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All Journal Bulletin of Electrical Engineering and Informatics Journal of Degraded and Mining Lands Management ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Proceeding of the Electrical Engineering Computer Science and Informatics KOMPUTIKA - Jurnal Sistem Komputer TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika JMECS (Journal of Measurements, Electronics, Communications, and Systems) Prosiding Konferensi Nasional PKM-CSR Jurnal Nasional Teknik Elektro dan Teknologi Informasi eProceedings of Engineering Metris: Jurnal Sains dan Teknologi Jurnal INFOTEL Buletin Pos dan Telekomunikasi
Aloysius Adya Pramudita
Universitas Telkom
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Nursing Public Health Social Sciences

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Program Pengenalan Jurusan Teknik Melalui Aktivitas Fun Science Experiment Bagi Siswa MTS Darul Hikmah RYANU, HARFAN HIAN; Pramudita, Aloysius Adya; Sudjai, Miftadi
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 6 (2023): INOVASI PERGURUAN TINGGI & PERAN DUNIA INDUSTRI DALAM PENGUATAN EKOSISTEM DIGITAL & EK
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37695/pkmcsr.v6i0.1897

Abstract

Madrasah Tsanawiyah (MTS) is a formal education provider at the junior high school level with more emphasis on the content of Islamic Religious Education. MTS students generally have low exposure to the world of science and engineering so that very few/rare madrasah students continue their education, especially lectures in Engineering majors. This community service activity with the title "Introduction to the Engineering Department through Fun Science Experiment Activities for MTS Darul Hikmah Students" aims to increase students' interest from an early age in the world of science and engineering. The method used is project-based learning where students are involved in activities to design fans and automatic floor cleaners using batteries and a simple microcontroller. A total of 22 students from grade 7 at MTS Darul Hikmah were involved in this activity.This activity received a positive response from the target community. As many as 100% of participants were very satisfied with the output of the activity, and 100% of participants considered the activity very useful. As many as 90.5% of participants rated the activities as helping to provide aspirations for future goals, while as many as 9.5% of participants considered the activities unhelpful. In addition, 85.7% felt that this activity encouraged students to learn more about science and engineering, while 14.3% felt that the activity had no impact. That way, this activity can be concluded to have the output according to the expected target.
Random sample consensus-based room mapping using light detection and ranging Latukolan, Merlyn Inova Christie; Pramudita, Aloysius Adya; Armi, Nasrullah; Hamdani, Nizar Alam; Susilawati, Helfy; Satyawan, Arief Suryadi
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.6932

Abstract

Light detection and ranging (LiDAR) is a high-accuracy data source for geospatial providers that is displayed in two dimensions (2D) or three dimensions (3D). It is used to measure the distances or 2D or 3D maps of the environment. This study examines a random sample consensus (RANSAC)-based room mapping approach utilizing LiDAR. The RANSAC is used to achieve line fitting as a solution to acquire missing or incomplete point cloud data during the process of room scanning. The maximum x-y distance is proposed to achieve a proper model to fix the missing line during the LiDAR scanning process. Data retrieval uses ground-based LiDAR located in the middle of a certain room with the dimension of 5.76×4.95 m2. To explore a room mapping, a 2D LiDAR YDLIDAR G4 with an operating frequency of 7 Hz is used. The derived raw data is then visualized with MATLAB. The results show that the RANSAC can perform line-fitting for missing or illegible LiDAR point cloud data during the scanning process due to reflection or obstacles. The increase in the amount of data used is then directly proportional to the probability of the number of correct models.
Comparison of Supervised Learning Methods for Spatial User Clustering in Downlink NOMA Hurianti Vidyaningtyas; Iskandar; Hendrawan; Pramudita, Aloysius Adya
Buletin Pos dan Telekomunikasi Vol. 22 No. 1 (2024): June 2024
Publisher : Centre for Research and Development on Resources, Equipment, and Operations of Posts and I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17933/bpostel.v22i1.385

