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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 Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Dedication : Jurnal Pengabdian 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 Social Sciences Other

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Webinar dan Workshop : From Zero to Hero with KNIME: Introduction to Machine Learning Workflows & Storytelling with Data Using Looker Studio Pratama, Renaldi; Ramadhan, Atthilla Sulthan; Putri, Khansa Aqilla; Nugraha, Wahyu; Fahmi, Sonny; Meilina, Poppy; Jumail, Jumail; Adharani, Yana; Ambo, Siti Nurbaya; Mujiastuti, Rully
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Perkembangan analisis data dan kecerdasan buatan membuka peluang baru dalam pengolahan informasi dan pengambilan keputusan berbasis data. Namun, kompleksitas teknologi ini menimbulkan tantangan bagi banyak profesional dan mahasiswa dalam menguasainya. Untuk mengatasi hal tersebut, kami mengadakan webinar dan workshop berjudul "From Zero to Hero with KNIME: Introduction to Machine Learning Workflows & Storytelling with Data Using Looker Studio". Kegiatan ini dilaksanakan dengan metode pemaparan materi melalui Webinar dan dilanjutkan dengan Workshop praktis. Evaluasi kepuasan peserta dilakukan melalui kuisioner yang menunjukkan respon positif terhadap pemateri dan materi yang disampaikan. Hasil menunjukkan bahwa kegiatan berjalan sukses, dibuktikan dengan partisipasi dari 40 peserta dari berbagai latar belakang. Peserta mengisi Post-Test yang menunjukkan pemahaman yang baik terhadap materi, dengan rata-rata skor 85%. Feedback yang didapatkan dari peserta menunjukkan 61,5% merasa puas dan 38.5% merasa sangat puas dengan kegiatan ini. Kombinasi ML, KNIME, dan Google Looker Studio terbukti menawarkan pendekatan yang efektif untuk menganalisis data kompleks dan menyajikannya secara mudah dipahami.
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.
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.
Getting Started with Machine Learning in Game Development Hakim, Taufiq Rahman; Muhammad Zaki, Dimas Aufa; Utami, Mirsanda Amelia; Syahri, Nur Alfi; Ardika, Sadin Yusuf; Risanty, Rita Dewi; Mujiastuti, Rully; Meilina, Popy; Amri, Nurul; Nurbaya, 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.v4i2.539

Abstract

The The webinar and workshop titled "Getting Started with Machine Learning in Game Development", held on January 18, 2025, aimed to deliver foundational knowledge on Machine Learning (ML), with a specialized focus on Reinforcement Learning (RL) and its applications in game development, featuring two main sessions: a public webinar for theoretical education and a hands-on technical workshop. The webinar introduced core ML concepts, including Supervised Learning, Unsupervised Learning, and Reinforcement Learning, while the workshop emphasized the practical implementation of RL using Unity ML-Agents, PyTorch, Anaconda, and the C# programming language, attracting 45–56 participants from diverse institutions and highlighting significant interest in ML applications within the creative industry, particularly game development. Pre-test results (administered prior to the sessions) yielded an average score of 64.68 and a median of 60, while post-test scores (conducted after the sessions) showed marked improvement, with an average of 81.22 and a median of 90, and participant feedback was overwhelmingly positive, with attendees expressing satisfaction regarding the quality of content, expertise of speakers, and overall event organization, underscoring the effective reception of Machine Learning education and its potential to enhance skill development across sectors, including the creative and technology industries.Webinar dan Workshop "Getting Started with Machine Learning in Game Development", yang diselenggarakan pada 18 Januari 2025, bertujuan memberikan pengetahuan dasar tentang Machine Learning (ML) dengan fokus khusus pada Reinforcement Learning (RL) dan penerapannya dalam pengembangan game. Acara terdiri dari dua sesi utama: edukasi publik melalui webinar dan pelatihan teknis melalui Workshop. Webinar membahas dasar-dasar Machine Learning, Supervised Learning, Unsupervised Learning, dan Reinforcement Learning, sementara Workshop berfokus pada penerapan RL menggunakan Unity ML-Agents, PyTorch, dan Anaconda dengan bahasa pemrograman C#. Acara ini berhasil menarik 45–56 peserta dari berbagai institusi, menunjukkan minat besar terhadap penerapan Machine Learning di industri kreatif, khususnya pengembangan game. Hasil dari Pre-test yang di mana peserta mengerjakan tes tersebut sebelum pemaparan materi memiliki nilai rata rata sebanyak 64,68 poin dan median sebanyak 60 poin, sedangkan di Post-Test, yang di mana peserta mengerjakan tes tersebut setelah mendengarkan paparan materi yang diberikan, memiliki rata-rata sebanyak 81,22 poin dan median sebanyak 90 poin. Selain itu, mayoritas peserta memberikan umpan balik positif, menyatakan kepuasan terhadap kualitas materi, narasumber, dan penyelenggaraan acara. Kegiatan ini menegaskan bahwa edukasi teknologi Machine Learning diterima dengan baik dan berpotensi mendukung pengembangan keterampilan di berbagai sektor, termasuk industri kreatif dan teknologi.
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.
Educating on the Application of Tensorflow in Artificial Intelligence, Machine Learning and Deep Learning Santoso, Ilham Budi; Aji, Irfan Pandu; Franskusuma, Sutio; Putri, Khansa Aqila; Ardharani, Yana; Mujiastuti, Rully; Nurbaya Ambo, Sitti; Meilina, Popy; Rosanti, Nurvelly; Amri, Nurul
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.v4i2.547

