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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JTEV (Jurnal Teknik Elektro dan Vokasional Jupiter SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Teknologi Informasi dan Ilmu Komputer Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science (JOINTECS) JURNAL MEDIA INFORMATIKA BUDIDARMA INOVTEK Polbeng - Seri Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Sains dan Informatika : Research of Science and Informatic J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMPUTIKA - Jurnal Sistem Komputer JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming METIK JURNAL JSAI (Journal Scientific and Applied Informatics) Building of Informatics, Technology and Science Jurnal Mantik Journal of Applied Engineering and Technological Science (JAETS) JURSIMA (Jurnal Sistem Informasi dan Manajemen) JISA (Jurnal Informatika dan Sains) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) International Journal of Advances in Data and Information Systems Idealis : Indonesia Journal Information System Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Kolaborasi Jurnal Pengabdian Masyarakat Jurnal Teknoif Teknik Informatika Institut Teknologi Padang IJCOSIN : Indonesian Journal of Community Service and Innovation Jurnal Masyarakat Madani Indonesia eProceedings of Engineering Jurnal Pengabdian Masyarakat Bangsa JURSIMA SATIN - Sains dan Teknologi Informasi Jurnal Abdimas Indonesia Jurnal Informatika: Jurnal Pengembangan IT Jurnal Sistem Informasi dan Manajemen Jurnal Pengabdian Sosial Kenduri: Jurnal Pengabdian Dan Pemberdayaan Masyarakat RESLAJ: Religion Education Social Laa Roiba Journal Jurnal Pendidikan Teknologi Informasi (JUKANTI) Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Jnanadharma
Dasril Aldo
Telkom University
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Multi Attribute Utility Theory (MAUT) Method of Decision on The Selection of the Head of Study Program Digital Business Aldo, Dasril; Army, Widya Lelisa; Syafrinal, Ilwan
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1389

Abstract

The head of the study program is the spearhead of success in a study program. So a head of a study program is required to have good leadership and management skills in order to be able to carry out his duties and functions correctly. The problem that arises is that the appointment of a head of a study program is often carried out not looking at some aspects or criteria, usually the appointment is subjective and based on how long he has been a lecturer in the study program. Even though the appointment of a study program head must be seen from many aspects and criteria, this is done because if you appoint a study program head who is not competent, it can result in not running well with the study program he leads. The criteria used in this research are Functional Position, Education, Working Period, Research, PKM Activities, Supporting Activities and Lecturer Achievement. To overcome this problem, a decision support system with the MAUT method is the right solution to use. The advantage of the MAUT method is that the calculation and decision-making process is faster because it can directly calculate the final evaluation value without the need to compare the importance weight values between criteria. This method will process the criteria values of each candidate so that the results will be more objective. In this study, the number of alternatives used was 6 data on the value of the prospective head of the study program. Based on the MAUT process, a decision was obtained that the chosen head of the digital business study program was a Candidate-01 lecturer with a value of 1.0. 
Intelligent Decision Support System Based on Deep Learning with the Whale Optimization Algorithm for Oral Cancer Aldo, Dasril; Paramadini, Adanti Wido
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1521

