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All Journal E-Jurnal Medika Udayana Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Jurnal Biologi Tropis RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Lectura : Jurnal Pendidikan Jurnal Pengabdian Magister Pendidikan IPA Indonesian Treasury Review: Jurnal Perbendaharaan, Keuangan Negara dan Kebijakan Publik JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JURNAL KESEHATAN DELIMA PELAMONIA Jusikom: Jurnal Sistem Informasi Ilmu Komputer bit-Tech ILKOMNIKA: Journal of Computer Science and Applied Informatics JATI (Jurnal Mahasiswa Teknik Informatika) Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Indonesian Journal of Electrical Engineering and Computer Science JIIP (Jurnal Ilmiah Ilmu Pendidikan) Science Midwifery Jifosi Heart Science Journal Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Cardiovascular and Cardiometabolic Journal (CCJ) MESA (Teknik Mesin, Teknik Elektro, Teknik Sipil, Teknik Arsitektur) Jurnal Teknik Informatika (JUTIF) Jurnal Aksioma Al-Musaqoh Jurnal Kesehatan Tambusai Jurnal Ilmiah Wahana Pendidikan ELIPS: Jurnal Pendidikan Matematika PENJAGA : Pendidikan Jasmani dan Olahraga Caring : Jurnal Pengabdian Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) Al Khidma: Jurnal Pengabdian Masyarakat Mamba'ul 'Ulum INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Prosiding Konferensi Nasional PKM-CSR Jurnal Kesehatan Delima Pelamonia Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya JUSIFOR : Jurnal Sistem Informasi dan Informatika Cerdika: Jurnal Ilmiah Indonesia eProceedings of Engineering Kohesi: Jurnal Sains dan Teknologi Journal of Technology and System Information Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Implementasi Pengabdian Masyarakat Kesehatan
Basuki Rahmat Masdi Siduppa
Institut Ilmu Kesehatan Pelamonia Kesdam XIV Hasanuddin
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Perancangan Mekanisme Suction Pada Robot Pembersih Kaca Gedung Bertingkat Ardo, Sebastian Edric; Sumaryo, Sony; Rahmat, Basuki
eProceedings of Engineering Vol. 12 No. 5 (2025): Oktober 2025
Publisher : eProceedings of Engineering

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Abstract

Abstrak — Pembersihan kaca pada gedung bertingkat menghadirkan tantangan keselamatan dan efisiensi yang signifikan. Untuk menjawab permasalahan tersebut, penelitian ini merancang prototipe robot pembersih kaca dengan mekanisme adhesi berbasis thrust-suction menggunakan motor Electric Ducted Fan (EDF). Sistem ini memanfaatkan kombinasi gaya dorong dan tekanan negatif untuk mempertahankan posisi robot pada permukaan vertikal. Pengaturan daya adhesi dilakukan secara real-time menggunakan kontroler PID berbasis ESP32-WROOM-32 dan sensor arus PZEM-017 sebagai feedback utama. Mobilitas robot didukung oleh sistem roda rantai yang memungkinkan pergerakan pada permukaan kaca vertikal. Hasil pengujian menunjukkan bahwa sistem mampu mencapai kestabilan adhesi yang berhasil menopang beban vertikal maksimum seberat 2700 gram. Sistem kontrol PID menunjukkan rise time rata-rata dibawah 4 detik namun menghasilkan overshoot yang signifikan hingga 17.34% pada setpoint arus tinggi (45 A), mengindikasikan adanya karakteristik non-linear. Secara efisiensi, sistem dengan kontrol PID terbukti beroperasi 5.7°C lebih dingin dibandingkan kontrol manual saat menahan beban maksimum, menunjukkan adanya peningkatan efisiensi termal sebesar 14.6%. Kata kunci— robot pembersih kaca, thrust-suction, motor edf, kontrol pid, gedung bertingkat
Sistem Navigasi Otonom Robot Pembersih Kaca untuk Gedung Bertingkat Karim, Mohammad Wafi Nabil; Sumaryo, Sony; Rahmat, Basuki
eProceedings of Engineering Vol. 12 No. 5 (2025): Oktober 2025
Publisher : eProceedings of Engineering

