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Arif Setiawan

Universitas Muria Kudus

Author-ID : 376776

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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Enhancing Programming Learning through a Smartphone-Based Asynchronous Flipped-Learning Media Setiawan, Arif; Wahid, Burhanudin Nur; Adhisa, Ryan Rizki
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2025: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

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

Purpose: This study aims to develop and evaluate a smartphone-based asynchronous flipped-learning media application called BEST (Belajar Struktur Data) to support programming and algorithm learning in higher education during online learning conditions.Methodology: This research employed a research and development approach using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. The application was implemented with 40 Informatics Engineering Education students at Universitas Muhammadiyah Surakarta. The evaluation involved black-box testing, compatibility testing using Firebase Test Lab, expert validation using Aiken's V from two media experts and one material expert, and usability testing using the System Usability Scale (SUS).Results: The results showed that the BEST application achieved a 100% success rate in functional and compatibility testing. The Aiken's V value obtained from both media and material expert validation was 0.89, indicating that the learning media is valid and feasible. The usability evaluation produced a SUS score of 71.8%, which reflects an acceptable level of usability and high student satisfaction.Applications/Originality/Value: This study contributes an original smartphone-based asynchronous flipped-learning media specifically designed for programming education, offering a practical solution to overcome technical limitations in synchronous online learning and supporting more flexible, independent, and engaging learning experiences in higher education.

Development and Feasibility Testing of Virtual Reality Based Learning Media for Practicum in LAN and Fiber Optic Network Cabling Using the 4D Model Setiawan, Arif; Ulinnuha, Muhammad
Jurnal Penelitian Sains Teknologi Vol. 2, No. 1, March 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/saintek.v2i1.12693

This study aims to develop and evaluate the feasibility of Virtual Reality (VR)–based learning media for practicum activities in Local Area Network (LAN) and Fiber Optic (FO) cabling. The method employed was Research and Development (R&D) using the 4D development model, which consists of the Define, Design, Develop, and Disseminate stages. Three-dimensional assets were developed using Blender and integrated into Unity 3D with the C# programming language, then implemented on Oculus devices to produce an interactive and immersive virtual laboratory simulation. The feasibility testing was conducted through validation by media experts and subject-matter experts, as well as user trials employing the System Usability Scale (SUS). The results of expert validation showed a percentage of 88% from media experts and 92% from subject-matter experts, both categorized as highly feasible. User testing involving 20 students yielded an average SUS score of 70 (grade C/OK), indicating that the application is acceptable and suitable for use. The findings demonstrate that the VR media is capable of realistically visualizing the procedures of LAN cable crimping and fiber optic slicing, thereby supporting students’ conceptual understanding and practical skills. Therefore, this VR-based learning media is feasible to be utilized as an innovative alternative in computer network practicum learnin.

SENTIMENT ANALYSIS OF CUSTOMER REVIEWS ON E-COMMERCE APPLICATIONS: LAZADA, TOKOPEDIA, AND BLIBLI Ihza, Andika; Arifin, Muhammad; Setiawan, Arif
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 12 No. 2 (2026): Maret 2026
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v12i2.4422

