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Pelatihan Konten Digital Media Sosial sebagai Sarana Dakwah Remaja Masjid Purnawira Desa Ledug, Kabupaten Banyumas Tenia Wahyuningrum; Nicolaus Euclides Wahyu Nugroho; Silvia Van Marsally; Naurah Qatrunnada; Ade Fakthul Anam
Jurnal Pustaka Dianmas Vol 6, No 1 (2026)
Publisher : Universitas Prof. Dr. Moestopo (Beragama)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32509/dianmas.v6i1.7620

Abstract

This community service program aimed to strengthen the digital literacy and content production skills of youth and mosque administrators at Masjid Purnawira Ledug, Banyumas. The main problem faced by the partner was the limited use of social media as a medium for mosque information and digital da'wah, although participants already had access to smartphones and were familiar with digital platforms. The activity was implemented through a participatory action research approach consisting of coordination, training, guided practice, publication planning, and evaluation. Training materials covered digital da'wah ethics, basic smartphone photography and videography, and simple content production for social media. Evaluation was conducted through paired pretest and post-test scores for two topics: digital da'wah and photography-videography. The results showed positive changes in both topics. The average score for digital da'wah increased from 96.14 to 99.32, while the average score for photography-videography increased from 97.38 to 99.52. The participants were also actively involved in recording video practices around the mosque. The program indicates that mosque-based digital content training can support youth empowerment and improve the sustainability of mosque information management
Logistic Regression Analysis of Factors that Influence User Experience in Student Medical Report Applications Tenia Wahyuningrum; Novian Adi Prasetyo; Gita Fadila Fitriana; Dimas Fanny Hebrasianto Permadi; Rr. Setyawati; Joewandewa Yuliansyah; Khoem Sambath
Journal of Applied Data Sciences Vol 5, No 3: SEPTEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i3.285

Abstract

Monitoring student health efficiently requires collaboration between schools and government health services. Traditional methods often need more agility and user-friendliness, leading to delays and inaccuracies. This research aims to verify a fast and agile student medical report that we have previously developed using the Modified Agile User Experience (UX) method, with a focus on simplicity, usability, and accessibility. The system’s evaluation employs non-functional testing methods to identify factors influencing user satisfaction within the scope of the user experience. We measure task-level and overall user satisfaction using the Single Ease Questions (SEQ) questionnaire as the response variable. This study also investigates test-level satisfaction as predictor variables using Usability Metric for User Experience (UMUX) and UMUX-Lite questionnaire as predictor variables, as well as each student’s Interest in learning and learning motivation concerning test-level satisfaction. Binary Logistic Regression (BLR) analysis determined the relationship between test-level and task-level satisfaction, revealing significant correlations between these variables. Based on the results, the Interest to Learn variable is the most important factor that influences task-level satisfaction, but with a small probability value (42.9%). To ensure these accurate results, we changed the scale on SEQ from Easy and Hard to seven scales with normalized values. We compared the results using 4 algorithms: Logistic Regression, Random Forest, Support Vector Machine (SVM), and Gradient Boosting as the most effective model. For a test size of 0.2 and a random state of 40, Logistic Regression achieved an accuracy of 0.80 and a Receiver Operating Characteristics (ROC) and Area Under Curve (AUC) score of 0.83. Random Forest also had an accuracy of 0.80 but a slightly lower ROC AUC score of 0.77. SVM also performed well, with accuracies of 0.83 and ROC AUC scores of 0.77. Gradient Boosting showed the lowest performance with an accuracy of 0.77 and a ROC AUC score of 0.73. These results indicate that Logistic Regression is the most robust model for predicting user satisfaction. Significant data correlations between SEQ, UMUX, and UMUX-Lite guide the development of user-centered applications, enhancing the effectiveness of educational tools by ensuring higher user satisfaction. Future research should consider more extensive, more diverse samples and additional factors influencing user experience to refine these models and their applications.
SOKARAJA NIGHT ART FESTIVAL: PENGUATAN IDENTITAS LOKAL MELALUI RUANG PUBLIK KREATIF Tenia Wahyuningrum; Gilang Ramadhan; Aditya Tama Isdiarto
Servirisma Vol. 5 No. 2 (2025): Servirisma : Jurnal Pengabdian kepada Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Kristen Duta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/servirisma.2025.52.127

Abstract

Sokaraja District in Banyumas Regency holds significant local potential in agriculture, livestock, industry, and tourism. Its culinary industry—famous for traditional delicacies like "getuk goreng" and "sroto"—and cultural assets such as Mooi Indie-style paintings and Sokaraja batik offer unique attractions. However, many historical buildings in the area remain underutilized. This community service program aims to revitalize local cultural heritage through a digital placemaking approach. We carried out the activity by creating an engaging public space accessible to all community members. The Sokaraja Night Art Festival (SNAF) initiative featured video mapping projections on historical buildings combined with light art, live painting, traditional dance performances, and a bazaar for micro, small, and medium enterprises (MSMEs). The implementation program involves planning, design, execution, and evaluation stages. The main event was held at the Hok Tek Bio temple intersection in Sokaraja, with the theme Molecul Mooi Indie symbolizing local visual art. Evaluation via social media showed broad content reach and positive public response. Notably, the official Instagram account @sokarajanightfestival recorded a 1.57% increase in views over 90 days, from November 2024 to January 2025.
Logistic Regression Analysis of Factors that Influence User Experience in Student Medical Report Applications Tenia Wahyuningrum; Novian Adi Prasetyo; Gita Fadila Fitriana; Dimas Fanny Hebrasianto Permadi; Rr. Setyawati; Joewandewa Yuliansyah; Khoem Sambath
Journal of Applied Data Sciences Vol 5, No 3: SEPTEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i3.285

