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All Journal Jurnal technoscientia Jurnal Geosaintek Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Teknologi Sistem Informasi dan Aplikasi Aquacultura Indonesiana SPIRIT MONSU'ANI TANO Jurnal Pengabdian Masyarakat JURNAL TEKNOLOGI TECHNOSCIENTIA Teknika Jurnal Informatika Teknologi dan Sains (Jinteks) Knowbase : International Journal of Knowledge in Database Journal of Artificial Intelligence and Digital Business Jurnal Geosaintek
Pamudi Pamudi, Pamudi
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences

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Journal : Jurnal Teknologi Sistem Informasi dan Aplikasi

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Deteksi Notifikasi Suspend pada Aplikasi Ojek Online Menggunakan Metode MOORA Wijiono, Aditya Kusuma; Vitianingsih, Anik Vega; Kacung, Slamet; Maukar, Anastasia Lidya; Pamudi, Pamudi
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 3 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i3.42159

Abstract

Online motorcycle taxi drivers often face the risk of account suspension due to violations of rules that are not always clear or understood by them. This ignorance can cause drivers to be unaware of actions that can lead to suspension, which can impact their income and reputation. To overcome this problem, this study proposes the use of the Multi-Objective Optimization based on Ratio Analysis (MOORA) method in detecting and providing early notification regarding potential suspension. The MOORA method is used to analyze various parameters related to violations, such as the frequency and type of violations, as well as the number of accumulated violation points. By processing this data, the developed system can predict the possibility of suspension and provide notification to the driver. The results of the application of the MOORA method show that this system is effective in providing accurate notifications and can help drivers avoid actions that have the potential to cause suspension. The application of this system has the potential to reduce the number of suspension cases and increase driver awareness of actions that must be avoided.
Co-Authors Achmad Muzakki Alda Raharja Aminulloh Achri Biyanda, Margi Anastasia Lidya Maukar Anastasia Lidya Maukar Anik Vega Vitianingsih Anik Vega Vitianingsih Anik Vega Vitianingsih Arif Nur Hasan Asif Faroqi Didik Trisbiantoro Edi Prihartono Erma Suryani Fauzi, Chamdan Firmansyah, Verdi Tri Fitri Ana Wati, Seftin Gilang Rusrita Aida Han, H Hengki Suhartoyo Immink, Anton Kesuma Wardanie, Debleng Puja KRISTIAWAN KRISTIAWAN Lambang Probo Sumirat, Lambang Probo Litafira Syahadiyanti Mochammad Syaiful Riza Moh. Saiful Rohman Morales, Ernesto J Pramono, Sapto Prasetya, Dani Dwi Indra Prawiradiredja, Sanhari Putra, Rosuli Pratama Rhochmad Wahyu Illahi Roekminiati, Sri Rosidah Wahyu Ningtyas Sapto Pramono Sayyidatul Khoiridah Sayyidatul Khoiridah Setiyawan, Yayan Bayu Slamet Kacung Slamet Kacung, Slamet Sri Oetami Madyowati Sri Roekminiati Sunhari Prawiradiredja Syahadianti, Litafira Thanh, Linh Nguyen Vega Vitianingsih, Anik Wijiono, Aditya Kusuma Zulfikar, Akhmad Yanuardi