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All Journal Al-Zahra : Journal for Islamic and Arabic Studies KOMUNITAS: INTERNATIONAL JOURNAL OF INDONESIAN SOCIETY AND CULTURE Lembaran Ilmu Kependidikan Jurnal Informatika dan Teknik Elektro Terapan Jurnal Komunikasi Jurnal Administrasi dan Manajemen Pendidikan Dinamisia: Jurnal Pengabdian Kepada Masyarakat JTAM (Jurnal Teori dan Aplikasi Matematika) ORBITA: Jurnal Pendidikan dan Ilmu Fisika Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan JCES (Journal of Character Education Society) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan CIVICUS : Pendidikan-Penelitian-Pengabdian Pendidikan Pancasila dan Kewarganegaraan Scientific Journal of Reflection : Economic, Accounting, Management and Business Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Riset Teknologi dan Inovasi Pendidikan (Jartika) Jurnal Pendidikan Sejarah dan Riset Sosial Humaniora (KAGANGA) Journal of Education and Instruction (JOEAI) BIOEDUSAINS: Jurnal Pendidikan Biologi dan Sains Jurnal Pendidikan Matematika (JUDIKA EDUCATION) LUGAS Jurnal Komunikasi WIDYA LAKSANA Jurnal SPORTIF : Jurnal Penelitian Pembelajaran FONDATIA Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika PERSPEKTIF Jurnal Informatika dan Rekayasa Perangkat Lunak JATI (Jurnal Mahasiswa Teknik Informatika) JAMP : Jurnal Administrasi dan Manajemen Pendidikan Abdi Masyarakat Journal of Elementary School (JOES) Jurnal PORKES AS-SABIQUN: Jurnal Pendidikan Islam Anak Usia Dini MURHUM : JURNAL PENDIDIKAN ANAK USIA DINI Jurnal Nuansa Akademik: Jurnal Pembangunan Masyarakat Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran ELEMENTARY : Jurnal Inovasi Pendidikan Dasar Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) Bima Abdi: Jurnal Pengabdian Masyarakat EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi COMMUNITY : Jurnal Pengabdian Kepada Masyarakat ACADEMIA: Jurnal Inovasi Riset Akademik Jurnal Pengabdian Masyarakat Formosa (JPMF) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Cessie : Jurnal Ilmiah Hukum VOKAL: Jurnal Ilmiah Bahasa dan Sastra Indonesia Jurnal Indonesia Sosial Sains Journal of Software Engineering and Information System (SEIS) Jurnal Informasi Pengabdian Masyarakat Abdimas Mandalika Jurnal Penelitian dan Pengkajian Ilmiah Bima Journal of Elementary Education Al-Urwatul Wutsqo: Jurnal Ilmu Keislaman Dan Pendidikan Jurnal Ilmiah Sistem Informasi Nusantara Mengabdi kepada Negeri EduBase: Journal of Basic Education Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian Kepada Masyarakat Jurnal Pendidikan Dasar dan PAUD Jurnal Publikasi Teknik Informatika
Khaerul Anam
Universitas Terbuka
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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PELATIHAN PENGEMBANGAN MODUL AJAR BERDIFERENSIASI BAGI GURU-GURU DI SDN 1 JERINGO Muhardini, Sintayana; Haifaturrahmah, Haifaturrahmah; Ibrahim, Ibrahim; Sudarwo, Raden; Anam, Khaerul; Herianto, Agus; Mahsup, Mahsup; Setiawan, Irma; Khosiah, Khosiah; Mayasari, Deviana
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 7, No 3 (2023): September
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v7i3.17475

