Article Per Year (5 Year)
p-Index From 2021 - 2026
7.902
P-Index
This Author published in this journals
All Journal JURNAL SISTEM INFORMASI Jurnal Informatika dan Teknik Elektro Terapan Infotech Journal Proceeding SENDI_U JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Jurnal Penelitian Pendidikan IPA (JPPIPA) SMARTICS Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal SOLMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Universitas Pamulang JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) PROCEEDING STIMA MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Komputasi dan Teknologi Informasi IJISTECH (International Journal Of Information System & Technology) Jurnal Mantik BERNAS: Jurnal Pengabdian Kepada Masyarakat Tematik : Jurnal Teknologi Informasi Komunikasi IJISTECH Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Industrial Research Workshop and National Seminar DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY J-ENSITEC (Journal of Engineering and Sustainable Technology) West Science Interdisciplinary Studies Jurnal Sistem Informasi West Science Interdisciplinary Studies Jurnal Informatika: Jurnal Pengembangan IT Science Information System and Technology SEMINAR TEKNOLOGI MAJALENGKA (STIMA) International Journal of Applied Information Systems and Informatics
Ade Bastian
Program Studi Informatika, Fakultas Teknik, Universitas Majalengka, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 76 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 76 Documents
Search

 4   5   6   7   8 
Maleo Emotion Audio Dataset Indonesia for Emotion Classification Ardi Mardiana; Sri Mentari Widya Ningrum Permana; Ii Sopiandi; Ade Bastian; Eka Tresna Irawan
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 2, May 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i2.2474

Abstract

The limited availability of voice emotion corpora in Indonesian poses a challenge for the development of Speech Emotion Recognition (SER) systems, despite growing needs in sectors such as customer service and human-computer interaction. To address this, we developed the Maleo Emotion Audio Corpus, a collection of three-second audio clips with seven emotion labels (angry, neutral, disgusted, sad, happy, afraid, and surprised), sourced from YouTube. The audio data underwent preprocessing, feature extraction (MFCC, ZCR, energy, spectral roll-off, and spectral flux), and augmentation. The classification model was built using a 1D Convolutional Neural Network (CNN) architecture specifically adapted for the 3-second audio features, comprising four convolutional layers. Evaluation showed the model achieved 94.48% accuracy on the test data. The claim of balanced performance is supported by high F1-scores across all classes, ranging from 0.87 for 'sad' to 0.98 for 'neutral', indicating no single class dominated the results. These findings demonstrate that the developed corpus and model architecture have strong capability for recognizing emotions from Indonesian speech in a locally relevant context. Maleo Emotion collection is available at https://doi.org/10.57967/hf/6144.
Tinjauan Literatur Sistematis terhadap Metode Shape-Based Feature Extraction dalam Computer Vision Sahal Ubaidillah Gunardo; Ilma Ala Ulumillah; Ade Bastian
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 7, No 1: JUNI 2026
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v7i1.8825

Abstract

Penelitian ini bertujuan untuk menganalisis perkembangan metode shape-based feature extraction dalam bidang computer vision melalui pendekatan systematic literature review. Metode yang digunakan mengacu pada prosedur seleksi literatur berbasis PRISMA dengan tahapan identifikasi, penyaringan, kelayakan, dan inklusi terhadap 22 paper yang relevan. Hasil analisis menunjukkan bahwa metode shape-based feature extraction berkembang dari pendekatan tradisional berbasis fitur geometris menuju metode berbasis deep learning seperti convolutional neural network, You Only Look Once, dan vision transformer. Selain itu, ditemukan bahwa pendekatan hybrid yang menggabungkan fitur berbasis bentuk dan pembelajaran mendalam mulai banyak digunakan untuk meningkatkan akurasi dan performa sistem. Meskipun metode deep learning mendominasi, pendekatan shape-based masih memiliki keunggulan dalam hal interpretabilitas dan efisiensi komputasi. Namun demikian, terdapat beberapa gap penelitian, terutama pada pengembangan metode hybrid yang optimal dan peningkatan interpretabilitas model. Kesimpulan dari penelitian ini menunjukkan bahwa integrasi antara metode shape-based dan deep learning menjadi arah penelitian yang menjanjikan di masa depan.Kata Kunci: Shape-based feature extraction, computer vision, deep learning, systematic literature review, hybrid method
Analysis of Trends and Development of Low-Light Image Enhancement Methods in Computer Vision Ani Sanirah; Sri Rahayu; Ade Bastian
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2372

