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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Disability Studies Journal of Environmental Engineering and Sustainable Technology Jurnal Teknologi Informasi dan Ilmu Komputer Register: Jurnal Ilmiah Teknologi Sistem Informasi Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer

Budi Darma Setiawan

Fakultas Ilmu Komputer , Universitas Brawijaya

Author-ID : 487682

Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mechanical Engineering Social Sciences

Published : 144 Documents Claim Missing Document

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Fitur Length Of Edge Dan Moment Invarian Untuk Gesture Recognition Dengan Menggunakan Kinect Untuk Kontrol Lampu MP, Rekyan Regasari; Setiawan, Budi Darma; Arwani, Issa
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 2, No 1 (2015)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (805.673 KB)

AbstrakTeknologi Kinect adalah teknologi yang dikembangkan untuk game. Kinect memungkinkan pemain game mengontrol permainan dengan menggunakan gerakan dan suara. Hal ini dikarenakan di dalam Kinect terdapat 3 hardware yang bekerja bersama-sama. Tiga hardware tersebut yaitu color VGA video camera, sensor kedalaman, dan multi array microphones. Karena itu, penelitian ini mencoba mengembangkan sensor Kinect untuk keperluan mendeteksi telapak tangan dan gesturnya untuk digunakan sebagai kontrol lampu. Hal ini dilakukan dengan menambahkan beberapa proses pengolahan citra. Pengenalan telapak tangan, menggunakan sensor VGA camera dan depth camera dalam Kinect. Ketika seorang pengguna menjulurkan tangannya kearah sensor, kemudian mengangkat jarinya maka program akan bereaksi. Jika 2 jari yang diangkat maka program akan mengaktifkan saklar padam. Sedangkan jika 5 jari yang diangkat, maka program akan mengaktifkan saklar hidup. Dalam penelitian ini ada 2 fitur yang digunakan dan dibandingkan hasilnya. Fitur yang digunakan adalah fitur Moment Invariant dan Length of Edge. Hasil lebih baik diberikan jika pengenalan dilakukan dengan menggunakan Length of Edge. Dari seluruh data uji yang dipakai, untuk pengenalan dengan menggunakan fitur Length of Edge, akurasi maksimal diperoleh sebesar 100%, sedangkanÂ dengan menggunakan fitur Moment Invariant, akurasi maksimal diperoleh sebesar 80%.Kata kunci: Moment Invarian, Length of Edge, gesture telapak tanganAbstractKinect is a technology developed for game. Kinect allows players to control game play by using movement and sound. This is because Kinect has 3 hardware that work together. The three hardware are VGA video camera, depth sensor and multi-array microphones. Therefore, this study attempts to use Kinect sensor for detecting the palms gestures and use them as a light control. This is done by adding some image processing technique. The palms gesture detection is done by using the VGA camera and depth camera in Kinect Sensor. When a user sticking his hand out and raise his fingers, then program will gives response. If 2 fingers are raised, program will activate off switch, while if 5 fingers are raised, program will activate on switch. There are two features are used in this study, and the results are compared. The features are Moment Invariant and Length of Edge. Better results given by recognition using the Length of Edge. From all the test data used, recognition using Length of Edge give 100% accuracy, while recognition using Moment Invariant features, give 80% in acuracy.Keywords: Moment Invarian, Length of Edge, palm gesture

Movie recommender systems using hybrid model based on graphs with co-rated, genre, and closed caption features Adikara, Putra Pandu; Sari, Yuita Arum; Adinugroho, Sigit; Setiawan, Budi Darma
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 7, No 1 (2021): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v7i1.2081

A movie recommendation is a long-standing challenge. Figuring out the viewerâ€™s interest in movies is still a problem since a huge number of movies are released in no time. In the meantime, people cannot enjoy all available new releases or unseen movies due to their limited time. They also still need to choose which movies to watch when they have spare time. This situation is not good for the movie business too. In order to satisfy people in choosing what movies to watch and to boost movie sales, a system that can recommend suitable movies is required, either unseen in the past or new releases. This paper focuses on the hybrid approach, a combination of content-based and collaborative filtering, using a graph-based model. This hybrid approach is proposed to overcome the drawbacks of combination in the content-based and collaborative filtering. The graph database, Neo4j is used to store the collaborative features, such as movies with its genres, and ratings. Since the movieâ€™s closed caption is rarely considered to be used in a recommendation, the proposed method evaluates the impact of using this syntactic feature. From the early test, the combination of collaborative filtering and content-based using closed caption gives a slightly better result than without closed caption, especially in finding similar movies such as sequel or prequel.

