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All Journal Jurnal sistem informasi, Teknologi informasi dan komputer Prosiding Semnastek Proceeding of the Electrical Engineering Computer Science and Informatics JURNAL PENDIDIKAN TAMBUSAI Jurnal Riset Informatika Infotech: Journal of Technology Information Society: Jurnal Pengabdian Masyarakat Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat NUSANTARA: Jurnal Pengabdian Kepada Masyarakat ABDINE Jurnal Pengabdian Masyarakat SIENNA Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Dedication : Jurnal Pengabdian Masyarakat Jurnal Inovasi Komputer INTECH - Informatika Dan Teknologi
Mirza Sutrisno
Universitas Muhammadiyah Jakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Digital Transformation for MSMES: From Local to Global Priadi, Aryaguna Fadlurrahman; Alghifari, Abdul Hafizd; Fachrudin, Tedy; Amanullah, Muhammad Faiz; Mujiastuti, Rully; Sutrisno, Mirza; Meilina, Popy; Nurbaya Ambo, Sitti; Ardharani, Yana
Society : Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2025): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i2.542

Abstract

In the digital era, Micro, Small and Medium Enterprises (MSMEs) are required to adapt to technology to improve competitiveness in the global market. One effective strategy is the utilization of digital platforms for online product promotion. This webinar and workshop activity aims to provide MSME players with an understanding of the use of CapCut, Canva, and TikTok Shop as digital marketing tools. The webinar discussed the basic theory of digital marketing strategies, while the workshop provided hands-on practice in creating promotional content using the three platforms. Evaluation was conducted through pre-test and post-test to measure the improvement of participants' understanding. The results showed that 70% of participants experienced an increase in understanding, and 85% of participants were satisfied and very satisfied with the material presented. This activity proves that the utilization of digital technology can help MSMEs in increasing their visibility and market reach more broadly.
Python and Data Science: Building a Foundation with Practical Projects Abduzzhohir, Yasir; Saleh, Muhammad Raihan; Sunatun, Sunatun; Saputra, Agita Irvanda; Wahyudi, Ramzy Al Firza; Hendra, Hendra; Mujiastuti, Rully; Sutrisno, Mirza; Jumail, Jumail; Rosanti, Nurvelly
Society : Jurnal Pengabdian Masyarakat Vol. 4 No. 3 (2025): Mei
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i3.551

Abstract

In today's digital era, data has a crucial role in decision making. To increase public understanding, especially students, about Data Science, a webinar and online workshop titled “Python and Data Science: Building a Foundation with Practical Projects” through the Zoom Meeting Conference platform. This activity aims to provide a basic understanding of the concepts, benefits, and applications of Data Science in various industrial fields. Participants are invited to learn the use of Python in data analysis, and are given case study projects related to sales data analysis to apply the knowledge they have gained. This webinar and workshop activity was held on January 23, 2025, at 09.00 WIB which was attended by 40 participants from various institutions. The evaluation results show that participants expressed their satisfaction as indicated by the percentage of positive values in the feedback of 40% satisfied and 37% very satisfied with this activity.  In addition, there was an increase in participants' understanding of Data Science, with the Pre-Test average score increasing from 7.87% to 8.21% on the Post-Test.
Pelatihan Desain Web Responsif melalui Webinar dan Workshop sebagai Upaya Peningkatan Kompetensi Digital Peserta Zaky Yusuf Ajindra; Chantika Dian Anugrah; Muhammad Zaid Itqon; Akhmad Thauzi; Adrian Mustafa; Mirza Sutrisno; Rully Mujiastuti; Popy Meilina; Sitti Nurbaya Ambo; Jumail Jumail
Nusantara: Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 2 (2026): Mei : NUSANTARA Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v6i2.8268

