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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Applied Power Engineering (IJAPE) International Journal of Advances in Applied Sciences MEDIA ELEKTRIKA Transmisi: Jurnal Ilmiah Teknik Elektro Mechatronics, Electrical Power, and Vehicular Technology Jurnal Sains dan Teknologi Jurnal Teknik Elektro Jurnal Teknik Elektro JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Sinergi Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics CESS (Journal of Computer Engineering, System and Science) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics PROtek : Jurnal Ilmiah Teknik Elektro Journal of Electrical Technology UMY Jurnal Teknologi dan Sistem Komputer International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science Jurnal TAM (Technology Acceptance Model) Abdimas Dewantara JURNAL INSTEK (Informatika Sains dan Teknologi) SENTIA 2015 INTEK: Jurnal Penelitian Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan EPI International Journal of Engineering Jurnal Teknologi Elekterika Jurnal Abdi Insani Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Fortech Jurnal Teknik Mesin Sinergi Makara Journal of Technology Techno Jurnal Ilmiah Teknik Elektro Journal of Advanced Technology and Multidiscipline (JATM) Sewagati Jurnal TAM (Technology Acceptance Model) Jurnal FORTECH Jurnal JEETech
Muhammad Ruswandi Djalal
Politeknik Negeri Ujung Pandang
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Application of Smart Bats Algorithm for Optimal Design of Power Stabilizer System at Sengkang Power Plant Djalal, Muhammad Ruswandi; Yunus, Muhammad Yunus; Nawir, Herman; Imran, Andi
International Journal of Artificial Intelligence Research Vol 1, No 2 (2017): December 2017
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.323 KB) | DOI: 10.29099/ijair.v1i2.26

Abstract

The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine the optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats based algorithm to design PSS. Bat Algorithm is an algorithm that works based on bat behavior in search of food source. Correlation with this research is, food sources sought by bats represent as PSS parameters to be optimized. Bat's algorithm will work based on a specified destination function, namely Integral Time Absolute Error (ITAE). In this research will be seen the deviation of velocity and rotor angle of each generator, in case of disturbance in bakaru generator. The analysis results show that the uncontrolled system produces a large overshoot oscillation, and after the addition of PSS oscillation control equipment can be muted. So that the overshoot and settling time of each generator can be reduced and the generator can quickly go to steady state condition
Design of a-based smart meters to monitor electricity usage in the household sector using hybrid particle swarm optimization - neural network Yunus, Muhammad Yusuf; Marhatang, Marhatang; Pangkung, Andareas; Djalal, Muhammad Ruswandi
International Journal of Artificial Intelligence Research Vol 3, No 2 (2019): December 2019
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (660.283 KB) | DOI: 10.29099/ijair.v3i2.82

Abstract

The procedure is training and testing the nerves that will be made. Matlab software has a Neural Network tool, which in this study will be used. Load sampling data is used as input data for neural network training. As output / target load classification is used. Load classification method, which is 1 for TV load classification, 2 for fan load, 3 for iron load, 4 for water pump load, 5 for lamp load, 6 for dispenser load, and 7 for fan iron load combination. The total load is 6 single loads and 1 combination load. One load combination was chosen because, on the combination load characteristics after the fan has characteristics that are not the same as the others. Data sampling of the current of each load will be used as neural network training. Load data used is 30 samples or for 30 seconds, with every minute the data is taken. From the results of the training, it can be seen that the biggest training error is in the seventh data, namely the identification of the load on the classification of the fan-iron load. This is because the current pattern on the iron and fan with the iron or fan itself has almost the same characteristics. However, for this process networks will be used and then the PSO optimization method is used to reduce the error, in the next study. From the test results, it is shown that by varying the input current data of each load, the network has been able to identify well, even though in the data classification load 7, the load of the iron-fan combination still has a large error. This will be corrected in subsequent studies with Particle Swarm Optimization (PSO) algorithm optimization.
Aplikasi Algoritma Differential Evolution untuk Desain Optimal Load Frequency Control pada Pembangkit Listrik Tenaga Hibrid Angin dan Diesel Djalal, Muhammad Ruswandi; Ali, Machrus; Nurohmah, Hidayatul; Ajiatmo, Dwi
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 (470.52 KB) | DOI: 10.25126/jtiik.201855430

