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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) MEDIA ELEKTRIKA Jurnal Teknik Elektro Rekayasa Mesin Sinergi Jurnal Teknologi Informasi dan Ilmu Komputer Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Rekayasa Sipil dan Lingkungan JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan Elsains : Jurnal Elektro SENTIA 2016 SENTIA 2015 Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Jurnal Karinov JE-Unisla Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan Jurnal Tecnoscienza Jurnal Riset Rekayasa Elektro Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Electrical Engineering and Computer (JEECOM) JASEE Journal of Application and Science on Electrical Engineering Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Indonesian Collaboration Journal of Community Services (ICJCS) Prosiding Konferensi Nasional PKM-CSR ALINIER: Journal of Artificial Intelligence & Applications Jurnal Fortech SinarFe7 Journal FORTEI-JEERI Sewagati Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Pengabdian Masyarakat dan Riset Pendidikan Engagement: Jurnal Pengabdian Kepada Masyarakat E-Amal: Jurnal Pengabdian Kepada Masyarakat Elconika: Jurnal Teknik Elektro Jurnal FORTECH Journal of Renewable Energy and Smart Device Jurnal JEETech DIMAS-UNDAR Nucleus Journal

Machrus Ali

Universitas Darul Ulum

Author-ID : 2659503

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

Published : 151 Documents Claim Missing Document

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Perancangan Perangkat Keras MPPT Metode Perturb and Observation Safarudin, Yanuar Mahfudz; Mariani, Dina; Hendrawati, Dwiana; Suwarti, Suwarti; Ali, Machrus; Nurrohmah, Hidayatul
Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan Vol 7 No 2 (2018): Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan
Publisher : Fakultas Teknik Universitas Maritim Raja Ali Haji

This study discusses the use of perturb and observation algorithm in the application of maximum power point tracking. The algorithm is simulated and tested hardware in two shading conditions. The results show the similarity result of hardware testing and simulation.

Optimasi Frekuensi Kontrol pada Sistem Hybrid Wind-Diesel Menggunakan PID Kontroler Berbasis ACO dan MFA Arrohman, Muhammad; Fajardika, Risky; Muhlasin, Muhlasin; Ali, Machrus
Rekayasa Mesin Vol 9, No 1 (2018)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

The power of the generating system is strongly influenced by frequency changes. The wind generating system is strongly influenced by the magnitude and speed of the agin as input power. The wind-diesel combined generating system is required to obtain optimum power quality. The hybrid swarm system is a controlled network of some renewable energy generation such as: wind turbine, solar cell, micro hydro and so on. Not optimal setting gain and small constant time on Load Frequency Control (LFC), causing its ability to be weak (weak line). In practice, wind-diesel systems are controlled with PID controller. Setting the gain value of the PID is still in the conventional method, making it difficult to get the optimal value. In this research applied control design by using Intelligent Method in finding the optimum value of Proportional Intergral Derivative (PID) to adjust load frequency with Matlab / Simulink program. This research uses Ant Colony Optimization (ACO) and Modification Firefly Algorithm (MFA). For comparison methods are used without control method, conventional PID method and matlab auto tuning method. Wind-diesel modeling uses the transfer function of diagram of wind turbine and diesel. The study compared several uncontrolled methods and conventional PID, ACO, with FA and MFA. The results show that the smallest undershoot is PID-MFA Controller of -1.529.10-4 and the fastest settling time on the PID-ACO controller 11.5 seconds

Desain Pengaturan Governor Menggunakan Proportional Integral Derivative (PID) Pada Sistem Pembangkit Listrik Tenaga Mikro Hidro (PLTMH) Berbasis Particle Swarm Optimization (PSO) Kadaryono,; Machrus Ali; Muhlasin,; Budiman
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 8 No. 1 (2017): April 2017
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v7i2.122

Indonesia sangat banyak akan kekayaan alam yang terkandung di dalamnya. Akan sangat disayangkan apabila potensi sungai yang besar ini dibiarkan tanpa ada inovasi untuk memanfaatkan potensi sungai ini agar bermanfaat bagi warga sekitar yang kebanyakan terdiri dari warga golongan ekonomi kelas menengah kebawah, mengingat juga tarif dasar listrik saat ini semakin naik. Permasalahan yang sering terjadi pada sistem pembangkit mikro hidro adalah terjadinya putaran tidak konstan generator yang disebabkan oleh perubahan beban yang tersambung. Sehingga menyebabkan terjadinya fluktuasi frekuensi pada sistem yang dapat mengakibatkan kerusakan peralatan listrik. Oleh karena itu dalam penelitian ini dibahas sebuah strategi pengendali frekuensi berbasis Proportional Integral Derivative (PID). PID merupakan alat kontrol yang dapat mengontrol frekuensi agar bisa stabil. Untuk mendapatkan parameter PID yang optimal pada sistem pembangkit mikro hidro ini digunakan metode Particle Swarm Optimization (PSO). Hasil simulasi menunjukkan bahwa penerapan PSO terhadap PID pada sistem pembangkit mikro hidro, dapat mempercepat settling time respon perubahan frekuensi dan juga memperbaiki overshoot respon frekuensi sistem.

