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Maimunah, Maimunah

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Prediksi Jumlah Kedatangan Pasien Puskesmas Menggunakan Metode Backpropagation Artificial Neural Network Sandi Satria Alamsyah; Maimunah, Maimunah; Pristi Sukmasetya
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 6 (2024): Juni 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i6.1922

Patient visit prediction is a crucial aspect of community health center management to optimize the allocation of available resources. However, the erratic pattern of patient visits often complicates the planning and decision-making processes. This research aims to develop a patient visit prediction model for Grabag 1 Community Health Center using the backpropagation artificial neural network method. Backpropagation is a learning algorithm technique used in artificial neural network models with multiple hidden layers. In this research, there are several stages of data processing, including selecting the data attributes used, handling missing values, data normalization, sliding window, and dividing the data into training and testing sets. This prediction can be utilized by the health center to efficiently plan resource requirements, such as scheduling medical staff, managing medication supplies, and maintaining supporting facilities. The data used in this research is a time series spanning from 2019 to 2023. After conducting various experiments, the best results were obtained using a combination of 500 epochs, 30 input neurons, 1 hidden layer, 7 hidden neurons, and 1 output neuron. This artificial neural network architecture configuration achieved a Mean Squared Error (MSE) of 0.00229501 for the training data and 0.00782101 for the testing data.

MENGHAYATI AL-QURAN SEBAGAI IMPLEMENTASI DALAM KEHIDUPAN DI DUNIA Maimunah, Maimunah
Jurnal Kualitas pendidikan (JKP) Vol 2 No 2 (2024)
Publisher : CV Edu Tech Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65311/jkp.v2i2.734

Al-Quran sejatinya diturunkan oleh Allah untuk menjadi petunjuk, penjelasan ataspetunjuk itu dan pembeda antara hak dan batil, benar dan salah, baik dan burukserta terpuji dan tercela.Keimanan terhadap Al-Quran itu mengharuskan untuk tidak bersikap ‘diskriminatif’terhadap seluruh isi dan kandungan Al-Quran.Menjadikan Al-Quran sebagai pedoman hidup itu mengharuskan kita untukmengambil dan melaksanakan ketentuan-ketentuan dan hukum-hukum yangdiberikan oleh al-Quran dan hadits Nabi saja.Menjadikan Al-Quran sebagai pedoman hidup tak akan sempurna kecuali sampaipada penerapan hukum-hukum syariah islam dalam seluruh aspek kehidupansecara utuh dan totalitas..Musuh $tama manusia adalah dirinya sendiri. Kegagalan utama manusia adalah kesombongan &.Kebodohan utama manusia adalah sifatnya yang penipu dan munafik.Kesedihan utama manusia adalah sifat iri hati).Kesalahan utama manusia adalah mengabaikan dirinya sendiri, dosa utama manusia adalah menipu dirinya sendiri, sifat utama manusia yang menyedihkan adalah perasaan rendah diri

Pengembangan Soal Tipe Asesmen Kompetensi Minimum (AKM) Berbasis Konteks Budaya Melayu untuk Mengukur Kemampuan Literasi Numerasi Siswa Fase D Elina, Elina; Maimunah, Maimunah
Jurnal Cendekia : Jurnal Pendidikan Matematika Vol 8 No 3 (2024): Jurnal Cendekia: Jurnal Pendidikan Matematika Volume 8 Nomor 3 Tahun 2024
Publisher : Mathematics Education Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cendekia.v8i3.3219

