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All Journal Inovasi Pendidikan Fisika Journal of Computer Science and Information Systems (JCoInS) Journal Collabits
ANTIKA, DEWI
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Computer Science & IT Education Engineering Physics

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PENERAPAN PEMBELAJARAN BERBASIS LABORATORIUM MENGGUNAKAN PENDEKATAN CONTEXTUAL TEACHING AND LEARNING (CTL) UNTUK MENINGKATKAN HASIL BELAJAR SISWA SMA MUHAMMADIYAH 1 GRESIK ANTIKA, DEWI
Inovasi Pendidikan Fisika Vol 5, No 3 (2016): Vol. 5 No. 3 Tahun 2016
Publisher : Inovasi Pendidikan Fisika

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Abstract

Penelitian ini bertujuan untuk mengetahui peningkatan hasil belajar siswa setelah diterapkannya model pembelajaran berbasis laboratorium dengan pendekatan Contextual Teaching and Learning pada materi kalor dan perubahan wujud zat di SMA Muhammadiyah 1 Gresik. Rancangan penelitian menggunakan pre experimental design dengan bentuk ”One Group Pretest-Posttest Design”. Sasaran penelitian ini adalah kelas X MIA 1 dan X MIA 4 SMA Muhammadiyah 1 Gresik pada semester II tahun ajaran 2015/2016 yang setiap kelas berjumlah 38 siswa. Identifikasi peningkatan hasil belajar siswa dilakukan menggunakan hasil pre-test dan post-test dengan uji t. Analisis data penelitian menunjukkan peningkatan hasil belajar siswa signifikan pada kedua kelas. Didapatkan hasil bahwa peningkatan tertinggi pada kedua dalam kategori tinggi, dengan nilai <g> pada kelas X MIA 1 adalah 0.78821 kemudian disusul kelas X MIA 4 adalah 0.74095. Keterlaksanaan pembelajaran berbasis laboratorium menggunakan pendekatan Contextual Teaching and Learning (CTL) memperoleh nilai rata-rata dengan kategori sangat baik. Kata kunci : Pembelajaran Berbasis Laboratorium, Pendekatan Contextual Teaching and Learning                       (CTL), hasil belajar siswa   Abstract This research had purpose to know students learning achievement after being applied laboratory-based learning model with Contextual Teaching and Learning approach on Heat and Phase Transformation in SMA Muhammadiyah 1 Gresik. Research that has beeb conducted uses pre experimental design in the form “One Group Pretest-postest Design”. Subject of research is X MIA 1 and X MIA 4 clasess of SMA Muhammadiyah 1 Gresik in the school year of 2015/2016 semester 2 where each class has 38 students. Identification of enhancement of students learning outcomes is conducted using pre-test and post-test result with t-test. The final result show that bothclass experience significant enchacement on students learning outcomes. These enchancement on two class are categorized as high category, with the value <g> on X MIA 1 class, 0.78821 and followed by X MIA 4 class, 0.74095. Finally, laboratory-based learning using Contextual Teaching and Learning approach gets average value that categorized as very good. Keywords : students learning achievement, laboratory-based learning, Contextual Teaching and                     Learning approach pre experimental design
Penerapan Data mining Klasifikasi Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Akademik Menggunakan Metode Naïve Bayes Dan Support Vector Machine (Studi Kasus Program Studi Sistem Informasi Universitas Labuhanbatu) Antika, Dewi; Harahap, Syaiful Zuhri; Ah, Rahma Muti; Juledi, Angga Putra
Journal of Computer Science and Information System(JCoInS) Vol 6, No 3: JCoInS | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i3.7917

Abstract

This study was conducted to classify public satisfaction levels using the Support Vector Machine (SVM) algorithm as the primary data analysis method. The objective of this study was to obtain an accurate and reliable prediction model for determining the Satisfaction and Dissatisfaction categories based on the available data. The theoretical basis used refers to the concept of machine learning, specifically SVM, which works by forming an optimal hyperplane to separate data classes. In addition, model evaluation theories such as the Confusion Matrix were used to objectively measure prediction performance. The research methodology included data collection, pre-processing, dividing the dataset into training and test data, and training the SVM model. Evaluation was conducted using accuracy, sensitivity, and specificity metrics to assess the model's ability to predict data accurately. The results and discussion indicate that the SVM successfully classified the majority of data correctly, with the Satisfaction class having a perfect prediction rate while the Dissatisfaction class still had a small error. Further analysis indicated the need for SVM parameter optimization to improve accuracy in the minority class. The conclusion of this study states that the SVM has good performance in classifying public satisfaction data, although it still requires refinement in recognizing certain class patterns. This finding opens up opportunities for developing more adaptive methods to improve predictive performance.
Prototype of IoT-Based Administrative Service Visitor Counting Device in Cimone Jaya Village Maryana, Dwi; Haryani, Vera Dwi; Firmansyah, Ilham Eka; Antika, Dewi
Journal Collabits Vol 2, No 1 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v2i1.32611

Abstract

Cimone Jaya Village is one of the government agencies tasked with providing services to the community for making correspondence. Every day many people come to the village to get correspondence services. Because of the large number of people who come to the village, the village wants to know the number of visitors who come to the village every day to get services because currently the village does not care how many people come to the village to get services so that the village does not know how many people visit the village to get services. This study created a visitor counting tool using an Arduino microcontroller, RFID Reader, RFID card and LCD (Liquid Crystal Display). This tool was created to find out the visitor counting system for administrative services in Cimone Jaya Village, to make it easier for the agency in recording administrative service calculations, to create accuracy in the method of calculating administrative services.
Co-Authors Ah, Rahma Muti Firmansyah, Ilham Eka Haryani, Vera Dwi Juledi, Angga Putra Maryana, Dwi Syaiful Zuhri Harahap