Article Per Year (5 Year)
p-Index From 2021 - 2026
20.279
P-Index
This Author published in this journals
All Journal Prosiding SNATIF Infotech Journal PROCEEDING IC-ITECHS 2014 JITEK (Jurnal Ilmiah Teknosains) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI INTECOMS: Journal of Information Technology and Computer Science IJISTECH (International Journal Of Information System & Technology) Indonesian Journal of Applied Informatics Jurnal Teras Kesehatan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Teknologi Terpadu Journal of Information System, Applied, Management, Accounting and Research Jurnal ICT : Information Communication & Technology Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Manajemen Informatika dan Sistem Informasi Generation Journal JTIK (Jurnal Teknik Informatika Kaputama) G-Tech : Jurnal Teknologi Terapan Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Bumigora Information Technology (BITe) Journal of Advanced in Information and Industrial Technology (JAIIT) Infotek : Jurnal Informatika dan Teknologi Madaniya Tematik : Jurnal Teknologi Informasi Komunikasi Infotech: Journal of Technology Information Journal of Computer Networks, Architecture and High Performance Computing SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Teknik Informatika (JUTIF) IJISTECH Infotech: Jurnal Informatika & Teknologi Jurnal Pendidikan dan Teknologi Indonesia DEVICE International Journal Software Engineering and Computer Science (IJSECS) Jurnal Dinamika Informatika (JDI) Jurnal Teknik Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Asian Journal of Community Services (AJCS) Mafaza : Jurnal Pengabdian Masyarakat STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Proceeding of International Conference Health, Science And Technology (ICOHETECH) Journal Research of Social Science, Economics, and Management Adopsi Teknologi dan Sistem Informasi Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Innovative: Journal Of Social Science Research Journal of Software Engineering and Information System (SEIS) Journal Of Artificial Intelligence And Software Engineering SmartComp Jurnal Ilmu Komputer dan Sistem Informasi RESLAJ: Religion Education Social Laa Roiba Journal Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) International Journal of Community Service Implementation Jurnal Teknik Silitek
Maulindar, Joni
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Veterinary Other

Published : 176 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 176 Documents
Search

 9   10   11   12   13 
Penerapan Algoritme Decision Tree Pada Klasifikasi Penyakit Kanker Paru-Paru Putra, Hadi Widya Nugraha Surya; Atina, Vihi; Maulindar, Joni
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 12, No 3: Desember 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v12i3.1323

Abstract

One of the deadliest diseases in the world is lung cancer. It is the biggest trigger of cancer-related deaths than any other type of cancer. The cause of this disease is due to uncontrolled cell growth in the body. Through classification, lung cancer patterns can be found. One of the widely used classificastion methods is the Decision Tree techniques. The Decision Tree C4.5 technique is a simple classification algorithm but has high performance and accuracy. This algorithm can generate decisions by forming a decision tree and can be used to predict lung cancer. From the result of the test carried out, a considerable accuracy was obtained, namely 89% with a Precission of 70% and Recall of 74.5%.Keywords: Data Mining; Classification, Decision Tree C4.5, Lung Cancer AbstrakSalah satu penyakit yang paling mematikan didunia adalah penyakit kanker paru-paru. Penyakit ini adalah pemicu terbesar kematian terkait kanker dibanding setiap jenis macam penyakit kanker lainnya. Penyebab tingginya angka kematian pasien kanker paru-paru disebabkan karena terlambat dideteksi. Klasifikasi memungkinkan untuk menemukan pola pada kanker paru-paru, yang memungkinkan pendeteksian awal penyakit kanker paru-paru. Salah satu teknik klasifikasi yang banyak digunakan adalah Decision Tree. Metode Decision Tree C4.5 merupakan teknik klasifikasi sederhana dengan performa dan akurasi tinggi. Algoritme ini dapat digunakan untuk memprediksi kanker paru-paru. Dari hasil pengujian yang dilakukan didapatkan akurasi yang cukup besar yaitu 89%, dengan Precission sebesar 70% dan Recall sebesar 74.5 %.
Desain dan Implementasi Sistem Pemantauan Stok Barang Berbasis IoT untuk Produk Segar Hartanto, Didik Mayur; Hartanti, Dwi; Maulindar, Joni
Jurnal Pendidikan dan Teknologi Indonesia Vol 4 No 11 (2024): JPTI - November 2024
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.504

