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All Journal TEKNIK INFORMATIKA Interaksi : Jurnal Ilmu Komunikasi Jurnal Pendidikan Matematika Undiksha Jurnal Akuntansi AKUNESA Jurnal Pendidikan Teknik Mesin Jurnal Simetris MUQTASID Jurnal Teknologi Informasi dan Ilmu Komputer InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi Journal of Medives JOIV : International Journal on Informatics Visualization INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Pendas : Jurnah Ilmiah Pendidikan Dasar Applied Information System and Management Jurnal Pengabdian Masyarakat AbdiMas Zeta - Math Journal JURNAL PENDIDIKAN TAMBUSAI AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM JURTEKSI Jurnal Review Pendidikan dan Pengajaran (JRPP) Journal of Information Systems and Informatics alfazuna: Jurnal Pembelajaran Bahasa Arab dan Kebahasaaraban Jambura Journal of Electrical and Electronics Engineering JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Abdi: Media Pengabdian Kepada Masyarakat Jurnal Abdi Insani Sakina: Journal of Family Studies Jurnal Aisyah : Jurnal Ilmu Kesehatan Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Perangkat Lunak Optika : Jurnal Pendidikan Fisika 'A Jamiy: Jurnal Bahasa dan Sastra Arab JIHAD : Jurnal Ilmu Hukum dan Administrasi International Journal of Engineering, Science and Information Technology Muqaranah Jurnal Manajemen Agribisnis dan Agroindustri Edukasiana: Jurnal Inovasi Pendidikan Journal of Health, Education, Economics, Science, and Technology (J-HEST) JUSIFOR : Jurnal Sistem Informasi dan Informatika Journal of Educational Management Research Journal of Community Service (JCOS) Jurnal Edukasi NERO (Networking Engineering Research Operation) Media Hukum Indonesia (MHI) KONTAN: Jurnal Ekonomi, Manajemen dan Bisnis The Journal of Religion and Communication Studies Multidisciplinary Indonesian Center Journal Prosiding Pengabdian Ekonomi dan Keuangan Syariah Efada : Jurnal Pengabdian Masyarakat SEVA OPTIMA ILJ: Islamic Learning Journal HUNILA : Jurnal Ilmu Hukum dan Integrasi Peradilan Jurnal Wicara Desa ELLITE: Journal of English Language, Literature, and Teaching Cendekia: Jurnal Pengembangan Kurikulum dan Pendidikan
Qurrotul Aini
Program Studi Sistem Informasi, Fakultas Sains Dan Teknologi, Universitas Islam Negeri Syarif Hidayatullah
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Challenges and Opportunities for Women Fishermen in Pamekasan: Gender Aspects in Family Resource Management Aini, Qurrotul
Sakina: Journal of Family Studies Vol 9 No 2 (2025): Sakina: Journal of Family Studies
Publisher : Islamic Family Law Study Program, Sharia Faculty, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jfs.v9i2.15530

Abstract

This study aims to analyze the role of women fishermen in Pamekasan in managing family resources and the challenges they face in carrying out these roles. This study uses a qualitative method with in-depth interviews with women fishermen in Pamekasan who were selected purposively and analyzed using a gender analysis approach developed by Caroline O.N. Moser, which divides women's roles into three dimensions: productive, reproductive, and socio-community. The results of the study indicate that women fishermen play a significant role in managing family resources. In the productive dimension, they are involved in managing marine catches and side businesses, such as making salted fish or fish crackers. In the reproductive dimension, despite the large domestic burden, they are able to integrate household tasks with economic activities, maintaining family harmony. In the socio-community dimension, although more supportive, their involvement strengthens the solidarity of the fishing community. However, major challenges related to gender inequality hinder their dual roles. Women fishermen are often hampered by a lack of access to capital, training, and technology that increases business capacity. The heavy burden of domestic work limits the time and energy to develop economic capacity. Inequality in the division of domestic tasks worsens their emotional and mental well-being. On the socio-community side, despite their activeness, women are often isolated from wider social networks, with their social roles under-recognized. This study suggests more comprehensive empowerment measures to address these inequalities, including access to capital, training, and wider social networks.
Implementation Of Convolutional Neural Network Algorithm For Tobacco Pest Detection Tamam, Moh Badri; Chafid, Nurul; Hozairi, Hozairi; Aini, Qurrotul; Santoso, Teguh Budi; Kurniawan, Wawan; Kuzairi, Kuzairi
NERO (Networking Engineering Research Operation) Vol 10, No 1 (2025): Nero - 2025
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v10i1.30044

