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All Journal Jurnal Akuntansi & Auditing Indonesia Jurnal Paradigma Ekonomika NOTARIUS POSITRON Jurnal Teknologi Jurnal Konstruksia JURNAL PENDIDIKAN EKONOMI: Jurnal Ilmiah Ilmu Pendidikan, Ilmu Ekonomi dan Ilmu Sosial Ikonomika : Jurnal Ekonomi dan Bisnis Islam Forum Ekonomi : Jurnal Ekonomi, Manajemen dan Akuntansi JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL SERAMBI ILMU Jurnal Pertanian Agros Iseedu: Journal of Islamic Educational Thoughts and Practices Jurnal Infomedia JURIS (Jurnal Ilmiah Syariah) Journal of Humanities and Social Studies MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Jurnal Dedikasi Pendidikan Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Jurnal Studi Guru dan Pembelajaran Pena Justisia: Media Komunikasi dan Kajian Hukum JURNAL PERIKANAN TROPIS Jurnal Sains Riset Jurnal Sosial Humaniora Sigli Community Development Journal: Jurnal Pengabdian Masyarakat Al-Mudarris : Jurnal Ilmiah Pendidikan Islam Sricommerce: Journal of Sriwijaya Community Services Management of Zakat and Waqf Journal (MAZAWA)) Jurnal Aksioma Ad Diniyah : The Indonesian Journal of Islamic Studies Ekonomica Sharia: Jurnal Pemikiran dan Pengembangan Ekonomi Syariah Journal of Earth and Marine Technology (JEMT) International Journal of Engineering, Science and Information Technology Jurnal Pendidikan Matematika Unpatti TATOHI: Jurnal Ilmu Hukum Jurnal Pendidikan Teknik Sipil (JPTS) Jurnal Riset dan Inovasi Pembelajaran MALLOMO: Journal of Community Service Jurnal Hurriah: Jurnal Evaluasi Pendidikan dan Penelitian Kognitif: Jurnal Riset HOTS Pendidikan Matematika Education Enthusiast : Jurnal Pendidikan dan Keguruan Malikussaleh Journal of Mechanical Science Technology AKM: Aksi Kepada Masyarakat Share: Jurnal Ekonomi dan Keuangan Islam Indonesian Journal of Research and Educational Review (IJRER) Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance Jurnal Teknik Informatika dan Elektro (JURTIE) Pedagogy : Jurnal Pendidikan Matematika Jurnal Pendidikan dan Pembelajaran Al Dzahab Al-Tijary : Jurnal Ekonomi dan Bisnis Islam Aceh Journal of Community Engagement (AJCE) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) ITQAN: Jurnal Ilmu-ilmu Kependidikan Indonesian Research Journal on Education Saree : Research in Gender Studies Jurnal Kedokteran Hewan JURNAL KESEHATAN YAMASI MAKASSAR Jurnal Penyakit Dalam Indonesia Al Ghafur : Jurnal Ilmiah Pengabdian Kepada Masyarakat MEUSEURAYA : JURNAL PENGABDIAN MASYARAKAT Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi BANDWIDTH: Journal of Informatics and Computer Engineering AHSAN: Jurnal Dakwah dan Komunikasi Tarsius: Jurnal Pengabdian Tarbiyah, Religius, Inovatif, Edukatif dan Humanis Kanun: Jurnal Ilmu Hukum AHDÃF: Jurnal Pendidikan Agama Islam Jurnal Ilmu Pengetahuan dan Teknologi Bagi Masyarakat Journal Artificial: Informatika dan Sistem Informasi Ar Rehla: Journal of Islamic Tourism, Halal Food, Islamic Traveling, and Creative Economy ZONA: Jurnal Pengabdian Masyarakat PENG: Jurnal Ekonomi dan Manajemen Biokatalis: Jurnal Ilmu Biologi dan Pendidikan Biologi Jurnal Perikanan Terpadu JIMMI: Jurnal Ilmiah Mahasiswa Multidisiplin Amwaluna: Jurnal Ekonomi dan Keuangan Syariah Nawadeepa: Jurnal Pengabdian Masyarakat BULETIN FISIKA Jurnal Informatika
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PENERAPAN MODEL PEMBELAJARAN PROJECT BASED LEARNING MENGGUNAKAN APLIKASI MAPLE CALCULATOR UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS SISWA Taufiq, Taufiq; Junaidi, Junaidi; Mirunnisa, Mirunnisa; Maulina, Suci; Selfina, Selfina
Jurnal Sains Riset Vol 15, No 3 (2025): November 2025, In Progress
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Jabal Ghafur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47647/jsr.v15i3.3414

