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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) JURNAL PENGABDIAN KEPADA MASYARAKAT Sinkron : Jurnal dan Penelitian Teknik Informatika Tech-E RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Nizhamiyah JurTI (JURNAL TEKNOLOGI INFORMASI) Query : Jurnal Sistem Informasi Zero : Jurnal Sains, Matematika, dan Terapan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) Jurnal Teknologi Sistem Informasi dan Aplikasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Journal on Education JOURNAL OF SCIENCE AND SOCIAL RESEARCH Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Kridatama Sains dan Teknologi Jurnal Ilmu Komputer dan Bisnis Aisyah Journal of Informatics and Electrical Engineering Jatilima : Jurnal Multimedia Dan Teknologi Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Brahmana : Jurnal Penerapan Kecerdasan Buatan MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH JINAV: Journal of Information and Visualization Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Responsif : Riset Sains dan Informatika Journal La Multiapp Jurnal Abdi Mas Adzkia Fitrah: Journal of Islamic Education KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Information Technology (JIfoTech) Instal : Jurnal Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Journal of Dinda : Data Science, Information Technology, and Data Analytics International Journal Software Engineering and Computer Science (IJSECS) Journal of Computer Science and Informatics Engineering sudo Jurnal Teknik Informatika Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Nasional Teknologi Komputer Journal of Computers and Digital Business Sewagati: Jurnal Pengabdian Masyarakat Indonesia DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science Cosmic Jurnal Teknik
Ilka Zufria
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Sistem Pendukung Keputusan Dalam Menentukan Kelayakan Bantuan Dana Hibah Fasilitas Rumah Ibadah Menggunakan Metode AHP Raisyah, Shafira Isra; Zufria, Ilka; Triase, Triase
TIN: Terapan Informatika Nusantara Vol 5 No 3 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i3.5558

Abstract

In 2022, the application for grants for houses of worship in North Sumatra has reached 4,857 applicants and houses of worship have received funds of 1,341 recipients. With the number of applications for grants for houses of worship are very high each year, the fact that there is still a shortage of human resources in the implementation of the grant and the funds provided are also not too large. This has caused many houses of worship to be abandoned, applicants for funds are seen competing in obtaining these funds and also cause an unbiased assessment of houses of worship such as the influence of people you already know or so on. It is necessary to use a decision support system, which will make it easier for leaders to make decisions which houses of worship should be immediately given grants and are expected to be on target in choosing them. The research conducted by the author aims to build a website decision support system using the AHP method with the problem of determining the feasibility of Grant Aid House of worship facilities. The results of the decision can give consideration to officials in determining houses of worship that are eligible to receive funds. The result of the research are that there are 5 criteria that will be used, namely proposed funds, cost details, the house of worship, year of establishment of the House of worship, condition of and the level routine of the house of worship. Based on research, the best alternative is Gereja Pantekosta di Indonesia Jemaat Filadelfia Sait Buttu with a total of 0.17 and the lowest score is HKBP Distrik V Sumatera Timur Resort Tiga Dolok Palia Putar with a total of 0.08.
ABA DOA (Android-Based Attendance for D-III Accounting Lecturers) Using the USU Vocational Faculty Location Authorization Feature Machfudz, Emir Syarif; Sinaga, Annisa Fitri; Zufria, Ilka; Syarif, Firman
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 1 (2024): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/abdimastalenta.v9i1.15457

Abstract

Abstract This research details the development of Android-based Attendance Application for D-III Accounting Lecturers (ABA DOA) using Appsheet platform and utilizing LATLONG() and DISTANCE() functions for location validation. The development method applied is Rapid Application Development (RAD). ABA DOA provides convenience for lecturers with a self-photo feature as proof of validation, while integrating GPS and Google Maps to validate the location of attendance. The application results show efficiency in academic management with an optimal level of security. The LATLONG() function is used to determine the location coordinate point, while DISTANCE() is used to measure the distance between the authorized coordinate point and the attendance location. This research highlights the importance of technological innovation in supporting academic activities and campus management. The conclusion of this research is that ABA DOA successfully optimizes the attendance process with a high level of validation and security, making a positive contribution to the efficiency and effectiveness of study program management.
Penerapan Metode TOPSIS Dan SAW Dalam Menentukan Penerimaan Anggota OSIS Baru Zufria, Ilka; Suhardi, S; Farentika, Yosi
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 1 (2023): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i1.288

