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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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Investigation of Austempering Effect on Fatigue Crack Growth of AISI 4140 Steel

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Defect and Diffusion Forum 2024年 431卷 115-120页

作者： Badaruddin, Mohammad Ainnayah, Reza Annisa Wijaya, Rizqy Nurully Sumardi, Slamet Lampung Selatan Indonesia Department of Mechanical Engineering Faculty of Engineering Universitas Lampung Indonesia Undergraduate Study Program at the Department of M echanical Engineering Faculty of Engineering Universitas Lampung Indonesia

The compact tension (CT) and tensile specimens of the AISI 4140 steel in cold rolling condition (untreated steel) were austempered by immersing it into the salt bath at 362℃ for 60 minutes. The tensile strength properties and the fatigue crack growth (FCG) resistance were performed to investigate the effect of the austempering process in AISI 4140 steel. A significant increase in the yield strength for austempered steel is about 8.7 % and the elastic strain energy increases by 55.7 %. Austempered steel's fatigue crack cycle is longer than that of untreated steel. Data of stress intensity factor range (ΔK, MPa.m1/2) and FCG rate (da/dN, m/cycle) was constructed in double log plot x-y axes for determining the materials constants m and C according to Paris’s law equation using a linear regression method. From the curve of ΔK versus da/dN, the constant m value for austempered steel (m = 3.45) shows better resistance than untreated steel (m = 3.77). On the other hand, the constant C value of 1.409×10-12 for austempered steel is one order magnitude higher than that of untreated steel (C = 4.151×10-13). The resistance of austempered steel against fatigue crack growth can be attributed to the formation of a bainite structure. © 2024 Trans Tech Publications Ltd, Switzerland.

关键词： Stress intensity factors

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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...

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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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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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Smart Parking System with IoT-Enabled using NodeMCU for Car Reservation in Public Areas 2

Smart Parking System with IoT-Enabled using NodeMCU for Car ...

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2nd IEEE International Conference on Electrical engineering, Computer and Information Technology, ICEECIT 2024

作者： Simatupang, Joni Welman Alfarizi, Yosep Salman Electrical Engineering Study Program Faculty of Engineering President University Cikarang Indonesia

ISBN: (纸本)9798331504373

This paper presents the smart parking system using NodeMCU ESP8266 for web-based car reservation in public areas. Conventional parking system made car users take a long time to find the parking in public areas like shopping centers or malls. Therefore, its necessary to overcome this problem by implementing the smart parking system of car reservation. The system prototype integrates the Internet of Things (IoT) technology, NodeMCU ESP8266 (microcontroller), Ultrasonic Sensor HC-SR04 (vehicle detector sensor in parking area), IR obstacle sensor (entry and exit), SG90 Servo (at the entry and exit gate) and Firebase to create a real-time database connected to a web platform. The system provides real-time slot availability information via the web platform and LCD as information at the entrance gate. Users can easily make and cancel reservations with additional features such as OTP verification, and automatic booking cancellation have been successfully implemented. The prototype test method consist of calibration test, sending OTP test, automatic booking cancellation test and manual booking cancellation test. The result of calibration test on 10 cm range have a 80% success rate for ultrasonic sensor 1 as well as the result of ultrasonic sensor 2. While, additional features test result such as sending OTP, automatic booking cancellation, and manual booking cancellation having 100% success rate. It can be concluded that this prototype is successfully implemented and reach the goals with minimum error can be tolerated. The authors suggest to adding a keypad and payment system to this prototype for improvement in the future. © 2024 IEEE.

关键词： Ultrasonic sensors

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Nano Silica Synthesis from Rice Husk Ash and Fly Ash: A review 4

Nano Silica Synthesis from Rice Husk Ash and Fly Ash: A revi...

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4th International Conference on Science, engineering, and Technology, ICSET 2024

作者： Setiawati, M. Saggaf, A. Hasyim, S. Civil Engineering Masters Study Program Faculty of Engineering Sriwijaya University Indonesia

Nanotechnology has been growing rapidly for the past decade. Nano Silica have also received much attention because of its great capability of thermal that can be used in various fields like chromatography, cosmetics, medicine, drugs, agriculture and optics. This paper then conducts literature review on the synthesis of nano silica materials from waste materials abundantly available such as fly ash and rice husk, especially using two popular synthesis methods namely sol-gel method and the alkali fusion method. In conclusion, despite utilizing waste materials, the results showed that those methods can produce nano silica with high-purity level. Additionally, compared to alkali fusion, the sol-gel method is considered better technique due to its simpler process, low-temperature need, and controllable morphology of nano silica. Therefore, sol gel method has been extensively applied to produce nano silica particle. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Sol-gel process

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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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Application of the K-Medoids Clustering Model and Borda Decision Group in Viewing Flood Area Groupings in North Aceh Regency

Application of the K-Medoids Clustering Model and Borda Deci...

