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All Journal PROtek : Jurnal Ilmiah Teknik Elektro Journal of Science and Engineering
Muhammad, Miftah
Department Of Electrical Engineering, Faculty Of Engineering, Universitas Khairun
Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Indentifikasi Status Bencana Gunung Berapi Menggunakan Metode Kombinasi Case-Based Reasoning dan Bayesian Network Miftah Muhammad
PROtek : Jurnal Ilmiah Teknik Elektro Vol 4, No 2 (2017): PRotek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (658.3 KB) | DOI: 10.33387/protk.v4i2.417

Abstract

Abstrak— Secara geografis Indonesia berada di pertemuan dua lempeng yaitu Asia dan Australia, hal ini menyebabkan banyak terdapat gunung merapi. Selain itu pegunungan di Indonesia didominasi oleh gunung yang aktif dan berpotensi meletus sewaktu-waktu. Kondisi tersebut mengharuskan warga negara Indonesia, khususnya yang tinggal di sekitaran pegunungan berapi aktif tanggap akan bencana letusan gunung berapi. Pesatnya perkembangan Teknologi Informasi dan Komunikasi (TIK) pada mitigasi bencana dalam bentuk aplikasi pendeteksi potensi bencana gunung merapi, dapat menjadi solusi membantu warga masyarakat daerah rawan bencana. Penelitian ini menghasilkan suatu aplikasi indentifikasi status gunung berapi. Data latih yang digunakan diambil dari situs Pusat Vulkanologi dan Mitigasi Bencana Gunung Berapi yang diklasifikasikan dalam tiga status yaitu normal, siaga, dan waspada. Pengklasifikasi menggunakan Case-Based Reasoning (CBR) dan Bayesian Network (BN) yang merupakan metode kombinasi berbasis probabilitas yang sederhana namun handal untuk meningkatkan akurasi data. Berdasarkan hasil pengujian dengan jumlah data latih terbesar mencapai tingkat akurasi 80%. Dengan demikian dapat dikatakan bahwa aplikasi indentifikasi status bencana gunung berapi dengan metode CBR dan BN memiliki performa dan akurasi yang tinggi dalam mengklasifikasi status gunung berapi.
Pengaturan Kecepatan Motor Induksi Tiga Fasa Menggunakan Spwm Inverter dan Kontrol Pid dengan Metode Hibrid Volt/Herzt Konstan-Sensor Arus Ramly Rasyid; Miftah Muhammad; Rahman R. Rasyid
PROtek : Jurnal Ilmiah Teknik Elektro Vol 9, No 1 (2022): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v9i1.4201

Abstract

Three-phase induction motors are often used in every industry because three-phase induction motors are relatively cheap. On the three-phase induction motor in order to get a varied speed, one of the methods is the Three-Phase Induction Motor Speed Setting Using SPWM Inverter And Hybrid Volt/Herzt Constant-Sensor Current-Density PID Control in order to maintain the speed of the motor. This simulation was carried out with Matlab 2007 software. Induction motor speed performance set with a set point of 100 rad/detm 140 rad/sec, and 200 rad.det is a consecutive rise time of 0.002 seconds, 0.00116 seconds, and 0.006 seconds, a maximum overshoot of 5.4%, 1.25%, and 0.875% respectively and 0.1518 seconds, 0.1464 seconds, and 0.15 seconds respectively. The response torkanya values between 75 Nm, 90 Nm, and 100 Nm respectively, while the performance of the insulated current is very small
Analisa Kualitas Daya Listrik Pada Gardu Distribusi Universitas Khairun Ramly Rasyid; Miftah Muhammad
Journal of Science and Engineering Vol 4, No 1 (2021): Journal Of Science and Enggineering (JOSAE)
Publisher : Fakultas Teknik Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/josae.v4i1.3097

