Article Per Year (5 Year)
p-Index From 2020 - 2025
9.146
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer @is The Best [Accounting Information System & Information Technology Business Enterprise] Jurnal Sistem Informasi, Teknologi Informasi, dan Edukasi Sistem Informasi (JUST-SI)
Nanang Yudi Setiawan
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Published : 153 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 153 Documents
Search

 1   2   3   4   5 
Rekomendasi Pengembangan Fasilitas Wisata Tugu Pahlawan Surabaya Melalui Visualisasi Dashboard Hasil Klasifikasi Analisis Sentimen Ulasan Pengunjung Fawwaz Roja Mahardika; Ahmad Afif Supianto; Nanang Yudi Setiawan; Raden Sandra Yuwana; Endang Suryawati
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 2: April 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022925655

Abstract

Tugu Pahlawan Surabaya merupakan salah satu pariwisata andalan Kota Surabaya yang selalu berupaya memperhatikan ulasan pengunjung sebagai acuan evaluasi. Namun, pengelola tidak memiliki teknologi yang mampu mengumpulkan, mengolah, dan menganalisis seluruh data ulasan yang dapat menghasilkan informasi secara ringkas. Salah satu solusi dapat dilakukan melalui analisis sentimen pada level aspek terhadap aspek edukasi, fasilitas, kebersihan, pelayanan, dan umum dengan penyajian informasi dalam bentuk dashboard. Analisis sentimen dilakukan menggunakan Support Vector Machine terhadap 2180 data ulasan selama 2 tahun terakhir yang diambil dari Google Review. Ulasan terbanyak terdapat pada aspek fasilitas sebanyak 538 ulasan dengan sebaran sentimen 285 ulasan positif, 95 ulasan negatif, dan 158 ulasan netral. Rekomendasi berdasarkan kekuatan dan kelemahan saat ini adalah penyediaan lahan atau objek foto bernuansa sejarah pahlawan secara lebih nyata serta penyediaan ventilasi terbuka atau standing cooler di beberapa area. Berdasarkan confusion matrix, nilai F1-Score menjadi penentu seberapa baik model mengklasifikan data daripada nilai Accuracy dikarenakan dataset yang dimiliki bersifat imbalance sehingga kesalahan prediksi pada precision atau recall sangat memungkinkan terjadi. Kesalahan prediksi banyak ditemukan pada kelas sentimen netral. Keseluruhan hasil klasifikasi disajikan dalam bentuk dashboard dengan nilai SUS Score 77,5, menandakan bahwa dashboard dapat diterima dengan baik oleh responden sebagai pengguna. Abstract Tugu Pahlawan Surabaya is one of the mainstays of tourism in Surabaya city which always tries to pay attention to visitor reviews as a reference for evaluation. However, the managers do not have technology capable of collecting, processing and analyzing all review datas that can produce information in a concise manner. One solution can be done through sentiment analysis at the aspect level of education, facilities, cleanliness, service, and general aspects by presenting information in the form of a dashboard. Sentiment analysis was carried out using the Support Vector Machine on 2180 review datas for the last 2 years taken from Google Reviews. The most reviews were on the facility aspect in total of 538 reviews with a sentiment distribution of 285 positive reviews, 95 negative reviews and 158 neutral reviews. Recommendations based on current strengths and weaknesses are providing more real area or photo objects with historical nuances of heroes and providing open ventilation or standing coolers in several areas. Based on the confusion matrix, the F1-Score value determines how well the model classifies data rather than the Accuracy value because the dataset is imbalance so that prediction errors in precision or recall are very possible. Prediction errors are more likely to be found in the neutral sentiment class. The overall classification results are presented in the form of a dashboard with a SUS Score of 77.5, indicating that the dashboard is well received by respondents
Perbandingan Performa Metode Klasifikasi SVM, Neural Network, dan Naive Bayes untuk Mendeteksi Kualitas Pengajuan Kredit di Koperasi Simpan Pinjam Iqbal Taufiq Ahmad Nur; Nanang Yudi Setiawan; Fitra Abdurrachman Bachtiar
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 4: Agustus 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2650.471 KB) | DOI: 10.25126/jtiik.2019641352