Optimasi Kontroler Putaran Motor Permanent Magnet Syschronous Machine (PMSM) menggunakan PSO-ANFIS (Studi Kasus di Perumdam Tirta Kencana) Ibrahim, Muhammad; Ramadhan, Dannel; Rukslin, Rukslin; Ali, Machrus; Muhlasin, Muhlasin
Elsains : Jurnal Elektro Vol 2 No 2 (2020): Elsains : Jurnal Elektro
Publisher : Program Studi Teknik Elektro, Fakultas Teknik, Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/elsains.v2i2.4770

PMSM menggunakan prinsip percobaan faraday dengan memutar magnet dalam koil dengan memanfaatkan sumber energi lain. Ketika magnet bergerak dalam koil atau sebaliknya. Rotasi mesin akan mengubah fluks gaya magnet pada kumparan dan menembus secara tegak lurus ke kumparan sehingga timbul perbedaan potensial antara ujung-ujung kumparan. Itu disebabkan oleh perubahan fluks magnet. Untuk mendapatkan metode kontrol terbaik, diperlukan beberapa model kontrol kecepatan. Dalam penelitian ini membandingkan kontrol kecepatan PMSM tanpa pengontrol, PID Kontrol, PID-PSO, dan hibrid PID-PSO-ANFIS. Hasil simulasi menunjukkan bahwa model terbaik pada pengontrol PID-PSO-ANFIS yang paling dekat dengan Speed Reff (2980 rpm) adalah bahwa ANFIS memperoleh profil rotasi dengan undershot terkecil, kondisi mantap tercepat, profil arus keluaran terbaik, profil torsi terbaik , dan profil tegangan terbaik. Hasil penelitian ini akan diikuti oleh penggunaan kecerdasan buatan lainnya

The comparison of dual axis photovoltaic tracking system using artificial intelligence techniques Machrus Ali; Aji Akbar Firdaus; Hamzah Arof; Hidayatul Nurohmah; Hadi Suyono; Dimas Fajar Uman Putra; Muhammad Aziz Muslim
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 4: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i4.pp901-909

In this paper, the efficiency of photovoltaic panels is improved by adding a sun tracking system. The solar tracking system is used for tracking the sun so that photovoltaic always faces the sun. This system uses a dual axis consisting of horizontal rotation axis and a vertical rotation axis. The horizontal rotational axis motion is to follow the azimuth angle of the sun from north to south. Then, to follow the sun's azimuth angle from east to west is the vertical axis motion. Both types of movements are controlled using a PID controller that is optimized with an artificial intelligence approach, namely particle swarm optimization (PID-PSO), firefly algorithm (PID-FA), imperialist competitive algorithm (PID-ICA), bat algorithm (PID-BA), and ant colony optimization (PID-ACO). Experiments of various approaches were carried out and the corresponding performance compared. The experimental results show that PID-BA performs best in terms of settling time and overshoot. The results also allow the comparison of different PID controller and the calculation of the fastest completion time.

Modifikasi Desain PID Controller Pada Permanent Magnet Synchronous Motor Dengan Flower Pollination Algorithm Muhammad Ruswandi Djalal; Machrus Ali; Andi Imran; Herlambang Setiadi
Jurnal Teknik Elektro Vol 6, No 2 (2017): Jurnal Teknik Elektro
Publisher : Situs resmi ITP Press

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

The use of PID (Proportional-Integral-Derivative) controllers on a synchronous motor is very widely used, because of its simple, robust structure that is robust and easy to use. The use of PID controllers requires proper parameter setting for optimal performance on the motor. The most commonly used solution is the trial-error method, to determine the proper parameters for PID, but the results do not make the PID controller optimal. Lately there has been a lot of research to optimize PID controller, wrong with smart method. For this purpose, we will use Flower Pollination Algorithm (FPA) optimization method to optimize and determine the exact parameters of PID. FPA is one method that is being adapted from the process of plant pollination, so this concept is adapted and applied to be. From the results that have the FPA method can be well tuned parameters PID, so that the resulting overshoot faster and settling time is very fast. Optimization results Kp 0.9441, Ki 0.9311, Kd 0.0840. In this study will discuss uncontrolled motors, with PID trial-error controller, PID-PSO and PID-FPA.Keywords: Sync motor, PID, Trial-Error, PSO, FPA, Overshoot, Settling time