Abstract

The performance of Power Domain Non-Orthogonal Multiple Access (PD-NOMA) is affected by the performance of Successive Interference Cancellation (SIC) in decoding user data. The large number of users will cause error propagation in SIC, which results in decreased SIC performance. This research aims to optimize the performance of SIC in PD-NOMA by applying spatial concepts to classify users. This research applies various supervised machine learning classification algorithms, including Decision Tree, K-Nearest Neighbors (K-NN), Support Vector Machine (SVM), Random Forest, Logistic Regression, and Naive Bayes. The experimental results show that Random Forest achieves the highest accuracy in classifying users, followed by Decision Tree. In addition, in performance measurement using ROC (Receiver Operating characteristic) and AUC (Area under the Curve) curves, the Random Forest method achieved the best results. In terms of experimentation process time, a decision tree has a faster time compared to a random forest. Overall, the Random Forest algorithm is suitable for the task of user clustering in the context of PD-NOMA, which utilizes the spatial concept from user to base station (BS).
Deteksi Sinyal : Overview Model Parametrik menggunakan Kriteria Neyman-Pearson SURATMAN, FIKY YOSEF; PRAMUDITA, ALOYSIUS ADYA; ARSENO, DHARU
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.v7i1.14

Abstract

ABSTRAKDeteksi sinyal banyak diimplementasikan dalam sistem pengolahan sinyal yang sangat kompleks. Sebagai contoh digunakan pada sub sistem pengolahan sinyal radar pengintai yang berfungsi untuk deteksi dan pelacakan target. Salah satu implementasi terbaru dari deteksi sinyal adalah untuk fungsi spectrum sensing pada Cognitive Radio. Deteksi sinyal dapat didefinisikan sebagai binary hypothesis testing, yaitu memutuskan satu dari dua keadaan: hanya derau atau tidak ada sinyal (null hypothesis), dan ada sinyal (alternative hypothesis). Teori deteksi sinyal merupakan bidang yang cukup luas, sehingga paper ini fokus pada pendekatan parametrik dengan Teorema Neyman-Pearson. Kedua hypothesis dimodelkan dengan variabel acak dengan distribusi rapat kemungkinan yang sama tetapi mempunyai parameter yang berbeda. Ditunjukkan penurunan test statistic untuk dua skenario, yaitu distribusi dengan diketahui sebagian dan diketahui penuh. Bagian simulasi menunjukkan kinerja detektor sinyal secara analitis mempunyai hasil yang serupa dengan simulasi Monte Carlo.Kata kunci: deteksi sinyal, Neyman-Pearson, hypothesis testing, spectrum sensing, radar. ABSTRACTSignal detection has been used in many sophisticated signal processing systems, such as for signal processing in surveillance radar which is to detect and to track a radar target. Recently, signal detection is widely used for spectrum sensing in Cognitive Radio. Signal detection is a binary hypothesis testing problem which is to choose one out of two conditions, i.e., noise only or signal absence (null hypothesis), and signal presence (alternative hypothesis). Since signal detection theory is a wide area, this paper only focuses on parametric approach using Neyman-Pearson theorem. The two hypotheses are modeled by random variables having the same distribution but different parameters. The derivations of test statistics (detectors) are shown for two scenarios, i.e., partially known and perfectly known distributions. Analytical results and Monte Carlo simulations of the derived detectors show similar performances.Keywords: signal detection, Neyman-Pearson, hypothesis testing, spectrum sensing, radar.
Radar FMCW dengan IQ Demodulator Jamak untuk Deteksi Pernafasan pada Pengaruh Clutter PRATIWI, HANA; HIDAYAT, MUJIB RAMADAN; MAARIF, AHMAD FATHAN; PRAMUDITA, ALOYSIUS ADYA; SURATMAN, FIKY YOSEP
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 1: Published January 2020
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i1.125

Abstract

ABSTRAK Pada pendeteksian pernafasan menggunakan sistem radar maka adanya pantulan dari sejumlah objek statis di sekitar target akan memberikan pengaruh pada hasil pendeteksian. Modifikasi pada sistem FMCW telah diusulkan untuk memberikan kemampuan dalam mendeteksi pernafasan multi target. Konsep deteksi fasa dilaborasi pada metode usulan untuk menghadirkan kemampuan deteksi pergeseran kecil. IQ demodulator jamak diusulkan sebagai konsep modifikasi pada sistem FMCW untuk permasalah tersebut. Pengujian kemampuan sistem usulan pada kondisi clutter dilakukan dengan melakukan kajian teoritis dan simulasi komputer. Pengujian dilakukan pada kawasan waktu dan kawasan frekuensi. Hasil-hasil yang diperoleh menunjukkan bahwa metode IQ demodulator jamak yang diusulkan memiliki kemampuan dalam mendeteksi pernafasan secara multi target dan mampu mempertahankan kemampuan tersebut pada kondisi adanya clutter. Kata kunci: deteksi pernafasan, multi target, FMCW, IQ demodulator, clutter ABSTRACT In the detection of respiration using a radar system, the reflection of static objects around the target will have an effect to the detection results. Modifications to the FMCW system have been proposed to provide the ability to detect multi-target respiration. The concept of phase detection is elaborated on the proposed method to provide small shift detection capabilities. Multiple IQ demodulator is proposed as a modified concept on the FMCW system for this problem. Testing the ability of the proposed system under clutter conditions is carried out by conducting theoretical studies and computer simulations. Tests carried out in the time zone and frequency region. The results obtained indicate that the proposed multiple-method IQ demodulator has the ability to detect multi-target respiration and is able to maintain that ability in the presence of clutter. Keywords: respiration detection, multi target, FMCW, IQ demodulator, clutter
Pemodelan Sistem Radar untuk Analisis Pengaruh Pakaian sebagai Obstacle Pendeteksian Pernapasan DHIYANI, AZIZKA AYU; PRAMUDITA, ALOYSIUS ADYA; WAHYU, YUYU; RYANU, HARFAN HIAN
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 10, No 4: Published October 2022
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i4.932

