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All Journal Jurnal Matematika BIMASTER Epsilon: Jurnal Matematika Murni dan Terapan CESS (Journal of Computer Engineering, System and Science) BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) KABILAH : Journal of Social Community Jurnal Pendidikan Sejarah dan Riset Sosial Humaniora (KAGANGA) BULETIN AL-RIBAATH Jambura Journal of Mathematics GERVASI: Jurnal Pengabdian kepada Masyarakat Sarwahita : Jurnal Pengabdian Kepada Masyarakat M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Variance : Journal of Statistics and Its Applications International Journal of Economics, Business and Accounting Research (IJEBAR) Jurnal Pendidikan Dasar Perkhasa Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Mathematics Education and Science AR-RIAYAH : Jurnal Pendidikan Dasar Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi CENDEKIA : Jurnal Ilmu Pengetahuan Journal of Community Development Empiricism Journal Jurnal Eurekamatika Jurnal Forum Analisis Statistik Pattimura International Journal of Mathematics (PIJMath) STATISTIKA Bina Bahari : Jurnal Pengabdian Kepada Masyarakat Equiva
Neva Satyahadewi
Program Studi Statistika Fakultas MIPA Universitas Tanjungpura, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Pelatihan Aplikasi Mendeley Sebagai Manajemen Referensi bagi Mahasiswa Peserta Magang dan Studi Independen Bersertifikat Satyahadewi, Neva; Warsidah, Warsidah; Nabil, Ilhan Nail
Journal of Community Development Vol. 4 No. 3 (2024): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v4i3.183

Abstract

Compiling a list of references is often an obstacle in completing a scientific work, which then presents applications that can help with this problem. Mendeley software is one of the many applications that is very helpful in compiling a list of citations in a scientific work. It is a very popular application or software with millions of users in academic circles. The large number of students who do not know and understand this application has encouraged Mendeley application training activities for MSIB student participants at the Papua Central Statistics Agency. This activity aims to improve the ability of MSIB participating students in compiling a list of references or references in writing written work. The activity was attended by 28 students from various study programs from various universities throughout Indonesia. This training activity was carried out over 2 days and used lecture, discussion and practice methods. From the results of the activity evaluation through reviewing written work using the Mendeley application, it shows that all participants were able to write written works using the Mendeley application as a reference manager. On the first day the percentage of participants' ability when operating the application was only 36%, then after training on the second day the percentage increased to 100% or all participants were able to understand the use of the Mendeley application due to direct practice in using the application, thereby providing participants with an understanding of both theory, practice and discussions held during the training.
Proyeksi Peningkatan Perekonomian melalui Pemanfaatan Bonus Demografi 2040 Satyahadewi, Neva; Amir, Amriani; Hendrianto, El
Kaganga:Jurnal Pendidikan Sejarah dan Riset Sosial Humaniora Vol 6 No 2 (2023): Kaganga:Jurnal Pendidikan Sejarah dan Riset Sosial Humaniora
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/kaganga.v6i2.7943

Abstract

Tujuan penelitian ini utnuk mengetahui proyeksi peningkatan perekonomian melalui pemanfaatan bonus demografi 2040. Penelitian ini menggunakan metode analisis deskriptif kualitatif. Hasil Penelitian bahwa bonus demografi menawarkan peluang emas, di mana kebanyakan penduduk berada dalam usia produktif, memungkinkan pertumbuhan ekonomi yang luar biasa. Namun, kemajuan teknologi, terutama dalam bidang kecerdasan buatan, membawa dampak besar terhadap struktur pasar tenaga kerja. kemudahan akses pendidikan dan peningkatan keterampilan bagi angkatan kerja harus dimulai sedini mungkin serta kolaborasi antara pemerintah dan swasta sangat penting untuk memastikan angkatan kerja Indonesia dapat terserap oleh industry. Simpulan penelitian ini menunjukakan dengan adanya visi jelas, strategi yang tepat, dan kolaborasi yang kokoh antara pemerintah, industri, dan masyarakat, Indonesia dapat memanfaatkan bonus demografi ini untuk menciptakan masa depan yang sejahtera dan berkelanjutan. Kata Kunci: Bonus Demografi, Produktif, Revolusi Industri 4.0
PEMODELAN GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION DALAM PENENTUAN STATUS GIZI BURUK BERDASARKAN PROVINSI DI INDONESIA Arsyi, Fritzgerald Muhammad; Satyahadewi, Neva; Perdana, Hendra
Bimaster : Buletin Ilmiah Matematika, Statistika dan Terapannya Vol 13, No 4 (2024): Bimaster : Buletin Ilmiah Matematika, Statistika dan Terapannya
Publisher : FMIPA Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/bbimst.v13i4.78049

