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All Journal Jurnal Teknologi JTT (Jurnal Teknologi Terpadu) SAMARAH: Jurnal Hukum Keluarga dan Hukum Islam BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Masyarakat Merdeka (JMM) Jurnal Perspektif JRTI (Jurnal Riset Tindakan Indonesia) Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Surya Teknika Jurnal Syntax Imperatif : Jurnal Ilmu Sosial dan Pendidikan International Journal Of Science, Technology & Management (IJSTM) Journal of Soft Computing Exploration Jurnal Ilmiah Wahana Pendidikan Djtechno: Jurnal Teknologi Informasi INCODING: Journal of Informatics and Computer Science Engineering Edumatika Jurnal Ilmiah Mahasiswa Fakultas Hukum Universitas Malikussaleh EduMatika: Jurnal MIPA Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Mandiri Southeast Asian Journal of Technology and Science Technologica Prosiding Seminar Nasional Pendidikan Matematika, Universitas Mulawarman QISTINA: Jurnal Multidisiplin Indonesia Innovative: Journal Of Social Science Research Journal of Informatics and Data Science (J-IDS) Jurnal Malikussaleh Mengabdi Krigan: Journal of Management and Sharia Business Parameter: Jurnal Matematika, Statistika dan Terapannya International Journal of Computer Science and Information Technology Jurnal Pengabdian Rekayasa dan Wirausaha
Arnita Arnita
Universitas Bung Hatta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Analisis Manajemen Syariah Terhadap Perilaku Stealth Trading Pada Perusahaan Konstruksi Dan Pembangunan BUMN Di Indeks LQ-45 arnita, arnita; Silfitri, Yunia; Rinawati
Krigan: Journal of Management and Sharia Business Vol. 2 No. 2 (2024): Desember 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/krigan.v2i2.9129

Abstract

Abstrak Penenlitian ini bertujuan untuk menganalisis perilaku stealth trading pada perusahaan konstruksi dan pembangunan BUMN di Indeks LQ-45. Penelitian ini menggunakan data sekunder Intraday dari transaksi perdagangan saham perusahaan konstruksi dan pembangunan di Indeks LQ-45 periode Maret, April, dan Mei 2017. Metode analisis data yang digunakan adalah metode deskrptif kuantitatif dengan jumlah 4 perusahaan. Hasil penelitian ini menemukan bahwa terdapatnya perilaku stealth trading pada investor Domestik dan investor asing. Prilaku stealth trading berdasarkan analisis manajemen syariah merupakan bagian yang tidak boleh diterapkan oleh seorang investor dikarenakan prilakau stealth trading tersebut bertentangan dengan prinsip manajemen syariah yang menjunjung tinggi keadilan, transparansi dan kemaslahatan.  Hal tersebut ditunjukkan dari tingginya persentase perubahan harga, yang diikuti dengan persentase transaksi serta persentase volume yang tinggi yang terjadi di ukuran menegah. Di samping itu penelitian ini menemukan stealth trading yang diikuti dengan perubahan harga yang lebih tinggi, tetapi jumlah volume dan transaksi tidak begitu besar karena di Indonesia investor melakukan transaksi kebanyakan masuk kelompok institusional sehingga nilai transaksi dan volume perdagangan lebih banyak pada ukuran besar yang menyebabkan perilaku stealth trading yang terjadi pada ukuran menengah tidak begitu bagus.   Abstract This study examined the stealth trading behavior of construction and state-owned enterprises in the LQ-45 Index. This study used Intraday secondary data from stock trading transactions of construction and development companies on the LQ- 45 Index during March, April, and May 2017. The data analysis method used was a quantitative descriptive method with a total of 4 companies. The results showed that there was stealth trading behavior among domestic investors and foreign investors. This is indicated by the high percentage of price changes, which is followed by the percentage of transactions and the high percentage of volume that occurs in the medium size. Besides, stealth trading was followed by higher price changes, but the volume and transaction amount were not so large because, in Indonesia, investors mostly entered into institutional groups so that the transaction value and trading volume larger, and caused stealth trading behavior in the middle sizes not so good.
IMPLEMENTASI PERATURAN MENTERI PENDIDIKAN KEBUDAYAAN RISET DAN TEKNOLOGI NOMOR 30 TAHUN 2021 TENTANG PENCEGAHAN DAN PENANGANAN KEKERASAN SEKSUAL DI LINGKUNGAN PERGURUAN TINGGI (STUDI PENELITIAN DI UNIVERSITAS MALIKUSSALEH) Hafis, Al; Yusrizal, Yusrizal; Arnita, Arnita
Jurnal Ilmiah Mahasiswa Fakultas Hukum Universitas Malikussaleh Vol. 7 No. 3 (2024): (Agustus)
Publisher : Fakultas Hukum Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jimfh.v7i3.15535

