Article Per Year (5 Year)
p-Index From 2021 - 2026
13.272
P-Index
This Author published in this journals
All Journal SAINSMAT LaGeografiA Teknosains: Media Informasi Sains dan Teknologi Journal of Mathematical and Fundamental Sciences Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Jurnal Environmental Science Seminar Nasional Variansi (Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika) BAREKENG: Jurnal Ilmu Matematika dan Terapan Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Jurnal Varian Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Mattawang: Jurnal Pengabdian Masyarakat Panrannuangku Jurnal Pengabdian Masyarakat ARRUS Journal of Mathematics and Applied Science Journal of Mathematics: Theory and Applications Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Bhinneka Jurnal Ilmu Kehutanan Indonesian Journal of Fundamental Sciences IPTEK: Jurnal Hasil Pengabdian kepada Masyarakat Seminar Nasional Hasil Penelitian LP2M UNM Ininnawa: Jurnal Pengabdian Masyarakat ARRUS Jurnal Pengabdian Kepada Masyarakat Parameter: Jurnal Matematika, Statistika dan Terapannya Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat SMART: Jurnal Pengabdian Kepada Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS) Prosiding Seminar Nasional Ilmu Pendidikan Issues in Mathematics Educations (IMED) Signal and Image Processing Letters Proceeding of the International Conference on Global Education and Learning Journal of Community Services and Development Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam
Syafruddin Side
Departement Of Mathematics, FMIPA UNM
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 114 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 114 Documents
Search

 7   8   9   10   11 
Efektivitas Penerapan Protokol Kesehatan 3M padaPenularan Covid-19 dengan Model SEIR di Kota Makassar Syafruddin Side; Aisyah Mukhlisah Araaf; Munadiya Yunadia; Nur Qamariah; Yusnalia Kadir; La Ode Salman Yassar
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 11 No. 1 (2022): Volume 11 Nomor 1 (Maret 2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The aims of this study was to build a SEIR model on Covid-19 transmission, to find out the analysis and simulation of the SEIR mathematical model for the prevention of Covid-19 transmission and to determine the effectiveness of the application of the 3M health protocol recovered Covid-19 from January 2021 to April 2021. The results shown that the SEIR model can be used to prevent transmission of Covid-19. The results of the analysis of the SEIR model shown that the basic reproduction number 푹ퟎ<1for the three simulations with the presentation of the application of the 3M health protocol were 10%, 50% and 90%, respectively. Meanwhile, the simulation results of the model shown that the higher the 3M application presentation, the smaller the value of the basic reproduction number. This shown that the implementation of the 3M health protocol against Covid-19transmission in Makassar City is effective, because it is able to minimize the rate of increase in the number of Covid-19 cases. This can be a reference for the Makassar City Government so that the application of 3M continues to be carried out to break the chain ofCovid-19spreadingin Makassar.
Model SEIR Kecanduan Game Onlinepada Siswa di SMP Negeri 3 Makassar Syafruddin Side; Nurul Azizah Muzakkir; Dian Pebriani; Syana Nurul Utari
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 9 No. 1 (2020): Volume 9 Nomor 1 (Maret 2021)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research discuss a SEIR mathematical model of online game addiction. The data used is primary data of the number of students in Junior High School 3 Makassar who are addicted to online game which obtained by share the questionnaires to students. This research starts from constructing a SEIR model of online game addiction,determining the equilibrium point, analysing the stability of equilibrium point, determining the basic reproduction number (푅0), doing a simulation of model using Maple, and interpreting the result of the simulation. In this paper we obtained a SEIR mathematical model of online game addiction; two equilibrium points which are addiction free and addiction equilibrium point; the stability of addiction free and addiction equilibrium; and the basic reproduction value푅0=0,089indicates that there is no transmission of addiction from one individual to another.
