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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan EKSAKTA: Journal of Sciences and Data Analysis Jurnal Ilmiah Informatika Komputer Prosiding SNATIF Jurnal Informatika dan Teknik Elektro Terapan Journal of Information System Sistem : Jurnal Ilmu-Ilmu Teknik INTEGER: Journal of Information Technology JIKO (Jurnal Informatika dan Komputer) JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) JURNAL ILMIAH INFORMATIKA Jurnal Infomedia JURNAL PENDIDIKAN TAMBUSAI Jurnal Teknik Elektro dan Komputer TRIAC JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Teknologi Terpadu JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Jurnal Informatika dan Rekayasa Elektronik bit-Tech JE-Unisla ILKOMNIKA: Journal of Computer Science and Applied Informatics Generation Journal JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Nusantara Science and Technology Proceedings Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Ilmiah Teknologi Informasi dan Robotika HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Journal of Information System and Technology (JOINT) Jurnal Teknologi dan Manajemen TIERS Information Technology Journal Jurnal Informatika, Komputer dan Bisnis (JIKOBIS) International Journal Of Computer, Network Security and Information System (IJCONSIST) ALINIER: Journal of Artificial Intelligence & Applications MATHunesa: Jurnal Ilmiah Matematika Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) SinarFe7 Jurnal Informatika Software dan Network (JISN) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer VARIANSI: Journal of Statistics and Its Application on Teaching and Research STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Journal of Informatics and Electronics Engineering J-Icon : Jurnal Komputer dan Informatika TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Jurnal Informatika Polinema (JIP) VISA: Journal of Vision and Ideas Journal of Innovative and Creativity Journal of Technology and System Information Journal of Software Engineering and Multimedia (JASMED) Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Himpunan: Jurnal Ilmiah Mahasiswa Pendidikan Matematika Brilliant International Journal of Management and Tourism Jurnal Informatika Dan Tekonologi Komputer Jurnal Nasional Teknologi Informasi dan Aplikasinya Journal of Informatics and Vocational Education Journal of Advanced Informatics and Sustainable Intelligent Systems
Anggraini Puspita Sari
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Implementasi Modified K-Nearest Neighbor (MKNN) untuk Deteksi Penyakit Anemia Putra Dwi Wira Gardha Yuniahans; Anggraini Puspita Sari; Yisti Vita Via
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 1 (2025): Juni 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i1.13425

Abstract

Anemia is a condition where the hemoglobin level in the human body drops below the normal threshold. It can cause several negative effects, such as delayed psychomotor development, a higher risk of infectious diseases, and in women, the possibility of premature birth. Therefore, early detection of anemia is essential to speed up treatment and recovery. One method that can support the diagnostic process is machine learning, particularly the Modified K-Nearest Neighbor (MKNN) algorithm. MKNN is an improved of standard KNN, incorporating additional steps such as validity calculation and weighted voting, which are not present in the original version. In this study, MKNN was applied to detect anemia and achieved an accuracy of 84% using a 75:25 train-test data split and k=5. The dataset was collected from Jemursari Hospital in Surabaya, consisting of 100 patient records. These records were used to evaluate the performance of the MKNN algorithm in anemia detection.
Comparison of C4.5 Decision Tree and Naive Bayes Algorithms for Classification of Nutritional Status in Stunting Toddlers Ishak Febrianto; Anggraini Puspita Sari
IJCONSIST JOURNALS Vol 5 No 1 (2023): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v5i1.122

