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All Journal International Journal of Electrical and Computer Engineering ComEngApp : Computer Engineering and Applications Journal JURNAL SISTEM INFORMASI BISNIS Techno.Com: Jurnal Teknologi Informasi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro CommIT (Communication & Information Technology) Jurnal Ilmiah Kursor Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) ELINVO (Electronics, Informatics, and Vocational Education) Annual Research Seminar INFORMAL: Informatics Journal Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi Proceeding of the Electrical Engineering Computer Science and Informatics Edu Komputika Journal Format : Jurnal Imiah Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab SISFOTENIKA Journal of Information Technology and Computer Science (JOINTECS) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA JIEET (Journal of Information Engineering and Educational Technology) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Insect (Informatics and Security) : Jurnal Teknik Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI Abdimas Dewantara PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Compiler Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Digital Zone: Jurnal Teknologi Informasi dan Komunikasi IJID (International Journal on Informatics for Development) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Teknologi Terpadu EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Mantik NUKHBATUL 'ULUM : Jurnal Bidang Kajian Islam Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Buletin Ilmiah Sarjana Teknik Elektro Indonesian Journal of Business Intelligence (IJUBI) bit-Tech Mobile and Forensics Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Jurnal Pengabdian Masyarakat Bumi Raflesia Cyber Security dan Forensik Digital (CSFD) Jurnal Abdi Insani Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems Journal of Innovation Information Technology and Application (JINITA) Journal of Education Informatic Technology and Science Jurnal Bumigora Information Technology (BITe) Jurnal Teknologi Informatika dan Komputer SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal REKSA: Rekayasa Keuangan, Syariah dan Audit Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Phasti: Jurnal Teknik Informatika Politeknik Hasnur Jurnal Pengabdian Masyarakat Indonesia Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat Patikala Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Puan Indonesia Jurnal Informatika Teknologi dan Sains (Jinteks) Techno Wahana Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Engineering Science Letter Journal of Novel Engineering Science and Technology Jurnal Informatika: Jurnal Pengembangan IT Jurnal Software Engineering and Computational Intelligence Mohuyula : Jurnal Pengabdian Kepada Masyarakat Scientific Journal of Informatics semanTIK Jurnal Informatika Medis (J-INFORMED) Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JOCHAC Jurnal Repositor Proceeding of Informatics Collaborations and Dessimenation Meeting (Infocoding)
Imam Riadi
Department Of Information Systems - Universitas Ahmad Dahlan
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Evaluating IndoBERT for Fraudulent Tweet Detection on Social Media X Imroatul Khuluqi Izzah; Imam Riadi; Abdul Fadlil
Compiler Vol 15, No 1 (2026): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v15i1.3979

Abstract

The spread of fraudulent content on social media X has become an important issue because perpetrators often use persuasive, urgent, and misleading language to influence users to transfer money, share personal data, or access suspicious links. This research evaluates the performance of IndoBERT for binary classification of fraud and non-fraud Indonesian-language posts on social media X using a two-stage fine-tuning design. The dataset consists of 5,235 manually labeled posts, including 2,557 fraud and 2,678 non-fraud instances. In Stage 1, four IndoBERT variants, namely indobert-base-p1, indobert-base-p2, indobert-large-p1, and indobert-large-p2, were compared using a uniform training configuration to identify the best model. The results showed that indobert-large-p1 at epoch 5 achieved the best performance, with a validation F1-score for the fraud class of 0.8898 and a test accuracy of 0.8989. In Stage 2, the selected model was re-evaluated through a controlled grid search by varying epoch, learning rate, and batch size. Although the best Stage 2 configuration improved the validation F1-score to 0.8975, it did not surpass the best Stage 1 model on the test set. These findings indicate that IndoBERT is effective for fraud detection and that a two-stage evaluation design supports more systematic model selection.
Model Klasifikasi Kesesuaian Artikel Pada Jurnal SINTA Berdasarkan Metadata Menggunakan Term Frequency–Inverse Document Frequency dan Naïve Bayes Ainunna’imah; Imam Riadi; Herman Yuliansyah
SemanTIK : Teknik Informasi Vol. 12 No. 1 (2026): Volume 12 Number 1 (January-june 2026)
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v12i1.270

