Article Per Year (5 Year)
p-Index From 2019 - 2024
3.452
P-Index
This Author published in this journals
All Journal Jurnal F. Teknik : RESULTAN Paradigma : Journal of Science, Religion and Culture Studies Perfecting a Video Game with Game Metrics PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JREC (Journal of Electrical and Electronics) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Cakrawala : Jurnal Humaniora Bina Sarana Informatika Bina Insani ICT Journal Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Jurnal Komtika (Komputasi dan Informatika) Jurnal Kajian Ilmiah Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat DEVOSI Journal of Students‘ Research in Computer Science (JSRCS) Journal Of Computer Science Contributions (JUCOSCO)
Rahmadya Trias Handayanto
Program Studi Teknik Komputer Fakultas Teknik, Universitas Islam 45
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Transportation Other

Published : 41 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 41 Documents
Search

 1   2   3   4   5 
SUITABILITY ANALYSIS FOR RICE PRODUCTION IN SAKON NAKHON PROVINCE Handayanto, Rahmadya Trias; Hirunpongchai, Anussara; Teng, Boravin; Saengmanee, Khanittha; Khangkhun, Nutthapong
JREC (Journal of Electrical and Electronics) Vol 2, No 2 (2014): JREC (Journal of Electrical and electronics)
Publisher : JREC (Journal of Electrical and Electronics)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The factors affecting suitability locations for rice plantation in Sakon Nakhon province will be found using this Geographic Information System (GIS) software by doing manipulation and analysis of spatial data from Thailand government. The data for finding the suitable area for rice plantation are rainfall, elevation, slope, soil depth, soil texture, soil pH, and soil drainage. Based on past result we create factors affected rice production. We analyze the data by reclassify, aggregate, weighted datasets, and overlay technique. Finally, by multiplying these factors, the suitable area for rice plantation is generated. The result shows the map of suitable land use for rice plantation in Sakon Nakhon province which is divided into categories: not suit, marginally suit, moderately suit, and highly suit with percentage from total area 52.5% (5037.94 km2), 36.42% (3488.90 km2), 9.95% (953.47 km2) and 1.05% (100.44 km2) respectively. Key words: GIS, Land Suitability, Rice Production
OPTIMIZING GAS STATION LOCATION USING GENETIC ALGORITHMS Handayanto, Rahmadya Trias; Soenyoto, Soedarmin; Handoyo, Yopi
BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Vol 1 No 1 (2013): BENTANG Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil
Publisher : Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.374 KB)

Abstract

Gas station location is not only based on financial but also environment aspects because it will give negative impact if there are some accidents such as fire, tank leakage, etc. Helping customer in supplying fuels should not sacrifice other needs such as health, food, education, living circumstance, and so on. Therefore we propose the system that can help someone deciding and analyzing the location of gas station, especially when doing proper analysis. By using genetic algorithms our system can find optimum location of gas station after considering other important location that must be far away from it. The distance from important place was counted by normal euclidean after converting road and the river at map into nonlinear equation using interpolation. Population was generated from converting road on the map into equation. The important places that must be far away from gas station are collected and with that equation then give an objective function. Testing result showed the system could find optimum gas stations location at Bekasi regency. Keywords : GAS STATION, GENETIC, ALGORITHMS
SIRIP PENDINGIN (FIN) TAMBAHAN UNTUK MENINGKATKAN STABILITAS AERODINAMIKA DAN EFEKTIVITAS PERPINDAHAN PANAS PADA SEPEDA MOTOR Handayanto, Rahmadya Trias; Hidayat, Wahyu; ., Herlawati
RESULTAN : Jurnal Kajian Teknologi Vol 13 No 2 (2011): RESULTAN
Publisher : RESULTAN : Jurnal Kajian Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.473 KB)