Abstract

Efisiensi pengelolaan stok barang dagangan menjadi tantangan penting dalam operasional toko kecil, toko kelontong, dan swalayan. Kekosongan atau kelebihan stok dapat menyebabkan kerugian finansial, penurunan kualitas layanan, serta potensi kerusakan barang, terutama pada produk segar. Pemantauan stok secara manual seringkali tidak efektif dan rawan kesalahan. Untuk mengatasi masalah ini, penelitian ini menyajikan sistem pemantauan ketersediaan stok berbasis Internet of Things (IoT) yang memanfaatkan sensor berat untuk mendeteksi perubahan stok produk secara real-time. Sistem dirancang dengan mengikuti model pengembangan Waterfall, dimulai dari tahap analisis kebutuhan, perancangan perangkat keras dan lunak, implementasi, pengujian, hingga evaluasi pemeliharaan. Mikrokontroler ESP32 digunakan sebagai pengolah data dari sensor berat, yang kemudian dikirimkan ke platform IoT melalui aplikasi Blynk untuk memberikan notifikasi otomatis saat stok mulai menipis. Data dapat diakses melalui perangkat pintar untuk memastikan pengisian ulang stok dilakukan tepat waktu. Berdasarkan pengujian, sistem ini mampu meningkatkan efisiensi pengelolaan stok hingga 30% dibandingkan metode manual, mengurangi risiko kekosongan dan kelebihan stok, serta meminimalkan kerusakan atau pembusukan pada produk segar. Penelitian ini berkontribusi signifikan terhadap pengembangan teknologi IoT, khususnya dalam manajemen stok barang dagangan, dengan mendukung efisiensi operasional toko kecil dan swalayan serta meningkatkan kepuasan pelanggan melalui penyediaan produk segar sesuai permintaan.
Leveraging AI and Data Science to Increase Student Engagement through Interactive Learning prastiwi, yuyun; Maulindar, Joni
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1634

Abstract

Student engagement in the learning process is often a challenge, especially in modern educational environments that require adaptation to interactive technology. This research aims to explore the application of artificial intelligence (AI) and data science in increasing student engagement through interactive learning. This research uses quantitative methods with a descriptive approach, analyzing participation data, system interactions, motivation, age and education level from 50 students at the upper secondary level. The results showed that the average frequency of student participation reached 12.86 times per week with a standard deviation of 4.19,indicating that although the involvement of most students was quite high, there was still significant variation. Learning system interactions had an average of 27.8 times, indicating thatstudents actively utilized available technology, with a minimum of 10 times and a maximum of 49 times during the observation period. In terms of student motivation, the average Likert score is 4.02 on a scale of 1–5, indicating a high level of motivation, with a maximum score of 4.94. The average age of students is 15.38 years, with the majority being in grade 12, according to the mode in the education level variable. Further analysis shows that these variables have a positive correlation in supporting student engagement. This shows that the use of AI-based technology can encourage students to be more actively involved in learning, while maintaining their high levels of motivation. This research concludes that the application of AI and data science can be an effective solution to increase student engagement, especially if the system is designed personally and adaptively according to individual characteristics.
Leveraging Data Science and AI-Based Analytics to Enhance Immersive Learning Experiences in Education Dewi, Nandita; Maulindar, Joni
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1655

Abstract

Technology-based learning faces challenges in effectively increasing student engagement, motivation, and understanding in the context of continuing education. This study aims to explore the role of data science and AI-based analytics in supporting immersive learning experiences to improve learning outcomes. The research method used is descriptive and correlational statistical analysis of data from 50 students with various metrics, such as engagement scores, motivation, understanding, retention, AI feedback accuracy, VR content quality, learning duration, device compatibility, and network stability. The results showed that the average student engagement score was 77.45, motivation 78.57, and understanding 81.16, with each showing a significant positive relationship to learning retention (average 61.11). AI feedback accuracy had an average score of 84.66, indicating the significant contribution of AI technology in improving student understanding. VR content quality had an average score of 89.76, indicating that well-designed content can improve students' learning experiences. The average learning duration was 84.26 minutes, with a moderate correlation to understanding (r = 0.72). However, technical challenges were found, such as a weak negative correlation between learning duration and network stability, indicating that connectivity issues may affect the learning process. The regression results showed that the model was only able to explain 17.86% of the variance in the dependent variable, so additional variables are needed for a more comprehensive understanding. This study concludes that the integration of AI and VR in education has great potential to improve learning experiences and outcomes, although there are still technical obstacles that need to be overcome to maximize its impact.
The Education and Training Program on Hospital Management Information System for Healthcare Workers in the Surakarta Region Maulindar, Joni; Sutrisna, EM; Studiviani Dwi Binuko, Raafika
International Journal of Community Service Implementation Vol. 2 No. 3 (2024): IJCSI DECEMBER 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijcsi.v2i3.228

