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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) ComEngApp : Computer Engineering and Applications Journal Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian IJOG : Indonesian Journal on Geoscience Journal of Degraded and Mining Lands Management Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis JOURNAL OF HEALTHCARE TECHNOLOGY AND MEDICINE JURNAL SIPIL SAINS Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika Sumatra Journal of Disaster, Geography and Geography Education JURNAL MEDIA INFORMATIKA BUDIDARMA Chimica et Natura Acta Ilmu Budaya: Jurnal Bahasa, Sastra, Seni, dan Budaya JOURNAL OF APPLIED INFORMATICS AND COMPUTING Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Transformative Reka Buana : Jurnal Ilmiah Teknik Sipil dan Teknik Kimia Kurawal - Jurnal Teknologi, Informasi dan Industri INSIST (International Series on Interdisciplinary Research) Building of Informatics, Technology and Science Journal of Information Systems and Informatics Jurnal Sistem Komputer & Kecerdasan Buatan Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Layanan Masyarakat (Journal of Public Service) Distilat: Jurnal Teknologi Separasi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Advance Sustainable Science, Engineering and Technology (ASSET) ALACRITY : Journal Of Education Jurnal IPTEK Bagi Masyarakat Indonesian Journal of Islamic History and Culture Arus Jurnal Sosial dan Humaniora Jurnal Pemberdayaan Masyarakat Indonesia (JPMI) Journal of Social Research Prosiding Seminar Nasional Teknik Sipil UMS terAs Law Review: Jurnal Hukum Humaniter dan HAM eProceedings of Art & Design Jurnal Mahasiswa Ilmu Komputer Jurnal Multidisiplin West Science Innovative: Journal Of Social Science Research Journal of Economics and Management Scienties JURNAL PENDIDIKAN OLAHRAGA Ekonom : Jurnal Ekonomi dan Bisnis Kohesi: Jurnal Sains dan Teknologi BAKIRA: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Jurnal Ilmu Komunikasi dan Sosial Politik Journal of Physics Education and Science Peksos: Jurnal Ilmiah Pekerjaan Sosial MARAS : Jurnal Penelitian Multidisplin Jurnal Riset Ilmiah Soedirman Law Review Bayt ElHikmah: Journal of Islamic Architecture and Locality The Indonesian Journal of Computer Science Jurnal Penelitian Teknik Sipil Konsolidasi Jurnal Hukum Statuta Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) IJEFSD Almantiq INTERACTION: Jurnal Pendidikan Bahasa JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) POTENSI: Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Jurnal Pariwisata dan Budaya (RANATAYA) Nosipakabelo: Jurnal Bimbingan dan Konseling Keislaman
Muhammad Naufal, Muhammad
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Flood Tracking in the Cimeta River, West Bandung Regency Ismail, Mahesa; Naufal, Muhammad; Nurjaman, Satya Pirman; Atthoriq, Muhamad Naufal
Journal of Social Research Vol. 4 No. 9 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i8.2730

Abstract

The Cimeta River, located in West Bandung Regency, plays a vital role in the region’s hydrological system and supports the local community. However, the area is frequently affected by flooding caused by heavy rainfall, unplanned land use changes, and insufficient drainage capacity. This study aims to identify flood-prone critical points along the Cimeta River and analyze the contributing factors. A quantitative descriptive approach was applied using hydrological modeling with HEC-HMS and hydraulic analysis with HEC-RAS. Rainfall data from the past 15 years were used to estimate design flood discharges, which were then simulated to assess the river’s capacity. The results indicate that the peak discharge for a 50-year return period (Q50) is 155 m³/s, which exceeds the current river channel capacity and poses a risk of flooding in several river segments. The study recommends river normalization through dredging, channel widening, and bank reinforcement to reduce future flood risks. These findings are expected to support more effective and sustainable flood mitigation policies.
Pemberantasan Revenge Porn di Lingkungan Sekolah Menengah Atas Ditinjau dengan Hukum Positif di Indonesia Fauzan, Muhammad; Fil'Awalin, Hanif; Aulyanti, Davina Dewi; Desthabu, Meurina; A, Biyandra Timothee; Zahra, Lintang Aulia; Situmeang, Zefanya Angelica; Welgaputri, Feby; Naufal, Muhammad; Siregar, Karina Josephine; Respati, Adnasohn Aqilla; Bakhtiar, Handar Subhandi
Jurnal Hukum Statuta Vol 2 No 3 (2023): Volume 2, Nomor 3, Agustus 2023
Publisher : Fakultas Hukum Universitas Pembangunan Nasional Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35586/jhs.v2i3.5692