Abstract

This community service activity aims to enhance participants' digital competency through responsive web design training conducted using integrated webinar and workshop methods. The background of this activity is based on the increasing need for adaptive web development skills across various devices to support digital personal branding. This activity involves university students and the general public and is conducted online utilizing modern communication platforms. The implementation method consists of preparation, implementation, and evaluation stages. In the implementation stage, participants attend webinar sessions to strengthen conceptual understanding of responsive web design principles, followed by workshop sessions that emphasize hands-on practice in website creation using HTML, CSS, and JavaScript. Evaluation is conducted through pre-tests and post-tests to measure program effectiveness. The results show a significant increase in participants' digital competency with an average score increase of 55.8%. These findings indicate that the integration of webinar and workshop methods is effective in improving participants' conceptual understanding and technical skills. This activity is expected to serve as a model for community service based on applicable and sustainable digital competency development.
Fast and Beautiful Web Development Using React and Tailwind Css Suhendar , Achmad; Razani , Muhammad Naufal; Sutowo , Muhammad Haidar Althaaf; Pratama , Nur Fauzta Putra; Darmawan , Zuhair Fakhriy Al Faarisi; Ambo , Sitti Nurbaya; Mujiastuti , Rully; Risanty , Rita Dewi; Sutrisno , Mirza
Dedication : Jurnal Pengabdian Masyarakat Vol 10 No 1 (2026)
Publisher : LPPM Universitas PGRI Argopuro Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31537/dedication.v10i1.3044

Abstract

The development of modern web technologies requires developers to build user interfaces that are interactive, responsive, and visually appealing in an efficient manner. However, beginner developers often encounter difficulties in managing code structure and interface design effectively. This webinar and workshop aimed to enhance participants’ understanding and skills in developing modern portfolio websites using React and Tailwind CSS. The activities were conducted online through webinar sessions and hands-on workshops (live coding), involving 26 participants. Evaluation was carried out using pre-tests and post-tests to measure learning improvement. The results indicated an increase in the average correct response rate from 77% in the pre-test to 91.6% in the post-test, representing a 14.6% improvement. In addition, participant feedback showed a high level of satisfaction, with 54.2% reporting being very satisfied and 33.3% satisfied. The output of this activity was a responsive portfolio website serving as the participants’ digital identity.
The Logic Behind Crud: Mengelola Alur Manipulasi Data di Laravel Hanifani , Fildzah Amalina; Salma , Aiva Nabilla; Ningsih , Indri Surya; Elnur , Irsyadi Hanif; Khanafi , Muhammad Almustofa; Mujiastuti , Rully; Sutrisno , Mirza; Risanty , Rita Dewi; Meilina , Popy; Ambo , Sitti Nurbaya; Rosanti , Nurvelly
Dedication : Jurnal Pengabdian Masyarakat Vol 10 No 1 (2026)
Publisher : LPPM Universitas PGRI Argopuro Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31537/dedication.v10i1.3061

Abstract

The Create, Read, Update, and Delete (CRUD) concept is one of the four basic operations in data management for web applications. However, there are still people, especially students and beginners in the field of information technology, who do not understand the CRUD workflow systematically, making it difficult for them to build web applications that are integrated with databases. This community service activity aims to improve participants' understanding and skills in applying CRUD logic using the PHP programming language and the Laravel framework. The implementation method was carried out through webinars to reinforce theoretical understanding and workshops for hands-on practice. The activity was conducted online and attended by 48 participants from universities. Evaluation was carried out through pre-tests, post- tests, and feedback questionnaires. The results of the activity showed an increase in the average test score of participants from 64 to 85 percent, an average increase of 32.8%. Meanwhile, the satisfaction level results showed that 39.6% agreed and 47.9% strongly agreed. Thus, this activity was able to improve the basic understanding and skills of web application data management.
Implementasi Case-Based Reasoning dalam Rekomendasi Pendidikan Montessori Anak Usia Dini Mirza Sutrisno; Asruddin
INTECH Vol. 6 No. 1 (2025): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v6i1.3022

