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All Journal TEKNIK INFORMATIKA Jurnal Teliska Techno.Com: Jurnal Teknologi Informasi Teknika: Jurnal Sains dan Teknologi Jurnal Inspiration Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) DoubleClick : Journal of Computer and Information Technology Jurnal Teknologi Sistem Informasi dan Aplikasi JURIKOM (Jurnal Riset Komputer) AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science Jurnal Minfo Polgan (JMP) Ilmu Komputer untuk Masyarakat Journal of Natural Science and Technology Adpertisi: Bidang Sains dan Teknologi Jurnal Masyarakat Madani Indonesia Inspiration: Jurnal Teknologi Informasi dan Komunikasi JI-Tech Jurnal Abdimas Cendekiawan Indonesia
Nurhajar Anugraha
Politeknik Negeri Sriwijaya
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Performance Comparison Between ResNet50 and MobileNetV2 for Indonesian Sign Language Classification Daviana, Feriska Putri; Aryanti, Aryanti; Anugraha, Nurhajar
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8667

Abstract

Hearing impairment was considered a significant barrier to understanding verbal communication. Therefore, an alternative communication medium in the form of sign language was required to bridge interactions between Deaf and hearing individuals. One of the sign languages used in Indonesia was the Indonesian Sign Language (BISINDO). The advancement of deep learning technology provided a great opportunity to develop an effective and accurate BISINDO alphabet classification system. This research was conducted to evaluate and compare the performance of two Convolutional Neural Network (CNN) architectures, namely ResNet50 and MobileNetV2, in classifying BISINDO alphabet images consisting of 26 classes from A to Z. Model training wa carried out over 100 epochs and was analyzed using metrics such as training and validation accuracy, precision, recall, F1-score, and confusion matrix. The training process used a dataset that was divided into 80% training data and 20% validation data, and include image preprocessing steps such as resizing and rescaling. The evaluation results showed that ResNet50 achieved 86.42% training accuracy and 98.64% validation accuracy with 98.80% precision, 98.69% recall, 98.57% F1-score, and 31 misclassifications. In contrast, MobileNetV2 showed superior performance with 99.99% training accuracy, 99.65% validation accuracy, 99.69% precision, 99.65% recall, 99.61% F1-score, and only 8 misclassifications. Based on these results, MobileNetV2 was recommended as a more effective and efficient architecture for BISINDO alphabet image classification compared to ResNet50.
Utilization of Learning Animation Technology in Assisting the Creation of Interactive Teaching Materials for Teachers at SMAS Kristen Soleman Anugraha, Nurhajar; Bara, Rivanky Valensius; Abigail, Omita; Muchtar, Nur Azizah; Aprialliani, Nurlinda; Marici B, Angelin; Aman, Andryanto; Qadri, Muhammad; Wardhani, Dyah Utari Yusa
Jurnal Abdimas Cendekiawan Indonesia Vol. 1 No. 1 (2024): January
Publisher : Yayasan Cendekiawan Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jaci.v1i1.75

Abstract

The teacher's job is to increase student interest in learning with the aim of improving student achievement in the learning process. One of the problems faced by teachers at SMAS Kristen Soleman is the lack of knowledge and skills in the use of animation learning technology, so that the teaching materials produced are less attractive and become one of the factors in decreasing student interest in the learning process. The purpose of this community service is to improve knowledge and skills through training and mentoring in making interactive teaching materials using animated learning technologies such as Canva, Kahoot, and Powtoon to teachers at SMAS Kristen Soleman. The implementation method is carried out starting from the preparation stage (field observation, literature study, and partner identification), the implementation stage (training and mentoring), to the evaluation stage using pre-test and post-test before and after training and mentoring is carried out. Based on the evaluation results of training and mentoring teachers in making interactive teaching materials using animated learning technology, it shows an increase in knowledge from 41.7% to 100%, where teachers already knew interactive teaching materials using animation learning technology. Meanwhile, teachers' skills increased from 12.5% to 91.7%.
Sosialisasi Penerapan Digitalisasi Dalam Penataan Administrasi Laboratorium Teknik Telekomunikasi Rindu Nurhaliza; Suzan Zefi; Nurhajar Anugraha; M. Zakuan Agung; Rapiko Duri; Annisa Annisa; Yuris Ramadhona
Jurnal Masyarakat Madani Indonesia Vol. 4 No. 4 (2025): November
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/2xqh8b88

