Article Per Year (5 Year)
p-Index From 2021 - 2026
4.896
P-Index
This Author published in this journals
All Journal Indonesian Journal of Geography Tekno : Jurnal Teknologi Elektro dan Kejuruan ELKHA : Jurnal Teknik Elektro Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Edukasi dan Penelitian Informatika (JEPIN) Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan International Journal of Artificial Intelligence Research INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Knowledge Engineering and Data Science at-tamkin: Jurnal Pengabdian kepada Masyarakat CYCLOTRON JFIOnline Infotekmesin Buletin Ilmiah Sarjana Teknik Elektro Jurnal Karinov TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Frontier Energy System and Power Engineering jurnal syntax admiration Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat Unri Conference Series: Community Engagement International Journal of Robotics and Control Systems International Journal of Advanced Science and Computer Applications Bulletin of Pedagogical Research ALINIER: Journal of Artificial Intelligence & Applications Ilmu Komputer untuk Masyarakat Jurnal Fortech SinarFe7 Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Journal of Scientech Research and Development INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY Jurnal Inovasi Teknologi dan Edukasi Teknik Lentera: Multidisciplinary Studies Bulletin of Social Informatics Theory and Application Jurnal INFOTEL ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat Lentera: Multidisciplinary Studies Jurnal FORTECH
Siti Sendari
Universitas Negeri Malang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 54 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 54 Documents
Search

 2   3   4   5   6 
Improving Efficiency and Effectiveness of Wheeled Mobile Robot Pathfinding in Grid Space Using a Genetic Algorithm with Dynamic Crossover and Mutation Rates Lestari, Dyah; Sendari, Siti; Zaeni, Ilham Ari Elbaith; Arifin, Samsul; Sari, Rina Dewi Indah
International Journal of Robotics and Control Systems Vol 5, No 1 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i1.1573

Abstract

Incorrect parameter tuning of crossover and mutation rates in Genetic Algorithms (GA) can negatively impact their effectiveness and efficiency in mobile robot pathfinding. This study focuses on improving the performance of wheeled mobile robots in grid-based environments by introducing a Dynamic Crossover and Mutation Rates (DCMR) strategy within the GA framework. The primary contribution of this research is enhancing the efficiency and effectiveness of mobile robot pathfinding, resulting in shorter average path lengths and faster convergence times. Additionally, this method addresses the challenge of selecting appropriate GA parameters while increasing the algorithm's adaptability to different phases of the search process. The DCMR approach involves linearly increasing the crossover rate by 10% (from 0% to 100%) and decreasing the mutation rate by 10% (from 100% to 0%) over every 10 generations during the GA's evolution. Unlike fixed parameter tuning or exponential and sigmoid parameter tuning—both of which require trial and error to determine optimal values—the DCMR method provides a systematic and efficient solution without additional computational cost. Experiments were conducted across eight scenarios featuring varying distances between the start and target points, with two obstacles randomly placed in the robot's environment. The results showed that implementing the DCMR method consistently identified the optimal path, reduced average path lengths by 0.99%, and accelerated algorithm convergence by 48.39% compared to fixed parameter tuning. These findings demonstrate that the DCMR method significantly enhances the performance of GAs for mobile robot pathfinding, offering a reliable and efficient approach for navigating complex environments.
Optimizing Cleaning Path for Coal Dust Removal Using Dual Stage Tracking Method Kumalasari, Ira; Ar Rosyid, Harits; Sendari , Siti; Mokhtar , Norrima Binti; Setumin , Samsul
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 4 (2024): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i4.29806

Abstract

Manual disaster mitigation at the Java Bali power plant, particularly related to fire risks from coal dust during electricity production, often requires halting operations, leading to significant revenue loss and power outages. This study aims to address this issue by proposing an automated solution to clean coal dust without interrupting production, utilizing a dual-stage tracking method for robot-assisted coal dust cleaning. The research contributes by developing a dual-stage A* algorithm that optimizes robot movements for cleaning tasks in power plant environments, outperforming single-stage BFS and single-stage A* algorithms. The research is divided into two phases: object detection and robot motion path selection. The dual-stage A* algorithm is compared against single-stage BFS and single-stage A* methods through a series of experiments evaluating their efficiency and effectiveness. The dual-stage A* method demonstrates superior performance in terms of path optimization, reducing cleaning time, and improving operational safety. Specifically, the dual-stage A* algorithm reduces energy consumption by 169 units and grid traversal by 84 units compared to single-stage methods, ensuring thorough dust removal while minimizing fire hazards. The dual-stage A* algorithm proves to be the optimal solution for coal dust cleaning in power plants, allowing for safe, continuous operation without the need for production halts. Future work should focus on addressing implementation costs and technical constraints to enhance real-world applicability.
Implementation of Raspberry Pi As A2dp Module On The Quality of Song Reception of Humanoid Robot Wildan Iswahyudi; Mochamad Farhan Ali Irfani; Muzayana Muzayana; Siti Sendari; Nuzul Zaeni Eki Ramadhanu
Lentera: Multidisciplinary Studies Vol. 2 No. 4 (2024): Lentera: Multidisciplinary Studies
Publisher : Publikasiku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/lentera.v2i4.123