Abstract

Pendidikan anak usia dini membutuhkan pendekatan yang adaptif terhadap karakteristik individu anak. Metode Montessori, yang menekankan kemandirian, eksplorasi sensorik, dan pembelajaran berbasis pengalaman, telah terbukti efektif secara holistik, namun implementasinya perlu disesuaikan dengan profil masing-masing anak. Penelitian ini mengembangkan sistem rekomendasi berbasis Case-Based Reasoning (CBR) untuk menentukan pendekatan Montessori yang paling sesuai. Sistem memanfaatkan basis kasus historis yang mencakup atribut seperti usia, minat sensorik, tingkat kemandirian, dan fokus belajar. Melalui perhitungan angka similaritas, sistem merekomendasikan model pembelajaran Montessori seperti Practical Situation, Reading & Writing, Initial Sensory, dan Arithmetic. Evaluasi menggunakan metode Confusion Matrix yang menunjukkan angka akurasi mencapai 86,7%. Hasil ini mengindikasikan efektivitas metode CBR dalam mendukung pengambilan keputusan pendidikan Montessori yang lebih personal dan berbasis data.
Blockchain-Based Preservation Framework for Network Forensic Evidence Integrity Mirza Sutrisno; Sunardi; Rusydi Umar
Sienna Vol 7 No 1 (2026): Sienna Volume 7 Nomor 1 Juli 2026
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v7i1.2377

Abstract

Network forensic investigations rely heavily on the integrity and traceability of Packet Capture (PCAP) files as primary digital evidence. Digital Forensic Research Workshop (DFRWS) implementations commonly employ centralized preservation mechanisms that remain vulnerable to unauthorized modification and provide limited provenance transparency. To address these limitations, this study proposes a blockchain-based preservation framework integrated into the preservation phase of the DFRWS model. The framework combines SHA-256 cryptographic hashing for integrity verification, blockchain-based provenance logging, and distributed ledger validation while maintaining off-chain evidence storage. Unlike many existing blockchain-based forensic frameworks that primarily emphasize provenance recording and chain-of-custody management, this study evaluates evidence preservation through an integrated validation approach consisting of controlled tampering simulation, cryptographic sensitivity analysis, and preservation latency measurement. Experimental evaluation using PCAP datasets representing attack and baseline traffic conditions demonstrated that unauthorized evidence modification was successfully detected through hash inconsistencies. Avalanche Effect analysis produced a value of 50.39%, confirming the strong cryptographic sensitivity of the SHA-256 mechanism to minimal data alteration. While SHA-256 enables reliable tampering detection, the integrated blockchain architecture provides tamper-resistant provenance recording, chain-of-custody traceability, and distributed verification of evidence integrity. The framework achieved an average preservation latency of 2.057 seconds within the experimental environment, providing preliminary evidence of feasibility for blockchain-assisted forensic logging under controlled conditions. Although no direct comparison with alternative preservation approaches was conducted, the findings provide a proof-of-concept validation and contribute empirical evidence regarding the potential of blockchain-supported provenance management to enhance trustworthiness and integrity assurance in network forensic workflows.
ANALISIS KERENTANAN APLIKASI WEB MODERN MENGGUNAKAN BLACK-BOX PENETRATION TESTING BERBASIS OWASP TOP 10:2025 Asruddin Rudi; Mirza Sutrisno; Ade Davy Wiranata; Anton Maulana Ibrahim
Infotech: Journal of Technology Information Vol 12, No 1 (2026): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v12i1.615

