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Journal : Journal of Computer System and Informatics (JoSYC)

Sistem Pakar Diagnosa Gangguan Tidur pada Anak Menggunakan Naïve Bayes Kurniawan, Bagus Dwi; Akbar, Mutaqin
Journal of Computer System and Informatics (JoSYC) Vol 5 No 4 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i4.5267

Abstract

Humans have a need for sleep that can be said to be very important, especially as children begin to develop. Sleep helps children become smarter, producing hormones that boost energy storage, increase muscle stamina, agility, intelligence, cognitive function, and long-term memory storage are all positively affected by sleep. To identify sleep disorders in children, parents usually need to consult a pediatrician, which can be expensive and time consuming. With an expert system, the system can relieve and help parents in detecting sleep disorders in their children by selecting symptom options in the system, then the system will give the final result of the child's sleep disorder with the highest probability based on the symptoms presented, as well as providing the appropriate solution. This expert system uses the Naïve Bayes method, which is a simple probabilistic classification. This method uses machine learning that relies on probability calculations. The system covers 31 symptoms of child sleep disturbances as well as the types of sleep disorders studied include Sleep Apnea, Insomnia, Narcolepsy, Enuresis, Night Terror, Nightmare, and Sleepwalking. Based on testing with 20 case data from experts, the system achieved a 95% accuracy level. Although there are some expert system results that show two disturbances with one of which corresponds to the result of an expert showing one disturbence, the result is still considered "Suitable".
Sistem Penunjang Keputusan Rekomendasi Pemilihan Baja Ringan Menggunakan Metode Weighted Product (WP) Auditya, Yonathan; Akbar, Mutaqin
Journal of Computer System and Informatics (JoSYC) Vol 5 No 4 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i4.5773

Abstract

The use of light steel in building construction has increased significantly in recent years. Due to its advantages, such as high strength, corrosion resistance, and ease of installation and maintenance. However, the complexity of various types of light steel makes it difficult for ordinary consumers to choose, and even risks falling victim to fraud related to quality, price, weight, and A-Z level. Therefore, an effective decision support system is needed to help determine the quality of light steel according to their desired specifications. This research develops a decision support system using the Weighted Product method, which identifies the best light steel alternative based on the criteria of quality, price, weight, and A-Z level. The data sample used includes five light steel alternatives, namely BUKIT, GECO, SMS, TARIGAN, and TASO. The results of the application of this method show that the light steel type “GECO” was selected as the best alternative with a value of 0.341, making it the main recommendation in this study. With this system, it is hoped that users who are still unfamiliar with the world of the construction industry can make better and more precise decisions in the selection of light steel, there by reducing the risk of errors and potential fraud in the process of selecting light steel.
Co-Authors Adella Maharani, Putri Adrian, Reka Agung Firmansyah Agus Salim Ahsan, Moh An-Naufal Nuha, Alfian Anisyah Jatu Siti Nurjanah Aprisia Bahagia, Grace Arifadillah, Elang Arita Witanti Ascha, Nugrah Pratama Astri Wulandari Audita Nuvriasari Auditya, Yonathan Bagus Dwi Kurniawan, Bagus Dwi Bambang Agus Setyawan Budi Sulistiyo Jati Budi Sulistiyo Jati Budianto, Alexius Endy Dangin, Dangin Dian Kartika Sari, Dian Kartika Diski Ijtima Putri Dwiyati Pujimulyani Elsa Anggraini Maili Ertandi, Fiki Febri Rahmadsyah Firdaus Alfajar Sudarsih Hardiyanto, Andri Hendri Tri Cahya Leksana Ichlasia Ainul Fitri Ikram, Rauf Al Indah Susilawati Jeremias Quintino Tilman Junianto Bagas Prasetyo Kafilahudin, Fahrul Advis Kartadinata, Arifqi Khuzaini*, Nanang Kuswandaru, Kuswandaru Marfianto, Jodhy Dwi Muhammad Abdul Gofur Muhammad Ali Ma'mun Muhammad Pratiwo Muhammad Syadham, Syahrun Muhammad Syaifudin Musa, Rahmat Nafida Hetty Marhaeni Nanang Khuzaini, Nanang Nanik Triatmi Nur Alamsyah Nurdiarti, Rosalia Prismarini Nusantara, Bondan Surya Pascal Munthe, Thimoty Prasetyaningrum, Putri Taqwa Primananda, Muhammad Izra Priyanto Putu Sangyoga, Titus Bintang Pekiek Rahmat Musa Ramos, Sarah Vega Refky Satria Bima Reny Yuniasanti Rio Setya Pambudi Rismanto, Septa Rivansyah Subagyo, Ibnu Riyanto, Agung Rizky, Muhammad Rafi Fajar Rofiqi, Lutfi Rohmad, Arinadi Nur Rosalia Prismarini Nurdiarti Saputra, Aldi Dwi Saputra, Andika Dwi Sari, Prima Wulan Sedyarsa, Hanif Fauzan Septa Rismanto Setyaningsih, Putry Wahyu Sidiq Purnomo, Agus Sri Muhammad Kusumantomo Subhan Bole Boly Supatman Supatman Umul Aiman Wakidi Wakidi Wibowo, Sigit Heri Wisnu Adi Yulianto Wulandari, Astri Yusanto, Yoga