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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Natural Science: Journal of Science and Technology The Journal of Experimental Life Sciences (JELS) CAUCHY: Jurnal Matematika Murni dan Aplikasi Bulletin of Electrical Engineering and Informatics JAS (Journal of ASEAN Studies) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Teknik Pengairan: Journal of Water Resources Engineering Dauliyah Journal of Islamic and International Affairs JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Electro Luceat BAREKENG: Jurnal Ilmu Matematika dan Terapan Edukasi Islami: Jurnal Pendidikan Islam Jurnal al-Ulum : Jurnal Pemikiran dan penelitian ke-Islaman Jurnal Sisfokom (Sistem Informasi dan Komputer) LINGUISTIK : Jurnal Bahasa dan Sastra Nation State : Journal of International Studies Justisia Ekonomika Journal of Electronics, Electromedical Engineering, and Medical Informatics Ulumuna: Jurnal Studi Keislaman RESIPROKAL: Jurnal Riset Sosiologi Progresif Aktual Community Service Journal of Indonesia Journal of Robotics and Control (JRC) INSPIRASI: Jurnal Kajian dan Penelitian Pendidikan Islam Jurnal Pendidikan dan Kewirausahaan Indonesian Journal of Electrical Engineering and Computer Science Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Management - Small and Medium Enterprises (SME's) Al Ghazali: Jurnal Kajian Pendidikan Islam dan Studi Islam Jurnal Teknik Informatika (JUTIF) Ulumuna Jurnal Teknologi Pendidikan : Jurnal Penelitian dan Pengembangan Pembelajaran Dharmas Education Journal (DE_Journal) MANAJERIAL: Jurnal Inovasi Manajemen dan Supervisi Pendidikan COMMUNITY : Jurnal Pengabdian Kepada Masyarakat Journal Corner of Education, Linguistics, and Literature Indonesian Journal of Peace and Security Studies PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Sumber Daya Air Indonesian Journal of Global Discourse Tanfidziya: Journal of Arabic Education JURNAL ILMU PENDIDIKAN Qawanin: Journal of Economic Syaria Law Prosiding University Research Colloquium POACE: Jurnal Program Studi Administrasi Pendidikan Jurnal Ekonomi Syariah dan Hukum Islam Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Innovative: Journal Of Social Science Research Jurnal Pengabdian Masyarakat Bangsa Pengabdian Pendidikan Indonesia (PPI) Indonesian Journal of Mathematics and Applications International Journal of Post-Axial: Futuristic Teaching and Learning Jurnal Kebijakan Pembangunan Daerah (JKPD) Alamtana Jurnal Cendekia Ilmiah Aspirasi: Jurnal Ilmiah Administrasi Negara Jurnal Indonesia Mengabdi
Syaiful Anam
School of Political Science and International Studies, Queensland University, Australia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering 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 Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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De-extremization Effort through Political Re-education Camps In China: A Case of Uyghur Ethnic Minorities Nagib, Rima Abdul Mujib; Anam, Syaiful
Nation State: Journal of International Studies Vol. 4 No. 1 (2021)
Publisher : Faculty of Economics and Social Science, Department of International Relations, Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/nsjis.v4i1.517

Abstract

The rise of Islamic extremism has prompted global Islamophobia and general hatred for Muslims, which is felt towards both the religion itself and ethno-religious groups such as the one present in China. The spread and acts of Islamic extremism in China might surprise the global community but the concerning level of threat on the issue affected domestic security policies. In explaining the case study, the qualitative research uses a combination of descriptive and explanatory approaches while simultaneously merging the three constructivist theory approaches from notable scholars such as Alexander Wendt, Martha Finnemore and Peter Katzenstein. The research concludes that while there may be variations of methods to combat Islamic extremism, the implementation of political re-education camp for the Uyghurs seems to be the best and most effective method in both de-extremizing the minority group from potential Islamic extremist ideology and enforcing the Chinese government’s interests. Justifications of the choice include the constructivist aspects of the international norms, repetition of historical and existing trajectories as well as the successful rate of cleansing troubled and infected people from negative ideologies based on the Chinese societal norms.
KOMPETENSI PROFESIONAL DAN KOMPETENSI PEDAGOGIK GURU PENDIDIKAN AGAMA ISLAM (PAI) Di SMA NEGERI se-KECAMATAN MRANGGEN anam, syaiful
INSPIRASI (Jurnal Kajian dan Penelitian Pendidikan Islam) Vol 4, No 1 (2020): Inspirasi
Publisher : Fakultas Agama Islam UNDARIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61689/inspirasi.v4i1.161

