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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Faridah Faridah
Universitas Gadjah Mada
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Coffee Bean Grade Determination Based on Image Parameter Faridah Faridah; Gea O. F. Parikesit; Ferdiansjah Ferdiansjah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 9, No 3: December 2011
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v9i3.747

Abstract

Quality standard for coffee as an agriculture commodity in Indonesia uses defect system which is regulated in Standar Nasional Indonesia (SNI) for coffee bean, No: 01-2907-1999. In the Defect System standard, coffee bean is classified into six grades, from grade I to grade VI depending on the number of defect found in the coffee bean. Accuracy of this method heavily depends on the experience and the expertise of the human operators. The objective of the research is to develop a system to determine the coffee bean grading based on SNI No: 01-2907-1999. A visual sensor, a webcam connected to a computer, was used for image acquisition of coffee bean image samples, which were placed under uniform illumination of 414.5+2.9 lux. The computer performs feature extraction from parameters of coffee bean image samples in the term of texture (energy, entropy, contrast, homogeneity) and color (R mean, G mean, and B mean) and determines the grade of coffee bean based on the image parameters by implementing neural network algorithm. The accuracy of system testing for the coffee beans of grade I, II, III, IVA, IVB, V, and VI have the value of 100, 80, 60, 40, 100, 40, and 100%, respectively.
Desain Sistem Pemantau Konsumsi Energi untuk Rusunawa di Indonesia Yakub Fahim Luckyarno; Sentagi Sesotya Utami; Faridah Faridah; Ressy Jaya Yanti
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1408.926 KB)

Abstract

Electricity consumption in the household sector is classified into two categories based on the economic class of the household. The first category is the low class, in which the greatest electricity consumption (approximately 20.00%) is used for lighting. The second category is the medium and high class, in which the greatest electricity consumption (approximately 20.00-32.00%) occurs for powering the air conditioning (AC) system. To date, vertical type housing can be commonly found in the medium class, and as of 2017, the level of occupation has reached 9.52%. This condition calls for an analysis on the energy consumption and energy efficiency of the buildings. Case found in a low-cost apartment building, also known as Rumah Susun Sederhana Sewa (Rusunawa) in Yogyakarta, Indonesia, is one example where an energy monitoring system is needed. This is due to the inhabitants' habit of electrical usage that is unsuitable to the Rusunawa's function, such as their inefficient use of AC and washing machines. The energy meter system measures the electrical voltage and current of electrical appliances that are attached to the system. This system utilizes a ZMPT101B-5 sensor to measure the voltage and an ACS712 sensor to measure the elctrical current. The design of the energy meter system enables one to measure the voltage and current of electrical appliances with a 4.40% margin of error. Based on the measurements obtained in this paper, the AC is the greatest source of power consumption, with an approximate value of 800 kWh.
Penerapan Metode Proyeksi Citra pada Citra Kamera 360 Derajat untuk Mengukur UGR Abiyyu Fathin Derian; Faridah Faridah; Rizki Armanto Mangkuto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 3: Agustus 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1122.891 KB)

Abstract

The quality of lighting in a room will affect visual comfort. It is determined by light beam that hits observer’s eyes generating a specific response. Meanwhile, the indicator that represents visual comfort is glare, especially discomfort glare. Glare index in a room, one of them, is stated by Unified Glare Rating (UGR) value affected by the ratio of glare source’s luminance and background in a specific solid angle and position between observer and luminaire. As a result, it is needed to conduct an assessment to know glare potency in a room. The popular method measuring UGR is by analyzing pixel value from High Dynamic Range (HDR) image captured by 180-degree camera. At the same time, the implementation of 360-degree camera in assessing photometry has also been developed. However, the implementation is not been applied to measure glareyet. Therefore, this paper is aimed to implement 360-degree camera determining UGR value of HDR image. It is conducted by comparing the UGR value to 180-degree camera image. The result shows the significant irrelevance of both cameras. Statistical analysis on Lmean and Lstd found that the coefficient of determination is less than one and Root Mean Square Error(RMSE) is bigger than 0.1, while F-test and T-test results are less than 0.05. The value of Coefficient Variation ( CV) 180-degree camera is bigger than 360-degree camera which stated the data of luminance value is more spread out. It shows that the use of 360-degree camera with per-pixel analysis on HDR image to measure glare is not appropriate.
Co-Authors Abiyyu Fathin Derian Ferdiansjah Ferdiansjah Gea O. F. Parikesit Ressy Jaya Yanti Rizki Armanto Mangkuto Utami, Sentagi Sesotya Yakub Fahim Luckyarno