Abstract

Stunting is a condition where growth and development of children under 5 years of age is impaired due to chronic malnutrition. Data mining with classification techniques on the nutritional status of stunting toddlers can be performed to help identify toddlers experiencing stunting and provide objective measurements of their nutritional status. There are several classification methods, but this research will compare the performance of the C4.5 decision tree algorithm, which is included in the decision tree approach, and naive Bayes, which uses a probability-based approach of class occurrence in classifying nutritional status of stunting toddlers, with discretization performed in the preprocessing stage. The data used in this research was obtained from Jagir Health Center, Surabaya, in the form of secondary data on toddler nutrition in 2021, totaling 2,801 records. The labeling of stunting or normal in the dataset uses the reference of child anthropometric standards in Indonesia as stated in the Republic of Indonesia Minister of Health Regulation number 2 of 2020. The best method based on the AUC (Area Under the Curve) value was the C4.5 decision tree with a value of 86% (good classification), while naive Bayes achieved 77% (fair classification) using a 70:30 training and testing data ratio.
Design and Development of a Web-Based Application for Managing Incoming and Outgoing Letters Using Agile Methodology Masyhuri, Alif Syahda Adji; Rahmat, Basuki; Sari, Anggraini Puspita
ILKOMNIKA Vol 7 No 2 (2025): Volume 7, Number 2, August 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v7i2.739

Abstract

The management of incoming and outgoing correspondence in government institutions such as the Palesanggar Village Office is still carried out manually, leading to various problems such as delayed recording, difficulty in retrieving archived letters, and potential data loss. This study aims to develop a web-based Incoming and Outgoing Mail Information System to improve administrative efficiency and facilitate the archiving and reporting processes. Data were collected through direct observation, interviews with village officials, and literature review. The system development method used in this research is the Agile model, which consists of requirement analysis, system design, implementation, and testing phases. The result of this study is a web-based information system capable of recording, storing, and displaying data on incoming and outgoing letters in a structured manner and accessible to village staff. System testing shows that the application functions properly and is well received by users. The conclusion of this research is that the developed information system successfully addresses the issues of manual mail management and provides convenience and speed in archiving letter data at the Palesanggar Village Office.
Optimasi Hyperparameter Model GRU untuk Prediksi Harga Saham ANTM Subairi, Subairi; Sari, Anggraini Puspita; Mandyartha, Eka Prakarsa
ILKOMNIKA Vol 7 No 3 (2025): Volume 7, Number 3, December 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v7i3.817

Abstract

Prediksi harga saham berperan penting meminimalisir kerugian akibat fluktuasi harga saham. Penelitian ini bertujuan untuk meningkatkan akurasi prediksi harga saham PT Aneka Tambang Tbk (ANTM) menggunakan model Gated Recurrent Unit (GRU) dengan optimasi hyperparameter melalui metode Grid Search. Model GRU dipilih karena mampu mengatasi permasalahan vanishing gradient dan efektif dalam mempelajari pola ketergantungan jangka panjang pada data deret waktu walaupun dengan arsitektur yang sederhana. Sementara itu, Grid Search digunakan karena memiliki keunggulan dalam menjelajahi ruang hyperparameter secara menyeluruh, sehingga setiap kombinasi parameter dapat diuji dan memungkinkan diperolehnya konfigurasi terbaik. Proses Grid Search dilakukan dengan ruang pencarian hyperparameter yang mencakup jumlah units, jumlah epoch, ukuran batch, serta variasi optimizer. Keunggulan utama penelitian ini terletak pada penerapan optimasi hyperparameter yang mampu meningkatkan efektivitas model GRU dalam menemukan konfigurasi terbaik, sehingga menghasilkan prediksi harga saham yang lebih akurat dan stabil. Evaluasi kinerja model menggunakan metrik RMSE, MAE, MAPE. Hasil penelitian menunjukkan bahwa model GRU dengan optimasi Grid Search menggunakan optimizer Adam memberikan performa yang optimal dengan nilai evaluasi RMSE sebesar 67.8805, MAE sebesar 45.6501, dan MAPE sebesar 2.2309%. Temuan ini membuktikan bahwa optimasi hyperparameter melalui Grid Search mampu meningkatkan akurasi prediksi model GRU pada data harga saham.
ANALISIS MANAJEMEN RISIKO KEAMANAN INFORMASI SISTEM LAYANAN UPA-PKK UPN “VETERAN” JAWA TIMUR MENGGUNAKAN METODE NIST SP800-30 Suryantari, Putu Anggi; Aryananda, Rangga Laksana; Alhamda, Denisa Septalian; Sari, Anggraini Puspita; Prasetya, Dwi Arman
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8779