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2023 International Workshop on Artificial Intelligence and Image Processing, IWAIIP 2023

作者： Fuadi, Wahyu Sahputra, Ilham Fariadi, Dedi Agustinar Universitas Malikussaleh Informatics Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Information Systems Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Electrical Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia

ISBN: (纸本)9798350382914

The importance of the K-Medoid model in viewing disaster-prone areas in each sub-district in North Aceh. The advantage of the k-medoid model results is that it has better cluster centers than other models. The novelty of this research is the cluster results are assessed by each decision maker using the Borda group model in providing flood disaster assistance or areas that are a priority for handling, which are included in the flood-prone cluster. Therefore, this research is important because it can be used to identify areas most severely affected by flooding. This research aims to analyze and identify the impact of flood hazards based on grouping and decision-making using the Borda group model in each sub-district in North Aceh. The results of the k-medoids model show 3 clusters that can see potential areas for flood disasters, namely very vulnerable. There are six sub-districts. For the k-medoids results, ten sub-districts are vulnerable. Lastly, the safe zones are 11 sub-districts. This research's k-medoid model analysis is more precise in seeing clusters of places that are potentially affected by flooding based on spatial maps of their nearest neighboring areas. The percentage of each cluster is as follows: Cluster 1 is 4%, Cluster 2 is 55%, and Cluster 3 is 41%. The k-medoid model provided this result after three iterations, with a closeness difference of 1.594510537. The results of the Borda model group research can be used as a recommendation for the areas that receive the highest priority in disaster management. © 2023 IEEE.

关键词： Floods

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L-Heat Pipe Simulation for Lithium-Ion Electric Vehicle Battery Cooling Systems 4

L-Heat Pipe Simulation for Lithium-Ion Electric Vehicle Batt...

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4th International Symposium on Advances and Innovation in Mechanical engineering, ISAIME 2023

作者： Septiadi, Wayan Nata Astawa, Ketut Eleazar, Rolland Pierce Ramadhani, Dandi Bhaswara, Nabiel Rafa Angel Jayendra, Kadek Dananta Study Program of Mechanical Engineering Faculty of Engineering Universitas Udayana Bali Bukit Jimbaran80361 Indonesia

The Li-ion battery is electrical storage in the form of chemical energy and is considered the strongest candidate for electrical-based automotive applications. The performance of the battery greatly affects the performance of electric vehicles. There is a need for effective thermal management to control battery temperature below a defined temperature such as 50°C. The thermal management system in the battery can be done by passively cooling it using heat pipes and heat sinks. This research was conducted by simulating the Makara Electric Vehicle's electric scooter battery module which was applied with a heat pipe-based cooling system. The simulated module focuses on heat pipes and 18650 lithium-ion batteries with discharge rate variations of 1C, 2C., and 3C. The method used is literature study and CFD simulation. The results show that the heat pipe cooling system can reduce battery temperature at each discharge rate variation of 12,85%, 16,23%, and 23,74%. Heat Pipe can absorb the highest heat of 68,1178 kW when the module uses a 3C battery. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Cooling systems

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Convolutional Neural Network for Cataract Clasification Using Primary Dataset 9

Convolutional Neural Network for Cataract Clasification Usin...

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9th International Conference on Business and Industrial Research, ICBIR 2024

作者： Totok Suryawan, I Gede Putra, I Wayan Murmayasa Adi Informatics Engineering Study Program Faculty of Technology and Informatics Denpasar Indonesia

ISBN: (纸本)9798350383010

Cataracts are the main factor causing blindness in Indonesia. Traditional diagnostic methods involving clinical examination by an ophthalmologist using a slit-lamp and visual tests have many challenges such as limited resources, time, and medical expertise may not be available in all locations, especially in less developed areas. Utilizing medical image technology is a wise choice because it allows early detection and monitoring of the development of this cataract disease Technology is needed to identify medical images that have valuable information so that early detection or monitoring of cataract development can be carried out. CNN as a part of deep learning has the ability to perform automatic feature extraction so that it can identify eye images. A CNN model for recognizing cataracts in eye images taken directly from Bhayangkara Hospital in Denpasar Bali has been developed in this research. The model developed is equipped with a dropout layer technique to prevent overfitting. The test results show that the CNN developed in this research produces very good performance with an average accuracy level of 92% on public dataset images, and 94% on primary dataset images. Tested using the primary dataset and public dataset, this CNN model shows very good performance because it can correctly identify an average of 94% of eye images in the primary dataset, and 92% of eye images in the public dataset.. © 2024 IEEE.

关键词： Convolutional neural networks

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