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All Journal Jurnal Ilmu Komputer Teknika Jurnal Informatika Sinergi Telematika Jurnal Informatika dan Teknik Elektro Terapan Jurnas Nasional Teknologi dan Sistem Informasi InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Format : Jurnal Imiah Teknik Informatika Sistemasi: Jurnal Sistem Informasi Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal CoreIT Information Management For Educators And Professionals (IMBI) Informatika Pertanian Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Komtika (Komputasi dan Informatika) JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Inotera Jurnal Infomedia MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Sains Riset Jurnal Sosial Humaniora Sigli JTIK (Jurnal Teknik Informatika Kaputama) JOURNAL OF INFORMATICS AND COMPUTER SCIENCE G-Tech : Jurnal Teknologi Terapan Jurnal Sistem Komputer dan Informatika (JSON) Medika Teknika : Jurnal Teknik Elektromedik Indonesia Infotek : Jurnal Informatika dan Teknologi Idealis : Indonesia Journal Information System International Journal of Engineering, Science and Information Technology JUTECH : Journal Education and Technology Conten : Computer and Network Technology Brilliance: Research of Artificial Intelligence Jurnal Teknik Informatika dan Elektro (JURTIE) TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Energi Elektrik Jurnal Bangun Abdimas IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Journal Of Artificial Intelligence And Software Engineering Jurnal Malikussaleh Mengabdi Jurnal Komtika (Komputasi dan Informatika) Jurnal Informatika Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Jurnal Pengabdian Masyarakat Teknologi Informasi (PERANTI)
Nurdin Nurdin
Universitas Malikussaleh
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IMPLEMENTASI METODE MULTI OBJECT OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) DALAM PENERIMAAN PESERTA DIDIK BARU SMKN 2 LHOKSEUMAWE: IMPLEMENTATION OF MOORA AS A TOOL TO HELP DETERMINE THE BEST PROSPECTIVE STUDENTS Gilang Sidiq; Nurdin; Fajriana
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6432

Abstract

SMK N 2 Lhokseumawe is a public high school located on Jln. Ocean, Kampung Jawa Lama, Banda Sakti, Lhokseumawe City, Aceh. The process of admitting new students to make it more effective, the school certainly has a scoring system with predetermined criteria. SMK N 2 Lhokseumawe itself has a data system and value selection process which makes it a problem, because the data is processed only using Microsoft Excel and calculated manually. from the test results. Therefore it is necessary to change the old system with changes to the new system. By using the SPK (Decision Support System) in the MOORA (Multi Object Optimization on The Basis of Ratio Analysisis) Method in order to optimize two or more conflicting attributes simultaneously and to make it easier for SMK N 2 Lhokseumawe in determining PPDB according to the criteria set out set. This system is supported by the PHP programming language as a system development application, and the MySQL database as data storage. The results of calculations using the MOORA method show that SMK N 2 Lhokseumawe students on behalf of Afrilia Fransciska are ranked first with a percentage of 0.305 and Beriana Amelia Febrianti is ranked last with a percentage of 0.166. very useful for SMK N 2 Lhokseumawe.
KLASIFIKASI STATUS ANAK STUNTING MENGGUNAKAN METODE K-NEAREST NEIGHBOR : CLASSIFICATION OF CHILD STUNTING STATUS USING THE K-NEAREST NEIGHBOR METHOD Ahmad Junaidi; Nurdin Nurdin; Rini Meiyanti
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6536

Abstract

Stunting is a public health problem that has a serious impact on children's growth and development, particularly during the first 1,000 days of life. This study aims to implement the K-Nearest Neighbor (KNN) algorithm to classify stunting status in toddlers and to develop a web-based system to support early detection at the Muara Satu Public Health Center. The dataset consists of 558 entries, including age at measurement, birth weight, birth height, current weight, current height, and upper arm circumference. Data normalization was performed using the Min-Max method to standardize feature scales. The classification process applied the Euclidean distance metric and determined the class based on the majority of the three nearest neighbors (k=3). The choice of k was based on preliminary testing, but further optimization is suggested for future research. The developed system allows healthcare workers to input toddler data and automatically obtain classification results as either “Normal” or “Indicated Stunting.” Experimental results show an accuracy of 89.42%, although potential false positives and false negatives remain to be further analyzed. This study is limited to data from a single health center, thus model generalization requires validation with multi-center datasets and larger sample sizes. The integration of machine learning into health information systems has proven to improve the efficiency and accuracy of community nutrition services, and future work is recommended to explore other algorithms such as ensemble learning to further enhance performance.
SISTEM PENGONTROLAN LAMPU DENGAN ISYARAT TANGAN BERBASIS IOT (INTERNET OF THINGS) Muhammad Reza Zainal; Nurdin Nurdin
JUTECH : Journal Education and Technology Vol 7, No 1 (2026): JUTECH JUNI (IN PRESS)
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jutech.v7i1.6629

