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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknologi Informasi dan Ilmu Komputer ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Sistemasi: Jurnal Sistem Informasi Praxis : Jurnal Sains, Teknologi, Masyarakat dan Jejaring Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali KURVATEK Teknika Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Jurnal Rekayasa elektrika
Budi Bayu Murti
Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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An ANALYSIS OF DVB-T2 TV BROADCAST TESTING DRIVE TEST AND FIELD STRENGTH METHODS IN THE JAKARTA SERVICE AREA Zebua, Nifesrianto; Murti, Budi Bayu
KURVATEK Vol 9 No 1 (2024): Energy Management and Sustainable Environment
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/krvtk.v9i1.4898

Abstract

Indonesia has adopted DVB-T2 as the technology standard for terrestrial digital television broadcasting. This research aims to test and analyze the reception quality of DVB-T2 TV broadcasts in the DKI Jakarta service area. The research was conducted using drive test and field strength methods to test and evaluate the quality of digital television broadcasts. Tests were conducted in various locations in the DKI Jakarta service area using the Gsertel Hexylon TV Analyzer technical device to test DVB-T2 TV broadcast signals. The field strength test results were more accurate and higher values were generated than the drive test. Several parameters such as signal level and MER are evaluated and analyzed to find out what affects their values. The transmitter parameter settings such as modulation, FEC code rate, FFT Mode, Guard Interval, and Pilot Pattern greatly affect the signal level and MER values. The optimization performed on CH 24 also managed to maintain its signal level value of 18.19 dB and its MER of 55.01 dBµV to maintain broadcast stability during a technical failure of the transmitter on CH 1.
Kendali Logika Fuzzy pada Car Like Mobile Robot (CLMR) Penjejak Garis FAHMIZAL, FAHMIZAL; MURTI, BUDI BAYU; PRATAMA, DONNY BUDI; MAYUB, AFRIZAL
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 6, No 3: Published September 2018
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v6i3.451

Abstract

ABSTRAKMakalah ini memaparkan perancangan sistem kendali logika fuzzy untuk mengatur kecepatan dan arah sudut steering pada car like mobile robot (CLMR) dengan menggunakan metode Ackermann steering. CLMR penjejak garis dirancang menggunakan 16 buah photodiode, dan terdapat 7 buah membership fuzzfikasi dari pembacaan error dan last error sehingga terbentuk 49 aturan. Untuk menguji perfoma kendali fuzzy pada sistem CLMR dalam mengikuti lintasan garis maka dilakukan pengujian dengan bentuk lintasan berupa garis lurus dan berbelok serta zig-zag dalam satu lintasan putar. Proses variasi nilai keanggotaan fuzzifikasi masukan dan defuzzifikasi keluaran dilakukan sebanyak lima kali. Dari hasil pengujian diperoleh bahwa kendali logika fuzzy yang diaplikasikan pada sistem mampu membuat pergerakan CLMR sukses mengikuti lintasan uji selama 9,38 detik lebih baik 0,53 detik dari kendali PID. Selanjutnya, hasil rancangan sistem CLMR ini merupakan sebuah prototipe self-driving car.Kata kunci: car like mobile robot, robot penjejak garis, fuzzy, self-driving car ABSTRACTThis paper describes the design of a fuzzy logic control system to adjust the speed and direction of the angle of the steering on the car like mobile robot (CLMR) using the Ackermann steering method. CLMR line tracking is  designed using 16 photodiode pieces, and there are 7 fuzzfication membership from reading error and last error so that 49 rules are formed. To test the fuzzy control performance on the CLMR system in following the line trajectory, it was tested with the form of a straight line and a turn and a zigzag in a rotary track. The process of varying input membership fuzzification values and output defuzzification is done five times. From the test results, it was found that the fuzzy logic control applied to the system was able to make CLMR movement successfully followed the test path for 9.38 seconds better than 0.53 seconds of PID control. Furthermore, the results of the CLMR system design are a prototype self-driving car.Keywords: car like mobile robot, line tracking robot, fuzzy, self-driving car
Contract-based federated learning framework for intrusion detection system in internet of things networks Saputra, Yuris Mulya; Putri, Divi Galih Prasetyo; Putra, Jimmy Trio; Murti, Budi Bayu; Wahyono, Wahyono
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i4.pp3324-3333