Abstract

Monitoring student health efficiently requires collaboration between schools and government health services. Traditional methods often need more agility and user-friendliness, leading to delays and inaccuracies. This research aims to verify a fast and agile student medical report that we have previously developed using the Modified Agile User Experience (UX) method, with a focus on simplicity, usability, and accessibility. The system’s evaluation employs non-functional testing methods to identify factors influencing user satisfaction within the scope of the user experience. We measure task-level and overall user satisfaction using the Single Ease Questions (SEQ) questionnaire as the response variable. This study also investigates test-level satisfaction as predictor variables using Usability Metric for User Experience (UMUX) and UMUX-Lite questionnaire as predictor variables, as well as each student’s Interest in learning and learning motivation concerning test-level satisfaction. Binary Logistic Regression (BLR) analysis determined the relationship between test-level and task-level satisfaction, revealing significant correlations between these variables. Based on the results, the Interest to Learn variable is the most important factor that influences task-level satisfaction, but with a small probability value (42.9%). To ensure these accurate results, we changed the scale on SEQ from Easy and Hard to seven scales with normalized values. We compared the results using 4 algorithms: Logistic Regression, Random Forest, Support Vector Machine (SVM), and Gradient Boosting as the most effective model. For a test size of 0.2 and a random state of 40, Logistic Regression achieved an accuracy of 0.80 and a Receiver Operating Characteristics (ROC) and Area Under Curve (AUC) score of 0.83. Random Forest also had an accuracy of 0.80 but a slightly lower ROC AUC score of 0.77. SVM also performed well, with accuracies of 0.83 and ROC AUC scores of 0.77. Gradient Boosting showed the lowest performance with an accuracy of 0.77 and a ROC AUC score of 0.73. These results indicate that Logistic Regression is the most robust model for predicting user satisfaction. Significant data correlations between SEQ, UMUX, and UMUX-Lite guide the development of user-centered applications, enhancing the effectiveness of educational tools by ensuring higher user satisfaction. Future research should consider more extensive, more diverse samples and additional factors influencing user experience to refine these models and their applications.
Co-Authors Abdul Karim Ade Fakthul Anam Aditya Tama Isdiarto Aditya Tama Isdiarto Adnan Purwanto Adnan Setyoko Aina Azalea Ardani Ami Atun, Yani Anggun Dewanti Arief Hendra Saptadi Arief Hendra Saptadi Arief Rais Bahtiar Ariq Cahya Wardhana Astiandari, Astin Azhari Azhari Budy Putri, Raden Neomy Lusie Ratna Deseina Catur Nugroho Condro Kartiko Decki Noor Cahyadi Decki Noor Cahyadi Dimas Fanny Hebrasianto Permadi Diovianto Putra Rakhmadani Dodi Zulherman Dwi Dwi Januarita Dwi Januarita Dwi Januarita Dwi Januarita Dyah Wahyuningsih Eko Puji Utomo Eko Puji Utomo Fakhir Mustafa Afdal Faridzal Eka Nugraha, Maulana Galih Hendro Martono Galih Putra Pamungkas Gilang Ramadhan GITA FADILA FITRIANA Hamidatun Nisa Hasan, Thowaf Fuad Helna Wardhana Heriyanto Heriyanto Imelda, Imelda Irwan Susanto Joewandewa Yuliansyah Khabib Mustofa Khoem Sambath Khoem Sambath Khofifah Putriyani Kristianto, Giovanny Bangun Maulida, Armeisa Ahda Meliana Dewi Mellinevia Mahera Morleedia Adi Yahya Muhammad Akbar Setiawan Muhammad Amien Sidiq Muhammad Nabil Irfanurhalim Nathanael Andra Wijaya Naurah Qatrunnada Ni'mah Al Kautsar, Annisa Wahidhatun Nicolaus Euclides Wahyu Nugroho Ningrum, Ema Wahyu Novi Ika Atikah Novi Ika Atikah Novian Adi Prasetyo Prasetyo Yuliantoro Rajermani Thinakaran Retantyo Wardoyo Ridwan Pandiya Robert Hendra Yudianto Rr. Setyawati Sevia Indah Purnama Silvia Van Marsally Singgih Briandoko Singgih Setia Andiko Singgih Setia Andiko Tantan Taryono Tantan Taryono Teotino Gomes Soares Teotino Gomes Soares Teotino Gomes Soares Teotino Gomes Soares Vern Rahmah Solehah Wirakhmi, Ikit Netra Yakan Khomsi Pane, Sayyid Yogo Dwi Prasetyo Zakiyah Apriliya Budiarti Zein Hanni Pradana