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All Journal Teknika Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Building of Informatics, Technology and Science Vocatech : Vocational Education and Technology Journal JOURNAL OF INFORMATICS AND COMPUTER SCIENCE G-Tech : Jurnal Teknologi Terapan Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) JINAV: Journal of Information and Visualization Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology ARRUS Journal of Engineering and Technology Instal : Jurnal Komputer Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Ilmu Komputer dan Informatika TECHSI - Jurnal Teknik Informatika Jurnal Teknologi Terapan and Sains 4.0 MEUSEURAYA : JURNAL PENGABDIAN MASYARAKAT Jurnal Malikussaleh Mengabdi Journal of Advanced Computer Knowledge and Algorithms Jurnal Pengabdian Masyarakat Ilmu Komputer Serambi Engineering JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Lidya Rosnita
Universitas Malikussaleh
Religion 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 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 Physics Public Health Social Sciences Transportation Other

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Futsal Field Selection Application Using Mobile-GIS and GPS with Dijkstra's Algorithm Method (Lhokseumawe City Case Study) Triandi, Rahmat; Asrianda; Rosnita, Lidya
ARRUS Journal of Engineering and Technology Vol. 2 No. 1 (2022)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech672

Abstract

Futsal field rental is a business engaged in the field of community service in the field of futsal sports. Currently in lhokseumawe city there are 10 futsal fields located in various places, ranging from around campus, office areas, to densely populated settlements. This resulted in many of the people who do not know the location of the futsal field and also the nearest route that can be passed. So it takes an application that can provide information on the futsal field in lhokseumawe city along with the nearest route that can be passed. Determining the nearest route passed to the location of the futsal field can only be done on nodes that have been defined by the system. Dijkstra's algorithm was chosen because it operates thoroughly against existing nodes, and generates the shortest trajectory of all nodes so that it will produce the nearest route optimally. To test the accuracy of the nearest route the results of dijkstra algorithm implementation are used another software that is quantum GIS. This is done to see if the resulting path is correct. From the test results obtained the path obtained is the same as quantum GIS calculations with a similarity value of 100%. Black box testing is used to test the functionality of the menus in the system, and the test results in terms of the functionality of the menus on the system run as desired and run well. The system is good to use.
PELATIHAN PERAKITAN DAN INSTALASI KOMPUTER UNTUK SANTRIWAN/SANTRIWATI DI DAYAH TERPADU SYAMSUDDHUHA ACEH UTARA Zara Yunizar Zainal; Bustami Bustami; Lidya Rosnita; Rini Meiyanti; Fasdarsyah Fasdarsyah
RAMBIDEUN : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2022): Rambideun: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Al Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/pkm.v5i1.866

Abstract

Along with development of globalization era, world of Information and Communication Technology is also growing rapidly and it has become a primary need for many people, including students. By applying information and Communication Technology, a process and activity can be carried out more quickly, easily and efficiently. Therefore, mastery of communication technology devices needs to be taught to students in Islamic boarding schools or dayah. Community service is an effort of Malikussaleh University to contribute in science and technology to the students. Purpose of the service is to provide training on computer assembly and installation to Santriwan/Santriwati at Syamsuddhuha Integrated Dayah. This training is expected to provide students with provisions regarding computer assembly and installation. Outcomes of this activity are: (1) The student is able to know each function of computer assembling and installing, and (2) participants have the ability to understand computer and its components.
Futsal Field Selection Application Using Mobile-GIS and GPS with Dijkstra's Algorithm Method (Lhokseumawe City Case Study) Rahmat Triandi; Asrianda; Lidya Rosnita
ARRUS Journal of Engineering and Technology Vol. 2 No. 1 (2022)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech672

