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Yudistira
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Journal : Journal of Mathematics, Computation and Statistics (JMATHCOS)

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Klasifikasi Menggunakan Metode Support Vector Machine (SVM) Multiclass pada Data Indeks Desa Membangun (IDM) di Provinsi Maluku Latuconsina, Fidyah; Noya van Delsen, Marlon Stivo; Yudistira
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.3624

Abstract

Indeks Desa Membangun (IDM) merupakan konsep dasar dalam melakukan pembangunan dan pengembangan potensi desa. IDM terdiri dari Indeks Ketahanan Sosial (IKS), Indeks Ketahanan Ekonomi (IKE), dan Indeks Ketahanan Lingkungan (IKL). Status kemajuan dan kemandirian suatu desa dibagi menjadi beberapa tingkatan yaitu desa mandiri, desa maju, desa berkembang, desa tertinggal, dan desa sangat tertinggal. Penelitian ini bertujuan untuk mengetahui penerapan metode Support Vector Machine (SVM) Multiclass pada klasifikasi IDM di Provinsi Maluku, serta mengetahui tingkat akurasi pengklasifikasian pada IDM di Provinsi Maluku yang dihasilkan menggunakan metode SVM Multiclass. Berdasarkan hasil penelitian, klasifikasi SVM Multiclass dengan menggunakan fungsi kernel yang terbaik terdapat pada kernel linear dengan nilai akurasi sebesar 97,75%. Adapun hasil pengelompokan IDM Provinsi Maluku dengan metode SVM Multiclass fungsi kernel linear adalah sebagai berikut: 75 desa dengan kategori mandiri, 291 desa dengan kategori maju, 585 desa dengan kategori berkembang, 245 desa dengan kategori tertinggal, dan 4 desa dengan kategori sangat tertinggal.
Analisis Potensi Budaya di Provinsi Maluku dengan Pendekatan Statistika Spasial Yudistira; Loklomin, Samsul Bahri
Journal of Mathematics, Computations and Statistics Vol. 6 No. 1 (2023): Volume 06 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

Culture advancement as part of a sustainable national development, needs to be supported bydata and information about factual conditions of cultural potential at national, provincial and districtlevel. However, until now there have not been many quantitative studies with subject related to culture.This research was one of efforts made to enrich quantitative studies related to cultural studies, as well asimplemented such knowledges about spatial statistics for cultural data and information. The main methodused in this research was secondary data analysis from various sources related to cultural potential inMaluku Province, which was available down to district level. Some spatial statistic measures used areGlobal Moran index, Local Indicators for Spatial Association (LISA), as well as spatial cross-correlation,which are applied to all variables related to cultural potential in this research. The results of analysisgenerally didn’t show statistically significant of spatial autocorrelation for each of these culturalpotentials. Nonetheless, there were several important results conducted in this research, that would beinteresting to note as basis for formulating cultural development policies in Maluku Province.
Co-Authors A Zarkasi Allen, Rio Valery Amirah Andhitara, Yovita Arlitha Deka Yana Baiq Peni Rahmawati Batubara, Fanny Yuliana Bramianto Setiawan Bustanuddin . Darwina, Mely Desyani Ariza Djinis, Musdar Effy Ernita, Yuni Erwanike A, Gustiga Firdy, Rio Gita Juhara Handayani, Dede Handini, Nasya Hasman, Elvin Herdian, Fithra Hilmi Musyaffa, Muhammad I Gde Mertha Ijmah Ikhlas Zul Amal Irwan A Jethro Budiman, Jethro Juliana, Sharfina Ka’ba Paharu Kurnianto, Aditya Laelatul Alya Istiana Latuconsina, Fidyah Lisdah Wati Loklomin, Samsul Bahri Mellyana Candra Mely Darwina Muchamad Rifki Muhmmad Musdar Effy Djinis Nasya Handini Noya Van Delsen, Marlon Stivo NURHALIMAH Nurmala Sari Pangestoeti, Wahyu Poyo, M. Rezky, Reyno Rildiwan Roy Monang Sandra Melly Setiadi, Jeffri Sofiah Rahmi Sumayani Sri Aulia Novita Suwandi, Ilham Tambak, Yahya Titi Purnama Umayrah Ummu Ashyfah Warni Larasati Wawan Hernawan Zulnadi