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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 SIENNA Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Dedication : Jurnal Pengabdian Masyarakat Kenduri: Jurnal Pengabdian Dan Pemberdayaan Masyarakat Jurnal Inovasi Komputer INTECH - Informatika Dan Teknologi ABDINE :Jurnal Pengabdian Masyarakat Journal of Nexural Intelligence
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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Boost Your Digital Portfolio: From Linkedin Profile to Github Repository Fizar, Bintang Al; Fakhul Jannah, Elsa Ananda Hanifah; Zahro, Rahmita; Vivria, Muhammad Efendi; Sutrisno, Mirza; Adharani, Yana; Mujiastuti, Rully; Rosanti, Nurvelly
Society : Jurnal Pengabdian Masyarakat Vol. 4 No. 5 (2025): September
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i5.683

Abstract

In the modern era, having a digital portfolio is an important requirement for students and aspiring professionals in the field of technology. To support this, LinkedIn profile management and project publication to GitHub are strategies that can be applied. The activity themed "Boost Your Digital Portfolio: From LinkedIn Profile to GitHub Repository" was held to equip participants with this understanding and skills. The activity consisted of two sessions: a webinar that discussed the preparation of LinkedIn profiles and the use of GitHub as a medium for project publication, and a workshop that focused on developing a template-based portfolio website and publication to the GitHub repository. Evaluation was conducted through a feedback questionnaire. The results showed that 47.9% of participants were satisfied and 48.1% were very satisfied. This shows that the majority of participants gave a positive response to the material, resource persons, and the overall implementation of the activity.
Introduction to Web Security: Detecting XSS with Dalfox and Paramspider Maulana, Mirza; Hermawan, Muhammad Luthfi; Kurniawan, Bagus; Ajinaya, Wisnu Selaguna; Putra, Alif Naufal Teguh; Mujiastuti, Rully; Sutrisno, Mirza; Meilina, Popy; Risanty, Rita Dewi; Ambo, Sitti Nurbaya
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Perkembangan teknologi selain menimbulkan dampak positif, juga menimbulkan dampak negatif. Kejahatan siber adalah salah satu ancaman yang menimbulkan banyak kerugian khususnya mengenai data diri seseorang. Untuk itu, perlu adanya pemahaman terkait keamanan siber oleh khalayak umum. Salah satu hal yang bisa dilakukan adalah dengan mengadakan webinar dan workshop mengenai keamanan siber. Penulis dan tim mengadakan kegiatan pengenalan mengenai keamanan siber dengan mengambil judul “Introduction To Web Security : Detecting XSS With Dalfox And Parampsider”. Kegiatan ini dilaksanakan dengan metode pemaparan materi dengan Webinar dan dilanjutkan dengan Workshop. Dilakukan evaluasi kepuasan peserta melalui kuisioner yang menunjukkan respon positif terhadap pemateri dan materi yang disampaikan. Hasil dan pembahasan menunjukkan bahwa kegiatan berjalan sukses, dibuktikan dengan partisipasi dari 45 peserta dari berbagai instansi. Peserta juga mengisi Pre-Test dan Post-Test yang menunjukkan pemahaman yang baik terhadap materi. Feedback yang didapatkan dari peserta adalah 70,5% merasa puas dan 29,5% merasa sangat puas dengan kegiatan ini.
Digital Forensics on Virtual Operating Systems: Image and Memory File Acquisition as Evidence Syahputra, Maulana; Zulfikar, Mohamad Rafli; Maulana, Hanif; Hakim, Muhammad Farizs; Aminudin, Muhammad; Sutrisno, Mirza; Hendra, Hendra; Risanty, Rita Dewi; Meilina, Poppy; Mujiastuti, Rully
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Teknologi yang berkembang pesat memiliki dampak positif dan negatif, tergantung pada penggunaannya. Di satu sisi, teknologi memudahkan aktivitas individu atau kelompok, sementara di sisi lain, penyalahgunaannya dapat menyebabkan kejahatan dunia maya (cybercrime). Hal ini mendorong peningkatan sistem keamanan sebagai respons terhadap meningkatnya cybercrime. Dalam konteks ini, teknologi informasi memegang peran penting dalam pertumbuhan ekonomi global. Selain itu, meningkatnya penggunaan sistem operasi virtual menuntut pendekatan forensik digital yang lebih canggih, terutama dalam pengumpulan bukti seperti citra dan file memori. Program ini memberikan edukasi dan pelatihan melalui webinar dan workshop kepada 56 mahasiswa yang tertarik pada keamanan siber, dengan fokus pada teknik akuisisi bukti digital. Edukasi ini bertujuan meningkatkan pemahaman peserta terhadap integritas bukti dan metode yang tepat dalam forensik digital, dengan hasil menunjukkan peningkatan rata-rata pemahaman sebesar 30% pada materi yang diajarkan. Nilai rata-rata pre-test adalah 88.64%, sedangkan nilai rata-rata post-test adalah 77.95%. Hasil ini menggarisbawahi pentingnya pendidikan berkelanjutan dalam forensik digital untuk menghadapi tantangan yang berkembang dalam dunia maya.