Abstract

This research discusses comparing the performance of Bluetooth communication on Raspberry Pi in controlling dance humanoid robots using external modules and direct communication. This research aims to understand the difference in performance between the two methods, by analyzing data transmission speed, signal stability, and communication latency that affect the quality of robot movement. In addition, this research also aims to evaluate the effectiveness of using simple filters such as low-pass filter circuits to improve the stability of Bluetooth communication on Raspberry Pi. It is hoped that this research can lead to a better understanding of the influence of both communication methods on the quality of dance humanoid robot movements.
The Implementation of the Teaching at the Right Level (TaRL) Approach to Improve Cognitive Abilities of the Introduction to Python Topic in Informatics Lessons Abdul Wafi; Yudhi Christianto; Siti Sendari
Bulletin of Pedagogical Research Vol. 5 No. 1 (2025): Bulletin of Pedagogical Research
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bpr.v5i1.1030

Abstract

The Merdeka Curriculum introduces a learning approach known as Teaching at the Right Level (TaRL), a method designed based on students' ability mapping to tailor instruction according to each learner’s specific needs. This study explores the impact of implementing the TaRL approach on students' cognitive development in the topic of Python programming, within the Informatics subject for Class X-4 at SMAN 8 Malang. Employing a Classroom Action Research (CAR) methodology, the research aims to identify classroom challenges and develop effective solutions. The findings demonstrate that using appropriate and well-structured learning strategies significantly enhances students’ learning outcomes. This study contributes meaningfully to the development of differentiated instruction practices in Informatics education, particularly in introducing Python programming. The novelty of this research lies in the application of the TaRL approach within a digital learning context—specifically in Python programming—a relatively unexplored area, as previous studies have predominantly focused on basic literacy and numeracy
MPPT Performance Analysis for PV Energy Harvesting Using Grey Wolf Optimization (GWO) Algorithm Aripriharta, Aripriharta; Syabani, Muhiban; Sendari, Siti; Wibawa, Aji Prasetya; Susilo, Suhiro Wongso; Bagaskoro, Muhammad Cahyo; Rosmin, Norzanah
ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i1.91643

Abstract

Renewable energy is a key solution to meeting the growing demand for electricity while reducing reliance on non-renewable sources. Among various renewable technologies, photovoltaic (PV) systems are widely used in solar power plants (PLTS) to harness solar energy. However, PV efficiency is affected by environmental factors such as fluctuating solar irradiance and temperature, which cause instability in output voltage and power. To address these issues, Maximum Power Point Tracking (MPPT) techniques are applied to optimize power extraction. This study proposes the Grey Wolf Optimization (GWO) algorithm for MPPT and evaluates its performance through MATLAB/SIMULINK simulations under varying irradiance and temperature conditions. Inspired by the hunting behavior and social hierarchy of grey wolves, GWO dynamically adjusts the converter's duty cycle based on real-time voltage and current measurements to maximize output power. The study focuses on PV systems in Malang, Indonesia, and compares GWO with the Particle Swarm Optimization (PSO) method in terms of accuracy and stability. The results indicate that increased solar irradiance substantially enhances PV power output, while rising temperatures tend to reduce efficiency. The GWO algorithm achieves an average tracking accuracy of 94.5632%, slightly lower than the 96.9851% achieved by PSO. However, GWO demonstrates superior performance in terms of stability, with faster convergence and reduced oscillations during the tracking process. A comparison of system performance before and after applying the GWO method shows notable improvements in tracking consistency and power extraction efficiency, especially under dynamic environmental changes. The novelty of this study lies in its use of real-world environmental data collected over a 30-day period in a tropical setting, which is rarely addressed in previous GWO-based MPPT research. These findings highlight the potential of the GWO-based MPPT strategy to enhance PV system reliability and efficiency in real-time renewable energy applications.
Pemetaan Arena Kerja Menggunakan Sensor Ultrasonik Pada Robot Omnidireksional Sendari, Siti; Fajar Syahputra, Alief; Nurutami, Amalia; Kartika Sari, Elista; Agus Rahma Dani, Ayunda; Desti Yanti, Dava
Jurnal FORTECH Vol. 1 No. 1 (2020): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/fortech.v1i1.219

