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All Journal Mimbar PGSD Undiksha Irfani Laa Maisyir Jurnal Ekonomi Islam CESS (Journal of Computer Engineering, System and Science) AlphaMath: Journal of Mathematics Education Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Elemen AL ISHLAH Jurnal Pendidikan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL PENDIDIKAN GLASSER JITK (Jurnal Ilmu Pengetahuan dan Komputer) Tarbawi : Jurnal Ilmu Pendidikan Jurnal Ulul Albab JMM (Jurnal Masyarakat Mandiri) Justek : Jurnal Sains Dan Teknologi JTAM (Jurnal Teori dan Aplikasi Matematika) Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan JCES (Journal of Character Education Society) Jurnal Elementary : Kajian Teori dan Hasil Penelitian Pendidikan Sekolah Dasar SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Pendekar : Jurnal Pendidikan Berkarakter Jurnal Riset Teknologi dan Inovasi Pendidikan (Jartika) JPMI (Jurnal Pendidikan Matematika Indonesia) Beta: Jurnal Tadris Matematika Jurnal Cendekia : Jurnal Pendidikan Matematika Journal of Educational Research and Evaluation Mimbar Ilmu Jurnal Pemikiran dan Penelitian Pendidikan Matematika (JP3M) Idaarah: Jurnal Manajemen Pendidikan JP3M (Jurnal Penelitian Pendidikan dan Pengajaran Matematika) Jurnal Varian Santhet: (Jurnal Sejarah, Pendidikan Dan Humaniora) GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan Al-Kharaj: Journal of Islamic Economic and Business Jurnal Abdi Insani IJECA (International Journal of Education and Curriculum Application) Community Development Journal: Jurnal Pengabdian Masyarakat Bakti Cendana: Jurnal Pengabdian Masyarakat JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Al-Liqo: Jurnal Pendidikan Islam Didaktika: Jurnal Kependidikan AR-RIAYAH : Jurnal Pendidikan Dasar Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Mosharafa: Jurnal Pendidikan Matematika Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Edu Sociata : Jurnal Pendidikan Sosiologi Indonesian Journal of Engineering (IJE) Indonesian Journal Of Educational Research and Review Journal of Innovation Research and Knowledge Kreasi: Jurnal Inovasi dan Pengabdian Kepada Masyaraka Journal of Training and Community Service Adpertisi International Journal of Educational Research Excellence (IJERE) Jurnal Pengabdian Ahmad Yani Aceh International Journal of Science and Technology Jurnal Riset Teknologi dan Inovasi Pedidikan (JARTIKA) Jurnal E-bussiness Institut Teknologi dan Bisnis Muhammadiyah Polewali Mandar Masyarakat Pariwisata: Journal of Community Services in Tourism JP-Publik Journal of Community Empowerment Protech Biosystems Journal Advance Sustainable Science, Engineering and Technology (ASSET) Journal Governance and Politics (JGP) Study of Scientific and Behavioral Management (SSBM)
Syaharuddin Syaharuddin
Universitas Muhammadiyah Mataram
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Implementations of Open and Closed Method Numerically: A Non-linear Equations Solution Convergence Test Maulia Putri; Syaharuddin Syaharuddin
IJECA (International Journal of Education and Curriculum Application) Vol 2, No 2 (2019): August
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (44.724 KB) | DOI: 10.31764/ijeca.v2i2.2041

Abstract

Non-linear equations are one of the studies in mathematics. Root search in complex non-linear equations can be solved by numerical methods. Many methods to solve the equation. Therefore, the purpose of this research is to conduct simulation of closed and open methods such as Newton Raphson method, Secant method, Regula Falsi, Fixet Point, and Bisection. This is done as a form of comparative research to see the accuracy, number of iterations, and errors of each method in resolving the non-linear equations. As for the case being resolved is the roots of the exponential equation, trigonometry, logarithmic and polynomial degrees of three. The results of this study resulted in different levels of convergence in resolving each case
Differences in Perceptions Between Parents and Teachers on Online Learning During the COVID-19 Pandemic Ade Ubaidah; Fatayah Fatayah; Yuni Susilowati; Ana Merdekawaty; Rima Rahmaniah; Syaharuddin Syaharuddin
IJECA (International Journal of Education and Curriculum Application) Vol 4, No 1 (2021): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/ijeca.v4i1.4012

