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Arif Setiawan

Universitas Muria Kudus

Author-ID : 376776

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Pelatihan Perencanaan Pembelajaran Berbasis Deep Learning untuk Meningkatkan Kompetensi Guru Sekolah Muhammadiyah : Pengabdian Mujianto, Gigit; Widodo, Rohmad; Agustinus, Agustinus; Setiawan, Arif
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4999

The challenges of 21st-century education require teachers to design meaningful learning that is oriented towards students' in-depth understanding. However, learning plans in the field are often still viewed as administrative documents, thus not optimally supporting deep learning-based learning. This community service activity aims to test the effectiveness of deep learning-based learning planning training in improving the competency of Muhammadiyah School teachers. The method used was quantitative with a one-group pretest–posttest design for 30 Muhammadiyah junior high school teachers in Malang Regency. Data were obtained through pre- and post-training tests, supported by interviews, observations, and documentation, then analyzed descriptively using score comparisons and N-gain values. The results showed a significant increase in teacher competency in the moderate to high category, confirming that this training is effective in improving teacher competency and encouraging a paradigm shift in learning planning as the basis for meaningful learning.

Sumber Daya Alam Sektor Pertambangan di Kabupaten Manokwari: Kutukan atau Berkah Setiawan, Arif; Ismiyati, Ismiyati; Lamma, Louis Hermanus
Jurnal Teknologi Sumberdaya Mineral Vol. 5 No. 2 (2024)
Publisher : Program Studi Teknik Pertambangan Fakultas Teknik Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jeneral.v5i2.52295

Manokwari merupakan kabupaten yang memiliki potensi sumber daya alam, salah satunya di sektor pertambangan. Namun, terdapat permasalahan mengenai apakah keberadaan sumber daya alam pada sektor ini membawa manfaat atau justru menjadi kutukan bagi pembangunan daerah. Penelitian ini bertujuan untuk menganalisis fenomena kutukan sumber daya alam pada sektor pertambangan di Manokwari. Penelitian ini menggunakan metode komparatif berdasarkan tingkat eksplanasinya untuk membandingkan indikator ketergantungan sumber daya alam dengan tingkat pembangunan berkelanjutan. Analisis dilakukan dengan menggunakan dua pendekatan, yaitu indeks komposit dan overlay. Hasil penelitian menunjukkan nilai Natural Resource Dependence Index (NRDI) sektor pertambangan sebesar 0,0107 dan Regional Sustainable Development Index (RSDI) sebesar 0,4477. Nilai NRDI yang lebih kecil dibandingkan dengan RSDI mengindikasikan bahwa tidak terdapat fenomena kutukan sumber daya alam di Manokwari, sehingga sektor ini berpotensi menjadi berkah. Meskipun sektor pertambangan di Manokwari bukan merupakan sektor unggulan, sebagaimana ditunjukkan oleh nilai Location Quotient yang berada di bawah 1. Namun, sektor ini memberikan kontribusi kecil dengan pertumbuhan yang cepat dan daya saing terhadap sektor lain. Hal ini diperkuat oleh hasil analisis shift-share dan tipologi Klassen.

