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 4618 artikel
EFFECT OF RAW MATERIAL PROPORTIONS ON THE QUALITY OF COMPOST FROM CLOVE LEAF LITTER AND CATTLE MANURE
Kartini, Ni Luh
; Bimantara, Putu Oki
; Vanessa
; Hutagalung, Trianita Br.
; Grace, Querida Maria
; Rucika, I Wayan Alit
; Pardosi, Ivana Cein
; Sitanggang, Manumpak Pardingotan
; Anggarini, Ni Wayan Sri
; Maulidhya, Rachel
; Simbolon, Randa
; Manihuruk, Yesika
Agrisaintifika : Jurnal Ilmu - Ilmu Pertanian
Vol 10
, No 1
(2026)
Agricultural and livestock wastes are widely available in clove-producing areas but remain underutilized as organic fertilizer inputs. This study aimed to evaluate the quality of compost produced from clove leaf litter, cattle manure, and agricultural residues based on physical and chemical characteristics. The experiment was arranged using a randomized block design with nine treatment combinations and three replications. Compost quality parameters analyzed included organic carbon content, total...
Google Scholar
DOI
Dukungan Orang Tua Berbasis Lingkungan Bermain di Rumah dan Kesiapan Anak Masuk Sekolah Dasar
Adriani Rahma Pudyaningtyas
; Pudyaningtyas, Adriani Rahma
; Rahmawati, Anayanti
; Dewi, Nurul Kusuma
; Sholeha, Vera
; Palupi, Warananingtyas
; Sutapa, Panggung
Paudia
Vol 15
, No 1
(2026)
Studi ini dilakukan untuk menganalisis hubungan antara dukungan orang tua berbasis lingkungan bermain di rumah dengan kesiapan anak memasuki sekolah dasar (SD). Latar belakang penelitian ini berangkat dari pentingnya masa transisi anak dari pendidikan anak usia dini ke pendidikan dasar yang menuntut kesiapan sosial-emosional, kognitif, dan regulasi diri yang baik. Metode penelitian yang digunakan adalah kuantitatif dengan pendekatan deskriptif korelasional. Subjek penelitian berjumlah 102 orang...
Sumber Asli
Google Scholar
DOI
PERAN MODIFIKASI PERILAKU DALAM MENGATASI GANGGUAN KECEMASAN PADA REMAJA
Jurnal Talenta Psikologi
Vol 15
, No 1
(2026)
Gangguan kecemasan pada remaja merupakan masalah kesehatan mental global dengan prevalensi yang terus meningkat, memberikan dampak negatif pada kinerja akademik, hubungan sosial, dan kesejahteraan psikologis. Salah satu pendekatan yang efektif untuk mengatasi hal ini adalah modifikasi perilaku, yang bertujuan mengubah pola pikir dan perilaku maladaptif menjadi lebih adaptif melalui teknik seperti pelatihan relaksasi, desensitisasi sistematis, dan penguatan positif. Penelitian ini bertujuan untuk...
Sumber Asli
Google Scholar
DOI
Harnessing Artificial Intelligence for Early Disease Detection: Opportunities and Challenges in Modern Healthcare
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
Artificial Intelligence (AI) is increasingly recognized as a transformative enabler of early disease detection, with the potential to improve diagnostic accuracy, support predictive risk stratification, and advance preventive healthcare. Despite rapid methodological progress, many existing reviews remain performance-centric, offering limited insight into generalizability, ethical governance, and real-world implementation constraints. This paper presents a narrative and integrative review with an...
Sumber Asli
Google Scholar
DOI
Immersive Interventions for Dementia: A Narrative Review of Virtual Reality's Role in Therapy, Well-Being, and Future Care Models
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
Dementia is a progressive neurocognitive disorder often accompanied by behavioral and psychological symptoms such as agitation, anxiety, and depression. Pharmacological treatments provide only modest benefits while introducing significant risks, which highlights the need for safer, non-pharmacological alternatives. This literature review examines the role of virtual reality in dementia care, with a focus on its integration with therapies such as music, reminiscence, sensory stimulation, and cogn...
