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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Transformatika WARTA Emitor: Jurnal Teknik Elektro Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Sosial Ekonomi Perikanan Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Li Falah: Jurnal Studi Ekonomi dan Bisnis Islam JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Universitas Pamulang Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Nasional Komputasi dan Teknologi Informasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Ilmiah Sinus Ekspose: Jurnal Penelitian Hukum dan Pendidikan Jurnal Teknik Elektro Uniba (JTE Uniba) Indonesian Journal of Electrical Engineering and Computer Science JIKA (Jurnal Informatika) Jurnal Sistem Komputer dan Informatika (JSON) JUKI : Jurnal Komputer dan Informatika GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Journal Informatic, Education and Management (JIEM) Jurnal Teknik Informatika (JUTIF) Infotech: Jurnal Informatika & Teknologi Jurnal Pendidikan dan Teknologi Indonesia Arkus Journal of Technology and Informatics (JoTI) Jurnal Abdi Masyarakat Indonesia Waniambey: Journal of Islamic Education International Journal Software Engineering and Computer Science (IJSECS) Prosiding Konferensi Nasional PKM-CSR Jurnal Manajemen dan Teknologi Informasi Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Nasional Teknologi Komputer Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Proceeding ISETH (International Summit on Science, Technology, and Humanity) Abdi Teknoyasa Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) The Indonesian Journal of Computer Science International Journal of Computer Technology and Science International Journal of Information Engineering and Science Jurnal Al-Hikmah Way Kanan Journal of Islamic Economic Laws Jurnal Pengabdian Masyarakat Terapan Nusantara Journal of Artificial Intelligence and Information Systems Dirham: Journal of Sharia Finance and Economics Journal of Engineering, Electrical and Informatics ITEJ (Information Technology Engineering Journals) Jurnal Elektronika dan Telekomunikasi
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Universitas Muhammadiyah Surakarta
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Decision Tree Induction for Classifying the Cholesterol Levels Nugroho, Yusuf Sulistyo; Gunawan, Dedi
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2016: Proceeding ISETH (International Conference on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2384

Abstract

Cholesterol is a soft, yellow, and fatty substance produced by the body, mainly in the liver. Every day, liver produces about 800 milligrams of cholesterol which is derived from animal products, seafood, milk, and dairy products. At normal levels, cholesterol is useful for health, because it is one of the essential fats required by the body for cell formation. Meanwhile, cholesterol levels are classified into three categories: normal, high, and low. The cholesterol levels can be affected by several factors that are sometimes not widely known by common people. The objective of this study was to determine the level of significance of each factor that affects cholesterol levels and to find the value of accuracy, precision and recall of the algorithms used in decision tree induction. The selection criterions used were the information gain, gini index and gain ratio to find the level of significance of the factors that affect cholesterol levels. Variables that affect cholesterol levels divided into four types, namely gender, age, history of smoking, and history of diabetes. The result showed that the most influence factors on cholesterol levels based on training data processed using three algorithms was the history of diabetes. Meanwhile, the highest accuracy was obtained by the information gain which was 56.14%. The recall values were distributed evenly for all three algorithms, it indicated the equality of those three algorithms. The information gain and the gain ratio had equal precision values (57.58%), however, they had higher precision in compared with the gini index. In contrast, the gain ratio was higher than the information gain and the gini index concerning with the RMSE of 0.564.
Analisis Pola Pelanggaran Tata Tertib siswa untuk Meminimalisir Kasus Pelanggaran dengan Algoritma FP-Growth Firmansyah, Eka; Gunawan, Dedi
Jurnal Informatika Universitas Pamulang Vol 10 No 2 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jiup.v10i2.52258

Abstract

This research is motivated by the number of transactions in the last five years (2019–2023), 80% of students have a level of discipline violation, indicating the need for more strategic discipline. This study aims to analyze the systemic relationship between various types of participants to identify the causes of the problem. The method used in data mining is the FP-Growth algorithm, which is applied to 1,500 historical data points with a minimum support of 0.1 and a confidence level of 0.7. The analysis results show 15 significant pattern associations, with the strongest correlation between "Late → Not doing assignments" (confidence 0.83) and "Truancy → Smoking in school areas" (confidence 0.75, lift 2.5). This forms the basis for data-driven intervention recommendations, such as the implementation of the "Morning Check-in" program and the implementation of supervision in vulnerable areas, which will provide practical support to improve the effectiveness of school discipline management across schools.
Benchmarking Hyperparameter Variations on Transfer Learning Models for Coral Reefs Classification: A Case Study on Efficientnetv2 and Mobilenetv2 Bimantyoso Hamdikatama; Dedi Gunawan; Kusrini Kusrini
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 1 (2025): Februari 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i1.8792

