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All Journal E-SOSPOL Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT JMIE (Journal of Madrasah Ibtidaiyah Education) JURNAL KESEHATAN DELIMA PELAMONIA Jurnal Ilmiah Profesi Pendidikan Jurnal Teknik Informatika (JUTIF) Jurnal Komtekinfo Jurnal Pengabdian Masyarakat Bhinneka Jurnal Riset Mahasiswa Matematika Jurnal Ilmiah Pengabdian Kepada Masyarakat Sahabat Sosial: Jurnal Pengabdian Masyarakat Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Kajian Ilmiah Mahasiswa Administrasi Publik (KIMAP) Journal of Research on Community Engagement
Dian Maharani, Dian
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Nursing Public Health Social Sciences Other

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Pemberdayaan Masyarakat Sekitar Masjid Al-Birr Desa Purwodadi Donomulyo Melalui Pengolahan Bahan Pangan Berbasis Ketela Pohon Maharani, Dian; Kusumastuti, Ari; Zahroh, Fatmawati; Anggraeni, Nurul; Sukron, Muhammad
JRCE (Journal of Research on Community Engagement) Vol 6, No 2 (2025): Journal of Research on Community Engagement
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrce.v6i2.26718

Abstract

The mosque, which has often been used primarily as a place of worship, was also utilized as a gathering and consultation space in this research to discover new breakthroughs in launching a new agricultural processing business. In this study, the community around Masjid Al-Birr in Purwodadi Village, Donomulyo District, was trained to create cassava-based brownies and noodles. The aim of this training was to expand the community's thinking to generate new business ideas while providing innovation in cassava processing. The training took place from May to June 2023. As a result, the community showed enthusiasm and was capable of producing brownies and noodles using cassava as the main ingredient.
Pembelajaran Melalui Dongeng dan Permainan di TK Mawar Indah 01 Kota Batu Maharani, Dian; Fauzi, Deri
JRCE (Journal of Research on Community Engagement) Vol 3, No 2 (2022): Journal of Research on Community Engagement
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrce.v3i2.15135

Abstract

KKM-DR is a compulsory course for every student in UIN Maulana Malik Ibrahim Malang who already passed at least 100 credits. This year, a team of KKM-DR students choose Sidomulyo Village to be their destination village. They were asked to teach in TK Mawar Indah 01. The learning methods they used are learning by games and fairy tales. By using this method, students learn to use their motoric, learn about color, geometric shapes, counting, reading, and learn about nature.
Adaptive Maze-Based Islamic Educational Games Using MOORA Method Nugroho, Fresy; Ridho, Muhammad; Melani, Roro Inda; Pebrianti, Dwi; Hammad, Jehad AH; Lestari, Tri Mukti; Maharani, Dian; Nurrahma ‘N, Alfina
Jurnal Nasional Pendidikan Teknik Informatika: JANAPATI Vol. 14 No. 2 (2025)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v14i2.100064

Abstract

The degradation of students' knowledge in Islamic education is increasingly concerning, driven by the negative influence of internet exposure. This study develops an educational game, Harta Karun Pengetahuan, as an interactive gamified learning medium incorporating core Islamic content. The game applies adaptive difficulty adjustment using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method based on player performance. The success of the MOORA method in providing recommendations for players is shown by how players will be directed to the next maze according to the success of the previous game. The game was tested with 20 students (aged 18–21) with two approaches evaluation, the System Usability Scale (SUS) and the Igroup Presence Questionnaire (IPQ), achieving an average SUS score of 84 (indicating high usability) and an overall IPQ score of 4.64 (indicating strong player immersion). Results showed that General Presence and Involvement had the highest average scores, indicating that players felt emotionally engaged and present in the virtual learning world. Although the Realism dimension was generally positive, it suggests room for improvement in visual and interactive fidelity. The findings demonstrate that integrating Islamic content into digital games can provide meaningful learning experiences and support students in achieving cognitive, affective, and psychomotor competencies in a contextual IRE setting.
SOSIALISASI PELAKSANAAN KEGIATAN DESTINATION BRANDING SECARA DIGITAL BAGI MASYARAKAT KAMPOENG PINTAR OASE TEMBOK GEDE RT 03 RW 02 KELURAHAN BUBUTAN KECAMATAN BUBUTAN Nalendra, Irham Wahid; Rahayu, Salsabila Putri; Maharani, Dian; Nusantara, Mhd Dharma Samudra; Rahmatin, Leily Suci
Jurnal Ilmiah Pengabdian Kepada Masyarakat Vol. 4 No. 3 (2025): JIPAM : Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : STAI Darul Qalam Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55883/jipam.v4i3.116

