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Fanny Fanny

Bina Nusantara University

Author-ID : 3159584

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Articles

A Simple Method for Cost Estimating and Controlling Fanny Fanny
IJNMT (International Journal of New Media Technology) Vol 5 No 2 (2018): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Based on software project survey from Standish Group’s “CHAOS Report”, 29% of software projects in large enterprises can be delivered on time and not over budget, 53% of software project were over budget or had some problem with the schedule, and 18% of software project were failed. This means that cost management is very important to prevent the possibility of project’s failure. Therefore, in this paper, we provide and recommend some methods and technique in order to do cost estimation and cost controlling as the crucial part of project cost management. We recommend Activity-Base Costing method for cost estimation and Earned Value Analysis for cost controlling. As the result of this paper, these two methods can be applied properly to real project and ease the project manager to estimate and control the cost of the project.

Aplikasi Pemesanan Makanan di Restoran menggunakan Program Langganan berbasis Android Fanny Fanny
IJNMT (International Journal of New Media Technology) Vol 7 No 1 (2020): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

The purpose of this research is to make an application that give an information to the waiter or waitress about the table that want to ask for help and to chef or drink maker about the order sequentially, to easily make the restaurant management to renew the menu list without pay for more surcharge, ease the customer to save their point and for increase customer’s loyalty, help the customer to count their individual payment including the tax, and to ease the restaurant to analyze the revenue, product, and customer satisfaction. The method of this research is collecting data (interview), analysis method, system design method (use case diagram, activity diagram, class diagram, sequence diagram, application interface, and incremental SDLC), and also literature review. The result is mobile application based on android for food ordering and web application for restaurant management. The conclusion of this application is this application ”TMS Cafe” help restaurant to increase the customer loyalty using membership system, ease customer to store their point, simplify the restaurant to manage the menu and promo list with digital system, facilitate the restaurant to give information to customer about the active promo, ease customer to order food, increase the customer satisfaction with song request feature, facilitate customer to count their individual payment including taxes and also to see the transaction and point usage history.

A Comparison of Text Classification Methods k-NN, Naïve Bayes, and Support Vector Machine for News Classification Fanny Fanny; Yohan Muliono; Fidelson Tanzil
Jurnal Informatika: Jurnal Pengembangan IT Vol 3, No 2 (2018): JPIT, Mei 2018
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v3i2.828

In this era, a rapid thriving Internet occasionally complicates users to retrieve news category furthermore if there are plentiful of news to be categorized. News categorization is a technique can be used to retrieve a category of news which gives easiness for users. Internet has vast amounts of information especially at news. Therefore, accurate and speedy access is becoming ever more difficult. This paper compares a news categorization using k-Nearest Neighbor, Naive Bayes and Support Vector Machine. Using vary of variables and through a several steps of preprocessing which proving k-Nearest Neighbor is producing a capable accuracy competes with Support Vector Machine whereas Naive Bayes producing just an average result, not as good as k-Nearest Neighbor and Support Vector Machine yet as bad as k-Nearest Neighbor and Support Vector Machine ever reach. As the results, k-Nearest Neighbor using correlation measurement type produces the best result of this experiment.

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