Abstract

There are two problems when motorbike running at high speed: the aerodynamic effect and over heating of the engine. As a two wheels vehicle, motorbike must keep the tyre at the road to avoidfrom accident. When it runs at high speed, the aeorodynamic factor must be counted. If there is a different from upper and lower air speed of a plat, there must be a force to it. It is very dangerous if the force is lift force because it make the traction of tyre down, so in this research I propose additional design for this purpose. Not only for stabilisation of vehicle, this propose design also has a function as a fin for heat exchanger from engine to air. Analysis by Computational Fluid Dynamics (CFD) to my propose design was adequate for aerodynamic and heat transfer analysis
PENGARUH UNSPRUNG MASS PADA SEPEDA MOTOR DENGAN SISTEM TRANSMISI CONTINUOUS VARIABLE TRANSMISSION (CVT) Handayanto, Rahmadya Trias
RESULTAN : Jurnal Kajian Teknologi Vol 10 No 01 (2010): RESULTAN
Publisher : RESULTAN : Jurnal Kajian Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (788.904 KB)

Abstract

For many years, engineers have been using programming language for calcu­lating their designs. That languages are Fortran, C++, Basic and other console program and also Visual Basic, Visual C++, Delphi, Java and other GUI based program. After they have finished, sometimes they found inappropriate result, so they must recalculate again. We could not only say that our design was right or wrong, designer must know what is the best result from our calculation based on nice, comfort, smooth and safety In this paper I try to choose which programming language that support both numerical computation and simulation at the same time. With MATLABI try to show the simple coil spring design of two derees of free­dom of suspension system and at the same time simulate the result by step re­sponse, impulse response, root locus and bode diagram. With this simple script we can compare CVT transmission with manual transmission in motorcycle related to unsprung mass effect
MACHINE LEARNING BERBASIS DESKTOP DAN WEB DENGAN METODE JARINGAN SYARAF TIRUAN UNTUK SISTEM PENDUKUNG KEPUTUSAN Handayanto, Rahmadya Trias; Herlawati, Herlawati
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (416.565 KB) | DOI: 10.31603/komtika.v4i1.3698

Abstract

Machine learning application demand is increased massively because it provides good ability in the classification that is needed by decision makers. Machine learning application uses a programming language with strong characteristics in computing, usually the back-end programming language, such as Matlab, Python, R, etc. The obstacle faced by the decision support system developer is preparing an interface that makes it easy for the user. Some back-end programming languages have provided a good interface. Therefore, in this study they were compared by taking the case of a scholarship decision support system. The language used is Python with two web-based applications including Google Interactive Notebook and Flask framework. Both devices have their respective advantages and are worthy of being the first choice in the design of decision support systems.Python has advantages with framework Flask support and Matlab is easy in interface design.    
Optimasi Penggunaan Android Sebagai Peluang Usaha Di Masa Pandemik COVID’19 Samsiana , Seta; Handayanto, Rahmadya Trias; Gunarti, Anita Setyowati Srie; Raharja, Irwan; Khasanah , Fata Nidaul; Herlawati, Herlawati; Maimunah, Maimunah; Benrahman, Benrahman
Jurnal Abdimas UBJ (Pengabdian Kepada Masyarakat) Vol. 3 No. 2 (2020): Juni 2020
Publisher : Lembaga Penelitian Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1082.342 KB) | DOI: 10.31599/jabdimas.v3i2.205

