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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Telematika Jurnal Fisika FLUX KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Komputasi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal IMPACT: Implementation and Action Journal of Electronics, Electromedical Engineering, and Medical Informatics Kumawula: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat (Mediteg) Jurnal Abdimas Madani dan Lestari (JAMALI) Bubungan Tinggi: Jurnal Pengabdian Masyarakat Computer Science and Information Technologies Madaniya Jurnal Teknik Informatika (JUTIF) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Ilung (Inovasi Lahan Basah Unggul) Journal of Data Science and Software Engineering Jurnal Informatika Polinema (JIP) Scientific Journal of Informatics Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics

Dodon Turianto Nugrahadi

Lambung Mangkurat University

Author-ID : 406920

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Penerapan Teknologi Automatic Ultrafiltration Portable Untuk Penyediaan Air Bersih Layak Konsumsi Desa Jambu Burung, Beruntung Baru, Kabupaten Banjar Totok Wianto; Sri Cahyo Wahyono; Abdul Gafur; Dodon Turianto Nugrohadi; Ahmad Rusadi Arrahimi; Muhammad Solih Afif; Ori Minarto; Gunawan Gunawan
Jurnal Pengabdian ILUNG (Inovasi Lahan Basah Unggul) Vol 1, No 1 (2021)
Publisher : Universitas Lambung Mangkurat

Abstract Automatic Ultrafiltration Portable is used to produce clean and ready-to-consume water from a water source in peatlands. Water is one of the factors that really supports the community, including the process of cooking, bathing, washing, and toilet (MCK). The villagers of Jambu Burung and Jambu Raya at the new lucky sub-district use rainwater as drinking water and river water and pond water (well) to meet their daily needs, one of which is in the consumption sector. However, the water in the river that is used by the community is cloudy and smelly, so it is dangerous to health if it is continuously consumed by humans. The quality of clean water is very influential on the results of the quality of human life. The use of river and well water by the guava and guava community has been going on for years, so it is estimated that there are no other alternatives to get proper clean water. So, Automatic Ultrafiltration Portable is one solution to solve this problem. This tool is made based on the need for a portable tool because the size is 40x80x30 cm, practical, and economical, but has good performance (discharge 1 - 5 liters / minute) and can be increased. . This tool is equipped with solar sell and an automatic control system that is not owned by similar equipment. The use of solar sell by utilizing the abundance of solar power and minimizing public expenditure without any electricity bills. With an automatic system, the equipment will be stable and durable and easy maintenance. The targets and outputs produced from this program, especially for partners, are: Fulfillment of consumption water needs of approximately 80% for the community, there is water filtering equipment with ultrafiltration membrane technology, increasing the level of public health by up to 80%. Keywords: Automatic Ultrafiltration Portable, Water, Health Abstrak Automatic Ultrafiltration Portable digunakan untuk menghasilkan air bersih dan air siap konsumsi dengan sumber air di lahan gambut. Air merupakan salah satu faktor yang sangat mendukung masyarakat diantaranya proses memasak, mandi, cuci, dan kakus (MCK). Masyarakat desa Jambu burung dan jambu raya kecamatan beruntung baru menggunakan air hujan sebagai air minum dan air sungai dan air kolam (sumur) untuk memenuhi kebutuhan sehari-hari, salah satunya pada sektor konsumsi. Namun, air yang terdapat di sungai yang dipakai masyarakat airnya keruh dan berbau sehingga berbahaya bagi kesehatan bila dikonsumsi terus menerus oleh manusia. Kualitas air bersih sangat berpengaruh terhadap hasil kualitas hidup manusia. Penggunaan air sungai dan sumur oleh masyarakat jambu burung dan jambu raya telah berlangsung selama bertahun-tahun sehingga diperkirakan tidak ada lagi alternatif lain untuk mendapatkan air bersih yang layak. Maka, Automatic Ultrafiltration Portable menjadi salah satu solusi untuk mengatasi masalah tersebut. Alat ini dibuat berdasarkan kebutuhan akan alat yang portabel karena ukuranya 40x80x30 cm (mudah dipindahkan/dibawa), praktis (mudah pengoperasian), dan ekonomis (biaya terjangkau), namun memiliki kinerja yang baik (debit 1 – 5 liter/menit) dan dapat ditingkatkan. Alat ini dilengkapi dengan solar sell dan sistem kontrol otomatis yang tidak dimiliki oleh peralatan sejenis. Penggunaan solar sell dengan memanfaatkan limpahan tenaga surya dan meminimalkan pengeluaran masyarakat tanpa adanya tagihan listrik. Dengan sistem otomatis, maka peralatan akan stabil dan awet serta perawatan yang mudah. Target dan Luaran yang dihasilkan dari program ini khususnya untuk pihak mitra adalah: Terpenuhinya kebutuhan air konsumsi kurang lebih 80% bagi masyarakat, terdapat peralatan penyaring air dengan teknologi membran ultrafiltrasi, meningkatkan tingkat kesehatan masyarakat hingga 80%. Kata kunci: Automatic Ultrafiltration Portable, air bersih, kesehatan