Abstract

Gizi merupakan suatu proses penggunaan makanan yang dikonsumsi yang dibutuhkan oleh anak khususnya balita dalam jumlah banyak. Gizi buruk merupakan tingkat keparahan terjadinya kekurangan gizi yang terjadi setiap tahun. Upaya penanganan gizi buruk tidak dapat dilakukan di setiap provinsi karena banyak faktor yang berpengaruh, salah satunya faktor geografis. Penelitian ini bertujuan untuk menentukan model terbaik dalam penentuan status gizi buruk berdasarkan provinsi di Indonesia dengan menggunakan GWLR. Variabel yang digunakan dalam penelitian ini terbagi menjadi dua, yaitu variabel dependen (Y) dan variabel independen (X). Variabel independen yang digunakan adalah Cakupan Imunisasi, Bayi mendapat ASI, Pemberian Vitamin A, Sanitasi yang layak, Penduduk Miskin, Air Minum Layak, Balita dipantau pertumbuhan dan Perkembangan, dan Kunjungan Neonatal. Variabel dependen yang dianalisis adalah status gizi balita. Hasil Penelitian yaitu analisis global dengan menggunakan regresi logistik menunjukkan bahwa terdapat 3 variabel yang berpengaruh signifikan terhadap gizi buruk pada balita di Indonesia. Variabel-variabel tersebut adalah cakupan bayi yang mendapatkan ASI, balita yang dipantau tumbuh kembangnya, dan cakupan kunjungan neonatal lengkap. Sedangkan secara lokal menggunakan GWLR dengan pembobot Adaptive Tricube Kernel, terdapat 34 model yang terbagi lima kelompok berdasarkan variabel yang berpengaruh. Model GWLR dengan pembobot Adaptive Tricube Kernel memiliki ketepatan klasifikasi sebesar 94,1% adalah model terbaik dibandingkan dengan model regresi logistik yang memiliki ketepatan klasifikasi sebesar 82,4%.Kata Kunci:  GWLR, Fungsi Kernel, Malnutrisi
REGRESI LOGISTIK ORDINAL DENGAN PROPORTIONAL ODDS MODEL PADA KELENGKAPAN IMUNISASI DASAR BALITA KALIMANTAN BARAT Rahmawati, Fenti Nurdiana; Satyahadewi, Neva; Martha, Shantika; Kusnandar, Dadan
Bimaster : Buletin Ilmiah Matematika, Statistika dan Terapannya Vol 13, No 6 (2024): Bimaster : Buletin Ilmiah Matematika, Statistika dan Terapannya
Publisher : FMIPA Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/bbimst.v13i6.87661