Abstract

To build an accurate and reliable clinical decision support system, this study seeks to create a classification system using deep learning as a better approach in the analysis of oral cancer histopathological images. The dataset used consisted of 10,002 images, of which the two more balanced classes were normal oral and oral squamous cell carcinoma. Some pre-trained deep learning architectures are taken as baseline models and then optimized using the Whale Optimization Algorithm to obtain the best hyperparameter configuration. Performance evaluation was carried out on test data using accuracy, precision, recall, F1-score, confusion matrix, and operational efficiency metrics as well as evaluation of a trust-based decision support system with the same mechanism as the reject option system. The models are better optimized and all models show improved performance. From the results of the experiments, the model that was best optimized with an F1-score and an accuracy of 98.73%, and also showed the best performance, was the EfficientNet B3 model. This is accompanied by a stable training process and adequate generalization. Therefore, the model shows results with adequate performance in the coverage range of 0.60 - 0.90 and still provides a reasonable inference time for use in the clinic. These results show that this model has high potential to be integrated with clinical decision support systems. Therefore, this model can be used as a diagnostic tool in clinics that is more accurate and ensures consistency in each clinical practice and can also build a better diagnostic decision support system.
Implementasi Program BUNDACERDAS sebagai Multimedia Interaktif Edukasi Gizi Ibu Hamil dalam Upaya Pencegahan Stunting Dasril Aldo; Yohani Setiya Rafika Nur; Adanti Wido Paramadini; Muhammad Zaky Mubarok; Harald Riandi Rantetana Purukan; Muhammad Nazmi Al Faiz
KENDURI : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 6 No. 1 (2026): January-April
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/kenduri.v6i1.2026

Abstract

The main problem faced by partner communities in Muntang Village is the low knowledge of pregnant women related to nutritional fulfillment during pregnancy and the strong influence of myths that are not based on science, which has the potential to increase the risk of stunting. This service activity aims to increase the knowledge and awareness of pregnant women, PKK mothers, and posyandu cadres through the use of interactive multimedia nutrition education. The solution offered is the development and implementation of the BUNDACERDAS application as a digital-based educational media that contains material about the First 1000 Days of Life, the nutritional needs of pregnant women, stunting prevention, and interactive quiz features. The method used is a participatory approach through the stages of observation, socialization, training, implementation, and evaluation. The results of the activity showed an increase in participants' knowledge by an average of 31 percent based on a comparison of pre-test and post-test in 50 participants. In addition, the participants' satisfaction level achieved an average score of 4.6 out of a scale of 5 which was included in the very satisfied category. Thus, this activity has proven to be effective in increasing community nutrition literacy and has the potential to be developed sustainably as a technology-based health education media.
PEMILIHAN BIBIT LELE UNGGUL DENGAN MENGGUNAKAN METODE WEIGHTED PRODUCT Dasril Aldo
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 2 No. 1 (2019): Jurnal Teknologi dan Open Source, June 2019
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v2i1.138

Abstract

One method of computing that is quite developed today is the method of decision support systems. A decision support system is required in order to have the ability to process a fast, targeted, and accountable in generating a decision. In the breeding and cultivation of catfish there are types of catfish seedlings are superior and not superior seeds, where the fish seeds should be selected and separated between superior and not superior. In the process of selecting superior catfish seedlings, the right selection mechanism is needed in order to produce the appropriate decisions as expected. The result of this research is the development of decision support system that can help the cultivation of catfish produce decision about the type of superior fish seedlings quickly and precisely.
Decision Support System for Gastrointestinal Cancer Detection Using Deep Learning Aldo, Dasril; Paramadini, Adanti Wido
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 3 (2026): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.115717

Abstract

Gastrointestinal diseases are health problems that require the help of medical image analysis to improve accuracy and consistency in clinical decision-making. The main challenges with multilabel classification are visual complexity and morphological similarity. The aim of this study was to develop and evaluate an in-depth learning approach to build the first gastrointestinal tract image-based Clinical Decision Support System (CDSS). This dataset is publicly available and consists of 14 classes of gastrointestinal conditions with a total of 8,750 images, including 7,000 training images and 1,750 test images with a balanced distribution of classes. Four pre-trained convolutional neural network architectures were compared, namely MobileNetV2, MobileNetV3-Small, EfficientNet-B0, and ResNet50. The evaluation metrics used were accuracy, precision, recall, F1-score, confusion matrix, and case study inference. The experimental results showed that ResNet50 outperformed the others with 88.97% accuracy, 89.13% accuracy, 88.97% recall, and 88.94% F1-score, with multiple class analyses. Single-case inference testing on six randomly selected test images obtained a confidence value between 90-99%. The selected model is integrated into the mobile CDSS app to provide a level of confidence along with the predicted outcome. This method will likely allow for fundamental image-based evaluation to be more consistent and accountable in supporting clinical decision-making.
Peningkatan Literasi Digital Ibu PKK melalui Pelatihan Konten Kreatif Berbasis TikTok Dasril Aldo; Affriza Brilyan Relo Pambudi Agus Putra; Javana Ufaira Dzaki; ⁠David Faizul Anwar; ⁠Niki Sinta Anggun Setyowati; Maylaffayza Fikri Firdausy; Naek Liberty Manik; Karina Suwandi; Eka Arum Setyowati
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 2 (2026): Mei
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/t8scjy26

