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Modified Starch-Based Materials for Sustainable Food Packaging Kusuma, Isnainul; Rahmadhia, Safinta Nurindra; Ma'arif, Alfian; Aktawan, Agus; Juwitaningtyas, Titisari; Ramli, Nor Hanuni; Olunusi, Samuel Olugbenga
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 1 (2026): February
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i1.15092

Abstract

Food packaging is a significant contributor to plastic waste, prompting a search for sustainable alternatives. Among these alternatives, modified starch-based materials have emerged as promising solutions due to their biodegradability, renewability, and abundance. However, the hydrophilic nature, poor mechanical properties, and limited thermal stability of native starch pose challenges for its use in food packaging. This review explores various modification techniques—chemical, physical, and enzymatic—that enhance the performance of starch-based materials for food packaging. The methods discussed include acetylation, crosslinking, heat-moisture treatments, and enzymatic hydrolysis, each improving the material's strength, flexibility, and barrier properties. Results demonstrate that starch modifications significantly improve the mechanical, thermal, and water vapor barrier properties of packaging films. Notably, the combination of modified starch with other biopolymers such as chitosan or gelatin further enhances these properties, making them suitable for active packaging applications. The incorporation of antimicrobial agents and nanofillers into starch-based films has expanded their functionality, enabling food shelf-life extension and quality monitoring. Despite these advancements, challenges remain in balancing the biodegradability and durability of starch-based films. Future research should focus on optimizing modification processes, enhancing scalability, and addressing regulatory concerns to ensure the commercial viability of modified starch as an eco-friendly packaging material.
Implementation of an Automatic Controlled Power Factor Correction System Utilizing Low-Cost Modules Sneineh , Anees Abu; Salah, Wael A.; Ma'arif, Alfian
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 1 (2026): February
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i1.14215

Abstract

This paper presents the design and implementation of a PIC microcontroller-based power factor correction system using a stepped capacitor bank and low-cost analog measurement modules. The proposed design aimed to address the low power factor issue caused by inductive loads that intern increases the current, losses, and apparent power demand. The developed PIC-based controller integrated analog conditioning circuits for voltage, current, and phase-angle measurement. The proposed system acquires analog signals from a voltage transformer, a current transformer–op-amp module, and an AD8302-based phase detector, computes real, reactive, and apparent power in real time, and automatically connects or disconnects capacitor-bank steps to maintain the power factor within a predefined band (0.92–0.98). Experimental results on a 4 kW inductive load array indicated that the measurement error of the analog voltage module was approximately 1.32%, while the analog current module exhibited an error of around 3.02% in comparison to digital measuring instruments. Additionally, there was an improvement in the power factor from 0.865 to 0.935, with by a reduction in load current of approximately 7% and a decrease in load reactive power of about 35%. The proposed design confirms satisfactory operation for automatic capacitor-bank control in power factor correction applications.
DC Motor Angular Speed Controller Using an Embedded Microcontroller-Based PID Controller Ma'arif, Alfian; Nugraha, Ikhwan; Maghfiroh, Hari; Furizal; Suwarno, Iswanto
Emerging Science Journal Vol. 9 No. 6 (2025): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-06-03

Abstract

This research presents the implementation of a Proportional Integral Derivative (PID) controller to control the angular speed of a Direct Current (DC) motor using an embedded system (microcontroller). The system’s hardware consists of an Arduino microcontroller, a DC motor with an encoder sensor, a driver motor, and a power supply. Proportional control regulates the response proportionally to the calculated error, while integral control manages the cumulative error over time, and derivative control responds to the rate of change of the error, preventing overshoot. With a proper combination, PID control achieves stability, speeds up response, and reduces overshoot, improving overall system performance. Based on experimental data, the DC motor angular speed control system using PID control achieves the best results, in which the parameter values are Kp=1; Ki=0.3; and Kd=0.6. The augmented system responded with 0.0890 seconds of the rise time, 11.772 seconds of settling time, and 0.12 seconds of the peak time, with an overshoot of less than 10% (7%).
Genetic Algorithm Tuned Controllers for High-Performance Indirect Field-Oriented Control in DFIG-Based WECS Heroual, Samira; Belabbas, Belkacem; Ayati, Kheloud; Haloui, Rabia; Hassan, Ahmed Tawfik; Ma’arif, Alfian; Mahmoud, Mohamed Metwally; Blazek, Vojtech
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 1 (2026): February
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i1.15529