Abstract

Abstract Revenge Porn is booming among children or high school students who meet. More than that, there are rules for revenge porn itself in the laws and regulations. Therefore, there is a need for further research on revenge porn as a crime, the regulation of revenge porn is reviewed by Law Number 11 of 2008 concerning Information and Electronic Transactions and Law Number 12 of 2022 concerning the Crime of Sexual Violence, and to know the reporting procedure when there is a porn revenge case. The research method used is normative research with an approach to laws and regulations. The data collection method used in this research is literature study. The results of this study indicate that revenge porn is a crime if there is an intention of the perpetrator to take revenge on the victim due to several factors such as the hurt experienced by the perpetrator. In addition, there can also be coercion and extortion that can aggravate the perpetrator when it is reported by the victim. In the ITE Law, there is a provision for revenge porn which is contained in Article 27 Paragraph (3). The relevance between the ITE Law and TPKS is the opening of electronic devices in the ITE Law that can be used for the needs of victims in reporting victim evidence with the TPKS Law. The procedure for reporting porn revenge cases can be seen in the Regulation of the Head of the Indonesian Police Number 6 of 2019 concerning Criminal Investigations.
SENTIMEN ANALISIS TIM SEPAK BOLA DI PIALA ASIA 2023 BERDASARKAN PENGGUNA TWITTER (X) MENGGUNAKAN ALGORITMA MULTINOMIAL NAÏVE BAYES Naufal, Muhammad; Arifitama, Budi; Permana, Silvester Dian Handy
Kurawal - Jurnal Teknologi, Informasi dan Industri Vol 7 No 2 (2024): Jurnal Kurawal Volume 7, Nomor 2, October 2024
Publisher : Universitas Ma Chung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33479/kurawal.v7i2.1098

Abstract

Perkembangan media sosial mengubah cara kita berkomunikasi dan berinteraksi, Dimana media sosial telah menyediakan sumber data yang kaya akan opini dan persepsi dari berbagai pengguna. Dalam konteks Olahraga, sentimen analisis terhadap Tim Sepak Bola Nasional Indonesia dapat memberikan wawasan yang baik tentang dukungan persepsi publik terhadap Tim Sepak Bola Nasional Indonesia dan juga menjadi bahan evaluasi tim nasional indonesia di masa yang akan datang. Studi ini akan menghasilkan opini publik positif dan negatif pada saat kondisi tim nasional indonesia mengalami kekalahan, kemenangan dan keseluruhan selama mengikuti ajang turnamen piala asia 2023, studi ini menggunakan pendekatan algoritma Multinomial Naïve Bayes Classification (MNB) untuk mengklasifikasikan dan training data, menggunakan library Valence Aware Dictionary and sEntiment Reasoner (VADER) untuk melakukan pelabelan otomatis pada data dan Term Frequency-Inverse Document Frequency (TF-IDF) untuk mengekstraksi fitur terhadap data tim sepak bola nasional Indonesia dalam turnamen Piala Asia 2023. Algoritma MNB digunakan untuk mengklasifikasikan teks yang sudah dilabeli secara otomatis menggunakan VADER . Data untuk studi ini diperoleh melalui proses pengambilan data dari sosial media X dengan kata kunci "timnas Indonesia Piala Asia 2023" dalam rentang tanggal pada saat turnamen piala asia 2023 yaitu 12 Januari 2024 hingga 10 Februari 2024. Hasil dari studi yang dilakukan oleh penulis pada studi berjudul “Sentimen Analisis Tim Sepak Bola di Piala Asia 2023 Berdasarkan Pengguna Twitter(X) Menggunakan Algoritma Multinomial Naïve Bayes” menghasilkan akurasi yang cukup baik yaitu 81%, 79% dan 79% pada kategori Keseluruhan, Kekalahan dan Kemenangan dengan menggunakan metode evaluasi Confussion Matrix.
A Comparative Study of MobileNet Architecture Optimizer for Crowd Prediction putra, Permana langgeng wicaksono ellwid; Naufal, Muhammad; Hidayat, Erwin Yudi
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 3 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i3.5703

