Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Keperawatan Komunitas Journal of Data Analytics, Information, and Computer Science (JDAICS)
Dina Novita Sari
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Mathematics Nursing Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PENGARUH PELVIC ROCKING TERHADAP TINGKAT NYERI PUNGGUNG BAWAH PADA PEKERJA KONVEKSI DI DESA KAYEN PATI Dina Novita Sari; Handayani, Prita Adisty; Rusmini, Sri
Jurnal Ilmu Keperawatan Komunitas Vol. 8 No. 1 (2025)
Publisher : Persatuan Perawat Nasional Indonesia (PPNI) Jawa Tengah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32584/jikk.v8i1.2753

Abstract

Background: Low back pain is pain that often occurs in the back area of the lumbosacral area. Several factors, including age, gender, work duration, and education, can influence this back pain. Lower back pain also hurts the body because it can cause muscle tension, spasms, and obstructed blood flow. The causes of lower back pain that often occur are tissue damage, muscle injury, ligaments, sprains, and tiredness. Apart from that, poor posture can also cause lower back pain. This study aimed to determine the effect of pelvic rocking on lower back pain levels in convection workers in Kayen Village, Pati Regency. Method: The study took place between April 20 and May 13, 2024. This study used quantitative methods with a pre-experimental design, employing a pre- and post-test design strategy wherein the group received a pelvic rocking treatment. This study used 35 respondents as samples. This study used the Numeric Rating Scale (NRS) questionnaire instrument to measure the level of low back pain in respondents. Results: Based on the Wilcoxon statistical test, the results of this study showed that pelvic rocking has a significant influence on the level of lower back pain in convection workers in Kayen village, Pati Regency, with a p-value of 0.00 (<0.05). Conclusion: According to this study, pelvic rocking influences lower back pain. According to this study, convection workers should perform pelvic rocking exercises between breaks to prevent and reduce lower back pain.
ANALISA POLA PEMINJAMAN BUKU DI PERPUSTAKAAN STMIK ANTAR BANGSA DENGAN METODE ALGORITMA APRIORI MENGGUNAKAN RAPIDMINER Dina Novita Sari; Kusuma Hati
Journal of Data Analytics, Information, and Computer Science Vol. 2 No. 4 (2025): Oktober
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jdaics.v2i4.3152

Abstract

Studi ini menganalisis pola peminjaman buku pada data peminjaman Perpustakaan STMIK Antar Bangsa pada periode Agustus 2023 – Agustus 2024. untuk mengidentifikasi pola asosiasi antar buku. Dengan menggunakan Algoritma Apriori yang diimplementasikan melalui perangkat lunak RapidMiner, analisa ini bertujuan mendapatkan hasil olah data peminjam, mengungkap pola peminjaman buku yang tersembunyi, serta menunjukkan penyelesaian penyusunan dan penempatan koleksi buku secara efektif. Selain itu,hasil studi menunjukkan bahwa Algoritma Apriori mampu mendeteksi pola peminjaman buku secara efektif, menghasilkan aturan asosiasi dengan confidence 100%, menandakan hubungan yang sangat kuat antar kombinasi buku. Buku bidang PPPL (Pemrograman dan Pengembangan Perangkat Lunak) memiliki tingkat asosiasi tertinggi dan dominan dalam kombinasi peminjaman. Buku APK (Agama dan Pendidikan Karakter) sering dipinjam bersama PPPL, BSS (Bahasa & Soft Skills), dan BS (Basis Data), menunjukkan kecenderungan mahasiswa meminjam buku pelengkap. Terdapat hubungan dua arah yang kuat antara TIU (Teknologi Informasi Umum) dan SIRPL (Sistem Informasi dan Rekayasa Perangkat Lunak), menandakan keterkaitan fungsional atau tematik. Interpretasi probabilitas 100% pada aturan yang ditemukan menunjukkan potensi besar untuk pengembangan sistem rekomendasi buku otomatis di masa mendatang
Co-Authors Kusuma Hati Prita Adisty Handayani Rusmini, Sri