Proborestu, Syah Dimas (2020) IMPLEMENTASI ALGORITMA C4.5 UNTUK PREDIKSI LOYALITAS PELANGGAN KORAN CETAK HARIAN. Undergraduate thesis, Universitas Stikubank.
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Abstract
Koran merupakan sumber mencari berita maupun informasi terkini yang terjadi pada masyarakat sekitar maupun dunia. Segala berita mulai dari perekonomian, selebriti hingga tentang kondisi alam tersaji lugas ada di koran. Di zaman modern seperti ini koran terbagi menjadi dua macam, yaitu koran cetak dan koran media daring. Seiring penggunaan koran daring yang lebih portable, koran cetak mulai berkurang peminatnya. Terlebih golongan milenial yang menyukai hal yang lebih efisien. Tidak jarang orang dewasa pun banyak yang meninggalkan penggunaan koran cetak harian. Untuk itu perlu dibuat penelitian tentang bagaimana cara agar keberadaan koran cetak harian tetap berlangsung. Sehingga banyak penerbit harian koran cetak yang belum beralih ke media onine dapat bertahan. Disamping itu tingkat keakuratan berita koran cetak lebih sulit direkayasa dan cenderung lebih akurat. Penelitian ini menggunakan algoritma C4.5 dengan membuat pohon keputusan yang menentukan pelanggan dengan kriteria tertentu yang akan terus berlangganan koran cetak harian. Menggunakan software Rstudio dalam membuat prediksinya agar lebih presisi. Menghasilkan kriteria rentang usia yang diikuti kriteria lamanya pelanggan bertempat tinggal menjadi acuan prediksinya. Newspapers are a source of finding the latest news and information that occurs in the surrounding community and the world. All news ranging from the economy, celebrities to the natural conditions presented straightforwardly in the newspaper. In modern times such as newspapers are divided into two types, namely print and online media newspapers. As the use of more portable online newspapers, print newspapers began to decline in demand. Especially millennial groups who like things more efficiently. Not infrequently many adults who leave the use of daily print newspapers. For this reason, research needs to be made on how to keep the daily print newspaper in progress. So that many print newspaper daily publishers who have not yet turned to online media can survive. Besides that, the accuracy of printed newspapers is more difficult to be engineered and tends to be more accurate. This study uses the C4.5 algorithm by making a decision tree that determines customers with certain criteria who will continue to subscribe to the daily print newspaper. Using Rstudio software to make predictions more precise. Generating the age range criteria followed by the criteria for the length of time the customer resides becomes his prediction reference.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | SKR.I.05.02.1863 NIM : 15.01.55.0051 |
| Uncontrolled Keywords: | C4.5, Rstudio, Loyalitas pelanggan Newspaper, C4.5 Algorithm, Rstudio, Customer lolality. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty / Institution: | Fakultas Teknologi Informasi > Program Studi Sistem Informasi |
| Depositing User: | Yuliana Eliza |
| Date Deposited: | 06 May 2020 04:20 |
| Last Modified: | 06 May 2020 04:20 |
| URI: | http://eprints.unisbank.ac.id/id/eprint/6667 |
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