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Pelatihan Robot Line Tracer Analog untuk Meningkatkan Prestasi Siswa Madrasah Ibtidaiyah Muhammadiyah Wonorejo 27 Surabaya Noorman Rinanto; Lilik Subiyanto; Joko Endrasmono; Mochamad Yusuf Santoso; Fitri Hardiyanti; Ahmad Erlan Afiuddin; Budi Prasojo; Mirna Apriani; Annas Singgih Setiyoko; Agus Khumaidi
Jurnal Pengabdian Mitra Masyarakat (JPMM) Vol 1, No 2: Oktober (2019)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (393.041 KB) | DOI: 10.35671/jpmm.v1i2.910

Abstract

Salah satu teknologi robotika yang banyak digunakan adalah robot penjejak garis atau yang lebih sering disebut robot line tracer atau line follower. Selain dimanfaatkan untuk membantu pekerjaan, robot juga menjadi salah satu kegiatan ekstrakurikuler di tingkat Sekolah Dasar (SD). Kegiatan ekstrakurikuler robotika memberikan dampak positif terhadap ketrampilan berpikir kreatif siswa usia SD. Selain itu, mempelajari robotika berhubungan dengan pelajaran matematika, fisika, sain dan teknologi, dan komputer dan pemrograman. Madrasah Ibtidaiyah (MI) Muhammadiyah 27 Surabaya merupakan salah satu sekolah dasar modern yang berbasis pesantren yang berlokasi di Rungkut, Surabaya. Ektrakurikuler Robotika pada madrasah ini berdiri sejak Desember 2018. Karena termasuk ektrakurikuler baru, maka untuk prestasi mungkin masih sebatas keberhasilan pembuatan robot line tracer analog (LTA) setelah beberapa bulan mengikuti kegiatan ekstra. Selain itu untuk fasilitas yang disediakan pun masih terbilang cukup minim untuk kegiatan belajar mengajar sehingga agak sulit menyampaikan materi robotika yang cukup berat jika tidak diimbangi dengan peralatan dan fasilitas yang memadai. Pada pengabdian masyarakat ini dilaksanakan kegiatan pelatihan robot LTA untuk siswa MI Muhammadiyah 27 Surabaya. Kegiatan terdiri dari penyampaian materi dan praktik. Kegiatan diikuti oleh beberapa siswa dan guru dari semua tingkatan kelas. Terdapat lima robot yang berhasil dirakit untuk diuji pada lintasan yang telah disediakan.
Klasifikasi Gelombang Otot Lengan Pada Robot Manipulator Menggunakan Support Vector Machine Muhammad Ja'far Ubaidillah; Ii Munadhif; Noorman Rinanto
Rekayasa Vol 12, No 2: Oktober 2019
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (547.996 KB) | DOI: 10.21107/rekayasa.v12i2.5406

Abstract

Teknologi robotika semakin berkembang. Banyak orang berinovasi untuk membantu aktivitas mereka, diantaranya membuat robot manipulator untuk mengambil barang di tempat berbahaya atau memindah barang dengan presisi yang sangat tinggi. Pada penelitian ini telah dirancang robot manipulator untuk membantu pasien yang diamputasi pergelangan tangannya agar dapat memegang dan tidak memegang. Sensor Electromyography (EMG) dapat merekam aktivitas listrik yang dihasilkan oleh otot rangka dalam bentuk sinyal yang mempresentasikan gerakan otot. Pada penelitian ini, elektromiogram diekstraksi untuk mendapatkan fitur Root Mean Square (RMS) dan Mean Absolute Value (MAV) kemudian diklasifikasi menggunakan Support Vector Machine (SVM). Metode SVM dipilih karena mampu menemukan hyperplane terbaik sebagai pemisah. Pengendali yang digunakan adalah Arduino yang memerintahkan motor servo untuk menggerakkan robot manipulator sesuai dengan hasil klasifikasi. Penerapan metode Support Vector Machine (SVM) yang bertipe linier memiliki akurasi yang cukup baik dengan keberhasilan 80% pada pengujian dengan subjek yang telah diambil data sampel dan keberhasilan 60% pada pengujian dengan subjek yang tidak diambil data sampel.Classification of Muscle Wave Arm on Manipulator Robot Using Support Vector Machine ABSTRACTRobotics technology is growing. Many people innovate to help their activities, including making manipulator robots to take items in dangerous places or move items with very high precision. In this study a manipulator robot was designed to help patients who amputated their wrists to grip and un-grip. Electromyography (EMG) sensors can record electrical activity produced by skeletal muscles in the form of signals that present muscle movements. In this study, the electromyogram was extracted to get the Root Mean Square (RMS) and Mean Absolute Value (MAV) features then classified using Support Vector Machine (SVM). The SVM method was chosen because it was able to find the best hyperplane as a separator. The controller used is Arduino which instructs the servo motor to move the manipulator robot according to the classification results. The application of the Support Vector Machine (SVM) method which has a linear type has a fairly good accuracy with 80% success in testing with subjects who have taken sample data and 60% success in testing with subjects who are not taken sample data.Keywords: EMG Sensor, Arm Muscle, MAV, RMS, SVM, Classification.
HOW TO UTILIZE AUTODESK FUSION 360 THAT REINFORCES PRODUCT REDESIGN SIMULATION? Tri Andi Setiawan; Anda Iviana Juniani; Dhika Adhitya Purnomo; Noorman Rinanto; Habib Ngumar Faruq
JISO : Journal of Industrial and Systems Optimization Vol 6, No 1 (2023): Juni 2023
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v6i1.48-54

