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All Journal Jurnal Teknologi Terpadu Jurnal Informasi dan Teknologi Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Journal of Computer Networks, Architecture and High Performance Computing Djtechno: Jurnal Teknologi Informasi Jurnal Masyarakat Indonesia Jurnal Pustaka Robot Sister
Tar Muhammad Raja Gunung
Informatika, Universitas Satya Terra Bhinneka, Medan, Indonesia,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mathematics Mechanical Engineering

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Identification of Nervosa Disease using Case-Based Reasoning Gunung, Tar Muhammad Raja; Suri, Riko Muhammad; Purnomo, Nopi; Idaman, Akbar; Muis, Abdul
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3227

Abstract

Among teenagers or adults, body shape greatly affects a person's confidence. Most people will be very confident if their body shape is ideal, where the person will be very confident speaking in public. Different things with people who have a body shape that is too thin/fat, so their confidence is less to appear in public. To get the ideal body shape they will do everything possible, one of which is dieting, taking weight loss capsules, and so on. They do not know the dangers of dieting too strictly and taking weight loss capsules carelessly which can make them contract Nervosa disease. To get the results of the expert system, the case-based reasoning method will be used. After this application is built, the result obtained is the type of nervosa disease based on the symptoms felt by the user.
SISTEM PAKAR PEMILIHAN SMARTPHONE BERDASARKAN KEBUTUHAN DAN PREFERENSI USER MENGGUNAKAN METODE CASE BASED REASONING Gunung, Tar Muhammad Raja; Egani Sitepu, Sengli; Pandapotan Siregar, Manutur; Muis, Abdul; Rolanda, Vicky
Djtechno: Jurnal Teknologi Informasi Vol 6, No 2 (2025): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i2.7167

Abstract

Pemilihan smartphone yang sesuai dengan kebutuhan pengguna sering kali menjadi permasalahan tersendiri, terutama karena banyaknya pilihan produk dengan spesifikasi yang bervariasi. Penelitian ini bertujuan untuk menerapkan metode Case Based Reasoning (CBR) dalam proses rekomendasi smartphone berdasarkan preferensi pengguna. CBR bekerja dengan membandingkan kasus baru, yaitu kebutuhan dan kriteria pengguna, dengan kasus-kasus sebelumnya yang telah tersimpan dalam basis data untuk menentukan tingkat kemiripan. Pada penelitian ini, digunakan empat tahapan utama dalam metode CBR yaitu: Retrieve, Reuse, Revise, dan Retain.Hasil pengujian menunjukkan bahwa dari 13 alternatif smartphone yang dianalisis, Xiaomi Poco X5 Pro mendapatkan nilai kemiripan sebesar 100%, sedangkan perangkat lainnya seperti Realme Narzo 60x, Infinix Smart 8, Vivo V27, Samsung Galaxy A54, dan lainnya memperoleh nilai kemiripan 0%. Hal ini menunjukkan bahwa Xiaomi Poco X5 Pro merupakan pilihan paling sesuai dengan kebutuhan pengguna dalam studi kasus ini. Dengan demikian, metode CBR terbukti mampu memberikan rekomendasi yang tepat dan terukur, serta dapat menjadi dasar pengembangan sistem pakar atau sistem pendukung keputusan di masa mendatang.
Co-Authors Abdul Muis Abdul Muis Abwabul Jinan Agung Prabowo Akbar Idaman Amrullah Egani Sitepu, Sengli Eldo, Handry Fadil Aulia Rahman Guslia Sari Nasution Hamjah Arahman Handry Eldo Harahap, Ali Hamdani Harahap, Munawir Sajali Iriene Putri Mulyadi Januardi Rosyidi Lubis, Juwita Siregar, Emmi Lubis, Mustopa Husein Lubis, Siti Sahara Manutur Siregar Pandapotan Siregar, Manutur Purnomo, Nopi Riko Muhammad Suri Rolanda, Vicky Simanjuntak, Peter Jaya Negara Siti Sarah Harahap Suri, Riko Muhammad