Abstract

Pertumbuhan publikasi ilmiah di Indonesia menimbulkan kebutuhan akan metode yang efisien untuk membantu peneliti mengklasifikasikan dan menentukan jurnal yang sesuai bagi artikel akademik. Berbagai penelitian menunjukkan bahwa metode machine learning, khususnya Naïve Bayes, efektif dalam tugas klasifikasi teks berbahasa Indonesia. Namun, penelitian yang secara khusus memanfaatkan metadata artikel untuk menentukan kesesuaian artikel terhadap jurnal terindeks SINTA masih terbatas, khususnya terkait integrasi TF–IDF dan evaluasi berbasis cross-validation. Penelitian ini bertujuan mengembangkan model klasifikasi kesesuaian artikel pada jurnal SINTA berdasarkan metadata menggunakan Term Frequency–Inverse Document Frequency dan Naïve Bayes. Dataset terdiri atas 1.200 metadata artikel mencakup judul, abstrak, dan kata kunci, yang dikumpulkan melalui crawling manual terhadap jurnal-jurnal bidang teknologi pada portal SINTA. Tahapan penelitian meliputi pengumpulan data, prapemrosesan teks (case folding, translasi, tokenisasi, stopword removal, dan stemming), penggabungan metadata, ekstraksi fitur menggunakan TF–IDF, serta penerapan algoritma Naïve Bayes dengan skema 5-fold cross-validation. Evaluasi berdasarkan confusion matrix menunjukkan bahwa model mencapai accuracy 0,7058, precision 0,6977, recall 0,7133, dan F1-score 0,7065. Hasil ini menegaskan bahwa Naïve Bayes mampu memberikan performa klasifikasi yang cukup baik terhadap metadata artikel, serta berpotensi mendukung pengembangan sistem rekomendasi target submission jurnal The rapid growth of scientific publications in Indonesia has created the need for efficient methods to assist researchers in classifying and determining suitable journals for academic articles. Previous studies have shown that machine learning methods, particularly Naïve Bayes, are effective for various Indonesian text classification tasks. However, research specifically utilizing article metadata to determine the suitability of articles for SINTA-indexed journals remains limited, especially regarding the integration of TF–IDF features and cross-validation–based evaluation. This study aims to develop a classification model for determining article–journal suitability within SINTA using Term Frequency–Inverse Document Frequency and the Naïve Bayes algorithm. The dataset consists of 1,200 article metadata entries, including titles, abstracts, and keywords, collected through manual crawling of technology-related journals listed on the SINTA portal. The research stages include data collection, text preprocessing (case folding, translation, tokenization, stopword removal, and stemming), metadata merging, feature extraction using TF–IDF, and the implementation of Naïve Bayes with a 5-fold cross-validation scheme. Evaluation using confusion matrix metrics shows that the model achieved an accuracy of 0.7058, precision of 0.6977, recall of 0.7133, and an F1-score of 0.7065. These results indicate that Naïve Bayes provides a reasonably strong classification performance on article metadata and has potential application in journal submission recommendation systems
FORENSIC ANALYSIS OF TROJAN BACKDOOR (GACOR) ATTACKS ON PRIVATE CLOUD ENVIRONMENTS USING KUAD METHOD Hero Wintolo; Mohammad Faiq Badruz Zaman; Haruno Sajati; Imam Riadi; Anton Yudhana; Tri Rochmadi; Puspa Ira Dewi Candra Wulan
Jurnal Informatika Medis (J-INFORMED) Vol. 4 No. 1 (2026): Jurnal Informatika Medis (J-INFORMED)
Publisher : LPPM Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/im.v4i1.4196