Abstract

Mendeteksi kualitas kredit sejak dini merupakan satu tahapan penting yang wajib dilakukan oleh koperasi simpan pinjam guna meminimalisir adanya risiko kredit. Dalam penelitian ini, kami menggunakan tiga metode klasifikasi yaitu SVM, Neural Network, dan Naïve Bayes untuk menemukan metode dengan performa yang paling baik dan optimal pada kasus pendeteksian kualitas kredit di koperasi simpan pinjam. Proses yang dilakukan adalah dengan mengimplementasikan data hasil pre processing menggunakan algoritme SVM, Neural Network, dan Naïve Bayes dengan proses evaluasi menggunakan 5-fold cross validation. Hasil yang didapatkan adalah metode Neural Network menjadi metode dengan performa paling baik. Rerata tingkat akurasi yang dihasilkan sebesar 86,81%, rerata precision sebesar 0,8194, rerata recall sebesar 0,8236, dan rerata nilai AUC sebesar 0,9158. Namun, waktu eksekusi yang dihasilkan algoritme Neural Network menjadikan algoritme ini sebagai algoritme paling lambat dibandingkan dengan dua metode lain. Nilai rerata waktu eksekusi dari metode Neural Network sebesar 3,058 detik, jauh lebih lama dibandingkan dua algoritme lain yang hanya berkisar pada nilai 0 – 1 detik. AbstractDetecting credit quality at the early stage is an important step that must be done by koperasi simpan pinjam in order to minimize the credit risk. In this research, we use three classification methods i.e. SVM, Neural Network, and Naïve Bayes to find the best performance and optimal method to be used in credit quality detection for koperasi simpan pinjam. The process conducted by implementing pre-processing data using an SVM, Neural Network, and Naïve Bayes algorithm with the evaluation process using 5-fold cross validation. As the result, The Neural Network method was the best performing method. The average level of accuracy produced was 86.81%, mean precision was 0.8194, average recall was 0.8236, and the average AUC value was 0.9158. However, the execution time generated by the Neural Network algorithm made this algorithm the slowest algorithm compared to the other two methods. The average execution time of the Neural Network method was 3.058 seconds, longer than the other two algorithms which only range from 0 - 1 second.
Analisis Ulasan Pelanggan Menggunakan Multinomial Naïve Bayes Classifier dengan Lexicon-Based dan TF-IDF Pada Formaggio Coffee and Resto Sarah Anggina; Nanang Yudi Setiawan; Fitra A. Bachtiar
@is The Best : Accounting Information Systems and Information Technology Business Enterprise Vol 7 No 1 (2022): @is The Best : Accounting Information Systems and Information Technology Business
Publisher : Labkat Press KA FTIK UNIKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/aisthebest.v7i1.7072

Abstract

Formaggio Coffee and Resto Tangerang serves western dishes with flavors that are tailored to the tastes of the Indonesian people. The increasing number of restaurants in Tangerang every year makes Formaggio Coffee and Resto supposed to have a competitive advantage by increasing customer satisfaction. Customer satisfaction can be obtained if customer expectations are met. Formaggio management considers criticism and suggestions given by customers as a positive thing that can improve their performance. However, the large number of customer reviews scattered across various sites makes it difficult for the restaurant to manage their customer opinions. This can be overcome by web scraping on the review sites, such as Traveloka, PergiKuliner, Zomato, and Google Reviews. The data that has been collected is 741 reviews with a time span from 2018 to 2021. Then, to get the information from customer reviews, sentiment analysis can be implemented using the Indonesian Sentiment Lexicon dictionary, TF-IDF features, and Multinomial Naïve Bayes Classifier. The classification model was tested using confusion matrix with four parameters, such as accuracy, recall, precision, and f1-score. The average value of each parameter is 95%, 68%, 85%, and 72%. The results of the research were visualized into a dashboard and tested using the System Usability Scale (SUS) questionnaire with 67.5 as a final score, which means the dashboard is well received by Formaggio management.
Evaluasi dan Perbaikan Proses Bisnis Menggunakan Failure Mode and Effect Analysis dan Six Sigma Aldhila Meykasari; Yusi Tyroni Mursityo; Nanang Yudi Setiawan
Jurnal Sistem Informasi, Teknologi Informasi, dan Edukasi Sistem Informasi Vol 3 No 1 (2022): Agustus
Publisher : Fakultas Ilmu Komputer Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/justsi.v3i1.57

