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Sosialisasi Sistem Monitoring Kualitas Udara Menggunakan Komunikasi Multi-Hop di BMKG Stasiun Klimatologi Kelas I Palembang Mohammad Fadhli; Asriyadi Asriyadi; Irma Salamah; Lindawati Lindawati
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 2 No. 1: Januari 2023
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v2i1.1314

Abstract

Kualitas udara yang dihirup sehari-hari harus menjadi perhatian untuk dapat mencegah berbagai penyakit akibat pencemaran udara. BMKG merupakan badan negara yang salah satu tugasnya adalah memberikan informasi mengenai kualitas udara kepada masyarakat. Pada saat ini informasi tersebut dapat diakses oleh masyarakat melalui website dan aplikasi Android BMKG. Untuk dapat menyajikan data kualitas udara, maka dibutuhkan sistem jaringan sensor yang mampu membaca kualitas udara dengan akurat. Pada kegiatan pengabdian ini telah disosialisasikan suatu alternatif sistem monitoring kualitas udara yang menggunakan komuniaksi multi-hop berbasis LoRa kepada pihak BMKG Balai Klimatologi Kelas I Palembang selaku mitra. Kegiatan ini bertujuan untuk berbagi pengetahuan mengenai alternatif alat pemantau kualitas udara kepada mitra. Fitur yang ditawarkan diantaranya kemampuan membaca kualitas udara dari lima parameter yaitu: kandungan karbon dioksida, karbon monoksida, methane, partikulat serta kelembapan udara. Dari kegiatan pengabdian ini dapat diketahui bahwa mitra telah memahami cara kerja alat ini. Selain itu tim pengabdi juga mendapatkan berbagai masukan dari mitra untuk pengembangan alat ini. Dengan biaya pembuatan alat yang relatif murah diharapkan alat ini dapat digunakan oleh mitra sebagai alternatif penyajian informasi kualitas udara kepada masyarakat.
Sistem Monitoring Automated Weather Observing System (AWOS) Berbasis Android Studi Kasus BMKG Sultan Mahmud Badaruddin II Palembang Wynda Anggraeni Iskandar; Lindawati Lindawati; Mohammad Fadhli
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 11 No 02 (2021): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v11i02.595

Abstract

Weather is a condition of the air in a place in a short time taken from the results of measurements of weather parameters. In survival, weather conditions play a very important role in all activities. One of the activities that are highly dependent on weather conditions is aviation activities. So in this paper, a monitoring system is designed to monitor the measurement results from the Automated Weather Observing System (AWOS) or an automatic weather monitoring tool used to monitor the current weather intended for flights at Sultan Mahmud Badaruddin II Airport Palembang. In this study, the Automated Weather Observing System (AWOS) Monitoring System will be made an android-based website (mobile web) so that it is possible for users to access it anytime and anywhere. The design of this monitoring system uses the SDLC (System Development Life Cycle) method, which is an android-based web development system that adds or changes some of the existing systems. This mobile web will display measurement results from the Automated Weather Observing System (AWOS) and is designed to make it easier for BMKG observers to observe the current weather, whether it is stable or experiencing drastic weather changes. If the graph displayed in this application undergoes a significant change, this application will send a notification to e-mail regarding the current weather conditions.
SOSIALISASI PENGGUNAAN APLIKASI SURAT DIGITAL DI SMK BINA JAYA PALEMBANG Mohammad Fadhli; Asriyadi Asriyadi; Lindawati Lindawati; Salwa Kamila; M. Redho Ali Said
Jurnal Pengabdian Masyarakat Multidisiplin Vol 6 No 2 (2023): Februari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/jpm.v6i2.2982

Abstract

There are several problems if an institution issues a letter conventionally. A conventional letter uses signatures and stamps that are easily forged. Conventional systems are also considered inefficient in terms of time and cost. Bina Jaya Palembang Vocational School is an educational institution in Palembang that conducts correspondence as one of its administrative activities. This community service program aims to socialize digital mail applications that can help increase the efficiency of correspondence activities and prevent the forgery of letters. This activity was carried out by disseminating a research result in a digital letter application. The first stage of this socialization activity is the preparation stage, followed by the initial survey, the implementation of the service, and the reporting stage. This socialization activity leads to the conclusion that the participants can understand the importance of using this digital mail application and its procedures.
Internet of Things-Based Water Quality Monitoring and Automatic Feeding for Catfish Ponds Using Mamdani Fuzzy Logic Muhammad Gian Azzra Ramadhan; Ahmad Taqwa; Mohammad Fadhli
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 3 (2026): Juni 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i3.9857