Abstract

Dalam industri desain saat ini, konsep desain generatif untuk perancangan dan pengembangan produk semakin berkembang. Ketika sebuah produk telah berada di pasar dalam jangka waktu yang lama, kebutuhan redesain produk menjadi hal yang tak terelakkan. Konsep redesain produk memodifikasi produk yang sudah ada untuk meningkatkan fungsionalitas, kegunaan, atau efisiensi manufaktur. Ini melibatkan perubahan desain produk, material, dan aspek lain untuk mencapai tujuan dan menyelesaikan masalah tertentu. Komunikasi antara desainer dan insinyur saat proses redesain produk muncul melalui perbedaan perangkat lunak. Kesulitan juga terletak pada komunikasi pemikiran desain dan strategi pemesinan. Autodesk Fusion 360 adalah perangkat lunak CAD/CAM dan CAE yang komprehensif. Penelitian ini bertujuan untuk menggunakan Fusion 360 untuk memperkuat simulasi desain ulang produk. Desain ulang produk yang lengkap mencakup beberapa bidang penting, termasuk desain industri, desain mekanik, rendering dan animasi, emulasi dengan dibantu komputer (CAE), dan manufaktur yang terintegrasi (CAM). Fusion 360 menyajikan ikhtisar kolaborasi, mendobrak batasan antara seni dan manufaktur, serta mengkritisi konsep desain dan proses manufaktur. Dengan menggunakan perangkat Fusion 360 untuk simulasi, analisis FEA statis dapat divisualisasikan. Untuk studi kasus, diamati bahwa hasil kekuatan, tegangan berada dalam nilai kekuatan luluh kritis dari masing-masing bahan, dengan kustomisasi massal dalam analisis struktur. Sebagai hasil dari analisis struktural selama tahap desain, penilaian sepeda motor kargo roda tiga dalam hal daya tahan dan ketahanan mekanisnya dapat dilakukan tanpa membahayakan pengguna.ABSTRACT In today's design industries, the concept of generative design for product development is progressively evolving. When a product has been on the market for an extended period of time, redesigning becomes inevitable. Product redesign refers to modify an existing product to improve functionality, usability, or manufacturing efficiency. It involves changing the product's design, materials, and other aspects to address specific goals and problems. The communication between designers and engineers used to go on through different software products, tool commands, and even industry terms. However, the difficulty also lies in communicating design thoughts and machining strategies. Autodesk Fusion 360 is a comprehensive CAD/CAM and CAE software tool. This article proposes to utilize Fusion 360 for reinforcing product redesign simulation. A complete product redesign covers several significant areas, including industrial design, mechanical design, rendering and animation, computer-aided emulation (CAE), and computer-aided manufacturing (CAM). Fusion 360 presents an overview of collaboration, breaks the barriers between art and manufacturing, and blocks between design and processing. Using Fusion 360 user interface for simulation, the static FEA simulation results can be visualized. For the case study, it is observed that the results for stress and global displacement are within the critical yield strength values of the respective material, with mass customization. As a result of structural analysis during the design stage, the assessment of three-wheeled cargo motorcycle in terms of their durability and mechanical resistance is possible without putting the user at risk. Based on the obtained results, the structure strength was compared.
Optimizing Injection Molding Parameters to Cycle Time of Bioring Cone Cup Products with Taguchi Method Farizi Rachman; Bayu Wiro Karuniawan; Ika Pramestiani; Noorman Rinanto
International Journal of Marine Engineering Innovation and Research Vol 8, No 3 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v8i3.18544

