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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) ELKHA : Jurnal Teknik Elektro Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Elkom: Jurnal Elektronika dan Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Prosiding SNATIF Jurnal Transformatika Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Sisforma: Journal of Information Systems JAIS (Journal of Applied Intelligent System) Proceeding SENDI_U Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Journal of Information System Jurnal Informatika Upgris Jurnal Teknologi dan Sistem Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika SISFOTENIKA JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Wikrama Parahita : Jurnal Pengabdian Masyarakat Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Eksplora Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Building of Informatics, Technology and Science Jurnal Informatika dan Rekayasa Perangkat Lunak JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) JUDIMAS (Jurnal Inovasi Pengabdian Kepada Masyarakat) Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat Advance Sustainable Science, Engineering and Technology (ASSET) J-SAKTI (Jurnal Sains Komputer dan Informatika) Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Jurnal Maklumatika Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Journal of Computing Theories and Applications Seminar Nasional Teknologi dan Multidisiplin Ilmu Scientific Journal of Informatics Journal of Future Artificial Intelligence and Technologies Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) INOVTEK Polbeng - Seri Informatika
Ajib Susanto
Universitas Dian Nuswantoro
Agriculture, Biological Sciences & Forestry Arts Humanities 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 Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Other

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Pengembangan Website Desa Ratamba Kecamatan Pejawaran Kabupaten Banjarnegara Untuk Meningkatkan Pemasaran Dan Penjualan Produk Pertanian Mulyono, Ibnu Utomo Wahyu; Susanto, Ajib; Kusumawati, Yupie; Ningrum, Novita Kurnia; Umami, Zahrotul; Widyatmoko, Karis; Sudaryanto, Sudaryanto
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 7, No 2 (2024): MEI 2024
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v7i2.2076

Abstract

Dieng Kabupaten Banjarnegara memiliki iklim yang cocok untuk pertanian sayuran. Khususnya di Desa Ratamba Kecamatan Pejawaran Kabupaten Banjarnegara memiliki komoditas pertanian kentang dan wortel. Untuk saat ini hasil panen dipasarkan secara konvensional dengan mengumpulkan hasil panen pada pengepul dan mengirimkan ke pasar untuk selanjutnya dikirim ke beberapa daerah di sekitar kabupaten Banjarnegara. Pemasaran dengan metode konvensional sudah dilakukan dalam jangka waktu yang cukup lama. Akan tetapi ada celah kekurangan yang terjadi di rantai distribusi dalam proses bisnis pertanian tersebut. Salah satunya adalah petani tidak dapat menentukan harga sayuran hasil panennya karena distribusi sayuran harus melalui pengepul atau tengkulak terlebih dahulu. Sehingga yang menentukan harga di pasar adalah pengepul, bukan oleh petani secara langsung. Selain itu, petani juga tidak dapat memperluas jangkauan pemasaran hasil pertaniannya. Disebabkan distribusi barang tidak dilakukan oleh petani akan tetapi oleh dilakukan oleh pengepul juga. Oleh karena alasan tersebut maka pada pengabdian pada masyarakat ini dikembangkan website yang dapat diakses oleh petani di Desa Ratamba untuk memasarkan dan menjual hasil pertanian mereka secara langsung. Dengan adanya media online yang digunakan oleh petani diharapkan dapat meningkatkan pendapatan dan kesejahteraan para petani. Dengan demikian diharapkan petani dapat terus mempertahankan dan meingkatkan kualitas hasil pertanian mereka
Implementasi Content Placement pada Pemasaran Digital pada Program Kepemudaan PKKP Disporapar Jawa Tengah Ningrum, Novita Kurnia; Susanto, Ajib Susanto; Kusumawati, Yupie; Widyatmoko, Karis; WM, Ibnu Utomo
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 7, No 3 (2024): SEPTEMBER 2024
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v7i3.2472