Abstract

Digitalisasi peminjaman alat dan ruangan di Laboratorium Teknik Telekomunikasi Politeknik Negeri Sriwijaya bertujuan meningkatkan efisiensi, mempercepat administrasi, dan mendukung sistem paperless. Sistem berbasis web ini dikembangkan dengan PHP dan MySQL serta diuji menggunakan XAMPP. Hasilnya, proses peminjaman menjadi lebih cepat, akurat, dan terdokumentasi dengan baik melalui fitur login, form peminjaman, validasi data, pemantauan status, dan laporan. Digitalisasi ini berhasil mengurangi kesalahan, meningkatkan transparansi, dan mempercepat pengambilan keputusan. Selain itu, kegiatan ini dilakukan dengan metode sosialisasi kemudian dilanjutkan dengan uji coba website oleh mahasiswa, Tenaga Kependidikan dan Dosen selaku user. Hasil uji coba website menunjukkan bahwa sistem yang dibuat layak digunakan dan diharapkan dapat membantu dalam pengelolaan alat dan peminjaman ruangan pada Laboratorium Teknik Telekomunikasi agar lebih efisien. Berdasarkan hasil kuesioner nilai rata-rata uji kelayakan sistem sebesar 86,1% sangat layak.
BLIND STICK UNTUK PENYANDANG TUNA NETRA BERBASIS ARDUINO M.Raihan Alpinsyah; Novita Wulandari; Ririn Yuniar; Reny Annisa Witr; Nyimas Anniz Soufani; Seh Arya Dini; Nurhajar Anugraha; Rapiko Duri
JURNAL TELISKA Vol 19 No I (2026): TELISKA Maret 2026
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/teliska.v19iI.11887

Abstract

The development of microcontroller technology opens up significant opportunities for the development of mobility aids for people with disabilities, particularly the visually impaired. This research designed and developed an Arduino-based Blind Stick that helps users detect obstacles around them. The system utilizes an ultrasonic sensor for distance detection, a buzzer for audio alerts, and a vibration module to provide tactile feedback when an object is within a certain distance. Data received by the sensor is processed by an Arduino microcontroller, enabling a fast and accurate response. Test results indicate that the device is capable of detecting objects within an effective range according to the user's mobility needs and providing easy-to-understand alerts. Therefore, this Arduino-based Blind Stick is expected to improve the safety, independence, and quality of life of visually impaired users in their daily activities
Sistem E-Voting berbasis Blockchain dengan Autentikasi Biometrik Sidik Jari dan Protokol Zero-Knowledge Proof Untuk Pengaman Privasi Nurhajar Anugraha; Muhammad Riswanto; Lindawati Lindawati; Asrul Asrul
Jurnal Minfo Polgan Vol. 14 No. 2 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i2.15536

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem e-voting berbasis blockchain dengan autentikasi biometrik sidik jari serta penerapan protokol zero-knowledge proofs sebagai pengamanan tambahan terhadap data pemilih dan hasil suara. Permasalahan utama yang dihadapi dalam sistem pemungutan suara elektronik konvensional adalah rendahnya kepercayaan terhadap keamanan data dan potensi manipulasi hasil. Metode penelitian yang digunakan mencakup perancangan sistem dengan arsitektur client-server, implementasi teknologi blockchain untuk pencatatan suara yang terenkripsi, serta integrasi biometrik sidik jari menggunakan BiometricPrompt API pada Android. Selain itu, sistem diverifikasi dengan kode OTP melalui email institusional sebagai bentuk validasi ganda pengguna. Hasil pengujian menunjukkan bahwa sistem dapat berjalan dengan baik dan memberikan keamanan yang tinggi karena setiap data suara tersimpan secara permanen dan tidak dapat diubah di jaringan blockchain. Autentikasi biometrik juga memastikan bahwa setiap pemilih terverifikasi secara unik sehingga tidak terjadi pemungutan suara ganda. Dengan demikian, sistem e-voting ini dinilai layak diterapkan untuk lingkungan akademik dan dapat dikembangkan lebih lanjut untuk pemilihan umum berskala lebih besar.
Co-Authors Abigail, Omita Ade Silvia Handayani Aman, Andryanto ANGRIAWAN, RANDY Annisa Annisa Anugraha, Tri Reski Aprialliani, Nurlinda Ardelia, Naila Aryanti Aryanti Asrul Asrul Bara, Rivanky Valensius Daviana, Feriska Putri Dedy Atmajaya Dyah Utari Yusa Wardhani Fatin, Muhammad Hanif H, Adriawan Handayani, Kurnia Wati Pascitra Harahap, Adhelia Febriasari I Wayan Rangga Pinastawa Irma Salamah Latif, Nuraida Lilis Nur Hayati Lindawati Lindawati Lindawati Lindawati M. Zakuan Agung M.Raihan Alpinsyah Malinda, Threa Marici B, Angelin Mashud, Mashud Maulidinnawati, Andi Muchtar, Nur Azizah Muhammad Riswanto Musthofa Galih Pradana Novita Sari, Diah Novita Wulandari Nurul Afifah Arifuddin NURZAENAB, NURZAENAB Nyimas Anniz Soufani Pangayan, Yulianto Prawira, Wanda Yudha Putri, Amanda Tsabita Qadri, Muhammad Ramadhan, Noer Randy Angriawan Rapiko Duri Reny Annisa Witr Rindu Nurhaliza Ririn Yuniar Salsabillah, Farhah Saputra , Febri Hidayat Sari, Diah Novita Seh Arya Dini Seliana, Imalda Sopian Soim, Sopian Sulistia Suzan Zefi Umar, Muh Utami, Pertiwi Nurul Yulia Hapsari Yuris Ramadhona Zhafarina, Imas Ning