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All Journal e-Dinamis ELT Worldwide: Journal of English Language Teaching Jurnal Adabiyah KAREBA : Jurnal Ilmu Komunikasi International Journal of Artificial Intelligence Research Jurnal Penelitian Sains JURNAL MEDIA INFORMATIKA BUDIDARMA BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks UICELL Conference Proceeding Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat IJISH (International Journal of Islamic Studies and Humanities) LISANAN ARABIYA: Jurnal Pendidikan Bahasa Arab Mobile and Forensics Signal and Image Processing Letters Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal English Teaching and Linguistics Journal (ETLiJ) Al-Fathin: Jurnal Bahasa dan Sastra Arab Letters in Information Technology Education (LITE) Jurnal Kesehatan Tambusai Jurnal Jarlit JTechLP El 'Aailah Journal Medical Informatics Technology Bulletin of Social Informatics Theory and Application International Journal of Business English and Communication (IJoBEC) Jurnal Literasi dan Pembelajaran Indonesia Celebes Journal of Language Studies QOSIM: Jurnal Pendidikan, Sosial & Humaniora Journal of Sustainable Community Development GEMBIRA (Pengabdian Kepada Masyarakat) J-Shelves of Indragiri (JSI) Jurnal Pengabdian Masyarakat Mentari Multidisciplinary Indonesian Center Journal Journal on Mathematics Education Signal and Image Processing Letters Axiology
Ahmad Azhari
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Journal : Mobile and Forensics

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Visualisasi Informasi Website International Conference Berdasarkan Web-Quality Framework Pangistu, Lalu Arfi Maulana; Azhari, Ahmad; Aktawan, Agus
Mobile and Forensics Vol 1, No 2 (2019)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v1i2.1282

Abstract

Konferensi merupakan pertemuan yang bertujuan untuk bertukar pendapat mengenai suatu masalah yang dihadapi bersama. Dengan adanya perkembangan teknologi membuat manusia berfikir untuk dapat bekerja lebih efektif dan efisien. Salah satunya yaitu membuat sistem konvensional menjadi sistem yang terkomputerisasi. Dengan memanfaatkan fasilitas website yang terhubung ke internet, pihak penyelenggara konferensi dapat lebih efektif untuk melakukan penyebaran informasi, registrasi, submisi, dan kegiatan lain yang berhubungan dengan konferensi.Pentingnya pengukuran kualitas pada website menjadi tolak ukur dalam meningkatkan kinerja sesuai dengan visi dan misi dari penerapan website. Pada penelitian ini, penulis merancang sistem informasi pada konferensi internasional berbasis website. Metodologi pengembangan website yang digunakan dalam penelitian ini adalah Software Development Life Cycle (SDLC). Metode pengujian kualitas website menggunakan 4 metode pengujian, diantaranya Alpha Test, SUS, UAT, dan UEQ. Sistem ini menghasilkan sistem informasi konferensi internasional berbasis website yang bekerja dengan baik dengan hasil pengujian alpha test sebesar 92%, menampilkan informasi yang sesuai dengan hasil pengujian SUS sebesar 73%, dapat diterima masyarakat dan layak ditunjukkan dari hasil pengujian UAT sebesar 75%, dan pengujian User Experience (UX) mendapatkan penilaian yang masuk ke dalam kategori “baik” dari hasil pengujian UEQ.
Ekstraksi Logis Forensik Mobile pada Aplikasi E-Commerce Android Anwar, Nuril; Akbar, Son Ali; Azhari, Ahmad; Suryanto, Imam
Mobile and Forensics Vol 2, No 1 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v2i1.1791