Design and Implementation of Earth Image Classification Using Unmanned Aerial Vehicle Barlian Henryranu Prasetio; Ahmad Afif Supianto; Gembong Edhi Setiawan; Budi Darma Setiawan; Imam Cholissodin; Sabriansyah Rizkiqa Akbar
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 3: September 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i3.1786

Research in the field of image classification has been widely applied and developed, especially in the field of satellite imagery. Image classification is the process of grouping the pixels in an image into a number of classes, so that each class can describe an entity with certain characteristics. The research aims to build software that can perform the classification of earth image results from UAV (Unmanned Aerial Vehicle) monitoring. The Image converted into YUV format then classified using Fuzzy Support Vector Machine (FSVM). This research designed elements that UAVs will be used for monitoring as follows: (1) the control station, which designed the software on a computer that is used to send or receive data, and display the data in graphical form, (2) payload, using the camera to capture images and send to the control station, (3) communication system using TCP/IP protocol, and (4) UAV, using X650 quadcopter products from xaircraft. All of data can be received if it is sent by several segmented package into smaller parts. The results of image classification, the image of the monitoring carried out on the UAV sized 256 x 256 pixels with a total number of 450 training data size. It is 16x16 pixel image data. Tests performed to classify the image into 3 classes, namely agricultural area, residential area, and water area. The highest accuracy value of 77.69% obtained by the number of training data as much as 375.

IDENTIFICATION OF PATCHOULI PLANTS USING LANDSAT-8 SATELLITE IMAGERY AND IMPROVED K-MEANS METHOD Candra Dewi; Muhammad Syaifuddin Zuhri; Achmad Basuki; Budi Darma Setiawan
Journal of Environmental Engineering and Sustainable Technology Vol 3, No 2 (2016)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Brawijaya

To maintain the availability of the patchouli plants required monitoring the spread of patchouli plantation. This study performed the identification of patchouli plant through Landsat-8 satellite imagery and Improved K-Means method. Improved was done on this study include the process of determining the initial cluster by specifying the closeness between the data and the determination of the number of cluster (K) by using the histogram equalization technique. The result of internal criteria testing shows that determining the number of clusters using the histogram is less effective because it produces the lower value of the silhouette. On almost all image data test found the best value of the silhouette's coefficient is 75.089% at K=2 and data in February. Furthermore, based on the results of testing the external criteria known the highest purity value in February data with a number of cluster 5 is 0.6829268. The test results also show that the use of the Improved K-Means on the Landsat-8 image has not been able to recognize the difference patchouli plants with other crops due to the limited resolution of imagery data and also the minimum number and variation of test data. But, visually the patchouli plant cluster is found for February data while the age of the rice crop surrounding the patchouli is still in the early phase of planting.

Mendeteksi Jenis Burung Berdasarkan Pola Suaranya Budi Darma Setiawan; Imam Cholissodin; Rekyan Regasari Mardi Putri
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 3 No 2: Juni 2016
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

