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All Journal Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Ranggagading (JIR) Fakultas Ekonomi JURNAL ILMIAH SOCIETY Kitektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO Sari Pediatri Jurnal Kedokteran Gigi Universitas Padjadjaran Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Journal of Economic, Bussines and Accounting (COSTING) JITK (Jurnal Ilmu Pengetahuan dan Komputer) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Kebijakan Perikanan Indonesia Reka Buana : Jurnal Ilmiah Teknik Sipil dan Teknik Kimia QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT JETL (Journal Of Education, Teaching and Learning) INTERNATIONAL JOURNAL OF NURSING AND MIDWIFERY SCIENCE (IJNMS) JISIP: Jurnal Ilmu Sosial dan Pendidikan Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Pemerintahan dan Politik Jurnal Ilmiah Edunomika (JIE) International Journal of Economics Development Research (IJEDR) Indonesian Journal of Electrical Engineering and Computer Science Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Cahaya Mandalika International Journal of Engineering, Science and Information Technology Jurnal Pengabdian kepada Masyarakat Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) Journal of Government Science (GovSci ) : Jurnal Ilmu Pemerintahan Journal of Emerging Business Management and Entrepreneurship Studies Green Intelligent Systems and Applications JTechLP Jurnal Pengabdian Masyarakat Bangsa Jurnal Rekayasa elektrika Triwikrama: Jurnal Ilmu Sosial JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Jurnal INFOTEL Pubmedia Social Sciences and Humanities Akuntansi: Jurnal Riset Ilmu Akuntansi GEMBIRA (Pengabdian Kepada Masyarakat) Jurnal Polimesin Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Sriwijaya Electrical and Computer Engineering (Selco) Journal Jurnal Pengabdian Rekayasa dan Wirausaha Nawadeepa: Jurnal Pengabdian Masyarakat
Melinda Melinda
Jurusan Teknik Elektro Dan Komputer, Fakultas Teknik Universitas Syiah Kuala
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Mobile Application Development for Facial Classification of Autistic Children Based on MobileNet-V3 Ramadhan, Irsyan; Melinda, Melinda; Yunidar, Yunidar; Acula, Donata D; Miftahujjannah, Rizka; Rusdiana, Siti; Zainal, Zulfan
JURNAL INFOTEL Vol 17 No 3 (2025): August
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i3.1363

Abstract

Early detection of autism spectrum disorder (ASD) is crucial to support timely interventions that can improve children’s cognitive and social development. However, conventional approaches still rely on subjective observations and parental reports. This study proposes the development of a Flutter-based mobile application for face classification of autistic and non-autistic children using the MobileNetV3-Small architecture. The dataset contains 600 original facial images of children aged 4 to 14 years (300 autistic and 300 non-autistic), which were expanded to 1,860 images through augmentation techniques such as Gaussian noise addition, flipping, and contrast adjustment. The model was trained using transfer learning and optimized with the SGD optimizer and sigmoid activation function. During training, the model achieved a training accuracy of 95.27% and a validation accuracy of 97.92%, indicating effective learning with minimal overfitting. Evaluation on the test data showed perfect performance, with accuracy, precision, recall, and F1-score all reaching 100%. The model was then converted to TensorFlow Lite format to allow on-device inference on mobile platforms. The app enables users to upload photos via camera or gallery and instantly receive classification results, which are also saved to Firebase for history tracking. Testing showed a fast response time (1–2 seconds) and a smooth, user-friendly experience. These results highlight the potential of the system as a lightweight, efficient, and accessible facial image-based ASD screening tool, particularly in regions with limited access to specialized healthcare. Future work should include validation using larger and more diverse datasets across different demographics to ensure model robustness, fairness, and generalizability in real-world environments.
Pelatihan dam implementasi eko enzim mendukung pertanian ramah lingkungan memitigasi ketahanan pangan di Pesantren Al Kautsar, Medan Siregar, Ameilia Zuliyanti; Nasution, Zulkifli; Nauly, Meutia; Tulus, Tulus; Siregar, Netti Herlina; Ramli, Ichwana; Mahidin, Mahidin; Nasrul, Nasrul; Nasution, Indera Sakti; Melinda, Melinda; Muhibuddin, Muhibuddin
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 5 (2025): September
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i5.34006

