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All Journal VARIANSI: Journal of Statistics and Its Application on Teaching and Research Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M)
Zakiyah Mar'ah
Universitas Negeri Makassar
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science Mathematics Social Sciences Other

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Clustering Biplot on Tourist Visits in Indonesia Isma Muthahharah; Zakiyah Mar'ah
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 3 No 1 (2024): March 2024
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v3i1.3890

Abstract

This research aims to find out whether or not many tourists visited Indonesia after Covid-19 by clustering. This will generate foreign exchange earnings and contribute directly to the country's economic growth. The analytical method used in this research is K-Medoids. K-Medoids is a partition clustering technique that groups a collection of n objects into k clusters by utilizing the objects in the collection of objects to represent a cluster called a medoid. The data in this research used secondary data related to foreign tourist visits to Indonesia from several publication sources in 2017-2021. The results of this research show that there were 3 clusters obtained: Cluster 1 shows the number of tourist visits visiting Indonesia in 2017, 2018 and early 2019 because the Covid-19 pandemic has not yet occurred, Cluster 2 shows that there were no tourist visits in 2020 due to the start of the Covid-19 pandemic, and Cluster 3 indicates low tourist arrivals in 2021 due to the Covid 19 pandemic which temporarily prohibited foreign tourists from visiting Indonesia.
Pendampingan Belajar Matematika dan Bahasa Inggris Gratis untuk Meningkatkan Literasi dan Numerasi Anak-anak Marginal di Kelurahan Pannampu Kota Makassar : Pendampingan Belajar Matematika dan Bahasa Inggris Gratis untuk Meningkatkan Literasi dan Numerasi Anak-anak Marginal di Kelurahan Pannampu Kota Makassar SITTI MASYITAH MELIYANA R; Hardianti Hafid; Sitti Nailah Rustam; Zakiyah Mar'ah; Isma Muthahharah
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 3 No. 1 (2024): Volume 03 Nomor 01 (April 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jhp2m.v3i1.2248

Abstract

Bagian yang perlu ditingkatkan dari anak-anak marginal dari sisi akademik adalah kemampuan berhitung dan berbicara dalam Bahasa Inggris. Tim pengabdi mengajar secara rutin di Rumah Baca Kampung Bersih Nusantara setiap seminggu sekali, tepatnya di hari sabtu, untuk meningkatkan kemampuan berhitung dan Bahasa Inggris anak-anak tersebut. Pelatihan yang berkelanjutan sangat diperlukan untuk memberikan efek yang mendalam bagi peningkatan kemampuan tersebut. Pengajaran dilakukan oleh tim pengabdi yang memiliki background Pendidikan baik dari latar belakang keilmuan matematika maupun Bahasa Inggris. Pelatihan sudah memberikan hasil peningkatan yang signifikan karena program ini sejatinya sudah berlangsung selama beberapa bulan. Motivasi belajar matematika dan Bahasa Inggris para siswa juga menjadi lebih besar yang terbukti dari besarnya antusiasme mereka dalam mempraktekkan apa yang diinstruksikan oleh pengajar. Berdasarkan temuan tersebut dapat disimpulkan bahwa pelaksanaan pengabdian ini sudah efektif. Selain itu, pengetahuan para anak-anak terhadap materi yang telah disampaikan lebih meningkat.
PEMODELAN MULTIVARIATE ADAPTIVE REGRESSION SPLINE (MARS) PADA INDEKS HARGA SAHAM GABUNGAN (IHSG) TAHUN 2018 – 2023 Zakiyah Mar'ah; Ruliana Ruliana; Magfirah Septiana
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 6 No. 01 (2024)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm144

Abstract

Nonparametric regression is one of the methods used to estimate the pattern of the relationship between response variables and predictor variables where the shape of the regression curve is unknown and is generally assumed to be contained in an infinite dimensional function space and is a smooth function (Eubank, 1999). The MARS method is one method that uses a nonparametric regression approach and high-dimensional data. These namely data has a number of predictor variables of 3 ≤ k ≤ 20 and data samples of size 50 ≤ n ≤ 1000. This research discusses Multivariate Adaptive Regression Spline (MARS) Modeling on the Composite Stock Price Index (JCI) 2018 - 2023. MARS modeling is obtained from a combination of basis function (BF), maximum interaction (MI), and minimum observation (MO) based on the minimum Generalized Cross Validation (GCV) value. The results of this study were obtained from the combination value of BF = 16, MI = 1, and MO = 2 with GCV = 60710.98. The factors that affect the Jakarta Composite Index (JCI) are Inflation (X1), Rupiah to USD Exchange Rate (X3), and Money Supply (X4).
Co-Authors Hardianti Hafid Isma Muthahharah Magfirah Septiana Ruliana Sitti Masyitah Meliyana R. Sitti Nailah Rustam