Abstract

Manual water-quality monitoring and schedule-based feeding may delay responses to unsuitable pond conditions and lead to inappropriate feed dispensing in catfish cultivation. This study developed an Internet of Things (IoT)-based monitoring and automatic feeding system that evaluates water temperature and pH using Mamdani fuzzy inference. The prototype integrates an ESP32 microcontroller, temperature and pH sensors, an ultrasonic sensor for feed-level monitoring, and a servo motor for feed dispensing. Temperature and pH measurements are classified into five linguistic categories and evaluated through a 25-rule base to produce a binary Feed ON or Feed OFF decision. Sensor validation yielded accuracies of 95.52% for temperature measurement, 95.87% for pH measurement, and 95.97% for ultrasonic distance measurement. Validation using five representative input combinations showed that all program outputs matched the expected rule-base decisions, resulting in 100% decision conformity for the tested cases. During seven days of field monitoring, all 21 evaluations conducted at 09:00, 15:00, and 21:00 produced Feed ON because the paired temperature and pH measurements satisfied the minimum rule-base requirements. Web and mobile dashboards displayed sensor measurements, feed availability, device status, operating mode, and feeding activity in real time. The main contribution is a compact and interpretable mechanism that performs condition-based feeding decisions locally on the ESP32 while supporting remote supervision through IoT interfaces. The results indicate adequate sensor performance and consistent fuzzy decision implementation under the tested conditions.
Real-Time Lightweight Monitoring System for 5G Standalone Networks Using MQTT and Node-RED Muhammad Juan Farza Rafly Alganiyu; Sopian Soim; Mohammad Fadhli
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 10 No. 1 (2026): Issues July 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v10i1.18144

Abstract

The rapid development of 5G Standalone networks requires a monitoring system capable of operating in real time while maintaining efficient computational resource utilization. This study aims to design and implement a lightweight monitoring system based on Message Queuing Telemetry Transport and Node-RED for a Universal Software Radio Peripheral B210-based 5G Standalone infrastructure. The proposed system applies a publish/subscribe communication architecture in which telemetry data are distributed through Message Queuing Telemetry Transport and visualized using a Node-RED dashboard interface. The research environment utilizes Open5GS and srsRAN to generate and monitor network parameters in real time. The results demonstrate that the developed monitoring system is capable of displaying telemetry information responsively with stable data transmission performance and low computational overhead. In addition, the lightweight telemetry architecture successfully supports centralized monitoring without significantly affecting the operational performance of the main system. Therefore, the proposed approach can be considered an effective alternative solution for supporting efficient and real-time operational monitoring in Software Defined Radio-based 5G Standalone environments
Link Budget Prediction at 28 GHz Frequency Based on Rain Attenuation Model in Palembang City Tarnita Rizky Prihandhita; Sopian Soim; Mohammad Fadhli
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/apvf0b18

Abstract

5G communication technology brings a major leap in the development of wireless networks, especially through the utilization of millimeter wave frequencies. However, mmWave signals are very susceptible to rain attenuation, which can significantly reduce the quality of 5G services. This study aims to estimate how much signal loss and reception power there will be for 5G at a frequency of 28 GHz in Palembang City and to examine how rain affects the mmWave signals. MATLAB simulations use Palembang rainfall data for the March 2025 period and use the ITU-R P.618-5 rain attenuation model, Simple Attenuation Model, and ITU-R Tropical. Using the Urban Macro propagation scenario in line-of-sight and non-line-of-sight conditions. The results show that distance and rainfall affect signal attenuation, with NLOS conditions producing worse attenuation than LOS. At high rainfall of 84.5 mm/hour in NLOS conditions, ITU-R P.618-5 predicts the highest total path loss of about 317 dB, ITU-R Tropical about 247 dB, and SAM about 227 dB. With the received power of ITU-R P.618-5 model of -260 dBm, ITU-R Tropical of -190 dBm, and SAM of -170 dBm.
K-Means Algorithm Implementation for IoT-Based Early Fire Detection in Oil Palm Plantations Tri Binarko Utomo; Suroso; Mohammad Fadhli
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/9xjpmv81

Abstract

Oil palm plantation fires continue to be a significant problem, significantly impacting the environment, public health, and economic activity. By combining the K-Means algorithm, processed directly on an ESP32 microcontroller, with an Internet of Things (IoT)-based early detection system, this research has produced an innovation that does not require an external server. To monitor hazardous gases, smoke, and temperature, the system uses thermocouples and MQ-2 and MQ-135 sensors. Conditions are then categorized into Safe, Alert, and Fire. Using 15 test data samples, the evaluation was conducted in the field, specifically in the oil palm plantation area in Banyuasin, South Sumatra. The test results showed that the classification had 100% accuracy. However, the limited amount of data was one of the obstacles to this study, so additional testing is needed to ensure the accuracy of the large-scale study. This system is suitable for remote and limited infrastructure, helping to develop effective and responsive early fire detection technology.
Yagi-Uda Antennas for Private LTE Band 3 FDD: Simulation, Fabrication, and Measurement Muhammad Rizko Justiano; Aryanti Aryanti; Mohammad Fadhli
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 2 (2026): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i2.4168

