Article Per Year (5 Year)
p-Index From 2021 - 2026
10.805
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering International Journal of Advances in Intelligent Informatics Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Ilmiah KOMPUTASI Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Komputer AMIK BSI Information System for Educators and Professionals : Journal of Information System Jurnal Penelitian Pendidikan IPA (JPPIPA) Indonesian Journal of Artificial Intelligence and Data Mining Seminar Nasional Teknologi Informasi Komunikasi dan Industri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Sebatik Journal of Information Technology and Computer Engineering JURNAL SIMTIKA (Sistem Informasi dan Informatika) JURTEKSI Informatika : Jurnal Informatika, Manajemen dan Komputer bit-Tech Systematics Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Applied Data Sciences Jurnal Computer Science and Information Technology (CoSciTech) Journal of Applied Computer Science and Technology (JACOST) Majalah Ilmiah UPI YPTK Journal of Computer Scine and Information Technology Bulletin of Computer Science Research Insearch: Information System Research Journal Jurnal Komtekinfo Jurnal Sistim Informasi dan Teknologi INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Innovative: Journal Of Social Science Research Jurnal Teknologi SmartComp Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) JR : Jurnal Responsive Teknik Informatika CSRID Jurnal Responsive Teknik Informatika Methods in Science and Technology Studies
Sumijan
Universitas Putra Indonesia YPTK Padang
Agriculture, Biological Sciences & Forestry Humanities 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 Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

Published : 130 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : bulletin of computer science research

 1 
Analisis Pengelompokan Jenis Anomali Aktivitas Pengguna Pada Log Sistem Informasi Klinik Menggunakan Lof Dan K-Means Puja M Alca; Sumijan Sumijan; Rini Sovia
Bulletin of Computer Science Research Vol. 6 No. 4 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i4.972

Abstract

Digital transformation in the healthcare sector has driven the adoption of clinic information systems for computerized management of patient medical records. Sensitive data security is threatened by user behavior deviations, requiring immediate detection mechanisms. This study aims to identify anomalous activity patterns and indicators from user log records, including unusual database operation frequencies, abnormal access times, and suspicious data manipulation patterns.The Local Outlier Factor algorithm functions to systematically calculate the local density score of each data point relative to its nearest neighbors. This method detects user activities that deviate significantly from normal patterns in daily clinic operational systems. The K-Means Clustering algorithm groups detected anomalous data into clusters based on similarity of user activity feature characteristics. The clustering facilitates administrator categorization of occurring anomaly types along with threat severity levels to the system.Research data were obtained from user activity log records of the clinic information system at Klinik Utama RIDDA Payakumbuh, which underwent preprocessing stages including data cleaning, feature transformation, value normalization, and handling of missing values.Test results demonstrate that the combination of LOF and K-Means achieved accuracy of 89.5%, precision of 87.3%, and recall of 85.7% on the test dataset. These validation metrics prove that the method effectively addresses user behavior deviation detection in the clinic environment. The test results affirm that the hybrid approach can identify suspicious activities with minimal error rates, ensuring reliability. The research contribution provides practical impact for clinic information system administrators in supervising patient data security through integrated early warning mechanisms.
Analisis Komparasi Convolutional Neural Network dan Learning Vector Quantization dalam Klasifikasi Khat Arab Digital Sabri T Rahman; Yuhandri Yuhandri; Sumijan Sumijan
Bulletin of Computer Science Research Vol. 6 No. 4 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i4.976

