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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Panrita Abdi - Jurnal Pengabdian pada Masyarakat Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JMM (Jurnal Masyarakat Mandiri) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknologi Informasi dan Multimedia Smart Society: Community Service and Empowerment Journal Journal Serambi Engineering (JSE) Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Elektronika dan Telekomunikasi
Istiqomah
Universitas Telkom
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Social Sciences Other

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IMPLEMENTASI VISION TECHNOLOGY PADA WEB-BASED TOURISM ATTRACTIONS PACKAGES AND MARKETING DI DESA LAKSANA, JAWA BARAT Muhammad Hablul Barri; Husneni Mukhtar; Istiqomah Istiqomah; Mochamad Yudha Febrianta
JMM (Jurnal Masyarakat Mandiri) Vol 6, No 3 (2022): Juni
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1953.624 KB) | DOI: 10.31764/jmm.v6i3.7711

Abstract

Abstrak: Desa Laksana mempunyai banyak potensi, tetapi optimalisasi dan pelaksanaan dari tujuan penetapan sebagai destinasi Desa Wisata masih mengalami banyak hambatan dari sisi bagaimana pengelolaan dan konsep dari desa wisata yang ingin dilaksanakan. Tujuan kegiatan pengabdian masyarakat ini adalah membantu Desa laksana dalam mempromosikan potensi wisata serta mengoptimalkan wisata alam yang ada menggunakan solusi teknologi. Metode yang digunakan adalah pendampingan pembuatan blue print paket wisata melalui pembuatan website dan pembuatan konsep wisata budaya dengan menggunakan Animasi Proyektor dan Laser Uap sebagai nilai tambah desa wisata. Hasil dari kegiatan ini adalah sebuah paket wisata Desa Kamojang dengan konsep pertunjukan geothermal berbasi teknologi dengan tetap menonjolkan seni dan budaya masyarakat sekitar. Sebanyak 99% masyarakat yang disurvei sangat antusias dengan kegiatan yang terlaksana, dan berharap agar program ini memberikan inovasi secara berkelanjutan untuk meningkatkan ekonomi warga sekitar.Abstract: Laksana Village has a lot of potential, but the optimization and implementation of the goal of setting as a tourist village destination still has many obstacles in terms of how the management and concept of the tourist village to be implemented. The purpose of this community service activity is to help implement villages in promoting tourism potential and optimizing existing natural tourism using technological solutions. The method that used is assistance in making blue prints of tour packages through website creation and making cultural tourism concepts using Projector Animation and Steam Lasers as added value for tourist villages. The result of this activity is a Kamojang Village tour package with the concept of technology-based geothermal performances while still highlighting the arts and culture of the surrounding community. As many as 95% of the people surveyed are very enthusiastic about the activities implemented, and hope that this program provides continuous innovation to improve the economy of the surrounding residents. 
Lung Sounds Classification Based on Time Domain Features Achmad Rizal; Istiqomah Istiqomah
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 8, No 2 (2022): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i2.24007

Abstract

Signal complexity in lung sounds is assumed to be able to differentiate and classify characteristic lung sound between normal and abnormal in most cases. Previous research has employed a variety of modification approaches to obtain lung sound features. In contrast to earlier research, time-domain features were used to extract features in lung sound classification. Electromyogram (EMG) signal analysis frequently employs this time-domain characteristic. Time-domain features are MAV, SSI, Var, RMS, LOG, WL, AAC, DASDV, and AFB. The benefit of this method is that it allows for direct feature extraction without the requirement for transformation. Several classifiers were used to examine five different types of lung sound data. The highest accuracy was 93.9 percent, obtained Using the decision tree with 9 types of time-domain features. The proposed method could extract features from lung sounds as an alternative.
IMPLEMENTASI ALAT PEMANTAUAN AKTIVITAS DAN PELACAKAN LOKASI JATUH (E-CARE) UNTUK LANSIA DI DAERAH CIKUTRA KOTA BANDUNG Istiqomah; Hesty Susanti; Husneni Mukhtar; Willy Anugrah Cahyadi; Bambang Setia Nugroho; Suto Setiyadi; Nicola Akmal Afrinaldi; Nadia Husnul; Fikri Ardian
Panrita Abdi - Jurnal Pengabdian pada Masyarakat Vol. 7 No. 1 (2023): Jurnal Panrita Abdi - Januari 2023
Publisher : LP2M Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/pa.v7i1.19312