Abstract

Kekerasan seksual merupakan masalah serius yang melanda masyarakat seluruh dunia, termasuk dilingkungan perguruan tinggi, yang menjadi tempat rawan kekerasan seksual, baik antara mahasiswa maupun staf pengajar. Menteri Pendidikan, Kebudayaan, Riset, dan Teknologi Mengeluarkan Peraturan Menteri Pendidikan, Kebudayaan, Riset, dan Teknologi Nomor 30 Tahun 2021 tentang Pencegahan dan Penanganan Kekerasan Seksual di Lingkungan Perguruan Tinggi (PPKS) dalam menangani masalah kekerasan seksual. Universitas Malikussaleh sebagai salah satu perguruan tinggi yang menghadapi tantangan terhadap kekerasan seksual, yang menimbulkan keresahan mahasiswa terjadinya kekerasan seksual.Metode penelitian ini menggunakan jenis penelitian kualitatif, penelitian kualitatif merupakan sebuah penelitian ilmiah yang bertujuan memahami suatu fenomena dalam kontak sosial secara alamiah,  dengan pendekatan yuridis empiris. Pendekatan yuridis empiris merupakan penelitian sosiologis terhadap pengumpulan data melalui wawancara mendalam dengan pemangku kepentingan di universitas malikussaleh mengenai PPKS.Berdasarkan hasil penelitian dalam Implementasi Peraturan Menteri Pendidikan, Kebudayaan, Riset dan Teknologi Nomor 30 Tahun 2021 tentang Pencegahan dan Penanganan Kekerasan seksual di Universitas Malikussaleh, yaitu pembentukan Satgas PPKS Unimal dan melakukan sosialisasi, pengenalan PPKS. termasuk Pemahaman kebijakan, dan hambatan budaya di lingkungan akademik. Namun adanya terjadi 9 kasus kekerasan seksual, 7 diantara diluar lingkungan kampus, 9 dari kasus tersebut dilakukan proses pada aparat penegak hukum dan 7 lainya dilakukan tahap mediasi, untuk pelaku diberikan sanksi, tetapi kasus tersebut lebih tertutup dan tidak di publik sesuai dengan Pasal 35 Ayat (1), ayat (2), ayat (3) Permendikbud Nomor 30 Tahun 2021 tentang PPKS.
Penerapan Diversi di Tingkat Penyidikan Terhadap Anak Sebagai Pelaku Tindak Pidana Penganiayaan (Studi Penelitian Di Polres Gayo Lues Rezeki, Citra Mahara; Saputra, Ferdy; Arnita, Arnita
Jurnal Ilmiah Mahasiswa Fakultas Hukum Universitas Malikussaleh Vol. 7 No. 3 (2024): (Agustus)
Publisher : Fakultas Hukum Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jimfh.v7i3.17008

