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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 Et-Tijarie: Jurnal Hukum dan Bisnis Syariah 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 Kuttab: Jurnal Ilmu Pendidikan Islam 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 Value: Jurnal Manajemen dan Akuntansi 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 At Turots: Jurnal Pendidikan Islam Dharmas Education Journal (DE_Journal) MANAJERIAL: Jurnal Inovasi Manajemen dan Supervisi Pendidikan COMMUNITY : Jurnal Pengabdian Kepada Masyarakat An-Nuha : Jurnal Pendidikan Islam 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 Journal Research of Social Science, Economics, and Management 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
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PENERAPAN METODE MOORA DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN DOSEN PEMBIMBING TUGAS AKHIR Utomo, Yudo Bismo; Kurniadi, Harso; Anam, Syaiful; Rachmad, Aeri
Electro Luceat Vol 10 No 2 (2024): Elektro Luceat- November 2024
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v10i2.854

Abstract

The Computer Engineering program at UNISKA Kediri is a study program focused on information technology. Despite being an IT-based program, the process of determining Final Project a lecture is carried out through a coordination meeting mechanism with the lecturers. In this meeting, a lecture matched based on their expertise and the topic of the Final Project proposed by each student. This discussion process requires a significant amount of time, making student services less efficient in terms of time management. To address this issue, a decision support system is needed to help the program coordinator expedite the lecture assignment process without compromising the accuracy of matching lecturer expertise to the students Final Project topics. This research uses the MOORA method (Multi-Objective Optimization on the Basis of Ratio Analysis). This method effectively conducts multi-criteria selection by considering various factors. The results of this study, based on data from 10 trials using the MOORA method, showed an accuracy of 90%, meaning that students were assigned a lecture in line with their respective areas of interest.
Efektivitas Pelaksanaan Wakaf Tunai di NU-Care Lazisnu Daerah Istimewa Yogyakarta Dalam Mengentaskan Kemiskinan Anam, Syaiful
Qawanin: Jurnal of Economic Syaria Law Vol 8 No 1 (2024): June
Publisher : Fakultas Syariah IAIN Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/qaw.v8i1.428

Abstract

This research aims to provide an in-depth understanding of the effectiveness of cash waqf implementation at Nu-Care LazisNU Yogyakarta in alleviating poverty, according to the legal effectiveness theory proposed by Soerjono Soekanto. Conducted as field research with a sociological legal approach, the study reveals that, overall, the implementation of cash waqf at Nu-Care LazisNU Yogyakarta is ineffective in alleviating poverty. This ineffectiveness is attributed to various factors, including legal, law enforcement, infrastructure, societal, and cultural factors. Although Nu-Care LazisNU Yogyakarta has not fully optimized poverty alleviation, at least some of the mauqūf alaih who received capital loans from NU-Care LazisNU D.I.Y have managed to surpass the absolute poverty threshold, earning above 1.25 dollars per day or above the national and regional poverty lines. Penelitian ini bertujuan untuk memahami secara mendalam tentang efektivitas pelaksanaan wakaf tunai di Nu-Care LazisNU Yogyakarta dalam mengentaskan kemiskinan menurut teori efektivitas hukum yang dikemukakan oleh Soerjono Soekanto. Penelitian ini merupakan penelitian lapangan (field research) dengan pendekatan hukum sosiologis. Hasil penelitian ini menunjukkan bahwa secara umum pelaksanaan wakaf tunai di Nu-Care LazisNU Yogyakarta tidak efektif dalam mengentaskan kemiskinan. Hal ini diakibatkan oleh beberapa faktor yaitu faktor hukum, faktor penegak hukum, faktor sarana, faktor masyarakat, dan faktor budaya. Meskipun Nu-Care Lazisnu Yogyakarta belum sepenuhnya dapat mengoptimalkan pengentasan kemiskinan, setidaknya dari sebagian mauqūf alaih yang mendapat pinjaman modal dari NU-Care LazisNU D.I.Y telah mampu melampaui target ambang batas kemiskinan absolut dengan mendapatkan penghasilan di atas 1,25 dolar perhari atau di atas garis kemiskinan nasional dan daerah.
KEPEMIMPINAN SEKOLAH DI ERA DIGITAL: STUDI KUALITATIF STRATEGI KEPALA SEKOLAH DALAM MENGELOLA PERUBAHAN Anam, Syaiful; Habibi, Nur Syakherul; Firdaus, Sukma Umbara Tirta
MANAJERIAL : Jurnal Inovasi Manajemen dan Supervisi Pendidikan Vol. 5 No. 2 (2025)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia (P4I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/manajerial.v5i2.6579