Abstract

Perkembangan teknologi Internet of Things (IoT) adalah hal baru yang dapat dimanfaatkan sebaik mungkin untuk kemajuan teknologi informasi dan komunikasi. Selama ini metode kontrol konvensional seperti sakelar fisik atau aplikasi ponsel sering kali kurang praktis bagi pengguna dalam situasi tertentu, atau bagi penyandang disabilitas fisik. Penelitian ini bertujuan untuk merancang sistem pengontrolan lampu berbasis IoT yang dikendalikan melalui isyarat tangan dirancang khusus sebagai teknologi bantuan yang inklusif bagi penyandang disabilitas fisik. Metode yang digunakan berpusat pada Raspberry Pi sebagai komputer papan tunggal (single-board computer) yang diintegrasikan dengan modul ip camera cctv untuk menangkap visual tangan, serta algoritma Computer Vision untuk memproses pola isyarat tangan tersebut. Dari hasil pengujian sistem pengontrolan lampu dengan isyarat tangan sangat berpengaruh dengan cahaya, apabila cahaya kurang alias ruangan gelap maka proses deteksi isyarat tangan sulit dideteksi oleh sistem dan jika cahaya mencukupi sistem dapat dengan mudah mendeteksi isyarat tangan yang diberikan oleh pengguna. Jarak antara tangan dengan ip camera cctv pada proses deteksi isyarat tangan agar dapat mengontrol lampu berada pada jarak paling dekat yaitu 60 cm dan untuk jarak paling jauh yaitu 110 cm
PENERAPAN SISTEM PENDUKUNG KEPUTUSAN DALAM PEMILIHAN KEUCHIK DESA PUSONG LAMA, KOTA LHOKSEUMAWE TAHUN 2026 Ilham Manzis; Nurdin Nurdin
JUTECH : Journal Education and Technology Vol 7, No 1 (2026): JUTECH JUNI (IN PRESS)
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jutech.v7i1.6795

Abstract

Proses pemilihan Keuchik melibatkan berbagai kriteria sehingga diperlukan metode yang mampu mendukung pengambilan keputusan secara objektif. Penelitian ini bertujuan menerapkan Sistem Pendukung Keputusan menggunakan metode Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) dalam pemilihan Keuchik Desa Pusong Lama, Kota Lhokseumawe. Data diperoleh melalui observasi, wawancara, dan dokumentasi terhadap tiga kandidat yang memenuhi persyaratan administrasi. Metode AHP digunakan untuk menentukan bobot kriteria, sedangkan TOPSIS digunakan untuk menentukan peringkat kandidat. Hasil penelitian menunjukkan bahwa pengalaman kepemimpinan memiliki bobot tertinggi sebesar 28,7%, diikuti visi dan misi 25,3%, pendidikan 22,4%, rekam jejak sosial 13,8%, dan dukungan masyarakat 9,8%. Berdasarkan hasil perangkingan TOPSIS, Kandidat B memperoleh nilai preferensi tertinggi sehingga menjadi kandidat yang paling direkomendasikan. Penelitian ini menunjukkan bahwa kombinasi metode AHP dan TOPSIS mampu menghasilkan proses pengambilan keputusan yang lebih objektif, sistematis, dan transparan.
Analisis Pengaruh Kualitas Portal Akademik Universitas Malikussaleh terhadap Kepuasan Pengguna Menggunakan System Usability Scale (SUS) Maksal Mina; Nurdin; Asrianda
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.34891

Abstract

The Malikussaleh University Academic Portal is a web-based information system used to support various academic services, such as filling out the Study Plan Card (KRS), accessing the Study Result Card (KHS), class schedules, and other academic administrative information. However, several obstacles are still encountered in its use, such as less than optimal access speed, an interface that is not fully responsive, and navigation that is considered less intuitive by users. This study aims to evaluate the usability level of the Malikussaleh University Academic Portal using the System Usability Scale (SUS) method. The study used a quantitative approach with data collection techniques in the form of observation, interviews, literature studies, and distribution of SUS questionnaires to 50 active Malikussaleh University students selected using a purposive sampling technique. Data were analyzed based on the SUS calculation procedure which produces a usability score in the range of 0–100. The results showed that the Malikussaleh University Academic Portal obtained an average SUS score of 74.5. Based on the SUS interpretation, this value is included in the Good category, is on the Grade Scale B, and is included in the Acceptability Range Acceptable. These results indicate that the academic portal has a good level of usability and is acceptable to users. However, several aspects still need improvement, particularly system access speed, responsiveness on mobile devices, and simplified interface navigation. This research is expected to provide evaluation material for system administrators in improving the quality of digital-based academic services at Malikussaleh University.
Sentiment Analysis of Action Mobile Application Reviews Using Logistic Regression and Support Vector Machine Haniful Fikri; Nurdin; Nunsina
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 10 No. 1 (2026): Issues July 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v10i1.18024