Abstract

A plethora of national vital infrastructures connected to internet of things (IoT) networks may trigger serious data security vulnerabilities. To address the issue, intrusion detection systems (IDS) were investigated where the behavior and traffic of IoT networks are monitored to determine whether malicious attacks or not occur through centralized learning on a cloud. Nonetheless, such a method requires IoT devices to transmit their local network traffic data to the cloud, thereby leading to data breaches. This paper proposes a federated learning (FL)-based IDS on IoT networks aiming at improving the intrusion detection accuracy without privacy leakage from the IoT devices. Specifically, an IoT service provider can first motivate IoT devices to participate in the FL process via a contract-based incentive mechanism according to their local data. Then, the FL process is executed to predict IoT network traffic types without sending IoT devices’ local data to the cloud. Here, each IoT device performs the learning process locally and only sends the trained model to the cloud for the model update. The proposed FL-based system achieves a higher utility (up to 44%) than that of a non-contract-based incentive mechanism and a higher prediction accuracy (up to 3%) than that of the local learning method using a real-world IoT network traffic dataset.
Kendali Logika Fuzzy pada Sistem Electronic Control Unit (ECU) Air Conditioner Mobil Fahmizal, Fahmizal; Orlando, Tommy Richard; Murti, Budi Bayu; Budiyanto, Maun; Mayub, Afrizal
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 1: Februari 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3156.001 KB) | DOI: 10.25126/jtiik.2019611045

Abstract

Makalah ini memaparkan perancangan kendali logika fuzzy pada sistem electronic control unit (ECU) air conditioner mobil. Salah satu kendala pada ECU mobil adalah kerusakan pada sistem air conditioner. Bila ini terjadi umumnya pengguna mobil mengganti sistem ECU secara keseluruhan. Namun pada makalah ini, penulis meracang sistem ECU yang secara khusus digunakan untuk sistem air conditioner mobil. Sistem yang dirancang menggunakan sensor DS18B20 waterproof untuk mendeteksi suhu evaporator mobil. Selanjutnya, nilai suhu tersebut digunakan sebagai masukan logika fuzzy yang terdiri dari pembacaan suhu sekarang dan suhu terakhir dalam mengatur kecepatan putar kipas motor DC atau fan exhausting dan waktu switching magnetic clutch compressor menyala. Hubungan relasi masukan fuzzy diselesaikan dengan aturan Mamdani dan keluaran dari logika fuzzy diselesaikan dengan metode weight average (WA). Dari hasil pengujian diperoleh bahwa kendali logika fuzzy yang diaplikasikan pada rancangan sistem air conditioner mampu mengendalikan kecepatan fan exhausting secara halus dan responsif.AbstractThis paper describes the design of fuzzy logic controls in the system of electronic control unit (ECU) of car air conditioner. One obstacle in the car ECU is damage to the air conditioner system. If this happens generally car users change the whole ECU system. But in this paper, the authors form the ECU system which is specifically used for car air conditioner systems. The system is designed using a DS18B20 waterproof sensor to detect the temperature of the car's evaporator. Furthermore, the temperature value is used as a fuzzy logic input consisting of reading the current temperature and the last temperature in adjusting the rotating speed of the DC motor fan or exhausting fan and when the switching magnetic clutch compressor is on. Completion of fuzzy input relations is solved using Mamdani rules and the output of fuzzy logic is solved using the weight average (WA) method. From the test results it was found that the fuzzy logic control applied to the design of the air conditioner system was able to control the speed of the exhausting fan in a smooth and responsive manner. 
Co-Authors Adlan Bagus Pradana Andie Gagas Alfrianto Apita Glory Kalani Arul Ferian Ramadloni Brama Prayudha Divi Galih Prasetyo Putri Esa Apriaskar Fahmizal . Fahmizal Fahmizal Fahmizal, Fahmizal Farid Hasan Fatihatun Puti Sabrina Lukman Subekti Maun Budiyanto, Maun Mayub, Afrizal Muhammad Arrofiq Ningrum, Nur Risya Difa Kusuma Nur Rohman Rosyid Orlando, Tommy Richard Pradana, Adlan Bagus PRATAMA, DONNY BUDI Pratama, Muhammad Andika Putra, Jimmy Trio Saputra, Yuris Mulya Tirza Sarwono Wahyono Wahyono Zebua, Nifesrianto