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Arif Setiawan

Universitas Muria Kudus

Author-ID : 376776

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Implementasi Customer Relationship Management pada Sistem Informasi Pemesanan Lapangan dengan Fitur Rating Pengguna untuk Meningkatkan Kualitas Layanan (Studi Kasus : Markass Sport Center) Safrida Ika Febrianti; Arif Setiawan; Diana Laily Fithri
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 4 (2025): Agustus 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.v8i4.9343

Abstrak - Penelitian ini membahas implementasi Customer Relationship Management (CRM) dalam sistem informasi pemesanan lapangan di Markass Sport Center. Fokus utama dari penelitian ini adalah pengembangan fitur rating pengguna yang bertujuan untuk meningkatkan kualitas layanan dan kepuasan pelanggan. Metode pengembangan sistem yang digunakan adalah model Waterfall, dengan tahapan analisis kebutuhan, perancangan sistem menggunakan Unified Modelling Language (UML), implementasi dengan bahasa pemrograman PHP (Framework Laravel) dan basis data MySQL. Pengujian sistem dilakukan menggunakan metode blackbox testing untuk menguji fungsionalitas setiap fitur, serta evaluasi kepuasan pelanggan melalui metode Customer Satisfaction Score (CSAT). Hasil pengujian menunjukkan bahwa sistem berjalan sesuai dengan kebutuhan fungsional dan memberikan kemudahan dalam proses pemesanan serta evaluasi layanan. Analisis data rating dan review menunjukkan adanya peningkatan kepuasan pelanggan, yang mencerminkan keberhasilan integrasi CRM dalam sistem. Penelitian ini menyimpulkan bahwa penerapan CRM berbasis sistem informasi dengan fitur rating pengguna dapat mendukung evaluasi layanan secara berkelanjutan. Untuk pengembangan dan pemanfaatan sistem kedepannya, disarankan agar menambahkan fitur seperti sistem poin loyalitas/membership untuk meningkatkan loyalitas pelanggan, meningkatkan penjualan, serta meningkatkan retensi pelanggan.Kata Kunci: Customer Relationship Management; Sistem Informasi; Pemesanan Lapangan; Rating Pengguna; Kualitas Layanan; Abstract - This study discusses the implementation of Customer Relationship Management (CRM) in the field booking information system at Markass Sport Center. The main focus of this study is the development of a user rating feature that aims to improve service quality and customer satisfaction. The system development method used is the Waterfall model, with the stages of needs analysis, system design using the Unified Modeling Language (UML), implementation with the PHP programming language (Laravel Framework) and MySQL database. System testing was conducted using the blackbox testing method to test the functionality of each feature, as well as customer satisfaction evaluation using the Customer Satisfaction Score (CSAT) method. The test results show that the system runs according to functional requirements and provides ease in the booking process and service evaluation. Analysis of rating and review data shows an increase in customer satisfaction, which reflects the successful integration of CRM into the system. This study concludes that the implementation of an information system-based CRM with a user rating feature can support continuous service evaluation. For future system development and utilization, it is recommended to add features such as a loyalty/membership points system to increase customer loyalty, increase sales, and improve customer retention.Keywords: Customer Relationship Management; Information System; Field Booking; User Rating; Service Quality;

From resources to reserves: a real option approach to quarry mining in the Aimasi River, West Papua Setiawan, Arif; Hutapea, Ricardo O. M.
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9343

The Aimasi River in West Papua contains substantial sand and gravel deposits with potential for quarry development. While previous assessments emphasized geological aspects, their economic feasibility has not been systematically examined. This study applied Net Present Value (NPV) and Real Options Analysis (ROA) to evaluate the viability of investments and their implications for converting resources into reserves. The NPV of the proposed project is USD 5,915.56, which is considerably lower than the option value of deferring the investment for one year (USD 116,197.59). Extending the decision horizon from one to three years raises the option value from USD 61,650.15 to USD 116,197.59. Several nodes yield positive payoffs, supporting immediate investment (classified as proved reserves) or deferral (classified as probable reserves), while nodes with zero payoffs are more appropriately classified as resources. These findings demonstrate the value of ROA in bridging geological potential and economic feasibility, thereby strengthening the framework for resource-to-reserve conversion in small-scale quarry mining.

