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Optimasi Protokol LEACH Untuk Meningkatkan Stabilitas Pada Wireless Sensor Network Ahmad Ridwan; Rian Ferdian; Rahmadi Kurnia
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Wireless sensor networks (WSNs) are small devices that are run by batteries as minimal energy resources. The cluster method is one of the ways on WSN that is widely applied to the routing protocols to extend the network's lifespan. Low-Energy Adaptive Clustering Hierarchy (LEACH) is a cluster-based protocol proven to increase energy efficiency in sensor networks. However, LEACH also has disadvantages such as a selection of cluster heads that don't consider residual energy at every node. It is the cause of failure in the election process and affects the stability of the network cluster. Period network stability is essential as reliable feedback from a network. Therefore, this study tries to investigate and solve stability problems in the LEACH algorithm. In this paper, the authors propose a new protocol that is Optimization-LEACH (O-LEACH), which is the development of the LEACH protocol. The O-LEACH protocol cluster-head selection process is developed based on the initial energy of each node, and a new beginning energy levels calculated from each node to every round. The test results show that the proposed O-LEACH protocol has a better stability period and network lifetime than the LEACH protocol.

Skin and Clothes Matching Seeded by Color System Selection Rahmadi Kurnia; Meza Silvana; Ikhwana Elfitri
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2015
Publisher : Institute of Advanced Engineering and Science

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

This work has designed an automated system to recommend clothe for people based on their skin. Skin colors from various races were relate with a variety of clothing colors to obtain their harmonization value. This research involve 30 respondents through questionnaire to provide initial views to a variety of colors to match the skin color variation. Input from the respondents is then analyzed to choose the right color system to be linked with skin color. To determine the relationship between skin color and clothes color fuzzy logic rules were used. The system was then tested again to 30 respondents. The results showed that variations in skin color and clothing are best on a combination of Cr and Saturation. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7235

Penerapan Sel Surya sebagai Energi Listrik Alternatif di Alfi Hidroponik Padang Zaini Zaini; Heru Dibyo Laksono; Rahmadi Kurnia; Darwison Darwison; Darmawan Darmawan; Mumuh Muharram; Syarkawi Syamsuddin; Riko Nofendra; Muhammad Ilhamdi Rusydi
Jurnal Andalas: Rekayasa dan Penerapan Teknologi Vol. 1 No. 2 (2021): Desember 2021
Publisher : Jurusan Teknik Elektro, Universitas Andalas

Energi listrik adalah salah satu kebutuhan utama bagi usaha pertanian hidroponik. Mereka butuh untuk mengalirkan nutrisi tanaman melalui air secara terus-menerus menggunakan pompa. Jika sumber energi listrik terputus, maka akan menyebabkan tanaman tidak tumbuh sempurna. Oleh karena itu, pada kegiatan ini dilakukan penerapan sel surya sebagai energi listrik alternatif pada mitra pengabdian Alfi Hidroponik. Kegiatan dilaksanakan dengan merancang kebutuhan sel surya pada usaha hidroponik. Batrai Aki 40 Ah dapat menjadi sumber energi listrik bagi usaha mitra yang kebutuhan dayanya 85 watt selama minimal 10 jam. Selain penerapan sel surya, pada pengabdian ini juga dikembangkan beberapa sensor untuk memonitor suhu dan kelembaban lahan pertahian. Kegiatan ini dapat menjawab kebutuhan mitra dan masih diperlukan penerapan teknologi lainnya pada usaha hidroponik untuk optimalisasi produksi mitra.

The Implementation of Multilevel Colour Thresholding on a Prototype Coffee Machine Nova Resfita; Rahmadi Kurnia; Fitrilina Fitrilina
Journal of Science and Applicative Technology Vol 4 No 2 (2020): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v4i2.344

The development of computer vision has expanded widely as there is a vast number of its applications in various aspects of daily life. One of its implementations is integrating the image processing technique on a prototype coffee machine based on the speech recognition system. This study aims to detect the requested coffee colour spoken by users which are black, middle and light. The sensor used in this research is a digital PC camera and the applied method is Multilevel Colour Thresholding. Of all experiments conducted, the image processing technique can work perfectly as the camera is able to identify the requested colour of the coffee solution. Furthermore, the system might be developed by improving the multilevel colour thresholding technique as well as advancing the hardware design in order to establish more robust coffee machine based on the requested colour.