Abstract

Agriculture plays a vital role in increasing Gross Domestic Product (GDP), providing employment, contributing to foreign exchange earnings, and supporting environmental conservation. Indonesia has great potential as an agricultural country where population majority relies on agricultural sector for their livelihood. Pamekasan Regency is center of tobacco production development in East Java, with a tobacco plantation area of over 30,000 hectares. However, pest attacks such as caterpillars often damage tobacco plants, reducing productivity and leaf quality. This study implemented AI technology, specifically Convolutional Neural Networks (CNN), to detect caterpillar pests in tobacco plants in Pamekasan. The main focus is on AI development in computer vision using deep learning techniques. The CNN training process involves several stages: convolution, ReLU layers, subsampling/pooling layers, and fully connected layers. The test scenario was conducted by dividing data by 85% training, 10% validation, and 5% testing, as well as tuning parameters for the learning rate and epochs. The model achieved a maximum accuracy of 85% without overfitting at a learning rate of 0.001 and epochs 15. This demonstrates that the CNN deep learning method can effectively identify disease features in tobacco plants. The application of this technology can increase productivity and efficiency in the agricultural sector, supporting a sustainable economy and ecology.Keywords: convolutional neural network, image detection, tobacco pest.
Analisis Yuridis Keterbatasan Penegakan Hukum Terhadap Kejahatan Perdagangan Manusia Transnasional (Studi Kasus Human Traffic di Kamboja) L, Lazarus; Hidayat, Muhammad Rahmadzani; Aini, Qurrotul; Zahra, Raisya Syafira
Media Hukum Indonesia (MHI) Vol 4, No 1 (2026): March
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17877461

Abstract

This study conducts a juridical analysis of the limitations in law enforcement against transnational human trafficking (TPPO), focusing on the case study of Indonesian citizens (WNI) exploited in Cambodia through online fraud schemes (scam compounds). Although both Indonesia and Cambodia are bound by international (UNTOC, Palermo Protocol) and regional (ACTIP, MLAT) legal instruments, the effectiveness of cross-border cooperation remains far from optimal. The research identifies major obstacles stemming from inconsistencies in the legal definitions of TPPO and standards of proof, weak mechanisms for extradition and Mutual Legal Assistance (MLA), and inadequate information exchange. Specifically in Cambodia, enforcement is hampered by the inconsistent application of the 2008 TSE Law, insufficient victim protection, and high levels of structural corruption. Using a normative juridical approach, this study concludes that human trafficking, as an extraordinary crime, cannot be addressed unilaterally. It requires strengthened and integrated international cooperation including the optimization of MLA, extradition, the formation of Joint Investigation Teams (JITs), and the harmonization of regulations at the ASEAN level to close legal loopholes and enhance the justice response. Recommendations include improving the capacity of investigators, standardizing TPPO definitions, and establishing comprehensive victim protection mechanisms.
Implementing Total Quality Management (TQM) to Enhance the Quality of Islamic Education: A Library Research Study Aini, Qurrotul; Julaiha , Siti
Journal of Educational Management Research Vol. 4 No. 4 (2025)
Publisher : Al-Qalam Institue

