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Pendugaan Parameter Model Multivariat Normal Hidden Markov Fikri, Miftahul; Samsurizal, Samsurizal
Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) Vol 3 No 1 (2019): Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai Islami)
Publisher : Mathematics Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.434 KB)

Abstract

Model hidden Markov terdiri dari sepasang proses stokastik yaitu proses observasi dan proses yang memengaruhi observasi. Proses stokastik yang memengaruhi observasi ini diasumsikan membentuk rantai Markov dan tidak diamati. Model Multivariat Normal hidden Markov (model MNHM) adalah salah satu model hidden Markov dan proses observasinya jika diketahui proses yang memengaruhinya diasumsikan menyebar multivariat Normal. Permasalahan utama model MNHM ialah menduga parameter yang memaksimumkan fungsi likelihood. Fungsi likelihood dihitung menggunakan algoritme Forward-Backward. Algoritme Expectation Maximization (algoritme EM) digunakan untuk memaksimumkan fungsi likelihood.
Singular Value Decomposition (SVD) Berdasarkan Intensitas Pencahayaannya Untuk Pengenal Wajah Samsurizal Samsurizal; Miftahul Fikri; Nurmiati Pasra
Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Vol 10, No 1 (2021): Edisi Juni 2021
Publisher : Fakultas Teknik Elektro - Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/setrum.v10i1.10376

Abstract

Singular Value Decomposition (SVD) is a method that can be used for biometric systems, where the biometric system is a system for identification by using physical features or human limbs such as fingerprints, eye retina, face, and others. This writing aims to recognize faces based on the intensity of their lighting using SVD. The use of SVD is done by forming the basis of a matrix (where this matrix is a collection of database faces (db)), then this base is used to transform the inputted image / face / db file and database files, then the results of this transformation the norm is calculated, if the minimum norm (db files and input files) is still within a certain tolerance the input file will be categorized as face / db file / ith person. The simulation results show that SVD can classify an image as a face or not with an accuracy of 94.7231% and a period of 35.2020 seconds for the recognition of 900 image files, a face image is a database or not of 68.4616% within 7.5480 seconds for the recognition of 650 face files, a The face images that are in the database are 90.7692% of the people in the 3,7340 seconds period for the introduction of 325 database files.
Dampak Bayangan Pada Panel Surya Terhadap Daya Keluaran Photovoltaic Samsurizal .; Sungsang Dody Purwanto; Miftahul Fikri; Christiono Christiono
Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Vol 9, No 2 (2020): Edisi Desember 2020
Publisher : Fakultas Teknik Elektro - Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/setrum.v9i2.9202

Abstract

The effect of shadows that occur naturally due to the movement of the sun so that the radiance is exposed to trees and buildings before getting to the surface of the solar panels certainly affects the output power produced in the hydropower of the hydropower. This study used photovoltaic type polycrystalline, with observation data conducted in the campus environment IT-PLN. From the results of the study obtained that the power of 51.75 Watts occurred at 11.30 WIB, but when taken into account in real data the output power was obtained by 29.49 Watts at its peak power, it meant the shadow effect occurred by 84.217% at 12.30 WIB. Based on this, there can be a decrease in power by 43,582 Watts while when using the calculation of output power in real data there is a decrease of 25,155 Watts with a large shadow effect of 85,311% can be inferred the greater the shadow value that occurs the less power generated by a solar panel.
Perbandingan Penyelesaian Integral Riemann, Lebesgue dan HK Berdasarkan Definisi Miftahul Fikri; Samsurizal Samsurizal; Andi Makkulau
Limits: Journal of Mathematics and Its Applications Vol 18, No 2 (2021)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/limits.v18i2.8751

Abstract

Sejak integral diperkenalkan oleh Newton dan Leibniz pada abad ke-17, alat ukur ini terus dilakukan kajian dan perumuman hingga saat ini. Terdapat tiga integral yang dikenal secara luas yaitu integral Riemann, integral Lebesgue dan integral HK. Pada masanya integral Riemann diterapkan untuk menyelesaikan berbagai persoalan tetapi kemudian diketahui memiliki keterbatasan. Integral Lebesgue muncul untuk mengatasi keterbatasan ini. Integral Lebesgue pun kemudian diketahui memiliki keterbatasannya tersendiri sehingga muncul integral Henstock-Kurzweil (integral HK) untuk mengatasi keterbatasan integral Lebesgue. Dalam banyak literatur seringkali untuk menyelesaikan soal integral tidak menggunakan definisi/ kerangka acuan yang sama sehingga sangat sulit memahami substansi maupun keterkaitan ketiga integral ini. Oleh karena itu, pada penelitian ini dilakukan perbandingan penyelesaian persoalan integral menggunakan definisi. Adapun dari empat persoalan integral yang dibahas, integral Riemann dapat menyelesaikan satu persoalan, integral Lebesgue dapat menyelesaikan dua persoalan dan integral HK dapat menyelesaikan seluruh persoalan yang dibahas.
The Effect of Theoretical University Courses Towards Practical Work Result Based on Learning Motivation Dwi Anggaini; Titi Ratnasari; Miftahul Fikri
Ilomata International Journal of Social Science Vol 1 No 3 (2020): July 2020
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.498 KB) | DOI: 10.52728/ijss.v1i3.106