Abstract

ABSTRAK                                                               Perangkat pembelajaran yang digunakan oleh guru telah mengalami perubahan, saat ini dalam kurikulum merdeka, guru harus mengembangkan perangkat pembelajaran berupa modul ajar yang berprisip pada diferensiasi proses pembelajaran. Salah satunya adalah dalam pengembangan modul ajar. Kemampuan guru untuk menyesuaikan diri dan mengembangkan modul ajar berdiferensiasi masih kurang sehingga tujuan pengabdian ini yaitu untuk menambah wawasan guru dan keterampilan guru dalam mengembangkan modul ajar berdiferensiasi, khususnya bagi guru yang ada di SDN 1 Jeringo kecamatan Gunungsari. Metode yang digunakan dalam pengabdian ini yaitu deskriptif kualitatif. Pelaksanaan kegiatan pengabdian ini meliputi tiga tahapan: tahap persiapan, tahap implementasi dan tahap evaluasi kegiatan pengabdian. Hasil pengabdian ini menunjukkan bahwa kegiatan sudah berjalan dengan lancar , setiap guru berhasil mengembangkan produk berupa modul ajar berdiferensiasi sesuai dengan mata pelajaran yang di ajarkan di kelas masing-masing.ABSTRACTThe learning tools used by teachers have changed, currently in the independent curriculum, teachers must develop learning tools in the form of teaching modules that are based on the differentiation of the learning process. One of them is in the development of teaching modules. The teacher's ability to adapt and develop differentiated teaching modules is still lacking, so the purpose of this service is to add to the teacher's insight and teacher skills in developing differentiated teaching modules, especially for teachers at SDN 1 Jeringo, Gunungsari sub-district. The method used in this service is descriptive qualitative. The implementation of this service activity includes three stages: the preparation stage, the implementation stage and the evaluation stage of the service activity. The results of this dedication show that the activity has been running smoothly, each teacher has succeeded in developing a product in the form of differentiated teaching modules according to the subjects taught in their respective classes.
Pembelajaran Berbasis Pendidikan Multikultural pada Sekolah Indonesia Luar Negeri di Malaysia dan Singapura Nurmanita, Tiara Sevi; Wiradharma, Gunawan; Prasetyo, Mario Aditya; Anam, Khaerul; Suparti, Suparti
JOEAI (Journal of Education and Instruction) Vol. 8 No. 5 (2025): JOEAI (Journal of Education and Instruction)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/joeai.v8i5.16345

Abstract

The purpose of this study is to analyze the teaching and learning process at Indonesian Schools (SILN), focusing on the challenges faced in preserving Indonesian cultural heritage amidst the social, cultural, and linguistic diversity of students from diverse backgrounds. The research method used here is qualitative, based on a case study approach, and employs thematic analysis to analyze the collected data. The research team conducted in-depth interviews with school administrators, faculty, and students from Indonesian Schools in Kota Kinabalu (SIKK), Kuala Lumpur (SIKL), and Singapore (SIS) to gather information about the curriculum and pedagogy at SILN. Education at Indonesian schools abroad must be integrated with the teaching of Indonesian culture and the learning of the Indonesian language, which directly contributes to the formation of national character. The study findings are anticipated to provide theoretical contributions to the development of multicultural education and Indonesian language teaching abroad, as well as practical benefits for SILN administrators and teachers in developing more effective and inclusive teaching methods, thereby enabling education at SILN to optimally maintain and introduce Indonesian culture to students living abroad.   Keywords: Global Diversity, Multicultural Education, Teaching and Learning Process, Indonesian Schools Abroad
The Digitalization of Islamic Da’wah through the Utilization of Digital Qur’an Among Generation Z in Muncan Village Anam, Khaerul; Winengan, Winengan
FONDATIA Vol 9 No 4 (2025): DESEMBER
Publisher : Pendidikan Guru Madrasah Ibtidaiyah STIT Palapa Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36088/fondatia.v9i4.5961