Abstract

Futsal field rental is a business engaged in the field of community service in the field of futsal sports. Currently in lhokseumawe city there are 10 futsal fields located in various places, ranging from around campus, office areas, to densely populated settlements. This resulted in many of the people who do not know the location of the futsal field and also the nearest route that can be passed. So it takes an application that can provide information on the futsal field in lhokseumawe city along with the nearest route that can be passed. Determining the nearest route passed to the location of the futsal field can only be done on nodes that have been defined by the system. Dijkstra's algorithm was chosen because it operates thoroughly against existing nodes, and generates the shortest trajectory of all nodes so that it will produce the nearest route optimally. To test the accuracy of the nearest route the results of dijkstra algorithm implementation are used another software that is quantum GIS. This is done to see if the resulting path is correct. From the test results obtained the path obtained is the same as quantum GIS calculations with a similarity value of 100%. Black box testing is used to test the functionality of the menus in the system, and the test results in terms of the functionality of the menus on the system run as desired and run well. The system is good to use.
Development of Web-Based Tracer Alumni Information System Lidya Rosnita; Yesy Afrillia; Rizky Putra Fhonna; Ulva Ilyatin
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 2, No 2 (2021)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v2i2.7845

Abstract

An alumni tracer is a graduate trace study or alumni trail, conducted to students after graduation. Tracer alumni aim to know the outcome of education in the form of transition from the world of college education to the world of work.In writing this practice work report the author conducts an analysis using field studies and literature studies on the alumni data collection system at the Faculty of Social and Political Sciences Malikussaleh University which is still done manually, so that the author decided to build a web-based Tracer Alumni information system that can facilitate the tracking of graduating students, tracer alumni system can also be one of the support for credit the college.This system is designed using PHP/Xampp programming language by using structured diagrams, namely with Context Diagram, Data Flow Diagram (DFD), Entity Relationship Diagram (ERD) and database design using MySQL.
SISTEM PENGENALAN NAGHAM ADZAN MELALUI SUARA MENGGUNAKAN METODE DISCRETE WAVELET TRANSFORM (DWT) DAN MELLIN TRANSFORM Rizal Rizal; Lidya Rosnita; Ikramina ikramina
TECHSI - Jurnal Teknik Informatika Vol 10, No 2 (2018)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v10i2.908

Abstract

Adzan dan Iqamah menjadi penanda waktu masuknya melaksanakan rukun islam yang kedua. Ketika muazzin mengumandangkan azan pada waktu-waktu tertentu dengan suara yang merdu dengan ciri khas nagham yang berbeda-beda.Nagham adalah kata yang berasal dari bahasa Arab yang artinya lagu/irama. Kata nagham yang akhirnya kemudian dirangkai dengan Al-Qur’an menjadi nagham Al-Qur’an yang artinya melagukan Al-Qur’an, bisa juga disebut dengan Tahsin As-Shout dalam membaca Al-Qur’an (membaguskan suara dalam membaca Al-Qur’an). Banyak masyarakat yang belum mengetahui jenis-jenis nagham yang sering digunakan oleh muazzin dan sangat disayangkan kejadian seperti ini terjadi pada beberapa remaja bahkan sebagian orang dewasa yang belum paham tentang nagham itu sendiri. Hal tersebut yang menjadikan penulis tertarik untuk membuat  sebuah sistem yang dapat mengenali nagham apa yang digunakan saat adzan melalui sample suara adzan yang kita masukkan. Sistem ini memudahkan kita dalam belajar jenis nagham adzan, maka dari itu penulis tertarik mengambil judul Pengenalan Nagham Adzan Melalui Suara Menggunakan Discrete Wavelet Transform dan MellinTransform.Discrete Wavelet Transform dan MellinTransform ini digunakan untuk mencari nilai frekuensi pada sinyal suara.Hasil penelitian menunjukkan bahwa sistem Perbandingan Kinerja Algoritma Discrete Wavelet Transform (DWT)Dan Mellin Transform untuk pengenalan nagham suara adzan, memiliki kisaran true detection untuk algoritma Discrete Wavelet Transform sebesar 73,33% dan Mellin Transform sebesar 80% .
SISTEM PENDETEKSIAN POLA TAJWID PADA CITRA AL-QUR’AN MENGGUNAKAN ALGORITMA BIDIRECTIONAL ASSOCIATIVE MEMORY Lidya Rosnita; Muhammad Zarlis; Syahril Efendi
TECHSI - Jurnal Teknik Informatika Vol 8, No 2 (2016)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v8i2.138

