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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Informatika dCartesian: Jurnal Matematika dan Aplikasi Jurnal Masyarakat Informatika JURNAL SISTEM INFORMASI BISNIS Prosiding KOMMIT Jurnal Sistem Komputer Proceedings of KNASTIK Semantik Jurnal Simetris Jurnal Buana Informatika Elkom: Jurnal Elektronika dan Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Education and Learning (EduLearn) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JREC (Journal of Electrical and Electronics) JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Ilmiah Kursor Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Jurnas Nasional Teknologi dan Sistem Informasi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Manajemen Kesehatan Indonesia Sistemasi: Jurnal Sistem Informasi Kelola: Jurnal Manajemen Pendidikan Sinkron : Jurnal dan Penelitian Teknik Informatika AdBispreneur Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Computatio : Journal of Computer Science and Information Systems Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika INTEGER: Journal of Information Technology Jurnal Penelitian Pendidikan IPA (JPPIPA) Faktor Exacta Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control INOVTEK Polbeng - Seri Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan Dinamisia: Jurnal Pengabdian Kepada Masyarakat JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI ILKOM Jurnal Ilmiah Jurnal Manajemen Informasi dan Administrasi Kesehatan Jurnal ULTIMA InfoSys Media Mahardhika J-SAKTI (Jurnal Sains Komputer dan Informatika) JUMANJI (Jurnal Masyarakat Informatika Unjani) Jurnal Informatika Kritis Journal of Humanities and Social Studies Infotronik : Jurnal Teknologi Informasi dan Elektronika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Informatika Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Mnemonic JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Frontiers Aiti: Jurnal Teknologi Informasi Journal of Information Technology Ampera JINAV: Journal of Information and Visualization JOINTER : Journal of Informatics Engineering Walisongo Journal of Information Technology Journal of Information Technology (JIfoTech) Community Medicine and Education Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Teknologi Sistem Informasi Jurnal Nasional Teknik Elektro dan Teknologi Informasi Lensa: Jurnal Kependidikan Fisika Nusantara of Engineering (NOE) TAKSONOMI INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Jurnal Manajemen Sistem Informasi d'Cartesian: Jurnal Matematika dan Aplikasi International Journal of Information Technology and Business INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Eko Sediyono
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Perbandingan Algoritma Enkripsi GGHN(8,8) dan RC4 Untuk Video Conference Satriyo, Satriyo; Sediyono, Eko; Fatchurrohim, Adian
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol1iss1pp27-32

Abstract

Encryption is a solutions to secure the information transmitted through the medium of communication that can not be intercepted by unauthorized parties. This study implemented two algorithms i.e. RC4 and GGHN (8.8) in video conference. This study compared the speed  of  both  encryption  and  decryption  of  the  encryption  algorithm,  and  perform  measurements  of  bandwidth .  From  the  results  of measurements of the speed can be concluded that the RC4 algorithm is 1.53 times and 1.34 times faster than GGHN(8,8) for encryption and  decryption  audio  data.  The  encryption  and  decryption  video  data  RC4  are  1.44  times  and  1.09  times  faster  than  GHN(8,8). Bandwidth  usage  for  video  conferencing  without  encryption  and  bandwidth  usage  on  a  video  conference  with  RC4  encryption  and GGHN (8.8) is the same.Keywords: Video Conference; RC4; GGHN(8,8); Real Time Protocol.
Studi Implementasi Adaptive Neuro Fuzzy Inference System Untuk Menentukan Normalitas Kehamilan Rusdiana, Lili; Sediyono, Eko; Surarso, Bayu
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1004.245 KB) | DOI: 10.21456/vol5iss2pp98-108

Abstract

Early detection of normality pregnancy is one of the ways to prevent more serious disorders in pregnancy. This thesis study the implementation of Adaptive Neuro Fuzzy Inference System (ANFIS) to determine the normality of pregnancy. The period of pregnancy and complaints during pregnancy are used as inputs and the normality of pregnancy as output. Data were analyzed using ANFIS method and using Sugeno FIS rules. The program simulation results show that the performance of ANFIS can be implemented to determine the normality of pregnancy. The learning results on different training with the highest level of accuracy of 77,5% can recognize the symptoms and 97.5% could identify the diagnosis to determine the normality of pregnancy. The system can provide the necessary information about the normality of pregnancy. The results show that ANFIS can be used to determine the normality of pregnancy.  
Perbandingan Kinerja Jaringan Saraf Tiruan Model Backpropagation dan General Regression Neural Network Untuk Mengidentifikasi Jenis Daging Sapi Nugroho, Nugroho; Sediyono, Eko; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (645.868 KB) | DOI: 10.21456/vol1iss1pp33-40

