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The Darknet Framework YOLOV7 is Used for Pineapple Fruit Ripeness Classification 1

The Darknet Framework YOLOV7 is Used for Pineapple Fruit Rip...

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1st International Conference on Advanced engineering and Technologies, ICONNIC 2023

作者： Nasution, Nurliana Nasution, Feldiansyah Bin Bakri Devega, Mariza Hasan, Mhd Arief Informatic Engineering Study Program Universitas Lancang Kuning Pekanbaru Indonesia

ISBN: (纸本)9798350306484

In this study, we developed and implemented an object detection method to distinguish between ripe and unripe pineapples. We used a pre-trained object detection model using YOLOv7 and BlendMask techniques and finetuned it on the MS COCO instance segmentation dataset for 30 epochs. Through the preprocessing process, we resized the images to the specified target size and normalized the pixel intensities. We also created bounding boxes to mark objects in the images based on computed coordinates using object scores and attributes. During the prediction stage on two sample images, we accurately predicted that one image contained a ripe pineapple with a confidence level of 56%, while the other image contained an unripe pineapple with a confidence level of 77%. These results demonstrate that our developed object detection method is effective in differentiating the ripeness of pineapples. This research contributes to the development of fruit classification applications based on ripeness levels. The implemented object detection method can serve as a foundation for the development of more advanced systems in automatically identifying and segregating ripe and unripe fruits. As a result, this study has the potential to enhance efficiency and accuracy in the agricultural and fruit processing industries. © 2023 IEEE.

关键词： Fruits

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Classification of Orange Fruit Using Convolutional Neural Network, Support Vector Machine, K-Nearest Neighbor and Naive Bayes Methods Based on Color Analysis

Classification of Orange Fruit Using Convolutional Neural Ne...

引用

2023 International Conference on Computer Science, Information Technology and engineering, ICCoSITE 2023

作者： Pratiwi, Widhi Ersa Hasan, Mhd Arief Mustika, Gusyella Sarah, Siti Ramadhani, Dwi Suci Julizar, Fadli Ferry Universitas Lancang Kuning Informatic Engineering Study Program Pekanbaru Indonesia

ISBN: (纸本)9798350320954

Citrus fruit is a fruit that has good vitamins and is popular with the public. This fruit also has various types with different benefits. Each type of orange also has a variety of colors. Types of oranges can be checked manually by looking directly at the color and texture of the fruit. This manual method is very simple but also very subjective because of the different understanding of each person about the types of oranges. Therefore, this research discusses and explains how to determine the type of fruit by comparing several methods, namely using the SVM method (Support Vector Machine), the CNN method (Convolutional Neural Network), the K-NN method (K-Nearest Neighbor), and the Naïve Bayes method by taking several samples of citrus fruit images consisting of sweet oranges, lemons and limes using a mobile phone camera. The total dataset used in this study is 90 datasets consisting of 30 sweet orange images, 30 lime images and 30 lemon images. Of the 90 datasets are divided into training data and test data. From the results of the study, it was obtained that the accuracy of compatibility with a percentage of 100% using the CNN method (Convolutional Neural Network). © 2023 IEEE.

关键词： Convolution

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Implementation of cart Algorithm for Monitoring System and Prediction of Electric Power use of IOT-Based Household Equipment 2

Implementation of cart Algorithm for Monitoring System and P...

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2nd International Conference on Computer, Science, engineering, and Technology, ICComSET 2019

作者： Palupiningsih, Pritasari Prayitno, Budi Informatic Engineering Study Program Sekolah Tinggi Teknik PLN Jakarta Indonesia

PLN customer power consumption from the household sector is quite large, originating from the use of household appliances, such as refrigerators, televisions, dispensers, lamps and air conditioners. When users feel that their electricity usage is wasteful, they do not know in detail which household electrical appliances consume the most electricity. At this time customers still find it difficult to monitor the power usage of every household electrical appliance. So it is not known which equipment consumes large amounts of electrical energy. For this reason, a monitoring system for household electrical power usage is needed. This system can be used by PLN household sector customers to find out which household appliances use large power, so customers can manage the use of household appliances. To do this monitoring, a wattmeter device is needed that is able to measure the power use of household electronic equipment. The results of this measurement are measured current data through the current sensor. So that monitoring can be done through the system in real time, the measurement data is sent to the monitoring system database server via the internet of things (IoT) devices. Data generated from the monitoring system can be analyzed using prediction techniques, to obtain information about the length of time the availability of electrical energy has been purchased by the customer. One algorithm that can be used to predict the use of household electrical power is the CART algorithm. This research aims to build a monitoring system for power usage for each IoT -based household appliances. This research aims to build a monitoring system for power usage for each IoT-based household appliances. The second objective of this research is to apply CART algorithm to predict the power usage of household appliances. © Published under licence by IOP Publishing Ltd.

关键词： Internet of things

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The development of market segmentation of sorghum products as functional beverages 3

The development of market segmentation of sorghum products a...