Abstract

Along with the times, computer technology has increasingly developed its use and is widely used in various fields such as in the fields of health, automotive, economics, education and so on. The rapid development of technology provides many conveniences in solving problems and satisfying work demands for human life. One of the uses of information technology has been implemented in schools. The Intra-School Student Organization (OSIS) is an organization at the school level in Indonesia, starting from junior high school (SMP) and high school (SMA). The Student Council is taken care of and managed by students who are selected to become the Student Council committee. Currently, to accept new student council members, it is only determined by the student council president and several teachers. The assessment process tends to be subjective, so it is not fair. To solve these problems, a decision support system can be applied. with the current development of information technology this research will develop a system that can determine the acceptance of new student council members and apply decision support system techniques using the TOPSIS and SAW algorithms. The research objectives put forward in solving the problem are as follows. Determination of acceptance of OSIS members using the TOPSIS and SAW methods. Designing an application for accepting OSIS members using the TOPSIS and SAW methods using the PHP programming language system and MySQL database.
SISTEM PENDUKUNG KEPUTUSAN PENILAIAN BUS TERBAIK DENGAN MENGGUNAKAN METODE AHP DAN METODE TOPSIS Daulay, Darisma; Zufria, Ilka; Suhardi, Suhardi
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 15 No. 2 (2024): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i2.867

Abstract

Penilaian merupakan suatu proses yang dilakukan untuk memperoleh informasi yang diperlukan dalam mengambil keputusan tertentu. Namun, masyarakat sering mengalami kesulitan dalam memilih bus. Tujuan dari penelitian ini adalah untuk mengatasi masalah tersebut dengan menggunakan sistem pendukung keputusan yang menggabungkan metode AHP dan TOPSIS. Pendekatan ini telah terbukti meningkatkan p terhadap bus. Sistem pendukung keputusan berbasis web ini bertujuan untuk membantu masyarakat dalam memilih moda transportasi sesuai dengan kebutuhan mereka. Hasil penelitian menunjukkan bahwa penilaian terhadap bus merupakan masalah utama, dengan tingkat kejadian tertinggi mencapai 0,7494 yang memilki nilai oleh bus PT. NPM Medan. Pada penelitian ini memiliki 4 kriteria yaitu waktu perjalanan, keamanan, biaya/harga dan kemudahan. Penelitian ini memiliki 12 alternatif yaitu bus CV. Kota Pinang Baru, PT. Barumun, CV. Batang Pane Baru, PO. Medan Jaya, PT. Sentosa Intra, PT. Chandra, Bilah Pane Putra, Putra Melayu, PT. Rapi, PT. NPM Medan, Eldivo dan PT. ALS (Antar Lintas Sumatera). Diharapkan penelitian ini dapat memberikan kontribusi yang signifikan bagi masyarakat dalam memilih moda transportasi yang tepat serta memberikan informasi yang berharga bagi lembaga Terminal Amplas Medan.
The Application of the FMADM Electre Algorithm in Diagnosing the Level of Drug Addiction in Adolescents Muchain, Alfira Nafhan; Zufria, Ilka; Fakhriza, M.
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5151

Abstract

Drug abuse among adolescents was difficult to identify early without official examinations, while manual methods were often inaccurate. The process of determining rehabilitation also faced challenges due to the lack of technology-based support systems capable of effectively analyzing the level of addiction and type of drug used, resulting in rehabilitation that was often not well-targeted. To address this issue, the algorithm was utilized to diagnose drug addiction in adolescents by providing scores or rankings indicating addiction levels: scores of 1 and 2 represented mild addiction, 3 and 4 indicated moderate addiction, and 5 or higher represented severe addiction. The FMADM-ELECTRE algorithm recommended various types of rehabilitation actions for recovery. It offered precise evaluation ranges and scores, simplifying the classification and determination of appropriate detoxification measures for each type of drug-addicted adolescent. This system classified three levels of drug addiction among adolescents, corresponding to three stages of rehabilitation for drug addicts: non-medical (social) rehabilitation, medical rehabilitation (detoxification), and aftercare (post-rehabilitation). Additionally, the web-based support system was designed to be accessible across various devices, including laptops, computers, tablets, and smartphones, facilitating quicker and more efficient decision-making for relevant institutions. This approach also integrated multi-criteria methods to ensure fairness and accuracy in analysis, supporting a comprehensive rehabilitation process.
Diving Into Public Sentiments: SVM-Based Analysis of Water Service Opinions Hasugian, Aldi Ridwansyah; Zufria, Ilka
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5231

