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All Journal Journal Of Management Science (JMAS) Jurnal Sistem Informasi Kaputama (JSIK) Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) International Journal of Community Service Implementation Jurnal Pengabdian Masyarakat Multi Disiplin Ilmu Pascal: Journal of Computer Science and Informatics
Prahmana, I Gusti
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Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Transportation Other

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Journal : Journal of Mathematics and Technology (MATECH)

 1 
SISTEM PENDUKUNG KEPUTUSAN PENANGANAN PENYAKIT DENGUE HEMORRHAGIC FEVER (DBD) DENGAN MOTEDE SAW Sijabat, Maruba; Hara Pardede, Akim Manaor; Prahmana, I Gusti
Journal of Mathematics and Technology (MATECH) Vol. 2 No. 2 (2023): Journal MATECH (November 2023)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v2i2.152

Abstract

Dengue hemorrhagic Fever/Dengue Hemorrhagic Fever is an acute febrile disease that can cause death and is caused by four serotypes of viruses of the genus Flavivirus, RNA viruses of the Flaviviridae family. Dengue is transmitted to humans mainly by the Aedes aegypti mosquito and the Aedes albopictus mosquito, and is also transmitted by Aedes polynesiensis and several other mosquito species that actively suck blood during the day. After the infective blood is inhaled by the mosquito, the virus enters the mosquito's salivary glands and multiplies to become infective within 8-10 days, which is called the extrinsic incubation period. Dengue cases (dengue hemorrhagic fever) continue to increase every year, according to the World Health Organization (WHO) as much as 3.21% in 2020 of the total world population. In Indonesia, cases reached 16,320, in June 2021, which is still a high number. The number of cases in April was 6,417 cases, this prevalence increased when compared to cases in May 2021 which were 9,903 cases. Due to DHF (Dengue hemorrhagic fever) which increased causing the death rate in May of 98 cases, an increase in June was recorded 147 cases. Therefore, it is necessary to take decisions that can be used to support and assist management in making semi-structured and unstructured decisions. To determine the treatment mitgasi action on dengue hemorrhagic fever quickly and reduce the high risk of contracting dengue fever. Problems in dengue hemorrhagic fever can be solved by using the saw method to determine the handling action quickly. From the tests conducted obtained values ranging from the lowest value to the lowest in the case of dengue hemorrhagic fever (DHF), so based on the acquisition of the highest value of 0.7525 (75.25%) in Alternative 1.
EXPERT SYSTEM OF DISEASE DIAGNOSIS IN RABBITS USING CERTAINTY FACTOR METHOD Wardani, Sisca; Pardede, Akim Manaor Hara; Prahmana, I Gusti
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 1 (2024): Journal MATECH (May 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i1.164

Abstract

Rabbits are mammals of the family leporidae, which can be found anywhere, rabbits are increasingly popular in the community not to be kept alone even to a profitable side business. Raising rabbits is not new anymore, there are several places that sell and buy rabbits that are very interesting. The development of rabbit farming needs to be considered because of the disease in rabbits caused by several factors including ectoparasites that are late to be handled because of the lack of knowledge of rabbit farmers about the initial action before being brought to the animal clinic, and long distances limit farmers in conducting consultations on handling diseases in rabbits. Therefore, the need for a system to diagnose diseases in rabbits by knowing some of the symptoms early, with this system is expected to be an alternative use of technology that can be used to detect rabbit disease early on quickly, precisely, and accurately, so that for the future treatment of rabbit disease sufferers can be handled more quickly by using the certainty factor method that is more accurate in analyzing data quickly in getting the diagnosis of rabbit disease. From the test conducted with the selected symptoms, namely hair loss, scales on the scalp, the scalp looks cracked, then the highest percentage value of the test results with a value of 100% and diagnosed infectious diseases of the scalp.
SOKA CRAB DISEASE DIAGNOSIS SYSTEM USING CERTAINTY FACTOR METHOD Alfariza, Muhammad Arjuna; Sihombing, Marto; Prahmana, I Gusti
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 2 (2024): Journal MATECH (November 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i2.182

Abstract

Soka crabs (soft cell crabs) are crabs in the molting phase or soft shell crabs. Crabs in this phase can be used as a whole so that this is an advantage of soka crabs (Sayuti, 2018). To get the maximum benefit, soka crab cultivation should not be done on the side or just a subsistence activity. Soka crabs can live in high stocking densities. Therefore, soka crab cultivation will provide more benefits if done intensively. But there are also problems that arise in soka crabs. The problem is the failure of this crab rearing activities. One of the causes of failure of this activity is due to disease factors. The emergence of disease disorders in crabs is a risk that must always be anticipated. Therefore, the authors will create an application system that can diagnose diseases that attack the soka crab. In the application, users only need to answer questions given by the application to be able to find out the disease that is attacking the soka crab. With the creation of this application people know about how to deal with the problem of disease in soka crabs, for that with this application the problem of lack of experts can be resolved. From the results of the analysis performed manually obtained the value of the certainty factor from the input of symptoms leading to Aeromonas spp is 73.1264%.
Co-Authors Achmad Fauzi Alfariza, Muhammad Arjuna Anggi Pratiwi, Anggi Annatasia Br Sitepu, Kristina Aulia, Damai Aulia Br Karo Azmy, Maulida Buaton, Relita Darma Yanti, Intan Destiara, Destiara Dwi Pratiwi, Sella Fatmaira, Zira Khair, Husnul Kristina Annatasia Br Sitepu MANURUNG, HOTLER Muhammad Gifary Novriyenni Pardede, Akim Manaor Hara Pasaribu, Tioria Putra, Suria Alamsyah Ramadhan, Said Ratih Puspadini rifa'i, Muhammad Rika Oktavia Rozaq Habibi Selfira Selfira, Selfira Sihombing, Marto Sijabat, Maruba Turnip, Liana Tasya Wardani, Sisca Yani Maulita Yusrina, Eli