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All Journal Teknika Jupiter SITEKIN: Jurnal Sains, Teknologi dan Industri CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah KOMPUTASI Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Khatulistiwa Informatika IJIS - Indonesian Journal On Information System Jurnal Mantik Penusa Jusikom : Jurnal Sistem Komputer Musirawas Rang Teknik Journal Jurnal Teknik Informatika UNIKA Santo Thomas JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Riset Informatika Jurnal Teknologi Terpadu JUSIM (Jurnal Sistem Informasi Musirawas) INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Jurnal Teknik dan Informatika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Jurnal Informatika dan Rekayasa Elektronik bit-Tech Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) TRIDARMA: Pengabdian Kepada Masyarakat (PkM) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Sistem Komputer & Kecerdasan Buatan INFOKUM TIN: TERAPAN INFORMATIKA NUSANTARA Infotek : Jurnal Informatika dan Teknologi Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Journal of Soft Computing Exploration Djtechno: Jurnal Teknologi Informasi Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Instal : Jurnal Komputer Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Interaktif: Warta Pengabdian Pendidikan (JIWPP) J-Intech (Journal of Information and Technology) Journal of Informatics and Communication Technology (JICT) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Journal of Artificial Intelligence and Engineering Applications (JAIEA) JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Jurnal Penelitian Sistem Informasi Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Journal of Informatics and Communication Technology (JICT) Journal of Computer Science Advancements Journal of Information Technology TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika

Niska, Debi Yandra

Universitas Negeri Medan

Author-ID : 1210759

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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IMPLEMENTASI METODE GLCM DAN KNN UNTUK MENGIDENTIFIKASI JENIS BUNGA ANGGREK (ORCHIDACEAE) Nurkhalizah, Rezeki; Febrian, Didi; Manullang, Sudianto; Iskandar Al Idrus, Said; Yandra Niska, Debi
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 4 (2025): JATI Vol. 9 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i4.14142

Identifikasi jenis bunga anggrek (Orchidaceae) merupakan salah satu tantangan dalam bidang pengolahan citra digital, mengingat keberagaman bentuk dan warna pada setiap spesies. Penelitian ini bertujuan untuk mengimplementasikan metode Grey Level Co-occurrence Matrix (GLCM) dan K-Nearest Neighbor (KNN) dalam mengidentifikasi jenis bunga anggrek. GLCM digunakan untuk mengekstraksi fitur tekstur pada gambar bunga anggrek, seperti kontras, korelasi, energi, dan homogenitas, yang dapat menggambarkan pola tekstur spesifik pada setiap jenis bunga. Fitur-fitur yang diperoleh kemudian digunakan sebagai input dalam metode klasifikasi KNN untuk mengklasifikasikan gambar bunga anggrek ke dalam kategori spesies yang sesuai. Dataset yang digunakan terdiri dari citra berbagai jenis bunga anggrek, yang telah melalui proses pra-pemrosesan seperti konversi ke grayscale, normalisasi ukuran, dan segmentasi objek bunga dari latar belakang. Proses pelatihan dilakukan dengan membagi dataset menjadi 80% data training dan 20% data testing. Evaluasi performa dilakukan menggunakan metrik akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan bahwa kombinasi metode GLCM dan KNN dapat memberikan akurasi identifikasi yang tinggi, membuktikan efektivitasnya dalam mengenali variasi jenis bunga anggrek berdasarkan karakteristik tekstur citra. Dari hasil pengujian, sistem yang dikembangkan mencapai akurasi sebesar 78,95%, yang menunjukkan kinerja yang cukup baik untuk klasifikasi awal. Penelitian ini diharapkan dapat menjadi kontribusi dalam pengembangan sistem identifikasi otomatis untuk tanaman anggrek, yang berguna bagi bidang botani, konservasi, serta mendukung digitalisasi data flora. Pengembangan lebih lanjut dapat dilakukan dengan memperluas jumlah data, menggabungkan fitur warna atau bentuk, serta menguji algoritma klasifikasi lain untuk meningkatkan akurasi dan keandalan sistem.