AbstrakIlmuwan biologi terutama di bidang biodifersitas, terus melakukan penelitian tentang spesies hewan yang ada di dunia. salah satu hewan yang spesiesnya memiliki banyak variasi adalah burung. Tiap jenis burung memiliki perbedaan-perbedaan, mulai dari bentuk anggota tubuhnya, prilakunya, makanannya hingga suaranya. Ilmuwan sering juga mengalami kesulitan untuk melakukan pengamatan di alam. Misalnya, untuk mengetahui spesies burung apa saja yang ada di suatu daerah, mereka harus hadir di suatu wilayah, dan menelusuri setiap pelosok. kadang kala kehadiran mereka di tempat tersebut dalam jangka waktu lama, malah mengusik burung yang ada, dan burung-burung malah pergi meninggalkan tempat, sebelum berhasil diamati. Salah satu cara untuk mendeteksi burung apa saja yang ada di suatu wilayah, tanpa harus mengusik keberadaan burung adalah dengan menggunakan alat bantu. Bisa dengan menggunakan kamera video untuk mengambil gambar lingkungan sekitar, atau dengan perekam suara, untuk merekam suara burung yang ada di sana. Untuk itu penelitian ini ditujukan untuk membuat sebuah pengklasifikasi suara burung secara otomatis. Fitur yang digunakan adalah rhythm, pitch, mean, varian, min, max, dan delta dari suara burungnya. dari hasil klasifikasi 4 jenis burung, didapatkan hasil rata-rata akurasi terbaik sebesar 88.82%. Kata Kunci : suara burung, klasifikasi, rhythm, pitchAbstractMany of Biologi scientist, especially in the field of biodiversity, conduct research on the animal species that exist in the world. One of the animal which is largely diverse in species is bird. Each species of birds have differences, from the shape of his body, his behavior, his food to it's voice. Scientists often find it difficult to make observations in nature. For example, to determine which species of birds present in an area, they should be present in an area, and explore every corner. sometimes their presence in that place for a long time, even disturb the bird, and they leaving the place, before been observed. One way to detect any bird that is in an area, without having to disturb the presence of birds is to use the automatic tools. For example to use a video camera to take pictures of the surrounding environment, or with voice recorders to record the sound of the birds that were there. This study is aimed to create a classifier bird sound automatically. Features used are rhythm, pitch, mean, variance, min, max, and delta of the bird sound samples. of the results of the classification of four types of birds, showed the best average of accuracy is 88.82%. Key Word : bird song, classification, rhythm, pitch.

Registrasi Citra Dental Menggunakan Feature From Accelerated Segment Test dan Local Gabor Texture For Iterative Point Correspondence Ahmad Afif Supianto; Budi Darma Setiawan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 4 No 4: Desember 2017
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

AbstrakRegistrasi citra di bidang periodontal telah dikembangkan untuk melakukan evaluasi terhadap tulang alveolar. Masalah yang disebabkan oleh kesalahan saat ekstraksi fitur atau oleh degradasi gambar bisa timbul pada proses pencocokan fitur. Selain itu, teknik registrasi citra yang didasarkan pada fitur seperti titik, identifikasi tepian (edges), kontur, atau fitur yang lain yang biasa digunakan untuk membandingkan gambar dan kemudian memetakannya merupakan teknik yang sangat sensitif terhadap keakuratan pada tahap ekstraksi fitur. Dari kedua argumen ini, maka diperlukan teknik ekstraksi fitur yang tangguh untuk mencegah terjadinya kesalahan pada proses pencocokan fitur sehingga mendapatkan hasil registrasi citra yang akurat. Pada penelitian ini, diusulkan metode baru untuk registrasi citra. Metode yang diusulkan menggunakan metode ekstraksi fitur yang efektif terhadap akurasi dan efisien terhadap waktu komputasi dengan menerapkan Learning Features, yaitu Feature from Accelerated Segment Test (FAST) sebagai metode ekstraksi fitur. Selain itu, akan dilakukan pengembangan terhadap proses pencocokan fitur dengan menerapkan Local Gabor Texture (LGT) pada algoritma Iterative Point Correspondence (IPC) untuk melakukan registrasi pada citra dental periapikal. Uji coba dilakukan terhadap 8 citra grayscale dental periapikal dan berhasil melakukan registrasi citra pada citra dental periapikal dengan nilai akurasi rata-rata diatas 93% dengan jumlah iterasi minimal mulai dari 400 iterasi.Kata kunci: registrasi citra, learning feature, local gabor texture, iterative point correspondence, citra dental periapikalAbstractImage registration in the periodontal field has been developed to evaluate alveolar bones. Problems caused by errors during feature extraction or by image degradation can arise in feature matching process. In addition, image registration techniques that are based on features such as points, identification of edges, contours, or other features commonly used to compare images and map them are very sensitive techniques for accuracy at the feature extraction stage. From both of these arguments, a robust feature extraction technique is needed to prevent mistakes in the feature matching process to get image registration results accurately. In this study, a new method for image registration is proposed. The proposed method uses an effective feature extraction method for accuracy and efficient computing time by applying learning features, which is Feature from Accelerated Segment Test (FAST) as a feature extraction method. In addition, a feature-matching process will be developed by applying Local Gabor Texture (LGT) to the Iterative Point Correspondence (IPC) algorithm to register on the periapical dental images. The experiments were conducted on 8 grayscale dental periapical images and successfully registered the image in periapical dental image with an average accuracy more than 93% with a minimum iteration count starting from 400 iterations.Keywords: image registration, learning feature, local gabor texture, iterative point correspondence, dental periapical images