Abstract

Pada umumnya didalam dunia pengolahan citra untuk mengenali sebuah pola dapat diberikan beberapa pelatihan terlebih dahulu. Didalam penelitian ini pendeteksian pola tajwid pada citra Al-Qur’an menggunakan empat pola tajwid iqlab, dengan algoritma Bidirectional Associative Memory yang kemudian akan diukur unjuk kerjanya berdasarkan delapan nilai sensitif yang berbeda. Berdasarkan hasil komplesitas algoritma, sistem pendeteksian pola tajwid pada citra Al-Qur’an menggunakan algoritma Bidirectional Associative Memory memiliki kompleksitas sebesar T(n) =  (n). Hasil penelitian menunjukkan bahwa sistem pendeteksian pola tajwid pada citra Al-Qur’an menggunakan algoritma Bidirectional Associative Memory memiliki kisaran true detection sebesar 72 % hingga 84 %. 
Analisis Sentimen Ciutan Twitter Terkait Penerapan Permendikbudristek Nomor 30 Tahun 2021 Menggunakan TextBlob dan Support Vector Machine Yesy Afrillia; Lidya Rosnita; Deassy Siska; Muzaffar Rigayatsyah; Nurqamarina
G-Tech: Jurnal Teknologi Terapan Vol 6 No 2 (2022): G-Tech, Vol. 6 No. 2 Oktober 2022
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (261.904 KB) | DOI: 10.33379/gtech.v6i2.1778

Abstract

Di era yang serba digital segala aspek penerapan suatu kebijakan oleh pemerintah menjadi topik yang banyak dibicarakan dijejaring media sosial terutama Twitter. Salah satunya topik terkait Penerapan Permendikbud Nomor 30 Tahun 2021. Pada tweet dapat dilakukan analisis sentimen untuk mengetahui tanggapan masyarakat terhadap penerapan Permendikbud PPKS dengan melakukan identifikasi dan mengkategorikan polaritas teks untuk menentukan text tersebut memiliki nilai positif atau negatif. Model sistem bertujuan sebagai evaluasi pihak pemerintah dalam tindaklanjut dari penetapan kebijakan. Pengumpulan data yang diambil dari twitter dengan hash tag kesetaraan gender, kekerasan seksual, dan PPKS berjumlah 159 data. Pembagian data latih dan data uji mengunakan rasio 70:30 secara acak oleh sistem. Untuk data latih digunakan sebanyak 111 data, sedangkan data uji digunakan sebanyak 48 data. Berdasarkan hasil pengujian dengan textblob yang dibantu dengan menggunakan algoritma Support Vector Machine menggunakan data uji sebanyak 48 data dengan 34 data positif, dan 14 data negatif, mendapatkan akurasi sebesar 70,8%.
ANALISIS SENTIMEN PENGGUNA TWITTER TERHADAP ISU KESETARAAN GENDER DALAM PENERAPAN PERMENDIKBUDRISTEK NOMOR 30 TAHUN 2021 MENGGUNAKAN TEXTBLOB Yesy Afrillia; Lidya Rosnita; Deassy Siska
JOURNAL OF INFORMATICS AND COMPUTER SCIENCE Vol 8, No 2 (2022): OKTOBER 2022
Publisher : Ubudiyah Indonesia University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33143/jics.Vol8.Iss2.2386

