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All Journal JUSTIN (Jurnal Sistem dan Teknologi Informasi) Prosiding Seminar Nasional Official Statistics
Singrapati, Lalu Riza
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Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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Pengelompokkan Toko Kaus Termurah E-Commerce Shopee berdasarkan Reputasi Toko Menggunakan Metode Clustering K-Medoids dan K-Means Singrapati, Lalu Riza; Dora, Rika; Kurniawan, Robert
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 12, No 1 (2024)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v12i1.69067

Abstract

Kaus merupakan salah satu jenis pakaian yang paling diminati saat ini. Terutama setelah hadirnya toko e-commerce yang memudahkan pembeli untuk bertransaksi dengan cepat tanpa harus pergi ke tokonya secara langsung. Banyak toko online yang menawarkan kaus dengan harga yang terjangkau. Namun, pembeli harus selektif dalam melakukan transaksi jual beli melalui e-commerce karena banyaknya risiko yang bisa timbul. Untuk mengatasi hal tersebut, salah satu hal yang dapat dilakukan yaitu mengelompokkan toko pada platform e-commerce Shopee berdasarkan reputasi menggunakan metode K-Means dan K-Medoids. Penelitian ini menggunakan data dari tiga ratus akun toko kaus dengan harga termurah di Shopee. Tahapan dalam penelitian ini meliputi pengumpulan data, preprocessing data, penentuan jumlah cluster optimum, analisis cluster menggunakan K-Means dan K-Medoids, evaluasi model, interpretasi output, dan penarikan Kesimpulan. Berdasarkan hasil evaluasi, diperoleh metode terbaik ialah K-Means dengan k optimum sebanyak tiga cluster. Kemudian, cluster yang direkomendasikan kepada customer ialah cluster pertama.
Determinan Prevalensi Stunting di Nusa Tenggara Tahun 2023 Singrapati, Lalu Riza; Astuti, Erni Tri
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2077

Abstract

Indonesia is one of the countries still facing high prevalence rates of stunting. The Nusa Tenggara Archipelago significantly contributes to the high prevalence of stunting in Indonesia, with rates far above the national average. The factors causing the high prevalence of stunting in the Nusa Tenggara Archipelago need to be identified, considering the spatial aspects, as this region consists of many islands with diverse topographies and geographical characteristics. This study aims to identify the factors influencing the prevalence of stunting in the Nusa Tenggara Archipelago, taking into account the spatial aspects. The analysis method used is spatial regression analysis using the Spatial Error Model (SEM). The results of this study reveal that there is a spatial effect on the prevalence of stunting among children in the Nusa Tenggara Archipelago, indicated by a Global Moran’s I value of 0.420. The districts/cities with the highest stunting categories are mostly located in East Nusa Tenggara Province, with a rate of 50 percent, while in West Nusa Tenggara Province it is only 3.13 percent. Variables affecting stunting prevalence include the percentage of infants receiving early initiation of breastfeeding, the percentage of infants receiving exclusive breastfeeding, the percentage of children under five with a Child Health Book, average years of schooling for women, per capita expenditure, the percentage of households not using electricity, the prevalence of food insecurity, and the average fish consumption per capita per week. Based on the study results, government intervention is urgently needed to address the issue of stunting in the Nusa Tenggara Archipelago.
Co-Authors Astuti, Erni Tri Dora, Rika Robert Kurniawan, Robert