Abstract

Customer satisfaction is a crucial measure of a company's success, particularly for service-oriented businesses such as regional water utilities. In the case of PDAM Tirta Nauli Sibolga, key service aspects including pricing, water quality, water flow, and responsiveness to customer complaints significantly influence customer satisfaction. Despite ongoing efforts to provide quality services, challenges in areas such as water quality, quantity, and customer communication persist, leading to lower satisfaction levels among consumers. This study seeks to evaluate the implementation of regional regulations related to company management and clean water services, with a focus on improving service quality. Additionally, it applies the Support Vector Machine (SVM) algorithm to perform sentiment analysis of public opinions regarding the company's services. The analysis yielded an impressive accuracy of 98%, with precision, recall, and F1-score values consistently above 90%, indicating a high level of effectiveness in sentiment classification. By leveraging the results of this sentiment analysis, PDAM Tirta Nauli can gain valuable insights into the issues facing the community and implement targeted improvements. Ultimately, this research aims to provide a comprehensive evaluation of customer satisfaction and offer actionable recommendations to enhance service quality, ensuring better customer experiences and supporting the overall development of the region.
Penerapan Metode Analytical Hierarchy Process(AHP) dan Promethee II dalam Rekomendasi Kelayakan Calon Pengurus Himpunan Mahasiswa Jurusan Syafrida, Desy; Zufria, Ilka
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.37964

Abstract

Student organizations are an interpretation of organizations that accommodate students in carrying out and developing their roles. The benefits of organizations for students include as a forum for honing soft skills, fostering a sense of concern for the social environment, and increasing student selling points as provisions to support the future. One of the student organizations at the university is the Department of Student Association. The problem that often occurs in major student associations is selecting potential new members who determine the success of the association in the future. So a decision is needed in selecting the existing criteria as the best prospective member who will be selected as a new member or who has high loyalty to the student association of one's own department. However, during the selection process for selecting the best member candidates, the department's student association experienced difficulties because there were so many candidates to be selected. The author conducted research and combined two methods, namely Analytical Hierarchy Process (AHP) and Promethee II. This merger aims to overcome the problem of determining the criteria for the best administrator candidates in the UINSU Computer Science Department Student Association. Next, the author will build a decision support application that makes it easier to process data, compare criteria, and produce the best alternative. Overcoming the problem of criteria for being the best candidate for major student association administrators, namely by combining the Analytical Hierarchy Process (AHP) method in collaboration with the Promethee II method. To test the criteria and eligibility for prospective administrators of the UINSU computer science student association. Design and build applications that can support decisions with several conflicting criteria and alternatives that will produce the greatest value which will later be selected as the best alternative. Decision support system and makes it easy to select recommendations for the suitability of candidates for departmental student association management. The selection results are obtained from the alternative results with the highest final value. The system that has been built can be used by UINSU, so that UINSU can select prospective association administrators as departmental student association administrators.
Implementasi Text Mining Dalam Penentuan Kinerja Layanan Antara Grab dan Gojek Berdasarkan Opini Masyarakat Menggunakan LDA Syapira, Tiwi; Zufria, Ilka
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4833

Abstract

Public transportation is currently based on applications and the internet, so it is called online transportation. Grab and Gojek are two online transportation service providers who want to provide the best service. Users provide responses, experiences, criticism and suggestions via Twitter. This research will use the LDA algorithm to map topics that users frequently discuss regarding Gojek and Grab. Latent Dirichlet Allocation (LDA) is an unsupervised learning algorithm used to detect topics in a collection of text documents. LDA assumes that each document consists of a mixture of several topics, and that each topic consists of a probability distribution over words. LDA works by modeling the generative process of documents. This process begins by selecting a topic for the document, then selecting words from that topic. The probability of selecting certain topics and words is determined by parameters learned from the data. Data was obtained via Twitter with the keywords "#grabid" and "#gojekindonesia". From the research results, it was found that the best topic mapping results for Gojek objects were 2 topics, namely promotions and orders. Meanwhile, Grab objects are divided into 4 topics, namely communication, transactions, orders and orders
Classification of Lung TB Levels by Region in Medan City Using Logistic Regression Algorithm Purnamawati, Sri; Zufria, Ilka
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 4 (2025): Agustus 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i4.8914