Abstract

In this research, robot omnidirectional is designed for mapping area work. The omnidirectional robot has has a mechanical design that is different with the usual wheels. These wheels are designed to make the robot has an ability to move in Omni directions. With this system, the movement of the robot will have 2 degrees of freedom which can move on the x axis and the y axis. The Omni wheel consists of large core wheels and small wheels around the circumference of the wheels. This robot can avoid obstacles and map the arena by using ultrasonic sensors (HC-SR04). The robot designed and developed in this study is aimed to map the arena with an area of one square meter in the form of a two-dimensional (2D) space map. The distance readings are displayed on a 20x4 LCD screen by using the HC-SR04 ultrasonic sensor. The robot is controlled via an Arduino Mega microcontroller. The omnidirectional wheels is used as a mean of motion. Based on the results of the robot testing of the sensor readings, the actuators and mapping work well. It can be seen on how they can avoid obstacles by turning left or right by displaying the readings from the ultrasonic sensor
Pengembangan Modul dan Trainer Pengemas Barang Untuk Pembelajaran FBD di Jurusan Teknik Elektro Universitas Negeri Malang Jefri, Achmad; Sendari , Siti
Jurnal FORTECH Vol. 1 No. 2 (2020): jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/fortech.v1i2.224

Abstract

The objectives of this research are (1) to design development of instructional media in form of modules and product packaging trainers for Industrial Automation Workshop courses in Department of Electrical Engineering, Faculty of Engineering, State University of Malang, (2) developing product packaging trainers that have been made it can be used for a variety of systems (microcontrollers, smart relays, and PLCs), (3) developing product packaging trainer practicum module based on smart relay for learning FBD (Function Block Diagram) programming in Industrial Automation Workshop course in Department of Electrical Engineering, State University of Malang and, (4) testing feasibility of module and trainer of goods packaging that have been developed for learning courses in Industrial Automation Workshop in the Department of Electrical Engineering, Faculty of Engineering, State University of Malang. This study adopting a development tailored model to needs of module development but still refers to existing development models. Development model in this research uses development model from Sugiyono tailored to needs. Based on results of validation and feasibility testing of practicum modules by experts 1, experts 2, product trials and usage trials can be concluded that practicum modules and product packaging trainers are very suitable used in learning
SMART WEIGHING FOR WASTE MANAGEMENT SYSTEM USING INTEGRATION INTERNET OF THINGS AND ARTIFICIAL INTELLIGENCE TO ASSIST CIRCULAR ECONOMICS Sendari, Siti; Mokthar, Norrima binti; Ramadan, Bimastyaji Surya; Ramadani, Bakhrul Mukhid Fadilah; Pramesti, Fadila Claudia; A'ini, Qurrotul; Wibowo, Danang Arengga; Sucipto, Putra Wisnu Agung; Rahmawati, Yuni; Wibowo, Fauzy Satrio
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 8, NUMBER 2, OCTOBER 2025
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v8i2.23959

Abstract

Aims: This study was aimed to Supit Urang Landfill in Malang, East Java, Indonesia, urgently needs a smart waste management system because it is strategically important as a large landfill with a monthly operating capacity of 4.560 trucks. Landfill management is very challenging due to some cases, such as overcapacity, inefficient waste sorting, and environmental risks. Methodology and results: The research introduced an integration of Internet of Things (IoT) and Artificial Intelligence (AI) into the waste management system to support the principles of a circular economy. IoT was applied for real time monitoring of waste conditions, while AI was utilized for big data analytics, enabling predictions, decision-making support, and policy recommendations. The results demonstrated that the proposed system improves efficiency and cost-effectiveness by reducing the amount of waste disposed of in the landfill and optimizing the waste sorting and recycling process. Conclusion, significance and impact study: The study concludes that the transformation toward a sustainable waste management model is urgently needed and can be achieved through AIoT integration. This innovation supports circular economy practices by enhancing waste reduction, reuse, and recycling. The successful implementation at Supit Urang could serve as a scalable model for other landfills across Indonesia, thereby contributing to national strategies for sustainable waste management. This technological intervention not only improves environmental outcomes by reducing pollution and conserving resources but also fosters economic development through efficient resource utilization and job creation in the recycling and waste processing sectors.
Intelligent Weighing Machine untuk Meningkatkan Keakuratan Berat Produk Bubuk Herbal Instan Sujito; Sendari, Siti; Handayani, Anik Nur; Gumilar, Langlang; Utomo, Imam Tree; Fakhruddin, Dhiyaurrahman
ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 2 (2023): ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat
Publisher : UPT Publikasi dan Penerbitan Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/abdiunisap.v1i2.112

