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All Journal Jurnal Gamma EKSAKTA: Journal of Sciences and Data Analysis JURNAL SAINS PERTANIAN EQUATOR Jurnal Ekonomi : Journal of Economic Paradigma Geoplanning : Journal of Geomatics and Planning Pro Bisnis Jurnal Dinamika Pengabdian (JDP) JOIV : International Journal on Informatics Visualization Knowledge Engineering and Data Science BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Teknologi Sistem Informasi dan Aplikasi JSiI (Jurnal Sistem Informasi) JSAI (Journal Scientific and Applied Informatics) Jurnal Teknologi Informatika dan Komputer Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Enthusiastic : International Journal of Applied Statistics and Data Science Proceedings Series on Physical & Formal Sciences Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) Blend Sains Jurnal Teknik Jurnal Informatika dan Teknologi Pendidikan Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) KOLONI Innovative: Journal Of Social Science Research Ahsana: Jurnal Penelitian dan Pengabdian kepada Masyarakat STATISTIKA Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) Medic Nutricia : Jurnal Ilmu Kesehatan Jurnal Ilmu Komunikasi dan Sosial Politik Jurnal Kajian Islam dan Sosial Keagamaan Journal of Intelligent Systems and Information Technology Indonesian Journal of Islamic Law (IJIL) IERA, Islamic Education and Research Academy Jurnal Sains dan Teknologi Kesehatan Emerging Statistics and Data Science Journal Jurnal Hukum dan Ekonomi Syariah
Achmad Fauzan, Achmad
brawijaya university
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Analisis Pesan Dakwah Bergambar Pada Akun Instagram @Parentingmuslimid Fauzan, Achmad
KOLONI Vol. 3 No. 3 (2024): SEPTEMBER 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v3i3.662

Abstract

Da'wah is an important part of Islam. If translated from Arabic, the meaning of da'wah briefly means 'to invite'. In the context of Islam, the meaning of da'wah is to invite people to the teachings of Allah SWT. The Van Dijk model of discourse analysis is the most frequently used. In this study, only the text dimension is discussed. This is specifically because the object of study is news text. Each post has a different background story as well as word choice and writing style. Posts from the May-June period, some use assumption sentences and some do not. While in the choice of words, sometimes using standard words or direct sentences in some posts, and in other posts parentingmuslimid uses refined language but does not reduce the meaning conveyed. A. In the analysis of the microstructure of the @parentingmuslimid account in conveying messages, elements of microstructure, background, details, expressions, and assumptions were found. B. From the several posts above, each uses the theme of education, and faith in Allah SWT c. From the results of the superstructure analysis, posts were found that used the al-mauidza method and the mujadalah bi al-lati hiya ahsan method.
ANALISIS PRO DAN KONTRA EUTHANASIA DAN LEGALISASI DI BEBERAPA NEGARA DALAM PERSPEKTIF KESEHATAN, KEMANUSIAAN, DAN KEAGAMAAN Hafidz, Syauqi Jauzza; Fauzan, Achmad; Ramadhan, Muhammad Rizal
Medic Nutricia : Jurnal Ilmu Kesehatan Vol. 8 No. 5 (2024): Medic Nutricia : Jurnal Ilmu Kesehatan
Publisher : Cahaya Ilmu Bangsa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5455/nutricia.v8i5.6344