Abstract

At the Sukodono molding company which produces Bioring cone cups using injection molding machines, a trial and error process to obtain parameter setting values on the machine is still applied in the early stages of production. This problem is detrimental to the company because they have to bear the production burden due to production delays. A solution is needed to optimize injection parameters with cycle time response. Therefore, this study proposes an analysis of the application of the Taguchi method by utilizing the signal for noise ratio to determine the influence of factors and also to optimize parameter such as temperature, pressure, and cooling time for the production process. The trial results show that the ideal blend of factors includes injection pressure parameters at level 1 with a value of 80 bar, injection temperature at level 2 in value of 225°C, and cooling time in level one with a value of 0.1 seconds.
Pelatihan Robot Line Tracer Analog untuk Meningkatkan Prestasi Siswa Noorman Rinanto
Jurnal Cakrawala Maritim Vol 2 No 2 (2019): Jurnal Cakrawala Maritim
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M) - PPNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33863/cakrawalamaritim.v2i2.1362

Abstract

Pelatihan Robot Line Tracer Analog untuk Meningkatkan Prestasi Siswa
HOW TO UTILIZE AUTODESK FUSION 360 THAT REINFORCES PRODUCT REDESIGN SIMULATION? Setiawan, Tri Andi; Juniani, Anda Iviana; Purnomo, Dhika Adhitya; Rinanto, Noorman; Faruq, Habib Ngumar
JISO : Journal of Industrial and Systems Optimization Vol. 6 No. 1 (2023): Juni 2023
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v6i1.48-54

Abstract

Dalam industri desain saat ini, konsep desain generatif untuk perancangan dan pengembangan produk semakin berkembang. Ketika sebuah produk telah berada di pasar dalam jangka waktu yang lama, kebutuhan redesain produk menjadi hal yang tak terelakkan. Konsep redesain produk memodifikasi produk yang sudah ada untuk meningkatkan fungsionalitas, kegunaan, atau efisiensi manufaktur. Ini melibatkan perubahan desain produk, material, dan aspek lain untuk mencapai tujuan dan menyelesaikan masalah tertentu. Komunikasi antara desainer dan insinyur saat proses redesain produk muncul melalui perbedaan perangkat lunak. Kesulitan juga terletak pada komunikasi pemikiran desain dan strategi pemesinan. Autodesk Fusion 360 adalah perangkat lunak CAD/CAM dan CAE yang komprehensif. Penelitian ini bertujuan untuk menggunakan Fusion 360 untuk memperkuat simulasi desain ulang produk. Desain ulang produk yang lengkap mencakup beberapa bidang penting, termasuk desain industri, desain mekanik, rendering dan animasi, emulasi dengan dibantu komputer (CAE), dan manufaktur yang terintegrasi (CAM). Fusion 360 menyajikan ikhtisar kolaborasi, mendobrak batasan antara seni dan manufaktur, serta mengkritisi konsep desain dan proses manufaktur. Dengan menggunakan perangkat Fusion 360 untuk simulasi, analisis FEA statis dapat divisualisasikan. Untuk studi kasus, diamati bahwa hasil kekuatan, tegangan berada dalam nilai kekuatan luluh kritis dari masing-masing bahan, dengan kustomisasi massal dalam analisis struktur. Sebagai hasil dari analisis struktural selama tahap desain, penilaian sepeda motor kargo roda tiga dalam hal daya tahan dan ketahanan mekanisnya dapat dilakukan tanpa membahayakan pengguna.ABSTRACT In today's design industries, the concept of generative design for product development is progressively evolving. When a product has been on the market for an extended period of time, redesigning becomes inevitable. Product redesign refers to modify an existing product to improve functionality, usability, or manufacturing efficiency. It involves changing the product's design, materials, and other aspects to address specific goals and problems. The communication between designers and engineers used to go on through different software products, tool commands, and even industry terms. However, the difficulty also lies in communicating design thoughts and machining strategies. Autodesk Fusion 360 is a comprehensive CAD/CAM and CAE software tool. This article proposes to utilize Fusion 360 for reinforcing product redesign simulation. A complete product redesign covers several significant areas, including industrial design, mechanical design, rendering and animation, computer-aided emulation (CAE), and computer-aided manufacturing (CAM). Fusion 360 presents an overview of collaboration, breaks the barriers between art and manufacturing, and blocks between design and processing. Using Fusion 360 user interface for simulation, the static FEA simulation results can be visualized. For the case study, it is observed that the results for stress and global displacement are within the critical yield strength values of the respective material, with mass customization. As a result of structural analysis during the design stage, the assessment of three-wheeled cargo motorcycle in terms of their durability and mechanical resistance is possible without putting the user at risk. Based on the obtained results, the structure strength was compared.
Implementation of Robot Operating System on Autonomous Surface Vehicle for Trajectory Localization with You Only Look Once Method Rinanto, Noorman; Gusti Audryadmaja, Anugerah Ekha; Ahmad Putra, Zindhu Maulana; Khumaid, Agus; Adhitya, Ryan Yudha; Syaiin, Mat; Rachman, Isa
Jurnal Teknik Elektro dan Komputer TRIAC Vol 11, No 2 (2024): Oktober 2024
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v11i2.28070

