Detection of Mad Lazim Harfi Musyba Images Uses Convolutional Neural Network

Noeman, Achmad; Handayani, Dini

doi:10.1088/1757-899x/771/1/012030

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…Hue is a color channel that shows authentic tones without any additional white, black, or gray. Changes in the contrast level of 𝑎 can be calculated using Equation (6).…”

Section: Hsv Color Model Augmentationmentioning

confidence: 99%

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Tajweed-YOLO: Object Detection Method for Tajweed by Applying HSV Color Model Augmentation on Mushaf Images

Azizah

Fatichah

2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

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Tajweed is a basic knowledge of learning to read the Al-Qur’an correctly. Tajweed has many laws grouped into several parts so that only some people can memorize and implement Tajweed properly. Therefore, it is necessary to have an automatic detection system to facilitate the recognition of Tajweed, which can be used daily. This study presents Tajweed-YOLO, which applies the HSV color augmentation model to detect Tajweed objects in Mushaf images using YOLO. The contribution to this study was to compare the three versions of You Only Look Once (YOLO), i.e., YOLOv5, YOLOv6, and YOLOv7, and usage of the HSV color model augmentation to improve Tajweed detection performance. Comparing the three YOLO versions aims to solve problems in detecting small objects and recognizing various forms of Mushaf writing fonts in Tajweed detection. Meanwhile, the HSV color model aims to recognize Tajweed objects in various Mushaf and handle minority class problems. In this study, we collected four different Al-Qur’an mushaf with 10 Tajweed classes. The augmentation process can increase the detection performance by up to 85% compared to without augmentation 6th Class (Mad Jaiz Munfashil) using YOLOv6. The comparison of three YOLO versions concluded that YOLOv7 was better than YOLOv5 and YOLOv6, seen in data with augmentation and without augmentation. The evaluation results of mAP0.5 on 17 test data on the YOLOv7, YOLOv6, and YOLOv5 models are 80%, 69%, and 71%, respectively. These results prove that this research model’s results are suitable for the real-time detection of Tajweed.

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“…Hue is a color channel that shows authentic tones without any additional white, black, or gray. Changes in the contrast level of 𝑎 can be calculated using Equation (6).…”

Section: Hsv Color Model Augmentationmentioning

confidence: 99%

“…The average detection result reaches 80% on the Tajweed of Idgham Mutajanisain. Another study [6] detected the Tajweed of Mad Lazim Harfi Musyba using the Deep Learning Convolutional Neural Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol. 7 No.…”

Section: Introductionmentioning

confidence: 99%

Tajweed-YOLO: Object Detection Method for Tajweed by Applying HSV Color Model Augmentation on Mushaf Images

Azizah

Fatichah

2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

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“…Fuzzy Inference System (FIS) is the process of making a mapping system from the given input to the output using fuzzy logic [3]. Mapping then provides the basis from which decisions can be made, or patterns can be found [4]. Fuzzy inference systems have been properly implemented in many fields such as automatic control, data classification, decision analysis, expert systems, and computer vision [5].…”

Section: Introductionmentioning

confidence: 99%

Untitled

2021

International Journal of Advanced Research in Computer and Comm

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The Witel Business Service Division is a division that is responsible for the operational sector of PT Telkom Telekomunikasi Indonesia. One of the operational areas in the Witel division is customer service. The task of contacting customer needs in the ICT field as well as the disruption that the customer is experiencing is the task of the marketing department. The marketing department visits or prospects to customers through visits, calls, emails, to each predetermined customer data. If the customer agrees with what marketing offers, a memorandum of understanding is made. Furthermore, marketing will report its activities to the manager. Manager has one of his duties to evaluate marketing performance. There are several parameters / criteria for evaluating marketing performance based on reports received. In this study, to assess marketing performance using the Fuzzy Inference System (FIS) Sugeno method, namely the process of making a mapping system from the input given to the output using fuzzy logic. Fuzzy variables are obtained from the criteria for Existing Customer Management, Acquisition of Subscription Contracts and PBC is Acquisition of Billing Complete which is then used as fuzzy input. The results of this study resulted in the Sugeno method of Fuzzy Interference System which can be applied at the calculation stage of the marketing performance assessment, where the value of each input variable is subject to fuzzification first. Furthermore, inference is made to the rules used and ends with the defuzzification stage in the form of calculating the score using the weighted average method. With the average weight value is in the range 41-89, and is in the good category in general, although there is a low value.

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