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PERBANDINGAN PASSIVE LC FILTER DAN PASSIVE SINGLE TUNED FILTER UNTUK MEREDUKSI HARMONISA VARIABLE SPEED DRIVE DENGAN BEBAN MOTOR INDUKSI TIGA FASA Mustamam, Mr; Baafai, Usman; Ramli, Marwan
JURNAL PENDIDIKAN TEKNOLOGI DAN KEJURUAN Vol 16, No 2 (2014): November 2014
Publisher : FT Unimed

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Abstract

ABSTRAK: Sebagian besar alat yang digunakan sebagai pengatur kecepatan putaran motor induksi tiga fasa adalah Variable Speed Drive (VSD) 1 fasa, di mana VSD merupakan pembangkit harmonisa. Oleh sebab itu harmonisa yang timbul pada VSD dapat direduksi dengan menggunakan filter fasif yaitu  passive LC filter dan passive single tuned filter sehingga memenuhi standar IEC61000-3-2 kelas A. Hasil yang diperoleh dengan passive LC filter dapat mengurangi total distorsi harmonisa arus  (THDi) dari 102,9% menjadi 23,78%  sedangkan passive single tuned filter mengurangi total distorsi harmonisa arus  (THDi) dari 102,9% menjadi 8,79%. Pada harmonisa ke 5 passive LC filter dapat mengurangi harmonisa dari 1,26 Amper menjadi 0,16 Amper , sedang passive single tuned filter dari 1,26 Amper menjadi 0,111 Amper. Impedansi yang dihasilkan passive single tuned filter lebih kecil yaitu 0,436 Ω sedang  passive LC filter 8,34 Ω. Dengan demikian  passive single tuned filter lebih baik untuk mereduksi harmonisa dibandingkan dengan passive LC filter.Kata Kunci : Variable speed drive 1 fasa, motor induksi 3 fasa, harmonisa, passive LC filter, passive single tuned filter.
Students' Metacognitive Ability Mathematical Problem-Solving through the Problem-based Learning Model Zia Anjelina; Usman Usman; Marwan Ramli
Didaktik Matematika Vol 8, No 1 (2021): Jurnal Didaktik Matematika
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (580.649 KB) | DOI: 10.24815/jdm.v8i1.19960

Abstract

Students lack metacognitive ability despite its vital role in mathematical problem-solving. The problem-based Learning (PBL) model is one of the learning models to improve metacognitive ability in problem-solving. This study aimed to analyze the students'metacognitive ability in mathematical problem solving through PBL and examine its improvement. This present study applied the explanatory sequential mixed-method design. The population was the Year 11 students from one of the senior high schools in South Aceh Regency, Indonesia. Data collection was conducted using three instruments: pre-test, post-test, and interview guidelines. The pre-test and post-test data were analyzed using the t-test, while students' metacognitive ability was analyzed qualitatively. The results showed that students' metacognitive ability in mathematical problem solving through the PBL model was increased. Furthermore, students' metacognitive abilitywas at the semi-reflective use, the strategic use, the aware use levels for high-ability, medium-ability, and low-ability groups.
Efektivitas Modul Pembelajaran Berbantuan Software GeoGebra pada Materi Bangun Ruang Sisi Datar Rhilmanidar Rhilmanidar; Marwan Ramli; Bansu Irianto Ansari
Didaktik Matematika Vol 7, No 2 (2020): Jurnal Didaktik Matematika
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (799.923 KB) | DOI: 10.24815/jdm.v7i2.17915

Abstract

The low learning outcomes of students on geometry may be due to the unavailability of GeoGebra software assisted learning modules. This research aims to investigate the effectiveness of a GeoGebra software assisted learning module on the theory of flat-faced 3D shapes. This study consists of three phases, which are preliminary research, prototyping phase, and assessment phase. The test subjects are the students of a junior high school in Aceh Selatan. The research instruments cover student activity sheets, formative test sheets, student response questionnaires, and observer response questionnaires.  The results show that the learning module satisfies the effectiveness criteria. These results are supported by very good student activities, improvement in students’ score of formative test, and positive responses of the students and teachers on the learning module.
Metaphorical Thinking of Students in Solving Algebraic Problems based on Their Cognitive Styles Muthmainnah Muthmainnah; Marwan Ramli; M Ikhsan
Didaktik Matematika Vol 8, No 1 (2021): Jurnal Didaktik Matematika
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (537.739 KB) | DOI: 10.24815/jdm.v8i1.18978