Abstract

Perubahan fluktuasi frekuensi sangat mempengaruhi kualitas daya pada sumber energi terbarukan turbin angin yang dihibrid dengan diesel. Sistem hibrid adalah jaringan terkontrol dari beberapa pembangkit tenaga energi terbaharukan seperti : turbin angin, sel surya, mikrohidro dan sebagainya. Ada beberapa permasalahan yang dapat meningkatkan osilasi frekuensi rendah, seperti tidak optimalnya setting gain dan kecilnya waktu konstan pada Automatic Voltage Regulator, Terlalu banyak jaringan transmisi yang panjang sehingga kemampuan lemah (weak line). Dalam penerapannya sistem wind-diesel dikontrol dengan kontroler PID, namun dalam penyetelan nilai gain dari PID masih dalam metode trial-error saja, sehingga sulit untuk mendapatkan nilai optimum dari PID. Dalam penelitian ini diterapkan desain kontrol dengan menggunakan Metode Cerdas dalam mencari nilai optimum Proporsional Intergral Derivatif (PID) untuk mengatur frekuensi beban dengan program Matlab/ Simulink. Pemodelan wind-diesel menggunakan fungsi transfer dari diagram turbin angin dan diesel. Respon sistem dengan Simulink/ Matlab dengan membandingkan dengan sistem tak terkontrol dan dengan metode PID-Trial Error, menunjukkan bahwa besar overshoot dan respon keadaan mantap (Settling Time) pada sistem terkontrol Differential Evolution (DEVO) menjadi berkurang dan lebih cepat.AbstractChanges in load frequency greatly affect the power quality of renewable wind turbine energy sources with diesel. Hybrid power system is a network consisting of several renewable energy plants such as wind power, solar power, hydro power, and others. Some problems can increase the low frequency oscillations in the system, such as gain settings and small time constants of the non-optimal Automatic Voltage Regulator, long transmission lines so that their capabilities are weak (weak line). In some previous studies, the wind-diesel system is controlled by conventional Proportional, Integral, Derivative (PID) controllers, but the PID gain setting is still in the trial-error method, making it difficult to obtain optimal PID values. In this research, we proposed a method of optimizing PID parameters in wind-diesel by using intelligent method based on Differential Evolution (DEVO). The objective function of this research is to minimize Time Absolute Error (ITAE), so that the overshoot will be muted properly. Wind-diesel modeling uses the diagram of the transfer function of wind-diesel. From the analysis results obtained optimal PID parameters respectively, Kp = 79.9999, Ki = 59.9998, Kd = 9.9006. The smallest resulting overshoot is -7.932e-05 to 6.792e-10 pu where the smallest overshoot value is compared to other controller models. The frequency response obtained by optimal PID tuning will dampen the frequency oscillation due to load changes, indicated by small overshoot and fast settling time to steady state conditions.
Rancang Bangun Monitoring Kinerja Solar Cell Menggunakan Labview Djalal, Muhammad Ruswandi; Kadir, Nasrun
PROtek : Jurnal Ilmiah Teknik Elektro Vol 8, No 2 (2021): 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.v8i2.2760