Abstract

Keberadaan PPID dapat mempermudah masyarakat dalam mendapatkan informasi melalui mekanisme satu pintu. Kompleksnya sistem yang terdapat di PPID Diskominfo Kabupaten Kediri memerlukan analisis lebih jauh untuk menentukan proses bisnis dan aktifitas yang berpotensi menyebabkan permasalahan, sehingga dapat dilakukan perbaikan (improvement) dan juga menghasilkan proses bisnis rekomendasi, dengan harapan PPID tersebut dapat lebih efektif dan efisien. Dalam mengatasi hal tersebut peneliti menggunakan suatu tools yang disebut sebagai Failure Mode Effect Analysis (FMEA) dan Six Sigma. Evaluasi dan perbaikan dalam peningkatkan kinerja dilakukan dengan menggunakan Bussiness Process Model and Notation (BPMN) dan menggunkan aplikasi Bizagi Model untuk mendapatkan keunggulan proses bisnis. Pengendalian permintaan informasi publik oleh PPID (Pejabat Pengelola Informasi dan Dokumentasi) Kabupaten Kediri, dengan metode Six Sigma menggunakan 5 tahap yaitu Define, Measure, Analyse, Improvement, dan Control. FMEA diproses dalam bentuk wawancara dan diskusi bersama pegawai PPID Kabupaten Kediri. Severity (Keparahan), Occurrence (Kejadian), dan Detection (Deteksi) diidentifikasi dari hasil survey dalam organisasi. Berdasarkan hasil simulasi proses bisnis, Proses validation ini dilakukan validasi terhadap probabilitas control aliran aktivitas pada setiap gateways yang ada. Bagian PPID pembantu, probabilitas permohonan dapat dipublikasikan yang memiliki pilihan boleh dan tidak. Pada kondisi boleh memiliki probabilitas 55% dan untuk kondisi tidak memiliki probabilitas sebesar 45%. Hal itu disebabkan karena banyak informasi yang memang bersifat rahasia maka menghasilkan nilai probabilitas yang sama. Percabangan bagian pemohon informasi publik khususnya pembayaran memiliki pilihan ya dan tidak. Pada kondisi tidak memiliki nilai probabilitas sebesar 90% dan untuk kondisi ya memiliki nilai probabilitas 10% hal ini disebabkan karena pada proses permohonan informasi pihak PPID memiliki hakikat biaya murah. Pada proses rekomendasi bidang pelayanan informasi berperan penting membantu pihak PPID Pembantu untuk melakukan pengecekan informasi yang sesuai dengan persyaratan. Prosespun menjadi lebih lancar tidak harus menunggu PPID Pembantu dalam memutuskan banyak hal untuk dapat melanjutkan proses selanjutnya. Dari proses rekomendasi ini diperlukan waktu 3 hari 2 jam. Dalam penerapan Failure Mode Effect Analysis (FMEA) dan Six Sigma dengan menggunakan Bussiness Process Model and Notation (BPMN) dan aplikasi Bizagi Model kinerja PPID Pembantu lebih efisien dan efektif dengan proses bisnis yang berkualitas.
Sistem Propagasi Anotasi pada Metadata Lineage untuk Manajemen Data Warehouse Dion Ricky Saputra; Welly Purnomo; Nanang Yudi Setiawan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 7: Spesial Issue Seminar Nasional Teknologi dan Rekayasa Informasi (SENTRIN) 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022976833

