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All Journal Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Ranggagading (JIR) Sinergi 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 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 Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI 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 POLITICA: Jurnal Hukum Tata Negara dan Politik Islam 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 JIKUM: Jurnal Ilmu Komputer Jurnal Pengabdian Rekayasa dan Wirausaha Nawadeepa: Jurnal Pengabdian Masyarakat
Melinda Melinda
Jurusan Teknik Elektro Dan Komputer, Fakultas Teknik Universitas Syiah Kuala
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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IoT-Enhanced mechanical system for fogponic cultivation: Air circulation and environmental control Heltha, Fahri; Yunidar, Yunidar; Syahyadi, Rizal; Melinda, Melinda; Azhari, Rizki; Elizar, Elizar
Jurnal Polimesin Vol 23, No 1 (2025): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i1.6183

Abstract

Fogponic cultivation, a hydroponic technique that utilizes water mist for nutrient delivery, offers a significant advantage in water and nutrient efficiency. However, suboptimal air circulation, temperature, and humidity in the root chamber can hinder plant growth and nutrient uptake. This study develops an IoT-enhanced mechanical system to optimize environmental conditions in a fogponic root chamber for cultivating spinach (Spinacia oleracea) seedlings. An actuator in the form of a fan was integrated to regulate air circulation, and managed by a Proportional Integral Derivative (PID) controller for precise temperature and humidity control. The system was monitored using the IoT-based Blink application. The results showed that the PID controller effectively regulated environmental conditions, with optimized parameter values: Kp = 5.76, Ki = 0.576, and Kd =14.4. Performance comparisons with P, PI, and PD controllers demonstrated effective humidity control, achieving the target set point of 92% with rise times of 447–1090 seconds and steady-state errors of 0–0.5%. By integrating mechanical components such as the fan with IoT-based monitoring, the system achieves continuous adjustments to the environment, enhancing plant growth conditions. 
Comparative Analysis of Homomorphic and Morphological Filters Using Inception V3 for Thermal Facial Image Classification of Autistic Children Catur Andryani, Nur Afny; Melinda, Melinda; Tariliani, Cut Dara; Oktiana, Maulisa; Junidar, Junidar
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.2885

Abstract

Autism Spectrum Disorder (ASD) is a neuro-developmental disorder characterized by varying degrees of difficulty in social interaction and communication and repetitive behaviors. Early confirmation of the diagnosis of ASD leads to early appropriate treatment. However, confirming ASD diagnosis is challenging due to its wide spectrum and challenging behavior assessment. This research proposes a technology-based ASD diagnosis on children utilizing thermal facial analysis. This is conducted subject to the uniqueness of facial expression that is typically applied to children with ASD. A modified Inception V3 architecture did the intended thermal facial analysis for ASD diagnosis. Homomorphic filters and morphological filters are applied to the data pre-processing to improve the classification ability. The proposed identification method shows better sensitivity to the false-positive aspect. It is indicated by better performance in terms of precision, with a rate of 90% to 91%. This research is expected to support medical experts in confirming early diagnosis in children with ASD.
“Green Aisyiyah” : Praksis Ekofeminis Gerakan Aisyiyah dalam Mengatasi Perubahan Iklim di Indonesia Ramli, Amaliatulwalidain; Kencana, Novia; Melinda, Melinda
Jurnal Pemerintahan dan Politik Vol. 8 No. 3 (2023)
Publisher : Universitas Indo Global Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jpg.v8i3.2205

Abstract

This study aims to identify the Green Aisyiyah Program as a realization of the eco-feminist idea of dealing with climate change in Indonesia. The Green Aisyiyah Program is a program initiated by the Division of the Environmental Agency for Disaster Management (LLHPB), as one of the divisions within the structure of the Aisyiyah Movement. In elaborating this research, using qualitative methods with a phenomenological approach supported by Green Politics theory and ecofeminist theory. The results of the study explained that the Green Aisyiyah program is synonymous with empowering women to commit and contribute to protecting the environment in a sustainable manner in anticipation of climate change, various derivatives of the Green Aisyiyah program such as Green Ramadan, Green Eid al-Fitr, and Green Eid al-Adha were constructed through various activities that are very close to the daily lives and lives of women as agents of change because it cannot be denied that women are an important subject in access to natural resources, food and the environment.
Precise Electrocardiogram Signal Analysis Using ResNet, DenseNet, and XceptionNet Models in Autistic Children Yunidar, Yunidar; Melinda, Melinda; Albahri, Albahri; Ramadhani, Hanum Aulia; Dimiati, Herlina; Basir, Nurlida
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 4 (2025): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i4.1044