Abstract

-Pemantauan terhadap parameter keluaran solar panel sangat diperlukan untuk menilai kinerja sebuah solar panel pada perubahan intensitas cahaya matahari. Pemantauan menggunakan software bertujuan agar pemantauan bersifat realtime sehingga dalam pemantauan tidak memerlukan cara manual dengan menggunakan alat ukur yang tidak bersifat realtime. Selain itu dapat juga difungsikan sebagai data logger, yang sewaktu-waktu dapat digunakan untuk keperluan analisis sistem. Maka, diperlukan sistem monitoring yang dapat mengukur, mengakuisisi, menampilkan dan menyimpan data pengukuran atau pemantauan kinerja solar panel. Untuk memenuhi kebutuhan tersebut, perangkat dan sistem monitoring dirancang agar memudahkan dalam kegiatan pemantauan unit pada lokasi yang terpasang. Data pemantauan juga diharapkan dapat diakses oleh pihak terkait dengan lebih mudah dan cepat. Pada penelitian ini, monitoring berguna untuk memberikan hasil pengukuran yang memiliki tingkat ralat atau error sekecil mungkin, mudah diakses secara realtime dan mampu menampilkan grafik hasil pengukuran. Perangkat lunak yang digunakan untuk sistem monitoring pada penelitian ini adalah software Labview yang mampu menujukkan kinerja tinggi dalam berkomunikasi dengan beberapa perangkat secara bersamaan dan kemampuan yang tinggi dalam menampilkan beberapa perilaku variabel dalam satu waktu. Pada penelitian ini, monitoring kinerja solar cell yang akan ditampilkan pada Labview adalah arus, tegangan, daya, debu, suhu dan kelembapan.
Characteristic Test of Diode Based Multisim Software Djalal, Muhammad Ruswandi; Rahmat, Rahmat
PROtek : Jurnal Ilmiah Teknik Elektro Vol 7, No 1 (2020): 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.v7i1.1213

Abstract

In this study, a diode characteristic testing will be conducted, namely the characteristics of forward bias and reverse bias using Multisim software. Diode components are mostly applied to electronic circuits, so a simulation is needed to determine the performance of the diode before it is applied to the circuit. The test to be carried out this time includes making a forward bias circuit and back bias on a diode, describing the characteristics of the diode, determining the diode's working point for a particular condition, and determining dc diode resistance in the forward bias and reverse bias. From the results of testing the forward bias characteristic, it can be seen that the silicon diode IN 4001 in forward bias increases the small current until the diode voltage (Vd) reaches its knee voltage (Vk) around 0.6 V - 0.7 V. After going through knee stress (Vk), then the increase in large currents. The workings of diodes like this can be said as diodes with deviant or biased currents. Whereas the reverse bias current is almost constant (almost close to zero) even though the voltage is increased continuously until it reaches a voltage of 50 V. How it works like this is called a diode with reverse current.
Penerapan SMES untuk Load Frequency Control pada PLTMH Menggunakan Ant Colony Optimization Faisal, Faisal; Ruswandi Djalal, Muhammad; Ali, Machrus
Jurnal FORTECH Vol. 5 No. 1 (2024): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v5i1.5101

Abstract

This research proposes an additional controller for load frequency control at a micro hydro power plant using PID-SMES. The PID-SMES parameters are optimized using smart methods called Ant Colony Optimization (ACO), which could find the optimal value of PID-SMES. In this paper four control approaches are compared which are P, PI, PID, SMES, and PID-SMES. From the simulation results, it can be obtained that overshoot of P controller is -0.0002193, with PI Controller is -0.0002183, with PD Controller is -0.0002139, with PID controller is -0.0002129, with SMES controller is -0.0001958, and with PID-SMES is -4.187e-05. ACO optimization results obtained fitness function value of 7.15e-09, with 50 iterations. The minimum value of the system performance function at each iteration is plotted on the convergence graph. In the simulation result, it can be concluded that the ACO algorithm could be quickly convergence on the 14th iteration or find the most optimal value at the 9th iteration. The PID-SMES controller proposed in this study has a significant influence in the damping of the oscillation of frequency deviation. Therefore, PID-SMES is appropriate to be applied to micro-hydro power plant.
Optimasi Pembangkitan Ekonomis Berbasis Whale Optimization Algorithm Pada Sistem Multimesin Nurohmah, Hidayatul; Sula Cakra Buana, Arya; Rukslin, Rukslin; Ali, Machrus; Ruswandi Djalal, Muhammad
Jurnal FORTECH Vol. 6 No. 2 (2025): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v6i2.6102