Abstract

The digital transformation has driven PT. Bank Aceh Syariah to launch the Action Mobile application. Despite its benefits for customers, user reviews on the Google Play Store indicate varying perceptions due to differences in digital experiences. This study aims to analyze user sentiment toward the Action Mobile application while comparing the effectiveness of the Logistic Regression and Support Vector Machine (SVM) algorithms. A total of 3,000 clean review data were collected through web scraping techniques. The dataset exhibits an imbalanced distribution, dominated by 1,840 positive reviews (61.33%), followed by 821 negative reviews (27.37%), and 339 neutral reviews (11.30%). Model testing was conducted using the 10-Fold Cross Validation so that each data has the opportunity to become test data and the evaluation results become more objective, utilizing TF-IDF for word weighting. The evaluation results using a 3 × 3 multiclass confusion matrix based on a weighted average demonstrate that the Logistic Regression algorithm outperforms SVM across all testing metrics. The Logistic Regression model successfully achieved an Accuracy of 0.9023, Precision of 0.897, Recall of 0.9023,, and an F1-Score of 0.895. Meanwhile, the SVM model obtained an Accuracy of 0.9013, Precision of 0.8969, Recall of 0.9013, and an F1-Score of 0.898. This performance variance proves that the Logistic Regression architecture is more adaptive and optimal for this specific case study. The findings of this study are expected to serve as evaluation material for enhancing Action Mobile services.
Sistem Pakar Berbasis Web untuk Diagnosis Stunting pada Balita Menggunakan Metode Naïve Bayes Yolinda Cesilia; Nurdin Nurdin; Cut Agusniar
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 2 (2026): April 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i2.9130

Abstract

Stunting is a health problem caused by chronic malnutrition that affects children's physical growth and cognitive development. This condition has become a serious concern because it impacts the quality of human resources in the future. This study aims to develop an expert system for diagnosing Stunting using the Naïve Bayes method to assist healthcare workers in the early detection of at-risk toddlers. The research data were obtained from Posyandu in Babul Makmur District, Southeast Aceh Regency, consisting of 170 training data and 30 testing data. The system was developed using the Python programming language with the Flask framework and SQLite database. The input variables consisted of seven symptoms (G01–G07), including age, weight, height, gender, and other supporting factors. The testing results showed that the Naïve Bayes method achieved an accuracy of 86.66%, with 26 out of 30 test data correctly classified according to expert diagnoses. This system can be used as a decision-support tool for healthcare workers to accelerate diagnosis and improve the effectiveness of Stunting management, particularly in areas with limited healthcare resources. 
Analysis of the Efficiency and Performance Effectiveness of Srikandi Application Using the UTAUT Model and Delone & Mclean Wawan Syahputra; Dahlan Abdullah; Nurdin Nurdin; Muhammad Daud; Taufiq Taufiq
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1806

Abstract

The development of information technology has encouraged the government to carry out digital transformation in administrative governance, one of which is through the implementation of the SRIKANDI Application (Integrated Dynamic Archive Information System). This application is designed to support the management of electronic archives and correspondence integrated across government agencies. This study aims to analyze the efficiency and effectiveness of the SRIKANDI Application in supporting government administration, focusing on service speed, documentation accuracy, and resource efficiency. The method used in this study is a mixed methods approach with a sequential explanatory design. Quantitative data were collected by distributing questionnaires to employees who used the application to assess perceptions of efficiency and effectiveness. Furthermore, qualitative data were obtained through in-depth interviews and document analysis to delve into the quantitative findings and explore contextual factors that influence application implementation. Data analysis is carried out in stages, starting with descriptive and inferential statistical analyses for quantitative data and with thematic analysis for qualitative data. This research is expected to contribute to the development of an electronic government system and serve as a reference for evaluation and policymaking related to bureaucratic digitalization. In addition, the results of this study are also expected to strengthen the literature on the effectiveness of government information systems and provide an empirical picture of the practice of implementing the SRIKANDI Application in government agencies.
Perbandingan Metode Single Exponential Smoothing Dan Metode Double Exponential Smoothing Untuk Memprediksi Konsumsi Energi Listrik Di PT. PLN (Persero) ULP Lhokseumawe Meisya Syahtira; Nurdin Nurdin; Fajriana Fajriana
Jurnal Nasional Teknologi dan Sistem Informasi Vol 11 No 3 (2025): Desember 2025
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v11i3.2025.350-360