Abstract

Artificial intelligence technology has grown quickly in recent years. Convolutional neural network (CNN) technology has also been developed as a result of these developments. However, because convolutional neural networks entail several calculations and the optimization of numerous matrices, their application necessitates the utilization of appropriate technology, such as GPUs or other accelerators. Applying transfer learning techniques is one way to get around this resource barrier. MobileNetV2 is an example of a lightweight convolutional neural network architecture that is appropriate for transfer learning. The objective of the research is to compare the performance of SGD and Adam using the MobileNetv2 convolutional neural network architecture. Model training uses a learning rate of 0.0001, batch size of 32, and binary cross-entropy as the loss function. The training process is carried out for 100 epochs with the application of early stop and patience for 10 epochs. Result of this research is both models using Adam's optimizer and SGD show good capability in crowd classification. However, the model with the SGD optimizer has a slightly superior performance even with less accuracy than model with Adam optimizer. Which is model with Adam has accuracy 96%, while the model with SGD has 95% accuracy. This is because in the graphical results model with the SGD optimizer shows better stability than the model with the Adam optimizer. The loss graph and accuracy graph of the SGD model are more consistent and tend to experience lower fluctuations than the Adam model.
Buying Intention on Electric Cars in Jabodetabek Using Combined TAM and TPB (C-TAM-TPB) Naufal, Muhammad; Hardiana Widyastuti; Indra Refipal Sembiring; Mokhamad Syaefudin Andrianto
Jurnal Aplikasi Bisnis dan Manajemen Vol. 10 No. 1 (2024): JABM, Vol. 10 No. 1, Januari 2024
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.10.1.173

Abstract

The use of motorized vehicles in Indonesia increasing from year to year. This has impacted higher air pollution. The use of electric cars was considered to reduce air pollution. However, the use of electric cars in Indonesia still experienced obstacles. This study aimed to analyze the factors that influenced people to buy electric cars in Jabodetabek through the integration/combination of TAM (Technology Acceptance Model) and TPB (Theory of Planned Behavior) or C-TAM-TPB, which were expanded by adding variables of Price Value, Perceived Risk, Environmental Awareness, and Infrastructure Barrier. There are 200 respondents participated in the study. They are selected using non-probability sampling with purposive sampling method. The data analysis technique used descriptive analysis and SEM PLS. The results of this study indicated that perceived usefulness and perceived ease of use had a positive influence on attitude. The variables attitude, perceived behavioural control, and price value had a positive influence on the intention to buy electric cars, while subjective norm, perceived risk, environmental awareness, and infrastructure barriers had no significant effect on the intention to buy electric cars. Keywords: buying intention, C-TAM-TPB, electric car, infrastructure barriers
Pengaruh Motivasi Komunikasi Stres Kerja Terhadap Kepuasan Kerja Karyawan Naufal, Muhammad; Rafly, Muhammad Naufal
Jurnal Multidisiplin West Science Vol 3 No 07 (2024): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v3i07.1313

Abstract

Studi ini fokus pada pengaruh komunikasi stres kerja dan motivasi terhadap kepuasan kerja karyawan. Pekerja sangat berperan dalam meningkatkan produktivitas dan kepuasan di lingkungan kerja. Komunikasi yang efektif dapat mendorong kerja sama tim dan mengurangi konflik di antara karyawan. Namun, stres kerja dapat menghambat kepuasan kerja dan kesejahteraan secara keseluruhan. Data didapat melalui penggunaan kuesioner yang dibagikan kepada karyawan di berbagai industri dengan menggunakan pendekatan kuantitatif. Hasil analisis data mengatakan motivasi yang tinggi dan komunikasi yang efektif berdampak positif terhadap kepuasan dari pekerjaan. Sebaliknya stres kerja berdampak negatif pada tingkat kepuasan kerja. Temuan ini menegaskan pentingnya meningkatkan motivasi, meningkatkan praktik komunikasi, dan menerapkan strategi untuk mengelola stres kerja dengan efektif. Dengan mengatasi faktor-faktor ini, kepuasan karyawan dan kesuksesan organisasi secara keseluruhan dapat ditingkatkan.
PENGEMBANGAN MEDIA GAMIFIKASI DO OR LEARN CARD DENGAN PENDEKATAN CULTURALLY RESPONSIVE TEACHING UNTUK MENINGKATKAN MOTIVASI BELAJAR IPS PESERTA DIDIK KELAS 8D SMP LABORATORIUM UM Fariski, Aulia Isnaeni; Kurniawan, Bayu; Rahayu, Linda Zulkifa; Naufal, Muhammad
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 2 (2025): Volume 10 Nomor2, Juni 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i2.25846