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Abstract

Abstrak — Pembersihan jendela pada gedung bertingkatmerupakan pekerjaan berisiko tinggi yang menuntut efisiensidan keamanan. Untuk mengatasi tantangan tersebut, penelitianini bertujuan mengembangkan sistem navigasi otonom yangandal untuk robot pembersih jendela. Fokus utama penelitianadalah merancang sistem yang mampu bergerak secaramandiri di permukaan kaca vertikal yang datar, denganbatasan operasional pada kondisi cuaca yang mendukung untukmenjamin kinerja optimal. Metodologi penelitian ini diterapkansecara sistematis, diawali dengan studi literatur mendalamuntuk mengkaji teknologi navigasi dan fusi sensor yang relevan.Tahap selanjutnya adalah perancangan arsitektur sistem, yangmencakup pengembangan mekanisme navigasi presisi sertasistem kontrol gerak. Rancangan tersebut kemudian divalidasimelalui simulasi sebelum diimplementasikan pada perangkatkeras. Kunci dari implementasi ini adalah integrasi strategisantara Complementary Filter dan Kalman Filter. Kombinasikedua filter ini sangat krusial untuk mengolah data sensorsecara akurat, memastikan robot dapat menjaga stabilitasorientasi dan keakuratan posisi selama menjalankan tugaspembersihan. Tahap akhir penelitian meliputi analisis hasiluntuk mengevaluasi performa dan keandalan sistem navigasiyang telah dikembangkan.Kata kunci— Robot Pembersih Jendela, NavigasiOtonom, IMU, Ultrasonik, Kontrol Filter.
Patterned Dataset Model Optimization to Predict Bitcoin IDR Price using Long Short Term Memory Parlika, Rizky; Isnanto, R Rizal; Rahmat, Basuki
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.4036

Abstract

The goal of this study was to determine the optimal combination for optimizing the Patterned Dataset Model, particularly in patterned datasets during periods of price decline (crash).  In previous research, the Crash Patterned Dataset has been shown to predict the next Bitcoin price. In this study, an experiment was conducted using a combination of prediction models, including ARIMA, machine learning, and deep learning. This research was conducted in 3 stages. The first stage is to compare the error results from the Bitcoin pair IDR crypto asset prediction process, which are part of the stored data from the patterned dataset under crash conditions. This dataset was tested with several prediction models, and the LSTM model with 60 seconds of resampling produced the best results, with an MAPE of 0.19%. In the second stage, BTCIDR, as part of the data from the patterned dataset in crash conditions, was resampled with variants 1D, 2D, 3D, 4D, 5D, 6D, 7D, 1H, 2H, 3H, 4H, 5H, 6H, 7H, 8H, 9H, 10H, 11H, and 12H. The result is that BTCIDR with a 3H resample has the lowest MAPE, at 1.3%. In the third stage, the prediction process is carried out using the LSTM model on the BTC IDR test dataset (as part of the Patterned Dataset in crash conditions) with a 3H resample. The dataset range is from May 2022 to 2025-01-23 11:05:48. This test predicts the Bitcoin IDR price series for the next 30 days, calculates the MAPE between the predicted series and the actual BTC IDR dataset 30 days later, and evaluates the results. The MAPE value for the Bitcoin IDR price prediction was 9.27%. This indicates that the average prediction error against the actual price is around 9.27%. The main objective of this research is to more accurately predict the price of the Bitcoin-IDR pair, providing additional helpful information for trading cryptocurrencies.
Design and Development of a Web-Based Application for Managing Incoming and Outgoing Letters Using Agile Methodology Masyhuri, Alif Syahda Adji; Rahmat, Basuki; Sari, Anggraini Puspita
ILKOMNIKA Vol 7 No 2 (2025): Volume 7, Number 2, August 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v7i2.739

Abstract

The management of incoming and outgoing correspondence in government institutions such as the Palesanggar Village Office is still carried out manually, leading to various problems such as delayed recording, difficulty in retrieving archived letters, and potential data loss. This study aims to develop a web-based Incoming and Outgoing Mail Information System to improve administrative efficiency and facilitate the archiving and reporting processes. Data were collected through direct observation, interviews with village officials, and literature review. The system development method used in this research is the Agile model, which consists of requirement analysis, system design, implementation, and testing phases. The result of this study is a web-based information system capable of recording, storing, and displaying data on incoming and outgoing letters in a structured manner and accessible to village staff. System testing shows that the application functions properly and is well received by users. The conclusion of this research is that the developed information system successfully addresses the issues of manual mail management and provides convenience and speed in archiving letter data at the Palesanggar Village Office.
Analisis Performansi Forecasting Harga Saham Amazon Dengan ARIMA, ANN, dan LSTM Syahputra, Chandra Wibawa; Rahmat, Basuki; Al Haromainy, M. Muharrom
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol. 11 No. 2 (2025): Journal CERITA : Creative Education of Research in Information Technology and
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v11i2.3814

