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All Journal Jurnal Teknologi Jurnal sistem informasi, Teknologi informasi dan komputer Prosiding Semnastek International Humanities and Applied Science Journal Prosiding Seminar Nasional Teknoka JURNAL PENDIDIKAN TAMBUSAI Jurnal Pengabdian Masyarakat Teknik Society: Jurnal Pengabdian Masyarakat Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Padma: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Dedication : Jurnal Pengabdian Masyarakat Kenduri: Jurnal Pengabdian Dan Pemberdayaan Masyarakat
Popy Meilina
Universitas Muhammadiyah Jakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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Forget SQL for a moment: Build Your First Database with MongoDB Rafiyandi, Danu Sisda; Algibran, Kevin Raydafa; Saputra, Muhammad Fikri Dwi; Yatin Nafiah, Nandhita Ghin; Dahshal Alhareth, Naji Salem Ali; Meilina, Popy; Mujiastuti, Rully; Adharani, Yana; Rosanti, Nurvelly
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2026): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/2sv1hy10

Abstract

The webinar and workshop “Forget SQL for a moment: Build Your First Database with MongoDB,” held on January 10, 2026, aims to provide knowledge about the NoSQL database service called MongoDB, with a focus on teaching how to install MongoDB, providing examples of terminal-based queries on Mongo Shell, and visualizing documents in the database using Mongo Compass. Additionally, participants learned how to install the MongoDB database server, access the database via the Mongo Shell terminal, and use Mongo Compass as a Graphical User Interface (GUI) to easily view document visualizations in each database collection. This event successfully attracted 35 student participants from the same department across all grades. This enthusiasm was also supported by the relevance of the course and the participants' interest in learning about the MongoDB database. The results of the pre-test, which participants took before the material was discussed, had an average score of 60.21 points and a median of 90 points, while the post-test, which participants took after the material was discussed in the webinar and workshop, had an average score of 71.88 points and a median of 100 points. In addition, participants provided mostly positive feedback, expressing enthusiasm and satisfaction with the event, as well as suggestions for improvement in the future. This activity served as a means of technological education that provided insight and supported the development of science and technology.
Easy Steps to Build a Digital Business Showcase by Creating a Simple Website Nasirul Haq, Muhammad; Khalisah Hasna Naila Shifa; Agung Firmansyah; Fadli Indra Guci; Rully Mujiastuti; Sitti Nurbaya Ambo; Popy Meilina; Yana Adharani; Nurvelly Rosanti; Sukmawandana Gilang Nurmawan
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/ydged593

Abstract

The digital divide phenomenon in the era of the Industrial Revolution 4.0 remains a major barrier to the growth of Micro, Small, and Medium Enterprises (MSMEs). Many business actors still rely on manual showcases or social media platforms that are vulnerable to algorithm changes. This community service activity aims to provide a solution through a Webinar and Workshop program entitled “Rakit Etalase Digitalmu,” which introduces websites as professional and independent digital showcases. The program was implemented in two stages: community education (webinar) and technical training (workshop) covering basic HTML, CSS, and JavaScript. Evaluation through pre-tests and post-tests showed an average correct response rate of 86% in the pre-test and 82% in the post-test, which does not yet indicate a quantitative improvement, although participants’ understanding remained in the good category. Feedback results revealed a high level of participant satisfaction, with an average rating of approximately 4.2 out of 5, and demonstrated meaningful gains in knowledge and experience in developing websites as digital showcases for MSMEs.
Dari Data ke Wawasan: Menganalisis Tren Perilaku Konsumen Tanpa Kode Menggunakan Knime Ananda Rahman Ananda; Abdulaziz Abdullah Ahmed; Bintang Al Fizar; Dwi Kartika; Saif Ali Mohsen Dahshal; Yana Adharani; Popy Meilina; Rita Dewi Risanty
PADMA Vol 5 No 2 (2025): JURNAL PENGABDIAN KEPADA MASYARAKAT (PADMA)
Publisher : LPPM Politeknik Piksi Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56689/padma.v5i2.2422