Abstract

Some community service activities have been done as a tangible form in building a resilient community in the current Covid '19 pandemic situation. Indonesia at the moment, from the various sectors of life, experienced the bad impact caused by this pandemic, especially in the economic sector. The current community service activity has three objectives: general, specific, and sustainable objectives. It has been carried out to accelerate the growth of entrepreneurial-skill and independent communities to fight against Covid'19 disaster. Housewives, in particular, the committee members of Islamic elementary school (SDIT) Prestasi Cendikia in Bekasi became our target community. The implementation process was as follows. 1) Participant registration through the Webinar. 2) Implementation of the activity through an online meeting with Google Meet, which was divided into two sessions, i.e. the first session of theoretical material such as Android functions, means of promotion, and managing the risk of failure; the importance of mastery of Android as a social medium of sales was explained. In addition, some technical application sessions were demonstrated directly in making the sales on the android app, i.e. shoope, selly and canva. 3) The evaluation where each participant filled a response about the implementation of this community service both training and workshop. The results of the questioner were presented through menti.com site that can be seen directly the values or graphs based on the participants' responses. The results showed that the participants demonstrated their creativity and were able to utilize Android as well as social media to sell products (services and goods). Keywords: Community Service, Android, SDIT Prestasi Cendikia. Abstrak Kegiatan pengabdian kepada masyarakat ini muncul sebagai wujud nyata membangun masyarakat tangguh di era pandemik Covid’19. Dimana Indonesia saat ini, dari berbagi sektor kehidupan mengalami kepurukan dihantam habis dampak pandemik, terlebih pada sektor ekonomi. Kegiatan ini mempunyai tiga tujuan, tujuan secara umum, khusus dan berkepanjangan. Kegiatan ini dilakukan untuk percepatan proses pertumbuhan kewirausahaan masyarakat mandiri dalam suasana Covid’19. Ibu-ibu rumah tangga khususnya anggota komite sekolah SDIT Prestasi Cendikia Bekasi menjadi masyarakat bidikan pengabdian kami. Metode pelaksanaan diawali dengan (1) Registrasi peserta melalui google form, Tahap (2) Pelaksanaan kegiatan melalui google meet, dengan materi seperti fungsi Android, sarana promosi, managemen dan resiko kegagalan, serta penjelaskan akan pentingnya penguasaan Android sebagai meda social penjualan. Tahap (3) Evaluasi: setiap peserta mengisi respon atau tanggapan terhadap pelaksanaan workshop pengabdian masyarakat ini. Hasil dari kuesioner melalui menti.com akan terlihat langsung nilai ataupun grafik tanggapan peserta pelatihan. Respon yang diperoleh kegiatan workshop bagus dan perlu dilanjutkan untuk masa-masa berikutnya. Hasil pelatihan ini peserta mampu melatih kreatifitas, membangun semangat memulai bisnis online dengan memanfaatkan penggunaan Android sebagai media sosial penjualan produk-produk baik jasa maupun barang. Kata Kunci: Pengabdian Masyarakat, Android, SDIT Prestasi Cendikia.
Pemanfaatan Media Sosial dan Ecommerce Sebagai Media Pemasaran Dalam Mendukung Peluang Usaha Mandiri Pada Masa Pandemi Covid 19 Nidaul Khasanah, Fata; Herlawati; Samsiana, Seta; Trias Handayanto, Rahmadya; Setyowati Srie Gunarti, Anita; Irwan Raharja; Maimunah; Benrahman
Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Vol. 1 No. 1 (2020): Juli 2020
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jstpm.v1i1.255