Abstract

Kalimantan Barat menduduki posisi tujuh terendah pada persentase imunisasi dasar lengkap tahun 2022. Regresi logistik ordinal dapat digunakan untuk menentukan faktor yang memengaruhi kelengkapan imunisasi. Salah satu model yang umum digunakan dalam regresi logistik ordinal adalah proportional odds model. Data yang digunakan merupakan data sekunder yang berasal dari Badan Pusat Statistik (BPS) yakni data Survei Sosial-Ekonomi Nasional (Susenas) 2022. Sampel penelitian sebanyak 277 memiliki kriteria anak balita usia 12-59 bulan yang melakukan imunisasi dan tidak imunisasi di Provinsi Kalimantan Barat. Variabel dependen yang digunakan yaitu kelengkapan imunisasi, sedangkan variabel independennya yaitu daerah administratif (X1), kepemilikan buku Kesehatan Ibu dan Anak (KIA)/Kartu Menuju Sehat (KMS) (X2), dan klasifikasi wilayah (X3). Tujuan penelitian ini adalah menganalisis hasil regresi logistik ordinal dengan proportional odds model dan menentukan variabel independen yang secara signifikan berpengaruh terhadap kelengkapan imunisasi dasar anak balita di Provinsi Kalimantan Barat. Proses analisis diawali dengan melakukan uji multikolinearitas dengan kriteria Variance Inflation Factor (VIF) ≤ 10. Setelah variabel independen terbebas dari multikolinearitas, dilakukan estimasi parameter, pembentukan model regresi, uji simultan dengan uji rasio likelihood, uji parsial dengan uji Wald, pengujian koefisien determinasi dengan pseudo R-square Nagelkerke, uji asumsi parallel lines, uji kecocokan model, perhitungan nilai odds ratio, diikuti interpretasi. Berdasarkan hasil analisis, diperoleh kesimpulan bahwa pseudo R-square Nagelkerke menunjukkan kemampuan variabel independen menjelaskan variabel dependen sebesar 15,5%, sedangkan 84,5% faktor lain di luar model.  Berdasarkan model yang dihasilkan diketahui bahwa variabel X2 dan X3 signifikan berpengaruh terhadap kelengkapan imunisasi, sedangkan variabel X1 tidak berpengaruh signifikan terhadap kelengkapan imunisasi. Kata Kunci : susenas, parallel lines, pseudo r-square nagelkerke.
ANALISIS STATISTIK DALAM PENGUKURAN PROBABILITAS DAN HUBUNGANNYA DENGAN PROFITABILITAS Sumiani, Sumiani; Yundari, Yundari; Satyahadewi, Neva
Bimaster : Buletin Ilmiah Matematika, Statistika dan Terapannya Vol 13, No 5 (2024): Bimaster : Buletin Ilmiah Matematika, Statistika dan Terapannya
Publisher : FMIPA Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/bbimst.v13i5.85714

Abstract

Setiap perusahaan mempunyai laporan keuangan yang disusun untuk menganalisis ada atau tidaknya keuntungan perusahaan. Data laporan keuangan digunakan untuk menganalisis profitabilitas perusahaan, dengan mengukur seberapa besar laba yang diperoleh oleh perusahaan. Laporan keuangan juga dapat digunakan untuk menghitung probabilitas kebangkrutan, yaitu kemungkinan perusahaan mengalami kesulitan keuangan yang dapat menyebabkan kebangkrutan pada suatu perusahaan. Penelitian ini bertujuan untuk menganalisis pengaruh probabilitas kebangkrutan dan profitabilitas terhadap manajemen laba pada perusahaan perbankan yang terdaftar di Bursa Efek Indonesia (BEI) selama periode 2020-2022. Dalam penelitian ini, model Merton digunakan untuk menghitung probabilitas kebangkrutan, sementara manajemen laba diukur menggunakan Discretionary accrual. Populasi penelitian mencakup 57 perusahaan perbankan yang terdaftar di BEI, dengan sampel sebanyak 46 perusahaan atau 138 sampel penelitian yang dipilih melalui metode purposive sampling. Metode yang digunakan adalah analisis deskriptif dan regresi linear berganda untuk menilai pengaruh probabilitas kebangkrutan dan profitabilitas terhadap manajemen laba. Hasil penelitian menunjukkan bahwa probabilitas kebangkrutan yang diperoleh sangat kecil yaitu sebesar 0,0478 serta variabel probabilitas kebangkrutan dan profitabilitas tidak memiliki pengaruh signifikan terhadap manajemen laba pada perusahaan perbankan yang diteliti. Dengan demikian, dapat disimpulkan bahwa tingkat profitabilitas dan probabilitas kebangkrutan baik tinggi maupun rendah tidak mempengaruhi manajemen laba pada perusahaan perbankan tersebut.Kata Kunci: Laporan Keuangan, Manajemen Laba, dan Model Merton.
A ORDINAL LOGISTIC REGRESSION BAGGING FOR MODELING AND CLASSIFICATION OF THE NUTRITIONAL STATUS OF TODDLERS IN SOUTHEAST PONTIANAK SUB-DISTRICT Sista, Sekar Aulia; Kusnandar, Dadan Tonny; Satyahadewi, Neva
VARIANCE: Journal of Statistics and Its Applications Vol 6 No 2 (2024): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol6iss2page195-204