Abstract

In addition to bringing positive impacts, technological developments also provide new challenges in improving people's technological literacy, especially related to Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). One of the main challenges is the low public understanding of these technologies, which are increasingly relevant in the era of digital transformation. On the other hand, Google developed a library with the name TensorFlow which is widely used for data processing in Artificial Intelligence, Machine Learning, and Deep Learning. Based on this, educational activities were carried out in the form of introducing and training the use of TensorFlow to the general public in the form of webinars and workshops with the theme ‘Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning’. The activity was carried out in two stages, namely webinars for delivering basic material and workshops for hands-on practice. Based on evaluation through a Likert scale questionnaire, the majority of participants stated that they were very satisfied with the quality of the material, presenters, and implementation of activities. The post-test results also showed an increase in participants' understanding of the material, as evidenced by correct answers on topics such as TensorFlow functions, supervised learning, and neural networks. The participation of 52 participants from various institutions shows the success of this activity in achieving its goals.  
Pelatihan Desain Web Responsif melalui Webinar dan Workshop sebagai Upaya Peningkatan Kompetensi Digital Peserta Zaky Yusuf Ajindra; Chantika Dian Anugrah; Muhammad Zaid Itqon; Akhmad Thauzi; Adrian Mustafa; Mirza Sutrisno; Rully Mujiastuti; Popy Meilina; Sitti Nurbaya Ambo; Jumail Jumail
Nusantara: Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 2 (2026): Mei : NUSANTARA Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v6i2.8268

Abstract

This community service activity aims to enhance participants' digital competency through responsive web design training conducted using integrated webinar and workshop methods. The background of this activity is based on the increasing need for adaptive web development skills across various devices to support digital personal branding. This activity involves university students and the general public and is conducted online utilizing modern communication platforms. The implementation method consists of preparation, implementation, and evaluation stages. In the implementation stage, participants attend webinar sessions to strengthen conceptual understanding of responsive web design principles, followed by workshop sessions that emphasize hands-on practice in website creation using HTML, CSS, and JavaScript. Evaluation is conducted through pre-tests and post-tests to measure program effectiveness. The results show a significant increase in participants' digital competency with an average score increase of 55.8%. These findings indicate that the integration of webinar and workshop methods is effective in improving participants' conceptual understanding and technical skills. This activity is expected to serve as a model for community service based on applicable and sustainable digital competency development.
The Logic Behind Crud: Mengelola Alur Manipulasi Data di Laravel Hanifani , Fildzah Amalina; Salma , Aiva Nabilla; Ningsih , Indri Surya; Elnur , Irsyadi Hanif; Khanafi , Muhammad Almustofa; Mujiastuti , Rully; Sutrisno , Mirza; Risanty , Rita Dewi; Meilina , Popy; Ambo , Sitti Nurbaya; Rosanti , Nurvelly
Dedication : Jurnal Pengabdian Masyarakat Vol 10 No 1 (2026)
Publisher : LPPM Universitas PGRI Argopuro Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31537/dedication.v10i1.3061

Abstract

The Create, Read, Update, and Delete (CRUD) concept is one of the four basic operations in data management for web applications. However, there are still people, especially students and beginners in the field of information technology, who do not understand the CRUD workflow systematically, making it difficult for them to build web applications that are integrated with databases. This community service activity aims to improve participants' understanding and skills in applying CRUD logic using the PHP programming language and the Laravel framework. The implementation method was carried out through webinars to reinforce theoretical understanding and workshops for hands-on practice. The activity was conducted online and attended by 48 participants from universities. Evaluation was carried out through pre-tests, post- tests, and feedback questionnaires. The results of the activity showed an increase in the average test score of participants from 64 to 85 percent, an average increase of 32.8%. Meanwhile, the satisfaction level results showed that 39.6% agreed and 47.9% strongly agreed. Thus, this activity was able to improve the basic understanding and skills of web application data management.
Prompt Strategy for Optimal AI Results Azzahra, Alya Rahmah; Rivaldy, Adrian; Nabilla, Naula; Shadiq, Muhammad Azril Naufal; Kyla, Idelia Fitri; Meilina, Popy; Mujiastuti, Rully; Sutrisno, Mirza; Rosanti, Nurvelly; Adharani, Yana
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2026): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/5kveke20

