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All Journal Techno.Com: Jurnal Teknologi Informasi Pixel : Jurnal Ilmiah Komputer Grafis Jurnal Informatika Upgris JURNAL MEDIA INFORMATIKA BUDIDARMA ILKOM Jurnal Ilmiah The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Jurnal Onoma: Pendidikan, Bahasa, dan Sastra JSAI (Journal Scientific and Applied Informatics) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Teknologi Informasi Indonesia Nomos : Jurnal Penelitian Ilmu Hukum Jurnal Gemilang Informatika (GIT)
Citra Yustitya Gobel
Universitas Ichsan Gorontalo
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

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Journal : KLIK: Kajian Ilmiah Informatika dan Komputer

 1 
Analisis Penerapan Logika Fuzzy Pada Sistem Diagnosis Infeksi Saluran Pernapasan Akut Berbasis Android Ifriandi Labolo; Citra Yustitya Gobel; Satriadi Ali; Muhammad Isla; Ridwan Y Kulu
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2014

Abstract

Acute respiratory tract infection is a health problem that often occurs and requires a fast and accurate diagnosis to prevent further complications. The high incidence of ARI raises the need for a more accurate and faster diagnosis system. This research aims to analyze the application of fuzzy logic in an expert system so that it can diagnose acute respiratory infections (ARI) in Android-based applications. This expert system uses a fuzzy logic method to handle uncertainty and variability in the symptoms experienced by patients. The method used in this research involves collecting symptom data from patients, which is then processed using fuzzy rules to produce a diagnosis. This system is designed to provide easy access for users via Android devices by facilitating users in entering the symptoms experienced by the patient and providing an initial diagnosis along with the level of confidence in each diagnosis given so that the patient can carry out an initial examination independently before consulting with professional medical personnel. The research results show that the application of fuzzy logic to this expert system is able to provide fairly accurate diagnosis results, seen from the Deviation results. Patients suffering from mild acute respiratory infections with a final score of 4,804. Apart from that, this system also received a positive response from users because of its ease and speed in use. This research concludes that fuzzy logic is effectively applied to expert systems for the diagnosis of respiratory tract infections and has the potential to be further developed to improve health services in the community.
Penerapan Metode Analytical Hierarchy Process Untuk Seleksi Usaha Penangkapan Ikan Komoditas Unggulan Husain, Hariati; Citra Yustitya Gobel; Misrawati Aprilyana Puspa
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2032

Abstract

The superior commodity fishing business assistance program is one of the Maritime Affairs and Fisheries Service programs aimed at fishermen in the Gorontalo area. Gorontalo Province has abundant marine resources, the fisheries sector plays a vital role in the regional economy and community welfare. However, fishing businesses often face various challenges, such as fish stock fluctuations, climate change, overfishing, and environmental impacts. Therefore, selecting superior commodities in the fishing business is crucial to ensure the sustainability of marine resources and optimal economic benefits. This research aims to apply the Analytical Hierarchy Process Method in selecting superior commodity fishing businesses in Indonesia. By identifying and evaluating various relevant criteria, it is hoped that this research can provide appropriate and sustainable recommendations for stakeholders in the fisheries sector. The results of testing the application of the AHP method in determining the selection of fishermen's fishing business on behalf of the senses with the alternative Fair on the Criteria for Receiving Assistance, the Alternative Good on the Equipment Ownership Criteria, the Alternative Good on the Criteria of Operational Skills and Total Income obtained a calculation result of 0.7648 > the Size Value namely 0.60, with the conclusion that these fishermen can be accepted as recipients of fishing business assistance. Based on the research results, it can be concluded that the application of the Analytical Hierarchy Process (AHP) method for fishing business selection has proven effective in assisting complex decision making involving various criteria and sub-criteria
Co-Authors Abdul Malik Buna Adam, Novita Adrian Djafar Ali, Satriadi D Dewi Cahyani Mayang Deya Riski Haluti Dunggio, Zufriato K. Hariati Husain Ifriandi Labolo Ifriandi Labolo Isla, Muhammad Kamase, Hamka Witri La Ardi Achmad Basir Marlin Lasena Misrawati Aprilyana Puspa Muhammad Isla Muhammad Isla Rahmawati, Rahmawati Ridwan Y Kulu Salma P Nua Salma P. Nua Santawal Santawal Santawali Santawali Santawali Santawali Santawali Santawali, Santawali Satiadi D Ali Satriadi Ali Sennung, Bahtiar Utiarahman, Siti Andini Wahab, Rahmawalta Zahrannisa, Adea Zufrianto Dunggio Zufriato K. Dunggio