Abstract

This study investigates the development of Low-Light Image Enhancement (LLIE) methods in the field of computer vision using a Systematic Literature Review (SLR) approach. The review was conducted on 56 scientific articles selected from a total of 604 papers entirely sourced from the Scopus database based on the PRISMA 2020 guidelines. The results indicate that LLIE research has evolved from traditional methods, such as histogram equalization and Retinex, toward deep learning-based approaches including CNN, GAN, Transformer, and diffusion models. Modern methods have demonstrated superior performance in improving image illumination, preserving details, and reducing noise. In addition, real-world datasets and zero-reference approaches are increasingly adopted to improve model generalization capability. However, challenges remain regarding computational complexity, detail preservation, and model performance under extreme low-light conditions. This study concludes that future LLIE research will focus on developing models that are more adaptive, efficient, lightweight, and robust for various computer vision applications.
Perancangan Game Kasada Aksara Dan Bahasa Sunda Sebagai Media Edukasi Menggunakan Unity Berbasis Android Didin Rudini; Ade Bastian; Dadan Zaliluddin
J-ENSITEC (Journal of Engineering and Sustainable Technology) Vol. 9 No. 02 (2023): June 2023
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jensitec.v9i02.4069

Abstract

The utilization of information technology as an educational medium is one of the efforts that can be chosen to preserve the Sundanese script and language because it is very relevant to modern times like now. Educational media in the form of Android-based Games can be a means of entertainment as well as provide information about the Sundanese script and language, besides that it is effortless to access because it is enough to use a device that uses the Android operating system. The type of Game chosen is a puzzle Game and a Game of arranging letters into words so that it can train the memory and accuracy of the users of this Game. The Game interface design process uses the Figma application and Adobe Illustrator, then the Game design process uses the Unity application. It is utilizing Android-based Games as educational media will provide a more enjoyable and flexible learning experience.
Pelatihan Dan Pendampingan Digitalisasi Persuratan Desa Kepuh Untuk Meningkatkan Efisiensi Layanan Administrasi Harun Sujadi; Dony Susandi; Engkos Koswara; Budiman Budiman; Whydiantoro Whydiantoro; Ardi Mardiana; Ade Bastian; Asep Rachmat; Dipa Subandi; Tsaqib Ilham Nur; Jujun Badrujaman
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 3 (2026)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v7i3.15985

Abstract

Kegiatan pengabdian masyarakat ini dilaksanakan di Desa Kepuh, Kecamatan Lemahsugih, Kabupaten Majalengka, dengan tujuan mengatasi permasalahan layanan administrasi desa yang selama ini masih dilakukan secara manual. Permasalahan utama yang dihadapi adalah keterbatasan akses layanan karena warga harus datang langsung ke kantor desa, proses birokrasi yang panjang, risiko kehilangan arsip fisik, serta keterampilan digital aparatur yang masih perlu ditingkatkan. Solusi yang ditawarkan adalah penerapan sistem digitalisasi persuratan berbasis web yang memungkinkan warga mengajukan permohonan surat secara daring. Sistem ini dilengkapi fitur login menggunakan email, autentikasi identitas dengan Nomor Induk Kependudukan (NIK) dan verifikasi selfie dengan KTP, serta persetujuan dokumen melalui tanda tangan digital. Metode pelaksanaan meliputi survei lapangan, studi literatur, identifikasi kebutuhan, perencanaan sistem, instalasi aplikasi, sosialisasi, pelatihan, serta evaluasi keberlanjutan. Hasil kegiatan menunjukkan peningkatan efisiensi pelayanan, transparansi administrasi, serta kepuasan warga yang lebih tinggi terhadap kinerja aparatur desa. Aparatur desa juga mengalami peningkatan keterampilan digital setelah mengikuti pelatihan, sehingga sistem dapat dikelola secara mandiri. Selain manfaat teknis, kegiatan ini juga mendorong partisipasi masyarakat dalam mendukung inovasi layanan publik berbasis teknologi. Program ini diharapkan dapat menjadi model penerapan Smart Village yang berkelanjutan, mendukung tata kelola desa yang lebih efektif, serta dapat direplikasi di desa lain dengan kondisi serupa.
Tinjauan Literatur Sistematis terhadap Metode Shape-Based Feature Extraction dalam Computer Vision Gunardo, Sahal Ubaidillah; Ulumillah, Ilma Ala; Bastian, Ade
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol. 7 No. 1: JUNI 2026
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v7i1.8825

