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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.
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.
Introduction to Networking Infrastructure on Cisco Packet Tracer: Routing a Home-to-Home Network to a Central Server Syahrul Al Habib; Rahmat Fajrial Azim; Muhammad Rizqi Raihan Firdaus; Diana Nur Haliza; Muhammad Izzudin Rosadi; Sitti Nurbaya Ambo; Yana Adharani; Nurvelly Rosanti; Rully Mujiastuti
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.2025.005.02.04

Abstract

Lack of understanding about computer networks and routing configurations poses a challenge for students and the general public interested in technology. To address this, a Webinar and Workshop titled “Introduction to Networking Infrastructure on Cisco Packet Tracer: Routing a Home-to-Home Network to a Central Server” was held. The event aimed to provide theoretical and practical knowledge of computer networks and routing simulations using Cisco Packet Tracer. The Webinar covered basics such as network types, IP addresses, and an introduction to Cisco Packet Tracer, while the Workshop focused on hands-on practice. Evaluation revealed a significant improvement in participants' understanding, with average Pre-Test scores rising from 70% to 90% in the Post-Test. Attended by 40 participants from various institutions, 95% expressed satisfaction with the material and presenter delivery. The activity successfully enhanced participants' knowledge and skills in computer networking.
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.
PERBANDINGAN METODE MACHINE LEARNING UNTUK SENTIMEN ANALISIS REVIEW PENJUALAN PRODUK Reza, Muhammad; Dores, Ardiansyah; Ambo, Sitti Nurbaya; Meilina, Popy
Jurnal Sistem Informasi, Teknologi Informatika dan Komputer Volume 15 No 2, Januari Tahun 2025
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/justit.15.2.362 – 372

Abstract

Toko online atau e-commerce menurut Moossa Giant dan Samuel Ikate adalah operasi bisnis yang dilakukan secara dunia maya atau online. Pada saat pandemi di tahun 2020 sampai Mei 2023 kegiatan masyarakat dibatasi masyarakat membeli barang di toko online agar tidak terkena virus corona, akan tetapi calon konsumen membeli barang melihat ulasan pada barang yang ingin mereka tuju apakah barang yang mereka beli bagus atau pengirimannya lambat. Salah satu toko online yang memiliki ulasan komentar pelanggan yang sudah membeli barang sebagai petunjuk calon konsumen untuk membeli atau tidak, maka peneliti melakukan analisis sentimen terhadap ulasan konsumen membeli barang di produk elektronik dan produk pakaian, data ulasan konsumen dikumpulkan dari data elektronik sebanyak 925 data, dan data pakaian sebanyak 1575 data, setelah mengumpulkan data dilakukan preprocessing, pembobotan kata, pemodelan dengan supervised learning, yaitu naives bayes, decision tree, k nearest neighbor,  melakukan berbagai skenario dengan pembagian data dari 10% data uji 90% data latih, 20% data uji 80% data latih, 30% data uji 70% data latih, 40% data uji 60% data latih. Hasil terbaik pengujian dengan data pakaian menggunakan decision tree dengan split data 10% data uji dan 90% data latih menghasilkan hasil akurasi 66%, recall 66%, dan precision 65%, hasil terbaik pengujian dengan data elektronik menggunakan decision tree dengan split data 40% data uji dan 60% data latih menghasilkan hasil akurasi 66%, recall 66%, dan precision 65%
Chatbots Made Easy: A Practical Workshop on Generative AI Aullia, Mochammad Rizqi; Fadillah, Muhammad Daffa; Umam, Khoirul; Septiana, Dimas; Rahmawati Gunawan, Alfiana; Nurbaya Ambo, Sitti; Rosanti, Nurvelly; Ardhani, Yana; Jumail, Jumail
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.v4i3.548