Abstract

The research on image identification has been conducted to identify the type of beef. The research is aimed to compare the performance of  artificial  neural  network  of  backpropagation  and  general  regression  neural  network  model  in  identifying  the  type  of  meat.  Image management is processed by counting R, G and B value in every meat image, and normalization process is then carried out by obtaining R, G, and B index value which is then converted from RGB model to HSI model to obtain the value of hue, saturation and intensity. The resulting value of image processing will be used as input parameter of training and validation programs. The performance of  G RNN model is more accurate than the backpropagation with accuracy ratio by 51%.Keyword: Identification; Backpropagation; GRNN
Perbandingan Kinerja Jaringan Saraf Tiruan Model Backpropagation dan General Regression Neural Network Untuk Mengidentifikasi Jenis Daging Sapi Nugroho, Nugroho; Sediyono, Eko; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (645.868 KB) | DOI: 10.21456/vol1iss1pp33-40

Abstract

The research on image identification has been conducted to identify the type of beef. The research is aimed to compare the performance of  artificial  neural  network  of  backpropagation  and  general  regression  neural  network  model  in  identifying  the  type  of  meat.  Image management is processed by counting R, G and B value in every meat image, and normalization process is then carried out by obtaining R, G, and B index value which is then converted from RGB model to HSI model to obtain the value of hue, saturation and intensity. The resulting value of image processing will be used as input parameter of training and validation programs. The performance of  G RNN model is more accurate than the backpropagation with accuracy ratio by 51%.Keyword: Identification; Backpropagation; GRNN
Perbandingan Kinerja Jaringan Saraf Tiruan Model Backpropagation dan General Regression Neural Network Untuk Mengidentifikasi Jenis Daging Sapi Nugroho, Nugroho; Sediyono, Eko; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (645.868 KB) | DOI: 10.21456/vol1iss1pp33-40

Abstract

The research on image identification has been conducted to identify the type of beef. The research is aimed to compare the performance of  artificial  neural  network  of  backpropagation  and  general  regression  neural  network  model  in  identifying  the  type  of  meat.  Image management is processed by counting R, G and B value in every meat image, and normalization process is then carried out by obtaining R, G, and B index value which is then converted from RGB model to HSI model to obtain the value of hue, saturation and intensity. The resulting value of image processing will be used as input parameter of training and validation programs. The performance of  G RNN model is more accurate than the backpropagation with accuracy ratio by 51%.Keyword: Identification; Backpropagation; GRNN
Perancangan Web Komersial dan Analisis Pengaruhnya Pada UMKM Makanan Kabupaten Boyolali Terhadap Transaksi Penjualan Budyastomo, Avin Wimar; Sediyono, Eko
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol2iss1pp043-051

Abstract

Penelitian berupa pemanfaatan internet atau web komersial di lingkungan UMKM Boyolali untuk memasarkan produknya menarik dan perlu untuk diteliti. Dengan sinyalemen bahwa melalui web komersial pelaku UMKM semakin kreatif mengembangkan deversifikasi usahanya dan tidak hanya menembus pasar lokal tetapi juga pasar internasional. Tujuan dari penelitian ini adalah untuk merancang sistem informasi berbasis web berwujud web komersial untuk UMKM dan menganalisis pengaruh web komersial terhadap pendapatan, biaya pemasaran dan transaksi penjualannya. Untuk mengukur pengaruh web komersial, digunakan analisis perhitungan dengan menggunakan paired samples test. Hasil yang diperoleh dari penelitian ini dengan menggunakan paired samples test adalah ada peningkatan yang positif terhadap pendapatan sebesar 9,1 % dan penurunan biaya pemasaran sebesar 48,3 %. Sehingga dapat disimpulkan bahwa penggunaan web komersial membawa pengaruh yang positif terhadap pendapatan, biaya pemasaran dan transaksi penjualan UMKM makanan di kabupaten Boyolali.   Keywords: Paired samples test; UMKM; Web Komersial
Analisis Penerimaan Teknologi E-retribusi Pasar dengan Pendekatan Theory of Reasoned Action Magdalena, Maria; Sediyono, Eko; Marwata, Marwata
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 2 (2018): Volume 8 Nomor 2 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.528 KB) | DOI: 10.21456/vol8iss2pp174-180

