Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Proceeding International Conference on Information Technology and Business Jurnal Publika Pengabdian Masyarakat
Fitria -
Institut informatika dan Bisnis Darmajaya
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Pengembangan Dan Pelatihan Media Pembelajaran Bagi Guru SD IT Di Bandar Lampung Fitria -; M Fauzan Azima; Indera -
Jurnal Publika Pengabdian Masyarakat Vol 1, No 02 (2019): Jurnal Publika Pengabdian Masyarakat
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (138.129 KB) | DOI: 10.30873/jppm.v1i02.1976

Abstract

Pelatihan ini mulai dengan memperkenalkan Program microsoft Office Word komputer, membuat, mengedit dan memformat naskah, membuat tabel, menyisipkan objek dan Mail Merge (Surat Masal) serta menjelaskan fungsinya. Kemudian dilanjutkan dengan MS.Office exel yang terdiri dari Pengertian sheet,format shell, fungsi perhitungan, format karakter, menggunakan fungsi logika dan fungsi lookup. Penjelasan dilakukan secara bertahap dan langsung dipraktekkan. Sedangkan pada media pembelajaran guru praktek langsung  diarahkan untuk dapat mempresentasikan hasilnya.Dengan adanya kegiatan ini, diharapkan Guru SDIT pada kodya bandar lampung ini dapat memanfaatkan pengetahuan yang diberikan dan dapat menerapkannya pada setiap kegiatan aktivitas proses mengajar  disekolah masing-masing.Kata kunci:pelatihan,pengembangan,pembelajaran
K-NEAREST NEIGHBOR METHOD FOR MONITORING OF PRODUCTION AND PRESERVATION INFORMATION (TREATMENT) OF RUBBER TREE PLANT Fitria -; Hariyanto Wibowo; Feven Indriyani
Prosiding International conference on Information Technology and Business (ICITB) 2018: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 4
Publisher : Proceeding International Conference on Information Technology and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The District in Karang Agung Village, the report of production results by the foreman is still done by making regular reports in the foreman's order, supervision of production by the assistant head of the region is still done by looking at reports from the foreman who is  still in the form of regular records in the foreman's book and there are still many rubber plants that are not well developed due to lack of knowledge about how to preserve the rubber plants. The methods used have weaknesses, including foremen having difficulty reporting production data because of the distance of plantations and remote plantation offices. In addition, the assistant head of the region was able to find it difficult to monitor production results because the data provided was still in the form of records and is often late by the foreman. The algorithm analysis used the classification method, K-Nearest Neighbor algorithm. A classification method for a set of data based on previously classified data learning. The nearest Neighbor was an approach to finding a case by calculating the proximity between a new case and an old case. It was based on matching the weights of a number of features. Keywords: District, production, K-Nearest Neighbor, Classification
The Improvements, Strategies And Benefits Of E- Business Of Grab Company In Lampung, Indonesia Fitria -; Izzati Binti Mat Nor; Siti Nurliyana Binti Abdul Malik
Prosiding International conference on Information Technology and Business (ICITB) 2019: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 5
Publisher : Proceeding International Conference on Information Technology and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

E-business (electronic business) is the conduct of business processes on the internet. E-business processes include buying and selling products, supplies and services; servicing customers; processing payments; managing production control;collaborating with business partners; sharing information; running automated employee services. The purpose of this research is to study the improvement of e-business of Grab. The interest group for this research is the user of Grab application involving 101 respondents in Lampung. Lampung is a province of Indonesia. It is located on the southern tip of the island of Sumatra. This research is non-experimental study with analysis study. The objectives of this research are to study the improvement of e- business of Grab, to study the e-business strategies of Grab and to know the benefits of Grab for drivers and users. The result of this research is there’s a lot of improvement of e-business in grab application and services. This means that the benefits and strategies provided by Grab have significant influence to its improvement.Keywords: e- business, servicing customers, sharing information
Naïve Bayes Classifier Algorithm for Predicting Non-Participation of Elections in Lampung Province Fitria -; Rifad Sobah; Chairani Fauzi; Septilia Arfida; Suci Mutiara; Siti Nurlaila
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Several problems related to the DPT (Permanent Voter List) including the KPU (General Election Commission) it is difficult to get the NIK (Population Identification Number) of people who are in correctional institutions or prisoners, beginner voters who do not have an ID card (Kartu Tanda Sipil) who are currently in prison. study in student dormitories, Islamic boarding schools, and others who are outside the city, the number of which is 3-5% of invalid NIK, voters who do not have a resident identity, voters with KTP (Kartu Identity Card)/old Family Card and NIK (Population Identification Number) ) invalid around 7-19% and voters are difficult to find around 5-8% so that the KPU must-visit houses as regulated in the legislation. This could allow not all DPT (Permanent Voters List) to be registered.Naïve Bayes Classifier is one of the classification methods used in Data Mining which is based on the Bayes theorem. Bayes is a simple probability-based prediction technique based on the application of Bayes' theorem (or Bayes' rule) with strong (naive) independent (independence) assumptions. Naive Bayes is only a method for analyzing, it takes other media to display information that is easy to understand the results of the Naïve Bayes Classifier calculations. Pentaho data integration is a tool that integrates large amounts of data, calls from Excel, MySQL, and provides instructions for existing data. Tableau is an application that will improve, tableau can call data that has been integrated and display the data in the form of diagrams, text, spatial data, and points from locations.Keywords: Naïve Bayes Classifier, Algorithm, Election Commission
Co-Authors Chairani Fauzi Feven Indriyani Hariyanto Wibowo Indera - Izzati Binti Mat Nor M Fauzan Azima Rifad Sobah septilia arfida Siti Nurlaila Siti Nurliyana Binti Abdul Malik Suci Mutiara