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EAM-LoRaNet: Energy Aware Multi-hop LoRa Network for Internet of Things Misbahuddin Misbahuddin; Muhammad Syamsu Iqbal; Djul Fikry Budiman; Giri Wahyu Wiriasto; Lalu Ahmad Syamsul Irfan Akbar
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 7, No. 1, February 2022
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v7i1.1391

LoRa Technology is one of the devices used on Low-Power Wide Area Networks (LPWAN), which is a viable alternative wireless communication technology for the Internet of Things (IoT). The LoRa device is meant to traverse a large distance while using minimal power. However, because it uses single-hop communication, the Gateway's farthest nodes will die prematurely as a result of the increased energy usage. This research attempts to improve the range of LoRa networks utilizing multi-hop uplink communication while also reducing energy consumption by adjusting the LoRa transmission power to the lowest possible dBm in each hop. As a network model, a star topology-based tree made of some rings with a gateway as the central point is chosen. The performance of two forms of uplink communication, single-hop and multi-hop models was tested in terms of energy consumption and coverage. The results show that the network structure in the multi-hop uplink model can extend coverage over a greater distance while using less energy than the single-hop uplink model. This model can be used as a supplement to the LPWAN's uplink communication in the IoT to enhance the network's coverage range and lifetime.

PENGENALAN CITRA PORNOGRAFI BERDASARKAN DETEKSI GENITAL MENGGUNAKAN TEMPLATE MATCHING Nugroho Sujatmiko; I Gede Pasek Suta W; L. Ahmad Syamsul Irfan Akbar
DIELEKTRIKA Vol 4 No 1 (2017): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

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Perkembangan ilmu pengetahuan dan teknologi semakin pesat dewasa ini ternyata memberikan dampak yang sangat besar bagi kehidupan masyarakat terutama dalam proses penyampaian informasi. Dampak negatif yang terjadi adalah masyarakat juga sangat mudah membuka dan mengunduh konten-konten porno (negatif). Paper ini, membahas tentang sistem pengenalan citra porno melalui deteksi elemen genital pada suatu citra. Elemen genital dideteksi dengan metode template matching berbantuan teknik Fast Fourier Transform (FFT). Secara umum sistem pengenalan citra pornografi berhasil digunakan namun hasil kurang optimal dengan nilai persentase akurasi sebesar 61.6% pada jumlah data pengujian sebanyak 120 citra uji. Proses pengenalan citra pornografi dapat dilakukan dengan cepat (dengan waktu rata-rata 11.92 detik).

Studi Pengembangan Sistem Pengenalan Individu Sapi Berbasis Biometrik Muzzle Menggunakan Model Mobilenetv2: Study on the Development of Cattle Individual Recognition System from Muzzle Images Based on MobileNetV2 Model Giri Wahyu Wiriasto; Misbahuddin; Rachman, A. Sjamjiar; Iqbal, Muhamad Syamsu; Budiman, Djul Fikry; Akbar, Lalu Ahmad Syamsul Irfan; Hartawan, Bagi; Wicaksono, Eko Prasetyo
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 8 No 1 (2024): Juni 2024
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v8i1.594

In general, in cattle farming, individual identification is often done using text numbers on the cattle's ears, which is considered efficient. However, field observations reveal limitations of this technique, particularly in terms of data redundancy and new registration validation. Sometimes, errors can occur when cattle identity numbers are exchanged between the farm and the livestock market. Therefore, an intelligent biometric identification system attached to each cattle, such as the pattern on the muzzle, similar to human fingerprints, is needed. In this study, we collected and published primary cattle muzzle data as a dataset in a cloud repository. We also implemented the use of muzzle image data with a convolutional neural network algorithm in TensorFlow as a step for further development. The recognition implementation using the MobileNetV2 architecture resulted in an 83% accuracy rate for 30 individual cattle classes out of a total of 210 primary dataset divided into training and testing data.

Aplikasi Perhitungan Faktor Koreksi Kalibrasi Berbasis Android di Dinas Tenaga Kerja dan Transmigrasi Azegap, Syahrul; Akbar, Lalu Ahmad Syamsul Irfan
JEITECH (JOURNAL OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY) Vol. 2 No. 3 (2024): Edisi November 2024
Publisher : Depertment of Electrical Engineering University of Mataram

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This study focuses on developing an Android-based application to simplify the calculation of calibration correction factors for measuring instruments, specifically aiding the Department of Manpower and Transmigration in ensuring the accuracy of equipment used for workplace safety. The application addresses the limitations of manual calculations and suboptimal software by providing a user-friendly interface for inputting calibration data, automatically computing correction factors, and storing calculation histories. The development process includes planning, designing, algorithm implementation in Kotlin, application development in Android Studio, and comprehensive testing for functionality and usability. The results demonstrate that the application enhances efficiency, accuracy, and consistency in the calibration process, which is vital for maintaining high safety standards. User feedback indicates high satisfaction with the application's ease of use and reliability. Moving forward, the application is expected to make significant contributions to calibration, with ongoing updates to meet evolving user needs, thereby reinforcing the collaboration between educational institutions and industry while promoting quality standards in various sectors.

Aplikasi Perhitungan Faktor Koreksi Kalibrasi Berbasis Android di Dinas Tenaga Kerja dan Transmigrasi Azegap, Syahrul; Akbar, Lalu Ahmad Syamsul Irfan
JEITECH (JOURNAL OF ELECTRICAL ENGINEERING, INFORMATION TECHNOLOGY, CONTROL ENGINEERING, AND ROBOTIC) Vol. 2 No. 3 (2024): Edisi November 2024
Publisher : Depertment of Electrical Engineering University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study focuses on developing an Android-based application to simplify the calculation of calibration correction factors for measuring instruments, specifically aiding the Department of Manpower and Transmigration in ensuring the accuracy of equipment used for workplace safety. The application addresses the limitations of manual calculations and suboptimal software by providing a user-friendly interface for inputting calibration data, automatically computing correction factors, and storing calculation histories. The development process includes planning, designing, algorithm implementation in Kotlin, application development in Android Studio, and comprehensive testing for functionality and usability. The results demonstrate that the application enhances efficiency, accuracy, and consistency in the calibration process, which is vital for maintaining high safety standards. User feedback indicates high satisfaction with the application's ease of use and reliability. Moving forward, the application is expected to make significant contributions to calibration, with ongoing updates to meet evolving user needs, thereby reinforcing the collaboration between educational institutions and industry while promoting quality standards in various sectors.

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