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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar INFOKUM
Rahmi Aulia Barlian
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Computer Science & IT Other

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Influence of Demographics for Prediction of Election Participation Using Logistic Regression Algorithm Rahmi Aulia Barlian; Arif Senja Fitrani; Metatia Intan Mauliana
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (325.926 KB)

Abstract

Indonesia is a democratic country for General Elections (Election) which are carried out directly, freely, confidentially, honestly, and fairly. Several stages of the election, among others, begin with compiling a permanent voter list (DPT), determination of polling stations (TPS), and recapitulating election results. Various factors, including the demographic factor, can affect citizen participation in the general election. Demographic data covers Energy, Geographic, Education, Health, Population, Economy, Communication, and Transportation factors. This study tries to combine election data with demographic data taken from the official website of the Central Statistics Agency (BPS) of Mojokerto Regency and data on the results of the 2019 Election calculations taken from the official website of the General Election Commission (KPU) of Mojokerto Regency. Preprocessing steps are data cleaning, data integration, and correlation attributes for a more optimal presentation of the dataset and the distribution of four split datasets (training data and testing data) to find the best results. Implementation of classification method with Logistic Regression (LR) algorithm to predict community participation at the TPS level. From the test results of four split datasets, the highest predictive value was 64.80% in composition 3 with a ratio of 80:20, where 127 data were labeled low, and 291 data were labeled high.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS WEB MENGGUNAKAN PENDEKATAN PROBLEM BASED LEARNING (PBL) PADA MATA PELAJARAN INFORMATIKA UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA KELAS X SMK MUHAMMADIYAH 1 SURABAYA Rahmi Aulia Barlian; Regita Rahma Izazi; Salsabela Titis Tonanda; Salma An Nafiah; Ramadhan Kurniawan; Rayhan Fathoni Andi Rafif; Tri Rijanto; Yazid
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 02 (2025): Volume 10 No. 02 Juni 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i02.24691

Abstract

Perkembangan teknologi informasi dan komunikasi telah memberikan dampak besar dalam dunia pendidikan, khususnya melalui integrasi media pembelajaran berbasis web. Namun, pembelajaran Informatika di SMK masih menghadapi tantangan, terutama dalam meningkatkan motivasi dan pemahaman siswa terhadap materi algoritma dan pemrograman secara mandiri. Penelitian ini bertujuan mengembangkan media pembelajaran interaktif berbasis web dengan pendekatan Problem-Based Learning (PBL). Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model pengembangan 4D (Define, Design, Develop, Disseminate). Teknik pengumpulan data dilakukan melalui observasi, validasi ahli, dan angket siswa. Hasil validasi oleh ahli materi dan media menunjukkan tingkat kelayakan sangat tinggi dengan persentase 94,79%. Uji coba pada 45 siswa menunjukkan tingkat kelayakan sebesar 84,65%. Selain itu, terjadi peningkatan motivasi belajar siswa sebesar 9,61% setelah menggunakan media yang dikembangkan. Penelitian ini menunjukkan bahwa media pembelajaran berbasis web dengan pendekatan PBL dinyatakan valid dan efektif dalam meningkatkan motivasi serta keterlibatan siswa dalam proses pembelajaran.
Co-Authors Arif Senja Fitrani Mauliana, Metatia Intan Ramadhan Kurniawan Rayhan Fathoni Andi Rafif Regita Rahma Izazi Salma An Nafiah Salsabela Titis Tonanda Tri Rijanto Yazid