Abstract

Pemerintah Provinsi Jawa Tengah melalui Program Kepedulian dan Kepeloporan Pemuda (PKKP) dari Dinas Pemuda dan Olahraga Jawa Tengah atau Dispora Jateng memberikan perhatian untuk mendukung pemuda di wilayah Provinsi Jawa Tengah berkembang dan mampu mengembangkan potensi yang ada di daerah masing masing. Pada bulan Mei 2024 Dispora Jateng bekerjasama dengan Udinus menyelenggarakan kegiatan workshop dan seminar dengan topik materi digital content. Salah satu aspek yang dimiliki pemuda dalam berpartisipasi di PKKP adalah memiliki ide atau konsep berupa produk yang dapat menunjang kemajuan daerahnya masing-masing. Produk dapat berupa produk barang ataupun jasa, begitupun dapat berupa hardware ataupun software. Adapula produk yang mereka baa berupa produk budaya local yang memiliki potensi wisata sehingga mampu mengundang masyarakat dari daerah lain untuk mengenal dan berkunjung ke daerah tersebut. Adapun ide dan konsep yang sudah ada baik yang udah berjalan maupun akan dijalankan menghadapi kendala berkaitan dengn penggunaan teknologi untuk meningkatkan efektifitas pengenalan dan pemasaran dalam lingkup yang luas. Salah satu hal yang belum dimiliki oleh para peserta PKKP adalah bagaimana memproduksi konten yang dapat memeberikan impact terhadap peningkatan pemasaran produk yang mereka miliki. Oleh karena pentingnya pemahaman dan ketrampilan menggunakan teknologi untuk digital marketing, maka pada  kegiatan seminar dan workshop yang diselenggarakan pada bulan Mei ini, salah satu ketrampilan yang dibagikan adalah content placement yaitu bagaimana menjadikan digital content yang diposting di media sosial dapat diakses oleh masyarakat luas. Dalam hal ini masyarakat yang dimaksudkan adalah bagaimana mengarahkan masyarakat sesuai dengan target market sehingga efektif dalam menggunakan sumberdaya untuk pemasaran produk. Efektifitas penggunaaan teknologi untuk digital marketing memberikan keuntungan dalam pengembangan produk yaitu kemampuan menjangkau pasar yang luas dengan waktu yang dibutuhkan relatif lebih efisien sehingga biaya pemasaran menjadi lebih murah dibandingkan dengan conventional marketing. 
Implementation of Tesseract OCR and Bounding Box for Text Extraction on Food Nutrition Labels Saputra, The Manuel Eric; Susanto, Ajib; Carmelita, Bastiaans Jessica
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6107

Abstract

This study focuses on implementing Optical Character Recognition (OCR) using the Tesseract engine, integrated with bounding box detection, to extract nutritional information from food nutrition labels. The research addresses the challenge of limited consumer access to and understanding of nutritional data, a factor contributing to health issues such as obesity and related metabolic disorders. Studies indicate that although Indonesian consumers generally have a good level of knowledge and positive attitudes toward nutritional labels, the actual behavior of reading and understanding these labels remains limited. Additionally, packaged foods consumed outside the home constitute a significant portion of daily caloric intake, which can lead to health complications if not properly managed. With obesity levels among adults in Indonesia rising to concerning rates, this study highlights the importance of providing accessible nutritional data. In this work, MobileNetV1 is used as the backbone model for bounding box detection, effectively identifying and isolating label regions to enhance OCR accuracy. Tesseract OCR, known for its LSTM-based architecture, is applied to predict sequential data patterns, such as rows of text on nutrition labels. Preprocessing techniques, including grayscale conversion, brightness adjustment, CLAHE (Contrast Limited Adaptive Histogram Equalization), and denoising, are used to improve text clarity and further refine OCR output accuracy. Post-processing steps involve rule-based and contextual error correction to handle common OCR inaccuracies. Evaluated on 10 different label images, the system achieved a maximum Word Error Rate (WER) of 10% and a Character Error Rate (CER) of 1.6%, demonstrating high accuracy in nutritional information extraction.
Implementation of Item-Based Collaborative Filtering Algorithm for Blangkon Product Recommendation on Web-Based E-commerce System Atmojo, Cahyo Tri; Susanto, Ajib
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6120

