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All Journal Journal of Artificial Intelligence and Digital Business
Fahmi Iqbal Firmananda
Bisnis Digital, Fakultas Ekonomi dan Bisnis, Universitas Pahlawan Tuanku Tambusai
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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N-Gram Feature for Comparison of Machine Learning Methods on Sentiment in Financial News Headlines Arif Mudi Priyatno; Fahmi Iqbal Firmananda
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 1 No. 1 (2022)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (426.037 KB) | DOI: 10.31004/riggs.v1i1.4

Abstract

Sentiment analysis is currently widely used in natural language processing or information retrieval applications. Sentiment analysis analysis can provide information related to outstanding financial news headlines and provide input to the company. Positive sentiment will also have a good impact on the development of the company, but negative sentiment will damage the company's reputation. This will affect the company's development. This study compares machine learning methods on financial news headlines with n-gram feature extraction. The purpose of this study was to obtain the best method for classifying the headline sentiment of the company's financial news. The machine learning methods compared are Multinomial Naìˆve Bayes, Logistic Regression, Support Vector Machine, multi-layer perceptron (MLP), Stochastic Gradient Descent, and Decision Trees. The results show that the best method is logistic regression with a percentage of f1-measure, precision, and recal of 73.94 %, 73.94 %, and 74.63 %. This shows that the n-gram and machine learning features have successfully carried out sentiment analysis.
Implementation of Digital Transformation at Al-Mahdi Outlets during the Covid-19 pandemic in Pekanbaru City Fahmi Iqbal Firmananda; Zulfan Ependi; Dhya Nadia Laowe; Bustami Bustami
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 1 No. 2 (2023)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v1i2.102

Abstract

Covid entered Indonesia for the first time in March 2020 Covid-19 entered Indonesia for the first time in March 2020, in Indonesia almost every sector has experienced an impact, one of which is the community's economic sector. The economic downturn in Indonesia resulted in a decline. One of the people's economies, namely Micro, Small and Medium Enterprises (MSMEs), is impacted by the Covid-19. In this study, the founder of the Al-Mahdi Pekanbaru outlet, namely Dinawati, was founded in 1998 in the city of Pekanbaru. This is the first kemojo cake business in Riau. The outlet produces and markets kemojo cake, a typical food from Riau Province. This business was initiated at the age of 24, after Covid-19 hit Indonesia, it had a negative impact, decreased turnover, termination of employment, increased raw materials, added to the enactment of social distancing and large-scale social restrictions (PSBB). The need to adapt to digital transformation using and utilizing social media in supporting business continuity. In Research Ni Made, et al 2021) This study aims to understand the importance of the right digital transformation model for every SME business, especially in taking advantage of the accelerated momentum due to the social restriction policy imposed during the COVID-19 pandemic, because choosing the right model is believed to provide probabilities which is better than a successful transformation. The results of this study are the success in implementing digital transformation by utilizing e-commerce, social media and online transportation such as go-jek with go-food features.
Co-Authors Arif Mudi Priyatno Bustami Bustami Dhya Nadia Laowe ZULFAN EPENDI