Abstract

This study aims to improve the critical thinking skills of students of SMA Negeri 1 Sigli through the application of the Project Based Learning learning model using the maple calculator application. The population in this study were all 210 students of grade XI of SMA Negeri 1 Sigli. The population in this study was more than 100, so a sample of 2 (two) classes was taken, namely the experimental class and the control class, totaling 60 students. The research method used was quasi-experimental. The experimental class used the Project Based Learning model using the maple calculator application, while the control class was given learning with conventional methods. Data collection was carried out with a final test, and data processing used the t-test. The results of data analysis showed that the average value of the experimental class was higher, namely 87.40 and the control class 79.27. The results of hypothesis testing obtained t-count t-table, namely 3,541 2,002. Thus, the application of the Project-Based Learning learning model using the maple calculator application can improve the critical thinking skills of students of SMA Negeri 1 Sigli.
Penguatan Kesadaran Lingkungan Berbasis Ekoteologi Bagi Siswa Kelas XII di Man Model Manado Ilmudinulloh, Rafiud; Nurhayati, Nurhayati; Ilham, Abrari; Darise, Gina Nurvina; Alkatiri, Rahmawaty; Mamonto, Samsul Bahri; Taufiq, Taufiq; Usman, Ismail K
TARSIUS : Jurnal Pengabdian Tarbiyah, Religius, Inovatif, Edukatif & Humanis Vol 7 No 2 (2025): Vol 7 No 2 (2025): 2025 Volume 7 Nomor 2
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan IAIN Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30984/tarsius.v7i2.1658

Abstract

Kesadaran ekologis menjadi aspek penting dalam pendidikan Islam sebagai bagian dari amanah kekhalifahan manusia di bumi. Namun, dalam praktiknya, sebagian peserta didik belum memahami keterkaitan antara iman dengan tanggung jawab menjaga lingkungan. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memperkuat pemahaman dan sikap peduli lingkungan melalui pendekatan ekoteologi bagi siswa kelas XII di MAN Model Manado. Kegiatan dilaksanakan dengan melibatkan 34 peserta didik melalui metode penyuluhan interaktif, diskusi, dan praktik menanam bibit pohon di taman sekolah. Hasil kegiatan menunjukkan peningkatan pemahaman siswa, yang ditunjukkan melalui hasil tes menggunakan platform Kahoot dengan sebagian besar nilai melampaui standar ketuntasan. Selain itu, terbentuk komunitas hijau madrasah sebagai wadah keberlanjutan aksi lingkungan. Dengan demikian, program ini efektif dalam memperkuat kesadaran ekoteologis dan perilaku peduli lingkungan di kalangan siswa.
Classification Analysis of Single Tuition Fees Using the Random Forest Method with K-Fold Cross Validation Khaidar, Al; Nurdin, Nurdin; Fajriana, Fajriana; Taufiq, Taufiq; Hamdhana, Defry
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11798