Abstract

Abstrak Kegiatan Pengabdian masyarakat Kolaborasi Indonesia (PMKI) USU 2025 sebagai co-host dengan host Universitas Syiah Kuala (USK) ini dilaksanakan di Pondok Pesantren Al Kautsar Al Akbar, Medan, dengan tujuan meningkatkan pengetahuan dan keterampilan santri dalam mengolah sampah organik menjadi ekoenzim sebagai produk ramah lingkungan yang bermanfaat. Metode yang digunakan adalah Asset Based Community Development (ABCD) melalui tahapan discovery, dream, design, define, dan destiny. Pelaksanaan meliputi Sosialisasi, Pelatihan pembuatan ekoenzim, pembuatan desinfektan berbahan ekoenzim, serta implementasinya pada kegiatan berkebun. Sebanyak 40 santri (15 putra dan 25 putri, rentang usia 14-17 Tahun, santri dari kelas 1, 2, 3 SMA) yang mengikuti kegiatan,  diawali dengan pre-test dan diakhiri dengan post-test. Hasil evaluasi menunjukkan peningkatan pemahaman signifikan, dengan rata-rata nilai pre-test 65,25 dan post-test 93,5. Sebanyak 95% peserta menyatakan kegiatan sangat menarik, 93% menyatakan bermanfaat, dan 89% menyatakan pemahamannya meningkat. Kegiatan ini berhasil membekali santri dengan keterampilan pengolahan sampah organik menjadi produk bernilai guna dalam bentuk eko enzim yang mendukung pertanian ramah lingkungan dan mitigasi masalah ketahanan pangan di lingkungan pesantren. Kata kunci: ekoenzim; pengolahan sampah organik; pertanian ramah lingkungan; pengabdian masyarakat. Abstract The Indonesian Collaboration Community Service (ICCS) of University Sumatera Utara Programme 2025 as co-hosy qith host was University Syiah Kuala (USK) was conducted at Pondok Pesantren Al Kautsar Al Akbar, Medan, aiming to enhance students’ knowledge and skills in processing organic waste into eco-enzyme, an environmentally friendly and beneficial product. The program adopted the Asset Based Community Development (ABCD) method through five stages: discovery, dream, design, define, and destiny. Activities included awareness sessions, eco-enzyme production training, eco-enzyme-based disinfectant preparation, and its application in gardening activities. A total of 40 students (15 males and 25 females, age rates was 14-17 years old, consit of 1, 2, 3 SMA students),  starting with a pre-test and ending with a post-test. Evaluation results indicated a significant improvement in understanding, with average pre-test and post-test scores of 65.25 and 93.5, respectively. Furthermore, 95% of participants stated the program was very interesting, 93% found it beneficial, and 89% reported increased comprehension. This program successfully equipped students with skills in organic waste processing into value-added products, while supporting environmentally friendly agriculture and contributing to food security resilience in the pesantren environment. Keywords: eco-enzyme; organic waste processing; community service; environmentally friendly agriculture.
BEHAVIORAL COUNSELING MODEL FOR IMPROVING HEMOGLOBIN LEVELS IN ADOLESCENT GIRLS WITH ANEMIA Mayanti, Andi; Winarningsih, Rahayu Arum; Melinda, Melinda; Nurhasanah, Lulu; Umrah, Andi Sitti; Suriati, Israini
INTERNATIONAL JOURNAL OF NURSING AND MIDWIFERY SCIENCE (IJNMS) Vol. 8 No. 3 (2024): VOLUME 8 ISSUE 3 DECEMBER 2024
Publisher : Departement Research and Community Engagement Bina Sehat PPNI Institute of Health Science, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29082/IJNMS/2024/Vol8/Iss3/632