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/jemr.v4i4.1553

Abstract

This study aims to analyze the implementation of Total Quality Management (TQM) to enhance the quality of Islamic Education using a library research approach. By reviewing accredited journals, books, proceedings, and relevant documents, TQM is explored as a strategic approach to improving Islamic Education effectiveness through principles of continuous improvement, customer focus (students), process strengthening, and human resource empowerment. The findings indicate that TQM implementation positively impacts the quality of Islamic Education, teacher professionalism, classroom management, and the development of students' religious character. The study also identifies supporting factors such as Leadership commitment, a quality culture, and data-driven evaluation systems. At the same time, challenges include a limited understanding of TQM concepts and the lack of measurable quality standards for Islamic Education. Literature synthesis emphasizes that integrating TQM into Islamic Education has significant potential to comprehensively enhance Islamic education when applied consistently, collaboratively, and contextually. This research is expected to serve as a conceptual reference for educational institutions in developing TQM-based quality strategies for Islamic Education.
Economic Impact due Covid-19 Pandemic: Sentiment Analysis on Twitter Using Naïve Bayes Classifier and Support Vector Machine Aini, Qurrotul; Fauzi, Raffie Rizky; Khudzaeva, Eva
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.1474

Abstract

Covid-19 is an outbreak caused by severe acute respiratory syndrome. Covid-19 first appeared in Indonesia on March 2, 2020, with two confirmed cases and increased to 1285 cases in 30 provinces. One of the impacts of the Covid-19 pandemic is on the economic aspect, which has experienced a drastic decline in income. This study aims to classify public opinion to determine the level of public sentiment on the economic impact of the Covid-19 pandemic and to identify parameters that influence the accuracy of the sentiment analysis classification model. The methods used in this current research are Lexicon, Support Vector Machine (SVM), and Naive Bayes Classifier (NBC). First, Lexicon is used for scoring and labeling the preprocessed data. Second, SVM is used to classify the sentiment, then find the best accuracy using linear, radial, polynomial, and sigmoid kernels. Third, NBC is used to classify sentiment as a comparison method. The results indicated that 255 tweet data consisted of 44 positive tweets (17.25%), 46 neutral tweets (18.04%), and 165 negative tweets (64.71%). Therefore, it can be inferred that the economic impact on the Indonesian people due to the Covid-19 pandemic has a high negative sentiment value. In the performance, SVM yielded a better accuracy of 100%, precision, recall, and F-measure are 1. This study proves that selecting the kernel type and applying underfitting can improve the accuracy of SVM. Also, SVM can perform well on a small amount of training data.
Evaluation of Supply Chain Management Performance at MSMEs using the SCOR Method Ramadheena, Felia Anjani; Zhafari, Muhammad; Aini, Qurrotul
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 4 No 2 (2020): August 2020
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (377.465 KB) | DOI: 10.29407/intensif.v4i2.13993

Abstract

The development of the industrial world that accelerates the growth of competition between businesses. It causes the need for activities or efforts to increase the selling power of the company or organization. One of them is by evaluating the level of performance in the supply chain at SME Tosuka Coffee. It is done to determine the level of current business conditions and to know what elements have good potential in business development and what components need to be improved. This evaluation uses the SCOR method in assessing supply chain performance. The assessment with SCOR is based on Tosuka's current condition. The results of this study state that the final value of the SCOR calculation yields a figure of 86.24, which means that Tosuka Coffee's business is at a good level, especially in the Plan process that receives the highest value with Responsiveness dimension and is followed by the Return process with the Reliability dimension. However, Tosuka Coffee is recommended to make performance improvements in the Make, Source, and Deliver processes because it produces a relatively low value. With the evaluation, it is expected that Tosuka Coffee can improve supply chain performance in the future.
Pelatihan Mind Mapping sebagai Media Pelatihan Pengembangan Berpikir Kritis Siswa Mts Nurul Wafa FR, M. Kurma Nur; Arifin, Samsul; Munir, M.; Aini, Qurrotul
Efada : Jurnal Pengabdian Masyarakat Vol 2 No 02 (2025): November
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - STAI Ali bin Abi Thalib Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54214/efada.Vol2.Iss02.943

