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All Journal Jurnal TIMES INFOKUM Jurnal Info Sains : Informatika dan Sains Jurnal Armada Informatika
Reza Alamsyah
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Computer Science & IT Control & Systems Engineering

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Klasifikasi Jenis Sampah Dengan Metode Gray Level Co-Occurrence Matrix (GLCM) Dan Support Vector Machine (SVM) Reza Alamsyah; Irwan Jani Tarigan; Riandy Yap
Jurnal Armada Informatika Vol 2 No 1 (2018): Jurnal Armada Informatika : Edisi Juni
Publisher : STMIK Methodist Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36520/jai.v7i2.85

Abstract

Sampah yang tidak dikelola dengan baik dapat menimbulkan berbagai kerugian seperti menyebabkan banjir hingga menjadi ancaman meningkatnya berbagai penyakit. Penelitian ini menggunakan dataset sampah yang diambil dari https://www.kaggle.com/asdasdasasdas/garbage-classification, untuk proses klasifikasi diperlukan proses training citra terlebih dahulu dengan tahapan akuisisi citra datri intensitas warna RGB ke grayscale. Dalam penelitian ini tahapan training dan pengujian sistem dilakukan sebanyak dua tahapan. antara lain : pengujian I, pada tahap ini setelah melalui proses pelatihan dataset berjumlah 60 citra, maka dilakukan tahapan pengujian sebanyak 60 citra sampah dengan tingkat akurasi sistem sebesar 68%. Pengujian II, pada tahap ini setelah melalui proses pelatihan dataset berjumlah 600 citra, maka dilakukan tahapan pengujian sebanyak 600 citra sampah dengan tingkat akurasi sistem sebesar 83%.
Facial Recognition Using The Haar Cascade Classifier Method For Smart Absence Reza Alamsyah; Indra Sidabutar
Jurnal Info Sains : Informatika dan Sains Vol. 11 No. 1 (2021): March, Informatics and Science
Publisher : SEAN Institute

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Abstract

The Processing student attendance data at STMIK Methodist Binjai plays an important role in implementing teaching and learning activities. The STMIK Methodist Binjai attendance system still uses stationery which is less efficient, thus affecting learning productivity. Therefore, a solution is needed to help with attendance problems so that attendance can be run efficiently and with fast computing. Namely by using Face Recognition technology for Smart Attendance using the haar cascade method in OpenCV. The results of the developed application can recognize faces with an accuracy rate of 81%. And users also manage data in the system and recording attendance data is stored in excel files
Analysis Of Consumer Purchasing Patterns At Giant Atk Store Using The Apriori Method Reza Alamsyah; Indra Sidabutar
Jurnal Info Sains : Informatika dan Sains Vol. 12 No. 02 (2022): Informatics and Science, September 2022
Publisher : SEAN Institute

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Abstract

Data on purchases by consumers in storage will continue to grow. So the sales application at the Atk Gyant shop is less effective. Meanwhile, in the sales transaction data, there is valuable information such as knowing a trend or pattern carried out by consumers. Data Mining has several characteristics and functions. The characteristic of data mining which aims to find tendencies in combination patterns is to use the Apriori method. The Apriori method can be applied to analyze purchasing patterns by Atk Gyant store consumers with the results of 10 patterns, namely the highest support value for 1 item is 40%, 2 items is 26% and 3 items is 19%.
Co-Authors Alasi, Tomi Satria Giovanni Bangun Indra Sidabutar Irwan Jani Tarigan Mhd. Dicky Syahputra Lubis Muhammad Dicky Syahputra Lubis Priandy Yaputra Suhendri Nasution Tongam E Panggabean Tongam E. Panggabean Tongan Evi Panggabean Vera Wijaya