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All Journal Techno.Com: Jurnal Teknologi Informasi JUITA : Jurnal Informatika Jurnal Informatika dan Teknik Elektro Terapan JAIS (Journal of Applied Intelligent System) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer Jurnal ICT : Information Communication & Technology Infotekmesin JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Innovation Information Technology and Application (JINITA) Brahmana : Jurnal Penerapan Kecerdasan Buatan JOINT (Journal of Information Technology Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) Informatics and Digital Expert (INDEX) Jurnal Puan Indonesia Tedc Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Journal of Informatics and Electronics Engineering Journal Of Artificial Intelligence And Software Engineering Competitive Jurnal Informatika: Jurnal Pengembangan IT Scientific Journal of Informatics Journal of New Trends in Sciences JPPkM: Jurnal Pengabdian dan Pemberdayaan kepada Masyarakat Journal of Applied Information Technology and Innovation
Castaka Agus Sugianto
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Journal : JAIS (Journal of Applied Intelligent System)

 1 
A Covid-19 Sentiment Analysis on Twitter Using K-Nearest Neighbours Castaka Agus Sugianto; Shandy Tresnawati
Journal of Applied Intelligent System Vol 7, No 1 (2022): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v7i1.5984

Abstract

In December 2019, an outbreak named Corona Virus (SARS-CoV-2) occurred in the city of Wuhan, China which was later known as COVID-19. News of the development of the virus spread through various media, one of which was through the well-known platform Twitter. Twitter is one of the widely used media platforms to communicate about Covid-19. Information related to Covid-19 circulating in the community can be in the form of news or opinions or opinions. Then, the circulating information will be classified into three classes, namely positive, negative or neutral. The method used to calculate the prediction of text classification on Twitter is K-nearest neighbors (KNN). The dataset used in grouping on twitter by using the account name Covid19. Firstly, the dataset by crawling data or information on twitter. Secondly, the text mining stage to determine the class distance value and calculate the Euclidean distance formula based on all the training data to be tested. After the training process is complete, the evaluation model used will be used, the Euclidean results are taken based on the value of the closest distance. The accuracy of the model will be calculated using the previous Euclidean method. The results of this study he obtained with the highest value, one of which was 78% using a 50:50 sample comparison with k-5 and k-9 values.
Expert System of Facial Skin Type Diagnosis and Skincare Recommendation Based on Certainty Factor Dadan Saepul Ramdan; Castaka Agus Sugianto; Rizqy Dimas Monica
Journal of Applied Intelligent System Vol 7, No 3 (2022): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v7i3.7150

Abstract

Facial treatment is an important need for everyone because the first sight of meeting someone is to see their face. Generally, facial skin type is just normal skin. However, several factors such as the environment, air, food, facial hygiene, and so on can affect the type of human facial skin. In this experiment, there were 5 types of facial skin, namely normal skin, dry skin, oily skin, combination skin, and sensitive skin. With the existence of various skin types, it makes some people confused in determining the type of facial skin. This also affects the selection of skincare or facial care according to the indications of each facial skin. Therefore an expert system was created to diagnose facial skin types. An expert system is a man-made system that is used to solve problems like an expert with knowledge from human to computer, although it does not give 100% absolute results, but expert systems are still helpful.
Film Review Sentiment Analysis: Comparison of Logistic Regression and Support Vector Classification Performance Based on TF-IDF Ramdan, Dadan Saepul; Apnena, Riri Damayanti; Sugianto, Castaka Agus
(JAIS) Journal of Applied Intelligent System Vol. 8 No. 3 (2023): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i3.9090

Abstract

Film sentiment analysis is a process for evaluating a sentiment value that exists in film reviews, so that positive or negative responses from films can be identified. In this study, a sentiment analysis will be carried out on film reviews on IMBD. The analysis was carried out to find out which reviews were positive and negative from film critics. The method used to carry out sentiment analysis in this study is review analysis and processing with TF-IDF and a positive or negative prediction process based on reviews that have been processed using a logistic regression algorithm and support vector classification. The data to be used is film reviews on IMBD, which consists of 2000 data, which is divided into 1000 positive data and 1000 negative data. Which is where the data will be preprocessed first and split with a percentage of 70% training data and 30% testing data. In the prediction process using the logistic regression algorithm, obtaining a test accuracy of 80.61%. While the prediction process using the support vector classification algorithm obtains a test accuracy of 82.42%.
Co-Authors Ade Yuliana Aditia Gusman Aldy Noer Tjahyo Apnena, Riri Damayanti Aqmal Mulqy Bagja Laksana Ari Sudrajat Aris Haris Rismayana Arya Aditya Ayu Hendrati Rahayu Candra Irawan Christy Atika Sari Dadan Saepul Ramdan Dahlan Dahlan Dini Rohmayani Eko Hari Rachmawanto Faishal Fachruddin Febianto, Aldi Kristiawan Firdhani Faujiyah Fitrah, La Ode Muhammad Fredricka, Jhoanne Gerinata Ginting Heldi Akbar Kosasih Hidayah, Hamimah Nur Himawan, Aldi Iqna Aulia Iskandar, Rachmat Juniardi, Trianda Kosasih, Heldi Akbar Lela Kesmasari Maulana, Firdi Rizky Melani Nur Astita Mohamed Doheir Muhammad Ridwan Nadya Selvi Pujiyanita Nafea, Mohammed Mansoor Nandhita Ayusari Nia Ekawati, Nia Novita Lestari Anggreini Pebriana, Sela Perdana, Rangga Satria Pujiyanita, Nadya Selvi Rahmawan, Septiadi Ramdan, Dadan Saepul Riansyah Ramadhan, Gery Riyan Riyan Rizqy Dimas Monica Rosdianti, Elfi Safira, Rifa Sari, Putri Nurlaela Shandy Tresnawati Sukmawati, Dini Syaefuloh, Herman Syams, Fawwaz Muhammad Syifa Fauzia Tahir Tahir, Syifa Fauzia Tati Ernawati Taufik Fajar Mustafa Tresnawati, Shandy Tri Herdiawan Apandi Tri Pratiwi Olivia Riska Bokings Wanaziana, Keny Kirana Zulkipli ., Zulkipli Zundi, Teguh Muhammad