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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro JUSTIN (Jurnal Sistem dan Teknologi Informasi) Aceh International Journal of Science and Technology PESARE: Science and Engineering Service Journal
Adriman, Ramzi
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Public Health Other

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Analisis Performansi Protokol Routing Vehicular Network Menggunakan Algoritma Ant Colony Jamak Sayuti, Muhammad; Adriman, Ramzi; Nasaruddin, Nasaruddin
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 9, No 2 (2021)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.958 KB) | DOI: 10.26418/justin.v9i2.44273

Abstract

Pengembangan teknologi jaringan ad-hoc disebut Vehicular Ad-hoc Network (VANET).  VANET terbentuk dari kumpulan node yang menggunakan antarmuka nirkabel untuk dapat melakukan komunikasi antara satu node dengan node lainnya. Penelitian ini, membangun sebuah protokol routing dengan menggunakan algoritma Ant Colony yang diberi nama (ANTC), dimana akan dibandingkan dengan routing protokol Ad-Hoc On-Demand Distance Vector (AODV) untuk melihat performansi dari masing – masing routing protocol. Proses routing AODV dengan membentuk sebuah pergerakan dari satu node sumber ke node tujuan berdasarkan pada permintaan node sumber tersebut. Sedangkan proses routing ANTC, setiap node menyimpan memori yang berisi informasi pergerakan pada setiap node yang diketahuinya, informasi pergerakan akan diperbaharui secara berkala jika terjadi perubahan link. Parameter kinerja routing protokol yang diukur berupa Latency dan Througphut. Hasil yang diperoleh pada penelitian ini adalah routing protokol ANTC unggul pada nilai parameter Latency dengan nilai rata-rata 16,8 s  dan Througphut  dengan nilai rata-rata  87,758 Kbps.
Analysis of the Best Neural Network Configuration for Predicting Household Customer Kwh Sales in Banda Aceh City Bachtiar, Bachtiar; Tarmizi, Tarmizi; Adriman, Ramzi
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 8, No 2 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i2.22017

Abstract

Energy consumption (kWh) is critical to the operation of electrical systems. Predictive modeling optimizes energy usage, increasing power system efficiency. This study created an artificial neural network (ANN) architecture to estimate energy consumption (kWh) for home users in Banda Aceh. The ANN topology consisted of 5 input layers, 5-25 hidden layers, and one output layer. This study used two scenarios: first, the ANN topology was trained using the logsig activation function, and then the tansig activation function was used for training. Based on training simulations, the ANN architecture with 5 input layers, 5 hidden layers, and 1 output layer has the lowest Mean Squared Error (MSE) of 0.00035. The next phase involved testing this ANN topology. The next stage is to analyze the ANN architecture with 5 input layers, 5 hidden layers, and 1 output layer using the testing technique. Based on the testing technique, the ANN architecture with 5 input layers, 5 hidden layers, and 1 output layer had a MAPE value of 3.34%.
Accumulator-free Hough Transform for Sequence Collinear Points Kurniawan*, Rudi; Fuadi, Zahrul; Adriman, Ramzi
Aceh International Journal of Science and Technology Vol 10, No 2 (2021): August 2021
Publisher : Graduate School of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.10.2.20894

Abstract

The land requirement for Putri Betung Sub District in Gunung Leuser National Park (GLNP) area kept increasing along with the population growth. The population density in the Putri Betung Sub-district was driven by the need for cultivation and residential area along the GLNP conservation boundary. This study aims to analyze the space adequacy for Putri Betung Sub-District in the GLNP area based on the population pressure prediction for 20 years. The research method was conducted by field survey using remote sensing, interviewed the residents, and analyzed the population pressure index using the Soemarwoto formula. ThePopulation Pressure Index (PPI)forthe cultivation area was determined from 13 villages in Putri Betung Subdistrict and shows that 12 villages had a PPI 1 value (population pressure was over the land carrying capacity limits). Only one village had PPI 1 (population pressure less than the land carrying capacity. Based on data surveys obtained, the cultivation area set in the Putri Betung area was no longer sufficient for population, resultingfrom the expansion in the GLNP area of 4,776.97 ha. Meanwhile, predictive analysis on space adequacy for people living decently in Putri Betung Sub District for 20 upcoming years is 6117.15 ha. In conclusion, 12 out of 13 villages in the Putri Betung SubDistrict havePPI 1 value, which is inversely proportional to the land carrying capacity. The PPI values could result in other pressures on the ecology and biodiversity conservation in National Park. It is suggested that the government need to surpassthe pressure by making new policy on peoples resettlement, expanding the cultivation area, or shifting people's livelihoods.
Pengaruh Link Relay Terhadap Kinerja Komunikasi Kooperatif Vehicle-to-Vehicle (V2V) MUHARRAM, ISNAN; ADRIMAN, RAMZI; NASARUDDIN, NASARUDDIN
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 10, No 1: Published January 2022
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i1.90