Abstract

This study aims to analyze the impact of Behavioral Counseling on haemoglobin improvement in adolescents with anaemia in Palopo City. The research employed a pre-experimental method with a one-group design (pretest-posttest) approach, where haemoglobin levels were measured before the intervention (P1), followed by four intervention sessions over four weeks. After the intervention, haemoglobin levels were measured again (P2). The study was conducted at SMAN 05 Palopo City. The population and sample consisted of 60 female adolescents with anaemia. Research instruments included observation sheets and questionnaires. Data collection involved two measurements, before and after the intervention. Data analysis was performed using the Wilcoxon test with a 95% significance level. The results showed that the mean haemoglobin level before the intervention was 10.3 g/dL, which increased to 11.6 g/dL after the intervention, indicating an improvement of 1.3 g/dL. Based on statistical testing using the Wilcoxon test, a value of ρ = 0.000 < α = 0.05 was obtained. It means that the behavioural counselling model significantly improved haemoglobin levels in adolescent girls with anaemia. In conclusion, behavioural counselling can serve as a practical and effective strategy to help adolescents change unproductive behaviours into more positive ones and improve health, particularly in treating and preventing anaemia.
Performance Analysis of H2O and H2O with HCl Material Image Classification Using Inception V3, VGG19, DenseNet201, and Otsu Segmentation Yunidar, Yunidar; Melinda, Melinda; Putri, Mauliza; Irhamsyah, Muhammad; Basir, Nurlida; Khairah, Alfita
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1253

Abstract

Challenges in classifying signals with fluctuations remain a focus in the field of image and signal processing. Deep learning technology, especially CNN (Convolutional Neural Network), has proven effective for complex visual classification; however, its performance can still be improved, particularly for signal nonlinearity distributions that are not evenly distributed. This study develops a system for classifying signals that exhibit high fluctuations using a merged Otsu segmentation and deep learning ensemble approach with InceptionV3, VGG19, and DenseNet201 models. The methodology employed is a quantitative study based on a deep learning ensemble. H?O and H?O with HCL signal datasets were processed using Otsu segmentation and then extracted using three CNN architectures, which were then combined with the methods of soft voting and stacking. Evaluation is conducted through the analysis of accuracy, precision, recall, loss, and a confusion matrix. DenseNet201 records the highest accuracy of 95%, precision of 0.90, recall of 0.86, and f1-score of 0.95. InceptionV3 achieves equivalent accuracy (95%) but with a recall of 0.83. VGG19 noted an accuracy of 91%, a precision of 0.82, and a recall of 0.78. The ensemble results show improvement in stability classification, especially in class H?O segmentation. However, the classification class HCL segmentation still shows more mistakes. The integration of Otsu segmentation and deep learning ensemble models has been proven effective in increasing the accuracy of classifying signal fluctuations. Segmentation helps highlight the importance of spatial features, while ensemble enhances model generalization. Research furthermore recommended exploring method segmentation and adaptive data augmentation to handle more complex and unbalanced distributions.
Penerapan Sistem Identifikasi Ekspresi Wajah Anak Penyandang Autisme Berbasiskan Citra Termal pada Sekolah Berkebutuhan Khusus di Banda Aceh Melinda, Melinda; Yunidar, Yunidar; Irhamsyah, Muhammad; Mina Rizky, Muharratul; Leo, Hendrik; Fahmi, Fahmi; Dewi, Cut; Away, Yuwaldi; Misbahuddin, Misbahuddin
Jurnal Pengabdian Rekayasa dan Wirausaha Vol 2, No 1 (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jprw.v2i1.45635

Abstract

This community service activity aims to apply technology to detect facial expressions of children with autism through thermal images. The activity was carried out at My Hope Special Need Center, Banda Aceh, an educational center for orphans and children with special needs. By utilizing a combination of psychological and technological approaches, data collection is carried out in the form of thermal images of the faces of children with and without autism. The data obtained was analyzed using the Convolutional Neural Network (CNN) approach to develop an automatic facial expression detection method. The results of this activity show the potential use of facial recognition technology in supporting education and therapy for children with special needs.
Revitalisasi Penulisan Artikel Ilmiah Berbasis Mendeley bagi Guru SMK Negeri 1 Darul Kamal Aceh Besar Melinda, Melinda; Waladah, Bulen; Ananda, Mulya; Khatami, Muhammad; Irvan kurniawan, Muhammad; Herlina, Herlina
Jurnal Pengabdian Rekayasa dan Wirausaha Vol 1, No 2 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jprw.v1i2.42589