Keterampilan literasi numerasi sangat penting bagi siswa, namun tingkat keterampilan ini saat ini masih relatif rendah, khususnya di kalangan siswa di SMPN 3 Siak Kecil. Penelitian ini bertujuan untuk mengevaluasi keterampilan literasi numerasi siswa Fase D melalui konten Aljabar. Penelitian ini menggunakan metodologi Penelitian dan Pengembangan (R&D), dengan memanfaatkan model penelitian formatif Tessmer. Pendekatan ini terdiri dari dua tahap utama yaitu: preliminary dan formative evaluation. Tahap preliminary meliputi analisis dan desain, sedangkan tahap formative evaluation meliputi self evaluation, expert review, one-to-one, small group, dan filed test. Data dikumpulkan melalui serangkaian tes, kuesioner, wawancara, dan dokumentasi. Subjek penelitian ini meliputi 30 siswa kelas delapan di SMPN 3 Siak Kecil, yang mewakili berbagai kemampuan dari tinggi hingga rendah. Temuan menunjukkan bahwa sementara 30 pertanyaan divalidasi, hanya 26 pertanyaan yang dipastikan valid, andal, dan menunjukkan daya diskriminatif dan tingkat kesulitan yang baik. Soal-soal AKM yang berlandaskan pada budaya Melayu Riau terbukti menjadi alat yang efektif untuk menilai kemampuan literasi numerasi siswa Fase D dan relevan dengan konteks budaya setempat. Khususnya, lebih dari 50% siswa masih berada pada tingkat dasar, sehingga memerlukan intervensi yang terarah untuk meningkatkan kemampuan literasi numerasi mereka.

Pengembangan LKPD Berbasis Discovery learning Konten Luas Permukaan dan Volume Bangun Ruang Sisi Datar untuk Memfasilitasi Kemampuan Pemecahan Masalah Matematis Peserta Didik Fase-D Mawaddah, Elju Nesa; Armis, Armis; Maimunah, Maimunah
Jurnal Cendekia : Jurnal Pendidikan Matematika Vol 8 No 2 (2024): Jurnal Cendekia: Jurnal Pendidikan Matematika Volume 8 Nomor 2 Tahun 2024
Publisher : Mathematics Education Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cendekia.v8i2.3316

Penelitian ini bertujuan untuk mengembangkan LKPD berbasis discovery learning konten luas permukaan dan volume bangun ruang sisi datar guna memfasilitasi KPMM. KPMM sebagai kemampuan dasar yang penting pada proses pembelajaran terutama dalam mencari selesaian persoalan matematis maupun dalam keseharian peserta didik. Akan tetapi, bahan ajar yang mampu memfasilitasi KPMM masih sangat minim, akibatnya sangat butuh mengembangkan suatu bahan ajar, satu diantaranya LKPD. Model pengembangan yang dimanfaatkan adalah adptasi Thiangarajan atau 4-D “Define, Design, Develop, Disseminate” yang berguna menciptakan LKPD yang valid dan praktis. Subjek pengujian yang terlibat dalam penelitian ini yakni peserta didik SMPN 19 Pekanbaru kelas VIII. Instrumen penelitian yang dimanfaatkan adalah lembar validasi, wawancara, angket respon peserta didik, dan observasi. Kevalidan LKPD didapat melalui proses validasi untuk menilai aspek tampilan LKPD, isi/materi, kesesuaian dengan discovery learning, KPMM, syarat teknis, konstruksi, dan didaktis. Sementara itu, kepraktisan didapat dari ujicoba untuk mengevaluasi aspek tampilan, isi/materi, dan kemudahan penggunaan LKPD. Analisis data dilaksanakan terhadap hasil validasi dan angket respon peserta didik. Temuan analisis memperlihatkan bahwa LKPD mempunyai validitas 90,71% dan tergolong “sangat valid”. Uji coba kelompok kecil dan besar juga memperlihatkan kepraktisan LKPD dengan persentase 87,51% dan 87,34%, yang tergolong “praktis”. Analisis data memperlihatkan bahwa LKPD yang diciptakan sudah mencapai standar validitas dan praktikalitas, sehingga memenuhi syarat untuk dimanfaatkan dalam aktivitas belajar mengajar.

