Binuryan, Podang
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Analisis Tingkat Pemahaman Belajar Matematika Siswa Sekolah Luar Biasa (SLB) Berdasarkan Tinjauan Neuroscience Nugroho, Alexander Febrian; Binuryan, Podang; Rudhito, Marcellinus Andy
Supermat : Jurnal Pendidikan Matematika Vol 8 No 1 (2024): Supermat : Jurnal Pendidikan Matematika
Publisher : Program Studi Pendidikan Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33627/sm.v8i1.1548

Abstract

This problem began with researchers' curiosity regarding the level of understanding of mathematics learning among mentally retarded students at SLB Marganingsih in terms of neuroscience. The aim of this research is to find out how mentally retarded students at SLB Marganingsih use a neuroscience approach. The type of research used in this research is a qualitative research method. Qualitative research methods will be used in this research to understand the experiences, perceptions, and understanding of SLB students in depth. This research was carried out at SLB Marganingsih, with the research subjects being six students in a class with intellectual disabilities. The variable in this research is the level of understanding of students in classes with intellectual disabilities at SLB Marganingsih in learning mathematics. The results of observational research on six children (NM, WN, AN, AR, AL, and ST), taking into account seven neuroscientific aspect factors, showed significant differences. The processing of mathematical information is different for each child, such as good mathematical understanding in NM, difficulty applying it in WN, and the need for a cheerful approach in AN. Brain limitations also play a role, such as limited memory in the left brain of WN, passive tendencies and difficulty adapting in AR, and childish characteristics in ST. Parental and teacher assistance, a learning environment, and various interactive learning methods are essential. Types of brain plasticity that continue to develop, as well as different IQ groups
Analisis Komparasi Metode Gaussian Naïve Bayes dan Bernoulli Naïve Bayes dalam Klasifikasi Pemilihan Program Peminatan Siswa SMA Binuryan, Podang; Satianingsih, Ni Made; Murwaningtyas, Chatarina Enny
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 11, No 2 (2025): Volume 11 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v11i2.89583

Abstract

Penerapan Kurikulum Merdeka memberikan fleksibilitas kepada siswa dalam memilih program peminatan sesuai minat, bakat, dan kemampuan, namun menimbulkan tantangan dalam pemberian arahan yang tepat. Penelitian ini bertujuan membandingkan performa Gaussian Naïve Bayes dan Bernoulli Naïve Bayes dalam merekomendasikan program peminatan siswa di SMAS Katolik Santo Yoseph Denpasar. Model klasifikasi dibangun berdasarkan parameter seperti nilai akademik, jenis kelamin, preferensi pribadi, rencana jurusan, dan pengaruh orang tua. Dataset terdiri dari 449 baris data yang mencakup variabel numerik dan kategorikal, dengan variabel target berupa kelas terpilih (program peminatan siswa). Gaussian Naïve Bayes digunakan untuk data numerik, sementara Bernoulli Naïve Bayes diterapkan pada data yang telah dibinerisasi. Hasil studi menunjukkan bahwa Gaussian Naïve Bayes menghasilkan akurasi tertinggi (99%) untuk data numerik, tetapi performanya menurun saat ditambahkan variabel kategorikal. Sebaliknya, Bernoulli Naïve Bayes menunjukkan kinerja lebih stabil dengan akurasi 97%. Analisis learning curve menunjukkan bahwa kedua model memiliki kemampuan generalisasi yang baik, dengan Bernoulli lebih adaptif terhadap atribut biner. Penelitian ini menegaskan pentingnya pemilihan model yang sesuai dengan karakteristik data untuk mendukung pengambilan keputusan berbasis data di lingkungan pendidikan.