Abstract

Healthcare workers in the Surakarta region still face challenges in understanding and operating the Hospital Management Information System, which impacts work efficiency and service quality. This program aims to enhance the competencies of healthcare workers through education and training based on lectures, simulations, and evaluations via pre-test and post-test assessments. The community service method included delivering lecture materials, practical training with case simulations, and evaluating participants' comprehension improvements. The results show that the average pre-test score was 58, while the post-test score increased significantly to 85, reflecting a 46.6% improvement. Understanding of Hospital Management Information System concepts improved from 62 to 85, mastery of basic features from 58 to 88, and data analysis skills from 54 to 82. A total of 95% of participants found the training relevant and effective, while 89% expressed confidence in using Hospital Management Information System. Feedback from participants and hospitals indicated that the training successfully contributed to administrative efficiency and prepared healthcare workers for digital transformation.
Rancang Bangun Sistem Informasi Manajemen Inventarisasi Baglog Batalyon C Pelopor Satbrimob Polda Jateng Secara Qr Code Indrastata, Ilham Buyung; Maulindar, Joni; Atina, Vihi
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 4 (2024): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i4.490

Abstract

Batalyon C Pelopor of Central Java Satbrimob is a Polri agency unit under the auspices of the Brimob Unit Commander. This unit also has the task of fostering and improving personnel capabilities. The personnel of this unit are equipped with adequate special equipment for their duties. The logistics section inventory provides special equipment or other equipment needed while on duty, but problems were found in the manual inventory processing. In general, the design of this inventory management information system aims to provide information system management that can help manage logistics inventory with the prototype method and combine it with QR Code, in order to provide updates on the borrowing process, returns and valid results reports to the leadership. In research using the prototype method, there are several stages, including communication, quick plan, quick design modeling, construction of prototype, and deployment, delivery, and feedback. The development system in the form of a prototype that has been used in this study functions to help solve problems so that an Inventory Management Information System can be designed, built and proven to run well. The research results can be in the form of an inventory management information system for the logistics section of the Batalyon C Pelopor to implement borrowing (outgoing) and returning (incoming) activities, as well as valid report results addressed to the agency leadership.
Sistem Pakar Diagnosis Stunting Balita Dengan Metode Certainty Factor dan Forward Chaining Badrudin, Muhamad; Maulindar, Joni; Nurohman, Nurohman
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 14, No 1 (2025): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v14i1.7232

Abstract

Stunting pada anak di bawah usia lima tahun merupakan masalah serius di Indonesia, yang disebabkan oleh kekurangan gizi kronis dan infeksi berulang selama fase pertumbuhan kritis. Kondisi ini memiliki efek jangka panjang pada kesehatan dan perkembangan fisik, kognitif dan mental anak. Penanganan stunting membutuhkan intervensi dini yang tepat, namun diagnosis dan pengobatannya sering kali sulit dilakukan. Di era digital, teknologi informasi dan komunikasi, terutama sistem pakar, menawarkan solusi efektif untuk mengatasi masalah ini. Sistem pakar memanfaatkan pengetahuan dari para ahli untuk secara otomatis menghasilkan diagnosis dan rekomendasi. Penggunaan metode "Certainty Factor" dan "Forward Chaining" dalam sistem pakar telah terbukti ampuh dalam mendiagnosis masalah kesehatanPlatform berbasis web meningkatkan aksesibilitas dan skalabilitas serta memungkinkan penggunaan yang lebih luas. Oleh karena itu, pengembangan sistem pakar berbasis web dengan metode Certainty Factor dan Forward Chaining diperlukan untuk memudahkan deteksi dini dan penanganan stunting serta mengurangi risiko jangka panjang pada anak usia dini. Kesimpulan dari penelitian ini berdasarkan hasil perhitungan menggunakan metode certainty factor menghasilkan nilai diagnosa stunting dengan nilai CF 0,987 yang setara dengan akurasi 98,7%. Dari sini dapat disimpulkan dengan akurasi diatas bahwa pengguna telah mengalami hampir pasti penyakit stunting sesuai dengan gejala yang mereka pilih.
PREDIKSI KUALITAS GENTENG MANTILI BERDASARKAN KOMPOSISI BAHAN BAKU MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR Bahtiar, Yusuf; Maulindar, Joni; Yuliana, Margaretha Evi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5589

