Article Per Year (5 Year)
p-Index From 2021 - 2026
3.892
P-Index
This Author published in this journals
All Journal Sistemasi: Jurnal Sistem Informasi JITK (Jurnal Ilmu Pengetahuan dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Jurnal Tunas J-SAKTI (Jurnal Sains Komputer dan Informatika) J-Com (Journal of Computer) Bulletin of Information Technology (BIT) Journal of Computer Science and Informatics Engineering Journal of Information Systems and Technology Research Jurnal Algoritma Jurnal Informatika dan Teknologi Informasi Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Journal Of Indonesian Social Society Nuansa Informatika Bigint Computing Journal
Irawati, Novica
Unknown Affiliation
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 29 Documents
Search

 1   2   3 
IMPLEMENTATION OF SINGLE EXPONENTIAL SMOOTHING METHOD DEMAND FOR HERBAL MEDICINE TO DC RIA SARI ANGGRIANI Zannah, Nur; Irawati, Novica; Andriyani, Suci
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 1 (2023): Desember 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i1.2544

Abstract

Abstract: Distributor Center (DC) Ria Sari, one of the official herbal medicine agents from PT HPAI (Herba Penawar Alwahida Indonesia) company. Sales of herbal medicines at the Ria Sari Anggriani Distributor Center (DC) often experience instability. Where in the period March 2022 to May 2022 there was a significant increase in sales. This resulted in the Ria Sari Anggriani Distributor Center (DC) being unable to serve requests for available herbal medicines. So that it becomes an obstacle in the stock of herbal medicines that must be prepared. If there are too many drug stocks but the demand for herbal medicines is decreasing then this will result in a loss, conversely if the demand for medicines increases but the stock of herbal medicines cannot be prepared then this will be a loss for DC Ria Sari Anggriani. For this reason, it is necessary to do a forecasting/prediction technique, using the Single Exponential Smoothing Method . The purpose of the forecasting/prediction will be to assist in terms of the supply of herbal medicines in the following month's period. The results of testing this method were obtained in the period June 2023, requests for 167 herbal medicines, 178 Extra foods, 189 Etta Goat Milk, 91 Herbal Toothpastes, 74 products of Propolis Soap.            Keywords: herbal medicine; prediction; single exponential smoothing  Abstrak: Distributor Center (DC) Ria Sari salah satu agen resmi obat herbal dari perusahaan PT HPAI (Herba Penawar Alwahida Indonesia). Penjualan obat herbal pada Distributor Center (DC) Ria Sari Anggriani sering terjadi ketidak stabilan. Dimana pada periode Maret 2022 sampai dengan Mei 2023 terjadi kenaikan penjualan yang seknifikan. Ini mengakibatkan Distributor Center (DC) Ria Sari Anggriani tidak dapat melayani permintaan akan obat herbal yang tersedia.  Sehingga menjadi kendala dalam stok obat herbal yang harus disiapkan. Jika stok obat terlalu banyak namun permintaan akan obat herbal menurun maka ini akan manjedi kerugian, sebaliknya jika permintaan akan obat meningkat namun stok obat herbal tidak dapat disiapkan maka ini menjadi kerugian bagi DC Ria Sari Anggriani. Untuk itu perlu dilakukan suatu teknik peramalan/prediksi, menggunakan Metode Single Exponential Smoothing (SES). Tujuan dari peramalan/prediksi nantinya dapat membantu dalam hal penyediaan akan obat herbal pada periode bulan berikutnya. Hasil dari pengujian terhadap metode ini diperoleh pada periode Juni 2023, perminaan akan obat herbal 167 , Extrafood 178, Etta Goat Milk 189, Pasta Gigi Herbal 91, Sabun Propolis 74 produk. Hasil simpulan dari penelitian ini koefisien nilai alpha (α) mempengaruhi seberapa besar pengaruh data masa lalu terhadap peramalan masa depan. Kata Kunci: obat herbal; prediksi; single exponential smoothing 
IMPLEMENTATION OF THE USE E-CRM IN IMPROVING OPERATIONAL EFFICIENCY AND PROFITABILITY AT GALLERYPARFUME WEB-BASED Syahillah, Bella; Irawati, Novica; Dewi, Muthia
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 1 (2024): Desember 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i1.3344