Abstract

This research examines the impact of a Trojan Backdoor Attack, referred to as a Gacor attack, on the security and service integrity of a private cloud environment based on OwnCloud. The experimental environment was deployed ubuntu server 22.04 using OwnCloud version 10.15.2 and supported by a Mikrotik CCR1016-12G network device. Application level and network level activities were monitored through Apache web server logs and Snort Intrusion Detection System (IDS) version 2.9.15.1, respectively. The investigation adopts the knowledge Understanding assessment defence (KUAD) framework, which structures the analysis into initiation, acquisition, execution, mitigation, and digital evidence disposition stages. The attack scenario focuses on exploiting a file upload vulnerability in the OwnCloud service to deploy and execute a malicious PHP-based Trojan Backdoor. The results show that the Gacor attack demonstrates highly repetitive and centralized behaviour, originate from a limited number of highly active IP addresses. This behaviour exploits weaknesses in application security configuration and results in system takeover and service defacement. Correlation between log analysis and IDS alerts confirms 10 distinct attack events and reveals a structured intrusion pattern rather than random probing activity. The data visualization reveals a structured and centralized attack pattern, resulting in 100% defacement of the OwnCloud index page, which highlights the severe security risk faced by private cloud environments that lack a adequate file upload protection mechanisms. The findings demonstrate that the application of the KUAD method, when combined with log analysis and intrusion detection systems (IDS) is effective in identifying, analyzing, and systematically documenting Trojan Backdoor attacks in private cloud computing environments.
TINJAUAN SISTEMATIS TREN, METODE, DAN DATA PADA PREDIKSI KELULUSAN MAHASISWA Rudy Ansari; Rudy Ansari; Sunardi Sunardi; Imam Riadi
Indonesian Journal of Business Intelligence (IJUBI) Vol 8 No 2 (2025): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v8i2.6551

Abstract

Penelitian tentang prediksi kelulusan mahasiswa banyak dipublikasikan akan tetapi biasanya metode beserta data yang dihasilkan dikemas secara terpisah dan kompleks sehingga gambaran tentang topik prediksi kelulusan mahasiswa saat ini kurang komprehensif. Tinjauan literatur ini bertujuan untuk mengidentifikasi dan menganalisis tren penelitian, dataset, dan metode tentang prediksi kelulusan mahasiswa yang dipublikasikan antara tahun 2020-2025. Berdasarkan kriteria inklusi dan ekslusi, tercatat sebanyak 75 artikel dari 199 artikel yang bersumber pada jurnal kuartil 1-4. Tinjauan literatur sistematis dapat didefinisikan sebagai proses mengidentifikasi, menilai, dan menginterpretasikan semua bukti penelitian yang tersedia untuk memberikan jawaban atas pertanyaan penelitian yang spesifik. Hasil analisis dalam lima tahun terakhir mengungkapkan bahwa penelitian prediksi kelulusan mahasiswa terdapat empat topik yaitu prediksi/klasifikasi, analisis dataset, pengelompokan (clustering), dan estimasi. Selain itu,  terdapat juga dua tren yang dibahas yaitu pemilihan fitur (feature selection) dan data tidak seimbang (imbalance data). Kategori data yang digunakan pada lima tahun terakhir lebih banyak menggunakan data private atau data real sebanyak 91% daripada data public. Metode yang paling sering digunakan pada topik-topik tersebut adalah Random Forest (RF), dan paling jarang yaitu metode Artificial Neural Network (ANN). Terdapat juga penggabungan metode untuk optimasi parameter di beberapa klasifikasi.
Machine Learning-based Chatbot Model for Healthcare Service: A Bibliometric Analysis Nia Ekawati; Imam Riadi; Herman Yuliansyah
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 3 (2025): November (Special Issue)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i3.3050

