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All Journal Kompak : Jurnal Ilmiah Komputerisasi Akuntansi SISFOTENIKA JPM (Jurnal Pemberdayaan Masyarakat) Jurnal Eksplora Informatika JURTEKSI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Informasi Interaktif SENSITEK Jurnal Teknologi Informasi dan Multimedia Journal of Innovation and Future Technology (IFTECH) Generation Journal ICIT (Innovative Creative and Information Technology) Journal Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Sistem Komputer dan Informatika (JSON) KLIK: Kajian Ilmiah Informatika dan Komputer Informasi interaktif : jurnal informatika dan teknologi informasi
Yunita, Selviana
Universitas Darwan Ali
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Journal : Informasi Interaktif

 1 
PENILAIAN TERHADAP TINGKAT KEMATANGAN DALAM PENINGKATAN EFISIENSI BIAYA IT DAN KONTRIBUSINYA PADA KEUNTUNGAN BISNIS (STUDI KASUS: HOTEL TICKLE YOGYAKARTA) Selviana Yunita
Informasi Interaktif Vol 5, No 2 (2020): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

Hotel is one of the main aspect to provide the tourism and business. The use of Information system is in all aspect of life, including in hospitality business, so Hotel use Information system to support their business process. Tickle Hotel is one of two star hotelthat implements information system to make the business proses easier. The use of Information System certainly need some funds to make sure the information system suitable for hotel’s business process. The funds is one of the form of investment from Hotel to gain optimal profit in the existence of information system. Based on this preposition, the author is interested in conducting research to find out whether the investment that has been issued by the hotel has provided optimal results to support its business activities.This research use COBIT 4.1 as the framework which focus on business goals that is financial perspective, how the IT investment give the good result to the company with PO1 domain for manage the IT Investment and DS6 domain for identify and allocate costs. The research was conducted using a questionnaire distributed to hotel employees, and then be obtained the value of the level of maturity of each domain. Based on the results of the research, the average value obtained for the PO1 domain was 2.64 and DS6 was 2.63.  Keywords: Hotel, Information System Audit, Finance Perspective, Balanced Scorecard, COBIT 4.1.
METODE KLASIFIKASI DATA MINING ALGORITMA C4.5 DAN PART UNTUK PREDIKSI WAKTU KELULUSAN MAHASISWA DI UNIVERSITAS DARWAN ALI Selviana Yunita; Nurahman Nurahman
Informasi Interaktif Vol 7, No 1 (2022): Jurnal Informasi Interaktif Vol. 7 No. 1 Januari 2022
Publisher : Universitas Janabadra

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Abstract

College is one of the most influental education aspect for a nation’s improvement. The quality of a college is important to support and explore student potential. The quality of a college helps student to prepare theirselves in working world. One of the qualities of a college can be seen from the punctuality of graduating time for students. It is become important for a college to find out the factors that influence the punctuality of graduating time for students. Darwan Ali University is one of university located in Sampit, Central Kalimantan. Based on their Information System Management, in 2011, there are 707 new students. In 2015 only 290 students passed. It shows that only 41% of students graduate on time. The source of this research data comes from Management Information System of Darwan Ali University. The purpose of this research is to find the rules which affects the accuracy of student graduation. The data used in this study include departement of study programs, the GPA from first to fourth semester, and gender of students. This study uses two algorithms, namely the C4.5 and PART algorithms. The researcher also found that the C4.5 algorithm has better accuracy than PART, with an accuracy level of 83.004 %. Keywords: Classification, data mining, C4.5, PART 
Co-Authors Aditya Pratama Putra Agung Jasuma Agung Purwanto Angga Yogi Pratama Dony Ariyus Eka W Sholeha Eka Wahyu Sholeha Elika Thea Kirana Elvis Pawan Febri Widianto Firnaldo Firnaldo Haspianto, Mauli Hermawan, Muhammad Redy Ismail, Andy Kaharuddin Kusrini Kusrini Lukman Bachtiar Luthfi Alfuadi Lutfy Mahawani , Shima Syiranda Mat Sudir Minarni Minarni Noorhikmah Fitriani Nur Hidayat Nurahman Patmawati Hasan Prasetyaningrum, Eka Rifqi Hammad Sapitri, Amelia Wulan Sari Saputri, Dewi Slamet Riyadi Syahrian Syahrudin Syahrudin Thamrin, Rosiyati M.H Ummy Sholihah Veny Cahya Hardita Veny Cahya Hardita Vivi Nur Alaeyda