Abstract

Studi ini bertujuan untuk meneliti tentang pelaksanaan diversi oleh penyidik terhadap anak yang melakukan tindak pidana penganiayaan, hambatan serta upaya yang dilakukan oleh penyidik dalam melaksanakan diversi. Penelitian ini menggunakan jenis penelitian yuridis empiris dengan pendekatan kasus (case approach) dan bersifat deskriptif dengan menggambarkan tentang penerapan diversi. Hasil penelitian menunjukkan bahwa penerapan diversi oleh penyidik Polres Gayo Lues terhadap anak yang melakukan tindak pidana dilaksanakan berdasarkan UU SPPA dengan melibatkan beberapa pihak yang terkait, untuk dilakukan musyawarah dan hasilnya disusun dalam bentuk Kesepakatan Diversi. Adapun hambatan yang terjadi dalam penerapan diversi yaitu berupa kurangnya personil Polri yang terlatih dalam penanganan perkara anak, korban tidak mau memaafkan pelaku, rendahnya pemahaman masyarakat tentang diversi, kurangnya waktu yang diberikan oleh undang-undang bagi penegak hukum untuk mengupayakan diversi, serta sarana dan prasarana yang tidak memadai. Upaya yang dilakukan dalam menangani hambatan tersebut yaitu dengan melakukan seminar atau kegiatan-kegiatan lain yang berhubungan dengan diversi serta melakukan praktek pelaksanaan diversi oleh penyidik PPA.
Stock Closing Price Prediction of PT Bank Central Asia Tbk (BBCA) with Long Short-Term Memory (LSTM) Tarigan, Febry Vista Kristen; Putri, Amelia; Nicolas, Jogi; Faradhilla, Anatasia; Gulo, Lirana Sapriani; Arnita, Arnita
EduMatika: Jurnal MIPA Vol. 5 No. 2 (2025): EduMatika: Jurnal MIPA
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/emju.v5i2.1104

Abstract

Stock price volatility remains one of the key challenges for investors in making accurate investment decisions in Indonesia’s capital market. To address this issue, predictive approaches based on machine learning—such as the Long Short-Term Memory (LSTM) algorithm—are increasingly utilized due to their effectiveness in processing time series data. This study aims to develop a model for predicting the closing price of PT Bank Central Asia Tbk (BBCA) shares using the LSTM method. The dataset consists of historical daily stock prices of BBCA from 2015 to mid-2025, obtained from Yahoo Finance. The research stages include data preprocessing, normalization, sequence generation, LSTM model construction, training and validation, and performance evaluation using Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). The results show that the LSTM model successfully predicted closing stock prices with high accuracy, as indicated by a very low validation loss and prediction curves that closely follow actual price trends. This suggests that LSTM has a strong generalization ability and is effective in capturing complex stock movement patterns. The novelty of this research lies in the practical implementation of LSTM for BBCA stock price prediction and its potential application in real-time decision support systems for investors.
Development of Deep Learning Model Based on Convolutional Neural Network (CNN) for Brain Tumor Classification Using MRI Images Sinaga, May Rani Tabitha; Tampubolon, Bungaria; Daulay, Nurfitri Humayro; Triana, Dinie; Hani, Aulia; Simanjuntak, Ferdyanto Abangan; Arnita, Arnita
EduMatika: Jurnal MIPA Vol. 5 No. 2 (2025): EduMatika: Jurnal MIPA
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/emju.v5i2.1105