Abstract

Perkembangan teknologi informasi di Indonesia meningkat pesat dari hari ke hari. Hal ini dipengaruhi oleh berbagai macam faktor mulai dari perluasan area cakupan internet, peningkatan bandwidth internet, penggunaan teknologi internet dan komunikasi terbaru yang lebih cepat dan efisien, perkembangan ponsel pintar, munculnya berbagai macam media sosial dan ecommerce, serta semakin banyaknya masyarakat yang paham dan aktif menggunakan internet. Saat ini peranan teknologi informasi berpengaruh dalam dunia ekonomi khususnya dalam hal penjualan online atau dikenal ecommerce. Mitra dalam kegiatan pengabdian masyarakat adalah sekelompok orang tua komite salah satu sekolah dasar swasta di Bekasi. Latar belakang dari pihak mitra memiliki sampingan usaha yang dilakukan secara mandiri dengan berbagai jenis bidang usaha seperti diantaranya makanan, pakaian, jasa laundry, kesehatan dan lain sebagainya. Dalam pelaksanaannya jenis usaha yang dilakukan cenderung masih pasif dengan menunggu pesanan dari konsumen dan kurangnya pemanfaatan media sosial maupun ecommerce di era digital saat ini. Solusi yang diusulkan dengan melakukan suatu kegiatan pelatihan optimalisasi penggunaan perangkat smartphone dengan memanfaatkan media sosial dan ecommerce yang ada sebagi media pemasaran dalam mendukung peluang usaha di masa pandemic Covid 19. Kegiatan ini bertujuan untuk merubah pola pelaku usaha dari model pemasaran tradisional ke model pemasaran modern dengan memanfaatkan digital teknologi informasi. Dengan memanfaatkan digital teknologi informasi tersebut diharapkan kegiatan usaha yang dilakukan mampu meningkatkan margin keuntungan, pangsa pasar yang semakin meluas, volume penjualan meningkat dan biaya pemasaran yang dapat diminimalkan. Hasil penilaian yang diperoleh menunjukkan bahwa dari sisi kepuasan peserta terhadap pelaksanaan kegiatan sebesar 4,4 dilanjutkan untuk manfaat dari kegiatan sebesar 4,5 dan untuk manfaat dari materi yang disampaikan sebesar 4,4. Sehingga kegiatan pengabdian masyarakat yang dilakukan ini memperoleh nilai rata-rata sebesar 4,4 dari skala tertinggi 5.
Prediksi Kelas Jamak dengan Deep Learning Berbasis Graphics Processing Units Handayanto, Rahmadya Trias; Herlawati, Herlawati
Jurnal Kajian Ilmiah Vol. 20 No. 1 (2020): Januari 2020
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (569.762 KB) | DOI: 10.31599/jki.v20i1.71

Abstract

For the first time, machine learning did the classical classification process using two classes (bi-class) such as class -1 and class +1, 0 and 1, or the form of categories such as true and false. Famous methods used are Artificial Neural Networks (ANN) and Support Vector Machine (SVM). The current development was a problem with more than two classes, known as multi-class classes. For SVM sometimes the plural classes are overcome by doing a gradual process like a decision tree (DT) method. Meanwhile, ANN has experienced rapid development and is currently being developed with a large number of layers with the new activation functions, i.e. the rectified linear units (ReLu), and the probabilistic-based activation, i.e. softmax, including its optimizer methods (adam, sgd, and others). Then the term changed to Deep Learning (DL). This study aimed to compare two well-known methods (DL and SVM) in classifying multiple classes. The number of DL layers was six with the neuron composition are 128, 64, 32, 8, 4, and 3, while SVM uses a radial kernel base function with gamma and c respectively 0.7 and 5. Besides, this study intends to compare the use of the Graphics Processing Unit (GPU) available on Google Interactive Notebook (Google Colab), an online Python language programming application. The results showed that DL accuracy outperformed SVM but required large computational resources, with the accuracy for DL and SVM are 99% and 98%, respectively. However, the use of the GPU can overcome these problems and is proven to increase the speed of the process as much as 47 times. Keywords: Artificial Neural Networks, Graphics Processing Unit, Google Interactive Notebook, Rectified Linear units, Support Vector Machine. Abstrak Di awal perkembangannya mesin pembelajaran melakukan proses klasikfikasi menggunakan dua kelas (bi-class) misalnya kelas -1 dan kelas +1, 0 dan 1, atau bentuk kategori seperti benar dan salah. Metode terkenal yang digunakan adalah Jaringan Syaraf Tiruan (JST) dan Support Vector Machine (SVM). Perkembangan selanjutnya adalah problem dengan kelas yang lebih dari dua kelas, dikenal dengan istilah kelas jamak (multi-class). Untuk SVM terkadang kelas jamak diatasi dengan melakukan proses berjenjang mirip pohon keputusan (decision tree). Sementara itu JST telah mengalami perkembangan yang pesat dan saat ini sudah dikembangkan dengan jumlah layer yang banyak disertai dengan fungsi-fungsi aktivasi terkini seperti rectified linear unit (ReLu), dan softmax yang berbasis probabilistik, termasuk juga metode-metode optimizernya (adam, sgd, dan lain-lain). Kemudian istilahnya berubah menjadi Deep Learning (DL). Penelitian ini mencoba membandingkan dua metode terkenal (DL dan SVM) dalam melakukan klasifikasi kelas jamak. Jumlah layer DL sebanyak enam dengan masing-masing neuron sebesar 128, 64, 32, 8, 4, dan 3, sementara SVM menggunakan kernel radial basis function dengan gamma dan c berturut-turut 0.7 dan 5. Selain itu penelitian ini bermaksud membandingkan penggunaan Graphics Processing Unit (GPU) yang tersedia di Google Interactive Notebook (Google Colab), sebuah aplikasi online pemrograman bahasa Python. Hasil penelitian menunjukan akurasi DL unggul tipis dibanding SVM namun memerlukan sumber daya komputasi yang besar masing-masing dengan akurasi 99% dan 98%. Namun penggunaan GPU mampu mengatasi permasalahan tersebut dan terbukti meningkatkan kecepatan proses sebanyak 47 kali. Kata kunci: Jaringan Syaraf Tiruan, Graphics Processing Unit, Google Interactive Notebook, Rectified Linear units, Support Vector Machine.
Penggunaan Matlab dan Python dalam Klasterisasi Data Herlawati , Herlawati; Handayanto , Rahmadya Trias
Jurnal Kajian Ilmiah Vol. 20 No. 1 (2020): Januari 2020
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (550.65 KB) | DOI: 10.31599/jki.v20i1.85

