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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Mantik Penusa JMM (Jurnal Masyarakat Mandiri) JURNAL EDUCATION AND DEVELOPMENT Journal of Education Technology JURIKOM (Jurnal Riset Komputer) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Riset Informatika EDUMATIC: Jurnal Pendidikan Informatika COLLASE (Creative of Learning Students Elementary Education) Building of Informatics, Technology and Science Jurnal Mantik Jurnal Tunas Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences JPM: JURNAL PENGABDIAN MASYARAKAT Jurnal Kesehatan Tambusai Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Teknisi Decode: Jurnal Pendidikan Teknologi Informasi J-Com (Journal of Computer) Bulletin of Information Technology (BIT) International Journal of Management Science and Information Technology (IJMSIT) Jurnal Bangun Abdimas Jurnal Informatika dan Teknologi Informasi Electronic Journal of Education, Social Economics and Technology Jurnal Pengabdian Harapan Bangsa Jurnal Teknologi Ilmu Komputer Jurnal Teknologi Pendidikan Teknologi : Jurnal Ilmiah Sistem Informasi Journal Computer Science and Applied Technology
Neni Mulyani
Computer Science, Universitas Royal, Asahan, Indonesia
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Optimalisasi Kinerja Supply Chain Pada Toko Adele Grosir Kisaran Dea Amanda Sari Lubis; Neni Mulyani; Akmal Nasution
TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Vol 16 No 1 (2026): January
Publisher : Universitas Pesantren Tinggi Darul 'Ulum (Unipdu) Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/teknologi.v16i1.6374

Abstract

Kinerja rantai pasok pada Toko Adele Grosir Kisaran masih menghadapi permasalahan utama berupa ketidaktepatan pengendalian persediaan, keterlambatan distribusi, serta kurangnya integrasi informasi antar proses yang berdampak pada rendahnya efisiensi operasional dan kepuasan pelanggan. Penelitian ini bertujuan untuk mengoptimalkan kinerja supply chain melalui penerapan sistem terintegrasi yang mampu meningkatkan visibilitas, akurasi data, dan kecepatan pengambilan keputusan. Solusi yang diusulkan adalah pengembangan sistem Supply Chain Management berbasis web yang mengintegrasikan proses persediaan, pemesanan, dan distribusi secara real-time. Metode yang digunakan meliputi analisis kebutuhan, perancangan model sistem, serta evaluasi kinerja dengan indikator efisiensi operasional dan tingkat pelayanan, dengan pendekatan pengembangan perangkat lunak Waterfall. Kontribusi penelitian ini terletak pada integrasi menyeluruh antar elemen rantai pasok yang sebelumnya dikelola secara manual dan terpisah, sehingga menghasilkan alur informasi yang lebih transparan, responsif, dan terkoordinasi. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu meningkatkan akurasi data persediaan, mempercepat proses pemesanan dan distribusi, serta mengurangi risiko kelebihan dan kekurangan stok. Selain itu, terjadi peningkatan efisiensi operasional dan kualitas layanan pelanggan secara signifikan. Dibandingkan metode konvensional, pendekatan yang diusulkan menawarkan keunggulan dalam hal kecepatan, ketepatan, dan integrasi data, sehingga lebih adaptif terhadap dinamika permintaan pasar. Dengan demikian, sistem yang dikembangkan terbukti efektif sebagai solusi dalam mengoptimalkan kinerja supply chain pada usaha grosir.
Determination of Website-Based Educational Assistance Recipients Using the Profile Matching Method at State Elementary School 9 Benteng Wawa Salsabilla; Neni Mulyani; Elly Rahayu
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.7722