ANALYSIS OF THE NUMERACY SKILLS OF JUNIOR HIGH SCHOOL STUDENTS IN SOLVING SYSTEMS OF LINEAR EQUATIONS WITH TWO VARIABLES (SPLDV) PROBLEMS Rahim, Essy Puspita; Maimunah, Maimunah; Suanto, Elfis
Jurnal Pendidikan Matematika dan IPA Vol 16, No 1 (2025): January 2025
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jpmipa.v16i1.80336

This research is motivated by the fact that numeracy skills are fundamental abilities that every student must possess. However, observations in the field indicate that students' mathematical abilities, particularly in the topic of systems of linear equations with two variables (SPLDV), are still relatively low. This study aims to describe students' numeracy skills, which are divided into three stages: (1) knowing, (2) applying, and (3) reasoning. The study involves 20 eighth-grade students as subjects. The method used is descriptive qualitative, with data collection techniques including tests, interviews, and documentation. Data analysis is conducted based on three levels of numeracy skills: high, medium, and low. The results show that students' computational abilities in the SPLDV material are generally low, with an average score of 33%. The implications of these findings highlight the need for the implementation of more varied and contextual teaching strategies to enhance students' computational skills. This research can serve as a foundation for teachers to provide further assistance to students facing difficulties, with an emphasis on improving overall computational abilities.

Analisis Kemampuan Pemecahan Masalah Berdasarkan Teori Polya dalam Menyelesaikan Soal Materi Perbandingan Aflah, Tania; Maimunah, Maimunah; Roza, Yenita
Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika Vol 10 No 2 (2024): Jurnal Math Educator Nusantara
Publisher : Program Studi Pendidikan Matematika, Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jmen.v10i2.22784

The purpose of this study is to describe the problem-solving ability in comparative materials, especially in story problems. The ability to solve problems by using the strategy of polya theory, namely: understanding the problem, making a plan, implementing the plan and re-examining. The research method used is qualitative descriptive. The data collection techniques used in this study are written tests and interviews. The subjects of this study include 3 grade VII students of SMP Negeri 48 Pekanbaru who have been taught comparative material. The research instruments used are description tests and interview guidelines. The results of the study showed that (1) students with high academic abilities were able to understand problems, plan problem solving, implement solution plans, and recheck answers according to Polya stages. (2) Students with medium academic ability are only able to understand problems, plan and implement problem solving plans, but are not able to recheck the answers. (3) Students with low academic ability have difficulty understanding problems, do not write down a solution plan, have difficulty doing calculations, and are unable to recheck answers.

Optimasi Data Preprocessing dan Hyperparameter Tuning pada Klasifikasi Penyakit Daun Apel menggunakan DenseNet169 Ramadhan, Gilang Satria Putra; Maimunah, Maimunah; Nugroho, Setiya
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6134

Apples are one of the horticultural commodities in Indonesia with production reaching 5,235,955 quintals in 2022, but decreasing to 3,925,628 quintals in 2023. One of the causes of this decline is diseases in apple plants that occur on the leaves, such as scab, black rot, and cedar rust, which can result in a decrease in the quality and quantity of production. Therefore, technology is needed for fast and accurate classification of diseases on apple leaves. This study uses a CNN model with DenseNet169 with optimization on data preprocessing and hyperparameter tuning to improve the accuracy of the apple leaf disease classification model. A total of 36 combinations of data preprocessing and hyperparameter tuning scenarios were tested on the apple leaf image dataset consisting of 4 classes: scab, black rot, cedar rust, and healthy. The optimal scenario is obtained from a combination of RGB + CLAHE with RMSprop optimizer and a learning rate of 0.0001 (P6 + H4), which results in 99.39% accuracy, 99.4% precision, 99.39% recall, and 99.39% f1-score. The results of this study show that the selection of the right preprocessing data and hyperparameter tuning greatly affects the performance of the apple leaf disease classification model.

Implementasi Algoritma YOLO V8 (You Only Look Once) Dalam Deteksi Penyakit Daun Durian Putra, Raihan Restu; Maimunah, Maimunah; Sasongko, Dimas
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6136

The durian plant (Durio zibethinus Murr.) is one of the leading tropical fruit agricultural products in Indonesia with high economic value. However, durian productivity is often disrupted by leaf disease attacks such as Algal Leaf Spot, Leaf Blight, and Leaf Spot, which results in a decrease in the quality of the crop and its quantity. As a step to address this problem, the goal of this study is to automatically detect durian leaf disease using the YOLOv8 algorithm, a new deep learning model developed to detect objects directly in real time. This study used a data set that included 420 images of durian leaf disease in four categories, Algal Leaf Spot, Leaf Blight, Leaf Spot, and No Disease. This study uses three dataset distribution scenarios (70:20:10, 75:15:10, and 80:10:10), with various epoch and batch size configurations. The results show that the 70:20:10 scenario with 100 epochs and batch size 16 produces the best performance, with a precision value of 0.994, recall of 0.989, mAP50 of 0.990, and mAP50-95 of 0.927. The model developed is able to detect durian leaf disease with high accuracy and fast inference time. The implementation of this model through the Roboflow platform allows efficient use and is ready to be implemented to support the sustainable increase in durian productivity. This research also makes a significant contribution to the development of deep learning-based agricultural technology in Indonesia.