Abstract

Abstract Organizations need to dig through the data clustering process, both past data and data from the internet. Sometimes the data has to be re-clustered to match the actual conditions. Therefore, it is necessary to prepare clustering support equipment. In this study the K-Means method was chosen for comparing two technical computational languages, i.e. Matlab and Python which are currently in great demand by researchers and can be used by organizations for a clustering process. This study showed both Matlab and Python have enough libraries (libraries) and toolboxes to help users in data clastering as well as graphics presentation. The test results show that the two programming languages are capable of carrying out the clustering process with two clusters; cluster 1 with a center point at coordinates (1.24, 1.34) and cluster 2 with a center point at coordinates (3.1, 3.07) and are presented by a cluster distribution plot. Keywords: Clusterization, K-Means, Matlab, Python. Abstrak Organisasi perlu menggali data lewat proses klasterisasi data, baik data lampau maupun data dari internet. Terkadang data harus dilakukan klasterisasi ulang untuk mencocokan dengan kondisi yang sebenarnya. Oleh karena itu perlu dipersiapkan peralatan pendukung klasterisasi. Dalam penelitian ini metode K-Means dipilih untuk membandingkan dua bahasa komputasi teknis yaitu Matlab dan Python yang sekarang ini banyak diminati para peneliti yang dan dapat digunakan oleh organisasi yang membutuhkan proses klasterisasi. Hasil dari penelitian ini menunjukan baik Matlab maupun Python memiliki cukup pustaka (library) dan toolbox dalam membantu pengguna mengklasterisasi data, mempresentasikan grafik. Hasil pengujian menunjukan kedua Bahasa pemrograman mampu menjalankan proses klasterisasi berupa klaster 1 yang memiliki titik pusat yang berada pada koordinat (1.24, 1.34) dan klaster 2 dengan titik pusat yang berada pada koordinat (3.1, 3.07) disertai dengan plot sebaran klasternya. Kata kunci: Klasterisasi, K-Means, Matlab, Python.
Efektifitas Pembatasan Sosial Berskala Besar (PSBB) di Kota Bekasi Dalam Mengatasi COVID-19 dengan Model Susceptible-Infected-Recovered (SIR) Handayanto, Rahmadya Trias; Herlawati, Herlawati
Jurnal Kajian Ilmiah Vol. 20 No. 2 (2020): Mei 2020
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (434 KB) | DOI: 10.31599/jki.v20i2.119