Fitur Length Of Edge Dan Moment Invarian Untuk Gesture Recognition Dengan Menggunakan Kinect Untuk Kontrol Lampu Rekyan Regasari MP; Budi Darma Setiawan; Issa Arwani
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 2 No 1: April 2015
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

AbstrakTeknologi Kinect adalah teknologi yang dikembangkan untuk game. Kinect memungkinkan pemain game mengontrol permainan dengan menggunakan gerakan dan suara. Hal ini dikarenakan di dalam Kinect terdapat 3 hardware yang bekerja bersama-sama. Tiga hardware tersebut yaitu color VGA video camera, sensor kedalaman, dan multi array microphones. Karena itu, penelitian ini mencoba mengembangkan sensor Kinect untuk keperluan mendeteksi telapak tangan dan gesturnya untuk digunakan sebagai kontrol lampu. Hal ini dilakukan dengan menambahkan beberapa proses pengolahan citra. Pengenalan telapak tangan, menggunakan sensor VGA camera dan depth camera dalam Kinect. Ketika seorang pengguna menjulurkan tangannya kearah sensor, kemudian mengangkat jarinya maka program akan bereaksi. Jika 2 jari yang diangkat maka program akan mengaktifkan saklar padam. Sedangkan jika 5 jari yang diangkat, maka program akan mengaktifkan saklar hidup. Dalam penelitian ini ada 2 fitur yang digunakan dan dibandingkan hasilnya. Fitur yang digunakan adalah fitur Moment Invariant dan Length of Edge. Hasil lebih baik diberikan jika pengenalan dilakukan dengan menggunakan Length of Edge. Dari seluruh data uji yang dipakai, untuk pengenalan dengan menggunakan fitur Length of Edge, akurasi maksimal diperoleh sebesar 100%, sedangkan dengan menggunakan fitur Moment Invariant, akurasi maksimal diperoleh sebesar 80%.Kata kunci: Moment Invarian, Length of Edge, gesture telapak tanganAbstractKinect is a technology developed for game. Kinect allows players to control game play by using movement and sound. This is because Kinect has 3 hardware that work together. The three hardware are VGA video camera, depth sensor and multi-array microphones. Therefore, this study attempts to use Kinect sensor for detecting the palm's gestures and use them as a light control. This is done by adding some image processing technique. The palm's gesture detection is done by using the VGA camera and depth camera in Kinect Sensor. When a user sticking his hand out and raise his fingers, then program will gives response. If 2 fingers are raised, program will activate off switch, while if 5 fingers are raised, program will activate on switch. There are two features are used in this study, and the results are compared. The features are Moment Invariant and Length of Edge. Better results given by recognition using the Length of Edge. From all the test data used, recognition using Length of Edge give 100% accuracy, while recognition using Moment Invariant features, give 80% in acuracy.Keywords: Moment Invarian, Length of Edge, palm gesture

Pengembangan Aplikasi Kamus Istilah Ilmiah Dengan Bahasa Isyarat untuk Peningkatan Kualitas Belajar Siswa Tuna Rungu Budi Darma Setiawan; Fajar Pradana
Indonesian Journal of Disability Studies Vol. 4 No. 1 (2017)
Publisher : The Center for Disability Studies and Services Brawijaya University

The government guarantees the absence of a difference for all Indonesian citizens to get education in higher education. Educational needs for every disability is different. Suppose the deaf students, to communicate highly dependent on writing and sign language. From the field observations problems found sign language that is used has a lot of variations, especially for scientific terms such as for example: cell, engineering, photosynthesis and others. This causes the communication becomes slower so that deaf students have difficulty understanding the material taught in the lectures. For that we need to make a media in the form of software to save the new terms as well as sign language. The media should also be accessible though many people (online). This way, if someone is having difficulty in finding a cue for a term, he can look for it on this media. From the results of tests performed, the application is able to enhance the understanding of the time three seconds faster than before using the app. On the usability and user acceptance testing, the application has largely met the expectations of the user.