Abstract

Abstract. Euthanasia is a controversial issue that involves legal, moral, health, and humanitarian aspects. This practice refers to the act of ending a person's life to alleviate suffering, either actively or passively. Euthanasia can be categorized into voluntary, non-voluntary, and involuntary types. Policies regarding Euthanasia vary significantly across countries, with some having legalized it while others continue to prohibit it. Proponents argue for the individual's right to end suffering, whereas opponents focus on the potential for abuse and humanitarian values. This research employs a literature review method to explore health, humanitarian, and religious perspectives related to Euthanasia. The findings indicate that the legalization of Euthanasia requires a deep understanding of its ethical, legal, and social impacts. This study is expected to contribute to a broader discussion on Euthanasia and support equitable policy decision-making. Euthanasia merupakan isu kontroversial yang melibatkan aspek hukum, moral, kesehatan, dan kemanusiaan. Praktik ini merujuk pada tindakan mengakhiri hidup seseorang untuk mengurangi penderitaan, baik secara aktif maupun pasif. Euthanasia dapat dibedakan menjadi voluntary, non-voluntary, dan involuntary. Di berbagai negara, kebijakan Euthanasia sangat bervariasi, dengan beberapa negara yang telah melegalkannya dan yang lainnya tetap melarang. Argumen mendukung menekankan hak individu untuk mengakhiri penderitaan, sementara argumen menolak fokus pada potensi penyalahgunaan dan nilai-nilai kemanusiaan. Penelitian ini menggunakan metode studi literatur untuk mengeksplorasi perspektif kesehatan, kemanusiaan, dan keagamaan terkait Euthanasia. Hasil penelitian menunjukkan bahwa legalisasi Euthanasia memerlukan pemahaman yang mendalam tentang dampak etis, hukum, dan sosialnya. Penelitian ini diharapkan dapat berkontribusi pada diskusi yang lebih luas mengenai Euthanasia dan mendukung pengambilan keputusan kebijakan yang berkeadilan
Pendekatan Naïve Bayes untuk Mengidentifikasi Perokok Tembakau Berdasarkan Faktor Sosio-Demografi dan Kesehatan Faza Izzatul Muttaqin; Fauzan, Achmad
Statistika Vol. 24 No. 2 (2024): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v24i2.4224

Abstract

ABSTRAK Merokok adalah kebiasaan yang berdampak negatif pada kesehatan masyarakat Indonesia. Untuk mengatasi masalah ini, diperlukan pemahaman tentang faktor-faktor demografi, pendidikan, dan kesehatan yang mempengaruhi perilaku merokok. Penggunaan metode klasifikasi Naïve Bayes relevan karena dapat memberikan wawasan menyeluruh mengenai faktor-faktor yang mempengaruhi perilaku perokok tembakau di Kota Tasikmalaya. Penelitian ini menggunakan data dari Survei Sosial Ekonomi Nasional (SUSENAS) Maret 2023 di Kota Tasikmalaya. Data dibagi menjadi data pelatihan dan data pengujian, dan kemudian dibagi lagi untuk validasi model. Model tersebut dibuat dan dievaluasi dengan mengacak sampel, membuat model, dan mengevaluasi sebanyak 100 kali. Hasil evaluasi kinerja model dalam mengklasifikasi data validasi menunjukkan akurasi rata-rata 87% dengan standar deviasi 0,0689 dan standar error 0,00689. Confidence interval antara 85.64% dan 88.35% menunjukkan model yang dapat diandalkan. Pengujian akhir model pada data testing mencapai akurasi 83.33%, menunjukkan model berkemampuan baik dalam mengklasifikasikan perokok tembakau di Kota Tasikmalaya pada Februari 2023. ABSTRACT Smoking is a habit that negatively impacts the health of the Indonesian population. To address this issue, it is essential to understand the demographic, educational, and health factors influencing smoking behavior. The use of the Naïve Bayes classification method is relevant as it provides comprehensive insights into the factors affecting tobacco smoking behavior in the city of Tasikmalaya. This study uses data from the National Socio-Economic Survey (SUSENAS) conducted in March 2023 in Tasikmalaya. The data is divided into training and testing datasets, with the training data further split for model validation. The model was built and evaluated by randomizing samples, creating models, and evaluating them 100 times. The model's performance evaluation in classifying the validation data showed an average accuracy of 87% with a standard deviation of 0.0689 and a standard error of 0.00689. The confidence interval between 85.64% and 88.35% indicates a reliable model. The final testing of the model on the testing data achieved an accuracy of 83.33%, model demonstrating a good capability in classifying tobacco smokers in Tasikmalaya in February 2023.
Peningkatan Distribusi Bantuan Sosial di Pangkalpinang dengan Pengelompokan Berbantuan Algoritma K-Means Dwitra Gusti Alriscki; Fauzan, Achmad
Statistika Vol. 24 No. 2 (2024): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v24i2.4305