Abstract

ABSTRACT Digital transformation in education demands a fundamental shift in the way schools are managed, particularly at the leadership level. Principals, as learning leaders, are required not only to understand technology but also to strategically manage organizational culture change. This study aims to uncover principals' leadership strategies in managing digital-based change at the junior high school level. The approach used was a qualitative interpretive approach with a multiple case study design, involving principals from public and private junior high schools in Pakong District, Pamekasan Regency, who have experience in digital transformation. Data collection techniques included in-depth interviews, limited observation, and documentation studies. Data analysis was conducted using the Miles and Huberman model, while validity was maintained through triangulation of sources and methods. The study's findings are divided into three main themes. First, the meaning of digital leadership is reflectively interpreted by principals as the ability to integrate technological vision with participatory leadership values. Second, the managerial strategies employed include strengthening teacher capacity, digitizing standard operating procedures (SOPs) and quality control, and optimizing digital communication platforms. Third, the main challenges faced are teacher resistance, infrastructure inequality, and resource limitations, but these are offset by innovative solutions and local best practices. This study provides theoretical contributions to the development of a locally context-based digital leadership model, as well as practical implications for policymakers designing programs to improve the capacity of school principals to manage change in the digital era. ABSTRAK Transformasi digital dalam pendidikan menuntut pergeseran mendasar dalam cara sekolah dikelola, khususnya pada level kepemimpinan. Kepala sekolah sebagai pemimpin pembelajaran dituntut tidak hanya mampu memahami teknologi, tetapi juga mengelola perubahan budaya organisasi secara strategis. Penelitian ini bertujuan untuk mengungkap strategi kepemimpinan kepala sekolah dalam mengelola perubahan berbasis digital di tingkat sekolah menengah pertama. Pendekatan yang digunakan adalah kualitatif interpretatif dengan desain studi kasus multipel, melibatkan kepala sekolah dari SMP negeri dan swasta di Kecamatan Pakong, Kabupaten Pamekasan, yang telah memiliki pengalaman dalam transformasi digital. Teknik pengumpulan data mencakup wawancara mendalam, observasi terbatas, dan studi dokumentasi. Analisis data dilakukan dengan model Miles dan Huberman, sedangkan validitas dijaga melalui triangulasi sumber dan metode. Temuan studi ini terbagi dalam tiga tema utama. Pertama, makna kepemimpinan digital dimaknai secara reflektif oleh kepala sekolah sebagai kemampuan mengintegrasikan visi teknologi dengan nilai-nilai kepemimpinan partisipatif. Kedua, strategi manajerial yang digunakan meliputi penguatan kapasitas guru, digitalisasi SOP dan kontrol mutu, serta optimalisasi platform komunikasi digital. Ketiga, tantangan utama yang dihadapi adalah resistensi guru, ketimpangan infrastruktur, dan keterbatasan sumber daya, namun diimbangi oleh solusi inovatif dan praktik baik lokal. Studi ini memberikan kontribusi teoritis pada pengembangan model kepemimpinan digital berbasis konteks lokal, serta implikasi praktis bagi pengambil kebijakan untuk merancang program peningkatan kapasitas kepala sekolah dalam mengelola perubahan di era digital.
Combination of Extreme Learning Machine and Binary Bat Algorithm for Customer Churn Prediction Arifin, Arifin; Anam, Syaiful; Marsudi, Marsudi
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 1 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i1.31815