Abstract

Keamanan informasi merupakan aspek penting dalam penerapan sistem layanan berbasis teknologi informasi di lingkungan perguruan tinggi. Sistem layanan UPA PKK UPN Veteran Jawa Timur berperan dalam mendukung kegiatan pengembangan karier dan kewirausahaan mahasiswa serta alumni sehingga memerlukan pengelolaan risiko keamanan informasi yang terstruktur. Penelitian ini bertujuan untuk menganalisis risiko keamanan informasi menggunakan metode NIST SP 800-30. Tahapan penelitian meliputi identifikasi ancaman, identifikasi kerentanan, analisis pengendalian, penilaian tingkat kemungkinan dan dampak, serta penentuan tingkat risiko. Hasil penelitian menunjukkan bahwa risiko keamanan informasi pada sistem layanan UPA PKK berada pada kategori rendah, sedang, hingga tinggi, dengan risiko dominan berada pada tingkat sedang hingga tinggi, terutama pada aspek keamanan akses sistem dan pengelolaan data. Rekomendasi pengendalian difokuskan pada penguatan mekanisme autentikasi, pembaruan sistem secara berkala, serta peningkatan prosedur keamanan. Metode NIST SP 800-30 terbukti memberikan pendekatan yang sistematis dalam pengelolaan risiko keamanan informasi pada sistem layanan UPA PKK.
Analisis Konvergensi Newton–Raphson dalam Estimasi Titik Impas Penjualan Telur Ayam Kampung UMKM Surabaya Anggraini Puspita Sari; Deswita Choirun Nisa; Yogi Dwi Arsanti; Olivia Dewi Ramadhani Suryoningsih; Sischa Wahyuning Tyas
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.6691

Abstract

Free-range chicken eggs are an important commodity traded by Micro, Small, and Medium Enterprises, with prices that fluctuate across local markets and affect production planning. This study applies a nonlinear cost–revenue model and the Newton–Raphson method to determine the break-even point (BEP) using monthly price data from six traditional markets in Surabaya from January to October 2025. The analysis shows that most markets converge to a stable price of Rp48,000/kg, while markets with higher volatility require multiple iterations. The average selling price is Rp46,201.90/kg, forming the revenue function TR = 46,201.90Q and the cost function TC(Q) = 1,500,000 + 35,000Q. The BEP is achieved at Q* = 117.10 kg with total revenue equal to total cost of Rp5,410,040. These results confirm that the Newton–Raphson method provides stable and reliable BEP estimates for small-scale egg businesses
Diagnosis Awal Gangguan Psikologis Anak Menggunakan Fuzzy Logic dan Backward Chaining Siahaan, Renita Enjel; Anggraini Puspita Sari; Intan Ni'matul Fitri; Amelia Ananda Putri Lestari
Jurnal Informatika Polinema Vol. 12 No. 2 (2026): Vol. 12 No. 2 (2026)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i2.8902