Abstract

Abstract - Coral reef recognition using transfer learning models is a critical area of research to enhance automated monitoring and conservation efforts. This study examines the impact of hyperparameter tuning on the performance of two models, EfficientNetV2 and MobileNetV2, in recognizing coral reef conditions such as bleaching, physical damage, and algae overgrowth. Bayesian Optimization is evaluated as an automated hyperparameter tuning method alongside Grid Search, Random Search, and Manual Trial-based approaches. The results reveal that Bayesian Optimization achieves competitive accuracy (up to 0.81) and balances computational efficiency with performance, requiring fewer trials compared to manual optimization. Notably, Bayesian Optimization reduces training time while maintaining high metrics such as Precision and Specificity. These findings highlight the effectiveness of Bayesian Optimization in improving model performance for coral reef recognition, offering a reliable and efficient solution to support conservation decision-making. This approach also demonstrates potential for broader applications in classification and regression tasks.Keywords: EfficientNetV2, MobileNetV2, Optimization, Coral Reefs Abstrak - Pengenalan terumbu karang menggunakan model pembelajaran transfer adalah bidang penelitian yang penting untuk meningkatkan upaya pemantauan dan konservasi otomatis. Penelitian ini menguji dampak penyetelan hyperparameter pada kinerja dua model, EfficientNetV2 dan MobileNetV2, dalam mengenali kondisi terumbu karang seperti pemutihan, kerusakan fisik, dan pertumbuhan berlebih alga. Bayesian Optimization dievaluasi sebagai metode penyetelan hiperparameter otomatis bersama dengan Pencarian Grid, Pencarian Acak, dan pendekatan berbasis Uji Coba Manual. Hasilnya menunjukkan bahwa Bayesian Optimization mencapai akurasi yang kompetitif (hingga 0,81) dan menyeimbangkan efisiensi komputasi dengan kinerja, sehingga membutuhkan lebih sedikit uji coba dibandingkan dengan pengoptimalan manual. Selain itu, Bayesian Optimization mengurangi waktu pelatihan dengan tetap mempertahankan metrik yang tinggi seperti Presisi dan Spesifisitas. Temuan ini menyoroti efektivitas Optimasi Bayesian dalam meningkatkan kinerja model untuk pengenalan terumbu karang, menawarkan solusi yang andal dan efisien untuk mendukung pengambilan keputusan konservasi. Pendekatan ini juga menunjukkan potensi untuk aplikasi yang lebih luas dalam tugas klasifikasi dan regresi.Kata kunci: EfisienNetV2, MobileNetV2, Optimasi, Terumbu Karang
“SAKUSANTRI” : APLIKASI PEMBAYARAN SUMBANGAN PEMBINAAN PENDIDIKAN (SPP) BERBASIS WEBSITE DI RUMAH TAHFIDZ BAITUL ARQAM Ekasakti, Ganza Wajendra; Kaukaban Syarqi Nur Budiono; Tasya Indriani; Avisa Putri Rosyida; Dedi Gunawan
Abdi Teknoyasa Vol. 6 No. 2 (2025): Volume 6, Nomor 2, Desember 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Administrasi pembayaran Sumbangan Pembinaan Pendidikan (SPP) di Rumah Tahfidz Baitul Arqam masih dikelola secara manual dan sederhana. Kondisi ini menyebabkan proses administrasi rawan terjadi kesalahan pencatatan, keterlambatan, dan minim transparansi. Kegiatan pengabdian masyarakat ini bertujuan untuk mengatasi permasalahan tersebut melalui perancangan dan implementasi sistem informasi keuangan digital. Metode pelaksanaan yang digunakan adalah pendekatan kualitatif deskriptif, dengan pengumpulan data melalui observasi, wawancara, dan dokumentasi untuk menganalisis kebutuhan sistem. Solusi yang diimplementasikan adalah pengembangan sistem informasi berbasis website bernama “SakuSantri”. Hasil luaran utama dari kegiatan ini adalah aplikasi “SakuSantri” yang fungsional, yang dilengkapi berbagai fitur seperti halaman beranda (saldo dan tagihan), top-up wallet, riwayat dompet, tagihan SPP, notifikasi , serta panel admin untuk mengelola pengguna, membuat tagihan, dan melakukan konfirmasi pembayaran. Pelaksanaan program ini juga mencakup penyuluhan dan pelatihan penggunaan website kepada pengurus dan wali santri pada 6 September 2025. Implementasi “SakuSantri” ini diharapkan dapat mengubah proses bisnis manual di Rumah Tahfidz Baitul Arqam menjadi sistem digital yang lebih efektif, efisien, transparan, serta meminimalkan risiko kesalahan pencatatan dan redundancy data.
Unveiling Human Flourishing: A Maqashid Al-Shariah Based Human Development Index in Indonesia Gunawan, Dedi; Amal, Muhammad Ahsanul; Choiri, Miftakhul
Dirham: Journal of Sharia Finance and Economics Vol. 1 No. 2 (2025): July
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/josfe.v1i2.3812