Abstract

ABSTRAK Program bantuan sosial (Bansos) merupakan kebijakan penting yang diimplementasikan untuk mengatasi kemiskinan dan meningkatkan kesejahteraan masyarakat. Penelitian ini bertujuan untuk meningkatkan efektivitas program bantuan sosial di Kota Pangkalpinang melalui penerapan metode K-Means Clustering dalam pengelompokan kelurahan dengan tingkat kesejahteraan rendah. Data yang digunakan adalah Data Terpadu Kesejahteraan Sosial (DTKS) yang mencakup penerima bantuan dari berbagai program seperti PBI, BST, dan lainnya. Metode K-Means Clustering diterapkan untuk mengelompokkan kelurahan berdasarkan indikator kemiskinan, yang kemudian dianalisis untuk profilisasi cluster. Analisis Principal Component Analysis (PCA) dilakukan untuk mengatasi multikolinearitas antar variabel. Silhouette coefficient digunakan untuk menentukan jumlah cluster yang ideal untuk memastikan validitas pengelompokan. Hasil penelitian menunjukkan tiga cluster utama dengan nilai silhouette coefficient sebesar 0.458. Cluster pertama memiliki penerima bantuan terbanyak, sedangkan cluster ketiga memiliki penerima bantuan terendah. Penggunaan metode ini diharapkan dapat meningkatkan efektivitas dan efisiensi distribusi bantuan sosial dengan memastikan bantuan tepat sasaran sesuai dengan tingkat kemiskinan masing-masing kelurahan. Oleh karena itu, penelitian ini diharapkan dapat membantu kebijakan bantuan sosial Kota Pangkalpinang. ABSTRACT The social assistance program (Bansos) is an important policy implemented to address poverty and improve community welfare. This research aims to improve the effectiveness of social assistance programs in Pangkalpinang City through the application of the K-Means clustering method in grouping sub-districts with low welfare levels. The data used is the Integrated Social Welfare Data (SWD), which includes recipients of assistance from various programs such as PBI, BST, and others. The K-Means clustering method is applied to group villages based on poverty indicators, which are then analyzed for cluster profiling. Principal Component Analysis (PCA) is conducted to address multicollinearity among variables. The silhouette coefficient is used to determine the ideal number of clusters to ensure the validity of the clustering. The research results show three main clusters with a silhouette coefficient value of 0.458. The first cluster has the most aid recipients, while the third cluster has the fewest aid recipients.The use of this method is expected to improve the effectiveness and efficiency of social assistance distribution by ensuring that aid is targeted according to the poverty levels of each sub-district. Therefore, this research is expected to assist the social assistance policies of Pangkalpinang City.
PERTIMBANGAN MAHKAMAH KONSTITUSI TERHADAP PUTUSAN NOMOR 22/PUU-XV/2017 TENTANG BATAS USIA MINIMAL MENIKAH BAGI PEREMPUAN PERSPEKTIF MAQĀSID SHARĪ’AH JASSER AUDA Fauzan, Achmad
Indonesian Journal of Islamic Law Vol. 2 No. 1 (2019): Indonesian Journal of Islamic Law
Publisher : Postgraduate Programme of UIN Kiai Haji Achmad Siddiq Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35719/ijil.v2i1.564