Abstract

ABSTRAKContinuous Wave Radar (CW Radar) memiliki banyak aplikasi terutama dalam bidang kesehatan. CW Radar yang bekerja pada rentang frekuensi lebar memiliki keunggulan seperti bandwidth lebar, dan tingkat akurasi yang tinggi sehingga dapat digunakan untuk deteksi pergerakan dinding dada atau perut pada pernapasan. Namun, obstacle berupa pakaian dapat memengaruhi deteksi pernapasan manusia dengan sistem Radar. Pada penelitian ini dianalisis pengaruh pakaian terhadap deteksi pernapasan. Sistem Radar dimodelkan dengan Vector Network Analyzer (VNA), BladeRF, serta MATLAB untuk mengubah domain frekuensi menjadi domain waktu. Percobaan dilakukan pada empat jenis kain dengan jarak objek ke antena yaitu 45 cm. Diperoleh bahwa obstacle memiliki atenuasi kecil dan delay yang tidak signifikan, serta hasil BladeRF menunjukkan pola pernapasan dapat dideteksi. Sehingga disimpulkan bahwa obstacle tidak memengaruhi hasil pendeteksian pernapasan menggunakan sistem Radar.Kata kunci: CW Radar, deteksi pernapasan, pakaian, VNA, BladeRF. ABSTRACTContinuous Wave Radar (CW Radar) has many applications, especially in the health sector. CW Radar that works in a wide frequency range has advantages such as wide bandwidth, and a high level of accuracy so that it can be used for detection of chest or abdominal wall movement on breathing. However, obstacles in the form of clothing can affect the detection of human breathing with the Radar system. In this work, the effect of clothing on respiratory detection is analyzed. The Radar system is modeled with Vector Network Analyzer (VNA), BladeRF, and MATLAB to convert the frequency domain to the time domain. The experiment was carried out on four types of fabric with a distance of 45 cm from the object to the antenna. It was found that the obstacle has a small attenuation and insignificant delay, and the BladeRF results show that breathing patterns can be detected. So it is concluded that the obstacle does not affect the results of breathing detection using the Radar system.Keywords: CW Radar, respiratory detection, clothing, VNA, BladeRF.
Kompresi Sinyal EKG menggunakan Teknik Parameter Extraction ALIWARGA, CINTHIA; PRAMUDITA, ALOYSIUS ADYA; KARTAWIDJAJA, MARIA ANGELA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 7, No 2: Published May 2019
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v7i2.308

Abstract

ABSTRAKSistem healthcare IoT menyebabkan peningkatan trafik komunikasi dan jumlah penyimpanan data. Elektrokardiogram (EKG) adalah salah satu alat yang berperan penting dalam healthcare IoT. Pasien yang mengalami kelainan jantung perlu dipantau oleh EKG dalam periode waktu lama sehingga menghasilkan data dalam jumlah yang sangat besar. Kompresi data mampu menjadi solusi masalah di atas. Penelitian ini melakukan kompresi sinyal EKG menggunakan metode parameter extraction untuk satu siklus sinyal dari dua belas pasien yang dipilih secara acak. Hasil penelitian menunjukkan bahwa kinerja kompresi baik, ditunjukkan oleh nilai Compression Ratio (CR) 6,24 dan Mean Square Error (MSE) 0,0018.Kata kunci: IoT, EKG, kompresi data, parameter ekstraction. ABSTRACTHealthcare IoT causing higher data communication traffic and storage. Electrocardiogram (ECG) is one of the important device in healthcare IoT. Patient whose have heart abnormality needs ECG monitoring for long period of time, this causing a big data size. Data compression become one of the solutions for this problem. This research focused on data compression using parameter extraction method for one cycle ECG signal from twelve patients.This research has a good result with Compression Ratio (CR) 6,24 and Mean Square Error (MSE) 0,0018.Keywords: IoT, ECG, data compression, parameter extraction
Rancang Bangun Antena Horn Planar Frekuensi 1 – 3 GHz untuk Ground Penetrating Radar JAMBOLA, LUCIA; PRAMUDITA, ALOYSIUS ADYA; ADITYA, MUHAMMAD ILHAM
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 4: Published October 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i4.1102

