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All Journal Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Journal of Engineering and Scientific Research (JESR) International Journal of Electronics and Communications Systems Jurnal Teknologi Riset Terapan
Sony Ferbangkara
Universitas Lampung
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Other

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Journal : International Journal of Electronics and Communications Systems

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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.
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 -, Ubaidah Adhi Nurhartanto, Adhi Ahmad Saudi Samosir Andrianto, Rifqi Rhama Annisa, Resty Deni Achmad Djausal, Gita Paramita F.X. Arinto Hidayatullah, Vezan Khairudin Khairudin Makarim, Alvin Reihansyah Mardiana Mardiana Mardiana Mardiana Mareli Telaumbanua Martinus Martinus Martinus, Martinus Meizano Ardhi Muhammad Meizano Ardhi Muhammad Muhammad, Meizano Ardhi Mulyani, Yessi Pratama, Rama Wahyu Ajie Putri, Renatha Amelia Manggala Rafi'syaiim, Muhammad Afif Rifqi Rhama Andrianto Sri Ratna Sulistiyanti Sumadi - ubaidah ubaidah Wahyu Eko Sulistiono