Penerapan Kolam Terpal Bioflok Ikan Lele Tenaga Surya bagi Warga Aliran Anak Sungai Kemuning di Kelurahan Loktabat Utara Dodon Turianto Nugrahadi; Muhammad Itqan Mazdadi; Triando Hamonangan Saragih; Totok Wianto
Jurnal Pengabdian ILUNG (Inovasi Lahan Basah Unggul) Vol 1, No 1 (2021)
Publisher : Universitas Lambung Mangkurat

Dodon Turianto Nugrahadi*1, Muhammad Itqan Mazdadi 2, Triando Hamonangan S3, Totok Wianto41,2,3,4 Universitas Lambung Mangkurat1,2,3Program Studi Ilmu Komputer, FMIPA, Universitas Lambung Mangkurat4Program Studi Fisika, FMIPA, Universitas Lambung Mangkurat*e-mail: dodonturianto@ulm.ac.id1, mazdadi@ulm.ac.id2,triando.saragih@ulm.ac.id3, totokwianto@ulm.ac.id4Received: 25 Mei 2021/ Accepted: 16 Juni 2021 AbstractPeople on the side river of the Kemuning river in the North Loktabat sub-district have not utilized the river water as a source of fisheries business. With river water sources for use as fisheries, it can provide alternative livelihoods for people on the side river of the Kemuning river. However, if they use fishery media such as keramba, the water source of the Kemuning river will overflow in the rainy season, besides that if you use a pond, you need a land medium that is less possible.The use of a kolam terpal is one solution to this problem. This pool is made based on the need for a portable pool because it has a radius of 1.5m and a height of 1.5m. Kolam terpal are fish farming using tarpaulin materials as an alternative to soil or concrete ponds. The pool with the base and the sides of the walls is made of tarpaulin. The tarpaulin needed to make this pool is a type of tarpaulin with a material that is pressed so that no leakage occurs. The implementation of this tarpaulin pool using biofloc techniques and by using solar power makes this pool easier to adapt. This tool is equipped with solar panels and an automatic control system. The use of solar panels by utilizing the abundance of solar power and minimizing the expenses of fish farmers without electricity bills to activate pumps for water needs and pond air aerators. In addition, with the biofloc technique, the fish farming mechanism becomes more efficient.The targets and outputs generated from this program, especially for partners, are: the fulfillment of alternative livelihoods with fish farming, and an increase in income of approximately 80%, there is a biofloc kolam terpal equipment with solar panel technology. Keywords: Tarpaulin pool, solar power, bioflok AbstrakWarga di pesisir aliran anak sungai kemuning daerah Kelurahan Loktabat Utara belum memanfaatkan aliran anak sungai sebagai sumber usaha perikanan. Dengan sumber air sungai untuk pemanfaatan sebagai usaha perikanan dapat memberikan alternatif mata pencaharian bagi warga di pesisir aliran anak sungai kemuning. Akan tetapi jika menggunakan media perikanan seperti keramba, sumber air anak sungai kemuning dapat terjadi luapan jika dimusim hujan, selain itu jika menggunakan kolam tambak membutuhkan media lahan yang kurang memungkinkan. Penggunaan kolam terpal menjadi salah satu solusi untuk mengatasi masalah tersebut, kolam ini dibuat berdasarkan kebutuhan akan kolam yang portabel karena ukuranya jari-jari 1,5m dan tinggi 1,5m. Kolam terpal merupakan budidaya ikan dengan menggunakan bahan terpal sebagai alternative kolam tanah atau beton. Kolam yang dasarnya maupun sisi-sisi dindingnya dibuat dari terpal. Terpal yang dibutuhkan untuk membuat kolam ini adalah jenis terpal dengan bahan dipres sehingga tidak terjadi kebocoran. Implementasi kolam terpal ini dengan menggunakan teknik bioflok serta dengan menggunakan tenaga surya maka kolam ini dapat lebih mudah diadaptasikan. Alat ini dilengkapi dengan panel surya dan sistem kontrol otomatis. Penggunaan panel surya dengan memanfaatkan limpahan tenaga surya dan meminimalkan pengeluaran para pembudidaya ikan tanpa adanya tagihan listrik untuk mengaktifkan pompa untuk kebutuhan air dan aerator udara kolam. Selain itu dengan teknik bioflok, mekanisme pembudidayaan ikan menjadi lebih efisien.Target dan luaran yang dihasilkan dari program ini khususnya untuk pihak mitra adalah: terpenuhinya alternatif mata pencaharian dengan budidaya ikan, dan meningkatkan pendapat kurang lebih 80%, terdapat peralatan kolam terpal bioflok dengan teknologi panel surya. Kata kunci: Kolam terpal, tenaga surya, bioflok