Abstract

Due to rising environmental awareness, rising fuel prices, and increasing power consumption, wind power is currently the world's fastest-growing electricity source. One essential form of renewable energy generation is wind energy conversion using a Doubly Fed Induction Generator (DFIG). Moreover, DFIGs are the best option, as wind turbines with variable speeds often have substantial megawatt capacity. Their cost-effectiveness, high operational efficiency, adaptable control mechanisms, and capacity to autonomously regulate the exchange of active and reactive power are the reasons for this selection. Classical control, which is based on PI regulators and employs several loops, is the most popular control approach that makes use of the indirect field-oriented vector method. In order to ensure stability across the whole speed range, it also requires strict regulation and is highly dependent on the correctness of the machine parameters. This paper presents a comparison between the classical PI and the metaheuristic Genetic Algorithm (GA), aiming to enhance the power extraction of DFIG under varying wind conditions. The simulation was carried out using MATLAB-SIMULINK, enabling the exploration of its performance across a range of operational scenarios. The results indicate that the PI controller optimized by GA demonstrates significant improvements over traditional controllers, particularly noted for its simplicity, faster convergence, and greater efficiency in power management.
Mapping the Role of Electrochemistry in Advancing Sustainable Development through Chemistry Education Fitri, Hajidah Salsabila Allissa; Ma'arif, Alfian; Rashid, Salman; Kalyazifa, Davira Oxana; Joronavalona, Rasamimanana
Control Systems and Optimization Letters Vol 4, No 1 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v4i1.313

Abstract

The integration of electrochemistry and sustainable development has gained increasing scholarly attention in response to global energy transitions and sustainability agendas. This study maps the evolution, intellectual structure, and emerging themes of research at the intersection of electrochemistry, sustainable development, and chemistry education using a bibliometric approach. A total of 2,204 publications indexed in Scopus between 2000 and 2026 (with 2026 data limited to publications available up to February) were analyzed using Biblioshiny and VOSviewer. The results show a sharp increase in publication output after 2018, reflecting growing interest in sustainability-oriented electrochemical research. Research productivity and citation impact are concentrated in countries such as China and the United States, as indicated by publication counts and citation metrics. Thematic analyses reveal that dominant research areas are driven by technological domains, particularly lithium ion batteries, hydrogen production, electrocatalysis, and machine learning applications. Overlay and trend analyses further indicate the recent expansion of data-driven approaches in electrochemical research. However, only a limited proportion of publications explicitly address educational perspectives, indicating that pedagogical constructs remain peripheral within the field. In this study, transformative educational perspectives refer to approaches that integrate sustainability competencies, systems thinking, and real world problem solving into chemistry learning. The findings suggest a growing imbalance between rapid technological advancement and relatively limited pedagogical integration. This study provides a structured overview of research development and highlights the need for stronger alignment between electrochemical innovation and sustainability-oriented chemistry education.
Wheel Velocity Control for Electric Car with Kalman Filter and PID Optimization Falaah, Fadjar Nur; Ma'arif, Alfian
Control Systems and Optimization Letters Vol 3, No 3 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v3i3.176