ANALISIS VALIDASI PENGEMBANGAN MODUL AJAR MATEMATIKA PADA TOPIK PLSV DAN PTLSV Fauziah, Nur; Maimunah, Maimunah; Roza, Yenita
J-PiMat : Jurnal Pendidikan Matematika Vol 6, No 2 (2024): J-PiMat
Publisher : Prodi Pendidikan Matematika STKIP Persada Khatu;istiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/j-pimat.v6i2.3625

Penelitian ini dilatarbelakangi oleh rendahnya kecakapan representasi matematis dan terbatasnya modul ajar yang sesuai dengan konteks dan pengalaman peserta didik sehingga peserta didik kesulitan dalam belajar matematika. Tujuan penelitian ini untuk menghasilkan modul ajar dan soal kecakapan representasi matematis pada topik persamaan dan pertidaksamaan linear satu variabel yang valid. Penelitian ini adalah suatu proses kegiatan untuk menghasilkan modul ajar yang dikembangkan pada topik persamaan dan pertidaksamaan linear satu variabel dengan model pengembangan 4-D yang dimodifikasi tanpa menyertakan tahap ujicoba, evaluasi dan revisi sampai selesai dilakukan. Penulisan ini hanya difokuskan pada proses uji validasi. Produk yang divalidasi yaitu modul ajar dan soal tes kecakapan representasi matematis. Teknik pengumpulan data yang digunakan meliputi angket dan wawancara. Hasil penelitian dari penilaian validator modul ajar dan soal tes kecakapan representasi matematis yang dikembangkan memenuhi kriteria sangat valid dengan persentase rata-rata sebesar 96.50% dan 98.33% . Hasil akhri dari penelitian ini adalah diperoleh bahwa modul ajar dan soal kecakapan representasi matematis yang dikembangkan sudah memenuhi kriteria valid. Hasil penelitian ini dapat digunakan dalam melakukan pengembangan modul ajar pada topik lainnya dan soal yang dikembangkan dapat digunakan sebagai referensi dan di ujicoba pada penelitian lainnya.Kata Kunci: Modul Ajar, Model 4-D, Topik PLSV dan PtLSV

Inovasi Evaluasi Pembelajaran dalam Kurikulum PAI Maimunah, Maimunah
AL-MIKRAJ Jurnal Studi Islam dan Humaniora (E-ISSN 2745-4584) Vol 4 No 02 (2024): Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v4i02.5241

The purpose of writing this work is to describe Learning Evaluation Innovations in the PAI Curriculum. This library research research method includes collecting literature related to learning evaluation innovations in the PAI curriculum, literature selection based on inclusion and exclusion criteria, as well as literature analysis to identify patterns, trends and related findings. Data will be collected from academic literature, scientific journals, books and relevant online sources, then analyzed carefully to gain an in-depth understanding of the research topic. The results of this work, namely learning evaluation innovations in the PAI curriculum in public schools and madrasas in Indonesia, are important for overcoming challenges such as time constraints and the lack of integration of religious values in students' lives. Proper evaluation helps identify curriculum strengths and weaknesses and provides recommendations for improvement, while innovation in learning methods needs to be increased to achieve comprehensive and relevant educational goals. In madrasas, PAI curriculum evaluation should include an assessment of student attitudes, knowledge and skills, with special attention to the implementation of innovative learning methods and infrastructure development and teacher quality.

