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Lifia Yola Febrianti
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Electrical & Electronics Engineering

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Analisis Pemanfaatan Artificial Intelligence Dalam Membantu Proses Perekrutan Karyawan Perusahaan Christian Iwan; Christvaldo Kurnia Putra; Dianeluoxy Zabdi; Elson Ivan Boy; Monica Agustina Chandra; Lifia Yola Febrianti
Jurnal Sains dan Teknologi Vol. 2 No. 2 (2023): Desember : Jurnal Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/saintek.v2i2.248

Abstract

This article delves deep into the role of Artificial Intelligence (AI) in assisting human resources professionals in the recruitment and selection process. AI is a result of the emergence of machine learning, which can mimic human thought patterns and working mechanisms. AI, or artificial intelligence, has been applied in various fields, including quality control in manufacturing, the entertainment industry, autonomous vehicles, and is increasingly making inroads into the realm of recruitment. With the support of algorithms, AI plays a vital role in helping HR professionals filter applicant portfolios, fundamentally transforming the traditional recruitment process. Through a comprehensive analysis drawing from various literature sources, this article seeks to uncover the wide-ranging changes and profound impacts brought by AI into the world of recruitment. The conclusion drawn from this exploration is that AI has the potential to expedite the acquisition of high-quality applicants more efficiently and cost-effectively while also reducing subjectivity in human assessments. However, this transformation is not without concerns about ethics and data security, which require careful consideration.
Pengembangan Fitur FIT Sebagai Teknologi Pengukur Pakaian Di E-Commerce Angel Rich Faustine Winata; Elvinson Wijaya; Iven Marchellia; Kevin Tan; Yehezkiel Michael Sutara; Lifia Yola Febrianti
Jurnal Sains dan Teknologi Vol. 2 No. 2 (2023): Desember : Jurnal Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/saintek.v2i2.249

Abstract

This research aims to develop the design of the FIT feature. FIT is a feature integrated into e-commerce that is designed to provide accurate clothing sizes according to user needs. This feature is designed with the aim of reducing problems that occur when shopping for clothes online, such as sizing errors. This research method uses the Research and Development (R&D) method with the Thiagarajan model. Even so, this research only reached the design stage. The results of this research present the design of the FIT feature which is based on artificial intelligence and augmented reality technology to simulate real clothes purchased by users
Pengembangan Aplikasi Holiyay untuk Perencanaan Liburan Sesuai Anggaran Natanael Yohanes Gunawan; Hansen Gunawan; Ivan Cornelius Saputra; Putu Crysta Lovita Atmaja; Cynthia Antoni; Lifia Yola Febrianti
Jurnal Sains dan Teknologi Vol. 2 No. 2 (2023): Desember : Jurnal Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/saintek.v2i2.255

Abstract

Many people aspire to go on vacations, but their wishes often go unfulfilled due to the difficulty of managing the required budget for the trip. Additionally, they encounter challenges in selecting a holiday destination because well-known tourist spots tend to be crowded with visitors, leading to a less comfortable experience. These issues have sparked the interest of a research team in developing an application to address these concerns. The application is designed based on feedback obtained from a survey conducted by the research team. After processing and analyzing the survey results, the team has conceptualized an application called "Holiyay" to assist users in planning vacations within their predetermined budgets. The suggested travel destinations provided by the application are guaranteed to meet quality standards, ensuring a pleasant experience for users. To enhance the comfort of users during their vacations, the application will also offer the services of a guide called "Holiguide" to accompany them. In order to ensure security for both users and the application, a QR code will be provided to users when they book their vacation packages. This QR code will be scanned by the Holiguide to verify the identity of both parties, confirming that they are the designated user and guide provided by the application.
Analisis Efektivitas Sensor Termal sebagai Alat Deteksi Keramaian pada Suatu Gedung Christopher Setiawan Miharjo; Devi Paramita; Grace Natal Liu; Kadek Artika Chintya Meliana; Wesley Aldrich; Lifia Yola Febrianti
Jurnal Sains dan Teknologi Vol. 2 No. 2 (2023): Desember : Jurnal Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/saintek.v2i2.256

Abstract

Crowd has been a normal thing particularly in big cities. This could lead to negative causes such as slower mobilization or social anxiety towards individuals. Ever since the pandemic of Covid-19 lands all over the world, the application of thermal censoring devices has been commonly encountered in public places. The most common use of thermal censors is to detect human body temperature. Therefore, this research is done to analyze the effectivity of thermal cameras on detecting crowd inside a building. By using surveys and literature reviews as our methods, the result of this research shows that from 30 survey respondents, with the average age of 17-25 years old that tends to do indoor activities, 55.6% of them find that crowd is affecting their efficiency during activities. Besides that, 66.7% respondents struggle to measure the crowd level inside a building, also 87.3% of them feels like there should be a solution to this problem. Thus, this research proves that the use of thermal censors on camera for crowd detection is very effective with the accuracy rate of 99%. In conclusion, thermal censor devices are effective to be used as crowd detection devices.
Co-Authors Angel Rich Faustine Winata Christian Iwan Christopher Setiawan Miharjo Christvaldo Kurnia Putra Cynthia Antoni Devi Paramita Dianeluoxy Zabdi Elson Ivan Boy Elvinson Wijaya Grace Natal Liu Hansen Gunawan Ivan Cornelius Saputra Iven Marchellia Kadek Artika Chintya Meliana Kevin Tan Monica Agustina Chandra Natanael Yohanes Gunawan Putu Crysta Lovita Atmaja Wesley Aldrich Yehezkiel Michael Sutara