Abstract

While machine learning-based chatbots hold significant potential in healthcare services, a comprehensive synthesis regarding their roles, user demographics, benefits, and limitations remains unavailable, hindering in-depth understanding and future development. This study aims to conduct a bibliometric analysis to identify implementation trends and the research landscape of ML-based chatbot models in healthcare, simultaneously highlighting relevant existing gaps. Analysis of Scopus data using VOSviewer and “Publish or Perish” reveals “machine learning”, “chatbot” and “healthcare” as dominant keywords, indicating intensive research focus areas with stable publication growth. The United States emerges as a central hub for international research collaboration, particularly in AI for malnutrition; however, several outlier countries require further integration. Deep learning algorithms are identified as a crucial methodological trend for future directions. Chatbots possess the potential to revolutionize healthcare by enhancing accessibility and efficiency. Nevertheless, effective implementation necessitates careful consideration of ethical aspects, privacy, and data quality. The identified research gaps underscore the urgency for a holistic synthesis to guide responsible and effective chatbot innovation.
Multiclass Waste Image Classification Based on Convolutional Neural Network and Transfer Learning Arif Rahman; Devaldi Caliesta Octadiani; Imam Riadi; Suprihatin
Journal of Innovation Information Technology and Application (JINITA) Vol 8 No 1 (2026): JINITA, June 2026
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v8i1.2934

Abstract

The escalating waste generation presents significant challenges for waste management systems, driving the need for innovative and efficient waste separation technologies. Efficient waste management requires the accurate separation of organic and inorganic waste, which automation can significantly enhance. This paper uses Convolutional Neural Network (CNN) architectures, optimized through transfer learning, to classify waste images as part of an automatic waste separation system. The study evaluates three architectures (InceptionV3, ResNet152, and MobileNetV3) by fine-tuning and testing them on the Waste Images Dataset and Waste Classification Data datasets. The InceptionV3 model demonstrated superior performance on the Waste Images Dataset, achieving the highest accuracy across nine classes. In comparison, the MobileNetV3 model excelled on the Waste Classification Data with the best accuracy across the two classes. These results highlight the effectiveness of CNN in automating waste classification and underscore the potential of InceptionV3 for multiclass tasks and MobileNetV3 for binary classifications in diverse environmental contexts.
Penguatan Kompetensi Teknologi Digital Siswa Melalui Workshop Keahlian Informatika SMK PUI Majalengka Tri Ferga Prasetyo; Dedy Sumarhadi; Imroatul Khuluqi Izzah; Dian Novianti; Abdul Fadlil; Imam Riadi
Darma Abdi Karya Vol. 5 No. 1 (2026): Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM POLITEKNIK LP3I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/darmaabdikarya.v5i1.2991

Abstract

Kegiatan Program Pemberdayaan Umat (Prodamat) sebagai bentuk pengabdian kepada masyarakat ini bertujuan untuk memperkuat kompetensi teknologi digital siswa SMK PUI Majalengka melalui workshop keahlian informatika yang berorientasi pada literasi digital, berpikir komputasional, pengenalan pemrograman, pengelolaan data sederhana, keamanan digital, dan pemanfaatan perangkat lunak produktif. Kegiatan ini dilatarbelakangi oleh kebutuhan peserta didik SMK untuk memiliki keterampilan digital yang relevan dengan dunia kerja, pendidikan lanjut, dan tuntutan transformasi digital. Metode pelaksanaan menggunakan pendekatan pelatihan partisipatif yang terdiri atas analisis kebutuhan, penyusunan modul, pre-test, penyampaian materi, praktik terbimbing, simulasi penyelesaian masalah, post-test, refleksi, dan evaluasi keberlanjutan. Peserta kegiatan adalah siswa SMK PUI Majalengka yang mengikuti sesi workshop secara langsung di laboratorium komputer sekolah. Hasil kegiatan menunjukkan bahwa workshop mampu meningkatkan pemahaman siswa terhadap konsep dasar informatika, keterampilan menggunakan perangkat digital secara produktif, kesadaran etika dan keamanan digital, serta kemampuan menyusun solusi sederhana berbasis logika komputasional. Peningkatan terlihat dari partisipasi aktif siswa, penyelesaian tugas praktik, dan perbandingan hasil evaluasi awal dan akhir. Kegiatan ini menegaskan bahwa workshop informatika yang aplikatif, kontekstual, dan berbasis praktik dapat menjadi strategi penguatan kompetensi teknologi digital siswa SMK. Program lanjutan disarankan berupa klinik proyek digital, pendampingan portofolio, dan integrasi hasil workshop ke kegiatan ekstrakurikuler atau pembelajaran produktif sekolah.
Analysis of Conti Ransomware Attack on Computer Network with Live Forensic Method Rusydi Umar; Imam Riadi; Ridho Surya Kusuma
IJID (International Journal on Informatics for Development) Vol. 10 No. 1 (2021): IJID June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2021.2423

