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All Journal Celebes Engineering Journal Celebes Computer Science Journal Jurnal J-PEMAS
Andi Yulia Muniar
STMIK AKBA
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Journal : Celebes Engineering Journal

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Klasifikasi Tanaman Jeruk Berdasarkan Fitur Tekstur Daun Menggunakan Metode K-Nearest Neighbor Andi Yulia Muniar
Celebes Engineering Journal Vol 1 No 2 (2019): Celebes Engineering Journal
Publisher : Celebes Engineering Journal

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Abstract

The classification system built is a system that aims to facilitate the process of recognizing or introducing citrus plants with various characteristics or features found in citrus leaves. The process is carried out by taking pictures of orange leaves and then using k-Nearest Neighbor (KNN) with Euclidean distance calculations based on leaf features so as to produce conclusions from the type of citrus plant. Image data taken are samples of grapefruit leaves, lime and kaffir lime leaves. The highest accuracy result is obtained at parameter k=1 which is 81.48%.
Penerapan Metode Fuzzy Mamdani Dalam Menentukan Kelayakan Operasional Bus Andi Yulia Muniar
Celebes Engineering Journal Vol 3 No 1 (2021): Celebes Engineering Journal
Publisher : Celebes Engineering Journal

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Abstract

Today we meet many companies that provide transportation services, one of which is a bus. Buses are widely used by the community as a means of transportation in traveling long distances even between islands. However, many traffic accidents involving buses occur due to errors in the vehicle factor. Damage to bus parts is not paid attention to, so there is a risk of traffic accidents. Therefore, a system is needed to determine the operational feasibility of the bus by applying the MAMDANI Fuzzy method. The MAMDANI Fuzzy method can define values between conventional states such as yes or no, true or false, black or white, feasible or not feasible and so on. So this method will be very helpful in solving the problem of determining the feasibility of bus operations.
Ekstraksi Fitur Citra Tanda Nomor Kendaraan Bermotor Dengan Metode Moment Invariant Andi Yulia Muniar
Celebes Engineering Journal Vol 2 No 1 (2020): Celebes Engineering Journal
Publisher : Celebes Engineering Journal

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Abstract

Every country has a different feature of vehicle license plate, it is a challenge to extract the feature of vehicle license plate which is needed an accurate method to extract the features of vehicle license plate. The aims of the study were to implement and find the level of accuracy feature extraction of license plate using moment invariant. The data was obtained through Library Research. The method used in this research was Moment Invariant used for the process of the feature extract and Euclidean. The result of the study indicated that the test result obtained the total of the accuracy level was 78,43%. The best accuracy level was 90% obtained from level of accuracy obtained from the testing based on the the distance, the smallest accuracy level was 43,75% obtained from the testing based on images skewness and the nonstandard characters. The dark images obtained the accuracy level 50%.
Co-Authors Asrul Mashud, Mashud Muhajirin, Muhajirin Ramlah P Suryadi Syamsu