Abstract

AbstractOne of the important assets in a company is customers. Customers determine the company's stability because they are source of income and determine the company's competitiveness. It shows the importance of predicting which customers have the potential to switch to another company. These predictions can be done using Machine Learning (ML). One of ML methods is the Extreme Learning Machine (ELM). The advantages of ELM compared to other methods are fast computing time, ease of use, and can reach a global optimum. However, ELM has weaknesses when solving problems with high-dimensional datasets, so feature selection is required. The Binary Bat Algorithm (BBA) is a swarm intelligence method that can be used to optimize ELM performance. The advantages of BBA compared to other are few parameters and much better in effectiveness or accuracy. This research was carried out with preprocessing data, training data and testing data. The research results showed that ELM-BBA is better than ELM and ELM-Binary Particle Swarm Optimization (BPSO) in evaluation metric values. However, ELM-BBA tended to be slower than ELM-BPSO. The best results on evaluation metrics achieved by ELM-BBA were 0.97, 0.97, 0.96, and 0.97 in accuracy, precision, recall, and F1 score, respectively.
KFCM-PSOTD : An Imputation Technique for Missing Values in Incomplete Data Classification Ilyas, Muhaimin; Anam, Syaiful; Trisilowati, Trisilowati
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 9, No 1 (2024): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v9i1.25138

Abstract

Data mining is a very important process for finding out the data interpretation. Data preprocessing is the crucial data mining steps. The existence of missing values in the data is one of the primary issues with data preprocessing. Generally, this can be overcome with mean or median imputation because they are easy to implement. However, the use of these techniques is not recommended because they ignore the data variance. This research develops the Kernel Fuzzy C-Means Optimized by the Particle Swarm Optimizer with Two Differential Mutations (KFCM-PSOTD).  KFCM imputation is applied to obtain better estimation values due to its proven ability to recognize patterns in the data. In addition, the PSOTD algorithm is used as an optimization tool to boost the KFCM's performance. PSOTD is adopted because it has more balanced exploration and exploitation capabilities compared to classical PSO. Datasets that have been imputed on KFCM-PSOTD are classified using the Decision Tree algorithm. The results are evaluated using accuracy, precision, recall, and f1 score to determine the quality of the imputed values. The outcomes demonstrate that the KFCM-PSOTD algorithm has a better performance; even the difference in evaluation scores obtained reaches 10% better than other imputation techniques. 
Implementation of Islamic Religious Education in Higher Education Anam, Syaiful; Robbaniyah, Qiyadah; Lina, Roidah; Widiyanto, Widiyanto
Edukasi Islami: Jurnal Pendidikan Islam Vol. 12 No. 04 (2023): Edukasi Islami: Jurnal Pendidikan Islam
Publisher : Sekolah Tinggi Agama Islam Al Hidayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30868/ei.v12i04.5108

Abstract

The purpose of this study was to determine the Implementation of Islamic Religious Education in tertiary institutions, with the object of research in tertiary institutions under Majlis Atturot Al-islamy Foundation. Qualitative research methods with the type of field research, data collection by interviews, observation and documentation. Data analysis with triangulation. The result of this research is that reviving religious culture among lecturers and staff in tertiary institutions can be an important effort to develop positive religious, moral and ethical values in the academic environment. Some of the religious cultures that are built in tertiary institutions are, Ikhlash, responsible, disciplined, and trustworthy in carrying out tasks, appearance, simple and in accordance with Shari'at guidelines, have noble character and can be role models for their students in speaking, behaving and behave, maintain and establish brotherhood between ustadz, prioritize husnudzhon attitudes, improve and develop scientific quality, maintain and implement Islamic law, guard speech, must participate in activities set by the institution, be fair and wise in imposing sanctions on students. obey the leadership and institutional regulations as long as they do not conflict with the Shari'a.The programs that are running are: studying the Koran, weekly studies,  wearing sharia clothes.
PELATIHAN PEMBUATAN KOMIK DIGITAL MENGGUNAKAN PIXTON APP DI SMK AL-ITTIHAD OKU TIMUR Pratami, Fisnia; Devita Sari, Nindy; Anam, Syaiful; Akhodiyah, Sulistina; Rosulana, Ahmad
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 5 (2024): Vol. 5 No. 5 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i5.33731