Solusi Penanganan Permasalahan kecanduan Narkoba menggunakan Model SEIR Waktu Tunda Hisyam Ihsan; Syafruddin Side; Herman
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 13 No. 1 (2024): Volume 13 Nomor 1 (Maret 2024)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan membuat solusi kecanduan narkoba dengan menggunakan model matematik SEIR waktu tunda, menganalisis model, dan memberikan solusi permasalahan penyalahgunaan atau kecanduan narkoba di Kabupaten Bone. Data yang digunakan yaitu data sekunder yang diperoleh dari Polres Bone dan BNN Kabupaten Bone. Penelitian ini dimulai dengan mengidentifikasi masalah; mencari studi literatur; menentukan asumsi, variabel dan parameter yang digunakan; membangun model matematika; menganalisis model; mengumpulkan data; memberikan solusi permasalahn penyalahgunaan atau kecanduan narkoba. Hasil penelitian ini menyimpulkan bahwa model matematika SEIR waktu tunda penyalahgunaan atau kecanduan anrkoba dalam bentuk sistem persamaan diferensial, titik kesetimbangan bebas kecanduan narkoba dan titik kesetimbangan terjadinya kecanduan narkoba yang bersifat stabil, terlihat bahwa bilangan reproduksi dasar untuk simulasi diperoleh (R_0) =5,005544522>1. Hal ini menunjukkan bahwa kasus kecanduan narkoba di Kabupaten Bone akan menyebar dengan cepat dan akan terus bertambah. Berdasarkan simulasi yang dilakukan menggunakan software matematika diperoleh bahwa semakin lama waktu penundaan maka semakin cepat populasi yang mengalami kecanduan narkoba akan berkurang, begitu pula sebaliknya
Analysis and Simulation of SELR Model in Exploring and Predicting the Dynamics of Independent Curriculum in Addressing the Gap in Student Achievement in City Centers and Remote Areas in South Sulawesi Muhammad Ilham Muktamar; Rahmat Syam; Syafruddin Side; Andi Muhammad Ridho Yusuf Sainon Andi Pandjajangi
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 13 No. 2 (2024): Volume 13 Nomor 2 (September 2024)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to build and analyze the SELR mathematical model in the context of the Independent Curriculum, in order to explore and predict the gap in student achievement between urban and remote areas in South Sulawesi. This study combines theoretical studies and applications by conducting simulations using Maple software. The study population involved 400 students from urban areas and 400 students from remote areas where simulation data was used to predict the dynamics of adaptation to the Independent Curriculum. The results showed that the Independent Curriculum was not fully effective in addressing the achievement gap, with a low basic reproduction number (R₀), both in urban and remote areas. The R₀ value of 0.204 in urban areas and 0.614 in remote areas indicates that the spread of curriculum adaptation is still limited and cannot create a significant impact on improving student achievement. This study indicates the need for additional adjustments and interventions in the implementation of the Independent Curriculum to achieve more equitable and inclusive results in various regions .
EXPLORING THE FUTURE OF HEALTH THROUGH THE SELR MATHEMATICAL MODEL WITH THE 4TH ORDER PERTUBATION HOMOTOPY METHOD ON THE RISK OF DIABETES AMONG MATHEMATICS STUDENTS OF FMIPA UNM DUE TO UNHEALTHY LIFESTYLES Syafruddin Side; Wahidah Sanusi; Andi Muhammad Ridho Yusuf Sainon Andi Pandjajangi
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 14 No. 1 (2025): Volume 14 Nomor 1 (Maret 2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141659102025

Abstract

This study aims to obtain a numerical solution of the Susceptible-Exposed-Lifestyle-Recovered (SELR) model for diabetes cases among active students of FMIPA UNM. This SELR model is built based on certain assumptions, then an analysis is carriedout to determine the stability of the model, and simulations are carried out to predict the incidence rate of diabetes. This study is applied research, and the method used to obtain a numerical solution of the SELR model is the 4th Order Homotopy Perturbation Method,using secondary data. The results of this study include a numerical solution of the SELR model for diabetes cases with the Homotopy Perturbation Method, which shows that this model can predict the potential spread of diabetes among students.