Abstract

Pelatihan mind mapping di MTs Nurul Wafa dilaksanakan sebagai upaya untuk meningkatkan kemampuan berpikir kritis, pemahaman materi, dan motivasi belajar siswa yang sebelumnya masih rendah akibat dominasi metode ceramah dan kurangnya variasi strategi pembelajaran. Kegiatan ini menggunakan pendekatan kualitatif deskriptif dengan model partisipatif melalui serangkaian sesi mulai dari sosialisasi, pelatihan dasar, praktik pembuatan mind map, simulasi pembelajaran, hingga evaluasi. Hasil pelatihan menunjukkan bahwa siswa mengalami peningkatan signifikan dalam memahami konsep keagamaan seperti akidah, fiqih, akhlak, serta kandungan ayat dan hadis melalui visualisasi konsep yang lebih terstruktur. Penyusunan informasi dalam bentuk peta pikiran membuat siswa lebih mudah mengingat, menghubungkan konsep, serta memahami hubungan antardalil dengan penerapan nilai Islam dalam kehidupan sehari-hari. Selain itu, penggunaan warna, simbol, dan gambar tematik Islami mendorong siswa lebih terlibat aktif, kreatif, dan antusias selama proses belajar. Guru juga merasakan manfaat pelatihan dalam memperkaya metode mengajar sehingga proses pembelajaran menjadi lebih variatif, interaktif, dan sesuai dengan karakteristik siswa. Secara keseluruhan, pelatihan mind mapping terbukti efektif sebagai strategi pembelajaran inovatif untuk meningkatkan pemahaman materi, retensi informasi, motivasi belajar, dan kemampuan berpikir kritis siswa di MTs Nurul Wafa, sehingga layak dikembangkan sebagai model pembelajaran berkelanjutan.
Bibliometrik Hate Speech: Tren Metode Penelitian dan Domain Implementasi Nurindah, Arrisa Aprilani; Hasanati, Nida'ul; Aini, Qurrotul
JUSIFOR : Jurnal Sistem Informasi dan Informatika Vol 4 No 2 (2025): JUSIFOR - Desember 2025
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/jusifor.v4i2.8652

Abstract

This study aims to map the development of research related to hate speech through a bibliometric analysis of scientific publications indexed in Scopus. Using the keywords “hate speech” and “analysis,” a total of 2,009 publication metadata were obtained and analyzed using R Studio, Biblioshiny, and VOSviewer. The results indicate a significant increase in the number of publications, particularly during the 2021–2024 period, reflecting the growing academic attention toward hate speech issues. Domain analysis reveals that research is predominantly focused on the fields of Technology and Social Sciences, especially in the context of automated detection, social media, and the impact of digital society. Deep learning–based methods such as BERT and LSTM are the most frequently used techniques, in line with recent trends in Natural Language Processing (NLP). Furthermore, the co-occurrence analysis reveals the formation of several thematic clusters, including artificial intelligence, deep learning, multilingual hate speech, and large language models.
House Price Prediction using the Random Forest Regression Algorithm Balqis, Fika Halimah; Aini, Qurrotul
SISTEMASI Vol 15, No 2 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i2.5726