Abstract

In autistic children, one of the important physiological aspects to be examined is the heart condition, which can be assessed through electrocardiogram (ECG) signal analysis. However, ECG signals in autistic children often contain interference in the form of noise, making the analysis process, both manual and conventional, challenging. Therefore, this study aims to analyze the ECG signals of autistic children using a classification method to distinguish between two main conditions: playing and calm conditions. A deep learning approach employing the Convolutional Neural Network (CNN) architectures was used to obtain accurate results in distinguishing the heart conditions of autistic children. The data used consists of 700 ECG signal data in each class, processed through the filtering, windowing, and augmentation stages to obtain balanced data. Three CNN architectures, ResNet, DenseNet, and XceptionNet, were tested in this study. Although these architectures are originally designed for 2D and 3D image data, modifications were made to adapt the input data structure to perform 1D data calculations. The evaluation results show that the XceptionNet model achieved the best performance, with accuracy, precision, recall, and F1-score of 97,14% each, indicating a good ability in capturing the complex patterns of ECG signals. Meanwhile, the ResNet obtained good results with 96,19% accuracy, while DenseNet performed slightly lower results with 94,76% accuracy and evaluation metrics. Overall, this study demonstrates that a deep CNN architecture based on dense connections can enhance the accuracy of ECG signal classification in autistic children.
Image Segmentation Performance using Deeplabv3+ with Resnet-50 on Autism Facial Classification Melinda, Melinda; Aqif, Hurriyatul; Junidar, Junidar; Oktiana, Maulisa; Binti Basir, Nurlida; Afdhal, Afdhal; Zainal, Zulfan
JURNAL INFOTEL Vol 16 No 2 (2024): May 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i2.1144

Abstract

In recent years, significant advancements in facial recognition technology have been marked by the prominent use of convolutional neural networks (CNN), particularly in identification applications. This study introduces a novel approach to face recognition by employing ResNet-50 in conjunction with the DeepLabV3 segmentation method. The primary focus of this research lies in the thorough analysis of ResNet-50's performance both without and with the integration of DeepLabV3+ segmentation, specifically in the context of datasets comprising faces of children on the autism spectrum (ASD). The utilization of DeepLabV3+ serves a dual purpose: firstly, to mitigate noise within the datasets, and secondly, to eliminate unnecessary features, ultimately enhancing overall accuracy. Initial results obtained from datasets without segmentation demonstrate a commendable accuracy of 83.7%. However, the integration of DeepLabV3+ yields a substantial improvement, with accuracy soaring to 85.9%. The success of DeepLabV3+ in effectively segmenting and reducing noise within the dataset underscores its pivotal role in refining facial recognition accuracy. In essence, this study underscores the pivotal role of DeepLabV3+ in the realm of facial recognition, showcasing its efficacy in reducing noise and eliminating extraneous features from datasets. The tangible outcome of increased accuracy of 85.9% post-segmentation lends credence to the assertion that DeepLabV3+ significantly contributes to refining the precision of facial recognition systems, particularly when dealing with datasets featuring faces of children on the autism spectrum.
THE INFLUENCE OF FINANCIAL DEVELOPMENT ON EMISSIONS IN INDONESIA WITH ECONOMIC GROWTH AS A MODERATING VARIABLE Tawil, Muhammad Risal; Siska, Emi Yulia; Lucky, Muhammad; Harahap, Subur; Melinda, Melinda
JURNAL ILMIAH EDUNOMIKA Vol. 8 No. 2 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i2.13213

Abstract

Abstract This research aims to examine the influence of financial development on emissions in Indonesia in 2015-2023 by adding economic growth as a moderating variable. The data is panel data, which was tested with the help of SmartPLS software. The research results show that financial development has a significant and positive effect on emissions. Economic growth is able to moderate the relationship between economic growth and emissions disclosure. It is hoped that this research will become a basis for consideration for investors in making investment decisions, especially in companies. Keywords: Economic Growth, Emissions, Financial Development.
THE EFFECT OF TAX AVOIDANCE ON COMPANY VALUE WITH TAX SANCTIONS AS A MODERATING VARIABLE Doke, Herlina Theodensia D.; Yenti, Riza Reni; Mbado, Margarethy Rohanie; Lerrick, Yudith F.; Melinda, Melinda
JURNAL ILMIAH EDUNOMIKA Vol. 8 No. 3 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i3.14338