Perbandingan Nilai K pada Klasifikasi Pneumonia Anak Balita Menggunakan K-Nearest Neighbor Dwi Kartini; Andi Farmadi; Muliadi muliadi; Dodon Turianto Nugrahadi; Pirjatullah Pirjatullah
Jurnal Komputasi Vol 10, No 1 (2022)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v10i1.2965

Pneumonia adalah penyakit menular yang menyerang saluran pernapasan bagian bawah dan merupakan salah satu penyebab utama kematian pada anak-anak di bawah lima tahun. Pneumonia mudah menyerang balita yang disebabkan oleh berbagai mikroorganisme yang ada di lingkungan seperti virus, bakteri, jamur dan bakteri mikro. Penelitian ini menggunakan K-Nearest Neighbor (KNN) untuk klasifikasi pneumonia pada pasien berdasarkan gejala yang dialami. Metode klasifikasi KNN dilakukan dengan membandingkan jarak objek antara data tes dan objek keseluruhan pada data pelatihan berdasarkan data riwayat medis pasien. Perbandingan persentase data pelatihan dan data pengujian yang digunakan adalah 90:10, 80:20, dan 70:30 untuk menghitung nilai jarak terdekat dari data pengujian dengan data pelatihan keseluruhan dengan jumlah k yang digunakan. Matriks kebingungan digunakan untuk mengukur hasil tes klasifikasi Pneumonia untuk balita dengan kombinasi jumlah data pelatihan dan data pengujian pada jumlah nilai k = {1, 3, 5, 7, 9, 11}, akurasi tertinggi, presisi, penarikan, dan nilai ukuran-F diperoleh. 0,86, 0,89, 1, dan 0,91 untuk data pelatihan 90%, 10% data pengujian dengan nilai k = 3.

TEKNOLOGI MEMBRAN FILTRASI AIR RAWA/GAMBUT BERBASIS PANEL SURYA UKM PENGOLAH IKAN ASIN DESA MUNING BARU dodon turianto nugrahadi; Totok Wiyanto; Sri Cahyo Wahyono; Ahmad Rusadi Arrahimi; sholih Afif
Jurnal Pengabdian Kepada Masyarakat (MEDITEG) Vol 7 No 1 (2022): Jurnal Pengabdian Kepada Masyarakat (MEDITEG)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat (P3M) Politeknik Negeri Tanah Laut (Politala)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/mediteg.v7i1.100

River water and well water are the main sources for the daily water needs for the people of South Kalimantan. However, the peatland water has a muddy and smelly that has an effect on health. This cloudy and smelly condition is due to the condition of the peatlands in the South Kalimantan region. The use of peat water by the community in Muning Baru Village, South Daha, HSU has been carried out for a long time, especially UKM salted fish processing. The quality and quantity of fish production are affected by the quality of clean water. Implementation begins with the design of the filtration membrane, assembly of solar panels, pumps and filtration tubes. It is hoped that this application will support the society towards society 5.0. The results of the implementation are giving the needs of clean water up to 80%, either else NTU 30 become 3.44 NTU, TSS 522 mg/l become 352 mg/l, COD 31.9 mgO2 /l become 6.09 mg02/l.