Abstract

ETL (extract, transform, dan load) merupakan proses yang dilibatkan dalam pembuatan dan manajemen data warehouse. Desain ETL dibuat menyesuaikan struktur sumber data dan data warehouse. Dengan adanya ketergantungan tersebut maka perubahan di sumber data bisa berdampak besar terhadap desain ETL. Ketika perubahan tersebut terjadi, pengelola ETL akan berkomunikasi dengan pemilik data untuk mengetahui rincian perubahan struktur data dalam rangka memperbaiki desain ETL. Aliran komunikasi ini akan semakin meningkat sejalan dengan jumlah sumber data yang digunakan. Semakin banyak sumber data yang diproses maka komunikasi tersebut berpotensi menjadi bottleneck. Informasi perubahan struktur data ini dapat dikomunikasikan melalui anotasi yang dilekatkan pada sumber data. Anotasi tersebut kemudian dipropagasikan sehingga dapat digunakan untuk memperbaiki rancangan ETL. Dengan menggunakan anotasi, harapannya aliran komunikasi antara pengelola ETL dengan pemilik data dapat berkurang. Permasalahan tersebut menunjukkan seberapa penting dikembangkannya sistem propagasi anotasi. Sistem propagasi anotasi tersusun atas tiga komponen yaitu ekstraksi metadata, propagasi anotasi, dan adapter. Pengujian sistem dilakukan menggunakan teknik blackbox dan user acceptance testing bersama pengguna akhir. Pengujian blackbox menghasilkan 30 kasus uji yang hasilnya valid. Hasil evaluasi user acceptance testing menunjukkan bahwa rata-rata pengguna menyatakan sangat setuju dengan sistem yang dikembangkan. AbstractETL is a process of extracting, transforming, and loading data that is involved in creation and management of a data warehouse. Since ETL is deeply connected to the structure of the source data, if a small changes happens to that structure then the whole workflow might stop. Because one data source can be used by more than one ETL workflow, the impact of schema changes to the ETL design are enormous. When such incident happens, the ETL designer will ask the data owner for the details of the schema changes. The communication traffic between the ETL designer and the data owner will increase as the number of sources that are being used is increasing. Therefore potentially becoming a bottleneck. Information regarding schema changes of a data source can be attached as an annotation. This annotation will be then propagated so that the ETL manager can update the workflow according to the recorded changes.Using this technique, the communication traffic between the ETL designer and the data owner can be minimized. This problem highlights the need of an annotation propagation system. The system itself consists of three components: metadata extraction, adapter, and annotation propagation. To test the system, blackbox and user acceptance testing is used. The blackbox testing resulting with 30 test case which are all valid. The user acceptance testing is done with the end-user directly operating the system, and after analyzing the results it shows that on average the user is accepting the system. 
Evaluasi Proses Bisnis Menggunakan Quality Evaluation Framework (QEF) (Studi Kasus : UD Honda II Kepanjen AHASS 06641) Intan Rumaysha; Aditya Rachmadi; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (973.024 KB)