A review of Image Processing Technique for Monitoring The Growth and Health of Cows Zurnawita Zurnawita; Cipto Prabowo; Rahmadi Kurnia; Ikhwana Elfitri
JITCE (Journal of Information Technology and Computer Engineering) Vol 7 No 01 (2023): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.01.8-18.2023

In general, monitoring of animal growth and health is done directly by farmers (invasive measurement methods) which can cause cows to be injured or experience stress. To avoid this, several studies have been conducted on non-invasive methods using image processing technology. In this study, we systematically reviewed several works of literature to identify and synthesize published articles on image processing technology and image processing applications related to weight estimation and individual cattle identification. Analysis of image processing technologies used for weight estimation and individual cattle identification is the main objective of this article. Articles were searched through several databases and studies that met the inclusion criteria were analyzed and used in the review. The studies were divided into three main themes: image processing technologies, applications using image processing, and image processing research on cattle growth and health. It can be concluded that deep learning approaches are increasingly being studied, tested and considered as a viable and promising approach to monitor cattle weight and health in several aspects

Ultra Wideband (UWB) Multiple Input and Multiple Output (MIMO) Antenna Design : A Review Firdaus Firdaus; Rahmadi Kurnia; Ikhwana Elfitri
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 3 No. 1 (2023): May 2023
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v3i1.33

Since the Federal Communication Commission (FCC) issued a license for the 3.1 – 10.6 GHz frequency spectrum for unlicensed radio applications, many papers have been published regarding ultrawideband (UWB) antenna design. The issue of UWB antenna design is determining how to create an antenna with a wide bandwidth, capable of rejecting communication systems that coexist with UWB bands, and capable of designing UWB antennas for multiple input multiple output (MIMO) communication system applications. This study examines the design of UWB antennas with monopole and slot types based on evaluations published over the last two decades. The discussion began with UWB and MIMO systems and then moved on to the configuration of monopole and slot UWB antennas. UWB antenna layout with notched bands and the several types of notched bands available. Finally, two port and quad-port MIMO antenna configuration is examined. To further understand UWB antenna design, numerous UWB antenna configurations are simulated. The outcomes of this review can be utilized as preliminary reading material for researchers looking into UWB antennas.

Ultra Wideband (UWB) Multiple Input and Multiple Output (MIMO) Antenna Design : A Review Firdaus Firdaus; Rahmadi Kurnia; Ikhwana Elfitri
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 3 No. 1 (2023): May 2023
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v3i1.33

Since the Federal Communication Commission (FCC) issued a license for the 3.1 – 10.6 GHz frequency spectrum for unlicensed radio applications, many papers have been published regarding ultrawideband (UWB) antenna design. The issue of UWB antenna design is determining how to create an antenna with a wide bandwidth, capable of rejecting communication systems that coexist with UWB bands, and capable of designing UWB antennas for multiple input multiple output (MIMO) communication system applications. This study examines the design of UWB antennas with monopole and slot types based on evaluations published over the last two decades. The discussion began with UWB and MIMO systems and then moved on to the configuration of monopole and slot UWB antennas. UWB antenna layout with notched bands and the several types of notched bands available. Finally, two port and quad-port MIMO antenna configuration is examined. To further understand UWB antenna design, numerous UWB antenna configurations are simulated. The outcomes of this review can be utilized as preliminary reading material for researchers looking into UWB antennas.

Sistem Deteksi Objek Berbasis Pengolahan Citra Menggunakan Metode Diagram Venn Atika, Ratna; Kurnia, Rahmadi
Jurnal Ampere Vol. 9 No. 1 (2024): Jurnal Ampere
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/ampere.v9i1.14778