Abstract

Although digital media increasingly shape Islamic practices and da’wah, limited scholarly attention has been paid to how Generation Z engages with digital Qur’an applications in rural contexts. This study aims to examine how Generation Z in Muncan Village interprets, experiences, and utilizes digital Qur’an applications as tools for both personal spirituality and religious propagation. Employing a qualitative case study design, the research involved 28 purposively selected participants aged 18–25 who actively used applications such as Quran Best, Muslim Pro, and Ayat. Data were gathered through participant observation, in-depth interviews, and documentation, and analyzed using Miles, Huberman, and Saldana’s interactive model—comprising data condensation, data display, and conclusion drawing. The findings indicate that digital Qur’an applications are perceived by Generation Z as both practical and spiritually enriching, facilitating daily worship, comprehension, reflection, and the cultivation of hybrid religiosity. Key factors influencing engagement include technological accessibility, social interaction, intrinsic spiritual motivation, and user-centered design. Despite these advantages, challenges such as digital distractions and emotional attachment to the printed mushaf persist. Additionally, the use of these applications has transformed Islamic da’wah into a participatory and ethically conscious digital practice, wherein individual acts of devotion extend into online sharing and peer-supported religious engagement. The study concludes that digital Qur’an applications significantly enhance recitation, understanding, and expressions of digital piety, reflecting a broader transformation in contemporary Islamic observance. These findings contribute to the theoretical development of digital religiosity and offer actionable insights for educators, da’i, and application developers in advancing inclusive and context-sensitive digital da’wah strategies. Future research should investigate long-term usage patterns and comparative rural–urban dynamics.
Tingkat kualitas keterampilan bermain basket pemain bola basket muda Isnaini, Lalu Moh Yudha; Saputra, Sylvana Yaka; Imansyah, Yadi; Hidayatullah, Muhammad Riyan; Anam, Khaerul
Jurnal SPORTIF : Jurnal Penelitian Pembelajaran Vol 8 No 4 (2022): Jurnal SPORTIF: Jurnal Penelitian Pembelajaran
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/js_unpgri.v8i4.18650

Abstract

The basic basketball technique is a crucial achievement for a basketball player. The purpose of this study was to determine the skill level of West Lombok basketball players in West Nusa Tenggara. This research uses survey research with a test and measurement approach, type of research is descriptive quantitative. The subjects of this study were West Lombok male basketball athletes aged 18-21 years, as many as 21 players. The instrument used is a passing test to the wall with a distance of 3 meters for 15 seconds, a shooting test for 60 seconds, and a ball dribbling test. The basketball skills test result data is divided into several categories: excellent, good, average, less, very poor, and bad. The results of this study are the Excellent category of 4 players (18.18%), the good category was shown by 14 players (63.63%), and the medium category was shown by three players (13.63%). The results of this study are that the ability to play basketball for West Lombok athletes is included in the good category. The results can provide knowledge of the condition of basketball skills so that coaches can provide a form of training that suits the player's condition.
Integrasi Deep Learning Multimodal Untuk Peramalan Penjualan Toko Menggunakan Keras Functional API Khaerul Anam; Dadang Sudrajat; Saeful Anwar; Rudi Kurniawan
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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

Abstract

Store sales forecasting based on historical data has been widely studied; however, most conventional approaches remain limited to single time series data and are less capable of capturing the complex influence of external factors. Existing knowledge suggests that deep learning can improve forecasting accuracy compared to traditional statistical methods, but what remains unclear is the extent to which multimodal integration—combining time series, economic, and categorical data—can enhance predictive performance in a dynamic retail context. This study aims to develop and evaluate a multimodal deep learning model using the Keras Functional API for store sales forecasting. The methodology involves collecting and processing daily transaction data, oil prices, holidays, and store information, followed by preprocessing, feature engineering, normalization, and time-window construction stages. Four architectures were tested—LSTM, 1D CNN, CNN+RNN, and Multiscale CNN—with performance evaluation conducted using Mean Absolute Error (MAE). The results indicate that multimodal integration yields a significant improvement compared to single-source data, with the 1D CNN model achieving the best performance at an MAE of 57,4318. The discussion highlights that integrating external variables such as oil prices and holidays enhances the robustness of predictions, while the main challenges remain in high computational requirements and limited model interpretability. This study concludes that the multimodal deep learning approach provides a scientific contribution by enriching the literature on sales forecasting while offering practical implications for the retail sector in inventory management, promotional planning, and data-driven decision-making.
Prediksi Dinamis Harga Tiket Penerbangan Pesawat Menggunakan Algoritma Regresi Linier Berganda Zacky Muhammad Dinata; Khaerul Anam; Puji Pramudya Marta; Gifthera Dwilestari
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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