Abstract

Peneliti menggunakan metode kualitatif dengan pendekatan naturalistik yang menunjukkan bahwa pelaksanaan penelitian terjadi secara alamiah, apa adanya, dalam situasi normal yang tidak dimanipulasi keadaan dan kondisinya, menekankan pada deskripsi secara alami. Pengambilan data atau penjaringan fenomena dilakukan dari keadaan yang sewajarnya yang dikenal dengan sebutan ”pengambilan secara alami dan natural”. Dengan sifatnya ini maka peneliti dituntut terlibat secara langsung di lapangan dengan melihat bagaimana kompetensi professional dan kompetensi pedagogikgurupendidikan Agama Islam. Dalam hal ini peneliti berusaha memahami dan menggambarkan apa yang dipahami dan digambarkan oleh subjekpenelitian.Berdasar pada temuan data di lapangan, bahwa mayoritas guru Pendidikan Agama di SMA Negeri se-kecamatan Mranggen telah memiliki kompetensi professional dan kompetensi pedagogik. Kemampuan pedagogik; yaitu kemampuan guru menyusun RPP, Silabus, Prota dan Promes, kemampuan improvisasi metode pembelajaran dan kemampuan menilai hasil belajar siswa melalui penilaiaan berbasis kelas. kemampuan profesional; digambarkan dengan kemampuan menguasai bidang studi dilihat dari latar belakang pendidikan guru yang memiliki kualifikasi akademik dan guru mengajar sesuai dengan keahlian dan jurusan yang dimilikinya, kemampuan memahami peserta didik, kemampuan menguasai pembelajaran yang mendidik melalui kemampuan memahami jenis mata pelajaran, mengorganisasikan materi pelajaran serta mendayagunakan sumber belajar. Kata kunci:Kemampuan Kompetensi Profesional,Kemampuan Kompetensi Pedagogik Guru The Researchers used a qualitative method with a naturalistic approach that showed that the implementation of the study occurred naturally, as is, in normal situations that are not manipulated in conditions and conditions, emphasizing the description naturally. Data retrieval or screening of phenomena is carried out from a reasonable state known as "natural and natural retrieval". By this nature, researchers are required to be directly involved in the field by seeing how professional competence and pedagogical competence of Islamic education teachers. In this case the researcher tries to understand and describe what is understood and illustrated by the research subjects.Based on data findings in the field, that the majority of Religious Education teachers in the State High Schools in Mranggen sub-district already have professional and pedagogical competencies. Pedagogic ability; namely the ability of teachers to prepare lesson plans, syllabi, prota and promes, the ability to improvise learning methods and the ability to assess student learning outcomes through classroom-based assessment. professional ability; illustrated by the ability to master the field of study seen from the educational background of teachers who have academic qualifications and teaching teachers in accordance with their expertise and majors, the ability to understand students, the ability to master learning that educates through the ability to understand the types of subjects, organize subject matter and utilize resources learn.
Advanced cervical cancer classification: enhancing pap smear images with hybrid PMD filter-CLAHE Khozaimi, Ach; Darti, Isnani; Anam, Syaiful; Kusumawinahyu, Wuryansari Muharini
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 1: July 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i1.pp644-655