Abstract

Brain tumor classification using MRI images presents a critical challenge in medical radiology. This study develops a deep learning model based on Convolutional Neural Network (CNN) to classify brain MRI images into four categories: Normal, Glioma, Meningioma, and Pituitary. A publicly available dataset from Kaggle consisting of 20,672 images was used, with preprocessing and data augmentation applied. The model architecture includes convolutional, pooling, flatten, dense, and dropout layers, optimized using the Adam optimizer and categorical crossentropy loss function. The evaluation results show that the model achieved an overall accuracy of 96% with high f1-scores across all classes, particularly for the Pituitary class (0.98). The main contribution of this study lies in the integration of diverse data augmentation techniques and Explainable AI (XAI) methods, enabling the visualization of key areas in MRI images that support classification decisions. The proposed model is not only accurate but also demonstrates strong generalization and interpretability, making it a promising tool for clinical decision support systems in brain tumor diagnosis.
Uji Coba Aplikasi Mobile untuk Layanan Konseling dan Pengaduan Perempuan dan Anak pada UPTD PPA Kabupaten Agam Hidayat, Hidayat; Pakpahan, Muhammad Yusuf; Arnita, Arnita; Sunaryo, Budi; Satria, Iman
Jurnal Pengabdian Rekayasa dan Wirausaha Vol 2, No 2 (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kasus kekerasan terhadap perempuan dan anak di Kabupaten Agam masih cukup tinggi, sementara keterbatasan akses geografis menyebabkan tidak semua kasus dapat terdata dan tertangani dengan baik. Artikel ini menyajikan inovasi teknis berupa rancang bangun dan uji coba aplikasimobileuntuk layanan konseling dan pengaduan perempuan dan anak pada UPTD PPA Kabupaten Agam. Tujuannya adalah mengembangkan aplikasi terintegrasi berbasis Flutter guna meningkatkan akses dan efisiensi layanan pengaduan. Metode pengembangan yang digunakan adalah model Waterfall, dengan implementasi menggunakan Flutter dan Firebase sebagai backend. Pengujian dilakukan melaluiBlack-box testinguntuk memastikan fungsionalitas sistem sertaSystem UsabilityScale(SUS) terhadap 28 responden untuk menilai kegunaan aplikasi, yang terdiri atas masyarakat umum, petugas UPTD PPA Kabupaten Agam, serta pengguna yang mewakili target pemakai aplikasi. Hasilnya menunjukkan seluruh fitur termasuk pengaduan, konselingreal-time,danchatberbasisArtificial Intelligent(AI) berfungsi baik, dengan skor SUS 70,54 (kategoriacceptable). Aplikasi ini masih berada pada tahap eksperimen dan belum diuji secara luas di masyarakat. Meski demikian, hasil uji coba ini menunjukkan potensi aplikasi sebagai solusi awal dalam peningkatan aksesibilitas dan efektivitas layanan perlindungan perempuan dan anak di Kabupaten Agam.
Developing RME-based Mathematics Textbook to Improve Students’ Numeracy Skills and Learning Motivation Siregar, Latifah; Asmin, Asmin; Arnita, Arnita
Edumatika Vol 7 No 2 (2024): November 2024, Edumatika : Jurnal Riset Pendidikan Matematika
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan IAIN Kerinci

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32939/ejrpm.v7i2.3828

Abstract

Referring to PISA 2015 and 2018 data, Indonesian students' mathematics skills, especially numeracy skills, are lower than the global average score. One effort that can be made to improve students' numeracy skills and learning motivation is the development of mathematics textbook based on Realistic Mathematics Education (RME) with relevant contexts that students can imagine. So, this study aims to develop RME-based mathematics textbook to improve students' numeracy skills and learning motivation using the context of Nai Marbittang, one of the popular folklores in South Tapanuli, North Sumatra, Indonesia. The researchers used the ADDIE development model to develop textbook while assessing its validity through expert validation sheets, practicality through questionnaires, and effectiveness through motivation questionnaires and numeracy tests. Through this study, the products developed were proven to be valid, practical, and effective in improving students' numeracy skills and learning motivation so it can be used more widely, especially on the Pythagorean theorem topic. Other researchers can also utilize folklores on various mathematics topics to improve students' numeracy and learning motivation.
ENHANCING LQ45 STOCK PRICE FORECASTING USING LSTM MODEL Sinaga, Marlina Setia; Iskandar, Said; Manullang, Sudianto; Arnita, Arnita; Marpaung, Faridawaty; Buulolo, Fatizanolo
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 1 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss1pp0427-0438

Abstract

Stocks listed in the LQ45 index represent companies with high liquidity, large market capitalization, and strong fundamentals, making them pivotal to the movements of the Indonesian capital market. This study selects eight LQ45-listed stocks from the energy and mining sectors, as well as the banking sector. Historical data spanning a 10-year period from February 28, 2015, to February 28, 2025. This research aims to mitigate the impact of stock market dynamics, a significant challenge for investor decision-making. The Long Short-Term Memory (LSTM) method was employed to forecast stock prices using four variables: opening, highest, lowest, and closing prices. The LSTM architecture was chosen because its gated memory cells can effectively capture long‑term dependencies and nonlinear patterns in financial time series, thereby aligning with the research objective of minimizing forecasting error under volatile market conditions. Evaluation results using the Mean Absolute Percentage Error (MAPE) showed prediction errors below 2.5%, indicating relatively low forecasting error. Root Mean Squared Error (RMSE) values varied depending on stock price volatility. Companies exhibiting higher stock prices, such as Indo Tambangraya Megah Tbk (ITMG), demonstrate larger RMSE values. For opening prices, predictive accuracy was notably strong, with MAPE values consistently below 1.26%. This suggests that opening prices, influenced by pre-market sentiment and historical data, are more stable and easier to predict compared to other price variables.
Maximal Flow of Transportation Network in Medan City Using Ford-Fulkerson Algorithm Marpaung, Faridawaty; Arnita, Arnita; Sari, Nila
International Journal of Science, Technology & Management Vol. 4 No. 1 (2023): January 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i1.724

