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All Journal Jurnal Pekommas CogITo Smart Journal ILKOM Jurnal Ilmiah JurTI (JURNAL TEKNOLOGI INFORMASI) Joined Journal (Journal of Informatics Education) Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Agents: Journal of Artificial Intelligence and Data Science Journal Entrepreneurship Digital
ST. Aminah Dinayati Ghani
Universitas Dipa Makassar
Arts Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : Agents: Journal of Artificial Intelligence and Data Science

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Rancang Bangun Aplikasi Katalog Augmented Reality Design Setup Ruang Kerja Minimalis berbasis Android ST. Aminah Dinayati Ghani; Andi Alfian
AGENTS: Journal of Artificial Intelligence and Data Science Vol 3 No 2 (2023): Maret - Agustus
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jagti.v3i2.66

Abstract

This research is motivated by the use of Augmented Reality on the catalog page which can help clients see visualizations of the Interior design of a minimalist workspace based on the desired Interior theme in 3-dimensional form. The problem that arises is how to build an application that can scan 3D objects on catalog pages along with interesting workspace concept information by utilizing Android-based devices. The purpose of this study is to design a catalog information media that can display the Interior design of a minimalist workspace by utilizing Augmented Reality features into Android-based devices. This application was created using the C# programming language and uses Unity 3D Engine, SketchUp, and Photoshop software. Functionally testing the software on catalog applications using the blackbox method. The applications resulting from this research can help clients see the theme of minimalist workspace design designed to attract clients' attention in visualizing into the form of 3D objects
Tinjauan Sentimen Terhadap Ulasan Aplikasi Peminjaman Online dengan Metode Support Vector Machine (SVM) ST. Aminah Dinayati Ghani; Nur Salman Nur Salman; Farhan Wahyuta Kusuma Farhan Wahyuta Kusuma
AGENTS: Journal of Artificial Intelligence and Data Science Vol 4 No 1 (2024): Vol 4 No 1 (2024): September - Februari
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jagti.v4i1.74

Abstract

Online loans, abbreviated as "Pinjol," refer to the practice of lending money online through applications or websites without involving traditional financial institutions such as banks or other traditional creditors. Examples of applications in this field include AkuLaku and Kredivo. These apps operate in the e-commerce and credit provision sectors in Southeast Asia, including Indonesia. Despite their operational strengths, these applications have both advantages and disadvantages, leading to positive and negative reviews on platforms like the Play Store. The research aims to identify positive and negative reviews within these online loan applications that can influence users' decisions when choosing a particular app. SVM classification technique is employed to analyze positive and negative sentiments from these reviews. The accuracy results obtained after sentiment analysis for Kredivo are 81%, while for AkuLaku, it is 75%. A higher accuracy value indicates a better ability of the model to predict sentiments correctly. Visualization of impactful words based on word frequency is presented in the form of a Word Cloud. Therefore, based on the sentiment analysis conducted using the SVM model, the author suggests choosing the Kredivo app when selecting an online loan application, as the analysis indicates that Kredivo has better quality compared to AkuLaku.
Co-Authors Andi Alfian Aswar TC. Koswara Donny Liklikwatil , Rudy Farhan Wahyuta Kusuma Farhan Wahyuta Kusuma Fatmasari , Fatmasari Indo Intan Maria Nova Sarembona Moh. Rifkan Muhammad Agus Muljanto MUHAMMAD RIZAL Nurdin Nurdin Nurdin Nurdin Rismayani Rismayani Rudy Donny Liklikwatil Salman, Nur Siti Hajratul Aswa Sitti Aisa Suryani Suryani Syamsul Bahri