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 211–220 dari 1390 artikel
Fake News Detection Using Bi-LSTM Architecture: A Deep Learning Approach on the ISOT Dataset
Journal of Computing Theories and Applications
Vol 3
, No 2
(2025)
The proliferation of fake news across digital platforms has raised critical concerns about information reliability. A notable example is the viral rumour falsely claiming that the Nigerian Minister of the Federal Capital Territory, Nyesom Wike, had collapsed at an event and was rushed to an undisclosed hospital an entirely fabricated claim that caused public confusion. While both traditional machine learning and deep learning approaches have been explored for automated fake news detection, many...
Sumber Asli
Google Scholar
DOI
2 Sitasi
Exploring Spatial Relationship in Criminal Behavior: A Spatial Analysis of Offenders’ Homes and Theft Locations in Kuching, Sarawak, Malaysia
Forum Geografi
Vol 39
, No 2
(2025)
This study aims to identify the proximity of offenders' homes to the theft location in Kuching, Sarawak. The attribute data includes the total number of theft offenders in Kuching in 2018, categorized as solo and co-offenders. It also details the modus operandi used in these thefts, as well as the offenders' employment and educational backgrounds. At the same time, spatial data consists of Kuching and Samarahan land use types, Kuching police station sector boundaries, the home addresses of offen...
Sumber Asli
Google Scholar
DOI
Implementing Lean Manufacturing Using Value Stream Mapping for Automotive Maintenance Efficiency
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 4
(2025)
Transportation is very vital to society these days as it provides mobility and maintains economic growth. In January 2022, Indonesia was Southeast Asia's largest auto market. PT Blue Bird Tbk., one of the largest car rental and transportation companies in Indonesia, faced very critical problems involving workshop efficiency and customer satisfaction. This study will optimize the car repair process via the implementation of Lean Manufacturing principles with the Digital Value Stream Mapping (DVSM...
Google Scholar
DOI
Characteristics of purple sweet potato yoghurt based on the use of different carbon sources: Karakteristik Yoghurt Ubi Jalar Ungu Berdasarkan Penggunaan Sumber Karbon yang Berbeda
JITIPARI (Jurnal Ilmiah Teknologi dan Industri Pangan UNISRI)
Vol 10
, No 2
(2025)
Purple sweet potato yogurt is a form of local food innovation made from milk fermented by lactic acid bacteria (LAB), with the addition of purple sweet potato paste to enhance flavor and color, thereby increasing consumer appeal. During fermentation, LAB require carbon derived from carbohydrates as an energy source for their metabolism and growth. Differences in carbon sources are expected to influence and produce distinct yogurt characteristics. Therefore, this study aimed to investigate the ef...
Sumber Asli
Google Scholar
DOI
Systematic Review: The Role of Physical Activity on The Incidence of Dysmenorrhea in Adolescents Aged 12-18 Years
Bratakusumah, Shinta Putri
; Aqila, Fayyaza
; Wulandari, Chairunnisa Wahid
; Alvianty, Rizka Ayu
; Nurcandra, Fajaria
Jurnal Kesehatan
Vol 18
, No 2
(2025)
Pendahuluan: Sebanyak 54,89% remaja di Indonesia mengalami kejadian dismenore jenis primer, sedangkan 45,11% remaja mengalami kejadian dismenore dengan jenis sekunder. Dismenore mempengaruhi terbatasnya aktivitas yang dapat dilakukan oleh remaja putri. Tujuan dari penulisan artikel ini yaitu untuk meninjau seberapa besar pengaruh aktivitas fisik terhadap kejadian dismenore pada remaja. Metode: Dalam proses penelusuran artikel menggunakan beberapa sumber database online seperti Google Scholar, Sc...
Sumber Asli
Google Scholar
DOI
Drug Use Pattern Analysis Model Using the K-Means Algorithm as a Basis for Stocktaking Decision Making
Journal of Multimedia Trend and Technology
Vol 4
, No 2
(2025)
Analysis of drug usage patterns using the K-Means algorithm aims to group drug usage based on its usage level and determine the most optimal number of clusters as a basis for more appropriate and efficient stock management recommendations. This study only focuses on drug usage data for the period of January 1, 2025, to June 30, 2025, with the variables used being the number of drugs used and their frequency of use. The approach used is data mining with the K-Means Clustering method, as well as c...
Sumber Asli
Google Scholar
DOI
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
Midwives’ Experiences in Providing Maternal Health Services during the COVID-19 Pandemic: A Qualitative Study at Sedayu I Primary Health Centre
Gaster
Vol 23
, No 2
(2025)
Background During the COVID-19 pandemic, midwives experienced increased physical and emotional fatigue, elevating their risk of burnout and potentially impacting the quality of maternal healthcare services. Objective This study aimed to explore midwives’ lived experiences in delivering antenatal and childbirth care during the COVID-19 pandemic. Methods A qualitative study was conducted using a phenomenological approach. Seven midwives from Sedayu I Primary Health Centre were selected through pur...
Sumber Asli
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