Abstract

Penulisan artikel ilmiah merupakan salah satu aspek penting dalam pengembangan kompetensi guru, terutama dalam rangka meningkatkan kualitas pendidikan. Namun, banyak guru mengalami kesulitan dalam menyusun artikel ilmiah secara sistematis dan terdokumentasi dengan baik, terutama dalam hal pengelolaan referensi. Untuk menjawab tantangan ini, program revitalisasi penulisan artikel ilmiah berbasis aplikasi manajemen referensi Mendeley dilakukan di SMK Negeri 1 Darul Kamal, Aceh Besar. Program ini bertujuan untuk meningkatkan pemahaman dan keterampilan guru dalam menggunakan Mendeley sebagai alat bantu penulisan ilmiah, sehingga proses penyusunan artikel menjadi lebih efisien dan akurat. Metode yang digunakan dalam program ini meliputi pelatihan dan pendampingan intensif, yang diikuti oleh 30 guru dari berbagai bidang studi. Hasil evaluasi menunjukkan bahwa peserta pelatihan mengalami peningkatan signifikan dalam kemampuan mengelola referensi, menyusun daftar pustaka, serta merapikan struktur artikel ilmiah. Program ini diharapkan dapat berkontribusi terhadap peningkatan produktivitas guru dalam menulis artikel ilmiah yang berkualitas serta memajukan budaya literasi ilmiah di lingkungan sekolah
Implementasi Alat Ukur Kondisi Tanah dan Tanaman Cabai di Desa Limpok, Aceh Besar Walidainy, Hubbul; Melinda, Melinda; Maulana, Muhammad Iqbal; Rahman, Aulia; Albar, Nizam; Achmad, Ilham
Jurnal Pengabdian Rekayasa dan Wirausaha Vol 1, No 2 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jprw.v1i2.42638

Abstract

Cabai merupakan salah satu komoditas penting di Indonesia yang memiliki dampak signifikan terhadap perekonomian, terutama dalam mempengaruhi tingkat inflasi. Dengan meningkatnya permintaan cabai setiap tahun, efisiensi dalam budidaya cabai menjadi sangat krusial. Penelitian ini bertujuan mengembangkan teknologi pengukuran nutrisi tanah dan tanaman cabai berbasis sensor untuk membantu petani meningkatkan efisiensi dan hasil panen. Sistem yang dikembangkan menggunakan sensor pH, konduktivitas listrik, serta sensor spektral untuk memantau nutrisi tanah dan daun cabai, seperti nitrogen (N), fosfor (P), dan kalium (K). Data yang diperoleh dari sensor ini dikirimkan ke cloud untuk analisis lebih lanjut, yang hasilnya dapat diakses oleh petani melalui aplikasi mobile. Pengujian dilakukan di Desa Limpok, Kabupaten Aceh Besar, dengan menggunakan purwarupa alat yang telah dirancang. Hasil uji menunjukkan bahwa alat ini mampu memberikan pengukuran yang akurat dan mendekati hasil uji laboratorium. Aplikasi mobile yang dikembangkan juga memudahkan petani dalam memantau kondisi tanaman secara real-time, sehingga pemupukan dapat dilakukan dengan lebih efektif dan efisien. Dengan inovasi ini, diharapkan produktivitas cabai dapat meningkat dan biaya produksi dapat dikurangi, khususnya bagi petani di Desa Limpok dan sekitarnya.
Pemanfaatan Alat Ukur Status Gizi Otomatis Berbasis Mikrokontroler di Posyandu Meulati Gampong Blang Krueng Kecamatan Baitussalam, Aceh Besar Yunidar, Yunidar; Arnia, Fitri; Melinda, Melinda; Away, Yuwaldi; Fathurrahman, Fathurrahman
Jurnal Pengabdian Rekayasa dan Wirausaha Vol 1, No 1 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jprw.v1i1.36528

