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

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PENGOLAHAN DATA: PEMAHAMAN GEMPA BUMI DI INDONESIA MELALUI PENDEKATAN DATA MINING Faridzi, Salman Al; Faza Shafa Azizah; Mustafa, Faizal; Nindya Putri, Azzahra; Ramadhika, Gilang; Rizky Aditya, Fauzan; Sherli Fadilah, Ridha; Habibi, Yusuf; Sutrisno, Mirza; Jumail, Jumail; Dewi Risanty, Rita; Rosanti, Nurvelly
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 2 No. 1 (2024): Februari
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v2i1.506

Abstract

Gempa bumi merupakan bencana alam yang sering terjadi di Indonesia akibat interaksi lempeng tektonik. Indonesia terletak pada pertemuan empat lempeng tektonik dunia, yang menyebabkan aktivitas zona tumbukan dan patahan yang berpotensi memicu gempa bumi. Meskipun telah terjadi sejumlah peristiwa gempa bumi besar di Indonesia, prediksi gempa secara tepat waktu masih sulit karena kompleksitas geologi dan dinamika kerak bumi. Peningkatan pemahaman tentang perilaku geologi dan sistem peringatan dini menjadi kunci dalam mempersiapkan diri menghadapi ancaman gempa bumi di masa mendatang. Data mining adalah proses yang berguna untuk mengeksplorasi dan mencari nilai informasi kompleks yang tersimpan dalam basis data. Dengan menggunakan data mining, dampak atau akibat dari gempa bumi yang terjadi di Indonesia dapat dipelajari berdasarkan data gempa bumi yang telah terjadi sebelumnya. Maka, dilakukanlah webinar dan workshop tentang penggunaan data mining untuk memahami pola gempa bumi di Indonesia selama 10 tahun terakhir. Webinar membahas dasar-dasar data mining dan fakta gempa yang terjadi di Indonesia, sementara workshop membahas pengolahan dan visualisasi data gempa bumi menggunakan bahasa Python dan Google Colab. Workshop ini terbatas pada pengolahan dan visualisasi data csv gempa bumi saja. Kegiatan webinar dan workshop dilaksanakan pada tanggal 29 Januari 2024 pukul 13.00 WIB. Hasil evaluasi menunjukkan bahwa peserta menyatakan kepuasan mereka terhadap acara tersebut, dengan sebagian besar peserta memberikan nilai positif terhadap penyampaian materi, kesesuaian materi dengan tema, kejelasan informasi, serta kualitas audio visual selama acara berlangsung.
WEBINAR dan WORKSHOP Front-End Fundamentals: A Beginner's Guide to Web Development for Junior Programmer Kurniawan, Bagas; Zia Zhuang, Tan Kelvin; Jundullah, Khalid; Mujiastuti, Rully; Adharani, Yana; Sutrisno, Mirza
ABDINE: Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2024): ABDINE : Jurnal Pengabdian Masyarakat
Publisher : Sekolah Tinggi Teknologi Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52072/abdine.v4i2.913

Abstract

Webinar dan workshop "Front-End Fundamentals: A Beginner's Guide to Web Development for Junior Programmer" bertujuan untuk memperkenalkan dasar-dasar pengembangan web front-end kepada pemula. Acara ini dilaksanakan secara daring melalui Zoom pada 19 Juli 2024 dan dihadiri oleh peserta dari berbagai universitas. Kegiatan dimulai dengan pengenalan HTML, CSS, dilanjutkan dengan sesi tanya jawab, serta diakhiri dengan workshop praktis di mana peserta membangun halaman web sederhana menggunakan Visual Studio Code. Evaluasi melalui kuesioner menunjukkan bahwa 55,6% peserta sangat setuju, 22,2% setuju, dan 22,2% cukup setuju bahwa materi yang disampaikan relevan. Sebelum acara, rata-rata skor pretest peserta adalah 78,7, yang meningkat secara signifikan menjadi 91,82 setelah acara, menandakan peningkatan pemahaman yang substansial. Secara keseluruhan, acara ini berhasil memberikan pemahaman mendalam tentang pengembangan web front-end, baik dari segi teori maupun praktik.
Create Your Digital Identity: Bangun Portofolio Keren Dengan Bootstrap Hidayat, Ragil; Bintang, Reihan Aditya Permata; Irawan, Doni; Abean, Mohammad Arief; Filayati, Muhammad Albi Akbar; Sutrisno, Mirza; Mujiastuti, Rully; Adharani, Yana; Rosanti, Nurvelly; Ambo, Sitti Nurbaya
Dedication : Jurnal Pengabdian Masyarakat Vol 9 No 1 (2025): (In Progress)
Publisher : LPPM Universitas PGRI Argopuro Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31537/dedication.v9i1.2269