Abstract

This research addresses the challenge of achieving precise rotational speed control for DC motors in electric vehicles, a critical factor for ensuring smooth operation, energy efficiency, and safety. The study integrates a Kalman Filter with a PID Controller to mitigate sensor noise and external disturbances while minimizing steady-state errors. The Kalman Filter effectively reduces noise from rotary encoder sensors, enabling accurate speed estimation with multiplier values of countPulseM1 = 20.0 and countPulseM2 = 40.9. Optimal Kalman Filter parameter ratios were identified as R = 10.0, Q = 0.0001 for motor M1 and R = 8.0, Q = 0.0001 for motor M2, which minimized noise but resulted in slower motor responses compared to lower ratio configurations. To address this limitation, the PID controller was fine-tuned, yielding optimal parameters of Kp = 1.1, Ki = 8.1, and Kd = 0.00036 for motor M1 and Kp = 0.9, Ki = 9.4, and Kd = 0.00009 for motor M2. These settings achieved a rise time of 0.13 seconds, overshoot of 8.69%, and steady-state error of -1.19%. Disturbance testing with a hall magnetic rotary encoder revealed motor M1 with a rise time of 0.27 seconds and M2 with 0.16 seconds, both showing robust responses but requiring faster recovery times for stabilization. While the combination of Kalman Filter and PID significantly enhances control accuracy, further improvements are necessary to reduce settling times and ensure greater stability under dynamic conditions. This work contributes valuable insights into advanced control techniques for electric vehicle drivetrains and robotic systems.
Utilizing Two Maximum Power Point Tracking Techniques with an Integrated DC-DC Boost Converter for Controlling a Grid-Connected Photovoltaic‎ SystemPPT Techniques combined with an Integrated DC-DC Boost Converter for Controlling a Grid-Connected PV System Elbahat, Haitham Ibrahim; Fawzy, Ibram Y.; Diab, Ahmed A. Zaki; Sultan, Hamdy; Kassem, Ahmed; Maarif, Alfian; Mossa, Mahmoud A.
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 2 (2026): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i2.15933

Abstract

This paper focuses on the comparison of maximum power point tracking ‎‎(MPPT) techniques for photovoltaic (PV) system that is interfaced with the ‎utility ‎grid via a three-phase voltage source inverter (VSI). Two algorithms for ‎MPPT ‎are presented: the Perturb and Observe (P&O) technique and the ‎Incremental Conductance (INC) algorithm, ‎which employ a DC-DC boost ‎converter.‎ The algorithms are designed to optimize the capture of power produced by the PV system by measuring the PV output power and adjust the converter’s duty cycle. The VSI in the system handles the conversion from DC to AC. It employs both an internal control loop and an external control loop to maintain the stability of the DC-link voltage and to ensure synchronization with the grid. The grid synchronization of system involves the use of Phase-Locked Loops (PLL) to achieve high accuracy in dynamic conditions. The MPPT algorithms are implemented purely in a simulated environment using the Matlab/Simulink package to illustrate the advantages of the presented MPPT methods in comparison to operating without MPPT under different meteorological conditions. The PV array simulation generally employs monocrystalline modules. The electrical parameters of the system comprise the maximum power point voltage (Vmpp), maximum power point current (Impp), open-circuit voltage (Voc), and short-circuit current (Isc). The system initiates operations under standard test conditions (STC) of 25°C and 1000 W/m² during the simulation, followed by variations in irradiance (G) and temperature (T) over time. The findings‎ indicate that the P&O technique effectively tracks the maximum power point (MPP) and facilitates the extraction of further power throughout fluctuations under various meteorological conditions. Furthermore, the INC algorithm is determined to be more effective for achieving MPPT in relation to both the P&O method and the absence of MPPT under dynamic as well as steady-state conditions‎. The INC algorithm is shown to increase the PV output power at STC by 5.24% without utilizing ‎MPPT, whereas the P&O algorithm achieves an enhancement of 3.24%.‎ The results also reveal that the INC technique exhibits the highest performance, achieving approximately 99.72% efficiency, whereas P&O reaches nearly 97.62% efficiency at STC.
Understanding Large Language Models: A Review Wulandari, Annastasya Nabila Elsa; Purwono, Purwono; Ma’arif, Alfian; Basil, Noorulden; Marhoon, Hamzah M.
Control Systems and Optimization Letters Vol 4, No 2 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v4i2.292