Abstract

The development of information technology has brought about a major transformation in the field of education, particularly in the management of academic data and school administration. The process of determining educational assistance recipients at State Elementary School 09 Benteng is still done manually, thus potentially causing subjectivity. The absence of a website-based decision support system results in a less efficient selection process, suboptimal assessment results, and unstructured recipient criteria management. In addition, through the main discussion in this study aims to be able to design a website-based decision support system using the Profile Matching method to determine educational assistance recipients at State Elementary School 09 Benteng. This system is expected to support a more objective, structured and targeted selection process based on predetermined criteria. And in addition, the Research Method section used in this study is a descriptive quantitative approach. This method was chosen because the main objective of the study is not only to analyze a phenomenon, but also to design, develop, implement and test a website-based decision support system with the profile matching method. Based on the overall description in this study, the author can conclude that the website-based Decision Support System (DSS) for determining educational assistance recipients at State Elementary School 09 Benteng was successfully developed using the Profile Matching method to produce a more objective, structured and transparent selection process. This system replaces the previous, subjective manual method with a systematic assessment process, starting from determining criteria, weighting, calculating gap scores, and finally ranking. The results of data processing on 20 students showed that Maulana Malikul Ashori Putra obtained the highest score of 4,598 (rank 1), followed by Raka Dwi Kapo with the same score of 4,598 (rank 2) and Alfatin Rahma with a score of 4,540 (rank 3).
Perbandingan Metode ARAS dan TOPSIS untuk Menentukan Siswa Penerima Beasiswa Berprestasi Jeperson Hutahaean; Neni Mulyani; Masitah Handayani; Irianto Irianto; Novica Irawati
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i1.2333

Abstract

Proses penentuan siswa yang layak menerima beasiswa berprestasi seringkali hanya berdasarkan seleksi berkas, yang memakan waktu lama dan dapat menghasilkan keputusan yang kurang akurat. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan sistem pendukung keputusan yang mempercepat proses seleksi siswa penerima beasiswa berprestasi. Metode yang digunakan dalam penelitian ini adalah ARAS (Additive Ratio Assessment) dan TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). Kedua metode ini dipilih karena mampu menyeleksi alternatif terbaik berdasarkan pembobotan dan memilih tujuan berdasarkan kriteria yang berbeda, yaitu benefit dan cost. Metode ARAS menghasilkan ranking berdasarkan perbandingan fungsi utilitas alternatif dengan nilai fungsi utilitas optimal, sementara metode TOPSIS menghasilkan ranking berdasarkan jarak terpendek dengan solusi ideal positif dan jarak terpanjang dengan solusi ideal negatif. Dari nilai-nilai tersebut, alternatif yang memenuhi kriteria ditetapkan sebagai siswa penerima beasiswa berprestasi melalui perhitungan menggunakan metode ARAS dan TOPSIS. Hasil uji korelasi Rank M Arsya Almusa menunjukkan nilai 1,0546 untuk ARAS dan 0,8739 untuk TOPSIS. Hasil perhitungan secara manual dan melalui sistem memberikan hasil yang sama, sehingga sistem dapat digunakan untuk menentukan siswa penerima beasiswa berprestasi.
IMPLEMENTATION OF E-COMMERCE IN PERCETAKAN CITRA BERSAMA TANJUNGBALAI USING THE CRM METHOD Nurhikma Ritonga; Neni Mulyani; Rika Nofitri
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1031.564 KB) | DOI: 10.34288/jri.v4i2.156

Abstract

Citra Bersama Tanjungbalai Printing is a business engaged in selling printing products and services, established in 2006, located on Jalan Peninsula, Sirantau Village, Datuk Bandar District, Tanjungbalai City. The problems that occur in Citra Bersama Printing are not yet implementing an online sales system; customers have difficulty knowing sales information on the printing press. There is no information system to carry out promotions, and recording customer order data at the printing press is still done manually. Therefore, the E-commerce application uses the CRM method of web-based product sales and printing services to help buyers find various information and make it easier for buyers to place orders without coming directly to the printer. The application of E-commerce with the CRM method helps Tanjungbalai Citra Bersama Printing in conducting promotions and providing information related to the sale of products and services marketed to customers, as well as expanding sales of products and services sold due to promotional features, discount prices, customer data, live chat, and product ratings.
Implementation of Deep Learning using Convolutional Neural Network Method and Yolo Algorithm in Rupiah Banknote Detection System Neni Mulyani; Ganefri; Sukardi; Muhammad Sabir Ramadhan; Muhammad Amin
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.98189