Abstract

Digital transformation has become a crucial necessity in developing regional potential, particularly in strengthening image and competitiveness in the information technology era. Kampoeng Pintar Oase Tembok Gede, a thematic village in Surabaya, holds great potential in MSMEs, educational tourism, and environmental innovation. However, the lack of public knowledge and skills in utilizing digital tools poses a significant barrier to effective branding efforts. Through an outreach program titled “Effective Digital Branding Strategies”, the SDGs Community Service Team (KKN) Group 2 from UPN Veteran East Java aimed to educate local residents about the importance of building a digital identity via social media platforms. The service method involved problem identification through interviews and field observation, planning educational materials and strategies, conducting participatory sessions, and performing evaluation through feedback and group discussions. The results indicated a high level of enthusiasm and active involvement from participants, who gained new insights into the fundamentals of digital branding, implementation strategies, and basic promotional content creation. The program successfully increased community awareness of the role of digital media in promoting local potential. Future recommendations include continuous follow-up in the form of technical training, mentoring in content creation, and the establishment of a village digital community hub for sustained digital literacy and branding efforts.activities such as technical training and digital mentoring are recommended to help establish a self-sustaining digital community in the area.
Identification of Skin Diseases in Toddlers Using Convolutional Neural Networks Maharani, Dian; Yuhandri; Very, Jhon
Jurnal KomtekInfo Vol. 12 No. 3 (2025): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v12i3.665

Abstract

The development of Artificial Intelligence (AI) technology, particularly in the field of computer vision, has made a significant contribution to medical image analysis. Skin disease in toddlers is a common health problem, especially in developing countries. Toddlers' skin is highly susceptible to various infections and dermatological conditions, ranging from bacterial and viral infections to allergies. Some skin diseases frequently found in toddlers include eczema, dermatitis, impetigo, and fungal infections. This study aims to develop a skin disease classification system in toddlers using the Convolutional Neural Network (CNN) method that can be implemented in applications. The Convolutional Neural Network (CNN) method and the U-Net architecture are used to identify skin diseases in toddlers, requiring a fast and accurate diagnosis, but limited medical personnel and examination time are challenges. A deep learning-based system is proposed to assist the automatic identification process. The research dataset consists of 100 toddler skin images obtained from Siti Rahmah Islamic Hospital, covering various types of common skin diseases. The preprocessing process includes cropping, resizing to 128x128 pixels, normalization, and data augmentation to increase the diversity of the dataset. The CNN architecture is used in the feature extraction stage through convolution and pooling layers, while the U-Net is applied in the segmentation stage to separate the wound area from healthy skin with high precision through the encoder-decoder mechanism and skip connection. The model is trained using the Adam optimization algorithm with the Binary Cross-Entropy loss function and the accuracy evaluation metric and Mean Intersection over Union (IoU). The results show that the system is able to segment the wound area with 95.7% accuracy on the test data, and produces fast and efficient detection. The application of the CNN and U-Net methods in this study proves its effectiveness in supporting the medical diagnosis process, especially in cases of toddler skin diseases, as well as can be a reference in contributing to improving the quality of health services, especially in the diagnosis of skin diseases in toddlers and the development of computer vision-based decision support systems in the health sector.
Penguatan Digitalisasi UMKM Desa Wonokromo sebagai Strategi Pemberdayaan Ekonomi Lokal Maharani, Dian; Prasetyo, Dimas; Rahman, Fathur; Afifah, Khornelia; Anas, Mahmud; Azizah, Nisak Nur; Az-zahra, Syaika Alifa; Rini, Winda Putri Setyo
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 2 (2025): Bulan November
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i2.569

Abstract

Perkembangan teknologi informasi dan komunikasi telah memberikan pengaruh signifikan terhadap berbagai sektor ekonomi, termasuk Usaha Mikro, Kecil, dan Menengah (UMKM). Meskipun memiliki potensi besar, banyak UMKM di wilayah pedesaan masih menghadapi kendala dalam hal literasi digital, keterampilan branding, dan akses ke pasar daring. Program pengabdian masyarakat yang dilaksanakan oleh tim Kuliah Kerja Nyata (KKN) Universitas Sebelas Maret di Desa Wonokromo, Kebumen, ini bertujuan untuk memperkuat digitalisasi UMKM melalui serangkaian kegiatan terstruktur. Program dilaksanakan dalam tiga tahap, yaitu: (1) observasi dan asesmen kebutuhan terhadap sembilan UMKM melalui kunjungan lapangan dan wawancara, (2) workshop yang diikuti 30 pelaku UMKM dengan menghadirkan dua praktisi industri sebagai narasumber, dan (3) pendampingan mandiri pada usaha Cidoi (Cilok Doa Ibu) sebagai proyek percontohan. Workshop mencakup materi pelabelan produk, packaging, branding, iklan, dan strategi pemasaran digital, sedangkan tahap pendampingan memberikan praktik langsung penggunaan vacuum sealer serta pembuatan akun marketplace di Shopee. Hasil kegiatan menunjukkan adanya peningkatan kualitas desain produk, kemasan, serta kesiapan UMKM untuk masuk ke pasar digital. Program ini tidak hanya meningkatkan literasi digital UMKM pedesaan, tetapi juga mendorong inovasi dan mendukung pemberdayaan ekonomi lokal yang berkelanjutan.
APPLICATION OF MULTI-CRITERIA PROMETHEE METHOD TO ASSIST CHARACTER SELECTION IN THE ENDLESS RUNNER GAME Nurrahma, Alfina; Nugroho, Fresy; Buditjahjanto, I.G.P. Asto; Pebrianti, Dwi; Hammad, Jehad A.H.; Fachri, Moch; Lestari, Tri Mukti; Maharani, Dian; Prakasa, Aji Bagas
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2183

