Emerensye Sofia Yublina Pandie
Ilmu Komputer

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Journal : J-Icon : Jurnal Komputer dan Informatika

IMPLEMENTASI PENETAPAN PAJAK KENDARAAN BERMOTOR UBAH BENTUK PADA SAMSAT KABUPATEN TIMOR TENGAH SELATAN Emerensye Sofia Yublina Pandie; Febryan Cornelis Lomi; Sebastianus Adi Santoso Mola
J-Icon : Jurnal Komputer dan Informatika Vol 7 No 1 (2019): Maret 2019
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v7i1.886

Abstract

The problem in doing the majoring in SAMSAT of sub-province of Timor Tengah Selatan can be solved by using information system. In a month SAMSAT of sub-province of Timor Tengah have served 3.131 taxpayer, that means for a day SAMSAT of sub-province of Timor Tengah served approximately reach 150 taxpayer and total vehicles in registration is 39.492 vehicles. The system that is developed to maintain vehicles data, types of vehicle data, vehicles brands data, dumps data, vehicles price data, registration data, and to count vehicles tax determining rightly dan quickly and can gain the report of all registration data, specific report of the vehicles, specific report of vehicles tax determining and receipt tax payments of vehicles transform. This system capable to answered the hypothesis H0 about contentment of service with satisfaction level more than 70% viz 78%.
Prediksi Masa Studi Mahasiswa Menggunakan Metode Topsis Pada Program Studi Ilmu Komputer Universitas Nusa Cendana Emerensye Sofia Yublina Pandie; Rheza A Costa; Nelci Dessy Rumlaklak
J-Icon : Jurnal Komputer dan Informatika Vol 8 No 1 (2020): Maret 2020
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v8i1.2397

Abstract

Graduation rates are considered as one of the parameters of the effectiveness of educational institutions. The period of student studies is an important issue that needs to be handled wisely by the Undana Computer Science department. Because graduation rates on time and not on time will affect the accreditation of majors, so we need a solution to be able to improve the problem of graduation on time. The solution that can help supervise and pay attention to active students in the 5th semester in order to graduate on time is to use a Decision Support System. Decision Support System can help predict the period of study of students with the TOPSIS method. The criteria used are Gender, Number of SKS that have been taken, Semester GPA, Cumulative Achievement Index and subsequent SKS Load. Sensitivity testing is done by adding a weight value of 0.5 and 1 to each criterion to get the results of criteria that are sensitive to changes in weights namely the GPA criterion of 3.92% change and subsequent SKS Load criteria of 3.92% change. The results of testing the sensitivity of criteria weights have an average percentage change in yield of 0.78%.