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All Journal KOMPUTIKA - Jurnal Sistem Komputer Eduproxima : Jurnal Ilmiah Pendidikan IPA
Firman Shantya Budi
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Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Physics

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Implementasi Sistem Penghitung Kendaraan Otomatis Berbasis Computer Vision Dolly Indra; Herman Herman; Firman Shantya Budi
Komputika : Jurnal Sistem Komputer Vol 12 No 1 (2023): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v12i1.9082

Abstract

The development of computer technology today is very helpful for humans in completing their work in various fields. One application of computer technology i.e., in the field of computer vision which has a very important role for object recognition. In this study, we designed a computer vision-based automatic vehicle counting system. The system that we created uses the MobileNetV2 Single Shot Multibox Detector (SSD) which is placed on the Raspberry Pi 4 to carry out the process of classifying cars and motorcycles and the raspberry pi 4 also functions as a system controller. This automatic vehicle counter system has been integrated between Raspberry Pi 4 and a mobile application on a smartphone where the smartphone functions to display information such as day, date, month, year and together with the number of cars and motorcycles. We tested this automatic vehicle counting system on steam services (car and motorcycle washing) for 3 days where 10 vehicles were collected every day. The test results show that the system is capable of detecting cars and motorcyles with an average accuracy rate of 46.6%.
DESKRIPSI PSIKOMOTORIK MAHASISWA PENDIDIKAN KIMIA FKIP UNIVERSITAS TANJUNGPURA PADA PRAKTIKUM PENENTUAN KADAR ASETOSAL SECARA ASIDIMETRI Firman Shantya Budi; Masriani Masriani
EDUPROXIMA : Jurnal Ilmiah Pendidikan IPA Vol 6, No 1 (2024)
Publisher : Universitas Bhinneka PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/.v6i1.5236

Abstract

Tujuan dari penelitian ini adalah untuk mendeskripsikan kemampuan psikomotorik mahasiswa program studi pendidikan kimia FKIP Universitas Tanjungpura mengenai praktikum penentuan kadar asetosal secara asidimetri melalui titrasi asam basa. Metode penelitian yang digunakan adalah deskriptif. Teknik pengumpulan data yang dilakukan dalam penelitian ini berupa lembar observasi dan wawancara berdasarkan data yang diperoleh. Subjek dalam penelitian ini adalah mahasiswa program studi pendidikan kimia sebanyak 16 orang yang ditentukan melalui teknik sampling jenuh. Hasil penelitian menunjukkan persentase kemampuan psikomotorik dengan kategori sangat baik diantaranya mencuci seluruh peralatan gelas, memasang buret dengan klem, menuangkan larutan baku ke dalam buret, menggunakan pipet volume, menambah indikator ke dalam sampel, mengatur mulut buret, dan menghitung kadar analit yang masing-masing sebesar 94%, 100%, 88%, 100%, 81%, 100%, 88%. Kategori baik dengan persentase 69% yaitu pembilasan buret dengan larutan standar dan mengamati volume titran. Kemudian kemampuan menghentikan titrasi saat titik akhir termasuk kategori cukup dengan persentase sebesar 50%. Secara keseluruhan kemampuan psikomotorik mahasiswa termasuk dalam kategori sangat baik dengan persentase rata-rata sebesar 86,69%.
Co-Authors Dolly Indra Herman Herman Masriani .