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Journal : International Journal of Quantitative Research and Modeling

Comparison of Dengue Hemorrhagic Fever (DHF) Cases Between Male and Female in Bandung City Maharani, Nisrina Deyan; Wijaya, Indri; Germana, Gilang; Zhafira, Aqilah Febrianti; Hafiza, Ayesha Ghania; Tiara, Lovely; M, Ali Fatih; Azkia, Safa Nur; Fathia, Nur Rusyda; Sehan, Putri Nabilah; Subekti, Rahma Oka; Hadi, Rahmat Hibatul; Hidayat, Yuyun
International Journal of Quantitative Research and Modeling Vol. 6 No. 3 (2025): International Journal of Quantitative Research and Modeling (IJQRM)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i3.1038

Abstract

Dengue Hemorrhagic Fever (DHF) is an infectious disease that is a serious health problem in tropical regions such as Indonesia, including Bandung City, which has a high population density and environmental conditions that support the development of the Aedes aegypti vector. This study aims to determine the difference in the number of DHF cases between men and women in Bandung City during the period 2023-2024. Secondary data were obtained from two different sources and analyzed using the chi-squared statistical test. The combined results show that the number of DHF cases in men was 1,607 cases, which shows a higher number compared to women, who had 1,590 cases. The calculated value in 2023 was 0.65, and in 2024, it was 0.015. While the combined data in 2023-2024 had a X2 Value of 0.5708. This shows that the results of the three calculations are smaller than the X2 Table value of 3.84 (α = 0.05; df = 1), so the null hypothesis is accepted and the alternative hypothesis is rejected. Thus, it can be concluded that there is no significant difference in the number of dengue fever cases between men and women. This finding suggests that gender is not a determining factor in the spread of dengue fever cases in Bandung City.
Comparative Analysis of the Effectiveness Between Malwarebytes and BitDefender to Prevent Malware Attacks Yohanza, Mohammad Zidan; Giat, Muhammad; Fadhilah, Muhammad Iksan; Sulaeman, Mohammad; Iskandar, Ibrahim Dafi; Hidayat, Yuyun
International Journal of Quantitative Research and Modeling Vol. 5 No. 2 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i2.313

Abstract

Malware is the largest type of cyber-attack case in Indonesia. With the number of cases of malware occurring, many emerging software that provides services to ward off malware attacks. It takes the most effective anti-malware software to ward off malware attacks, so research is carried out. This study tested the detection and removal power of two anti-malware software (BitDefender and Malwarebytes). The initial research method used is to make a Pilot test which is a prefix in malware testing. In the Pilot test, the initial testing process for anti-malware software is carried out. Software that tested in the Pilot test include Malwarebytes, BitDefender, Avast, Cybereason, AVG, Avira. In the Pilot test, as many as 30 malwares were tested to determine which two software had the highest percentage of detection and removal tests. Furthermore, the data from the previous test got analyzed using the proportion of two populations test to determine the most effective software. With the tests of 500 malwares, it was found that the proportion of detection and removal of the BitDefender software is better than the Malwarebytes software. Therefore, it can be concluded that the BitDefender software is more effective than the Malwarebytes software as seen from the results of the test of the proportion of malware detection and removal.
Co-Authors Achmad Bachrudin Ade Dwi Fatwa Agus Santoso Akbar, Arief Rahmad Maulana Alfadli M S Andaru Danurdara W Anggraeni, Salwa Anissa Lestari Kadiyono Arafah, Safila Siti Aris Ma’ruf Audhyanto, Claudya Valerinne Aziza Ayu Nurjannah Azkia, Safa Nur Azzahra, Alika Fatihah Azzahra, Nailah Azzahra, Siti Alya Beatrice, Florentia Dhika Surya Pangestu Diana Ekanurnia Diana Harding Dwi Susanti Eman Lesmana Endang Rusyaman Endang Soeryana Hasbullah Fadhilah, Muhammad Iksan Fathia, Nur Rusyda Fernanda Desmak Pertiwi Firman Rezaldi Geraldine, Keysia Feliani Germana, Gilang Giat, Muhammad Hadi, Rahmat Hibatul Hafiza, Ayesha Ghania Hazman Hiwari Herlina Napitupulu Hiwari, Hazman Ilham, Nur Indah Khairunnisa Kurniawaty Indrayana, Ayesha Qabila Ramazani Indriyani Iskandar, Ibrahim Dafi Jumadil Saputra kalfin Kalfin Kamila, Mutiara Shofa Kareema, Najwa Haniah Nur Krisdianto Sugiyanto Lia Aprilia M, Ali Fatih Maharani, Nisrina Deyan Manik, Tetti Novalina Maulana, Rafeyfa Ashyla Putri Muhammad Davio Athallah Nurshiyam, Dini Nurul Yanuarti Oni Soesanto Praceka, Java Ahmad Forouzan Purwandi, Avicenna Ihyal Faza Putri, Alesyia Tharfaira Putri, Alifa Kaliyana Rahmat Eko Sanjaya Rahmat Yunus Rasjava, Achmad Ramadhanna'il Retna Yulrosly Ningtias Satriyatama Tristan Suhardjono Sehan, Putri Nabilah Sri Cahyo Wahyono Subekti, Rahma Oka Subiyanto Subiyanto Subiyanto Subiyanto Sudradjat Supian Sukmariwati, Anisa Sukono . Sulaeman, Mohammad Susilo, Tanto Budi Sutomo Sutomo Tatsbita, Ghaisha Izzati Tiara, Lovely Titi Purwandari Triyani Hendrawati Wafi Fahruzzaman Wan Muhamad Amir W Ahmad Wijaya, Indri Yanuar, Alfarizi Haunan Yohanza, Mohammad Zidan Zahran Hanif F Zaina, Ratu Faiza Zhafira, Aqilah Febrianti