Abstract: The rapid growth of e-commerce in Indonesia has increased consumer interactions with digital platforms, particularly Lazada, Tokopedia, and Blibli, resulting in a large volume of customer reviews that reflect consumer experiences and perceptions but have not been optimally utilized in business decision-making. The main issue addressed in this study is how to process customer review data to generate meaningful information regarding consumer opinions. This research aims to apply web scraping techniques to collect customer review data and conduct sentiment analysis to identify trends in consumer opinions across the three e-commerce platforms. The dataset consists of 3,000 customer reviews, with 1,000 reviews collected from each platform, covering aspects such as shopping experience, service quality, delivery process, and customer satisfaction. The research methodology includes data collection through web scraping, text preprocessing for data cleaning and normalization, sentiment analysis using machine learning approaches, and visualization of sentiment results. The findings indicate differences in the distribution of positive, negative, and neutral sentiments across platforms, reflecting variations in consumer experiences and service strategies. These results demonstrate that sentiment analysis based on customer reviews can serve as strategic input to improve service quality, business performance, and marketing strategies in Indonesia’s e-commerce sector. Keywords: customer reviews; digital services; e-commerce; sentiment analysis; web scarping Abstrak: Pertumbuhan pesat e-commerce di Indonesia meningkatkan interaksi konsumen dengan platform digital, khususnya Lazada, Tokopedia, dan Blibli, yang menghasilkan ulasan pelanggan dalam jumlah besar sebagai cerminan pengalaman dan persepsi konsumen, namun belum dimanfaatkan secara optimal dalam pengambilan keputusan bisnis. Permasalahan utama penelitian ini adalah bagaimana mengolah data ulasan tersebut agar dapat memberikan informasi yang bermakna mengenai opini konsumen. Penelitian ini bertujuan menerapkan web scraping untuk mengumpulkan data ulasan pelanggan serta melakukan analisis sentimen guna mengidentifikasi tren opini konsumen pada ketiga platform e-commerce tersebut. Data yang digunakan berjumlah 3.000 ulasan pelanggan, dengan masing-masing platform diwakili oleh 1.000 ulasan yang mencakup pengalaman berbelanja, kualitas layanan, proses pengiriman, dan tingkat kepuasan pelanggan. Metode penelitian meliputi pengambilan data menggunakan web scraping, pra-pemrosesan teks untuk pembersihan dan normalisasi data, analisis sentimen dengan pendekatan pembelajaran mesin, serta visualisasi hasil sentimen. Hasil penelitian menunjukkan adanya perbedaan distribusi sentimen positif, negatif, dan netral pada setiap platform, yang mencerminkan variasi pengalaman konsumen dan strategi layanan. Temuan ini menunjukkan bahwa analisis sentimen berbasis ulasan pelanggan dapat menjadi masukan strategis untuk meningkatkan kualitas layanan, kinerja bisnis, dan strategi pemasaran e-commerce di Indonesia. Kata kunci: customer reviews; digital services;e-commerce;sentiment analysis;web scarping

The Role of the Mining Sector in Regional Economic Development: A Case Study of East Kutai Regency Ismail, Ardhan; Ananda, Dea Mierela; Winarno, Agus; Oktaviani, Revia; Setiawan, Arif; Winonazada, Rety; Supriyanto, Supriyanto
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1765

This study examines the role of the mining sector in East Kutai Regency's regional economic development, where mining contributes over 40% to GRDP. An integrated analytical framework combining Input-Output analysis with overlay analysis techniques (Location Quotient, Klassen Typology, and Shift-Share) was employed to comprehensively assess the mining sector's structural position, inter-sectoral linkages, and development impact. The Input-Output analysis utilized East Kalimantan's 2016 table updated via RAS method to generate regency specific coefficients, while overlay analysis employed GRDP statistics for 2014 to 2023 to evaluate spatial concentration and competitive dynamics. Input-Output findings reveal the mining sector exhibits weak backward linkage of 1.0 and forward linkage of 0.95, positioning it in Quadrant III with minimal inter-sectoral integration and limited multiplier effects on the regional production system. Overlay analysis through Location Quotient demonstrates the mining sector's highest comparative advantage at 1.76, indicating strong export orientation and spatial concentration. However, Klassen Typology classifies it in Quadrant IV as a lagging sector with growth coefficient of 0.94 and contribution coefficient of 0.93, reflecting stagnant development performance. Shift-Share analysis within the overlay framework confirms the mining sector's severe competitiveness decline at negative 35,714.67, the worst among seventeen evaluated sectors. The convergent results from Input-Output and overlay analyses indicate the mining sector operates as an extractive enclave with insufficient value-added generation and constrained developmental spillovers. Enhancing the mining sector's developmental role requires strengthening backward and forward linkages through downstream processing facilities, local content requirements, and technology transfer mechanisms to transform the sector from an extractive enclave into an integrated regional growth driver.