Abstract

The application of deep learning has rapidly advanced across various sectors due to its ability to enhance effectiveness and efficiency in solving complex tasks. One promising implementation is in object detection, particularly in recognizing and identifying banknotes. This innovation is highly beneficial for individuals with visual impairments who often struggle to distinguish between currency denominations. Currently, people with vision loss still rely on manual techniques such as sorting by size or folding bills in specific patterns—methods that are inefficient and prone to error. This study developed a real-time banknote detection system using moving image input through a combination of Convolutional Neural Network (CNN) and the YOLOv4-tiny algorithm. The research employed a quantitative approach with software engineering methods and a Research and Development (R&D) design. The research subjects consisted of annotated digital images of the 2016 Indonesian Rupiah banknotes, comprising seven denominations and two image classes (front and back). A total of 1,260 images were used for training over 7,000 iterations, yielding a mean Average Precision (mAP) of 97.65%. Validation was conducted on 140 test images using cross-validation, resulting in an mAP of 97.5%. Additional evaluation was performed on banknotes in imperfect physical conditions (e.g., crumpled or folded), achieving an mAP of 88%. These findings indicate that the model demonstrates strong robustness under real-world conditions. Overall, the integration of CNN and YOLO in this system provides a practical solution for individuals with low vision to independently recognize Indonesian Rupiah banknotes, thereby enhancing financial accessibility and inclusion.
Machine Learning Implementation for Computer Network Performance Optimization Muhammad Sabir Ramadhan; Neni Mulyani; Muhammad Amin; Nizwardi Jalinus; Refdinal
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.98191

Abstract

Increasingly evolving digital era, optimizing computer network performance has become a critical priority to support the demands of high-speed, reliable, and adaptive connectivity. This study explores the application of Machine Learning (ML) techniques as a strategic approach to enhancing network performance, with a focus on three key algorithms: Random Forest for detecting anomalies, Long Short-Term Memory (LSTM) for predicting network traffic patterns, and Deep Reinforcement Learning (DRL) for optimizing routing decisions. These algorithms were selected based on their respective strengths in handling complex, high-dimensional network data and their ability to adapt to dynamic conditions. The experimental results demonstrate that the implementation of ML can significantly improve key network performance metrics. Specifically, network throughput increased by up to 21.7%, latency was reduced by 27.1%, and the packet loss rate decreased by 62.2%. These improvements suggest that ML-based approaches offer a promising direction for achieving more intelligent and efficient network management. However, the study also highlights several challenges that must be addressed for broader adoption. These include the dependency on high-quality, real-time data; the computational overhead required for model training and deployment; and potential vulnerabilities related to cybersecurity threats. In addition, the interpretability and transparency of complex ML models remain areas requiring further exploration. Overall, this research contributes to the growing field of ML-driven network optimization and provides a foundation for future advancements in autonomous, adaptive, and secure networking systems. It opens up new possibilities for the development of next-generation communication infrastructures that are smarter, more resilient, and performance-oriented.
PERANCANGAN SISTEM INFORMASI PENDATAAN CALON PENERIMA BEASISWA BAZNAS KABUPATEN ASAHAN Suci Ramadhani; Isma Auli Mahrani; Ryandini Dwi Agusti; Riri Khairunnisa; Neni Mulyani
JURNAL TEKNISI Vol. 4 No. 1 (2024): February 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v4i1.1756

