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Stadium Coverage Using Directional Antennas for High Density Access Points Based on Narrow HPBW Hasdi Radiles; Sutoyo Sutoyo; Dio Alam Pratama; Ahmad Faizal
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 10 No 2 (2023): List of the Accepted Article for Future Issues
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v10i2.4119

Abstract

The existence of a Wi-Fi network in the stadium is an important issue because of the many requests for communication access from spectators. Implementation of HD-AP Wi-Fi using directional antennas is one solution to avoid severe interference. This study simulates the coverage of the AP installed on the roof of the tribune station. The simulator is designed using HPBW Elevations 200, 400 and 600. Testing also considers the use of the appropriate transmit power, to obtain the appropriate HPBW combination to avoid interference. The analysis is carried out by comparing the reception of the strongest signal with reception at the sector border. The results of the study show that Antenna directional with HPBW Elevation 400 is more effective in serving users in three service sectors.
Optimization of 4G LTE Network with Automatic Cell Planning and Carrier Aggregation Methods Sutoyo Sutoyo; Teddy Purnamirza; Mulyono Mulyono; Ahmad Faizal
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4143

Abstract

The implementation of 4G LTE in Indonesia still faces numerous challenges, particularly in terms of coverage areas that are less than optimal, causing many areas to be classified as bad spots. One of them is Koto Baru Payobasung area, Payakumbuh. Network optimization is one method for overcoming this problem. In this study, we will use optimization techniques such as Automatic Cell Planning (ACP) and Carrier Aggregation (CA) with RSRP, SINR, and Throughput parameters. Through existing simulations, the results of the initial research revealed that two of the three parameters, namely RSRP and Throughput, were classified as very bad conditions. Based on the results of optimization using the ACP technique, it was discovered that there was an increase in the RSRP value of = -103 dBm, SINR of = 2 dB, and Throughput = 15 mbps. The RSRP value for the CA technique is -90 dBm, the SINR is 7 dB, and the throughput is 50 mbps. Because of the value of the optimization parameter results, the CA technique is more effective than the ACP technique in these two optimization techniques
Performance of High-Gain Observer (HGO) For Level Estimation in Continuous Stirred Tank Reactor (CSTR) Dian Mursyitah; Ahmad Faizal; Zulfatri Aini
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4497

Abstract

This paper presents an estimation of level in CSTR system. Due to the non-linearity in the model of the CSTR system, our focus is on observers capable of handling this non-linearity. We proposed to use a High Gain Observer (HGO) for performing level estimation. The desired characteristics for estimation include minimal error, fast convergence time, and robustness in the presence of noisy measurements. A comprehensive analysis of the observers, including the evaluation of their effectiveness and robustness, is presented through simulation
Reliability Analysis of Steam Turbine Instrumentation Using the Failure Mode and Effect Analysis (FMEA) Method at PT. PLN Nusantara Power UP Tenayan Anzhar Devalma; Jufrizel Jufrizel; Aulia Ullah; Ahmad Faizal
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4504

Abstract

PT. PLN Nusantara Power Unit Generation Tenayan is a company operating in the Steam Power Plant sector in Pekanbaru, Indonesia. One of the main components of a steam power plant (PLTU) is a steam turbine. A steam turbine is a machine that functions to convert kinetic energy into electrical current. Operational failures are often caused by less than optimal instrumentation in the steam turbine. This research uses the failure mode and effect analysis (FMEA) method with the aim of identifying the type of failure, the cause of the failure, the effect of the failure, and determining the RPN value. The analysis results from this research show that the turbine instrumentation components still meet performance standards because the risk priority number (RPN) value is less than 200. The conclusion from this research is that errors in steam turbine instrumentation are inaccurate sensor readings, switches cannot deactivate the equipment, and readings control room does not match local readings, the instrumentation component with the highest risk priority number (RPN) is the solenoid valve with a value of 140, and the instrumentation component with the lowest risk priority number (RPN) is the pressure indicator with a value of 30. The component given top priority in action The recommendation is for the solenoid valve component, namely to carry out maintenance every 6 months and add an overspeed protection system
OPTIMALISASI BIAYA PERSEDIAAN BAHAN BAKU BROWNIES MENGGUNAKAN METODE SILVER MEAL DAN MARKOV CHAIN Wirdatun Nisfi; Elfira Safitri; Rahmadeni Rahmadeni; Ahmad Faizal
MAp (Mathematics and Applications) Journal Vol 8, No 1 (2026)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/map.v8i1.12432

Abstract

Mona Cake Shop is one of the cake shops in Rumbio Village, Kampar District, Kampar Regency, Riau Province. Mona Cake Shop is often faced with problems that occur, namely insufficient or excess raw material supplies so that the production process does not run well. This study aims to determine the result of optimizing the cost of brownies raw material inventory using the Silver Meal and Markov Chain methods. The method used is this study are the Silver Meal and Markov Chain methods. The Silver Meal method is one method that can solve a problem optimally and simply. The Markov Chain method can future raw material inventory costs. Based on the of the study using two methods, it was obtained that the processing result using the Silver Meal method were much more optimal than the Markov Chain method. Where the cost of raw material inventory in the Silver Meal method id while in the Markov Chain method it is .So it can be seen the most optimal result are using the Silver Meal method.The purpose of this study is to analyze and optimize the inventory costs of brownie raw materials at Mona Cake Shop located in Rumbio Village, Kampar Regency, Riau Province. The problem often faced by the shop is the imbalance in the amount of raw material inventory, namely the occurrence of shortages or excess inventory which causes increased storage costs and disruptions to the production process. This study uses the Silver Meal method to determine the optimal raw material ordering policy and the Markov Chain method to predict inventory conditions in the coming period. The results show that the total cost of raw material inventory using the Silver Meal method is Rp 56,310,388.65 while the Markov Chain method is Rp 107,566,512.71. Based on these results, it can be concluded that the Silver Meal method is more efficient in minimizing raw material inventory costs than the Markov Chain method at Mona Cake Shop
Performance Analysis of Position Estimation in a Quarter-Car Suspension System Using Kalman-Bucy as a State Observer Dian Mursyitah; Ahmad Faizal; Putut Son Maria; Hilman Zarory; Alpin Adriansyah
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 1, February 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i1.2433

Abstract

This study explores the implementation of the Kalman-Bucy observer for state estimation in a quarter-car suspension system operating under various real-world conditions. The research focuses on evaluating the observer’s performance in the presence of road surface disturbances, such as speed bumps, humps, and potholes, combined with stochastic noise and parameter variations. To test its robustness, the system is subjected to Gaussian white noise with an intensity of 10% in both the process and measurement signals. A sensitivity analysis is also carried out by varying the vehicle mass between 400 kilograms under unloaded conditions and 600 kilograms when fully loaded, thereby simulating different passenger and cargo scenarios. Simulation results demonstrate that the Kalman-Bucy observer consistently provides accurate and stable estimations of vehicle position, even in noisy and dynamically changing environments. The observer achieves a Root Mean Square Error (RMSE) of 3.3885 × 10⁻⁵ m, indicating near-perfect estimation accuracy. When integrated into a PID control framework, the proposed observer significantly improves system performance by reducing rise time from 9.76 s to 0.16 s, decreasing undershoot from −0.22 m to −0.15 m, and maintaining a similar settling time of approximately 25 s. Overall, the Kalman-Bucy observer proves to be a reliable and efficient method for state estimation and control enhancement in active suspension systems, showing strong potential for real-world automotive applications.