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All Journal Jurnal Leverage, Engagement, Empowerment of Community (LeECOM) Jurnal Indonesia Sosial Teknologi
Zullah, Vies Sata
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Humanities Computer Science & IT Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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PEMODELAN LITERASI MEMBACA SISWA DI DAERAH TERPENCIL MENGGUNAKAN REGRESI LOGISTIK BINER Wulandari, Sri Pingit; Wildani, Zakiatul; Prastuti, Mike; Aridinanti, Lucia; Retnaningsih, Sri Mumpuni; Ratih, Iis Dewi; Kustantin, Sukriyah; Zullah, Vies Sata; Kurniasari, Septiana Vera; Pradana, Aditya
Jurnal Leverage, Engagement, Empowerment of Community (LeECOM) Vol. 3 No. 1 (2021): Jurnal Leverage, Engagement, Empowerment of Community (LeECOM)
Publisher : Universitas Ciputra Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37715/leecom.v3i1.1887

Abstract

Peningkatan kualitas pendidikan memiliki peran penting dalam mempercepat tujuan pembangunan berkelanjutan atau yang lebih dikenal dengan Sustainable Development Programs (SDGs) tidak hanya di Indonesia tetapi juga di setiap negara di dunia. Namun, kualitas pendidikan di Indonesia masih di bawah negara tetangga seperti Malaysia atau Thailand yang ditunjukkan dengan angka melek huruf yang masih rendah. Hal ini terjadi disebabkan oleh banyak faktor, seperti kondisi psikologis atau lingkungan keluarga. Apalagi keterbatasan akses, fasilitas, dan sumber daya manusia di beberapa daerah terpencil di Indonesia juga mempengaruhi hal tersebut. Tujuan utama dari penelitian ini adalah untuk menganalisis faktor-faktor apa saja yang signifikan mempengaruhi literasi membaca siswa SDN kelas 1 di Kecamatan Nonggunong, Pulau Sapudi, Kabupaten Sumenep. Hasil dari kegiatan ini diharapkan dapat menjadi tolak ukur dalam penyelenggaraan dan evaluasi isu pendidikan khusunya didaerah terpencil demi tercapainya tujuan SDGs di masa depan. Adapun metode yang digunakan adalah regresi logistik biner. Hasil penelitian menunjukkan tiga faktor berpengaruh signifikan terhadap skor literasi siswa yaitu usia, jenis kelamin, serta tingkat kesukaan membaca siswa dengan persentase ketelitian klasifikasi model sebesar 81,8%.
Cluster Analysis and Forecasting on Local Shoe Products: Case study for Ventela in Indonesia Zullah, Vies Sata; Mohamad Atok, Raden
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 9 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i9.1210

Abstract

Shoes are a secondary need that is in demand by all age groups. Each shoe brand has many models, which means a store must provide complete stock to meet consumer needs. The available models have different purchasing power or demand, which creates difficulties for stores in determining shoe products that are often sold and shoe products that are not in demand by customers. The data used in cluster formation includes three variables recorded and collected from e-commerce transactions, namely Number of Visitors, Number of Buyers, and Total Sales. Based on these variables, Ventela shoe models are grouped into three clusters, namely low-selling, normal and best-selling. Next, the variable number of transactions for Ventela shoe models in the best-selling cluster is taken to be predicted using the Exponential Smoothing method. The forecasts obtained are used to determine future demand to maximize profits. Based on the results of the clustering analysis, it was found that the number of shoe models included in the best-selling cluster was six, including (1) Ventela Ethnic Low All Black, (2) Ventela Ethnic Low Black Natural, (3) Ventela Public Low Black Natural, (4) Ventela Public Low Cream, (5) Ventela Republic Low Black Natural, and (6) Ventela Republic Low White. Referring to the sample of this study, which only spanned less than three years, several shoe models produced a forecast value of zero. It means, based on the forecast results for the next 12 months, there may be no sales.
Co-Authors Aditya Pradana, Aditya Kurniasari, Septiana Vera Kustantin, Sukriyah Lucia Aridinanti Mohamad Atok, Raden Prastuti, Mike Ratih, Iis Dewi Sri Mumpuni Retnaningsih Sri Pingit Wulandari Wildani, Zakiatul