Abstract

Large Language Models (LLMs) have experienced rapid development and have been established as the dominant paradigm in modern Natural Language Processing (NLP), with high performance demonstrated across various language understanding and generation tasks. Increasing architectural complexity has led to the need for a structured conceptual framework to explain how architectural design, training paradigms, and inference mechanisms are collectively associated with model behavior. A conceptual and analytical review of LLMs is presented in this article through an examination of the relationship between Transformer-based architectures, multi-stage training processes, and the resulting capabilities and limitations. Encoder-only, decoder-only, and encoder–decoder architectural variants are examined in relation to structural characteristics and functional implications. The roles of pretraining, supervised fine-tuning, and instruction tuning are analyzed to clarify how output characteristics are shaped during model development. This study emphasizes how architectural and training strategies causally influence generative capabilities and inherent limitations. Fundamental issues, including hallucination, bias, data dependency, computational cost, and evaluation challenges, are critically examined as consequences of the probabilistic modeling paradigm adopted in LLMs. This review contributes a structured analytical perspective for evaluating LLMs design choices and their operational consequences, supporting more informed development and deployment practices.
PID Control System on Air Levitation Tube Ghazy, Maulana Irfan; Ma'arif, Alfian; Fauzan, Muhammad Fathan
Control Systems and Optimization Letters Vol 2, No 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i3.218

Abstract

In the modern technological era, industries continuously seek to improve efficiency, speed, and safety in production processes, with control systems playing a vital role, especially in applications requiring high precision. One such application is air levitation systems, which enable contactless object positioning using controlled airflow. This research focuses on the design and implementation of a Proportional-Integral-Derivative (PID) control system for an air levitation tube, specifically aimed at maintaining the stable position of a ping pong ball within the tube. The system employs an ultrasonic sensor to measure the ball's position and a brushless motor, controlled via an Electronic Speed Controller (ESC), to regulate the airflow. The optimal PID parameters were determined through systematic tuning across various setpoints, yielding Kp = 1, Ki = 0.01, and Kd = 0.7, allowing the system to maintain stability and respond effectively to disturbances. The results demonstrate that the PID control system successfully regulates the ball’s position with minimal oscillation and fast response time. This achievement highlights the viability of PID-controlled air levitation systems not only for industrial use but also as educational tools in engineering and automation training. By integrating hardware and control algorithms into a practical setup, this study contributes to both technological development and enhanced pedagogical approaches in control engineering.
PID-based with Odometry for Trajectory Tracking Control on Four-wheel Omnidirectional Covid-19 Aromatherapy Robot Iswanto, .; Ma'arif, Alfian; Maharani Raharja, Nia; Supangkat, Gatot; Arofiati, Fitri; Sekhar, Ravi; Uddin Rijalusalam, Dhiya
Emerging Science Journal Vol. 5 (2021): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SPER-13