Abstract

Abstract: Gallery Parfume Shop is a business engaged in cosmetics located on Jalan Merdeka, Simpang Empat, Kec. Tanjung Tiram, Kab. Batu Bara, North Sumatra. In the procedures and management of sales management at Gallery Parfume is still done manually, the reports are still recorded in notes the impact of this is that Gallery Parfume has difficulty in evaluating their sales performance, identifying market trends, and planning effective sales strategies and also difficulty building loyalty. Therefore, a system is needed, by implementing E-CRM at Gallery Parfume can get new customers, improve customer relationships, and retain customers, which will ultimately create customer loyalty and to measure the increase in profitability resulting from the use of E-CRM into a web-based application so that it will later facilitate increasing sales, customer loyalty, and saving operational costs. The method used to collect and analyze this research data is a qualitative method. It is expected that through this web application it can also build a database to make it easier for Gallery Parfume to search for data and reports.Keywords: consumers; e-crm; stores Abstrak: Toko Gallery Parfume merupakan usaha yang bergerak dibidang kosmetik yang berada dijalan Merdeka, Simpang Empat, Kec. Tanjung Tiram, Kab. Batu Bara, Sumatera Utara. Dalam prosedur dan manajemen pengelolaan penjualan di Gallery Parfume masih dilakukan secara manual, laporan nya masih tercatat  di notes dampak dari hal tersebut gallery Parfume kesulitan dalam mengevaluasi kinerja penjualan mereka, mengidentifikasi tren pasar, dan merencanakan strategi penjualan yang efektif  juga kesulitan membangun loyalitas. Maka dengan hal itu diperlukan sebuah sistem, dengan menerapkan E-CRM di Gallery Parfume dapat memperoleh pelanggan baru, meningkatkan hubungan dengan pelanggan, dan mempertahankan pelanggan, yang pada akhirnya akan terciptanya loyalitas pelanggan dan untuk mengukur peningkatan profitabilitas yang dihasilkan dari penggunaan E-CRM kedalam bentuk aplikasi berbasis web agar nantinya memudahkan dalam peningkatan penjualan, loyalitas pelanggan, dan penghematan biaya operasional. Metode yang digunakan untuk mengumpulkan dan menganalisis data penelitian ini dengan metode kualitatif. Diharapankan melalui aplikasi web ini juga dapat membangun database guna memudahkan Gallery Parfume dalam mencari data dan laporan.Kata Kunci: e-crm; konsumen; toko
Bijak Menyikapi Aplikasi Pinjaman Tanpa Agunan Bagi Ibu-Ibu Darmawanita Pada Dinas Lingkungan Hidup Kabupaten Asahan Irawati, Novica; Siagian, Yessica; Sinaga, Hommy Dorthy Ellyany; Syah, Arridha Zikra
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 8 No. 1 (2025): Januari 2025
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v8i1.3653

Abstract

Personal finance skills are one of the important competencies that young people need to have in facing future economic challenges, given the increasingly complex global financial dynamics and the need to be able to manage resources effectively in order to survive and thrive amid economic uncertainty. However, the level of financial literacy among vocational high school (SMK) students is still relatively low, as reflected in the results of the National Survey on Financial Literacy and Inclusion by OJK (2019) which shows that only 38.03% of Indonesians have adequate financial literacy, including among students. Of the 30 samples used by using the method of sharing, discussion, and case studies on each student, many were still found to be unable to manage their finances. This financial training has succeeded in providing a basic understanding of good financial management to students of SMK Negeri 1 Kisaran. Through the material presented, students can apply the knowledge gained in their daily lives, from managing expenses, saving, to planning for the future.Keywords: financial literacy; financial skills; training vocational high school students Abstrak: Keterampilan keuangan pribadi merupakan salah satu kompetensi penting yang perlu dimiliki oleh generasi muda dalam menghadapi tantangan ekonomi di masa depan, mengingat semakin kompleksnya dinamika keuangan global dan kebutuhan untuk dapat mengelola sumberdaya secara efektif agar dapat bertahan dan berkembangan di tengah ketidakpastian ekonomi. Namun, tingkat literasi keuangan di kalangan siswa sekolah menengah kejuruan (SMK) masih tergolong rendah, sebagaimana tercermin dalam hasil Survei Nasional Literasi dan Inklusi Keuangan oleh OJK (2019) yang menunjukkan bahwa hanya 38,03% masyarakat Indonesia yang memiliki literasi keuangan yang memadai, termasuk di kalangan pelajar. Kegiatan ini dilakukan oleh team dosen universitas royal dimana sampelnya sebanyak 30 orang yang merupakan siswa Sekolah Menengah Kejurusan Negeri 1 Kisaran dalam penyampaian materi digunakan dengan menggunakan metode sharing, diskusi, dan studi kasus pada masing-masing siswa.  Pelatihan keuangan memberikan pemahaman dasar tentang pengelolaan keuangan yang baik kepada siswa SMK Negeri 1 Kisaran. Melalui materi yang disampaikan, siswa dapat menerapkan ilmu yang diperoleh dalam kehidupan sehari-hari, mulai dari mengatur pengeluaran, menabung, hingga merencanakan masa depan.Kata Kunci: Keterampilan keuangan; literasi keuangan; pelatihan siswa SMK, pengelolaan keuangan pribadi 
PENGELOLAAN PERSEDIAAN BAHAN BAKU NON PERISHABLE FOOD MENGGUNAKAN MODEL SCM (STUDI KASUS : RITZ CAFE) Arhani, Riza; Irawati, Novica; Muhazir, Ahmad
J-Com (Journal of Computer) Vol. 3 No. 3 (2023): November 2023
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v3i3.2822