Abstract

ABSTRACT This research is quantitative research with an exploratory approach, namely an approach that uses a number of previous studies, especially the five studies above, as the most basic reference for building the agrumentation construct that the researcher will build. The data that researchers use in this article is secondary data that researchers obtained from the Indonesian Stock Exchange. The data used in this research was analyzed using the smart PLS 4.0 analysis tool. The result int this article show. the two hypotheses that the researcher argued in the research methodology section, namely the Tax Avoidance variable, can have a positive relationship direction and a significant influence on the Company Value variable and the Tax Sanction variable can moderate the influence of the Tax Avoidance variable on Company Value due to value. each P-Values in the two rows of the table above shows the direction of a positive relationship and a significant influence which is smaller than the 0.05 significance level, namely 0.001 on the influence of the Tax Aviodance variable on Company Value and 0.000 in the next row, namely the Tax Sanction variable can moderate the influence of the variable. Tax Aviodance on Company Value. This can be caused because Tax Avoidance can minimize expenses which makes the company's financial condition stable. Apart from that, tax sanctions are not too strict and can make companies bolder in avoiding taxes.. Thus the first and second hypotheses in this research can be accepted.
Peningkatan Kemampuan Kader Posyandu Ibnu Sina Gampong Barabung dalam Menentukan Status Gizi Balita Menggunakan Instrumentasi Digital Yunidar, Yunidar; Melinda, Melinda; Hasan, Hafidh; Away, Yuwaldi
Nawadeepa: Jurnal Pengabdian Masyarakat Volume 2, No 2 (2023): June
Publisher : Pencerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58835/nawadeepa.v2i2.182

Abstract

The number of stunting children in the Aceh Besar region until the end of 2022 reached 1,211 cases, so that the Aceh Government and all stakeholders were very focused on reducing the number of stunting cases according to the target set by the Government of the Republic of Indonesia. To help determine the stunting case in Aceh Besar, an accurate digital measuring device is needed so that the prevention process is carried out on the right target. This community service activity is carried out continuously by applying the results of research measuring automatic nutritional status in children through high measurement and weight implemented at the Gampong Barabung Posyandu by training 12 Posyandu cadres in order to use the measuring instrument correctly. The method carried out is through practice and trials so that posyandu cadres that have been trained can determine the number of stunting cases in their area appropriately.
Diseminasi Platform Online Shop berbasis Website dan Situs Belanja Online Melinda, Melinda; Away, Yuwaldi; Yunidar, Yunidar; Raihan, Siti; Nazilla, Izza; Hasan, Vania Pratama
Nawadeepa: Jurnal Pengabdian Masyarakat Volume 2, No 3 (2023): September
Publisher : Pencerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58835/nawadeepa.v2i3.242

Abstract

This service was created with the aim of training partners who have businesses to develop their businesses by creating websites. Where the Website is one of the promotional media which is quite influential in this increasingly sophisticated technological era compared to other promotional media which still use paper such as brochures, posters and others. Websites are the cheapest, most effective and efficient promotional media if they can be managed properly. From any point of view, promotional media using websites still has more advantages, both from the point of view of distributing information, speed of information delivery, and even the price. The idea is to use pantheon.io as a hosting creation page and use several plugins to support website creation, both design and uploading product photos. The partners involved in this activity are online entrepreneurs engaged in selling fragrance products (perfume). The method we use in creating websites is the RAD (Rapid Application Development) method. As a result of this training and mentoring, partners will be able to take advantage of the use of websites and online shopping sites, so that the websites created can be useful for partners who have businesses to increase the target market for their products even wider.
Classification of autism features in electroencephalography recordings using random forest method Melinda, Melinda; Zahran Jemi , Faris; Muliyadi, Muliyadi; Safitri, Rini; Mina Rizky , Muharratul; Duana, Maiza
Sriwijaya Electrical and Computer Engineering Journal Vol. 1 No. 2 (2024): Sriwijaya Electrical and Computer Engineering Journal
Publisher : Control and Computational Intelligent System (CoCIS) Research Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62420/selco.v1i2.9

