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All Journal E-Jurnal Matematika Innovative: Journal Of Social Science Research
EKA N. KENCANA
Universitas Udayana
Humanities Computer Science & IT Law, Crime, Criminology & Criminal Justice Mathematics Public Health Other

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SMOTE: POTENSI DAN KEKURANGANNYA PADA SURVEI NI PUTU YULIKA TRISNA WIJAYANTI; EKA N. KENCANA; I WAYAN SUMARJAYA
E-Jurnal Matematika Vol 10 No 4 (2021)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2021.v10.i04.p348

Abstract

Imbalanced data is a problem that is often found in real-world cases of classification. Imbalanced data causes misclassification will tend to occur in the minority class. This can lead to errors in decision-making if the minority class has important information and it’s the focus of attention in research. Generally, there are two approaches that can be taken to deal with the problem of imbalanced data, the data level approach and the algorithm level approach. The data level approach has proven to be very effective in dealing with imbalanced data and more flexible. The oversampling method is one of the data level approaches that generally gives better results than the undersampling method. SMOTE is the most popular oversampling method used in more applications. In this study, we will discuss in more detail the SMOTE method, potential, and disadvantages of this method. In general, this method is intended to avoid overfitting and improve classification performance in the minority class. However, this method also causes overgeneralization which tends to be overlapping.
PERSEPSI MASYARAKAT TERHADAP KINERJA PERANGKAT DESA MENGGUNAKAN PERSAMAAN STRUKTURAL I GEDE WIRA HADY SAPUTRA; G.K. GANDHIADI; EKA N. KENCANA
E-Jurnal Matematika Vol 11 No 4 (2022)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2022.v11.i04.p386

Abstract

The purpose of this research is to determine the factors that influence the perception of rural communities on the performance of the village apparatus in Sawan District, Buleleng, Bali. The method used in this research is partial least square-structural equations modeling (PLS-SEM) method. This research was conducted in 14 villages in Sawan District, Buleleng, Bali within the research period from August to October 2021. Data was obtained through a questionnaire based on the responses of the village community in Sawan District as respondents to the performance of village officials. The number of respondents who responded to the questionnaire in this research is 134 respondents. The results of this research indicate that the village government function, village development function, and village community empowerment function have a significant effect on the performance of the village apparatus, while the village community development function has no significant effect on the performance of the village apparatus.
Pengelompokan Provinsi di Indonesia Menurut Indikator Indeks Kebahagiaan Menggunakan Metode Average Linkage Ni Wayan Rita Damayanthi; Ni Luh Putu Suciptawati; Ketut Jayanegara; Eka N. Kencana
Innovative: Journal Of Social Science Research Vol. 3 No. 4 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v3i4.4665

Abstract

Analisis klaster merupakan teknik peubah ganda yang bertujuan untuk mengelompokkan objek-objek menjadi beberapa kelompok berdasarkan karakteristik yang dimiliki oleh objek tersebut. Penelitian ini bertujuan untuk mengetahui hasil pengklasteran 34 provinsi Indonesia berdasarkan indikator indeks kebahagiaan tahun 2021 menggunakan metode average linkage. Penelitian ini menggunakan ukuran jarak Minkowski dan tujuh variabel indikator indeks kebahagiaan. Berdasarkan hasil penelitian diketahui bahwa pengklasteran dengan metode average linkage membentuk empat klaster dengan nilai akurasi sebesar 53,27 persen. Klaster 1 terdiri dari 24 provinsi, klaster 2 beranggotakan tujuh provinsi, klaster 3 terdiri dari dua provinsi, dan klaster 4 beranggotakan satu provinsi yaitu Provinsi Gorontalo.
Co-Authors G. K. Gandhiadi I GEDE WIRA HADY SAPUTRA I Wayan Sumarjaya Ketut Jayanegara Ni Luh Putu Suciptawati NI PUTU YULIKA TRISNA WIJAYANTI Ni Wayan Rita Damayanthi