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All Journal Publikasi Pendidikan Jurnal Simetris Prosiding SNATIF Jurnal Teknologi Jurnal Transformatika Scientific Journal of Informatics InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Informatika Upgris JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL MANAJEMEN INFORMATIKA (JUMIKA) J I M P - Jurnal Informatika Merdeka Pasuruan Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Nasional Komputasi dan Teknologi Informasi IKRA-ITH ABDIMAS JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Informasi dan Multimedia Jurnal Ekonomi Manajemen Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian kepada Masyarakat Nusantara Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Digit : Digital of Information Technology RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal Pendidikan dan Teknologi Indonesia Jurnal Dialektika Informatika (Detika) Journal La Multiapp JAST Biner : Jurnal Ilmiah Informatika dan Komputer Jurnal Ilmiah Nusantara Journal of Blockchain, Nfts and Metaverse Technology INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Bina Informatika dan Komputer (BINER) Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Aditya Akbar Riadi
Universitas Muria Kudus
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Neuroscience Social Sciences Transportation

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Rancang Bangun Dashboard Monitoring Pengiriman Bermasalah pada E-Commerce marta, amelia vidora revita; riadi, aditya akbar; chamid, ahmad abdul
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3516

Abstract

The rapid growth of e-commerce has increased the volume of orders that must be monitored by sellers, making the handling of delivery delays a major challenge. This study designs and develops a dashboard to monitor problematic shipments on an e-commerce platform by applying a Service Level Agreement (SLA) approach as the basis for evaluating delivery delays. The research adopts a Research and Development (R&D) method with the Waterfall system development model, which includes the stages of requirement analysis, system design, implementation, and functional testing. The developed dashboard is able to automatically classify shipment statuses based on SLA calculations, display indicators of orders at risk of delay, and present delivery data through graphical visualizations. The testing results indicate that the system successfully presents real-time delivery data, proactively detects potential delays, and supports sellers in making operational decisions. This system provides a more effective and measurable SLA-based approach for monitoring e-commerce deliveries.Keywords: Monitoring dashboard; Problematic delivery; Service Level Agreement; E-commerce; Automatic detection.AbstrakPerkembangan e-commerce telah meningkatkan volume pesanan yang harus dipantau oleh seller, sehingga penanganan keterlambatan pengiriman menjadi tantangan utama. Penelitian ini merancang dan membangun sebuah dashboard untuk memonitor pengiriman bermasalah pada platform e-commerce dengan pendekatan Service Level Agreement (SLA) sebagai dasar penilaian keterlambatan pengiriman. Metode yang digunakan adalah Research and Development (R&D) dengan model pengembangan sistem Waterfall, yang meliputi tahapan analisis kebutuhan, perancangan sistem, implementasi, dan pengujian fungsionalitas. Dashboard yang dikembangkan mampu mengklasifikasikan status pengiriman secara otomatis berdasarkan perhitungan SLA, menampilkan indikator pesanan berisiko terlambat, serta menyajikan grafik visualisasi pengiriman. Hasil pengujian menunjukkan bahwa sistem berhasil menampilkan data pengiriman secara real-time, mendeteksi potensi keterlambatan secara proaktif, dan membantu seller dalam pengambilan keputusan operasional. Sistem ini memberikan pendekatan monitoring pengiriman yang lebih efektif dan terukur berbasis SLA.Kata kunci: Dashboard monitoring; Pengiriman bermasalah; Service Level Agreement; E-commerce; Deteksi otomatis
Sistem Monitoring dan Kontrol Suhu Kandang Ayam Kalkun Yudha, Raka Gifaris Anega; Evanita, Evanita; Riadi, Aditya Akbar
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3236