Abstract

Indonesia has a percentage of an elderly population of as much as 9.03%, so it can be stated that Indonesia is a country with an old structure. This makes Indonesia pay attention to the health, activity, and productivity of the elderly. Changes in physical condition can affect the activities of the elderly significantly and increase the risk of falling. Therefore, a monitoring tool for elderly activities and location points for elderly falls was developed called e-care for the elderly. E-care Elderly is designed to be able to monitor the position of the elderly via GPS and detect if the elderly have fallen. This tool is connected to the application installed on the smartphone. In addition, this elderly E-care is equipped with a camera that can monitor the situation around the elderly. This service will be given to 10 elderly in Cikutra Village, Cibeunying Kidul District, Bandung City. There will be several preparations, implementation, and assistance activities for E-care for the Elderly. According to a survey of respondents who took part in this community service, more than 80% felt the tool had a performance that followed the needs, and 100% thought it was appropriate and very suitable for this activity with the goals and conditions of the community and it was hoped that the continuity of this activity. The survey results illustrate that the community understands all community service activities and how to use and benefit from E-Care tools.  ---  Indonesia memiliki persentase penduduk lansia sebanyak 9,03%, sehingga dapat dinyatakan indonesia merupakan negara berstruktur tua. Hal tersebut membuat Indonesia harus memperhatikan  kesehatan, keaktifan, dan produktivitas dari lansia. Perubahan kondisi fisik dapat mempengaruhi aktivitas lansia terutama dan menambah resiko jatuh. Oleh karena itu dikembakan alat pemantau aktivitas lansia dan titik lokasi jatuh lansia yang dimamakan e-care lansia. E-care Lansia dirancang agar dapat memantau posisi lansia melalui GPS dan mendeteksi jika lansia terjatuh. Alat ini terhubung ke aplikasi yang terpasang pada telepon pintar. Selain itu, E-care lansia ini dilengkapi dengan kamera yang dapat memantau keadaan di sekitar lansia. Pada abdimas ini akan diberikan kepada 10 lansia di Kelurahan Cikutra, Kecamatan Cibeunying Kidul, Kota Bandung.  Akan ada beberapa kegiatan persiapan, pengimplementasian dan pendampingan penggunaan E-care Lansia. Menurut survei responden yang mengikuti kegiatan abdimas lebih dari 80 % merasa alat memiliki kinerja yang sesuai dengan kebutuhan dan 100 % merasa sesuai dan sangat sesuai kegiatan ini dengan tujuan dan kebutuhan masyarakat dan diharapkan keberlangsungan kegiatan ini. Dari hasil survei tersebut juga bisa menggambarkan bahwa masyarakat sasar paham tentang seluruh kegiatan abdimas dan paham cara penggunaan dan manfaat dari alat E-Care.
WORKSHOP ARDUINO UNTUK MENUNJANG PEMBELAJARAN STEM UNTUK GURU IPA SMP Novi Prihatiningrum; Muhammad Hablul Barri; Brahmantya Aji Pramudita; Azam Zamhuri Fuadi; Istiqomah Istiqomah; Faisal Budiman
JMM (Jurnal Masyarakat Mandiri) Vol 6, No 5 (2022): Oktober
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v6i5.9783