Abstract

Abstract: Technological progress and development is increasingly rapid and rapid and cannot be avoided in life. Every innovation is created to bring positive benefits to human life. Ritz Cafe Kisaran is a well-known restaurant and has been established for a long time in Asahan district, but this restaurant does not yet have a computerized raw material inventory management system. The aim of this research is to create a non-perishable food inventory management system using the Supply Chain Management model so that the operational function of raw material inventory management in restaurants becomes more effective, efficient and structured. The research method used in this research is a descriptive method with a qualitative approach and uses data analysis and uses a Supply Chain Management model including planning, procurement, production, warehouse management, order delivery and order returns. The result of this research is a web-based non-perishable food inventory management system that can manage raw material inventory, minimize the occurrence of ordering errors, raw material stock information can be processed automatically, as well as all existing processes in a The restaurant will be well integrated and useful in anticipating errors and losses for Ritz Cafe Kisaran. Keywords: inventory; non perishable food; supply chain management; xampp Abstrak: Kemajuan dan perkembangan teknologi semakin cepat dan pesat serta tidak dapat dihindari dalam kehidupan. Setiap inovasi diciptakan untuk membawa manfaat positif bagi kehidupan manusia. Ritz Cafe Kisaran merupakan salah satu restoran terkenal dan sudah lama berdiri di kabupaten Asahan namun restoran ini belum mempunyai sistem pengelolaan persediaan bahan baku yang terkomputerisasi. Tujuan pada penelitian ini yaitu untuk membuat suatu sistem pengelolaan persediaan bahan baku yang tidak mudah rusak (non perishable food) dengan menggunakan model Supply Chain Management agar fungsi operasional pengelolaan persediaan bahan baku di restoran menjadi lebih efektif, efesien dan terstruktur. Metode penelitian yang digunakan dalam penelitian ini adalah metode deskriptif dengan pendekatan kualitatif dan menggunakan analisis data serta menggunakan model Supply Chain Management meliputi perencanaan, pengadaan (procurement), produksi, pengelolaan gudang, pengiriman pesanan, dan pengembalian pesanan. Hasil dari penelitian ini adalah sebuah sistem pengelolaan persediaan bahan baku yang tidak mudah rusak (non perishable food) berbasis web yang dapat mengelola persediaan bahan baku, meminimalkan terjadinya kesalahan pemesanan, informasi stok bahan baku dapat diolah secara otomatis, serta seluruh proses yang ada di sebuah restoran akan terintegrasi dengan baik serta bermanfaat dalam mengantisipasi kesalahan dan juga kerugian bagi Ritz Cafe Kisaran. Kata Kunci: persediaan; bahan baku tidak mudah rusak; manajemen rantai pasok; xampp 
Penerapan Supply Chain Management untuk Efisiensi Rantai Pasok Produk Cokelat Milandari, Novi; Irawati, Novica; Rahayu, Elly
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2974

