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All Journal PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Enigma in Education
Fahri Akbar
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Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Other

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The Use of Clustering Model to Improve Poetry Writing Skills of SMP Negeri 4 Watampone, Bone Regency, Indonesia Safar, Muh.; Andi Srimularahamah; Arif Rahman Aulia Jamnawi; Fahri Akbar
Enigma in Education Vol. 1 No. 2 (2023): Enigma in Education
Publisher : Enigma Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61996/edu.v1i2.22

Abstract

This research aims to describe the improvement of writing skills of students in class VIII B SMP Negeri 4 Watampone, Bone Regency through the use of clustering model. This research was conducted by pre-observation in class VIII B. The writing skills of students of class VIII B SMP Negeri 4 Watampone are still low or lacking. The targets to be given action are students of class VIII B SMP Negeri 4 Watampone in 2022/2023 academic year. This research is classroom action research. The research procedure was carried out in 2 (two) cycles and each cycle had 3 meetings. Each cycle consists of four stages, namely: planning, action implementation, observation, and reflection. The techniques of data collection in this classroom action research are observation, documents, student assignments and tests. The data analysis was conducted using qualitative and quantitative techniques. The criteria for success of classroom action is the test of writing poetry using the clustering model. The use of clustering models in learning to write poetry can improve the quality of the process and students’ learning outcomes. It shows that there is an improvement in the completeness of the ability to write poetry from pre-cycle as many as 12 or 36.4%, cycle 1 as many as 21 or 63.6% and cycle 2 as many as 33 or 100%. Based on the improvement in student learning completeness in each cycle, the use of the clustering model needs to be applied to the learning of writing poetry of students in class VIII B SMP Negeri 4 Watampone, Bone Regency.
PENGEMBANGAN PROTOTYPE SISTEM PEMBAGIAN BANTUAN BERAS BERBASIS IOT MENGGUNAKAN E-KTP DAN SIDIK JARI Fahri Akbar; Ari Usman
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 13 No. 1 (2026): Prosisko Vol. 13 No. 1 Maret 2026
Publisher : Pogram Studi Sistem Komputer Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/435x8k53

Abstract

Penelitian ini mengembangkan prototype sistem distribusi bantuan beras berbasis Internet of Things (IoT) yang menggabungkan autentikasi berlapis e-KTP (RFID), sidik jari, dan PIN untuk memastikan ketepatan sasaran dan mencegah penyalahgunaan identitas pada proses penyaluran bantuan sosial. Sistem terdiri dari ESP32, RFID reader untuk e-KTP, sensor sidik jari, keypad, LCD I2C, servo untuk aktuasi katup, serta sensor load cell dengan modul HX711 untuk kontrol takaran, terintegrasi dengan aplikasi web PHP-MySQL untuk registrasi, perhitungan kelayakan, dan pencatatan transaksi secara real-time. Kelayakan penerima ditentukan menggunakan metode Simple Additive Weighting (SAW) berdasarkan kriteria pendapatan, pekerjaan, jumlah tanggungan, dan status kepemilikan rumah, yang menghasilkan golongan dan kuota bantuan otomatis; uji pada 15 responden menunjukkan sistem berjalan akurat dalam verifikasi berlapis dan pengeluaran beras sesuai kuota.
Co-Authors Andi Srimularahamah Ari Usman Arif Rahman Aulia Jamnawi Muh. Safar, Muh.