Abstract

House price prediction is a complex problem because it is influenced by various factors such as building quality, location, and living area size. As a result, conventional methods often lack accuracy in estimating housing prices. This study aims to apply the Random Forest Regression (RFR) algorithm to predict house prices using the House Prices – Advanced Regression Techniques dataset from Kaggle, which contains 1,460 property records. The SEMMA (Sample, Explore, Modify, Model, Assess) methodology was adopted due to its systematic workflow and structured focus, which improves the reliability of the developed model. In the modeling stage, RFR was implemented because it is capable of handling non-linear patterns and maintains stable performance even with a large number of features. Based on the evaluation results, the model achieved a Root Mean Squared Error (RMSE) of 28,452.75 and a coefficient of determination (R²) of 89%. This was followed by a robustness test with an RMSE of 30,665.40, indicating the stability of the model. Feature importance analysis also revealed that OverallQual had the greatest influence on house price prediction. These findings confirm that Random Forest Regression is a reliable method for predicting house prices and has strong potential to be further developed for price recommendation systems, automated property valuation, and integration into digital platforms within the real estate industry.
Representation of tawhid values in the WhatsApp channel 'daily islamic' Mohammad Ali Danial; Nurrohmah, Aulia; Aini, Qurrotul
The Journal of Religion and Communication Studies Vol. 3 No. 1: (February) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/jorcs.v3i1.2026.2685