Implementasi XGBoost Pada Keseimbangan Liver Patient Dataset dengan SMOTE dan Hyperparameter Tuning Bayesian Search Rahmad Ubaidillah; Muliadi Muliadi; Dodon Turianto Nugrahadi; M Reza Faisal; Rudy Herteno
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4146

Liver disease is a disorder of liver function caused by infection with viruses, bacteria or other toxic substances so that the liver cannot function properly. This liver disease needs to be diagnosed early using a classification algorithm. By using the Indian liver patient dataset, predictions can be made using a classification algorithm to determine whether or not patients have liver disease. However, this dataset has a problem where there is an imbalance of data between patients with liver disease and those without, so it can reduce the performance of the prediction model because it tends to produce non-specific predictions. In this study, classification uses the XGBoost method which is then added with SMOTE to overcome class imbalances in the dataset and/or combined with Bayesian search hyperparameter tuning so that the resulting model performance is better. From the research, the results obtained from the XGBoost model get an AUC value of 0.618, for the XGBoost model with Bayesian search the AUC value is 0.658, then for the XGBoost SMOTE model the AUC value is 0.716, then for the XGBoost SMOTE model with Bayesian search the AUC value is 0.767. From the comparison of the four models, XGBoost SMOTE with Bayesian search obtained the highest AUC results and has an AUC difference of 0.149 compared to the XGBoost model without SMOTE and Bayesian search.

Penerapan Smart Monitoring Tarpaulin Fish bagi Pembudidaya Ikan Aliran Sungai Jembatan Kembar di Kelurahan Loktabat Utara Banjarbaru berbasis MQTT Dodon Turianto Nugrahadi; Irwan Budiman; Muliadi Muliadi; M. Reza Faisal
Madaniya Vol. 3 No. 4 (2022)
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/27214834.310

Smart Monitoring Tarpaulin Fish merupakan pengelolaan kualitas air tentang upaya memantau kualitas air sehingga dapat tercapai kualitas air kondisi yang diinginkan sesuai dengan kondisi alamiahnya. Pada kegiatan budidaya perikanan, untuk keseimbangan ekosistem perairan dalam suatu wadah yang terbatas bahwa pH akan rendah dan kandungan oksigen terlarut akan berkurang, sebagai akibatnya konsumsi oksigen akan menurun, aktivitas pernafasan ikan naik dan selera makan ikan akan berkurang. Menurut Rochyani (2018) bahwa faktor penentu kualitas air untuk kolam budidaya ikan antara lain keasaman atau kebasaan air, kekeruhan air, suhu air, kandungan oksigen, dan kandungan garam. Warga di pesisir sungai jembatan kembar Loktabat Utara Kota Banjarbaru saat ini telah berbudidaya perikanan. Pengelolaan budidaya perikanan memerlukan pemantauan secara berkala dikarenakan perlunya pengamatan kualitas air budidaya perairan. Pembudidaya ikan sungai jembatan kembar Loktabat Utara rata-rata bekerja juga sebagai buruh harian, sehingga ada kalanya tidak dapat memantau kondisi kolam. Maka dibutuhkan teknologi yang dapat memudahkan dalam memantau pengelolaan kondisi kolam budidaya perikanan. Penggunaan smart monitoring tarpaulin fish ini menjadi salah satu solusi untuk mengatasi masalah tersebut, yaitu kolam terpal berbasis IoT (Internet of Things). Kondisi ini memantau kondisi suhu, dan kondisi tds air dengan menggunakan koneksi internet broadband berbasis MQTT (Message Queuing Telemetry Transport) serta bertenaga surya. Hasil implementasi ini terpenuhinya pemantauan secara real time kondisi kolam budidaya ikan hingga 80%. Penurunan kematian ikan hingga 30% karena percepatan penanganan kualitas air.

Using Social Media Data to Monitor Natural Disaster: A Multi Dimension Convolutional Neural Network Approach with Word Embedding Mohammad Reza Faisal; Irwan Budiman; Friska Abadi; Muhammad Haekal; Mera Kartika Delimayanti; Dodon Turianto Nugrahadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 6 (2022): Desember 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v6i6.4525

Social media has a significant role in natural disaster management, namely as an early warning and monitoring when natural disasters occur. Artificial intelligence can maximize the use of natural disaster social media messages for natural disaster management. The artificial intelligence system will classify social media message texts into three categories: eyewitness, non-eyewitness and don't-know. Messages with the eyewitness category are essential because they can provide the time and location of natural disasters. A common problem in text classification research is that feature extraction techniques ignore word meanings, omit word order information and produce high-dimensional data. In this study, a feature extraction technique can maintain word order information and meaning by using three-word embedding techniques, namely word2vec, fastText, and Glove. The result is data with 1D, 2D, and 3D dimensions. This study also proposes a data formation technique with new features by combining data from all word embedding techniques. The classification model is made using three Convolutional Neural Network (CNN) techniques, namely 1D CNN, 2D CNN and 3D CNN. The best accuracy results in this study were in the case of earthquakes 78.33%, forest fires 81.97%, and floods 78.33%. The calculation of the average accuracy shows that the 2D and 3D v1 data formation techniques work better than other techniques. Other results show that the proposed technique produces better average accuracy.