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi digital ibu-ibu Pemberdayaan Kesejahteraan Keluarga (PKK) melalui pelatihan pembuatan konten kreatif berbasis TikTok di Desa Muntang. Latar belakang kegiatan ini didasarkan pada masih rendahnya kemampuan mitra dalam memanfaatkan media sosial secara produktif, meskipun sebagian besar peserta telah menggunakan telepon pintar dalam aktivitas sehari-hari. Permasalahan utama yang dihadapi mitra adalah keterbatasan pengetahuan dan keterampilan dalam membuat, mengedit, dan mempublikasikan konten digital yang bernilai edukatif maupun ekonomis. Untuk mengatasi permasalahan tersebut, kegiatan dilaksanakan menggunakan pendekatan community-based approach melalui metode workshop dan pendampingan langsung (learning by doing). Tahapan kegiatan meliputi persiapan, sosialisasi, pelatihan teknis, pendampingan praktik, dan evaluasi. Hasil kegiatan menunjukkan adanya peningkatan signifikan pada pemahaman peserta, dengan rata-rata nilai pre-test sebesar 36,4% meningkat menjadi 82,6% pada post-test. Selain itu, tingkat kepuasan peserta mencapai 90,4% dengan kategori sangat baik. Kegiatan ini juga mendorong perubahan sikap peserta dari pengguna pasif menjadi kreator aktif. Dengan demikian, pelatihan konten kreatif berbasis TikTok terbukti efektif dalam meningkatkan literasi digital ibu PKK dan berpotensi mendukung pemberdayaan masyarakat secara berkelanjutan
Integrasi Edukasi Kesehatan Berbasis Multimedia dan Produksi Kombucha Lokal untuk Pemberdayaan Masyarakat Desa Muntang Adanti Wido Paramadini; Dasril Aldo; Faizah Faizah; Aminatus Sa'adah; Dedy Agung Prabowo; Hanief Taqiyuddien Adz-Dzaky An-Naayif; Laksmi Dwi Oktavia; Carlita Wahyu Briliana; Luciana Salsabila; Muhammad Nafal Fiqrian
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 5, No 6 (2025): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v5i6.2540