Abstract

The endless runner game is one of the most popular game genres, but selecting the optimal character for different map challenges poses a significant problem for players. In this context, this research was conducted to help select characters in the endless runner game using the PROMETHEE method. This selection is recommended based on the weight and difficulty of each map which varies, including the rice field map, road map and alley map. The implementation of calculating character recommendations uses the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method with the highest score as the best ranking. Rank suitability can be determined by comparing the PROMETHEE method with the TOPSIS method on 15 characters alternatives with 6 criteria. As a result, the PROMETHEE method has significant value, but some still have the same best ranking as the TOPSIS method. Furthermore, usability testing was carried out on 57 respondents using the System Usability Scale (SUS) with an overall score from the evaluation of 78,8. The final score obtained based on the acceptance scale was included in the category suitable for use.
Hubungan antara Kecerdasan Verbal Lingustik dan Kebiasaan Literasi Informasi dengan Keterampilan Menulis Teks Pidato Siswa Kelas VIII SMP Negeri 2 Surakarta Maharani, Dian; Sumarwati, Sumarwati
Jurnal Ilmiah Profesi Pendidikan Vol. 11 No. 3 (2026): Agustus
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v11i3.5196

Abstract

Penelitian ini bertujuan untuk mengetahui korelasi antara kecerdasan verbal linguistik dan kebiasaan literasi informasi dengan keterampilan menulis teks pidato pada siswa kelas VIII SMP Negeri 2 Surakarta. Penelitian menggunakan pendekatan kuantitatif dengan metode pendekatan korelasional. Sampel penelitian terdiri atas 63 siswa yang diperoleh melalui teknik cluster random sampling. Data dikumpulkan menggunakan tes pilihan ganda untuk variabel kecerdasan verbal linguistik (X₁), angket skala Likert untuk variabel kebiasaan literasi informasi (X₂), dan tes unjuk kerja untuk variabel keterampilan menulis teks pidato (Y). Analisis data menggunakan teknik korelasi dan regresi linear, baik sederhana maupun ganda. Pengujian persyaratan analisis meliputi uji normalitas dengan teknik Lilliefors serta uji linearitas dan keberartian regresi. Hasil penelitian menunjukkan: (1) terdapat hubungan positif yang signifikan antara kecerdasan verbal linguistik dengan keterampilan menulis teks pidato (r = 0,82; kontribusi 67,24%); (2) terdapat hubungan positif yang signifikan antara kebiasaan literasi informasi dengan keterampilan menulis teks pidato (r = 0,77; kontribusi 59,29%); dan (3) terdapat hubungan positif yang signifikan antara kecerdasan verbal linguistik dan kebiasaan literasi informasi secara bersama-sama dengan keterampilan menulis teks pidato (R = 0,77; kontribusi 59,29%). Temuan ini mengimplikasikan bahwa pengembangan kecerdasan verbal linguistik dan pembiasaan literasi informasi merupakan faktor penting dalam upaya peningkatan keterampilan menulis teks pidato siswa.
Co-Authors Afifah, Khornelia Agustiardani, Salsa Pramudhita Amin Sadiqin Anas, Mahmud Anggraeni, Nurul Anggraini Puspita Sari Ari Kusumastuti Az-zahra, Syaika Alifa Azizah, Nisak Nur Buhari, Suharti Dardi, Satriana Dimas Prasetyo Elizabeth, Caritta ERMA PUSPITA SARI Erna Herawati, Erna Etty Pratiwi, Etty Fachri, Moch Fathur Rahman Fatmawati Zahroh Fauzi, Deri Fresy Nugroho Hammad, Jehad A.H. Hammad, Jehad AH I Gusti Putu Asto Buditjahjanto Ismail, Nurus Shubhiyyah Lestari, Tri Mukti Maharani, Wilda Nidia Muhammad Ridho Muhammad Sukron, Muhammad Multazam, Multazam Nalendra, Irham Wahid Nurhaedar Jafar Nurrahma ‘N, Alfina Nurrahma, Alfina Nurul Hikmah Nusantara, Mhd Dharma Samudra Parawu, Hafiz Elfiansyah Patricia Lubis, Patricia Pebrianti, Dwi Prakasa, Aji Bagas PUTU LUSITA NATI INDRIANI Rahayu, Salsabila Putri Rahmatin, Leily Suci Rini, Winda Putri Setyo Roro Inda Melani Rosmaya, Dwi Ajeng Sa'adah, Qorina Septyana, Dwitamara Sudarmi Sudarmi Sumarwati Syech Hariyono Treasa, Adisty Dwi Very, Jhon Yuhandri Yuhandri, Yuhandri