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Society: Jurnal Pengabdian Masyarakat
ISSN : -     EISSN : 2827878X     DOI : -
Society: Jurnal Pengabdian Masyarakat diterbitkan oleh Lembaga Edumedia Solution adalah peer-reviewed journal yang memuat artikel-artikel ilmiah dari berbagai disiplin ilmu yang diadopsi dalam berbagai aktivitas pengabdian kepada masyarakat dan penelitian terapan lainnya. Artikel-artikel yang dipublikasikan di Society: Jurnal Pengabdian Masyarakat meliputi hasil-hasil kegiatan pengabdian pada masyarakat, artikel ulasan ilmiah yang bersifat baru, atau komentar atau kritik terhadap tulisan yang ada dimuat di Society: Jurnal Pengabdian Masyarakat maupun dalam terbitan berkala ilmiah lainnya. Society: Jurnal Pengabdian Masyarakat terbit 6 (enam) kali setahun, setiap bulan Januari, Maret, Mei, Juli, September, dan November. Artikel yang telah publish dapat didownload secara gratis, dibaca dan disebarluaskan sebagai rujukan artikel selanjutnya.
Arjuna Subject : Umum - Umum
Articles 20 Documents
Search results for , issue "Vol. 4 No. 2 (2025): Maret" : 20 Documents clear
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.
Economic Care Day: Training Leadership, Creativity, Collaboration, and Sociopreneur at Smk Negeri 1 Merangin 2024 Sarinah, Sarinah; Mardalena, Mardalena; Melina, Angra; Andriani, Diyan; Utami, Sri; Afika, Tya
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.v4i2.538

Abstract

The purpose of the Economic Care Day 2024 program at SMK Negeri 1 Merangin is to foster student leadership, creativity, teamwork, and sociopreneurship. Utilizing several interactive training sessions, practical exercises, and realistic business simulations, this program seeks to equip students to become creative and socially conscious entrepreneurs. Four major areas are the program's focus: The first is Leadership Development, which teaches students how to make decisions, solve problems, and manage a team; the second is Creativity Enhancement, which promotes creative thinking and solution-based entrepreneurship; the third is Collaboration Training, which stresses teamwork and good communication; and the fourth is Sociopreneurship Education, which introduces the idea of business models that put profit and social.  Economic Care Day 2024 reaches 146 students as participants aim to equip students with strong social entrepreneurship knowledge, enhanced leadership, teamwork abilities, and an expanded entrepreneurial attitude. Through experiential learning, workshops, case studies, and mentorship, students are equipped to contribute to their communities and the global economy
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.
Assistance in Learning the Quran Using Snake and Ladder Game Media at LPQ Keblukan Village, Kaloran District, Temanggung Regency Fatijroh, Ibif; Sholehah, Ida Hidayatu; Nurrahma, Mita Amelia; Fadhir, Ahmad Al; Triana, Jupit; Pratama, Bagas Yoga; Fatchudin, Achmad; Ramadhani, Ekawati; Santika, Elsa Sopia; Nona, Nadya Noermala; Kwee, Saniayuen; Akbar, Givo Al; Aqil, Mukhamad Sa'id; Adi, Nugraho Prasetya
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.v4i2.543

Abstract

This study aims to describe the Qur'an learning assistance program using snake and ladder game media in LPQ Keblukan Village, Kaloran District, Temanggung Regency. This assistance was held to increase the understanding of the Qur'an and tajweed for LPQ students in Keblukan Village. This study uses a descriptive qualitative method. The researcher will collect qualitative data on existing mentoring practices, as well as contextual factors that affect Qur'an learning in the area.The Qur'an learning assistance program with the Iqra method and snake and ladder game media at LPQ Keblukan Village has proven to be effective in improving the ability to read and understand the Qur'an in children. This activity lasted for 2 weeks and involved students of the Community Service Lecture (KPM) of the University of Qur'an Sciences (UNSIQ). The results of the evaluation showed that this program succeeded in increasing children's learning motivation and participation in learning the Qur'an. Therefore, this program can be an example of the development of an effective and attractive Qur'an literacy program for children.
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.  
Empowering Rapid Response To Heart Disease In Community Self-Help Efforts At Posyandu Kemuning 1a Sukamakmur Village Ciomas Aminah Lily, Nyayu Siti; Wahyuni, Yuli; Saadah, Aas
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.v4i2.552