Abstract

Turkey farming requires stable temperature and humidity management to maintain optimal growth and health. Manual monitoring often causes delays in handling environmental changes, which can reduce productivity. This study designs and implements a temperature and humidity monitoring and control system for turkey cages based on the Internet of Things (IoT). The system utilizes a NodeMCU ESP8266 microcontroller, a DHT11 sensor, and a relay module to automatically control a heating lamp according to temperature conditions. Data are transmitted to a server and displayed on a web-based dashboard accessible remotely, with additional notifications sent via WhatsApp. The development process applied a prototyping method, including hardware and software design, experiment and black-box testing. The results show that the system successfully maintains cage temperature within the ideal range of 28–32°C, displays real-time temperature and humidity data, and achieved a user satisfaction level of 91.25%. This system is considered effective in assisting farmers to monitor turkey cages more efficiently and responsively.Keywords: Internet of Things; Turkey farming; Temperature monitoring; Humidity; NodeMCU ESP8266.AbstrakPeternakan kalkun membutuhkan pengelolaan suhu dan kelembaban kandang yang stabil agar pertumbuhan dan kesehatan ternak tetap optimal. Pemantauan manual sering menimbulkan keterlambatan dalam penanganan perubahan suhu sehingga berpotensi menurunkan produktivitas. Penelitian ini merancang dan mengimplementasikan sistem monitoring serta kontrol suhu kandang kalkun berbasis Internet of Things (IoT). Sistem memanfaatkan mikrokontroler NodeMCU ESP8266, sensor DHT11, dan modul relay untuk mengendalikan lampu pemanas secara otomatis sesuai kondisi suhu. Data dikirimkan ke server dan ditampilkan pada dashboard web yang dapat diakses jarak jauh, serta dilengkapi notifikasi melalui WhatsApp. Metode pengembangan menggunakan pendekatan prototyping, meliputi perancangan perangkat keras, perangkat lunak, pengujian eksperimen dan pengujian Black box. Hasil pengujian menunjukkan sistem mampu menjaga suhu kandang dalam rentang ideal 28–32°C, menampilkan data suhu dan kelembaban secara real-time, serta memperoleh tingkat kepuasan pengguna sebesar 91,25%. Sistem ini dinilai efektif membantu peternak dalam memantau kondisi kandang kalkun secara lebih efisien dan responsif.Kata kunci: Internet of Things ; Kalkun; Monitoring suhu; Kelembaban; NodeMCU ESP8266.
CNN-Based Automatic Detection of Corn Leaf Diseases Using Desktop GUI Application Salsabilah, Nisrina Rona; Riadi, Aditya Akbar; Chamid, Ahmad Abdul
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3501

Abstract

Early detection of corn leaf diseases plays a crucial role in improving agricultural productivity. This study develops an automatic detection system for corn leaf diseases using a Convolutional Neural Network (CNN) implemented in a desktop-based GUI application. The model was developed using a transfer learning approach with a dataset of 2,400 corn leaf images divided into four classes: Blight, Common Rust, Gray Leaf Spot, and Healthy. The research stages included image preprocessing, model training and evaluation, and implementation of the trained model into an offline desktop application. Experimental results show that the CNN model achieved an accuracy of 90.00%, with precision of 90.02%, recall of 90.00%, and an F1-score of 90.00%. The Healthy class demonstrated the best performance, while the Blight class showed the lowest but remained in a good category. The developed system enables fast, practical, and efficient disease detection and has the potential to support objective early diagnosis in agriculture.Keywords: CNN; Deep Learning; Disease Detection; Corn Leaf; Transfer Learning  AbstrakDeteksi dini penyakit daun jagung berperan penting dalam meningkatkan produktivitas pertanian. Penelitian ini mengembangkan sistem deteksi otomatis penyakit daun jagung menggunakan metode Convolutional Neural Network (CNN) berbasis aplikasi GUI desktop. Model dikembangkan dengan pendekatan transfer learning menggunakan 2.400 citra daun jagung yang terbagi dalam empat kelas, yaitu Blight, Common Rust, Gray Leaf Spot, dan Healthy. Tahapan penelitian meliputi preprocessing citra, pelatihan dan evaluasi model, serta implementasi model ke dalam aplikasi desktop yang dapat digunakan tanpa koneksi internet. Hasil pengujian menunjukkan akurasi sebesar 90,00%, precision 90,02%, recall 90,00%, dan F1-score 90,00%. Kelas Healthy memiliki performa terbaik, sedangkan kelas Blight terendah namun tetap dalam kategori baik. Implementasi sistem memungkinkan proses deteksi dilakukan secara cepat, praktis, dan efisien. Sistem yang dikembangkan berpotensi mendukung deteksi penyakit secara objektif serta membantu meningkatkan produktivitas pertanian.Kata kunci: CNN; Deep Learning; Deteksi Penyakit; Daun Jagung; Transfer Learning
Klasifikasi Penulisan Huruf Hijaiyah Menggunakan Algoritma Convolutional Neural Network Pada TPQ I’anatut Tholibin fatmarini, dini; Riadi, Aditya Akbar; Chamid, Ahmad Abdul
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3531