Abstract

Autism Spectrum Disorder (ASD) is a developmental disorder that significantly impacts communication, social interaction, and behavior in children, often leading to withdrawal, repetitive behaviors, and difficulties with eye contact. Traditional diagnostic methods primarily relied on behavioral assessments, which have proven insufficient in accuracy. This study aims to enhance ASD diagnosis by employing Electroencephalography (EEG) as an objective marker to differentiate between individuals with ASD and neurotypical individuals. Utilizing a dataset from King Abdulaziz University comprising 16 children—4 neurotypical and 12 with ASD—this research implements preprocessing techniques such as Independent Component Analysis (ICA) to eliminate noise and artifacts from EEG signals. Following this, Wavelet Packet Decomposition (WPD) is applied at three levels to improve signal resolution. Statistical features including mean, variance, skewness, and kurtosis are extracted for classification purposes. The Random Forest (RF) method is then employed for classification, achieving an accuracy of 76.8%. However, classification errors predominantly arise from the imbalance in the dataset, with more data available for ASD subjects compared to neurotypical subjects. The findings reveal significant differences in statistical features between the two groups, indicating the potential of EEG technology and computational algorithms in developing a more accurate and objective ASD diagnosis system. This research contributes valuable insights for early intervention strategies and future studies aimed at improving diagnostic methodologies for children with autism.
Co-Authors . Roslidar Aafiyah, Siti Afra Abdurohim Abdurohim, Abdurohim Abed Nego, Abed Abrina Anggraini, Sinar Perbawani Achmad Maqsudi, Achmad Achmad, Ilham 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 Albar, Nizam Alfatirta Mufti Alfatirta Mufti Alfian, Ridho Alifia, Rania Sofie Amalia Amalia Amaliatulwalidain, Amaliatulwalidain Ameilia Zuliyanti Siregar Ameilia Zuliyanti Siregar Anabel, Cendana Ananda, Mulya Anik Puryatni Anto Ariyanto 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 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 Elviandri, Elviandri Elya, Chayara Alima Rameyza Ernita Dewi Meutia Fahmi Fahmi Farhan Fathur Rahman, Imam Fathurrahman Fathurrahman Fitri Arnia Fitriyanti, Emiliy Fuaidah, Mahayaya Gazali, Syahrul 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 Ichwana Ramli Iis Juniati Lathiifah Indarti, Ghinna Yulia Indera Sakti Nasution Indera Sakti Nasution Indriani, Berlian Irawan Irawan Irvan kurniawan, Muhammad Iskandar Hasanuddin Iskandar Hasanuddin Islamy, Fajrul Joanita Jalianery Junidar, Junidar Karlisa Priandana Kencana, Novia Khairah, Alfita Khairah, Divaul Khairia, Syaidatul Kharina, Kharina 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 Maharani, Citra Ayu Deswina Mahfuzha, Raudhatul Mahidin Mahidin Mahidin Mahidin Malahayati, M. Margarethy Rohanie Mbado Maulana Imam Muttaqin Maulana, Muhammad Iqbal Maulisa, Oktiana Mayanti, Andi Meutia Nauly Miftahujjannah, Rizka Mirza Rahmat, Muhammad Mohd. Syaryadhi Morita Sari Muhajir Muhamad Risal Tawil Muhammad Furqan Muhammad Irhamsyah Muhammad Irhamsyah Muhammad Irhamsyah Muhammad Irhamsyah Muhammad Ridwan Muharratul Mina Rizky Muhibbuddin Muhibbuddin Muhibuddin Muhibuddin Muliyadi Muliyadi Mulyadi Mulyadi Mulyadi, Yose Ega Muna, Isyatul Mustikawati, Yunitari N Nasaruddin Nabella, Putri Rama Nabila, Nissa Hasna Nasaruddin Nasaruddin Nasaruddin Nasaruddin Nasaruddin Syafie Nasrul Arahman Nasrul Nasrul Nazilla, Izza Netti Herlina Siregar Nofrima, Sanny Novandri, Andri Nuraini, Endah Nurbadriani, Cut Nanda Nurfatikah, Aisyah Ariyani Nurhasanah, Lulu Nurhetty , Putri Alia Nurlida Basir Nurlida Basir Nusa Muktiadji Odelia, Marsha 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 Ramadhani, Dina 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 Suriadi Suriadi 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 Tulus Tulus Ugi Nugraha Ulul Azmi Umrah, Andi Sitti Waani, Fonny J Wahyudianty, Melsa Ulfie Waladah, Bulen Waladah, Buleun 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 Zulkifli Nasution