Abstract

Abstract: Poverty is a serious problem in developing countries, including Indonesia, which has an impact on limited access to education. To address this issue, BAZNAS (National Amil Zakat Agency) is present as a zakat management institution that aims to alleviate poverty through programs such as scholarships. However, in practice, there are obstacles in the effectiveness and efficiency of the process of data collection and input of scholarship recipients' files. This study aims to develop a design of an information system for data collection of scholarship recipients at BAZNAS Kabupaten Asahan to assist in the data collection and input process of scholarship recipients' files. This system uses MySQL database and PHP programming through visual studio code software, and functions as a recommendation tool in the data collection of scholarship recipients. With this information system, it is expected to help BAZNAS in improving the accuracy and efficiency of the data collection and input process of scholarship recipients' files, so that the scholarship program can be more targeted and have a greater impact in efforts to alleviate poverty through education. Keywords: baznas; scholarship; poverty  Abstrak: Kemiskinan merupakan permasalahan serius di negara berkembang, termasuk Indonesia, yang berdampak pada keterbatasan akses pendidikan. Untuk mengatasi hal ini, lembaga BAZNAS (Badan Amil Zakat Nasional) hadir sebagai lembaga pengelola zakat yang bertujuan untuk mengentaskan kemiskinan melalui program-program seperti beasiswa. Namun, dalam praktiknya, terdapat kendala dalam efektivitas dan efisiensi dalam proses pendataan dan penginputan berkas calon penerima beasiswa. Penelitian ini bertujuan untuk membangun sebuah perancangan sistem informasi pendataan calon penerima beasiswa pada BAZNAS Kabupaten Asahan guna membantu proses pendataan dan penginputan berkas dari para calon penerima beasiswa. Sistem ini menggunakan database MySQL dan pemrograman php melalui software visual studio code, serta berfungsi sebagai alat rekomendasi dalam pendataan calon penerima beasiswa. Dengan adanya sistem informasi ini, diharapkan dapat membantu pihak BAZNAS dalam meningkatkan akurasi dan efisiensi dalam proses pendataan serta penginputan berkas calon penerima beasiswa, sehingga program beasiswa dapat lebih tepat sasaran dan memberikan dampak yang lebih besar dalam upaya mengentaskan kemiskinan melalui pendidikan.Kata Kunci: baznas; beasiswa; kemiskinan.
PERANAN E-COMMERCE DALAM PENGEMBANGAN BISNIS PADA PKK Jeperson Hutahaean; Neni Mulyani; Zulfi Azhar; Adinda Salsabila; Dewi Ananda
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 1 (2024): Februari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i1.19736