Abstract

This research was conducted due to difficulties in recognizing handwritten Hijaiyah letters at TPQ I’anatut Tholibin caused by variations in writing styles and similarities among letters. The study aims to develop a handwritten Hijaiyah letter classification system based on a Convolutional Neural Network (CNN) using the MobileNetV2 architecture. The research employed a Research and Development (R&D) approach, including real-time data collection from students’ handwritten samples, image preprocessing (resizing to 224×224, pixel normalization, and augmentation), model design using transfer learning, training, and testing. Model evaluation was performed using test data that were not involved in the training process, with performance assessed through a confusion matrix and metrics such as accuracy, precision, recall, and F1-score. The experimental results show that the model achieved an accuracy of 78.46% with a macro F1-score of 77.29%, indicating a reasonably good and balanced classification performance across classes. The system was implemented as a web-based application supporting real-time testing through direct writing on a digital canvas, enabling interactive classification. These findings demonstrate that MobileNetV2 is effective for handwritten Hijaiyah letter classification and has potential as an intelligent learning support tool.Keywords: Hijaiyah letters; Convolutional neural network; MobileNetV2; Image classification; Real-time systemAbstrakPenelitian ini dilakukan karena pengenalan tulisan tangan huruf hijaiyah di TPQ I’anatut Tholibin masih terkendala variasi bentuk tulisan dan kemiripan antar huruf. Penelitian ini bertujuan mengembangkan sistem klasifikasi tulisan tangan huruf hijaiyah berbasis Convolutional Neural Network (CNN) dengan arsitektur MobileNetV2. Metode yang digunakan adalah Research and Development (R&D) dengan tahapan pengumpulan data tulisan tangan murid secara real-time, pra-pengolahan citra (resizing 224×224, normalisasi piksel, dan augmentasi), perancangan model dengan pendekatan transfer learning, pelatihan, dan pengujian. Pengujian dilakukan menggunakan data uji yang tidak dilibatkan dalam proses pelatihan, dengan evaluasi performa menggunakan confusion matrix dan metrik akurasi, precision, recall, dan F1-score. Hasil pengujian menunjukkan bahwa model mencapai akurasi sebesar 78,46% dengan nilai macro F1-score 77,29%, yang menandakan performa klasifikasi yang cukup baik dan relatif seimbang antar kelas. Sistem diimplementasikan dalam aplikasi web dengan pengujian real-time melalui penulisan langsung pada kanvas digital sehingga klasifikasi dapat dilakukan secara interaktif. Temuan ini menunjukkan MobileNetV2 efektif untuk klasifikasi huruf hijaiyah tulisan tangan dan berpotensi sebagai alat bantu pembelajaran.Kata Kunci: Huruf hijaiyah; Convolutional neural network; MobileNetV2; Klasifikasi citra; Sistem realtime
Analysis and Development of a School Platform with a User Experience Approach at Samirejo 3 Elementary School Zuliana Nurul Jannah; Aditya Akbar Riadi; Rizkysari Meimaharani
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/wnxj8m38

