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All Journal Sinergi dan Harmoni Masyarakat MIPA IJASDS: Indonesian Journal of Applied Statistics and Data Science
Syifa Salsabila Satya Graha
Program Studi Matematika, Universitas Mataram
Humanities Economics, Econometrics & Finance Education Environmental Science Mathematics Public Health Social Sciences

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Implementasi Modul Olimpiade SMP Di SMPN 2 Kuripan Lombok Barat Lalu Riski Wirendra Putra; Rendi Bahtiar Pratama; Gusti Yogananda Karang; Irwansyah Irwansyah; I Gede Adhitya Wisnu Wardhana; Mamika Ujianita Romdhini; Abdurahim Abdurahim; Fariz Maulana; Rio Satriyantara; Zata Yumni Awanis; Syaftirridho Putri; Syifa Salsabila Satya Graha; Fathul Maulina Wahidah; Lia Fitta Pratiwi; Satriawan Pradana; Ayes Malona Siboro; Farwan Farwan
Sinergi dan Harmoni Masyarakat MIPA Vol. 1 No. 1 (2024): Oktober
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/sinonim.v1i1.12-16

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengimpelementasikan modul pembelajaran olimpiade matematika bagi siswa SMPN 2 Kuripan. Kebutuhan akan modul ini didasarkan pada rendahnya akses siswa terhadap materi-materi persiapan olimpiade yang terstruktur dan sesuai dengan kemampuan serta kebutuhan mereka. Metode yang digunakan dalam pengembangan modul ini meliputi analisis kebutuhan, desain dan pengembangan modul, serta uji coba. Modul ini dirancang untuk mencakup berbagai topik matematika yang sering muncul dalam olimpiade, disertai dengan contoh soal dan pembahasan yang mendalam. Hasil dari kegiatan ini menunjukkan bahwa penggunaan modul olimpiade matematika ini dapat meningkatkan pemahaman siswa terhadap materi olimpiade, serta memotivasi mereka untuk lebih aktif dalam mengikuti kompetisi. Evaluasi melalui uji coba menunjukkan respon positif dari siswa, dengan peningkatan signifikan pada hasil latihan soal.
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.
Co-Authors Abdurahim, Abdurahim Ayes Malona Siboro Dzaki Ade Alfarez Fariz Maulana Farwan Farwan Fathul Maulina Wahidah Gusti Yogananda Karang I Gede Adhitya Wisnu Wardhana Irwansyah Irwansyah Lalu Riski Wirendra Putra Lia Fitta Pratiwi Lisa Harsyiah Mamika Ujianita Romdhini Muhammad Yuzaul Auladi Rendi Bahtiar Pratama Rio Satriyantara Sabna Zulfaa Sabina Satriawan Pradana Syaftirridho Putri Zata Yumni Awanis