Article Per Year (5 Year)
p-Index From 2019 - 2024
3.055
P-Index
This Author published in this journals
All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Infotech Journal Journal of Information System Jurnal Teknologi dan Sistem Komputer IJCIT (Indonesian Journal on Computer and Information Technology) JIKO (Jurnal Informatika dan Komputer) JURNAL MEDIA INFORMATIKA BUDIDARMA Indonesian Journal of Artificial Intelligence and Data Mining ILKOM Jurnal Ilmiah DoubleClick : Journal of Computer and Information Technology INTECOMS: Journal of Information Technology and Computer Science Progresif: Jurnal Ilmiah Komputer Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Journal of Applied Engineering and Technological Science (JAETS) JATI (Jurnal Mahasiswa Teknik Informatika) Abdimasku : Jurnal Pengabdian Masyarakat Paradigma
Betha Nurina Sari
Program Studi Informatika, Universitas Singaperbangsa Karawang
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Social Sciences

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : INTECOMS: Journal of Information Technology and Computer Science

 1 
Sistem Pakar Deteksi Dini HIV/AIDS Dengan Metode Forward Chaining Dan Certainty Factor Bayu Adhi Pamungkas; Apriade Voutama; Betha Nurina Sari; Susilawati Susilawati
INTECOMS: Journal of Information Technology and Computer Science Vol 4 No 1 (2021): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v4i1.2461

Abstract

Setiap tahun grafik jumlah kasus HIV di Indonesia terus mengalami peningkatan, tetapi jumlah tersebut masih diperkirakan karena peningkatan stigma dan diskriminasi yang menyebabkan masyarakat enggan untuk melakukan pemeriksaan HIV. Untuk mengatasi hal tersebut diperlukan sebuah sistem pakar sehingga masyarakat dapat melakukan pemeriksaan awal HIV melalui perangkat masing-masing tanpa perlu datang ke klinik. Tujuan penelitian ini adalah untuk merancang, mengimplementasikan, dan mengembangkan sistem deteksi dini HIV/AIDS dengan menggunakan metode rantai maju dan faktor kepastian . Metode penelitian yang digunakan yaitu ESDLC, yang terdiri dari penilaian, perolehan pengetahuan, perancangan, pengujian, dan dokumentasi.Hasil evaluasi sistem yang dilakukan menggunakan kuesioner terhadap 50 responden menunjukan hasil dari segi tampilan memiliki persentase sebesar 82,3% dan dari segi manfaat sebesar 82,2% dapat dikatakan bahwa sistem dapat diterima oleh masyarakat dengan interpretasi sangat kuat.
Cluster Analysis of Covid-19 Distribution Using K-Means Clustering Algorithm Ato Sugiharto; Betha Nurina Sari; Tesa Nur Padilah
INTECOMS: Journal of Information Technology and Computer Science Vol 4 No 2 (2021): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v4i2.2776

Abstract

Coronavirus disease (covid-19) has become a global concern after on January 20, 2020, three people were killed in the city of Wuhan, Hubei province, China. Covid-19 was first reported to have entered Indonesia on March 2, 2020, with two cases. This study aims to conduct a cluster analysis of the distribution of COVID-19 cases in West Java province as of April 1, 2021 with the variables of isolation, recovery, and death. By using the elbow method, the difference in SSE in each cluster, the silhouette graph, and the factoextra diagram, the optimum number of clusters is 3, the evaluation results show the Dunn index value = 0.4776, connectivity = 9.4738, and silhouette = 0.5839 (data structure reasoned). The clustering results show a good variance of 75.8%. Cluster 1 consists of 1 city/district, cluster 2 consists of 6 cities/districts, and cluster 3 consists of 20 cities/districts.
Co-Authors Agil Aditya Agil Aditya Anggri, Anggri Apriade Voutama aqillah Aqillah Fadia Haya Ato Sugiharto Bayu Adhi Pamungkas Budi Arif Dermawan Delpidat, Derrenz Dinda Fitriani Fida Nafisah Giustin Hannie, Hannie Ibnu Alfitra Salam Ilham, Septian Ivan Jovian Katon Wahyudi Putra Khusaeri, Ahmad Khusaeri, Ahmad Muhamad Khandava Mulyadien Nurhasanah, Desi Nurhusaeni, Muhamad Padilah, Tesa Nur Rahmat Alfanza Ratna Mufidah Reynaldi Azhar Rini Mayasari Rini Mayasari Sani Shalihamidiq Silvana Fitria Mandang Sisca Yuliantina Sisca Yuliatina Susilawati Susilawati Syafrida Nabila Salsabila Tesa Nur Padilah Tesa Nur Padilah Tia Adha Mariam Putri Ultach Enri Wira Buana Yunita Nurohmah