Comparison of LFC Optimization on Micro-hydro using PID, CES, and SMES based Firefly Algorithm Kadaryono Kadaryono; Rukslin Rukslin; Machrus Ali; Askan Askan; Asnun Parwanti; Iwan Cahyono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Micro-hydro gets potential energy from water flow that has a certain height difference. Potential energy is strongly influenced by high water fall. Potential energy through pipes, incoming turbines converted into kinetic energy. The kinetic energy of the turbine coupled with the generator is converted into electrical energy. Some components used for micro-hydro power generation, among others; intake, settling basin, headrace, penstock, turbine, draft tube, generator, and control panel. Water flows through the pipe into the turbine house so it can rotate the turbine blades. Turbine rotation is used to rotate a generator at the micro hydro generator. The most common problem with micro-hydro generating systems is inconsistent generator rotation caused by changes in connected loads. Load changes can cause system frequency fluctuations and may cause damage to electrical equipment. Artificial Intelligence (AI) is used to obtain the right constants to obtain the best optimization. In this study compare the control method, namely; Proportional Integral Derivatives (PID), Capacitive Energy Storage (CES), and Superconducting Magnetic Energy Storage (SMES). This study also compared the method of artificial intelligence between Particle Swarm Optimization (PSO) method has been studied with the method of Firefly Algorithm (FA). Overall this study compares 11 methods, namely methods; uncontrolled, PID-PSO method, PID-FA method, CES-PSO method, CES-FA method, SMES-PSO method, SMES-FA method, PID-CES-PSO method, PID-CES-FA method, PID-SMES - PSO, and PID-SMES-FA method. The results of the simulation showed that from the 11 methods studied, it was found that the PID-CES-FA method has the smallest undershot value, ie -7.774e-03 pu, the smallest overshoot value, which is 4.482e-05 pu, and the fastest completion time is 7.11 s. These results indicate that the smallest frequency fluctuations are found in the PID-CES-FA controller. Thus it is stated that the PID-CES-FA method is the best method used in the previous method. This research will use other methods to get the best controller.

OPTIMASI KECEPATAN MOTOR DC MENGGUNAKAN PID DENGAN TUNING ANT COLONY OPTIMIZATION (ACO) CONTROLLER Mochammad Nur Masrukhan; Mochamad Piono Mulyo; Dwi Ajiatmo; Machrus Ali
SENTIA 2016 Vol 8, No 2 (2016)
Publisher : SENTIA 2016

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (763.915 KB)

Characters of the DC motor is non linear and for the permanent magnet is linear. Non- linear characteristics of DC motors such as friction and saturation can degrade the performance of conventional controls. This can be overcome by intelligent control based Artificial Intelligent (AI). In this study, designed the model of DC motor speed control using multiple controls, which autotuning matlab PID control, PID with tuning Ant Colony Optimization (ACO). The results of the performance of the model DC motor speed control using the PID-ACO found to have a steady state error, settling time and overshoot are better than the PID Autotuning Matlab, PID-ZN (Ziegler Nichols PID). From the results of running the program get that PID-ACO in this study is the best controller with the fastest time settling is 0.55 seconds and overshot the smallest is 1,017.

DESAIN PITCH ANGLE CONTROLLER TURBIN ANGIN DENGAN PERMANENT MAGNETIC SYNCHRONOUS GENERATOR (PMSG) MENGGUNAKAN IMPERIALIST COMPETITIVE ALGORITHM (ICA) Machrus Ali; Soedibyo Soedibyo; Imam Robandi
SENTIA 2015 Vol 7, No 1 (2015)
Publisher : SENTIA 2015

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (623.442 KB)