Abstract

Classification is the process of grouping data into specific categories based on their characteristics or features, which plays a crucial role in the analysis, decision-making, and prediction of new data. In academic settings, classification is used to determine the Single Tuition Fee to place students according to their economic ability. Lhokseumawe State Polytechnic has implemented the UKT system since 2020 with eight categories, but some students are still placed in UKT groups that do not match the results of the manual process, which has limited accuracy. This study uses the Random Forest method as a technology-based solution to improve the accuracy and objectivity of UKT classification. The dataset used consists of 10,000 student data with 10 variables, covering economic and social information. The research process includes data preprocessing, Random Forest model training, performance evaluation using accuracy, precision, recall, and F1-score, and model stability testing through 10-fold K-Fold Cross Validation. The results show that Random Forest is able to classify most UKT classes well, especially classes 0–5 and 7. Class 6 has lower performance with a recall of 0.39 and an F1-score of 0.56 due to the limited number of samples. The overall accuracy of the model reaches 96%, while K-Fold Cross Validation produces an average accuracy of 95.50% with a standard deviation of 0.66%, indicating the model is stable and able to generalize to new data. This study proves that Random Forest is effective in UKT classification, producing an objective, fair, and efficient system. This implementation model supports data-driven decision-making in higher education and increases transparency in UKT determination.
Apostasy As a Reason For the Dissolution of Marriage Yuyun Yulianah; Taufiq, Taufiq; Solihah, Cucu
Pena Justisia: Media Komunikasi dan Kajian Hukum Vol. 23 No. 2 (2024): Pena Justisia
Publisher : Faculty of Law, Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/pj.v23i3.5446

Abstract

Freedom to embrace religion is a human right that is protected by law, however, the Indonesian marriage law system does not recognize religious differences within the family. The act of leaving Islam (apostasy) affects the validity of the marriage and results in the dissolution of the marriage. Based on data obtained from the West Java Religious High Court regarding the dissolution of marriages due to apostasy, the authors try to examine it from a normative juridical basis regarding the reasons for apostasy being considered by religious courts and also the study of Islamic law (fiqhiyah) in terminating a marriage bond. The research method uses a qualitative approach in the form of a comparative analytical descriptive study, namely describing, describing, and disclosing data that is related to the research theme.
Machine Learning to Predict Climate Change in Coastal Areas of Indonesia Firdausi, Huriyatul; Ariska, Melly; Siahaan, Sardianto Marcos; Akhsan, Hamdi; Anwar, Yenny; Seprina, Iin; Taufiq, Taufiq
BULETIN FISIKA Vol. 27 No. 1 (2026): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2026.v27.i01.p05

Abstract

Indonesia's coastal regions face significant threats from climate change, including rainfall uncertainty, rising temperatures, and sea level rise. This study aims to explore the potential of machine learning algorithms in predicting climate parameter changes in the coastal areas of Minangkabau, Pesawaran, and Maritim Panjang. Daily climatological data obtained from the Meteorology, Climatology, and Geophysics Agency (BMKG) were used as the basis for model training. Three primary algorithms were tested Random Forest, XGBoost, and Long Short-Term Memory (LSTM) selected for their capability to handle complex and temporal data. The research methodology included data preprocessing, model training, cross-validation, and predictive performance evaluation using metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and the coefficient of determination (R²). Preliminary results show that LSTM excels in time series prediction, while XGBoost offers a good balance between speed and accuracy. These findings indicate that machine learning-based approaches have strong potential as decision-support tools for climate change mitigation and adaptation planning in Indonesia’s coastal regions.
Nurturing Resilient Women: Single Parents from the Perspective of Islamic Education Buto, Zulfikar Ali; Muhibuddin, Muhibuddin; Taufiq, Taufiq
Saree: Research in Gender Studies Vol. 7 No. 2 (2025): Saree: Research in Gender Studies
Publisher : Pusat Studi Gender dan Anak - PSGA (Center for Gender and Child Studies) Institut Agama Islam Negeri Lhokseumawe, Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47766/saree.v7i2.6326