KAJIAN KONDISI ATMOSFER SAAT KEJADIAN HUJAN LEBAT PENYEBAB BANJIR DI KOTA PALEMBANG (Studi Kasus Tanggal 13 September 2021) SETIAWAN, ARIF
Jurnal Material dan Energi Indonesia Vol 11, No 2 (2021)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Pada tanggal 13 September 2021, Sejumlah wilayah di Kota Palembang terendam banjir yang disebabkan karena hujan lebat yang terjadi di wilayah tersebut. Berdasarkan data curah hujan BMKG, curah hujan yang tercatat pada tanggal tersebut adalah sebesar 70.3 mm. Dilakukan analisis Citra Satelit Himawari-8 untuk melihat sebaran awan konvektif, serta analisis dinamika atmosfer untuk melihat kondisi atmosfer saat kejadian hujan lebat dan mengetahui penyebab terbentuknya awan-awan konvektif penyebab hujan lebat tersebut. Penelitian ini menggunakan teknik RGB (Red Green Blue) pada satelit Himawari-8, dengan menggunakan beberapa skema yaitu 24-Hour Microphysics RGB, AirMass RGB dan Ash RGB. Dari hasil analisisnya dapat diketahui bahwa kejadian hujan lebat yang menyebabkan banjir di Palembang adalah disebabkan karena awan cumulonimbus yang menutupi wilayah tersebut. Dari metode RGB diketahui bahwa terdapat massa udara hangat di wilayah Palembang yang memicu pertumbuhan awan konvektif. Selain itu, adanya daerah konvergensi angin di sebelah Timur Kota Palembang serta aktifnya beberapa fenomena-fenomena cuaca global maupun regional seperti La Nina dan MJO juga menjadi faktor pemicu pertumbuhan awan konvektif penyebab curah hujan yang tinggi di Wilayah Palembang.Kata Kunci : Banjir, Hujan Lebat, Himawari-8, RGB, cumulonimbus

UI/UX Analysis of myplpkkndik.fkip.ums.ac.id using the Heuristic Evaluation Method Azhar, Ahmad Farid Al; Setiawan, Arif
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

Myplpkkndik.fkip.ums.ac.id is one of the official websites at Universitas Muhammadiyah Surakarta, designed to facilitate students in managing their PLP (Praktik Lapangan Persekolahan) and KKN (Kuliah Kerja Nyata) activities. However, despite the platform's operation, several usability issues and user complaints persist regarding User Experience (UX) and User Interface (UI), including unattractive web design, inadequate accessibility, confusing navigation and layout, and the absence of a help menu to assist users. This study aims to analyze these issues and provide recommendations to enhance usability and user satisfaction. The research employs the heuristic evaluation method, which utilizes ten well-established principles to assess design effectiveness. Data collection was conducted using a Google Forms questionnaire, with a sample size of 92 fifth-semester students from the Faculty of Teacher Training and Education (FKIP) at Universitas Muhammadiyah Surakarta. The recapitulated results indicate that while some identified issues do not critically impact users, classified as minor problems, specific usability concerns were found on the website, particularly in: Visibility of system status (H1), User control and freedom (H3), and Help and documentation (H10).

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.

Implementasi indoBERT dalam Analisis Sentimen Program Makan Bergizi Gratis pada Platform Media Sosial X Muhammad Mursyid; Setiawan, Arif; Arifin, Muhammad
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 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.

COMPENSATION STRATEGIES FOR VOCABULARY LIMITATIONS IN BIPA LEARNING: A CASE STUDY OF VIETNAMESE LEARNERS Prianti, Nila Agustin; Isnaini, Muhammad; Setiawan, Arif; Hang, Nguyen Thi Thu
Curricula: Journal of Teaching and Learning Vol. 10 No. 2 (2025): Curricula : Journal of Teaching and Learning
Publisher : LLDIKTI Wilayah X

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

In the context of learning Indonesian as a foreign language, limited vocabulary often becomes one of the main obstacles that hinder learners from communicating effectively. To overcome this limitation, learners frequently employ various communication strategies that allow them to maintain interaction despite gaps in linguistic competence. Understanding how these strategies are used is essential for improving the effectiveness of Indonesian language teaching for foreign learners (BIPA). This study aims to identify and analyze the compensation strategies employed by BIPA learners in Vietnam when dealing with limitations in Indonesian vocabulary during classroom interactions. This research employed a qualitative descriptive approach. The study was conducted at Ho Chi Minh City Open University, Vietnam, involving Vietnamese students enrolled in an Indonesian language class. Data were collected through classroom observation, semi-structured interviews, and documentation of learners’ utterances during learning activities. A total of 20 instances of learner utterances and communicative behaviors indicating the use of compensation strategies were identified and analyzed. Data analysis followed the qualitative analysis model of data reduction, data display, and conclusion drawing. The findings reveal that BIPA learners employ several types of compensation strategies to maintain communication. These strategies include code-switching, lexical borrowing, lexical approximation, circumlocution, and gestural strategies. Among these strategies, lexical borrowing from English was found to be the most frequently used, indicating the role of English as a linguistic support in communication. Nonverbal strategies such as gestures were also commonly used to clarify meanings when learners lacked appropriate vocabulary. The study suggests that compensation strategies play an important role in sustaining communication and supporting the development of learners’ communicative competence. Therefore, BIPA instruction should adopt communicative and contextual approaches that allow learners to utilize such strategies while gradually expanding their vocabulary repertoire.

