Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal Journal Of World Science Jurnal Sosial dan Sains
Bani Riyan, Ade
Unknown Affiliation
Astronomy Computer Science & IT Economics, Econometrics & Finance Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Social Sciences

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

Found 2 Documents
Search

 1 
Analysis and Design of Student Point Systems to Improve Student Achievement using The Clustering Method Bani Riyan, Ade; Fikri Rifai, Mochamad; Juliane, Christina
Journal of World Science Vol. 2 No. 3 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i3.155

Abstract

The student points system is an application for recording students' achievement and offense points. The lack of recording and dissemination of information on achievement results makes students less motivated to improve achievement, and the distribution of scholarships for outstanding students is inappropriate. To improve student achievement, an application program is needed that can record and disseminate student achievement data in real-time, accurate, and effective. So, the purpose in this study is to know and analyze the design of the student point system to improve student achievement using the clustering method. Researchers use the Clustering Method in calculating data to determine the accuracy of scholarship distribution for outstanding students. Clustering with the most achievement points is clustering 2 with 25,254 Achievement Points. The total number in the level 2 cluster is 1,797 which indicates the number is close to 2,000 or 2 which is the result of data transformation from the junior high level. The implication of clustering research on student point data is to provide useful information for the Foundation as an institution that houses schools in allocating scholarships for outstanding students. In this case, clustering 2 with the highest number of Achievement Points indicates that there is a group of students with high achievement points. By using the clustering results, the Foundation can allocate scholarships more effectively and efficiently, because it can identify outstanding students from various school levels more easily.
Analisis Korelasi Temporal Kasus HIV Antar Kabupaten/Kota di Jawa Barat Menggunakan Visualisasi Heatmap Berbasis Python Bani Riyan, Ade
Jurnal sosial dan sains Vol. 5 No. 2 (2025): Jurnal Sosial dan Sains
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsosains.v5i2.32061

Abstract

Penyebaran kasus HIV di Jawa Barat menunjukkan pola yang dinamis antar kabupaten/kota, yang dipengaruhi oleh faktor mobilitas penduduk, kebijakan kesehatan, dan akses layanan. Penelitian ini bertujuan untuk menganalisis korelasi temporal kasus HIV antar kabupaten/kota di Jawa Barat menggunakan visualisasi heatmap berbasis Python. Metode yang digunakan mencakup pengumpulan data dari portal Open Data Pemerintah Provinsi Jawa Barat, pra-pemrosesan data, perhitungan korelasi Pearson, dan visualisasi hasil menggunakan heatmap. Hasil penelitian menunjukkan adanya korelasi positif kuat pada wilayah dengan mobilitas tinggi seperti Kabupaten Bandung, Kabupaten Bandung Barat, dan Kota Bekasi, yang mencerminkan tren serupa dalam peningkatan kasus HIV. Sebaliknya, wilayah dengan perbedaan kebijakan kesehatan, seperti Kabupaten Purwakarta dan Kabupaten Garut, menunjukkan korelasi negatif yang signifikan. Kesimpulannya, pola penyebaran HIV di Jawa Barat dipengaruhi oleh faktor sosial, ekonomi, dan kebijakan kesehatan yang berbeda antar wilayah. Implikasi penelitian ini penting untuk merumuskan strategi pencegahan yang lebih terfokus pada mobilitas penduduk dan pemerataan akses layanan kesehatan. Pemerintah daerah diharapkan dapat meningkatkan deteksi dini dan layanan HIV di daerah dengan angka kasus yang lebih rendah, serta memperkuat intervensi di wilayah dengan risiko penyebaran tinggi. Dengan pendekatan berbasis data yang lebih komprehensif, pengendalian HIV di Jawa Barat diharapkan dapat lebih efektif dan mencapai target eliminasi pada tahun 2030.
Co-Authors Christina Juliane, Christina Fikri Rifai, Mochamad