Abstract

Cervical cancer remains a significant health problem, especially in developing countries. Early detection is critical for effective treatment. Convolutional neural networks (CNN) have shown promise in automated cervical cancer screening, but their performance depends on pap smear image quality. This study investigates the impact of various image preprocessing techniques on CNN performance for cervical cancer classification using the SIPaKMeD dataset. Three preprocessing techniques were evaluated: PeronaMalik diffusion (PMD) filter for noise reduction, contrast-limited adaptive histogram equalization (CLAHE) for image contrast enhancement, and the proposed hybrid PMD filter-CLAHE approach. The enhanced image datasets were evaluated on pretrained models, such as ResNet-34, ResNet-50, SqueezeNet-1.0, MobileNet-V2, EfficientNet-B0, EfficientNet-B1, DenseNet121, and DenseNet-201. The results show that hybrid preprocessing PMD filter-CLAHE can improve the pap smear image quality and CNN architecture performance compared to the original images. The maximum metric improvements are 13.62% for accuracy, 10.04% for precision, 13.08% for recall, and 14.34% for F1-score. The proposed hybrid PMD filter-CLAHE technique offers a new perspective in improving cervical cancer classification performance using CNN architectures.
Dynamics of Chinese Investment in Infrastructure Development in Lombok Island Munir, Ahmad Mubarak; Husni , Valencia; Ayudaning D , Pamungkas; Anam, Syaiful
Journal Corner of Education, Linguistics, and Literature Vol. 5 No. 001 (2025): Special Issues
Publisher : CV. Tripe Konsultan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54012/jcell.v5i001.524

Abstract

Chinese investment has become the subject of ongoing debates in international political economy studies. In general, scholars argue that the benefits of Chinese investment not only depend on the relationship between China and host countries but also on various state capacities. Using a case study approach, this paper aims to contribute with other scholars to understand Chinese investment patterns in third-world countries, especially Indonesia. The volume of Chinese investment in Indonesia has increased significantly in recent years. This study will focus on understanding Chinese investment patterns in infrastructure in the Mandalika Special Economic Zone (SEZ) on Lombok Island. This project received a loan through the Asian Infrastructure Investment Bank (AIIB) of 692 million dollars during 2019-2024. This paper argues that Chinese investment has contributed to complex policy-making dynamics at the national and sub-national levels.
TRADITION OF "DINAH BEGUS" IN THE CONSTRUCTION OF HOUSES: Analysis of Islamic Perspectives and the Integration of Local Wisdom in Ponteh Galis Pamekasan Rosi, Muhammad Fathur; Anam, Syaiful; Suhaimi, Suhaimi; Marsum, Marsum
Jurnal Al-Ulum : Jurnal Pemikiran dan Penelitian Ke-Islaman Vol 12 No 3 (2025): al-Ulum: Journal of Islamic Education, Research and Thought
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/alulum.12.3.2025.199-209

Abstract

This research aims to examine the tradition of Dinah Begus in the construction of houses in Ponteh Village, Galis, Pamekasan, and analyze it from an Islamic perspective. Dinah Begus is a local tradition that has been passed down from generation to generation, where people choose a good day as the right time to start important activities, such as building a house. This belief is based on the hope of blessings, safety, and smoothness in the development process and life in the future. This research uses a descriptive qualitative approach with data collection techniques through observation, in-depth interviews, and documentation studies to understand the practices, symbols, and meanings contained in the tradition. The results of the study show that Dinah Begus contains noble values such as prudence, spirituality, and respect for ancestral traditions. From an Islamic perspective, this practice is not contradictory as long as it is not accompanied by shirk beliefs, but is understood as a form of effort in determining the time that is considered most appropriate based on people's experiences and habits. This research is expected to contribute to the preservation of local culture that is in harmony with Islamic values, as well as enrich the study of the interaction between religion and tradition in Madurese society.
Optimized pap-smear image enhancement: hybrid Perona-Malik diffusion filter-CLAHE using spider monkey optimization Khozaimi, Ach; Darti, Isnani; Muharini Kusumawinahyu, Wuryansari; Anam, Syaiful
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i4.pp2765-2775