Abstract

Purpose: This study investigates the influence of the Maqashid al-Shariah framework—covering the protection of religion (Hifzu al-Din), life (Hifzu al-Nafs), intellect (Hifzu al-Aql), progeny (Hifzu al-Nasl), and property (Hifzu al-Mal)—on Indonesia's Human Development Index (HDI). Methodology: The study employs a qualitative approach, using Eviews-12 software for data analysis, particularly utilizing panel data regression techniques. The sample comprises eight Indonesian provinces: Papua, West Papua, East Nusa Tenggara, West Sulawesi, West Kalimantan, West Nusa Tenggara, North Maluku, and Gorontalo, covering the years 2019-2022. Results: The analysis reveals that the protection of religion (Hifzu al-Din) and intellect (Hifzu al-Aql) significantly affect Indonesia's HDI. However, the protection of life (Hifzu al-Nafs), offspring (Hifzu al-Nasl), and property (Hifzu al-Mal) do not show statistically significant direct impacts on HDI. Conclusion: This study concludes that Maqashid al-Shariah’s framework, specifically religion and intellect protection, plays a significant role in enhancing HDI. This research highlights the relevance of integrating Islamic values into human development measures. Limitations: A limitation of this study is the reliance on data from only eight provinces, which may not represent the broader context of Indonesia. Contribution: This research offers a novel perspective by applying the Maqashid al-Shariah framework to assess human development indicators in Indonesian provinces, contributing to the development of an Islamic approach to human development.
Implementation of The Topsis Algorithm In A Car Purchase Decision-Making System Viki Julian Avinda Nur Ependi; Dedi Gunawan
Journal of Technology and Informatics (JoTI) Vol. 8 No. 1 (2026): Vol. 8 N. 1 (2026)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v8i1.1272

Abstract

Private vehicles such as cars and motorcycles are crucial modes of transportation for the movement of goods and people. With technological advancements, car manufacturers offer a wide range of vehicles. Therefore, prospective buyers face challenges in selecting a vehicle that best suits their preferences and criteria. To tackle the issue, this study develops a practical decision support system (DSS) as a user-friendly tool for buyers, with theoretical contributions in the form of a more adaptive TOPSIS application and systematic analysis in car selection. This study focuses on collecting car-related data using 12 criteria, such as price, fuel consumption, safety, and design. The TOPSIS method is then normalized to ensure a fair and objective comparison between criteria. The results show the top alternative ranking, Suzuki 2002 (closeness score of 0.7089 in position 1), and the SUS test result of 85.6, indicating that the system is easy to use and capable of providing recommendations that align with user preferences. Therefore, this study highlights that the TOPSIS method can be an effective tool in supporting car purchase decision-making and making it easier for prospective buyers to choose the car that best suits their needs.
Penegakan Hukum Tindak Pidana Pemilu Pemberian Suara Lebih dari Satu Kali: (Studi Putusan Nomor 99/Pid.Sus/2024/PN.Sdn) Rusli, Tami; Dedi Gunawan
Ekspose: Jurnal Penelitian Hukum dan Pendidikan Vol. 25 No. 1 (2026): JUNI
Publisher : Institut Agama Islam Negeri (IAIN) Bone