Abstract

Learning motivation is an important element in the success of the educational process, especially in learning Social Sciences (IPS) which is often considered monotonous and irrelevant by students. This study aims to develop and examine the effectiveness of Do or Learn Card learning media based on gamification integrated with the Culturally Responsive Teaching (CRT) approach to increase student learning motivation. This media is designed to provide a fun, participatory learning experience that is in accordance with the cultural background of students. The CRT approach is used to ensure that learning strategies value diversity and accommodate different learning styles. This study uses a development method based on the Design Thinking framework involving five stages: empathize, define, ideate, prototype, and test. The results of the study show that the use of this media has a significant impact on increasing student learning motivation, as indicated by the results of the pretest and posttest as well as positive responses from the satisfaction questionnaire.
PERANCANGAN ALAT REAKTOR PADA PRARANCANGAN PABRIK DISPROPORTIONATED ROSIN DARI GONDORUKEM GRADE WG DENGAN KAPASITAS 3000 TON/TAHUN Fajri, Aulia Romadhona Jihad Al; Rahma, Anne; Naufal, Muhammad; Ilma, Novita; Chumaidi, Achmad; Dewi, Ernia Novika
DISTILAT: Jurnal Teknologi Separasi Vol. 10 No. 1 (2024): March 2024
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/distilat.v10i1.4957

Abstract

Potensi pinus cukup besar dan menguntungkan ditinjau dari populasi hutan pinus di Pulau Jawa yaitu sekitar 876 Ha. Salah satu hasil pengolahan pinus adalah gondorukem yang memiliki karakteristik tidak stabil dan mudah teroksidasi. Disproportionated rosin (DPR) merupakan produk inovasi dari gondorukem yang lebih stabil, tahan panas dan oksidasi serta banyak diaplikasikan sebagai adiktif untuk tinta cetak, cat, ban, dan kertas. Proses pengolahan gondorukem menjadi DPR melalui reaksi netralisasi memerlukan reaktor. Tujuan perancangan alat ini adalah mendesain reaktor pada prarancangan pabrik DPR dari gondorukem grade WG dengan kapasitas 3000 ton/tahun. Hasil perancangan reaktor berupa reaktor dengan tipe continuous stirred tank reactor dilengkapi pengaduk jenis three bladed propeller. Reaktor memiliki ukuran sebesar 444,22 m3 dengan tinggi 14,21 m, dan diameter sebesar 3,35 m. Impeller berukuran 13,11 m dengan diameter sebesar 1 m. Reaktor menggunakan desain tutup atas dan bawah berupa standard dished head dengan material penyusun yaitu stainless steel (SA 167 grade 3 type 304).   Kata kunci: disproportionated rosin, gondorukem, reaktor CSTR,
Karst Aquifer Characterization by Means of Its Karstification Degree and Time Series Analysis (Case: Ngerong Spring in Rengel Karst, East Java, Indonesia) Mujib, Muhammad Asyroful; Adji, Tjahyo Nugroho; Haryono, Eko; Naufal, Muhammad; Fatchurohman, Hendy
Indonesian Journal on Geoscience Vol. 11 No. 1 (2024)
Publisher : Geological Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17014/ijog.11.1.45-60