Abstract

This study addresses the problem of generation cost optimization for thermal power plants in the Sulbagsel multimachine power system. An advanced swarm intelligence approach, the Whale Optimization Algorithm (WOA), is employed as the primary optimization technique. WOA, inspired by the bubble-net hunting strategy of humpback whales, has emerged as a promising metaheuristic with strong capabilities in exploration and exploitation. The main objective of this study is to minimize thermal generation costs while ensuring effective performance under real system operating conditions. To provide a comparative benchmark, Particle Swarm Optimization (PSO) is also applied to the same problem. Statistical evaluation is conducted to assess convergence behavior, accuracy, and consistency of both methods. The results indicate that WOA demonstrates superior balance between exploration and exploitation, leading to stable convergence and reliable solutions. Under peak daytime load conditions, PSO achieves a cost reduction of 23.02%, whereas the proposed WOA-based method achieves a comparable reduction of 23.78%. Although PSO yields a slightly higher cost saving, WOA demonstrates stronger robustness and statistical reliability across multiple trials. These findings confirm that WOA is a competitive alternative for generation cost optimization in complex multimachine systems, offering significant potential for future applications in economic dispatch problems with larger-scale renewable energy integration.
Optimasi Pembangkitan Ekonomis Berbasis Whale Optimization Algorithm Pada Sistem Multimesin Nurohmah, Hidayatul; Sula Cakra Buana, Arya; Rukslin, Rukslin; Ali, Machrus; Ruswandi Djalal, Muhammad
Jurnal FORTECH Vol. 6 No. 2 (2025): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v6i2.6102

Abstract

This study addresses the problem of generation cost optimization for thermal power plants in the Sulbagsel multimachine power system. An advanced swarm intelligence approach, the Whale Optimization Algorithm (WOA), is employed as the primary optimization technique. WOA, inspired by the bubble-net hunting strategy of humpback whales, has emerged as a promising metaheuristic with strong capabilities in exploration and exploitation. The main objective of this study is to minimize thermal generation costs while ensuring effective performance under real system operating conditions. To provide a comparative benchmark, Particle Swarm Optimization (PSO) is also applied to the same problem. Statistical evaluation is conducted to assess convergence behavior, accuracy, and consistency of both methods. The results indicate that WOA demonstrates superior balance between exploration and exploitation, leading to stable convergence and reliable solutions. Under peak daytime load conditions, PSO achieves a cost reduction of 23.02%, whereas the proposed WOA-based method achieves a comparable reduction of 23.78%. Although PSO yields a slightly higher cost saving, WOA demonstrates stronger robustness and statistical reliability across multiple trials. These findings confirm that WOA is a competitive alternative for generation cost optimization in complex multimachine systems, offering significant potential for future applications in economic dispatch problems with larger-scale renewable energy integration.
Mixed-Integer Linear Programming for Optimal Operation of Integrated Electricity and Natural Gas System Considering Take or Pay Agreements Ervina Nooraini; Mohamad Almas Prakasa; Muhammad Ruswandi Djalal; Rony Seto Wibowo; Imam Robandi
JUTI: Jurnal Ilmiah Teknologi Informasi Vol.23, No.2, July 2025
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v23i2.a1265