Abstract

Permasalahan yang dialami pada industri genteng saat ini adalah fluktuasi harga bahan baku dan ketersediaan bahan baku yang tidak menentu. Proses penentuan komposisi yang tepat melalui uji coba manual memerlukan waktu dan sumber daya yang dapat menghabiskan tenaga dan biaya. Oleh karena itu, diperlukan sebuah sistem yang dapat memprediksi kualitas genteng mantili. Tujuan penelitian ini untuk memprediksi kualitas genteng mantili berdasarkan bahan baku menggunakan algoritma K-Nearest Neighbor (K-NN). Komponen bahan baku yang digunakan yaitu tanah liat lempung, tanah liat hitam, tanah liat merah, tanah liat padas, tanah pasir sungai, dan kaolin. Klasifikasi prediksi yang digunakan dalam penelitian ini adalah "bagus" dan "tidak bagus". Data yang digunakan sebanyak 36, kemudian dipisahkan menjadi 26 data latih dan 10 data uji. Penelitian dimulai dengan memodelkan perhitungan K-NN menggunakan RapidMiner, kemudian dilanjutkan dengan mengembangkan sistem menggunakan bahasa pemrograman PHP dengan basis data MySQL. Pengujian pertama dilakuakan dengan nilai k=5 menggunakan 26 data latih dan 10 data uji, didapatkan hasil nilai akurasi sebesar 80% dan nilai error mencapai 20%. Pengujian kedua dilakukan dengan memasukkan data aktual yang diperoleh di lapangan menunjukkan hasil prediksi yang sesuai. Oleh karena itu, dapat disimpulkan bahwa sistem ini dapat digunakan untuk memprediksi kualitas genteng mantili.
Pengembangan Sistem Penerjemah Kalimat Bahasa Isyarat Bisindo To Text Dengan Kinect Real Time Aldin Fathiray; Joni Maulindar; Wiji Lestari
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.26116

Abstract

People with hearing and speech impairments often have difficulty communicating with the general public due to a lack of understanding of sign language. This results in social isolation and barriers to accessing information and education. The development of sign language translator technology is expected to improve communication and independence of people with disabilities. The methodology used in this research includes data collection through literature studies, questionnaires, and documentation. The BISINDO data processing algorithm in this research uses the Long short-term memory (LSTM) method to detect skeletons on the hands, face and body. The system implementation uses kinect to capture real-time hand movements. System development uses the Agile method to ensure functionality and fulfillment of user needs. From the evaluation results by testing system performance using confusion matrix by calculating accuracy, recall, precision and F1-Score values. As well as datasets taken in realtime with a total of 90 data, each consisting of 30 actions of my sign language, 30 actions of good sign language, 30 actions of iloveyou sign language. The results show that the system has an accuracy value of 1.0, recall 1.0, precision 1.0 and F-1 Score 1.0 with LSTM algortima, epoch 140 and response data that shows positive towards the system
Implementasi Algoritma K-Means Untuk Rekomendasi Pengadaan Buku Ardhianto, Aan; Dwi Hartanti; Joni Maulindar
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28134