Abstract

Pesatnya perkembangan aplikasi android, terutama aplikasi di bidang e-commerce dan transaksi jual beli online yang populer di Indonesia, memaksa pengguna untuk memberikan izin untuk menggunakan fitur dan layanan aplikasi selama pemasangan dan pasca pemasangan. Kurangnya pemahaman pengguna akan resiko dari izin akses yang diminta oleh aplikasi sebelum atau setelah melakukan instalasi menjadikan celah pada keamanan data pengguna untuk mengakses fitur pada perangkat smartphone seperti kamera, media penyimpanan, kontak, akun dan fitur lainnya. Logical Extraction Method menjadi metode yang digunakan untuk mendapatkan data aplikasi dengan mengakusisi seluruh data file sistem pada smartphone menggunakan bantuan tools MOBILedit Forensic, TWRP (Team Win Recovery Project), dan Aplikasi Migrate. Akusisi data dari masing-masing aplikasi akan diambil Android Package File (APK) yang digunakan untuk proses analisis secara statis dengan menggunakan Tools Forensic MobSF (Mobile Security Framework). Berdasarkan hasil analisis yang dilakukan pada tiga aplikasi teratas e-commerce terdapat 51 izin akses dan dari tiga aplikasi e-commerce terpopuler di Indonesia dengan tingkat keamanan paling berbahaya dengan 49 izin akses, 7 izin akses normal dan 1 izin akses tanda tangan. Aplikasi lazada terdapat 21 izin akses berbahaya yang tidak diketahui pengguna sedangkan aplikasi Tokopedia terdapat 4 izin akses berbahaya yang tidak diketahui pengguna dan aplikasi Blibli.com terdapat 1 izin akses berbahaya yang tidak diketahui pengguna. Berdasarkan temuan celah keamanan dapat disimpulkan bahwa aplikasi e-commerce yang digunakan oleh penggunanya memungkinkan pula disisipi sebuah malware atau virus sejenis yang berpeluang dalam penggambilan data pribadi penggunanya.  The rapid development of android applications, especially applications in the field of e-commerce and online buying and selling transactions that are popular in Indonesia, force users to give permission to use the features and services of the application during installation and post-installation. Lack of user understanding of the risk of access permissions requested by the application before or after installation creates a gap in the user's data security to access features on smartphone devices such as cameras, storage media, contacts, accounts, and other features. Logical Extraction Method is a method used to obtain application data by acquiring all system file data on smartphones using the help of MOBILedit Forensic tools, TWRP (Team Win Recovery Project), and Migrate Applications. Data acquisition from each application will be taken by Android Package File (APK) which is used for the static analysis process using Tools Forensic MobSF (Mobile Security Framework). Based on the results of an analysis conducted on the top three e-commerce applications there are 51 access permits and of the three most popular e-commerce applications in Indonesia with the most dangerous level of security with 49 access permits, 7 normal access permits, and 1 signature access permit. The Lazada application has 21 dangerous access permits that the user does not know while the Tokopedia application has 4 dangerous access permits that the user does not know and the Blibli.com application has 1 dangerous access permit that the user does not know about. Based on the findings of a security hole, it can be concluded that the e-commerce application used by its users also allows the insertion of a malware or virus that has the opportunity to capture the user's personal data.
Probabilitas Bernoulli Untuk Cluster Status Sekolah Menengah Atas Di Indonesia Purwaningsih, Tuti; Azhari, Ahmad; Purnaramadhan, Riza
Mobile and Forensics Vol 2, No 1 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v2i1.1953

Abstract

Di pedesaan, biasanya sekolah negeri begitu banyak diminati karena biaya pendidikan yang relatif terjangkau. Namun pada kenyataan, banyak orang tua memilih sekolah swasta untuk mendapatkan fasilitas belajar lebih nyaman baik dari sekolah maupun dari pengajarnya. Unsur-unsur pendidikan menjadi penentu keberhasilan proses peningkatan mutu pendidikan dalam pencapaian tujuan pendidikan di satuan pendidikan. Penelitian ini bertujuan untuk mendeteksi pembagian cluster terkait jumlah sekolah negeri dan swasta tingkat sekolah menengah atas tiap provinsi di Indonesia dengan menerapkan model probabilitas Bernoulli. Berdasarkan analisis yang sudah dilakukan dapat disimpulkan bahwa persebaran cluster menggunakan model probabilitas Bernoulli pada jumlah sekolah negeri tingkat menengah atas di indonesia memiliki 5 cluster dan banyak tersebar di bagian Indonesia wilayah tengah dan timur. Sedangkan pada jumlah sekolah swasta tingkat menengah atas di indonesia memiliki 6 cluster dan banyak tersebar di bagian pulau jawa. Provinsi-provinsi yang masuk ke wilayah cluster tersebut berarti memiliki karakteristik yang mirip yang dimilikinya sehingga mengelompok kedalam satu kelompok yang sama. In rural areas, public schools are usually in great demand because of the relatively affordable costs of education. But in fact, many parents choose private schools to get more comfortable learning facilities from both the school and the teachers. The elements of education are the determinants of the success of the process of improving the quality of education in achieving educational goals in educational units. This study aims to detect the division of clusters related to the number of public and private high school level schools in each province in Indonesia by applying the Bernoulli probability model. Based on the analysis that has been done, it can be concluded that the distribution of clusters using the Bernoulli probability model is that the number of senior high school public schools in Indonesia has 5 clusters and many are scattered in the central and eastern parts of Indonesia. Meanwhile, the number of high school private schools in Indonesia has 6 clusters and many are scattered in parts of the island of Java. Provinces that are included in the cluster area mean that they have similar characteristics so that they are grouped into the same group.
Visualisasi Informasi Website International Conference Berdasarkan Web-Quality Framework Pangistu, Lalu Arfi Maulana; Azhari, Ahmad; Aktawan, Agus
Mobile and Forensics Vol. 1 No. 2 (2019)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v1i2.1282