Digitalisasi Pemasaran Pengolahan Hasil Pertanian di Kabupaten Pinrang: Meningkatkan Daya Saing dan Akses Pasar Melalui Teknologi Digital Sulfiana Sulfiana; Vanda Elona Fitri; Syafruddin Side
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 5 No. 1 (2026): Volume 05 Nomor 01 (April 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/0rt87b39

Abstract

Pengabdian ini bertujuan untuk menganalisis peran digitalisasi dalam meningkatkan efektivitas pemasaran hasil olahan pertanian di Kabupaten Pinrang, serta untuk mengidentifikasi tantangan dan strategi yang dapat diterapkan dalam penerapan teknologi digital. Meskipun sektor pertanian di Kabupaten Pinrang memiliki potensi yang besar, sebagian besar pelaku usaha masih mengandalkan metode pemasaran konvensional yang terbatas pada pasar lokal. Hal ini menyebabkan rendahnya daya saing produk serta keterbatasan akses pasar yang lebih luas. Metode pelaksanaan kegiatan ini dilakukan dengan dengan teknik pengumpulan data melalui wawancara mendalam, observasi lapangan, dan penyebaran kuesioner kepada pelaku usaha pengolahan hasil pertanian. Kegiatan ini berhasil mengimplementasikan strategi digitalisasi pemasaran pada kelompok pengolah hasil pertanian di Kabupaten Pinrang melalui optimalisasi media sosial dan platform e-commerce. Intervensi ini terbukti mampu memperluas jangkauan pasar, meningkatkan volume penjualan, serta menciptakan komunikasi yang lebih efisien antara produsen dan konsumen. Meskipun demikian, kegiatan ini mengidentifikasi tantangan krusial berupa keterbatasan akses internet dan rendahnya literasi digital pelaku usaha di lapangan. Hasil pengabdian menyimpulkan bahwa kolaborasi strategis antara pemerintah daerah, akademisi, dan penyedia layanan digital merupakan kunci utama dalam memperkuat daya saing produk lokal. Capaian ini diharapkan menjadi model perumusan kebijakan pengembangan ekonomi digital sektor pertanian di wilayah Kabupaten Pinrang.
OPTIMAL CONTROL OF A MATHEMATICAL MODEL FOR MONKEYPOX TRANSMISSION IN INDONESIA USING THE PONTRYAGIN MAXIMUM PRINCIPLE Musfira Musfira; Syafruddin Side; Muhammad Abdy; Andi Muhammad Ridho; Supriadi Supriadi
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 14 No. 2 (2025): Volume 14 Nomor 2 (September 2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142763342025

Abstract

The re-emergence of Monkeypox poses significant public health challenges in Indonesia. This disease continues to spread due to its zoonotic nature and the high frequency of human-animal interactions. This study aims to model the transmission dynamics of Monkeypox using the SIQR (Susceptible, Infectious, Quarantined, Recovered) framework and apply optimal control strategies through the Pantryagin Maximum Principle (PMP). Data from the Indonesian Ministry of Health were utilised for model parameterisation, with numerical simulations conducted using the fourth-order Runge-Kutta method. Control strategies included quarantine, tecovirimat, and public education. The simulation results revealed that implementing optimal control reduced the infected population by up to 75% within the first 10 months compared to scenarios without control. The basic reproduction number () was successfully reduced from 2.5 to below 1, indicating that the outbreak was controlled. Additionally, the recovery rate increased by 30%, with the susceptible population achieving a disease-free equilibrium by the eighth month. These findings highlight that mathematically-driven interventions can provide effective solutions for managing infectious diseases. It is recommended that these strategies be integrated into public health policies to optimise resource allocation. Further research is necessary to evaluate the scalability of this approach for other zoonotic diseases.
Algoritma Warshall untuk Penyelesaian Masalah Vehicle Routing (Studi Kasus : Pendistribusian PT Semen Bosowa di Makassar) Syafruddin Side; Maya Sari Wahyuni; Hadrianty Ramly