Abstract

In the development of technology at this time, especially in the trade sector, there is no escape from the development of information technology which has had a significant impact. The most obvious form in the development of information technology in the trade sector is e-commerce, which allows transactions between sellers and buyers to be easier. Not only that, the problem now is that users must be spoiled with features that help to recommend user desires. This requires a recommendation system to help select user desires based on products with high ratings. Therefore, it must continue to develop a system that has features to support the sales system. To achieve the system needs to require a method that supports such as using the collaborative filtering method. This method focuses the analysis on similarities between items, because it is more stable and not always sensitive to changing data with a large number of users. The collaborative filtering method is used in the recommendation system to predict inter-user preferences for blangkon products based on the similarity of other user patterns, so that product recommendations appear that they have never seen or bought before. This technique uses an item-based model in it. The results of the performance test to determine the level of prediction accuracy of the method in this study using the mean absolute error. With MAE for three times trying to get a value of 0.5, 0.3 and 0.2.
Javanese Character Recognition Based on K-Nearest Neighbor and Linear Binary Pattern Features Susanto, Ajib; Mulyono, Ibnu Utomo Wahyu; Sari, Christy Atika; Rachmawanto, Eko Hari; Ali, Rabei Raad
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 7, No. 3, August 2022
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v7i3.1491

Abstract

Javanese script (Hanacaraka) is one of the cultures owned by Indonesia. Javanese script is found in temples, inscriptions, cultural and prehistoric sites, ancient Javanese manuscripts, Gulden series banknotes, street signage, and palace documents. Javanese script has a form with an article, and the use of reading above the script is a factor that affects the character detection process. Punctuation marks, clothing, Swara script, vowels, and consonants are parts of the script that are often found in Javanetest scripts. Preserving Javanese script in the digital era, of course, must use technology that can support the digitization of Javanese script through the script detection process. The concept of script image is the image of Javanese script in ancient manuscripts. The process of character detection using certain techniques can be carried out to extract characters so that they can be read. Detection of Javanese characters can be found by finding a testing image. Here, we had been used 10 words images consisting of 3 to 5 syllables with the vowel aiu. Dataset process by Linear Binary Pattern (LBP) feature extraction, which is used to characterize images and describe image textures locally. LBP has been used in r=4 and preprocessing is also done by thresholding with d=0.3. This process can be done using the K-Nearest Neighbor algorithm. In 10 datasets of Javanese script words, an average accuracy value of 90.5% was obtained. The accuracy value of 100% is the highest and 50% is the lowest.
Implementasi Digital Payment Gateway Midtrans Pada Sistem Agribisnis Di Temanggung (SIADIT) Ramadhan, Aditya Wahyu; Susanto, Ajib; Saraswati, Galuh Wilujeng
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.574

Abstract

The agribusiness system in Pagergunung Village has not been fully functioning properly. Based on the results of the survey that the author conducted, production was not optimal due to several factors including extreme weather changes, pest and disease attacks and low knowledge of the technology used and declining sales prices at harvest. In this era of the industrial revolution 4.0, all areas of life will involve the role of information and communication technology, one of which is in the field of agriculture. The application of technology in agriculture can be realized in the form of making a website for selling agricultural products so as to increase people's income through the creation of an agribusiness system, especially a marketing system through an e-marketplace that is connected to a paymet gateway. From the results of the blackbox test with a total of 25 respondents stated that online marketing media through the SIADIT e-marketplace application facilitates product promotion so as to increase farmers' income.
High-Performance Face Spoofing Detection using Feature Fusion of FaceNet and Tuned DenseNet201 Zuama, Leygian Reyhan; Setiadi, De Rosal Ignatius Moses; Susanto, Ajib; Santosa, Stefanus; Gan, Hong-Seng; Ojugo, Arnold Adimabua
Journal of Future Artificial Intelligence and Technologies Vol. 1 No. 4 (2025): March 2025
Publisher : Future Techno Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/faith.3048-3719-62