Abstract

The phenomenon of single mothers is on the rise in modern society, bringing complex challenges in economic, psychological, social, and spiritual aspects. This article aims to examine the role and strength of women who live as single parents in educating their children based on Islamic educational principles. This research uses qualitative methods with Critical literature review to highlight the importance of spiritual education, moral strengthening, social skills development, life skills, and support from institutions and communities based on Islamic values. Based on a review of classical and contemporary Islamic educational literature, it was found that Islamic teachings give women a very noble position, especially as the main educators in the family environment, even without the presence of a spouse. Islam not only glorifies the role of mothers, but also emphasizes their pivotal role in shaping the character and personality of their children. The mental toughness, emotional independence, and spiritual intelligence of a single mother are formed through a comprehensive Islamic tarbiyah process, covering the spiritual, intellectual, and physical aspects. Through comprehensive education, women are able to raise a quality generation and build a just and civilized society. AbstrakFenomena ibu tunggal (single mother/parent) semakin meningkat di masyarakat modern, membawa tantangan kompleks dalam aspek ekonomi, psikologis, sosial, dan spiritual. Artikel ini bertujuan untuk mengkaji peran dan kekuatan perempuan yang hidup sebagai orang tua tunggal dalam mendidik anak-anak mereka berdasarkan prinsip-prinsip pendidikan Islam. Penelitian ini menggunakan metode kualitatif dengan tinjauan literatur kritis untuk menyoroti pentingnya pendidikan spiritual, penguatan moral, pengembangan keterampilan sosial, keterampilan hidup, dan dukungan dari lembaga dan komunitas berdasarkan nilai-nilai Islam. Berdasarkan tinjauan kritis terhadap sumber tulisan ilmiah dibidang pendidikan Islam klasik maupun kontemporer, ditemukan bahwa ajaran Islam memberikan posisi yang sangat mulia bagi perempuan, terutama sebagai pendidik utama dalam lingkungan keluarga, bahkan tanpa kehadiran suami. Islam tidak hanya mengagungkan peran ibu, tetapi juga menekankan peran sentral mereka dalam membentuk karakter dan kepribadian anak-anak mereka. Ketahanan mental, kemandirian emosional, dan kecerdasan spiritual seorang ibu tunggal terbentuk melalui proses tarbiyah Islam yang komprehensif, mencakup aspek spiritual, intelektual, dan fisik. Melalui pendidikan yang komprehensif, perempuan mampu mendidik generasi berkualitas dan membangun masyarakat yang adil dan beradab.
Development of a Realistic Mathematics Education-Based Teaching Module Integrated with Culture for Students at SMAN 1 Palopo Waris, Fiki; Taufiq, Taufiq; Ma’rufi, Ma’rufi; Patmaniar, Patmaniar
Jurnal Studi Guru dan Pembelajaran Vol. 9 No. 1 (2026): Januari - April 2026
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/jsgp.9.1.2026.7951

Abstract

The limited availability of teaching materials that connect mathematical concepts with students’ real-life and cultural contexts has become a critical challenge in improving students’ conceptual understanding and cultural awareness in mathematics learning. Therefore, this study aims to develop a culture-integrated teaching module based on the Realistic Mathematics Education approach for students at SMAN 1 Palopo, particularly on the topic of systems of linear equations in three variables. This study employed a research and development (R&D) method using the 4D (Define, Design, Develop, and Disseminate) development model. The research subjects consisted of students of SMAN 1 Palopo and mathematics teachers involved in the implementation stage. Data were collected using module validation sheets, learning implementation observation sheets, teacher response questionnaires, student response questionnaires, and learning outcome tests. The product analysis procedures included validity analysis by experts, practicality analysis based on teacher and student responses, and effectiveness analysis based on learning implementation and student learning outcomes. The results of the development analysis indicate that the Realistic Mathematics Education-based teaching module integrated with local culture is valid, practical, and effective. Expert validation results show that the module meets the language and presentation criteria. Teacher and student responses indicate positive perceptions of the module’s usability and relevance. Furthermore, learning outcome test results demonstrate that students were able to solve problems according to the indicators of Realistic Mathematics Education integrated with culture, indicating improved understanding of systems of linear equations in three variables.
Comparison of Logistic Regression and Random Forest Methods in Predicting Vehicle Tax Payment Compliance Fuadi, Khairul; Taufiq, Taufiq; Hasibuan, Arnawan; Abdullah, Dahlan; Nurdin, Nurdin
Jurnal Informatika Vol. 13 No. 1 (2026): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/informatika.v13i1.11944

