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All Journal Techno.Com: Jurnal Teknologi Informasi PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Simantec Jurnal Teknologi Informasi dan Ilmu Komputer Sistemasi: Jurnal Sistem Informasi Edukasi: Jurnal Pendidikan MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOISIE (Journal Of Information Systems And Informatics Engineering) JTIK (Jurnal Teknik Informatika Kaputama) Seandanan: Jurnal Pengabdian pada Masyarakat Archive: Jurnal Pengabdian Kepada Masyarakat Journal of Applied Business and Technology SATIN - Sains dan Teknologi Informasi The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika
Alyauma Hajjah
Institut Bisnis Dan Teknologi Pelita Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences

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Journal : Jurnal Simantec

 1 
PENERAPAN METODE NAÏVE BAYES CLASSIFIER UNTUK KLASIFIKASI JUDUL BERITA Hartono, Hendri; Hajjah, Alyauma; Marlim, Yulvia Nora
Jurnal Simantec Vol 12, No 1 (2023): Jurnal Simantec Desember 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v12i1.19398

Abstract

Berita merupakan media informasi utama di dunia. Beragamnya berita yang disajikan oleh media digital saat ini, mencakup berbagai aspek seperti olahraga, hiburan, politik, kesehatan, keuangan, teknologi, dan lain-lain. Dengan beragamnya berita, maka diperlukan pengelompokan berita tersebut, demi memudahkan masyarakat dalam mendapatkan informasi yang diinginkan. Naïve Bayes merupakan metode klasifikasi yang sering digunakan dalam kasus pengelompokan. Naïve Bayes adalah metode klasifikasi dengan melakukan preprocessing pada judul berita,kemudian menghitung probabilitas setiap kelasnya. Kelas yang dipakai dalam metode ini adalah kategori berita. Kategori berita meliputi, Olahraga, Hiburan, Kesehatan, Politik, dan Teknologi.Dari 500 data latih yang dijadikan acuan untuk menghitung probabilitas, setelah data uji dimasukkan maka akan dihitung probabilitas setiap kata yang digunakan dan akan menghasilkan suatu kategori, dari 50 data yang diuji sebanyak 43 dokumen yang berhasil sesuai dengan kategori yang tepat yaitu sebesar 86% dan sebanyak 7 dokumen dengan kesalahan kategori sebesar 14%.Kata kunci : Berita, Klasifikasi, Naïve Bayes, Probabilitas
SISTEM PENDUKUNG KEPUTUSAN PEREKRUTAN KARYAWAN BERBASIS WEB MENGGUNAKAN METODE MOORA Sanjaya, Irfan; Hajjah, Alyauma
Jurnal Simantec Vol 13, No 1 (2024): Jurnal Simantec Desember 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i1.25376

Abstract

PT. Sinar Indrapura Anugerah Khatulistiwa is a company that operates in the gas sales sector and hires 30 employees every year. Based on the results of the interview, this company agreed to use a decision support system to support the employee recruitment process to avoid subjective factors that are detrimental to job seekers and the company. The decision support system will be built using the MOORA method because this method has a simple and easy to understand concept and provides precise and accurate results to support decision making, is easy to implement and has a high level of sensitivity to the attributes used compared to other methods. The criteria that are considered appropriate are the criteria to support the employee recruitment decision support system at PT. Sinar Indrapura Anugerah Khatulistiwa is education level, age, work experience, health, written test scores and interview scores. This research is expected to be able to design and implement a web-based employee recruitment decision support system using the MOORA method. As a result, the system was successfully designed and implemented on a web basis using the MOORA method with the results of manual calculations matching the calculation results of the system with an accuracy level of 100% so that the system was declared suitable for use as a decision support system for employee recruitment and all of its functionality was running 100%.Keywords: Decision Support System, Employee Recruitment, MOORA Method, Web
Co-Authors Adiya, M. Hasmil Agustin ahmad kamal, ahmad Andra Andra Cesar, Mario Chandra Wijaya Chandra Wijaya Chandra Wijaya Chandra Wijaya Dadang Priyanto Darmanta Sukrianto Deny Jollyta Desnelita, Yenny Dewi Nasien Dwi Oktarina Dwi Oktarina Erlin Gusrianty Gusrianty Gusrio Tendra Gustientiedina Hadi Dwi Putra Hendri Hartono, Hendri Hidayatullah Nuriadi, Siti Hutri Rizkiyah Alda Irwan Irwan Jeffry Kody Johan Johan Johan Johan Johnny Anwar Angkasa Josef Sianturi Junita Cahyati Sinaga Kody, Jeffry Leonardo Yang Loneli Costaner Manurung, Marisah Elfrida Marcellino, Marcellino Marlim, Yulvia Nora Mukhsin Mukhsin Noratama Putri, Ramalia Pratama, Teddy Prihandoko . Prihandoko Prihandoko Rahmadian Yuliendi, Rangga Ramalia Noratama Putri Renta Wasni Putri Sanjaya, Irfan Sihombing, Sagita Charolina siska monica Son, Viktorianus son Susi Susi susi susi Teddy Pratama Wahyu Joni Kurniawan Wilda Susanti Yermias Duha