Abstract

One of thinking concepts which connects real life to mathematics is called metaphorical thinking. Metaphor and modelling are two closely related concepts. Besides, each individual performs different cognitive styles, such as field independent (FI) and field dependent (FD) cognitive styles. This factor possibly leads to different metaphorical thinking in solving algebraic problems. The participants of this qualitative research consist of two students at grade 7 of one of junior high school in Banda Aceh, Indonesia, with FI and FD as their cognitive styles. Based on the findings, it is found that: 1) Metaphorical thinking of the student with FI cognitive style in solving the algebraic problem in the stage of understanding the problem, devising a plan, carrying out the plan, and looking back is considered to achieve the target for each criteria of CREATE; 2) Metaphorical thinking of the student with FD cognitive style in solving the problem in the all four stages but could not reveal all criteria mentioned in CREATE. This happens as the student is unable to find the appropriate metaphor to the algebraic problem. Therefore, the student does not need to explain the suitability of the metaphor to the algebraic problem.
Effect of combination of dispersion and non linear term to downstream running nonlinear water waves MARWAN RAMLI; T. KHAIRUMAN3; SAID MUNZIR
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 4, No 1 (2014): Engineering
Publisher : Syiah Kuala University

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Abstract

This paper discuss the impact of dispersion and non-linear terms combinations the surface wave equation particularly on the peaking phenomena of the wave water that initially in the form of a bichromatic wave. The study for both of these terms are focused on the position where the bichromatic wave experience its highest peaking and its related bichromatic amplitude amplification. In the previous study, the position where the bichromatic wave experience its highest peaking is of order   and its bichromatic amplitude amplification is of order , where  and  are the amplitude and frequency of the bichromatic wave envelope, respectively. This result is based on the fifth order Korteweg de Vries (KdV) equation and the quantity that obtained is called Maximal Temporal Amplitude (MTA). However, despite the the position where the bichromatic wave experience its highest peaking suits the result  of Stansberg experiment and the result of numerical calculation using HUBRIS, its related bichromatic wave amplitude amplification is not close enough. The source of this discrepancy is suspected from the dispersion and non-linear terms of the KdV equation used. This study shows that the existence of the dispersion and non-linear terms influences the position of  Maximal Temporal Amplitude (MTA) and its bichromatic wave amplitude amplification.  For the coefficient of dispersion term of 1.0065 and  nonlinear term of , the position of MTA and bichromatic wave amplitude amplification suits the result of Stansberg experiment and the result of numerical calculation using HUBRIS
A semi analitycal solution of boussinesq equation using asymptotic method CUT D. SYAHRANI; MARWAN RAMLI; SAID MUNZIR
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 4, No 1 (2014): Engineering
Publisher : Syiah Kuala University

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Abstract

This study aims to determine solution of Boussinesq equation which is approximated by using asymptotic expansion method. Nonlinearity of Boussinesq equation causes the solution is not easily determined, so the solution is approached through its linearity. This method is in the form of power series expansion up to third-order, where each term of the series is linear. Furthermore, the finding solution is compared with the solution that was found by Mohyud in previous study. The result of this comparison showed that there were similarities of the two solutions. However, differences occur in phase as modeled in the solution of each method
Optimal tracking control in photovoltaic using linear quadratic tracking Mohd Iqbal Muttaqin; Said Munzir; Marwan Ramli; Muhammad Ikhwan
Journal of Aceh Physics Society Volume 11, Number 1, January 2022
Publisher : PSI-Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jacps.v11i1.20381

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Abstrak. Penelitian ini membahas tentang masalah penjejak pasif photovoltaic terhadap posisi matahari secara optimal. Penjejak pasif digunakan ketika penjejak aktif tidak berfungsi. Penjejak pasif menggunakan perhitungan matematika yang rumit untuk penerapannya. Metode yang digunakan pada penelitian ini adalah linear quadratic tracking. Linear quadratic tracking merupakan metode analitik yang mengkonstruksi sistem persamaan secara kontrol optimal. Penjejakan oleh linear quadratic tracking menghasilkan risetime, mencapai settling time, dan perhitungan error dari Mean absolute error (MAE). Artinya, metode linear quadratic tracking yang diterapkan pada PV dapat menjejak cahaya matahari secara pasif dengan sangat cepat dan akurat. Simulasi yang dilakukan terhadap massa panel surya yang bervariasi ternyata dapat mempengaruhi tegangan, arus listrik, dan kecepatan sudut dari PV. Semakin meningkat massa dari panel surya mengakibatkan tegangan dan arus listrik juga meningkat dan respon kecepatan sudut mencapai posisi referensi cenderung lama.  Abstract. This research discusses the problem of optimal passive photovoltaic tracking trajectory of the sun. The passive tracker is used when the active tracker does not work. The passive tracker uses complex mathematical calculations to implement it. The method used in this research is linear quadratic tracking. Linear quadratic tracking is an analytical method that constructs an optimal control system of equations. Tracing by linear quadratic produces rise time, reaches settling time, and error (MAE). This means that the linear quadratic tracking method for PV can track the sun trajectory very quickly and the level of accuracy is very accurate. Simulations carried out on various masses turned out to be able to affect the voltage, electric current, and angular velocity of the PV. The increasing mass of the solar panels results in increased voltage and electric current and the angular velocity response reaching the reference position tends to be longer.
Pengembangan Pendekatan Matriks Hubungan Untuk Pengukuran Similaritas Fera Anugreni; Herman Mawengkang; Marwan Ramli
Jurnal Inotera Vol. 1 No. 1 (2016): July-December 2016
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (75.633 KB) | DOI: 10.31572/inotera.Vol1.Iss1.2016.ID10