Abstract

This study aims to develop a dynamic prediction model for airline ticket prices using the Multiple Linear Regression algorithm. The research utilizes the public dataset Flight Price Prediction from Kaggle, which originally contained 116,464 rows and 12 columns. After data cleaning by removing missing values (dropna()) and non-predictive columns (such as Flight_ID), the final dataset used for analysis consisted of 116,463 rows and 10 columns. Data preprocessing included handling missing data, encoding categorical variables, feature engineering, standardization, and multicollinearity testing using the Variance Inflation Factor (VIF). The MLR model achieved an R² of 0.882, MAE of 4573.37, and RMSE of 7797.53, indicating strong predictive performance for a linear model. The most influential factors were airline type, service class, number of stops, duration, and booking lead time. Full-service airlines such as Vistara and Air India tend to have higher ticket prices, while early bookings and economy class tickets significantly lower prices. The findings confirm that MLR remains a reliable baseline for interpretable, efficient, and explainable price forecasting systems. Future research may combine MLR with non-linear algorithms (e.g., Random Forest or Neural Network) to enhance accuracy. This study contributes to integrating data science into predictive information systems for dynamic airline pricing and decision support optimization.
Optimasi Akurasi dan Efisiensi Deteksi Intrusi pada Lingkungan Komputasi Awan dengan Analisis Deret Waktu CNN-LSTM Martanto; Khaerul Anam; Indra Wiguna Marthanu; Puji Pramudya Marta
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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

Abstract

This study proposes a CNN-LSTM time series analysis-based intrusion detection system (IDS) model to improve accuracy and efficiency in cloud computing environments. With more organizations moving to the cloud, security threats are becoming more sophisticated, rendering traditional detection methods inadequate. The objective of this study is to develop and evaluate a hybrid model that can address these challenges. The methodology used involves an experimental quantitative approach on a representative CSE-CIC-IDS2018 dataset. This dataset underwent rigorous data preprocessing, including data cleaning, conversion to time series format, and feature selection using stationarity and Granger causality tests. The CNN-LSTM model was then trained and evaluated using accuracy and computational efficiency metrics. The results showed superior model performance with an accuracy of 0.910, precision of 0.874, and F1-Score of 0.882. The model also demonstrated good computational efficiency, with a training time of 3.9887 seconds and a prediction time of 0.3607 seconds, making it suitable for real-time detection. This study concludes that the CNN-LSTM model is a viable solution for improving cloud computing security, offering a balance between high accuracy and good computational efficiency. Future research could explore multi-dataset validation and the integration of interpretation methods to improve its application.
Pendampingan Digitalisasi Pembuatan Laporan Keuangan Rumah Tahfidz Sholeh dalam Transparasi Laporan Keuangan Kas berbasis Website Khaerul Anam; Asep Sumantri; Niken Harsanti
Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian kepada Masyarakat Vol. 4 No. 1 (2026): Januari: Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian kepada Masyarakat
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/bumi.v4i1.1411

Abstract

Guidance on the use of digital technology is needed to produce relevant, effective, and efficient financial reports. The mentoring method is carried out in several stages. The first stage is the initial stage through observation, compiling mentoring materials, and preparing facilities and infrastructure. Second, the implementation stage involves socialization and direct practice in the form of training on the use of website-based applications, starting from recording daily transactions to creating more structured financial reports. This activity is motivated by the importance of transparent, accountable, and efficient financial governance in religious institutions, particularly Rumah Tahfidz. Through this training, managers and administrative staff will be trained to create a digital financial reporting system using a web-based platform that is easy to access and use. The expected results of this activity are the realization of a transparent and efficient web-based financial reporting system, increased digital competence of Rumah Tahfidz managers, and growing awareness of the importance of digitalization in the management of religious institutions. The transaction recording process becomes more structured, efficient, and can be done in real time, thus enabling more accurate and up-to-date financial monitoring.
Pengembangan Media Pembelajaran Leap Motion Materi Pengenalan Hewan untuk Meningkatkan Motorik Anak Usia Dini Esti Kurniawati Mahardika; Gunawan Wiradharma; Mario Aditya Prasetyo; Khaerul Anam; Muktia Pramitasari
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 8 No. 5 (2025): Bioedusains: Jurnal Pendidikan Biologi dan Sains
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/veph3n31