Abstract

Abstrak: Dengan pesatnya kemajuan di bidang teknologi, dunia pendidikan turut berkembang dengan menerapkan teknologi informasi untuk memberikan pembelajaran yang kreatif dan inovatif. Salah satu model pembelajaran yang diterapkan adalah STEM (Science, Technology, Engineering and Mathematics) yang mendorong siswa berpikir kreatif dalam memecahkan setiap masalah. Untuk dapat menerapkan model pembelajaran STEM, para guru dituntut untuk dapat memahami konsep STEM dan mengaplikasikan teknologi ke dalam pembelajaran. Guru-guru IPA SMP di Kabupaten Bandung Barat mengalami kesulitan mempelajari teknologi robotika, IoT (Internet of Things), dan sistem tertanam. Kegiatan workshop dilaksanakan dengan tujuan meningkatkan pemahaman para guru terhadap konsep STEM dan mengaplikasikan teknologi dalam pembelajaran. Kegiatan workshop diselenggarakan selama satu hari penuh bagi 20 guru IPA dengan metode presentasi, demo dan pelatihan untuk menggunakan perangkat robotika dan IoT menggunakan Arduino. Workshop meliputi pengenalan konsep mikrokontroler, sensor dan aktuator, serta pemrograman Arduino. Setelah mengikuti kegiatan workshop, 80 % peserta memahami penggunaan perangkat Arduino untuk mendukung pembelajaran STEM.Abstract: With the rapid advances in technology, the world of education is evolving by implementing information technology to serve more creative and innovative learning. One of the learning models implemented is STEM (Science, Technology, Engineering and Mathematics) which encourages students to think creatively in problem solving. To be able to apply STEM learning model, teachers are required to understand the concept of STEM and implement technology to the learning process. The middle school science teacher in Kabupaten Bandung Barat experience difficulties in learning technology such as robotics, IoT (Internet of Things), and embedded system. The workshop aims to increase the teachers’ understanding of STEM concept and to apply technology to the learning process.The workshop is held for one full day for 20 science teachers which includes presentation, demo and training to use the robotic device and IoT using Arduino. The workshop includes introduction of microcontroller, sensors and actuators, and Arduino programming. After workshop, 80 % of participants understand the use of Arduino for learning STEM.
Best Machine Learning Model For Face Recognition in Home Security Application Istiqomah; Faqih Alam; Achmad Rizal
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 4 No 4 (2023): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v4i4.306

Abstract

Particularly since the COVID-19 outbreak, Indonesia has seen an annual surge in criminal prosecutions. To increase home security, many technological advances have been made. Face recognition served as the main form of security for almost all of them. Face detection, face segmentation, and face recognition are the three steps in the face recognition process. To avoid misclassification and increase system dependability, accurate recognition of faces becomes crucial in security systems. The optimization tool Grid Search CV produces using a number of machine learning methods that are proposed. Each machine learning has been created using its best model and has attained accuracy levels of at least 90%. The most effective strategy is SVM, which has 100% accuracy rates. A technique for choosing the best model is an alternative. The computation time will be compared to that of more complex systems before these results are eventually communicated to the real system
PELATIHAN LEARNING MANAGEMENT SISTEM DI SEKOLAH ALAM GAHARU, KABUPATEN BANDUNG, JAWA BARAT Istiqomah Istiqomah; Brahmantya Aji Pramudita; Achmad Rizal
JMM (Jurnal Masyarakat Mandiri) Vol 7, No 2 (2023): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v7i2.13345