Abstract

Penelitian ini bertujuan untuk menganalisis perkembangan metode shape-based feature extraction dalam bidang computer vision melalui pendekatan systematic literature review. Metode yang digunakan mengacu pada prosedur seleksi literatur berbasis PRISMA dengan tahapan identifikasi, penyaringan, kelayakan, dan inklusi terhadap 22 paper yang relevan. Hasil analisis menunjukkan bahwa metode shape-based feature extraction berkembang dari pendekatan tradisional berbasis fitur geometris menuju metode berbasis deep learning seperti convolutional neural network, You Only Look Once, dan vision transformer. Selain itu, ditemukan bahwa pendekatan hybrid yang menggabungkan fitur berbasis bentuk dan pembelajaran mendalam mulai banyak digunakan untuk meningkatkan akurasi dan performa sistem. Meskipun metode deep learning mendominasi, pendekatan shape-based masih memiliki keunggulan dalam hal interpretabilitas dan efisiensi komputasi. Namun demikian, terdapat beberapa gap penelitian, terutama pada pengembangan metode hybrid yang optimal dan peningkatan interpretabilitas model. Kesimpulan dari penelitian ini menunjukkan bahwa integrasi antara metode shape-based dan deep learning menjadi arah penelitian yang menjanjikan di masa depan.Kata Kunci: Shape-based feature extraction, computer vision, deep learning, systematic literature review, hybrid method
Co-Authors Abrar Wahid Abu Bakar, Abib Maftuh ade rahmawati Adnan Arshad Ai Komariah Alam, Muhammad Quthbul Aldri Frinaldi Ani Sanirah Ano Tarsono Ardi Mardiana Ardi Mardiana Arif Yusuf Budiman Aripin, Ali Maulana Hapid Arshad, Adnan Asep Rachmat Asyhari, Muhammad Fiddiana Azkiya, Muhammad Azkal Badhel, Yasser Gibran Berliani, Mega Billy Adrian Fernanda Budiman Budiman Cesoria, Yola Zerlinda Dadan Romadhoni Dadan Zaliluddin Dadan Zaliluddin Destiani, Putri Dety Sukmawati Devi Sukrisna Diana Surya Heriyana Didin Rudini Dimas, Fadli Dinda Sri Wulansari Dipa Subandi Dony Susandi Eka Tresna Irawan Eka Tresna Irawan Engkos Koswara Erdiyanti, Yucky Putri Fahmi Aziz, Muhamamad Fernanda, Billy Adrian Firmansyah, Mochammad Bagasnanda Fitriani, Nadila Fitriyani, Rofi Gunardo, Sahal Ubaidillah Hafsari, Zacky Haq, Rosdiana Harti, Adi Oksifa Rahma Harun Sujadi Hermawan, Dicky Ida Marina Ii Sopiandi, Ii Ilma Ala Ulumillah Imas Naimah Hasnah Indra Permana, Indra Indradewa, Rhian Jabbar, Fathir Abdul Jujun Badrujaman Khoerunissa, Salsa Kovertina Rakhmi Indriana Kusumadewi, Intan Latiful Abror Lia Milana Lidya Tresna Wahyuni Mega Berliani Miftahuddin Al-Aziz Mochammad Bagasnanda Firmansyah Mochammad Bagasnanda Firmansyah Muhamamad Rifki Muhammad Fahmi Ajiz Muhammad Iqbal Rizmaya Muhammad Iqbal Rizmaya Muhammad Rifki Muhammad Rifki Muhammad Syifa Al Maroghi Muhammad Taufiq Muhammad Taufiq Mukhlis Nadya Pratiwi Aisha Bakhtiar Nana Sutrisna Nana Sutrisna Nia Kurniati Nisa Brian Sulaeman Nugraha, Algi Nugraha, Faisol Nugraha, Rezha Nunu Nurdiana, Nunu Nurfajriah, Riska Nurhilda, Pebby Nurhimah, Enung Pangarsi Dyah Kusuma Wardani, Siti Pangestu, Arki Aji Pauzan, Muh Permana, Iip Indra Prahara, Ervin Gusti Dwi Priyadi, Deni Purnama, Crisda Putra, Agam Maulana Rachmat, Asep Rahayu, Syifaa Puspita Riepah, Ipah Rifki, Muhamamad Riki Riyanto Riri Nurazizah Ristina Siti Sundari Rivki Anja Afrenda Rohmanudin, Wildan Rusmanto, Ayu Hafidzah Rusyn, Volodymyr Safari Yonasi Sahal Ubaidillah Gunardo Salwa, Alya Jihan Sandi Fajar Rodiansyah Sarmidi Sarmidi Sarmidi Sarmidi Satria Winata Sidik Zapar Sidik Sri Mentari Widya Ningrum Permana Sri Rahayu Sudjana, Muhammad Ridwan Shaleh Syifaa Puspita Rahayu Tantri Wahyuni Tika Sifana Tri Ferga Prasetyo Tsaqib Ilham Nur Ulumillah, Ilma Ala Usup Suparma Vini Arifiani Rohmat Volodymyr Rusyn Wahid, Abrar Wahyuni, Kartika Sri Wahyuni, Lidya Tresna Whydiantoro Whydiantoro Whydiantoro Wildan Rohmanudin Wildan Zhilal Manafi Wiranagari, Relifa G Yofi Awwaluddin Yunus, Riza M ZAPAR SIDIK, SIDIK