Abstract

Business competition in the era of globalization demands that companies operate quickly, efficiently, and adaptively, including in the snack food industry. PT Halven Jaya, as a distributor of chocolate products, continues to face distribution challenges, such as high levels of leftover inventory, frequent product damage, and sales revenue that has yet to meet targets. These conditions indicate inefficiencies in the supply chain, which directly impact company performance and customer satisfaction. This study aims to design and implement a web-based Supply Chain Management (SCM) system to improve product distribution efficiency. The research employed a descriptive qualitative method through interviews, observations, and documentation at PT Halven Jaya. Analysis was conducted to identify weaknesses in distribution, design a system solution, and test the implementation of the SCM software. The results indicate that the developed SCM system can record incoming and outgoing stock, detect damaged products, and provide real-time distribution reports. Its implementation reduces the risk of overstock and product damage, enhances transparency in the distribution flow, and provides strategic information for management in decision-making. Thus, the implementation of a web-based SCM system has been proven to increase operational effectiveness, improve cost efficiency, and support the achievement of company sales targets. These findings offer important managerial implications for enhancing strategic decision-making in supply chain management.
COMPARATIVE ANALYSIS OF HYPERPARAMETER OPTIMIZATION TECHNIQUES ON LIGHTGBM FOR ASTHMA PREDICTION Azmi, Zulfian; Julita, Rina; Irawati, Novica; Pariyasto, Sofyan; Purwawijaya, Ellanda
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.7369

Abstract

This study presents a comparative study of hyperparameter optimization methods applied to the Light Gradient Boosting Machine (LightGBM) algorithm for asthma prediction. Traditional machine learning models often face limitations in accuracy and generalization capabilities due to suboptimal hyperparameter configurations. To address these challenges, this study evaluates and compares four approaches: Default LightGBM, RandomizedSearchCV, Optuna Optimization, and Bayesian Optimization. Experimental results show that Bayesian Optimization provides the best performance with an accuracy of 78%, a precision of 0.7778, a recall of 0.7778, an F1-score of 0.7778, and an ROC-AUC of 0.975. These findings emphasize the importance of selecting an appropriate optimization strategy to improve model performance in clinical prediction tasks. Overall, this study confirms the effectiveness of Bayesian Optimization in improving the predictive capabilities of LightGBM and provides an important contribution to the development of decision support systems in healthcare, particularly in the diagnosis and management of asthma
DARI DAUN KE PASAR GLOBAL: MBKM WUJUDKAN DUSUN ECOPRINT UNGGULAN EKSPOR MELALUI PEMBERDAYAAN PEREMPUAN DI DESA PEMATANG JOHAR Sinaga, Hommy Dorthy Ellyany; Maryati Manik, Desma Erica; Irawati, Novica; Kanchawongpaisan, Sipnarong; Abd.Rashid, Muhammad Hafiz; Giang, Phan Bao; Afiani, Ayu
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 5, No 2 (2025): Desember 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i2.5576