Decision Support System for Selecting BPS Central Tapanuli Partners Using the SMART Method Nur, Adzkia; Lubis, Ardilla Syahfitri; Sambora, Dicky; Niska, Debi Yandra
J-INTECH ( Journal of Information and Technology) Vol 13 No 01 (2025): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v13i01.1857

The selection of partners at the Central Statistics Agency (BPS) of Central Tapanuli is a very important process because it determines the quality of supporting staff in census and survey activities. One of the core stages in the selection process is the interview, which functions to directly evaluate the abilities and character of prospective partners. The assessment in the interview covers several main aspects, namely analytical skills, communication, appearance, and politeness. This study aims to design a decision support system based on the SMART (Simple Multi Attribute Rating Technique) method that can help process interview results systematically and objectively. Each criterion in the interview is given a weight based on the level of importance, then the value of each candidate is processed through mathematical calculations that produce a final score. This score is used to determine the candidate's ranking and provide recommendations to the selection committee. The system is developed in the form of a web-based application with a user-friendly interface, and supports data input, value processing, and automatic presentation of results. The implementation results show that the SMART method is able to improve assessment accuracy, reduce subjectivity, and accelerate the decision-making process in partner selection. With this system, the interview process is not only a fairer and more transparent means of assessment, but also supports work efficiency and consistency of selection results in the BPS environment.

Development of a Web-Based Decision Support System for Selecting the Optimal Duck Feed Using the Analytic Hierarchy Process (AHP) Nazla, Khaira; Manurung, Enrico Vincentius; Hidayat, M Fauzan; Niska, Debi Yandra
J-INTECH ( Journal of Information and Technology) Vol 13 No 01 (2025): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v13i01.1918

The selection of optimal livestock feed is essential for improving animal health and productivity. This study developed a web-based Decision Support System (DSS) using the Analytic Hierarchy Process (AHP) to help farmers choose the best feed based on nutritional content, price, and availability, including sub-criteria like protein, energy, fat, minerals, and vitamins. The system ranks alternatives using pairwise comparisons and priority weights. Validation against manual calculations showed high accuracy (correlation coefficient: 0.9987; errors <2.5%), with Fermented Feed (A3) as the top choice (score: 0.3611). Both methods produced identical rankings. The system reduces evaluation time by ~85% while maintaining accuracy, proving AHP’s effectiveness in digital livestock feed management tools.

Decision Support System for Determining Social Assistance Recipients in Petuaran Hilir Village Using the SMART Method Niska, Debi Yandra; Sitorus, Azura Calista; Istiara, Syafira; Hidayanti, Rahma
J-INTECH ( Journal of Information and Technology) Vol 13 No 01 (2025): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v13i01.1945

The distribution of social assistance in rural areas is a strategic government effort to reduce social inequality and improve the welfare of underprivileged communities. However, in Petuaran Hilir Village, the process of determining aid recipients is still conducted manually, leading to various issues such as a lack of objectivity, potential unfairness, and mistargeting. Therefore, this study aims to design and implement a Decision Support System (DSS) using the Simple Multi-Attribute Rating Technique (SMART) method to determine social assistance recipients in a more systematic and transparent manner. The SMART method was chosen due to its effectiveness in simplifying multi-criteria decision-making and its practicality for implementation at the village level. The system was developed as a web-based application and tested using the black-box method, as well as validated against the manual selection results conducted by village officials. Testing results showed that the system can objectively identify and rank aid recipients based on final scores from five main criteria: income, number of dependents, home ownership status, housing condition, and type of employment. The system achieved 100% consistency with manual selection results and reduced the selection process time by up to 70%, enabling a fairer and more targeted distribution of aid based on systematically calculated scores. By eliminating manual bias in the selection process, the system significantly improves the accuracy of recipient rankings. This study also opens opportunities for further development, such as integrating real-time population data and advanced analytical features to support more responsive social policies.

Implementasi Metode Multifactor Evaluation Process (MFEP) dalam Pemilihan Karyawan Berprestasi pada PT. Maju Express Indonesia Niska, Debi Yandra; Musdalifa, Eliza
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 5 No. 2 : Tahun 2020
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17605/jtiust.v5i2.1048

