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 1–2 dari 2 artikel
The Influence of Social Environment on Mental Health of Pregnant Women at Tilongka Billa Community Health Center
Hastuti Hastuti
; Sulistiyah Sulistiyah
Jurnal Inovasi Riset Ilmu Kesehatan
Vol 3
, No 4
(2025)
Background: Mental health during pregnancy is influenced by multiple factors, including the social environment. Family support, peer interactions, and community engagement are critical determinants of psychological well-being, yet their impact local community health settings remains underexplored. Objective: This study aimed examine the influence the social environment the mental health pregnant women Tilongka Billa Community Health Center. Methods: A quantitative correlational study was conduct...
Sumber Asli
Google Scholar
DOI
Penerapan Algoritma Particle Swarm Optimization (PSO) pada Sistem Penjadwalan Kegiatan Mentoring Baca Tulis Al-Qur'an
Serliana Serliana
; Rahman Rahman
; Hastuti Hastuti
; Farida Yusuf
; A. Mustika Abidin
Switch : Jurnal Sains dan Teknologi Informasi
Vol 3
, No 5
(2025)
The application of algorithms in the mentoring activity scheduling system is an innovative solution to overcome the complexity of time and resource management. This study aims to develop a mentoring activity scheduling system for Reading and Writing the Qur'an (BTQ) using the particle swarm optimization (PSO) algorithm. The PSO algorithm was chosen because of its ability to find optimal solutions efficiently through a particle population approach. This system is designed to meet the schedule pre...
Sumber Asli
Google Scholar
DOI