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Hetty Rohayani
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Journal : international journal of computer technology and science

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Design of the Moilme Application for Intelligent Job Recommendations Based on AI and GPS Laura Monica; Noneng Marthiawati; Kevin Kurniawansyah; Hetty Rohayani; Hafiz Nugraha
International Journal of Computer Technology and Science Vol. 3 No. 3 (2026): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v3i3.395

Abstract

The increasing tax burden each year poses a significant challenge, particularly for people with limited education and job seekers who struggle to find suitable employment, as most job openings prioritize bachelor's degree holders with work experience, while even graduates often face difficulties since companies typically require prior experience as a primary qualification; as a result, many graduates choose to start their own businesses, which in turn require employees to support their operations. This condition highlights the need for an intelligent solution that connects job seekers—including graduates and those without work experience—with vacancies matching their qualifications. To address this issue, this study designs the Moilme application, which integrates AI-based job matching through Google's Talent Solution API and GPS technology to generate intelligent job recommendations based on job seekers' qualifications while also displaying nearby job locations, with the Black Box method applied to simplify the development process and improve system performance in delivering relevant recommendations. The results show that the designed application successfully provides intelligent job recommendations matching users' qualifications and displays nearby job locations, thereby helping accelerate the job search process for job seekers as well as recruitment for companies and SMEs. The novelty of this research lies in combining AI-based qualification matching with GPS-based location intelligence within a single application, offering smarter and more personalized job suggestions. It is concluded that Moilme has the potential to expand job opportunities for those in need of work while helping companies and SMEs find suitable employees quickly and efficiently.
Co-Authors -, Irsyadunas Abd Halim Abelza Pernanda Ade Irma Agustina Lubis Ade Pratama Adi Supriyatna Afrizal J, S.Kom Afrizal. J Agi Nanjar Agustina, Safira Ahmad Heriansyah Akbar, Zulfikri Alysa Najwa Amalia, Dira Amandha, Shandy Amin Ananda Sri Mardiana Ananda Sri Mardiana Andrico, Ricky Anisa Rizki Septia Anisa Rizki Septia Anugrah, Septriyan Aprilia Nurfazila Ardian, Iqbal Arif Mursidan Arini, Zaza Mutiara Armandito Armiwita, Armiwita Arniwita, Arniwita Arpan Saputra Harahap Azzamy, Muhammad Nabil Barkat Harefa Bella Putri Cahyani Beni Irawan Bintang, Muhammad Rizki Olihta Bister Purba Boangmanalu, Mei Mariana Dani, Rian Derist Touriano Desyanti - Desyanti Desyanti Desyanti Dewi Lestari Dewi Lestari Dian Aprilia Dewi Dina Fitria Murad Dwi Nopriyani Ebenezer Bangun Ediansa, Oka Eka Gustina Bancin Endah Tri Kurniasih Endah Tri Kurniasih Erick Fernando Erick Fernando Erick Fernando Erick Fernando Erick Fernando Erick Fernando B311087192 Erlin Windia Ambarsari Ermaini Ermaini Fachruddin, Fachruddin Faiza Rini Fery Purnama, Fery Fitriyani, Mia Frieyadie Frieyadie Govinda Saputra Gustinar Gustinar Hafiz Nugraha Hafiz Nugraha Hario Tamtomo Helmina Helmina Helmina Helmina, Helmina Hendra Kurniawan Heri Santoso Hesti hesti, Hesti Yulianingsih Ibnu Sani Wijaya Ikke Yamalia ilham assidiq Imam Saputra Indah Desmasari Irmanelly, Irmanelly Irvan Siahaan Jasmir Jasmir Jasmir Jeperson Hutahaean Julian Chaniago Jumaryadi, Yuwan Kevin Kurniawansyah Kevin Kurniawansyah Khairul Imtihan Laura Monica Lubis, Ridha Maya Faza Lulu Ardiansyah M. Reinaldi Mesran, Mesran Mohamad Nizam Yusof Muhamad Irsan Muhammad Alfareza Muhammad Alfareza Muhammad Choirul Umam Muhammad Fauzi Muhammad Fauzi Muhammad Ikhsan Muhammad Syahrizal Nanjar, Agi Nazrul Azizi Noneng Marthiawati Novia, Tri Meli NOVITASARI Novitasari Novitasari Nurdiansyah Saputra Nursaka Putra Nurwijayanti Oka Ediansa Oktarino, Ade Pandapotan Siagian Pandapotan Siagian Pandapotan Siagian Partogi Simanjuntak Purba, Bister Purnama, Benni Putra Nugraha Syah R, Muhammad Rachmad Rahmi Handayani Rahmi Handayani Rahmi Handayani Ramli, M Saidina Rendi Efdiansyah Rico Rico Rico Rico Rico Rico Rico Rico Rico, Rico Ridha Maya Faza Lubis Rifky Lana Rahardian Rifky Lana Rahardian Riska Aryanti Riski Ferita Wahyu Rizky Pratama Rohmat Indra Borman Ryan Randy Suryono Safira Agustina Safira Agustina Sahrawi Sahrawi Sallaby, Achmad Fikri Salsabila Tadya Hasibuan Salsabila Tadya Hasibuan Santoso SANTOSO SANTOSO Saputri, Yolanda Setiawansyah Setiawansyah Sherina Intania Siagian, Jaya Sari Anggraini Siagian, Pandapotan Siswoyo Siswoyo Sitti Nur Alam Steven, Ferry Sumanto Sumanto Surjandy Surjandy Sussolaikah, Kelik Syam, Syahrull Hi Fi Tengku Akhsay Tertia, Farhan Adhimukti Valian Yoga Pudya Ardhana Wahyu Hidayat Wella Sandria Wella Sandria Yaakub, Saleh Yuniar, Fira Yuvanda, Sesraria Zai, Iwanman Zulfikri Akbar Zulpandi, Zulpandi