Abstract

Electricity is a vital necessity for society and serves as a key driver across various sectors, including households, businesses, and industries. With the increasing demand for electricity each year, PT. PLN (Persero) ULP Lhokseumawe is required to plan its distribution and power capacity accurately. Inaccurate forecasting may cause imbalances between supply and demand. This study compares two forecasting methods, namely Single Exponential Smoothing (SES) and Double Exponential Smoothing (DES), to predict electricity consumption in the Lhokseumawe region. The dataset consists of monthly electricity consumption per sub-district from 2022 to 2024, with forecasting projections up to 2027. The research stages include data collection, preprocessing, application of SES and DES methods, accuracy evaluation using Mean Absolute Percentage Error (MAPE), and the design of a web-based system using Python and Flask. The results indicate that the SES method achieved higher accuracy with a MAPE value of 5.85%, while the DES method obtained a MAPE value of 7.87%. These findings suggest that SES is more suitable for data with random fluctuations, whereas DES is better applied to data with trend patterns. By comparing the MAPE values, this study provides insights into which method is more optimal for electricity consumption forecasting in Lhokseumawe. The outcomes are expected to contribute practically to PT. PLN (Persero) ULP Lhokseumawe in formulating more effective and efficient electricity distribution strategies.
Implementasi Data Mining Untuk Menganalisis Kategori Kompetisi Mahasiswa Menggunakan Algoritma Apriori Nurdin Nurdin; Cindy Cika Pradita; Fadlisyah Fadlisyah
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 7 No. 1 (2023): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2023
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v7i1.12104

