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All Journal Edulib JATI (Jurnal Mahasiswa Teknik Informatika) CIVITAS (JURNAL PEMBELAJARAN DAN ILMU CIVIC) Instal : Jurnal Komputer AMMA : Jurnal Pengabdian Masyarakat Jurnal Informatika Polinema (JIP) Jurnal Kecerdasan Buatan dan Teknologi Informasi
Pratama, Denni
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Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Nursing Social Sciences

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Analisis Uji Beda Metode Pembelajaran Berbasis Masalah Menggunakan Media "Pohon Kebhinekaan" Terhadap Prestasi Belajar Siswa SMAN 1 Kademangan Pratama, Denni; Baihaqi, M. Iqbal; Triantoro, Miranu
CIVITAS (JURNAL PEMBELAJARAN DAN ILMU CIVIC) Vol 11, No 2 (2025)
Publisher : LPPM Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/civitas.v11i2.7868

Abstract

This study aims to analyse the differences in learning achievement between students taught using the problem-based learning (PBL) method with the ‘Tree of Diversity’ media and students taught using conventional methods in Pancasila Education at SMAN 1 Kademangan. This study uses a quantitative approach with a pretest-posttest control group quasi-experimental design. The research subjects consisted of two 10th-grade classes: an experimental class that received the PBL method treatment using the ‘Tree of Diversity’ media and a control class that used the conventional method. Data were collected through tests (pretest and posttest) and questionnaires to assess student responses. For the analysis, the T-test technique was used. The results of the study showed that there was a significant difference in learning achievement between the two groups, where students taught using the PBL method with the ‘Tree of Diversity’ media had a higher increase in learning achievement.  This can be seen from the learning achievement difference test result of -28.970, which is significantly lower than the t-table value of 1.693. This means that the use of the PBL method with the ‘Tree of Diversity’ media is more effective in supporting students' learning achievements at the high school level. Additionally, students' responses to the use of the method and media were very positive. This can be seen from the students' answers, which reached 44.24 out of a maximum score of 50. Thus, the results of this study also show that the use of learning media based on diversity values in the PBL method can improve the effectiveness of learning and students' understanding of Pancasila values
Implementasi Algoritma CNN dalam Sistem Absensi Berbasis Pengenalan Wajah Aldiani, Dea; Dwilestari, Gifthera; Susana, Heliyanti; Hamonangan, Ryan; Pratama, Denni
Jurnal Informatika Polinema Vol. 10 No. 2 (2024): Vol 10 No 2 (2024)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v10i2.4852

Abstract

Pengembangan teknologi pengenalan wajah telah menjadi peluang untuk meningkatkan efisiensi sistem absensi. Penelitian ini bertujuan untuk mengimplementasikan algoritma Convolutional Neural Network (CNN) dalam sistem absensi berbasis pengenalan wajah. Keunggulan CNN dalam mengekstraksi fitur kompleks dari gambar menjadikannya pilihan yang potensial untuk meningkatkan akurasi pengenalan wajah dalam pengelolaan absensi. Penelitian ini menggunakan kumpulan dataset wajah yang beragam, mencakup variasi sudut pandang, ekspresi, dan kondisi pencahayaan. Data yang digunakan terdiri dari 20 kelas yang masing-masing memiliki 500 data wajah. Penerapan model CNN dimulai dengan perancangan arsitektur CNN sederhana dengan menambahkan lapisan konvolusi, pooling dan fully connected. Model CNN kemudian dilatih menggunakan data latih sebesar 85% dari keseluruhan data. Setelah model dilatih, selanjutnya dilakukan evaluasi model CNN melalui beberapa metrik evaluasi. Dari hasil evaluasi diperoleh tingkat akurasi yang baik sebesar 91%. Setelah memperoleh model CNN untuk pengenalan wajah, model CNN diimplementasikan dalam sistem absensi. Berdasarkan hasil implementasi algoritma CNN terhadap sistem absensi diperoleh proses absensi yang akurat dan efisien sehingga dapat mengatasi kecurangan dan manipulasi data serta meningkatkan efisiensi dalam manajemen kehadiran di berbagai lingkungan.
Co-Authors Ade Rizki Rinaldi Adianto, Luthfi Ahmad Faqih Aldiani, Dea Amida, Anggi Fitria Andriyanti, Rina Ardhani, Risma Azhar Azhar Baihaqi, M. Iqbal Bambang Siswoyo Bayu Saputra Christina Juliane, Christina Dadang Sudrajat Dikananda, Fatihanursari Dwi Kusuma, Lukman Fatihanursari, Fatihanursari Faturrohman, Faturrohman Gifthera Dwilestari Hamonangan, Ryan Hermawan, Sari Hery Widijanto Hoerunnisa, Anis Iffah Adella, Luthfiyyah Irfan Ali, Irfan Kaslani Maulana, Arman Mubarok, Fatkhan Muhamad Basysyar , Fadhil Ningrum, Cistia Nurhakim, Bani Permana, Sandy Eka Puri, Anita Rifa’I, Ahmad Rinaldi Dikananda, Arif Rizki Rinaldi , Ade Rohmat, Cep Lukman Saeful Anwar, Saeful Sagita, Ayu Sazwati, Anggi Septiani, Intan Siti Nurhasanah Solihudin, Dodi Suarna, Nana Sunana, Heliyanti Susana, Heliyanti Talia, Agita Hany Tohidi, Edi Triantoro, Miranu Veithzal Rivai Zainal Vibrianti, Vera Wahyudin, Edi Yudhistira Arie Wijaya Zamil Farhan, Muhammad Zapar, Rizky