Abstract

Gangguan mental pada anak kerap sulit untuk diidentifikasi sejak awal karena kurangnya kesadaran masyarakat dan keterbatasan akses professional. Penelitian ini bertujuan untuk merancang dan menerapkan sebuah sistem pakar berbasis web yang berfungsi sebagai alat untuk diagnosis awal gangguan mental pada anak. Sistem ini dibangun dengan menggabungkan Fuzzy Logic dan Backward Chaining. Fuzzy Logic dengan efisien untuk mengatasi ketidakpastian serta variasi dalam tingkat keseriusan gejala yang kompleks, sehingga memungkinkan representasi bertahap dari tingkat kemunculan gejala dan penilaian gejala utama yang lebih detail. Di sisi lain, Backward Chaining dipilih sebagai mekanisme inferensi berbasis aturan untuk mengarahkan proses diagnosis dari kemungkinan gangguan kembali ke gejala-gejala yang relevan. Sistem ini dikembangkan untuk mengenali sepuluh jenis gangguan mental anak yang umum, berdasarkan empat puluh gejala utama yang telah diteliti secara menyeluruh dan divalidasi oleh seorang psikolog profesional. Proses validasi ini menjamin relevansi dan ketepatan informasi yang diterapkan dalam sistem. Kontribusi dari penelitian ini adalah penyediaan alat diagnosis awal yang responsif dan mudah diakses, yang mampu menangani pola gejala dengan fleksibel. Hasil pengujian fungsional menunjukkan bahwa sistem dapat dengan baik mencocokkan pola gejala dengan kemungkinan gangguan. Diharapkan sistem ini akan menjadi sumber yang berguna bagi orang tua, guru, dan pihak-pihak terkait lainnya, untuk meningkatkan pemahaman tentang gangguan mental pada anak serta memberikan arahan diagnosis awal yang tepat dan terukur.
Analisis Penggunaan Logika Fuzzy Mamdani dan Sugeno untuk Memprediksi Shade Foundation Aprinia Salsabila Roiqoh; Hanin Fatma Soraya; Dela Ayu Putri Mayona; Nabila Anggita Luna; Anggraini Puspita Sari
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 1 (2024): JNATIA Vol. 3, No. 1, November 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v03.i01.p04

Abstract

The magnificence industry has developed quickly in later decades, expanding request for items that meet an assortment of shopper needs. One imperative angle in choosing magnificence items is finding an establishment color that suits your skin color. This investigates points to analyze the utilize of fluffy rationale, particularly the Mamdani and Sugeno strategy, in foreseeing the correct establishment shade based on varieties in skin color and suggestion. Definition of membership functions, definition of fuzzy rules, fuzzy interference and defuzzification are used as research methods. The data used was obtained from a random experiment by entering skin tone and undertone values into the program. Research results show that the shade of the foundation is greatly influenced by the color and undertone of the skin. Although there is a significant difference between the Mamdan and Sugeno method values, the final predicted base colors are not significantly different.This research strengthens the position of fuzzy logic as an effective method in improving the quality of products and services in the beauty industry, as well as solving the complex problem of determining the appropriate foundation shade for various skin types. It is hoped that the results of this research will make it easier for consumers and beauty professionals to choose the right foundation shade according to individual needs and preferences. 
Prediksi Kenaikan Penduduk Jawa Timur Menggunakan Metode Long Short Term Memory Atiqur Rozi; Muhammad Rohman Irsyadi; Sandy Nicholas; Anggraini Puspita Sari
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 3 (2024): JNATIA Vol. 2, No. 3, Mei 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v02.i03.p02

Abstract

This research aims to develop a prediction model for population increase in East Java using the Long Short Term Memory (LSTM) method. Historical population data from the previous period will be used as input to train the LSTM model. This approach is expected to produce accurate predictions about population growth in the East Java region. The LSTM method was chosen due to its ability to handle sequential data and long-term memory, which is in line with the characteristics of demographic data. This research will involve data pre-processing, LSTM model building, and model performance evaluation using relevant metrics. The results of this research are expected to contribute to a better understanding of population growth trends in East Java and provide a basis for more informed decision-making in future regional development planning and social policy. 
LSTM with Attention Optimization for IDR-USD Exchange Rate Forecasting Muhammad Abdullah Hafizh; Anggraini Puspita Sari; Henni Endah Wahanani
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3131