PT. Maju Express Indonesia adalah perusahaan yang berpusat di Jakarta, tepatnya di Mangga Dua Square Blok H nomor 18-21, Jakarta Utara. Memiliki sejumlah cabang di beberapa kota besar, salah satunya di Medan, Sumatera Utara. Jumlah karyawan yang bekerja di PT. Maju Express Indonesia. Kinerja setiap individu karyawan juga berbeda-beda. PT. Maju Express Indonesia memberikan penghargaan kepada karyawan berprestasi setiap tahun. Proses penilaian karyawan berprestasi masih manual dan tidak efektif. Sehingga dinilai kurang optimal dan membutuhkan banyak waktu baik dalam penyusunan laporan maupun pemilihan calon karyawan dengan prestasi yang luar biasa. Untuk mengatasi masalah tersebut, diperlukan Sistem Pendukung Keputusan (DSS) untuk membantu perusahaan memiliki karyawan yang berkualitas dan berprestasi serta dapat mengharumkan nama perusahaan. Dalam pengambilan keputusan, DSS menggunakan data dan model untuk memecahkan masalah yang tidak terstruktur. Salah satu model yang digunakan dalam DSS adalah MultiFactor Evaluation Process (MFEP). Dengan adanya sistem pendukung keputusan untuk menentukan karyawan berprestasi dapat memudahkan PT. Maju Express Indonesia dalam memilih karyawan berprestasi

Implementation of a Hybrid Cryptosystem Using ChaCha20 and ECC for Image Encryption in an Android Application Zai, Samuel Anaya Putra; Debi Yandra Niska; Zulfahmi Indra; Kana Saputra; Adidtya Perdana
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15274

This study aims to develop an Android application capable of securely encrypting and decrypting images using a hybrid cryptographic method. The system combines the ChaCha20 algorithm as symmetric cryptography to encrypt image files, and Elliptic Curve Cryptography (ECC) as asymmetric cryptography to encrypt the ChaCha20 key. The key used is temporary (ephemeral), ensuring that only the intended recipient who possesses the appropriate ECC private key can decrypt the file. The application was developed using the Kotlin programming language in Android Studio, with a PHP-based backend and MySQL database. Testing was conducted using the black-box method and involved 15 beta testers to evaluate functionality, security, and usability aspects. The results show that all features of the application run properly, and the encryption and decryption processes can be performed efficiently and securely. Beta testers gave an average rating of 4.6 out of 5 and stated that the application is easy to use and provides sufficient protection for personal data. Therefore, the developed application successfully meets the objectives of the study and offers an alternative solution for securing image file transfers between users via Android devices.

Web-Based Decision Support System for Employee Performance Evaluation at Madani Hotel Using the WASPAS (Weighted Aggregated Sum Product Assessment) Method Telaumbanua, Louders Yoakim; Saragih, Rendy Zikriansyah Fauzi; Ginting, Joel Arie Putranta; Niska, Debi Yandra
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 2 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i2.24790

Human resource management in the hospitality industry requires an objective and efficient employee performance evaluation. This study aims to design and implement a web-based Decision Support System (DSS) for evaluating the performance of Madani Hotel employees using the Weighted Aggregated Sum Product Assessment (WASPAS) method. Employee performance data (10 samples) were collected through observation and supervisor assessments based on nine criteria: Accuracy of Doing Job, Job Knowledge, Potential to Learn to Other Section, Initiative/Motivation, Hard Working, Able to Communicate with Others, Discipline, Productivity/Efficiency, and Responsibility. The weights of the criteria were determined based on their relevance to the job and were then normalized. The WASPAS calculation process was carried out in the CodeIgniter 4 backend, producing a Q score for each employee. The results showed a high correlation (Spearman’s rho = 0.88) between the system ranking and manual ranking, with A.P. ranked highest and E.W. ranked lowest. The implementation of this DSS reduces subjectivity and accelerates the performance evaluation process. The developed system also provides an automated reporting module and a responsive interface based on Bootstrap SAdmin2.

Sistem Pendukung Keputusan Untuk Pemilihan Pupuk Padi (Oryza sativa) Terbaik Berbasis Metode Pembobotan Entropy Dan Aras Niska, Debi Yandra; Khoiriyah Pohan, Nur Rizkah; Fadluna, Erika Putri; Ananda, Deswita
Jurnal Ilmiah Komputasi Vol. 24 No. 3 (2025): Jurnal Ilmiah Komputasi : Vol. 24 No 3, September 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.24.3.3838