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30863/ekspose.v25i1.11354

Abstract

Election violations in the form of casting more than one vote constitute a serious offense that undermines democratic integrity and the principle of one person, one vote, one value. This crime becomes more severe when it is intentionally committed by individuals who possess access and authority within the voting process. This study aims to analyze the factors causing election crimes involving multiple voting during the voting process and to examine their law enforcement based on Decision Number 99/Pid.Sus/2024/PN.Sdn. The research employs normative juridical and empirical approaches, with data collected through literature review and field research and analyzed qualitatively. The findings indicate that internal factors include the perpetrator’s intent, abuse of authority as a member of the Polling Station Working Committee (KPPS), low legal awareness and electoral ethics, and personal interests. External factors consist of weak supervision during voting, suboptimal polling station management, and a permissive culture toward election violations. Law enforcement against this crime was conducted through the Integrated Law Enforcement Center (Gakkumdu), involving the Election Supervisory Body, the Police, and the Prosecutor’s Office, resulting in a court verdict imposing a sentence of three months’ imprisonment and a fine of IDR 5,000,000 with one month subsidiary imprisonment. This decision provides legal certainty and reinforces the integrity of election administration.     Pelanggaran Pemilu berupa pemberian suara lebih dari satu kali merupakan perbuatan yang mencederai integritas demokrasi dan prinsip one person, one vote, one value. Tindak pidana ini menjadi semakin serius apabila dilakukan dengan sengaja oleh pihak yang memiliki akses dan kewenangan dalam proses pemungutan suara. Penelitian ini bertujuan untuk menganalisis faktor penyebab terjadinya tindak pidana Pemilu berupa pemberian suara lebih dari satu kali pada waktu pemungutan suara serta penegakan hukumnya berdasarkan Putusan Nomor 99/Pid.Sus/2024/PN.Sdn. Metode penelitian yang digunakan adalah pendekatan yuridis normatif dan empiris, dengan pengumpulan data melalui studi pustaka dan studi lapangan, yang dianalisis secara kualitatif. Hasil penelitian menunjukkan bahwa faktor internal meliputi unsur kesengajaan pelaku, penyalahgunaan kewenangan sebagai anggota KPPS, rendahnya kesadaran hukum dan etika kepemiluan, serta adanya kepentingan pribadi. Faktor eksternal meliputi lemahnya pengawasan saat pemungutan suara, tata kelola TPS yang belum optimal, serta budaya permisif terhadap pelanggaran Pemilu. Penegakan hukum terhadap tindak pidana tersebut telah dilaksanakan melalui mekanisme Sentra Penegakan Hukum Terpadu (Gakkumdu) yang melibatkan Bawaslu, Kepolisian, dan Kejaksaan, dan berujung pada pemidanaan oleh pengadilan berupa pidana penjara 3 (tiga) bulan dan denda Rp5.000.000,00 subsidair 1 (satu) bulan kurungan, sehingga memberikan kepastian hukum dan memperkuat integritas penyelenggaraan Pemilu.
Education on Making Dishwashing Liquid Soap and Ecoprint Pounding for the Empowerment of PCM and PCNA Cadres in Kebakkramat Siti Fatimah; Ahmad M. Fuadi; Akida Mulyaningtyas; Kun Harismah; Dedi Gunawan
GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2026): GANDRUNG: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Olahraga dan Kesehatan, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/gandrung.v7i1.7318

Abstract

The Muhammadiyah Branch Management (PCM) and Nasyiatul 'Aisyiyah Branch Management (PCNA) of Kebakkramat are organizations that are active in social, religious, and cadre development activities in Karanganyar. The challenges of regeneration and strengthening cadre activities have driven the need for practical and relevant empowerment programs. These community service activities are carried out through creative economy training in the form of making liquid dish soap and ecoprinting as an effort to improve the skills and capacity of cadres. Liquid soap was chosen because it is a household necessity with broad business opportunities, while ecoprinting was chosen as an environmentally friendly craft skill that can be developed into products of artistic and economic value. The implementation methods included introduction, education, implementation, evaluation, and monitoring. The results of the activities showed an increase in the creativity and understanding of cadres in utilizing business opportunities based on practical skills. This activity also contributed to strengthening the association's independence and competitiveness and produced outputs in the form of scientific publications, documentation products, and potential intellectual property rights (IPR). This program is expected to be a strategic step in strengthening cadre capacity and supporting sustainable community empowerment.
Analisis Sentimen Publik Terhadap Makan Bergizi Gratis Menggunakan Bi-LSTM dan IndoBERT Almira Putri Wibowo; Dedi Gunawan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9458