Abstract

Abstrak— Penetapan Peraturan Menteri Pendidikan, Kebudayaan, Riset, dan Teknologi (Permendikbudristek) Nomor 30 Tahun 2021 tentang Pencegahan dan Penanganan Kekerasan Seksual di lingkungan Perguruan Tinggi (Permendikbudristek PPKS) menjadi solusi atas berbagai kasus kekerasan seksual yang terjadi di lingkup Perguruan Tinggi. Di era yang serba digital segala aspek penerapan suatu kebijakan oleh pemerintah menjadi topik yang banyak dibicarakan dijejaring sosial terutama Twitter. Pada tweet dapat dilakukan analisis sentimen untuk mengetahui tanggapan masyarakat terhadap penerapan Permendikbud Nomor 30 Tahun 2021 yaitu dengan melakukan identifikasi dan mengkategorikan polaritas sebuah teks untuk menentukan apakah sebuah text tersebut memiliki nilai positif atau negatif sesuai dengan kategori yang telah ditentukan. Model sistem bertujuan untuk memberikan manfaat dalam menganalisis tingkat sentiment masyarakat tentang penerapan Permendikbudristek Nomor 30 Tahun 2021 yaitu tentang PPKS sebagai evaluasi pihak pemerintah dalam tindaklanjut dari penetapan kebijakan. Salah satu teknik yang bisa digunakan untuk melakukan analisis sentimen ini dengan Lexicon Based yaitu menggunakan Textblob serta penentuan peresentase keakurasian sistem dengan mengimplementasikan metode Support Vector Machine (SVM). Pengumpulan data yang diambil dari twitter dengan hash tag kesetaraan gender, kekerasan seksual, dan PPKS berjumlah 159 data. Pembagian untuk data latih dan data uji yang dilakukan mengunakan rasio 70:30 secara acak oleh sistem. Dimana untuk data latih yang digunakan sebanyak 111 data, sedangkan data uji yang digunakan sebanyak 48 data. Berdasarkan hasil pengujian dengan textblob yang dibantu dengan menggunakan algoritma Support Vector Machine menggunakan data uji sebanyak 48 data dengan 34 data positif, dan 14 data negatif, mendapatkan akurasi sebesar 70,8%.Kata kunci: Gender, Twitter, Permendikbudristek, PPKSAbstract— The stipulation of Regulation of the Minister of Education, Culture, Research, and Technology (Permendikbudristek) Number 30 of 2021 concerning the Prevention and Handling of Sexual Violence in University (Permendikbudristek PPKS) is a solution to various cases of sexual violence that occur in the scope of University. In the all-digital era, all aspects of implementing a policy by the government have become a topic that is widely discussed on social networks, especially Twitter. Sentiment analysis can be done on tweets to find out the public's response to the application of Permendikbud Number 30 of 2021, namely by identifying and categorizing the polarity of a text to determine whether a text has a positive or negative value according to a predetermined category. The system model aims to provide benefits in analyzing the level of public sentiment regarding the application of Permendikbudristek Number 30 of 2021, namely regarding PPKS as an evaluation of the government in following up on policy determination. One technique that can be used to perform this sentiment analysis with Lexicon Based is using Textblob and determining the percentage of system accuracy by implementing the Support Vector Machine (SVM) method. The collection of data taken from Twitter with the hash tag gender equality, sexual violence, and PPKS amounted to 159 data. The distribution for training data and test data is carried out using a ratio of 70:30 randomly by the system. Where for the training data used are 111 data, while the test data used are 48 data. Based on the test results with textblob assisted by using the Support Vector Machine algorithm using 48 test data with 34 positive data, and 14 negative data, getting an accuracy of 70.8%. Keywords: Gender, Twitter, Permendikbudristek, PPKS
ANALISIS SENTIMEN REVIEW CUSTOMER TERHADAP PERUSAHAAN EKSPEDISI JNE, J&T EXPRESS DAN POS INDONESIA MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM) Nurul Aula; Munirul Ula; Lidya Rosnita
JOURNAL OF INFORMATICS AND COMPUTER SCIENCE Vol 9, No 1 (2023): April 2023
Publisher : Ubudiyah Indonesia University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33143/jics.v9i1.2947