Abstract

Pelatihan pembuatan komik digital menggunakan aplikasi Pixton di SMK Al-Ittihad bertujuan untuk meningkatkan keterampilan digital dan kreativitas siswa dalam menyampaikan ide dan cerita melalui media visual. Di era teknologi yang terus berkembang, pemanfaatan aplikasi digital dalam pendidikan menjadi semakin penting. Pixton, sebuah aplikasi pembuat komik digital, menawarkan fitur-fitur yang mudah digunakan dan interaktif, sehingga cocok untuk diaplikasikan dalam lingkungan pendidikan. Pelatihan ini dirancang untuk memberikan pemahaman dasar tentang komik digital, pengenalan aplikasi Pixton, serta teknik-teknik dasar dalam mendesain komik. Metode Pelatihan meliputi presentasi materi, diskusi interaktif, dan praktik langsung menggunakan Pixton. Peserta pelatihan terdiri dari siswa kelas X dan XI SMK. Siswa diberikan kesempatan untuk merancang dan membuat komik digital mereka sendiri. Hasil dari pelatihan siswa bisa menggunakan teknologi untuk tujuan kreatif, mengembangkan keterampilan dalam bercerita secara visual, dan memperkaya metode pembelajaran di SMK Al-Ittihad. Dengan keterampilan baru ini siswa mampu menghasilkan e-komik. Melalui pendampingan ini siswa mampu menghadapi tantangan di era digital dan memiliki alat tambahan untuk mengekspresikan ide-ide mereka secara kreatif.
PENGARUH PENGGUNAAN MEDIA PEMBELAJARAN LEMBAR KERJA MANDIRI (LKM) TERHADAP KEMAMPUAN MENULIS PUISI SISWA KELAS 8A DI SMP NEGERI 2 BELITANG JAYA OKU TIMUR Suryani, Suryani; Anam, Syaiful; Sundari, Sundari; Siska, Siska
Linguistik : Jurnal Bahasa dan Sastra Vol 9, No 1 (2024): LINGUISTIK: Jurnal Bahasa dan Sastra
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/linguistik.v9i1.154-164

Abstract

Penelitian ini bertujuan mengetahui pengaruh penggunaan media pembelajaran Lembar Kerja Mandiri (LKM) terhadap kemampuan menulis puisi siswa kelas 8A di SMP Negeri 2 Belitang Jaya OKU Timur. Penelitian dilakukan menggunakan ancangan kuantitatif. populasi dalam penelitian ini adalah siswa SMP Negeri 02 Belitang Jaya kelas VIII sebanyak 2 kelas dengan jumlah siswa 53 orang. Penelitian dilakukan pada siswa kelas VIIIa, dari dua kelas, satu yang di jadikan sampel. Berdasarkan kajian yang dilakukan, dapat disimpulkan bahwa Penggunaan keterampilan menulis puisi menggunakan lembar kerja mandiri (LKM) memberikan dampak yang positif sebesar 25% bagi peserta didik lebih aktif dalam proses belajar. Dengan demikian, dalam hal ini dapat disimpulkan bahwa H0 ditolak dan H1 diterima.
New perspective in enhancing Papanicolaou-smear image using CLAHE and spider monkey optimization Khozaimi, Ach; Muharini Kusumawinahyu, Wuryansari; Darti, Isnani; Anam, Syaiful; Nahdhiyah, Ulfatun
Bulletin of Electrical Engineering and Informatics Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i6.10250

Abstract

High-quality Papanicolaou (Pap) smear images are essential for reliable early detection of cervical cancer, yet low contrast and noise often hinder accurate interpretation. This study introduces spider monkey optimization (SMO)-contrast-limited adaptive histogram equalization (CLAHE), an optimized CLAHE framework guided by the SMO algorithm. A novel signal contrast (SC) objective function is proposed, combining perceptual enhancement contrast enhancement-based image quality (CEIQ) with fidelity preservation peak signal-to-noise ratio (PSNR) to adaptively tune CLAHE parameters. Experiments on the publicly available SIPaKMeD and Mendeley LBC datasets demonstrate that SMO-CLAHE consistently outperforms manual settings and flower pollination algorithm (FPA)-based optimization, and achieves performance comparable to pelican optimization algorithm (POA) across key quality metrics including entropy, structural similarity index (SSIM), PSNR, enhancement measure estimation (EME), root mean square contrast (RMSC), standard deviation (STD-DEV), and CEIQ. Furthermore, downstream evaluation using a MobileNetV3-S classifier shows that the enhanced images lead to improved cervical cancer classification performance. These results highlight SMO-CLAHE as a robust and clinically relevant preprocessing framework, offering a new perspective for Pap smear image enhancement and diagnostic support.
HETEROGENEOUS GRAPH NEURAL NETWORKS FOR STOCK PRICE PREDICTION: MODELING TEMPORAL AND CROSS-STOCK DEPENDENCIES Bukhori, Hilmi Aziz; Aruchunan, Elayaraja; Anam, Syaiful; Bukhori, Saiful; Maulana, Avin
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 2 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss2pp0981-1000