Abstract

Program Makan Bergizi Gratis (MBG) yang direncanakan pemerintah pada tahun 2024 menjadi perbincangan luas di media sosial, khususnya Twitter dan TikTok, dengan beragam opini yang mencerminkan persepsi publik terhadap implementasinya. Penelitian ini bertujuan menganalisis sentimen masyarakat terhadap Program Makan Bergizi Gratis menggunakan pendekatan deep learning. Data dikumpulkan melalui metode crawling dan scraping dari Twitter dan TikTok, menghasilkan 7.341 data setelah proses data cleaning. Pelabelan dilakukan menggunakan dua pendekatan, yaitu pelabelan manual dan pelabelan otomatis berbasis IndoBERTweet. Penelitian ini membandingkan kinerja dua model, yaitu Bidirectional Long Short-Term Memory (Bi-LSTM) dan IndoBERT, dengan variasi learning rate 3e-5 dan 5e-5. Hasil eksperimen menunjukkan bahwa IndoBERT secara konsisten menghasilkan performa yang lebih baik dibandingkan Bi-LSTM pada kedua metode pelabelan. Konfigurasi optimal diperoleh pada pelabelan otomatis dengan learning rate 3e-5 yang mencapai akurasi 82% dan F1-Score 79%. Hasil analisis juga menunjukkan bahwa sentimen publik terhadap Program Makan Bergizi Gratis didominasi oleh sentimen negatif. Selain itu, dikembangkan aplikasi web berbasis Flask untuk prediksi sentimen secara real-time. Penelitian ini diharapkan dapat menjadi acuan dalam pengembangan analisis sentimen bahasa Indonesia yang lebih efektif dan akurat.
Sistem Manajemen Stok Percetakan Menggunakan Algoritma FIFO dan Model Martingale Berbasis Web safridha Audi Apriliasunfity; Dedi Gunawan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9464