Abstract

Pap-smear image quality is crucial for cervical cancer detection. This study introduces an optimized hybrid approach that combines the Perona-Malik diffusion (PMD) filter with contrast-limited adaptive histogram equalization (CLAHE) to enhance pap-smear image quality. The PMD filter reduces the image noise, whereas CLAHE improves the image contrast. The hybrid method was optimized using spider monkey optimization (SMO PMD-CLAHE). Blind/reference-less image spatial quality evaluator (BRISQUE) and contrast enhancement-based image quality (CEIQ) are the new objective functions for the PMD filter and CLAHE optimization, respectively. The simulations were conducted using the SIPaKMeD dataset. The results indicate that SMO outperforms state-of-the-art methods in optimizing the PMD filter and CLAHE. The proposed method achieved an average effective measure of enhancement (EME) of 5.45, root mean square (RMS) contrast of 60.45, Michelson’s contrast (MC) of 0.995, and entropy of 6.80. This approach offers a new perspective for improving pap-smear image quality.
DEVELOPMENT OF CLASSPOINT-BASED INTERACTIVE LEARNING MEDIA IN SCIENCE SUBJECTS FOR PRIMARY SCHOOL STUDENTS Anam, Syaiful; Fatirul, Achmad Noor; Fiantika, Feny Rita
Jurnal Teknologi Pendidikan : Jurnal Penelitian dan Pengembangan Pembelajaran Vol. 10 No. 3 (2025): Juli
Publisher : UNDIKMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jtp.v10i3.15247

Abstract

This research aims to develop ClassPoint-based interactive learning media in science subjects, especially Solar System material in elementary schools. Media development is carried out using the ASSURE model, which includes analysis, design, development, implementation and evaluation stages. The products that have been developed are then validated by experts in the fields of design, materials and media. Next, trials were carried out in stages through small groups, medium groups and large groups to determine the feasibility and effectiveness of the media. The research results show that the use of ClassPoint-based media has a significant positive impact on learning effectiveness. This media is able to increase students' active participation in the learning process through interactive features such as polls, quizzes and direct assessments, which support the creation of two-way interactions between teachers and students. Apart from increasing learning motivation, this media also strengthens students' conceptual understanding of the material being studied. Thus, ClassPoint can be an innovative solution for creating more interesting, interactive and meaningful learning at the basic education level.
HEALTH CLAIM INSURANCE PREDICTION USING SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION Anam, Syaiful; Putra, M. Rafael Andika; Fitriah, Zuraidah; Yanti, Indah; Hidayat, Noor; Mahanani, Dwi Mifta
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp0797-0806

Abstract

The number of claims plays an important role the profit achievement of health insurance companies. Prediction of the number of claims could give the significant implications in the profit margins generated by the health insurance company. Therefore, the prediction of claim submission by insurance users in that year needs to be done by insurance companies. Machine learning methods promise the great solution for claim prediction of the health insurance users. There are several machine learning methods that can be used for claim prediction, such as the Naïve Bayes method, Decision Tree (DT), Artificial Neural Networks (ANN) and Support Vector Machine (SVM). The previous studies show that the SVM has some advantages over the other methods. However, the performance of the SVM is determined by some parameters. Parameter selection of SVM is normally done by trial and error so that the performance is less than optimal. Some optimization algorithms based heuristic optimization can be used to determine the best parameter values of SVM, for example Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). They are able to search the global optimum, easy to be implemented. The derivatives aren’t needed in its computation. Several researches show that PSO give the better solutions if it is compared with GA. All particles in the PSO are able to find the solution near global optimal. For these reasons, this article proposes the health claim insurance prediction using SVM with PSO. The experimental results show that the SVM with PSO gives the great performance in the health claim insurance prediction and it has been proven that the SVM with PSO give better performance than the SVM standard.
DEVELOPMENT OF HEALTH INSURANCE CLAIM PREDICTION METHOD BASED ON SUPPORT VECTOR MACHINE AND BAT ALGORITHM Anam, Syaiful; Guci, Abdi Negara; Widhiatmoko, Fery; Kurniawaty, Mila; Wijaya, Komang Agus Arta
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp2281-2292

