Article Per Year (5 Year)
p-Index From 2020 - 2025
2.667
P-Index
This Author published in this journals
All Journal Jurnal sistem informasi, Teknologi informasi dan komputer Prosiding Semnastek Society: Jurnal Pengabdian Masyarakat ABDINE Jurnal Pengabdian Masyarakat Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Dedication : Jurnal Pengabdian Masyarakat INTECH (Informatika dan Teknologi)
Sutrisno, Mirza
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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

Found 18 Documents
Search

 1   2 
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.
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.
Design Faster, Code Smarter: Web Design With SASS Hidayat, Taufik; Anjani, Meisya Putri; Afkarinah, Afni Izzah; Aullia, Mochammad Rizqi; Mujiastuti, Rully; Nurbaya Ambo, Sitti; Sutrisno, Mirza; 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.v4i5.630

Abstract

The "Design Faster, Code Smarter: Web Design With SASS" webinar and workshop, held on July 16, 2025, successfully educated participants on modern web design using SASS. This activity was implemented to address the challenges of managing traditional CSS code, which tends to be repetitive, difficult to maintain, and prone to errors in large-scale projects. SASS was chosen as the solution due to its dynamic, structured, and modular approach to writing CSS, offering features such as variables, functions, and mixins that significantly improve development efficiency. This community service activity employed a descriptive quantitative method, utilizing a survey approach through pre- and post-test questionnaires, as well as feedback forms, to measure participants' understanding. The 21 participants were students from the Informatics Engineering program at the University of Muhammadiyah Jakarta. A pre-test assessed initial knowledge, followed by a post-test and feedback questionnaire after the workshop. The workshop also provided hands-on coding experience, guiding participants in creating landing pages using Visual Studio Code and Figma designs. The post-test and feedback results revealed high participant satisfaction and a significant increase in understanding of SASS concepts. The percentage of correct answers to post-test questions ranged from 78.9% to 89.5%. Furthermore, 89.5% of participants stated that the material was clear (21.1% strongly agreed, 68.4% agreed), and 89.5% were satisfied with the overall event (21.1% felt very good, 68.4% good). This initiative successfully demonstrated that hands-on training effectively improves skills in modern web development and underscores the importance of continuing education programs to further enhance participants' SASS skills.
Laravel Api Masterclass: Autentikasi, Role-Based Access and Crud Testing Apriliano, Yova Rezky; Azima, Fauzan; Zahran, Fikry Muhammad; Zikri, Muhammad; Risanty, Rita Dewi; Sutrisno, Mirza; Mujiastuti, Rully; Nurbaya Ambo, Sitti; Ardharani, Yana
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.v4i5.632

Abstract

The latest developments in web technology require mastery in the development of well-planned and secure APIs as a foundation for integrating various digital systems. However, many new developers have difficulty in understanding the basic principles and practices of creating web-based APIs. To fulfil this need, the service team organised an event entitled "Laravel API Masterclass: Authentication, Role-based Access, and CRUD Testing" which aims to introduce the basics of API development using the Laravel framework to participants with various backgrounds. This activity was organised in the form of Webinars and Workshops, which included the delivery of theoretical material on API concepts, Laravel project structure, and role-based authentication and access control, followed by hands-on practical sessions from setting up to testing APIs using Postman. Through this programme, participants are expected to build a strong foundation for creating APIs that meet industry standards and are ready to be applied in small to medium-sized web application development.
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.
Implementasi Case-Based Reasoning dalam Rekomendasi Pendidikan Montessori Anak Usia Dini Sutrisno, Mirza; Asruddin, 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

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.
Co-Authors Abdul Rahman Abduzzhohir, Yasir Abean, Mohammad Arief Ade Davy Wiranata Adharani, Yana Afkarinah, Afni Izzah Aji, Irfan Pandu Alghifari, Abdul Hafizd Alkodri, M. Nang Amanullah, Muhammad Faiz Ambo, Siti Nurbaya Amili, Fadel Andharani, Yana Andriansyah, Akbar Anjani, Meisya Putri Apriliano, Yova Rezky Ardharani, Yana Asruddin, Asruddin Aullia, Mochammad Rizqi Bintang, Reihan Aditya Permata Dede Irawan Dewi Risanty, Rita Dzulkarnain, Mulki Djenfik Fachrudin, Tedy Fakhul Jannah, Elsa Ananda Hanifah Faridzi, Salman Al Fauzan Azima Faza Shafa Azizah Filayati, Muhammad Albi Akbar Fizar, Bintang Al Gimnastiar, Nazar Habibi, Yusuf Habibie, Muhammad Fadhil Haryanda, Muhammad Hendra Hendra Hidayat, Ragil Ibrahim, Anton Maulana Irawan, Doni Jumail, Jumail Jundullah, Khalid Kurniawan, Bagas Maulana Saputra, Reza Ade Memanda, Freddy MUHAMMAD HASBI Muhammad Zikri Mustafa, Faizal Nindya Putri, Azzahra Nurbaya Ambo, Sitti Nurvelly Rosanti, Nurvelly Popy Meilina Priadi, Aryaguna Fadlurrahman Qardhawi, Nadif Yusuf Ramadhika, Gilang Risanty, Rita Dewi Rizky Aditya, Fauzan Rizky Maulana, Rizky Rully Mujiastuti Saleh, Muhammad Raihan Saleh, Oldi Alfani Sunan Saputra, Agita Irvanda Sari, Ririn Agustina Sherli Fadilah, Ridha Sitti Nurbaya Sunatun, Sunatun Surahmat, Asep Taufik Hidayat Vivria, Muhammad Efendi Wahyudi, Ramzy Al Firza Zahran, Fikry Muhammad Zahro, Rahmita Zia Zhuang, Tan Kelvin