Sistem Pendukung Keputusan Penentuan Penyiaran Berita Dengan Metode Naive Bayes Berbasis Web Pada PT. Kaltim Televisi

Syahriyandi, Syahriyandi (2024) Sistem Pendukung Keputusan Penentuan Penyiaran Berita Dengan Metode Naive Bayes Berbasis Web Pada PT. Kaltim Televisi. S1 Sistem Informasi thesis, STMIK Widya Cipta Dharma.

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Abstract

Syahriyandi, 2024, Sistem Pendukung Keputusan Penentuan Penyiaran Berita dengan Metode Naïve Bayes Berbasis Web Pada PT. Kaltim Televisi. Skripsi Program Studi Sistem Informasi, Sekolah Tinggi Manajemen Informatika dan Komputer Widya Cipta Dharma, Pembimbing (I) H. Tommy Bustomi, S.Kom., M.Kom, Pembimbing (II) Eka Arriyanti, S.Pd., M.Kom. Kata Kunci : Naïve Bayes, Sistem Pendukung Keputusan, Kelayakan. Perkembangan teknologi informasi dan komunikasi di masyarakat telah meningkat sehingga dalam lingkungan media yang terus berkembang dengan cepat penggunaan teknologi informasi dan sistem pendukung keputusan (SPK) dapat membantu dalam mengambil keputusan yang lebih efisien dan akurat. Salah satunya yakni dalam penyiaran berita menggunakan metode Naive Bayes. Menjadi inovasi masyarakat agar masyarakat dapat mendengar berita yang probalitas. Indikator keberhasilan pelayanan publik yakni dengan melihat kepuasan masyarakat. Oleh sebab itu, peneliti akan menguji pengaruh berbagai faktor terhadap bagaimana membangun sistem pendukung keputusan penentuan penyiaran berita menggunakan naive baiyes berbasis web pada PT. Kaltim Television. Penelitian ini menggunakan Metode Naive Baiyes dengan menggunakan variable yakni kualitas sistem, kualitas informasi, jenis berita, waktu berita,Penelitian ini menggunakan metode beta testing dan black box. Sampel yang digunakan dalam penelitian ini berjumlah 10 pertanyaan. Hasil penelitian menunjukkan bahwa kualitas sistem, kualitas informasi,jenis berita,dan waktu berita berpengaruh terhadap pengguna. ====================================================================== Syahriyandi, 2024, Decision Support System for News Broadcasting Determination using Naïve Bayes Method on PT. Kaltim Television's Web-Based. Thesis of Information Systems Study Program, Widya Cipta Dharma School of Information Management and Computer, Advisor (I) H. Tommy Bustomi, S.Kom., M.Kom, Advisor (II) Eka Arriyanti, S.Pd., M.Kom. Keyword : Naïve Bayes, Decision Support System, Feasibility The advancement of information and communication technology in society has increased, enabling the use of information technology and decision support systems (DSS) to assist in making more efficient and accurate decisions in the rapidly evolving media environment. One application of this is in news broadcasting using the Naive Bayes method. This serves as an innovation for the community to receive news with higher probability. The success indicator of public services is determined by evaluating public satisfaction. Therefore, the researcher will examine the influence of various factors on building a decision support system for news broadcasting using Naive Bayes on the web-based platform of PT. Kaltim Television. The research employs the Naive Bayes method with variables such as system quality, information quality, news type, and news timing. Beta testing and black box methods are utilized in this study. The sample size consists of 10 questions. The results indicate that system quality, information quality, news type, and news timing significantly influence user satisfaction.

Item Type: Thesis (S1 Sistem Informasi)
Additional Information: H. Tommy Bustomi, S.Kom., M.Kom. Eka Arriyanti S.Pd., M.Kom.
Uncontrolled Keywords: Naïve Bayes, Sistem Pendukung Keputusan, Kelayakan
Subjects: A General Works > AI Indexes (General)
Q Science > QA Mathematics > QA76 Computer software
Divisions: Sistem Informasi
Depositing User: Syahri Yandi andi
Date Deposited: 21 Feb 2024 08:15
Last Modified: 21 Feb 2024 08:15
URI: http://repository.wicida.ac.id/id/eprint/5328

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