Abstract

Saat ini kompetisi IT merupakan salah satu kegiatan yang paling banyak diminati oleh mahasiswa. Kategori kompetisi yang diadakan cukup banyak, yang membuat para mahasiswa dapat memilih kategori kompetisi yang sesuai dengan kemampuannya. Prodi Teknik informatika Universitas Malikusaleh merupakan salah satu jurusan dibidang IT yang setiap tahunnya mengadakan kegiatan kompetisi IT.  Namun, kategori kompetisi yang cukup banyak ini tidak mungkin semua dapat didadakan di kampus, ditambah lagi keterbatasan kemampuan yang dimiliki mahasiswanya. Dengan memanfaatkan data quisioner mahasiswa yang pernah mengikuti kompetisi, dapat dilakukan analisa untuk menemukan kombinasi hubungan antara kategori kompetisi dengan keahlian, matakuliah, dan nilai matakuliah sehingga dapat menghasilkan informasi tentang kategori kompetisi yang sesuai dengan kemampuan yang dimiliki mahasiswa yang nantinya dapat dijadikan bahan pertimbangan untuk menentukan kategori kompetisi yang akan diadakan. Salah satu teknologi yang dapat digunakan untuk mewujudkannya adalah data mining. Algoritma yang digunakan adalah algoritma apriori yang merupakan jenis aturan asosiasi pada data mining yang digunakan untuk menentukan pola kombinasi antar itemset. Pada penelitian ini informasi yang ditampilkan berupa nilai support dan confidence dari masing-masing kategori kompetisi. Dari 100 data mahasiswa yang digunakan, dimana nilai thershold ditentukan 3, didapat  pola rule tertinggi yaitu Jika mahasiswa menyukai Komputasi Cerdas dan Multimedia maka akan mengikuti kategori kompetisi Game Dev dengan nilai support 13%dan nilai confidence tertinggi yaitu 61%.
Co-Authors - Miranda ., Muthmainah Adi Prasetyo Adzuha Desmi Afif Diapari Ma'aruf Lubis Afif Diapari Aflizar Aflizar Afrilia, Yesy Ahmad Junaidi Aidilof, Hafizh Al Kautsar Aji Anggara Al Khaidar Alaiya, Azna Aldi Wahdana Alqhifari, Azka Ama Zanati Amalia, Nova Amin Munthoha Ananda Faridhatul Ulva Andri Alfitra Andriyan Ginting Annisa Karima Ansharulhaq Aminsyah Arnawan Hasibuan Asrianda Asrianda Aynun, Aynun Aynun, Nur Azzanna, Maghriza bhakti wan khaledy Bustami Bustami Bustami Bustami Cesilia, Yolinda Chaeroen Niesa Chicha Rizka Gunawan Cindy Cika Pradita Cut Agusniar Cut Agusniar Cut Rifa Salsabil Dadang Priyanto Dahlan Abdullah Dahlan Abdullah Darmansyah, Arif Desky, Muhammad Aulia Dewi Astika Erni Susanti Eva Darnila Fachril Akbar Fadlisyah Fadlisyah Fadlisyah Fahrozi, Fazar Fajriana Fajriana Fajriana Fajriana Fajriana Fajriana, Fajriana Fasdarsyah Fasdarsyah fatimah Fatimah Fikhri, Aditya Aziz Fikran, Rifzan Fikri Fikri Gavinda, Virza Gilang Sidiq gunawan, chicha rizka Gunawan, Chichi Rizka Hafizh Al Kautsar Aidilof Hafizh Al Kautsar Aidilof Hafizh Al-Kautsar Aidilof Hamdhana, Defry Haniful Fikri Hari Sampurno Hasbul Hadi Herman Fithra Hermansyah Hermansyah I Made Ari Nrartha Ilham Manzis Ilyana, Anis Imanda, Nanda Intan Nuriani Ira Wati Irwansyahputra Irwansyahputra Isa, Muzamir Ismun Naufal Iza Rifna Jessika Jessika Jessika, Jessika Jikti Khairina Julia Ulfah Khaidar, Al Khairina, Jikti Khairul Fuadi Khairul Khairul, Khairul Khairuni Khairuni Khalis Al Muqarrabin Khananda Raihansyah Kurnia, Sri Kurniawati Kurniawati Kurniawati Lisa Mulia Al Ikhlas M Farhan Aulia Barus M Raisal Al Farisi M Rizwan M Sayuti M Suhendri M. Ali, Rahmadi Maksal Mina Marleni Marleni Maryana Maryana Maryana Maryana Maryana Maulita, Maya Maya Juwita Dewi Maysura Meisya Syahtira Meriatna Meriatna Muchlis Abdul Muthalib Muchlish Abdul Muthalib Muhammad Daud Muhammad Faisal Muhammad fauzan Muhammad Fikry Muhammad Furqan, Muhammad Muhammad Hutomi Muhammad Iqbal Muhammad Johan Setiawan Muhammad Nasir Muhammad Nasrullahil Wafi Muhammad Reza Zainal Muhammad Riansyah Muhammad Ridha Muhammad Sayuti Muhammad Sayuti Muhammad Sayuti Mukhtar Anas Mukti Qamal Muliana, Syarifah Munirul Ula Munirul Ula Munirul Ula Mutammimul Ula Muzakir Nur Nadilla Baimal Puteri Nanda Imanda NELI SUSANTI, NELI Nunsina, Nunsina Nurhabsah Nurhabsah OK Muhammad Majid Maulana Rahma Jihan Ananta Rahmad Rahmad Rahmad Rahmat Rahmat Raihan Putri Rasyada, Reza Dian Reza, Restu Rini Meiyanti Risawandi, Risawandi Riza Mirza Rizal S.Si., M.IT, Rizal Rizki Setiawan Rizki Suwanda Rizky Putra Fhonna Rizkya, Ghinni Robi Kurniawan Rusadi, Athirah Safriana Safriana Said Fadlan Anshari Salahuddin Salahuddin Salamah Salamah Salimuddin, Salimuddin Samudera, Brucel Duta Sapitri, Anggri Sari, Cut Jora Sayuti, Muhammad Siagian, Tania Annisa Siregar, Widyana Verawaty Siti Hajar Sri Kurnia Sri Kurnia Suci Fitriani, Suci Suhaili Sahibul Muna Sujacka Retno Sultan, Kana Suryana, Fitra Syandriani Harahap Taufik Taufik Taufiq Taufiq Taufiq Taufiq Taufiq Taufiq Thifal Salsabila Uci Mutiara Putri Nasution Ulfah, Julia Ulva Fitriani Utomo, Muhammad Fikri Violita Aditya Zahrah Wahdana, Aldi Wan Dinulaqli Wan, Syahputra Wawan Syahputra Wawan Wawan Yani, Muhamamd Yeni Yeni Yesy Afrilia Yesy Afrillia Yolinda Cesilia Yulisda, Desvina Zahratul Fitri Zahratul Fitri, Zahratul Zalfie Ardian Zara Yunizar Zara Yunizar Zharif Athaya Andarfi Zuraida Zuraida