Abstract

Stocks are financial instruments traded for profit but come with high risks. Many investors struggle to understand price movements and predict market trends. Various methods, such as ARIMA, ANN, and LSTM, have been developed to forecast stock prices using historical data. This study compares these methods in predicting Amazon's stock prices. The results show that LSTM outperforms the others with a learning rate of 0.001, achieving a MAPE of 1.34% and an RMSE of 3.0501. These findings confirm that LSTM provides higher accuracy for stock market analysis.
ANALISIS KEMAMPUAN SISWA DALAM MENEMUKAN NILAI MORAL PADA CERITA RAKYAT JAWA GUNUNG TUGEL MATA PELAJARAN BAHASA JAWA KELAS IV MI TERPADU AL MABRUR TAWANGSARI SUKOHARJO TAHUN 2024/2025 Rahmat, Basuki; Nurhidayati, Indah; Praptiningsih, P
MAMBA'UL 'ULUM Vol. 21, No. 2 Oktober 2025
Publisher : Institut Islam Mamba'ul 'Ulum Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54090/mu.935

Abstract

Difficulty in comprehending Javanese, which has a rich vocabulary and many expressions, makes it challenging for students to find the moral values contained within the text. Therefore, the objective of this research is to determine the students' ability to find moral values and to identify the factors influencing their ability to do so in the Javanese folk tale, "Gunung Tugel," for 4th Grade Javanese Language subject. This study uses a descriptive qualitative approach. Data collection techniques involved observation, interviews, and documentation. Data validity was checked using a credibility test with triangulation, utilizing other sources outside the data for cross-checking purposes. The data analysis technique employed the Miles and Huberman model, consisting of Data Reduction, Data Display, and Verification. The results indicate that the students' ability to find moral values in the "Gunung Tugel" story is low. This is reflected in their inability to identify the inherent moral values. Students tend to view the story merely as entertainment without delving into the underlying meaning. This limitation suggests that the development of students' intellectual capacity in evaluating and reflecting on moral values from narrative texts is not yet optimal. Influencing factors include: minimal student interest and motivation towards folk tales, the perception that folk tales are only entertainment, the "Gunung Tugel" story being considered less interesting by some students, and constraints in understanding the language of the story, which becomes the main obstacle in finding the moral values.
The Correlation Between Active Smoking Behaviour and SYNTAX Score on Male Patients with Coronary Artery Disease Maringka, Kezia Michella Yusak; Ermawan, Romi; Sari, Dian Puspita; Rahmat, Basuki
Cardiovascular and Cardiometabolic Journal (CCJ) Vol. 7 No. 1 (2026): Cardiovascular and Cardiometabolic Journal - In Press
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ccj.v7i1.2026.1-11

Abstract

Background: This study aimed to determine the relationship between smoking behavior and SYNTAX score in male patients with coronary artery disease (CAD) at the Regional General Hospital of NTB Province. Material and Methods: This observational analytic study used a cross-sectional approach, conducted from August to November 2023 in the cath lab of NTB Provincial General Hospital. A total of 94 male CAD patients diagnosed through coronary angiography were enrolled, divided into smokers and non-smokers. Medical records were reviewed, and SYNTAX scores were calculated using angiography data under the supervision of a consultant cardiologist. The study used consecutive sampling to select eligible patients based on the inclusion and exclusion criteria. Data were analyzed using independent t-tests and ANCOVA. Results: Among the 94 patients in this study, 48.9% had a history of hypertension, 25.5% had DM, and 31.9% had dyslipidemia. The mean age was 57.9 years with a standard deviation of 9.7. The body mass index (BMI) ranged from 18.4 to 34.8, with 39.4% in the normal BMI category. Regarding therapy history, 2.1% had received statin and antiplatelet therapy before angiography. SYNTAX score distribution showed that 57.4% had a low SYNTAX score, 23% had an intermediate score, and 17% had a high score, with a mean of 20.7 ± 11.9. After adjusting for confounding variables, a significant association was found between smoking behavior and SYNTAX score (p = 0.046; mean difference = 4.8). Conclusion: There is a significant difference in SYNTAX score between male CAD patients with smoking behavior and without smoking behavior. Smoking behavior is significantly associated with higher SYNTAX scores. Smoking cessation interventions may help reduce the complexity of CAD. Further research is needed to evaluate the impact of smoking cessation on SYNTAX scores in this population. -- Highlights: 1. This study demonstrates that smoking is linked to more severe and complex coronary artery disease, as reflected by higher angiographic severity scores in male patients. 2. Even after accounting for major cardiovascular risk factors, smoking remains an independent contributor to disease burden, reinforcing its critical role in worsening coronary pathology.
ANALISIS SENTIMEN PADA MEDIA SOSIAL X TERHADAP IMPLEMENTASI KURIKULUM MERDEKA MENGGUNAKAN METODE FASTTEXT DAN LONG SHORT-TERM MEMORY (LSTM) Pangestu, Arif Fajar; Rahmat, Basuki; Sihananto, Andreas Nugroho
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5665