Abstract

Syarimpon merupakan usaha yang didirikan oleh Afiani Fadiana pada tahun 2017 yang berlokasi di Perumahan Persada Bhayangkara No.G3, Pangetan, Kecamatan Singosari, Kabupaten Malang. yang bergerak dalam bidang produksi minuman herbal instan dan sudah mengembangkan minuman herbal instan dengan kemasan yang menarik dan sudah memiliki berbagai perizinan mulai dari NIB ( Nomor Induk Berusaha), PIRT (Produk Industri Rumah Tangga), Perizinan penetapan produk halal dan produk sudah HAKI (Hak Kekayaan Intelektual) namun Syarimpon ini mengalami permasalahan mengenai proses penimbangan berat produk masih menggunakan cara manual dan memakan waktu pada saat proses penimbangan dan kurangnya keakuratan dari timbangan yang digunakan. Dengan adanya program pengabdian ini diharapkan mampu mengatasi masalah dari mitra dengan mentransfer teknologi Intelligent Weighing Machine guna meningkatkan keakuratan berat produk dengan cerdas dan lebih efisien. Tujuan dari program pengabdian kepada masyarakat ini menghasilkan Intelligent Weighing Machine yang diharapkan mampu mengurangi waktu dalam proses penimbangan dan membantu mengatasi permasalahan selama proses produksi mereka dan dapat mempertahankan kualitas dari minuman herbal instan yang mereka produksi. Hasil dari program PKM ini melakukan pengembangan Intelligent Weighing Machine alat ini didesain untuk memberikan kemudahan untuk pengguna sehingga mempercepat proses penimbangan dan meningkatkan keakuratan berat bersih produk sehingga dapat mengurangi waktu yang digunakan untuk menimbang serta memastikan berat bersih produk sesuai standar yang telah disesuaikan oleh UMKM Syarimpon dan memberikan dampak positif untuk penjualan dan produksi mereka.
Applied of Analytical Hierarchy Process and Fuzzy Time Series in Hybrid for Optimizing Smart Vertical Farming with Multi-Variety Plants Wibowo, Danang Arengga; Sendari, Siti; Wibawa, Aji Prasetya; Wibowo, Fauzy Satrio
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.402