Abstract

Jurnal ini membahas tentang pertimbangan hukum hakim terhadap putusan judicial review atas Pasal 7 Ayat (1) dan (2) Undang-undang No.1 Tahun 1974 Tentang Perkawinan yang di ajukan oleh pemohon yang merupakan korban pernikahan di bawah umur (kurang dari 16 tahun). Adapun pokok persoalan yang dijadikan alasan oleh para pemohon adalah pasal Pasal 7 Ayat (1) dan (2) Undang-undang No.1 Tahun 1974 Tentang Perkawinan tersebut yang dinilai mendung diskriminasi terhadap kaum perempuan dan tidak sesuai dengan UUD 1945 sehingga usia nikah layak untuk di naikkan, kemudian Mahkamah Konstitusi menerima permohonan tersebut dengan Putusan MK Nomor 22/PUU-XV/2017. Berangkat dari hal tersebut, maka fokus permasalahan yang di diskusikan dalam penelitian ini adalah bagaimana perspektif Maqāṣid Sharī`ah mengenai pertimbangan hukum Putusan tersebut. Penelitian ini merupakan library research dengan data primer berupa putusan MK Nomor 22/PUU-XV/2017. Adapun data sekunder berupa literatur-literatur yang berkaitan dengan putusan, seperti buku, jurnal, surat kabar, dan dokumen-dokumen lain. Data tersebut kemudian dianalisis menggunakan Maqāṣid Sharī`ah Jasser ‘Auda dengan metode induktif-deduktif. Adapun pendekatan dalam penelitian ini adalah yuridis- filosofi. Hasil analisis menunjukkan bahwa pertimbangan hukum terhadap keputusan Mahkamah Konstitusi sudah sesuai dengan Maqāṣid Sharī`ah Jasser ‘Auda. Berdasarkan teori Maqāṣid Sharī`ah. Dengan munggunakan pendekan system yang enam yaitu: Cognitive Nature, al-kulliyyah wholeness (Kemenyeluruhan), Openness (Keterbukaan), hirarki-saling berkaitan (interrelated hierarchy), Menurut Multi-Dimensionality, Purposefulness (Kebermaksudan).
ANALISIS INPUT-OUTPUT DAMPAK SEKTOR PARIWISATA TERHADAP PEREKONOMIAN DI PROVINSI DAERAH ISTIMEWA YOGYAKARTA Buana, Arya Galih; Ghefira Nurhaliza, Celine; Fauzan, Achmad; Sutisna, Irwan
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 6 No. 1 (2025): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v6i1.865

Abstract

The tourism sector plays an important role in increasing employment absorption, promoting equitable business opportunities, and contributing to foreign exchange earings. In 2023, optimism in Indonesia's tourism sector grew, with the number of domestic tourist trips reaching 825.80 million, an increase of 12.37 percent compared to 2022. The Special Region of Yogyakarta (DIY) is one of the most popular tourist destinations in Indonesia, known for its cultural, historical, and natural richness. The growth of tourist visits in DIY not only increases direct income from tourism activities but also positively impacts other economic sectors such as culinary, handicrafts, transportation, and services. This study aims to analyze the role of the tourism sector in DIY in driving and contributing to the regional economy using the Input-Output table. Backward and forward linkage analysis is used to identify key sectors in the economy. The results show that the air transportation sector has the highest spread value among other tourism sectors, while the food and beverage provision sub-sector contributes the most to the total Gross Regional Domestic Product (GRDP) at Current Market Prices in DIY. Simulations of a 1000 billion rupiah investment in each tourism sub-sector show that the air transportation sub-sector provides the largest total impact, while the food and beverage provision sub-sector makes a significant contribution to economic output. Employment projections indicate that the transportation and warehousing sector can create approximately 37,183 new jobs, while the accommodation and food and beverage sector can generate around 3,523 new jobs. Equal investment in each sub-sector is estimated to increase economic growth by 4.25% and reduce the number of unemployment people by 1.832%.
Penerapan Media Pembelajaran Berbasis Web Responsive Bagi Mahasiswa Penyandang Disabilitas Muktiadi, Ridho; Fauzan, Achmad; Faridli, Efi Miftah
Jurnal Informatika dan Teknologi Pendidikan Vol. 4 No. 2 (2024): Desember 2024 - Jurnal Informatika dan Teknologi Pendidikan
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/jitp.v4i2.109