Abstract

ABSTRAKKebutuhan komunikasi bergerak saat ini sangat tinggi, Vehicular Ad-hoc Network (VANET) merupakan metode teknologi telekomunikasi untuk komunikasi bergerak pada kendaraan. Penelitian ini dilakukan untuk mendapatkan metode terbaik dari komunikasi bergerak pada kendaraan dengan mempertimbangkan pengaruh Kecepatan kendaraan dan fading terhadap kinerja jaringan. Metode yang digunakan pada paper ini menggunakan jaringan single-relay yang disimulasikan menggunakan software MATLAB. Parameter kinerjanya adalah Bit Error Rate (BER) dan throughput untuk jaringan sistem komunikasi kooperatif Vehicle to Vehicle (V2V) dengan kondisi link relay Line of Sight (LOS) dan Non Line of Sight (NLOS). Kemudian, modulasi 16-QAM, 32-QAM dan 64-QAM digunakan untuk menguji parameter tersebut. Hasil simulasi menunjukkan bahwa kinerja sistem komunikasi kooperatif V2V dengan modulasi 16-QAM lebih baik dibandingkan 32-QAM dan 64-QAM untuk kondisi LOS dan NLOS. Sehingga usulan penelitian ini dapat menjadi solusi untuk perkembangan sistem komunikasi kooperatif V2V.Kata kunci: VANET, V2V, Link relay, Bit Error Rate (BER), Throughput. ABSTRACTThe need for mobile communication is currently very high; vehicular Ad-hoc Network (VANET) is the telecommunications technology method for mobile communication in vehicles. This research was conducted to obtain the best mobile communication method in vehicles by considering the effect of vehicle speed and fading on network performance. The method used in this paper uses a single-relay network which is simulated using MATLAB software. The performance parameters are Bit Error Rate (BER) and Throughput for the Vehicle to Vehicle (V2V) cooperative communication system network with Line of Sight (LOS) and Non-Line of Sight (NLOS) link relay conditions. Then, 16-QAM, 32-QAM, and 64-QAM modulations were used to test these parameters. The simulation results show that the performance of the V2V cooperative communication system with 16-QAM modulation is better than 32-QAM and 64-QAM for LOS and NLOS conditions so that this research proposal can be a solution for the development of a V2V cooperative communication system.Keywords: VANET, V2V, link relay, Bit Error Rate (BER), Throughput.
Sistem Pemantau dan Pengaman Hama Babi Hutan Berbasis IoT pada Lahan Ubi Kayu di Jantho Baru - Aceh Besar Adriman, Ramzi; Afdhal, Afdhal; Umran, Munzir; Lessy, Dien Taufan; Fonna, Syarizal
PESARE: Jurnal Pengabdian Sains dan Rekayasa Vol 3, No 1 (2025): Februari 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/pesare.v3i1.44814

Abstract

Wild boars pose a significant threat to cassava farmers in the Jantho Baru area, Aceh Besar district, as they can reduce agricultural productivity. The region's location in hilly terrain near a protected forest makes this challenge unavoidable. An initial assessment with farmer groups (partners) identified the need for a monitoring and protection system to manage wild boar infestations in cassava farms. The partner's land, situated 42 km from the Faculty of Engineering, Universitas Syiah Kuala, spans 5 hectares in a hilly area adjacent to the protected forest.To address this issue, an IoT-based technology solution is proposed for monitoring and safeguarding cassava farms. This system includes video cameras that allow farmers to remotely monitor their land via smartphones. Additionally, security measures such as electric fences and speaker outputs, controlled through an Android-based mobile application, are implemented. The system is powered by renewable solar energy through the use of solar panels. The application of this technology is expected to reduce crop losses caused by wild boars, ultimately improving farm productivity.
Deteksi biji kakao kering dan basah menggunakan Convolutional Neural Network Muhammad Khalis Fikri; Adriman, Ramzi; Roslidar Roslidar; Syahrial
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 1: March 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n1.1178.2025