Abstract

Transportation is a major component of living, government, and social systems. Tsocio-demographic conditions influence the performance. In this study has a purpose as an investigation of an event that measures the maximal capacity of the road as a way to overcome congestion. Searching for the maximal flow based upon the graph formed using the Ford-Fulkerson Algorithm with numerous stages, namely determining the possible pathway through the source point to the main point arranged in numerous iterations by analyzing the graph formed. Then the initialization process is given by zero flow from each side of the graph, then the search for maximal flow is obtained after doing as many as 16 iterations. The residual flow results from subtracting the total number of flows by the number of flows at each iteration. The iteration will stop if no more augmenting pathway is found. Cuts will occur if the amount of flow equals the amount of capacity. Research data is in the form of public transportations in Medan and routes. The data was obtained directly from the archives of the Transportation Service in Medan City. The search for the maximal flow of the transportation network is carried out by observing the public transportation route in the city of Medan, namely the public transportation route through Jalan Jamin Ginting to Jl. Various types of public transportation traverse Williem Iskandar. Based upon the research, the maximal capacity can be exceeded through the transportation network. There are 5 types of public transportations. The pathway through City Hall - Jl. Putri Hijau and the pathway through Jl. Perintis Kemerdekaan–Jl. HM. Yamin has exceeded capacity because the types of public transportation that pass through the two roads are 15 and 9. However, the other lanes are still low, so it should divert some types of public transportation overload to empty roads.
Prediksi Penjualan Produk Makanan dan Minuman Ringan pada PT. Sinar Niaga Sejahtera Menggunakan Metode Holt-Winters Berbasis Website Lubis, M. Revano Ananda; Taufik, Insan; Al Idrus, Said Iskandar; Arnita, Arnita; Syahputra, Hermawan
INCODING: Journal of Informatics and Computer Science Engineering Vol 5, No 2 (2025): INCODING OKTOBER
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v5i2.1024