Abstract

The Indonesia Smart Program is a cash assistance for education aimed at elementary, middle, and high school students aged 6-21 who come from underprivileged families. In the selection process for prospective recipients of the Indonesia Smart Program at SMA Negeri 1 Kutalimbaru, several problems arose due to the still conventional data processing. This issue is primarily caused by technological limitations and the absence of a computerized system to process that data. As a result, the process is time-consuming and prone to high error rates. Therefore, a computer-based system is needed to assist in the Recommendation of Prospective Recipients of the Indonesia Smart Program. In this study, a combination of two methods was used, namely the Rank Order Centroid (ROC) method for criterion weighting and Additive Ratio Assessment (ARAS) for ranking. Based on the tests conducted on 180 data of students eligible to receive the Program Indonesia Pintar at SMA Negeri 1 Kutalimbaru, the ranking results established Restu (A142) in the first position as the most recommended Candidate Recipient of the Program Indonesia Pintar with a final score of “1”, with criteria including having a KIP Card “Yes”, having a KKS Card “Yes”, being an orphan “Orphan”, number of dependents “2”, parental income “No Income’. Thus, the ROC and ARAS methods prove to be suitable in assisting decision-making for recommendations for Candidates to Receive the Program Indonesia Pintar.
IMPLEMENTASI ALGORITMA C5.0 UNTUK MEMPREDIKSI KETERLAMBATAN PEMBAYARAN SUMBANGAN PEMBANGUNAN PENDIDIKAN PADA SMP SWASTA AN-NAAS BINJAI Nurhasanah, Mutia; Zufria, Ilka
JISTech (Journal of Islamic Science and Technology) Vol 9, No 1 (2024)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jistech.v9i1.21499