Abstract

Pesatnya perkembangan data digital menuntut masyarakat dan pelaku usaha untuk mampu memahami tren perilaku konsumen secara berbasis data. Namun, keterbatasan kemampuan pemrograman masih menjadi kendala utama dalam proses analisis data. Kegiatan pengabdian kepada masyarakat ini mengangkat tema “From Data to Insight: Analyzing Consumer Behavior Trends Without Coding Using KNIME” yang dilaksanakan dalam bentuk webinar dan workshop. Tujuan kegiatan ini adalah meningkatkan pemahaman konseptual serta keterampilan praktis peserta dalam menganalisis perilaku konsumen tanpa menggunakan coding melalui platform KNIME. Mitra pengabdian dalam kegiatan ini meliputi mahasiswa dan pelaku UMKM yang membutuhkan kemampuan analisis data untuk mendukung pengambilan keputusan. Metode pengabdian dilakukan melalui webinar untuk penyampaian materi konseptual, kemudian dilanjutkan dengan workshop berbasis praktik langsung menggunakan studi kasus data perilaku konsumen. Hasil evaluasi menunjukkan bahwa pada tahap pre-test, sebesar 60% peserta menjawab soal dengan benar, yang menandakan adanya pemahaman dasar terkait alur kerja analisis data menggunakan KNIME. Setelah pelaksanaan kegiatan, hasil post-test mengalami peningkatan signifikan, dengan 89,2% peserta menjawab dengan benar, mencerminkan peningkatan pemahaman yang konsisten di berbagai topik analisis data. Selain itu, dari sisi kepuasan peserta, 52,38% peserta menyatakan sangat puas terhadap pelaksanaan kegiatan, yang mencerminkan persepsi positif terhadap relevansi materi, kualitas penyampaian, dan penyelenggaraan acara secara keseluruhan. Temuan ini menunjukkan bahwa kombinasi webinar dan workshop efektif dalam mentransfer pengetahuan dan keterampilan analisis data tanpa coding, serta mendorong pemanfaatan data secara lebih inklusif dan meningkatkan kesiapan masyarakat dalam menghadapi pengambilan keputusan berbasis data.
DETEKSI JARAK KOSONG PADA PERKEBUNAN TEBU MENGGUNAKAN METODE YOLO V5 Khansa Aqila; Popy Meilina
Jurnal Sistem Informasi, Teknologi Informatika dan Komputer Vol 16 No 1 (2025): September
Publisher : Universitas Muhammadiyah Jakarta

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

Abstract

ASugarcane plantations play an important role in food security and the national economy. However, problems such as empty areas or suboptimal planting distances still frequently occur and affect land productivity. This study aims to develop an automatic detection model for empty spaces between sugarcane plants using the YOLOv5 method. The data used consists of 1,000 digital images of sugarcane fields obtained via drone from PT Perkebunan Nusantara III (Persero). The research method follows the AI project cycle, which includes problem scoping, data acquisition, data exploration, modeling, evaluation, and deployment. The labeling of empty areas was performed using Roboflow, and model training was conducted on Google Colab. The model was evaluated using metrics such as IoU, precision, recall, F1-score, and accuracy. The best results showed that the model achieved an accuracy of 35.37%, precision of 0.4774, recall of 0.5771, and F1-score of 0.5225. Additionally, the model results were applied to an interactive dashboard based on Streamlit to facilitate visualization and decision-making in the field. This study demonstrates that YOLOv5 has potential in assisting with the detection of empty areas in sugarcane fields; however, the model's performance can still be improved through data optimization and model parameter tuning.
Seminar dan Workshop “Membangun Website Pertamamu Menggunakan Gemini AI dan UX Pilot” bagi Karang Taruna Unit 08 Kel. Kebon Sirih Muhammad Fikri Arrayan; Muhammad Ajar Danu Wiratama; Muhammad Almustofa Khanafi; Muhammad Haidar Althaaf Sutowo; Amar Triadi; Fadli Indra Guci; Rully Mujiastuti; Nurvelly Rosanti; Popy Meilina; Rita Dewi Risanty; Sitti Nurbaya Ambo; Mirza Sutrisno
KENDURI : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 6 No. 2 (2026): May-August
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/kenduri.v6i2.2788