Abstract

Government policy to enforce online learning during the COVID-19 pandemic that is not supported by adequate facilities has become a significant obstacle for students and their parents. Each educational institution has different perspectives and perceptions. Therefore, this study aims to analyze the difference in perception between parents and teachers towards the implementation process and evaluation system of online learning. The data was collected using questionnaires of 17 indicators using the Unified Theory of Acceptance and Use of Technology (UTAUT) model criteria, then distributed online using random sampling techniques to parents and teachers throughout Indonesia at the elementary, junior high, and high school levels so that 118 data were obtained divided into 81 teachers and 37 parents. The results of the student test (t-test) obtained information that there is a difference in perception between parents and teachers, this can be seen from the t-test score of 1,919 with a sig score. 0.057. This is also evidenced by the average teacher response score of 66.19 which means positive, while the average response score of parents is 60.54 which means less positive to the application of online learning during COVID-19. The results of this study are expected to be used as an evaluation of online learning for the government in the future.
UTAUT: Analysis of Usage Level of Android Applications as Learning Media in Indonesian Educational Institutions Vera Mandailina; Saddam Saddam; Malik Ibrahim; Syaharuddin Syaharuddin
IJECA (International Journal of Education and Curriculum Application) Vol 2, No 3 (2019): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3.732 KB) | DOI: 10.31764/ijeca.v2i3.2080

Abstract

This study aims to analyze the application of android applications as a medium of mathematics learning in Indonesian educational institutions using the Unified Theory of Acceptance and Use of Technology (UTAUT) method both among teachers in delivering mathematical material and students in experimenting or completing school assignments. The research method used was descriptive quantitative with a four option Likert Scale questionnaire as a research instrument. Surveys were deployed using the Google Form-based Black Box system throughout Indonesia through Social Media. Based on the results of data analysis obtained information that the application of android applications as a learning media for mathematics in Indonesia is still below 50%. The effect of performance expectancy, effort expectancy, and social influence on behavioral intention is illustrated by the regression equation Y1 while facilitating the regression equation Y2 represents conditions and behavioral intention towards use behavior.
Prediksi Jumlah Siswa SMP Dengan Metode Holt: Studi Kasus Provinsi NTB, NTT, dan Bali Rahmawati Rahmawati; Habib Ratu Perwira Negara; Syaharuddin Syaharuddin
Indonesian Journal of Engineering (IJE) Vol 1 No 2 (2021): Edisi Maret
Publisher : Fakultas Teknik Universitas Nahdlatul Ulama NTB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (250.63 KB)