Abstract

Health insurance industry is very much needed by the community in handling the financial risks in the health sector. The number of claims greatly affects the achievement of profits and the sustainability of the health insurance industry. Therefore, filing claims by insurance users from year to year is important to be predicted in insurance firm. The Machine Learning (ML) method promises to be a good solution for predicting health insurance claims compared to conventional data analytics methods. Support Vector Machine (SVM) is one of the superior ML approaches. Nonetheless, SVM performance is controlled by the suitable selection of SVM parameters. The SVM parameters is typically selected by trial and error, sometimes resulting in not optimal performance and taking a long time to complete. Swarm intelligence-based algorithms can be used to select the best parameters from SVM. This method is capable of locating the global best solution, is simple to implemented, and doesn't involve derivatives. One of the best swarm intelligence algorithms is the Bat Algorithm (BA). BA has a faster convergence rate than other algorithms, for example Particle Swarm Optimization (PSO). Based on this situation, this paper offers the new classification model for predicting health insurance claim based on SVM and BA. The metrics utilized for evaluation are accuracy, recall, precision, f1-score, and computing time. The experimental outcomes show that the proposed approach is superior to the conventional SVM and the hybrid of SVM and PSO in forecasting health insurance claims. In addition, the proposed method has a substantially shorter computing time than the hybrid of SVM and PSO. The outcomes of the experiments also indicate that the new classification model for predicting health insurance claim based on the SVM and BA can avoid over-fitting condition.
LEADERS AND FOLLOWERS ALGORITHM FOR TRAVELING SALESMAN PROBLEM Angmalisang, Helen Yuliana; Anam, Syaiful
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0449-0456