Abstract

Digital transformation within local youth organizations faces challenges regarding information technology proficiency and the availability of official publication platforms. This community service initiative aims to accelerate digital literacy within the Karang Taruna Kali Pasir RW 08 youth organization through training in AI-based website development (using Gemini AI and UX Pilot). The implementation method comprises three main stages: preparation (partner needs analysis and material design), execution (seminars, hands-on workshops covering HTML, CSS, and JavaScript, and prompt-engineering guidance), and evaluation and output refinement. Evaluation results indicate a significant improvement in participants' cognitive understanding, evidenced by an increase in the average score from 69 in the pre-test to 97 in the post-test, and a Normalized Gain (N-Gain) index of 0.9125, placing it in the high-effectiveness category. The program's tangible output is the "TarunaHub" web profile, featuring modules for an Overview Dashboard, Event Management, Organizational Gallery, and Organizational Structure. Discussions with the partner organization reveal that the TarunaHub platform and AI proficiency have successfully resolved the lack of digital publication media and empowered the organization's administrators to independently document activities and manage organizational information sustainably.
Seminar dan Workshop "AI in Action: Etika dan Implementasi Kecerdasan Artifisial" bagi Karang Taruna RT 06 RW 11 Kelurahan Penggilingan, Kecamatan Cakung, Jakarta Timur Zaky Pratama; Chantika Dian Anugrah; Athif Nur Abdillah; Muhammad Azizsyah Putra; Achmad Suhendar; Mohamad Fajar Mutaqin; Rully Mujiastuti; Nurvelly Rosanti; Popy Meilina; Yana Adharani; Sitti Nurbaya Ambo
KENDURI : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 6 No. 2 (2026): May-August
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/kenduri.v6i2.2793

Abstract

The rapid development of Artificial Intelligence (AI) offers new opportunities to boost the productivity of community organizations. However, limited AI literacy and lack of understanding regarding ethical AI use remain significant challenges. This community service program was designed to improve members’ understanding of AI concepts, ethical practices, and practical skills in using Google Gemini, Canva AI, and Suno AI for supporting organizational activities. Held on July 5, 2026, at the Karang Taruna Secretariat (RT 006 RW 011, Penggilingan Village, Cakung District, East Jakarta), the program featured seminars, workshops, demonstrations, hands-on practice, and mentoring. Evaluation methods included pre-tests, post-tests, and feedback questionnaires delivered via Google Forms. All participants achieved perfect scores on both the pre-test and post-test, making it impossible to measure learning gains using the Normalized Gain method due to the ceiling effect. Despite this, participants gave highly positive feedback on the quality of learning materials, presentation methods, and overall program implementation. They also successfully created AI-assisted outputs such as event concepts, promotional posters, and background music using Google Gemini, Canva AI, and Suno AI. These results demonstrate that combining seminars, demonstrations, hands-on practice, and mentoring can strengthen AI literacy, enhance practical skills, and encourage ethical, responsible AI use. Additionally, this program offers a practical model for advancing digital literacy and supporting sustainable digital transformation in youth organizations and community groups.
Behind The Trend: Analisis Tren dan Sentimen Publik Terhadap Brainrot Content di Media Sosial Menggunakan Python dan Google Colab Indri Surya Ningsih; Hafizh Umar Haq; Muhammad Ravlyansyah; Lantip Nurrohman; Muhammad Naufal Razani; Syamil Ghufron Rabbani; Sitti Nurbaya Ambo; Jumail Jumail; Nurvelly Rosanti; Yana Adharani; Rully Mujiastuti; Popy Meilina
KENDURI : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 6 No. 2 (2026): May-August
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/kenduri.v6i2.2772