Abstract

Abstract: This Community Service Program aims to broaden the knowledge and awareness of women from PKK groups and the local community of Pematang Johar Village regarding ecoprint as an environmentally friendly creative product based on local resources with economic potential. Pematang Johar Village is an agrarian area with 18 existing flagship products from various hamlets, yet ecoprint has never been introduced or developed. The activity was conducted through several stages, including preparation, socialization, and educational sessions using video presentations to demonstrate the ecoprint production process and digital marketplace platforms for product marketing. This program was implemented as an international community service activity involving collaboration between STIE Eka Prasetya and partner universities from Thailand, Malaysia, and Vietnam. Approximately 30 participants consisting of PKK members and village residents attended the activity. The results indicate that participants gained new cognitive skills, developed a new perspective on utilizing local leaves as creative resources, and showed strong interest in further developing ecoprint as a village-based economic activity. The evaluation results show a participant satisfaction rate of 98 percent. This program represents an initial step toward women empowerment and the development of ecoprint as a potential new flagship product oriented toward the global market.                Keywords: ecoprint; community service; global marketing; village creative economy; women empowerment Abstrak: Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk membuka wawasan dan meningkatkan pengetahuan ibu ibu PKK serta masyarakat Desa Pematang Johar mengenai ecoprint sebagai produk kreatif berbasis potensi lokal yang ramah lingkungan dan bernilai ekonomi. Desa Pematang Johar merupakan desa agraris dengan 18 produk unggulan dari berbagai dusun, namun ecoprint belum pernah diperkenalkan maupun dikembangkan sebelumnya. Metode kegiatan dilaksanakan secara bertahap, dimulai dari persiapan, sosialisasi, dan edukasi melalui pemutaran video proses pembuatan ecoprint serta pengenalan pemasaran produk melalui marketplace digital. Kegiatan ini merupakan PKM internasional yang melibatkan kolaborasi antara STIE Eka Prasetya dengan mitra perguruan tinggi luar negeri dari Thailand, Malaysia, dan Vietnam. Kegiatan diikuti oleh sekitar 30 peserta yang terdiri dari ibu ibu PKK dan masyarakat desa. Hasil kegiatan menunjukkan bahwa peserta memperoleh keterampilan baru secara kognitif, perubahan cara pandang terhadap pemanfaatan dedaunan lokal, serta meningkatnya minat untuk mengembangkan ecoprint sebagai potensi ekonomi desa. Hasil evaluasi menunjukkan tingkat kepuasan peserta sebesar 98 persen. Kegiatan ini menjadi tahap awal dalam upaya pemberdayaan perempuan dan pengembangan ecoprint sebagai produk unggulan baru yang berorientasi pada pasar global. Kata kunci: ecoprint; ekonomi kreatif desa; pemasaran global; pemberdayaan perempuan; pengabdian kepada masyarakat
Perbandingan Metode ARAS dan TOPSIS untuk Menentukan Siswa Penerima Beasiswa Berprestasi Hutahaean, Jeperson; Mulyani, Neni; Handayani, Masitah; Irianto, Irianto; Irawati, Novica
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.
COMPARATIVE ANALYSIS OF HYPERPARAMETER OPTIMIZATION TECHNIQUES ON LIGHTGBM FOR ASTHMA PREDICTION Azmi, Zulfian; Julita, Rina; Irawati, Novica; Pariyasto, Sofyan; Purwawijaya, Ellanda
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.7369

Abstract

This study presents a comparative study of hyperparameter optimization methods applied to the Light Gradient Boosting Machine (LightGBM) algorithm for asthma prediction. Traditional machine learning models often face limitations in accuracy and generalization capabilities due to suboptimal hyperparameter configurations. To address these challenges, this study evaluates and compares four approaches: Default LightGBM, RandomizedSearchCV, Optuna Optimization, and Bayesian Optimization. Experimental results show that Bayesian Optimization provides the best performance with an accuracy of 78%, a precision of 0.7778, a recall of 0.7778, an F1-score of 0.7778, and an ROC-AUC of 0.975. These findings emphasize the importance of selecting an appropriate optimization strategy to improve model performance in clinical prediction tasks. Overall, this study confirms the effectiveness of Bayesian Optimization in improving the predictive capabilities of LightGBM and provides an important contribution to the development of decision support systems in healthcare, particularly in the diagnosis and management of asthma
Co-Authors Abd.Rashid, Muhammad Hafiz Abda Abda Afiani, Ayu andriyani, suci Arhani, Riza Arridha Zikra Syah Astuti, Bela Asyahri Hadi Nasyuha Azmi, Zulfian Damanik, Rissa Azzahra EKA RAHAYU Ellanda Purwawijaya Giang, Phan Bao Handayani, Masitah Helmiah, Fauriatun Irianto Irianto Jeperson Hutahaean Johny, Johny Julita, Rina Kanchawongpaisan, Sipnarong Larasati, Mustika Fitri Latifah Hanum Maryati Manik, Desma Erica Maulana, Alfarizi Maulana, Cecep Milandari, Novi Muhazir, Ahmad Muthia Dewi Nabila, Andini Nata, Andri Pariyasto, Sofyan Pratiwi, Radila Rahayu, Elly Rahman, Arief Fathur Ramadhani, Winda Ayu Ricki Ananda Rika Nofitri Saragih, Sisca Sri Dewi Sari, Ade Mutiara Sarmila, Sarmila Siagian, Yessica Simargolang, Muhammad Yasin Sinaga, Hommy Dorthy Ellyany Sumantri Sumantri Syafnur, Afdhal Syahillah, Bella Umbari Putri, Lia Utami, Dwi Kurnia Utami, Lola Citra Yustria Handika Siregar Zannah, Nur Zulfi Azhar