Abstract

The development of robotics technology, especially in the field of autonomous vehicles, has made rapid progress in recent years. This study focuses on the development of a trajectory detection and localization system on an Autonomous Surface Vehicle (ASV) using the Robot Operating System (ROS) and the You Only Look Once algorithm version five (YOLOv5). ASV is an autonomous surface vehicle used for various applications, such as underwater mapping and environmental monitoring. In this study, ROS is implemented as a hardware and software integration platform to improve the accuracy of object detection and localization, especially the red and green buoys as trajectory boundaries. Testing was carried out in a real environment to assess the performance of the system, which was previously only based on simulation. The results showed that the integration of ROS and YOLOv5 increased the navigation speed of the ASV, with an increase in the average travel time from 1 minute 16.2 seconds to 1 minute 11.2 seconds, and the success of object detection reached 70% out of 50 trials. This study contributes to the development of ASV technology by increasing the accuracy, efficiency, and reliability of the system in detecting and localizing objects in complex trajectory areas.Bahasa IndonesiaPerkembangan teknologi robotika, terutama dalam bidang kendaraan otonom, telah mengalami kemajuan pesat dalam beberapa tahun terakhir. Pada penelitian ini berfokus terhadap pengembangan sistem deteksi dan pelokalan lintasan pada Autonomous Surface Vehicle (ASV) menggunakan Robot Operating System (ROS) dan algoritma You Only Look Once versi kelima (YOLOv5). ASV merupakan kendaraan permukaan otonom yang digunakan untuk berbagai aplikasi, seperti pemetaan bawah laut dan pemantauan lingkungan. Dalam penelitian ini, ROS diimplementasikan sebagai platform integrasi perangkat keras dan lunak untuk meningkatkan akurasi deteksi dan lokalisasi objek, khususnya buoy merah dan hijau sebagai pembatas lintasan. Pengujian dilakukan dalam lingkungan nyata untuk menilai performa sistem, yang sebelumnya hanya berbasis simulasi. Hasil penelitian menunjukkan bahwa integrasi ROS dan YOLOv5 meningkatkan kecepatan navigasi ASV, dengan peningkatan rata-rata waktu tempuh dari 1 menit 16,2 detik menjadi 1 menit 11,2 detik, serta keberhasilan deteksi objek mencapai 70% dari 50 percobaan. Penelitian ini berkontribusi pada pengembangan teknologi ASV dengan peningkatan akurasi, efisiensi, dan keandalan sistem dalam mendeteksi dan melokalisasi objek di area lintasan yang kompleks.
Akuisisi Data NMEA 0183 AIS Berbasis Mikrokontroler sebagai Sistem Monitoring Informasi Kapal RACHMAN, ISA; HAMMAM NURAFALAH, RAMADANI BIMA; RINANTO, NOORMAN
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 7, No 1: Published January 2019
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v7i1.97