Abstract

This paper is proposed to demonstrate the implementation of Mixed-Integer Linear Programming (MILP) for solving the optimal operation of the Integrated Electricity and Natural Gas System (IENGS). The MILP is used to realize an economical and reliable power electricity system based on Dynamic Optimal Power and Gas Flow (DOPGF) considering Take or Pay (TOP) agreements for natural gas. This method is simulated on the integrated 6-bus electricity and 6-node natural gas systems. By using MILP, the best costs for optimal operation of IENGS are obtained in three scenarios. The superiority of the MILP is validated by suppressing the increasing best cost for optimal operation to be below 10%. In the first case, the best cost is $735,405.37 without the TOP agreement. In the second scenario, the best cost ranges from $748,399.30 to $760,320.57 with the TOP agreement implemented in one-by-one generators, which is 1.77% to 3.39% higher than the first scenario. In the third case, the best cost is $791,833.04 with the TOP agreement in all of the generators, which is 7.67% higher than the first scenario. In addition, the MILP can perform the DOPGF for IENGS without violating the problem constraints regarding the load demand fulfillment and power system limitations in both coal-fired and gas-fired generators.                                                        
Implementasi Trainer Pembangkit Listrik Tenaga Surya Berbasis Internet of Things Sebagai Media Pembelajaran Di SMK Negeri 4 Kabupaten Soppeng Ruswandi Djalal, Muhammad; Serpian, Serpian; Mulyadi, Musrady; Usman, Usman; Faisal, Faisal; Robandi, Imam; Almas Prakasa, Mohamad; Ramadhani, Akhmad; Ridho, Hasan; Aulia, Gustav; Furqoan, Muhammad; Abraham, Richard; Aksan, Ahmad; Mahdiah, Hakimah; Tazkiyatunnisa, Tazkiyatunnisa; Fayyad, Moh; Jelang Ramadhan, Muhammad; Musrifinah, Musrifinah; Dwi Syahimullah, Akzar; Ardiansya Samsul, Vito; Sudaryono, M; Zahir, Ahmad; Mursid, Muhammad; Mallarangeng, Andi; Zaky Khalik, Fuad; Al-Furqan, Muhammad; Afdhal, Muhammad
Sewagati Vol 9 No 6 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i6.8094