Abstract

This study aims to develop an interactive learning medium based on Leap Motion, namely LeapZoo: Zoo-Based Educational Game, which is designed to improve early childhood motor skills through virtual animal recognition. The method used was research and development (R&D) with the ADDIE model, focusing on the design and development stages. Validation was carried out by media, language, and early childhood education experts to assess technical and pedagogical feasibility. The results showed that LeapZoo is feasible to be used as a learning medium in early childhood education. In conclusion, gesture-based interactions such as stroking and feeding animals can stimulate children’s fine and gross motor coordination and align with Vygotsky’s theory, which emphasizes the role of social interaction and digital scaffolding in the zone of proximal development.  Keywords: Early Childhood, Gesture-Based Learning, Leap Motion, Learning Media, Motor Skills, Animal Recognition
MODEL PREDIKSI PENERIMA BANTUAN SOSIAL BERBASIS ALGORITMA RANDOM FOREST Sukma, Siti Hatmara; Suarna, Nana; Bahtiar, Agus; Marta, Puji Pramudya; Anam, Khaerul
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 1 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i1.10526

Abstract

Inaccurate targeting of social assistance beneficiaries remains a critical issue at the village level due to subjective and inconsistent manual verification processes. This study aims to develop a predictive model for determining social assistance eligibility using the Random Forest algorithm based on 2021 SDGs Village microdata from Cibeureum Village. The research involves data preprocessing, model training, and hyperparameter optimization, with performance evaluation using accuracy, precision, recall, and F1-score metrics. The proposed model achieved an accuracy of 94.34%, indicating strong and stable classification performance. Feature importance analysis shows that housing conditions, access to clean water, and asset ownership are the most influential socioeconomic indicators. These findings demonstrate that Random Forest can effectively support data-driven decision-making and improve the accuracy of social assistance distribution at the village level.
Co-Authors -, Ibrahim - Adamy, Zulham Adi Apriadi Adiansha Aditya Prasetyo, Mario Agung, Amin Hidayatullah Agus Herianto Agus Herianto Ahmad Faqih Ahmad Muzanni, Ahmad Ahmad Zainul Irfan Aini, Hizratun Ainun Jariah Al Munawar, Said Agil Husin Ali Mutafi Aliahardi Winata Alpin Herman Saputra Andayani ANDAYANI ANDAYANI Andayani Andayani Annisa, Azizah Mujahidah arina rubyasih, arina Arofah, Zianul Arpan Islami Bilal Arpan Islami Bilal Asep Sumantri Asmahul Husnah As’ad, Muhammad Aufa, Azhar Azhar Fikri, Lalu Muhammad Azizah Mujahidah Annisa Baehaqi Baiq Sarlita Kartiani, Baiq Sarlita Kartiani Baiq Yuliatin Ihsani Bani Nurhakim Cicilia Clara Devi Anggraini Cicilia Clara Devi