Abstract

Inhalation therapy is one of the most popular treatments for many pulmonary conditions. The proposed Covid-19 aromatherapy robot is a type of Unmanned Ground Vehicle (UGV) mobile robot that delivers therapeutic vaporized essential oils or drugs needed to prevent or treat Covid-19 infections. It uses four omnidirectional wheels with a controlled speed to possibly move in all directions according to its trajectory. All motors for straight, left, or right directions need to be controlled, or the robot will be off-target. The paper presents omnidirectional four-wheeled robot trajectory tracking control based on PID and odometry. The odometry was used to obtain the robot's position and orientation, creating the global map. PID-based controls are used for three purposes: motor speed control, heading control, and position control. The omnidirectional robot had successfully controlled the movement of its four wheels at low speed on the trajectory tracking with a performance criterion value of 0.1 for the IAEH, 4.0 for MAEH, 0.01 for RMSEH, 0.00 for RMSEXY, and 0.06 for REBS. According to the experiment results, the robot's linear velocity error rate is 2%, with an average test value of 1.3 percent. The robot heading effective error value on all trajectories is 0.6%. The robot's direction can be monitored and be maintained at the planned trajectory. Doi: 10.28991/esj-2021-SPER-13 Full Text: PDF
Co-Authors . Iswanto A. Mossa, Mahmoud A. Salah, Wael Abboud, Sarah Abdel-Nasser Sharkawy Abdel-Nasser Sharkawy Abdullah Çakan Abdullah Çakan Abdullah Çakan Abdulmaged, Riyam Bassim Abougarair, Ahmed Abougarair, Ahmed J Abougarair, Ahmed J. Abougarair, Ahmed Jaber Abu, N. S. Abu, Nur Syuhadah Aburakhis, Mohamed Adhianty Nurjanah Adli, M. H. Adriyanto, Feri Agus Aktawan, Agus Ahmad Nurimam Akbar, Afindra Hafiedz Al Ibrahmi, Elmehdi Al Madani Kurniawan, Aqsha Al-Quraan, Ayman Al-Sabur, Raheem Al-Tahir, Sarah O. Alanssari, Ali Ihsan Alayi, Reza Aldi Bastiatul Fawait Fawait Alfan Habibillah Alfan Habibillah Alfian, Eriko Alfian, Rio Ikhsan Ali Asghar Poorat Aljanabi, Haider Dheyaa Kamil Aljarhizi, Yahya ALYA MASITHA Alyazidi, Nezar M. Amelia, Shinta Ammi, Yamina Andino Maseleno Angelo Marcelo Tusset Anhar Anhar Aninditya Anggari Nuryono Anish Pandey Anna Nur Nazilah Chamim Ansarifard, Mehdi Anton Yudhana Antonius Rajagukguk Anuchart Srisiriwat Anwar, Miftahul Anwer, Noha Apik Rusdiarna Indra Praja Ardana, Regina Olivia Fitri Ariadita, Silfia Cindy Ariska Fitriyana Ningrum Arofiati, Fitri Arya Adiningrat Ashadi Setiawan Asih, Hayati Mukti Asno Azzawagama Firdaus Ayati, Kheloud Baballe, Muhammad Ahmad Bagas Putra Anggara Bakouri, Mohsen Bakti Setiawan Bangun Aji Saputra Barbara Gunawan Basil, Noorulden Bdirina, El Khansa Belabbas, Belkacem Benabdallah, Naima Benlaloui, Idriss Berlian Shanaza Andiany Bessous, Noureddine Bilah Kebenaran Binnerianto, Binnerianto Blazek, Vojtech Boulal, Abdellah