Abstract

The purpose of this study is to define the characteristics of the karst aquifer, which is approximated by the parameters of (1) degree of karstification (Dk) and (2) time series analysis (cross-correlation and auto-correlation). This research focuses on the Ngerong Spring, the largest spring in Rengel Karst, East Java, Indonesia. Pendant rain gauge RG-3M and HOBO U20L-02 water-level data loggers were installed over one year with a recording interval of 15 minutes. Furthermore, after one year of time-series discharge data was obtained, the discharge recession coefficient was applied to make the recession formula. It was then used to estimate the karstification degree scale from 1 to 10. The aquifer memory system and the spring response to rainfall events were analyzed by auto-correlation and cross-correlation. The results of this study indicate that the karstification degree (Dk) of the Ngerong Spring system is 4.8-5.0, with one laminar and one turbulent flow subregime type. The aquifer system comprises a subregime with turbulent and laminar flow, where the substantial role in groundwater discharge plays the subregime with laminar flow. Meanwhile, time series analysis shows that the capacity of aquifer storage in the Ngerong Spring is large enough. It has a memory effect for 26.41 days, followed by a rapid response to rainfall events within 8 hours. Compared with several other karst sites in Java, the Ngerong Spring aquifer has the youngest development level with the best storage and the slowest release.
Integrasi Convolutional Autoencoder dengan Support Vector Machine untuk Klasifikasi Varietas Almond Fadlullah, Rizal; Winarno, Sri; Naufal, Muhammad
Jurnal Teknik Informatika dan Sistem Informasi Vol 11 No 1 (2025): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v11i1.9738