Abstract

The rapid development of artificial intelligence (AI) technology requires users to have the ability to compose effective instructions or prompts so that the output produced meets their needs. However, many users, especially students, do not yet understand prompting strategies optimally. Therefore, this community service activity was carried out in the form of a webinar and workshop entitled “Prompt Strategies for Optimal AI Results.” This activity aims to improve participants' understanding and skills in utilizing AI through prompting techniques such as Chain-of-Thought (CoT), Few-shot Prompting, Retrieval-Augmented Generation (RAG), ReAct, and Tree of Thoughts (ToT). The methods used in this activity included socialization, pre-testing, webinar material delivery, hands-on practice in the workshop session, post-testing, and evaluation through a feedback questionnaire. The evaluation results showed a significant increase in participants' understanding, marked by an increase in the average score from 78.06 in the pre-test to 100 in the post-test, or an increase of 28.1%. Additionally, participant satisfaction with the material, presenters, and activity implementation was very high. Thus, this activity proved effective in improving participants' literacy and competence in the optimal use of AI.
From Zero to AI: Educational Initiatives Through Webinars and Workshops on Developing Machine Learning Models Using TensorFlow Haq, Hafizh Umar; Mirza Sutrisno; Popy Meilina; Yana Adharani; Nurvelly Rosanti; Jumail; Kevin Arya Dandy; Muhammad Imam Najib; Anggi Rahmadillah; Miftahul Jannah; Rully Mujiastuti
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2026): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/3qq71h51

Abstract

The development of Artificial Intelligence (AI) and Machine Learning (ML) requires improved technological literacy and a basic understanding of practical applications. This study aims to introduce the concepts of AI and ML through the implementation of simple machine learning models using TensorFlow. The methods used include material delivery, model implementation practice, and evaluation through pre-tests, post-tests, and feedback questionnaires. The evaluation results show an increase in participants' understanding, marked by an increase in the average score from 76.76 on the pre-test to 80.91 on the post-test, or an increase of 5.41%. In addition, the feedback results showed a very high level of satisfaction, with 96% of participants giving positive ratings. This shows that the TensorFlow-based learning approach is effective in improving basic understanding and skills related to AI and ML.
Co-Authors Abdul Rezak 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 Amili, Fadel Aminudin, Muhammad Amri, Nurul Anggi Rahmadillah Anggi Saputra Arafah, Aryuni Ardharani, Yana Ardiansyah Dores Ardika, Sadin Yusuf Arkan, Mohammad Azhari Daulay Azzahra, Alya Rahmah Bagus Kurniawan Bagus Kurniawan, Bagus Chantika Dian Anugrah Dahshal Alhareth, Naji Salem Ali Dwi Duta Mahardewantoro Elnur , Irsyadi Hanif Fachrudin, Tedy Fadli Indra Guci Fahmi, Sonny Fauzan Azima Fikram Althaf Muyassar Fitria, Natasya Umi Franskusuma, Sutio Gerhana Yuhandika Gimnastiar, Nazar Habibie, Muhammad Fadhil Hafita Ayuning Hakim, Muhammad Farizs Hakim, Taufiq Rahman Hanifani , Fildzah Amalina Haq, Hafizh Umar Hendra Hendra Herlin Dwi Astuti Hermawan, Muhammad Luthfi Hudaya, Kahfi Deli Ikhsan Adi Prayogo Ikhsan Fitriansyah Ilham Firmansyah Dika Ilyasa, Fahri Ismawanto, Alvi Julia Safitri Jumail Jumail Jumail Jumail, Jumail Kevin Arya Dandy Khalisah Hasna Naila Shifa Khanafi , Muhammad Almustofa Kyla, Idelia Fitri Laksono, Muhammad Rafe Suryo M. Ravi Mega Arasy Maulana, Hanif Maulana, Mirza Mega Fatimah Rosana Memanda, Freddy MIFTAHUL JANNAH Mirza Sutrisno Mochamad Hariyanto Mochammad Gendry Afriansyah Muhammad Adri Farqan Muhammad Arif Muhammad Fadhil Habibie Muhammad Farizs Hakim Muhammad Hasbi MUHAMMAD HASBI Muhammad Imam Najib Muhammad Ni’am Syukri 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 Rully Mujiastuti 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 Syuja Ardyansyach Utami, Mirsanda Amelia Wahyu Nugraha Yatin Nafiah, Nandhita Ghin Yekto Priyandhani Zakky Hakim Zaky Yusuf Ajindra Zein, Risa Azzahra Zulfikar, Mohamad Rafli