Abstract

Abstrak: Untuk mempercepat dan meningkatkan penjualan cepat maka dengan melihat perkembangan teknologi informasi yang sangat pesat tersebut kita dapat memanfaatkan suatu layanan secara online yang berupa e-commerce. PKK Desa Mekar Sari Kabupaten Asahan, memiliki banyak aktifitas yang aktif dilakukan pada beberapa daerah di lingkungan Desa Mekar Sari, diataranya menjalankan proses bisnis secara konvensional. Dengan pengetahuan teknologi seperti peranan E-commerce dalam pengenbangan bisnis diharapkan dapat diaplikasikan dan digunakan dalam mempermudah sebagai media promosi dan transakdi bisnis dalam pengembangan penjualan dan pembelian produk. Tujuan kegiatan pengabdian kepada masyarakat adalah meningkatkan kemampuan tim PKK Desa Mekar Sari dalam memahami dan mengimplementasikan proses bisnis secara e-commerce dengan pengelolaan toko online. Metode pelatihan yang dilaksanakan dengan cara diskusi dan praktek untuk menyampaikan pengetahuan pengenalan komputer dan latihan penggunaan aplikasi e-commerce kepada 1 mitra, tim PKK Desa Mekar Sari Kabupaten Asahan. Kegiatan ini menggunakan pengetahuan secara teori dan praktek di ruangan. Hasil penilaian akhir kegiatan, para peserta dapat memahami materi yang disampaikan berdasarkan dari hasil perolehan angka penilaian dari hasil uji posttest. Peserta pelatihan berhasil menyelesaikan pencapaian pelatihan ini dengan baik dari hasil nilai pre-test rata-rata 90,4%.. Penyampaian materi terdiri dari beberapa sesi, yaitu: penjelasan, praktek , dan diskusi.Abstract: To speed up and increase sales quickly, by looking at the very rapid development of information technology, we can take advantage of an online service in the form of e-commerce. PKK Desa Mekar Sari Village, Asahan Regency, has many active activities carried out in several areas within Desa Mekar Sari Village, including carrying out conventional business processes. With technological knowledge such as the role of E-commerce in business development, it is hoped that it can be applied and used to facilitate promotional media and business transactions in developing product sales and purchases. The aim of community service activities is to improve the ability of the Desa Mekar Sari, Village PKK team in understanding and implementing e-commerce business processes by managing online stores. The training method is carried out by means of discussion and practice to convey computer knowledge and practice using e-commerce applications to 1 partner, the PKK team in Desa Mekar Sari, Asahan Regency. This activity uses theoretical and practical knowledge in the room. As a result of the final assessment of the activity, the participants were able to understand the material presented based on the results of the assessment scores obtained from the posttest test results. The activity material provided to participants can be used and utilized in business development through E-Commerce. The training participants successfully completed this training achievement with an average pretest score of 90.4%. The delivery of the material consists of several sessions, namely: explanation, practice, and discussion.
E-COMMERCE PADA PERCETAKAN KARYA REKLAME KISARAN MENGGUNAKAN  FRAMEWORK CODEIGNITER Intan Sri Hartina Kumala Sari; Neni Mulyani; M. Ardiansyah Sembiring
Journal Computer Science and Applied Technology Vol. 2 No. 1 (2024): J-CSAT - Februari
Publisher : PT. Cahaya Pena Tech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67401/j-csat.v2i1.15

Abstract

Perkembangan teknologi informasi mendorong pemanfaatan Electronic Commerce sebagai media pemasaran dan transaksi secara digital. E-commerce merupakan sistem perdagangan yang mencakup proses distribusi, penjualan, pembelian, dan pelayanan produk melalui media elektronik seperti internet. Penelitian ini bertujuan merancang dan membangun website e-commerce pada Percetakan Karya Reklame guna meningkatkan kualitas pelayanan dan mempermudah proses transaksi pelanggan. Metode pengembangan sistem menggunakan CodeIgniter, yaitu framework berbasis PHP yang ringan dan mendukung pengembangan aplikasi web secara cepat dan terstruktur. Objek penelitian adalah Percetakan Karya Reklame yang bergerak di bidang percetakan undangan pernikahan, spanduk, kop surat, amplop, kotak nasi, dan produk percetakan lainnya. Hasil penelitian menunjukkan bahwa website e-commerce yang dibangun mampu membantu konsumen memperoleh informasi produk, melakukan pemesanan secara online, serta meningkatkan efektivitas pelayanan pada Percetakan Karya Reklame.
IMPLEMENTASI METODE CERTAINTY FACTOR PADA SISTEM PAKAR DIAGNOSIS PENYAKIT DISENTRI Windy Irmayanti; Neni Mulyani; Rizaldi
Journal Computer Science and Applied Technology Vol. 4 No. 1 (2026): J-CSAT - Februari
Publisher : PT. Cahaya Pena Tech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67401/j-csat.v4i1.31