IDENTIFIKASI KOHESI DAN KOHERENSI PADA TEKS DISKUSI KARYA MURID IX E DAN IX F SMP NEGERI 110 JAKARTA Setiawan, Arif; Pratiwi Tri Utami, Santi
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 1 (2026): Volume 11 No.1, Maret 2026.
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i1.42426

This study is grounded in the importance of mastering discussion text writing in Indonesian language learning at the junior secondary level, which requires cohesive and coherent organization of ideas. However, texts produced by learners still demonstrate weaknesses in semantic continuity and logical argumentation. This study aims to identify the forms and tendencies of lexical cohesion, grammatical cohesion, and coherence relations in discussion texts written by Grade IX E and IX F students of SMP Negeri 110 Jakarta. A descriptive qualitative approach was employed, with 24 discussion texts selected from 65 student compositions as the data source. Data were analyzed using reading–note-taking techniques, followed by data reduction, data display, and conclusion drawing. The findings reveal that lexical cohesion is predominantly realized through repetition (349 out of 631 data), while grammatical cohesion is mainly expressed through conjunctions (229 out of 451 data) and references. In terms of coherence, additive relations (125 out of 298 data) and causal relations (100 data) are the most dominant patterns, whereas temporal, chronological, and sequential relations are relatively limited. These findings indicate that learners tend to rely on explicit markers and linear idea development in constructing arguments. This study provides empirical contributions to strengthening instructional strategies for teaching discussion text writing, particularly in promoting varied logical relations and conceptual coherence to produce more systematic and argumentative texts.

Strategi Pengembangan Website Informasi Program Pelatihan SDM untuk Meningkatkan Literasi Digital di Indonesia Kharis Ferdiansyah; Arif Setiawan
bit-Tech Vol. 7 No. 2 (2024): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i2.1985

Indonesia menghadapi tantangan signifikan dalam meningkatkan kualitas sumber daya manusia (SDM), terutama di era digital. Tantangan ini meliputi rendahnya literasi digital, keterbatasan keterampilan teknis, serta akses informasi program pelatihan yang terbatas. Penelitian ini berfokus pada pengembangan website informatif untuk memperluas akses masyarakat terhadap program pelatihan SDM, dengan studi kasus proyek "Mentor-Match". Website ini dirancang untuk menyediakan fitur seperti pencarian program pelatihan, pembuatan profil pengguna, forum diskusi, dan notifikasi yang relevan. Proses pengembangan menggunakan teknologi web modern seperti React.js dan Next.js untuk memastikan antarmuka yang interaktif, responsif, dan ramah pengguna. Proses penelitian melibatkan analisis kebutuhan pengguna, desain antarmuka yang intuitif, pengembangan backend berbasis API, serta pengujian menyeluruh untuk memastikan performa optimal. Hasil awal menunjukkan peningkatan akses terhadap informasi pelatihan, partisipasi aktif dalam forum diskusi, serta adaptasi pengguna terhadap teknologi digital. Selain itu, platform ini berpotensi mempercepat transformasi digital, memperkuat kolaborasi antarindividu dan organisasi, serta mendukung pembangunan SDM berbasis teknologi. Studi ini menunjukkan bahwa platform digital terintegrasi dapat menjadi solusi untuk mengatasi fragmentasi informasi, mendukung peningkatan literasi digital, dan memberikan kontribusi signifikan pada pembangunan SDM Indonesia. Rekomendasi mencakup pengembangan lebih lanjut, seperti perluasan cakupan fitur, peningkatan keberlanjutan platform, dan integrasi dengan berbagai pemangku kepentingan. Dengan langkah ini, platform diharapkan mampu mendukung transformasi digital secara inklusif, membuka akses pelatihan untuk seluruh lapisan masyarakat, dan meningkatkan daya saing SDM Indonesia di pasar global.