Abstract

One of the main challenges faced by libraries is determining the procurement of book collections that align with the needs and interests of borrowers. At the Sragen Regency Archives and Library Service, book procurement is often based on intuition or unstructured requests, resulting in many books that are less popular among visitors. This leads to a low number of book borrowings, meaning the library cannot provide optimal services. Based on this issue, the author attempts to cluster the book borrowing data for the year 2023 from the Sragen Regency Archives and Library Service by age group, book categories, number of borrowings, number of titles, and number of copies using data mining techniques with the k-means clustering algorithm. For the initial data processing, the author uses the Min-Max normalization method. After normalization, k-means is calculated with 3 clusters, followed by finding the optimal cluster using the elbow method, silhouette, and gap statistics. The results of the optimal cluster are compared with the results from the Dunn Index method. The research identifies three clusters: Cluster 1 contains book groups with low interest, consisting of 7 categories: General Works, Social Sciences, Language, Pure Sciences, Applied Sciences, Arts and Sports, History and Geography; Cluster 2 contains book groups with moderate interest, consisting of 2 categories: Philosophy and Psychology, Religion; and Cluster 3 contains the book group with the highest interest, consisting of 1 category: Literature
Co-Authors Abdullah Abdullah Syaifudin Aditya Rachman Putra Afu Ichsan P Afu Ichsan Pradana Agil Husnul Khotimah Agustina Srirahayu Ahmad Qashid H Ahmad Setiawan Aji, Sindhu Purnomo Akbar Galih Saputra Akbar Akbar, Akbar Galih Saputra Akbar, Reza Maulana Aldin Fathiray Aliefian Hendra Wardana Ananda, Naufal Choirul Andreas Abi Permana Andrianto, Albertus Ari Anggit Hardiyanto Anggita, Febri Arif Anisatul Farida Anisatul Farida Annas Setiawan Prabowo Anugrah Putra, Muhammad Ardani, Hasby Arif Ardhianto, Aan Ardiyanto, Kevin Ardiyanto, Marta Arif Eko Fitrianto Arif Setiawan Arif Setiawan Arif Wicaksono Septyanto Arnan Dwi Arsandy, Noelino Grevansha Avianto Adi Pratama Awang Long, Zalizah Azza Al Abbas, Abdullah A’an Jati Susilo Badrudin, Muhamad Bagas Mutaqqi Bagaskara, Ikrar Bagos Erwanto bagus esti tomo Bagus Prakoso, Ahmad Bahrul Aziz Rifai BAHTIAR, YUSUF Bangun Prajadi Cipto Utomo Bayu Tri Pramono Berlian Agustina, Anggun Bondan Wahyu Pamekas brigitta harlim Che Mustapha, Jawahir Christopher Jody Widiyono Da Costa, Alexandre Daffa Ebtra Satria Dewi, Nandita Dewi, Nandita Sekar Sukma Dhimas Arya Rakadipa Didik Kurniawan Difan Agra Susilo Dika Adi Pratama Dimas Abimanyu Sutrisno Putro Dimas Cahyo utomo Dimas Galuh Pratama Dison Librado Dita Putra Pratama Divangga Revansa Arya Pradhana Dwi Hartanti Dwi Hartanti Dwi Hartanti Dwi Hartanti Dwi Kurniawan Saputro Dwi Resty Kartika Dwiirawan, Ridwan Dyah Aprimavista Cahyani Edy Kurniawan Ega Fuad Ibrahim Eko Purwanto Em Sutrisna Enggar Wijaya Putra Ery Permana Yudha Ery Permana Yudha Ester Anugrayningtyas Fachruddin Edi Fandi Aziz Pratama Fathur Iqbal Hilmi Ulhadi FAULINDA ELY NASTITI Febryan