Abstract

Chatbots powered by Generative AI have become a rapidly evolving technological innovation, enabling users to interact with AI-based systems in a more natural way. However, the implementation of these chatbots still faces many challenges, especially for beginners who lack a deep technical background. This study aims to develop a more accessible and understandable approach for those new to Generative AI. Through webinars and workshops, participants were introduced to the fundamentals of language models, the use of tools such as Google Colab, as well as various challenges and opportunities in AI chatbot development. Some of the main obstacles encountered included complex materials, limited access to data and computational resources, and varying levels of understanding among participants. Nevertheless, these activities provided beginners with the opportunity to grasp the basics of Generative AI and even develop their own chatbots. With a more practical and inclusive approach, this study contributes to introducing Generative AI-based chatbot technology to a broader audience. Evaluation results showed positive feedback from 77 participants from diverse backgrounds, with 51.9% stating they were very satisfied, 37.7% satisfied, and 10.4% neutral. Additionally, Pre-Test and Post-Test results indicated an improvement in participants' understanding of building simple chatbots. This initiative successfully provided a strong foundation for beginners to enter the field of Artificial Intelligence, particularly Generative AI
APLIKASI ELECTRONIC SIGNATURE (eSign) DENGAN QR-CODE PADA PROGRAM STUDI TEKNIK INFORMATIKA UMJ BERBASIS WEB Zein, Risa Azzahra; Meilina, Popy; Dores, Ardiansyah; Ambo, Sitti Nurbaya
Jurnal Sistem Informasi, Teknologi Informatika dan Komputer Vol 15 No 3 (2025): Volume 15 No 3, Mei Tahun 2025
Publisher : Universitas Muhammadiyah Jakarta

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

Abstract

Currently, the use of electronic signature is something that is often done, including in the academic realm at universities. The use of electronic signatures in the Informatics Engineering Study Program at Muhammadiyah University of Jakarta is still not computerized, starting from the application process it is still carried out on various platforms and the signing process uses separate software so there is no system or application that can be used. organize the process. The aim of designing this electronic signature application is to facilitate the electronic signing process within the scope of the Information Engineering Study Program, Muhammadiyah University of Jakarta, so that the submission and signing process can be carried out quickly in one application and the authenticity of the signature on which the document is signed can be proven to be genuine. The data collection methods used were literature studies, interviews and observations. The development method used is the Waterfall Method, where software development follows linear and sequential steps, thereby creating a structured and organized approach. Testing of the electronic signature application is carried out by carrying out black box testing and after testing it can be concluded that the application can run well and the electronic signature process can be more effective and efficient. Keywords: electronic signature, Waterfall Method, application, effective and efficient
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.
Accelerating & Optimizing: Making Organization Website Using React.js & Node.js Maulana, Fikri Naufal; Pebriano Nurba, Putra; Rizky, Muhammad; Hendra, Hendra; Adharani, Yana; Rosanty, Nurvelly; Nurbaya Ambo, Sitti
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.v4i5.657