Abstract

The digitization of educational services has become an important need for schools to improve the effectiveness of data management and information delivery. Samirejo 3 Elementary School still applies manual processes in attendance recording, information management, and communication with parents, resulting in frequent delays and inaccuracies in data. This study aims to analyze and develop a web-based school platform using a user experience (UX) approach to make the system easier to use and better suited to user needs. The research methods include observation, interviews, and literature study, while system development uses the Waterfall model. System evaluation is conducted using User Acceptance Testing (UAT) and the System Usability Scale (SUS). UAT involved 10 respondents consisting of admins, teachers/class guardians, and parents, with an average result of 95.6%, indicating that the system was very well accepted. UX testing using the SUS method involved the same respondents and obtained an average score of 79, which falls into the "Good" category, indicating that the system is easy to understand, efficient, and comfortable to use. The research results show that this platform can enhance data management efficiency, accelerate information dissemination, and provide a more optimal user experience. Thus, the developed platform supports the school's digital transformation and improves the quality of information services at Samirejo 3 Elementary School.
Web-Based Customer Loyalty Point System Using QR Code with Whatsapp Notification and Reward Management at Bismole Elektrik Store Qatrhunnada Abiyu Akhdan; Aditya Akbar Riadi; Ahmad Abdul Chamid
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 3 (2026): August
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/apv6sm19

Abstract

The development of information technology encourages retail business operators to implement digital systems to improve service quality and operational efficiency. At Bismole Elektrik Store, the processes of recording customers, purchase transactions, and calculating loyalty points were previously done manually, leading to data-recording errors and slowing down the service process. Based on the observation of 120 customer transaction data and interviews with 2 store owners and cashiers, several issues were found, such as difficulties in searching for customer data and discrepancies in point calculations. This research aims to develop a web-based customer loyalty point system using QR codes as a digital customer identity integrated with reward management, sales reports, and real-time WhatsApp notifications. The system development uses the Waterfall method, which consists of the stages of requirements analysis, design, implementation, testing, and maintenance. The system is developed using the programming languages PHP, HTML, CSS, JavaScript, and the MySQL database. The system evaluation was conducted using the black-box testing method with 9 testing scenarios and user acceptance testing involving 5 users consisting of the store owner, cashier, and customers. The results of the black box testing showed that all system features operated with a success rate of 100%, while the user acceptance testing results indicated a user satisfaction level of 92%, demonstrating that the system is easy to use and capable of supporting store operational activities. The research results show that the implementation of QR codes can accelerate the customer identification process, automate point calculations, manage the reward redemption process, and provide transaction information through WhatsApp notifications. Thus, the developed system can enhance the efficiency and accuracy of managing the customer loyalty program at Toko Bismole Elektrik.
Smart Virtual Guide: Chatbot Cerdas Sistem Informasi Goa Terawang dengan Analisis User Adoption Rosvika Dwi Umanisti; Aditya Akbar Riadi; Rizkysari Meimaharani
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 3 (2026): Juni 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i3.9807

Abstract

Most local tourist destinations in Indonesia still rely on static information systems that are unable to provide real-time responses to visitors, including the Terawang Ecopark Cave in Blora Regency, Central Java. This research developed an intelligent chatbot called Smart Virtual Guide based on the Large Language Model (LLM) which is integrated into the information system of Goa Terawang Ecopark, as well as analyzing the level of user acceptance using the Technology Acceptance Model (TAM). Different from previous tourism chatbot research which is generally based on conventional NLP and only supports one language, the novelty of this research lies in the integration of LLM with the support of Indonesian and Javanese at the same time in local tourist destinations. The development of the system uses the Waterfall method with functional testing through Black Box Testing and data collection from 30 respondents using a Likert scale questionnaire. The results of the Black Box Testing test showed that all features were valid, while the TAM results obtained an average percentage of 80.95% (Good category) on the PEOU, PU, BI, and ATU variables. These findings prove that LLM-based approaches with regional language support are effective in improving the quality of digital tourism information services that are more interactive, inclusive, and adaptive.
Desain Implementasi Kasir Digital dan Pengelolaan Stok Barang Dengan Menggunakan Metode Economic Order Quantity (EOQ) Herlambang Dwi Prasetyo; Aditya Akbar Riadi; Rizkysari Meimaharani
Jurnal Ekonomi Manajemen Sistem Informasi Vol. 7 No. 1 (2025): Jurnal Ekonomi Manajemen Sistem Informasi (September-Oktober 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jemsi.v7i1.6490