Abstract

Although Pontianak's 2022 stunting rate of 19.7% is higher than the RPJMN's 2020–2024 target of 14%, this is still significant. The categories of stunts are very short (severely stunted), short (stunted), normal, and high, based on a high index of the body by age (TB/U). Ordinal Logistic Regression is one classification that can be used to group stunts based on the TB/U index. This approach makes the unstable parameter. Use the bagging to get stable parameters. The study aims to model and classify toddlers' nutritional status using the TB/U index. Utilizing secondary data for 150 toddlers from Pontianak Tenggara's UPT Puskesmas Parit Haji Husin II. This will monitor kids' growth from 24 to 59 months in 2022. Response factors include short, very short, normal, and high. The mother's job position, birth weight, length, and gender are the predictive variables. Due to imbalanced data utilized in the first analysis using Ordinal Logistics Regression, a decent model, and the final classification result, they used the Bagging OLR ensemble method. The study's findings are a very effective model using OLR Bagging, with an accuracy rate of 99.33%, a sensitivity value of 98.91%, and a specificity value of 98.52%. The results also revealed significant variables that influence the mother's employment status and the birth length variable.
IMPLEMENTATION GRID SEARCH OF RBF AND POLYNOMIAL ON SUPPORT VECTOR REGRESSON FOR CLOSING STOCK PRICES PREDICTION ON PT INDOFARMA (INAF) Salsabilla, Arla; Satyahadewi, Neva; Andani, Wirda
VARIANCE: Journal of Statistics and Its Applications Vol 6 No 2 (2024): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol6iss2page133-142

Abstract

Stocks represent evidence of ownership of an asset. The highly volatile nature of stock prices makes it difficult for investors to predict stock prices, necessitating the analysis of stock investments. This research aims to forecast for the next 30 days the closing price of PT Indofarma (INAF) stocks using the best model, and the accuracy level of the employed model was analyzed based on the data from the last seven years. The research used the Support Vector Regression (SVR) method, which is known for its capability to handle nonlinear data through kernel functions. The Radial Basis Function (RBF) and polynomial kernels are used in this case. The challenge with SVR lies in determining the optimal hyperparameter, which can be addressed through hyperparameter tuning using grid search. The research results show that the best model is the SVR kernel RBF model with optimal hyperparameter C=1,γ=0.01, and ε=0.01. Based on the performance evaluation results of the best model, the MAPE, MSE, and MAE values are equal to 1.537%,1483.936, and 23.409.
APPLICATION OF THE QUEST AND CHAID METHODS IN CLASSIFYING STUDENT GRADUATION Banu, Syarifah Syahr; Sulistianingsih, Evy; Debataraja, Naomi Nessyana; Satyahadewi, Neva
VARIANCE: Journal of Statistics and Its Applications Vol 6 No 2 (2024): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol6iss2page155-164

Abstract

Graduation is the final result of the learning process during the course. Student graduation time is affected by many factors. Whether or not the time of student graduation is appropriate is an important thing that must be considered. Graduating well and on time is one measure of success in the learning process. This research aims to build a student graduation classification model by applying the QUEST (Quick, Unbiased, and Efficient, Statistical Tree) and CHAID (Chi-squared Automatic Interaction Detection) methods, examining the factors that affect student graduation, and comparing the classification results of the two methods. Both methods produce output in the form of tree diagrams, making it easier to interpret. Based on the classification tree formed from the two methods, four final nodes of the classification tree were generated, and three categories were grouped. Factors that affect student graduation include age and IPK. The classification results show that the percentage of classification accuracy for student graduation with QUEST and CHAID methods is 76.1%.
Analisis Semiotika Ornamentasi pada Rumah Tradisional Melayu: Pengaruh Budaya Islam dan Adat Melayu Hamzah, Erwin Rizal; Ciptadi, Wahyudin; Harimurti, Puspito; Radhi, Muhammad; Satyahadewi, Neva
Empiricism Journal Vol. 5 No. 2: December 2024
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ej.v5i2.1770

