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All Journal International Journal of Electrical and Computer Engineering GEMA TEKNOLOGI Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Jurnal Informatika dan Teknik Elektro Terapan International conference on Information Technology and Business (ICITB) Register: Jurnal Ilmiah Teknologi Sistem Informasi JIEET (Journal of Information Engineering and Educational Technology) Jurnal Kesehatan Barometer Jurnal Profesi Insinyur Universitas Lampung International Journal of Electronics and Communications Systems Journal of Applied Science, Engineering and Technology (J. ASET)
Muhammad, Meizano Ardhi
Universitas Lampung
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Public Health Other

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Journal : International Journal of Electronics and Communications Systems

 1 
Design and Construction of Duku Sorting System Based on Size Using a Microcontroller on Conveyor Work Martinus, Martinus; Muhammad, Meizano Ardhi; Telaumbanua, Mareli; Andrianto, Rifqi Rhama; Ferbangkara, Sony
International Journal of Electronics and Communications Systems Vol. 1 No. 2 (2021): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v1i2.10612

Abstract

Duku (Lansuim Domesticum Corr)fruit harvesting is generally done manually by farmers in Indonesia so that the quality of the duku fruit, especially the uniformity of size, is not considered. The impact of this harvesting is a decrease in fruit quality and a decrease in selling prices. It is necessary to develop a new sorting machine for duku so that the fruit size is accurate. This research aims to make a sorting system for duku fruit based on size using a microcontroller on conveyor work. The sorting system uses two sensors, VL53L0X and FC-51. The design has a servo actuator to separate the fruit classes. This study developed a correct sorting of duku fruit sizes up to 97.4 percent, counting accuracy up to 99.4 percent, system stability up to 96.65 percent, and transient response of 100 ms. The result of testing this tool is that the ability of the Duku fruit sorting system based on size has a stability value of 96.6 percent. The transient response obtained is 100ms. The accuracy of the perfect sorting results is 97.4 percent, and the calculation of the number of duku using the system is 99.4 percent. The conclusion is that the researchers can create a sorting system based on size using a microcontroller on conveyor work.
Internet of Things Ultraviolet Sterilizer Receiver Box: How to Design and Construct? Muhammad, Meizano Ardhi; Panuju, Achmad Yahya Teguh; Prayitno, Hadi; Pradipta, Rio Ariestia; Martinus, Martinus; Akbar, Gustian Ilham
International Journal of Electronics and Communications Systems Vol. 1 No. 2 (2021): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v1i2.10617

Abstract

COVID-19 is a virus that can spread through objects and depending on environmental conditions. It can last for several hours without destroying structures or disintegrating. Due to the COVID-19 pandemic, people were restricted from going outside to buy essential goods. Based on these conditions, it is necessary to design an IoT-based virus-safe package receipt box that is intuitive and comfortable for users to use, whether sending or receiving packages. People can control the system via remote control. Sterilization is carried out intelligently by considering the packet received. Design and construction of Internet of Things Ultraviolet Sterilizer Receiver Box use the Design Science Research Method. The methods consist of six stages: identify problem and motivate, define the objective of a solution, design and development, demonstration, evaluation, and communication. There are three parts of the system: sterilizer receiver box, mobile application, and Internet of Things. The system successfully passes the five testing scenarios: package received detection, package retrieved detection, ultraviolet irradiation, data service, and locking. The IoT-based virus-safe package receipt box can help maintain public health by preventing the COVID-19 virus with ultraviolet sterilization and supporting a modern lifestyle where people who work when the package arrives do not have to worry about the packages arriving.
Virtual Keyboard Design of Lampung Script Based on Android Bagaskara, Pratama Yuda; Muhammad, Meizano Ardhi; Mardiana, Mardiana; Komarudin, M
International Journal of Electronics and Communications Systems Vol. 2 No. 1 (2022): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v2i1.11648

Abstract

Lampung script fonts, in general, can only be used for typing on a computer system and have not been developed for typing on Android-based smartphones. Therefore, efforts to modernize and build typing using Lampung script for smartphone needs are very much needed on mobile phones so they can be used flexibly. This research makes a virtual keyboard / android keyboard application that can do typing using Lampung script. The virtual keyboard layout is designed by adopting several layouts found on the QWERTY keyboard by displaying all Aksara letters on one virtual keyboard display and grouping Aksara letters in a more attractive composition. To test the Lampung virtual keyboard script, the researchers used the usability testing method, namely aspects of effectiveness, efficiency, and user satisfaction, by 25 respondents. Through this test, an assessment of the effectiveness of the typing test on the success rate of respondents in doing the task was obtained, which was 75 percent. Evaluation of the typing efficiency aspect using time calculation gets the average result on the WPM score analysis, which is 34 WPM. This result is still below the average typing speed of people, which is 38 WPM. Testing on the aspect of user satisfaction using the system usability scale (SUS) method gets a SUS value of 76, and this result is included in the Acceptable/Good category Acceptable/Good so that users can type Lampung script through Android phones. The conclusion is that it can produce an optimal, efficient virtual keyboard layout and provide comfort for the user while using it with Android. It also could introduce the Lampung script to the younger generation.
Comparison Study of Convolutional Neural Network Architecture in Aglaonema Classification Mulyani, Yessi; Septiangraini, Dzihan; Muhammad, Meizano Ardhi; Nama, Gigih Forda
International Journal of Electronics and Communications Systems Vol. 2 No. 2 (2022): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v2i2.13694