Analisis Sentimen Ulasan Pengguna Mobile Legends di Google Play Store menggunakan Naïve Bayes dan KNN Wijiyanto, Dwi; Setiawan, Arif; Arifin, Muhammad
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i2.9113

Mobile Legends merupakan salah satu game mobile populer dengan jumlah unduhan tinggi dan ribuan ulasan pengguna di Google Play Store. Penelitian ini bertujuan menganalisis sentimen ulasan pengguna berbahasa Indonesia menggunakan algoritma Naïve Bayes dan K-Nearest Neighbors (KNN). Sebanyak 4.000 data ulasan dikumpulkan melalui teknik web scraping dan diproses melalui tahapan cleaning, tokenization, stopword removal, serta stemming. Data kemudian diklasifikasikan ke dalam dua sentimen, yaitu positif dan negatif. Evaluasi kinerja model dilakukan menggunakan metrik akurasi, presisi, recall, F1-score, dan Cross Validation. Hasil menunjukkan bahwa algoritma Naïve Bayes memiliki performa yang lebih stabil, sedangkan KNN lebih unggul dalam mengenali kemiripan pola kata. Penelitian ini memberikan wawasan terhadap persepsi pengguna serta dapat menjadi acuan bagi pengembang dalam meningkatkan kualitas layanan game Mobile Legends.

Penerapan Aplikasi Absensi Online untuk Mempermudah Pencatatan Kehadiran di JESSEDREAMCO Arrohman, Muhammad Rizki; Setiawan, Arif
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 6, No 1 (2026): Abdira, Januari
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v6i1.1512

Employee attendance management is a vital component in human resource administration. The Packaging and Marketing Unit of JesseDreamCo lacked any structured attendance recording system, resulting in the absence of credible data for discipline monitoring and performance evaluation. This Community Service (PkM) activity aims to establish an accurate and efficient attendance system from scratch. The method employed is the System Development Life Cycle (SDLC) focusing on Diffusion of Science and Technology (Ipteks), which includes needs analysis, design of a mobile-based attendance application utilizing QR Code technology and Location Based System (LBS). This was followed by intensive Training and assistance. The results demonstrate success in creating an administrative structure where none existed before. The new system facilitates validated attendance records and quantitatively achieved a report recapitulation time efficiency of over 90%. In conclusion, initiating attendance digitalization with validation features is fundamental to establish internal control and enhance employee discipline in SMEs transitioning toward structured administration.

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

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

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.