Abstract

The process of motorcycle maintenance is the main business process at UD Honda II Kepanjen Ahass 06641. In the process of motorcycle maintenance there are several activities performed, starting from customers come to perform maintenance, motorcycle maintenance work, until the motorcycle maintenance is done . In doing motorcycle maintenance activities occur some activities that are not in accordance with the target company, so it can hamper the existing activities in the company. Therefore, it is necessary to evaluate using Quality Evaluation Framework (QEF) method to know the gap that occurs between the target company with the results of calculations performed in QEF method. The first step is to identify the main business processes in the workshop, then model the business processes using Business Process Model and Notation (BPMN). Next determine the quality factor and target company, then performed calculations in accordance with the equations that is in the QEF method. Then identify the quality factor that is not in accordance with the target company. After finding the gap in the evaluation process, the next step is to do Root Cause Analysis, the purpose is to find the cause and root of the problem of the gap. The result of this research are the causes and effects that occur in the activity or process that has been evaluated.
Perancangan Business Process Improvement Untuk Layanan Kepegawaian Menggunakan Domain Service Design Dalam Framework Information Technology Infrastructure Library (ITIL) V3 (Studi Pada Bank XYZ) Citra Hemas Jati Inayu; Yusi Tyroni; Nanang Yudisetiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (849.24 KB)

Abstract

XYZ Bank is a banking company with head office in Jakarta. The employment service business process for leave, overtime, and update of employee data at Bank XYZ still rely on paper based, so that the HC area unit (Human Capital) must manually input recap data into SAP (Employee Administration System). HC area unit employees will be particularly vulnerable to input errors that can be fatal for employee salary calculations. The implementation of paper based on some activities of leave, overtime, and data update also cause the process runs less efficient and effective so that the processing time becomes longer. The method used in doing business process improvement refers to the framework of ITIL v3 domain service design. The result of the business process improvement of XYZ staffing service business for leave is an average time acceleration of 58.11 minutes due to loss of PIC (Person in Charge) activity in requesting and submitting the leave leave form, as well as equalization of utilization to superiors, employees and HC area due to loss of role PIC and courier. In the employee overtime business process, the average acceleration time of 370.98 minutes due to loss of PIC's role in manual recording, as well as equitable distribution of employers, officers, and HC areas due to loss of PIC and messenger role. In the business process update employee data there is an acceleration of 22.6 minutes due to loss of activity provide the form and input employee data, and there is a change in resource utilization percentage due to reduced HC area activity.
Perancangan Perbaikan Bisnis Proses Menggunakan Metode Business Process Improvement Pada Layanan Penerbitan Majalah (Studi Pada PT. East Java Liberty Coy) Rista Yasin Lamohammad Hende; Nanang Yudi Setiawan; Yusi Tyroni Mursityo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (829.598 KB)

Abstract

PT.East Java Liberty Coy is one of the subsidiaries of Java Pos Group which is engaged in print media. In running the business process there are several problems that have the potential to disrupt the course of business activities. Unoptimal processes on PT.East Java Liberty Coy include data storage is not integrated or fragmented which can cause data duplication, data loss due to human error. So it is necessary to analyze the business processes that have been applied, and then evaluated to determine the business processes that have the potential to disrupt the course of organizational activities in order to provide recommendations in the form of business process improvement recommendations. This research uses Business Process and Notation notation (BPMN) and Business Process Improvement (BPI) as evaluation method. Method Business Process Improvement applied in this research from phase 1: organizing improvement, phase 2: understanding the process and phase 3: streamlining. From the simulation results The current business process and business process recommendations are found that the level of time analysis of business process renewal contract advertising recommendations obtained the effectiveness of time up to 82.46%. So it can be concluded that business process improvement can improve the performance to be more efficient and effective, hence the recommendation of this business process is important to be applied to PT. East Java Liberty Coy.
Analisis dan Perbaikan Proses Bisnis dengan menggunakan Teknik Esia (Studi Kasus : Departemen Produksi PT XYZ) Merlien Yuliana Permatasari; Ismiarta Aknuranda; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (958.608 KB)

