Article Per Year (5 Year)
p-Index From 2019 - 2024
1.203
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Informasi dan Ilmu Komputer PROtek : Jurnal Ilmiah Teknik Elektro Journal of Science and Engineering Patria Artha Technological Journal
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

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search

 1 
Analisa Pelanggaran Pemakaian Tenaga Listrik Pada Pelanggan Tegangan Menengah (20 kV) di PT. PLN (persero) UP3 Ternate Hadi Sirad, Mochammad Apriyadi; Muhammad, Miftah; Baharuddin, Ali H
Patria Artha Technological Journal Vol 5, No 2 (2021): Patria Artha Technological Journal
Publisher : Department of Electrical Engineering, University of Patria Artha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33857/patj.v5i2.437

Abstract

Theft of electricity is an activity that harms the country where PLN as a party that distributes electricity has unconsciously lost its main commodity without any reciprocity in the form of payments. To steal electricity is not as difficult as imagined by most people, only by "attaching" pln cables thieves can freely use electricity, especially if the thief knows the method used by PLN in detecting thieves will be careful in determining how much the shift in bills so as not to be sniffed. Violation of Class III (P3) as many as 5 Pln Customer Customers (Non-Customers) get a Violation of Class IV (P4) as much as 1 customer and follow-up bills given on violations of class P1 (is a violation that affects the power limit) fines given Rp. 59,400 violations of class P2 (a violation that affects the energy limit) fines given Rp. 2,372,020. violation of class P3 (an offence that affects the power limit and is an offence affecting the energy limit) the fine given Rp, 11,516,563.  PLN (Non-customer) customers get a violation of class IV (P4) fines given to the customer group as much as Rp.5 348,206.
Perbandingan Klasifikasi Antara KNN dan Naive Bayes pada Penentuan Status Gunung Berapi dengan K-Fold Cross Validation Firman Tempola; Miftah Muhammad; Amal Khairan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 5: Oktober 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (679.097 KB) | DOI: 10.25126/jtiik.201855983

Abstract

Penelitian ini akan membandingkan dua algoritma klasifikasi yaitu K-Nearest Neighbour dan Naive Bayes Classifier pada data-data aktivitas status gunung berapi yang ada di Indonesia. Sedangkan untuk validasi data menggunakan k-fold cross validation. Dalam penentuan status gunung berapi pusat vulkanologi dan mitigasi bencana geologi melakukan dengan dua hal yaitu pengamatan visual dan faktor kegempaan. Pada penelitian ini dalam melakukan klasifikasi aktivitas gunung berapi menggunakan faktor kegempaan. Ada 5 kriteria yang digunakan dalam melakukan klasifikasi yaitu empat faktor kegempaan diantaranya gempa vulkanik dangkal, gempa tektonik jauh, gempa vulkanik dalam, gempa hembusan dan ditambah satu kriteria yaitu status sebelumnya. Ada 3 status yang di yang diklasifikasi yaitu normal, waspada dan siaga. Hasil penelitian yang dibagi kedalam 3 fold disetiap metode klasifikasi didapat perbandingan akurasi sistem rata-rata tertinggi pada k-nn 63,68 % dengan standar deviasi 7,47 %. Sedangkan dengan menggunakan naive bayes didapat rata-rata akurasi sebesar 79,71 % dengan standar deviasi 3,55 %. Selain itu, penggunaan naive bayes jaraknya akurasi lebih dekat dibandingan dengan k-nn. AbstractThis research will compare two classification algorithms that are K-Nearest Neighbors and Naive Bayes Classifier on data of volcanic status activity in Indonesia. While for data validation use k-fold cross validation. In determining the status of volcanology center volcanology and geological disaster mitigation to do with two things: visual observation and seismic factors. In this research in doing the classification of volcanic activity using earthquake factor. There are 5 criteria used in the classification of four seismic factors such as shallow volcanic earthquakes, distant tectonic earthquakes, volcanic earthquakes in the earthquake, blast and plus one criterion that is the previous status. There are 3 statuses in which are classified ie normal, alert and alert. The results of the study are divided into 3 fold in each classification method obtained comparison of the highest average system accuracy at 63.68% k-nn with a standard deviation of 7.47%. While using naive bayes obtained an average accuracy of 79.71% with a standard deviation of 3.55%. In addition, the use of naive bayes is closer to the accuracy of k-nn.
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
Penggunaan Internet Dikalangan Siswa SD di Kota Ternate: Suatu Survey, Penerapan Algoritma Clustering dan Validasi DBI Firman Tempola; Miftah Muhammad; Abdul Mubarak
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 6: Desember 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020722370

Abstract

Penggunaan internet dimasyarakat global terus tumbuh, tak hanya terjadi pada masyarakat dewasa melainkan juga pada anak-anak. Internet tidak hanya berdampak pada hal positif melainkan juga pada hal negatif. Di Ternate penggunaan internet terus tumbuh hal ini karena semakin mudah dalam mengakses internet. Namun laporan secara ilmiah mengenai penggunaan internet di Kota Ternate belum ada. untuk itu, bagaimana mengetahui penggunaan internet dikalangan anak SD di kota Ternate. Penelitian itu bertujuan untuk mencari tahu penggunaan internet di Kota Ternate dengan cara  survey secara langsung kepada kalangan anak SD di kota Ternate. Selain itu, data-data dari hasil survey kemudian di cluster dengan menggunakan algoritma k-means clustering. kemudian dilakukan validasi clustering dengan davies bouldin index. Hasil dari penelitian ini dari 933 responden diperoleh 51,45 % siswa SD di kota Ternate aktif di jejaring sosial dengan 53,70% di whatsapp, 40,30% di instagram dan 27,80% di facebook. Untuk aktivitas ketika membuka youtube terdapat 61,60% sering menonton video di youtube dengan 61,60% video karton, komedi 49,80% dan konten edukasi 28,40%. Sedangkan untuk game online, yang aktif dalam bermain game online yaitu 49,41%. Untuk penerapan algoritma clustering k-means pada 32 sekolah SD di Kota Ternate diperoleh cluster terbaik saat pembagian 4 cluster, hal ini berdasarkan nilai davies bouldin index yang diperoleh sebesar 0,773 lebih kecil dibandingkan dengan pembagian cluster lainnya. AbstractThe use of the internet in the global community continues to grow, not only in adults but also in children. The internet does not only have positive effects but also negative things. In Ternate the use of the internet continues to grow because it is easier to access the internet. However, scientific reports regarding the use of the internet in the city of Ternate do not yet exist. for that, how to find out the use of the internet among elementary school children in the city of Ternate. The research aims to find out the use of the internet in the city of Ternate by means of a direct survey among elementary school children in the city of Ternate. In addition, the data from the survey results are then clustered using the k-means clustering algorithm. Then the clustering validation was performed with the bouldin index davies. The results of this study of 933 respondents obtained 51.45% of elementary school students in Ternate were active in social networks with 53.70% on whatsapp, 40.30% on Instagram and 27.80% on Facebook. For activities when opening YouTube there are 61.60% often watching videos on YouTube with 61.60% cardboard videos, comedy 49.80% and educational content 28.40%. As for online games, those active in playing online games are 49.41%. For the application of the k-means clustering algorithm in 32 elementary schools in Ternate, the best cluster was obtained when the division of 4 clusters, this was based on the bouldin index davies value obtained by 0.773 smaller than the other cluster divisions.
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 Abdul Mubarak Amal Khairan Baharuddin, Ali H Hafid Syaifuddin Rahman R Rasyid Rahman R. Rasyid ramly rasyid Sirad, Mochammad Apriyadi Hadi Tempola, firman