Co-Authors , Deviona, , A'isy, Muhammad Fauzan Abdi Dewi Setyana Abdul Hafidz Abdul Hamid Arribathi Adiran, Adiran Afdareza, Melva Yola Afifahtunnisak Afifahtunnisak Aflah, Tania Afriandy, Ariel AFRIANTI, NINA Agustina, Vira Ahmad Hidayat Ahmad Zakiamani Ainul Hikmah Aisyah Amini Aisyah, Euis Sitinur Ajarwiro, Cweto Bolodiko Akbar, Muhammad Fauzan Akbar, Rafi Al Ikhsan, Safaruddin Hidayat Ali Kesuma Ali Murtopo Almira, Venia Amaruddin, Amaruddin Ana Amiroh Andrian, Dedek Angelina, Celynt Anggraini, Novi Kusuma Anggrayni, M Anike Putri Anike Putri, Anike Anisyah, Nur Anita Setyowati Srie Gunarti Apriliadi, Muhammad Akbar Aprillia, Dea Ardhin Primadewi Ari Hayati Arinda Pratini Ariyani, Rika Armis Armis Armis Aslamiah Aslamiah Asmariani, Asmariani Asnizar, Asnizar Atma Murni Atma Murni Atma Murni Atmaja, Audi Ilham Aulia Afifah Aulia, Jannatul Aulia, Rachmasari Azizah Azizah Azizah Azizah Bambang Ekanara Bayu Irwandi Bella Putri Khairani Brilyan Amry Siregar Budiarti, Dwi Buhori Muslim Burmansyah, Sefri Cahyani, Putri Aprilia Cahyo, Alqomari Canna, Nurhasanah Casmi Fitri Yani Catur Wulansari, Erma Chairul, Chairul Cholis Sa’dijah Chresty Anggreani Cinantya, Celia Cut Eka Fitriana Dacara, Editha Damiyanti, Enri Daratista, Hesti Darsono Simbolon Dea Darma Putri Delfita, Ovemy Delvira, Anissa Adelia Devi Oktaviana Dewi Murni DEWITA, FITRA Dhina Mustikaningrum Dianna Sulistyani Dianta, Yudi Jepri Dimas Sasongko Dina Amalia Dupni, Dupni Eka Hayu Elfis Suanto Elina Elina Elina, Elina Emmy Sri Mahreda Endah Ratna Arumi, Endah Ratna Endang Hariani Endang, Endang Sri Sartika Endrawati, Tri Engsas Diniati Adifta Eny Dwi Pujawati Erma Susanti Erna Noviantii Ernawati Ernawati Erpina Ulva Evi Yulianti F, Farida Fadhillah, Decky Sapta Fadilah Gustin Khainingsih Fadillah, Masrianti Fadliani, Syifana Aulia Fahrurazi Fahrurazi, Fahrurazi Fathul Jannah, Fathul Fatimah, Aldina Fatimah, Maulina Fatkhurohman Taufik Faturrahman Febriyanto, Alfian Finata Rastic Andrari Firdausi , M.Imam Firdausi, M.Imam Fitni Fitni Fitni Fitni Fitria Angela Fitria, Nava Vathul Fitriah Akbar, Lailatus Saidah Fitriyawany Fitriyawany Gianti, Ridhoul Wahidi Gumanti Gumanti Gusri Yadrika Gustina, Helma Lia Hafizhah Fasaenjori Hamzah Hamzah Hanandika R., Afza Afandra Handoyo, Muhammad Angger Hapipah, Hapipah Harianti, Putri Hariati, Hariati HARIYANTO HARIYANTO Hartini Haritani Hartini, Tuti Hasan Zayadi Hasani, Rofi Abul Hasna, Annisa Hayatul Ismi Hayatun Nufus Henderi . Herlawati Herlawati Herlin Lutfiannisa, Alifia Hery Prasetyo, Hery Hesty Marwani Siregar Hikmah, Ainul Hulu, Guslin Humiati, Humiati Husnul Khotimah Ida Ayu Putu Sri Widnyani Ida Fitriani Ihda Hasbiyati Ikhsan, Maulana Ilham Saputra Ilma Riksa Isfiani, Ilma Riksa Imam