Abstract

Penelitian ini menganalisis makna simbolis ornamentasi pada rumah tradisional Melayu dengan menggunakan pendekatan semiotika triadik Peirce. Tujuannya adalah untuk mengeksplorasi bagaimana elemen dekoratif merepresentasikan identitas budaya Melayu dan pengaruh nilai-nilai Islam. Data dikumpulkan melalui observasi lapangan, dokumentasi visual, dan wawancara dengan pemilik rumah tradisional. Hasil penelitian mengidentifikasi lima kategori motif utama flora, fauna, alam, kaligrafi, dan geometris yang masing-masing mengandung nilai-nilai budaya dan religius. Temuan menunjukkan bahwa ornamentasi tidak hanya memperkaya estetika arsitektur, tetapi juga memainkan peran penting dalam melestarikan nilai sosial, spiritual, dan identitas komunitas Melayu. Penelitian ini menawarkan wawasan penting tentang bagaimana motif tradisional dapat diadaptasi dalam konteks modern untuk menjaga relevansi budaya di tengah arus globalisasi. Semiotic Analysis of Ornamentation in Traditional Malay Houses: The Influence of Islamic Culture and Malay CustomsAbstractThis study analyzes the symbolic meaning of ornamentation in traditional Malay houses using Peirce's triadic semiotic approach. The aim is to explore how decorative elements represent Malay cultural identity and Islamic values. Data were collected through field observation, visual documentation, and interviews with traditional house owners. The findings identify five main motif categories flora, fauna, nature, calligraphy, and geometric patterns each embodying cultural and religious values. Results show that ornamentation not only enriches architectural aesthetics but also plays a vital role in preserving social, spiritual, and communal identity within Malay communities. This research provides valuable insights into how traditional motifs can be adapted in modern contexts to maintain cultural relevance amid globalization.
Binary Logistics Regression To Predict The Opportunity Of SNMPTN Graduation In Statistics Study Program Of Tanjungpura University Satyahadewi, Neva; Tamtama, Ray; Perdana, Hendra; Huriyah, Syifa Khansa
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 8 No. 1 (2023): Mathline
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v8i1.269