Abstract

Private LTE Band 3 Frequency Division Duplex (FDD) systems require dedicated uplink and downlink antennas to improve channel isolation and communication reliability. However, experimentally validated split-frequency Yagi-Uda antennas for Software Defined Radio (SDR)-based base stations remain limited. This study presents the design, simulation, fabrication, and experimental validation of two four-element Yagi-Uda antennas operating at 1.840 GHz for downlink (DL) and 1.750 GHz for uplink (UL). Each antenna consists of one reflector, one driven element, and two directors fabricated from 6 mm diameter aluminum rods. The antenna dimensions were optimized using the Trust Region Framework in CST Studio Suite 2024 to achieve optimal impedance matching. Simulation results produced S11 values of −35.33 dB (DL) and −30.76 dB (UL), VSWR values of 1.035 and 1.059, and forward gains of 9.10 dBi and 8.38 dBi, respectively. Measurements using a NanoVNA over the 1.4–2.1 GHz frequency range yielded S11 values of −18.98 dB (DL) and −26.92 dB (UL), with corresponding VSWR values of 1.253 and 1.094. The measured resonant frequencies closely agreed with the simulation results, with a maximum deviation of only 1 MHz. The novelty of this work lies in the experimental validation of a low-cost, split-frequency, four-element aluminum-rod Yagi-Uda antenna pair that operates without an external impedance-matching network. These results demonstrate the suitability of the proposed antennas for SDR-based Private LTE Band 3 base station applications.
An Internet of Things-Based Drinking Water Quality Monitoring Using Support Vector Machine and Support Vector Regression Dea Putri Amanda; Lindawati; Mohammad Fadhli
INSERT : Information System and Emerging Technology Journal Vol. 7 No. 1 (2026)
Publisher : Information System Study Program, Faculty of Engineering and Vocational, Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/insert.v7i1.117294

Abstract

Drinking water quality monitoring is essential to ensure compliance with water quality standards and protect public health. However, conventional monitoring methods often relied on periodic inspections and laboratory testing, making continuous supervision difficult. This study aimed to develop an Internet of Things-based drinking water quality monitoring system integrated with machine learning to classify water quality and predict the remaining filter lifetime. The system utilized pH, turbidity, and Total Dissolved Solids sensors connected to an ESP32 microcontroller for real-time data acquisition. Measurement data were transmitted, stored in a MySQL database, and processed using Support Vector Machine for water quality classification and Support Vector Regression for filter lifetime prediction. Machine learning models were evaluated using metrics for classification and regression, while sensor performance was tested by comparing measurement results with reference equipment. The results show that the developed sensors achieve average error values of 3.94% for pH, 5.26% for turbidity, and 1.82% for Total Dissolved Solids measurements. The Support Vector Machine model achieves an accuracy of 94.85% in classifying water quality, while the Support Vector Regression model obtains low prediction errors and a coefficient of determination of 0.9977. The integrated system successfully performs real-time monitoring, water quality classification, and filter lifetime prediction. These findings indicate that the proposed system provides an effective approach for drinking water quality monitoring and predictive filter maintenance.
AVX2 SIMD Optimization for DSP Load and QoS in a srsRAN-Based Private LTE Network Muhammad Arcy Alfaathir; Sopian Soim; Mohammad Fadhli; Achmad Aflah Jamazy
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 2 (2026): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i2.4147

Abstract

Private 4G LTE networks built on open-source platforms provide cost-effective localized connectivity. However, executing baseband Digital Signal Processing (DSP) imposes a massive computational burden on general-purpose CPUs. This study evaluates the correlation between DSP load and end-to-end Quality of Service (QoS) in a USRP B210-based Private 4G LTE prototype using srsRAN and Open5GS. To prevent CPU saturation, Advanced Vector Extensions 2 (AVX2) SIMD instructions and CPU core affinity were applied. The experimental design evaluated the system using two concurrent User Equipment (UEs) under Line-of-Sight (LOS) outdoor conditions. Compared to a non-optimized baseline, the AVX2 optimization successfully stabilized the host processor at a 60.8% peak load and achieved a downlink throughput of 35.3 Mbps without radio underflows. However, multiplexing complex baseband signals under heavy concurrent traffic severely congested the OS-level queues. This caused severe bufferbloat, escalating the average end-to-end latency to 2021 ms compared to its idle state. These findings demonstrate that while AVX2 optimization resolves the CPU bottleneck, software-induced bufferbloat remains the primary limitation in SDR deployments.