Himawan Imani, Risti Atika Indah Dwi Permata Indra Bayu Pangestu Indrawan, Irjus Indriani, Atikah Ira Dama Yanti Irfandi, Awalia Iryanti, Dian Ekayuti Ismawati, Iis Istifadah, Shovi Yatul J. Junaidi Julaiwa, Siti Hawa Juliana Purba Juliansya, Aditya Juniati Juniati Kamila, Elsya Nur Kartiko Kusumo Wardani, Dyah Woro Kartini Kartini Kartini Kartini, Kartini Kartini, Kartini Karuniakhalida, Puji Keumala Citra Sarina Zein Khairiyah, Yaumil khairudin, Fiddian Khamid, Mayu Shofwan Khatimah, Khusnul Khoiriyah, Ziadatin KRISTIAWAN KRISTIAWAN laili wahyunita, laili Lestari, Anisah Dwi Lianti, Wiwit Lica Perta Juliyas Muharni Lika Apreasta Linda Ardani Afriliziana Lizikrina, Reza M. Yogi Riyantama Isjoni Mahmidatul Fitri Mahmud Mahmud Mahrizal Mahrizal Maisah Maisah Malikus Sumadyo Malinda, Ari Mandira, Gracia Mar'atuz Zakiyah Marhamah Marhamah Mariani Mariani Martha, Cut Wira Sukma Martono, Aris Masrianti Fadillah MAULANA, ANAS Maulidi Firlandiana Mawaddah, Elju Nesa Mayangsari, Febry Mazlan Mazlan Meidar Hadi Avizenna Meldawati Meldawati Melinda, Nanda Melva Yola Afdareza Meta Sartika Miladiarsi Mirawati Mirawati Mita Septiani Monalisa Monalisa Mufidah, Aghniya Syakira Muhammad Resa Arif Yudianto Muhammad Rizky Pinem Muhammad Syafri Muhammad Syafri, Muhammad Muhammad Thamrin Muhammad Zaki Muhammad, Fitro Praaidinza Muhammadi, Muhammadi Mukhlis R. Mukhlisatul Humaira Syaifar Mukhtar Hanafi Mukhtar, Haniah Mukhti Randa Mustangin Mustangin Mutmainah, Iis Nadeak, Theresia Evy Yulianty Nadila Nadyati Putri Nahor Murani Hutapea Najwa, Nur Nashiroh, Nashiroh Nasrullah Nasrullah Nasution, Syafri Martabe Nelly Astimar Ni'mah, Ainun Nida Sri Rahmita Hasibuan Ningsih, Alif Setya Nining Setiani Nirmala . Nisa Ul Amini Nisa, Ivani Choirun Noorhapizah Nopi Stiyati Prihatini Norwili, Norwili Novitawati Novitawati Nur Aisyah, Euis Siti Nur Arif Nur Arif, Nur Nur Aziela Nur Fauziah Nur Fauziah Nur Jannah Nur Solihin Nur Syafitri Nuraini Nadhifa Nuraini Nuraini Nurfitriani, Devi Nurhamdiah Nurhamdiah Nurhasanah Nurhasanah Nuriyah , Nuriyah Nuriyah, Nuriyah Nurlela Nurlela Nurrohman, Muhamad Nurul Afiah Nurul Izatul Azizah Nurul Qomariah Nurzaelani, Mohammad Muhyidin Oktavia, Dian Oktaviani, Voni Pattimura SC Payasto, Eko Pelu, Ibnu Elmi A.S. Perala, Iwan Pernantah, Piki Setri Prasetya, Herry Prastio, Aji Prayoga, Andri Prihartanto, Lucky Prima Dina Atika Priyanto, Agung Teguh Puji Karuniakhalida Pujiarto, Pujiarto Purba, Ira Devi Anna Purwanti, Ratna Purwanto Purwanto Puspitorini, Palupi Putra, Raihan Restu Putri Harianti Putri Yuanita Putri, Aprilia Ihsani Putri, Laksita Nirmala Putri, Natasya Amalia Qadarsih, Nurmala Dewi Raditya Akbar, Nanda Rafael, Rafael Rahayu, Chyntia Mughniani Rahayu, Vitria Puri Rahim, Essy