Article Per Year (5 Year)
p-Index From 2021 - 2026
4.478
P-Index
This Author published in this journals
All Journal Rekursif: Jurnal Informatika Jurnal Pseudocode JURNAL PENGABDIAN KEPADA MASYARAKAT Voice Of Informatics JSAI (Journal Scientific and Applied Informatics) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat (ABDIRA) TRIBUTE: JOURNAL OF COMMUNITY SERVICES TEKNOSIA Jurnal Informatika: Jurnal Pengembangan IT Abdi Reksa
Julia Purnama Sari
Universitas Bengkulu
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences Transportation Other

Published : 35 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 35 Documents
Search

 1   2   3   4 
PENINGKATAN KOMPETENSI GURU PAUD PERSADA KEMUMU DALAM PEMBUATAN MEDIA PEMBELAJARAN BERBASIS ARTIFICIAL INTELLIGENCE (AI) Julia Purnama Sari; Widhia Oktoeberza Kz; Melia Eka Daryati
TRIBUTE: JOURNAL OF COMMUNITY SERVICES Vol. 7 No. 1 (2026)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/tribute.v7i1.45236

Abstract

Kualitas pembelajaran yang optimal pada Pendidikan Anak Usia Dini (PAUD) sangat bergantung pada kreativitas guru dalam menyajikan metode yang menarik dan sesuai perkembangan zaman. Namun, berdasarkan observasi yang dilakukan pada Paud Persada Kemumu Bengkulu Utara ditemukan bahwa guru-guru di sana sebagian besar belum pernah mendapatkan pelatihan terkait integrasi teknologi atau Artificial Intelligence dalam pembelajaran. Meskipun infrastruktur seperti ruang kelas, listrik, laptop, dan internet sudah tersedia, rendahnya literasi digital menjadi hambatan utama dalam pemanfaatan teknologi. Hal ini mengindikasikan kebutuhan mendesak akan peningkatan kompetensi guru dalam membuat media pembelajaran berbasis teknologi, terutama AI. Pemanfaatan media pembelajaran digital dapat membuat proses belajar menjadi lebih menyenangkan dan efektif. Dengan demikian, tujuan dari kegiatan ini adalah untuk meningkatkan kualitas pembelajaran di PAUD Persada Kelurahan Kemumu melalui penguatan kompetensi guru dalam pemanfaatan teknologi, khususnya Artificial Intelligence (AI), sebagai bagian dari inovasi pembelajaran anak usia dini. Metode yang digunakan dalam kegiatan ini adalah metode ceramah dengan pemberian materi terkait AI dan ChatGPT, serta praktik pembuatan media pembelajaran menggunakan ChatGPT. Evaluasi kegiatan ini dilakukan melalui pre-test dan post-test. Hasil evaluasi tersebut menunjukkan peningkatan signifikan dalam pemahaman peserta terhadap materi.
BUDIDAYA BELUT DI LAHAN MINIMALIS DALAM UPAYA MENINGKATKAN MUTU GIZI KELUARGA DI KELURAHAN BERINGIN RAYA KECAMATAN MUARA BANGKAHULU KOTA BENGKULU Ayub Sugara, S.Kel., M.Si; Bustanuddin Lubis; Julia Purnama Sari; Nella Tri Agustini; Feri Nugroho
TRIBUTE: JOURNAL OF COMMUNITY SERVICES Vol. 7 No. 1 (2026)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/tribute.v7i1.48556

Abstract

Program pengabdian kepada masyarakat ini berjudul “Budidaya Belut di Lahan Minimalis dalam Upaya Meningkatkan Mutu Gizi Keluarga di Kelurahan Beringin Raya Kecamatan Muara Bangkahulu Kota Bengkulu.” Kegiatan ini dilatarbelakangi oleh Kebutuhan akan gizi keluarga, khususnya protein hewani, semakin meningkat seiring dengan kesadaran masyarakat tentang pentingnya pola makan sehat dan seimbang. Namun, tidak jarang pemenuhan gizi tersebut terkendala oleh keterbatasan ekonomi maupun akses terhadap bahan pangan bergizi. Selain itu keterbatasan lahan pekarangan di kawasan perkotaan serta kebutuhan masyarakat akan sumber pangan bergizi dan bernilai ekonomis. Belut (Monopterus albus) merupakan salah satu komoditas perikanan air tawar yang kaya protein, mudah dibudidayakan, dan memiliki prospek pasar yang menjanjikan. Rumusan masalah dalam program ini adalah: (1) bagaimana memanfaatkan lahan pekarangan yang sempit untuk usaha produktif, (2) bagaimana meningkatkan pemenuhan gizi keluarga melalui hasil budidaya belut, serta (3) bagaimana menumbuhkan kemandirian masyarakat dalam pengelolaan usaha kecil berbasis rumah tangga. Rencana kegiatan pengabdian masyarakat ini dilaksanakan pada 1 oktober – 15 november tahun 2025 di RT 04 RW 05 Kelurahan Beringin Raya Kota Bengkulu. Kegiatan beternak belut di pekarangan rumah tidak hanya memberikan solusi atas kebutuhan gizi keluarga, tetapi juga membuka peluang bagi masyarakat untuk memperoleh tambahan penghasilan. Oleh karena itu, melalui proposal ini diajukan program “Budidaya Belut Di Lahan Minimalis Dalam Upaya Meningkatkan Mutu Gizi Keluarga Di Kelurahan Beringin Raya Kecamatan Muara Bangkahulu Kota Bengkulu” sebagai salah satu upaya nyata dalam meningkatkan ketahanan pangan keluarga sekaligus pemberdayaan ekonomi rumah tangga.
IDENTIFIKASI HIPERTENSI DARI DATA GENOMIC MENGGUNAKAN HYBRID CNN-K MEAN CLUSTERING nehemiaals Lady; Ernawati Ernawati; Julia Purnama Sari
Rekursif: Jurnal Informatika Vol 14 No 1 (2026): Volume 14 Nomor 1 Maret 2026
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v14i1.47435