Penelitian ini mengembangkan sebuah Sistem Pendukung Keputusan (SPK) untuk pemilihan pupuk pada tanaman padi di Desa Padang Cermin, Kabupaten Langkat, dengan memadukan metode Entropy dan ARAS. Metode Entropy digunakan untuk menghitung bobot kriteria kandungan nitrogen (N), fosfor (P), kalium (K), harga, dan dosis berdasarkan variasi data. Selanjutnya, metode ARAS melakukan perankingan alternatif pupuk dengan membandingkan skor setiap alternatif terhadap alternatif ideal. Sistem diimplementasikan menggunakan bahasa pemrograman Python dan framework Flask, dilengkapi antarmuka web yang memudahkan pengguna memasukkan data kriteria dan alternatif, menampilkan bobot, serta mengeksekusi perhitungan secara real time. Hasil perhitungan menunjukkan bahwa pupuk NPK Mutiara memperoleh skor tertinggi, yakni 0,1354, sehingga direkomendasikan sebagai pilihan terbaik untuk meningkatkan produktivitas padi di lokasi studi. SPK ini diharapkan membantu petani dan penyuluh dalam membuat keputusan pemupukan yang lebih objektif dan efisien.

IMPLEMENTASI SEDERHANA PREDIKSI CUACA DENGAN METODE REGRESI LINEAR DAN LOGIKA FUZZY siregar, dean; Artika, Delvita Aulia; Febrianti, Bunga Dwi; Niska, Debi Yandra
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 6 No 2 (2025): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM)
Publisher : Fakultas Teknik Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v6i2.3293

Unpredictable weather changes in Medan City often cause significant impacts across various sectors such as transportation, health, and the economy. One of the most frequent consequences is flooding due to high and poorly predicted rainfall. Therefore, this study aims to develop a weather prediction model by combining Linear Regression and Fuzzy Logic methods to improve the accuracy of weather parameter predictions, such as temperature, humidity, and rainfall measured in oktas. Linear Regression is used to model the statistical relationships between weather variables based on historical data, while Fuzzy Logic is applied to handle the uncertainty in weather patterns that are often nonlinear and unpredictable. This study utilizes historical weather data obtained from the worldweatheronline.com website for the Medan City area. The data goes through several processing stages, including preprocessing to clean and normalize the data, modeling using Linear Regression to identify major trends in the dataset, and applying Fuzzy Logic to accommodate uncertainties in predictions. The developed model is then tested and validated to evaluate its performance compared to other conventional prediction methods. The model implementation is carried out using GNU Octave, which allows efficient numerical analysis and data modeling. The results show that the combination of Linear Regression and Fuzzy Logic improves the accuracy of weather predictions compared to using a single method. This model provides more stable and reliable prediction results, especially in handling extreme weather conditions that frequently occur in Medan City. With a more accurate prediction model, it is expected to assist the community, government, and policymakers in disaster mitigation, infrastructure planning, and strategic decision-making in facing dynamic weather changes