Abstract

Background: The development of social media has changed the landscape of Islamic preaching from physical spaces to more interactive and dynamic digital spaces. This phenomenon presents opportunities for strengthening Islamic spirituality, particularly the values of tawhid, through media that are close to the lives of the younger generation. However, studies on the representation of tawhid values in digital preaching, especially on instant messaging platforms such as WhatsApp, are still rare. This study aims to analyze how the Daily Islamic channel represents tauhid messages in its da'wah content, as well as how the style of delivery and audience reactions contribute to strengthening spiritual meaning in the context of modern life. Methods: This study uses a qualitative approach with content analysis and online observation methods. Data was obtained purposively from Daily Islamic posts during the period of September to October 2025, which contained text messages, reflective quotes, and Islamic visuals relevant to the value of tawhid. All data were documented in the form of screenshots and analyzed inductively through the three main dimensions of tauhid, namely rubūbiyyah, ulūhiyyah, and asmā’ wa ṣifāt. The analysis was carried out by examining the message structure, diction, style of language, and audience responses to interpret the theological and spiritual meanings that emerged. Findings: The Daily Islamic channel presents a representation of tawhid that is not only theoretical but also practical through messages about gratitude, patience, trust in God, and prayer. These messages are communicated in a warm, reflective, and empathetic style that awakens the spiritual awareness of the audience to connect every event in life with God's plan. The positive reaction of the audience shows that an empathetic communicative approach is able to bridge theological values with the emotional needs of the digital generation. Conclusion: Digital da'wah through the Daily Islamic channel serves as a medium for shaping contextual and inspirational awareness of tawhid, presenting Islamic spirituality that is close to the psychological reality of modern society. Novelty/Originality of this article: This study offers a new perspective on digital da'wah based on the values of tawhid by focusing its analysis on religious messages on the WhatsApp platform, a communication space that is rarely studied but has great potential in shaping the spirituality of the younger generation.
Co-Authors A, Oky Yudi Aang Subiyakto Abdul Basith Adelia, Djurmia Putri Ratu Adhiazni, Viranda Aditya Prayoga, Muhammad Adya, Rahel Saffana Afifi, Wakhid Afkarina, Naura AGUS PRASTYO Aida Fitriyani, Aida Ainun, Muh Akbar, Muhamad Aria Torik Akbar, Sohibul Alfajri, Muhamad Fitra Amin, Fadli Amri Gunasti Andika Adinanda Siswoyo Anggraeni, Dini Sri Anggun Nadila, Fuji Anton Nasrullah, Anton Antoni, Fauzi Anwar, Anita Rosana Arbi, Ramadana Aries Susanto Ariffien, Afferdhy Armini, Armini Asan, Nassuha Astati, Husna Aufa Harman, Carlen Aulia, Meidina Azizah, Nur Jannah Bagus, Wahyu Baharun, Hasan Balqis, Fika Halimah Budiyanto, Moh. Caesarani, Sarah Chafid, Nurul Dini Sri Anggraeni Djamali, Abdoel Dyah Riandadari Elsy Rahajeng, Elsy Elvi Fetrina Eri Rustamaji Eva Khudzaeva Eva Khudzaeva Fadila, Wildan Adi Fajar, Ainul Fatun Fauzi, Raffie Rizky Fenty Eka Muzayyana Agustin Fifto Nugroho Firdaus, Ahmad Yusuf FR, M. Kurma Nur Gafur, A. Ghufriani, Deliana Rinasari Giri Wahyu Wiriasto Haikal, M. Fikri Hammad, Jehad Handayani, Ayudina Handayani, Sri Harsiwi, Nova Estu Hasanati, Nida'ul Hidayat, Muhammad Rahmadzani Hisyam Zaini Hozairi Huda, Muhammad Qomarul I Gusti Nyoman Yudi Hartawan I Wayan Puja Astawa Icha Yulian Indriana, Siti Indriyani, Siska Inzah, M. Irjii Matdoan, Moh. Rahmat Jannah, A'la Faradisil Jannah, Ana Naimatul Januardo, Bryan Julaiha , Siti Jumhana, Enjum Karim, M. Ainul Kustiana Arisanti Kuzairi L, Adinda Fitriyah L, Lazarus Lailatul Nuraini Lailiyah, Nurul Lamsir, Seno Lestari, Dewi Titin Ludfi, Ludfi M, Novidayanti. M. Munir Mahbubi, Mahbubi Malik, Amalia Manurung, Citra Bintang Maranatha Masruroh, Nikmatul Masruroh, Roifatul Meinarini Catur Utami Mira Marlina Moh. Badri Tamam Mohammad Ali Danial Muhammad Faris, Muhammad Muhammad Firmansyah, Muhammad Muhammad Luthfi Muhammad Rivai Muhammad, Fadly Hakim Muhklis, Muhklis Mulyadi M, Mulyadi Muslipah, Muslipah Mustarani, Anis Mu’at, Mu’at Nabilah, Nadiah Yusfi Nadia Nadia Nadiva Alivia, Baiq Nashikha, Ainun Nasrullah, Ahmat Nastiti, Dhiya'an Ramadhanty Nur Aeni Hidayah Nur Cholis Nurindah, Arrisa Aprilani Nurrohmah, Aulia Nurul Imamah Nuryakin, Nuryakin Oyong Lisa Perdana, Aditia Angga Pinasti, Putri Pitri, Ira Wanda Rahyuni Pradana, Sandi Yoga Prasiwiningrum, Elyandri Pratama Arifin, Sergio Pratama, Hamzah Aji Pratiwi, Amelya Indah Putri, Faradillah Nur Syafa'ah Putu Doddy Heka Ardana Rahmat Rahmat Ramadhan, Rere Kurnia Ramadheena, Felia Anjani Rasna, Rasna Rinda Hesti Kusumaningtyas, Rinda Hesti Rozi, Fathor S, Raja Eko Dwi Safitri, Mella Samsul Arifin Santoso, Teguh Budi Sari , Putri Puspita Sari Saputri, Maduratna Sari, Mutiara Novita Sa’adah, Wardhatus Shofi, Imam Marzuki Sihombing, Oremia Exilla Rafelina Siti Maisaroh Soraya, Alvia Subiyakto, A'ang Surusa, Frengki Sutisna, S.E., M.E Syopiansyah Jaya Putra Tahir, Muhlis Tetrya, Selvi Thahara, Yopi Thwe, Yamin Tiohandra, Mufadha Tony Yulianto Tsauri, Muhammad Shofian Umi Muawanah Wahyudi, Farhan Arif Wawan Kurniawan Wicaksono Hermawan, Tegar Winarin, Winarin Winata, Henry Wulandari, Arvita Indah Yahya, Helmi Yasin Mohamad Yudhanta, Satya Yulian, Icha Zahra, Raisya Syafira Zainab, Sitti Zainul Arham Zawawi Imron Zein, Aldiki Farhan Zhafari, Muhammad Zulfiandri Zulfiandri Zuliani, Siti