Abstract

Brainrot content, short-form social media content characterized by low-quality yet highly addictive information, has grown rapidly among younger audiences and is associated with declining attention span and mental well-being. This community service activity aims to improve students' digital literacy and analytical skills in reading public trends and sentiment toward brainrot content through a webinar and workshop titled "Behind The Trend". The activity was held online via Zoom Meeting on 26 June 2026, featuring two speakers from the Dicoding community (DBS Foundation and PIJAK). The method consisted of a conceptual webinar followed by a hands-on workshop covering YouTube comment web scraping, data cleaning, text preprocessing, N-Gram and WordCloud generation, and lexicon-based sentiment analysis using Python on Google Colab. Evaluation was conducted through Google Form-based pre-test and post-test. The pre-test involving 18 respondents recorded an average correctness of 81.1%, while the post-test involving 23 respondents showed an increase with an average score of 95.2 out of 100. The activity was attended by 53 registered participants from various universities. These results indicate that a viral-trend case-study training approach effectively improves participants' understanding of data scraping, text mining, and sentiment analysis concepts.
Peningkatan Kesadaran Keamanan Data dan Jaringan Melalui Webinar dan Workshop Luqman Ali Dinul Ramadhan; Agung Firmansyah; Muhammad Kamal Ibrahim; Muhammad Bilal Taqwa; Muhammad Azril Naufal Shadiq; Muhammad Jihan Maulana Zuhri; Popy Meilina; Rita Dewi Risanty; Yana Adharani; Sitti Nurbaya Ambo; Hendra; Rully Mujiastuti
KENDURI : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 6 No. 2 (2026): May-August
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/kenduri.v6i2.2798