Abstract

Abstrak: Penelitian ini dilakukan dengan tujuan untuk mengetahui hasil prediksi jumlah siswa SMP di Provinsi NTB, NTT dan Bali. Data jumlah siswa SMP diambil dari data pada Badan Pusat Statisktik (BPS) Provinsi NTB, NTT dan Bali dari tahun 2010-2020. Analisis data yang digunakan adalah metode Holt dengan Parameter akurasi yang digunakan yaitu MSE, MAPE, dan MAD. Jumlah siswa SMP Provinsi NTB menunjukkan MSE atau tingkat akurasi yang tinggi sebesar 2.283.447.351,406 dan nilai MAD sebesar 31.941,1089 serta nilai MAPE sebesar 13.6889. Kemudian untuk jumlah siswa SMP di Provinsi NTT dengan tingkat akurasi yang tinggi atau MSE sebesar 2.024.591.873,7383 untuk nilai MAD sebesar 42.670,0436 dan unutuk nilai MAPE sebesar 14.3002. Untuk jumlah siswa SMP Provinsi Bali menunjukkan bahwa nilai MSE sebesar 16.691.773,4305 dan untuk nilai MAD sebesar 3.797,5859 serta untuk nilai MAPE menunjukkan sebesar 1.9266. Hasil peramalan atau prediksi tahun 2021 jumlah siswa di provinsi NTB mengalami peningkatan dengan jumlah siswa sebanyak 2.216.595 orang. untuk provinsi NTT juga mengalami peningkatan dengan jumlah siswa sebanyak 3.346.070 orang. kemudian, untuk provinsi Bali ternyata juga mengalami peningkatan dengan jumlah siswa sebanyak 1.953.529 orang. Abstract: This study was conducted with the aim to find out the predicted number of junior high school students in NTB, NTT and Bali provinces. Data on the number of junior high school students is taken from data at the Central Statistics Agency (BPS) of NTB, NTT and Bali provinces from 2010-2020. Data analysis used is Holt method with accuracy parameters used ie MSE, MAPE, and MAD. The number of ntb provincial junior high school students showed MSE or high accuracy of 2,283,447,351,406 and MAD score of 31,941,1089 and MAPE score of 13,6889. Then for the number of junior high school students in NTT Province with a high level of accuracy or MSE of 2,024,591,873,7383 for a MAD score of 42,670.0436 and for a MAPE score of 14,3002. For the number of junior high school students in Bali Province shows that the MSE score is 16,691,773,4305 and for the MAD score of 3,797.5859 and for the MAPE value shows 1.9266. The results of forecasting or predicting in 2021 the number of students in NTB province has increased with the number of students as much as 2,216,595 people. for NTT province also increased with the number of students as many as 3,346,070 people. then, for the province of Bali also increased with the number of students as many as 1,953,529 people.
Accuracy Rate of Single Exponential Smoothing Method for Time Series Prediction: A Meta-Analysis Putri Nurfirani; Ahmad Mizwar; Elin Nurmyanti; Syaharuddin Syaharuddin
Indonesian Journal of Engineering (IJE) Vol 2 No 2 (2022): Edisi Maret
Publisher : Fakultas Teknik Universitas Nahdlatul Ulama NTB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (573.302 KB)

Abstract

Abstrak: Tujuan penelitian ini adalah menganalisis hasil-hasil penelitian yang mampu memberikan informasi lebih mendalam terkait tingkat akurasi metode Single Exponential Smoothing. Pada penelitian ini mengambil data dari database pengindeks seperti Scopus, DOAJ, dan Google Scholar pada interval tahun 2012-2021 dan yang difilter adalah hasil penelitian yang memuat nilai jumlah data (N) dan uji akurasi (r). Hasil analisis data menunjukkan sebanyak 20 data yang memenuhi kriteria dianalisis mengunakan software JASP sehingga diperoleh nilai rata-rata effect size (ES) sebesar 0.66 termasuk kategori sedang. Pada bagian klasifikasi yaitu nilai estimate dari modifikasi sebesar 0.897 dengan nilai p-Rank-test sebesar 0.243, sedangkan yang non-modifikasi nilai estimate sebesar 0.556 dengan nilai p-Rank-testnya 0.129. Abstract: The purpose of this study is to analyze the results of research that is able to provide more in-depth information related to the level of accuracy of the Single Exponential Smoothing method. The study took data from indexing databases such as Scopus, DOAJ, and Google Scholar at the interval of 2012-2021 and filtered were the results of research containing the value of the amount of data (N) and accuracy test (r). The results of the data analysis showed that as many as 20 data that met the criteria were analyzed using JASP software so that an average effect size (ES) of 0.66 was obtained including the medium category. In the classification section, the estimate value of the modification is 0.897 with a p-Rank-test value of 0.243, while the non-modification of the estimate value is 0.556 with a p-Rank-test value of 0.129.
Meta-Analisis Tingkat Akurasi Peramalan Menggunakan Metode Wavelet Husnul Buairi Buairi; Lalu Sucipto; Syaharuddin Syaharuddin
Indonesian Journal of Engineering (IJE) Vol 2 No 2 (2022): Edisi Maret
Publisher : Fakultas Teknik Universitas Nahdlatul Ulama NTB