Abstract

Vertical Farming is a kind of modern agricultural methods, where the structure of growing racks are arranged upwards. This method aims to optimize the use of agricultural space. There are many plants, which are suitable to be planted for vertical farming, such as Strawberry, Tomatoes, Celery, Chili, Mint, Chives, Kuchay, Spinach, and Water spinach. The problem, which is studied in this paper, is how to control the environments of vertical farming with multi-variety plants. This paper proposed a hybrid method of Analytical Hierarchy Process and Fuzzy Time Series AHP-FTS, that is, plants with similar characteristics are placed at the same block area determined by the method of Analytical Hierarchy Process (AHP). Furthermore, controlling the environments regarding the needs of appropriate growing parameters for multi-variety plants, the Fuzzy Time Series (FTS) method is used. Then, time variable for activating actuators could be adjusted as a multi-control system. The effectiveness of the proposed method was evaluated with 365 record data in 12 months. The result shows that the AHP was successful to determine the multi-criteria to determine the zone and priority of plants. The second stage is that the FTS predicts the temperature to determine time variable for activating actuators, and the third stage is the implemented AHP-FTS as a hybrid system to evaluate the vertical Farming system. The results show that the proposed system works well as hybrid system of AHP-FTS
Co-Authors A'ini, Qurrotul A.N. Afandi Abdul Wafi Abdur Rohman Achmad Jefri Achmad Jefri Achmad Jefri Adika Prana Ihsanuddin Agung Bella Putra Utama Agung Endro Nugroho Agung Sucipto, Putra Wisnu Agus Rahma Dani, Ayunda Aji Prasetya Wibawa Alief Fajar Syahputra Amalia Nurutami Amalia Prameswari Alvina Andi Khoirudin Andis Wijaya Anik Nur Handayani Anisatul Qomariyah Arengga, Danang Argeshwara, Dityo Kreshna Arifin, Samsul Aripriharta - Arnista Vindriyanti Ashar, Muhammad Ashrofil Muzaki Ayunda Agus Rahma Dani Bagaskoro, Muhammad Cahyo Baliyah Ahmad Fathoni Benny Agung Prasetyo Billah, Egi Nursari Burhanudin Yusuf Abdullah Ar Ramadhan Cahyaning Wulandari Cahyaning Danang Arengga Wibowo Dava Desti Yanti Dendi Mukti Putranto Desti Yanti, Dava Dian Candra Lestari Didik Dwi Prasetya Dwi Mukti Asmoro Sari Dwi Puri Fatmawati Dyah Lestari Eko Noerhayati Elbaith, Ilham ari Eli Hendrik Sanjaya Elista Kartika Sari Faiz Syaikhoni Aziz Fajar Syahputra, Alief Fakhruddin, Dhiyaurrahman Fatma Cahyaningrum Fitri, Shofiana Franky Melky Giri Wahyu Wiriasto Guyub Raharjo Hakiki, A.Riyan Rahman Hakkun Elmunsyah Hanny Prasetya Hariyadi Haq, Sigit Prasetyo Harits Ar Rosyid Hary Suswanto Heru Wahyu Herwanto Hidiyah, Tabita May Hsien-I Lin I Made Wirawan Ilham Ari Elbaith Ilham Ari Elbaith Zaini Ira Kumalasari Irham Fadlika Irvan, Mhd James Aditama Januar Arief Muhammad Joumil Aidil Saifuddin Kamil Faqih Kartika Sari, Elista Khoiruddin Asfanie Kotaro Hirasawa Kumalasari, Ira Langlang Gumilar Listyo Yudha Irawan M. Afnan Habibi M. Bagus Arifin Made Radikia Prasanta Mahfud Jiiono Mahfud Jiono Mario Leo Nardo Melky, Franky Melta Dhemahestri Misik Rahayu Oktaningsih Moch. Burhanuddin Alfarobbi Mochamad Farhan Ali Irfani Mochammad Haidar Ridho Mochtar, Norrima Moh. Zainul Falah Mohammad Yussril Asri Mokh Sholihul Hadi Mokhammad Nasrulloh Mokhtar , Norrima Binti Mokthar, Norrima binti Muhamad Syamsu Iqbal Muhammad Aditya Firnanda Muhammad Fajar Saifuddin Muhammad Hanif Abdur Razaq Muhammad Tahfidlul Azmi Muhammad Yoga Pranata Mukti Putranto, Dendi Muladi Mustika, Soraya N. Muzayana Muzayana Nastiti Susetyo Fanani Putri Nastiti Susetyo Fanani Putri Nastiti Susetyo Fanany Putri Ni’am, Faj’run Nobri Wicaksono Nur Halim Nurutami, Amalia Nuzul Zaeni Eki Ramadhanu Pramesti, Fadila Claudia Prasetya Widiharso Prasetya Widiharso Prasetya Widiharso Prastiwi, Mellinia Regina Putri, Nanda Regita Ramadan, Bimastyaji Surya Ramadani, Bakhrul Mukhid Fadilah Ria Rahmawati Rina Dewi Indahsari Rindi Santika Agustin Ristanto Aji Prakoso Rizki Jumadil Putra Rizky Asilia Puspita Sari Rosmin, Norzanah Samsul Arifin Setumin , Samsul Setumin, Samsul Shofiana Fitri Shrestha, Rajendra Prasad Soraya Norma Mustika Soraya, Fenthy Soraya, Fenthy Supardjan A. Margono Susilo, Suhiro Wongso Syabani, Muhiban Syafaat, Mokhammad Syafiq Ubaidillah Syamsul Arifin Syamsul Bachri Utomo, Imam Tree Wahyu Sakti Gunawan Irianto Wahyu Tri Handoko Waridno, Aji J. T. Wibowo, Danang Arengga Wibowo, Dian S. Wibowo, Fauzy Satrio Wildan Iswahyudi Yogi Dwi Mahandi Yudhi Christianto Yuni Rahmawati Zaeni, Ilham Ari Elbaith Zulkarnain, Aldo Z. A.