Abstract

Face spoofing detection is critical for biometric security systems to prevent unauthorized access. This study proposes a deep learning-based approach integrating FaceNet and DenseNet201 to enhance face spoofing detection performance. FaceNet generates identity-based embeddings, ensuring robust facial feature representation, while DenseNet201 extracts complementary texture-based features. These features are fused using the Concatenate function to form a more comprehensive representation for im-proved classification. The proposed method is evaluated on two widely used face spoofing datasets, NUAA Photograph Imposter and LCC-FASD, achieving 100% accuracy on NUAA and 99% on LCC-FASD. Ablation studies reveal that data augmentation does not always enhance performance, particularly on high-complexity datasets such as LCC-FASD, where augmentation increases the False Rejection Rate (FRR). Conversely, DenseNet201 benefits more from augmentation, while the proposed method performs best without augmentation. Comparative analysis with previous studies further confirms the superiority of the proposed approach in reducing error rates, particularly Half Total Error Rate (HTER), False Acceptance Rate (FAR), and FRR. These findings indicate that combining identity-based embeddings and texture-based feature extraction significantly improves spoofing detection and enhances model robustness across different attack scenarios. This study advances biometric security by introducing an efficient feature fusion strategy that strengthens deep learning-based spoof detection. Future research may explore further optimization strategies and evaluate the approach on more diverse datasets to enhance generalization.
Schizophrenia Classification using Fuzzy K-Nearest Neighbour on Patient Data from RSJD Dr. Amino Gondohutomo Ozagastra Caluella Prambudi; Ajib Susanto; Christy Atika Sari
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/t2mfvf14

Abstract

Schizophrenia is a complex mental disorder with overlapping symptoms, making subtype diagnosis uncertain. This study aims to develop an automated classification method for schizophrenia subtypes using the Fuzzy K-Nearest Neighbour (FKNN) algorithm, which effectively handles uncertainty in medical data. The dataset includes 300 patients from RSJD Dr. Amino Gondohutomo, Central Java, aged 18–60 years, with balanced gender distribution. Four subtypes—paranoid, catatonic, hebephrenic, and undifferentiated—were classified. Symptom and demographic data were encoded and normalised using min-max scaling. The model was trained using k = 5 and evaluated via 10-fold cross-validation. The results achieved 94% accuracy with high precision and recall across all classes. However, limitations include a relatively small and single-source dataset and the lack of ROC/AUC analysis. These findings suggest that FKNN has strong potential as a data-driven decision support system for schizophrenia diagnosis, suitable for integration into psychiatric hospital information systems. Future research should explore oversampling techniques such as SMOTE and threshold tuning to improve model sensitivity.
Hybrid image encryption using quantum bit-plane scrambling and discrete wavelet transform Rachmawanto, Eko Hari; Susanto, Ajib; Hermanto, Didik; Sari, Christy Atika; Setiarso, Ichwan; Sarker, Md Kamruzzaman
Bulletin of Electrical Engineering and Informatics Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i3.8887