Abstract

Motor vehicle tax is a major source of Regional Original Income (PAD). However, the level of motor vehicle tax payment compliance in North Aceh Regency is still suboptimal, particularly related to late payments. A data-driven approach is needed to predict and understand taxpayer compliance patterns more accurately. This study aims to compare the performance of the Logistic Regression and Random Forest methods in predicting motor vehicle tax payment compliance, as well as to identify factors that influence taxpayer compliance behavior at the North Aceh Samsat (Sat). This study uses secondary data in the form of motor vehicle tax payment transactions at the North Aceh Samsat for the 2022–2024 period, totaling 100,000 observations. The response variable is the tax payment compliance status (compliant and non-compliant), while the predictor variables include vehicle age, type of ownership, vehicle type, and vehicle brand. The data is divided into 70% training data and 30% testing data. The performance evaluation model is conducted using accuracy, precision, recall, and Area Under Curve (AUC) metrics. The analysis results show that Random Forest has better predictive performance than Logistic Regression, with higher accuracy and AUC values. Vehicle age and type of ownership are the most influential variables in predicting tax payment compliance, while vehicle brand has a relatively smaller influence. Logistic Regression provides a clear interpretation of the variable relationship, but has lower discrimination ability than Random Forest. Random Forest has proven to be more effective as a prediction model for motor vehicle tax payment compliance at the North Aceh Samsat. The application of machine learning-based predictive models has the potential to support more targeted policy making in an effort to improve motor vehicle tax payment compliance, especially in reducing late payments.
Analisis Efektivitas Metode Naïve Bayes terhadap Sentimen Opini Publik di X Mengenai Relokasi Ibu Kota Indonesia (IKN) Anas, Mukhtar; Nurdin, Nurdin; Taufiq, Taufiq
Jurnal Teknik Informatika dan Elektro Vol 8 No 1 (2026): Jurnal Teknik Elektro dan Informatika
Publisher : Universitas Gajah Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55542/jurtie.v8i1.1874

Abstract

Selesainya Rancangan Undang-Undang (RUU) pemindahan ibu kota pada awal September 2021, pembangunan Ibu Kota Nusantara (IKN) resmi dimulai pada bulan Juli tahun 2022. Persoalan ini mengundang pro dan kontra di masyarakat, karena kepentingan dan pandangan masing-masing. perkembangan dunia digital semakin canggih, informasi lebih mudah didapatkan melalui portal dan media sosial. Media sosial merupakan salah satu tempat untuk menyampaikan opini masyarakat. Melalui text mining di X kita dapat memahami gambaran orang dalam persepsi mereka terhadap kebijakan pemerintah, baik Positif, Netral dan Negatif. Analisis sentimen ini perlu dilakukan, oleh karena itu penelitian Analisis Efektivitas Metode Naïve Bayes Pada Sentimen Opini Publik Di X Terhadap Pemindahan Ibu Kota Nusantara (IKN) dilakukan untuk melihat polarisasi opini masyarakat dan menguji efektivitas metode Naïve Bayes terhadap dataset IKN. Rancangan penelitian cross sectional karena data yang diambil dari aplikasi X sejak tanggal 18 Januari 2022 sampai dengan 3 Maret 2024. Hasil screping data didapatkan sebanyak 3775 tweet, kemudian dicleaning sehingga menghasilkan 2778 data tweet. Dalam scrapping dan analisis data tweet alat yang digunakan google colab dan bahasa pemograman phyton. Data dibagi menjadi data latih sebanyak 80% dan data uji 20%. Polarisasi sentimen tweet positif sebanyak 1153 (39.32%) Netral 991 (33.80%) dan Negatif 788 (26.88%). Tingkat akurasi untuk tiap tiap jenis naïve bayes, GaussianNB 0.5168, MultinomialNB 0.6133 dan bernoulliNB 0.6115. hasil uji akurasi menggunakan confusion matrix menggambarkan metode Naïve Bayes dengan jenis MultinomialNB mendapatkan akurasi yang lebih tinggi dalam mengklasifikasi dataset IKN
ANALISIS KEMAMPUAN LITERASI MATEMATIKA DITINJAU DARI PENDIDIKAN KARAKTER MANDIRI PADA SISWA DI SMP NEGERI 5 WALENRANG Pagiling, Eka; Karmila, Karmila; Basir, Fahrul; Taufiq, Taufiq
Pedagogy: Jurnal Pendidikan Matematika Vol. 10 No. 4 (2025): Pedagogy : Jurnal Pendidikan Matematika
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/y84wtp42