Abstract

Konferensi merupakan pertemuan yang bertujuan untuk bertukar pendapat mengenai suatu masalah yang dihadapi bersama. Dengan adanya perkembangan teknologi membuat manusia berfikir untuk dapat bekerja lebih efektif dan efisien. Salah satunya yaitu membuat sistem konvensional menjadi sistem yang terkomputerisasi. Dengan memanfaatkan fasilitas website yang ke internet, pihak penyelenggara konferensi dapat lebih efektif untuk melakukan penyebaran informasi, registrasi, submisi, dan kegiatan lain yang berhubungan dengan konferensi.Pentingnya pengukuran kualitas pada website menjadi tolak ukur dalam meningkatkan kinerja sesuai dengan visi dan misi dari penerapan website. Pada penelitian ini, penulis merancang sistem informasi pada konferensi internasional berbasis website. Metodologi pengembangan website yang digunakan dalam penelitian ini adalah Software Development Life Cycle (SDLC). Metode pengujian kualitas website menggunakan 4 metode pengujian, diantaranya Alpha Test, SUS, UAT, dan UEQ. Sistem ini menghasilkan sistem informasi konferensi internasional berbasis website yang bekerja dengan baik dengan hasil pengujian alpha test sebesar 92%, menampilkan informasi yang sesuai dengan hasil pengujian SUS sebesar 73%, dapat diterima masyarakat dan layak ditunjukkan dari hasil pengujian UAT sebesar 75%, dan pengujian User Experience (UX) mendapatkan penilaian yang masuk ke dalam kategori "baik" dari hasil pengujian UEQ.
Ekstraksi Logis Forensik Mobile pada Aplikasi E-Commerce Android Anwar, Nuril; Akbar, Son Ali; Azhari, Ahmad; Suryanto, Imam
Mobile and Forensics Vol. 2 No. 1 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v2i1.1791

