Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Jurnal Statistika dan Komputasi (STATKOM) Jurnal Pengabdian dan Pemberdayaan Kesehatan
Safitri, Elsa Maulida
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Nursing Public Health Social Sciences

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

Found 2 Documents
Search

 1 
Pengolahan Limbah Minyak Goreng Menjadi Lilin Aromaterapi Sebagai Produk Yang Berdayaguna di Desa Cranggang Dawe Kudus Ismah, Kadar; Handayani, Yanulia; Riyanto, Bagus; Safitri, Elsa Maulida; Regita, Elvira Dian; Zahra, Fatimah Azz
Jurnal Pengabdian dan Pemberdayaan Kesehatan Vol. 1 No. 3 (2024): Desember 2024
Publisher : Menara Science Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70109/jupenkes.v1i3.25

Abstract

Minyak jelantah (JGO) merupakan limbah yang berasal dari rumah tangga. Berdasarkan jurnal Penelitian dan Pengabdian Masyarakat UNSIQ, banyak masyarakat yang belum mengetahui bagaimana cara mengolah JGO menjadi suatu produk yang bermanfaat dan memiliki nilai jual. Sasaran yang ingin dicapai dalam kegiatan ini adalah mengajak masyarakat untuk mengolah limbah minyak jelantah menjadi produk yang bermanfaat. Untuk mencapai sasaran tersebut, metode yang akan digunakan dalam kegiatan ini adalah praktik pengolahan minyak jelantah menjadi lilin. Dalam kegiatan ini, masyarakat akan mengolah minyak jelantah menjadi lilin aromaterapi. Hasil dari pelaksanaan kegiatan ini adalah adanya peningkatan pengetahuan tentang dampak limbah terhadap kesehatan dan lingkungan.
Clustering Study Of Hospitals In Bojonegoro Based On Health Workers With K-Means And K-Medoids Methods Safitri, Elsa Maulida
Jurnal Statistika dan Komputasi Vol. 3 No. 2 (2024): Jurnal Statistika dan Komputasi
Publisher : Universitas Nahdlatul Ulama Sunan Giri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/statkom.v3i2.3592

Abstract

Background: Hospitals are institutions that provide inpatient care for the sick. In Bojonegoro, hospital services are considered adequate. However, a shortage of nurses often requires patients' families to assist with care. Objective: This research aims to compare clustering methods to find the best method that can be applied to cluster hospitals based on the type of health workers. Methods: This study uses two clustering methods, namely K-Means and K-Medoids Clustering, which are compared to determine the best method. The data source used is secondary data, which consists of the number of medical staff for each medical position, obtained from the Satu Data Bojonegoro website in 2020. Results: The K-means method proved to be the best for grouping healthcare workforce data. Its average within-cluster distance value is -6.763, the closest to zero. The K-means method resulted in 4 clusters. These include cluster_0 (3 hospitals), cluster_1 (1 hospital), cluster_2 (1 hospital), and cluster_3 (5 hospitals). Conclusion: The clustering results show that K-Means with 4 clusters is the best method, with Cluster_0 and Cluster_3 having below-average health workers, and Cluster_1 and Cluster_2 having above-average health workers, with Cluster_2 having the highest and Cluster_3 the lowest number of health workers in Bojonegoro.
Co-Authors Handayani, Yanulia Ismah, Kadar Regita, Elvira Dian Riyanto, Bagus Zahra, Fatimah Azz