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Abstract

Abstrak: Peramalan adalah salah satu unsur yang sangat penting dalam pengambilan keputusan. Salah satu metode yang digunakan dalam peramalan adalah Metode Wavelet merupakan komponen yang frekuensi yang berbeda atau alat analisis yang biasa digunakan untuk menyajikan data. Tujuan dalam meta-analysis ini untuk menganalisis kembali hasil-hasil penelitian yang berkaitan dengan peramalan menggunakan metode Wavelet. Datanya dikumpulkan melalui database pengindeks seperti Scopus, DOAJ, Worldcat dan Google Scholar. Data yang difilter adalah hasil penelitian yang memuat nilai dari jumlah data (N), uji korelasi (r) dan klasifikasi, kemudian yang dianalisis menggunakan meta-analysis melalui effect size dan standar error untuk melihat summary effect size. Hasil analisis data menggunakan software JASP menunjukkan bahwa nilai estimate pada tingkat akurasi peramalan menggunakan metode Wavelet sebesar 0.827 yang termasuk kategori tinggi, Kemudian diperoleh nilai estimate dari metode modifikasi sebesar 0.828 dan nilai p-Rank-testnya 0.591, sedangkan non-modifikasi nilai estimatenya adalah 0.831 dan nilai p-Rank-testnya 0.76. Abstract: Forecasting is one of the most important elements in decision making. One of the methods used in forecasting is the Wavelet Method is a component of which is a different frequency or analysis tool commonly used to present data. The purpose of this meta-analysis is to reanalyze the results of research related to forecasting using the Wavelet method. Its data is collected through indexer databases such as Scopus, DOAJ, Worldcat and Google Scholar. Filtered data is the result of research that contains values from the amount of data (N), correlation test (r) and classification, then analyzed using meta-analysis through effect size and error standards to see summary effect size. The results of data analysis using JASP software showed that the estimate value at the forecasting accuracy rate using the Wavelet method was 0.827 which belonged to the high category, then obtained the estimate value of the modification method of 0.828 and the p-Rank-test value was 0.591, while the non-modification of the estimate value was 0.831 and the p-Rank-test value was 0.76.
Metode Linear Regression, ARIMA, dan Neural Network Dalam Prediksi Harga Saham: Sebuah Meta-Analisis Erina Salsabila Ashri; Syaharuddin Syaharuddin; Baiq Lukita Rauhul Mardatillah
Indonesian Journal of Engineering (IJE) Vol 2 No 2 (2022): Edisi Maret
Publisher : Fakultas Teknik Universitas Nahdlatul Ulama NTB

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Abstract

Abstrak: Prediksi harga saham atau stock price prediction adalah harga yang telah ditetapkan kepada suatu perusahaan bagi pihak lain yang ingin memiliki hak kepemilikan saham. Nilai harga saham selalu berubah-ubah setiap waktu. Oleh sebab itu, tujuan dari penelitian meta-analisis ini adalah menganalisis kembali penelitian-penelitian yang berkaitan dengan prediksi harga saham. Data yang dikumpulkan dari database pengindeks sebanyak 36 data. Hasil analisis data menunjukkan bahwa tingkat akurasi menggunakan metode linier regression, ARIMA dan Neural Network berturut-turut sebesar 1.29%, 1.51% dan 1.23%. Abstract: Stock price prediction or stock price prediction is the price that has been set to a company for other parties who want to have share ownership rights. The value of the stock price is constantly changing all the time. Therefore, the purpose of this meta-analysis research is to reanalyze research related to stock price predictions. Data collected from the indexing database as much as 36 data. The results of the data analysis showed that the accuracy rate using linear regression, ARIMA and Neural Network methods was 1.29%, 1.51% and 1.23% respectively.
PEMBERDAYAAN MASYARAKAT LOKAL DI KARIMUNJAWA JAWA TENGAH Donna Ekawaty; Syaharuddin Syaharuddin; Atun Yulianto
Journal of Innovation Research and Knowledge Vol. 1 No. 9: Februari 2022
Publisher : Bajang Institute