Co-Authors - Supriyono Abda’u, Muhammad Fishal Putra Abdul Muid Abdurrosyid Abdurrosyid Adi Nugroho Adi Purnomo Adinata, Ferdyan Candra Aditya, Azka Bima Adnan Faris Naufal Afif, Faisal Agus Pujianto Aisyi, Valerian Hakas Riha’ Aji, Galih Lastiko Akhror, Ubaidillah Alifa Marsha Rahmania Almahdy, Muhammad Albi Amalia Safitri Amelia Rahmawati Amini, Aisyah Andalas, Eggy Fajar Andika Dwi Nurliansyah Andika Nurfalah Ramadhani ramadhani Andri Akhiruyanto Andrian, Nawang Alan Andy Prasetyo Utomo Angga Wahyu Wibowo Aninda Nidhommil Hima Anindita Hasniati Rahmah Anis Maghfiroh Anshori, Ammar Miftahudin Apridiansyah, Yovi Aras, Firwansyah Ardani Ardani Arif Prasetyo Wibowo Arif Pristianto Arini Nur Rohmah Arrohman, Muhammad Rizki Arti Prihatini Arya Arya Subastian asmaraloka, afilda maharani Asy Syifaur Roisah Rufaida Athia Aisy Bakhita Avanti Vera Risti Pramudyani Aziz, Zainul Azzahra, Nabila Bagus Deva Pratama, Mohammad Bayu Pratama, Bayu Bima Putra Pradata, Aria Bintang Bahariawan Candra, Adiska Rani Ditya Canes Nur Amandasari Catri, Indra Catur Edi Widodo Catur Edi Widodo Chelyn Audya Widany Daroe Iswatiningsih Deavisca, Kenza Viorel Dedi Haryanto DENI SETIAWAN Devi Afriyantari Puspa Putri Dewangga, Mahendra Wahyu Dhani Miftahul Abid 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 Era Wulandari Eri Barlian Erna Herawati, Erna Fadila Ullul Azmie Faizah, Ishmah Nur Fajar Nugraha Fajariyansyah, Arif Farras, Adilah Fathon, Ulil Fatimah Azzahro Febriansyah, Ilham Arif Felix, Igor Firda, Fathiyyatu Assa'diy Fitri, Anida Azkia Ghofar, Muhammad Abyyu Gigit Mujianto Giova, Giova Gutti Zaidan Syauqi H. Hadiyanto Haidar, Nova Briyan Hardika Dwi Hermawan Hari Asri, Hazqan Haried Novriando Hartono, Rudi Haryeni Hasan, Cahulul Rizaldy Hasany, Iddi Octavian Heldi Herdian Rio Saputro Hermansyah, Muhammad Ardi Hermawan Hermawan Hikhmah, Fitria Nurul Hutapea, Ricardo O. M. Iftikhar Rizqullah Ihza, Andika Ijlal, Muhammad Yusuf Luthfi Ilham, Ilham Jaya Kusuma Dwi Syahputra Imbo, Yuldi Christiani Ina Kusumawardani Alina Fakhri Indang Dewata 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 KharisatunNisa Kharisma, Rendra Khoiroh, Zahro Istitho'atul Kurniawan, Rizky Dwi KUSNAN Lamma, Louis Hermanus Lamma, Luis H Lina Alfiyani Mahendra, Mahir Mahfuzhi, AR Walad Mardhiati, Retno Maryanti, Herdina Maulana, Mokhammad Irvan Maulana, Muhammad Rizky Maulindar, Joni Mazala Istiqoma, Binta Mia Safriyanti Moh Adi Kurniawan MUCHAMMAD FAIZIN Muhammad Arifin Muhammad Ary Sanjaya Putra Ary Muhammad Fajri Muhammad Mursyid Muhammad Rendy Muhammad Tegar Juleo Wicaksana Mujiati, Dwi Sinta Murtadha, Naji Ammaruddin Musaffak Musaffak Musaffak 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 Nur Robiatul Adawiyah Nurul Fatimah Oktavia, Elfitri 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 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 Rahmatika, Alifia Ayu Raka Purnama, Bramasetya Rendratama, Wahyu Adhi Rizki, Winahyu Pandu Rosyid, Fadhila Achmadi Ryan Rizki Adhisa Safitri, Dyah Nurul Safrida Ika Febrianti Saghita Pratama, Rivan salamah salamah Salisa, Sabina Es Samsudin, Syafri Santi Pratiwi Tri Utami Saputra, Fikri Hamdhan Dwi Sari, Ananda Mutiara Sartono Joko Santosa Sattya Arimurti 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 sucimaula adelia Sudeka, Muzhadan Suhendrinal 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 Tama, Ady Taufik Akhyar Taufik Eko Susilo Tengku Riza Zarzani N Tinus, Agus Toto Ac Yuanka TUNA, MIRANDA SAHFIRA Ulinnuha, Muhammad ulumuddin, Muhammad Ihya Umar, Iswandi Umi Mahmudah Umi Wahidasiana Utami, Mila Cahya Valderama, Aldi Fariz Vanessa Maharani VIVIN EKA RAHMAWATI Wahid, Burhanudin Nur Wahyu Wibowo, Angga Wahyuningsih Wahyuningsih Wibowo, Hari Tri Widya Kaharani Putri Wijiyanto, Dwi 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 Zahrotul Khoiriyah Zainur, Zainur Zidni Muhammad Ardiansyah

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