Abstract

Penelitian ini bertujuan untuk mendeskripsikan kemampuan literasi matematika siswa ditinjau dari pendidikan karakter mandiri pada siswa. Jenis penelitian ini adalah penelitian kualitatif. Subjek dalam penelitian ini terdiri dari 3 orang siswa yaitu Subjek karakter mandiri siswa tinggi, sedang dan rendah. Instrumen utama dalam penelitian ini adalah peneliti sendiri dan instrumen pendukung yaitu angket karakter kemandirian siswa, tes kemampuan literasi matematika dan pedoman wawancara. Adapun hasil dari penelitian subjek  ST dapat menyelesaikan permasalahan rutin, menyelesaikan masalah dengan konteks umum dengan mengidentifikasi aspek-aspek matematika dalam soal kemudian mengubahnya menjadi model matematika, dapat menginterpretasikan masalah dan menyelesaikannya menggunakan rumus, dapat memilih strategi, merancang dan melaksanakan prosedur matematika dengan baik dalam menyelesaikan soal, dapat bekerja secara efektif dengan model-model matematika. Subjek SD dapat menuliskan informasi dari soal yaitu dimana subjek menuliskan apa yang diketahui dan ditanyakan dari soal sehingga subjek dapat menjawab pertanyaan yang konteksnya umum dan melaksanakan prosedur rutin. Subjek SR dapat menjawab pertanyaan yang konteksnya umum dan melaksanakan prosedur rutin dengan menuliskan informasi yang didapatkan dari soal yaitu menuliskan yang diketahui dan ditanyakan sesuai dengan permasalahan pada soal.
Co-Authors ABDUL BASHIR, ABDUL Abdul Latief Abubakar Abubakar Achmad Soeharto Adnan, Nazeli Agam Thahir, Muhammad AH. Asari Taufiqurrohman Ahmad, Andi AKHMAD NOOR Akramunnisa, Akramunnisa - Alchalil Alchalil Ali muhajir, Ali Alkahfi, Bayu Dharmaraga Alkatiri, Rahmawaty Alkhaidir, Alkhaidir Amaliah, Tadzkirah Amarullah, Amarullah Ananda, Faisar Anas Arfandi Anas, Mukhtar Andaiyani, Sri Andini, Andini Anik Kunantiyorini Anwar Anwar Anwar Sadat Aravik, Havis Ari Fahrial Syam Arief, Muyassir Arif, Muyassir Ariska, Nana Arnawan Hasibuan Asniar Asniar ASRIL ASRIL Asrita, Asrita Astia Putri Audy Audy Azhar, Zahroel Azwar Azwar Bagio, Bagio Baharuddin, Muhammad Rusli Batubara, Maryam Bernadette Robiani Besse Herdiana Bongso, Saiful Bukhari Bukhari C Rinaldi A Lesmana Cucu Solihah Dahlan Abdullah Darise, Gina Nurvina Darmawi . Denmar, Denmar Dirta Pratama Atiyatna Dwi Darma Puspita Sari Dwi Edi Wibowo Ery Agus Priyono, Ery Agus Ery Wati Ezzerouali, Souad Ahmed Fahrul Basir Fajri, Maulidil Fajriana, Fajriana Faliqul Isbah Fanani, Ahmad Aziz Faridi Faridi Farisya, Putroe Fatimatus Zahra, Fatimatus Fatwa, Islami Fikhri, Aditya Aziz Firdausi, Huriyatul Fitriani A , Fitriani