Abstract

Energy generated from photovoltaic (PV) systems is often wasted, with about 80% converted to heat and only 20% converted to electricity. This indicates the need for further research to improve the energy conversion efficiency in PV systems. This study aims to analyze the cell efficiency and power generation in a photovoltaic-thermal (PVT) system with variations in nano-encapsulated phase change material (NEPCM) concentration and reservoir thickness. The developed PVT configuration includes a photovoltaic cell layer, a thermal paste layer, a reservoir wall, and a channel filled with nanofluid containing NEPCM surrounded by a protective shell.  The research method involves simulation using the Finite Element Method to measure system performance regarding energy conversion efficiency, with encapsulated PCM concentration variations at 2%, 10%, and 20%. Additionally, the laminar flow velocity used is 0.5 m/s under steady-state conditions, and the thickness of the PCM material used is 1 mm and 15 mm. The results show that increasing the NEPCM concentration by 5% can improve the electrical and thermal performance of the system by more than 50%. In addition, variations in reservoir thickness also contribute to the overall efficiency. This study concludes that the proposed PVT configuration can improve energy efficiency and optimize thermal management in the system, making it an effective solution for developing renewable energy technologies. Thus, implementing NEPCM in PVT systems can significantly contribute to overall energy efficiency.
Evaluation of PDKB Performance's Impact on SAIDI SAIFI at PT. PLN UP3 Langsa Is, Muhazir; Tarmizi, Tarmizi; Adriman, Ramzi
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 1 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v9i1.25467

Abstract

The reliability of the electricity distribution system is essential to ensure continuous service to consumers. Maintenance is necessary to uphold this reliability. However, on the SUTM (Medium Voltage Overhead Line) network, maintenance often requires power outages, causing losses for both consumers and the company due to undelivered electrical energy (kWh). This study aims to analyze the SAIDI and SAIFI values, as well as the amount of kWh before and after implementing PDKB (Live Line Maintenance) at PT PLN (Persero) UP3 Langsa. The research uses a quantitative descriptive method with data collected through observation and analysis of kWh, SAIDI, and SAIFI metrics. The results show that PDKB-based maintenance saved 1,457,823.97 kWh with a financial gain of Rp. 1,135,391,541.48. The SAIDI and SAIFI values were 819.456 minutes/customer and 9.29 times/customer, respectively. In contrast, maintenance without PDKB resulted in a loss of 3,921,103.2 kWh or Rp. 3,136,882,560, with higher SAIDI and SAIFI values of 1533.84 minutes/customer and 10.04 times/customer. These findings indicate that lower SAIDI and SAIFI values reflect improved service quality, enhancing the company’s image and reducing losses from power distribution interruptions
Implementasi bayessian regularization neural network pada model prediksi beban listrik jangka pendek di kota Langsa Fauzi, Ahmad; Tarmizi; Adriman, Ramzi
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 2 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/b7mnv944

Abstract

The accuracy level of the artificial neural network method in electricity load prediction models remains a focus for research. One area for improvement in artificial neural network electricity load prediction models is an occurrence potentially of overfitting. Overfitting occurs when the artificial neural network topology fails to produce the desired output values. Overfitting in the neural network topology affects the accuracy of the electricity load prediction model. This research aims to develop a Bayesian regularization algorithm for neural network topology to create an electricity load prediction model for the city of Langsa. The research results indicated that the Bayesian regularization algorithm is effective in minimizing the potential for overfitting in the neural network topology. Bayessian regularization algorithm had MAPE value is 2.45 %.
Co-Authors Afdhal Afdhal Bachtiar Bachtiar Fauzi Ahmad Muda Fonna, Syarizal Is, Muhazir Kurniawan*, Rudi Lessy, Dien Taufan Muhammad Khalis Fikri MUHARRAM, ISNAN Nasaruddin Nasaruddin Roslidar Roslidar Sayuti, Muhammad Syahrial Tarmizi Tarmizi Tarmizi Umran, Munzir Zahrul Fuadi