Optimasi Penjadwalan Mata Pelajaran Menggunakan Metode Tabu Search: STUDI KASUS: SMKN 2 SINGOSARI Olive Khoirul L.M.A.; Agus Wahyu Widodo; Budi Darma Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 1 (2017): Januari 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (859.119 KB)

Penjadwalan merupakan salah satu proses penting yang harus dilakukan oleh setiap organisasi untuk mencapai tujuan organisasi. Permasalahan penjadwalan dapat terjadi pada berbagai organisasi, terutama organisasi dengan sumber daya yang besar seperti perusahaan, pemerintahan,dan institusi pendidikan. Di SMKN 2 Singosari terdapat delapan jurusan, sehingga penjadwalan mata pelajaran menjadi salah satu masalah rumit yang selalu terjadi setiap awal semester. Selama ini proses penjadwalan yang berlangsung di SMKN 2 Singosari masih berjalan secara manual menggunakan bantuan Microsoft Excel. Sebuah sistem cerdas berbasis web dibuat untuk memudahkan proses penjadwalan di SMKN 2 Singosari. Sistem ini menggunakan algoritma Tabu Search untuk melakukan proses penjadwalan mata pelajaran. Dalam metode Tabu Search, solusi awal berupa jadwal dibangkitkan secara random, kemudian dicari solusi akhirnya dan yang menjadi Tabu List adalah kumpulan move berbentuk array yang merupakan solusi jadwal mata pelajaran dengan nilai total penalti paling kecil pada tiap iterasi. Hasil penjadwalan yang dibangkitkan memiliki total penalti sebesar 302 untuk penjadwalan pada 8 kelas.

Penentuan Portofolio Saham Optimal Menggunakan Algoritma Genetika Rinda Wahyuni; Wayan Firdaus Mahmudy; Budi Darma Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 1 (2017): Januari 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (673.15 KB)

In making investments investors often faced with two things, return expectation and risk rate. Therefore to reduce the risk rate investors diversifying by combining securities in investment, or commonly referred to a stock portfolio. This research implements genetic algorithm to determine the proportion of stocks to generate optimum return expectation with risk rate that can be justified. Based on the test result, genetic algorithm can determine the stocks proportion with greater return expectation and risk rate is smaller than manual calculation using single index model. The largest fitness is 0,356522 in exercise condition of genetic algorithm parameter with population size is 100, the number of generations is 100, crossover rate 0,3, and mutation rate 0,7.

