Article Per Year (5 Year)
p-Index From 2021 - 2026
2.475
P-Index
This Author published in this journals
All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal PkM: Pemberdayaan Masyarakat Informatics and Enginering Dedication Klik - Jurnal Ilmu Komputer MDP Student Conference Journal of Information System and Education Development Engineering: Journal of Mechatronics and Education JES-TM Social and Community Service Mauve Journal De Leardu Jurnal Bersama Pengabdian Kepada Masyarakat Jurnal Pelita Pengabdian Masyarakat Journal of Applied Social Science Journal of Applied Engineering Science Journal Innovation in Information and Computer Technology
Anggoro Aryo Pramuditho
Sistem Informasi, Institut Teknologi dan Bisnis (ITB) Bina Sriwijaya Palembang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 18 Documents
Search

 1   2 
Pengembangan Aplikasi Biodata Mahasiswa Berbasis Desktop dengan Microsoft Visual Basic 6.0 sebagai Solusi Pengelolaan Data Efisien Ardiansyah, Muhammad Ridho; Davizan, Serry; Anggraini, Amelia; Pramudhito, Anggoro Aryo; Sari, Indah Rahma; Paramita, Bella
Journal of Social and Community Service Vol. 3 No. 3 (2024): November 2024
Publisher : Faculty of Engineering University of Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestmc.v3i3.184

Abstract

Efficient student data management is one of the important needs in educational institutions. However, in many cases, data management is still done manually or using less structured methods, which has the potential to cause errors and hinder the administration process. To overcome these problems, this community service program aims to develop and implement a desktop-based student biodata application using Microsoft Visual Basic 6.0. This application is designed to facilitate student data management, including input, search, update, and storage of data in a structured manner. Application development is carried out through the stages of needs analysis, system design, coding, and testing. The Microsoft Access database is used as a data storage medium, integrating Visual Basic 6.0 capabilities in efficient and user-friendly data management. The results of this activity show that the application developed has succeeded in increasing the efficiency of student data management. Users can easily enter, search, and modify data without the need for in-depth technical knowledge. In addition, application usage training provided to target users helps ensure the sustainability of application implementation in related institutions. With this application, it is hoped that student data management will be more organized, faster, and more accurate, thus providing a positive impact on administrative efficiency and decision-making in educational institutions.
Edukasi Penggunaan ChatGPT secara Etis dan Produktif dalam Lingkungan Sekolah hendriansyah hendriansyah; Muhammad Ridho Ardiansyah; Anggoro Aryo Pramuditho; Mahmud; Hasan Pratama Putra; Sabiah Apriyana
Jurnal Pelita Pengabdian Masyarakat Vol. 2 No. 1 (2025): Jurnal Pelita Pengabdian Masyarakat
Publisher : Yayasan Pelita Negri Belantaraya, Kab. Indragiri Hilir, Prov. Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65226/jppm.v2i1.160

Abstract

Perkembangan teknologi kecerdasan buatan (AI) semakin pesat dan mulai merambah dunia pendidikan, salah satunya melalui penggunaan ChatGPT sebagai alat bantu pembelajaran. Namun, pemanfaatan teknologi ini di lingkungan sekolah masih menghadapi tantangan, terutama terkait pemahaman etika penggunaan dan potensi penyalahgunaan. Kegiatan pengabdian masyarakat ini bertujuan untuk memberikan edukasi mengenai penggunaan ChatGPT secara etis dan produktif kepada guru dan siswa di sekolah menengah. Metode yang digunakan berupa pelatihan, diskusi interaktif, dan simulasi penggunaan ChatGPT dalam konteks pembelajaran. Hasil kegiatan menunjukkan peningkatan pemahaman peserta terhadap manfaat dan batasan penggunaan ChatGPT, serta munculnya kesadaran pentingnya etika digital dalam menggunakan teknologi AI. Edukasi ini diharapkan dapat mendorong integrasi teknologi secara bertanggung jawab dalam proses belajar mengajar di sekolah.
WORKSHOP AND TRAINING ON THE USE OF CHATGPT IN THE LEARNING PROCESS AT SENIOR HIGH SCHOOL NAHDLATUL ULAMA PALEMBANG Akhmad Sayuti; Muhammad Ridho Ardiansyah; Anggoro Aryo Pramuditho; Mahmud; Hasan Pratama Putra; Sabiah Apriyana
Jurnal Ilmu Sosial Terapan Vol 1 No 1 (2025): Journal of Applied Social Science
Publisher : Politeknik Kebangsaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65177/jass.v1i1.8