Tulisan ini membandingkan dua macam metode tuning parameter Proporsional Integrator Diferensial (PID) kontroler untuk mengatur kecepatan turbin angin dengan pitch angel control. Yang pertama adalah desain kontroler dengan metode Ziegler-Nichols, kedu aadalah desain kontroler dengan metode Imperialist Competitive Algorithm (ICA). PID controller merupakan sebuah alat untuk mengontrol sebuah sistem, PID controller ini digunakan untuk mengontrol Permanent Magnet Synchronous Generator (PMSG). Pitch variable-speed wind turbine telah berkembang pesat dalam beberapa tahun terakhir. Ada dua strategi control untuk mengontrol variable kecepatan pada wind turbine. Saat kecepatan angin rendah di bawah nilai rata-rata, pengatur kecepatan harus dapat mengatur kecepatan rotor secara terus-menerus untuk mempertahankan kecepatan pada sebuah level, yang memberikan koefisien daya maksimum, sehingga efisiensi turbin akan meningkat. Pengaturan pitch angle diperlukan dalam kondisi kecepatan angin diatas yang diinginkan. Perubahan kecil pada pitch angle dapat mempengaruhi output daya. Pitch angle control adalah salah satu cara untuk menyesuaikan torsi aerodinamik pada tubin angin saat kecepatan angin berada diatas nilai kecepatan dan beberapa variable control lainnya, seperti kecepatan angin, kecepatan generator, dan daya generator. Hasil penelitian menunjukkan bahwa menggunakan PID controller yang ditunning dengan ICA lebih stabil dan daya output lebih optimal. Metode yang diusulkan dapat diterapkan pada sistem yang lebih tinggi.

DESIGN OF WATER LEVEL CONTROL SYSTEMS USING PID AND ANFIS BASED ON FIREFLY ALGORITHM Machrus Ali; A N Afandi; Asnun Parwati; Ruslan Hidayat; Cholil Hasyim
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol 2, No 1 (2019): February 2019
Publisher : Merdeka Malang University

At present, a controlling system of the fluid flow measurement is needed in industrial processes. Determination of the water quantity is also used to reduce the volume of water usage in the holding tank varies. The effort to overcome this problem has made using a system for regulating performances while a water flow based on the tank volume controlled using a PID system. This system uses a flow sensor to detect the water speed, an electric ball valve as an actuator. In principles, this tool is used to stabilize the output water speed per minute at a predetermined set point. This study is focused in five designed method comparison in associated with a water level without control, standard PID method, PID-Auto tuning method Matlab, PID-FA method, and ANFIS-PID-FA method. The results of the PID-FA training data are used as an input from ANFIS. From the simulation, it is also found that five control models have different performances while the ANFIS-PID-FA model is performed in the best control model. The ANFIS-PID-FA model has also the smallest overshot and undershot on the water level and output flow of 0.0021 pu, 0.0093 pu, 0.0072 pu, and 0.0096 puDOI : https://doi.org/10.26905/jeemecs.v2i1.2804