Sumber Asli
Google Scholar
DOI
Peningkatan Keterampilan Perawatan Peralatan Medis Bagi Pengasuh Bayi dan Anak di Rumah Anak Surga Melalui Sosialisasi dan Edukasi
Jurnal Suara Pengabdian 45
Vol 5
, No 1
(2026)
Pengunaan peralatan elektromedik merupakan faktor krusial dalam pemantauan kesehatan bayi dan anak terutama pada akurasi hasil yang di peroleh. Sesuai dari data yang didapat bahwa mitra telah memiliki sarana medis dasar yang memadai, namun diperlukan standarisasi manajemen pemeliharaan untuk menjaga fungsionalitas alat dalam jangka panjang. Kegiatan pengabdian masyarakat ini bertujuan untuk memperkuat kapasitas teknis para pengasuh dalam pengoperasian dan perawatan peralatan medis secara mandiri...
Sumber Asli
Google Scholar
DOI
USB Breakout-Controlled Modular CNC System for Affordable Smart Manufacturing Solutions
Artono, Budi
; (Google Scholar ID: Hef9Vq0AAAAJ, Politeknik Negeri Madiun)
; Winarno, Basuki
; State Polytechnic of Madiun
; Kusbandono, Hendrik
; State Polytechnic of Madiun
; Anata, Frian Adi
; Gupta, Shashi Kant
Telematika
Vol 19
, No 1
(2026)
The primary objective of this study is to design, develop, and experimentally validate a low-cost modular CNC system controlled via a USB Breakout Controller as an affordable machining solution for small-scale wood manufacturing. The research employed an experimental approach involving the fabrication of an 18 mm plywood test specimen under three feed-rate settings (40%, 50%, and 70%) to evaluate dimensional accuracy, machining time, and surface quality. The CNC prototype was constructed using s...
Sumber Asli
Google Scholar
DOI
Comparative Analysis of UFW and CSF Using the SEPER Framework
Kurniawan, Arif
; Yusuf, Muhamad
; Institut Teknologi Tangerang Selatan
; Prasetio, Agung Budi
; Institut Teknologi Tangerang Selatan
Telematika
Vol 19
, No 1
(2026)
This study presents a comparative evaluation of two widely used Linux-based firewall solutions, Uncomplicated Firewall (UFW) and ConfigServer Security & Firewall (CSF), using the SEPER framework, which encompasses Security, Performance, Effectiveness, and Reliability dimensions. While previous studies have examined Linux firewall configurations individually, systematic comparisons that apply a structured evaluation framework such as SEPER remain limited. The experiments were conducted on Ubu...
Sumber Asli
Google Scholar
DOI
A Clustering-Popularity-based Model for Cold-Start Recommendations using User Attributes and Item Ratings
Ifada, Noor
; University of Trunojoyo Madura
; Nikmat, Moh
; Universitas Trunojoyo Madura
; Suristiar, Weni Pratiwi
; Universitas Trunojoyo Madura
; Sophan, Mochammad Kautsar
; Universitas Trunojoyo Madura
Telematika
Vol 19
, No 1
(2026)
Recommendation systems face a major challenge known as the cold-start problem, which occurs when the system lacks sufficient user interaction data. Thus, there is no basis for a recommendation. Existing approaches, such as co-clustering methods and non-personalized popularity models, often struggle to effectively combine heterogeneous user and item data (categorical user attributes and numerical item ratings) or to capture latent group-level preferences. To bridge this gap, we propose a new clus...
Sumber Asli
Google Scholar
DOI
Performance Analysis of Ensemble Learning Models in Heart Failure Prediction: Random Forest, AdaBoost, and XGBoost
Beny, Beny
; Dinamika Bangsa University
; Yani, Herti
; Satya Wacana Christian University
; Yupu, Gangga Ramadhan Putra
; Dinamika Bangsa University
Telematika
Vol 19
, No 1
(2026)
Heart failure remains a major global health challenge, and early prediction is essential for improving patient outcomes. This study evaluates three ensemble learning methods, namely Random Forest, AdaBoost, and XGBoost, using the Heart Failure Prediction dataset containing 918 patient records from Kaggle. A quantitative experimental design was applied, including preprocessing with KNN imputation, model development, and evaluation using 10-Fold Cross Validation. Performance was assessed through a...
Sumber Asli
Google Scholar
DOI