Co-Authors Ade Andriani Adidtya Perdana, Adidtya Adinda Wibowo Adventino Gulo, Steven Agi Berutu, Iwan Akbar Alif Haikal Akram Fauzan Alfarizi Wijaya Alifya Aisya, Alifya Aisya Amelia Pertiwi, Ayu Ammar Kamil Al Abror Ananda Hatmi, Reza Ananda, Deswita Andika Veriando Saragih Andriyani S, Rahayu Angelina S Saragih Anggi Tasari Anti Nada Nafisa Arifin, Muhammmad Hidayatul Arion Pardede ARNAH RITONGA Arnita Arnita Artika, Delvita Aulia Arung Buana Subuh Ashillah, Salma Augis Dinanti Aullia, Annisa Auzi, Sybil Azis Kurniadi Azizah, Wafiq Khairiyah Azril Arfansyah Azura Calista Sitorus Bastio, Aldrik Bicanro Gebriyan Panjaitan Bonifasius Simbolon, Aldo Br Sipayung, Juliana Gloria Calvin Sahputra Buulolo Chairani, T.Sofia Chelsea Febiola Sebayang Christian Nicholas Sinaga Dealva Arsyad, Thania Derian, Rendy DIdi Febrian Dinda Kartika Disty Anastasya DWI SURYANTO Eka Nainggolan, Rinay Erika Nia Devina Br Purba Evaliana Sembiring, Khatrin Fadluna, Erika Putri Fahri Aulia Alfarisi Harahap Fais, Muhammad Akram Farida Hannum Harahap Febrianti, Bunga Dwi Fevi Rahmawati Suwanto Frengki Alfredo Matondang Gian Patar P. Sirait Ginting, Joel Arie Putranta Habibi, Rizki Haikal Farhan Ramadhan Haikal, Akbar Alif Harahap, Salsa Nabila Hermawan Syahputra HIDAYANTI, RAHMA Hidayat, M Fauzan Hijka Listia Immanuel Tarigan Insan Taufik Irfan Zaky Muchtar Istiara, Syafira Jatmiko Althaf Aziz Jeremia Jordan Sihombing Johanes Apriadi Parlinggoman Sirait John Bush Henrydunan Josua Nainggolan Juhraini Helfiana Lexa Kana Saputra S Keisha Silalahi, Evelyn Keysa Shifa Adwitia Sitepu Khairany Zuhriyyah Jinan Khairany Zuhriyyah Jinan Hsb Khairul Khairul Khairul, Khairul Khoiriyah Pohan, Nur Rizkah Khusnul Arifin Lastri Putri Silaban Lubis, Ardilla Syahfitri Lumbantoruan, Angelina Romauli M. Zikry Sahendra Chan Maharani, Raysa Manullang, Sudianto Manurung, Enrico Vincentius Maulana Malik Fajri Maulana Malik Fajri Mayadi, Kaka Aprianda Meirza, Alifya Meliala, Ruth Amelia Vega S. Melika Debiyana Putri Mhd Hidayat Misgiya, Misgiya Mohammed Hafizh Al-Areef Muhammad Alfin Muhammad Fadlan Ikromi Muhammad Ferdiansyah Hidayat Muhammad Iqbal Muhammad Iqbal Fahrezzi Muhammad Rafli Wijaya Musdalifa, Eliza Nafil Rizq Trianto Nasution, Hamidah . Naufal Musyaafa, Muhammad Nazla, Khaira Nisa, Anisa Damayanti Daulay Nur Anisa Fitria Nur, Adzkia Nurkhalizah, Rezeki Nurul Adawiyah Putri Pandiangan, Daniel Pane, M Iqbal Anata Panjaitan, Clara Kresensia Pasaribu, Jojor Putri Paskal Arienda Epindonta Ginting Pinem, Mhd Zulfikar Puteri, Nadya Rafaela Putri Ameliya Lubis Putri Syaifullah Nst, Sarah Putri, Melika Debiyana Qatrunnada Athirah Herdiyanto Raffi Anggi Reswen Rahayu Andriyani S Rahma Hidayanti Rahmad Budi Utomo Rahmi, Yunita Raiyan Fairozi Raja Ansel Hartama Sihombing Ramadhani, Nazwa Salsyabilla Rangkuti, Muhammad Haikal Hafiz Repi Meilani Putri Rezkya Nadilla Putri Rian Farta Wijaya Ridho Affandi Ridho Ardhana Rifail Azis, Khildan Rinay Eka Nainggolan Rizki Andrian Fitra, Muhammad Rizki Habibi Rizki Immanuel Situmorang Rizky Wahyudi Ronaldo Mardianson Sinaga Sabina Wardaniah Sadion Tumpal Damanik Safitri, Eli Sahid, Sirlia Said . Iskandar Sambora, Dicky Sandy Andika Maulana Saragih, Rendy Zikriansyah Fauzi Sari, Rani Indah Sartika Siburian Sebastian Saut Marulitua Sembiring, Febe Gracia Shabrina Husna Batubara Shaqila Rahmayani Gultom Sibarani, Ronasip Heppy Ria Siburian, Sartika Sidabutar, Yusiva SM Sihombing, Jeremia Jordan Simamora, Elmanani Simanjuntak, Yesy Siregar, Dean Siregar, Nugrah Anggara Siti Wulandari Sitorus, Azura Calista Situmorang, Alfarizi Wijaya Stefania Situmorang Suhendra, Dewi Putri Sagita Suleho, Febrina Syafira Istiara Syahrul Fahri Syawali, Yusfi Syti Salwaa Nafiisah Talitha Jehian, Neysa Tampubolon, Putri Tasya Agustina Taufik Abdullah Telaumbanua, Louders Yoakim Tia Risky Yasmin Saketang Utomo, Rahmad Budi Wahyu Abadi Harahap Wahyu Tri Atmojo Warjaya, Angga Widjayani, Alifya Aisya Wijaya, Rian Farta Wulan Adira Nasution Yeremia Tiopan P. Purba Yulita Molliq Rangkuti Yunanda Rizki Sitompul YUSRIDA JELIANTI SIHITE SIHITE Zai, Samuel Anaya Putra Zulfahmi Indra, Zulfahmi

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