Abstract

Perubahan kurikulum adalah keharusan untuk mengikuti perkembangan zaman dan memastikan standar pendidikan terpenuhi. Namun, perubahan ini sering kali menyebabkan kebingungan di kalangan pendidik dan orang tua, yang mengganggu proses pendidikan. Kurikulum Merdeka, yang diperkenalkan sebagai inovasi penting dalam pendidikan Indonesia, menawarkan kerangka kerja yang lebih baik dan sesuai dengan kebutuhan. Meskipun demikian, dengan meningkatnya jumlah peserta didik, tantangan yang dihadapi oleh sistem pendidikan Indonesia juga bertambah. Penelitian ini bertujuan untuk menganalisis opini yang muncul di media sosial X tentang implementasi Kurikulum Merdeka, menggunakan metode word embedding FastText dan model klasifikasi Long Short-Term Memory. Dua dataset uji coba digunakan dalam penelitian ini, yang pertama berisi 7.500 entri dan yang kedua 3.000 entri. Penelitian ini juga menguji delapan skenario yang berbeda, dengan kombinasi metode ekstraksi fitur Continuous Bag of Words dan Skip-Gram, serta variasi pemisahan data 80:20 dan 85:15. Hasilnya menunjukkan tingkat akurasi yang tinggi di semua skenario, di atas 85%. Temuan ini mengungkap dominasi sentimen negatif dalam setiap kategori yang diamati selama implementasi Kurikulum Merdeka, menunjukkan adanya beberapa tantangan atau hambatan dalam penerimaan dan penerapan kurikulum tersebut di berbagai lingkungan pendidikan
RANCANG BANGUN SISTEM SMART TRAFFIC LIGHT BERBASIS IOT UNTUK MEMPRIORITASKAN KENDARAAN DARURAT MENGGUNAKAN FUZZY TYPE-2 Ramadhaniar, Alfi; Rahmat, Basuki; Wahanani, Henni Endah
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.7790

Abstract

Kemacetan lalu lintas di area perkotaan menjadi salah satu hambat-an utama bagi kendaraan darurat yang membutuhkan akses cepat untuk menyelamatkan nyawa atau menuju tempat terjadinya in-siden. Penelitian ini bertujuan merancang dan mengimplementasi-kan prototipe sistem smart traffic light berbasis Internet of Things (IoT) yang dapat memprioritaskan kendaraan darurat dengan mendeteksi suara sirine menggunakan sensor suara KY-037. Sistem ini dikendalikan oleh mikrokontroler Arduino Uno R3 ditambah dengan WiFi ESP8266 dan menggunakan metode Fuzzy Logic Type-2 untuk menangani ketidakpastian tingkat intensitas suara yang diterima sensor, serta menentukan durasi lampu hijau pada arah kendaraan darurat menggunakan delaytime. Selain itu, sistem dilengkapi dengan fitur kontrol manual berbasis aplikasi Blynk IoT untuk memungkinkan intervensi lampu lalu lintas secara langsung dalam situasi tertentu. Hasil pengujian menunjukkan bahwa sistem prototipe mampu mengidentifikasi suara sirine kendaraan darurat dan merespon dengan mengubah sinyal lampu lalu lintas menjadi hijau untuk memprioritaskan laju kendaraan darurat, serta kembali ke mode normal setelah kendaraan melintas. Sistem ini diharapkan dapat meningkatkan efisiensi layanan darurat dan mengurangi dam-pak dari kendaraan darurat yang terjebak kemacetan pada jalur per-simpangan.
Stabilisasi Pendulum Terbalik Menggunakan Linear Quadratic Gaussian dan Visualisasinya Iskandar , Refin Malikul; Susanto, Erwin; Rahmat, Basuki
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 2: April 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.132