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Abstract

Pemberdayaan masyarakat lokal di karimunjawa Jawa tengah menjadi kebutuhan pokok sebelum pandemi, terlebih setelah pandemi covid19. Adapun pokok masalah penyebab penelitan perlu dilakukan adalah bagaimana masyarakat lokal di Karimunjawa dapat memanfaatkan potensi yang ada sebagai upaya mewujudkan kesejahteraan. Penelitian ini bertujuan menjelaskan masyarakat lokal yang diberdayakan dalam mengembangkan potensi sumber daya yang ada di kawasan strategis Karimunjawa. Penelitian menggunakan metode kualitatatif studi kasus (Case Study). Penelitian Studi kasus dilakukan secara mendalam terhadap satu kelompok ekonomi rakyat di Karimunjawa. Studi kasus menghasilkan data yang diperoleh dari hasil wawancara dan observasi, menggunakan teknik cuplikan snowball ke beberapa informan terkait masalahnya. Berdasarkan hasil penelitian dapat disimpulkan bahwa masyarakat lokal di Karimunjawa sudah memanfaatkan potensi sumber daya yang ada melalui patriot desa emas. Keberadaan patriot desa emas di Karimunjawa diharapkan dapat menjadikan desa - desa tidak berdaya menjadi desa berdaya, bermartabat, sejahtera, dan mandiri.
Perbandingan Metode Newton Midpoint Halley, Metode Olver dan Metode Chabysave Dalam Penyelesaian Akar-Akar Persamaan Non-Linear Hani Yupita Salwa; Syaharuddin Syaharuddin; Linita Sulistina; Elin Nurmayanti; Amalia Rahmatin; Habibi Ratu Perwira Negara
Indonesian Journal of Engineering (IJE) Vol 3 No 1 (2022): Edisi September
Publisher : Fakultas Teknik Universitas Nahdlatul Ulama NTB

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Abstract

Abstrak: Persamaan non-linear kerap menjadi model matematika yang menggambarkan situasi dalam berbagai bidang, seperti bidang Teknik maupun bidang biologi. Penentuan akar penyelesaian persamaan non-linear menjadi hal yang perlu dikaji mengingat kartaktersitk dari persamaan tersebut tidak dapat diselesaikan dengan cara analitik. Tujuan dari penelitian ini adalah untuk mengetahui metode terbaik dalam menentukan akar-akar Persamaan Non-Linier. Metode penelitian dilakukan dengan membandingkan tiga metode, yaitu Metode Newton Midpoint Halley (NMH), Metode Olver, dan Metode Chebyshev dalam menyelesaikan persamaan non-linear berbentuk polinomial, trigonometri, eksponensial, dan campuran (trigonometri dan exponensial). Parameter simulasi menggunakan error sebesar 0.001. Hasil analisis diperoleh bahwa dari tiga metode yang digunakan, laju konvergensi tercepat dalam menentukan akar-akar persamaan non-linear (polinomial, trigonometri, eksponensial, campuran trigonometri dan exponensial) yaitu menggunakan metode Newton Midpoint Halley (NMH). sehingga metode terbaik dalam menyelsaikan akar-akar persamaan non-linear adalah metode Newton Midpoint Halley (NMH). Abstract: Non-linear equations often become mathematical models that describe situations in various fields, such as engineering and biology. Determining the roots of solving non-linear equations is something that needs to be studied considering that the characteristics of these equations cannot be solved by analytical means. The purpose of this research is to find out the best method for determining the roots of non-linear equations. The research method was carried out by comparing three methods, namely the Newton Midpoint Halley Method (NMH), Olver Method, and the Chebyshev Method in solving non-linear equations in the form of polynomials, trigonometry, exponentials, and mixtures (trigonometry and exponential). The simulation parameters use an error of 0.001. The results of the analysis show that of the three methods used, the fastest convergence rate in determining the roots of non-linear equations (polynomial, trigonometry, exponential, mixed trigonometry and exponential) is using the Newton Midpoint Halley (NMH) method. so that the best method for solving the roots of non-linear equations is the Newton Midpoint Halley (NMH) method.
Learning Independence Towards Mathematics Learning Outcomes Based on Education Level Amina Tusaadia; Abdillah Abdillah; Mahsup Mahsup; Vera Mandailina; Syaharuddin Syaharuddin
Indonesian Journal Of Educational Research and Review Vol. 5 No. 3: October 2022
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijerr.v5i3.52312

