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All Journal Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Jurnal Teknik Komputer AMIK BSI Jurnal Riset Informatika JUSIM (Jurnal Sistem Informasi Musirawas) Antivirus : Jurnal Ilmiah Teknik Informatika JURNAL TEKNOLOGI INFORMASI EVOLUSI : Jurnal Sains dan Manajemen INTI Nusa Mandiri Computer Science (CO-SCIENCE) Conten : Computer and Network Technology Jurnal Ilmiah Informatika dan Ilmu Komputer Explore Akademika
Nuzuliarini Nuris
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Other

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Journal : Akademika

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KLASIFIKASI DATA MINING UNTUK MENGESTIMASI POTENSI CURAH HUJAN MENGGUNAKAN ALGORITMA NAIVE BAYES Nuris, Nuzuliarini; Salsabila, Nina Nur; Rifandi, Julian; Diantika, Sri
JURNAL AKADEMIKA Vol 17 No 1 (2024): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i1.1320

Abstract

One of the things that is very important in Indonesia is climate. Climate itself greatly influences human survival. The relationship between rainfall and climate is very close and complex, where climate change can affect rainfall patterns in an area. High or low rainfall can have negative impacts on the environment and agriculture. Therefore, a deep understanding of rainfall patterns is very important in development planning and natural resource management. With the classification of potential rainfall, it is hoped that it can provide accurate predictions and assist in planning and managing related risks. The classification used in this research is Naive Bayes with monthly rainfall data in East Jakarta City from 2019 - 2022. Based on the calculation results, an accuracy rate of 80% was obtained, either using manual calculations or using the RapidMiner application.
SISTEM INFORMASI SELEKSI PENERIMAAN PEGAWAI DENGAN METODE WATERFALL: Employee Recruitment Selection, Information System, Waterfall Nuris, Nuzuliarini; Ariani, Fattya
JURNAL AKADEMIKA Vol 11 No 2 (2019): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v11i2.316

Abstract

Human resources are one of the important factors in an effort to support the development of the business world. Selection of employees who still do the process manually, such as recording, still uses Microsoft Word and Microsoft Excel programs. Processing data that is quite difficult results in a delays in the process of selecting new employees, searching for data and influencing the performance of the company's internal employees. To overcome this, a better employee selection system model is needed, namely a computerized system with the waterfall method. With an employee recruitment system, selecting applications is faster and more accurate because applicants' data can be stored directly at that time can also find out whether the applicant meets the criteria or not, applicant data storage can also be minimized with a computer so that the search for the required data can be found immediately.
Co-Authors Achmad Imam Faozan Aprilia Kartini, Kasih Dafa, Muhammad Diantika, Sri Dwi Khadafi Eka Rini Yulia Esha Indra Sukmana Fadhila, Azumardi Nabil Fattya Ariani Fernando, Yusra Ispandi Ispandi Jaradot Mangihut Davied Kusmayanti Solecha Mohammad Azmi Khadafi Nurachim, Rusma Insan Nurmawati Nurmawati Priyono Priyono Puji Astuti Rifandi, Julian Risa Wati - AMIK BSI Tasikmalaya Risa Wati - AMIK BSI Tasikmalaya Salsabila, Nina Nur Setiawan, Muhammad Kevin Setiawan, Paulus Tri Setiawansyah Setiawansyah Silvia, Hana Siti Ernawati Sutiyono, Dirgantara Nowan Wahyudi, Agung Deni Wibawa, Yohanes Eka