Abstract

This study proposes the application of the LSTM-Attention model to forecast the IDR exchange rate against the USD. Exchange rate stability is an important element in national and international economic resilience systems, as currency fluctuations can have a significant impact on trade, investment, banking, and household consumption. In the case of Indonesia, which is highly dependent on imported goods, exchange rate fluctuations cause an increase in import costs, rising inflation, and a decline in the competitiveness of export products in the global market, making accurate forecasting of exchange rate movements essential for economic policy, business strategy, and risk management. Statistical models such as ARIMA have been widely applied in exchange rate forecasting, but they have difficulty capturing the nonlinear of time series data. In recent years, machine learning methods such as Long Short-Term Memory (LSTM) have demonstrated their ability to handle timeseries data. Previous studies have shown that LSTM models generally outperform traditional methods, but they still face limitations in identifying important features across time steps. To overcome this problem, the Attention mechanism allows the model to focus on the most informative parts of the input sequence, thereby improving prediction accuracy. Experimental results show that the LSTM-Attention achieves MAPE of 1.28% and R2 of 0.97 and runtime 45% faster than BiLSTM. While BiLSTM achieved slightly higher accuracy, it’s required nearly twice the training time. Findings indicates that the proposed model offers practical choice for real-time exchange rate forecasting.
Co-Authors Abd Rabi’ Achmad Junaidi Achmad Junaidi, Achmad Achmad Yusuf Yulestiono Addien Haniefardy Adhi Dwi Saputra Adiguna Yudhanto Adila, Mar’atul Adinda Putri Budi Saraswati Aditya, Wigananda Firdaus Putra Adiyatma, Hesel Faza Afandi, Rizki Baehtiar Agung Darmawansyah Agung Mustika Rizki, Agung Mustika Agussalim, Agussalim Agustiardani, Salsa Pramudhita Ahmad Nadhif Fikri Syahbana Ajeng Listya Devani Aji Paringga Jati Akbar, Fawwaz Ali Akbar, M.Azriel Yaqi Al-Ayyubi, Iqbal Alam, Fajar Indra Nur Aldito Restu Wintama Alfajr, Achmad Yuneda Alfi Hendri Alhamda, Denisa Septalian Alif Bayu Ammarizky Alif Ernanda Putra Alvin Rama Saputra Alvin Amelia Ananda Putri Lestari Amrullah, Ahmad Wildan Ana, Vika Rafi Ananda Ayu Puspitaningrum Andre Leto Andreas Nugroho Sihananto Andreas Nugroho Sihananto Anindhyta, Erisa Dwi Xena Aninidta, Sophia ANUGRAH PRASETYA, RAJAWALI SHAKTIKA Aprinia Salsabila Roiqoh Aqil Salim, Mas Muhammad Ar Rafi, Mohammad Hafiz Ardelia, Danika Najwa Ardiansyah, Muhammad Dafa Arhinza, Rayhan Saneval Ariando, Aldo Pradana Aries Boedi Setiawan Arif Nur Cahyo Arif Rahman Hakim Arif Widiasan Subagio Arifani, Kahpi Baiquni Arifin, Hilda Desfianty Arini, Andhini