinarta Karya Papua, a medium-scale enterprise in Eastern Indonesia, faces operational challenges due to its reliance on manual sales recording systems, leading to data duplication, delayed reporting, and limited information transparency. This hinders operational efficiency and strategic decision-making. This study aims to develop a web-based sales management information system addressing these issues using the Rapid Application Development (RAD) methodology, selected for its rapid prototypi...
Google Scholar
DOI
Urban Expansion, Climate Vulnerability, and Transportation Resilience: Insights for Sustainable Development
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Climate change poses a significant threat to transportation infrastructure, particularly in rapidly urbanizing regions like Bumi Serpong Damai (BSD) City, Indonesia, which faces increased risks of flooding and the urban heat island (UHI) phenomenon. However, limited research has assessed the combined impacts of climate and land use changes on infrastructure resilience. This study addresses this gap by integrating remote sensing analysis, climatological data, field observations, and stakeholder i...
Google Scholar
DOI
Enhanced Air Quality Prediction Using AI: A Comparative Study of GRU, CNN, and XGBoost Models
Kayam Saikumar
; Munugapati Bhavana
; Rayudu Prasanthi
; Singaraju Suguna Mallika
; Deepthi Kamidi
; Naveen Malik
; Kapil Joshi
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Weather monitoring is vital due to environmental changes and rising air pollution, which affects health and lifestyles. Accurate air quality prediction models are essential yet challenging due to complex weather-pollution interactions. This study employs explainable deep learning and machine learning techniques—GRU, CNN, and XGBoost—on a custom dataset of 100,000 samples with 15 features, including PM2.5, PM10, humidity, and temperature. Using SHAP for interpretability, the GRU model outperforms...
Google Scholar
DOI