Implementasi indoBERT dalam Analisis Sentimen Program Makan Bergizi Gratis pada Platform Media Sosial X Muhammad Mursyid; Arif Setiawan; Muhammad Arifin
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1104

The Free Nutritious Meal Program (MBG) is a strategic initiative by the Indonesian government to improve child nutrition and prevent stunting. However, its implementation has sparked diverse public opinions on social media, which are difficult to analyze manually due to the large volume of data. This study aims to identify public sentiment toward the MBG program through social media X by implementing the IndoBERT model. A total of 4,380 tweets were collected using web scraping techniques with relevant keywords between March and May 2025. The research process included preprocessing (data cleaning, stopword removal, stemming, and tokenization), semi-automatic data labeling, and data division into a 71.97% training set, 8.02% validation set, and 20.01% test set. The model used was the Indonesian RoBERTa Base Sentiment Classifier architecture, which underwent a fine-tuning process for 20 epochs. The results showed that the IndoBERT model achieved an accuracy rate of 80.11% and a weighted average F1-score of 0.8000. Negative sentiment was detected most accurately with an F1-score of 0.8301. Although effective, the model still faces challenges in handling linguistic ambiguity in neutral sentiment and the risk of overfitting. Further research is recommended to expand slang language normalization and apply stricter model regulation techniques.

Development of Moodle-based Learning Media using Blended Learning Methods in Graphic Design Subject Setiawan, Arif; Putra, Dimas Radika; Sujalwo, Sujalwo; Cahyo, Aditya Nur
IJID (International Journal on Informatics for Development) Vol. 8 No. 2 (2019): IJID December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2019.08201

This research aims to develop learning media using Moodle and apply blended learning methods to help improve the learning effectiveness of students at SMK Muhammadiyah 1 Klaten. The research method used in this research is Research and Development. The results showed the average value of media experts was 79.55% categorized as feasible category, while the material experts were 75% categorized as feasible category. Whereas the System Usability Scale (SUS) questionnaire, which could measure usability, from 32 students of SMK Muhammadiyah 1 Klaten consist of 29 Male and 3 Female Students obtained 71.25% which were categorized as acceptable category. The average test results of the students' pre-test scores were 58.75%, the post-test scores were 81.87%, an increase of 23.12%. The conclusion in this study is that learning media using Moodle-based blended learning methods are appropriate for use in basic graphic design subjects, and are effectively used to improve student understanding and learning outcomes.

Sistem Deteksi Kebocoran Gas LPG dengan Menggunakan Sensor MQ-2 berbasis Internet ot Things Surya, Lintang; Maulindar, Joni; Setiawan, Arif
Adopsi Teknologi dan Sistem Informasi (ATASI) Vol. 5 No. 1 (2026): Adopsi Teknologi dan Sistem Informasi (ATASI)
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/nb32j270