Abstract

The more the business market continues to increase. Companies need to give products / services better. PT XYZ is a company engaged in the processing of marine products, especially anchovy. Production department is a department that has a great influence on the company. Currently in running its business process, the production department of PT XYZ is experiencing difficulties in managing the stock. The purpose of this research is to doing current business process modeling (as-is) at PT XYZ production department, provide recommendations on proposed business processes (to-be) submitted to PT XYZ production department using ESIA techniques, and produce a comparison of current business processes with proposed business processes at the production department of PT XYZ. Research begins with literature studies and data collection through interviews next is modeling business processes using BPMN, determining business process recommendations, problem identification, value added analysis, design improvements using ESIA techniques and comparison results of process simulations. The results obtained from this research that is obtained eight business process models that can later be evaluated and effectiveness, recommended business process models using ESIA techniques, and comparison results of the current business process simulation and business process recommendations.
Analisis dan Perancangan Sistem Informasi Rekam Medis Poli Gigi (Studi Kasus : Puskesmas Sumbersari Kecamatan Saradan Kabupaten Madiun) Dzurriyatul Iflahah; Ismiarta Aknuranda; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1681.229 KB)

Abstract

Community health centers(Puskesmas) is one of the most important health services in Indonesia. Puskesmas is a Regional Technical Implementation Unit District / City that have a responsible for organizing health development in a work area. Puskesmas Sumbersari has 4 poly, from these poly, only dentist which have not yet medical record information system. The recording of the patient's medical records is still using manual system by recording the diagnosis / complaint and treatment on the patient's medical record card. With manual medical records archiving is often occurred of damage or loss of patient medical record card, duration of search time and the manufacture of medical record card, and increase the possibility of repetition of data when moving patient's register data from register book to Microsoft Excel. To resolve these problems, a computerized patient-based medical record information system is required to improve the quality of Puskesmas service to patients and to helping doctors in managing medical records data of dental patient of Puskesmas Sumbersari. The purpose of this research is to modeling the business process, analyze the system requirements and design specifications, designing the system interface, and evaluate the results of the requirements specification and design. In the making of analysis and design of information systems, researchers use the method of Object Oriented Analysis and Design which mean in the process of analysis and design using modeling language in the form of Unified Modeling Language. After doing the analysis and design, researcher has to do the evaluation of consistency design in the form of Requirements Configuration Structure and Decision table.
