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Fuzzy Inference System Pada Prediksi Pembelian Bahan Bakar Pertamax Pada SPBU di Kota Pematangsiantar Desi Asima Silitonga; Mawaddah Anjelita; Agus Perdana Windarto
SYNTAX Jurnal Informatika Vol 8 No 2: Oktober 2019
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (204.913 KB) | DOI: 10.35706/syji.v8i2.1841

Abstract

Banyaknya masyarakat yang menggunakan kendaraan saat ini membuat bahan bakar sangat diperlukan dalam kebutuhan sehari-hari. Pertamax merupakan bahan bakar minyak yang menjadi andalan Pertamina,karena Pertamax termasuk bahan bakar ramah lingkungan. Penelitian ini dilakukan di kota pematangsiantar dengan menggunakan beberapa enam sampel SPBU. Proses pengambilan data dilakukan dengan cara wawancara dan observasi dengan pihak SPBU. Penelitian ini bertujuan untuk memprediksi jumlah pembelian bahan bakar khususnya pertamax. Dengan menggunakan 3 variabel: penjualan (X1), persediaan (X2) dan pembelian (X3). Dimana penjualan (X1) memiliki fuzzy set bertambah dan berkurang, persediaan (X2) memiliki fuzzy set banyak dan sedikit, pembelian (X3) memiliki fuzzy set banyak dan berkurang. Hasil dari pehitungan bahwa prediksi jumlah pembelian bahan bakar pertamax dengan penjualan 4400 dan persediaan 19000 adalah 20343 liter.
Analysis of Silhouette Coefficient Evaluation with Euclidean Distance in the Clustering Method (Case Study: Number of Public Schools in Indonesia) Dedy Hartama; Mawaddah Anjelita
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i3.3318

Abstract

This study aims to find out how much the silhouette coefficient value is obtained from calculating the distance from the data to the centroid using the euclidean distance in the k-means method and to provide input in science for further research in developing the k-means method. To solve this problem, researchers use the k-means method with silhouette coefficient evaluation. Where the data source in this study took data directly from the Indonesian Central Bureau of Statistics (BPS) in the form of softcopy entitled "Statistics of Indonesia 2021" with the URL: https://www.bps.go.id. The data used in this study uses 2020 data which consists of 34 provinces. The data will be processed using the k-means method with the silhouette coefficient using the euclidean distance. The results obtained are cluster = 4 which is the best cluster for classifying the number of public schools in Indonesia by province in 2020 with a silhouette coefficient of -0.9944. By doing research, it can provide input in science for further research in developing clustering methods, especially k-means.
Co-Authors Agus Perdana Windarto Dedy Hartama Desi Asima Silitonga