Abstract

The development of artificial intelligence (AI) technology has opened up new opportunities in the world of education, especially in supporting a more interactive and effective learning process. One of the AI technologies that is currently widely used is ChatGPT, a generative language model that can be used to help teachers and students understand material, answer questions, and compile assignments and teaching materials. However, the use of this technology at the Senior High School (SMA) and Vocational High School (SMK) levels, especially in Information Technology subjects, is still very limited. This community service activity aims to provide training on the use of ChatGPT in the Information Technology learning process in SMA/SMK schools. The methods used include delivering material, demonstrating the use of ChatGPT, and direct practice by teachers and students. The training focused on how ChatGPT can be used to understand basic ICT concepts, help compile simple programs, and as a tool in digital learning. The results of this activity showed an increase in participants' understanding and skills in utilizing ChatGPT productively and ethically in learning. In addition, this training also encourages the creation of more innovative and adaptive learning to technological developments. Thus, this training is expected to be the first step in integrating artificial intelligence into the education curriculum, especially in the field of Information Technology.
Implementasi Sistem Informasi Alumni SMK Negeri 1 Pemulutan Berbasis Web dengan Fitur Tracer Study Akhmad Sayuti; Nyimas Maynisa Aulia; Nurlista Iryanti; Novita Sari; Anggoro Aryo Pramuditho; Mahmud
Jurnal Ilmu Teknik Terapan Vol 1 No 1 (2025): Journal of Applied Engineering Science (JUNI)
Publisher : Politeknik Kebangsaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65177/jaes.v1i1.9

Abstract

Alumni merupakan salah satu elemen penting dalam mendukung kemajuan dan evaluasi kualitas pendidikan di sekolah. Namun, pengelolaan data alumni di SMK Negeri 1 Pemulutan masih dilakukan secara manual, sehingga menyulitkan proses pelacakan jejak lulusan (tracer study) yang sangat dibutuhkan untuk keperluan evaluasi, akreditasi, dan pengembangan kurikulum. Oleh karena itu, penelitian ini bertujuan untuk mengimplementasikan sistem informasi alumni berbasis web yang dilengkapi dengan fitur tracer study guna mempermudah pihak sekolah dalam mengelola dan memantau keberadaan serta aktivitas alumni. Metode pengembangan sistem yang digunakan adalah metode Waterfall, yang terdiri dari tahapan analisis kebutuhan, desain sistem, implementasi, pengujian, dan pemeliharaan. Pengumpulan data dilakukan melalui wawancara, observasi, dan studi dokumentasi. Sistem dikembangkan menggunakan bahasa pemrograman PHP, framework Laravel, dan database MySQL. Hasil dari penelitian ini adalah sebuah sistem informasi alumni berbasis web yang dapat digunakan oleh alumni untuk mengisi data tracer study dan memperbarui profil, serta oleh pihak sekolah untuk mengelola data alumni, melihat laporan tracer study, dan mencetak laporan. Dengan adanya sistem ini, proses pelacakan alumni menjadi lebih efisien, data lebih akurat, dan hubungan antara alumni dan sekolah dapat terjaga dengan lebih baik.
Hybrid Deep Learning Model for Early Prediction of Student Academic Risk Mahmud; Anggoro Aryo Pramuditho; Shahnawaz Ahmad
Journal Innovation in Information and Computer Technology Vol. 3 No. 2 (2026): (May) Journal Innovation in Information and Computer Technology (JICTECH)
Publisher : PT. Altaf Publishing Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70895/jictech.v3i2.114

Abstract

The increasing reliance on digital network infrastructures in higher education institutions has significantly increased the exposure of campus networks to various cyber threats. Cyberattacks such as distributed denial-of-service (DDoS), malware infections, and unauthorized access attempts can disrupt academic services and compromise sensitive institutional data. Therefore, developing an effective intrusion detection mechanism is essential to enhance cybersecurity within campus network environments. This study proposes a machine learning framework for cyberattack detection in campus networks by analyzing network traffic patterns using supervised machine learning algorithms. The proposed framework consists of several stages including dataset acquisition, data preprocessing, feature selection, model training, and performance evaluation. Experiments were conducted using the CICIDS2017 dataset, which contains both benign network traffic and multiple types of cyberattack scenarios. Three machine learning models, namely Random Forest, Support Vector Machine (SVM), and XGBoost, were implemented and compared in order to evaluate their effectiveness in detecting malicious network activities. The experimental results indicate that the XGBoost model achieved the highest performance, with an accuracy of 95.3%, outperforming the other evaluated models. These findings demonstrate that machine learning techniques can effectively identify abnormal network traffic patterns and improve cyberattack detection capabilities. The proposed framework provides a promising approach for strengthening cybersecurity monitoring and enhancing the resilience of campus network infrastructures against evolving cyber threats.
Perancangan Aplikasi Laporan Pengiriman Barang Berbasis Web Anggoro Aryo Pramuditho; Ubaidillah Ubaidillah
Klik - Jurnal Ilmu Komputer Vol. 6 No. 1 (2025): Klik - Jurnal Ilmu Komputer
Publisher : Fakultas Ilmu Komputer Universitas Sumatera Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56869/klik.v6i1.690