Anggraini, Cicilia Clara Devi Dadang Sudrajat Dede Kurniyawan Denni Pratama Deviana Mayasari Dewi, Danar Kristiana Dikananda, Fatihanursari Dwi Desi Yayi Tarina Eka Fitriani Esti Kurniawati Mahardika Fadillah, Nafla Fadloli Fadloli Faizah Faizah Faizah, Fitriatul Fiani, Isma Dwi Firdaus, Zakiyah Fujiaturrahman, Sukron Gani, Ramlah AH Gani, Ramlah H. A. Gifthera Dwilestari Haeruni Haeruni Haifaturrahmah, Haifaturrahmah Hardi, Rahmat Sulhan Hardiyanti, Lesha Hasbi hasbi hasbi Hasim, Rahman Hery Susanto Hulaifi Hulaifi, Hulaifi I Nyoman Nugraha Ardana Putra Ibrahim Ibrahim Ibrahim Ibrahim Imansyah, Yadi Indra Wiguna Marthanu Irfan, Ahmad Zainul Irma Setiawan, Irma Isma Dwi Fiani Ismunandar Jariah, Dian Ainun Jessica Festy Maharani Karina Pramita Ningrum Kaslani Khosiah Khosiah Khosiah Khosiah Khosiah Khosiah, Khosiah Koesanto, Stefani M. A. A. Kukuh Tri Admaja Kurniawati Mahardika, Esti Kurniyawan, Dede Lalu Mariawan Alfarizi Lalu Moh Yudha Isnaini Lalu Parhanuddin Larasati, Ratih Lilik Evitamala Linda Ayu Darmurtika Mahsup Mahsup Mahsup, Mahsup Mario Aditya Prasetyo Mario Aditya Prasetyo Mariyati, Yuni Mariyati, Yuni Marta, Puji Pramudya Martanto Maskanah, Siti Mas’ad, Mas’ad Mayasari, Deviana Ma’arif, Samsul Meirani Harsasi Melisa Arisanty Miftahunnisa' Igiriza Milandari, Baiq Desi Mochamad Priono Mohamad Hariyono Monika Handayani, Monika Mubarok, Imam Subhi Muhammad Iqbal Muhammad Iqbal Muhammad Iqbal Mujiburrahman Mujiburrahman Mukti Amini Muktia Pramitasari Mulyawan Mutiara Magta Muzakkir Muzakkir Nanang Diana Ni Made Santi Pratiwi Niken Harsanti Nining Suryani Nining Suryani Nur Farida Nurdiansyah, Aulia Nurdin Nurdin Nurdin Nurhidayat, Yustisiana Kusuma Hapsari Nurjannah Nurjannah Nurmanita, Tiara Sevi Nurul Hidayanti Nurwahidah Nurwahidah Pramitasari, Muktia Prasetyo, Mario Aditya Priono, Mochamad Puji Pramudya Marta Purnamasari, Adinda Raden Sudarwo Rahman, Nanang Ramadhania, Aini Rani Darojah Rhamadanti, Anisa Riady, Yasir Rifa'i, Ahmad Rini Astuti Rizal Rusyana Rizky Fitri Robiansyah, Anton Rohiani, Dewi Rohmah, Dewi Wardah Mazidatur Romadhona, Farid Ronny Basista Rudi Kurniawan Sabaryati, Johri Saeful Anwar SAPUTRA, ANGGUN ANGGITA Sari, Novitalia Ablinda Sevi Nurmanita, Tiara Shafwatul, Rif’at Sintayana Muhardini Siti Aisyah Siti Sanisah Sri Tatminingsih Stefani Made Ayu Suarna, Nana Subaegi, Angga Sudarwo Sudarwo Sudarwo, Raden Sudarwo, Raden Sudarwon, Raden Sukma, Siti Hatmara Suko, Imelda Paulina Suparti Suparti Suprapto Suprapto Suryo Prabowo, Suryo Susi Susanti Susilawati Susilawati Syam, Surya Darma Syarifuddin Syarifuddin Syinta, Irhamny Maya Sylvana Yaka Saputra Tiara Sevi Nurmanita Unggul Utan Sufandi Wahidah, Ananda Wahyuni, Ayu Nur Widiyanto Wiguna Marthanu, Indra Windi Baskoro Prihandoyo Windi Baskoro Prihandoyo Winengan Winengan Wiradharma, Gunawan Wiwik Handayani Yadi Imansyah Yasir Riady Yulia, Irla Zacky Muhammad Dinata Zul Fahmi Zulham Adamy