Abstract

Disentri merupakan salah satu penyakit infeksi saluran pencernaan yang ditandai dengan diare disertai lendir atau darah, yang jika tidak ditangani secara cepat dapat menyebabkan dehidrasi akut hingga kematian. Keterbatasan jumlah dokter spesialis anak atau ahli gastroenterologi di fasilitas kesehatan daerah sering kali mengakibatkan keterlambatan diagnosis awal bagi pasien. Penelitian ini bertujuan untuk menerapkan metode Certainty Factor (CF) dalam membangun sebuah sistem pakar yang mampu mendiagnosis penyakit disentri berdasarkan gejala-gejala yang dirasakan oleh pasien. Metode CF digunakan untuk mengatasi ketidakpastian dalam penalaran klinis dengan cara menghitung nilai Measure of Belief (MB) dan Measure of Disbelief (MD) yang bersumber dari pengetahuan seorang pakar (dokter). Proses rekayasa perangkat lunak dalam penelitian ini menggunakan model Waterfall, mulai dari analisis kebutuhan hingga pengujian fungsionalitas sistem. Sistem pakar berbasis web yang dihasilkan dapat mengolah data gejala inputan pengguna, melakukan inferensi aturan (rule-based reasoning), dan menampilkan hasil diagnosis penyakit beserta tingkat keyakinan dalam bentuk persentase, serta memberikan rekomendasi tindakan penanganan awal. Pengujian sistem menggunakan metode Black-Box Testing menunjukkan seluruh fungsi berjalan dengan baik, dan uji akurasi klinis menunjukkan bahwa hasil komputasi sistem memiliki tingkat keselarasan yang tinggi dengan diagnosis manual pakar. Sistem ini diharapkan dapat menjadi alat bantu skrining awal yang efektif bagi masyarakat maupun tenaga medis di puskesmas atau rumah sakit
Co-Authors Ade Mayhaky Adinda Salsabila Agung Prasetio Ahmad Muhazir Ahmad Zein Hasibuan Akmal Nasution Aldy Sudrajat Andi Sapta Andy Sapta Aulia Kartika Aulia Kartika Aulia Khairani Nasution Aulia khairani Nasution Ayu Ambarwati Azmi Dwi Andira Putri, Aulia Bobby Anggara Azhari Dea Amanda Sari Lubis Dewi Ananda Dewi Harwini Dhiah Novalina Dinda Nuri Fazira Elly Rahayu Endra Saputra Farenza, Dinda Novri Febby Madonna Yuma Fitri Hadanyani Ganefri Hanim Setya Ningrum Haryansyah Sitorus Hommy Dorothy Ellyany Sinaga Hutahean, Jeperson Indah Kurnia Ingrid Sartika Putriayu Sihite Intan Sri Hartina Kumala Sari Irawati, Novica Irianto Irianto Isma Auli Mahrani Iwan Adhicandra Jayawarsa, A.A. Ketut Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jihan Aulia Putri Fahdrina Jihan Aulia Putri Fahdrina Kifti, Wan Mariatul Kiki Andriani Lola Zeramenda Tarigan M. Ardiansyah Sembiring Maelani, Maelani Masitah Handayani Maulida, Vivi Muh Saleh Malawat Muhammad Amin Mustika Fitri Larasati Sibuea Nasrun Marpaung Nizwardi Jalinus Novica Irawati Novrini Hasti Nurhidayanti Nurhidayanti Nurhikma Ritonga Putri Fahdrina, Jihan Aulia Rafika Dayanti Rahayu, Elly Ramadhan, Muhammad Sabir Ramadhani, Andrew Refdinal Rika Nofitri Rima Ruktiari Ismail Riri Khairunnisa Rizaldi Rozi Juliantika Ryandini Dwi Agusti Sapriyanti Sapriyanti Siagian, Yessica Sisca Sri Dewi Sri Hidayanti Suci Ramadhani Sudarmin Sudarmin Sukardi Syahdila Valentina Simanjuntak, Sarih Tia Zulaika Aulia Pane Umbari Putri, Lia USWATUN HASANAH Wardani, Duhita Savira Wawa Salsabilla Widyantara, Aji Bagus Windy Irmayanti Yessica Siagian Yohana Dela Vega Yori Apridonal M Yuliana, Siska Yusuf Gunawan Zulfi Azhar Zulfi Azhar