Abstract

This community-based program aimed to improve health literacy among residents of Muntang Village, Kemangkon District, Purbalingga Regency through the integration of multimedia-based health education and the production of locally sourced kombucha as a probiotic product based on village potential. The activities were implemented through several main stages, including community needs analysis, program socialization, development and utilization of multimedia educational media, training on hygienic kombucha production using local ingredients, implementation of digital promotion, mentoring, and sustainability evaluation. The results showed a 70 percent increase in community health literacy based on pre-test and post-test comparisons involving 50 training participants. The program also successfully produced 200 bottles of local kombucha with various flavor variants and improved hygienic production skills, with all participants able to independently apply standard operating procedures. The involvement of village youth in digital promotion contributed to a 50 percent increase in social media activity within three months, while the use of digital educational media engaged 50 active users during the program period. Participant satisfaction surveys yielded an average score of 4.6 on a 5-point scale, categorized as very satisfied. Overall, the program successfully established a community empowerment model based on health literacy and local product innovation that has the potential to be sustainably replicated in other rural communities.ABSTRAKProgram pengabdian ini bertujuan untuk meningkatkan literasi kesehatan masyarakat Desa Muntang, Kecamatan Kemangkon, Kabupaten Purbalingga melalui integrasi edukasi kesehatan berbasis multimedia dan produksi kombucha lokal sebagai produk probiotik berbasis potensi desa. Kegiatan dilaksanakan melalui beberapa tahapan utama, meliputi analisis kebutuhan masyarakat, sosialisasi program, pengembangan dan pemanfaatan media edukasi multimedia, pelatihan produksi kombucha higienis berbahan lokal, penerapan promosi digital, pendampingan, serta evaluasi keberlanjutan. Hasil pelaksanaan menunjukkan peningkatan literasi kesehatan masyarakat sebesar 70 persen berdasarkan perbandingan hasil pre-test dan post-test pada 50 peserta pelatihan. Program ini juga berhasil menghasilkan 200 botol kombucha lokal dengan berbagai varian rasa, serta meningkatkan keterampilan produksi higienis masyarakat hingga seluruh peserta mampu menerapkan SOP produksi secara mandiri. Keterlibatan remaja desa dalam promosi digital berdampak pada peningkatan aktivitas media sosial sebesar 50 persen dalam tiga bulan, sementara penggunaan media edukasi digital melibatkan 50 pengguna aktif selama periode program. Survei kepuasan peserta menunjukkan skor rata-rata 4,6 pada skala 5 yang termasuk kategori sangat puas. Program ini berhasil membangun model pemberdayaan masyarakat berbasis literasi kesehatan dan inovasi produk lokal yang berpotensi direplikasi pada komunitas pedesaan lainnya secara berkelanjutan.
Comparative Analysis of Hyperparameter Optimization Methods for LSTM in Cryptocurrency Price Prediction: An Application to TRX–USD Aldo, Dasril; Firmansyah, Muhammad Raafi'u; Amrustian, Muhammad Afrizal
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5355