Abstract

Public Wi-Fi users in Indonesia remain largely unaware of how easily unencrypted traffic exposes their login credentials, a gap that has enabled data theft and fraudulent online loan applications filed under stolen identities. This community service activity, part of the KKN Diseminasi Magang dan Studi Independen Bersertifikat Batch 10 program, aimed to raise data and network security awareness among students and teachers from three partner schools, SMA Dewan Dakwah Bekasi, MTsN 24 Jakarta Timur, and SMK Perguruan Cikini Jakarta, along with the general public. The team carried out four stages: a needs analysis of the partner schools, preparation of teaching materials and event administration, a one-day online webinar and workshop held via Zoom on 27 June 2026, and an evaluation using pre-test, post-test, and feedback instruments. Of 98 registrants, 53 participants completed the full session. Material covered network threats, the HTTP/HTTPS distinction, encryption and hashing, public-network attack techniques, a Wireshark-based sniffing demonstration, Have I Been Pwned checks, and two-step verification. Average scores rose from 82.68 before the session to 93.45 afterward, a gain of 10.77 points, while feedback showed most participants rated the material's relevance and delivery highly. These results indicate that pairing conceptual explanation with hands-on demonstration measurably improved participants' understanding of public network security risks.
Co-Authors Abdul Rezak Abdulaziz Abdullah Ahmed Achmad Suhendar Adharani, Yana Adrian Mustafa Afridhon Iwan Pramudiaji Agung Firmansyah Agung Firmansyah Aji, Irfan Pandu Ajinaya, Wisnu Selaguna Akhdan, Nabil Akhmad Thauzi Alghifari, Abdul Hafizd Algibran, Kevin Raydafa Amanullah, Muhammad Faiz Amar Triadi Amili, Fadel Aminudin, Muhammad Amri, Nurul Ananda Rahman Ananda Anggi Rahmadillah Anggi Saputra Arafah, Aryuni Ardharani, Yana Ardiansyah Dores Ardika, Sadin Yusuf Arkan, Mohammad Athif Nur Abdillah Azhari Daulay Azzahra, Alya Rahmah Bagus Kurniawan Bagus Kurniawan Bintang Al Fizar Chantika Dian Anugrah Dahshal Alhareth, Naji Salem Ali Dwi Duta Mahardewantoro Dwi Kartika Elnur , Irsyadi Hanif Fachrudin, Tedy Fadli Indra Guci Fadli Indra Guci Fahmi, Sonny Fauzan Azima Fikram Althaf Muyassar Fitria, Natasya Umi Franskusuma, Sutio Gerhana Yuhandika Gimnastiar, Nazar Habibie, Muhammad Fadhil Hafita Ayuning Hafizh Umar Haq Hakim, Muhammad Farizs Hakim, Taufiq Rahman Hanifani , Fildzah Amalina Haq, Hafizh Umar Hendra Herlin Dwi Astuti Hermawan, Muhammad Luthfi Hudaya, Kahfi Deli Ikhsan Adi Prayogo Ikhsan Fitriansyah Ilham Firmansyah Dika Ilyasa, Fahri Indri Surya Ningsih Ismawanto, Alvi Julia Safitri Jumail Jumail Jumail Jumail, Jumail Jumail, Jumail Kevin Arya Dandy Khalisah Hasna Naila Shifa Khanafi , Muhammad Almustofa Khansa Aqila Kyla, Idelia Fitri Laksono, Muhammad Rafe Suryo Lantip Nurrohman Luqman Ali Dinul Ramadhan M. Ravi Mega Arasy Maulana, Hanif Maulana, Mirza Mega Fatimah Rosana Memanda, Freddy MIFTAHUL JANNAH Mirza Sutrisno Mochamad Hariyanto Mochammad Gendry Afriansyah Mohamad Fajar Mutaqin Muhammad Adri Farqan Muhammad Ajar Danu Wiratama Muhammad Almustofa Khanafi Muhammad Arif Muhammad Azizsyah Putra Muhammad Azril Naufal Shadiq Muhammad Bilal Taqwa Muhammad Fadhil Habibie Muhammad Farizs Hakim Muhammad Fikri Arrayan Muhammad Haidar Althaaf Sutowo Muhammad Hasbi MUHAMMAD HASBI Muhammad Imam Najib Muhammad Jihan Maulana Zuhri Muhammad Kamal Ibrahim Muhammad Naufal Razani Muhammad Ni’am Syukri Muhammad Ravlyansyah Muhammad Reyhan Ariesgo Muhammad Reza Muhammad Taqi Wijdan Muhammad Zaid Itqon Muhammad Zaki, Dimas Aufa Mustaqim Anwar Nabilla, Naula Nasirul Haq, Muhammad Natasya Umi Fitria Ningsih , Indri Surya Nur Aina Hasni Nur Komariah Nuraeni Astryani Nurul Amri Nurvelly Rosanti Nurvelly Rosanti, Nurvelly Nurwahyudin, Eka Pratama, Renaldi Priadi, Aryaguna Fadlurrahman Purnomo, Maulana Ary Putra, Alif Naufal Teguh Putri, Khansa Aqila Putri, Khansa Aqilla Qardhawi, Nadif Yusuf Rafiyandi, Danu Sisda Ramadhan, Atthilla Sulthan Retnani Latifah Rifki Syarif Hidayat Rifqi Baihaqi Sabhan Rivaldy, Adrian Rosanti , Nurvelly Rufi'i Rully Mujiastuti Saif Ali Mohsen Dahshal Salma , Aiva Nabilla Sandhi Alfianda Ghifari Santoso, Ilham Budi Saputra, Muhammad Fikri Dwi Shadiq, Muhammad Azril Naufal Sitti Nurbaya Sitti Nurbaya Ambo Sukmawandana Gilang Nurmawan Syahputra, Maulana SYAHRI, NUR ALFI Syamil Ghufron Rabbani Syuja Ardyansyach Utami, Mirsanda Amelia Wahyu Nugraha Yatin Nafiah, Nandhita Ghin Yekto Priyandhani Zakky Hakim Zaky Pratama Zaky Yusuf Ajindra Zein, Risa Azzahra Zulfikar, Mohamad Rafli