Abstract

CV Dua Putri merupakan perusahaan jasa ekspedisi yang berlokasi di Palembang dengan jalur distribusi menuju Jambi. Proses bisnis perusahaan masih dilakukan secara manual, mulai dari pencatatan pesanan hingga pelaporan pengiriman menggunakan dokumen Word dan arsip kertas. Kondisi ini menimbulkan berbagai permasalahan, seperti keterlambatan rekap bulanan, risiko kehilangan surat jalan, serta tidak efisien dalam pengelolaan data. Penelitian ini bertujuan merancang aplikasi laporan pengiriman barang berbasis web yang mampu meningkatkan efisiensi, akurasi, serta keamanan data perusahaan. Metodologi yang digunakan adalah iterasi, dengan tahapan perencanaan, analisis kebutuhan, perancangan sistem, implementasi, pengujian, serta evaluasi. Analisis PIECES digunakan untuk mengidentifikasi permasalahan, sedangkan perancangan dilakukan melalui Diagram Konteks, Data Flow Diagram (DFD), dan Entity Relationship Diagram (ERD). Aplikasi dikembangkan menggunakan PHP dengan framework Laravel dan MySQL sebagai basis data, serta diuji melalui black-box testing dan evaluasi usability dengan System Usability Scale (SUS). Hasil pengujian menunjukkan seluruh fungsi sistem berjalan sesuai kebutuhan pengguna, dengan skor SUS rata-rata 80 yang termasuk kategori Excellent. Dengan demikian, aplikasi yang dihasilkan dinilai efektif dalam mendukung pengelolaan laporan pengiriman barang secara digital, sekaligus meningkatkan kualitas pelayanan, akurasi data, dan efisiensi operasional. Penelitian ini juga dapat menjadi rujukan dalam pengembangan sistem informasi logistik pada perusahaan ekspedisi skala kecil dan menengah.
Mentoring and Training for the PPDB Process to Improve School Administration Services at SMK Bina Jaya Palembang Indah Rahma Sari; Amelia Anggraini; Bella Paramita; Anggoro Aryo Pramuditho; Ibnu Aqil
Mauve Journal De Leardu Vol. 2 No. 1 (2025): Mauve Journal De Leardu (MJDL)
Publisher : Generasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/mjdl.v2i1.174

Abstract

The New Student Admission Process (PPDB) is an important stage in maintaining the quality and integrity of educational institutions. This article discusses the implementation of socialization and training carried out at SMK Bina Jaya Palembang to increase the competence of the PPDB committee in carrying out its duties effectively and transparently. This activity aims to provide an understanding of PPDB procedures, strengthen the committee's technical skills, and ensure the process runs according to established operational standards. The methods used in this activity include delivering material, practical simulations, and group discussions to improve team coordination. The results of the activity showed an increase in the committee's understanding regarding PPDB stages, implementation of digital systems, and ability to handle administrative obstacles. This socialization also has a positive impact on creating a more structured, transparent and accountable PPDB process. By carrying out this activity, it is hoped that SMK Bina Jaya Palembang can strengthen public confidence in a more professional and quality admissions system for new students.
Pelatihan Simulasi Jaringan Sederhana Topologi Hybrid Menggunakan Cisco Packet Tracer 7.3 Amelia Anggraini; Indah Rahma Sari; Bella Paramita; Anggoro Aryo Pramuditho; Mahmud Mahmud
Jurnal Bersama Pengabdian Kepada Masyarakat (SAMAMAS) Vol. 1 No. 1 (2025): Maret 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/samamas.v1i1.237

Abstract

The development of information technology requires basic skills in understanding and managing computer networks, especially among students and the general public. However, hardware limitations are often an obstacle in the process of learning networks directly. To overcome this, this training activity was held with the aim of providing an understanding and basic skills regarding computer network simulation using hybrid topology through the Cisco Packet Tracer 7.3 application. The training method uses the Participatory Action Research (PAR) approach which actively involves participants in the process of identifying problems, planning, implementing, and evaluating. The results of the training showed that participants experienced an increase in understanding of network topology and were able to build hybrid network simulations independently. In addition, the use of Cisco Packet Tracer has proven effective as an interactive and applicable learning tool. With this training, it is hoped that participants will have the initial provisions to develop competencies in the field of computer networks, both for academic and professional needs. This activity also opens up opportunities for further training on a more complex and in-depth scale.
Co-Authors Abdullah, Zet Akhmad Sayuti Akhmad Sayuti Amelia Anggraini Amelia Anggraini Amelia Anggraini, Amelia Armiansyah, Rian Bella Paramita Bella Paramita Daniel Udjulawa Davizan, Serry Dorie P. Kesuma Farisi, Ahmad Hasan Pratama Putra Hasan Pratama Putra hendriansyah hendriansyah Ibnu Aqil Indah Rahma Sari Indah Rahma Sari Mahmud Mahmud Mahmud Mahmud Mahmud Mahmud Muhammad Ridho Ardiansyah Mulyati Mulyati Namas, Fernando Novita Sari Nurlista Iryanti Nyimas Maynisa Aulia Octavianus Chandra Paramita, Bella Putra, Hasan Pratama Rahma Sari, Indah S, Asiawatie Sabiah Apriyana Sabiah Apriyana Sari, Indah Rahma Sayuti, Akhmad Shahnawaz Ahmad Siswahyudianto Trianto, Nopendra Ubaidillah Ubaidillah Ubaidillah Ubaidillah