Claim Missing Document
Check
Articles

Found 3 Documents
Search

THE EFFECTIVENESS OF TENS IN REDUCING THE PAIN LEVELS AMONGST WOMEN IN THE FIRST STAGE OF GIVE BIRTH Neni Nuraeni; Ade Kurniawati; Gugun Gundara
Journal of Maternity Care and Reproductive Health Vol 1, No 2 (2018): Journal of Maternity Care and Reproductive Health
Publisher : Ikatan Perawat Maternitas Indonesia Provinsi Jawa Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (562.024 KB) | DOI: 10.36780/jmcrh.v1i2.43

Abstract

The TENS instrument is a tool as an alternative of the non-pharmacological therapies to help give birth women in dealing with pain.  There are electrodes in this tool that are useful for channeling electric wave to women’s back, that it stimulates the nerves in the area pain. The signal from TENS serves to disrupt the pain signals that affect the nerves and break the pain signal, as a result reducing patients’  pain levels. The aim of the study was to find out the effectiveness of TENS towards decreasing pain levels in the first stage of labour.  The study applied the quasi-experimental research method with the one group pre-test design approach. The population was women the first stage of labour, and samples were selected using the accidental sample technique, and five women participated in this study. Data were analysed using the dependent T test. The results of the study obtained TENS with a frequency of 108 Hz and a voltage of 82 Volt is safe to patients’ skin. There was not a significant effect of TENS to the level of pain with ρ-value 0.374. It can be concluded that the TENS instrument that designed in this study is  ineffective in managing labor pain especially the first stage. There is a need further research to test this instrument in the laboratory, and redesign it related to the instrument size and packaging.Keywords: give birth, pain, TENS 
Pemberdayaan Tim Pendamping Keluarga (TPK) Berbasis Android dalam Menurunkan Angka Stunting di Tasikmalaya Falah, Miftahul; Ade Kurniawati; Taopfik Muhammad; Kaka Azi Fadhilah Febrian; Putri Nur Sabrina; Helmi Fauzan Zamaludin; Lilis Lismayanti; Nina Pamela Sari
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v6i1.11264

Abstract

Stunting merupakan kondisi balita yang memiliki ukuran badan pendek dan tidak sesuai dengan umur yang disebabkan oleh kekurangan gizi dari ibu maupun anak. Kekurangan gizi adalah krisis kesehatan masyarakat global, menyebabkan hampir setengah dari kematian anak di bawah umur 5 tahun. Tujuan kegiatan pengabdian ini adalah memberdayakan tim pendamping keluarga (TPK) untuk meningkatkan pengetahuan dan keterampilan dalam mencegah dan eliminasi stunting. Metode pengabdian yang digunakan melalui Pendidikan Kesehatan dan pelatihan keterampilan alat Kesehatan dasar untuk mendeteksi stunting. Hasil pengabdian didapatkan respon yang baik dari peserta pengabdian yang diikuti oleh tim TPK, pengetahuan peserta meningkat setelah diberikan Pendidikan Kesehatan. Peserta mampu mempraktekan penggunaan alat Kesehatan dasar untuk mendeteksi secara dini pada stunting. Kesimpulanya pemberdayaan tim TPK dalam peningkatan pengetahuan dan keterampilan penting dilakukan secara berkelanjutan untuk mendukung program pemerintah dalam menurunkan angka kejadian stunting. Disarakan untuk tim TPK yang sudah mengikuti kegiatan ini untuk bisa membagikan kembali kepada tim yang lainnya
Penerapan Algoritma Apriori dalam Data Mining untuk Analisis Pola Pembelian pada UMKM Lokal dalam Meningkatkan Strategi Pemasaran M. Afrendi; Sugeng Prayetno; Andre Kurniawan; Ade Kurniawati; Jhovimay Deviqih
Journal of Economic and Business Advancement Vol. 1 No. 3 (2026): March: Ascendia: Journal of Economic and Business Advancement
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/z0dwgz59

Abstract

A well-prepared abstract allows readers to quickly and accurately identify the basic content of a  Local MSMEs make a significant contribution to the regional economy; however, the diversity of products offered often creates difficulties for consumers in making purchasing decisions. Therefore, this study utilizes Python-based data analysis as an approach to generate product recommendations that can support the improvement of MSMEs’ marketing strategy effectiveness. This research employs a data mining method by applying the Apriori algorithm, supported by the pandas and mlxtend libraries, to analyze consumer purchasing patterns. The data processing results indicate an association between rice and cooking oil products, where rice purchases are followed by cooking oil purchases at a rate of 60%, while cooking oil purchases are followed by rice purchases at a rate of 75%. These purchasing association patterns serve as the basis for developing product recommendations, enabling MSMEs to manage inventory more optimally and design more targeted marketing strategies.