Abstract

Pendulum terbalik tipe cart-pole merupakan representasi matematis dari salah satu sistem yang tidak stabil. Secara umum, konstruksi fisik pendulum terbalik tersusun atas gerobak atau cart dan batang pendulum. Tanpa mekanisme kendali, pendulum akan terus jatuh akibat gaya gravitasi karena sistem sangat tidak stabil. Pada studi ini digunakan metode  kendali Linear Quadratic Gaussian (LQG) untuk memaksa batang pendulum tegak vertikal sekitar sudut 0° sesuai posisi referensi yang diinginkan dengan menggerakkan cart. Pengujian dan simulasi menggunakan fitur MATLAB simulink, untuk model pendulum terbalik yang dikendalikan dengan LQG menghasilkan performansi dinamika sistem.  Hasil pengujian menunjukkan posisi cart paling stabil -3 m dari posisi awal, rise time 2,31 detik, settling time 2,44 detik dan sudut simpangan maksimum batang pendulum 1,9 ° disekitar posisi tegak vertikal. Untuk memverifikasi keberhasilan metode yang digunakan, visualisasi sistem kendali disajikan dengan Simmechanics dan Blender graph editor.   Abstract The cart-pole inverted pendulum is a mathematical representation of an unstable system. In general, the physical construction of an inverted pendulum consists of a cart and a pendulum rod. Without a control mechanism, the pendulum will continue to fall due to gravitational force because the system is highly unstable. In this study, the Linear Quadratic Gaussian (LQG) control method was used to force the pendulum rod to be vertical at an angle of approximately 0° according to the desired reference position by moving the cart. Testing and simulation using the MATLAB Simulink feature for the inverted pendulum model controlled by LQG produced the system's dynamic performance. The test results showed that the most stable cart position was -3 m from the initial position, with a rise time of 2.31 seconds, a settling time of 2.44 seconds, and a maximum pendulum rod deviation angle of 1.9° around the vertical position. To verify the success of the method used, the control system visualization was presented with Simmechanics and Blender graph editor.
Co-Authors Abdurrahman, Nizar Abdurraman, Abdurraman Achmad Ali Muayyadi Achmad Junaidi Adi Laksono, Surya Adidaifa, Muhammad Fikri Adila, Ma’ratul Afandi, Azhar Affandi, Ananda Asa Firstha Agung Satrio Nugroho Agus Supriyanto Agussalim, Agussalim Agussalim, Agussalim Ahmad Sugiana ajibekti, ari Akbar, Iqbal Imani Khoirul Akbar, Nugraha Malik Akbar, Refansya Rachmad Al Haromainy, M. Muharrom Aminuyati Anak Agung Ayu Niti Wedayani Andreas Nugroho Sihananto Angga Rusdinar Anggraini Puspita Sari Aprilia, Salma Ardi Pramono Ardo, Sebastian Edric Arifin, Moehammad Riyadh Arifuddin, Asyima Aristya Nur, Dey Salwa Arrosyid, Muhammad Habib Arsatt, Maz Isa Ansyori Arum Prabowo, Galih Asmara, Hadhimulya Aspar, Hukmiyah Atsani, Nadhifah Azizah, Ratih Nuur Azmi, Naurah Arika Bagus Kantwa Abhimantra, Gede Budi Nugroho Chandrasa Soekardi Desri Kristina Silalahi Dewi, NI Putu Wahyu Eastiya Dian Puspita Sari Diyasa, I Gede Susrama Mas Dyah