Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Nursing News : Jurnal Ilmiah Keperawatan International Journal of Electrical Engineering, Mathematics and Computer Science
Intan Purwasih
Unknown Affiliation
Computer Science & IT Engineering Health Professions Mathematics Nursing Public Health

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

Found 2 Documents
Search

 1 
HUBUNGAN PENGETAHUAN DENGAN UPAYA REMAJA PUTRI DALAM MENGHADAPI PREMENSTRUAL SYNDROME DI MAN MALANG 1 Intan Purwasih; Sri Mudayati; Susmini Susmini
Nursing News : Jurnal Ilmiah Keperawatan Vol 2, No 2 (2017)
Publisher : Universitas Tribhuwana Tunggadewi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (98.478 KB) | DOI: 10.33366/nn.v2i2.480

Abstract

Pengetahuan dan sikap kesehatan reproduksi remaja dinilai masih rendah terutama pada pengetahuan mengenai pengenalan organ reproduksi menyangkut bentuk dan fungsinya serta cara perawatannya. Tujuan dari penelitian ini adalah untuk mengetahui hubungan pengetahuan dengan upaya remaja putri dalam menghadapi premenstrual syndrome di MAN Malang 1. Penelitian ini menggunakan desain cross sectional. Populasi penelitian ini adalah Siswi kelas X MAN Malang 1 berjumlah 196 orang. Pengambilan sampel pada penelitian ini dengan purposive sampling yang berjumlah 49 responden.Hasil penelitian diketahui hampir seluruh pengetahuan responden masuk kategori baik sebanyak 44 orang (89,8%). Upaya remaja putri dalam menghadapi premenstrual syndrome berada dalam kategori sangat baik sebanyak 42 orang (85,7%). Terdapat hubungan yang subtansial atau sedang antara pengetahuan dengan upaya remaja putri dalam menghadapi premenstrual syndrome di MAN Malang 1 denganp= 0,013 (p
Classification of Sales of Best-Selling Products in Ira Store Using Naive Bayes Algorithm and K-Nearest Neighbor Algorithm Yuma Akbar; Kiki Setiawan; Muhammad Joko Umbaran Kharis Bahrudin; Intan Purwasih
International Journal of Electrical Engineering, Mathematics and Computer Science Vol. 1 No. 4 (2024): December : International Journal of Electrical Engineering, Mathematics and Com
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v1i4.13

Abstract

In today's world of retail and technology, competition is fiercely competitive. With the development of retail businesses increasing in number and mushrooming in a region, consumer needs are increasing, and retail business players are competing to develop their businesses by utilizing existing technology. Daily sales transaction data continues to increase, causing a lot of storage. Toko Ira has more than 228 sales transaction data records from 2023 to 2024 that have not been used. Data requires a lot of storage space. Additionally, the data has not been used in an effective way. Based on this problem, this research aims to use data mining to classify sales transaction data to determine which items are selling best. This research is a case study with a qualitative approach. This research was conducted with the Naive Bayes method and Rapidminer was used. The results of the sales transaction data classification research are the division of products into best-selling and non-selling categories. The results of this research show that the K-Nearest Neighbors (KNN) algorithm with a 50:50 data division is more effective in predicting and classifying sales of best-selling and non-selling products in IRA stores. The results show that the Naive Bayes algorithm has an accuracy of 89.91%, while the K-Nearest Neighbors (KNN) algorithm has an accuracy of 60.09%.
Co-Authors Akbar, Yuma Kiki Setiawan Muhammad Joko Umbaran Kharis Bahrudin Sri Mudayati Susmini Susmini