Jurnal SINTA 2
Identifikasi Jenis Attention Deficit Hyperactivity Disorder (ADHD) Pada Anak Usia Dini Menggunakan Metode Neighbor Weighted K-Nearest Neighbor (NWKNN)
Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 3 No. 3 (2016) · pp. 193–200
- ISSN
- 2528-6579, 2355-7699
- Published
- 2016-09-08
- Publisher
- Fakultas Ilmu Komputer, Universitas Brawijaya
- Language
- en
Abstract
AbstrakFase pertumbuhan dan perkembangan merupakan fase terpenting pada manusia, khususnya pada anak usia dini. Pertumbuhan dan perkembangan pada anak mempengaruhi bagaimana seorang anak tersebut ketika mencapai dewasa baik dari segi mental, fisik, maupun kecerdasaannya. Tentunya tidak semua anak mengalami perkembangan yang normal, bisa saja ada yang mengalami gangguan perkembangan. Salah satu gangguan perkembangan yang sering dialami pada anak usia dini adalah ADHD (Attention Deficit Hyperactivity Disorder). Untuk ADHD sendiri terdapat tiga jenis yaitu Inattention, Impulsif, dan Hyperactivity. Pada penelitian ini akan dilakukan identifikasi jenis ADHD berdasarkan gejala yang muncul menggunakan metode klasifikasi Neighbor Weigted K-Nearest Neighbor (NWKNN). Metode NWKNN merupakan metode perkembangan dari metode KNN, yang membedakan adalah pada NWKNN terdapat proses pembobotan terhadap setiap jenis yang akan di klasifikasikan. Pada penelitian ini akan dilakukan identifikasi jenis yang terdiri atas 4 jenis meliputi Inattention, Impulsif, Hyperactivity, dan Tidak ADHD. Hasil dari penelitian ini menunjukkan bahwa metode NWKNN dapat melakukan identifikasi jenis ADHD dengan baik ketika data latih yang digunakan sebanyak 80 data dengan data uji sebanyak 20 data, nilai K=10, dan nilai E=4 dengan hasil akurasinya mencapai 95%. Pada penelitian ini juga membuktikan bahwa metode NWKNN memiliki rata-rata akurasi 2% lebih baik dibandingkan metode KNN dalam melakukan identifikasi jenis ADHDKata Kunci: Perkembangan, Anak Usia Dini, ADHD, dan Metode NWKNNAbstractGrowth and development are the most important fase for human, especially for early age children. Growth and development indeed give an influence on how the child in mentalism, physical and shrewdness aspect when they are getting older. Not every children has a normal development, some of them can have development disruption. One of development disruptions that happen often for early age children is ADHD (Attention Deficit Hyperactivity Disorder). For ADHD, it has three kinds, which are inattention, impulsif and hyperactivity. In this research, the researcher will detect the kind of ADHD based on symptom arise using Neighbor Weigted K-Nearest Neighbor (NWKNN) method. NWKNN method is one of development methods from KNN method, the different is on NWKNN there is integrity process on every kind which being classified. In this research, there will be done some identification kind which consist of 4 kinds, Inattention, Implusif, Hyperactivity and not ADHD. The result of this research shows that NWKNN method able to done the ADHD identification well when data consist of 80 data training, 20 data testing, K score=10, and E score=4 with accuracy result that reach 95%. In this research also prove that NWKNN method have an accuracy of 2% better than KNN method to detect kind of ADHD.Keywords: Development, Early Age Children, ADHD, and NWKNN Method
Collaboration network of the authors
30 authors · 46 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Brawijaya
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Nanang Yudi Setiawan | University of Brawijaya | 2 |
| Marji . | University of Brawijaya | 1 |
| Lailil Muflikhah | University of Brawijaya | 1 |
| Achmad Ridok | University of Brawijaya | 1 |
| Zikfikri Yulfiandi Rachmad | University of Brawijaya | 1 |
| Achmad Arwan | University of Brawijaya | 1 |
| Mahendra Data | University of Brawijaya | 1 |
| Ibnu Aqli | University of Brawijaya | 1 |
| Suherni Prahesti | University of Brawijaya | 1 |
| Heru Nurwasito | University of Brawijaya | 1 |
| Sutrisno Sutrisno | University of Brawijaya | 1 |
| Rozaq Akbar | University of Brawijaya | 1 |
| Alland Rifqy Putra | Affiliation unknown | 1 |
| Alland Rifqy Putra | University of Brawijaya | 1 |
| Muhammad Fariz Firdaus | University of Brawijaya | 1 |
| Dinar Fairus Salsabillah | University of Brawijaya | 1 |
| Rizal Setya Perdana | University of Brawijaya | 1 |
| Anshar Zulhilmi | University of Brawijaya | 1 |
| Bayu Rahayudi | University of Brawijaya | 1 |
| Tsania Dzulkarnain | University of Brawijaya | 1 |
| Satrio Hadi Wijoyo | University of Brawijaya | 1 |
| Eka Bayu Satriawan | Affiliation unknown | 1 |
| Eka Bayu Satriawan | Affiliation unknown | 1 |
| Raihan Winurputra | Affiliation unknown | 1 |
| Raihan Winurputra | University of Brawijaya | 1 |
| Muh. Arif Rahman | University of Brawijaya | 1 |
| Matyus Garbela Ismanto | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.