Abstract

Posyandu merupakan salah satu program pemerintah Indonesia sebagai fasilitas layanan kesehatan masyarakat yang dikelola oleh masyarakat. Posyandu Balita dilaksanakan secara rutin untuk memantau perkembangan pertumbuhan pada balita dengan mengukur tinggi badan, berat badan dan lingkar kepala. Selama ini alat ukur yang digunakan oleh petugas kesehatan di posyandu merupakan alat ukur yang konvensional, dan penentuan status gizi anak masih dilakukan secara manual oleh petugas posyandu yang telah mahir mengkonversi nilai ukur yang diperoleh kedalam rumus skor-z. Hal ini tentu memakan waktu dan kurang efektif sehingga dari hasil penelitian mahasiswa prodi Teknik Elektro telah berhasil merancang alat ukur status gizi otomatis berbasis mikrokontroler dan telah diuji nilai presisi dan keakuratannya. Melalui program pengabdian kepada masyarakat kami akan mensosialisasikan alat ukur otomatis ini pada posyandu Meulati Gampong Blang Krueng, Kecamatan Baitussalam Kabupaten Aceh Besar. Tujuan dari kegiatan ini untuk meningkatkan mutu pelayanan posyandu sehingga dapat berjalan lebih efektif den efisien. Alat ukur ini terdiri dari modul status gizi berdasarkan nilai skor-z dilengakapi dengan LCD sebagai tampilan keluaran dan sensor ultrasonik yang berfungsi sebagai pengukur tinggi badan dan sensor load cell untuk mengukur berat badan. Hasil yang diperoleh dari kegiatan melalui survey kepuasan yang dibagikan ternyata semua orang tua dan wali balita setuju kegiatan pengabdian yang telah dilakukan sangat bermanfaat terutama bagi Masyarakat Blang Krueng.
THE IMPACT OF THE MBKM PROGRAM ON ENGLISH LANGUAGE EDUCATION STUDY PROGRAM STUDENTS’ SELF-CONFIDENCE IN TEACHING ENGLISH Melinda, Melinda; Ariyani, Amra; Asriati, Asriati
JTechLP: Journal of Technology in Language Pedagogy Vol 4, No 2, July (2025): JTechLP: Journal of Technology in Language Pedagogy
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/jtechlp.v4i3, Sept.76790

Abstract

This research aims to find the impact of the MBKM program on increasing students' confidence in teaching English, focusing on students in the Merdeka Belajar Kampus Merdeka (MBKM), especially the AJARMI program, batch 3, in the English Language Education Study Program, Faculty of Language and Literature, Universitas Negeri Makassar. The study involved a sample of 10 AJARMI students selected through purposive sampling. Using a qualitative approach, data were collected through interviews and analyzed descriptively. The results show that the MBKM program has a positive and significant effects on students' confidence in teaching English. This increase in confidence is evident in various aspects, such as communication skills, classroom management, creating a positive learning atmosphere, the ability to give feedback, student evaluation, and teaching readiness. Furthermore, the program contributes to the development of students' personal behavior in teaching.
Image Data Acquisition and Classification of Vannamei Shrimp Cultivation Results Based on Deep Learning Melinda, Melinda; Muthiah, Zharifah; Arnia, Fitri; Elizar, Elizar; Irhmasyah, Muhammad
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 3 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i3.3850