Abstract

Learning independence is very influential in improving student learning outcomes. But at this time, many students still need an independent attitude in learning, which impacts low student learning outcomes. This study aims to analyze the level of learning independence towards improving mathematics learning outcomes based on educational level. This type of research is meta-analysis. This study uses a meta-analysis method, where data is collected from relevant research results, including the Fisher's test, t-test, correlation test, number of participants, and classical completeness. Data collection and research instruments were taken from relevant journals in this study. The data collection technique that can be carried out in this study is by looking for articles that match the predetermined criteria. Data were analyzed using JASP software with each data's input effect size and standard error values. The results of data analysis showed that there was a significant influence between learning independence on mathematics learning outcomes at all levels of SD, SMP, SMA, and PT by 20% (sufficient category), besides that at the SD level by 17% (low category), at the SMP level by 22% (enough category), at the high school level by 25% (good category) and PT level by 11% (low class). So the effect of independent learning on student learning outcomes at the SMA level is higher than at the SD, SMP, and PT levels.
Co-Authors -, Ibrahim - -, Mintasrihardi - Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdul Sakban Abdul Wahab Ade Ubaidah Adhiim Rizky, Abdul Adriyanto Adriyanto Agus Herianto Agus Kurniawan Agus Sapari, Lalu Adi Agustian, Bayu Agustina, Julianti Ahmad Ahmad Ahmad Ahmad Ahmad Mizwar Ai Siti Nurmiati Aini, Kuratul Akhmad Syafruddin Alfiana Sahraini Alfira Mulya Astuti, Alfira Mulya Alia, Alia Alimin, Khairul Amalia Rahmatin Amina Tusaadia Amini, Ainin Amiruddin Ana Merdekawaty Anggita Denia Annisa Aqodiah Aqodiah Ashraf, Hameed Astriyani Oktafian Atun Yulianto Aulia, Hartika Auliah, Jumratul Awaluddin Awaluddin Hasrin Azizah, Asma Azmiatun Solehah Bahmid Hasbullah Baiq Lukita Rauhul Mardatillah Bambang Subiyakto Biswadip Basu Mallik Burhanuddin Burhanuddin Chen Jihe David Hermansyah Dedy Iswanto Deni Apriansyah Desi Nadila Dewi Pramita Dewi Pramita Dewi Pramita Dhea Davina Dirganti Dian Eka Maya Sari Doni Dwiranata Donna Ekawaty Dwi Noorma Putri Dwi Rizki Muharani Eka Fitriani Eka Fitriani Elin Nurmayanti Elin Nurmyanti Emilia Silvana Sitompul Emilianus Jehadus Erina Salsabila Ashri Ersis Warmansyah Abbas Eta Susilawati Ningsih Etika Pujiana Evi Febriana Evi Febriana, Evi Fahresi M, A. Muh. Farhan Farah Heniati Santosa Farah Heniati Santosa Fatayah Fatayah Fatmawati, Fatmawati Febriani, Putri Ayu Febrita Susanti Fety Fejriani Gervas, Hamenyimana Emanuel Habib Ratu Perwira Negara Habibi Ratu Perwira Negara Halda Nor Halisa Hani Subakti Hani Yupita Salwa Harimansyah, Reza Hendri Gunawan Herawati, Baiq