Chatbot Insight: One Day to Get to Know About Conversational AI Faridzi, Salman Al; Novranza, Rafi; Ambiyah, Muhammad Chairil; Fajri, Muhammad Ihsan; Muhammad, Hilbram; Rosanti, Nurvelly; Sutrisno, Mirza; Andharani, Yana
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Chatbot adalah layanan publik yang memiliki kemampuan dalam menjawab pertanyaan dan memberikan solusi yang lebih singkat daripada manusia itu sendiri. Penggunaan chatbot ini cukup beragam bentuknya dan dengan chatbot ini bisa membantu manusia dalam mendapatkan suatu informasi secara cepat. Dengan demikian, diadakannya webinar serta workshop tentang pengenalan dan bagaimana pembuatan dari chatbot dengan memakai Google Collab sebagai alat dan bahasa python sebagai bahasa pemrogramannya. Kegiatan webinar dan workshop ini dilaksanakan pada tanggal 18 Juli 2024, pukul 13.00 WIB yang diikuti sekitar 35 - 40 peserta. Hasil evaluasi menunjukkan bahwa peserta menyatakan kepuasan mereka dengan ditunjukkan besaran persentase nilai postif pada feedback sebesar 52% puas dengan kegiatan dan 44% sangat puas dengan kegiatan ini. Selain itu, peserta juga menyatakan 100% setuju pada kesesuaian materi yang diberikan.
Webinar & Workshop Optimizing Digital Information: Data Analyst & Web Developer Synergy Prayogo, Ikhsan Adi; Alriyanto, Abri Okta; Sabhan, Rifqi Baihaqi; FJ, Elsa Ananda Hanjfah; S, Muhamad Thirafi Qaedi; Rosanti, Nurvelly; Mujiastuti, Rully; Sutrisno, Mirza; Adharani, Yana
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Dalam era digital, sinergi antara Data Analyst dan Web Developer sangat penting untuk mengoptimalkan informasi digital. Workshop ini memperkenalkan konsep dasar dan teknik dalam kedua bidang serta menunjukkan bagaimana kolaborasi mereka menghasilkan solusi yang lebih efektif dan efisien. Survei yang diisi 28 peserta webinar dan workshop, mayoritas dari Teknik Informatika Universitas Muhammadiyah Jakarta. Sebanyak 100% peserta menjawab benar tentang tugas Data Analyst, pentingnya data, dan front-end development. Namun, pada pertanyaan tentang fungsi HTML, 92,6% (25 dari 27) menjawab benar, dan pada pertanyaan tentang tujuan visualisasi data, 96,4% (27 dari 28) menjawab dengan tepat. Hal ini menunjukkan pemahaman yang baik secara umum, meskipun masih terdapat sedikit ruang untuk peningkatan pada beberapa aspek.
Basic Introduction to NLP: Text and Language Analysis with Python Sadam, El Faath; Annafi, Ananda Radhiyya; Prasetio, Iqlal Wira; Nashiro, Muhamad Sultonan; Septyawan, Reihan; Sutrisno, Mirza; Risanty, Rita Dewi; Ambo, Sitti Nurbaya; Adharani, Yana; Mujiastuti, Rully
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Natural Language Processing (NLP) telah menjadi bidang penting dalam komputasi modern, dengan fokus pada interaksi antara bahasa manusia dan komputer. Webinar dan workshop "Pengenalan Dasar NLP: Analisis Teks dan Bahasa dengan Python" dilaksanakan pada 18 Juli 2024 secara daring, dihadiri oleh 35 peserta. Kegiatan ini meliputi pengenalan tentang NLP, demonstrasi penggunaan Python untuk analisis teks, dan sesi praktik dengan Google Colab. Hasil pre-test menunjukkan bahwa 70,4% peserta memiliki pengetahuan awal yang benar, meningkat menjadi 81,8% pada post-test. Feedback dari 44 peserta menunjukkan tingkat kepuasan yang tinggi, 100% peserta setuju bahwa materi yang disampaikan sesuai dan terstruktur dengan baik, narasumber kompeten, dan kualitas teknis kegiatan baik. Workshop ini berhasil meningkatkan pemahaman peserta tentang NLP, teknik pra-pemrosesan data teks, dan penggunaan Python dalam analisis teks bahasa. Kesimpulannya, kegiatan ini efektif dalam memperkenalkan NLP dan meningkatkan keterampilan analisis teks peserta menggunakan Python.
Step Into a New Dimension of the Android App Development World for Beginners Azima, Fauzan; Memanda, Freddy; Habibie, Muhammad Fadhil; Qardhawi, Nadif Yusuf; Gimnastiar, Nazar; Mujiastuti, Rully; Sutrisno, Mirza; Meilina, Popy; Nurbaya Ambo, Sitti; Adharani, 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.v4i2.526