Abstract

Digital image security is increasingly vulnerable to sophisticated attacks, underscoring the urgent need for robust encryption techniques. Traditional encryption methods often fall short in defending against advanced threats, highlighting the importance of innovative solutions to protect digital images. This study tackles these challenges by incorporating quantum computing into image encryption, employing techniques such as bit-plane scrambling, pixel permutation, and bit permutation. These strategies enhance security by introducing complex, non-linear transformations that make decryption attempts significantly more difficult without the correct cryptographic keys. A key configuration based on r=44, μ=2024 is employed to achieve this. The integration of quantum bit-plane scrambling and quantum pixel permutation results in a highly secure encryption method. Experimental results show substantial improvements in entropy levels, along with strong unified average changing intensity (UACI) and number of pixels change rate(NPCR) values across various images. Notably, the "Peppers" image achieved the best performance, with UACI values of 33.5572 and NPCR values of 99.8301. The method proves highly effective, as repeated tests with incorrect keys failed to decrypt the plain image accurately. Future research could explore the addition of a discrete quantum wavelet transform to further enhance the security and efficiency of quantum-based image encryption methods.
IMPLEMENTASI RESTFUL WEB SERVICES DENGAN OTORISASI OAUTH 2.0 PADA SISTEM PEMBAYARAN PARKIR Kusuma, Indra; Susanto, Ajib; Mulyono, Ibnu Utomo Wahyu
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 1 (2019): JURNAL SIMETRIS VOLUME 10 NO 1 TAHUN 2019
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (973.387 KB) | DOI: 10.24176/simet.v10i1.3026