Abstract

Ransomware viruses have become a dangerous threat increasing rapidly in recent years. One of the variants is Conti ransomware that can spread infection and encrypt data simultaneously. Attacks become a severe threat and damage the system, namely by encrypting data on the victim's computer, spreading it to other computers on the same computer network, and demanding a ransom. The working principle of this Ransomware acts by utilizing Registry Query, which covers all forms of behavior in accessing, deleting, creating, manipulating data, and communicating with C2 (Command and Control) servers. This study analyzes the Conti virus attack through a network forensic process based on network behavior logs. The research process consists of three stages, the first stage is simulating attacks on the host computer, the second stage is carrying network forensics by using live forensics methods, and the third stage is analysing malware by using statistical and dynamic analysis. The results of this study provide forensic data and virus behavior when running on RAM and computer networks so that the data obtained makes it possible to identify ransomware traffic on the network and deal with zero-day, especially ransomware threats. It is possible to do so because the analysis is an initial step in generating virus signatures based on network indicators.
Analysis of Remote Access Trojan Attack using Android Debug Bridge Deco Aprilliansyah; Imam Riadi; Sunardi
IJID (International Journal on Informatics for Development) Vol. 10 No. 2 (2021): IJID December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2021.2839

Abstract

The security hole in the android operating system sometimes not realized by users such as malware and exploitation by third parties to remote access. This study conducted to identify the vulnerabilities of android operating system by using Ghost Framework. The vulnerability of the android smartphone are found by using the Android Debug Bridge (ADB) with the exploitation method as well as to analyze the test results and identify remote access Trojan attacks. The exploitation method with several steps from preparing the tools and connecting to the testing commands to the testing device have been conducted. The result shows that android version 9 can be remote access by entering the exploit via ADB. Some information has been obtained by third parties, enter and change the contents of the system directory can be remote access like an authorized to do any activities on the device such as opening lock screen, entering the directory system, changing the system, etc.
PERANCANGAN SISTEM INFORMASI PENDAFTARAN PESERTA DIDIK BARU (PPDB) BERBASIS WEB MENGGUNAKAN METODE RAPID APLLICATION DEVELOPMENT (RAD) Anton Yudahana; Imam Riadi; Ade Elvina
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 8 No 1 (2023): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v8i1.2977

