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All Journal Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI)
Ginting, Sujatmiko
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering

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Analisis Minat Siswa Kelas 1 SMK Pada Ekstrakulikuler Sepak Bola Dengan Metode Technology Acceptance Model Hasanuddin, Muhammad; Susanto, Bayu Eka; Ginting, Sujatmiko; Rizaldi, Fakhri
Jurnal Komputer Teknologi Informasi Sistem Informasi (JUKTISI) Vol. 4 No. 1 (2025): Juni 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i1.344

Abstract

Penelitian ini bertujuan untuk mengetahui tingkat minat siswa kelas 1 SMK Putra Jaya Stabat terhadap kegiatan ekstrakurikuler sepak bola, serta menganalisis faktor-faktor yang memengaruhinya. Untuk memperdalam pemahaman terhadap penerimaan siswa terhadap sistem informasi yang mendukung kegiatan ekstrakurikuler, penelitian ini menggunakan pendekatan Technology Acceptance Model (TAM). Model ini digunakan untuk mengukur pengaruh Perceived Usefulness dan Perceived Ease of Use terhadap minat dan perilaku siswa dalam mengikuti serta memanfaatkan sistem informasi pendukung ekstrakurikuler, seperti jadwal digital, absensi daring, atau komunikasi tim secara online. Sampel penelitian berjumlah 74 siswa, ditentukan melalui rumus Slovin dari total populasi 280 siswa. Data dikumpulkan melalui angket skala Likert dan dianalisis secara kuantitatif deskriptif. Hasil penelitian menunjukkan bahwa sebagian besar siswa menunjukkan minat tinggi terhadap ekstrakurikuler sepak bola, serta bersikap positif terhadap penggunaan sistem informasi pendukung. Faktor internal seperti motivasi pribadi dan hobi, serta faktor eksternal seperti kemudahan penggunaan sistem dan dukungan sosial, berkontribusi terhadap tingginya minat tersebut. Temuan ini dapat menjadi acuan bagi sekolah dalam mengembangkan sistem informasi ekstrakurikuler yang efektif dan sesuai dengan kebutuhan siswa.
Penerapan Algoritma Decision Tree (C4.5) dalam Menentukan Kelayakan Penerima Bantuan Sosial Susanto, Bayu Eka; Putra, Andisyah; Ridwan; Ginting, Sujatmiko; Amin, Muhammad
Jurnal Komputer Teknologi Informasi Sistem Informasi (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.793

Abstract

The accurate targeting of social assistance recipients is a critical challenge in public policy implementation, particularly in efforts to reduce poverty and social inequality. This study aims to apply the Decision Tree C4.5 algorithm to determine the eligibility of social assistance beneficiaries based on socio-economic data. The research employs a quantitative approach using data mining techniques, where data preprocessing, model construction, and performance evaluation are conducted systematically. The C4.5 algorithm is selected due to its ability to handle numerical and categorical data and to produce interpretable decision rules. The results indicate that the proposed model achieves a high classification performance, with income level emerging as the most influential attribute, followed by household dependents and housing conditions. The generated decision tree provides clear and transparent rules that facilitate understanding of eligibility determination. These findings demonstrate that the C4.5 algorithm is effective not only in terms of accuracy but also in supporting explainable decision-making processes. The study concludes that integrating Decision Tree C4.5 into social assistance management can enhance objectivity, transparency, and policy effectiveness. This research contributes to the development of data-driven decision support systems in the public sector and offers practical insights for improving the accuracy of social assistance distribution.
Co-Authors Muhammad Amin Muhammad Hasanuddin, Muhammad Putra, Andisyah Ridwan Rizaldi, Fakhri Susanto, Bayu Eka