Abstract

To overcome the COVID-19 outbreak, the government did not carry out the lockdown policy (regional quarantine policy) but implemented the Large-Scale Social Restrictions (PSBB) policy. Starting from the capital city of Jakarta, this policy was followed by other regions. Bekasi City as a buffer zone of Jakarta immediately implemented the PSBB policy since this area is close to Jakarta and is feared to be affected by the Jakarta region which is a red zone with almost half of Indonesian COVID-19 cases are in the Jakarta area. Many people do not agree with the PSBB, but in order to keep the economic growth as well as to overcome the outbreak, the government does not adopt a regional quarantine policy. To determine the effectiveness of PSBB in the city of Bekasi, this study tried to use the Susceptible-Infected-Recovered (SIR) model to measure the spread rate of COVID-19. The results showed a decrease in the number of infected cases with beta and gamma were 0.071 and 0.05, respectively, and the epidemic was predicted to end in June 2020. Keywords: coronavirus, epidemic, pandemic, regional quarantine policy, Bekasi City Abstrak Dalam mengatasi wabah COVID-19, pemerintah tidak melakukan karantina wilayah (lock down) tetapi menggunakan kebijakan Pembatasan Sosial Berskala Besar (PSBB). Dimulai dari ibukota Jakarta, kebijakan ini diikuti oleh wilayah lainnya. Kota Bekasi sebagai wilayah penyangga Jakarta segera menerapkan kebijakan PSBB mengingat wilayah ini berdekatan dengan Jakarta dan dikhawatirkan terpengaruh dengan kota Jakarta yang merupakan zona merah dengan hampir separuh kasus COVID-19 ada di wilayah Jakarta. Banyak pihak yang mendukung dan juga kurang setuju dengan PSBB, namun agar perekonomian tetap berjalan dan wabah dapat diatasi, pemerintah tidak mengambil kebijakan karantina wilayah. Untuk mengetahui efektifitas PSBB di kota Bekasi, penelitian ini mencoba menggunakan model Susceptible-Infected-Recoverd (SIR) untuk mengukur laju penyebaran COVID-19. Hasilnya menunjukan adanya laju penurunan kasus terinfeksi dengan beta dan gamma beruturut-turut sebesar 0,071 dan 0,05 dan diprediksi akan berakhir di bulan Juni 2020. Kata kunci: virus corona, epidemik, pandemik, karantina wilayah, Bekasi City
Co-Authors A.A. Ketut Agung Cahyawan W Aeri Sujatmiko Ahmad Liyas Sani Ahmad Wafiq Amrillah Aji Trisnantoro Andi Hasad Andy Achmad Hendharsetiawan Angga Fahreja Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anussara Hirunpongchai, Anussara Ben Rahman Benrahman Boravin Teng, Boravin Dadan Irwan Dadan Irwan Dadan Irwan Dadan Irwan Dede Rosadi Endang Retnoningsih Faisal Adi Saputra Fata Nidaul Khasanah Galih Apriansha Pradana Haryono Haryono . Haryono Haryono Haryono Haryono Heri Setiawan Herlawati Herlawati Inna Ekawati Intan Juwita Irwan Raharja Irwan Raharja Irwan Raharja Irwan Raharja Khanittha Saengmanee, Khanittha Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Malikus Sumadyo Malikus Sumadyo Muhammad Aqil Emeraldi Muhammad Arifin Muhammad Ilham Muhammad Irvan Muhammad Ramadan Fikri Muhammad Ramadhan Fikri Nitin Kumar Tripathi Nove Anggara Syah Sejati Nutthapong Khangkhun, Nutthapong Priatna, Wowon Prima Dina Atika RAFIKA SARI Rafika Sari Randika Purwadhana Retno Nugroho Whidhiasih Retno Nugroho Whidhiasih Retno Nugroho Whidhiasih Reyvan Karani Rika Sylviana Samsiana , Seta Sani, Ahmad Liyas Sella Alaida Syifa1 Sella Alayda Syifa Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Setiaji Setiaji Setyo Supratno Setyowati Srie Gunarti, Anita Soedarmin Soenyoto Soedarmin Soenyoto Sohee Minsun Kim Sri Marini Sri Rejeki Sugiyatno Sugiyatno Syahbaniar Rofiah Taufiqur Rakhman Yopi Handoyo Yopi Handoyo