Co-Authors Achmad Nofandi Ade Ayu Puspitasari Adeyaksa Galuh Waluyo Adha Apriliosusworo Adhitira Febrieztha Ramadhan Adilla Widyandhana Nuriman Aditya Rachmadi Adityo Dwirahmawan Agustinus Ryan Wicaksono Ahmad Afif Supianto Ahmad Afif Supianto Ain Nur Anisa Akbar Ilham Aldhila Meykasari Alfian Hakim Alya Paramitha Ayuningsih Amanda Puti Wibawa Ananda Risqi Amalia Andhika Akbar Saputra Andhika Mifta Alauddin Andi Reza` Perdanakusuma Anggara Cahya Nugraha Anggie Tamara Blanzesky Annisa Arifa Sesyazhade Apriyanti Apriyanti Arieftia Wicaksono Aulia Dwi Fitriani Ayu Pramadita Dewi Azhari Arsyad Azri Putri Rahmatika Bayu Rahayudi Bella Karina Sari Buce Trias Hanggara Budi Santoso Cahyaningtyas Sekar Wahyuni Carellia An-nisa Monik Citra Hemas Jati Inayu Claudio Canigia Guntara Daniel Austin Dominicus Deafinansia Nurido Andiyani Dedi Romario Desy Miladiana Devi Septiani Devita Widyasari Diah Priharsari Dian Eka Ratnawati Dicky Ilham Mualfi Dimas Hariyanto Sudarpi Dimounitif Nelaspaba Dinar Fairus Salsabillah Dinar Indah Dwi Utami Dinda Agnes Putri Dinda Ayu Rudyana Putri Dio Hilmi Habibi Dio Rahmat Putra Dion Ricky Saputra Djoko Pramono Djoko Purnomo Dorothy Gabriel Sihombing Dwi Asri Nuryulianti Dwija Wisnu Brata Dzurriyatul Iflahah Ellen Yanuarti Endang Suryawati Erni Dwi Hartini Erzhal Risan Wikata Fajar Ubaidillah Ahmad Faqih Hidayatur Rahman Faris Wibowo Putro Farisa Aidilla Alfas Fawwaz Roja Mahardika Fawwaz Roja Mahardika Febiko Ramadina Febrian Pandu Widhianto Fitra A. Bachtiar Fitra Abdurrachmad Bachtiar Fitra Abdurrachman Bachtiar Frydo Tio Fernando Hafizh Yuwan Fauzan Hamim Nizar Yudistira Hanifah Muslimah Az-Zahra Haris Surya Wijayanto Harisul Ikrom Amin Heraspati Yudha Pratama Herman Tolle Hetty Mukammilah Higam Saiful Sadzali Hilmi Rezkian Aziz Dama Hilwa Aminatus Sholihah Ibnu Irawan Pratama Iffa Aulia Ulwani Ihza Razan Alghifari Ilma Bunga Sahara Imam Setyo Wibowo Indra Fahrizal Inggrid E. A. Siahaan Inka Setya Anggraini Intan Rumaysha Intan Sartika Eris Maghfiroh Iqbal Taufiq Ahmad Nur Ismiarta Aknuranda Istania Salma Jesy Thesalonica Mononimbar Juara Hutagalung Kartika Utami Kelvin Yabes Sitompul Kevin Gusti Farras Fari' Utomo M. Iqbal Farras Pratama Mega Isma Juwita Merlien Yuliana Permatasari Moch. Rosul Zein Mochamad Chandra Saputra Mohammad Malik Abdul Azis Muhamad Fauziawan Agung Rewanda Muhammad Aswin Muhammad Averous Mahdafikiyah Muhammad Ferdyandi Muhammad Hanif Hasanain Muhammad Ibrahim Al Ghazi Saragi Muhammad Indra Firdaus Muhammad Iqbal Muhammad Rasyad Fauzan Muhammad Rayhan Ravandika Muhammad Rizqi Ramadhan Muhammad Taufik Dharmawan Muhammad Tri Hermawan Mumtazah Rizti Arini Nabilah Iftah Nella Nadhif Mahendra Putra Nafiani Nafiani Nanda Petty Wahyuningtyas Nashihul Ibad Al Amin Nasita Ratih Damayanti Nazva Abiya Niken Hendrakusma Wardani Niken Hendrakusma Wardani Nourman Hajar Novira Azpiranda Novriani Dewi Anwar Nur Fatimah Nur Laita Rizki Amalia Prakoso Adi Bagaskara Prasetyo Iman Nugroho Priyambadha, Bayu Putera Iga Arrahma Putri Puspitasari Raden Sandra Yuwana Raditya Rizky Putra Rafi Audian Retno Indah Rokhmawati Rista Yasin Lamohammad Hende Rizal Halim Adirasyid Rois Yanuar Rahman Wahyudi Rokhmah Vira Santi Ryan Dwi Pambudi Salsabilla Syafta Sandrian Yulian Firmansyah Noorihsan Sarah Anggina Satrio Agung Wicaksono Satrio Arif Budiman Satrio Dwiartono Satrio Hadi Wijoyo Sheila Maulidia Sholachuddin Al Ayubi Syifa Basyasyah Bysi Theresia Emiliana Boleng Tirta Saraswati Tito Rhenaldi Priono Topan Prakoso Tri Afirianto Tri Susanto Victor Axelius Kristianto Siren Welly Purnomo Whita Parasati Wildan Arrizal Wahyu Sutomo Wildan Dery Rahadi Wira Kumara Wiratama Ahsani Taqwim Yoga Tika Pratama Yusi Tyroni Yusi Tyroni Mursityo Zaenal Kurniawan Zulfiar Ryanda Putra