Abstract

In the digital transformation era, many local and student organizations still face issues related to the lack of professional websites, low digital visibility, and limited IT personnel. This community service project aimed to support these organizations by accelerating and optimizing the development of organizational websites using React.js for front-end interface creation and Node.js as the server-side runtime. Through a series of workshops and technical mentoring conducted during the KKN program at Universitas Muhammadiyah Jakarta, the team implemented a step-by-step approach: from system requirement analysis, project initialization using React CLI, component-based user interface development, integration with Tailwind CSS for styling, to deployment via GitHub Pages. The program enabled participants to directly practice developing responsive, maintainable, and scalable websites that reflect modern web standards. The outcomes show that React.js significantly increases development speed and modularity, while Tailwind CSS enhances visual consistency and ease of use. Community partners gained new skills and were able to independently manage and expand their organizational websites post-program. This activity contributes to improving the digital competency of grassroots organizations and promoting technology adoption for sustainability.
Co-Authors Abdillah , Athif Nur Abean, Mohammad Arief Abyan Shidqi, Muhammad Achmad Hasan Adharani, Yana Aditya Firmanto Adritara , Muhammad Zaid Parhan Affandi, Muhammad Choirul Afkarinah, Afni Izzah Agung Firmansyah Aji, Irfan Pandu Akhdan, Nabil Alghifari, Abdul Hafizd Alifsyah Ramadhan, Rafi Novranza Amanullah, Muhammad Faiz Amili, Fadel Amri, Nurul Andharani, Yana Andri Kuspurnama Andriansyah, Akbar Anjani, Meisya Putri Anwar Ilmar Ramadhan Apriliano, Yova Rezky Aqil Nabila Musaffa Ardhani, Yana Ardharani, Yana Ardiansyah Dores Arista Putri, Syahda Astriana Baiti Sinaga Aullia, Mochammad Rizqi Bintang, Reihan Aditya Permata Cholis Arethusa, Muhammad Darmawan , Zuhair Fakhriy Al Faarisi Dena Rizki Rysmawan Dewinta, Ayu Madhu Diana Nur Haliza Dwi Duta Mahardewantoro Dzakiyuddin Rohman, Hilmi Dzulkarnain, Mulki Djenfik Elnur , Irsyadi Hanif Emi Susilowati Emi Susilowati Erni Rita Erwin Dermawan Ery Diniardi Fachrudin, Tedy Fadhlurokhman, Rafi Fadillah, Muhammad Daffa Fadli Indra Guci Fahmi, Sonny Faizzaki , Nurfaiq Fakhriza , Naufal Fauzan Azima Filayati, Muhammad Albi Akbar Franskusuma, Sutio Gimnastiar, Nazar Ginawan, Najla Maharani Dewi Tiawa Guritno, Deden Habibie, Muhammad Fadhil Hanifani , Fildzah Amalina Hasan, Nur Fatima Haykal Andana, Muhammad Hendra , Hendra Hesti Laila Mustika Hidayat, Ragil Ihsan, Awang Ikhsan Adi Prayogo Ikhsan Fitriansyah Ilyasa, Fahri Imanata, Acep Cakra Indri Titah Cahyani Ira Sri Kusuma Irawan, Doni Julia Safitri Jumail Jumail, Jumail Jumail, Jumail Khalisah Hasna Naila Shifa Khanafi , Muhammad Almustofa Khansa Aqilla Putri Khoirrosyid, Haida Khoirul Umam Koswara Koswara Lily Herlina Linda Sari Dewi M. Zulmi Wijiyanto Maulana, Fikri Naufal Maulana, Mirza Memanda, Freddy Meri Prasetyawati Mirza Sutrisno Mochamad Hariyanto Mochamad Teguh Triadi Mochammad Gendry Afriansyah Muhamad Ghufron Muhammad Adri Farqan Muhammad Arif Muhammad Fiqri Muhammad Izzudin Rosadi Muhammad Nasirul Haq Muhammad Ni’am Syukri Muhammad Reza muhammad rizky, muhammad Muhammad Rizqi Raihan Firdaus Muhammad Taqi Wijdan Muhammad Zikri Mujiastuti , Rully Muyohadi Winoto Ningsih , Indri Surya Nurvelly Rosanti Nurvelly Rosanti, Nurvelly Pebriano Nurba, Putra Popy Meilina Prasetio, Iqlal Wira Pratama , Nur Fauzta Putra Pratama, Renaldi Priadhana Edi Kresnha Priadi, Aryaguna Fadlurrahman Putri, Khansa Aqila Putri, Khansa Aqilla Qaedi Setiawan, Muhammad Thirafi Qardhawi, Nadif Yusuf Rabiah Adawiyah Harahap Rahmat Fajrial Azim Rahmawati Gunawan, Alfiana Ramadhan, Atthilla Sulthan Ramadhan, Muhammad Thoriq Ramadhika, Gilang Razani , Muhammad Naufal Retnani Latifah Retnani Latifah Rifki Syarif Hidayat Rifqi Baihaqi Sabhan Rosanti , Nurvelly Rosanty, Nurvelly Rozy, Farhan Rufi'i Rully Mujiastuti Rully Mujiastuti Salma , Aiva Nabilla Sandhi Alfianda Ghifari Santoso, Ilham Budi Saptrian, Muhammad Daffa Saputra , Adji Setyawan Saputra, Audyka Saputra, Ugo Oktaviano Saputri, Octaviani Septiana, Dimas Sugiartowo Sugi Sugiartowo Sugiartowo Suhendar , Achmad Sukmawandana Gilang Nurmawan Sulthan, Athilla Sutowo , Muhammad Haidar Althaaf Syafitri Indah Kurnia Syahrul Al Habib Syauqi, Muhammad Haikal Syuja Ardyansyach Taufik Hidayat Tio Alfian Zahri Virgi Al-Fiansah Virgi Al-Fiansah Wahyu Nugraha Yus Sosrowiguno Zahran, Fikry Muhammad Zein, Risa Azzahra