Abstract

Pesatnya perkembangan aplikasi android, terutama aplikasi di bidang e-commerce dan transaksi jual beli online yang populer di Indonesia, memaksa pengguna untuk memberikan izin untuk menggunakan fitur dan layanan aplikasi selama pemasangan dan pasca pemasangan. Kurangnya pemahaman pengguna akan resiko dari izin akses yang diminta oleh aplikasi sebelum atau setelah melakukan instalasi menjadikan celah pada keamanan data pengguna untuk mengakses fitur pada perangkat smartphone seperti kamera, media penyimpanan, kontak, akun dan fitur lainnya. Logical Extraction Method menjadi metode yang digunakan untuk mendapatkan data aplikasi dengan mengakusisi seluruh data file sistem pada smartphone menggunakan bantuan tools MOBILedit Forensic, TWRP (Team Win Recovery Project), dan Aplikasi Migrate. Akusisi data dari masing-masing aplikasi akan diambil Android Package File (APK) yang digunakan untuk proses analisis secara statis dengan menggunakan Tools Forensic MobSF (Mobile Security Framework). Berdasarkan hasil analisis yang dilakukan pada tiga aplikasi teratas e-commerce terdapat 51 izin akses dan dari tiga aplikasi e-commerce terpopuler di Indonesia dengan tingkat keamanan paling berbahaya dengan 49 izin akses, 7 izin akses normal dan 1 izin akses tanda tangan. Aplikasi lazada terdapat 21 izin akses berbahaya yang tidak diketahui pengguna sedangkan aplikasi Tokopedia terdapat 4 izin akses berbahaya yang tidak diketahui pengguna dan aplikasi Blibli.com terdapat 1 izin akses berbahaya yang tidak diketahui pengguna. Berdasarkan temuan celah keamanan dapat disimpulkan bahwa aplikasi e-commerce yang digunakan oleh penggunanya memungkinkan pula disisipi sebuah malware atau virus sejenis yang berpeluang dalam penggambilan data pribadi penggunanya. The rapid development of android applications, especially applications in the field of e-commerce and online buying and selling transactions that are popular in Indonesia, force users to give permission to use the features and services of the application during installation and post-installation. Lack of user understanding of the risk of access permissions requested by the application before or after installation creates a gap in the user's data security to access features on smartphone devices such as cameras, storage media, contacts, accounts, and other features. Logical Extraction Method is a method used to obtain application data by acquiring all system file data on smartphones using the help of MOBILedit Forensic tools, TWRP (Team Win Recovery Project), and Migrate Applications. Data acquisition from each application will be taken by Android Package File (APK) which is used for the static analysis process using Tools Forensic MobSF (Mobile Security Framework). Based on the results of an analysis conducted on the top three e-commerce applications there are 51 access permits and of the three most popular e-commerce applications in Indonesia with the most dangerous level of security with 49 access permits, 7 normal access permits, and 1 signature access permit. The Lazada application has 21 dangerous access permits that the user does not know while the Tokopedia application has 4 dangerous access permits that the user does not know and the Blibli.com application has 1 dangerous access permit that the user does not know about. Based on the findings of a security hole, it can be concluded that the e-commerce application used by its users also allows the insertion of a malware or virus that has the opportunity to capture the user's personal data.
Probabilitas Bernoulli Untuk Cluster Status Sekolah Menengah Atas Di Indonesia Purwaningsih, Tuti; Azhari, Ahmad; Purnaramadhan, Riza
Mobile and Forensics Vol. 2 No. 1 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v2i1.1953

Abstract

Di pedesaan, biasanya sekolah negeri begitu banyak diminati karena biaya pendidikan yang relatif terjangkau. Namun pada kenyataan, banyak orang tua memilih sekolah swasta untuk mendapatkan fasilitas belajar lebih nyaman baik dari sekolah maupun dari pengajarnya. Unsur-unsur pendidikan menjadi penentu keberhasilan proses peningkatan mutu pendidikan dalam pencapaian tujuan pendidikan di satuan pendidikan. Penelitian ini bertujuan untuk mendeteksi pembagian cluster terkait jumlah sekolah negeri dan swasta tingkat sekolah menengah atas tiap provinsi di Indonesia dengan menerapkan model probabilitas Bernoulli. Berdasarkan analisis yang sudah dilakukan dapat disimpulkan bahwa persebaran cluster menggunakan model probabilitas Bernoulli pada jumlah sekolah negeri tingkat menengah atas di indonesia memiliki 5 cluster dan banyak tersebar di bagian Indonesia wilayah tengah dan timur. Sedangkan pada jumlah sekolah swasta tingkat menengah atas di indonesia memiliki 6 cluster dan banyak tersebar di bagian pulau jawa. Provinsi-provinsi yang masuk ke wilayah cluster tersebut berarti memiliki karakteristik yang mirip yang dimilikinya sehingga mengelompok kedalam satu kelompok yang sama. In rural areas, public schools are usually in great demand because of the relatively affordable costs of education. But in fact, many parents choose private schools to get more comfortable learning facilities from both the school and the teachers. The elements of education are the determinants of the success of the process of improving the quality of education in achieving educational goals in educational units. This study aims to detect the division of clusters related to the number of public and private high school level schools in each province in Indonesia by applying the Bernoulli probability model. Based on the analysis that has been done, it can be concluded that the distribution of clusters using the Bernoulli probability model is that the number of senior high school public schools in Indonesia has 5 clusters and many are scattered in the central and eastern parts of Indonesia. Meanwhile, the number of high school private schools in Indonesia has 6 clusters and many are scattered in parts of the island of Java. Provinces that are included in the cluster area mean that they have similar characteristics so that they are grouped into the same group.
K-Means for Majoring Informatics Students' Interests Based on Brainwave Signals Robin, Qori Aulia; Azhari, Ahmad
Mobile and Forensics Vol. 5 No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v5i1.6629