Abstract

Abstrak: Sekolah Alam Gaharu adalah sekolah alam yang baru didirikan pada tahun 2011 yang terletak di Kabupaten Bandung, Jawa Barat. Konsep sekolah alam disini memberikan kebebasan siswa belajar dari pengalaman hasil obsevasi mereka dengan alam. Akan tetapi, proses pembelajaran yang dilakukan tidak fleksibel. Sehingga saat masa COVID-19, proses pembelajaran menjadi terganggu karena larangan untuk kegiatan langsung tatap muka dan tidak ada media yang digunakan sebagai pengganti proses pembelajaran. Oleh karena itu, pelatihan Learning Management System (LMS) kepada guru sekolah alam gaharu ini dilakukan untuk mendukung konsep pembelajaran tersebut. LMS ini diharapkan membantu siswa sekolah alam Gaharu belajar dimana saja. Selain itu, para guru dapat mengoptimalkan pembelajaran dengan keleluasaan pemberian materi kepada siswanya. Dipelatihan ini diajarkan penggunaan Google Classroom. Selain itu, pelatihan ini menggunakan metode community development yang mana pelatihan ini mengembangkan dan memperbaiki proses pembelajaran yang sudah diterapkan dengan memberikan langkah-langkah penyusunan materi pada LMS, sehingga dapat digunakan untuk mendukung pembelajaran yang sudah terbentuk menjadi lebih baik. Hasil yang diharapkan pada pelatihan ini adalah Sekolah Alam Gaharu memiliki pilihan terkait dengan proses pembelajaran, memberikan tambahan media pembelajaran, dan media kreativitas guru Sekolah Alam Gaharu. Berdasarkan hasil dari pelatihan yang diberikan, respon peserta terhadap pelatihan yang diberikan memperoleh hasil lebih dari 90% peserta sangat puas dengan pelatihan yang dilaksanakan and 85,7% peserta berminat mengimplementasikan LMS Google Classroom dalam proses pembelajaran.Abstract: Sekolah Alam Gaharu is a nature school that was founded in 2011 and located in Bandung Regency, West Java. The concept of the natural school here gives students the freedom to learn from their observing experiences with nature. However, the learning process is not flexible. Thus, the learning process, during the COVID-19 period, was disrupted because of the ban on face-to-face activities, and no media was used as a substitute for the learning process. Therefore, the Learning Management System (LMS) training for Sekolah Alam Gaharu teachers was carried out to support this learning concept. The LMS is expected to help Sekolah Alam Gaharu students learn anywhere. In addition, teachers can optimize learning with the flexibility to provide material to their students. This training teaches to use Google Classroom. Moreover, this training uses community development which this training develops and improves the implemented learning process by providing the learning material forming schemes on LMS so that it can be used to support the learning process for the better. The expected result of this training is Sekolah Alam Gaharu has the option regarding the learning process, the learning media addition, and creativity media for Sekolah Alam Gaharu’s teacher. Based on the result of the training, the participant’s response obtains more than 90% of participants were delighted with the training carried out and 85.7% of participants want to implement LMS Google Classroom in the learning process.
PEMENUHAN KEBUTUHAN MEDIA PEMBELAJARAN DI SEKOLAH ALAM DENGAN MENGIMPLEMENTASIKAN SISTEM PEMANTAUAN KOLOM IKAN DI BEBERAPA TITIK BERBASIS IOT Istiqomah Istiqomah; Arif Abdul Aziz; Achmad Rizal; Muhammad Fahriza Bahrudin; Soediponegoro Soediponegoro; Azriansyah Azriansyah; Achmad Ibnu Abas; Muhammad Yusuf Salman
JMM (Jurnal Masyarakat Mandiri) Vol 7, No 4 (2023): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v7i4.16318