Abstract

PLN Tertiary Education of Engineering is one of universities that focused on energy and electricity. The type of courses offered in Electrical Engineering major are theoretical courses and practical courses. One of the courses that consist both theoretical and practical courses is Electrical Measurement (EM). PLN Tertiary Education of Engineering suggested that students should apply for theoretical course before starting any practical course, or to take both courses in the same semester. However, there are still students who applied for practical courses before finishing theoretical course. Is there any correlation between theoretical and practical courses, as well as connection between Learning Motivation and Practical Course?. This research is conducted using Two-Way Analysis of Variance (two-way ANOVA) with factorial design of 2x2, and further testing using Tukey’s Range Test using the data of 2018 students’ results who are applying for practical courses with prior theoretical course participation and those without any prior theoretical course participation. Step 1: Data collection; Step 2: Requirement analysis test (normality and homogeneity); Step 3: Validity and Reliability test using learning motivation questionnaires; Step 4: Two-way ANOVA; Step 5: Tukey’s Range Test. Interaction found between EM course and student’s learning motivation towards the result of their EM practical work. This is evident from Fh = 16,66 and Ft = 4,04 at α = 0,05 with Fh > Ft which means H1 is accepted. Therefore, there is an impact between theoretical courses towards practical courses.
PENGARUH EVALUASI TES FORMATIF TERHADAP HASIL BELAJAR MATEMATIKA DITINJAU DARI TINGKAT KEMANDIRIAN BELAJAR MAHASISWA STT-PLN JAKARTA DENGAN MENGGUNAKAN ANALISIS VARIAN ANOVA Dwi Anggaini; Miftahul Fikri; Denny Setiawan
KILAT Vol 7 No 2 (2018): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (434.906 KB) | DOI: 10.33322/kilat.v7i2.353

Abstract

Research is a study that aims to find out the truth by researching and analyzing the influence of student learning independence in formative tests on student mathematics learning outcomes. The study was conducted at the Technical High School - PLN Jakarta in the even semester of 2017/2018 school year with a sample of 52 students using cluster random sampling technique. To retrieve data using questionnaire instruments to capture data on student learning independence variables and use tests to measure students' mathematics learning outcomes. Data analysis was performed using one-way ANOVA to prove the validity of the research hypothesis. Based on the results of the data analysis test, it can be concluded that there is an interaction between formative tests and students' learning independence towards mathematics learning outcomes and is directly proportional to learning independence.
Pengaruh Intensitas Matahari Terhadap Karakteristik Sel Surya Jenis Polycristaline Menggunakan Regresi Linear Andi Makkulau; Samsurizal Samsurizal; Miftahul Fikri; christiono Christiono
KILAT Vol 10 No 1 (2021): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/kilat.v10i1.994

Abstract

Renewable energy sources have both renewable and sustainable properties and the utilization of renewable energy sources is a continuously developed alternative. One of the technologies that can utilize renewable energy is polycrystalline solar cells. Solar cells are technology that converts sunlight energy into electrical energy. This technology is very potentially applied in Indonesia that has a tropical climate, but the main problem of this system is the power instability generated. The power produced relies heavily on the intensity of the sun received by the solar panels. The intensity of the solar radiation received by the solar panels can be maximised by installing solar panels, with a precise tilt angle. In research acquired the relationship between irradiation and current correlates of R = 0.7251. From the correlation value above indicates that there is a strong link and is directly proportional between irradiation and the current obtained. The acquired Model needs to be seen its accuracy, in which case it will be used Mean Absolute Percent Error So it is obtained by 26.5%. This indicates that the model is good enough.
Pemodelan Cuaca Menggunakan Model Hidden Markov Untuk Pemanfaatan Energi Surya Miftahul Fikri; Samsurizal Samsurizal; Kartika Tresya mauriraya; christiono christiono
KILAT Vol 9 No 2 (2020): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/kilat.v9i2.1023

