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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Prosiding SNATIF Jurnal Teknologi Informasi dan Ilmu Komputer Infotech Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL ILMIAH MATEMATIKA DAN TERAPAN IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jiko (Jurnal Informatika dan komputer) SEINASI-KESI METIK JURNAL Building of Informatics, Technology and Science Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Technologia: Jurnal Ilmiah Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics JIKA (Jurnal Informatika) Informatics and Digital Expert (INDEX) International Journal of Global Operations Research Jurnal Ilmiah Wahana Pendidikan Journal La Multiapp Jurnal Locus Penelitian dan Pengabdian Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Jurnal Algoritma Prosiding Seminar Riset Mahasiswa Enrichment: Journal of Multidisciplinary Research and Development Jurnal Informatika Polinema (JIP) Majority Science Journal Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK)
Wina Witanti
Jurusan Teknik Informatika, Universitas Jenderal Ahmad Yani
Religion Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Journal : Infotech Journal

 1 
PERAMALAN GENRE FILM TERPOPULER BERDASARKAN DATASET MYMOVIE MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) Asrul; Witanti, Wina; Umbara, Fajri Rakhmat
INFOTECH journal Vol. 9 No. 2 (2023)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v9i2.7358

Abstract

At this time the film industry is experiencing very rapid progress, this is because extraordinary technological developments have had a major influence on the film industry. Successful films tend to have a large audience. To find out why the audience likes a film, there are several variables that must be considered, one of which is the genre of the film. This research was conducted to predict what film genres the audience is most interested in. To predict the genre of this film using the autoregressive integrated moving average (arima) method. The autoregressive integrated moving average (arima) method or commonly known as the Box-Jenkins method is a method used to make precise and accurate short-term forecasts, compared to long-term forecasts which usually tend to be flat (flat/constant). From this research a prediction of the popularity or number of viewers of each film genre will be generated which can be used as a reference to find out what genre of film the audience is interested in. So that film production companies can adjust film releases according to their interests. audience, in order to gain greater profits.
KLASIFIKASI TINGKAT PENJUALAN VIDEO GAME DENGAN MENGGUNAKAN METODE K – NEAREST NEIGHBORS Adzani, Nadhif Nurul Fajri; Witanti, Wina; Umbara, Fajri Rakhmat
INFOTECH journal Vol. 9 No. 2 (2023)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v9i2.7371

Abstract

Klasifikasi Tingkat Penjualan Video Game Dengan Menggunakan Metode K – Nearest Neighbors memiliki fungsi untuk mengklasifikasikan video game berdasarkan penjualannya, dan memerlukan variabel, seperti genre, platform, publisher, best seller. Permasalahan yang terjadi di Platform penjualan game seperti di Steam, Epic games, etc. Adalah dimana saat gamers membeli game tersebut dan ternyata game tersebut tidak sesuai dengan ekspetasi dari gamers yang membeli game tersebut alhasil game tidak lagi dimainkan. Oleh karena itu, solusi yang dibuat disini yaitu klasifikasi video game berdasarkan karakteristik yang menggunakan metode KNN, dimana nantinya video game akan dibagi berdasarkan karakteristiknya, dan akan ditampilkan beberapa game sesuai klasifikasi karakternya, sehingga diharapkan dapat meminimalisir kejadian pembeli game / gamers yang menyesal karena tidak sesuai dengan ekspetasi mereka
Co-Authors Abiyoga, Arji Adhinata Kusuma, Rendy Adzani, Nadhif Nurul Fajri Afifah, Hira Nur Alfarizi, Muhammad Bayu Ardi Andhika, Firza Rafiandi Aranda, Sepri Arianto, Ilham Gumeraruloh Asendra, Irfan Ashaury, Herdi Asrul Atamimi, Fadel Muhamad Hafid Budiman, Firman Nur Budiman, Zillan Taufiq Dewi, Wulan Dian Nursantika Edvin Ramadhan Eka Purnama Rijaludin, Muhamad Fahrezi Ahmad, Rafly Fikri Fahrezi, Rizal Febrian Faiza Renaldi, Faiza Fauzan, Ariq Firdaus, Syahrul Ghozali, Mohamad Aditya Muttaqin Gunawan Abdillah, Gunawan Hadiana, Asep Id Hardianto, Mohamad Aris Hasbia, Muhamad Iqbal Maulana Kania Ningsih, Ade Kasyidi, Fatan Kiki Hidayat, Kiki Komarudin, Agus Komarudin, Agus Liesdiannisa, Mutiara Virgi Lusy Sundary, Lusy Mandala, Muhamad Bintang Maulina, Ninda Melina Melina, M Nabilah, Mitamufida Kusuma Nabilah, Mitamufida Kusuma Nailendra, Septian Yudha Nugraha, Faisal Okta Nugraha, Faisal Okta Nurhakim, Riri Qorib Nurhasanah, Wulandari Nurputra, Windi Raihan Nurul Sabrina, Puspita Pinasty, Syarifudin Yoga Pradana, Muhammad Rifqi Prasetyo, Nur Faid Pratiwi, Siska Hutami Putra, Eddie Krishna Putri, Ika Rahmah Rakhmat Umbara, Fajri Rezki Yuniarti Ridwan Ilyas Rusmana, Hendri Diana Saputri, Intan Vidia Syarafina, Fildzah Tacbir Hendro Pudjiantoro Trianggara, Dhani Umbara, Fajri Rakhmat Wahidin, Farhan Raihan Wahyudiputra, Helmy Fauzan