Abstract

Stock price prediction remains a challenging task due to the complex interplay of temporal trends and relational dependencies within financial markets. This study proposes the GNN-LSTM Hybrid model, a novel framework that integrates Graph Neural Networks (GNNs) with Long Short-Term Memory (LSTM) units to simultaneously capture heterogeneous graph structures and temporal dynamics in stock data, leveraging GNNs to model relational dependencies and LSTMs to address long-term temporal patterns, with graph construction based on stock correlation and temporal edge features. Using a dataset covering 1,270 trading days from March 2015 to April 2020, we evaluate the model against traditional methods (ARIMA, LSTM) and modern graph-based approaches (T-GCN, GAT, Transformer-TS, Base GraphSAGE, SAGE-IS). The GNN-LSTM Hybrid achieves superior performance, with a Mean Absolute Error (MAE) of 0.740 (±0.13), Root Mean Squared Error (RMSE) of 1.100 (±0.21), Mean Absolute Percentage Error (MAPE) of 4.92% (±1.16), and Directional Accuracy (DA) of 67.0% (±2.7), and significantly outperforms all baselines, as confirmed by paired t-tests (p < 0.05). Hyperparameter analysis reveals that a configuration of 6 GNN layers and a hidden dimension size of 128 optimizes predictive accuracy, balancing computational efficiency (training time: 16.0 ± 0.7 s) and performance. Validation across 100 training epochs further confirms the model’s robust convergence across all metrics. With an inference time of 20.0 ± 1.0 ms, which is competitive compared to baselines like ARIMA (23.5 ± 1.1 ms) and GAT (20.5 ± 1.0 ms), the GNN-LSTM Hybrid demonstrates strong potential for practical financial forecasting, offering a scalable and accurate solution for capturing the multifaceted dynamics of stock markets, with implications for real-time applications and broader economic modeling.
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 AFRIZON AFRIZON, AFRIZON Agus Suryanto Ahmad Afif Supianto Aji, Kurniawan Akhmad Khumaidi Akhodiyah, Sulistina Alfian Hidayat Alifiobono, Adeva Amalia Amar, Siti Salama Anam, Afdolul Andreas Andriani , Fitri ani ani Ardiyansa, Safrizal Ardana Arif Usman Arifin Arifin Aris Munandar Aruchunan, Elayaraja Asyidiqi, Hasbi Asyrofa Rahmi, Asyrofa Ayu Dwi Lestari, Cynthia Ayudaning D , Pamungkas Aziz Bukhori, Hilmi Baehaqi bahresy, fiqqi assidieq Bukhori, Hilmi Aziz Bustamin, Syamsumar Choa, Yeshua Austin Harvey Daniel, Joseph Robert Deny Tisna Amijaya, Fidia Devita Sari, Nindy Dian Eka Ratnawati Dian Sisinggih Dian Sisingih, Dian Dwi Mifta Mahanani, Dwi Mifta Dwi Ratnasari 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 Handriyono Hasbullah Hasbullah Hdayat, Alfian Helen Yuliana Angmalisang Husni , Valencia Ikhwanudin, Tedy Ilyas, Muhaimin Imam Nurhadi Purwanto Indah Yanti Irma Noervadila Isnani Darti Jayanti, Luh Putu Dharma Judijanto, Loso Julianto, Eric Jumadi Jumadi Kabul Wahyu Utomo 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 Mar'atun, Chairanil Mardialina, Mala Marsudi Marsudi Marsum Marsum Maulana, Avin Maulana, M. Idam Maulana, Zacki Ibnu Maulida, Ghina Rahmah Miftahus Surur, Miftahus Mila Kurniawaty Muhammad Rivai Muharini Kusumawinahyu, Wuryansari Muhtashor, Imam Munir, Ahmad Mubarak 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 Romadhon, Wahyu Rizky 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 Sukowati, Laila 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