Abstract

Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan meningkatkan kompetensi teknologi energi terbarukan di SMK Negeri 4 (SKAPAT) Kabupaten Soppeng, Sulawesi Selatan, melalui implementasi trainer Pembangkit Listrik Tenaga Surya (PLTS) berbasis Internet of Things (IoT) sebagai media pembelajaran. Latar belakang kegiatan ini adalah terbatasnya fasilitas dan pemahaman guru serta siswa terkait teknologi Energi Baru Terbarukan (EBT), khususnya PLTS. Metode pelaksanaan meliputi perancangan, pembuatan, simulasi, uji coba, dan implementasi trainer PLTS skala laboratorium. Sistem yang dirancang menggunakan dua modul panel surya 120 Wp, Solar Charge Controller (SCC), inverter 1600 W, Automatic Transfer Switch (ATS) dan baterai VRLA 50 Ah. Fitur IoT digunakan untuk memonitoring tegangan, arus, dan daya secara real-time serta mengontrol beban listrik melalui aplikasi ponsel. Trainer PLTS terbukti optimal sebagai media praktikum, dan pelatihan berhasil meningkatkan pemahaman guru serta siswa tentang pengoperasiannya. Kegiatan ini mendukung SDGs 4 & 7 dan berpotensi direplikasi untuk memperluas literasi energi terbarukan di SMK lain.
Co-Authors A. M. Shiddiq Yunus A. M. Shiddiq Yunus A.M Shiddiq Yunus A.M Shiddiq Yunus Abraham, Richard Adnan Ainun Hasri Afdhal, Muhammad Ahmad Ilham, Amil Ahmad Rosyid Idris Ahmed Abu-Siada Akhmad Ramadhani Akhmad Taufik Aksan, Ahmad Al Irsad, Muhammad Afif Al-Furqan, Muhammad Alkautsar, Rifaldi Almas Prakasa, Mohamad Andareas Pangkung Andareas Pangkung Andarini Asri Andi Aris Mattunruang Andi Imran Andi Imran Andi Muh. Ilham Andi Wely Fauziah Apollo Apollo Apollo Apollo Apollo Apollo Apollo Apollo Ardaniah, Ardaniah Ardiansya Samsul, Vito Aulia Sabril Aulia, Dzacky Aulia, Gustav Awan Uji Krismanto Buana, Chandra Budiman Budisantoso Wirjodirdjo Candra Riawan, Dedet Caturindah, Winarty Chandra Bhuana Deum Patria F Abbas Dian, Faizal Dillah, Zahran Atha Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Lastomo, Dwi Dwi Syahimullah, Akzar Dwia Ayanis, Rifa Eddy Setyo Koenhardono, Eddy Setyo Ervina Nooraini Faisal Faisal Faisal Faisal Faisal Faisal Faisal Faisal Fayyad, Moh Firdaus Firdaus Firdaus, Aji Akbar Furqoan, Muhammad Ghazi, Argon Luthfan Golda Evangelista Patrix Hadi Suyono Haque, Gabriel Harus Laksana Guntur Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herman HR Herman HR Herman Nauwir Herman Nawir Herman Nawir Herman Nawir Herman Nawir, Herman Hidayat, Muh. Taufik Imam Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah, Hidayatul Himawari, Waseda HR, Herman HUTORO, KOKO I Nyoman Adi Putra Imam Robandi Imam Robandi Imam, Muhammad Taufik Imron, Khafit Irsad, Muh. Afif Al Ismail, Haryono Izza Anshory Jamaaluddin Jamal, M Fachmi Jelang Ramadhan, Muhammad Kadir, Nasrun Kumala, Arimbi La Ode Musa Lastomo, Dwi Lewi Lewi Lewi Lewi Machrus Ali Machrus Ali Mahdiah, Hakimah Makmur Saini Mallarangeng, Andi Marhatang Marhatang Maudini Maudini Mega Fatimah Rosana Mohamad Almas Prakasa Mohamad Almas Prakasa Muchyiddin, Muhammad Imam Muh Amar Syarifuddin Muh. Ikhra Aliefka Putramardani Muh. Ilham, Andi Muh. Yusril Hamma Muhammad Aldy Rezaldy Muhammad Azhar Muhammad Aziz Muslim Muhammad Sulfajar Mas’ud Muhammad Thalib Muhammad Yunus Muhammad Yunus Yunus, Muhammad Yunus Muhammad Yusuf Mappeasse Muhammad Yusuf Yunus Muhammad Yusuf Yunus Muhammad Yusuf Yunus Muhammad Yusuf Yunus Mukhtaram, Nurrafii Al MULKI, ABDUL MALIKIL Mursid, Muhammad Musrady Mulyadi Musrifinah, Musrifinah Musthofa, Arif Mustika Ayu Nahlah, Nahlah Nasrun Kadir Nasrun Kadir Nasrun Kadir Natha, Kanidra Nur Hamzah Nur Hamzah Nurul Andini PAISAL PAISAL Palantei, Elyas Prakasa, Mohamad Almas Purnama, Rahma Rahmat Rahmat Rahmat Rahmat Rahmat Rahmat Rahmat Rahmat Ramadhani, Akhmad Remigius Tandioga Remigius Tandioga Remigius Tandioga Ridho, Hasan Rifa Dwia Ayanis Rony Seto Wibowo Rustang Rustang Saputra, Reki Aji Satria, Moch. Adri Serpian, Serpian Shiddiq Yunus, A.M Sianturi, Farhan Soedibyo Soedibyo Sonong Sudaryono, M Sula Cakra Buana, Arya Syam, Syahril Takdir, Ahmad Tangko, Jumadi Tasrif Tasrif Tazkiyatunnisa, Tazkiyatunnisa Usman Usman Usman Usman Vita Lystianingrum Vita Lystianingrum Yanuar Mahfudz Safarudin Yudhi Leo Chandra Yusril Has Barlian Yusuf Yunus, Muhammad Zahir, Ahmad Zaky Khalik, Fuad