Abstract

The results of the 2022 Service Team questionnaire survey at Posyandu Kemuning 1A Sukamakmur Ciomas Village require regular heart checks, so far the midwife uses a stethoscope and the data is stored using a manual book so that it is inconvenient for patients to do pregnancy control per month. The main purpose of pregnancy checks is to keep the pregnancy healthy, monitor the growth and development of the fetus so that it is detected as early as possible abnormalities of the fetus and pregnant women, so it is necessary to transfer knowledge through socialization activities and mentoring of heart check health training. The outputs produced in this activity are the use of science and technology technology for the community including the use of heart medical records for checking heart disease and research results, optimizing community services, and helping to create peace and comfort in the community and helping to facilitate early heart checks. This activity also resulted in publications in community service journals, articles in several electronic publication media, activity videos, product IPR. This community service implements IKU 2, namely students gaining experience outside the campus and IKU 3 where lecturers carry out activities outside the campus and IKU 5, namely the work of lecturers is used by the community.
The Application Of Fetal Music Instrumental Tools Helps Fetal Growth In The Womb Of Pregnant Women At Posyandu Kemuning 1A Village Sukamakmur Ciomas Handayani, Marybet Tri Retno; Wahyuni, Yuli; Elfrieda, Nyayu Siti Aminah Lily
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.v4i2.553

Abstract

Good fetal growth and development from the mother's womb can give birth to a generation that is healthy, intelligent, and of good character. Good fetal growth is influenced by several factors, namely: Good eating habits, hormonal factors and the environment around the fetus. One way to maximize the process of fetal growth in the womb is that the mother must play an active role in making efforts so that the baby grows actively when born later. one of them is to take advantage of fetal stimulation in the womb with a music sound player system for the fetus. Based on the 2023 questionnaire, there is a request from the community for the community service team to hold socialization and training on healthy heart and fetal development using the research results of the Lecturer which can be implemented in the 2024 community service program to implement the Fetal Music Instrumental Tool to Help Fetal Growth in the Womb of Pregnant Women at Posyandu Kemuning 1A Sukamakmur Village, Ciomas. This community service implements IKU 2, namely students gaining experience outside campus and IKU 3 where lecturers carry out activities outside campus and IKU 5, namely the work of lecturers is used by the community. In addition, this activity produces HAKI products, videos of activities, articles in various electronic media, and publications in community service journals.
Transformation of Knowledge and Skills in Agriculture Business Through Clean Air Agriculture Training of Trainers (Case Study of Clean Air Agriculture Training of Trainers PT. CMI) Setyoko, Heru; Ariyanto, Sigid
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.v4i2.560

Abstract

Transformation of Knowledge and Skills through Clean Air Agriculture Training of Trainers was carried out to prepare Village Facilitators/Village Companions/Village Environmental Heroes in 10 villages in Sanggau Regency, West Kalimantan. The impact of Training of Trainers (ToT) on increasing participants' knowledge and skills related to Clean Air Agriculture techniques and Community Organizing Management was evaluated using the Mix-Method method. Quantitative data were collected participatorily using a questionnaire after the training, the assessment used a score of 1-10. Qualitative data were collected through interviews with ToT participants after the training, and the data were processed descriptively. The results of the Training of Trainers had a significant impact, on knowledge of Clean Air Agriculture Techniques increasing by 68.2% and knowledge and skills of community facilitation and community organizing increasing by 55.4%. Training of Trainers with an adult education method and learning experience, can involve full participant participation, and can transform the knowledge and technical skills of Clean Air Agriculture and Community Organizing effectively.Keywords: Management, Agriculture, clean air Agriculture, no-burn Agriculture,
Disaster Response Education for the Community in Watugaluh Village, Diwek Sub District, Jombang District Nafisah, Khudrotun; Syadiyah, Lailatus; Ayu, Nur; Wardhani, Galuh Rachma; Novianti, Finna Nur; Suparto, Suparto; Budiono, Wahyu
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.v4i2.561

Abstract

Indonesia is a country that is vulnerable to disasters. According to the BNPB Disaster Risk Index 2021, most areas in Indonesia are at risk of natural disasters. UNESCO places Indonesia in the seventh position as the country most vulnerable to natural disasters based on geography, geology, climatology, and demography. In Watugaluh Village, Diwek Sub-district, the community faces substantial challenges due to a lack of understanding in dealing with flood disasters. To overcome this problem, our program offers assistance in the form of disaster response socialization by the Disaster Management Agency (BPBD). This research uses a qualitative method. The result of this assistance is a form of education to the community regarding mitigation and rescue when natural disasters such as floods occur, where the community can reduce the risk of flooding. Students of Group F KKM Darul 'Ulum University also made other efforts to overcome the flood problem in Jasem Hamlet, Watugaluh Village by helping to normalize the river and repairing the river embankment bridge. This is done with the aim that the river flow runs smoothly.

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