Abstract

Di era digital yang semakin maju, mempunyai identitas digital menjadi kebutuhan penting, terutama bagi mahasiswa. Salah satu cara untuk membangun identitas digital adalah dengan membuat portofolio berbasis website, dengan menggunakan framework sebagai bantuan dalam membangun portofolio website, seperti framework Bootstrap. Penulis dan tim mengadakan kegiatan mengenai membagun identitas digital dengan judul “Create Your Digital Identity: Bangun Portofolio Keren dengan Bootstrap”. Kegiatan ini dilaksanakan dengan metode pemaparan materi dengan webinar dan dilanjutkan dengan pelaksanaan praktik dengan workshop. Kepuasan peserta ditentukan dengan menggunakan kuesioner. Peserta memberikan respon positif terhadap pembicara dan materi yang disampaikan. Hasil dan diskusi menunjukkan bahwa kegiatan ini berhasil dibuktikan dengan partisipasi sebanyak 60 peserta dari berbagai lembaga. Peserta juga menyelesaikan Pre-Test dan Post-Test yang menunjukkan pemahaman yang baik terhadap materi tersebut. Feedback yang didapatkan dari peserta adalah 47,5 merasa puas dan 52,5% merasa sangat puas dengan kegiatan ini.
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.
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.
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.
Game Development With Python: Let’s Build a Simple Games! Mochammad Gendry Afriansyah; Sandhi Alfianda Ghifari; Muhammad Taqi Wijdan; Rifki Syarif Hidayat; Muhammad Ni’am Syukri; Nurvelly Rosanti; Mirza Sutrisno; Sitti Nurbaya Ambo; Yana Adharani; Popy Meilina
Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 2 (2025): Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat
Publisher : Faculty of Cultural Studies, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.gramaswara.2025.005.02.05

Abstract

The development of technology opens up opportunities for individuals to develop new skills, including in the increasingly popular game industry. To provide a basic understanding of game development, a Webinar and Workshop entitled “Game Development With Python: Let's Build a Simple Game!”. This activity consists of material presentation sessions in the Webinar and hands-on practice in the Workshop. Evaluation through questionnaires showed positive responses to the presenters and the material presented. Of the 37 participants who participated, the Pre-Test and Post-Test results showed an increase in understanding with an average initial score of 67.3% which increased to 89.4%. A total of 67.6% of participants expressed very satisfied, while 32.4% were satisfied. These results show that this activity succeeded in increasing participants' understanding and skills in developing simple games using Python, as well as making a positive contribution to students and the general public.
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.
Aplikasi FLORYS : Deteksi Kesehatan Tanaman Hias Menggunakan Model YOLOv8 Aji, Irfan Pandu; Mujiastuti, Rully; Azima, Fauzan; Sutrisno, Mirza
Prosiding Semnastek PROSIDING SEMNASTEK 2025
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tanaman Hias kerap kali digunakan sebagai penghias rumah, kantor, dan sebagainya karena keindahannya. Namun banyak orang yang memiliki tanaman hias merasa kesulitan untuk merawatnya dengan baik karena minimnya pengetahuan tentang kondisi kesehatan tanaman hias dan cara merawatnya. Untuk mengatasi masalah ini, peneliti melakukan penelitian dengan membuat sebuah aplikasi berbasis android bernama Florys. Tujuannya adalah untuk membantu pemilik tanaman hias merawat tanamannya agar lebih sehat yang dapat dianalisis melalui foto atau hasil pemindaian tanaman, serta memberikan saran perawatannya. Metode yang digunakan adalah AI Project Cycle. Dimulai dengan pengumpulan dataset beranotasi dari platform Kaggle dan Roboflow, pelatihan model deteksi serta evaluasi performa model dengan menggunakan metrik precision, recall, dan mean Average Precision. Hasil penelitian menunjukkan bahwa model YOLOv8 mampu mendeteksi berbagai jenis penyakit tanaman hias dengan tingkat precision mencapai 73%, menunjukkan akurasi deteksi yang cukup tinggi. Model telah diuji dengan dua skenario yaitu untuk deteksi tanaman hias dalam kondisi sakit dan sehat. Pada pengujian deteksi tanaman sakit, model menghasilkan keluaran yang konsisten dengan tingkat kepercayaan tinggi, yang divalidasi dengan rata-rata hasil prediksi dikalikan faktor pengujian sebesar 0.5. Sedangkan untuk deteksi tanaman sehat, model menunjukkan hasil yang konsisten pula dengan faktor pengujian sebesar 0.8. Kedua pengujian ini membuktikan bahwa model memiliki kapabilitas dalam mengidentifikasi kondisi tanaman dengan akurat dan dapat memberikan rekomendasi perawatan yang tepat kepada pengguna.
Introduction to Digital Forensics: Educational Initiatives Through Webinars And Workshops on Recovering Lost Files in the Windows Operating System Saleh, Oldi Alfani Sunan; Maulana Saputra, Reza Ade; Maulana, Rizky; Haryanda, Muhammad; Mujiastuti, Rully; Sutrisno, Mirza; Hasbi, Muhammad; Adharani, Yana; 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.v4i5.629

Abstract

A webinar and workshop titled "Introduction to Digital Forensics" was held online on July 12, 2025, to improve public understanding of digital data security. Twenty participants attended the event, which included both a pre-test and a post-test. Results showed an increase in participant understanding, with scores on volatile data increasing from 73.7% to 88.2%, on non-volatile data from 72.2% to 82.4%, and on the definition of digital forensics from 84.2% to 88.2%. Furthermore, participant satisfaction was high, with 60% scoring excellent and 30% scoring good. This event was deemed successful in providing a basic understanding of digital forensics and raising awareness of the importance of data protection in the digital age.
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 Apriliano, Yova Rezky Ardharani, Yana Asruddin Asruddin 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 Deni Mahdiiana 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 Haderiansyah Haderiansyah Hakim, Muhammad Farizs Hanifani , Fildzah Amalina Haq, Hafizh Umar Haryanda, Muhammad Hendra Hendra 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 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 Sunatun, Sunatun Surahmat, Asep Sutowo , Muhammad Haidar Althaaf Syahputra, Maulana Taufik Hidayat 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