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All Journal West Science Social and Humanities Studies Jurnal Pengabdian Masyarakat Nusantara
Sitti Rahmah
Universitas Widya Gama Mahakam Samarinda
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences

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Evolution of the Use of Artificial Intelligence in Mobile Applications to Improve the Efficiency of Public Service Loso Judijanto; Arief Yanto Rukmana; Aldi Bastiatul Fawait; Sitti Rahmah; Sugiarto Sugiarto
West Science Social and Humanities Studies Vol. 2 No. 11 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i11.1457

Abstract

The integration of artificial intelligence (AI) into mobile applications has transformed public service delivery by enhancing efficiency, accessibility, and responsiveness. This study employs a bibliometric approach to analyze the evolution of AI applications in public service, focusing on research trends, key contributors, and thematic developments from 2000 to 2024. The findings reveal a rapid increase in research output since 2018, driven by advancements in enabling technologies such as IoT, 5G, and machine learning, as well as global challenges like the COVID-19 pandemic. Key application areas identified include healthcare, smart cities, and governance, with AI-powered mobile apps demonstrating significant potential in addressing societal needs. However, challenges related to data privacy, algorithmic bias, and technical infrastructure persist. This study underscores the importance of ethical frameworks, interdisciplinary collaboration, and localized solutions to maximize the impact of AI in public service delivery. The findings offer valuable insights for researchers, practitioners, and policymakers seeking to leverage AI for smarter and more equitable public services.
EDUKASI PENTINGNYA DATA SCIENCE DI DUNIA PENDIDIKAN UNTUK MENINGKATKAN KUALITAS PENDIDIKAN Yudhi Fajar Saputra; Muh Jamil; Sitti Rahmah; Aldi Bastiatul Fawait; Milkhatun Milkhatun
Jurnal Pengabdian Masyarakat Nusantara Vol. 3 No. 1 (2024): Jurnalpkm.org
Publisher : Open Edutech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63183/591627

Abstract

Salah satu domain dari Artificial Itellegence adalah data science, dimana dapat meramalkan, memprediksi, dan merekomendasikan melalui data yang sudah diolah. Data science memiliki peran yang signifikan dalam dunia pendidikan, beberapa peran utama data science dalam konteks pendidikan adalah analisis kinerja siswa, pengelolaan kurikulum (pengembangan kurikulum dan optimasi materi pembelajaran atau bahan ajar), prediksi dropout dan intervensi dini, pengelolaan sumber daya sekolah (perencanaan keuangan dan manajemen tenaga pendidik), evaluasi kinerja sekolah, dan pengembangan teknologi pendidikan. Penerapan data science dalam pendidikan dapat membantu meningkatkan efektivitas pembelajaran, mengoptimalkan pengelolaan sumber daya, dan memberikan solusi yang lebih adaptif sesuai dengan kebutuhan individu, namun sayangnya data science belum banyak dikenal pada kalangan masyarakat luas khususnya di dunia pendidikan, maka dari itu Para pelajar dan akademisi perlu diperkenalkan dengan data science. Sebagai usaha untuk melaksanakan pengabdian kepada masyarakat, maka dilaksanakan edukasi mengenai data science yang dilaksanakan oleh dosen Universitas Widya Gama Mahakam Samarinda sebagai nara sumber. Materi yang disampaikan terdiri dari alasan mengapa diperlukannya data science, pengenalan dasar data science, persyaratan menjadi data scientist, data mining dan big data yang merupakan bagian penting dari data science dan contoh pengolahan data science. Tahapan pelaksanaan kegiatan terdiri dari persiapan, sosialisasi, pelaksanaan, dan evaluasi
Co-Authors Aldi Bastiatul Fawait Fawait Arief Yanto Rukmana Loso Judijanto Milkhatun, Milkhatun Muh Jamil Sugiarto Sugiarto Yudhi Fajar Saputra