Abstract

Pandemi yang melanda di Indonesia menjadi salah satu pendorong semakin cepatnya perkembangan teknologi, khususnya dibidang teknologi informasi. Masa pandemi membatasi adanya interaksi antara orang dengan orang lain, sehingga komunikasi secara daring menjadi salah satu pilihan. Perkembangan komunikasi yang semakin cepat juga berpengaruh terhadap proses pembelajran di perguruan tinggi, yang melaksanakan kegiatan perkuliahan secara daring. Dalam perkembangannya banyak model pembelajaran yang diselenggarakan secara daring dan menjadi salah satu solusi bagi mahasiswa disabilitas yang tidak bisa mengikuti perkuliahan secara langsung, dengan menggunakan media pembelajaran dalam bentuk web. Menggunakan aplikasi web harapannya mahasiswa disabilitas mampu mengikuti perkuliahan dimanapun dan melalui perangkat apapun yang disajikan secara responsive. Menggunakan metode Extreme Programing dalam pembuatan web responsive menjadi pertimbangan khusus dimana akan memprsingkat waktu pengerjaan yang akan meliputi beberapa tahapan: tahap perencanaan dilakukan dengan wawancara dan dokumentasi, tahap perancangan dibuat desain aplikasi menggunakan Use Case Diagram, tahap pengkodean menggunakan bahasa pemrograman php dan template bootstrap untuk membuat aplikasi dan tahap pengujian menggunakan Black Box Testing untuk menguji fungsi yang ada pada aplikasi tersebut.     
ESTIMATING EARTHQUAKE MAGNITUDE USING SPATIAL INTERPOLATION WITH THE INVERSE DISTANCE WEIGHTING AND ORDINARY KRIGING APPROACH Amalia, Fitri; Fauzan, Achmad
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp937-948

Abstract

The West Java region is known for its high disaster vulnerability, particularly to earthquakes, due to the presence of many active faults. Based on this, information is needed as an initial step for disaster mitigation to reduce disaster risk and guarantee community safety in the West Java region, one of which is by carrying out spatial interpolation. In this study, the Inverse Distance Weighted (IDW) and Ordinary Kriging (OK) methods were used. The research sample included data on earthquake magnitude in West Java within the same coordinate range, from 01 January 2022 to 31 December 2022. This research was conducted to find out a more precise spatial interpolation method in estimating the strength of the earthquake in West Java in 2022. From the OK analysis results, the best theoretical semivariogram model was obtained, namely the Exponential model with nugget, sill and range values ​​of 0.07, 0.12 and 11451 meters. From the results of the IDW analysis, the best power value parameter was obtained, namely 2. This research was conducted to develop a more precise spatial interpolation method for estimating earthquake strength in West Java in 2022. The OK method results indicated that most of the West Java region has the potential for earthquakes with a magnitude of around 1.5 to 4.0, while the IDW method suggested a potential magnitude of around 2.0 to 4.0. The potential for a high-magnitude earthquake is in Kp. Cileuley, Garumukti, Pamulihan District, Garut Regency, West Java. Based on the results of Holdout Cross Validation, the IDW method is the best for estimating earthquake magnitude in West Java, with a MAPE value of 17.8%. The IDW method's estimation of earthquake magnitude is superior to OK, with smaller MAPE and MAE values.
A Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) Approach for Identifying Potential Villages in Buleleng Regency Amalina, Dina Nur; Fauzan, Achmad
Knowledge Engineering and Data Science Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um018v7i22024p187-199

Abstract

Buleleng Regency, located in Bali Province, possesses diverse village potential, including agricultural production and tourist attractions. However, this potential has not been fully optimized. Therefore, it is important to enhance village potential by clustering villages based on their specific characteristics to identify and prioritize those requiring special attention. This approach aims to promote equitable village development and reduce poverty levels. This study clusters villages in Buleleng Regency based on their potential using the Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) method. The data utilized in this study comprises village potential data obtained from the Buleleng Regency Statistics Office (BPS) for all districts and the Statistical Service Information System. The variables used in this study are based on aspects of population, communication, tourism, trade, health, religion, social affairs, and public welfare. Tuning parameters were performed to determine the optimal parameters, resulting in optimal parameters, such as minimum cluster size = five and minimum samples = 2, which produced two main clusters. The first cluster comprises six villages, while the second includes 118 villages. Additionally, a noise cluster representing outliers, consisting of 24 villages, was identified. The findings indicate that the first cluster exhibits higher village potential than the second cluster. Based on these results, it is recommended that the government prioritize the second cluster when designing and implementing targeted programs and policies to reduce poverty by developing village potential.
Temporal and Spatial Analysis of Vegetation and Non-Vegetation Using Landsat 8 Imagery with a Support Vector Machine Approach Syifa Fauziyah; Fauzan, Achmad
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 6, ISSUE 1, April 2025
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol6.iss1.art5