Abstract

Arabic khat is a form of writing that possesses complex visual characteristics, such as variations in letter shapes, stroke thickness, texture, and stylistic differences. This complexity creates challenges in manually recognizing different types of khat. This study aims to analyze and compare the performance of Convolutional Neural Network (CNN) and Learning Vector Quantization (LVQ) methods in classifying five types of Arabic khat digital images, namely Diwani, Farsi, Naskh, Ruqaa, and Tuluth. The dataset was obtained from the Kaggle.com platform. CNN architecture consists of an input layer of 100×100×1, followed by two convolutional layers with 32 and 64 filters of size 3×3, each followed by ReLU activation and max pooling with stride 2. The network then includes a fully connected layer with 64 neurons, a final fully connected layer corresponding to the number of classes, a softmax layer, and a classification layer. CNN training was conducted using 5-fold cross-validation, applying data augmentation in each fold. For the LVQ method, Local Binary Pattern (LBP) was used for feature extraction from 100×100 images with parameters: radius 1, 8 neighbors, cell size [48 48], and L2 normalization. The extracted features were used for training with an initialization of 25 prototypes from 5 classes. The process also employed 5-fold cross-validation. From 40 testing samples, the CNN model achieved an accuracy of 87.5%, while the LVQ model achieved an accuracy of 85%. The CNN algorithm demonstrated better performance in handling the complex visual patterns of Arabic khat. Meanwhile, LVQ showed advantages in architectural simplicity and computational efficiency. This research is expected to contribute to the development of Arabic khat image classification systems and serve as a reference in selecting optimal methods for Arabic khat recognition.
Co-Authors A Alfarisdon Abdi Rahim Damanik Adek Putri Adi Gunawan Aflili Sari Ahmad Khomsi Ahmad Zaki Aktavera, Beni Alifia Restu Selvanda Amran Sitohang Andre Agasi Andreas Malau Andres Boni Fakio Andri Nofiar Anjun Dermawan Ardia Ovidius Asep Kurniawan Asri Hidayad Ayu Prima Siska Bias Yulisa Geni Billy Hendrik Budi Jaya Budi Permana Putra Caniago, Deosa Putra Cyntia Lasmi Andesti Daeng Saputra Perdana Darma Yunita Darmawi Dede Pratama Dedi Irawan Deosa Putra C aniago Devi Maryuni Devia Kartika Dhena Marichy Putri Dhio Saputra Dian Cyntia Dewi Dina Ayudia Dina Selvia Dinul Akhiyar Dwiki Aulia Fakhri Edo Rinaldi Rais Eka Praja Wiyata Mandala Encik Yoega Renaldi Eri Haryadi Eri Haryadi eriwandi Esa Kurniawan Fachriqi Naldes Fachrul Ilmawan Fajri Karim Fajrul Islami Febri Aldi Febri Hadi Feri Irawan Ghea Paulina Suri Gunadi Widi Nurcahyo Hadi Syahputra Hadrila P A Hafid Dwi Adha Hafiz Mursalan hamsiah hamsiah Hardiansyah Putra Haris Kurniawan Hengki Juliansa Ibnu Rasyid Munthe Ieannoal Vhallah Ilham Roni Yansyah Indra Gunawan Irzal Arif Wisky Iskandar Fitri Jeri Wandana Jufriadif Na`am, Jufriadif Julius Santony Julius Santony Julius Santony Julius Santony K Kadrahman Kalfinus Waruwu Khairul Azmi Lc Granadi Suhaidir Lili Amareza Patriani M Syahputra M. Arif M. Rasyid M.Hafiz Alfansury Mahdiasa Sholihin Mardayulis, Mardayulis Mardison Monsya Juansen Muhammad Habib Yuhandri Muhammad Hafizh Muhammad Iqbal MUHAMMAD TAJUDDIN Muhammad Tajuddin Muhammad, Abulwafa Mustopa Husein Lubis Nandra Sunaryo Nella Novrina Doni Nindi Misyahdul Yuzi Nopan Pirsa Nur Aini Nurhidayat Okta Veza Pratama, Muhammad Harits Pratiwi, Fitri Puja M Alca Radillah, Teuku Rahmad Dian Rahmi Fauzana Rakhmad Pribowo Hariputra Rani Yunima Astia Rezki - Riadi, Rahadatul ‘Aisy Rian Kurniawan Riski Randa Hidayatullah Roni Roni Roni Salambue Rubiati, Nur Rusnedy, Hidayati S Salmiati Sabri T Rahman Sahyunan Harahap Salsa Fitiansyah Sarjon Defit Seni Oknora Firza Setiawan, Adil Soeheri Soeheri Sofika Enggari Sovia, Rini Sri Amalia Harahap Sri Handayani Subrianto Chandra Suhefi Oktarian Surmayanti, Surmayanti Surya Aulia Rahman Surya Dwi Putra Syafri Arlis Syahid Hakam Abdul Halim Syaljumairi, Raemon Tio Ramadan Sapto Hari Ulia Ulfa Wahyudi Wahid Wardana, Bendra Wendi Boy Widya Febriani Wijaya Hakim Yanto, Musli Yendi Putra Yoga Ananda Putra Yolan Ananda Putri Yosua Ade Pohan Yuhandri Yuhandri, Yuhandri Yuki Saputra Yusma Elda Z Zulvitri ZH, Lina Alfaridah. Zulfitri Yani