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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Petir Kilat Syntax Idea TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Jurnal E-Komtek Jurnal Scientia JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Journal of Applied Data Sciences International Journal of Social Service and Research Eduvest - Journal of Universal Studies Enrichment: Journal of Multidisciplinary Research and Development Global Management: International Journal of Management Science and Entrepreneurship Journal of Industrial Relations Studies
Hendra Jatnika
Institut Teknologi PLN
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Neuroscience Public Health Social Sciences

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Journal : Journal of Applied Data Sciences

 1 
A Comparative Study on Data Collection Methods: Investigating Optimal Datasets for Data Mining Analysis Jatnika, Hendra; Waluyo, Ari; Azis, Abdul
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.148

Abstract

This study is dedicated to evaluating the efficiency of diverse data collection methods in obtaining optimal data for computational data mining. The investigation meticulously compares the questionnaire and web mining methodologies within the framework of SVM and NBC algorithms to discern the flexibility inherent in each data type. The outcomes of this comprehensive analysis demonstrate that questionnaires showcase remarkable flexibility, exhibiting accuracy rates surpassing 80% in both algorithms, along with AUC values exceeding 0.9 when contrasted with data acquired through web mining techniques. These results underscore the paramount importance of the dataset collection method in the realm of computational data mining. The study contributes compelling evidence that advocates for the superiority of the questionnaire data collection method over web mining in the specific context of computational data mining. The questionnaire method not only outperforms in terms of flexibility but also achieves high accuracy, making it a more reliable choice for acquiring data in this domain. Beyond its practical implications, the research highlights a critical aspect of methodology in data collection by emphasizing the necessity of exploring and assessing methods that may have been overlooked in previous research endeavors. This underscores the continuous evolution of research methodologies and the need for ongoing exploration to enhance the robustness and effectiveness of data collection in computational data mining studies.   
Co-Authors Abadi, Riani Saputri Abd. Rasyid Syamsuri Abdul Azis Adinda Musika Permata Adinda Musika Permata Afief Fadlan Yudri Afifah Nurlita Octaviasari Alexandro Nesta Alexandro Nesta Amanda T Supriadi Arfani Lovina Br Stendel Arfani Lovina Br Stendel Arfani Lovina Br. Stendel Ari Waluyo Azizah Arip Rambe Azizah Arip Rambe Azmi Azis Azmi Azis Bowval Valentino Dahroni, Andi David Gabriel Sembiring Djunaidi, Karina Fakhri Faros Farid Rifai, Mochammad Farid Rifai Gina Afra Ardelia Grace Augustin Sinaga Grace Augustin Sinaga Herman Bedi Agtriadi, Herman Bedi INDAH WULANDARI Istiqomah, Shinta Jefri, Mulya Joey Andrew Fransisco Sihombing Joey Andrew Fransisco Sihombing Julioh H Sihotang luqman Luqman Luqman Luqman Umar Luqman, Luqman Lydia Tiomas Evalien Napitupulu M Yoga Distra Sudirman M. Farid Rifai M. Farid Rifai M. Farid Rifai M. Rafif Soniansyah M. Yoga Distra Sudirman Marsela Tri Anggrainie Marsela Tri Anggrainie Maward, Muhammad Yaseer Meilia Nur Indah Susanti, Meilia Nur Mia Kusmiati Moch. Farid Rifai Mochamad Farid Rifai Mochamad Farid Rifai Mochamad Farid Rifai Mochamad Farid Rifai Mochamad Farid Rifai Mohamad Tanwirul Akbar Mohamad Tanwirul Akbar Muh.Narya Nash Muh.Narya Nash Muhamad Nur Khanib Muhammad Nur Khanib Muhammad Zaid Al Khair Muhammad Zaid Al Khair Muhammad Zaid Al-Khair Mulyo Wibisono, Petra Andriyani Naila Husnaa Napitupulu, Lydia Tiomas Evalien Nasya Miranda Umar Ningrum, Rahma Farah Ocha Nia Martcya Situmorang Octaviasari, Afifah Nurlita Pirmansyah, Yudi Syarif Purwanto, Yudhi Rakhmadi Irfansyah Putra Rian Hasiando Silaen Rifai, Mochamad Farid Rizka Putri Aulia Rusdi Rizka Putri Aulia Rusdi Ruslih, Tatang Ruth Syalomitha hutabarat Ruth Syalomitha hutabarat Sely Karmila Sely Karmila Siagian, Martogi Johan Suswandi, Suswandi Tiara Kusuma, Dine Tyara Anastasya Tyara Anastasya Vincentia Reynada Primadhani Wali Syahputro Cahoyo Kabidoyo Waluyo, Ari Yasni Djamain Yessy Fitriani Yessy Fitriani Yoga Distira Sudirman Yoga Distra Sudirman Yudhi S. Purwanto Yudhi S. Purwanto Yudhi Setyo Purwanto Yudhy S. Purwanto Yudhy S. Purwanto Yudhy S. S Purwanto Yudhy Setyo Purwanto Yudi Setyo Purwanto Yusleli Siagian Yusleli Siagian Zakiya Viantika Sihabudin4 ⁠Muhamad Nur Khanib ⁠Naila Husnaa ⁠Ocha Nia Martcya Situmorang