Abstract

Kertajati International Airport is one of the newest airports located in Majalengka regency, West Java province. The establishment of this airport has sparked interest as a case study, particularly regarding land-use changes around the Kertajati area and, more broadly, in Majalengka Regency. This study aims to measure the extent of changes in vegetated and non-vegetated land around Kertajati International Airport, Majalengka Regency, West Java Province. The methodology employed involves the Support Vector Machine (SVM) classification method. Various kernels, including (1) linear, (2) polynomial, (3) radial basis function (RBF), and (4) sigmoid, were simulated in the analysis. The data used in this study comprise Landsat 8 satellite imagery obtained from Google Earth Engine, utilizing bands such as red, green, blue, near-infrared (NIR), and shortwave infrared (SWIR) for the years 2013 and 2023. The dataset was split using the hold-out method into four scenarios, with varying training and testing data proportions: 75%-25%, 80%-20%, 85%-15%, and 90%-10%. Each scenario was repeated 40 times to ensure robust results. The best results were achieved using the SVM model with an RBF kernel at a data split ratio of 75%-25%, as indicated by the highest accuracy scores. Consistent with the accuracy, the evaluation metrics also fell into a high-performance category. Land area predictions for the vicinity of Kertajati International Airport were analyzed based on the optimal data split proportion. The results of this study reveal a significant reduction in vegetated land from 2013 to 2023, accompanied by a notable increase in non-vegetated land over the same period.
Co-Authors Abid Yanuar Badharudin Adhar Arifuddin Adhi Pribadi Agung Dwi Ramadhan, Agung Ahmad, A. Sri Sartika Sufiina Amalina, Nur Dina Anang Kurnia Andreas Wahyu Gunawan Annisa Dwi Risqi Ariyadi, Fandy Akhmad Ashari Ashari Ayu Wulandari Bariklana, Muhammad Buana, Arya Galih Cahyani, Laras Niken Dwi Christopher Yudha Erlangga Dafrian, Rafli Danang Bagus Wibowo Dany Hilmanto Daryono Daryono, Daryono Denta, Anggeria Dewi, Sawitri Diana Apriyanti, Diana Dwitra Gusti Alriscki Efi Miftah Faridli, Efi Miftah Elsa Pudji Setiawati Evicenna Naftuchah Riani, Evicenna Naftuchah Fachry Abda El Rahman Faza Izzatul Muttaqin Fazira, Nabila Dwi Febrianti, Nur Qadri Feri Wibowo Fitri Amalia Fitri Yanti Ghefira Nurhaliza, Celine Hafidz, Syauqi Jauzza Hakim, Raden Bagus Fajriya Humairah, Nanda Lailatul Lahan Adi Purwanto Marisi Aritonang Marisma, Murni Maulana, Ashabul Akbar Maziyah Mazza Basya Mohamad Irkham Mamungkas Munandar Munandar Nabilah, Muna Faizatun Najlah Nugraha, Agasta Pratama Nur Faizin Nur Kusmiyati Nursidah, Dea Ratu Oktaviani, Nabila Pradana, Wahyu Aji Pratama, Arizqi Ihsan Pratiwi, Erlina Lutfiayu Primandari, Arum Handini Purwanto, Kalis Purwanto, Muhammad Idris Putri, Sabrina Marta Rahmawati, Octavia Ramadhan, Muhammad Rizal Ramadhan, Rizki Fauzian Ridho Muktiadi Rinaldi Sjahril, Rinaldi Roza Azizah Primatika, Roza Azizah Sadat, Fauzan Safira, Nuzulia Nur Saini, Mukhamat Santoso, Alfian Setya Adhiwibawa, Marcelinus Alfafisurya Shenny Oktoriana Siregar, Ayu Lestari Siregar, Rania Febriyola Sirojudin, Didin  Supriyono Supriyono Suri, Mulhamatus Latifatus Suria, Muh. Yunus Sutisna, Irwan Syahdony, Farrel Nolan Tito Pinandita Wahyudin, M. Abyan Widyastuti, Galuh Widyawati, Dwi Kartika Wilis Dwi Pangesti Wiranti, Ridha Yanasari, Herlinda Yuliana Watiningrum, Rahayu Yuliana, Alfa Zahidah, RA Ghina Zakariyah Zakariyah