Abstract

Perkembangan teknologi informasi mendorong usaha percetakan untuk meningkatkan efisiensi operasional melalui sistem berbasis website. Namun, CV 2 Audi Digital Printing masih mengelola pemesanan dan persediaan bahan baku secara manual, sehingga menyebabkan pencatatan kurang akurat, potensi selisih stok, dan keterlambatan pemesanan bahan saat permintaan meningkat. Penelitian ini bertujuan merancang dan mengimplementasikan sistem pemesanan dan menajemen bahan percetakan berbasis website yang mengintegrasikan algoritma First In First Out (FIFO) dan Martingale Model dalam manajemen stok serta dilengkapi Early Warning System berbasis notifikasi WhatsApp. Sistem dikembangkan menggunakan metode Software Development Life Cycle (SDLC) dengan pendekatan Waterfall. Hasil penelitian menunjukkan bahwa sistem mampu mengelola pemesanan dan persediaan bahan baku secara terintegrasi serta memberikan notifikasi otomatis saat stok mendekati batas minimum. Pengujian Black Box menunjukkan seluruh fungsi sistem berjalan dengan baik, sedangkan evaluasi System Usability Scale (SUS) menghasilkan skor rata-rata 79 dengan kategori Good, yang menandakan sistem layak digunakan dan mampu meningkatkan efisiensi operasional usaha percetakan.
Co-Authors Afrizal Putra Pratama Ahimsa Prana Aditya Ahmad M. Fuadi Ahmad Rozin Ahmad. M Fuadi Ahmada Aulia Rahman Ahsanul Amal, Muhammad Ahyana Ilham Wibisono Aisyah Mutia Dawis Aji Ari Adam Akbar, Yuma Akida Mulyaningtyas Al Farisi, Mu'taz Aldafi Prana Tantri Alfian Yulianto Ali Zainal Abidin Almira Putri Wibowo amal, Muhammad ahsanul Amri Zadi Hudaya Anas Faridrahman Anfaisa, Anfaisa Ibnu Danar Dana Annisa Kusumastuti Apriliana, Cindi Dila Ardhani, Rahmad Ariefin Nur Hidayat Arif Surya Kusuma Arini Nur Rohmah Arrijal Amar Ma'ruf ASRORI, M ACHMAD Avifah Hasna Nur Fadila Avisa Putri Rosyida Awwal, Salsabil Nuuril Ayu Putri Wardhani Badrus Zaman, Akhmad Roja Bambang Sukoco Basuki, Sucipto Bimantyoso Hamdikatama Budi Santoso Cahyaningtyas S W Dadang Iskandar Mulyana` Dandi Katerpilarifai Dandung Rahmatdhan Dasim, Dasim Devi Afriyantari Puspa Putri Dewi Sasika Rani Diah Priyawati Dimas Fajar Saputro Dinda Ghebrina Putri Dita Pratama Eka Firmansyah Ekasakti, Ganza Wajendra Fahira, Dea Fahlevi, Rezza Fatah Yasin Al Irsyadi fatah yasin irsyadi, fatah yasin Feri Riski Dinata Fiktor Kurnia Tafonao Fitri Kurniawan Galardhia Zain Azzahra Gilang Sri Nayaka Goestjahjanti, Francisca Sestri Hanafi, Syafiq Mahmadah Handhika, Alfian Nova Hanggaraxsha, Irwan Harisnur, Alvian Hasyim Asyari Helmi Imaduddin Hernanda Lilih Kusumaningtyas Hernanda, Rizka Hudzaifah, Salim Maula Husein Ihsan Cahyo Utomo Ilham Adhi Septanto Islam, Syful Ismail Setiawan Istajib Kulla Himmy’azz Ita Permatahati Ivan Pradana Ivanovick Abdurrakhman Ar Raniri Jumiana Jumiana Junizal Kaukaban Syarqi Nur Budiono Kumoro, Dwi Ferdiyatmoko Cahya Kun Harismah Kurniawan, Yogiek Indra Kusrini Kusumaningrum, Fadila Aulia Kusumastuti, Annisa Lukman Hakim Luthfiana Azzalea Afifah Machsunah, Yayuk Chayatun Mahendra, Galuh Raka Meilani, Reza Miftakhul Choiri Mila Faila Sufa Minallah, Aldin Nasrun Muhammad Davit Hilal Fahri Muhammad Furqan, Muhammad Muhammad Iqbal Hafidz Muhammad Saif Muslimawati, Dinny Patria Nabil Aziz Bima Anggita Nadia, La Ode Abdul Rajab Naila Khairunnisa Nailurrachman, M. Tariq Nasor, M. Nasor Nurasiah Nurasiah Pratomo Budi Santosa Prilya Shanty Adrianie Putra, Alvino Raditya Rahman, Ahmada Auliya Rahmatika, Hamni Kamal Raka Mahendra, Galuh Ramadhan, Muhammad Rivai Putra Reza Rendian Septiawan Rifa’I , Ahmad Ritonga, Hotman Sugeng Robby Nugroho Setyawan Rohmah, Alifah Alfiatur Rosmawati Rusnilawati Sadid, Muhammad Arib Umar safridha Audi Apriliasunfity Salsabila Putri Wibowo Salsabilla Nuraini, Arwinda Sania Citra Palupi Saputra, Masud Adhi Sarimole, Frencis Matheos Septanto, Ilham Adhi Sigit Setiyanto Siti Fatimah SITI FATIMAH SOPAN ADRIANTO Sugiyono Sugiyono Sulthon Kaffaah Al Farizzi Sutisna Sutisna Suwanto Suwanto Syamsuri Tami Rusli Tasya Indriani Titis Sri Wulan Tri Agus Setiawan Tri Wahyudi Umar Ali Ahmad Verania Nur Andika Viki Julian Avinda Nur Ependi Waqiah Wibowo, Rama Aziz Widi Widayat WINANTI, WINANTI Yasir Sidiq Yogatama Dwi Prasetya Yudi Wahyu W Yusuf Sulistyo Nugroho Zia Ul Rehman Zafar Zudana , Kirana Maharani