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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Penelitian Pendidikan IPA (JPPIPA) Community Development Journal: Jurnal Pengabdian Masyarakat Dharmas Education Journal (DE_Journal) Digital Transformation Technology (Digitech) Safari : Jurnal Pengabdian Masyarakat Indonesia Jurnal Sains dan Teknologi Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Ilmiah Ekonomi, Manajemen dan Bisnis (EKMABIS) Jurnal Ekualisasi Journal of Community Research & Engagement (JCRE)
Sitti Aliyah Azzahra
STIE Ganesha
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Journal : Jurnal Sains dan Teknologi

 1 
Integrasi Kecerdasan Buatan Dalam Sistem Rekomendasi Produk Untuk E-Commerce Sitti Aliyah Azzahra; Syafran Nurrahman; Aep Saefullah
Jurnal Sains dan Teknologi Vol. 3 No. 1 (2024): Juni : Jurnal Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/saintek.v3i1.394

Abstract

The increasing popularity of e-commerce has driven the development of more sophisticated product recommendation systems to enhance user experience. Within this framework, the incorporation of Artificial Intelligence (AI) has become essential for enhancing the caliber of product suggestions through the examination of user behavioral patterns and product attributes. This paper explores the incorporation of artificial intelligence into e-commerce product recommendation systems. This strategy integrates AI methodologies like machine learning, data mining, and natural language processing (NLP) to produce recommendation systems that are personalized and pertinent. Through in-depth analysis of user data and product information, the system can predict user preferences with higher accuracy, improve user engagement levels, and ultimately increase sales conversions. By combining domain knowledge, technical expertise, and the latest research methodologies, This research offers valuable insights for both e-commerce system developers and artificial intelligence researchers. The integration of artificial intelligence into product recommendation systems represents a critical measure in facilitating growth and fostering innovation within the ever-changing e-commerce landscape.
Transformasi Digital dalam Pengelolaan Data Hewan Kurban Berbasis Web di Masjid Baiturahhman Sitti Aliyah Azzahra; Adi Wicaksono
Jurnal Sains dan Teknologi Vol. 3 No. 1 (2024): Juni : Jurnal Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/saintek.v3i1.542

Abstract

This community service activity aims to develop a web app for the management of sacrificial animal operations, covering the entire process from ordering to meat distribution. The development methodology integrates Agile, DevOps, and Design Thinking. The study focuses on Masjid Baiturrahman located at Jl. Legoso Raya No. 31B, RT 06 RW 07, Pisangan Village, Ciputat Timur District, South Tangerang City. Agile methodology ensures iterative and adaptive development based on user feedback. DevOps automates integration and ensures continuous delivery, facilitating rapid and reliable deployment. Design Thinking guides user-centered solution design through stages of empathize, define, ideate, prototype, and test. This activity resulted in a web-based application that can be used by the management of DKM Masjid Baiturrahman for managing sacrificial animal data. This web-based application is capable of enhancing efficiency, accuracy, and transparency in all stages of the ordering, slaughtering, and meat distribution processes. Moreover, it assists DKM in digitally managing sacrificial animal data, ultimately improving operational performance and congregational trust in the sacrificial process.
Co-Authors Abas, Farhat Adhy Firdaus Adi Wicaksono Aep Saefullah Ahmad Fadli Ahmad Fadli Aini, Emizatul Arief Wibowo Ayu Sri Rahayu Ekky Noviar Elvira Sitna Hajar Farhat Abas Febri Febri Firdaus , Adhy Frisca Trianandya Halim Tjiwidjaja Haria Saputri Hartono, Rudi Hendra Candra Hendra Saputra Hendra Saputra Intan Permana Lestari Jayaun Jayaun Jayaun, Jayaun Joned C. Saksana Joned Ceilendra Saksana Koesmawan , Koesmawan Koesmawan Koesmawan Lazuardi, Akbar Lena Farsiah Mathoda Mathoda Mathoda, Mathoda Moh. Tahang Muhammad Ramdhan Noor, M. Arief Noorwindy Zelandiana Nur Fitri Kusumaningrum Nurdin Nurhakim, Rahman Nurhayati Nurhayati Nurhayati Nurhayati Nurhidayat, M. Nurrahman, Syafran Putera, Alifi Restu Putra, Idrisi Raliya Rachman Upe Rahmawati, Fitri Dwi Ramdhan , Muhammad Ratna Sari Resya Sukmara Rudi Hartono Salima, Rianti Suharmanto Suhermanto Suhermanto Suhermanto, Suhermanto Sukmara, Resya Sutariyono Sutariyono Sutaryono Syafran Nurrahman Syafran Nurrahman Syarif Hidayatullah T. Ramli Zakaria Tafsiruddin, M. Tetty Nur Intan Rifia Tohiroh Tohiroh Tohiroh, Tohiroh Trianandya, Frisca Upe , Rachman WISNU SAPUTRA Zainuddin, Zulkifli Zakaria, T. Ramli Zelandiana, Noorwindy Zulkifli Zainudidin