Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal Jurnal Teknologi dan Manajemen Informatika Journal of Information Technology and Computer Science (JOINTECS)
Fitri Marisa
Jurusan Teknik Informatika, Universitas Widyagama Malang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
PERANCANGAN APLIKASI POINT OF SALES (POS) BERBASIS WEB MENGGUNAKAN METODE SIKLUS HIDUP PENGEMBANGAN SISTEM Fitri Marisa; Titania Grawidi Yuarita
Jurnal Teknologi dan Manajemen Informatika Vol 3, No 2 (2017): Juli 2017
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (561.697 KB) | DOI: 10.26905/jtmi.v3i2.1514

Abstract

The development of information technology is utilized in the field of industry. As the new company is expanding, utilizing point of sale information technology. So that the company does not experience a decline in its production and can continue to compete in the business world. Objectives to be achieved is the analysis and design of point of sale applications to minimize error information in the inventory, sales and profit and loss calculations company. This application is developed by using PHP programming language and MySql database. The result of this research is a structured application designed to process sales data.DOI: https://doi.org/10.26905/jtmi.v3i2.1514
IMPLEMENTASI DATA MINING DENGAN ALGORITMA APRIORI UNTUK MEMPREDIKSI TINGKAT KELULUSAN MAHASISWA Irham Kurnawan; Fitri Marisa; Purnomo Purnomo
Jurnal Teknologi dan Manajemen Informatika Vol 4, No 1 (2018): Mei 2018
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1174.307 KB) | DOI: 10.26905/jtmi.v4i1.1894

Abstract

Informatics Engineering Program University of Widyagama Malang has many volume of student databases. When properly excavated, so can known patterns or knowledge for a decision-making. Data that can be explored is the understanding of information about graduation students. This research to predict the passing rate of students with more efficient time, which can be known before the student graduated so that can be evaluated in their studies, especially in Informatics Engineering University of Widyagama. In this case using association methods and Apriori algorithm. This method calculates the support value that is the supporting value of an item with big golden rule 60% of the data of course grade. The results of this study to help universities improving the quality of education and help in knowing the information about the graduation rate of students based on the value of the subjects and achievement index obtained by students in Informatics Engineering course University of Widyagama MalangDOI: https://doi.org/10.26905/jtmi.v4i1.1894
MEMBANGUN PROXY SERVER SEBAGAI PENYARING KONTEN DAN MANAJEMEN AKSES JARINGAN INTERNET Fitri Marisa; Ahmad Irsyadur R
Jurnal Teknologi dan Manajemen Informatika Vol 3, No 2 (2017): Juli 2017
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (427.765 KB) | DOI: 10.26905/jtmi.v3i2.1515

Abstract

PT.Indomarine a privately omned company engaged in the Manufacture and Boiler  Construction, which in activity internet usage there are limitations according to applicable SOP, SOP rules in a regulation of companies to grant access to a particular term, for example, could access the internet only managerial level and above as applied recenty in the environment PT.Indomarine Corp. It is aimed at focus more of its employees to do work and avoid the theft of data from internet access. With such circumstances this system proxy server becomes the best solution for the use of filter. DOI: https://doi.org/10.26905/jtmi.v3i2.1515
Analisis Statistik pada Dampak Negatif dari Sosial Media Terhadap Perilaku Manusia Pradana Agung; Fitri Marisa
JOINTECS (Journal of Information Technology and Computer Science) Vol 4, No 1 (2019)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.76 KB) | DOI: 10.31328/jointecs.v4i1.997

Abstract

Artikel ini dibuat untuk menelusuri penyebab dampak negatif sosial media yang sudah terjadi di kalangan masyarakat. Tujuannya memeriksa perilaku pengguna sosial media antar sesama. Sosial media sekarang ini digunakan dalam berbagai hal seperti belanja online, berbagi berita, periklanan, dan berita politik. Perkembangan penggunaan sosial media tumbuh sangat. namun, dampak yang akan terjadi tidak dapat terkontrol bila tidak diatasi secepat mungkin. ada berberapa sosial media perilaku penggunaan yang harus di amati seperti selfie, belanja online, pertemuan offline, kontrol diri dan budaya bersama. melalui jurnal ini diharapkan pembaca dapat melihat fenomena ini dalam perspektif lengkap dari social media.
Analisa Prediksi Varietas Buah Salak yang Sesuai dengan Lahan Daerah Kabupaten Banjarnegara Menggunakan Algoritma C45 Fitri Marisa; Anastasia L Maukar
Jurnal Teknologi dan Manajemen Informatika Vol 8, No 1 (2022): Juni 2022
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v8i1.7521

Abstract

Salak is a potential horticultural sector that is a leading commodity in Banjarnegara. Salak fruit varieties have fruit categories that have their advantages. Variants of salak fruit include ivory salak, granulated sugar salak, pondoh salak, and honey salak. Based on data released from the relevant government agencies, further research was carried out related to analyzing and conducting research to predict salak fruit varieties. This variety is suitable for land in every area in Banjarnegara with predictive analysis using the C4.5 algorithm. This method has been widely developed to classify and predict a case with a fairly high degree of accuracy. From this study, researchers hope that it can contribute farmers to determining the type of salak fruit that is most suitable for the land they own so that later the harvest obtained by farmers can be maximized
Co-Authors Ahmad Irsyadur R Anastasia L Maukar Irham Kurnawan Pradana Agung Purnomo Purnomo Titania Grawidi Yuarita