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Analisis Sentimen Masyarakat Indonesia Terkait Vaksin Covid-19 Pada Media Sosial Twitter Menggunakan Metode Support Vector Machine (Svm) Arfat, Muhammad Fadilah; Styawati, Styawati; Nurkholis, Andi; Kurniawan, Indra
Jurnal Informatika: Jurnal Pengembangan IT Vol 7, No 2 (2022)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v7i2.3549

Abstract

COVID-19 is a new disease outbreak that has been officially designated as a global pandemic by the Worldi Health Organizationi (WHO) oni March 11, 2020. Seeing the rapid development of COVID-19, the Government of Indonesia has carried out vaccinations that have been carried out since January 13, 2021, this vaccination is prioritized for medical personnel and red zone areas. Since its emergence, therei have been many prosi andi consi regardingi the vaccination process and it has alsoi become a trending topici on sociali media Twitter oni January 13, 2021. Onei of the mosti widely used social media by Indonesiani people isi twitter sociali media. According to We arei Social sources in 2020, twitteri social media is rankedi fifth in the category of sociali media that is often used with a user percentage of 56% after Youtube, Whatsapp, Facebook as well as Instagram. Thisi shows that there is a huge opportunity for data sources that can be usedi to find out the positive and negativei sentiments of the related community, which is useful for interested parties to carry out evaluations. So that it can see how many people agree and disagree. If the percentage of people who disagree is more, the government must do better socialization so that people can better understand and not feel afraid of the vaccine. This study aims to find out how public sentiment is about the government's policies regarding the COVID-19 vaccinei using the Support Vector Machine method. by extracting the tf-idf feature and comparing the kernels contained in the SVM, including Linear, RBF, Polynomial, and Sigmoid. With tests that will later see how the values of accuracy, precision, recall and F1-Score are. 
LITERASI ARTIFICIAL INTELLIGENCE UNTUK GURU MADRASAH ALIYAH KUN SHOLIHAN Rudy Cahyadi; Budi Suyanto; Andi Nurkholis; Andrey Ferriyan
Jurnal Padamu Negeri Vol. 2 No. 4 (2025): Oktober : Jurnal Padamu Negeri (JPN)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/e3nx7t82

Abstract

The development of artificial intelligence (AI) technology has brought about significant changes in various aspects of life, including education. AI is now used not only in industry and business but has also penetrated classrooms as a learning aid, personalized material, and even as a learning evaluation system. However, the use of this technology is not yet fully understood and optimally implemented by educators, especially in madrasah environments. Therefore, an AI literacy training program specifically designed for teachers at Madrasah Aliyah Kun Sholihan is needed. This training is expected to improve teachers' understanding of the basic concepts of AI, its application in learning contexts, and practical skills in using various AI-based platforms or applications to support more interactive, effective, and adaptive teaching and learning activities.
METODE VECTOR SPACE MODEL UNTUK WEB SCRAPING PADA WEBSITE FREELANCE Andi Nurkholis; Yusra Fernando; Faris Arkans Ans
INTI Nusa Mandiri Vol. 18 No. 1 (2023): INTI Periode Agustus 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i1.4266

Abstract

Abstract— In digitalization era, internet is at the center of all lines of community activity, just like the field of work. Currently, many platforms provide job vacancies, especially for freelancers. To obtain this information, users usually need to open several websites to find information about suitable job vacancies. Web scraping offers solution to overcome these problems. Based on research that has been done, the BeautifulSoup and Selenium libraries will be used to collect data. To search for data, vector space model method is used to find the level of data similarity between the query and the document. In exploring data, the average near-perfect recall value is 98%, while the average precision value is 56%. This is because data search uses three parameters, so the possibility of retrieving irrelevant data is more significant if the document contains a word in the user's query, even though the context does not match. Utilizing the Streamlit framework in Python can display the data processing results and help users navigate the web scraping process, data processing, and data search. This study aims to implement the web scraping method to retrieve data from freelance websites: Freelance, Project, and Sribulancer. By applying the vector space model method, users can search data from several websites without opening freelance websites one by one. Using data visualization in the form of a web application using the Streamlit framework, the web scraping results can also be processed to be presented in a more helpful form and save the user's time
Co-Authors Adi Sucipto, Adi Ady Candra Nugroho Afifudin Afifudin Aftirah, Nadia Agung Riyantomo Ahmad Ari Aldino Aldi Bagus Prasetyo Alita, Debby Alvi Suhartanto Andrey Ferriyan Anjumi, Krisma Nur Annisa Annisa Ans, Faris Arkan Arfat, Muhammad Fadilah Arief Budiman Aris Munandar Bagas Aditama Bagus Miftaq Hurohman Berlintina Permatasari Budi Suyanto Dalimunthe, Ernando Rizki Damayanti, Damayanti Dyah Ayu Megawaty Eka Saputra Ellin Gusbriana Erliyan Redy Susanto Fahreza Aditya Aryatama Faris Arkans Ans Fernando, Yusra Firmansyah, Ilham Gusti Firmansyah Gustian Rama Putra Harry Gunawan Heni Sulistiani I Ketut Wahyu Gunawan Imas Sukaesih Sitanggang Indra Kurniawan Indra Kurniawan Irsan, Aqilla Hattami Irwan Tubagus Isnain, Auliya Rahman Iwan Syahputra johansyah johansyah Johansyah Johansyah Jupriyadi Jupriyadi Jupriyadi, Jupriyadi Kartini, Nuri Koeswara, Wawan Leny Meilisa M Fabian Apriando Maria Ainun Nazar Mega Desi Diah Ayu Megawaty, Dyah Ayu Mohammad Tafrikan Muhammad Aldhi Septianto Muhammad Fadilah Arfat Muhammad Fauzan Ramadhani Muhammad Fitratullah Muhammad Hamdan Sobirin Muhaqiqin Muhaqiqin muhaqiqin Nadia Aftirah Nadiya Safitri Neneng Neneng Oktora, Putri Suci Pasaribu, A. Ferico Octaviansyah Pasha, Donaya Prasetyo, Aditya Dwi Pria Agung Laksono Priandika, Adhie Thyo Purwayoga, Vega Rafi Athallah Rahayu, Masnia Rahayu, Ririn Wuri Ramadhani, Muhammad Fauzan Renda Bimantara Rikendry Rikendry Rio Andika Rulyansyah Permata Putra S. Samsugi Sakti, Hakim Erlangga Bernado Sampurna Dadi Riskiono Saputra, Alvin Setiawansyah Setiawansyah Sitanggang, Imas S. Siti Yuliyanti, Siti Sobir Sobir Sokid, Sokid Styawati Styawati Styawati, S Styawati, Styawati Suhartanto, Alvi Susanto, Erliyan Redy Syahirul Alim Syaiful Ahdan Temi Ardiansah Tia Nanda Pratiwi Tiara Azizul Andika Tiyas Utami Tri Widodo Try Susanto Veithzal Rivai Zainal Wahyu Sardjono Wawan Koswara Wijaya, Suhenda Yeris Ari Sandi Yopita Anggela Yuri Rahmanto Yusra Fernando Zaenal Abidin Zahra Kharisma Sangha Zahrina Amalia Zainabun Mardiyansyah