Efek Transformasi Wavelet Diskrit Pada Klasifikasi Aritmia Dari Data Elektrokardiogram Menggunakan Machine Learning Dodon Turianto Nugrahadi; Tri Mulyani; Dwi Kartini; Rudy Herteno; Mohammad Reza Faisal; Irwan Budiman; Friska Abadi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.4859

Arrhythmia is one of the abnormalities of the heart rhythm, and some patients who suffer from arrhythmia do not feel any symptoms. Automating the early detection of arrhythmia is necessary by using an electrocardiogram. Previous research that had been done conducted classifications using several methods of data mining. In this research, the transformation for processing signals used is Discrete Wavelet Transformation, where a filtering process occurs that separates signals into high and low-frequency signals without losing the information from signals and is carried out with a two-level decomposition. After that, data normalization was performed using min-max normalization and was put into the model classification using the Support Vector Machine method with a Gaussian Radial Basis Function kernel of Naïve Bayes and K-Nearest Neighbor. Each data that was being used consisted of 140 data with a total of 35 data for each label. This research shows that at level 1 decomposition, the highest accuracy was obtained at db7 for the classification using Support Vector Machine with an accuracy of 73,57%, 68,57% for Naïve Bayes, K-Nearest Neighbor with k=3 resulting in an accuracy of 59,64%, and K-Nearest Neighbor with k=5 resulting in an accuracy of 63,57% while at level 2 decomposition the highest accuracy was obtained at db6 dan db8 for the classification using Support Vector Machine with an accuracy of 70,71%, 67,50% for Naïve Bayes, K-Nearest Neighbor with k=3 resulting in an accuracy of 66,07%, and K-Nearest Neighbor with k=5 resulting in an accuracy of 65%. From this research, it can be concluded that the highest accuracy is produced by decomposition level 1 using Support Vector Machine classification and that the Daubechies wavelet type has better results than the Haar wavelet.

IMPLEMENTASI TRANSFER LEARNING CONVOLUTIONAL NEURAL NETWORK UNTUK DETEKSI LUBANG JALAN PADA VIDEO DRONE Miftahul Muhaemen; Mohammad Reza Faisal; Dodon Turianto Nugrahadi; Andi Farmadi; Rudy Herteno
Journal of Data Science and Software Engineering Vol 1 No 01 (2020)
Publisher : Fakultas MIPA Universitas Lambung Mangkurat

Pothole is one of the problems that can cause harm to a person or a lot of people and can even cost lives. So a lot of research has been done to detect potholes, especially image-based. This research uses Unmanned Aerial Vehicle (UAV) to get aerial video dataset and train Convolutional Neural Network (CNN) with the dataset. However, instead of doing learning from the beginning, transfer learning can be used to train CNN to recognize the object of a pothole and measure the value of its performance and what the optimal frame rate is. Then the results of this study indicate that the CNN model, ssd_resnet_50_fpn_coco gets an average performance value of 48.90 mAP. And the optimal frame rate with the average highest performance value at a frame rate of 30FPS with a value of 49.43 mAP, followed by 1FPS with a value of 48.36 mAP . Keywords: Performance, Transfer Learning, Convolutional Neural Network, Pothole Detection, Aerial Video.

IMPLEMENTASI ALGORITMA ENKRIPSI RSA PADA APLIKASI INSTANT MESSAGING Ardiansyah Sukma Wijaya; Dodon T. Nugrahadi; Muhammad Itqan Mazdadi; Andi Farmadi; Ahmad Rusadi
Journal of Data Science and Software Engineering Vol 1 No 01 (2020)
Publisher : Fakultas MIPA Universitas Lambung Mangkurat

At this time the use of instant messaging applications is increasingly used compared to the use of SMS or other media because of its use which is more practical and faster. From the other side, the message information sent certainly requires confidentiality so that the message is not spread and known by others. For this reason mechanisms are needed, one of which is encryption to maintain message security. This research will implement the RSA (Rivest Shamir Adleman) encryption algorithm in the instant messaging application. This study uses a key length scenario of RSA 1024, 2048, 4096, and 6144 bits and a message length of 125, 250, 500, and 1000 characters implemented on 3 different devices. The results of testing on time and speed are the shorter the key used, the process will be shorter and faster. Keywords : RSA, Processing Time, Processing Speed