Abstract

PT. Sinar Niaga Sejahtera is a food and beverage distribution company that still relies on conventional methods to determine stock levels, often facing inventory management challenges due to fluctuations in market demand. This study aims to predict sales of the 15 best-selling products at the Tebing Tinggi branch using the Holt-Winters method, based on a website that provides historical sales data from January 2021 to December 2024. The research stages include problem identification, data collection, application of the Holt-Winters method, model evaluation using Mean Absolute Percentage Error (MAPE), and implementation of a website-based system. The results of the study on one product, Garuda Atom Original, show optimal parameters of α = 0.1, β = 0, and γ = 0.8 with an MAPE value of 5,703115%, which is classified as very good. The implementation of a website-based sales prediction system makes it easier for administrators to manage product data, record sales data, and obtain prediction results in the form of informative graphs and tables, thereby helping the company reduce the risk of overstocking or understocking and supporting more effective data-driven decision-making.
Co-Authors Abadi Simanullang, Paskah Advis Ambrosius Sitohang, Yuda Agus Waruwu, Stefen Ahmad Naufal, Ahmad Alfin, Muhammad Amalia, Seila Amanah, Fadilla Amelia Br Siregar, Ririn Amelia Vega S. Meliala, Ruth Ananda Hafika, Rizky Anastasya Carity S, Disty Andari, Arnis Wulan Anfadi, Farid Ariatna Asmin Asmin, Asmin Asyri, Al Aulia, Windy Banjarnahor, Riski Melanton Barus, Emya Lavigana Budi Akbar, Muhammad Budi Sunaryo, Budi Bush Henrydunan, John Buulolo, Fatizanolo Chairunisah Chairunisah, Chairunisah Damayanti, Elok Daulay, Nurfitri Humayro Defiyanti, Aqilah Dessi Mufti, Dessi Diah Retno Wahyuningrum Dian Septiana DIdi Febrian Dly, Revidamurti Dobry Sianipar, Freyro Domini, Gracia Edy Surya Effendy, Fachriz Eko Gani PG Eri Widyastuti Faradhilla, Anatasia Fatahillah, Fatahillah Ferdy Saputra Fitria, Amanda Gulo, Lirana Sapriani Hadi Iskandar HAFIS, AL Hafiz, Alfin Haikal Al Majid, Muhammad Hanafi, Revo Hani, Aulia Hasangapon Perapat, Gerhard Herinawati, Herinawati Herinawaty, Herinawaty Hermawan Syahputra Hidayat Hidayat Hidayatul Arifin, Muhammad Hidayatullah, Putra Hutapea, Risca Octaviani Hutapea, Risca Octaviyani Hutasuhut, Addiestya Rosa Illahi, Ridho Pratama Impana Manik, Kristin Insan Taufik Irya Shakila Syukron, Ananda Jamidi, Jamidi John Pardamean Hutabarat, Felix Juli Rachmadani khatulistiwa, jamrud Khoiri Nasution, Aurela Kuraini, Atifa Nuzulul Kurnia Putri, Ade Lubis, Hafiz Khalik Lubis, M. Revano Ananda Lubis, M. Shadri Ismaun MANSUR AS Manullang, Sudianto Marpaung, Faridawaty Maulana, Bintang Mirzazoni, Mirzazoni Muhammad Nasir Muhibuddin Muhibuddin, Muhibuddin Muthmainnah, Inna Nabila, Rinjani Cyra Napitupulu, Rusmawanty Nasuiton, Aurella Nasution, Ari Endra Nasution, Muhammad Dana Ananda Putra Ndruru, Albert Servant Nicolas, Jogi Nila Sari Nisja, Indra Niska, Debi Yandra Nulhakim, Putri Aisyah Nur Aksa, Fauzah Nurarafah, Nurarafah Nuribadah, Nuribadah Pakpahan, Muhammad Yusuf Parapat, Gerhard Hasangapon Payana, Sandi Dwi Prang, Amrizal J. Pulungan, Zakiy Maulana Putri, Amelia Rahmatillah, Rahmatillah Rahmawati, Devit Ramadhan Manik, Albert Ramadhan, Teguh Reskya Ramadhani, Fanny Ramdhani, Fanny Rezeki, Citra Mahara Ridal, Yani Rika, Rika Rinawati Riska Amelia Romi Asmara Rumahorbo, Daniel Rumapea, Kiki Nurpitasari Said . Iskandar Saragih, Vinny Ramayani Satria, Iman Sianturi, Micahel Dolly Sihombing, Jeremia Jordan Silalahi, Niken Adelina Silfitri, Yunia Simamora, Elmanani Simanjuntak, Ferdyanto Abangan Sinaga, Marlina Setia Sinaga, May Rani Tabitha Siregar, Latifah Sitohang, Daniel Sitorus, Gabriel Fernando Sri Dewi Sri Mulyana Sriwahyuni, Yeni Sulaiman Sulaiman Suryani, Nita Syahri, Alfin Syifa Cendikia, Yolanda Tampubolon, Bungaria Tampubolon, Josua Deo Tarigan, Febry Vista Kristen Tri Widya Kurniasari Triana, Dinie tumangger, silfia Tymoty Hutabarat, Peter Wahyu Pratama, Rangga Wahyudi, Rizky Warjaya, Angga Yati Putri, Suci Rahmadini Yazid Noor, Muhammad Yulita Molliq Rangkuti Yusrizal Yusrizal Zoni, Mirza Zulfadli Zulfadli Zulfadli Zulfadli Zulfahmi Indra, Zulfahmi