Purwaningrum Elvira Sari Dewi Enoko, Ebby Dimiyan Erdian, Mochamad Aldyn Erlangga, Heri Erwin Susanto Eva Yulia Puspaningrum Fachrezi, Ahriyad Fahanani, Agwin Fahmi Farahdiba, Idha Fariztia, Alifia Intan Fathoni, Jazimah Nur Fauzan Novriandy, Muhammad Fauzen, M. Nur Ridwan Febriano, Luis Figo Fetty Tri Anggraeny Geofany, Shania Ardelia Hardiant, Excell Defry Hargianti Dini Iswandari Harliza, Baiq Fanindya Harsono Harsono Hartanto, Beni Hary, Valentino Haryanto, Wawan Hasan Hasan Hasanah, Hesti Dwi Puteri Henni Endah Wahanani Herawati, Yoshi Inne Humam, Anang Muh. Nufal Ida Ayu Eka Widiastuti Idhana, Ilham Ainur idhom, Mohammad Indah Nurhidayati, Indah Indah Sulistyowati, Indah Indrayana, Yanna Indriyanti, Anggi Iqlima, Aisya Yafis Irsyad, Ananda Muhammad IRSYADI, FAKIH Irwan, Hadrian Irwan, Hadriani Iskandar , Refin Malikul Islamy, Habiel Jales Saputra, Dewangga Jangkung Raharjo Karim, Mohammad Wafi Nabil karmila karmila Karmila Karmila Kartini Kartini Kharisma Bani Adam Khilda Afifah Kristianingrum, Niko Dima Kumara, Ghanendra Amru Kumboyono Kumboyono linda mayasari, linda Lizard Sambawo Dimara, Denis Lukman, Dian Azizah M Darfyma Putra Makbul Muksar Maringka, Kezia Michella Yusak Masyhuri, Alif Syahda Adji Matalangi, Matalangi Maulana Herza, Fakhri Maulana, Asrul Maulana, Hendra Maulana, Muhammad Rafi Mochamad Saiful Anwar Moh. Sidik Priadana Mohamad Ramdhani Mohede, Nadif Rayhan Julio Mudzakir, Mohammad Alfian Muhammad Muharrom Al Haromainy Muhammad Ridho Rosa Muhammad Risal, Muhammad Muhammad Zakiyullah Romdlony Mulyono Mulyono Munawwarah. M, St. Mustafid Mustafid Muyasaroh Nadhifah, Umi Ngkolu, Nurmulia Wunaini Nisrina, Safira Fegi Nohantiya, Peni Nurchalifah, Jessenia Eldora Pangestu, Arif Fajar Paradiesta, Andi Frieskha Naurah Parlika, Rizky Pintaningrum, Yusra Praptiningsih, P Prasetyo, Edi Dwi Putra, AASM Meiswaryasti Putra, Handie Pramana R Rizal Isnanto R. Rizal Isnanto Rah Adi Fahmi Ginanjar Rahman, Daffa Sahrul Rahman, Moch. Aulia Ramadhan, Dimasfika Rizqi Ramadhaniar, Alfi Rasjid, Azka Avicenna Ratantja Kusumajati, Fatwa Rendy Munadi Retno Mumpuni Rijali, Muhammad Rinayati Rinayati Romi Ermawan, Romi S Sudirman, S Sajiwo, Achmad Fauzihan Bagus Salsabila, Baiq Ghefira Rojwani Putri Salsabila, Tsania Zulfa Salsabilah, Maida Sania Samad, Mohammad Ardani Samsul Hadi Sardjasasmita, Agi Sari, Cempaka Kumala Sari, Putu Suwita Sari Sari, Wahyuni Kartika Savitri, Puti Amelia Setyaningsih, Diva Ayu Simangunsong, Abednego Sinaga, Keysha Angelica Soedjarwo, Soedjarwo Sony Sumaryo Sri Sugiarti R, Eva Sri Wahyuning Sugeng Santoso Sugiyarto Sugiyarto Sulthan Ahmad Suryani, Elsa Indah Susrama Mas Diyasa, I Gede Swastirani, Astika Syadilla, Iryne Putri Syahputra, Chandra Wibawa Syarif, Darmiati Syihabuddin, Muhammad Tamba, Irpan Antonius T Taufiq, Riyadh Tsuru, Masato Ubai Dillah Umi Narimawati Untari, Lania Pradiva Viet Ha, Nguyen Wahyu Sulistya Affarah, Wahyu Sulistya Wahyuningsih, Pujianti Wardoyo, E. Hagni Widi Saputro, Tegar Wilson Silitonga, David Wulandari, Ikrawanty Ayu Yoga Pamungkas Susani