Abstract

Technological developments in the field of mobile applications have opened up many opportunities in various sectors. However, beginners often face obstacles due to a lack of basic knowledge about Android app development, so it is important for them to get a comprehensive and easy-to-understand education. In this context, the author and team organised an event titled “Step Into A New Dimension Of The Android App Development World For Beginners” with the aim of introducing the basics of Android app development to beginners with a structured approach. The programme was implemented through Webinars and Workshops, which included exposure to basic concepts to hands-on practice in creating simple applications. The evaluation results showed a positive response from 62 participants who came from various backgrounds, with 68% expressing satisfaction and 32% very satisfied with the implementation of this activity. In addition, the Pre-Test and Post-Test results showed an increase in participants' understanding of Android application development. This activity succeeded in providing a strong foundation for beginners to enter the world of Android application development.
Utilization of Machine Learning for Property Price Segmentation and Prediction Andriansyah, Akbar; Dzulkarnain, Mulki Djenfik; Afkarinah, Afni Izzah; Amili, Fadel; Ramadhika, Gilang; rosanti, Nurvelly; Ambo, Siti Nurbaya; Andharani, Yana; Sutrisno, Mirza
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.v4i2.537

Abstract

Advances in digital technology have encouraged the utilization of artificial intelligence, especially machine learning, in various sectors, including property price analysis. However, there are still many people who do not understand the basic concepts of this technology, so structured and applicable education is needed. To answer this challenge, an activity entitled “Utilization of Machine Learning for Property Price Segmentation and Prediction” was held which aimed to introduce and train participants in the application of machine learning to predict property prices. This activity consists of two main parts, namely webinars and workshops. The webinar focused on introducing the concepts of artificial intelligence, machine learning, and AI Project Cycle as the main method in analyzing house prices. Meanwhile, the workshop provided hands-on training to participants in building prediction models using Google Colab. This activity was carried out through a series of stages, starting from socialization, preparation of materials, pre-test to measure initial understanding, educational and practical sessions, to evaluation through post-test and filling in participant feedback. A total of 39 participants from various backgrounds participated in this activity. The evaluation showed that 38.7% of participants were satisfied, while 51.6% were very satisfied with the program. In addition, the post-test results showed a significant increase in understanding compared to the pre-test results. Based on these results, this activity proved to be successful in providing new insights into the application of machine learning in property price prediction and equipping participants with practical skills that can be applied in the real world.
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.
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 Amar Triadi 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 Asrudin 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 Fadli Indra Guci 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 Ajar Danu Wiratama Muhammad Almustofa Khanafi Muhammad Daffa Muhammad Fikri Arrayan Muhammad Haidar Althaaf Sutowo 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