Abstract

This study investigates the potential of utilizing EEG (electroencephalogram) as a determinant for the specialization choices of Informatics students. EEG, measuring brain activity patterns, is employed to discern majors of interest among students. A questionnaire revealed that some students opt for specializations due to class availability and peer influence, leading to potential mismatches between their abilities and interests, consequently affecting their final project or thesis. EEG data from 30 respondents, recorded using NeuroSky Mindwave and MyndPlayer Pro software, were subjected to K-Means Clustering after feature extraction through PCA. However, the evaluation using Silhouette indicated a low score of 0.453, possibly due to significant distance between cluster data and centroids, minimal dataset size, and random respondent selection without considering their specific areas of interest. This suggests limitations in using EEG alone for determining specialization choices, necessitating further refinement and integration with additional factors for more accurate predictions.
Improved Breadth First Search For Public Transit Line Search Optimization Kartoirono, Suprihatin; Riadi, Imam; Furizal, Furizal; Azhari, Ahmad
Mobile and Forensics Vol. 5 No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v5i1.7906

Abstract

People in general find it difficult to determine the transportation route, because to get to one destination there are many alternative paths that must be passed. This study aims to model the search for alternative bus route routes that are faster to produce routes that must be passed. The method used in this study is Improved Breadth first search by modifying BFS so that its performance is improved in producing route search completion. The improved BFS method is basically the same as BFS doing a level-by-level search stop if a false finish point is found. As the experiment above with a starting point of 175 and an end point of 54 the BFS algorithm takes 27 seconds 564 milliseconds, while the Improve BFS algorithm takes 171 milliseconds. The results showed that improved BFS can improve the performance of the BFS method. Research can be a model to be applied to other optimal route finding cases.
Development of Mandarin Education Quiz Game Using Android-Based Multimedia Development Life Cycle Topani, Muhammad Alfikri Maida; Azhari, Ahmad
Mobile and Forensics Vol. 5 No. 2 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v5i2.7947

Abstract

Mandarin is a language that is widely spoken and studied by people all over the world. Parents who start enrolling their children in Mandarin language courses from an early age with the hope that their children will become accustomed and proficient in using Mandarin. However, for elementary school children, the difficulty of constructing sentences in Mandarin is a major obstacle for children in the process of learning Mandarin. The purpose of this research is to create a unity-based mandarin quiz educational game application that is useful as an alternative media in the learning process to make it easier to learn. which is useful for a. Help make it easier for tutors in learning activities teaching by utilizing media technology in the form of Android-based educational games. Help students learn Chinese HSK material with a happy feeling and don't feel bored, because the content in the educational game "Mandarin Quiz" is displayed in an attractive way with audio, animation, and games on an Android smartphone. Helping children's enthusiasm for learning to know Mandarin. System development for users will be developed using the Multimedia Development Life Cycle (MDLC) methodology. Each step or stage of this method is suitable for system development in multimedia applications and these stages can swap positions according to research needs. It is hoped that the results of testing and designing the Mandarin Quiz educational game application using Unity 2D can be further developed so that this application can help increase interest in learning. The test results and feasibility of this educational game used the Usability Scale System (SUS) which consisted of 46 functions with 10 questions, the final test result was obtained with a score of 88, so that the mandarin quiz educational game was declared acceptable.
EEG Classification for Brain Response Analysis through University Website Interface in Yogyakarta Using Naive Bayes and KNN Suhail, Faiq; Azhari, Ahmad
Mobile and Forensics Vol. 6 No. 1 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v6i1.9056

