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All Journal TEKNIK INFORMATIKA JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Mantik Penusa MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Varian Jurnal SASAK : Desain Visual dan Komunikasi Jurnal Bumigora Information Technology (BITe) Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Abdi Masyarakat Indonesia Indo-MathEdu Intellectuals Journal Abdi Widya: Jurnal Pengabdian Masyarakat Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Jurnal Ilmiah Pengabdian dan Inovasi INTAN CENDEKIA: JURNAL PENGABDIAN MASYARAKAT EMPOWERMENT: Journal of Community Practice
Anthony Anggrawan
Ilmu Komputer, Fakultas Teknik, Universitas Bumigora
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Meningkatkan Kemampuan Public Speaking pada Anak di Panti Asuhan Melalui Pendekatan Latihan Mandiri dan Lingkungan Sosial Patty, Elyakim Nova Supriyedi; Anggrawan, Anthony; Hidjah, Khasnur; Miswaty, Titik Ceriyani
EMPOWERMENT: Journal of Community Practice Vol. 2 No. 1 (2025): EMPOWERMENT: Journal of Community Practice
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/empow.v2i1.40

Abstract

This service program aims to improve the public speaking skills of children at the Patmos Orphanage through an approach that involves independent training, educational games, and social support from Bumigora University students who are members of UKM Oikumene. The methods used in this program include the delivery of material through presentations, questions and answers, and active games such as marbles relays on a spoon, chain stories, and guessing styles. The program involved 30 children as participants who were guided by students to develop public speaking skills. Data analysis is carried out qualitatively with the stages of data reduction, data presentation, and conclusion drawing. The results of the service showed that this approach was effective in helping children be more confident in speaking in front of others, both in informal and formal contexts. The involvement of students as facilitators provides social support that strengthens the learning process, so that children feel more comfortable and excited in practicing. The novelty of this research lies in the application of fun and interactive methods to develop soft skills of children in orphanages. This program contributes to the development of children's communication skills as part of efforts to improve the quality of human resources in Indonesia
Multi-Algorithm Approach to Enhancing Social Assistance Efficiency Through Accurate Poverty Classification Satria, Christofer; Sugijanto, Peter Wijaya; Anggrawan, Anthony; Sumadewa, I Nyoman Yoga; Dayani, Aprilia Dwi; Anggriani, Rini
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 24 No. 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i1.4275

Abstract

The determination of poverty status in Lombok Utara district depends on criteria such as income, access to health and education services, and housing conditions. These factors are crucial for assessing the level of community welfare and guiding the allocation of social assistance by the district government. The purpose of this study is to address the gap by utilizing advanced data mining techniques to improve the accuracy of poverty status classification in North Lombok, thereby informing more effective social assistance policies. The method used in this research is the Random Forest (RF), K-Nearest Neighbor (KNN) and Naïve Bayes with split data 80% data training and 20% data testing. The finding indicated that the machine learning model the RF algorithm, which achieved an accuracy rate of 82.56%, proved to play an important role in this process by effectively distinguishing between different categories of poverty based on these criteria. In comparison, the KNN algorithm achieved an accuracy of 70.94% and the Naïve Bayes model achieved an accuracy of 53.47%. It means that the machine learning model using the RF algorithm has more accurate accuracy than the KNN and Naïve Bayes algorithm in predicting or recommending Recipients of Social Assistance from the District Government. The implication is that RF machine learning can help the role of social service officers in predicting the economic status of the community. The high accuracy of the RF algorithm enhances its role in informing targeted policy decisions and optimizing the effectiveness of social assistance programs. Nonetheless, continuous improvement is essential to refine the model's predictive capabilities and ensure the accuracy and reliability of poverty assessments. These continuous improvements are essential to effectively alleviate poverty and break the cycle of socio-economic disparities in the region.
Co-Authors Abdul Rahim Ahmat Adil Alfilail, Nur Anggriani, Rini Aprilia Dwi Dayani Ariq, Tomy Ayu Dasriani, Ni Gusti Azhar, Raisul Azhari Azhari Bidari Andaru Widhi Cahyadi, Irwan Canggih Wahyu Rinaldi Cecep Kusmana Christofer Satria christofer satria Dadang Priyanto Dadang Pyanto Dafa Awanta Dayani, Aprilia Dwi Dedi Aprianto Dewa Ayu Oki Astarini Diah Supatmiwati Dian Syafitri Chani Saputri Dias Nabila Huda Didiharyono, D. Donny Kurniawan Dwi Kurnianingsih Dyah Susilowati Dyah Susilowati Efrizoni, Lusiana Elyakim Nova Supriyedi Patty, Elyakim Nova Supriyedi Erwin Suhendra Fadiel Rahmad Hidayat Hairani Hairani Haryono Haryono Hasbullah Hasbullah Hasbullah Helna Wardhana Hengki Tamando Sihotang Herawati, Baiq Candra Hilda Hastuti Huda, Dias Nabila Husain Husain I Nyoman Subudiartha I Nyoman Yoga Sumadewa I Nyoman Yoga Sumadewa Ikang Murapi Irwan Cahyadi Jean Suciasti Gunawan Junendri Ardian Kamil, Wahyu Katarina Katarina Khairan marzuki Khasnur Hidjah Kurniadin Abd Latif Lalau Ganda Rady Putra Lalu Ganda Rady Putra Lanang Sakti Lutfie, Muhammad Hilal Mumtaz M Najmul Fadli M. Ade Candra M. Thontowi Jauhari Mardedi, Lalu Zazuli Azhar Mayadi Mayadi Mayadi Mayadi Miswaty, Titik Ceriyani Mokhammad Nurkholis Abdillah Muhammad Innuddin Muhammad Ridho Akbar Muhammad Rosikhu MUHAMMAD TAJUDDIN Muhammad Zaki Pahrul Hadi Muhammad Zulfikri Muhsin, Lalu Busyairi Nurhidayati, Maulida Nurul Azmi Nurul Hidayah Peter Wijaya Sugijanto Primajati, Gilang Purnama, Baiq Kartika Putu Tisna Putra R. Ayu Ida Aryani Raden Bagus Faizal Irani Sidharta Rahmat Maulana Rahmawati, Lela Rahmiati, Baiq Fitria Rini Anggriani Rini Anggriani Riosatria Riosatria Riosatria, Riosatria Santoso, Heroe Sarjon Defit Satuang Satuang Sirojul Hadi Siti Soraya Sri Astuti Iriyani Sugijanto, Peter Wijaya Sunardy Kasim Supriantono, Herman Sutarman Syahrir, Moch. Syamsurrijal Syamsurrijal Tomi Tri Sujaka Triwijoyo, Bambang Krismono v, Sovian Veithzal Rivai Zainal Wayan Canny Naktiany Wenny Wijaya Wiya Suktiningsih Zulkipli Zulkipli