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I MADE EKA DWIPAYANA
Universitas Udayana
Education

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Identifikasi Pola Spasial dan Autokorelasi Spasial pada Data Kemiskinan di Provinsi Lampung Tahun 2022 Ni Kadek Feni Darmayanti; Gusti Ayu Ariska Citra Dewi; Made Harisa Yukesani; Ni Luh Suciptawati; I Made Eka Dwipayana
Journal on Education Vol 6 No 2 (2024): Journal on Education: Volume 6 Nomor 2 Tahun 2024
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v6i2.5161

Abstract

Fenomena sosial yang sering terjadi di beberapa negara, termasuk Indonesia adalah kemiskinan. Provinsi Lampung adalah salah satu dari sepuluh provinsi paling miskin di Indonesia. Lampung adalah tempat yang sangat strategis untuk mengembangkan perkebunan besar seperti kelapa sawit, karet, padi, ubi kayu, coklat, kopi, dan tebu. Namun, Lampung masih menjadi provinsi dengan jumlah penduduk miskin terbanyak di Indonesia. Pada artikel ini akan ditelaah bagaimana pola distribusi kemiskinan di Provinsi Lampung tahun 2022 menggunakan pendekatan Variance to Mean Ratio (VTMR) kemudian diuji autokorelasi spasial global dengan Indeks Moran dan autokorelasi spasial lokal dengan LISA. Dengan menggunakan data sekunder mengenai data jumlah penduduk miskin dari 15 kabupaten di Provinsi Lampung tahun 2022 yang diperoleh dari website BPS Lampung, hasil analisis menunjukkan bahwa pola sebaran data kemiskinan di Provinsi Lampung cenderung berkelompok positif serta terdapat autokorelasi spasial tetapi korelasinya sangat rendah.
Analisis Pola Sebaran Kasus TBC di Jawa Barat Dengan Pendekatan VTMR dan Autokorelasi Spasial Luh Gde Trishia Damayanti; Ni Wayan Liana Sukmawati; Ni Putu Ananda Puspita Sari; Ni Luh Putu Suciptawati; I Made Eka Dwipayana
Journal on Education Vol 6 No 3 (2024): Volume 6 Nomor 3 Tahun 2024
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v6i3.5498

Abstract

The highest Tuberculosis cases were observed in West Java Province. One of the factors are suspected to be the cause is the relationship between neighboring regions. The spread of disease between these areas forms a distribution pattern such as clustered, dispersed, and random which can be detected by the VTMR, Moran's I, and LISA methods. The results of the study with data on Tuberculosis Rates in West Java Province in 2021 showed that with the VTMR method, the distribution pattern of this disease is clustered. Using the spatial autocorrelation such as Moran's I and LISA, it was found that the distribution pattern formed was random. In the LISA test, West Bandung Regency was obtained as a significant area of autocorrelation. While in terms of LISA map visualization, Tasikmalaya, Sukabumi, and West Bandung regencies have a significant effect on the occurrence of spatial patterns. There is a difference in the number of variables that have a significant effect on the calculation in hypothesis testing and GEODA visualization. This indicates that there are variations in spatial patterns between these variables, such as some variables that can form significant groups while others do not.
Co-Authors AJENG FITRAH SANI Gusti Ayu Ariska Citra Dewi Ketut Queena Fredlina Luh Gde Trishia Damayanti Made Harisa Yukesani Ni Kadek Feni Darmayanti Ni Ketut Tari Tastrawati Ni Luh Putu Suciptawati Ni Luh Suciptawati Ni Putu Ananda Puspita Sari Ni Wayan Liana Sukmawati Tjokorda Bagus Oka