Abstract

One of the challenges high school students face is the abundant availability of information about various campuses through different media, making it difficult to accurately predict their interest in a particular campus. Electroencephalogram (EEG) technology can read human brain activity, such as when students access information on a campus website. The Naive Bayes and K-Nearest Neighbor (KNN) methods can be employed to predict student interest in a campus based on EEG signals recorded while they browse the official campus website. Naive Bayes is known for achieving high accuracy with small datasets, whereas KNN excels at classifying noisy data. These two methods offer variables that can be directly compared. Classification using Naive Bayes and KNN achieved the highest accuracy score of 92%. The most appropriate algorithm is determined by evaluating performance using a confusion matrix. In this case study, Naive Bayes slightly outperformed KNN, as evidenced by precision, recall, and f1-score matrices. The Naive Bayes method resulted in an F1-score of 94%, compared to KNN’s 92%.
Co-Authors Abbas, Moch Anwar Adhi Prahara, Adhi Adys, Himala Praptami Affan, Dhava Chairul Agus Aktawan, Agus Ahmad Barizi Ali, Raden Muhammad Ammattulloh, Fathia Irbati Ammatulloh, Fathia Irbati Ammatulloh, Fathia Irbati Anantatama, Surya Andi Kamariah Arief, Husniah Arif Wirawan Muhammad Arwinsyah Arwinsyah, Arwinsyah Asfah, Indrawaty Ashabul Kahfi Susanto Asriati Ayu .H, Sendi Sandra Azhari, Cindy Azwar Abbas Bakri Muhammad Bakhiet Budiarti, Gita Indah Citra Prasiska Puspita Tohamba, Citra Prasiska Puspita Danial Hilmi Darmawansyah Alnur, Rony Darmiany Destiyanti, Intan Dharma Ariawan, Ade Djumhur, Adang Dwi Hastuti Dwi Normawati, Dwi Dwiza Riana Dzaki , Arif Rahman Edy Setyawan Eirene, Jessica Endo, Hiroyuki Endri Junaidi, Endri Enok Sureskiarti Fadlansyah, Holy Faizah Faizah Fariza, Riska Fauzan Hari Sudding Fika Novatiana Foozy, Cik Feresa Mohd Furizal, Furizal Gesbi Rizqan Rahman Arief Hadi Saputra Hadi, Muhammad Saepul Hafizh, Achmad Nur Hafizh, Muhammad Naufal Hajar, Andi Hardianti Hardianti, Hardianti Hewiz, Alya Shafira Himala Praptami Adys Husniati Husniati, Husniati Imam Riadi Insan Kamil Sinaga Ismail Ismail Jamilah Jamilah Jaya, Erlangga Jefree Fahana Kamal, Mustapa Kamal, Sofia Kamariah, Andi Kartoirono, Suprihatin Khosyi'ah, Siah Kusaka, Satoshi Kyswantoro, Yunita Firdha Lubis, Dhian Wahyudi Mahmuddin Adriansyah Milkhatun, Milkhatun Muhammad Fahri Jaya Sudding Muhammad Kunta Biddinika Murein Miksa Mardhia Musdalifah Musdalifah Musdalifah Nabila, Ai Negara, Candra Putra nisa, Anisa Shahratul Jannah Nugroho, Prasetiyanto Nur Fatimah Nur Robiah Nofikusumawati Peni Nurfitrah Nuril Anwar, Nuril Octaviantara, Adi Pangistu, Lalu Arfi Maulana Purnaramadhan, Riza Putri, Zelza Alifvia Samudera RAMADAN, RIZKY Robin, Qori Aulia Rosyid A.A, Achmad Rully Charitas Indra Prahmana Safitri, Bunga Safitri, Citra Dwi Sahadi, Syah Reza Pahlevi Sembiring, Surya Anantatama Seny Luhriyani Sunusi Seny Luhriyani Sunusi Setiawan, Dimas Aji Son Ali Akbar Soviyah Sudding, Muhammad Fahri Jaya Sugianto Sugianto Suhail, Faiq Surya Anantatama Sembiring Suryanto, Imam Suryanto, Indra Swara, Ajie Kurnia Saputra Syaefullah, Syaefullah Syafatullah, Muhammad Rafli Syafrina Lamin, Syafrina Syahriyah, Shilfia Fadhilatul Syuhadak Syuhadak Tanikawa, Kanako Topani, Muhammad Alfikri Maida Tuti Purwaningsih, Tuti Wardoyo, Girindra Sulistiyo Zaman, Azmi Badhi'uz Zaman, Azmi Badhi’uz