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All Journal IJASDS: Indonesian Journal of Applied Statistics and Data Science
Lisa Harsyiah
Program Studi Statistika, Universitas Mataram
Economics, Econometrics & Finance Environmental Science Mathematics Public Health Social Sciences

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Pengklasifikasian 10 Kabupaten/Kota di Provinsi Nusa Tenggara Barat untuk Kasus Kemiskinan Tahun 2022 Menggunakan Analisis Cluster Metode K-Means Sabna Zulfaa Sabina; Dzaki Ade Alfarez; Syifa Salsabila Satya Graha; Muhammad Yuzaul Auladi; Lisa Harsyiah
Indonesian Journal of Applied Statistics and Data Science Vol. 1 No. 1 (2024): November
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v1i1.5415

Abstract

Poverty is a very serious problem for countries in the world, especially for developing countries like Indonesia. Poverty will have a big impact if it occurs in the long term with different factors. One province that is still in the spotlight for high levels of poverty is West Nusa Tenggara Province. Even though the number of poor people in West Nusa Tenggara Province has decreased, conditions of the ground show that there are still many people whose lives are far from decent. Therefore, the government must immediately find a solution to overcome the problem of poverty. To overcome cases of poverty in a region, we can group the characteristics of these regions based on poverty indicators into several clusters. Grouping in this case is carried out with data that will be analyzed using the K-Means cluster analysis method. So the results obtained by analysis using the K-Means cluster method for grouping 10 regencies/cities in West Nusa Tenggara Province based on poverty in 2022 formed 3 clusters, namely cluster 1 consisting of West Sumbawa Regency, Bima City and Mataram City, cluster 2 consisting of Bima Regency, Dompu Regency, West Lombok Regency, Central Lombok Regency, East Lombok Regency, and Sumbawa Regency, and cluster 3 consists of North Lombok Regency. Apart from that, the characteristics of each cluster were also obtained, namely cluster 1 containing the districts/cities with the highest PPM values. While RLS, AHH, and TPT have very high numbers in 2022, cluster 2 contains districts/cities that have quite low PPM, RLS, AHH, and TPT numbers in 2022, and cluster 3 contains a group of districts/cities with RLS, AHH, and TPT has quite low numbers compared to the high PPM in 2022.
Model Peramalan Air Quality Index (AQI) di Kota Jakarta Menggunakan Metode Rantai Markov Diskrit Muhammad Syahrul; Lisa Harsyiah; Dina Eka Putri
Indonesian Journal of Applied Statistics and Data Science Vol. 3 No. 1 (2026): May
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v3i1.10215

Abstract

Polusi udara adalah kondisi ketika udara di atmosfer tercemar oleh zat beracun, baik berupa bahan kimia, fisik, maupun biologis, yang dapat mengubah karakteristik alami atmosfer. Polusi udara merupakan masalah lingkungan yang mendesak di seluruh dunia, khususnya di Indonesia, salah satunya di Kota Jakarta. Pemerintah Provinsi DKI Jakarta telah mengeluarkan Keputusan Gubernur Nomor 593 Tahun 2023 tentang Satuan Tugas Pengendalian Pencemaran Udara, pada lampiran bagian B, angka 4. Sebagai langkah antisipatif untuk mengetahui hasil dari upaya pencegahan dalam Keputusan Gubernur tersebut, dilakukan peramalan kualitas udara di Kota Jakarta menggunakan metode rantai Markov. Indeks Kualitas Udara (Air Quality Index/AQI) digunakan sebagai indeks dalam peramalan kualitas udara. Berdasarkan metode yang digunakan, diperoleh kondisi keadaan tunak (steady state) mulai tanggal 30 Maret 2024 hingga hari-hari berikutnya, dengan peluang terbesar kualitas udara di Kota Jakarta berada pada rentang 76 hingga 89 AQI sebesar 20,14%, di mana kualitas udara tersebut termasuk dalam kategori sedang. Hal ini menunjukkan bahwa kualitas udara di masa mendatang cenderung stabil pada kategori tersebut, sehingga diperlukan upaya berkelanjutan untuk menekan potensi peningkatan pencemaran udara.
Co-Authors Dina Eka Putri Dzaki Ade Alfarez Muhammad Syahrul Muhammad Yuzaul Auladi Sabna Zulfaa Sabina Syifa Salsabila Satya Graha