Abstract

Abstrak: Di sekolah alam process pembelajaran mengedepankan interaksi dengan alam. Terkadang sekolah alam memiliki beberapa fasilitas sebagai media pembelajaran yang berhubungan dengan alam seperti kolam. Tidak terkecuali di Sekolah Alam Gaharu sebagai mitra di pengambdian masyarakat ini. Sekolah Alam Gaharu yang memiliki beberapa kolam ikan yang digunakan untuk fasilitas observasi alam. Untuk mempermudah fasilitas tersebut digunakan sebagai media pembelajaran, Sekolah Alam Gaharu membutuhkan satu sistem pemantauan semua kolam dan media belajar. Oleh karena itu, untuk memenuhi kebutuhan tersebut, dikembangkan satu sistem pemantauan kolam ikan dibeberapa titik untuk parameter keasaman dan temperature air kolam yang terintegrasi oleh satu sistem IoT. Sistem yang diterapkan sebagai solusi di Sekolah Alam Gaharu adalah dua sensor node yang digunakan untuk mengakuisisi data PH dan temperatur dan satu sistem gateway sebagai sistem integrasi kedalam satu sistem IoT. Kemudia semua parameter PH dan temperatur kolam dapat dipantau di aplikasi android. Untuk mengetahui apakah sistem berjalan sesuai kebutuhan Sekolah Alam Gaharu, dilakukan survei umpan balik ke guru sekolah tersebut. Dari Umpan balik yang dilakukan ke lima belas guru, didapatkan respon bahwa seluruh guru sangat setuju bahwa semua komponen sistem yang telah diimplementasikan sangat membantu dalam process pembelajaran. Seluruh responden menyatakan sangat setuju 100% bahwa sistem mampu membantu process pembelajaran di Sekolah Alam Gaharu. Abstract: In natural schools, the learning process emphasizes interaction with nature. Sometimes natural schools have several facilities as learning media related to nature, such as ponds. Gaharu Natural School is no exception as a partner in this community service. Gaharu Nature School has several fish ponds used as natural observation facilities. Gaharu Natural School requires a monitoring system for all ponds and learning media to make it easier for these facilities to be used as learning media. Therefore, to meet these needs, a fish pond monitoring system has been developed at several points for the parameters of acidity and pond water temperature, which are integrated by an IoT system. The system implemented as a solution at the Gaharu Natural School is two sensor nodes used to acquire PH and temperature data and a gateway system as an integration system into an IoT system. Then all PH and pool temperature parameters can be monitored in the Android application. A feedback survey was conducted on the school's teachers to determine whether the system is running according to the needs of the Gaharu Natural School. From the feedback provided to the fifteen teachers, the responses were obtained that all teachers strongly agreed that all the components of the system that had been implemented were very helpful in the learning process. All respondents strongly agreed 100% that the system could assist the learning process at Gaharu Natural School. 
Rancang Bangun Sistem Pemilahan Lele Otomatis dan Pengaruh Dimmer Terhadap Debit Pompa Air Alif Aditya Darmawan; Khilda Afifah; Istiqomah
Jurnal Serambi Engineering Vol. 9 No. 4 (2024): Oktober 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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

Abstract

Manual sorting of catfish is a labour-intensive process in catfish farming, requiring considerable time and effort. Therefore, an effective and user-friendly automated catfish grading system is required. Currently, several automated sorting systems have been developed using load cells, but these methods are inefficient as they require fish to be sorted one at a time. The method used in this system is similar to the concept of a coin sorter, where catfish flow through holes of different diameters according to their head size. In addition, the system uses a water pump to circulate water from the final storage tank back to the holding tank to help guide the fish to the sorting channel. The water flow rate of the pump can be adjusted using a dimmer, which works by limiting the voltage used by the pump. Testing of the grading system was carried out under two conditions, grading fish of the same size range and grading fish of a significantly different size range. The results showed that sorting fish of the same size range had a higher accuracy (86.1%) compared to sorting fish of a different size range (61.9%). An analysis of the effect of the dimmer on the pump was also carried out, showing that the dimmer can effectively control the water flow rate.
Selection EEG Electrode Positions for Epilepsy Seizure Detection Using Total Power Spectrum and Machine Learning Afifah, Khilda; Istiqomah, Istiqomah; Rizal, Achamd; Nugraha, Ramdhan
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 6 No. 4 (2024): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v6i4.9

Abstract

Detecting epileptic seizures poses significant challenges due to the complex and variable nature of EEG signals, particularly when aiming for implementation in wearable devices. The use of 64-channel EEG electrodes, while comprehensive, is impractical for wearable applications due to their size, cost, and the high computational load required for processing. The use of a single-channel EEG wearable device offers notable advantages, including reduced size and cost, making it more practical and comfortable for continuous monitoring in daily life. Additionally, the lower computational load enhances battery life and allows for real-time data processing, which is critical for timely seizure detection and intervention. This research investigates the detection of epileptic seizures using various machine learning algorithms and the power spectrum feature extraction method from EEG signals, aiming for application in wearable devices with a single-channel electrode. The study applied random forest (RF), K-nearest neighbor (KNN), decision tree (DF), support vector mechine (SVM), and logistic regression algorithms to assess their effectiveness. Results revealed that the power spectrum extraction method notably improved seizure detection accuracy, with RF and KNN achieving 93% and 92% accuracy respectively when using all EEG channels. When limited to a single channel, SVM demonstrated the highest accuracy of 82% with channel 3. These findings underscore the efficacy of the power spectrum method for EEG signal processing, providing significant improvements in accuracy and computational efficiency. The study concludes that the proposed approach is promising for enhancing epileptic seizure detection, suggesting further optimization for real-time application in wearable devices to develop accurate and efficient diagnostic tools.
Non-Contact Heart Rate Detection Using FMCW Radar Based on 1-D Convolutional Neural Networks Diyah Widiyasari; Istiqomah Istiqomah; Fiky Yosef Suratman; Suto Setiyadi
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 8 No 2 (2026): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v8i2.1547