Abstract

The rapid growth of cryptocurrencies increases the demand for accurate forecasting models to support investment decisions and automated trading systems. This study analyzes and compares the performance of several hyperparameter optimization methods applied to a Long Short-Term Memory (LSTM) model for predicting the price of TRX–USD. The dataset consists of 2,096 daily historical records obtained from the Binance platform, including open, high, low, close, volume, and percentage change, with the closing price selected as the forecasting target. A baseline LSTM model was evaluated against six optimization techniques: Grid Search, Random Search, Bayesian Optimization (Hyperopt), Optuna, Particle Swarm Optimization (PSO), and Genetic Algorithm (GA). Experimental results show that GA provides the best performance with an R² score of 0.88, MAE of 0.0123, RMSE of 0.0189, and a validation loss of 0.069. In contrast, Random Search yields the lowest performance, achieving an R² of only 0.2979. These findings highlight significant performance gaps among optimization strategies and demonstrate the superiority of metaheuristic-based approaches over conventional tuning methods. This research contributes to the advancement of computational intelligence by providing empirical evidence on the effectiveness of hyperparameter optimization techniques for deep learning–based time series forecasting, particularly in high-volatility financial environments. 
Co-Authors A.A. Ketut Agung Cahyawan W Abdillah, Alifia Dhia Abimanyu Abimanyu Achmad Solichin Adanti Wido Paramadini Adanti Wido Paramadini Adhe Nuzula Ramadlana Affiyanti, Rakhma Yuli Affriza Brilyan Relo Pambudi Agus Putra Afif Dwi Laksono Agung Irman Syaifudin Agustianto, Satya Helfi Ahmad Faishal Fahrisena Ahmad Riau Ardi Ahmad Rijal Arifin Ahmadi Ahun Ismi Aziz Ajeng Ayu Suryani Ajeng Dyah Kurniawati Aksaningtyas, Laeli Lutfiana Al 'Arifah, Difla Mazidah Al Faiz, M. Hanif Alfan Rizki Juliano Azitya Alifia Dhia Abdillah Alika, Shintia Dwi Alwendi, Alwendi Alzi Mula Baharsyah Amanah, Farah Sofiatul Nur Aminatus Sa'adah Aminatus Sa’adah An-Naayif, Hanief Taqiyuddien Adz-Dzaky Andi Sano, Andreas Novito Andika Bayu S Andre Citro Febriliyan Lanyak Annisa Risqi Sulistya Kusuma Wardhani Apri, Muhamad Ar rasyid, Fauzan Cholis Ardanu, Riski Fitria Ardi - Ardi Ardi Ardi Ardi Ardi, Ahmad Riau Ardianto, Rian Arifin, Ahmad Rijal Army, Widya Lelisa Arrasyid, Zidhan Asti Herliana, Asti Auliya Burhanuddin Aziz, Ahun Ismi Bagus Ahmad Setiawan Baharsyah, Alzi Mula Bidayatul Masulah Bita Parga Zen Carlita Wahyu Briliana Chevin, Virginawan Alessandro Dading Qolbu Adi Dading Qolbu Adi Damiana Trivinita L. B Dana Eko Wahyu Pambudi Danny Kurnianto Darmansah Darmansah, Darmansah Dedi Rahman Habibie Dedi Rahman Habibie Dedy Agung Prabowo Dedy Agung Prabowo Dedy Mirwansyah Deni Prasetyo Deni Prasetyo, Deni Denis Oktawandira Dewi Larasae Diah Ayu Lestari Diah Ayu Lestari, Diah Ayu Dian Maharani Dian Maharani Dian Riliyanda Difla Mazidah Al 'Arifah Dika Alim Mu’adin Dwi Satrio, Imam Edwin Adhi Wijaya Eka Arum Setyowati Eko Wahyu Pambudi, Dana Elizabeth Christina Endro Muhammad Akbar Wijiantoro Fadhilatus Salamah, Khanif Rahmah Fahrezy, Fiqry Fahmy Dwe Fahrisena, Ahmad Faishal Fahrullah Fahrullah Faiz, M. Hanif Al Faizah Faizah Fajar Maulana . Farah Sofiatul Nur Amanah Farhan Aryo Pangestu Farhan Rasyid Kamaludin Farhan Yudha Pratama Fathan, Faizal Burhani Ulil Fau, Andrew Fauzi Ahmad