Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal Madani: Multidisciplinary Scientific Journal Socius: Social Sciences Research Journal
Sinaga, Kezia Theodora
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics Public Health Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Madani: Multidisciplinary Scientific Journal

 1 
Analisis Kesulitan Mahasiswa Statistika Universitas Negeri Medan Dalam Penulisan Artikel Ilmiah Sinaga, Anita; Putri, Aulia Kusuma; Sinaga, Kezia Theodora; Deswan, Meisyy Laisa Usrini; Putri, Maharani Renika; Dalimunthe, Syairal Fahmy
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 2 (2025): March
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15072394

Abstract

This study aims to explore the challenges faced by students of the Statistics Study Program at Universitas Negeri Medan in the process of writing scientific articles. Previous research has shown that these difficulties are related to motivation, time, and access to references. The method applied in this study is a survey using a questionnaire. The findings indicate the importance of enhancing academic guidance, training in scientific writing, and utilizing technology to support the writing process. The conclusion emphasizes that support from academic institutions is essential in helping students overcome these difficulties, enabling them to produce scientific articles that meet the expected academic standards.
Penggunaan Metode K-Means Clustering Pemetaan dan Klasterisasi Tempat Wisata di Kabupaten Deli Serdang Beatrice, Chelsea; Inggrid, Antonia; Sinaga, Kezia Theodora; Sinaga, Albert Samuel
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 3 (2025): April 2025
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15276418

Abstract

A problem that often arises is the lack of a clear system for categorizing and classifying tourist attractions based on geographical characteristics. Tourist route planning, supporting infrastructure development, and targeted promotion strategies all become more difficult because of this. As a result, a data-driven approach is needed to more systematically analyze and map tourist attractions in Deli Serdang Regency. This research aims to map and cluster tourist attractions in Deli Serdang Regency based on spatial characteristics and entrance ticket prices using the K-Means Clustering method. This method is used to group tourist sites into several categories based on the similarity of attributes, which include geographic coordinates (latitude and longitude), ticket prices, and distance to the city center as a reference location. The data were analyzed using a spatial statistics approach using Python, while spatial visualization of the clustering results was done with the help of QGIS software to facilitate interpretation of the area. The results of the analysis show that tourist attractions in Deli Serdang Regency can be grouped into three main clusters, each representing tourist groups that are very close, close, and far from the city center, and have differences in the range of admission prices. Evaluation of cluster quality using the Davies-Bouldin Index (DBI) resulted in a value of 1.377, which indicates that cluster formation has been quite good, although there is room for improvement. Thus, this study succeeded in mapping and clustering tourist attractions in Deli Serdang spatially using the K-Means Clustering approach, which is expected to contribute to tourism promotion planning and tourist destination development in the region.
Co-Authors Beatrice, Chelsea Damanik, Ayu Lestari Deswan, Meisyy Laisa Usrini Inggrid, Antonia Putri, Aulia Kusuma Putri, Maharani Renika Sinaga, Albert Samuel Sinaga, Anita Surbakti, Christina Amanda Syairal Fahmy Dalimunthe