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All Journal Prosiding SNATIF SITEKIN: Jurnal Sains, Teknologi dan Industri Telematika Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial IJCIT (Indonesian Journal on Computer and Information Technology) Indonesian Journal on Software Engineering (IJSE) Jurnal Pilar Nusa Mandiri Jurnal Teknologi dan Informasi Jurnal Riset Informatika Indonesian Journal of Business Intelligence (IJUBI) Abditeknika - Jurnal Pengabdian Kepada Masyarakat Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Insan Ladang Artikel Ilmu Komputer EVOLUSI : Jurnal Sains dan Manajemen
Pribadi, Denny
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Other

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PENGUKURAN TINGKAT KESUKSESAN SISTEM INFORMASI RUANG MAHASISWA PADA UNIVERSITAS BSI PSDKU SUKABUMI DENGAN MODEL DELONE DAN MCLEAN Jamal Maulana Hudin; Yusti Farlina; Denny Pribadi
Indonesian Journal of Business Intelligence (IJUBI) Vol 2 No 2 (2019): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v2i2.1106

Abstract

Measurement of student satisfaction rate of Student room information system is the benchmark of how much the institution contribution to provide facilities in academic service. Model Delone & Mclean is a model that can measure the satisfaction level of information system, with independent variables of system quality, quality of information and quality of service that will affect the dependent variables of use and User satisfaction. The type of research conducted is quantitative research with the number of respondents 174 students as samples, with simple random sampling technique. The results showed that the value of R2 was 0.934 or 93% for user satisfaction variables and 0.585 or 0.6% for usage variables, with a value of coherent determinations approaching 1, then it can be interpreted that the model enters into criteria Substantial. Value DF = 174 – 6 = 168 and a = 10%, then T-table value 1.28, then obtained 4 hypotheses supported, namely the quality of information on user satisfaction of 1.57, quality of service to user satisfaction of 2.33, the quality of the system to satisfaction Users and usage of 8.49 and 4.43. It can be interpreted that the student room information system of BSI PSDKU Sukabumi University has been successfully applied mainly in the quality of information system
INFORMATION GAIN PADA ALGORITMA C4.5 UNTUK KLASIFIKASI PENERIMAAN BANTUAN PANGAN NON TUNAI (BPNT) Rizal Amegia Saputra; Sri Wasiyanti; Denny Pribadi
Indonesian Journal of Business Intelligence (IJUBI) Vol 4 No 1 (2021): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v4i1.1757

Abstract

Masalah kemiskinan diberbagai belahan dunia khususnya indonesia menjadi persoalan serius yang menjadi pusat perhatian pemerintah saat ini. Berbagai cara telah di lakukan oleh pemerintah untuk menekan angka kemiskinan meningkat, salah satunya memberikan bantuan kepada masyarakat miskin melalui perogram Bantuan Pangan Non Tunai (BPNT). Namun pemangku kepentingan memiliki permasalahan yang terjadi dilapangan yaitu sulitnya mengklasifikasikan data yang menerima bantuan sehingganya mengakibatkan kurang tepatnya sasaran dalam memberikan bantuan. Dalam  penelitian ini menerapkan algoritma C4.5 dengan split kriteria information gain, algoritma C4.5 adalah salahsatu algoritma terbaik pada algoritma klasifikasi, dan dataset yang didapat pada tahun 2018 pada Desa Nagrak Utara Sukabumi sebanyak 130 data. Model pohon keputusan yang dihasilkan dari penerapan algoritma C4.5 yaitu menghasilkan akurasi sebesar 91.54% dengan nilai AUC 0.986, dengan demikian algoritma C4.5 untuk klasifikasi penentukan penerimaan BPNT itu termasuk algoritma Sangat Baik, karena range AUC diantara 0.90-1.00.
Optimasi Hyperparameter CNN Berbasis MediaPipe untuk Peningkatan Akurasi Pengenalan SIBI Denny Pribadi; Apip Supiandi; Taufik Hidayatulloh; Rinda Restiawati; Muhammad Hisyam Syafaat; Muhammad Rendi Rizaldi
Evolusi : Jurnal Sains dan Manajemen Vol. 14 No. 2 (2026): Periode September 2026
Publisher : LPPM Universitas Bina Sarana Informatika Kampus Kabupaten Banyumas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/evolusi.v14i2.12812

Abstract

Sistem Bahasa Isyarat Indonesia (SIBI) is a visual communication medium used by individuals with hearing impairments; however, public awareness and understanding of sign language remain limited, creating significant communication barriers in daily life. This study aims to develop a SIBI alphabet recognition system based on deep learning by utilizing a Convolutional Neural Network (CNN) approach supported by computer vision using MediaPipe. The research stages include hand image acquisition, preprocessing through normalization and augmentation, and model training using a CNN architecture. The dataset is divided into 80% for training, 10% for validation, and 10% for testing to evaluate the model’s generalization performance. Experimental results show that the model achieves a training accuracy of 99.72% and a validation accuracy of 96%, indicating highly effective performance in real-time SIBI gesture classification. Therefore, this study contributes to the development of assistive technologies that facilitate inclusive communication for individuals with hearing impairments in Indonesia.
Co-Authors A. GUNAWAN A. Gunawan A. Gunawan A.Gunawan Agung Wibowo Agus Junaidi Agustiani, Sarifah Akbar Mujahidin Ali Mustopa, Ali Ami Rahmawati Angga Ardiansyah Apip Supiandi Candra Agustina Dede Wintana Desi Susilawati Desi Susilawati, Desi Erika Mutiara Fidella Risyanli Fransiskus Ananda Wibisono Gunawan Gunawan Indarti Indarti Indarti Ita Yulianti Jamal Maulana Hudin Maryani, Ina Moh Yusup Nurhadi Muhammad Hisyam Syafaat Muhammad Rendi Rizaldi Nita Novianti Pangestu, Agis Rinda Restiawati Rizal Amegia Saputra Rizki Ramadhan Rusda Wajhillah Saeful Bahri Satia Suhada, Satia Siti Khotimatul Wildah Sopiyan Dalis Sopiyan Dalis Sri Wasiyanti, Sri Sumanto Sumanto Tati Mardiana, Tati Taufik Hidayatulloh Tuffahati, Wafa Tya Septiani Nurfauzia Koeswara Yoseph Tajul Arifin Yusti Farlina