Co-Authors A'izzatul Khiyana A.A. Ketut Agung Cahyawan W A.N. Afandi Abda Abda Achmad Afandi Achmad Muzajjad Achmad Zaini Achmad Zaini Achmad. Zaini Agus Fahmi Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani, Agus Agus Siswanto Agustina, Devita Ahmad Ali Syaifudin Ahmad Fajar Rohmatullah Ahmad Fathurrobbani Ahmad Fauzi Ridhwan Ahmad Fauzi Ridhwan Ahmad Yusuf Andrian Putra Alfian, Riski Alysia, Agnes Amir Maliki Abitolkha Anang Rohmad Jatmiko Andi Imran Andini, Tarrisma Delvy Angga Yodhas Tangkara Arga Prabowo Ardi Junianto Ardita Febri Tiyariansyah Ardiyan Abi Winata Ardiyan Abi Winata Arfaah, Saiful Ari Octaviyan Arie Pambayun, Yoga Arif Rahman Sujatmika Arrohman, Muhammad Arwan Satriaji, Faldy Arya Sula Cakra Buana Askan Askan Askan Askan Askan, Askan Askan, Askan Aslichah aslichah aslichah Asnun Parwanti Asnun Parwanti Asnun Parwati Avi Maida W Bima Aulia Firmandani Budi Utomo Budiman Budiman Budiman Budiman Budiman Budiman Budiman Budiman Budiman Budiman Budiman Cahyono, Iwan Cakra Buana, Arya Sula Cakra Buana, Arya Sulka Choiruddin Choiruddin Cholil Hasyim Ciptian Weried Priananda Dafit Soni Setiawan Dafit Soni Setiawan Dandy Tulus Herlambang Dannel Ramadhan Delief Wida Khaidir Dian Maharani Dimas Fajar Uman Putra Dina Mariani Dwi Ajatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Hariska, Maulana Dwiana Hendrawati Dyah Rakhwati Tri Atmayanti Elfizar Novrianto Enggal Indra Gunawan F Yudi Limpraptono Fachrudin Hunaini Faisal Faisal Faisal Faisal Fajardika, Risky Fariz Rifqi Zul Fahmi Farrel Candra W.A Febrian Rizal Anas Firda Amalia Firdaus, Aji Akbar Fresy Nugroho Fuad Dwi Hanggara Hadi Suyono Hadi Suyono Haikal, Muhammad Agil Hamzah Arof Hari Sufitrihansyah Hari Sufitrihansyah Hasib Al-Isbilly, M. Hendi Sopian Hendi Sopian Hendro Dripoyono Hendro Dripoyono Herlambang Setiadi Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah, Hidayatul Hofman Darmawan Ilham Anshoruddin Imam Robandi Intan Sekar Novitasari Iwan Cahyono Izzatul Umami Izzatul Umami Jatmiko, Anang Jatmiko, Anang Rohmad JUNAEDI Kadaryono Kadaryono Kadaryono Kadaryono Kadaryono Kadaryono Kadaryono Kadaryono, Kadaryono, Kadaryono Kadaryono, Kadaryono Kholish Fadlili Kholish Ghoutsul Fadlili Kusuma Apsari, Venda Lailia Rahmawati Lantip Trisunarno Latiana, Eka Laudhie Primadonni Kusumajaya Luqman Hakim Luqman Hakim Lutfi Cahyanto, Iqbal M Agil Haikal M Ibrahim M Ibrahim M. Ibnu Masrur M. Ibnu Masrur M. Teguh Proyoga Markhaban Siswanto Markhaban Siswanto Maulana Dwi Hariska Mei Indrawati Mei Indrawati Michael Ardhita Miftachul Jannah Firdaus Miftachul Jannah Firdaus Miftachul Ulum Miftachul Ulum, Miftachul Miftahul Djanah Mochamad Ali Fikri Haiqal Mochamad Ali Rofiq Mochamad Ali Rofiq Mochamad Piono Mulyo Mochammad Heru Widodo Mochammad Nur Masrukhan Mohamad Mohsin Mohammad Hasib Al Isbilly Mualifi Usman Mudofar Baehaqi Muh Alfian Affandi Muh Alfian Affandi Muhamad Afif Dwi Wijaya Muhammad Ade Yusuf Alghifrani Muhammad Agil Haikal Muhammad Amirul Wahid Muhammad Aziz Muslim Muhammad Aziz Muslim Muhammad Ibrahim Muhammad Nur Hidayat Muhammad Ruswandi Djalal Muhammah Agil Haikal Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin, Muhlasin, Muhlasin Nasrul Fatkhur Nasrul Fatkhur Nieke Rudyanty Winanda Novi Nur S Nugroho, Meriana Wahyu Nur Fadhilah, Firda Nur Salam Nurrohmah, Hidayatul Parwanti, Asnun Puji Astoro, Fany Wahyu Putra, Ahmad Yusuf Adriyan Putri Bahiyyah Ramadhan, Dannel Rio Firmansyah Rizal Anas, Febrian Rizqi Nafiardli Rizqi Nafiardli Rukhslin Rukmi Budirahaju Rukmi Burdirahaju Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rusklin Ruslan Hidayat Ruslan Hidayat Ruslan Hidayat Ruslan Hidayat Ryo Setyawan Saiful Arfaah Saiful Arfaah Sayekti Suindyah D Sayekti Suindyah Dwiningwarni Septa Dwi Candra Septa Dwi Candra Setiawan Setiawan Setiawan Shofwatal Qolbiyyah Siswanto, Agus Soedibyo Soedibyo Soraya Eka Hapsari Suhadak, Akemad Sunarti Sunarti Sunarti Sunarto Sunarto Syamsiyah Yuli Dwi Andari Syamsiyah Yuli Dwi Andari Titin Sundari Titis Amujiati Totok Yulianto Tri Mukti Lestari Triana Triana Triana Tubagus Fahmi Ulum, Miftachul Usman, Mualifi Utoyo Efendi Venda Kusuma Apsari Wardatul Mufidah Wiky Krisdianto Wiky Krisdianto Winarti Yanuangga Galahartlambang Yanuar Mahfudz Safarudin Yanuar Mahfudz Safarudin Yoga Arie Pambayun Yoga Arie Pambayun Yurilla Endah Muliatie, Yurilla Endah Zahwa, Aila Vairus

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