Lavenia, Nur Lickha
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Sentiment Analysis on Twitter Social Media Regarding Depression Disorder Using the Naive Bayes Method Lavenia, Nur Lickha; Permatasari, Reisa
CoreID Journal Vol. 1 No. 2 (2023): July 2023
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v1i2.14

Abstract

Depression disorder is a serious issue in mental health that affects many individuals worldwide. This research analyzes the sentiments related to depression disorder on Twitter using the Naïve Bayes method. Depression-related tweet data was collected through snscrape and processed to eliminate irrelevant information. Three Naïve Bayes methods, namely Multinomial, Gaussian, and Bernoulli, were compared to classify positive, negative, or neutral sentiments in each tweet. The results of the study indicate that Multinomial Naïve Bayes exhibited the best performance with an accuracy rate of 90.13%, followed by Gaussian Naïve Bayes (88.38%), and Bernoulli Naïve Bayes (85.37%).
Pembuatan HRM Apps Sebagai ERP Berbasis Mobile Melalui Rest API Nur Cahyo Wibowo; Lavenia, Nur Lickha
INCOME: Indonesian Journal of Community Service and Engagement Vol 2 No 1 (2023)
Publisher : EDUPEDIA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56855/income.v2i1.121

Abstract

It is undeniable that information technology is one of the main drivers of innovation in a business by enabling new ways to create and capture value, mechanisms for exchange of values and transactions, and the formation of a more adaptive organizational structure. One of the information technologies adopted and implemented by the company in optimizing the management of all of its resources is the ERP system. In this study, the ERP system implementation process was examined using odoo software at PT. XYZ which is an ERP provider that has 1750+ clients in several city companies in Indonesia. One of the implemented modules is the human resource management module which will accommodate the human resource management process in the company. In this module there are several sub-modules such as employees, leave/leave, nursing, contracts, and attendance. In implementing this system, using the rest API to connect applications with the company's back-office system.