Abstract

Toko Bu Ramini masih mengandalkan pencatatan stok barang kasir secara manual, yang rentan menimbulkan kesalahan seperti data tidak akurat, kelalaian, serta keterlambatan dalam pembaruan informasi. Cara pencatatan manual ini menyulitkan pemantauan stok secara langsung, sehingga sering terjadi kelebihan atau kekurangan persediaan yang tidak disadari, serta berpotensi munculnya kesalahan dalam pencatatan transaksi penjualan yang menggunakan nota kertas. Untuk mengatasi kendala tersebut, diperlukan pengembangan sistem berbasis web yang menggabungkan pengelolaan stok dan sistem kasir guna meningkatkan efisiensi dan ketepatan pencatatan. Sistem ini akan dibuat dengan menggunakan metode Agile secara bertahap dan iteratif, sehingga memungkinkan perbaikan berkelanjutan berdasarkan masukan dari pengguna. Dalam proses pengembangan, perancangan sistem dilakukan dengan menggunakan Unified Modeling Language (UML) untuk memodelkan kebutuhan dan desain sistem secara visual sehingga memudahkan komunikasi serta dokumentasi antara pengembang dan pengguna. Dalam penelitian ini, metode Economy Order Quantity (EOQ) dipilih sebagai pendekatan kontrol persediaan untuk mengurangi biaya pemesanan dan penyimpanan. Dengan penerapan sistem tersebut, diharapkan proses pencatatan stok dan transaksi penjualan dapat dilakukan secara real-time dan mengurangi risiko kesalahan, sekaligus mencegah kekurangan stok serta memberikan informasi akurat untuk pengisian ulang barang di toko. Selain itu, keberadaan sistem kasir yang telah terkomputerisasi akan mempermudah dan menjamin ketepatan pencatatan transaksi, sementara pengelolaan stok berbasis EOQ membuat manajemen persediaan di Toko Bu Ramini menjadi lebih optimal, sehingga terhindar dari penumpukan maupun kekosongan barang.
Perancangan sistem informasi pencatatan keuangan di TK Lestari berbasis website Vera Meirotun Hidayatika; Aditya Akbar Riadi; Evanita
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 4 No. 1 (2024): Maret
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v4i1.2825

Abstract

Proposal skripsi ini dibuat untuk memenuhi sebuah tujuan yaitu untuk membantu proses pencatatan dan pengelolaan keuangan menggunakan sistem informasi pencatatan keuangan bebasis web. Saat ini, sistem informasi berbasis komputer merupakan kebutuhan utama untuk akses informasi di berbagai sektor, termasuk pendidikan. Fungsinya mencakup pengumpulan, pengolahan, dan penyajian informasi untuk mendukung pengambilan keputusan. Institusi pendidikan seperti TK Lestari di Pati, Jawa Tengah, memanfaatkan teknologi untuk efektivitas pengelolaan keuangan. Namun, pengelolaan keuangan di TK Lestari masih mengandalkan pencatatan manual, menyebabkan kompleksitas dan potensi kesalahan dalam laporan keuangan. Oleh karena out, penulis mengadopsi dan memilih judul pengembangan sistem informasi laporan keuangan untuk mendukung administrasi TK Lestari. Tujuannya adalah menyederhanakan dan mengorganisir laporan keuangan sesuai standar akuntansi, meminimalkan kesalahan, dan memudahkan proses komputerisasi data.
Implementasi Metode Forward Chaining untuk Rekomendasi Jurusan Perguruan Tinggi Berdasarkan Minat dan Bakat MA XYZ Shofa Allaisya; Aditya Akbar Riadi; Rizkysari Meimaharani
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9463