Abstract

This research aimed to employ deep learning techniques to address the classification of Litopenaeus vannamei cultivation results in land ponds and tarpaulin ponds. Despite their similar appearance, distinguishable differences exist in various aspects such as color, shape, size, and market price between the two cultivation methods, often leading to consumer confusion and potential exploitation by irresponsible sellers. To mitigate this challenge, the research proposed a classification method utilizing two Convolutional Neural Network (CNN) architectures: Visual Geometry Group-16 (VGG-16) and Residual Network-50 (ResNet-50), renowned for their success in various image recognition applications. The dataset comprised 2,080 images per class of vannamei shrimp from both types of ponds. Augmentation techniques enhanced the dataset’s diversity and sample size, reinforcing the model’s ability to discern shrimp morphology variations. Experiments were conducted with learning rates of 0.001 and 0.0001 on the Stochastic Gradient Descent (SGD) and Adaptive Moment Estimation (ADAM) optimizers to evaluate their effectiveness in model training. The VGG-16 and ResNet-50 models were trained with a learning rate parameter of 0.0001, leveraging the flexibility and reasonable control provided by the SGD optimizer. Lower learning rate values were chosen to prevent overfitting and enhance training stability. The model evaluation demonstrated promising results, with both architectures achieving 100% accuracy in classifying vannamei shrimp from soil ponds and tarpaulin ponds. Furthermore, experimental findings highlight the superiority of using SGD with a learning rate of 0.0001 over 0.001 on both architectures, underscoring the significant impact of optimizer and learning rate selection on model training effectiveness in image classification tasks.
Co-Authors . Roslidar Aafiyah, Siti Afra Abdurohim Abdurohim, Abdurohim Abed Nego, Abed Abrina Anggraini, Sinar Perbawani Achmad Maqsudi, Achmad Achmad, Ilham Acula, Donata D Acula, Donata D. Adawiyah, Muna Robiatul Afdhal Afdhal Afnan, Afnan Agnesia Candra Sulyani Agung Enriko, I Ketut Agus Herwanto Ahmad, R. Andriadi Ahmadiar, Ahmadiar Akbar, Alif Yafi Al Bahri Alam Mahadika, Alam Mahadika Albahri, Albahri Albar, Nizam Alfariz, Muhammad Fauzan Alfatirta Mufti Alfatirta Mufti Alfian, Ridho Alifia, Rania Sofie Amalia Amalia Amaliatulwalidain, Amaliatulwalidain Ameilia Zuliyanti Siregar Anabel, Cendana Ananda, Mulya Anik Puryatni Anto Ariyanto, Anto Anzelina, Dhea Eprillia Aqif, Hurriyatul Ari Rahmat Putra Ibina Ariyani, Amra Arumi, Naila Azaria Asriati Asriati, Asriati Astuti, Meti Aulia Arafat Aulia Rahman Aurelia, Gabrella Awaluddin Awaluddin Azhar, Deden Azhari, Rizki AZMI, MUHAMMAD RAUDHI Azra, Ery Bashir, Nurlida Basir, Nurlida Basuki Toto Rahmanto Bil Haki, Arif Binti Basir, Nurlida Catur Andryani, Nur Afny Cloudya, Cindy Cut Dewi, Cut D Acula, Donata Diana Novita Diana, Fitri Dini, Siti Doke, Herlina Theodensia D. Duana, Maiza Dwi Rosalina Dwita Sakuntala E Elizar Elizar Elizar Elizar Elizar, Elizar Ellsa Fitria Sari Elsy Rahajeng, Elsy Elya, Chayara Alima Rameyza Ernita Dewi Meutia Fahmi Fahmi Farhan Fathur Rahman, Imam Fathurrahman Fathurrahman Fitri Arnia Fitriyanti, Emiliy Fuaidah, Mahayaya Ghimri, Agung Hilm Gopal Sakarkar Hamdani Hamdani Hanryono, Hanryono Harahap, Subur Harjoedi Adji