Abstract

Web application security has become a critical concern as cyber threats evolve in sophistication and frequency. This study analyzes vulnerabilities in modern web applications using the black-box penetration testing method based on the OWASP Top 10:2025 framework within an isolated environment. The research employs VulnApp, an intentionally vulnerable web application deployed as a controlled research target, tested using three open-source DAST tools: Nmap, Nikto, and manual exploitation techniques following stages of reconnaissance, scanning, exploitation, and reporting. Results indicate 24 verified vulnerabilities distributed across 8 of 10 OWASP Top 10:2025 categories, with the combination of tools achieving a Detection Rate (DR) of 83.3%, F1-Score of 0.889, and a Risk Score Composite (RSC) of 7.39, indicating a high-risk application profile. The highest severity findings were identified in Injection (A05, CVSS 9.8), Authentication Failures (A07, CVSS 8.8), and Broken Access Control (A01, CVSS 8.1). The isolated containerized environment proved effective as a reproducible and legally compliant research laboratory.
Prompt Strategy for Optimal AI Results Azzahra, Alya Rahmah; Rivaldy, Adrian; Nabilla, Naula; Shadiq, Muhammad Azril Naufal; Kyla, Idelia Fitri; Meilina, Popy; Mujiastuti, Rully; Sutrisno, Mirza; Rosanti, Nurvelly; Adharani, Yana
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2026): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/5kveke20

Abstract

The rapid development of artificial intelligence (AI) technology requires users to have the ability to compose effective instructions or prompts so that the output produced meets their needs. However, many users, especially students, do not yet understand prompting strategies optimally. Therefore, this community service activity was carried out in the form of a webinar and workshop entitled “Prompt Strategies for Optimal AI Results.” This activity aims to improve participants' understanding and skills in utilizing AI through prompting techniques such as Chain-of-Thought (CoT), Few-shot Prompting, Retrieval-Augmented Generation (RAG), ReAct, and Tree of Thoughts (ToT). The methods used in this activity included socialization, pre-testing, webinar material delivery, hands-on practice in the workshop session, post-testing, and evaluation through a feedback questionnaire. The evaluation results showed a significant increase in participants' understanding, marked by an increase in the average score from 78.06 in the pre-test to 100 in the post-test, or an increase of 28.1%. Additionally, participant satisfaction with the material, presenters, and activity implementation was very high. Thus, this activity proved effective in improving participants' literacy and competence in the optimal use of AI.
From Zero to AI: Educational Initiatives Through Webinars and Workshops on Developing Machine Learning Models Using TensorFlow Haq, Hafizh Umar; Mirza Sutrisno; Popy Meilina; Yana Adharani; Nurvelly Rosanti; Jumail; Kevin Arya Dandy; Muhammad Imam Najib; Anggi Rahmadillah; Miftahul Jannah; Rully Mujiastuti
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2026): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/3qq71h51