Gas sangat penting bagi kehidupan manusia, hampir semua kalangan sangat mebutuhkan gas. Selain cara penggunaannya yang simpel dan mudah, harga gas juga relatif murah sehingga hampir semua kalangan dapat menggunakannya. Dengan kata lain gas sangat dibutuhkan dalam kehidupan sehari-hari. Seiring meningkatnya penggunaan gas LPG muncullah beberapa masalah terutama pada skala rumah tangga salah satunya terjadinya kebocoran gas sehingga dapat menyebabkan kebakaran. Hal seperti ini dapat disebabkan oleh banyak faktor seperti, tabung gas yang bocor karena korosi, selang gas yang sudah tidak layak pakai, serta pemasangan regulator yang kurang tepat. Untuk mengatasi hal tersebut, maka diperlukan suatu sistem keamanan yang mampu mendeteksi kebocoran gas LPG secara dini. Sistem deteksi kebocoran gas LPG dengan menggunakan sensor MQ-2 berbasis Internet of Things ini merupakan solusi untuk mendeteksi kebocoran gas khususnya pada skala rumah tangga serta memanfaatkan smartphone sebagai alat untuk memonitor secara realtime. Sistem deteksi kebocoran gas LPG ini dikembangkan dengan metode prototyping menggunakan ESP32, sensor gas, buzzer, exhaust fan, motor servo dan aplikasi Blynk untuk memantau kondisi gas serta mengaktifkan exhaust fan dan motor servo secara manual. Berdasarkan hasil pengujian, otomatis buzzer akan mengeluarkan tanda suara dan exhaust fan akan menyala kemudian motor servo bergerak untuk membuka regulator apabila sensor gas mendeteksi adanya kebocoran gas. Exhaust fan dan motor servo dapat juga digerakkan secara manual menggunakan aplikasi Blynk. Dapat ditarik kesimpulan bahwa sistem deteksi kebocoran gas ini efektif untuk mendeteksi secara dini pada saat terjadi kebocoran gas karena selain buzzer yang mengeluarkan tanda suara, exhaust fan untuk menghisap dan membuang gas keluar ruangan juga terdapat motor servo yang bergerak membuka regulator gas.

Analisis Pola Perbaikan Ujaran (Repair Strategies) dalam Interaksi Kelas Bahasa Indonesia sebagai Bahasa Kedua di YouTube Wulandari, Nadia Putri; Mujianto, Gigit; Setiawan, Arif
Edukasi Lingua Sastra Vol 24 No 1 (2026): Edukasi Lingua Sastra
Publisher : Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/elsa.v24i1.2226

Oral interaction plays a crucial role in second language learning, particularly in Bahasa Indonesia for Foreign Speakers (BIPA), where meaning negotiation and utterance repair frequently occur during classroom communication. In the context of digital learning, platforms such as YouTube provide authentic interactional settings that allow teachers and learners to engage in real-time corrective practices. This study aims to identify the types of repair initiation, analyze the repair strategies employed, and explain the pedagogical functions of repair in BIPA learning through YouTube-based instructional videos. Using a qualitative descriptive approach, the data were obtained from two BIPA learning videos uploaded on YouTube and analyzed through conversation-based interactional analysis. The findings reveal two types of repair initiation: self-initiation and other-initiation, with other-initiation occurring more frequently, indicating the dominant role of teachers in guiding beginner learners. The repair strategies identified include repetition, reformulation, and substitution, with repetition emerging as the most dominant strategy due to its effectiveness in supporting immediate correction and reinforcing accurate language forms. Furthermore, repair practices were found to serve significant pedagogical functions, such as clarifying meaning, providing accurate linguistic models, fostering learner confidence, and promoting metalinguistic awareness. The study also demonstrates that digital learning media facilitate flexible and collaborative repair processes, enabling learners to revisit input and engage more actively in self-correction. Overall, this research highlights that repair is not merely a corrective mechanism but an integral pedagogical strategy that supports the development of speaking skills and interactional competence in digital BIPA classrooms.