Abstract

Abstrak— Kepuasan customer adalah masalah yang harus diamati pada sebuah perusahaan, karena customer adalah alasan mengapa suatu perusahaan masih berdiri dan sukses. Perusahaan ekspedisi JNE, J&T, dan Pos Indonesia mempunyai akun twitter layanan customer yaitu @Jnecare, @J&texpressid dan @Posindonesia. Akun ini digunakan untuk layanan customer secara online yang disediakan untuk menyampaikan pendapat, kritik, saran atau keluhan pelanggan. Agar dapat mengolah komentar yang banyak tentu membutuhkan waktu yang lebih besar jika hanya dilakukan secara sederhana. Penelitian ini bertujuan untuk menganalisis sentimen perusahaan ekpedisi mana yang lebih unggul dari beberapa layanan jasa ekspedisi, metode yang akan digunakan yaitu metode Support Vector Machine (SVM). Berdasarkan hasil penelitian diperoleh performa tertinggi yaitu pada ekpedisi J&T Express menggunakan algoritma Support Vector Machine menghasikan accuracy sebesar 85%, precision sebesar 59.35%, recall sebesar 58.67%, dan f1-score sebesar 58.01% selanjutnya pada ekpedisi JNE menghasikan accuracy sebesar 82.29%, precision sebesar 54.54%, recall sebesar 55.83%, dan f1-score sebesar 54.97% sedangkan pada Pos Indonesia menghasikan accuracy sebesar 77.78%, precision sebesar 35.9%, recall sebesar 58.67%, dan f1-score sebesar 33.85%. Dari hasil perbandingan ketiga jasa ekspedisi tersebut terbukti bahwa algoritma SVM mampu menghasilkan performa yang tinggi karena tidak memiliki satupun nilai yang tidak wajar baik pada performa accuracy, precision, recall dan F1-Score.Kata kunci: Sentimen, customer, ekspedisi, SVMAbstract—Customer satisfaction is a problem that must be observed in a company, because customers are the reason why a company is still standing and successful. JNE, J&T and Pos Indonesia expedition companies have customer service twitter accounts, namely @Jnecare, @J&texpressid and @Posindonesia. This account is used for online customer service provided to convey opinions, criticisms, suggestions or customer complaints. In order to be able to process a lot of comments, of course it takes more time if it's only done in a simple way. This study aims to analyze which shipping company sentiment is superior to some courier services, the method to be used is the Support Vector Machine (SVM) method. Based on the results of the study, the highest performance was obtained on the J&T Express expedition using the Support Vector Machine algorithm resulting in an accuracy of 85%, a precision of 59.35%, a recall of 58.67%, and an f1-score of 58.01% then on a JNE expedition it produced an accuracy of 82.29%, a precision of 54.54%, recall of 55.83%, and f1-score of 54.97% while Pos Indonesia produced an accuracy of 77.78%, precision of 35.9%, recall of 58.67%, and f1-score of 33.85%. From the results of the comparison of the three shipping services it is proven that the SVM algorithm is capable of producing high performance because it does not have any unreasonable values in terms of accuracy, precision, recall and F1-Score performance. Keywords: Sentiment, customer, expedition, SVM
SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN PEMINATAN SISWA SMA MENGGUNAKAN METODE MOORA Fadlisyah Fadlisyah; Lidya Rosnita; Mara Wahyu Alamsyah Pane
JOURNAL OF INFORMATICS AND COMPUTER SCIENCE Vol 9, No 1 (2023): April 2023
Publisher : Ubudiyah Indonesia University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33143/jics.v9i1.2945