Bousseksou, Radouane Boutabba, T. Bukhari, W. M. Cakan, Abdullah Carlos Antonio Márquez-Vera Carlos Sánchez-López Carlos Sánchez-López Cengiz Deniz Chico Hermanu Chivon, Choeung Chojaa, Hamid Chotikunnan, Phichitphon Chotikunnan, Rawiphon Dahmani, Abdennasser Dhias Cahya Hakika Dhiya Uddin Rijalusalam Dhiya Uddin Rijalusalam Dhiya Uddin Rijalusalam Dhiya Uddin Rijalusalam Diab, Ahmed A. Zaki Diab, Yasser Dianda Rifaldi Dimas Chaerul Ekty Saputra Dimas Dwika Saputra Dimas Herjuno Dodi Saputra Dodi Saputra Dwi Ana Ratna Wati Dyah Mutiarin Dyah Mutiarin, Dyah Edwin A. Umoh Eka Suci Rahayu Eka Suci Rahayu Eka Widya Suseno Ekinci, Serdar Elbadaoui, Sara Elbahat, Haitham Ibrahim Elzein, I. M. Eskandar Jamali Faalah, Fadjar Nur Fadhil Mohammed, Abdullah Fadlur Rahman T. Hasan Fahassa, Chaymae Fahmi Syuhada Faikul Umam Falaah, Fadjar Nur Farnaz Jahanbin Fathurrahman, Haris Imam Karim Fathurrahman, Haris Imam Karim Fatma Nuraisyah, Fatma Fauzan, Muhammad Fathan Fawzy, Ibram Y. Febryansah, M. Iqbal Ferydon Gharadaghi Feter, Muslih Rayullan Fitri Arofiati Fitri, Hajidah Salsabila Allissa Frisky, Aufaclav Zatu Kusuma Furizal Furizal Furizal Furizal, Furizal Gatot Supangkat Gatot Supangkat Ghazy, Maulana Irfan Gonibala, Fajriansya Guntur Nugroho Habachi, Rachid Hadoune, Aziz Haloui, Rabia Hamdi Echeikh Hamzah M Marhoon Hamzah M. Marhoon Hanini, Salah Hanna, Ahmad Zyusrotul Haq, Qazi Mazhar ul Hari Maghfiroh Hari Maghfiroh Haryo Setiawan Hasibuan, Ahmad Firdaus Hassan, Ahmed Tawfik Hassan, Ammar M. Hassan, Reem Falah Hassanine, Abdalrahman M. Hedroug, Mohamed Elamine Hendriyanto, Raeyvaldo Dwi Heroual, Samira Hossein Monfared Houari Khouidmi Ikhsan Alfian, Rio Ikram, Kouidri Ilham Mufandi Imam Riadi Imam Riadi Iman Permana Iman Sahrobi Tambunan Imura, Pariwat Ipin Prasojo Irfan Ahmad Irfan Ahmad Irianto Irianto Israa Al_barazanchi ISTIARNO, RYAN Iswanto Iswanto Iswanto Iswanto Iswanto Iswanto Iswanto Iswanto Iswanto Suwarno Iswanto Suwarno Iswanto Suwarno Iswanto Suwarno Iswanto, . Izci, Davut Javana, Kanyanat Jazaul Ikhsan Jihad Rahmawan Joko Pitoyo Joko Slamet Saputro Jonattan Niño Parada Joronavalona, Rasamimanana Juwitaningtyas, Titisari Kalyazifa, Davira Oxana Kamel Guesmi, Kamel Kariyamin, Kariyamin Kassem, Ahmed Keawkao, Supachai Kemal Thoriq Al-Azis Kherrour, Sofiane Khoirudin Wisnu Mahendra Khotakham, Wanida Kurniasari, Indah Dwi Kusuma, Isnainul Laidi, Maamar Laveet Kumar Li-Yi Chin Listyantoro, Fiki Lora Khaula Amifia Loulijat, Azeddine Magdi S. Mahmoud Magdi Sadek Mahmoud Magdi Sadek Mahmoud Maghfiroh, Hari Maharani Raharja, Nia Maharani, Siti Mutia Mahmoud A. Mossa Mahmoud Zadehbagheri Mahmoud Zadehbagheri Mahmoud, Magdi S. Mahmoud, Magdi Sadek Mahmoud, Mohamed Metwally MAJDOUBI, Rania Mangku Negara, Iis Setiawan Mangkunegara, Iis Setiawan Marco Antonio Márquez Vera Marco Antonio Márquez Vera Marhoon, Hamzah M Marhoon, Hamzah M. Mechnane, F. Meiyanto Eko Sulistyo Mekonnen, Atinkut Molla Miftahul