Co-Authors Abdul Fatih Achmad Basuki Achmad Fahlevi Addin Sahirah, Rafifa Adinugroho, Sigit Aditya Chandra Nurhakim Aditya Kresna Bayu Arda Putra Agung Nurjaya Megantara Agus Wahyu Widodo Ahmad Afif Supianto Ahmad Afif Supianto Akhmad Eriq Ghozali Akmal Subakti Wicaksana Alfi Nur Rusydi Almira Syawli, Almira Amaliah Gusfadilah Andhi Surya Wicaksana Andika Harlan Angga Dwi Apria Rifandi Anjasari, Ni Luh Made Beathris Aria Bayu Elfajar Asghany, Yusrian Ashidiq, Muhammad Fihan Azmi Makarima Yattaqillah Baihaqi, Galih Restu Barlian Henryranu Prasetio Bayu Rahayudi Bintang, Tulistyana Irfany Budi Santoso Cahyo Adi Prasojo Candra Dewi Candra Dewi Chelsa Farah Virkhansa Cindy Inka Sari Cinthia Vairra Hudiyanti Civica Moehaimin Dhewanty Deby Chintya Dellia Airyn Delpiero, Rangga Raditya Dewi, Buana Dhan Adhillah Mardhika Dian Eka Ratnawati Diva, Zahra Dwi Anggraeni Kuntjoro Dwi Ari Suryaningrum Dwi Damara Kartikasari Edo Fadila Sirat Eka Novita Shandra Eka Yuni Darmayanti Eti Setiawati Fadhlillah Ikhsan Fajar Nur Rohmat Fauzan Jaya Aziz Fajar Pradana Fanny Aulia Dewi Fattah, Rafi Indra Fatwa Ramdani, Fatwa Febri Ramadhani Fikri Hilman Fitra Abdurrachman Bachtiar Fitria, Tharessa Fitrotuzzakiyah, Shafira Puspa Gandhi Ramadhona Gembong Edhi Setiawan Gilang Ramadhan Hendra Pratama Budianto Husin Muhamad Imam Cholisoddin Imam Cholissodin Imam Cholissodin Imam Cholissodin Indah Larasati Indriati Indriati Indriati Irfan Aprison Irma Lailatul Khoiriyah Irma Nurvianti Irma Ramadanti Fitriyani Ismiarta Aknuranda Issa Arwani Issa Arwani Issa Arwani Jobel, Roenrico Karina Widyawati Khairunnisa, Alifah Kholifa'ul Khoirin Koko Pradityo Lailil Muflikhah M Kevin Pahlevi M. Ali Fauzi M. Raabith Rifqi M. Rikzal Humam Al Kholili M. Tanzil Furqon Mahar Beta Adi Sucipto, Ekmaldzaki Royhan Mahendra Data Mahendra Data Marji Marji Masayu Vidya Rosyidah Maulana, M. Aziz Mayang Arinda Yudantiar Meilia, Vina Mimin Putri Raharyani Mindiasari, Irtiyah Izzaty Miracle Fachrunnisa Almas Moch. Khabibul Karim Mochamad Chandra Saputra Mohamad Alfi Fauzan Muhammad Arif Hermawan Muhammad Dimas Setiawan Sanapiah Muhammad Khaerul Ardi Muhammad Rizkan Arif Muhammad Syaifuddin Zuhri Muhammad Tanzil Furqon Mustofa Robbani Muthia Azzahra Nadia Natasa Tresia Sitorus Nainggolan, Cesilia Natasya Nanda Agung Putra Nashrullah, Nashrullah Nelli Nur Rahma Ni'mah Firsta Cahya Susilo Nihru Nafi' Dzikrulloh Noval Dini Maulana Novanto Yudistira Nur Intan Savitri Bromastuty Nurhana Rahmadani Nurudin Santoso Nurul Hidayat Oky Krisdiantoro Olive Khoirul L.M.A. Panjaitan, Mutiharis Dauber Pindo Bagus Adiatmaja priharsari, diah Purnomo, Welly Putra Pandu Adikara Putra, Octo Perdana Putri, Rania Aprilia Dwi Setya Rachmatika, Isnayni Sugma Radifah Radifah Rafely Chandra Rizkilillah Rahmadi, Anang Bagus Rahmat Faizal Raissa Arniantya Randy Cahya Wihandika Ratna Candra Ika Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Rekyan Regasari MP Rekyan Regasari MP, Rekyan Regasari Rendi Cahya Wihandika Retiana Fadma Pertiwi Sinaga Revanza, Muhammad Nugraha Delta Revinda Bertananda Reza Wahyu Wardani Rhobith, Muhammad Ridho Agung Gumelar Rima Diah Wardhani Rinda Wahyuni Rizal Setya Perdana Rizal Setya Perdana Rizki Agung Pambudi Rizky Haqmanullah Pambudi Robih Dini Rosi Afiqo Rudito Pujiarso Nugroho Rudy Usman Azzakky Ryan Mahaputra Krishnanda Sabriansyah Rizkiqa Akbar Santoso, Nurudin Satrio Hadi Wijoyo Shelly Puspa Ardina Sigit Adinugroho Silfiatul Ulumiyah Sintiya, Karena Siti Fatimah Al Uswah Siti Utami Fhylayli Sri Wahyuni Suryani Agustin Sutrisno Sutrisno Tahajuda Mandariansah Talitha Raissa Tibyani Tibyani Tri Afirianto Tria Melia Masdiana Safitri Ulfah Mutmainnah Vina Meilia Wayan Firdaus Mahmudy Yerry Anggoro Yosendra Evriyantino Yuita Arum Sari Yuita Arum Sari Yulfa Hadi Wicaksono Zubaidah Al Ubaidah Sakti

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