Abstract

This research aims to optimize almond variety classification by integrating Convolutional Autoencoder (CAE) as a feature extraction method and Support Vector Machine (SVM) for classification. The research process includes data collection from available datasets, preprocessing, and splitting data for training and testing. Features from almond images are extracted using CAE, which are then used in the SVM model for classification. Model evaluation shows a classification accuracy of 97% on the test data, a significant increase compared to the 48% accuracy of conventional SVM. The CAE-SVM approach offers more compact and informative feature representations, effectively improving almond variety recognition. This study highlights the potential of combining CAE and SVM advantages to enhance plant image analysis and encourages further advancements in machine learning applications in agriculture.
Co-Authors ', Hamsyah A, Biyandra Timothee Abdurrahmansyah Abdurrahmansyah, Abdurrahmansyah Achmad Achmad Achmad Chumaidi, Achmad Ade Gohan, Muhammad Adrian Permana Zen Agmi, Nadia Agus Riyanto, Indra Ahmad Cahyadi **) Ahmad Suriansyah Ahsyar, Tengku Khairil Akrom, Muhamad Al Fahreza, Muhammad Daffa Al zami, Farrikh Al-Azies, Harun Alfarizky, M Ferdy Agus Alfitri, Mira Ali Asroni Ali Rakhman Hakim Alzami, Farrikh Amanda Cahyadewi, Felicia Andayan, Melia Andrean, Muhammad Niko Anggi Pramunendar, Ricardus Anggita, Ivan Maulana Anisa Anisa Aprillia Dwi Ardianti Ardiansyah, Felix Ardytha Luthfiarta Arifitama, Budi Arsy, Selma Kendida Ashari, Ayu Atthoriq, Muhamad Naufal Aulyanti, Davina Dewi Ayu Pertiwi Azka, Muhammad Azwar, Erizaldy Bayu Kurniawan Brawijaya, Kriska Brilianto, Rivaldo Mersis Budi Setiawan Budoyo, Joto Candra, Mellyana Chandra Pratama, Ragil Cinantya, Celia Darmawahyuni, Annisa Denta Saputra, Fahrizal Desthabu, Meurina Dewi Puspaningtyas Dewi, Ernia Novika Dinda Lestarini Dwi Laksono, Angga Dwi Putra, Rakhmat Eka Yuniarto Eko Haryono Endang Komariah, Endang Erwin Yudi Hidayat Fadillah Putra Fadlullah, Rizal Fahmi Amiq Fajri, Aulia Romadhona Jihad Al Fariski, Aulia Isnaeni Fatchurohman, Hendy Fathonah, Naila Izzatun Fauziah, Ismahani Febriyanto, Hendra Ferdiansyah, Muhammad Reynaldi Fil'Awalin, Hanif Firdaus Firdaus Firmansyah, Gustian Angga Ghaly, Raihan Athallah Guruh Fajar Shidik Habibi, Alif Farhan Hadi, Heru Pramono Handar Subhandi Bakhtiar Handayani, Ni Made Kirei Kharisma Hardiana Widyastuti Harisa, Ardiawan Bagus Hariyadi, Nursyifa Nada Hartono, Andhika Rhaifahrizal Harun Al Azies Hayatul Cholsy Helda Orbani Rosa Hermansyah Hidayat, Novianto Nur Hilary Reinhart Husaini Husda IDA RAHMAWATI Ika Wiani Ilma, Novita Indra Refipal Sembiring Indrawan, Michael Inggih Permana Irawan, Diki Surya Irlianda, Rahma Ismail, Mahesa Isnaini, Lisa Fajri ISWAHYUDI ISWAHYUDI Jazman, Muhammad Jun Justinar K, M. Rizal Kharisma, Ni Made Kirei Khoirunnisa, Emila Kurniawan, Anggy Tyas Kusumawati, Yupie Labib, M. Ainul Ledy Diana Listya Endang Artiani, Listya Endang Liya Umaroh, Liya Lusi Ariyani M Widyastuti Malahayatie Mallorca, Muhammad Nur Alfat Margaretha Widyastuti Marsuni, Yusriadi Marwan, Arif Masliana Masliana, Masliana Megantara, Rama Aria Miftahul Jannah Moch Anjas Aprihartha Moch. Solikin, Moch. Muhammad Asyroful Mujib Muhammad Aziz Muhammad Fachrurrozi Bafadal Muhammad fauzan MUKAROMAH MUKAROMAH Muljono Muljono Muslem, Asnawi Mylova, Rezha Willy Putra Nabila, Hilma Agisna Nasichah Nazella, Desvita Dian Ningrum, Novita Kurnia Noor Ageng Setiyanto, Noor Ageng Norma Eralita Nurhayati Nurhayati Nurjaman, Satya Pirman Nursantri Yanti Onggo, Nico Pamungkas, Bintang Putra Dwi Prabowo, Wahyu Aji Eko Prafinda Ababil, Putri Prasetyo Adi, Muhammad Wahyu Prayoga, Yegi Pulung Nurtantio Andono Puspita, Rahayuning Febriyanti Putra, Permana Langgeng Wicaksono Ellwid Putri Rachmadani, Nisa Rafid, Muhammad Rafly, Muhammad Naufal Rahayu, Linda Zulkifa Rahma, Anne Rahmah, Mulia Rajudin, Rajudin Ramadhan Rakhmat Sani Ramadhan, Fajri Rani Maharani Respati, Adnasohn Aqilla Ricardus Anggi Pramunendar Richo Kurniawan, Ibnu RISAL, SYAHLAN Riswandi, Muh Syahlan Riyanto, Indra Agus Ryazi, Inggit Dzulka Safitri, Aprilyani Nur Safitriani, Indah Sagita, Adilah Nisrina Ayu Samangi, Arfina Sari Ayu Wulandari Sarifah Putri Raflesia, Sarifah Putri Sariman, Syahrul Sa’adah, Muna Sepe, Muslimin Silalahi, Purnama Ramadani Silvester Dian Handy Permana, Silvester Dian Handy Siregar, Karina Josephine Siti Anisah Siti Nurmaini Situmeang, Zefanya Angelica Sri Sentanu, I Gede Eko Putra Sri Winarno Sudarmin Sudibyo, Usman Suharnawi Suharnawi Suhendra Sulfanita, Andi Sumartono Sutomo, Rudi Tjahyo Nugroho Adji Tomy Perdana Trihandono, Donny Trisnapradika, Gustina Alfa Ulhaq, M. Jia Umar Fakhrizal, Irsyad Wahyu Ristiawan, Angga Welgaputri, Feby Wianda, Muhammad Nabiel Augis Wibawa, Yohanes Eka Winda, Nadia Oktavia Wulandari, Wita Wulansari, Rindi Yudhistira, M Halley Zahra, Lintang Aulia Zahro, Azzula Cerliana Zami, Farrikh Al Zayn, Afta Ramadhan Zulfikar Jayakusuma