Djastin Arya Raharja Firdaus, Azkha Brilliant Fitria Eko Nurjanah Fitroh Ahmad Abdul Aziz Frisca Tri Arumsari Galang Prambudi Raka Kusuma Gibran Arya Pradana Guterres, Juvinal Ximenes Hafid Affan Wahid Hamna Zakiya , Nasywa Hani Rifdah Azizah Hanif Hilmi, Muhammad Hanif Nur Ahmad Hari Windiyastuti Harsanto Harsanto, Harsanto Hartanto, Didik Mayur Hasanah, Herliyani Hidayat, Almaranda Aisyanissa Hiyarunnisa Kahes Waypi Ibnu Bagus Setiawan Ichwani, Achmad Ila Aulia Rahmah immaculata yolia dewi Widayanti Indah, Ratna Puspita Indrastata, Ilham Buyung Indriyas Kukuh Wijayanti Intan Oktaviani Intan Oktaviani Iqbal Hanan Junaidi Irawan, Egie Irawan, Ridwan Dwi Irfan Ramadhan Istiana Hanifah Istiqomah, Yasinta Jawahir Che Mustapha Yusuf Jawahir Che Mustapha Yusuf Jofan Fathurahman Juvinal Ximenes Guterres Karlina Kusuma Ningrum Kevin Yoga Ananta Kurniawan, Daniel Ade Leny Monica Lidia Earlene Rendhiva Lintang Surya Lola Sekar Arum Lufti Puspitasari Margaretha Evi Yuliana Margaretha Evi Yuliana Mashkul Ryan Ibrahim Matin Muhith Meraldy Fiko Rastio Ajie Mink Poo Lexy Utomo Mink Poo Lexy Utomo Mira Erlinawati Moh Muhtarom Moh. Muhtarom Moh. Muhtarom Moh. Mutarom Muhammad Daivany Nur Auliya Saleh Muhammad Nur Ikhsanudin Mulyanto, Hari Munawaroh, Maysani Mustapha, Jawahir Che Nadia Hepyntha Nailurrizqi, Adistya Nanda Ramadhani, Fikko Nandita Sekar Sukma Dewi Nibras Faiq Muhammad Ningrum, Karlina Kusuma Nugroh, Heri Nur Auliya Saleh, Muhammad Daivany Nur Cahyo Nugroho Nurchim Nurdina Aulia Agustina Nurfadilah Nurfadilah Nurlaili, Dewi Nurohman Nurohman, Nurohman Nurrohman Oktaviyana Dwi Hendra Jati Permatasari, Hanifah Pipin Widyaningsih, M.Kom. Praba M.A.R.K Pramoedya Ananta Dzikri Pramono Pramono Pramono prastiwi, yuyun Prastya, Alvian Bagus Prastyo, Okik Dwi Pratiwi, Dinita Christy Pujiati Edy Santoso, Elysa Mei Puput Dwi Mandiri Puput Dwi Mandiri Putra Pradana, Gibrand Putra, Hadi Widya Nugraha Surya Raafika Studiviani Dwi Binuko Raditya Koesyan Dipo P Radya Prameswari Putri Rais Suryo Wahono Ramasya Alief Islami Raihan Ratna Puspita Indah Rendi Enggar Bintang Pratama Restu Gilang Wijanarko Reza Mar Hendra Putra Ridzkyan Buti Pratama Rifa'i, Rifan Rifan Amirul Hafizh, Muhammad Rifqi Firdausi Arafad Riska Rosita Rizki Hendra Rizqy Mahendra Abdul Rahman Romy Rajawali Nusantara Saifullah Rudi Susanto Saifudin Umar Sandy Yustisio O Sandy Yustisio Okta Viandra Saputra, Muchammad Yoga Setiawan, Gilang Setya Pradhana, Wahyudi Shelvi Azizah Shoffia Fajrin Sindhu Purnomo Aji Singgih Purnomo SRI SUMARLINDA Suci Bunga Pritalina Sudarminingsih Sudarminingsih Sulistyo Adi Prasetyo Syahrul Agung Fathoni Tasya Mutiara Diva Tasya Mutiara Diva Tesalonika, Angel Tigar Riski Septiono Titi Jayanti Tiur Bunga Gadissa Tory, Alfa Rado Andre Yusa Saka Tri Endah Purnamawati Vihi Atina Vita Sofia Prihatini Wahyu Adi Pratama Wahyu Aji Saputro, Lintang Wahyu Kuncoro Warihaji, Wijasena Warta, Danu Widayanti, immaculata yolia dewi Wihan Perkasa Nugraha Putra Wijayanti, Indriyas Kukuh Wijayanti, Sefi Ayuk WIJI LESTARI Wiji Lestari Wijiyanto Yafa Arsyida Aulia Rakhma Yasinta istiqomah Yeyen Santi Putri Yoma Patria Risky, Satya Yusuf Bahtiar Zaenuar Erfandi Zalizah Binti Awang Long