Abstract

The large number of applications of nonlinear loads in the electric power system has made the system current very distorted with a very high percentage of current harmonic content, THD (total harmonic distortion) can damage the power factor compensation capacitor, making the system power factor worse, causing interference. to the telecommunication system, increase system losses, cause various kinds of damage to sensitive electrical equipment, all of which cause the use of electrical energy to be ineffective which results in poor power quality. In this study, the collection of data obtained was based on methods such as the following, namely the measurement method. This measurement method measures the harmonic voltages and currents caused by non-linear loads.
IMPLEMENTASI MODEL PDCA DALAM MANAJEMEN SUMBER DAYA ENERGI LISTRIK Miftah Muhammad; Hafid Syaifuddin
Journal of Science and Engineering Vol 5, No 1 (2022): Journal Of Science And Engineering (JOSAE)
Publisher : Fakultas Teknik Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/josae.v5i1.4676

Abstract

Kebutuhan akan energi terutama energi listrik terus meningkat diiringi dengan bertumbuhnya penduduk dan rumah penduduk. Khusus di Indonesia peningkatan penggunaan listrik rumah tangga pada tahun 2017 mencapai 95%. Hal tersebut tentu sangat berpengaruh terhadap bahan baku untuk menghasilkan energi listrik. Berbagai upaya telah dilakukan untuk menekan konsumsi listrik khususnya pada rumah tangga. Salah satu cara yaitu dengan menerapkan konsep Energy Manajemen System (EMS) dengan model Plan-Do-Check-Act (PDCA). Pada penelitian juga menerapkan PDCA namun berfokus pada tahapan Plan. Tahapan plan yang dilakukan yaitu dengan menerapkan algoritma C4.5 untuk membentuk rule dalam hal prediksi listrik rumah tangga. Penelitian ini juga diuji kinerja sistem dengan menggunakan confusion matrix. Data-data yang diterapkan merupakan data real yang dikumpulkan di Kota Ternate, Maluku Utara, Indonesia. Hasil penelitian didapat bahwa rule yang terbentuk sebanyak 19 rule. Dengan akurasi sistem bervariasi tergantung jumlah data latih yang diterapkan. Namun untuk akurasi tertinggi ketika data latih yang diterapkan sebanyak 55 data latih dimana akurasi yang didapatkan yaitu sebesar 80%.
MONITORING SUDUT FASA MENGGUNAKAN MIKROKONTROLER BERBASIS INTERNET OF THINGS (IOT) ramly rasyid; Miftah Muhammad; Rahman R Rasyid
Journal of Science and Engineering Vol 6, No 2 (2023): JOURNAL OF SCIENCE AND ENGINEERING (JOSAE)
Publisher : Fakultas Teknik Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/josae.v6i2.6885

Abstract

Phase angle is very important in determining active power and reactive power parameters in AC power sources so it needs to be monitored. This research created a phase angle monitoring tool based on the Internet of Things (IoT) using the blynk application, apart from monitoring phase angles it also monitors voltage, current and power factor. The method used is an experimental method, which starts with hardware design using a Node MCU where the Node MCU will later convert analog electrical quantities to digital while the PZEM 004-V30 sensor contains a voltage sensor and a current sensor which detects analog quantities sent to Node MCU, software design using Arduino IDE and IoT using the Blynk application then testing the tool created. Testing for measuring and monitoring phase angles and reactive power will be compared with the Haiko clamb meter so that the measurement error presentation can be seen. The presentation of phase angle measurement errors for loads of 1x36 Watt, 2x36 Watt, 3x36 Watt and 4x36 Watt respectively are 4.32%, 3.40%, 1.77% and 1.32%. The error is below 5%, so the performance of this tool can be said to be good. The highest error presentation was 4.52% for the 1x36 Watt TL lamp load, while the smallest error presentation was 1.32% for the 4x36 Watt TL lamp load.
Co-Authors Hafid Syaifuddin Rahman R Rasyid Rahman R. Rasyid Rasyid, Ramly