Candra Hermansyah, David Herry Porda Nugroho Putro Herry Suprajitno Hidayah, Nurul Iman Hidayanti, Nur Fitri Himni Ruhmayanti Husnawati Agustina Husnul Buairi Buairi Husnul Yaqin Ibrahim Ibrahim Idris Parakkasi Ilham Ilham Intan Dwi Hastuti Intan Purnama Sari Irma Setiawan, Irma Iswanto, Dedy Iwin Ardyawin Jauhari, Lutfi Jerito Pareira Jerito Pereira Kamula, Ega Ade Kasmin Kiki Riska Ayu Kurniawati, Kiki Riska Ayu Kikin Saradela Kirti Verma Kohar, Nanang Lailatul Hoyali Laksono Trisnantoro Lala Lalu Sucipto Leni Muharni Linda Linda Linita Sulistina Lutfiyatul Wahdah M. Gufran Ali M. Hendrawansyah M. Sobry Maemunah Maemunah Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup, Mahsup Maimun Maimun Maimun Malik Ibrahim Malik Ibrahim Mardiyah Hayati Marzuki Marzuki Mas'ad Mas'ad Maujud, Fathul Maulana, M. Rizki Maulia Putri Mehmood, Saba Melani Putri Meyundasari, Maulidia Dwi Misratun Maiti Moh, Solehuddin Mohamad Iwan Fitriani Muhammad Arsyad Muhammad Hardiansyah Muhammad Khalis Ilmi Muhammad Nizaar Muhammad Rico Muhammad Salahuddin Muhammad Saleh Mukminah Mukminah Munandar, Muhammad Abdul Haris Muntu, Andi Tenri Sri Muslimin Muslimin Muslimin, Ikhwanul Mutiani Mutmainnah, Andi Muttahid Shah Nadila, Desi Ndiung, Sabina Ni Nengah Suarsini Ningsih, Nurul Hidayati Indra Noer Saudah Nur Amar Fitrianti Nur Farida Nur Insani Nurdiani Azzahrah Nurfiati Nurfiati Nurhalimah, Atin Nurmiwati, Nurmiwati Nurul Hidayati Nurul Hikmah Nurul Hikmah Nurul Hikmah Nurul Lailatul Khusniyah Palloan, Agustinus Putri Nurfirani Rahaju, Rahaju Rahman, Yosi Solidatul Rahmawati Rahmawati Raihan, Zulasfiani Rakim Mansurah Ratni Purwasih Raza, Wasim Rianto Rianto Rima Rahmaniah Rina Gustina Rini Anjani Rini, Widia Ripai Ripai Rippi Maya Rizky Eka Tuningsih, Johriah Rochgiyanti Rody Satriawan Rohayu H, Rina Rosada Rosada Rosada Rosada Ruslan B Ruslan, Rezky Rahma Saba Mehmood Saba Mehmood Saddam Saddam Sahara, Ani Sahraini, Alfiana Salma Salma Sangputri Sidik Saparwadi Saparwadi Saputri, Jesika Sari, Nur Indah Sari, Nursina Setiawati, Linda Mardiani Sholehah, Azmiatun Sintayana Muhardini Sirajuddin Sirajuddin Sirajuddin Sirajuddin Sirajuddin Siti Arfa Halisa Siti Fara Handayani Siti Fatimah Siti Hasanah Siti Raihanah Siti Soraya Sitti Fatimah Sangkala Sirate Sri Maryani Sri Mulyono Sri Rejeki Sry Wahyuningsih Suaema, Suaema Sucipto, Lalu Sucipto, Lalu Sudirman Sumarlin Sumarni Sumarni Sumarti, Baiq Sumeet Goyal Suraya Suraya Suvriadi Panggabean Suwanti, Vivi Syaifuddin Iskandar Syarifuddin Syarifuddin Tamur, Maximus Tatik Retno Murniasih Taufik Hidayat Tri Damayanty Syamsul Ummul Karyati Usman, Lalu Hamdi Valeria Suryani Kurnila Vera Mandailina Vera Mandailina Vera Mandailina Vera Mandailina, Vera Vera Mendalina Vina Melia Mardika Wahyu Ningsih Wahyudi Rakhman Wasim Raza Winda Sari Wiyana As'ari Xinxin Li Ying Zhou Yudin Citradin Yuliatun, Yuliatun Yuni Susilowati Yuni Susilowati Yuni Susilowati Yunita Septiana Anwar Zaenab Jamaludin Zubaidah, Risna