Abstract

Perhitungan similaritas adalah fungsi dasar yang digunakan oleh berbagai aplikasi pengolahan informasi seperti mencari clustering dan klasifikasi. Ada berbagai jenis hubungan dapat digunakan untuk memperkuat nilai kesamaan objek data berpasangan dan untuk membantu meningkatkan kualitas perhitungan kesamaan antara objek data. Hal ini membantu untuk melacak bagaimana hubungan antara objek data yang digunakan untuk mengukur kesamaan objek data. Hasil penelitian ini dapat menunjukkan bahwa Unified Relationship Matrix (URM) dapat digunakan untuk menyediakan data objek heterogen dan hubungan antara masing-masing objek data secara terpadu.
PEMODELAN KONTROL BALANCING ROBOT MENGGUNAKAN LOGIKA FUZZY DENGAN KALMAN FILTER Muhammad Amin; Tulus Tulus; Marwan Ramli
Jurnal Teknovasi : Jurnal Teknik dan Inovasi Vol 3, No 1 (2016): Teknovasi April 2016
Publisher : LPPM Politeknik LP3I Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55445/teknovasi.v3i1.77

Abstract

Balancing robot merupakan suatu mobile robot yang memiliki dua roda yang ada di sisi kanan dan sisi kirinya yang tidak seimbang apabila robot tersebut berjalan. Keunggulan dari Balancing robot adalah dapat menyeimbangkan diri sendiri. Pengendalian kestabilan balancing robot sangat penting dilakukan agar performansi Balancing robot dapat dicapai dengan optimal. Beberapa penelitian untuk kesetabilan balancing robot yang sudah dilakukan dengan beberapa metode yakni dengan metode control Proposional, Integral, Derivatif (PID) dan metode kontrol yang lain. Permasalah umum yang terjadi pada balancing robot adalah tentang kestabilan balancing robot tersebut. Kestabilan pada balancing robot dapat terganggu karena hanya terdapat dua motor yang digunakan pada sisi kiri dan kanan yang disebabkan oleh berbagai faktor diantaranya adanya beban, tekanan udara yang berbeda yang meneyebabkan terjadinya kemiringan-kemiringan pada sumbu x dan y. Untuk menyelesaikan permasalahan tersebut dibutuhkan kontrol kestabilan dalam menentukan kecepatan motor penggerak balancing robot tersebut. Penelitian ini bertujuan mendapatkan konfigurasi kontrol kestabilan yang optimal pada balancing robot setelah diterapkan metode fuzzy logic dan kalman filter. Hasil penelitian ini menyatakan metode fuzzy logic dan kalman filter belum dapat memberikan tingkat akurasi yang baik dalam menentukan kestabilan balancing robot yang dinilai dari input sensor, kemiringan sumbu x dan kemiringan sumbu y sehingga hasil yang dicapai dapat memberikan kontrol pertambahan kecepatan keduat motor tersebut.
ANALISIS CONTRAST STRETCHING MENGGUNAKAN ALGORITMA EUCLIDEAN UNTUK MENINGKATKAN KONTRAS PADA CITRA BERWARNA Nurliadi Nurliadi; Poltak Sihombing; Marwan Ramli
Jurnal Teknovasi : Jurnal Teknik dan Inovasi Vol 3, No 1 (2016): Teknovasi April 2016
Publisher : LPPM Politeknik LP3I Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55445/teknovasi.v3i1.76

Abstract

Contrast stretching merupakan metode peningkatan kontras pada citra, pada umumnya Contrast Stretching banyak digunakan untuk citra hitam putih (grayscale), penggunaan metode contrast stretching sering juga disandingkan dengan Histogram Equalization untuk melihat diagram dari hasil citra yang sudah diproses. Dari salah satu jurnal tentang Contrast Stretching membuktikan bahwa Contrast Stretching dapat juga diproses untuk citra berwarna, namun dalam prosesnya masih menggunakan cara manual atau melalui pergeseran control transformasi sebagai input peningkatan kontras, pada penelitian ini peneliti mencoba menerapkan salah satu Algoritma sebagai penentu titik transformasi antara R1,S1 dan R2,S2 dalam Contrast Stretching yaitu dengan menggunakan Algoritma Euclidean. Dengan mengambil jumlah nilai Contrast Stretching maka akan menghasilkan peningkatan kontras serta mendapatkan jarak Euclidean dari transformasi R1, S1 dan R2, S2.