Putri Ariningtyas, Imelda Dwi Arryanto, Bahiskara Ananda Arthansa, Radendha Muhammad Aryananda, Rangga Laksana Atiqur Rozi Aurelia Krisnanti Wijaya Awang Mohammad Ziadhasya Rizqaarrafi AZMI, ANDRA HUSNUL Azzahra Adelia Sabrina Salsabila Azzahra Asti Khairunnisa Bagus Satrio Wicaksono Basuki Rahmat Masdi Siduppa Bayu Setiawan Belva Cynara Trana Putri, Prudencia Bhaswara, Maulana Muzakki Bimantoro, Ryan Bagus Bisma Satrio Bimantoro Budiman, Daniel cahyono, wahyu eko Cinta Ramayanti Citra Firdausi, Putri Aulia Daffa Athallah Fauzan Damai Arbaus, Damai Damayanti, Natasya Meryl Dandi Azaidane Daniel Gloryo Nadirco Danika Najwa Ardelia Daniswara, Sena Danu Satrio Dea Rajwa Zahra Athaya Dela Ayu Putri Mayona Dela Puspita Lasminingrum Delia Citra Kurniasari Deswita Choirun Nisa Devinka Marta Legawa Dewi, Shanty Kurnia Dian Maharani, Dian Dimas Satria Prayoga Dody Pintarko Dody Pintarko Dwi Arman Prasetya Dwi Arman Prasetya Dwi Arman Prasetya Dwi Arman Prasetya Eka Maurita Eka Prakarsa Mandyartha Ekawati, Anies Eko Kuncoro Eko Kuncoro EKO WAHYUDI Elizabeth, Caritta Endyarni, Regina Caeli Erlina Erlina Ayunda Cahyanti Eva Salsabilla Eva Yulia Puspaningrum Fabio Arayya Pratama Fahlefi, Muhammad Reza Fahri Izzuddin Zulkarnaen Fajrina, Nur Septia Farhans, Muhammad Izzudin Fatan Izzatur Rahman Fatchur Rozci Fatma Novalia Kussumarani Fauzan, Daffa Athallah Fina Amru Millati Millati Firdaus Putra Aditya, Wigananda Firmantara, Wahyu Firza Prima Aditiawan Firzannabeel Aqila Rafid Gatot Yulisianto Gatut Yulisusianto Hafiyan Fazagi Adnanto Hamid, Aisyah Amalia Hanin Fatma Soraya Hendri, Alfi Henni Endah Wahanani Hilda Desfianty Arifin Hilya ‘Zada Mardhatilla Al Haadiy Hiroshi Suzuki Icham, Maulana Izuddin Audadi idhom, Mohammad Intan Ni'matul Fitri Intan Putri Mansyur Pratama Iqbal Bagus Satriawan Irsyadi, Muhamad Haidir Irsyadi, Muhammad Haidir Irsyadi, Muhammad Rohman Irwansyah, Ferry Ishak Febrianto Ismail, Jefri Abdurrozak Istiqomah, Nerissabila Uswatun Jaka Subagja Jamaludin . Jeki Saputra Jibran, Kemal Fahreza Joko Lasmono Jonathan Teguh Samuel Kaeng Julastri, Bregsi Atingsari Kahpi Baiquni Arifani Kartika Sari Kartini Kartini Kartini Kartini KEZIA, KEZIA Khairul Anwar Khairunnisa Khairunnisa Khofifah, Nada Firda krisna krisnawati wati Krisnawati Kuncoro, Eko Ledjap, Adventus Michael Bala Leon Ddewandaru Pramudyo Letkol Arh Desyderius Minggu Lina Nurlaili, Afina Lisanthoni, Angela Listanto, Evan Adwitiya Dwi M Julius St M. Rafi Ardiansyah Made Hanindia Prami Swari Maharani, Ardiana Deka MAHARDIKA, NAUFAL INDRA Mahendra, Zenryo Yudi Arnava Darva Maisie Yunita Malva Makarim, Irsyad Fadhil Maliq Reynanda , Revano Marsanda, Dea Ayu Eka Masyhuri, Alif Syahda Adji Maulana, Hendra Maulana, M. Zaky Pria Maulida Shifa Annisa Maurisa Arimbi Putri Mayya, Kalfin Syah Kilau Minggu, Desi Derius Minggu, Desi Derius Mochammad