Co-Authors - Supriyono Abda’u, Muhammad Fishal Putra Abdillah, Hasri Abdul Muid Abdurrosyid Abdurrosyid Adi Nugroho Adi Purnomo Adi Saputra, Diyas Aditya Adinata, Ferdyan Candra Aditya, Azka Bima Adnan Faris Naufal Afif, Faisal Agus Pujianto Agus Winarno, Agus Agustinus Agustinus Aisyi, Valerian Hakas Riha’ Aji, Galih Lastiko Akhror, Ubaidillah Almahdy, Muhammad Albi Amalia Safitri Ambarsari, Ika Sartika Amini, Aisyah Ananda, Dea Mierela Andalas, Eggy Fajar Andika Dwi Nurliansyah Andri Akhiruyanto Andrian, Nawang Alan Andy Prasetyo Utomo Aninda Nidhommil Hima Anindita Hasniati Rahmah Anshori, Ammar Miftahudin Apridiansyah, Yovi Ardani Ardani Ardhan Ismail Arif Prasetyo Wibowo Arif Pristianto Arini Nur Rohmah Arrohman, Muhammad Rizki Arti Prihatini asmaraloka, afilda maharani Asy Syifaur Roisah Rufaida Avanti Vera Risti Pramudyani Azhar, Ahmad Farid Al Aziz, Zainul Azzahra, Nabila Azzahro, Fatimah Bagus Deva Pratama, Mohammad Bayu Pratama, Bayu Bima Putra Pradata, Aria Bintang Bahariawan Cahyo, Aditya Nur Candra, Adiska Rani Ditya Catri, Indra Catur Edi Widodo Daroe Iswatiningsih Deavisca, Kenza Viorel Dedi Haryanto DENI SETIAWAN Derana, Ganes Tegar Devi Afriyantari Puspa Putri Dewangga, Mahendra Wahyu Diah Priyawati Diana Laily Fithri Diantari, Febri Rizki Dimas Yoga Ardyansyah Dwi Ernawati DWI RAHMAWATI Dwi Yuwono Puji Sugiharto, Dwi Yuwono Puji Dwiyanto Djoko Pranowo Dyah Sawitri Edy Purwanto Eko Darmanto Endang Eni Kamal Eny Pemilu Kusparlina Eri Barlian Erna Herawati, Erna Faizah, Ishmah Nur Fajar Nugraha Fajariyansyah, Arif Farras, Adilah Fathon, Ulil Fauzan . Febriansyah, Ilham Arif Felix, Igor Firda, Fathiyyatu Assa'diy Fitri, Anida Azkia Ghofar, Muhammad Abyyu Gigit Mujianto Giova, Giova H Hadiyanto Haidar, Nova Briyan Hang, Nguyen Thi Thu Hardika Dwi Hermawan Hari Asri, Hazqan Haried Novriando Harsono Hartono, Rudi Haryeni Hasan, Cahulul Rizaldy Hasany, Iddi Octavian Heldi Hermansyah, Muhammad Ardi Hermawan Hermawan Hikhmah, Fitria Nurul Hima, Anindha Nidhomil Hiu, Ho Ngoc Hutapea, Ricardo O. M. Ihza, Andika Ijlal, Muhammad Yusuf Luthfi Ilham, Ilham Jaya Kusuma Dwi Syahputra Imam Taufiqurrahman Imbo, Yuldi Christiani Ina Kusumawardani Alina Fakhri Indang Dewata Indriani Zabrina Putri Ipang Setiawan Irawan, Yosan Ananda Irfanuddin, Muhammad Fikri Irma Nirmala Irsan Tricahyadinata Islamy, Yans Fithratul Ismiyati, Ismiyati Izzatul Arifah Jelibseda Jepri, Jumadi Julfiyatun, Rossa Kamaludin, Ahmad Karlina, Nelly Kartika Senjarini Karyanto, Muhammad Dhaffa Kharis Ferdiansyah Kharisma, Rendra Khoiroh, Zahro Istitho'atul Khoirul Anwar, Mohammad Kurniawan, Moh Adi Kurniawan, Rizky Dwi KUSNAN Lamma, Louis Hermanus Lamma, Luis H Lina Alfiyani Maharani, Vanessa Mahendra, Mahir Mahfuzhi, AR Walad Mardhiati, Retno Maryanti, Herdina Maulana, Mokhammad