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All Journal Dinamisia: Jurnal Pengabdian Kepada Masyarakat JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Community Development Journal: Jurnal Pengabdian Masyarakat Studies in Learning and Teaching Publikasi Riset Orientasi Teknik Sipil (Proteksi) JAMANTA The Indonesian Journal of Computer Science Jurnal Ilmiah Mahasiswa Akuntansi Universitas Tulungagung
Sa'adah, Nihayatus
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Public Health Social Sciences Transportation Other

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Journal : The Indonesian Journal of Computer Science

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Analisa Performansi Komunikasi Lora (Long Range) pada Sistem Monitoring Buoy di Laut Sa'adah, Nihayatus; Aries Pratiarso; Faridatun Nadziroh; Nailul Muna; Karimatun Nisa’; I Gede Puja Astawa; Tri Budi Santoso; Sultan Syahputra Yulianto
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4462

Abstract

LoRa (Long Range) is a leading technology in Low Power Wide Area Networks (LPWAN), ideal for Internet of Things (IoT) applications. Designed for long-range communication with low power consumption, LoRa is used in monitoring navigation buoys, critical aids in marine waters. An IoT-based monitoring system is essential for maintaining buoy functionality. LoRaWAN, with a range of 15 kilometers under line of sight (LoS) conditions, is employed for IoT connectivity in this system. In this study, 915 MHz LoRa communication was used in buoy monitoring, with performance evaluated based on signal-to-noise ratio (SNR) and received signal strength indicator (RSSI). Measurements showed an average RSSI greater than -120 dB and an average SNR greater than -20 dB, indicating LoRa's suitability as a communication network for buoy monitoring systems.
Edge Computing-Based Automated Vehicle Classification System Using the MobileNet V2 Model Widyatra Sudibyo, Rahardhita; Mahmudah, Haniah; Hadi , Moch. Zen Samsono; Sa'adah, Nihayatus
The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i3.3106

Abstract

The volume of traffic in one day is referred to as the average daily traffic volume. The Average Daily Traffic System (LHR) is also used to detect road damage caused by excessive vehicle loads. In the LHR system, vehicle data is still collected manually, with humans calculating the type and number of vehicles based on observations made and then divided into a time span. As a result, a system with a camera and deep learning data processing is required to automatically calculate the type and number of vehicles. The goal of this research is to develop edge computing systems by improving the system's performance in the calculation and classification of vehicles using the SSD MobileNet V2 model. The results of the MobileNet model scenario 5 have the lowest loss value of the five scenarios. The MobileNet V2 model can better classify vehicle types with a 65 FPS inference process.
Co-Authors Anang Budikarso, Anang Ari Wijayanti Aries Pratiarso Asmarani, Ratih Budi Aswoyo, Budi Djoko Santoso Faizah, Siti Faridatun Nadziroh Firmansyah, Ferdiaz Hadi , Moch. Zen Samsono I Gede Puja Astawa I Gede Puja Astawa Iqrammah, Evany Karimatun Nisa’ Kurniajaya, Moga Maharani, Ellsa Christy Mahmudah, Hani'ah Mahmudah, Haniah Mahmudah, Hani’ah Milchan, Muhammad Mohamad Ridwan Nadziroh, Faridatun Nailul Muna Novia Dwi Rahmawati Nur Adi Siswandari Okkie Puspitorini, Okkie Rahmadia, Vera Raihan, Dafa Ratri, Aestatica Rodliyah, Iesyah Rofi'ah, Nikmatul Salwadilla, Ika Shafira Saraswati, Sari Siti Khabibah Sudibyo, Rahardhita Widyatra Sultan Syahputra Yulianto Susilo, Claudya Zahrani Tasya, Salsabila Tri Budi Santoso Tri Rijanto Wahyu, Gilang Arya Widyatra Sudibyo, Rahardhita Widyatra, Rahardhita Yudha, Kurniawan Try