Abstract

Pengelolaan keuangan yang efisien merupakan aspek penting dalam keberhasilan operasional lembaga pendidikan, terutama terkait pembayaran Sumbangan Pembangunan Pendidikan (SPP). Keterlambatan pembayaran SPP dapat mengganggu arus kas sekolah dan menimbulkan masalah administratif. Penelitian ini bertujuan mengembangkan dan mengimplementasikan Algoritma C5.0 untuk memprediksi keterlambatan pembayaran SPP di SMP Swasta An-Naas Binjai. Algoritma C5.0 dipilih karena kemampuannya mengolah data kompleks dan menghasilkan model prediksi yang mudah dipahami. Hasil evaluasi menunjukkan bahwa Algoritma C5.0 mampu memberikan tingkat akurasi sebesar 85%, dengan precision 88.89% dan recall 94.12%. Ini menandakan efektivitas algoritma dalam memprediksi keterlambatan pembayaran SPP serta keandalannya sebagai alat bantu pengelolaan keuangan sekolah. Penelitian ini juga menghasilkan sistem yang diharapkan dapat meningkatkan efisiensi pengelolaan keuangan dan memberikan wawasan lebih baik mengenai faktor-faktor yang mempengaruhi keterlambatan pembayaran SPP
Co-Authors Abdul Halim Hasugian Abdul Rasyid Adnan Buyung Nasution Afira Zulfa Afriani Afriani Agung Hamdika Surya Aidil Halim Lubis Aidil Halim Lubis Aidil Halim Lubis Aila Oktavia Abdul Nst Alfahri, Bagus Ageng Alfiansyah, Raja Alfin Budiman Sihotang Ali Ikhwan Ali Ikhwan Amri, M Choirul Aninda Muliani Anjani, Retno Anwar Fauzi Apriani Syahputri Aprilia, Nia Arfina Handayani Armansyah Armansyah Armansyah Atiqi, Muhammad Farros Aulia, Muhammad Fathir Batubara, Qisti Azraladiba Ba’ayesh, Mubarak Beni Frandian Bimantara, Muhammad Dhuha Buyung Satrio Dasopang Buyung Satrio Dasopang Chairul Rizal Chintya Anggraini Cindy Juliani Cindy Novi Syahputri Danang Wahyu Wicaksono Darsih, D Daulay, Darisma dedi irawan Desmi Roma Putra Lubis Dimas Arya Dimas Arya Dinda Ayu Ningsih Dion Wirayuda Bahri Dollar, Dzulfikri Akbar Edilia, Fazila Nazifa Efriliya Hafni Yuswinda Erwin Nasution Fachri, Barany Fadila, Daffa Fadilla, Nurul Fahmi Dian Pratama Fahrizal Alwafi Chandra Susi Syafriana Barus Fakhriza, M Fakhriza, M. Farentika, Yosi Firman Syarif Fitri, Wan Ilia Gilang Reynabil Gina Sania Habib Asy Muhyi Hafiz Fawi Anugerah Harahap, Parlindungan Harry Setiawan Hasugian, Aldi Ridwansyah Hazizah Ulfa Nasution Heri Santoso Heri Santoso Herman, Bintang Kurniawan Ibnu Rusydi Idris Siregar, Idris Ilham Maulana Ritonga Intan Saleha Tinendung Irawati, Cici Iskandar, Isna Damaiani Ismail Husein, Ismail Juliani, Cindy Kesuma, Beny Khairani, Melvika Kherina Surya Ningsih M Fakhriza M Fakhriza M Ferdiansah Rkt M Taufiq Rachman Siregar M. Fakhriza M. Fakhriza M. Ihsan Lubis Machfudz, Emir Syarif Mardiah Ramadhani Marini Maulana, Rexa Mhd Ikhsan Rifki Mhd. Syahnan Muchain, Alfira Nafhan Muhamad Alda Muhammad Arif Suhada Muhammad Dedi Irawan Muhammad Eka Muhammad Iqbal Nahwi Muhammad Nabhan Akbar Marpaung Muhammad Reyhandi Akbar Muhammad Siddik Hasibuan Muhammad Syahputra Novelan Muhammad Zulfikar Lubis Nasution, Muhammad Irwan Padli Nia Aprilia Nst, Aila Oktavia Abdul Nst, Khusnul Khotimah Nur Hasanah Pohan Nur Nofrizal Agustina Srg Nurainun Syahdia Nurhasanah, Mutia Nurul Fadhillah Nurul Fikria Okta Yuliardi Pandi Ahmad Jawara Pradana, Riski Ananta Pratama, Bagus Aji Purba, Ony Hizri Kaifa Purnamawati, Sri Putra, Fahrialdy Febriansyah Ragilia Putri Dinanti Raissa Amanda Putri Raisyah, Shafira Isra Rakhmat Kurniawan R Ramadani, Suci Adina Ramadhan, M Irsyad Rambe, M. Riski Andika Rambe, Rinanda Putri Rani, Putri Meuthia Rendy Andika, Rendy Revina Putri Damayanti Reza Adhitya Budiman Rina Afriani Sitorus Rini Halila Nasution Rio Rinaldi Risky, Tengku Tanzil Azhari Riswandi Riswandi Riswandi, Arif Rita Sari Dewi Rizky, Ishlahiyah Nur Rkt, M Ferdiansah Roy Surya Fikriadi Samsudin Samsudin Samsudin, Samsudin Sari, Silvia Sarmila Sarmila Sephia, Putri Aisyah Septiana Dewi Andriana, Septiana Dewi Shania Oktawijaya Simanjuntak, Salmah Simbolon, Zianah Nafisah Sinaga, Annisa Fitri Siti Sarah, Siti Siti Septia Febiyaula Sitorus, Dhafa Hibrizi Sitorus, Nur Shafwa Aulia Sitorus, Puan Syaharani Sitorus, Rina Afriani Sriani Sriani Suendri Suendri Suendri, Suendri Suhardi Suhardi Suhardi Suhardi, S Suhardi, Suhardi Sulindawaty Sulindawaty Supiyandi Supiyandi Surbakti, Miftah Hadi Syafitri, Febry Dwi Syafrida, Desy Syapira, Tiwi Talita, Friza Tanjung, Erti Belastari Tanjung, Siti Maya Sari Triase Triase Triase Triase, Triase Ulfia Zahra Utomo, Imam Wahyu Rahmansyah Wahyudi Wahyudi Wardani, Dina Ayu Winny Wiyandari Wiranda Wiranda Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zaim Izza Makarim Zebua, Jelita Rahmah