Abstract

One of the Raudhatul Athfals chosen by parents to enroll their children in schools within the context of playgroups overseen by the Sikka District's ministry of religion is RA Plus Rabbani. However, this school hasn't made use of the information system as a tool for system management, particularly when it comes to new student registration. A yearly administrative procedure is the registration of new students, and if the implementation is still done the old-fashioned way, it will affect how inefficient the process is. As a result, coordinating the registration of new students requires the use of a computerized system. The plan will be to use the Rapid Application Development (RAD) method to create a web-based information system. Flowcharts and Data Flow Diagrams (DFD) are supporting tools used in system design, together with Entity Relationship Diagrams (RAD) for database design analysis and Figma for system interface design study. The results of the research show that RAD can support system development in a shorter time compared to other methods such as waterfall, SDLC, and prototype. Based on the discussion, it is concluded that the design of the system created can make it easier for users to use the system, because the design made is more attractive and easy to understand for various groups.
Co-Authors Abdul Fadlil Abdul Fadlil Abdullah Hanif Abdullah Hanif Abe, Tuska Achmad Nugrahantoro Achmad Syauqi Ade Elvina Adiniah Gustika Pratiwi Agung Wahyudi Agus Wijayanto Ahmad Azhar Kadim Ahmad Azhari Ahmad Luthfi Ahmad, Muhammad Sabri Aini, Fadhilah Dhinur Ainunna’imah Akbar, Zulfikri Al Amany, Sarah Ulfah Alawi, Hanna Syahida Alwas Muis Andi Zulherry Andi Zulherry . Andrianto, Fiki Anggara, Rio Annisa, Putri Anshori, Ikhwan Anton Yudahana Anton Yudhana Anton Yudhana ANWAR, FAHMI anwar, nuril Apriliani, Evinda Aprilliansyah, Deco Arif Rahman Arif Rahman Arif Rahman Arif Wirawan Muhammad Arif Wirawan Muhammad Arif Wirawan Muhammad Ariqah Adliana Siregar Arizona Firdonsyah Asno Azzawagama Firdaus Asruddin Astika AyuningTyas, Astika Aulia, Aulia Aulyah Zakilah Ifani Bambang Robiin Bashor Fauzan Muthohirin Basir, Azhar Basit Adhi Prabowo Bernadisman, Dora Budi Barata Kusuma Utami Budin, Shiha Busthomi, Iqbal D.E Purwadi Putra, Izzan Julda Davito Rasendriya Rizqullah Putra Davito Rasendriya Rizqullah Putra Deco Aprilliansyah Dedy Sumarhadi Devaldi Caliesta Octadiani Dewi Astria Faroek Dewi Estri Jayanti Dewi Estri Jayanti H Dian Novianti Dikky Praseptian M Djou, M Rosyidi Dwi Aryanto Eddy Irawan Aristianto Ediansa, Oka Eko Brillianto Eko Handoyo Eko Handoyo Elfatiha, Muhammad Ihya Aulia Elvina, Ade Ervin Setyobudi Fadhilah Dhinur Aini Fadhilah Dhinur Aini Fadlil , Abdul Fahmi Anwar Fahmi Auliya Tsani Faiz , Muhammad Nur Faiz Isnan Abdurrachman Fakhri, La Jupriadi Fanani, Galih Farid Suryanto Fatmawaty, Virdiana Sriviana FAULINDA ELY NASTITI Fauzan Natsir Fauzan, Fauzan Firdonsyah, Arizona Firmansyah Firmansyah Firmansyah Firmansyah Fithriatus Shalihah Fitri, Fitriyani Tella Fitriyani Tella Furizal Furizal, Furizal Galih Fanani Galih Pramuja Inngam Fanani Guntur Maulana Zamroni Guntur Maulana Zamroni, Guntur Maulana Gusti Chandra Kurniawan Habie, Khairul Fathan Hafizh, Muhammad Nasir Hanif, Abdullah Harman, Rika Haruno Sajati Haryanto, Eri Helmiyah, Siti Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah, Herman