Abstract

Convolutional Neural Network (CNN) is very good at classifying images. To measure the best CNN architecture, a study must be done against real-case scenarios. Aglaonema, one of the plants with high similarity, is chosen as a test case to compare CNN architecture. In this study, a classification process was carried out on five classes of Aglaonema imagery by comparing five architectures from the Convolutional Neural Network (CNN) method: LeNet, AlexNet, VGG16, Inception V3, and ResNet50. The total dataset used is 500 image data, with the distribution of training data by 80 percent and test data by 20 percent. The segmentation process is performed using the Grabcut algorithm by separating the foreground and background. To build a model for CNN architecture using Google Colab and Google Drive storage. The results of the tests carried out on five classes of Aglaonema images obtained the best accuracy, precision, and recall results on the Inception V3 architecture with values of 92.8 percent, 93 percent, and 92.8 percent. The CNN architecture has the highest level of accuracy in classifying aglaonema plant types based on images. This study seeks to close research gaps, contribute to the field of research, and serve as a platform for primary prevention research.
Development of Lampung Script Characters Recognition Model using TensorFlow Muhammad, Meizano Ardhi; Martinus, Martinus; Nurhartanto, Adhi; Mulyani, Yessi; Djausal, Gita Paramita; Achmad, Deni; Ferbangkara, Sony
International Journal of Electronics and Communications Systems Vol. 3 No. 2 (2023): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v3i2.19878

Abstract

In the face of cultural erosion, particularly the dwindling proficiency in deciphering Lampung characters, this research pioneers an innovative approach to cultural preservation. The Lampung character recognition model was developed using TensorFlow, a robust computer vision and machine learning framework. Convolutional Neural Networks (CNN) are integrated to enhance the image processing capabilities. The research employs the Design Science Research methodology, emphasizing problem identification, solution objectives, design and development, demonstration, evaluation, and communication. The dataset, comprising 3900 instances, is meticulously collected and features diverse Lampung script writing. Through preprocessing and classification, the model undergoes training with an 80:10:10 split for training, validation, and test data. The architecture includes CNN layers with ReLu activation functions, and transfer learning is employed using the MobileNet V2 network model. Demonstrating commendable performance, the model achieves an accuracy spectrum of 0.652 to 0.998. The research not only underscores the viability of the TensorFlow model but also establishes a foundation for future explorations in preserving Lampung cultural heritage. This intersection of advanced machine learning and cultural preservation signifies a promising synergy, ensuring the enduring legacy of Lampung characters amid societal and technological transformations.
Co-Authors Achmad Yahya Teguh Panuju Adhi Nurhartanto, Adhi Ahmad Abdullah Ahmad Saudi Samosir Akbar, Gustian Ilham Akmal Junaidi Andrian, Rico Andrianto, Rifqi Rhama Ariesta, Rio Bagaskara, Pratama Yuda Budiyanto, Deny Deni Achmad Dillah, Arya Djausal, Gita Paramita Dwi Indria Anggraini Fitarina, Fitarina Fitriyani Gigih Forda Nama Hadi Prayitno, Hadi Hakim, Lukmanul Hery Dian Septama Krismaningrum, Hasti Primadilla Lania, Siska M Komarudin, M Maharani, Devi Mahendra Pratama MARDIANA Mardiana - Mardiana Mardiana Mareli Telaumbanua Martinus, Martinus Muhammad Komarudin Mulyani, Yessi Pradipta, Rio Ariestia Pujiarti, Daning Puput Budi Wintoro, Puput Budi Puspita, Maylan Anggi Raden Arum Setia Priadi Rahmayani, Fidha Rhomadhona, Nazmah Wulan Robert Bestak Saipul Anwar Septiangraini, Dzihan Setia, Harlika Nobra Sony Ferbangkara Sumadi - Surya Saputra, Surya Saputra ubaidah ubaidah Wahyudi, Fajar Desma