Co-Authors Abadi, Friska Abdul Gafur Adi Mu'Ammar, Rifqi Adi, Puput Dani Prasetyo Adi, Puput Dani Prasetyo Ahmad Rusadi Ahmad Rusadi Ahmad Rusadi Arrahimi - Universitas Lambung Mangkurat) Ahmad Rusadi Arrahimi - Universitas Lambung Mangkurat) Aida, Nor Aji Triwerdaya Alfando, Muhammad Alvin Andi Farmadi Andi Farmadi Andi Farmadi Andi Farmadi Ando Hamonangan Saragih Apriana, Susi Ardiansyah Sukma Wijaya Arfan Eko Fahrudin Arifin Hidayat Azwari, Ayu Riana Sari Azwari, Ayu RianaSari Bachtiar, Adam Mukharil Badali, Rahmat Amin Bahriddin Abapihi Bedy Purnama Cahyadi, Rinova Firman Dike Bayu Magfira, Dike Bayu Djordi Hadibaya Dwi Kartini Dwi Kartini Dwi Kartini, Dwi Emy Iryanie, Emy Faisal Murtadho Faisal, Mohammad Reza Fajrin Azwary Fatma Indriani Fhadilla Muhammad Fitra Ahya Mubarok Fitria Agustina fitria Fitriani, Karlina Elreine Fitrinadi Friska Abadi Gunawan Gunawan Gunawan Gunawan Halim, Kevin Yudhaprawira Hariyady, Hariyady Herteno, Rudy Herteno, Rudy Heru Kartika Candra, Heru Kartika Huynh, Phuoc-Hai Ichsan Ridwan Indah Ayu Septriyaningrum Irwan Budiman Irwan Budiman Irwan Budiman Ismail Didit Samudro Julius Tunggono Jumadi Mabe Parenreng Junaidi, Ridha Fahmi Kartika, Najla Putri Keswani, Ryan Rhiveldi Kevin Yudhaprawira Halim Liling Triyasmono M Kevin Warendra M. Apriannur Martalisa, Asri Maulidha, Khusnul Rahmi Mera Kartika Delimayanti Miftahul Muhaemen Muhamad Ihsanul Qamil Muhammad Alkaff Muhammad Anshari Muhammad Haekal Muhammad Hasan Muhammad Irfan Saputra Muhammad Itqan Masdadi Muhammad Itqan Mazdadi Muhammad Janawi Muhammad Khairin Nahwan Muhammad Mirza Hafiz Yudianto Muhammad Nazar Gunawan Muhammad Reza Faisal, Muhammad Reza Muhammad Rofiq Muhammad Sholih Afif Muhammad Solih Afif Muliadi Muliadi Muliadi MULIADI -, MULIADI Muliadi Aziz Muliadi Muliadi Muliadi Muliadi Muliadi Muliadi Muliadi, M Musyaffa, Muhammad Hafizh Nafis Satul Khasanah Nahdhatuzzahra Nahdhatuzzahra Ngo, Luu Duc Noor Hidayah Nursyifa Azizah Ori Minarto Padhilah, Muhammad Pirjatullah Pirjatullah Pirjatullah Prastya, Septyan Eka Priyatama, Muhammad Abdhi Radityo Adi Nugroho Rahayu, Fenny Winda Rahmad Ubaidillah Rahmat Ramadhani, Rahmat Ramadhan, Muhammad Rizky Aulia Riadi, Putri Agustina Rifki Izdihar Oktvian Abas Pullah Rifki Riza Susanto Banner Rizal, Muhammad Nur Rizki Amelia Rizki, M. Alfi Rozaq, Hasri Akbar Awal Rudy Herteno Rudy Herteno Saman Abdurrahman Saputro, Setyo Wahyu Saputro, Setyo Wahyu Saputro, Setyo Wahyu Saragih, Triando Hamonangan Satou, Kenji Selvia Indah Liany Abdie Setyo Wahyu Saputro sholih Afif Siti Napi'ah Soesanto, Oni Sri Cahyo Wahyono Sri Rahayu Sri Redjeki Sri Redjeki Totok Wianto Totok Wiyanto Tri Mulyani Triando Hamonangan Saragih Umar Ali Ahmad Utomo, Edy Setyo Wahyu Dwi Styadi Wahyu Saputro, Setyo Wardana, Muhammad Difha Winda Agustina Yabani, Midfai Yanche Kurniawan Mangalik YILDIZ, Oktay Yudha Sulistiyo Wibowo Zamzam, Yra Fatria

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