Tjahjono, Harjoedi Adji Hasan, Hafidh Hasan, Vania Pratama Heltha, Fahri Herlina Dimiati, Herlina Herlina Herlina Hubbul Walidainy I Gusti Bagus Astawa I Ketut Agung Enriko Iis Juniati Lathiifah Indarti, Ghinna Yulia Indera Sakti Nasution Indriani, Berlian Irawan Irawan Irhmasyah, Muhammad Irvan kurniawan, Muhammad Iskandar Hasanuddin Iskandar Hasanuddin Islamy, Fajrul Joanita Jalianery Junidar, Junidar Karlisa Priandana Kencana, Novia Khairah, Alfita Khairia, Syaidatul Khatami, Muhammad Kristiana kristiana Lailatul Qadri Zakaria Leo, Hendrik Lerrick, Yudith F. Lisbeth Lesawengen, Lisbeth Lucky, Muhammad Luju, Elisabet Lukman Hidayat M Fahrur Rozi Magfirah, Inayah Zaini Mahidin Mahidin Malahayati, M. Margarethy Rohanie Mbado Maulana Imam Muttaqin Maulana, Muhammad Iqbal Maulisa, Oktiana Mayanti, Andi Meutia Nauly Miftahujjannah, Rizka Mina Rizky , Muharratul Mina Rizky, Muharratul Mirza Rahmat, Muhammad Misbahuddin Misbahuddin Mohd. Syaryadhi Morita Sari Muhamad Risal Tawil Muhammad Furqan Muhammad Irhamsyah Muhammad Irhamsyah Muhammad Irhamsyah Muhammad Irhamsyah Muhammad Ridwan Muhibbuddin Muhibbuddin Muhibuddin Muhibuddin, Muhibuddin Muliyadi Muliyadi Mulyadi Mulyadi Mulyadi, Yose Ega Mustikawati, Yunitari Muttaqin, Ikram N Nasaruddin Nabella, Putri Rama Nabila, Nissa Hasna Nasaruddin Nasaruddin Nasaruddin Nasaruddin Nasaruddin Syafie Nasrul Arahman Nasrul Nasrul Nazilla, Izza Nofrima, Sanny Novandri, Andri Nuraini, Endah Nurbadriani, Cut Nanda Nurfatikah, Aisyah Ariyani Nurhasanah, Lulu Nurhetty , Putri Alia Nurlida Basir Nurlida Basir Nusa Muktiadji OKTADINATA, ALEK Oktiana, Maulisa Peronika, Agustina Prabowo, Bangkit Yudo Pramesti, Nadya Wahyu PRATIWI, SASKIA Prayoga, Bima Wicaksana Dwi Pringgandini, Laras Ayu Purwati, Agnes Susana Merry Purwatiningsih, Sri Desti Putra Anwar Ginting, M. Alief Akhbar Putri Mauliza, Putri Qadri Zakaria, Lailatul Rafiki, Aufa Rahmi Susanti Raihan, Siti Rajagukguk, Katarina Rani Ramadan, Muhammad Fahreza Ramadhan, Irsyan Ramadhani, Hanum Aulia Ramdhana, Rizka Ramli, Amaliatulwalidain Ramli, Ichwana Rendy Setiawan Ridara, Rina Rini Safitri Riska Sufina Rita Khatir Rizal Syahyadi Romal Ijuddin Rosmawati Rosmawati Roy Budiharjo RoziqiFath, Zain Fuadi Muhammad Rusmardiana, Ana Ruzdy, Nabilah Nameera saepudin, udin Sakarkar, Gopal Sanjani, Fenti Sanny Nofrima, Sanny Nofrima Saputra, Nanda Sari*, Erika Lety Istikhomah Puspita Setiawan, Verdy Shaquille Rizki Ramadhan Na Silaban, Keysha Octarina Silaban, Pangeran O. J Simanjorang, Rican Siregar, Netti Herlina Siska, Emi Yulia Siti Rofiah, Siti Siti Rusdiana Sitti Suhada Solissa, Ferdinando Suhara, Ade Sulastri Sulastri Suriati, Israini Suwandi Suwandi Suyanda, Arya Syahputra, Daniel Syahrial Syahrial, Syahrial Syahyadi, Rizal Syakir, Fakhrus Tandi, Asrin Tariliani, Cut Dara Taufik Iskandar Taufiq Abdul Gani Teuku Muhammad Mirza Keumala Tulus Tulus Ugi Nugraha Ulul Azmi Umrah, Andi Sitti Waani, Fonny J Wahyudianty, Melsa Ulfie Waladah, Bulen Wardana, Surya Wawan Junresti Daya Winarningsih, Rahayu Arum Wong, W. K Wong, W.K Wong, W.K. Yatim, Hertasning Yenti, Riza Reni Yovhandra Ockta Yudesman, Fatriani Margareta Yudha Nurdin Yulia, Prima Dwi Yuliati - Yunidar Yunidar Yunidar Yusup, Syafina Ainur Yuwaldi Away Yuwaldi Away Zahra, Viqqy Nur Zahran Jemi , Faris Zainal, Zulfan Zetira, Zetira Rizqia Erlin Zharifah Muthiah Zulfikar Taqiuddin Zulhelmi, Zulhelmi Zulkifli Nasution