A Fitriani Fitriani Fuadi, Khairul Hamdhana, Defry Hamdi Akhsan Hamidi Hamidi Hamira, Hamira Hardiana, Hardiana Harjomulyadi, Sarwono Hendrawan, Yoni Heriyanto Heriyanto hery saputra Humaedi Ichsan Hamidi Idrus, Muhammad Ainun Ilham, Abrari Ilmudinulloh, Rafiud Insani, Sri Ayu Inten Meutia Iqbal Iqbal Irwan Irwan Ishak, Zulkarnain Islami Fatwa Izzati, Nurul Jakfar, Sukandar Jumadi Jumadi Jumarniati, Jumarniati Junaidi Junaidi karmila karmila Khaidar, Al Lannyati, Niniek Lasido, Nur Allan M. Hatta Ma'rufi, Ma'rufi Maharani Maharani, Maharani Mahfud Sholihin Mahmud, Ihsan Mainan, Cut Malahayatie, Malahayatie Mamonto, Samsul Bahri Marhayudi, Putut Mashuri, Imam Maulana, Nora Maulida, Nanda Rizka Maulina, Suci Ma’rufi, Ma’rufi Mega, H D Melly Ariska Miftha Pratiwi Mila Safitri, Mila Mirunnisa Mirunnisa Mirunnisa, Mirunnisa Misraeni, Misraeni Muchlis Abdul Muthalib Muhammad Arif Muhammad Daud Muhammad Fikry Muhammad Ilyas Muhammad Yusuf Muhammad Zakaria Muhammad Zulham Muhibuddin Muhibuddin, Muhibuddin Mukhlis Mukhlis Mukhsinin, Iqbal Munar Munar Munirul Ula Murni Yuniwati, Murni Musriandi, Riki Mustakim Mustakim Mutiara Arlisyah Putri Utami Napitupulu, Diana Ria Winanti Nasrah, Sayni Natyanna, Sheila Nazaruddin, Saiful Niko Halpito, Fauzi Wahyu Nur Khasanah Nur Rahmah Wahyuddin Nurdin Nurdin Nurdin Nurdin Nurhayati Nurhayati Nurhayati, Is Nurjannah Nurjannah Oslan Jumadi Pagiling, Eka Pasalli, Hastria Pasaribu, Simon Alex Patmaniar, Patmaniar Patobun, Patobun Putra, Iwandikasyah Putra, Muhammad Deni Qhisthina Atikah Rahmi, Mutia Razali Razali Rosdiana Rosdiana Rudi Hartono Ruhama, Ruhama Ruhamah Ruhamah Safruddin Saleh, Muhammad Arif Sami'an, Sami'an Santi Santi Sardianto Markos Siahaan, Sardianto Markos Sari, Cut Jora Sayuti, Muhammad Selfina, Selfina Seprina, Iin Setiawan Setiawan Setiyowati, Devi Ariska Siahaan, Sardianto Marcos Siraj Siraj Siregar, Zulfikar Ali Buto Suci Maulina Sugito - Suhel Suhel Suhendro Suwarto, Suhendro Sukanto Sukanto Sukmawati Sukmawati Sumartan Sumartan Sumartono, Arief Muhammad Suparmin, Sudirman Suryaningsih, Nur Anny Syahputra, Angga Syahputra, Azhar Syahputra, Wawan Syamsiar, Syamsiar Syamsidah, Syamsidah SYAMSU ALAM Syamsuddin, Syaiful Syukriah Syukriah, Syukriah Tiyas Vika Widyastuti Trisna Trisna, Trisna Tuje, Ihzattul Faudzan Usman, Ismail K Uyun, Nadirotul Wafda, Andi wahyuni wahyuni Waris, Fiki Waty, Eri Widya Putri Ramadhani Witri, Witri Yenny Anwar Yuliandari, Widyanti Yunisvita, Yunisvita Yuyun Yulianah Zamruddin Hasid Zulfikar Ali Buto Zulmiardi, Zulmiardi Zuraida Zuraida Zuraidawati Zuraidawati, Zuraidawati