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All Journal CESS (Journal of Computer Engineering, System and Science) INTEGER: Journal of Information Technology ILKOMNIKA: Journal of Computer Science and Applied Informatics International Journal of Artificial Intelligence and Robotics (IJAIR)
Sani, Dian Ahkam
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Journal : INTEGER: Journal of Information Technology

 1 
Implementasi Sistem Pakar Untuk Mendiagnosa Penyakit Pada Perokok Aktif Dan Perokok Pasif Dengan Menggunakan Metode Anfis Safira, Laila; Misdram, Muhammad; Sani, Dian Ahkam
INTEGER: Journal of Information Technology Vol 6, No 1 (2021): Mei
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2021.v6i1.1202

Abstract

Abstract. Cigarettes or cigars are cylinders of paper measuring between 70 and 120 mm long and about 10 mm in diameter containing chopped dried tobacco leaves. A person who inhales cigarette smoke is called a smoker. Smokers are divided into active smokers and passive smokers. An active smoker is someone who regularly consumes the smallest amount of cigarettes even though it's only 1 cigarette a day, and a passive smoker is someone who inhales cigarette smoke from an active smoker. Exposure to secondhand smoke can cause serious illness and death. The dangers of smoking on the health of the body have been researched and proven by many people. Lack of self-care, and lack of knowledge about the dangers of smoking make some people no longer think about their health in the future. Many rule out the bad effects caused by cigarette smoke. This is because these effects are not immediately visible when you first smoke. Many smokers are reluctant to get checked out for various reasons. Therefore, researchers made the implementation of an expert system to diagnose diseases in active smokers and passive smokers using the Anfis method. Anfis is an amalgamation of the system's fuzzy interface mechanism described in a neural network architecture. From the results of the implementation trial, the accuracy of the learning rate was 70% - 90% by including the same symptoms.Keywords: Expert System, Cigarettes, Anfis
Rancang Bangun Mobile Game Adventure Of Studies Sebagai Media Pembelajaran Ramadaniati, Setta; Sani, Dian Ahkam; Arif, Mochammad Firman
INTEGER: Journal of Information Technology Vol 6, No 1 (2021): Mei
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2021.v6i1.1200

Abstract

Dalam   upaya   meningkatkan   efisiensi   penyediaan  aplikasi   yang   mengandung   unsur pendidikan  maka diperlukan  berbagai  alternatif  dan  inovasi  baru  dalam  hal  pemrograman untuk  bisa  diterapkan  sebagai  alat  untuk  mempermudah  proses  pembelajaran.  Dengan adanya  Rancang Bangun Mobile Game Adventure Of Studies sebagai Media Pembelajaran  ini  diharapkan  untuk  meningkatkan  kemampuan  berfikir  anak dalam  proses  belajar,  bahwa  game  ini  sangat  berguna  di  bidang  pendidikan. Penyusun    memilih    anak-anak   dan remaja sebagai    target    pemain, karena    kesulitan    proses pembelajaran secara teoritis yang di ajarkan pada anak-anak dan remaja, mengingat mereka lebih suka bermain. Metode penelitian yang digunakan adalah metode penelitian dan pengembangan (Research and Development) yang menggunakan tahapan penelitian Analisis Kebutuhan, Desain dan Perancangan Game, Pengembangan Game, Implementasi atau Uji Kelayakan Game, Evaluasi Hasil. Pembuatan game dilakukan dengan menggunakan game engine Construct 2. Penerapan  game media pembelajaran   ini   diharapkan   dapat   mengatasi   masalah   tersebut.   Sehingga   di   saat   anak memainkan game ini secara tidak langsung dapat belajar, dengan harapan semangat anak untuk belajar akan lebih terpacu dan meningkatkan kualitas belajar anak.
Klarifikasi Status Penderita Gizi Sunting Pada Balita Menggunakan Metode Random Forest Aprilia, Yunita Nur; Sani, Dian Ahkam; Anggadimas, Nanda Martyan
INTEGER: Journal of Information Technology Vol 9, No 2 (2024): September
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2024.v9i2.6080

Abstract

Stunting in children, as in this case, is characterized by lower-than-average body growth. This is caused by a mismatch between long-term nutrient intake and the body's needs. Possible impacts include delayed cognitive development, impairments in learning ability, as well as an increased risk of metabolic syndrome. To overcome these problems, a structured and data-based system is needed with one of the agreements used, namely the Random Forest Method on the system using stunting nutrition data for toddlers as the basis for the classification process. In developing the system that was built to help track the health of young children, especially stunting by using several indicators to support innovation, provide a classification model for toddlers suffering from stunting nutrition, and measure and evaluate the performance results of the Random Forest Method against the data variables used. From this study, it can be shown that the results of this study are that this system has successfully made a classification model and is very effective in measuring and evaluating the performance results of the Random Forest Method in the Status Classification of Stunting Nutritional Patients in Toddlers by using a dataset of 300 data so that it produces an average accuracy of 81%, an average result of 76%, an average recall result of 69%, and the average F1 score result is 72%.
Co-Authors Anggadimas, Nanda Martyan Aprilia, Yunita Nur Fijriyah, Immilda Lailatul Maulana, Muhamad Filla Akbar Misdram, Muhammad Mochammad Firman Arif Mohammad Zoqi Sarwani, Mohammad Zoqi Putri, Della Seviana Ramadaniati, Setta Safira, Laila Salafudin, Muhammad Shubkhan Setiawan, Muhamad Agus Suharyadi, Heri Udin, Muhammad