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3rd Annual Applied Science and engineering Conference, AASEC 2018

作者： Noerhartati, E. Widiartin, T. Maslihah, M. Karyanto, N.W. Agroindustrial Technology Study Program-Engineering Faculty Universitas Wijaya Kusuma Surabaya Indonesia Informatic Engineering Study Program-Engineering Faculty Universitas Wijaya Kusuma Surabaya Indonesia

Sorghum is one of the plants that can be processed into functional beverages containing elements of nutrients or non-nutrients that provide positive effects on health of the body. A descriptive qualitative research, this study aims to obtain product formulation and to initiate the process of market segmentation analysis. The study was conducted in two stages. The first stage was optimization using a Two-Factor Randomized Block Design, with three replications. The first design was performed by applying Flavour Addition (R): R1 used Ginger Flavour and R2 used Pandan Flavour. The second design was performed by applying Sweetener Addition (P): P1 used Cane Sugar and P2 used Brown Sugar. The aspects observed included physical, organoleptic, and chemical aspects. When analyzing the data, organoleptic test was performed by using Friedman test while chemical test was performed by using variance analysis, followed by using 5% Duncan test. The second stage was introducing sorghum-based functional beverages as new products to the public to initiate the process of market segmentation analysis, and the results showed that product formulation had been successfully obtained and sorghum-based functional beverages as new products were accepted by 78.6% of consumers, including the quality in terms of physical, organoleptic, and chemical aspects. © Published under licence by IOP Publishing Ltd.

关键词： Nutrients

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Analysis of Decision Tree and Smooth Support Vector Machine Methods on Data Mining 1

Analysis of Decision Tree and Smooth Support Vector Machine ...

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1st International Conference on Computer Science and Applied Mathematic, ICCSAM 2018

作者： Sitepu, Natalina Br Sawaluddin Zarlis, M. Efendi, Syahril Dhany, Hanna Willa Informatic Engineering Study Program Magister Faculty of Computer Science and Information Technology Universitas Sumatra Utara Medan Indonesia

This research is about smooth support vector machine (SSVM) and Decision Tree in data mining. Many researchers conduct and develop methods to improve the accuracy and classification of data on good results. This research was conducted by conducting an experiment on STMIK Neumann Medan student data. In this study, it was concluded that Decision Tree performance is better than SSVM, Decision Tree gets very good results that promise to help find the best students to get scholarships. This study is better than SSVM. The training process has a difference of 11.04% and the testing process is 10.08% with each Accuracy. © Published under licence by IOP Publishing Ltd.

关键词： Decision trees

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Improvement of E-Nose Sensor Signal Using MVA, FFT, DWT Methods on Pineapple Fruit Maturity 6

Improvement of E-Nose Sensor Signal Using MVA, FFT, DWT Meth...

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6th International Conference on Information Technology, Information Systems and Electrical engineering, ICITISEE 2022

作者： Hasan, Mhd Arief Sarno, Riyanarto Ardani, M. Syauqi Hanif Intitut Teknologi Sepuluh Nopember Informatics Department Surabaya Indonesia Universitas Lancang Kuning Informatic Engineering Study Program Pekanbaru Indonesia

ISBN: (纸本)9798350399615

In this study, we built an Electronic Nose to detect pineapple ripeness. We designed a prototype E-Nose using a wooden crate. Inside the box, we built the E-Nose using 9 MQ sensor circuits connected to the Arduino Microcontroller. In the crate, we put an object, namely a pineapple with three levels of ripeness (ripe, half ripe, and unripe), each weighing 1kg placed in three different positions (5cm, 20cm, and 35cm) from the position of the sensor array (E-nose). We converted the signal output results into ppm units. We compared the value of each fruit signal based on the level of ripeness and distance using E-Nose. We used several signal processing methods (wavelets) for signal processing. Then, we improved the signal generated using wavelet. The wavelet methods used are Moving Average, Fast Fourier Transform (FFT), and Discrete Wavelet Transform (DWT). The contribution of this research is to see the influence of the signal valuegenerated from the sensor (MQ Sensor) to the position (distance) of the object (fruit) and its influence on the level of maturity (fruit). Then signalgenerated from the sensor we make improvements with the mva, fft, and dwt methods. © 2022 IEEE.

关键词： DWT E-Nose FFT MVA Pineapple

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Improvement of PID Based on Fuzzy Logic Controller for Controlling Attitude of a Quadcopter 1

Improvement of PID Based on Fuzzy Logic Controller for Contr...