Abstract

The development of Artificial Intelligence (AI) and Machine Learning (ML) requires improved technological literacy and a basic understanding of practical applications. This study aims to introduce the concepts of AI and ML through the implementation of simple machine learning models using TensorFlow. The methods used include material delivery, model implementation practice, and evaluation through pre-tests, post-tests, and feedback questionnaires. The evaluation results show an increase in participants' understanding, marked by an increase in the average score from 76.76 on the pre-test to 80.91 on the post-test, or an increase of 5.41%. In addition, the feedback results showed a very high level of satisfaction, with 96% of participants giving positive ratings. This shows that the TensorFlow-based learning approach is effective in improving basic understanding and skills related to AI and ML.
Co-Authors Abdul Rahman Abduzzhohir, Yasir Abean, Mohammad Arief Ade Davy Wiranata Adharani, Yana Adrian Mustafa Afkarinah, Afni Izzah Ahmad Faiz Dermawan Aji, Irfan Pandu Ajinaya, Wisnu Selaguna Akhmad Thauzi Alghifari, Abdul Hafizd Alkodri, M. Nang Alriyanto, Abri Okta Amanullah, Muhammad Faiz Ambiyah, Muhammad Chairil Amili, Fadel Aminudin, Muhammad Andharani, Yana Andriansyah, Akbar Anggi Rahmadillah Anjani, Meisya Putri Annafi, Ananda Radhiyya Anton Maulana Ibrahim Apriliano, Yova Rezky Ardharani, Yana Asruddin Asruddin Rudi Asruddin, Asruddin Aullia, Mochammad Rizqi Azril Ferdiansyah Romadoni Azzahra, Alya Rahmah Bagus Kurniawan, Bagus Bintang, Reihan Aditya Permata Chantika Dian Anugrah Dalilah, Almira Fitri Darmawan , Zuhair Fakhriy Al Faarisi Dede Irawan Deni Mahdiana Dzulkarnain, Mulki Djenfik Elnur , Irsyadi Hanif Fachrudin, Tedy Fajri, Muhammad Ihsan Fakhul Jannah, Elsa Ananda Hanifah Faridzi, Salman Al Fauzan Azima Faza Shafa Azizah Filayati, Muhammad Albi Akbar Fizar, Bintang Al FJ, Elsa Ananda Hanjfah Gimnastiar, Nazar Habibi, Yusuf Habibie, Muhammad Fadhil Haderiansyah Haderiansyah Hakim, Muhammad Farizs Hanifani , Fildzah Amalina Haq, Hafizh Umar Haryanda, Muhammad Hermawan, Muhammad Luthfi Hidayat, Ragil Ibrahim, Anton Maulana Irawan, Doni Irsyadi Hanif Elnur Jefri Kusuma Rambe Jumail Jumail Jumail Jumail, Jumail Jundullah, Khalid Kevin Arya Dandy Khalid Jundullah Khamdan Budiarto Khanafi , Muhammad Almustofa Khoirudin Sidik Kurniawan, Bagas Kyla, Idelia Fitri Lenny Dwi Novitasari Maulana Faiz Maulana Saputra, Reza Ade Maulana, Hanif Maulana, Mirza Memanda, Freddy MIFTAHUL JANNAH Mochammad Gendry Afriansyah Muhammad Ajar Danu Wiratama Muhammad Daffa MUHAMMAD HASBI Muhammad Imam Najib Muhammad Ni’am Syukri Muhammad Taqi Wijdan Muhammad Zaid Itqon Muhammad Zikri Muhammad, Hilbram Mujiastuti , Rully Mustafa, Faizal Nabilla, Naula Nashiro, Muhamad Sultonan Nindya Putri, Azzahra Ningsih , Indri Surya Novranza, Rafi Nugraha, Septian Andhika Nurvelly Rosanti Nurvelly Rosanti, Nurvelly Nurwijayanti Popy Meilina Prasetio, Iqlal Wira Pratama , Nur Fauzta Putra Prayogo, Ikhsan Adi Priadi, Aryaguna Fadlurrahman Putra, Alif Naufal Teguh Putra, Meidi Kelana Nugroho Qardhawi, Nadif Yusuf Ramadhika, Gilang Razani , Muhammad Naufal Rifki Syarif Hidayat Rivaldy, Adrian Rizky Aditya, Fauzan Rizky Maulana, Rizky Rosanti , Nurvelly Rully Mujiastuti Rusydi Umar S, Muhamad Thirafi Qaedi Sabhan, Rifqi Baihaqi Sadam, El Faath Saleh, Muhammad Raihan Saleh, Oldi Alfani Sunan Salma , Aiva Nabilla Sandhi Alfianda Ghifari Saputra, Agita Irvanda Sari, Ririn Agustina Septyawan, Reihan Shadiq, Muhammad Azril Naufal Sherli Fadilah, Ridha Sitti Nurbaya Sitti Nurbaya Ambo Suhendar , Achmad Sunardi, Sunardi Sunatun, Sunatun Surahmat, Asep Sutowo , Muhammad Haidar Althaaf Syahputra, Maulana Taufik Hidayat Utomo Budiyanto Vivria, Muhammad Efendi Wahyudi, Ramzy Al Firza Zahran, Fikry Muhammad Zahro, Rahmita Zaky Yusuf Ajindra Zhuang, Tan Kelvin Zia Zia Zhuang, Tan Kelvin Zulfikar, Mohamad Rafli