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 Alfiyani, Lina Almahdy, Muhammad Albi Amalia Safitri Amini, Aisyah Ananda, Dea Mierela Andalas, Eggy Fajar Andika Dwi Nurliansyah Andrian, Nawang Alan Andry Akhiruyanto Andy Prasetyo Utomo Aninda Nidhommil Hima Anshori, Ammar Miftahudin Apridiansyah, Yovi Ardani Ardani Ardhan Ismail Arif Prasetyo Wibowo Arif Pristianto Arrohman, Muhammad Rizki Arti Prihatini asmaraloka, afilda maharani 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 cahyono, didik 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 Elen Inderasari 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 Ferdiansyah, Kharis 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 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 Kharisma, Rendra Khoiroh, Zahro Istitho'atul Khoirul Anwar, Mohammad Kurniawan, Moh Adi Kurniawan, Rizky Dwi KUSNAN Lamma, Louis Hermanus Lamma, Luis H Maharani, Vanessa Mahendra, Mahir Mahfuzhi, AR Walad Mardhiati, Retno Maryanti, Herdina Maulana, Mokhammad Irvan Maulana, Muhammad Rizky Mazala Istiqoma, Binta Melati, Inka Krisma MUCHAMMAD FAIZIN Muhammad Arifin Muhammad Fajri Muhammad Isnaini Muhammad Mursyid Muhammad Rendy Mujiati, Dwi Sinta Mulyana, Deny Murtadha, Naji Ammaruddin Musaffak Musaffak Musaffak Muslikha Ningrum, Rini Nanda Putra, Wafig Nasuka Nasuka, Nasuka Naufal, Adnan Faris Netrawati, Netrawati Nila Nugraha Ningrum Nisa, Kharisatun Nita Wijayanti, Ni Putu Noor Latifah Nugraheni, Imma Redha Nugroho, Adiv Prasetyo Nurjamal, Nurjamal Nurul Fatimah Oktavia, Elfitri Oo, Cherry Zin Pambudi, Satrio Paray Theo Lonando Pinaldin, Ahmed Fisqiya Pramudya Kurnia Prastyo, Andik Pratama, Satria Adi Pratomo Setiaji Prianti, Nila Agustin Priyanto Priyanto Priyanto Purwanto, Ari Joko Purwati Anggraini, Purwati Putra Abda’u, Muhammad Fishal Putra Janaz Alfinalis Putri , Nuristiqomah Dwi Putri Kurnia Handayani Putri, Nourma Fatmala Putri, Widya Kaharani Qoiriningrum, Adde Putri Qolbia Salamah, Naurag Qolbia, Naurah QULUB, ALFI RIFQI R Rhoedy Setiawan Rahmadani Siregar, Dewi Rahmah, Anindita Hasniati Rahman, Chirza Rahmatika, Alifia Ayu Rahmawati, Amelia Raka Purnama, Bramasetya Rendratama, Wahyu Adhi Revia Oktaviani Rio Saputro, Herdian Rizki Adhisa, Ryan Rizki, Winahyu Pandu Rohmad Widodo Rohmah, Arini Nur Rosyada, Mila Rosyid, Fadhila Achmadi Rufaida, Asy Syifaur Roisah 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 Sapulete, Jance J 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 Sukmariantika, Alldila Zuneasili Sulistyani, S Supriyanto Supriyanto Supriyono Supriyono Supriyono Supriyono Surya Amalia, Pinkan 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 Wijiyanto, Dwi Winonazada, Rety Wira, Rahmayani Ayu WISNU SAPUTRA Wiwit Agus Triyanto 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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