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All Journal Infotek : Jurnal Informatika dan Teknologi Jurnal Ilmu Komputer dan Sistem Informasi
Adinda Kamilasari
Politeknik Negeri Sriwijaya
Computer Science & IT Control & Systems Engineering Engineering Library & Information Science

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Evaluasi Kinerja Algoritma K-Means dan K-Medoids untuk Klasterisasi Destinasi Wisata Bali Aryanti; Dian Anjani; Muhammad Gian Azzra Ramadhan; Suci Putri Widyani; Adinda Kamilasari
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.34958

Abstract

This study aims to compare the performance of the K-Means and K-Medoids algorithms in clustering tourist destinations in Bali Province based on multidimensional characteristics, including rating, number of reviews, latitude, longitude, category, and district/city. The dataset used comes from Kaggle with 1,000 tourist destination data that have gone through a preprocessing process in the form of data cleaning, feature selection, normalization, and logarithmic transformation. The optimal number of clusters is determined using the Elbow Method in the range of K = 2 to K = 10, while the quality of the clusters is evaluated using the Silhouette Score, Davies-Bouldin Index (DBI), and Mean Squared Error (MSE). The results show that the optimal number of clusters is K = 10. K-Means produces a Silhouette Score of 0.2078, a DBI of 1.2714, and an MSE of 2.2764, thus showing better performance than K-Medoids. This study contributes in the form of a comparative evaluation of the two algorithms and recommendations for clustering methods that are more suitable for Bali tourist destination data. The research results can also support decision making in the management and development of the tourism sector.
Klasifikasi Kualitas Sinyal Radio FM Berbasis Pengolahan Citra Spektrum pada Berbagai Titik Observasi Adinda Kamilasari; Ciksadan Ciksadan; Mohammad Fadhli
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 3 (2026): September 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i3.568

Abstract

The quality of FM radio broadcast reception is strongly affected by radio wave propagation characteristics, such as distance, geographical contour, building density, and vegetation, while conventional evaluation methods using a spectrum analyzer are relatively expensive and inflexible. This study aims to develop a simple and economical method for evaluating FM radio signal quality based on spectrum image processing captured through GQRX software and an RTL-SDR Software Defined Radio module. Data were collected at 20 observation points spread across four cardinal directions (North, East, South, West) with five distance variations (2, 4, 6, 8, and 10 km) from the central reference point at the Great Mosque of Palembang, producing 1,424 spectrum images. Each image was processed through spectrum panel detection, power-axis scale reading using Optical Character Recognition (OCR), signal curve extraction, Gaussian filter smoothing, and signal peak detection to calculate the Signal-to-Noise Ratio (SNR), which was then classified according to the TIPHON standard. The results show that the average SNR ranged from 27.06–36.90 dB, with a fluctuating and non-linear distribution pattern with respect to distance. Of the 20 observation points, 18 points obtained a dominant Outstanding category and 2 points obtained an Excellent category, with none falling into the Good, Fair, or Bad categories. These results demonstrate that the RTL-SDR and GQRX-based spectrum image processing approach is effective, economical, and replicable as an FM radio signal quality evaluation method.
Co-Authors Aryanti Ciksadan Ciksadan Dian Anjani Mohammad Fadhli Muhammad Gian Azzra Ramadhan Suci Putri Widyani