Journal of Mathematics, Computations and Statistics Vol. 1 No. 01 (2018): Volume 01 Nomor 01 (April 2018)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Warshall is an algorithm to calculate the shortest distance for every pair of points in a locationthat can be converted into a directed and weighted graph, in the form of vertex (V) and edges (E), and mosthave at least one side at any vertex. Vehicle Routing Problem (VRP) is included in the class of NP-hardproblem in combinatorial optimization, making it difficult to solve with exact methods applicable ingeneral. This study beginning with mathematical concepts Implementation of Algorithms Warshall, whichis taking the data distribution from the Company, the search for weight trajectory, changing into a matrixwith n × n squares in this case matrix used measuring 11 x 11, apply the algorithm Warshall in the matrixobtained, the second is the implementation of Algorithms Warshall using Microsoft Visual Basicprogramming language. The equation used is the first representation of the graph to a weighted matrix D= [dij] ie the distance from the vertex i to j; The second order decomposition with dij(k). D (k) be the nxnmatrix [dij(k)] so that the limit k to n for k = 0, 1, ..., n; Third observation structures shortest path done intwo ways: if k is not a vertex on the path (the shortest path length dij (k-1)) and k is the vertex on the path(the shortest path length dij (k-1) + dij (k -1)), it contains a subpath from i to k and a subpath from k to j.The fourth iteration numbered 0 through n. The result showed that the method Warshall algorithm cansolve the problems of determining the shortest route in the distribution of PT Semen Bosowa by calculatingthe distance of the entire passage is in the distribution of cement Bosowa in Makassar
Analisis Dan Simulasi Persamaan Differensial Pada Pemodelan Penyakit Campak di Kota Pare-pare Syafruddin Side; Rahmat Syam; Meisy Tri Elsa
Journal of Mathematics, Computations and Statistics Vol. 1 No. 02 (2018): Volume 01 Nomor 02 (Oktober 2018)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research discusses the SEIRV model of measles. The data used is the number of people with measles in Parepare City in 2015. This data is obtained from Parepare City Health Department. The discussion begins with constructing the SEIRV model of measles,determining the equilibrium point and analyzing the stability. Then, creating a simulation model. This research is conducted by using method of literature study. It is expected to proside an overview of the SEIRV mathematical model. The steps taken are identifying the problem, formulating assumptions to obtained, vaccination is the best way to cure measles
Analisis Regresi Panel pada Pemodelan Tingkat Kematian Bayi di Provinsi Sulawesi Selatan Syafruddin Side; Sukarna; Raihana Nurfitrah
Journal of Mathematics, Computations and Statistics Vol. 2 No. 02 (2019): Volume 02 Nomor 02 (Oktober 2019)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research discusses about parameter estimation of panel data regression model of infant mortality level modelling in South Sulawesi from 2014 to 2015. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of infant mortality, low weight of infant, childbirth rescued by health workers, poor population, infants who were given exclusive breast milk and household that behaves well in the whole district/town in South Sulawesi year 2014-2016. Data analysis was performed using the calculation manually and by using EViews 9 software. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach.