Anwar Mila Diah Ika Putri Moch. Iskandar Riansyah Mohamad, Effendi Mohamed Akherraz Mohammad Javad Kiani Mohammed, Abdullah Fadhil Mossa, Mahmoud A. Moutchou, Mohamed Much. Fuad Saifuddin Muchammad Naseer Muhaimin Toh-arlim Muhammad Abdus Shomad Muhammad Ahmad Baballe Muhammad Amin Muhammad Arif Seto Muhammad Fuad Muhammad Heri Zulfiar Muhammad Iman Nur Hakim Muhammad Irfan Pure Muhammad Maaruf Muhammad Nizam Muhammed N. Umar Murni Murni Nadheer, Israa Nail, Bachir Nakib, Arman Mohammad Natawangsa, Hari Naufal Rahmat Setiawan Nia Maharani Raharja Nia Maharani Raharja Nia Maharani Raharja Nia Maharani Raharja Nia Maharani Raharja Nia Maharani Raharja Nia Maharani Raharja Nima Shafaghatian Nirapai, Anuchit Noorulden Basil Noorulden Basil Mohamadwasel Nugraha, Ikhwan Nugroho H, Yabes Dwi Nugroho, Oskar Ika Adi Nuntachai Thongpance Nur Syuhadah Abu Nur’Aini, Etika Nuryono Satya Widodo Nuryono, Aninditya Anggari Olunusi, Samuel Olugbenga Omar Muhammed Neda Omokhafe J. Tola Ouhssain, Said Oun, Abdulhamid A. Phichitphon Chotikunnan Phichitphon Chotikunnan Pisa, Pawichaya Pranoto, Kirana Astari Prasetya, Wahyu Latri Prisma Megantoro Puriyanto, Riky D. Puriyanto, Riky Dwi Puriyanto, Riky Dwi Purwono Purwono, Purwono Purwono, Purwono Putra, Rean Andhika Putra, Rizal Kusuma Qazi Mazhar ul Haq Qolil Ariyansyah Rachmad Andri Atmoko Rachmawan Budiarto Radhwan A. A. Saleh Rahim Ildarabadi Rahmadhia, Safinta Nurinda Rahmadini, Vatia Fahrunisa Rahmaniar, Wahyu Rahmat Setiawan, Naufal Rahmat Setiawan, Naural Ramadhan, Yogi Reza Ramadhani, Nur Ramelan, Agus Ramli, Nor Hanuni Rania Majdoubi Rashid, Salman Ravi Sekhar Rawiphon Chotikunnan REKIK, Chokri Reza Alayi Reza Alayi Reza Alayi Ridha, Hussein Mohammed Rikwan, Rikwan Rio Ikhsan Alfian Ritonga, Asdelina Riyanarto Sarno Roongprasert, Kittipan Sabbar, Bayan Mahdi Sagita, Muhamad Rian Salah, Wael Salah, Wael A. Salamollah Mohammadi-Aykar Samir Ladaci Saputra, Ekky Haqindytia Sari, Nurjanah Arvika Sashikala Mishra Sawan, Salah I. Sekhar, Ravi Semma, El Alami Setiawan, Muhammad Haryo Setiawan, Naufal Rahmat Shafeeq Bakr, Zaid Sharkawy, Abdel-Nasser Shinta Amelia Shomad, Muhammad Abdus Shomad, Muhammad Abdus Siti Fatimah Anggraini Siti Jamilatun Sneineh , Anees Abu Subrata, Arsyad Cahya Suko Ferbriyanto Sultan, Hamdy sunardi sunardi Sunardi Sunardi Sunardi, Sunardi Sunat, Khamron Supangkat, Gatot Suwarno, Iswanto Syuhada, Fahmi Taufan Maulana Hazbi Tayane, Souad Tayeb Allaoui Thajai, Phanassanun Thongpance, Nuntachai Tibermacine, Imad Eddine Tohari Ahmad Tony K Hariadi Touti, Ezzeddine Uddin Rijalusalam, Dhiya Umoh, Edwin Vera, Marco Antonio Marquez Vernandi Yusuf Muhammad Vicky Fajar Setiawan Wahyu Caesarendra Wahyu Rahmaniar Wahyu Rahmaniar Wibisono, Muhammad Damar Wijaya, Setiawan Ardi Wulandari, Annastasya Nabila Elsa Yaser Ebazadeh Yaser Ebazadeh Yassine Zahraoui Yunandha, Isro D. Yutthana Pititheeraphab Zahraoui, Yassine Zaineb Yakoub Zy, Ahmad Turmudi