Puspita Rahimah, Ainor Rahmadya Trias Handayanto Rahmat Azhari Kemal Rahmi Mutia Rahmi, Gustina Ramadhan, Gilang Satria Putra Ramadhani, Nelsi Ramiati Ramiati Ratih Mauliandri Ravina Faradilla Syahril Refli Annisa Reni Marthalena Restu Ayu Gustianingum RETNO SULISTYOWATI Rezkiatu Novia Alhikmah Riady, Recky Jedianta Rianti, Rianti Ridha Chairunisa Ridhatul Husna Rifda Ulfa Mukhtar Rini Dian Anggraini Rischa Sukma Wardhani Rismadefi - Woferst Riza Derniati Rizki Amelia, Rodhiah Rofiuddin, Mohammad Rosari, Naomi Putri Rossa Linna Royanda, Shofia Putri RR. Ella Evrita Hestiandari Ruslinawati Ruslinawati, Ruslinawati Sa'dudin, Ihsan Safiatuddin, Safiatuddin Safriana Safriana Sagita, Widi Sahrul Sahrul Saim, Saim Sally Juliani Sally Sholahuddin Samuel Samuel Sandi Satria Alamsyah Sandy, Aisyah Trees Saputra, Dio Raka Venda Saputra, Haris Adi Sartika, Endang Sri Sehatta Saragih Sejati, Erna Wahyu senita, arialis Serdani, Army Dita Seta Samsiana Setiawan, Yohanes Ari Setiya Nugroho Setiya Nugroho Setya Permana Sutisna Shafarotul, Syaela Zakiyatus Shanti Fitriani Sherli Pitrah Dewi Shodiq, Umar Sholeh, Habib Sidiqiyah, Siti Muslimah Sindi Amelia Sisworo Siti Nuraini Siti Raihanah Sofiya, Nur Ainin Solly Aryza Sonia, Anisa Sri Murniati Sri Yuliani Suanto, Elfis Suartika, Ika Sugianto Sugianto Suhady, Wandy Suhaimi Suhaimi Sukmasetya, Pristi Sukmasetya, Pristy Sulistyaniningsih, Endang Suprayitno Suprayitno Suraji Suraji Suriansyah, Eka Suripah Suripah Suryani Suryani Susanti Sufyadi Susanti, Wiwit Susda Heleni Suyani, Ida Sugeng Syafril Syafril Syahril, Ravina Faradilla Syahrul Amri Syaikhu Syaikhu, Syaikhu Syarifah Nur Siregar Syarifuddin Syarifuddin Syarifuddin, Rahmad Syef Harapit Syintia Dewi Ananta Shinta Dewi Tahir, Muhlis Tasalim, Rian Titi Solfitri Tito Rizki Purnomo Tomy Abdullah Tuti Alawiyah Tuti Alawiyah Uci Marianda Uirma Isnani Anisa Uky Yudatama, Uky Ulfa, Desnani Ulfia Hasanah Umari, Iskandar Urwatil Usqo Uswatun Hasanah Utama, Agus Hadi Utami, Putri Dika Utari, Aulia Rahmi Vada Saputra, Arya Oneals Vioshka, Yeyen W, Alfan Setya Wahdati, Sari Wahyudi, Mohammad Dani Wahyudin Wahyudin Wan Nishfa Dewi Wandy Suhady Widya Shintya Dewi Winaldi Winaldi Winanda, Rahma Witri Melfawani Wiwik Julia Fitri Wiwik Julia Wiwik Fitri Yanti, Wija Yeni Raini Yenita Roza Yenni Kusumawati Yogi Prayulia Trisandi Yola Putri Anggraini Yoshe Larissa Ulfa Yudianto, Resa Arif Yufentya, W Eggy Yuherni Yuherni Yulandari, Tiara Yus Yudhyantoro Yusanto Nugroho Zahra, Mustika Meisnaeni Zakiyah, Mar’atuz Zanufa, Putri Zelda, Zelda Zetriuslita Zharifatul Aqilah Zuhri D Zuhri D Zuhri D Zuhri D, Zuhri D Zuhri Daim Zulfa Wahyuni Zulkarnain Zulkarnain Zulkarnain Zulkarnain

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