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1st International Conference of Adisutjipto on Aerospace Electrical engineering and informatics, ICAAEEI 2024

作者： Rizki Dalimunthe, Ernando Sibuea, Horas Nico L. P. Rama Setiadi, Dirga Jayadi, Akhmad Persada Sembiring, Jaka Pranita, Elka Universitas Teknokrat Indonesia Faculty of Engineering and Computer Science Bandar Lampung Indonesia Politenik Negeri Lampung Informatic Management Study Program Bandar Lampung Indonesia

ISBN: (纸本)9798331507930

The quadcopter has a fairly simple mechanical design because it does not require other drives to perform various movements such as roll, pitch, and yaw. The simplicity of this mechanical design has a considerable impact on the complexity of its control. Therefore, it is necessary to have a good control method to maintain the stability of the quadcopter. The research aims to maintain stability of quadcopter by using a combination of the Fuzzy Logic Controller (FLC) with the Proportional-Integral-Derivative (PID) method, where FLC is used to initialize the input of the PID method to find the quadcopter stability point. The application of fuzzy methods for the initial tuning of PID parameters has proven effective in enhancing the system's fundamental performance, such as overshoot, rise time, and settling time, compared to the conventional PID approach. The proposed method can reduce overshoot by over 20%, with reductions reaching up to 88% in yaw motion. Additionally, the Fuzzy-PID approach significantly improves stability, shortening the time to achieve steady-state by less than 1 seconds for all movements while PID did more than 2s for pitch and roll motions and over 1s for yaw motion. © 2024 IEEE.

关键词： Two term control systems

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The Use of E-Commerce Website in MSME Product Marketing in Bengkulu Province 9

The Use of E-Commerce Website in MSME Product Marketing in B...

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9th International Conference on Cyber and IT Service Management, CITSM 2021

作者： Fauzan Barus, Karina Oktavia Pratiwi, Nelsa Putri Munda Markoni Herawan Hayadi, B. Universitas Prof. Dr. Hazairin SH Management Study Program Faculty of Economics and Business Bengkulu Indonesia Faculty of Engineering Universitas Prof. Dr. Hazairin SH Informatic Study Program Bengkulu Indonesia

ISBN: (纸本)9781665435482

Technological developments in recent time of globalization, especially computer-based communication and information technology, where technology is the mainstay and needs of the world community are highly important. This is due to the very rapid development in the field of telecommunications and computers, which has pushed the world community into a fast-paced reform era, even though it has made information central in the industrial and business. © 2021 IEEE.

关键词： Websites

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Aircraft Flight Schedule Announcement at Pionir Indonesian Airport Based on SMS Broadcast 1

Aircraft Flight Schedule Announcement at Pionir Indonesian A...

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1st International Conference of Adisutjipto on Aerospace Electrical engineering and informatics, ICAAEEI 2024

作者： Kusumaningrum, Anggraini Wahyu, Septian Sahal, Ahmad Pujiastuti, Asih Ayuningtyas, Astika Pratiwi, Elizabeth Anna Adisutjipto Institute of Aerospace Technology Informatics Study Program Yogyakarta Indonesia Adisutjipto College of Technology Informatic Engineering Department Yogyakarta Indonesia Respati University D3 Information Technology Study Program Faculty of Science and Technology Yogyakarta Indonesia Adisutjipto Institute of Aerospace Technology Aerospace Engineering Study Program Yogyakarta Indonesia

ISBN: (纸本)9798331507930

The design and construction of delivering announcements using a web-based SMS gateway aims to help overcome problems that often occur at pioneer airports;this is because when passengers want to travel, many passengers still arrive late to check-in, even though the passenger ticket has a notification for checking. -in 1 hour before Departure. If a flight's Departure is delayed or accelerated, passengers will only receive this information when they arrive at the airport, whereas if at the time the departure notification is delayed or accelerated, the passenger is still outside the airport or still on their way to the airport, as a result, they will definitely not receive the information. Testing voice announcements on parking, arrival, departure, delay, check-in, and waiting room services, as well as testing SMS broadcasts (30 user numbers and one airline), shows that the announcement application provides information through voice data recording and broadcasts SMS to passengers and families. Testing was carried out at Indonesian Pioner airport for 30 passengers for a week. The percentage of Ease of obtaining test voice information was 81.98%, and the percentage of Ease of obtaining broadcast SMS information was 83.1%. Implementing the announcement is feasible at pioneer airports with a percentage of 82.54%. © 2024 IEEE.

关键词： Text messaging

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Information Technology Influence on the Marketing Strategy for Micro, Small Medium Enterprises: Case study on Kalimansi Orange Syrup Business 9

Information Technology Influence on the Marketing Strategy f...

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9th International Conference on Cyber and IT Service Management, CITSM 2021

作者： Hidayati, Arifah Yuanda, Rahmat Iqbal Alvioni, Cindy Saputra, Romi Ramadhan, Mutia Hidayat, Rahmat Agung Herawan Hayadi, B. Universitas Prof. Dr. Hazairin SH Economics Study Program Faculty of Economics and Business Bengkulu Indonesia Universitas Prof. Dr. Hazairin SH Informatic Study Program Faculty of Engineering Bengkulu Indonesia

ISBN: (纸本)9781665435482

One of the challenges for small and medium-sized businesses is how to develop marketing targets for the products they produce, this can be done by utilizing information technology. However, based on the records of the Central Bureau of Statistics, most of the education levels of small and medium-sized business actors are elementary school graduates, which is 48% which causes them to not use information technology as a means to expand their product marketing. In this study, researchers conducted trials on the Kalamansi Syrup Business to apply information technology in the form of social media and sales applications such as Shopee, Facebook, Lazada etc. From this application, it is found that there is an increase in the number of customers who are influenced by information from the application of information technology. © 2021 IEEE.

关键词： Commerce

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