Abstract

Non-contact heart rate (HR) estimation using frequency-modulated continuous-wave (FMCW) radar has emerged as a promising solution for unobtrusive, continuous vital-sign monitoring. However, accurately extracting HR from radar signals remains challenging because of low-amplitude cardiac-induced chest vibrations, environmental clutter, motion artifacts, and system noise. Traditional signal processing techniques, such as bandpass filtering combined with fast Fourier transform (FFT) analysis, are commonly employed to estimate HR in the frequency domain. Nevertheless, these approaches are highly sensitive to noise and often struggle to robustly capture weak cardiac components, leading to unstable or inaccurate estimates. To address these limitations, this study proposes a non-contact HR estimation framework based on FMCW radar combined with a one-dimensional convolutional neural network (1D-CNN). A systematic radar signal preprocessing pipeline is developed, including range-bin selection, phase extraction, noise suppression, filtering, and structured data labeling, to construct learning-ready input features. The 1D-CNN model is designed to automatically learn discriminative temporal patterns associated with cardiac activity directly from preprocessed radar signals. The proposed method is evaluated using two datasets: a publicly available dataset and an independently acquired dataset collected under controlled conditions. Performance is benchmarked against conventional bandpass filtering- and FFT-based HR estimation methods. The experimental results demonstrate that the proposed 1D-CNN framework achieves more accurate and stable HR predictions. On the public dataset, MAE decreases from 17.96 to 6.09 BPM, RMSE from 21.28 to 7.34 BPM, and MedAE from 17.66 to 5.43 BPM. The independent dataset yields consistent gains, with MAE decreases from 14.05 to 5.45 BPM, RMSE from 18.05 to 6.84 BPM, and MedAE from 10.74 to 4.57 BPM. These results indicate that the proposed 1D-CNN framework can effectively estimate HR from radar signals and demonstrate its capability to operate across datasets acquired with different radar frequencies
Co-Authors Abdillah Nur Isnaini Achmad Ibnu Abas Achmad Rizal Adzin Nabil Ihsan Alif Aditya Darmawan Arif Abdul Aziz Azam Zamhuri Fuadi Azriansyah Azriansyah Azriansyah Azriansyah Bambang Setia Nugroho Brahmantya Aji Pramudita Dien Rahmawati Diyah Widiyasari Faisal Budiman Faqih Alam Figo Azzam De Fitrah Fikri Ardian Fiky Yosef Suratman Fitrah, Figo Azzam De Garry Nelson Hesty Susanti Husneni Mukhtar Justin Fairman Tan Khilda Afifah Mochamad Yudha Febrianta Muhammad Fahriza Bahrudin Muhammad Fahriza Bahrudin Muhammad Hablul Barri Muhammad Yusuf Salman Nada Syifa Qolbiyah Nadia Husnul Naufal Widad Sundawa Ni Kadek Cindy Sriastiti Nicola Akmal Afrinaldi Novi Prihatiningrum Porman Pangaribuan Ramdhan Nugraha Rega Arzula Akbar Reza Ahmad Madani Soediponegoro Soediponegoro Soediponegoro Soediponegoro Suto Setiyadi Teguh Patriananda Tsania Puspa Kirana Vincentius Adisurya Fransisco Antu Wildan Khalid Wijaya Willy Anugrah Cahyadi