Abstract

The National Selection of State University Entrance or Seleksi Nasional Masuk Perguruan Tinggi Negeri (SNMPTN) is one of the selections for high school students seeking higher education. The Statistics Study Program as one of the study programs at Tanjungpura University has a capacity of 20 seats in the SNMPTN. This limited capacity causes prospective students to prepare the right strategy in order to be accepted through the SNMPTN. In this study, logistics regression was used to predict the probability of graduation status on the SNMPTN path in the Statistics Study Program of Untan. Binary logistic regression is a statistical analysis technique for representing the relationship between a response variable with two (binary) categories and one or more predictor variables on a continuous or categorical scale. Data for this study were primary data from a questionnaire that received 93 samples. The response variable used is graduation status (Y) through the SNMPTN in Statistics Study Program, Tanjungpura University classified as 1 (passed) and 0 (not passed). Based on the results of the study, it is known that the variables that have a significant effect on graduation status are the status of choice in Statistics Study Program (X1), national level achievement ownership (X3), the average value of Mathematics (X4), the average value of Chemistry (X6), Biology average score (X7), Indonesian average score (X8), and English average score (X9). Meanwhile, provincial level achievement (X2) and Physics average (X5) did not have a significant effect on graduation status. The binary logistic regression model obtained has an accuracy error of 15,05% with an accuracy rate of 84,95%, meaning that this model has a good criteria.
Co-Authors . Apriansyah Aditya Handayani Afghani Jayuska Afghany Jayuska Alqaida Yusril Alvin Octavianus Halim Amriani Amir Amriani Amir Amriani Amir Amriani Amir Andani, Wirda Anisa Putri Ayuni Apriliyanti, Rita Aprizkiyandari, Siti Ardhitha, Tiffany Ari Hepi Yanti Arsyi, Fritzgerald Muhammad Ashari, Asri Mulya Asri Mulya Ashari Asty Fistia Ningrum Atikasari, Awang Aulia Puteri Amari Bambang Kurniadi Banu, Syarifah Syahr ciptadi, wahyudin Dadan Kusnandar Dadan Kusnandar Dadan Kusnandar David Jordy Dhandio Debataraja, Naomi Nessyana Della Zaria Desriani Lestari Desriani Lestari Desriani Lestari Dhandio, David Jordy Dinda Lestari Dwi Nining Indrasari Dwinanda, Maria Welita Esta Br Tarigan Evy Sulistianingsih Ewaldus Okta Ezra Amarya Aipassa Ferdina Ferdina Feriliani Maria Nani Fitriawan, Della Frans Xavier Natalius Antoni Fransisca Febrianti Sundari Fransiska Fransiska Giovani Parasta Riswanda Grikus Romi Gusti Eva Tavita Gusti Eva Tavita Hairil Al-Ham Hamzah, Erwin Rizal Hanin, Noerul Harimurti, Puspito Harnanta, Nabila Izza Hastri Sastia Wuri Helena, Shifa Hendra Perdana Hendrianto, El Herina Marlisa Huda, Nur'ainul Miftahul Huriyah, Syifa Khansa Ibnur Rusi Ikha Safitri Imro'ah, Nurfitri Imro’ah, Nurfitri Imtiyaz, Widad Indry Handayany Isra’ Sagita Jawani Jawani Karlina, Sela Kusnandar, Dadan Tonny Lucky Hartanti Lucky Hartanti Lucky Hartanti M. Deny Hafizzul Muttaqin Maga, Fahmi Giovani Margareta, Tiara Margaretha, Ledy Claudia Marlisa, Herina Marola, Geby Martha, Shantika Mega Sari Juane Sofiana Mega Sari Juane Sofiana Mega Tri Junika Millennia Taraly Misrawi Misrawi Muhammad Ahyar Muhammad Radhi Muliadi Muliadi Muslimah (F54210032) Nabil, Ilhan Nail Nanda Shalsadilla Naomi Nessyana Debataraja Naomi Nessyana Debataraja Noerul Hanin Nona Lusia Nugrahaeni, Indah Nur Asih Kurniawati Nur Asiska Nur'ainul Miftahul Huda Nurfitri Imro'ah Nurfitri Imro’ah Nurhalita Nurhalita Nurmaulia Ningsih NUR’AINUL MIFTAHUL HUDA Oktaviani, Indah Ovi Indah Afriani Paisal Paisal Pertiwi, Retno Pratama, Aditya Nugraha Preatin Preatin Putri Putri Putri, Aulia Nabila Qalbi Aliklas R Puspito Harimurti Radhi, Muhammad Rafdinal Rafdinal Rahadi Ramlan Rahmadanti, Putri Rahmanita Febrianti Rusmaningtyas Rahmawati, Fenti Nurdiana Rahmi Fadhillah Ramadhan, Nanda Ramadhania, Wahida Reni Unaeni Retnani, Hani Dwi Ria Andini Ria Fuji Astuti Rina Rina Risky Oprasianti Rita Kurnia Apindiati Rivaldo, Rendi Riza Linda Rizki Nur Rahmalita Rosi Kismonika Roslina Rosi Tamara Rovi Christova Safira, Shafa Alya Salsabilla, Arla Santika Santika Sary, Rifkah Alfiyyah Seftiani Seftiani Selvy Putri Agustianto Setyo Wir Rizki Setyo Wira Rizki Setyo Wira Rizki Setyo Wira Rizki Shantika Martha Shantika Martha Sinaga, Steven Jansen Sintia Margun Sista, Sekar Aulia Siti Aprizkiyandari Siti Aprizkiyandari, Nurul Qomariyah, Shantika Martha, Siti Hardianti Steven Jansen Sinaga Suci Angriani Sukal Minsas Sukal Minsas Syuradi syuradi Tamtama, Ray Taraly, Inggriani Millennia Tiara, Dinda Wahyu Diyan Ramadana Wahyudin Ciptadi Warsidah Warsidah Warsidah, Warsidah Wilda Ariani Wirda Andani Yopi Saputra Yudhi Yuliono, Agus Yumna Siska Fitriyani Yundari, Yundari Yuveinsiana Crismayella Zakiah, Ainun