Abstract

ABSTRAKData kapal dari perangkat AIS (Automatic Identification System) merupakan sumber informasi bagi nahkoda kapal laut. Informasi-informasi tersebut diperoleh dengan mengubah menu secara manual pada layar AIS yang berukuran kecil. Pembuatan perangkat pada penelitian ini difungsikan sebagai pendukung kinerja AIS dalam penyampaian informasi secara berkelanjutan dan otomatis. Data NMEA (National Marine Electronics Association) 0183 dari AIS MA-500TR diakuisisi melalui proses penafsiran, pemilihan, penguraian dan pengurutan untuk menghasilkan data RMC (Recommended Minimum Specific) menggunakan bahasa C pada Arduino Uno R3. Kesesuaian tampilan data RMC untuk waktu, posisi dan tanggal pada modul LED P10 dengan AIS MA-500TR sebesar 100 %. Sedangkan tampilan untuk kecepatan dan heading pada modul LED P10 memiliki akurasi lebih tinggi daripada AIS MA-500TR karena mampu menampilkan dua digit angka setelah tanda koma.Kata kunci: kapal, AIS, informasi, NMEA 0183, akuisisi ABSTRACTShip’s data from the AIS (Automatic Identification System) device is a source of information for the shipmaster. That information is obtained by manually changing the menu on the small size of the AIS screen. The prototype in this study is used to support AIS performance in order to get information continuously and automatically. NMEA (National Marine Electronics Association) 0183 data from the AIS MA-500TR was acquired through the process of interpretation, filtering, parsing and sorting to generate RMC (Recommended Minimum Specific) data using C language on the Arduino Uno R3. The accuracy of RMC data display for time, position and date on the LED P10 module with the AIS MA-500TR are 100 %. While the display for speed and heading on the LED P10 module has a higher accuracy than the AIS MA-500TR because it is able to display two-digit numbers after a comma.Keywords: ship, AIS, information, NMEA 0183, acquisition
Implementation of integrated temperature, humidity, and dust monitoring system on building electrical panel Khumaidi, Agus; Hasin, Muhammad Khoirul; Pujiputra, Anggarjuna Puncak; Irsyad, Sholahuddin Muhammad; Rinanto, Noorman; Rachman, Isa; Budi, Perdinan Setia; Malik, Alfianto Taufiqul; Bayu, Nurissabiqoh Binta
Journal of Soft Computing Exploration Vol. 5 No. 4 (2024): December 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i4.483

Abstract

This research aims to develop and implement an electrical power monitoring system at the Sub Sub Distribution Panel (SSDP) in the Building. The system is designed to monitor power usage in real-time, provide accurate information on energy consumption, and detect potential energy waste. The methodology used includes hardware and software design. The hardware consists of current and voltage sensors connected to a microcontroller. The data collected by the sensors is then transmitted via Wi-Fi network to the server for analysis. The software uses an Internet of Things (IoT) platform that displays the data in the form of graphs and tables. The implementation shows that the system is capable of monitoring power usage with a high degree of accuracy. The sensors used, namely PM2100 for voltage, SHT20 for temperature and humidity, and GP2Y101AU0F for dust concentration, proved effective in generating accurate real-time data. Based on the test results, the voltage measurement error with the PM2100 was only 0.035%, while the current measurement resulted in an error of 0.48%. The SHT20 sensor recorded an error of 2.4% for temperature and 1.0% for humidity. Dust measurements with the GP2Y101AU0F sensor had a very small error of 0.02%. These results indicate that the tested device has a sufficient level of precision for electrical power and environmental monitoring applications.
Peningkatan Minat Siswa terhadap Teknologi Kelautan melalui Demonstrasi Robot Bawah Air Noorman Rinanto; Imam Sutrisno; Petrisia Widyasari Sudarmadji; Antonius Edy Kristiyono
Bulletin of Community Engagement Vol. 4 No. 2 (2024): Bulletin of Community Engagement
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bce.v4i2.1456