Abstract

Energi terbarukan merupakan energi alternatif untuk mengatasi permasalahan yang timbul pada energi konvensional, yaitu terbatas dan menimbulkan polusi yang dapat merusak lingkungan. Disisi lain, Indonesia sebagai negara tropis yang terletak di kawasan katulistiwa, memiliki potensi energi matahari yang melimpah dan bersinar sepanjang tahun. LAPAN mencatat radiasi harian rata-rata energi surya adalah 4.8 KWh/m2. Karenanya, sistem pembangkit listrik tenaga surya (PLTS) memiliki potensi yang sangat besar sebagai sumber energi utama untuk digunakan di Indonesia pada masa depan. Salah satu permasalahan utama saat perencanaan PLTS adalah ketidakpastian cuaca, hal ini menyebabkan kesulitan dalam merencanakan kapasitas PLTS yang dibutuhkan. Permasalahan ini dapat terselesaikan jika ketidakpastian cuaca ini dapat diatasi. Metode yang dapat diandalkan untuk mengatasi ketidakpastian ini adalah pemodelan stokastik, hali ini dikarenakan pemodelan stokastik merupakan suatu model yang dibangun menggunakan aturan-aturan peluang. Model hidden Markov (MHM) merupakan salah satu pemodelan stokastik yang dapat diandalkan tanpa harus mengetahui faktor-faktor penyebab permasalahan yang dimodelkan, termasuk permasalahan pada cuaca ini yang mana faktor-faktor penyebabnya sulit diamati. Ditengah keterbatasan, pemodelan ini menggunakan data cuaca harian BMKG pada wilayah Samarinda, Kalimantan Timur pada tanggal 1 Juli sampai dengan 31 Oktober 2019 (sebanyak 123 hari). Data cuaca yang diperoleh tersebut dikelompokkan menjadi empat kategori, yaitu cerah, cerah-berawan, berawan, hujan. Model dibuat menggunakan data cuaca sebanyak 105 hari, yang mana sisa sebanyak 18 hari digunakan untuk mengecek ketepatan prediksi model. Hasil penelitian menunjukkan bahwa model memiliki ketepatan sebanyak 87 dari 105 hari (82,86%). Adapun keatepatan model untuk memprediksi sebanyak 13 dari 18 hari (72,67%).
RANCANG BANGUN RUANG PINTAR MINIMALIS TENAGA SURYA DENGAN SISTEM KONTROL BERBASIS ARDUINO Redaksi Tim Jurnal
Sutet Vol 7 No 2 (2017): JURNAL ILMIAH SUTET
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (374.821 KB) | DOI: 10.33322/sutet.v7i2.83

Abstract

This study aims to design a concept of Smart Room System with a source of electricity derived from the Solar Cell System in a home which can facilitate human activities while in the house such as turning on and off the lights, open and close the door of the house. Smart Room System is a technology that allows homeowners to control the entire contents of the house in one hand, can be a smartphone or other gadgets. In improving security and comfort, this system is controlled by Arduino microcontroller. Arduino is connected to a computer via USB, programmed using C language via Arduino IDE by uploading compiled code to Arduino board. Arduino microcontrollers can be utilized as a home light controller, automatic door control and feature controller of other electronic devices. Associated with the many electronic features used in the Smart Room System, the source of electricity used is from a solar power plant that is known that solar or solar is one source of renewable energy is much cheaper, environmentally friendly and more efficient because it minimizes the use of sources electricity PLN 220 V.
METODE NEWTON RAPHSON UNTUK ANALISIS ALIRAN DAYA JARINGAN DISTRIBUSI 12,66 KV Miftahul Fikri; Dwi Anggaini
Sutet Vol 8 No 2 (2018): JURNAL ILMIAH SUTET
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Analysis the flow of power in works system electricity used to determine parameters workers system electricity. The calculation process are own related to the optimize system. A method of which has been used is the method Newton Raphson iteration. This method is a Taylor of obtaining the derivative a mathematical equation as the basis for calculation iteration involving using matric Jacobian. Analysis the flow of the power on a system electric power on useful to count some parameters that importance between another current of, voltage, power, and loss power. The method of analysis the flow of resources Newton-Raphson has been proven accurate to calculation the power on the flow of transmission system of analysis. A channel or a cable on a system the distribution of also having the ratio the resistance of versus reactance ( r / x ) that tend to high that led to the process by the calculation of the flow of power uses the method conventional above failed to converging. The results of a simulation shows that usage method of simple branch exchange to merekonfigurasi of tissues can be reduce loss of power equal to 63,4677 kw .From the results of a simulation by the use of in distribution systems ieee 33 bus 12,6 kv , shows that there has been a decrease rugi-rugi resources of a 202,6845 kw become 139,2168 kw.