Abstract

Salah satu jenis retribusi daerah adalah retribusi parkir. Setiap pemerintah daerah memiliki wewenang dalam menetapkan tarif retribusi parkir. Tetapi, sering sekali para juru parkir meminta lebih dari tarif yang sudah ditetapkan. Hal tersebut merugikan pengguna parkir, selain harus membayar lebih, pengguna parkir sering tidak mendapatkan karcis parkir. Belum lagi pengelolaan retribusi parkir yang tidak transparan menjadi salah satu penyebab rendahnya penerimaan retribusi parkir. Permasalahan ini dapat diminimalkan dengan menerapkan teknologi RESTful web services pada sistem pembayaran retribusi parkir yang terintegrasi dan transparan sehingga diharapkan mampu menjadi alternatif solusi mengatasi masalah pengelolaan retribusi parkir yang dialami oleh Pemkot maupun Pemda di Indonesia. Metode pengembangan sistem yang digunakan yaitu Extreme Programming (XP) dengan tahap : planning (perencanaan), design (perancangan), coding (pengkodean) dan testing (pengujian). Hasil aplikasi berbasis Android yaitu Markir sebagai sarana utama mengirimkan data pembayaran parkir dan OAuth 2.0 sebagai protokol otorisasi setiap  transaksi data yang dilakukan. Hasil pengujian aplikasi Markir dengan metode black-box testing, sistem telah terintegrasi dengan baik dan dilakukan berbagai tahap validasi seperti client credentials, access token dan scope akses fungsi yang tersedia pada API Markir sesuai standar protokol OAuth 2.0 sehingga transaksi data lebih aman jika dibandingkan menggunakan otorisasi API standar seperti basic-auth API ataupun API Key.
Co-Authors - Wijanarto - Wijanarto -, Wijanarto -, Wijanarto Abdussalam Abdussalam Abdussalam Abdussalam Abdussalam Abiyyi, Ryandhika Bintang Aceng Sambas Adrian Angga Pramono Afrizal Aziz Maulana Agus Winarno Agus Winarno, Agus Akhmad Rizaldy Ali Muqoddas Ali, Rabei Raad Alif Fadhil Wibowo Alviana Dina Putri Anak Agung Gede Sugianthara Anggia Rizkika Hanin Anggraeny, Tiara Antonio Ciputra Antonius Erick Handoyo Antonius Wibowo Aris Marjuni Atmojo, Cahyo Tri Bayu Wicaksono Briliantino Abhista Prabandanu Bustami, Sri Heri Cahyani, Anis Putma Carmelita, Bastiaans Jessica Christy Atika Sari Ciputra, Antonio D.R.I.M. Setiadi Daniel Nomolas Wicaksono De Rosal Ignatius Moses Setiadi Desi Purwanti Desi Purwanti Kusumaningrum Dian Kristiawan Nugroho Didik Hermanto Dimas Irawan Ihya’ Ulumuddin Doheir, Mohamed Dwi Puji Prabowo Dwi Puji Prabowo, Dwi Puji Eko Hari Rachmawanto Elkaf Rahmawan Pramudya Ericsson Dhimas Niagara Erwin Erwin Etika Kartikadarma Fakhriyan Nur Rofiq Farrel Athaillah Putra Febrian, Muhamad Rizky Fajar Fikri Budiman Fikri Budiman Galih Setyo Wibowo Gan, Hong-Seng Gilang Raharjito Haqikal, Hafidz Hayu Wikan Kinasih Hidayah Rahmalan Hilmi, Muhammad Abror Auliya Hussain Md Mehedul Islam Ibnu Gemaputra Ramadhan Ibnu Utomo Ibnu Utomo W.M. Ibnu Utomo Wahyu Mulyono Ibnu Utomo Wahyu Mulyono Ibnu Utomo Wahyu Mulyono Ibnu Utomo Wahyu Mulyono Ibnu Utomo Wahyu Mulyono Ibnu Utomo Wahyu Mulyono Ibnu Utomo Wahyu Mulyono, Ibnu Utomo Ibnu Utomo WM Ihya Ulumuddin, Dimas Irawan Imam Kurniawan Imam Prayogo Pujiono Imanuel Harkespan Indra Kusuma Islam, Hussain Md Mehedul Istiqomah, Annisa Ayu Karis Widyatmoko Khafiizh Hastuti Krismawan, Andi Danang Kusuma, Tiara Widya Kusumawati, Yupie L. Budi Handoko Laksono, Enggar Adji Lalang Erawan Latifah Diah Kumalasari Lutfi Madiono Md Kamruzzaman Sarker Md Kamruzzaman Sarker Mega Bintang Hatmi Moch Arief Soeleman Mochammad Lukman Mohamad Afendee Mohamed Mohamed A. S. Doheir Mohammad Arif Muttaqin Mohd Yaacob, Noorayisahbe Muhammad Atho’il Maula Muhammad Nur Haztinanto Mulyanto, Ibnu Utomo Mulyono, Ibnu Utomo Wahyu Mulyono, Ibnu Utomo Wahyu Mulyono, Ibnu Utomo Wahyu Musfiqur Rahman Sazal Muslih Muslih Muslih Muslih Muslih Nabiha Riandika, Muhammad Afiq Ningrum, Novita Kurnia Noorayisahbe Mohd. Yaacob Nova Rijati Novita Kurnia Ningrum Novita Kurnia Ningrum Nugroho, Widhi Bagus Ojugo, Arnold Adimabua Ozagastra Caluella Prambudi Ozagastra Caluella Prambudi Panjaitan, Yonathan Gani Panjaitan, Yonathan Gani Purwanto Purwanto Putri, Clara Edrea Evelyna Sony Raga Nufusula Rahadian Kristiyanto Rachman Raihan Yusuf Ramadhan, Aditya Wahyu Respatria, Nabila Maharani Rico Rian Alvian Rosyida, Ghaitsa Ardelia Sabilillah, Ferris Tita Saputra, The Manuel Eric Saraswati, Galuh Wilujeng Sarker, Md Kamruzzaman Sembiring, Rinawati Setiarso, Ichwan Sinaga, Daurat Sinaga, Daurat Sinaga, Daurat Sinar Setyawan Stefanus Santosa Sudaryanto Sudaryanto Sudaryanto Sudaryanto Sudaryanto Sudaryanto SUDARYANTO SUDARYANTO Suprayogi Suprayogi Teresa Enades Hari Setia Tiara Anggraeny Tiara Widya Kusuma Tri Wulandari Utomo W.M, Ibnu Utomo W.M, Ibnu Wellia Shinta Sari Widyatmoko Karis Wijanarto Wijanarto Wijanarto Wijanarto Wijanarto Wijanarto Yupie Kusumawati Zahrotul Umami, Zahrotul Zainal Arifin Hasibuan Zuama, Leygian Reyhan