Article Per Year (5 Year)
p-Index From 2020 - 2025
6.022
P-Index
This Author published in this journals
All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Simantec POSITIF Sistemasi: Jurnal Sistem Informasi BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Teknologi dan Informasi Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Vokasi Journal of Artificial Intelligence and Engineering Applications (JAIEA) Proceeding Applied Business and Engineering Conference Journal Of Artificial Intelligence And Software Engineering Jurnal INFOTEL Jurnal Sistem Informasi dan Manajemen eProceeding of TIK Jurnal Teknologi Rekayasa Informasi dan Komputer
Arhami, Muhammad
Unknown Affiliation
Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 43 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Sistem Informasi dan Manajemen

 1 
PENGGUNAAN NAÏVE BAYES UNTUK PREDIKSI MINAT PASAR KEWIRAUSAHAAN BERDASARKAN DATA MICROBLOGGING Meilvinasvita, Dwi; Mufida, Nabila; Arhami, Muhammad; Salahuddin, Salahuddin
JURSIMA Vol 10 No 3 (2022): Jursima Vol.10 No.3
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.516

Abstract

The initial problem in entrepreneurship is that it is usually difficult for entrepreneurs to understand the demands and needs of potential consumers. Market uncertainty and changes in demand make entrepreneurs unable to predict market demand and needs. The purpose of this study is to conduct a robust evaluation of the collection of information obtained from microblogging data to estimate market variables. By designing a predictive system for entrepreneurial market interest through the use of the Twitter microblogging platform using the nave Bayes method, this system can generate market prediction models automatically through the use of popular microblogging data. The nave Bayes method is used to classify data for certain market interests. This prediction result is expected to be an effective way to improve performance and competitive advantage in entrepreneurship. The dataset is taken from one of the microblogging platforms, namely the twitter application with five keywords from the clothing business branch including pants, jackets, mukena, tunic and kebaya. The dataset taken is divided into two, training data and test data. The training data is used to make prediction models, while the test data are used as evaluation data for the design of the model. After testing, the accuracy of the system generated by the model is 87%. The model made using the nave Bayes method is categorized as very good at making predictions. The results of prediction accuracy can be seen in the form of popular news as a reference in providing products according to the demands and needs of potential consumers
Co-Authors ., Mursyidah Abdi, Musta’inul Adhimullah, Adhimullah Adriana Adriana Affandi, Azhar Kholiq Agustin, Riya Sri Al Fath, Muhammad Fajar Ali Amran Amirullah -, Amirullah Andhini, Shania Putri Anita Desiani Anwar Anwar Aulia, Annisa Rizka Azhar Azhar Davi, Muhammad Des Alwine Zayanti, Des Alwine Dian Cahyawati Fajriaty, Siti Fauzani, Lia Fitri, Intan Ginting, Rachel Ardana Putra Hendrawati Hendrawati Hendrawaty Hendrawaty, Hendrawaty Henisaniyya, Nabila Hidayat, Hari Toha Husaini Husaini Huzaeni, Huzaeni Indrawati Indrawati Insan, Jamalul Irmeilyana Isnani Isnani Kanda Januar Miraswan Khadafi, M. Khairunnas, Muhammad Fadil Kurniawati, Devy Mahdi Mahdi, Mahdi Mahmudah, Rifa’atun Masyitha, Masyitha Maulana, Muhammad Andra Meilisa, Dinda Meilvinasvita, Dwi Mesti, Mesti Mortara, Alda Amalia Muakhir, Muakhir Mufida, Nabila Muhammad Arifai Muhammad Davi Muhammad Nasir Muhammad Reza Zulman Muhammad Rizka, Muhammad Mulyadi Mulyadi Muzammil, Muzammil Nahar, Nahar Narti Narti, Narti Nasution, Siti Aisyah Novi Rustiana Dewi Nurakmalinda, Nurakmalinda Permatasari, Mitta Pertiwi, Citra Purnahar, Fadhil Rahmadhani, Syiva Rahmadita, Suristhia Raiyan, Muhammad Ramayanti, Indri Rifkie Primartha Rizqillah, Rizqillah Rudi F, Fachri Yanuar Safriadi Safriadi Safriani, Yuni Salahuddin Salahuddin Salahuddin Salahuddin Salnadila, Salnadila Sari, Suci Indah Sasongko, Muhammad Aditya Sitorus, Dina Suzzete Sri Indra Maiyanti Sugandi Yahdin Sugeng, Santoso Sukma, Melati Dian Yadi Utama Yassir Yassir Yuli Andriani Yuliana Yuliana Zahara, Fitria