Penelitian ini bertujuan untuk mengembangkan sistem pendeteksian benda terhalang yang efektif dan efisien menggunakan metode diagram Venn. Sistem ini dirancang untuk membedakan objek yang terhalang dan terdistorsi, yang sulit dideteksi oleh komputer. Metode diagram Venn membagi situasi pendeteksian menjadi empat kategori berdasarkan kondisi objek acuan, warna dominan, dan posisi dominan. Sistem menghasilkan pertanyaan yang efektif dan efisien berdasarkan kategori tersebut, menghasilkan rata-rata 2 hingga 3 pertanyaan untuk mendeteksi objek, dibandingkan dengan 4 hingga 5 pertanyaan yang dibutuhkan manusia. Hasil penelitian menunjukkan bahwa sistem pendeteksian benda terhalang dengan diagram Venn lebih efektif dan efisien dibandingkan dengan metode manual. Sistem ini dapat membantu meningkatkan akurasi dan kecepatan deteksi objek dalam berbagai aplikasi, seperti pengenalan gambar, robotika, dan augmented reality.

Perbandingan Metoda Klasifikasi K-Nearest Neighbor dan Support Vector Machine pada Pengenalan Benda Terhalang berbasis Kode Rantai KURNIA, RAHMADI; ASMITA, MELIA; IHSAN, ROZAKY; ELFITRI, IKHWANA; HADI, DANANG KUMARA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 3: Published July 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i3.823

ABSTRAKBenda yang terhalang oleh benda lain memiliki bentuk yang tidak sempurna karena sebagian sisinya tidak terlihat. Untuk mengatasi permasalahan tersebut, digunakan metoda yang dapat mengenali bentuk pada benda pada sisi yang masih nampak. Penelitian ini membandingkan metoda klasifikasi K-Nearest Neighbor (KNN) dan Support Vector Machine (SVM) berbasis kode rantai untuk mendeteksi bentuk benda terhalang. Terdapat 15 sampel untuk lima bentuk bangun datar pada 2 jenis citra benda. Hasil untuk dua jenis citra, metoda KNN memiliki rata-rata ketepatan sebesar 89,6% sedangkan metoda SVM sebesar 88.4%. Waktu komputasi citra animasi menggunakan metoda SVM lebih cepat 0,044 detik dari pada metoda KNN dan lebih cepat 0,034 detik untuk citra riil. Rata-rata memori yang digunakan dengan metoda SVM pada citra animasi lebih sedikit 0,32 Mb dari pada metoda K-NN Pada citra riil rata-rata memori yang digunakan dengan metoda SVM lebih sedikit 0,44 Mb dari metoda K-NN.Kata kunci: transformasi Hough, kode rantai, bentuk benda, KNN, SVM ABSTRACTObject that are blocked by other objects have an imperfect shape because some of their side are not visible. To overcome this problem, we propose a comparison the K Nearest Neighbor classification (K-NN) and the Support Vector Machine (SVM) method based on chain code algorithm. We used 15 samples for each shape of the object for two kind of images. The result of KNN method classification has an average accuracy of 89,6%. The SVM method has an average accuracy of 88.4%. The average computing time for the SVM method is 0,044 seconds faster than KNN method for drawing image and 0,0034 seconds faster for real images, The average memory for drawing image using the SVM method is 0,32Mb less than K-NN. In the real images the average memory used with the SVM method is 0,44 Mb less than the K-NN.Keywords: hough transform, chain code, shape object, KNN, SVM

Compact Dual Port UWB MIMO Antenna with WLAN Band Rejection Firdaus, Firdaus; Ikhsan, Intan Aprillia; Kurnia, Rahmadi; Elfitri, Ikhwana
Jurnal Elektronika dan Telekomunikasi Vol 24, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.635

This research presents the design of a compact dual-port UWB MIMO antenna. The primary challenge in designing UWB MIMO antennas lies in achieving a low-frequency band of 3.1 GHz while maintaining a small size. By modifying the patch shape to a tapered configuration and incorporating an inset feed and a slit for WLAN notch band, a rectangular monopole patch antenna successfully overcomes these limitations. The MIMO configuration of this antenna achieves a wide UWB bandwidth of 3.1-12 GHz with a compact dimension of 20×28.5×1.6 mm. The antenna exhibits excellent characteristics, including low mutual coupling (-15 dB), maximum gain of 3 dBi, low ECC (<0.01), high diversity gain (<9.95), low TARC (< -20 dB), and nearly omnidirectional radiation pattern. These results demonstrate the suitability of the proposed antenna design for UWB applications.

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