Muda Febriliana, Miranda Dwi Feri Yasi Filfimo Yulfiz Ahsanul Hulqi Fiqry Fahmy Dwe Fahrezy Firmansyah, Muhammad Raafi'u Fuady, Tb. Dedy Gigih Attayauban Purnomo Gusla Nengsih, Yeyi Gustiwa, Risang Abdurrahman Hakim, Faiq Mufrih Halim Pratama, Muhammad Fajrul Hammam, Nizar Dhafirul Hanief Taqiyuddien Adz-Dzaky An-Naayif Hanugrah Surya Purwaka Harald Riandi Rantetana Purukan Hariselmi Hariselmi Hariselmi Hariselmi Hariselmi, Hariselmi Hasby Arrahman Hermawaty Hermawaty Hidayat, Afifah Naurah Hutama, Iqbal Yoga Ihsan Maulana Ilwan Syafrinal Iqbal Yoga Hutama Irfan Venny Rahmayanti Irfanza Fadhly, Rafy Islam, Melinta Nurul Ismail Nur Fuadi Jaka Lintang Ramadhan Javana Ufaira Dzaki Kamaludin, Farhan Rasyid Karina Suwandi Khairunnisa Samosir Khanif Rahmah Fadhilatus Salamah Kisviantari, Rizkyna Sekar Kristina Natasia Sinurat Kurniawan, Adrian Kurniawat, Ajeng Dyah Laksmi Dwi Oktavia Larasae, Dewi Lathif Luqmanul Hakim Lina Fatimah Lishobrina Linda Qornaeni Luciana Salsabila Luqman Wahyudi M Yoka Fathoni M. Aldi Yudhi Pradana Mahazam Afrad Maryona Septiara Maulana Faridzal Eka Nugraha Maulana, Fajar Maulana, Ihsan Maulida, Elsa Maylaffayza Fikri Firdausy Melinda Br Ginting Melinta Nurul Islam Miftahul Ilmi Miftahul Ilmi, Miftahul Miranda Dwi Febriliana Muadin, Dika Alim Muhamad Apri Muhamad Apri Muhamad Azrino Gustalika Muhammad Afrizal Amrustian Muhammad Agus Muljanto Muhammad Briliantama Putra Muhammad Husni Muhammad Nafal Fiqrian Muhammad Nazmi Al Faiz Muhammad Zaky Mubarok munir, Zainul Munir Naek Liberty Manik Nafidanisa Nanda Arista Rizki Nariza Wanti Wulan Sari Nia Annisa Ferani Tanjung Nicolaus Nizar Dhafirul Hammam Novanda Alim Setya Nugraha Nugraha, Alfa Yudha Nugraha, Maulana Faridzal Eka Nursaka Putra NURUL HIKMAH Nurul Hikmah Nyimas Ananda Putri Mulyono Oktawandira, Denis P , Affriza Brilyan Relo Pambudi Agus Pambudi, Dana Eko Wahyu Pamuji, Yanuar Ikhsan Pangestu, Farhan Aryo Pradana, M. Aldi Yudhi Prakoso, Thorik Agung Pratama, Farhan Yudha Purnomo, Gigih Attayauban Putra, Muhammad Briliantama Putri, Yuliarni Rahayu, Trisna Kenti Rakhma Yuli Affiyanti Ramadhan, Firman Adi Ramadhan, Jaka Lintang Ramadhani, Rima Dias Ramadlana, Adhe Nuzula Rania Nur Hikmah Raspati, Mochamad Ravy Ratna Budiarti Dwi Rahayu Reza Iqbal Pramudya Rian Ardianto Rian Ardianto Richki Hardi Richo Richo Rifa Yanti Risfendra, Risfendra Riski Fitria Ardanu Riswan Azhari Riyani, Annisa Defitriana Rizkyna Sekar Kisviantari Rostina Rostina Rostina Rostina Sa'adah, Aminatus Sahara Sahara Sandhy Fernandez Sapta Eka Putra Saputra , Wahyu Andi Saputra, Candra Eka Saputra, Sandra Saputri, Sekar Isnaeni Nurul Saragih, Lorance Saraswati, RR Michelle Dewi Sarwenty, Putri Nabilah Satya Nur Hutama Sekar Isnaeni Nurul Saputri Setiawan, Bagus Ahmad Setyawan Suroso Sinurat, Kristina Natasia Sophia Deo Sandeva Sri Mulyani Sudianto, Sudianto Sulaeman, Gilang Suleman, Gilang Suprapto, Amelia Rut Suroso, Setyawan Susi Irwanti Susie Susie Syaifudin, Agung Irman Tb. Dedy Fuady Tegar Alamsyah Tohari, Mohammad Amin Tondang, Beny Alphon Toni Anwar Trihastuti Yuniati Trisna Kenti Rahayu Usman, Muhammad Lulu Latif Utami, Annisaa Wanda Ilham Wanda Ilham Wendra, Yumai Widya Lelisa Army Wijaya, Edwin Adhi Wijaya, Trisno Wijiantoro, Endro Muhammad Akbar Yasin, Feri Yoga Madhasatya, Satriya Yogo Dwi Prasetyo Yohani Setiya Rafika Nur Yoka Fathoni, M. Yumai Wendra Yunita, Salsabila Firda Zefanya Yuni Br, Syaloom ⁠David Faizul Anwar ⁠Niki Sinta Anggun Setyowati