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All Journal KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jiko (Jurnal Informatika dan komputer) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Buana Ilmu JISA (Jurnal Informatika dan Sains) Jumat Informatika: Jurnal Pengabdian Masyarakat Jurnal Sisfotek Global Scientific Student Journal for Information, Technology and Science Jurnal Buana Pengabdian INTERNAL (Information System Journal) JADI (Jurnal Teknik Industri)
Adi Rizky Pratama
Universitas Buana Perjuangan Karawang
Religion Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Other

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Implementasi Model Convolutional Neural Network pada Voice Emotion Recognition untuk Evaluasi Respons Pelanggan Rai Tilosava De Araujo; Adi Rizky Pratama; Elsa Elvira Awal; Tatang Rohana
Scientific Student Journal for Information, Technology and Science Vol. 7 No. 2 (2026): Scientific Student Journal for Information, Technology and Science
Publisher : Scientific Student Journal for Information, Technology and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk mengimplementasikan model Voice Emotion Recognition berbasis Convolutional Neural Network (CNN) guna mengevaluasi respons pelanggan melalui analisis emosi suara berbahasa Indonesia. Dataset yang digunakan adalah IndoWaveSentiment, yang terdiri atas 300 rekaman audio dengan lima kategori emosi, yaitu angry, happy, sad, surprised, dan neutral. Tahapan penelitian meliputi data preprocessing yang mencakup konversi menjadi audio mono, normalisasi, trimming, dan padding, dilanjutkan dengan augmentasi data serta ekstraksi fitur menggunakan Mel-Frequency Cepstral Coefficients (MFCC). Model Convolutional Neural Network kemudian dilatih menggunakan optimizer Adam dengan learning rate sebesar 0,001 selama 100 epoch. Hasil evaluasi menunjukkan bahwa model memperoleh akurasi sebesar 84%, dengan nilai rata-rata precision, recall, dan F1-score sebesar 0,84. Kinerja terbaik ditunjukkan pada kelas neutral dan sad, sedangkan beberapa kesalahan klasifikasi masih terjadi pada kelas angry dan happy. Secara keseluruhan, penelitian ini menunjukkan bahwa pendekatan Convolutional Neural Network efektif dalam mengenali emosi pelanggan melalui sinyal suara serta berpotensi mendukung pengembangan sistem layanan pelanggan yang lebih adaptif dan responsif terhadap kondisi emosional pengguna.
OPTIMASI PEMBELAJARAN DIGITAL: PENGEMBANGAN APLIKASI ELEARNING BERBASIS WEB UNTUK PENINGKATAN KUALITAS EDUKASI Adi Rizky Pratama; Ayu Ratna juwita; Tohirin Al Mudzakir; Cici Emilia Sukmawati; Teguh Budianto
JURNAL BUANA PENGABDIAN Vol. 8 No. 1 (2026): JURNAL BUANA PENGABDIAN
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/6v6ve850

Abstract

Pengembangan aplikasi e-learning berbasis web, dilaksanakan bersama Buana Online Course UBP Karawang, dengan tujuan meningkatkan kualitas edukasi. Kegiatan ini diadakan secara online pada bulan September, menjangkau hingga 2000 peserta. Fokus utama adalah pada pengembangan konten interaktif dan metode pembelajaran yang melibatkan diskusi kelompok dan webinar. Hasil kegiatan menunjukkan peningkatan pemahaman peserta terhadap sistem pembelajaran online dan pemanfaatan modul e-learning. Inisiatif ini juga berdampak positif terhadap peningkatan kapasitas institusi dan pengembangan keterampilan dosen dalam merancang materi pembelajaran online yang efektif.
Pelatihan Literasi Digital bagi Tenaga Kerja Perkebunan untuk Mendukung Transformasi Industri 4.0. Cici Emilia Sukmawati; Ayu Ratna Juwita; Adi Rizky Pratama; Elsa Elvira Awal
Jumat Informatika: Jurnal Pengabdian Masyarakat Vol. 7 No. 2 (2026): Agustus
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/p4f3sq50

Abstract

Digital transformation in the Industry 4.0 era has encouraged various industrial sectors, including the plantation sector, to improve human resource competency in utilizing digital technology. However, the level of digital literacy among plantation workers remains relatively limited, hampering the optimization of technology utilization in administrative and reporting activities. This community service activity aims to improve the digital literacy of workers at PTPN Cisaruni Garut through practice-based training. The methods used include needs identification, training module design, training implementation and hands-on practice, as well as evaluation and mentoring. The activity was evaluated using pre- and post-tests to measure participants' understanding, and practical assessments to assess digital technology usage skills. This activity was attended by 25 participants, who are plantation workers. The evaluation results showed that the average pre-test score of 58.40 increased to 81.75 in the post-test, with an N-gain value of 0.56, which is included in the moderate category. In addition, more than 80% of participants were able to complete the practical tasks in the good category. These results indicate that the digital literacy training implemented was able to improve participants' knowledge and skills in utilizing digital technology to support reporting and administrative activities in the plantation work environment.
Co-Authors Agung Susilo Yuda Irawan Agung Triatna Ahmad Fauzi Aldo Zamaludin Fernando Anis Fitri Nur Masruriyah Antika Zahrotul Kamalia Ardhana Putri Farahdiansari Ayu Ratna Juwita Baihaqi, Kiki Ahmad Bayu Padilah Chepy Sonjaya Daffa Rifqi Abyansyah Deden Wahiddin Diah Nurlaila Dina Aliya Sari Dony Dwi Karyanto Dwi Sulistya Kusumaningrum Elsa Elvira Awal Euis Nurlaelasari Fathan Mubina Dewadi Gilang Cantona Habib Alamsyah Hanny Hikmayanti Handayani Hilda Yulia Novita Hilman Abdurrohim Azis Indra, Jamaludin Indri Rahmawati Iqbal Tawakkal Jan Everhard Riworuhi Krisna Perdana Jaya Sitompul Maulana Arif Hidayat Mia Mia Mohammad Fadli Perdana Mudzakir, Tohirin Al Nurhayati Rai Tilosava De Araujo Ryan Antono Sasmi, Weni Tri Sukmawati, Cici Emilia Tatang Rohana Teguh Budianto