Abstract

This research examines the effectiveness of using underwater robot demonstrations as a learning medium to increase students' interest in marine technology. The research was conducted using a quasi-experimental method on MAN 2 Madiun students. The experimental group took part in the underwater robot demonstration, while the control group did not. The results showed that students in the experimental group experienced a significant increase in interest in marine technology compared to the control group. These findings suggest that live demonstrations are an effective method for increasing students' interest in complex topics such as marine technology. underwater robot demonstrations have a significant influence in increasing students' interest in marine technology. Students who took part in the demonstration experienced a much greater increase in interest compared to the control group who did not receive similar treatment.  
Co-Authors , Rini Indarti Adam Maulana Adhitya, Ryan Yudha Adhitya, Ryan Yudha Adianto Afiqi, Muhammad Agus Khumaidi Agus Khumaidi Agus Khumaidi Ahmad Alam Ardiansyah Ahmad Erlan Afiuddin Aldi Febriansyah Alfianto Taufiqul Malik Anda Iviana Juniani Anggarjuna Puncak Pujiputra Annas Singgih Setiyoko Antonius Edy Kristiyono Ardhan, Mohammad Ardhan Fawwaz Arfianto, Afif Zuhri Arigo, Mohammad Arigo Al. Hafid Arvi, Muhammad Indrastata Iftitana Bagus, Pradana Bagus Mauludin Bayu Wiro Karuniawan Bayu, Nurissabiqoh Binta Budi Prasojo Budi, Perdinan Setia C. I. Sutrisno Catur Rakhmad Handoko Catur Rakhmad Handoko, Catur Rakhmad Dana Hartono Dhika Adhitya Purnomo Dian Asa Utari Didi, Perdinan Setia Budi Dimas Pristovani Riananda Dwi Sasmita Aji Pambudi Edy Setiawan Endrasmono, Joko Evi Nafiatus Sholikhah Farizi Rachman Faruq, Habib Ngumar Fitri Hardiyanti Gresela Sitorus Gusti Audryadmaja, Anugerah Ekha Habib Ngumar Faruq Hafid, Mohammad Arigo Al. HAMMAM NURAFALAH, RAMADANI BIMA HAMMAM NURAFALAH, RAMADANI BIMA Hartono, Dana Hasin, Muhammad Khoirul Ii Munadhif Ii Munadhif Ii Munadhif, Ii Ika Pramestiani Imam Sutrisno Irfan Marzuqi Isa Rachman Joko Endrasmono Khumaid, Agus Lilik Subiyanto Lilik Subiyanto Malik, Alfianto Taufiqul Mardlijah - Masitah, Dewi Ayu Mat Syai'in Mat Syai’in Maulana Ahmad Putra, Zindhu Mirna Apriani Mochamad Yusuf Santoso Muhammad Ja'far Ubaidillah Muhammad Khoirul Hasin Nurissabiqoh Binta Bayu Petrisia Widyasari Sudarmadji Prameswari, Sartika Oktavian Puji Pratama, Novaly Arya Pristovani Riananda, Dimas Pujiputra, Anggarjuna Puncak Purnomo, Dhika Adhitya Putra, Zindhu Maulana Ahmad Putri Nur Rahayu Rafsanjani, Zainu Rahmat, M. Basuki Riananda, Dimas Pristovani Riko Satrya Fajar Jaelani Putra Rizal Indrawan Rizky, Sofi Berliana Rohmansyah, Ade Fitra Ryan Yudha Adhitya Ryan Yudha Adhitya Sa'diyah, Aminatus Sarena, Sryang Tera Sarena, Sryang Tera Setiyono, Dwi Agus Sholahuddin Muhammad Irsyad Sofi Berliana Rizky Sryang T Sarena Sryang Tera Sarena Syaiin, Mat Tama, Shafa Frilla Tri Andi Setiawan Tusila, Fonda Jiwa Arkananta Tusila Ulya, A. Arif Zuchal Urip Mudjiono, Urip Wahyudi, Mohammad Thoriq Widya Primaswari Putri1 Yaqin, Muhammad Ainul Yaqin Zainu Rafsanjani Zindhu Maulana Ahmad Zindhu Maulana Ahmad Putra Zindhu Maulana Ahmad Putra