Jurnal Ganjil 2018/2019

 PERANCANGAN SISTEM INFORMASI PENJUALAN OBAT PADA KLINIK IBU MAS DEPOK

Eka Rini Yulia

STMIK Nusa Mandiri Jakarta

Nuzuliarini Nuris

Universitas Bina Sarana Informatika

Abstract

Klinik Ibu Mas merupakan sebuah yayasan yang membantu masyarakat sekitarnya untuk bisa sembuh dari sakitnya. Selain itu klinik ibu mas ini juga menjual obat-obatan. Obat ini di jual secara langsung oleh klinik ibu mas kepada masyarakat khususnya yang berada di daerah cimanggis depok. Klinik ibu mas memiliki kendala dalam proses penjualan obat serta kurangnya sarana media transaksi penjualan di klinik ibu mas. Dengan melihat permasalahan yang terdapat di klinik ibu mas, maka pihak klinik ibu mas menginginkan sebuah media pejualan berbasis website yang diharapkan dapat membantu untuk kelancaran proses penjualan obat yangsedang dijalankan. Perlu dilakukan analisis sistem agar dapat menyelesaikan masalah-masalah yang dihadapi dalam sistem yang saat ini sedang berjalan. Metode yang digunakan pada pengembangan perangkat lunak ini menggunakan model waterfall. Alat yang digunakan untuk menggambarkan model sistem adalah berupa Activity Diagram, Use Case Diagram dan ERD, sedangkan bahasa pemprograman yang digunakan untukmembuat program aplikasi ini adalah PHP dan MySql dangan dibantu tool Adobe Dreamweaver CS5 dan Xampp.

Keterangan: Jurnal Sistem Informasi Musirawas (JUSIM)/3/2/LPPM Universitas Bina Insan

Link Jurnal : http://jurnal.univbinainsan.ac.id/index.php/jusim/article/view/339

Pengabdian Kepada Masyarakat Gasal 2018/2019

PELATIHAN Komputer Untuk Pengembangan SDM Dalam Meingkatkan Mutu Pelayanan Di Koperasi Kwartab Kota Depok

Hari                     : Sabtu

Tanggal               : 03,10 dan 17 November 2018

Waktu                 : 09.00 – 12.00 WIB

            Tempat                : Gedung Sekretariat Koperasi Kwartab,
                                            Jl. H. Usman RT 02/03 Kel. Depok Kec. Pancoran Mas Depok

Link PresRelease : https://lppm.nusamandiri.ac.id/pelatihan-komputer-untuk-pengembangan-sdm-dalam-meningkatkan-mutu-pelayanan-di-koperasi-kwartab-kota-depok/

Seminar COMPFEST X "Smart City: Build Smart Solution For Urban Problems"

Seminar COMPFEST X "Smart City: Build Smart Solution For Urban Problems"

Tanggal 29 September 2018
Penyelenggara : Universitas Indonesia

Seminar COMPFEST X "How Artificial Intelligence Change Our Life"

Seminar COMPFEST X "How Artificial Intelligence Change Our Life"
Tanggal 23 September 2018
Penyelenggara Universitas Indonesia

Seminar COMPFEST X "UX Optimization with Data Analytics"

Seminar COMPFEST X "UX Optimization with Data Analytics"
Tanggal 23 September 2018
Penyelenggara Universitas Indonesia

Seminar COMPFEST X "How to Cultivate Date-driven Culture in Your Business"

Seminar COMPFEST X "How to Cultivate Date-driven Culture in Your Business"
Tanggal 23 September 2018
Penyelenggara Universitas Indonesia

Prosiding seminar internasional 2018

Implementation of The Naïve Bayes Algorithm with Feature Selection using Genetic Algorithm for Sentiment Review Analysis of Fashion Online Companies

Siti Ernawati; Eka Rini Yulia; Frieyadie; Samudi

Abstract:

Opinion rivalry that occurs in social media have an important role in increasing the potential customers to the company or agency. The review is a rich and useful resource for marketing, social and others for excavations and mining opinions such as views, moods, and behavior. The reviews describe perceptions of something, such as review of a product, review of airline services, reviews of restaurant and others. The analysis of sentiment is an ongoing field of text-based research. The analysis of sentiment or opinion mining is the study of ways to solve problems of public opinion, attitudes, and emotions of an entity, in which the entity may represent individuals, events or topics. Sentiment analysis is an important tool for analyzing opinions in social media. This measurement begins with pre-processing consisting of tokenizing, stopwords removal and stemming. This study uses naïve Bayes algorithm and genetic algorithms as applied feature selection. Selection features aim to classify text for the review of online fashion companies. This measurement results in the classification of text in form of positive text and negative text. Measurements are based on the accuracy of naïve Bayes before addition of genetic algorithms and after addition of genetic algorithms as feature selection. Validation using 10 fold cross-validation. For measurement accuracy using confusion matrix and ROC curve. The purpose of the study is to calculate the increased accuracy of naïve Bayes algorithm if using genetic algorithms for feature selection. The results showed that the genetic algorithm was able to improve the accuracy.

Published in: 2018 6th International Conference on Cyber and IT Service Management (CITSM)

 

Date of Conference: 7-9 Aug. 2018

Date Added to IEEE Xplore: 28 March 2019

ISBN Information:

INSPEC Accession Number: 18548540

DOI: 10.1109/CITSM.2018.8674286

Publisher: IEEE

Conference Location: Parapat, Indonesia

Link Paper : https://ieeexplore.ieee.org/abstract/document/8674286