Hero Wintolo Hidayati, Anisa Nur Himawan I Azmi Iis Wahyuningsih Ikhsan Zuhriyanto Ikhwan Anshori Imroatul Khuluqi Izzah Indah Purnama Sari Iqbal Busthomi Irhas Ainur Rafiq Irhash Ainur Rafiq Iwan Tri Riyadi Yanto, Iwan Tri Riyadi Jamalludin Jamalludin Jamalludin, Jamalludin Jayawarsa, A.A. Ketut Joko Handoyo Joko Triyanto Kariyamin, Kariyamin Kartoirono, Suprihatin Kurniawan, Endang Kurniawan, Gusti Chandra Kusuma, Ridho Surya Laura Sari Luh Putu Ratna Sundari M. Rosyidi Djou M.A. Khairul Qalbi Mahsun Mahsun Maulana, Irvan Mega Fatimah Rosana Merita Arini Mhd. Basri Miladiah Miladiah Miladiah, Miladiah Mohammad Faiq Badruz Zaman Muchlas Muchlas Muflih, Ghufron Zaida Muh. Hajar Akbar Muhajir Yunus Muhamad Abduh, Muhamad Muhamad Caesar Febriansyah Putra, Muhamad Caesar Febriansyah Muhammad Abdul Aziz Muhammad Abdul Aziz Muhammad Arief Sutisna Muhammad Fahmi Mubarok Nahdli Muhammad Faqih Dzulqarnain Muhammad Faqih Dzulqarnain, Muhammad Faqih Muhammad Fauzan Gustafi Muhammad Ihya Aulia Elfatiha Muhammad Irwan Syahib Muhammad Kunta Biddinika Muhammad Muhammad Muhammad Nur Faiz Muhammad Yanuar Efendi Muhammad Zulfadhilah Muhammad ‘Arif Bin Mohamad Munawaroh Munawaroh Murinto Murinto Murinto Murni Murti, Raden Hario Wahyu Musa, Shahrulniza Mushab Al Barra Mustafa Mustafa Mustafa Mustafa NANNY, NANNY Nasrulloh, Imam Mahfudl Nasution, Dewi Sahara Nia Ekawati Nia Ekawati Niki Ratama NORITA SINAGA Nur Hamida Siregar Nur Miswar Nur Widiyasono, Nur Nuril Anwar Nuril Anwar, Nuril Nurmi Hidayasari Panggah Widiandana Prabowo, Basit Adhi Pradana Ananda Raharja Prakoso, Danar Cahyo Prambudi, Rizal Prambudi Prasetyaningrum, Putri Taqwa Purwaningrum, Santi Purwanto Purwanto Purwono Purwono, Purwono Puspa Ira Dewi Candra Wulan Putri Annisa Putro, Aldibangun Pidekso Raden Hario Wahyu Murti Raden Mohamad Herdian Bhakti Rafiq, Irhash Ainur Rahmat Ardila Dwi Yulianto Ramadhani, Erika Ramansyah Ramansyah Rauli, Muhamad Ermansyah Rauli, Muhamad Ermansyah Reyhanssan Islamey Ridho Ikhram Ridho Ikhram Ridho Surya Kusuma Rika Harman Rio Widodo Riski Yudhi Prasongko Rivai, Zulki Yanto Rizal Prambudi Rochmadi, Tri Roni Anggara Putra Rosalia Setia Nursanti Rudy Ansari Rudy Ansari Ruslan, Takdir Rusydi Umar Rusydi Umar Rusydi Umar Ruuhwan Safiq Rosad Sahiruddin Sahiruddin Salim, Mansyur Santi Purwaningrum Sari, Laura Shiha Budin Simanjuntak, Pastima Sismadi, Wawan Sri Mulyaningsih Sri Winiarti Sri Winiarti Sri Winiati St Rahmatullah Sudaryanto Sudaryanto Sudinugraha, Tri Sugandi, Andi Suhartono, Bambang Sukma Aji Sunardi Sunardi - Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Suprihatin Suprihatin Suprihatin Suprihatin Suprihatin Suprihatin Supriyanto Syaefudin, Rizal Syahida Alawi, Hanna Syahrani Lonang Syarifudin, Arma Taufiq Ismail Taufiq Ismail Tawar Tawar Tole Sutikno Tri Ferga Prasetyo Tri Lestari Tri Lestari Tri Rochmadi Triyanto, Joko Umar, Rusdy Veithzal Rivai Zainal Verry Noval Kristanto W, Yunanri Wahyusari, Retno Wardiwiyono, Sartini Wasito Sukarno Wawan Sismadi Weni Hawariyuni, Weni Wicaksono Yuli Sulistyo Wicaksono Yuli Sulistyo Widiandana, Panggah WIDODO, RIO Winiati, Sri Wintolo, Hero Wisnu Pranoto Yana Mulyana Yana Mulyana Yana Safitri, Yana Yohanni Syahra Yudi Kurniawan Yudi Kurniawan Yudi prayudi Yulian Wahyu Permadi Yuliansyah, Herman Yuliansyah, Herman Zein, Wahid Alfaridsi Achmad