Abstract

Leaders and Followers algorithm is a metaheuristics algorithm. In solving continuous optimization, this algorithm is proved to be better than other well-known algorithms, such as Genetic Algorithm and Particle Swarm Optimization. This paper aims to apply the Leaders and Followers algorithm for the Traveling Salesman Problem (TSP), a well-known combinatorial optimization problem to minimize distance. There are some modifications in order to fit the algorithm in TSP problems. Some most-used-problems in TSP are used to test this algorithm. The result is that the Leaders and Followers algorithm performs well, stable, and guarantees the optimality of the obtained solution in TSP with fewer than 20 cities. In TSP with a bigger number of cities, the proposed algorithm is not stable and might has difficulties in finding the optimal solutions.
Co-Authors A.Mirza Fauzan Gazali, A.Mirza Fauzan Abd. Aziz Abdul Bari Abdul Rouf Alghofari Achmad Noor Fatirul Achmad Taufik Adella Novita Aeri Rachmad Agus Suryanto Ahmad Afif Supianto Ahmad Mubarak Munir Aji, Kurniawan Akhmad Khumaidi Akhodiyah, Sulistina Alfian Hidayat Alifiobono, Adeva Amar, Siti Salama Anam, Afdolul Andi Kurniawan Andreas Andriani , Fitri ani ani Antariksa Sudikno Ardiyansa, Safrizal Ardana Aris Munandar Asyidiqi, Hasbi Asyrofa Rahmi, Asyrofa Ayu Dwi Lestari, Cynthia Ayudaning D , Pamungkas Aziz Bukhori, Hilmi Baehaqi Bukhori, Hilmi Aziz Bustamin, Syamsumar Choa, Yeshua Austin Harvey Deny Tisna Amijaya, Fidia Devita Sari, Nindy Dian Eka Ratnawati Dian Sisinggih Dian Sisingih, Dian Dwi Mifta Mahanani, Dwi Mifta Edi Satriyanto Fahrul Riza Fajri, Haidar Ahmad Fauzi, Rahman Ali Feby Indriana Yusuf Feny Rita Fiantika Fery Widhiatmoko Fisnia Pratami Fitriah, Zuraidah Guci, Abdi Negara Gustiningsih Hapsani, Anggi Habibi, Nur Syakherul Hadi Wijoyo, Satrio Hady Rasikhun Hamdani, Ibnu Mansyur Hamiduddin, Hamiduddin Hanayanti, Citra Siwi Handayani, Nilam Hasbullah Hasbullah Hdayat, Alfian Helen Yuliana Angmalisang Husni , Valencia Ikhwanudin, Tedy Ilyas, Muhaimin Imam Nurhadi Purwanto Indah Yanti Irma Noervadila Isnani Darti Judijanto, Loso Julianto, Eric Karjaya, Lalu Puttrawandi Karsim, Karsim Kasanova, Ria Kasyful Amron Khafid Ismail Khairurrizki, Khairurrizki Khozaimi, Ach. Kurniadi, Harso Kusumawinahyu, Wuryansari M Kusumo, R. Budiarianto Suryo Lailatul Jannah, Noor Lestari, Baiq Ulfa Septi Lestari, Cynthia Ayu Dwi Lestari, Silvya Anggun Lina, Roidah Maharani, Natasha Clarissa Maharani, Natasha Clarrisa mahmudy, wayan f Mala Mardialina Mar'atun, Chairanil Marjono Marjono Marsum Marsum Maulana, Avin Maulana, M. Idam Maulana, Zacki Ibnu Miftahus Surur, Miftahus Mila Kurniawaty Muhammad Rivai Muharini Kusumawinahyu, Wuryansari Muhtashor, Imam Muzaky, Ahmad Nagib, Rima Abdul Mujib Nahdhiyah, Ulfatun Nalasari , Lista Tri Nanang Rifa'i, Muhamad Ni Wayan Surya Wardhani Nirmalasari, Ririn Nono Hery Yoenanto Noor Hidayat, Noor NUR HAMID Nur Shofianah Nurdiana, Titin Pardede, Hilman Ferdinandus Prasetyo, Onky Puspito, Bayu Putra, M. Rafael Andika R. Suhaimi Rahmawati Rifa'i, Dhila Silvia Rahmawati, Reny Rosalina Ramdani, Ahmad Ratri, Dian Kusumaning Rifa'i, Muhamad Nanang Rifa’i , Muhamad Nanang Rini Aristin, Rini RINI RINI Rizki, Kurnia Zulhandayani robbaniyah, qiyadah Ronaldo, Reza Rosi, Muhammad Fathur Rosid, Muchamad Rosulana, Ahmad Rudiyanto, Mohammad Sabilla, Kinanti Rizsa Safitri, Anisa Dewi Saiful Bukhori Saputri, Levia Sari, Meylita Sa’adah, Umu Shofianah, Nur Siska Siska Sofia Mendez Suhaimi Suhaimi Sukma Umbara Tirta Firdaus, Sukma Umbara Tirta Sundari Sundari Suryani Suryani Syaiful . Syarifatul Azaliyah, Syarifatul Trisilowati Trisilowati, Trisilowati Tuloli, Mohamad Handri Tuminem, Hannan Azka Umbara, Sukma Utomo, M. Chandra Cahyo Utomo, Yudo Bismo Uyun, Nazdrotul Very Dermawan Vicky Zilvan, Vicky Wahada, Listiatul Wayan Firdaus Mahmudy Widiyanto Widiyanto Widyantoro, Didik Wijaya, Komang Agus Arta Wuryasari Muharini Kusumawinahyu Yuli Kartika Dewi Yunanto, Fredy Zabadi, Fairus Zulkarnain Zulkarnain