Abstract

Choosing a college major is a crucial decision for final year students as it impacts their academic success and future career paths. However, the process of selecting a major is often carried out without objectively considering students' interests and talents, which can lead to mismatches in the learning process. This study aims to develop an expert system-based college major recommendation system using the Forward Chaining method to analyze students' interests and talents. Interest and talent data are obtained through questionnaires filled out by students independently through the system, then used as the initial basis for the conclusion-making process. The knowledge base is structured in the form of IF–THEN rules that link interest and talent characteristics with specific majors and their respective weights. The inference process is carried out by matching existing facts with available rules to produce a suitability score for each major. The results of the study show that the system is able to provide logical and structured major recommendations according to students' interest and talent profiles. The results of system testing on student data indicate that the system is able to produce logical and consistent major recommendations. Functional testing using the Black Box Testing method shows a success rate of 100%, indicating that all system functions run according to the specified requirements.
Co-Authors A, Ifta Abdul Abdullah, Khabib Ahmad Abdul Chamid Ahmad Lutfi Hakim Akh Sokhibi Alif Catur Murti Alvin Rainaldy Hakim Aminatus Syarifah Andre Tri Saputra Arief Susanto Azami, Farich Al Christian Yoga Megatama Darsilowati Darsilowati Dicky Prasetiyo Durrun Nada Amarylis Dwimaelani, Riska Dwyan Akbar Putra Esti Wijayanti Esti Wijayanti, Esti Evanita Evanita Evanita, Evanita Evanita, E Fadhilah, Norma Farich Al Azami Farichah, Ainul fatmarini, dini Fera Anggraini Fistiana Fistiana, Fera Anggraini Gabriel Dwiki Ari Permadani Gunawan, Bagus Suseto Hanik Hidayati Herlambang Dwi Prasetyo Ifta Abdul A Indra Lina Putra Intan Nabila Hilma Ivan Bagus Prasetiyo Jannah, Zuliana Nurul Khabib Abdullah Khilmawan, Muhammad Rizqi Khoirun Nisa', Nining Khusna, Nor Milatul Mahendra, Vicki Yuda marta, amelia vidora revita Maulana Aditya Yusman Muhammad Imam Ghozali Murniawati, Mita Ningrum, Diah Ayu Cahya Oktavianus, Yohanes Pegianti, Nanda` Prasetiyo, Dicky Prasetyo, Herlambang Dwi Putra Aprilian Prastianing Huda Putra, Indralina Lina Qatrhunnada Abiyu Akhdan Ratih Nindyasari Riasti, Savira Rizal Ramli, Rizal Rizkysari Meimaharani Rizkysari Meimaharani Rosvika Dwi Umanisti Salsabila, Karima Salsabilah, Nisrina Rona Sari, Fadia Karlika Shofa Allaisya Shofiana, Arista Sokhibi, Akh Sokhibi, Akh Sri Lestari Sugiarto, Elmalia Risma Putri Sukmawati, Zesiy Risna Dewi Syirojuddin, Ahmad Idris Syukron, Muhammad Habib Tri Listyorini Ulayya Salmaa Khoirunnisaa UMAM, MUHAMAD KHOTIBUL Vera Meirotun Hidayatika Vicki Yuda Mahendra Wibowo Harry Sugiharto Wulandari, Gilang Ayu Yehezkiel Febri Kurniawan Yehezkiel Febri Kurniawan Yudha, Raka Gifaris Anega Yuliana Fitriani Yuliana Fitriani Zuliana Nurul Jannah