Abstract

Penentuan peminatan pada SMA merupakan salah satu cara untuk meningkatkan pendidikan yang ada di indonesia, dan bertujuan agar siswa memperoleh pendidikan sesuai dengan bakat dan kemampuan yang dimilikinya. Metode Multi-Objective Optimization on The Basic of Ratio Analysis (MOORA) digunakan untuk menentukan peminatan dikarenakan mempunyai tahap selektifitas yang baik dalam mempusatkan suatu alternatif, dan mempunyai perhitungan dengan kalkulasi yang minimum dan sangat sederhana. Perhitungan penentuan peminatan ini, mengggunakan nilai kepentingan yang diambil dari nilai mata pelajaran setiap siswa. sehingga hasil yang didapatkan setiap siswa berupa pengelompokan pembagian peminatan yang sesuai dengan minat dan kemampuannya. Peminatan yang dibagi kedalam peminatan IPA dan peminatan IPS. Metode MOORA mempunyai fleksibilitas dan kemudahan untuk dipahami dalam membagi bagian subjektif suatu tahap evaluasi kedalam kriteria. Tahapan penelitian ini, melakukan penelitian dengan mengambil data dari pihak sekolah, dan melakkukan konsultasi pada pihak staff sekolah, dari beberapa data yang didapatkan, diambil 30 data siswa yang telah dilakukan perhitungan pada sistem ini, diantaranya diperoleh 16 siswa peminatan IPA, dan 14 siswa peminatan IPS. Sistem ini dibuat agar dapat membantu dan mempermudah pihak staff sekolah menentukan peminatan yang sesuai dengan alternatif yang tertera, dan diharapkan sistem ini dapat memberikan efisiensi pada pihak staf sekolah untuk mendapatkan hasil yang akurat secara komputerisasi.Kata kunci: Peminatan, Mata Pelajaran, MOORADetermining specialization in high school is one way to improve education in Indonesia and aims to ensure that students get an education according to their talents and abilities. The Multi-Objective Optimization on the Basics of Ratio Analysis (MOORA) method is used to determine interest because it has a good level of selectivity in centering an alternative and has calculations with minimum and very simple calculations. The calculation for determining this specialization uses the importance value taken from the subject value of each student. so that the results obtained by each student are in the form of grouping the distribution of specializations according to their interests and abilities. The specializations are divided into science specializations and social studies specializations. The MOORA method has flexibility and ease of understanding in dividing the subjective part of an evaluation stage into criteria. The stages of this research, carried out research by taking data from the school, and carrying out consultations with school staff, from some of the data obtained, 30 student data were taken which had been calculated on this system, including obtained 16 students specializing in natural sciences, and 14 students specializing in IPS. This system was created in order to make it easier for school staff to determine specializations that match the alternatives listed, and it is hoped that this system can provide efficiency for school staff to get computerized, accurate results.Keywords: Specialization, Subjects, (MOORA)   
Co-Authors Afif, Muhammad Athallah Afridah, Rita Aidilof, Hafizh Al Kausar Aidilof, Hafizh Al Kautsar Amelia, Ulva Andrea Micola Azwir Ansyari, Taufik Habib Armaya, Devira Yuda Asrianda Asrianda Azzahra Iskandar, Farah Bancin, Udurta Bustami Bustami Bustami Dahlan Abdullah Deassy Siska Dela, Monisa Dian Putri, Yohana Efendi, Syahril Efendi, Syahril Elma Fitria Ananda Eva Darnila Eva Darnila Fadlisyah Fadlisyah Fasdarsyah Fasdarsyah Fidyatun Nisa Fuadi, Wahyu Furqan, Hafizul Habib Muharry Yusdartono Hafidh Rafif, Teuku Muhammad Hafizh Al Kautsar Aidilof Hamsi, Widia Harahap, Ilham Taruna Harahap, Lina Mardiana Haris Yunanda Rangkuti Ikramina ikramina ikramina, Ikramina Jange, Beno Kurniawati Kurniawati Kurniawati Kurniawati Lina Mardiana Harahap Mara Wahyu Alamsyah Pane Muhammad Azhari Muhammad Fajri Muhammad Fajri Muhammad Fikry Muhammad Ikhwani Muhammad Muhammad Muhammad Zarlis Muhammad Zarlis, Muhammad Mukti Qamal Mulyadi, Rizki Munirul Ula Muzaffar Rigayatsyah Nanda Sitti Nurfebruary Nasution, Wahidatunnisa Naturizal, Rayhan Naza Amarianda Nurfebruary, Nanda Sitti Nurhaliza Bin Aras Nurqamarina Nurul Aula Pasaribu, Hafni Maya Sari Pratiwi, Dinda Pulungan, Fauzi Irham Putri, Sri Raihan Rachman, Aulia Rachmat Triandi Tjahjanto Rahmadani Sari, Putri Dwi Rahmat Triandi Rangkuti, Haris Yunanda Rian Kelana Putra Rini Meiyanti Risawandi, Risawandi Rizal Rizal Rizal Rizal Rizal S.Si., M.IT, Rizal Rizky Putra Fhonna Safwandi Safwandi, Safwandi Said Fadlan Anshari salamah salamah Samosir, Dini Kairiyah Saputri, Rifa Andriani Siti Maimunah Sujacka Retno Syahputra, M Oriza Ulva Ilyatin Wahyu Fuadi Yesy Afrillia Zara Yunizar Zulfadli Zulfadli