Abstract

ABSTRAKAntena horn planar merupakan antena yang menggunakan salah satu sisi antena horn berbentuk piramida dan beroperasi pada frekuensi diatas 1000 MHz. Tujuan dari penelitian ini adalah untuk membuat antena horn yang digunakan pada sistem ground penetrating radar (GPR) dan digunakan untuk mendeteksi objek bawah permukaan pada kedalaman rendah dan resolusi tinggi. Pada simulasi terlihat bahwa sinyal output dari keluaran yang dihasilkan sesuai dengan keluaran transmitter. Perancangan antena diawali dengan menggunakan software CST Studio kemudian difabrikasi menggunakan material substrat FR-04 dengan panjang dielektrik 4,3 dan tebal 1,6 mm. Produk rancangan mempunyai nilai VSWR dibawah 2 dan bandwidth 2,4 GHz dengan hasil port signal yang baik, dan untuk hasil fabrikasi memiliki nilai VSWR dibawah 2 dengan bandwidth 2,4GHz dan hasil port signal yang baik sesudah data diolah, untuk pencatuan antena menggunakan microstrip line. Antena yang dirancang sudah memenuhi persyaratan yang diperlukan.Kata kunci: GPR, Antena Horn Planar, VSWR, FR-04 ABSTRACTAn antenna that employs one side of the pyramid-shaped horn antenna and functions at frequencies higher than 1000 MHz is called a planar horn antenna. In order to identify subsurface objects at low depths and high resolution, the goal of this project is to develop a horn antenna for the ground penetrating radar (GPR) system. It is evident from the simulation that the output signal generated by the output is consistent with the output of the transmitter. CST Studio software is used to design the antenna, which is then made from FR-04 substrate material that has a thickness of 1.6 mm and a dielectric length of 4.3. Following data processing, the fabrication results show a VSWR value below 2 with a bandwidth of 2.4GHz and good port signal results for antenna supply utilizing a microstrip line. The design product also has a VSWR value below 2 and a bandwidth of 2.4GHz. The antenna's design satisfies the necessary spesificationsKeywords: GPR, Antena Horn Planar, VSWR, FR-04
Metode Reduksi Clutter Dinamis pada Sistem Radar-Drone untuk Deteksi Tanda Vital Pernafasan PRAMUDITA, ALOYSIUS ADYA; DWINANDA, ALDI RIFALDI; NUGRAHA, BAMBANG SETIA; RYANU, HARFAN HIAN
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 1: Published January 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i1.148

Abstract

ABSTRAKPengembangan radar pendeteksi tanda vital yang dikombinasikan dengan kemampuan deteksi di balik penghalang diarahkan untuk menghasilkan teknologi pencarian korban selamat di bawah reruntuhan. Elaborasi teknologi drone untuk membawa radar dalam menjangkau area yang sulit akan mendukung efektifitas penggunaan teknologi tersebut. Namun fluktuasi ketinggian terbang memungkinkan munculnya clutter dinamis. Clutter dinamis berpengaruh signifikan pada hasil deteksi. Metode untuk mengurangi clutter dinamis diperlukan dan pada paper ini diusulkan metode reduksi clutter dengan penggunaan data fluktuasi ketinggian untuk mengidentifikasi respons doppler tambahan akibat clutter dinamis. Hasil digunakan untuk mengendalikan pemfilteran akhir dari hasil deteksi fasa sinyal radar. Simulasi dan eksperimen laboratoriun dengan radar Frequency Modulated Continuous Wave (FMCW) telah dilakukan dan hasil menunjukkan bahwa metode usulan secara signifikan dapat memperbaiki hasil deteksi.Kata kunci: Radar, Drone, Reruntuhan, Tanda Vital, FMCW. ABSTRACTThe development of a radar for detecting vital signs combined with the ability to detect an object behind obstacles is aimed at producing technology to search for survivors buried under the rubble. Elaboration of drones for conveying a radar to reach difficult areas will support the effective use of this technology. However, fluctuations in flight altitude allow dynamic clutter to emerge. The existence of dynamic clutter has a significant influence on the detection results. A method to reduce dynamic clutter in radar altitude is needed, and this paper proposes a dynamic clutter reduction method that consists of utilizing the altitude fluctuation data itself to identify additional Doppler responses due to dynamic clutter and then used to control the post-filtering of the phase detection results. Laboratory simulations and experiments with FMCW radar have been carried out, showing that the proposed method can significantly improve the detection results.Keywords: Radar, Drone, Rubble, Vital Sign, FMCW.
Optimization of Banyuwangi Festival Management through ERP-Tourism Using Dashboard Pramuditya Soesanto , Rayinda; Ibnu Zulkarnain; Adya Pramudita, Aloysius; Andrawina, Luciana
Metris: Jurnal Sains dan Teknologi Vol. 25 No. 02 (2024): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v25i02.5424