Abstract

Hypertension is a degenerative disease that ranks as a leading cause of death worldwide. Early detection and accurate classification of hypertension patients are crucial for appropriate and effective treatment. Genetic factors contribute to the risk of hypertension in 30–60% of individuals. Multifactorial and asymptomatic hypertension complicates detection and prediction, necessitating the development of a Hybrid CNN K-Mean Clustering model to predict hypertension. This research method uses a hybrid CNN and K-Means Clustering to analyze genomic data in the form of Single Nucleotide Polymorphisms (SNPs). The results showed 100% classification accuracy with evaluation metrics such as 100% precision, 100% recall, and 100% F1-score, indicating the model's excellent ability to recognize and classify results.
Implementasi Metode Topsis Pada Sistem Pendukung Keputusan Penentuan Prioritas Penerima Bantuan Mesin Untuk Sentra Ikm Berbasis Website (Studi Kasus : Dinas Perindustrian Dan Perdagangan Provinsi Bengkulu) Exca Wella Monica; Desi Andreswari; Julia Purnama Sari
Jurnal Pseudocode Vol 13 No 1 (2026): Volume 13 Nomor 1 Februari 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.13.1.82-88

Abstract

The industrial sector is one of the economic sectors being developed in Indonesia as a driving force for the progress of other economic sectors. One form of this is the Small and Medium Industries (SMEs), which are quite dependent on government assistance, both in terms of capital and equipment. One of the government programs to advance SMEs is the provision of machinery assistance to SME centers. In practice, the selection process for machine assistance recipients at the Bengkulu Industry and Trade Office still uses Microsoft Excel, which has limitations, including the risk of human error, logical errors in formulas, differences in results due to rounding numbers, and a lack of objectivity in assessments. Therefore, a Decision Support System (DSS) is needed to minimize errors, producing more objective, transparent, and accurate decisions. This study uses the TOPSIS method to calculate the preference value of SMEs and data aggregation techniques (averages) to calculate the final value of SME centers. The resulting output is a ranking of SME centers eligible for machine assistance. Of the total of 26 comparisons between the rankings from the system and the rankings from the Industry and Trade Office, 20 rankings were obtained that were the same, so that the system accuracy reached 76.92%. Furthermore, the system's feasibility test achieved an interval score of 4.6, or 92%, which is considered very good. The final result of this research is the creation of a website-based decision support system for prioritizing recipients of machine assistance for small and medium enterprises SME centers.
Inovasi Media Pembelajaran Tematik Kontekstual Berbasis Multikultural: Kolaborasi Penguatan Kemitraan PAUD dan Orang Tua Melia Eka Daryati; Julia Purnama Sari; Didik Suryadi
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 6, No 2 (2026): Abdira
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v6i2.1401

Abstract

Strengthening partnerships between early childhood education institutions and parents is an important strategy in supporting optimal child growth and development. However, facts on the ground show that parental involvement in the learning process is still limited, so there is a need for innovative learning media that connects the roles of teachers and parents. The community service activity aims to improve the understanding and skills of early childhood teachers and parents in using contextual thematic learning media based on multicultural wisdom. The community service method involved counseling, training, and collaborative assistance. There were 25 participants consisting of PAUD teachers and parents of students. The evaluation results showed a significant increase in understanding from a pre-test score of 55.8 to a post-test score of 88.4, with an average increase of 32.6 points. These findings show that the innovation of learning media based on multicultural values not only strengthens the role of parents in children's education but also creates a more contextual and inclusive learning environment. This community service activity contributes to the establishment of a sustainable partnership between early childhood education and parents in supporting the quality of early childhood education.
Co-Authors Aan Erlansari Ade Sri Wahyuni Adhadi Kurniawan Adjie Mahreza Amir Husaini Karim Amrullah Annisa Fitria Edriani Arinda Safitri Ayub Sugara Bismantolo, Putra Bustanuddin Lubis Chaidirrahman Debby Seftyarizki Desi Andreswari Didik Suryadi Dimas Mulianto Wibowo Dyah Apriliani Endina Putri Purwandari Ernawati Ernawati Ernawati Ernawati Esti Asmareta Ayu Exca Wella Monica Feri Nugroho Ferzha Putra Utama funny farady Coastera Indra Agustian Intan Putri Atma Lediwara, Nadiza Lendra Kristian Makhrian, Andy Melia Eka Daryati Mochammad Yusa Mochammad Yusa Muhammad Khairul Amri Rosa Muhammad Naufal Faruqhy Nabilah Ghinanti Suci nehemiaals Lady Nella Tri Agustini, Nella Tri Niska Ramadani Nur Annisa Apriliani Herman Putri Nurul Renaningtias rusdi - efendi Rusdi Efendi Ruvita Faurina Surapati, Alex Syofian Irwanda Taufik Aprian Endi Teddy Alfra Siagian Tiara Eka Putri Tiara Elsi Febrianti Utama, Ferzha Putra Vinta Asmika Widhia Oktoeberza KZ Yanolanda Suzantry Handayani