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All Journal International Journal of Electrical and Computer Engineering TEKNIK INFORMATIKA Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Rekayasa Mesin Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer JOIN (Jurnal Online Informatika) JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL ILMIAH INFORMATIKA Abdimas Dewantara ILKOM Jurnal Ilmiah Jurnal Surya Masyarakat IJID (International Journal on Informatics for Development) IJISTECH (International Journal Of Information System & Technology) Edsence: Jurnal Pendidikan Multimedia JURNAL CRANKSHAFT JUTIS : Jurnal Teknik Informatika JISKa (Jurnal Informatika Sunan Kalijaga) Infotekmesin Jurnal Bakti Saintek: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Cyber Security dan Forensik Digital (CSFD) Jurnal Surya Masyarakat IJISTECH Jurnal Media Informatika Teknomatika: Jurnal Informatika dan Komputer
Bambang Sugiantoro
Universitas Islam Negeri Sunan Kalijaga
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Journal : JURNAL MEDIA INFORMATIKA BUDIDARMA

 1 
Membangun Framework Konseptual Terintegrasi Menggunakan Metode Composite Logic untuk Cloud Forensic Readiness pada Organisasi Merisa Kurniasari Fadilla; Bambang Sugiantoro; Yudi Prayudi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3427

Abstract

In the Forensic Readiness approach, incident readiness is the goal of the company or organization in dealing with incidents that may occur. Forensic Readiness can consist of actions or steps, technical and non-technical, that supposedly maximize an organization's ability to use digital evidence. A well-built Cloud Forensic Readiness Framework can help speed up and simplify decision-making regarding an incident occurring in a cloud computing environment. This creates new opportunities for collaboration in the field of digital forensics and cloud computing or cloud computing, so that solutions can be studied and researched by analyzing various literature sources of cloud computing forensic readiness framework and building an integrated cloud forensic readiness framework on an institutional scale using the composite logic method. With the completeness of the readiness framework designed, it is a kind of research that is expected to ease decision making process for organizational stakeholders to handle incident responses.
Studi Komparasi Metode Analisis Sentimen Naïve Bayes, SVM, dan Logistic Regression Pada Piala Dunia 2022 Muhamad Zaki Anbari; Bambang Sugiantoro
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.5383

Abstract

The world cup is the most popular sporting event in the world. The 2022 World Cup will be held for the first time in the Middle East, in the country of Qatar to be precise. Its implementation was colored by various controversies ranging from human rights issues, LGBT+ issues, issues of alcoholic beverages, and so on which were so busy in the mainstream media. Various sentiments and opinions have emerged on social media regarding the implementation of the world cup, some have positive opinions and some have negative ones. Sentiment analysis was carried out to find out the main opinions that are developing in society regarding the 2022 world cup, the results can then be used as input and consideration for policy makers. This study uses the snscrape library running on the Python programming language to collect tweets related to the 2022 World Cup on the Twitter social media platform on the first day of the World Cup. The collected data then enters the pre-processing, splitting, TF-IDF stage, before it is ready to be used for modeling. The method used in this research is Bernouli Naïve Bayes, Support Vector Machine, and Logistic Regression. The evaluation results show that the Bernouli Naïve Bayes method produces a precision parameter value of 71%, a recall parameter of 99%, and an accuracy of 76%. While the Support Vector Classifier method produces precision parameter values of 94%, 93% recall parameters, and 92% accuracy. The Logistic Regression method produces a precision parameter value of 93%, a recall parameter of 93%, and an accuracy of 92%.
Co-Authors Abdul Haris Muhammad Abdullah, Mohd. Fikri Azli bin Afrianto, Nurdi Agung Fatwanto Ahmad Luthfie Ahmad Subki Akbar, Bintang Faisal Akbar, Muhammad Tulus Akbar, Reonaldo Al Jum'ah, Muhammad Na'im Alfani, Muhammad Nur Alfarizi, Naufal Faiz Alifah Amalia Amalia, Alifah Amanulloh, Rivkih Amin Pujiati Amin Retnoningsih Anbari, Muhamad Zaki Arromdoni, Bad’ul Hilmi Astari, M Rizky Asyhab, Naufal bahary, muhammad syaiful Bahry, Muhammad Syaeful Budi Permana Putra Budiman, Kholiq Candra, Dori Gusti Alex Dewantara, Rizki Efdika, Muhamad Fadil Elvanisa Ayu Muhsina, Elvanisa Ayu Endra Yuliawan Fahmi Romisa Gatra, Ramadhan Gunawan Gunawan Habibah, Berlian Ummu Hafizuddin, Faiz Akhmad Hakim, Fani Rakhman Hanif Hanif Hartono Hartono Helmi Rachman Hikmatyar, Firmansyah Gustav Idir Fitriyanto Idir Ika Arfiani Imtikhan Azmi, Himawan Istianto, Yudi Izdiharsant, Almaas Jazi Eko Istiyanto Karmesti, Danissa Wirna Kesumahadi, Lisdianto Dwi Khanif Setiyawan Mahbub Puba Fawzan Mahbub Puba Fawzan, Mahbub Puba Mahmuda, Muhimmatul Mardlian, M. Sa’id Abdurrohman Kunta Maria Ulfa Siregar Maria Ulfah Siregar Maria Ulfah Siregar Meiditra, Irzon Merisa Kurniasari Fadilla Muhamad Fadli Muhamad Zaki Anbari Muhammad Hambali, Muhammad Muhammad Reza Velayani Muhammad Taufiq Nuruzzaman Mujahidah, Latifatul Mulyana, Riyan Nana Supriyana Ngisomudin, Ngisomudin Nora Lizarti Nuruzzaman, Muhammad Taufiq Pomalingo, Suwito Prasdika, Prasdika Pratiwi, Millati Putry Wahyu Setyaningsih Qorry Aina Fitroh Rachman, Helmi Rahmadhan Gatra Retantyo Wardoyo Rini Audia Rinny Asasunnaja Riwanto, Yudha Romisa, Fahmi Rusnaldhy, Rusnaldhy Sakuri, Sakuri Sakuri, Sakuri Shofwatul 'Uyun Shofwatul ‘Uyun Son’Aniy, Irham Sophan Sofian Sri Hartati Sucinta, Hanny Handayani Sumarsono , Sumarsono Supriyono, Abdul Rohman Susilo Adi Widyanto Sutarno Sutarno Tasya Kumala Dewi, Bella Tri Widodo Utis Sutisna Warso Warso, Warso Wicaksono, Nur Kukuh Wildan Nadiyal Ahsan Winasis, Bima Putra Wishnu, Asep Yudi prayudi Yuha Bani Mahardhika