Abstract

Tourism is an economic sector that has an important role in regional economic growth, including in Banyuwangi Regency. Banyuwangi Festival, as one of the main attractions, faces various challenges in its management, ranging from event coordination to performance monitoring. This research aims to optimize the management of Banyuwangi Festival through the implementation of Enterprise Resource Planning (ERP)-Tourism supported by the use of interactive dashboards. This research utilizes the Rapid Application Development (RAD) method, which involves various stakeholders in the system development process. The research findings show that the implementation of ERP-Tourism and interactive dashboards is able to improve the efficiency, effectiveness, and quality of festival management. The theoretical implications of this research include the development of literature related to the use of ERP technology in the tourism sector and its contribution to event management. Practically, the results of this study can be used as a guide for festival managers in improving the quality and efficiency of their events. Recommendations for future research include expanding the application of the ERP-Tourism system to other tourism events in Banyuwangi and other regions, as well as further developing dashboard features to meet the specific needs of different types of events. Thus, it is expected that this system can provide wider and sustainable benefits to the tourism sector and regional economy
Co-Authors Abigail , Rizky ibrahim Achmad Cahyo Saputro ADITYA, MUHAMMAD ILHAM Aldi Rivaldi Dwinanda Ali, Erfansyah ALIWARGA, CINTHIA Ambarini, Rizky Andarining Palupi Andini Dwi Pratiwi Antonius Setiawan Aulia, Danny Bambang Setia Nugroho Batubara, Raihan Naufalsyah Mumtaz Budi Prasetya Devy Roro Dinar Adellie Dharu Arseno DHIYANI, AZIZKA AYU Dwiandharu, Muhammad Andika Naufan DWINANDA, ALDI RIFALDI Dwiyanto Dwiyanto, Dwiyanto Edwar EDWAR EDWAR Faradila Purnama, Arrizky Ayu Faris Nur Fauzi Athallah Fikana, Zahara Nur Fiky Y. Suratman Fildha Ridhia Hafizha, Syahna Hamdani, Nizar Alam Harfan Hian Ryanu Helfy Susilawati Hendrawan HIDAYAT, MUJIB RAMADAN Hurianti Vidyaningtyas Ibnu Zulkarnain ISKANDAR Latukolan, Merlyn Inova Christie Levy Olivia Nur LUCIA JAMBOLA Luciana Andrawina Lukas Lukas MAARIF, AHMAD FATHAN Maria Angela Kartawidjaja MARPAUNG, YONATAN EDWIN Maulani, Azka Miftadi Sudjai Muhammad Naufal Darma Putra Nasrullah Armi NUGRAHA, BAMBANG SETIA Palupi, Andarining PRATIWI, HANA Putri Milhatun Ni’mah Queen Hesti Ramadhamy Radial Anwar, Radial Rahmita Rufaidah Rayinda Pramuditya Soesanto Restu Wulansari Rina Pudji Astuti Rizky Ambarini S. Sugiharto Sahara, Ghehena Latipah Adha Sania Uswah Nafisah Satyawan, Arief Suryadi Setiawan, Antonius Setiawan, Antonius Darma Setiawan, Antonius Darma Shabrina Zahira Sindoro, Clara Gabriel Utami Ananda Ridwan Vinsensius Sigit Widhi Prabowo Wisnutama, William Wafi Yuyu Wahyu Yuyu Wahyu Zaam, Kartika Praty Dena Zaam, Kartika Praty Dina