Expert System in Identifying Interest Markers of Extracurricular Characteristics Based on Case Based Reasoning

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Sisi Hendriani
Gunadi Widi Nurcahyo
Y Yuhandri

Abstract

Extracurricular is an additional activity at school whose purpose is to help develop students' talents, talent is defined as an innate ability which is a potential that needs to be developed and trained. Extracurricular selection is chosen by the students themselves without the intervention of teachers or parents so that students often only follow the majority of their friends' wishes. Knowing the extracurricular characteristics of students through the type of learning will make students' self-development more focused. This study uses the Case Based Reasoning method with similarity calculations which has 4 stages, namely retrieve (rediscover old similar cases), reuse (make old cases as solutions to new cases), revise (evaluate proposed solutions) and retain (store new cases). on a case basis) to determine the type of learning of students which will then be known to be suitable extracurricular activities due to the condition of the psychological development of children during the junior high school (SMP) level who tend to make the wrong choice or just participate in choosing something, especially in terms of selection. extracurricular at school. The learning styles are classified into six learning styles, namely Linguistic, Kinesthetic, Interpersonal, Musical, Naturalist and Logical Mathematics which are then adapted to the extracurricular fields at school. This study identifies the characteristics of student interest using student data at SMP Negeri 17 Padang, the results of similarity 66% for interpersonal learning style, 0% for kinesthetic learning style, 6% for musical learning style, 14% for natural learning style, 0% for logical mathematics learning style and 13% for linguistic learning style. The resulting expert system can help students quickly provide an appropriate extracurricular overview.

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How to Cite
Hendriani, S., Nurcahyo, G. W., & Yuhandri, Y. (2021). Expert System in Identifying Interest Markers of Extracurricular Characteristics Based on Case Based Reasoning. Jurnal Informasi Dan Teknologi, 3(4), 209-214. https://doi.org/10.37034/jidt.v3i4.154
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References

[1] Irawan, Y., Herianto, & Simamora, S. O. (2019). Sistem Pendukung Keputusan untuk Menentukan Kegiatan Ekstrakurikuler Berdasarkan Bakat dan Minat Menggunakan Metode SAW (Simple Additive Weighting). JTIM : Jurnal Teknologi Informasi Dan Multimedia, 1(3), 198–205. doi:10.35746/jtim.v1i3.37
[2] Fitriyah Ningsih, Y., Hariadi, N., & Puspitaningrum, D. A. (2019). Hubungan Antara Minat dan Bakat Mahasiswa Universitas Jember Kampus Bondowoso Terhadap Fasilitas Olahraga. Jurnal Porkes, 2(2), 73–76. doi:10.29408/porkes.v2i2.1643
[3] Yulianti, W. Y., Liza Trisnawati, & Theresia Manullang. (2019). Sistem Pakar Dengan Metode Certainty Factor Dalam Penentuan Gaya Belajar Anak Usia Remaja. Digital Zone: Jurnal Teknologi Informasi Dan Komunikasi, 10(2), 120–130. doi:10.31849/digitalzone.v10i2.2781
[4] Made Hanindia Prami Swari, Rahel Widya Arianti, & Faisal Muttaqin. (2020). Case-Based Reasoning Pemberian Rekomendasi Profesi Berdasarkan Minat dan Bakat Siswa Menggunakan Simple Matching Coefficient Similarity. Sintech (Science and Information Technology) Journal, 3(1), 35–45. doi:10.31598/sintechjournal.v3i1.505
[5] Aldo, D., Samosir, K., & Nengsih, Y. G. (2021). Sistem Pakar Memilih Tipe Belajar Anak Retardasi Mental Menggunakan Metode Case Based Reasoning. JSAI (Journal Scientific and Applied Informatics), 4(1), 95–105. doi:10.36085/jsai.v4i1.1332
[6] Maiyendra, N. A. (2018). Perancangan Sistem Pakar Mendiagnosa Penyakit Kulit Pada Anak Dengan Menggunakan Metode Backward Chaining. Jursima, 6(2), 6. doi:10.47024/js.v6i2.120
[7] Julita, R. (2018). Sistem Pakar Pemilihan Menu Makanan Berdasarkan Penyakit Dan Golongan Darah. Pseudocode, 5(1), 56–67. doi:10.33369/pseudocode.5.1.56-67
[8] Lesmana, L. S. (2018). Sistem Pakar Backward Chaining Untuk Pemilihan Alat Kontrasepsi Yang Cocok Berbasis Android. Edik Informatika, 4(1), 10–22. doi:10.22202/ei.2017.v4i1.2533
[9] Saraswati, A. R., Saintika, Y., Thohari, A. N. A., & Iskandar, A. R. (2020). Sistem Pakar Diagnosis Penyakit Ikan Gurami (Osphronemus Goramy) Menggunakan Case Based Reasoning. Jurnal Teknologi Informasi Dan Ilmu Komputer, 7(4), 779. doi:10.25126/jtiik.2020701953
[10] Anthony Jnr, B. (2020). A Case-Based Reasoning Recommender System For Sustainable Smart City Development. AI & SOCIETY, 36(1), 159–183. doi:10.1007/s00146-020-00984-2
[11] Birihanu Belachew, E., & Kefie Tamiru, H. (2019). Chronic Kidney Disease Diagnosis Model Based on Case Based Reasoning. International Journal of Engineering and Advanced Technology (IJEAT), 9(2), 2738–2743. doi:10.35940/ijeat.b3624.129219
[12] Majeed, R. F., AB. M. Saeed, S., Abdulmajeed Abdilkarim, D., & Mohammed Sidqi, H. (2020). Skin Tumors Diagnosis Utilizing Case Based Reasoning and The Expert System. Kurdistan Journal of Applied Research, 5(1), 96–114. doi:10.24017/science.2020.1.10
[13] Habibie, D. R. (2019). Analisa Sistem Pakar Diagnosis Awal Penyakit Amebiasis Dengan Metode Case Based Reasoning. Jursima, 7(2), 70. doi:10.47024/js.v7i2.181
[14] Zhai, Martínez Ortega, Beltran, & Lucas Martínez. (2019). An Associated Representation Method for Defining Agricultural Cases in a Case-Based Reasoning System for Fast Case Retrieval. Sensors, 19(23), 5118. doi:10.3390/s19235118
[15] Wang, Z. (2019). Case Reasoning Based Design System for Product Packaging. Journal of Physics: Conference Series, 1237, 032004. doi:10.1088/1742-6596/1237/3/032004
[16] Arifa, A. B., & Fitriana, G. F. (2020). Diagnosis Penyakit Hipertensi Menggunakan Metode Case-Based Reasoning. IJIS - Indonesian Journal On Information System, 5(1). doi:10.36549/ijis.v5i1.87
[17] Aung, N. L., & Lawanna, A. (2019). A Competence-based Deletion Model for the Improvement of Case-based Maintenance in Case-based Reasoning. Applied Science and Engineering Progress. doi:10.14416/j.asep.2019.06.002
[18] Park, S., Kwon, N., & Ahn, Y. (2019). Forecasting Repair Schedule for Building Components Based on Case-Based Reasoning and Fuzzy-AHP. Sustainability, 11(24), 7181. doi:10.3390/su11247181

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