Co-Authors . Sulaiman . Sulaiman . Sutra . Sutra Abd. Kadir A. Abdul Kadir Abdul Rahman Abdul Rahman Ahmad Ali Ramli AHMAD FAUZAN RIDHA SUJIONO ahmad yani Ahmad Yani AHMAD ZAKI Ahmar, Ansari Saleh Aidid, Muhammad Kasim Aisyah Mukhlisah Araaf Aisyah Mukhlisah Araaf Aisyah Zahra Ramadhani Asya Akbar Aldri Frinaldi Alief Saputro Alimuddin Alimuddin Alimuddin Tampa Alvioni Bani Amal Arfan, Amal Amni Rasyidah Andi Gagah Palarungi Taufik Andi Muh. Ridho Yusuf SAP Andi Muhammad Ridho Andi Muhammad Ridho Sainon Andi Pandjajangi Andi Muhammad Ridho SAP Andi Muhammad Ridho Yusuf Sainon Andi Pandjajangi Andi Muhammad Ridho Yusuf Sainon Andin P Angri Lismayani Annas, Suwardi Annisa Chaerani Annisa Uniarti Annisa Uniarti Arifuddin R Arika Dwi Angraeni Rasida Arkas, Amaliah Nurul Armalinda Mohammad Adam Arsita, Asriani Asdar Asriani Arsita Astri Utari Aswi, Aswi Aulia Azzahra Aulia, Hikma Bahar, Nur Qadri Baiq Nurkhalishah Beby Fitriani Bohari, Nurul Aulia Citra Suci Said Damang, Dahnial Dian Pebriani Dian Pebriani Dwidary Mulyaningrum Emi Wulandari Emi Wulandari Erra Fasira Fajar Arwadi Fitrah Mallolongeng Fitriani Fitriani Fitriyani Fitriyani Fitriyani Gita Tri Asfarina Gita Tri Asfarina Hadrianty Ramli Hadrianty Ramly Hamzah Upu Hasri Hasri Hasri Hasri Herman Hirpan Hirpan Hisyam Ihsan Husnul Khatimah Syam Ilham Minggi Ilham Minggi Imron AY, Muhamammad Intan Buhati Asfyra Irwan Irwan Irwan Irwan Irwan Irwan Irwan Irwan Irwan Irwan Ismail, Khusnul Ryana Tasya J, Jusriadi Ja'faruddin Jafaruddin a, Jafaruddin Jelita Jusman Jusman Kaito, Nurlaila Karwingsi, Ersa Katrina Pareallo Khairana, Nadiyah La Ode Salman Yassar La Ode Salman Yassar Luthfiah Arradiah Luthfiyyah Az-zahrah Mallolongeng, Fitrah Marfianti, Marfianti Meisy Tri Elsa Meisy Tri Elsa Miswar Mohd Salmi Md Noorani Mudinillah, Adam Muh Al Rasyid Ridho Muh. Darwis Muh. Ishaq Firdaus Muh. Rifki Muh. Rifki Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Arif Tiro, Muhammad Arif Muhammad Edy Rizal Muhammad Farhan Muhammad Ilham Muktamar Muhammad Iqbal Muhammad Iqbal Muhammad Irfan Muhammad Isbar Pratama Muhammad Nur Ilham Muhammad Rakib Muhammad Ridho Yusuf SAP Muhammad Rifandi Muhjria, Muhjria Muktamar, Muhammad Ilham Munadiya Yunadia Munadiya Yunadiya Musawira Musdalifa Pagga Musdalifah Pagga Musfira Musfira Musfira, Musfira Musfira, Nur Fadillah Mustati&#039;atul Waidah Maksum mutiara mutiara N. Nurhaeda Nathaniel Lucky Mangngesak Neldi Neldi, Neldi Nikmatullah Nur, Nikmatullah Nor Zila Abdul Hamid Nora Auliya Zahra Norliana Rahmasari Norliana Rahmasari Nur Fajri Se tiawan Nur Fajri Setiawan Nur Izzah Nurdin Nur Izzah Nurdin Nur Khaerati Rustan Nur Khaerati Rustan Nur Qamariah Nur Qomariah Nurazizah Nurhaeda Nurul Aulia Bohari Nurul Aulia Bohari Nurul Azizah Muzakir Nurul Azizah Muzakkir Nurul Fadhilah Syahrul Nurul Ismi Maulida Nurwahidah Sari Nusrang, Muhammad Padjalangi, Andi Muhammad Ridho Yusuf Sainon Andi Pagga, Musdalifa Palumpun, Feby Fristi Pandjajangi, Andi Muhammad Ridho Yusuf Sainon Andi Puspitasari Putri Kharina Mahathir Hulinggi Qudratullah Qudratullah Rahman, Muhammad Fatur Rahmat Syam Rahmat Syam Rahmat Syam Raihana Nurfitrah Raihana Nurfitrah Ramadhan, Nur Resky Ramadhani, Muthia Reza Arisandi Reza Arisandi Ridho, Andi Muhammad Rifki, Muh. Risma Risma, Risma Rosmini Maru Rudi Ruliana Rustan, Nur Khaerati S. Sartika Sahlan Sidjara Sahlan Sidjara Sainon Andi Pandjajangi, Andi Muhammad Ridho Yusuf Sakina Putri Sahara Sanusi, Wahida SAP, Andi Muh. Ridho Yusuf SATRIYAS ILYAS Setiawan, Nur Fajri Sidjara, Sahlan Sitti Aisyah Sitti Satriana Sopiyah Sri Indriani Sri Nur Qadri St. Nurhilmah Busrah Suciyanti, Nurafni Sudarmin - Suhartono Nurdin Sukarna Sukarna Sukarna Sulaiman - Sulaiman Sulaiman Sulaiman Sulaiman Sulfiana Sulfiana Supriadi Supriadi Supriadi Supriadi Supriadi Yusuf Suriyandi Suriyandi Sutra Sutra Sutriani Hidri, Sutriani Suwardi Annas Syahirah, Nurul Syahrana Syahrana Syana Nurul Utari Syana Nurul Utari Syarif Hidayat Syarif Hidayat Talib, Dr. Ahmad Ummul Khadijah Usman Mulbar Vanda Elona Fitri Variska Anjani Wahidah Sanusi Wahidah Sanusi Wahidah Sanusi Wahyuni, Maya Sari Wahyuni, Maya Sari Waode Nurlaelah Wulandari, Emi Yanti, Nurul Castri Yulita Molliq Rangkuti Yusnalia Kadir Yusnalia Kadir Yusuf Ramadana Yusuf S.A.P., Andi Muh. Ridho Yusuf SAP, Andi Muhammad Ridho Zahra, Nora Auliya Zakyah, Nur