Irvan Maulana, Muhammad Rizky Maulindar, Joni Mazala Istiqoma, Binta Melati, Inka Krisma MUCHAMMAD FAIZIN Muhammad Arifin Muhammad Fajri Muhammad Mursyid Muhammad Rendy Mujiati, Dwi Sinta Mulyana, Deny Murtadha, Naji Ammaruddin Musaffak Musaffak Musaffak Muslikha Ningrum, Rini Nanda Putra, Wafig Nanik Susanti Nasuka Nasuka, Nasuka Netrawati, Netrawati Nila Nugraha Ningrum Nisa, Kharisatun Nita Wijayanti, Ni Putu Noor Latifah Nugraheni, Imma Redha Nugroho, Adiv Prasetyo Nurul Fatimah Oktavia, Elfitri Oo, Cherry Zin Pambudi, Satrio Paray Theo Lonando Pinaldin, Ahmed Fisqiya Pramudya Kurnia Prastyo, Andik Pratama, Satria Adi Pratomo Setiaji Priyanto Priyanto Priyanto Puji Muniarty Purwanto, Ari Joko Purwati Anggraini, Purwati Putra Abda’u, Muhammad Fishal Putra Janaz Alfinalis Putra, Dimas Radika Putri , Nuristiqomah Dwi Putri Kurnia Handayani Putri, Nourma Fatmala Qoiriningrum, Adde Putri Qolbia Salamah, Naurag Qolbia, Naurah QULUB, ALFI RIFQI R Rhoedy Setiawan Rahmadani Siregar, Dewi Rahman, Chirza Rahmatika, Alifia Ayu Rahmawati, Amelia Raka Purnama, Bramasetya Rendratama, Wahyu Adhi Revia Oktaviani Rizki, Winahyu Pandu Rohmad Widodo Rosyada, Mila Rosyid, Fadhila Achmadi Ryan Rizki Adhisa Safitri, Dyah Nurul Safrida Ika Febrianti Safriyanti, Mia Saghita Pratama, Rivan salamah salamah Salisa, Sabina Es Samsudin, Syafri Santi Pratiwi Tri Utami Saputra, Fikri Hamdhan Dwi Sari, Ananda Mutiara Sartono Joko Santosa Saskia Aila Virda Sattya Arimurti Saumanuk, Ismael Setiawan, Faris Apri Shabrina Ramadhani, Nur Sholva, Yus Siswadi Siti Ifa Septiana Sobihin, Sobihin Soedjatmiko Soedjatmiko Sonny, Michael Sri Narni, Nani Sri Wahyu Basuki Sriyono Subali Subali Sudeka, Muzhadan Suhendrinal Sujalwo Sujalwo, Sujalwo Sukmariantika, Alldila Zuneasili Sulistyani, S Supriyono Supriyono Supriyono Supriyono Surya Amalia, Pinkan Surya, Lintang Surya, Pinkan Suryapranatha, Dicky Susatyo Handoko Susi Herawati Sutoyo Sutoyo Syafaat, Mokhamad Syafiul Muzid Syifau, Yuni Tafta Mahendra, Alfianas Shofi Tama, Ady Taufik Akhyar Taufik Eko Susilo Tengku Riza Zarzani N Tinus, Agus TUNA, MIRANDA SAHFIRA Ulinnuha, Muhammad Ullul Azmie, Fadila ulumuddin, Muhammad Ihya Umar, Iswandi Umi Mahmudah Utami, Mila Cahya VIVIN EKA RAHMAWATI Wahid, Burhanudin Nur Wahyu Mahendra, Indra Wahyu Wibowo, Angga Wahyuningsih Wahyuningsih Wibowo, Hari Tri Widany, Chelyn Audya Widya Kaharani Putri Wijiyanto, Dwi Winonazada, Rety Wira, Rahmayani Ayu WISNU SAPUTRA Wiwit Agus Triyanto Wulandari, Nadia Putri Yoanas, Sahenda Yudhistira, Dewangga Yudie Irawan Yuli Kusumawati Yulia Putri Paradida Yuliandika Saputra, Dwi Yuningtyastuti Yuningtyastuti Yunisa Oktavia Yusuf, Henry Baharudin Zaidan Syauqi, Gutti Zainur, Zainur Zidni Muhammad Ardiansyah

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