Daffa Faiq Husin Syahputra Moh Avin Dharma Wijaya MOH MARIO SUBAGIO Moh. Misbahul Musthofah Mohammad Idhom Mohammad Quthbul Widad Mohammad, Bawazir Fadhil Muh. Irsyad Dwi Kurniawan Muhamad Vicky Oktafrian Muhammad Abdullah Hafizh Muhammad Hilmy Aziz Muhammad Lizamul Arsi Muhammad Masrur Aji Dorojatun Muhammad Muharrom Al Haromainy Muhammad Rohman Irsyadi Muhammad Rudmardiansyah Pratama Putra Muhammad Shaquille Syafiq Muhammad Wifaqul Azmi Mulyani Satya Bhakti Mulyo, Budi Mukhamad Nabila Anggita Luna Nachrowie, Nachrowie Nadia, Prasinta Hari Nafis Pratama Putra Nandana Wahyu Rizqullah Nicholas, Sandy Ninis Herawati Noor Imansyah Basoeki, Dandy Norhaslinda Binti Hasim Nur Rachman Nur Rachman Supadmana Muda Nurdiansyah, Titis Fajar Nurdianto, Muhammad Akbar Nurlaili, Afina Lina Nurul Hidajati Oktavia Nur Khasanah OKTAVIAN, JAGUAR DEVA NANGGALASAKTI OKTAVIAN Olivia Dewi Ramadhani Suryoningsih Panggih Santri Paramita, Maheswari Dian Pintarko, Dody Prakoso, Akbar Tri Pramudyo, Leon Ddewandaru Prapatoni, Velian Pratama Putra, Moch Aditya Pratama, Moch Nasikh Andhyka Prismahardi Aji Riyantoko Putra Dwi Wira Gardha Yuniahans Putra, Chrystia Aji Putri Salsabila, Belia Putri Wardhani, Lintang Sari Putricia Hendra, Ria Amelia Shinta Rachmawati, Siti Naia Hesti Rahman, Fatan Izzatur Rahman, Muhammad Fadhillah Rahmawati, Deisya Dzakiyyah Rahmawati. S, Abel Dwi Raihan Ramadhan Raissa Atha Febrianti Ramadhani, Aimee Natya Ramadhani, Neo Rendra Ardika Resti Indah Paramita Sari Revano Maliq Reynanda Riandi Zahra, Muhammad Alvin Ridho Fajar Fahturohman Riky Hermawan Ririn Wanandi Rizki, Agung Mustika Rizqullah Sandya Yossie Triwinanda Rochmawati, Febriyan Putri Rofiah, Muflichatur Romadhoni, Firman Rozi, Atiqur Ryan Bagus Bimantoro Sagita, Dhea Intan SALMAN ALFARIZI Samdono, Arif Sampurno Utomo, Moch Wahyu Sandy Nicholas Sanjaya, I Wayan Indra Sakti Sanjaya Santoso, Aries Satriya Yudha Saskia Rafika, Chesa Satrio Dharma Putra Satwika, I Kadek Susila Sena Daniswara Septyana, Dwitamara Setiawan, Aries Buedi Shafara, Anindya Restu Shintyadhita Wirawan Putri Siahaan, Renita Enjel Siharta, Niken Febrinikmah Silitonga, Paulenta Silvania Sischa Wahyuning Tyas Sischa Wahyuning Tyas Siti Sri Wahyuni Siva Ifin Azzahra Subairi Subairi Sugeng Harianto SUGENG HARIANTO Suherman Suherman Suryangga, Nova Suryantari, Putu Anggi Sutrisni, Erica Aprilia Syahbana, Ahmad Nadhif Fikri Syahrul Amin, Akhmad Syamjovanka, Revelin Putri Takahiro Kitajima Takashi Yasuno Tatipang, Angeline Riendra Torrilynn Farrell Zuriely Tresna Maulana Fahrudin Tsabita Safana Mustofa Ulummuddin, Ikhya Wardana, Nabila Sya’bani Wicaksono, Faris Hakim Widoretno, Astrini Aning Widya Indah Sujatmoko, Amanda Wisnu Murti, Hapsoro Yisti Vita Via Yogi Dwi Arsanti Yossie Triwinanda, Rizqullah Sandya Yunizar, Sri Fatmawati Zahran, Muhammad Sulthan Zidan, Ahmad Ziddan, Muhtasar