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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Salome: Multidisipliner Keilmuan
Putri Yuli Utami
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Religion Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Medicine & Pharmacology Social Sciences

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PERANCANGAN UI/UX ADHA KOST MENGGUNAKAN METODE DESIGN THINKING Fathan Fakhrana Auafar; Putri Yuli Utami; Rizki Surtiyan Surya
Jurnal Salome : Multidisipliner Keilmuan Vol. 3 No. 1 (2025): Januari
Publisher : CV. ADIBA AISHA AMIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of the boarding house business in the city of Pontianak is increasing, but this does not necessarily mean that potential consumers can easily find boarding houses. Information obtained from various media created by boarding house owners, such as uploading photos and videos on social media platforms such as Facebook, Instagram and others, is considered to be less effective. The design thinking method is a collaborative method that collects many ideas to obtain a solution. Design Thinking has comprehensive thinking to get a solution with 5 method stages, namely empathize, define, ideate, prototype and test, with this method you can solve existing problems. To connect boarding house owners and potential consumers, one way is to create a website-based application related to the availability of boarding rooms to make it easier for boarding house seekers to find boarding houses and boarding house owners to market boarding houses. To make the website usable well requires a website design that can be easily accessed or used either as a boarding house seeker or boarding house owner. Designing using the Design Thinking method makes it easier to create UI / UX for Adha Kost. Apart from that, designing the design using the Design Thinking method makes the design look more attractive and the items used are more complete in accordance with the user's needs.
New Employee Selection System using WP and SAW Methods Based on Web at PT Lanang Agro Bersatu Ria Sapitri; Syarifah Putri Agustini Alkadri; Putri Yuli Utami
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.808

Abstract

Employees are valuable assets for a company, requiring careful selection based on educational background and experience to ensure proper placement and avoid issues. At PT Lanang Agro Bersatu, the selection process involves approximately 30 candidates monthly. This study developed a web-based employee selection system using the Weighted Product (WP) and Simple Additive Weighting (SAW) methods. The system aims to calculate weight values for criteria such as Education, Work Experience, Age, Health, GPA, Academic Tests, and Psychological Tests, providing accurate rankings to simplify decision-making. The top candidate, Khusnul Wasillah, achieved the highest preference value of 0.1563, calculated through combined SAW and WP methods. System testing using black box and equivalence partitioning methods showed 100% accuracy.
Perbandingan Algoritma Random Forest dan Decision Tree untuk Memprediksi Cuaca di Kalimantan Barat Nur Ayu Fitri Maharani; Putri Yuli Utami; Rizki Surtiyan Surya
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 3 (2025): November: Jurnal Ilmiah Teknik Informatika dan Komunikasi 
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i3.1639

Abstract

This research aims to determine the results of weather predictions in West Kalimantan. This research was conducted to compare the Random Forest and Decision Tree algorithms in predicting weather in West Kalimantan. The data used comes from the BMKG West Kalimantan Climate Station from 2022-2024 including attributes, namely, date, average temperature (Tavg), average humidity (RH_avg), rainfall (RR), duration of sunlight (ss), and average wind speed (ff-avg). The initial stage of research using the CRISP-DM method is to collect climate data obtained from the official website of the Meteorology, Climatology and Geophysics Agency (BMKG), then process the data, normalize the data, and then apply the Random Forest and decision tree algorithms using the RapidMiner tool. . Based on the results of weather prediction research with a comparison of Random Forest algorithm test data with an accuracy of 94.64% and Random Forest algorithm training data with an accuracy of 94.05%. And to compare the decision tree algorithm test data with an accuracy of 93.45% and the decision tree algorithm training data with an accuracy of 92.26%.
Co-Authors Alkadri, Syarifah Putri Agustini Fathan Fakhrana Auafar Nur Ayu Fitri Maharani Ria Sapitri Rizki Surtiyan Surya