Abstract

The Trade Service The Salatiga City Government applies non-cash market retribution (market e-retribution) in improving the quality of services that are transparent and accountable in traditional markets. Given that there has been no research discussing the acceptance of market e-retribution technology, this issue can be an interesting topic to study. Theory of Reasoned Action (TRA) is used as a conceptual model in this study with the aim of investigating the factors that influence the acceptance of market e-retribution technology in traditional market traders in the city of Salatiga. The results of this study indicate that perceptions of usefulness, perception of self-efficacy and subjective norms have a positive effect, but are not statistically significant, while perceptions of compatibility and attitude have a positive and statistically significant effect
Pencarian Informasi Berbasis Ontologi Menggunakan Semantik Indexing Pada Website Jejaring sosial Henry, Christian Lilik; Sediyono, Eko; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 3 (2013): Volume 3 Nomor 3 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol3iss3pp

Abstract

Pada penelitian ini telah dibangun kerangka ontologi  untuk domain travel and tourism menggunakan sumber data dari twitter. Sebuah crawler telah dibangun untuk mengambil data dari twitter. Penelitian ini didasarkan adanya jumlah informasi yang cukup banyak pada twitter namun informasi tersebut cukup singkat sehingga ketika melakukan pencarian informasi, hasilnya kurang relevan. Dengan pembangunan ontologi, tujuan yang ingin dicapai adalah hasil pencarian yang lebih relevan karena knowledge dari informasinya telah diperluas. Terdapat tiga tahap yang dilakukan dalam penelitian ini yaitu pembangunan crawler, pembangunan ontologi dan evaluasi dengan mesin pencari Solr server. Metode yang digunakan dalam pembangunan ontologi adalah kombinasi pendekatan top-down dan bottom-up. Pada tahap evaluasi digunakan perhitungan nilai average precission untuk menghitung tingkat akurasi hasil pencarian. Hasil penelitian ini adalah sebuah aplikasi crawler untuk mengambil data dari twitter, sebuah kerangka ontologi untuk domain travel and tourism, dan didapatkan hasil evaluasi pencarian data. Telah didapatkan nilai mean average precission dari data sederhana hasil crawler sebesar  36,60% dan pada data ontologi sebesar 91,50%. Hasil tersebut menunjukkan bahwa akurasi pada data ontologi lebih baik dari data sederhana hasil crawler. Kerangka ontologi ini dapat dikembangkan untuk cakupan domain yang lebih luas, dan aplikasi crawler juga dapat dikembangkan untuk dapat mengambil sumber data lainnya. Kata kunci : Ontologi, Semantik, Social Media, Pencarian, Indexing
Desain Sistem Keamanan Distribusi Data Dengan Menerapkan XML Encryption Dan XML Signature Berbasis Teknologi Web Service Widodo, Slamet; Eko Sediyono, Eko; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol1iss1pp47-57

Abstract

Development of information technologies is often misused by an organization or a person to take criminal acts, such as the ability to steal and modify information in the data distribution for evil criminal purpose. The Rural Bank of Boyolali is conducting online financial transactions rather intensively, thus it requiring a security system on the distribution of data and credit transactions for their customer among branches offices to head office. The purpose of this study was to build a security system in credit transactions in Rural Bank of Boyolali for their customers among branches offices to head office. One way in protecting data distribution was used XML encryption and XML signature. The application of encryption technique in XML and digital signature in XML by using web service by using the AES (Advanced Encryption Standard) and RSA (Rivest-Shamir-Adleman) algorithms. This study was resulted the SOAP (Simple Object Access Protocol) message security system, with XML and WSDL (Web Services Description Language), over HTTP (Hypertext Transfer Protocol) to protect the customers’ credit transactions from intruders. Analysis of examination indicated that the data size (bytes) transferred as results of uncompressed XML encryption were larger than compressed XML Encryption, which leads to significant changes between the data transferred that was the processing time of the compressed data was faster than uncompressed XML encryption.
Implementasi Metode Association Rule untuk Menganalisis Data Twitter tentang Badan Penyelenggara Jaminan Sosial dengan Algoritma Frequent Pattern-Growth Tamaela, Jemaictry; Sediyono, Eko; Setiawan, Adi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (388.588 KB) | DOI: 10.21456/vol8iss1pp25-33

Abstract

BPJS services cannot be separated from criticism and complaints of the people in Indonesia. Twitter is one of the social media choose to share experiences related to things about BPJS. The information that is shared can be processed to gain new knowledge (knowledge discovery), which is related to public opinion about BPJS. Tweets collected from the national BJPS twitter are divided into words, then, specified words can be used as items to form the itemset. The association rule technique with the FP-Growth algorithm that is implemented in the application can process text data from Twitter to form the item set. Each item set contains a collection of tweets that are responses and the opinion of the community about an event or phenomenon related to BPJS services. The tree structure of FP-Growth simplifies the process of the validation because it can track and display the frequency of occurrence of each word and itemset, before and after branch pruning which is not included in the support value. The OSM API integration with the application in this study provides visual information about where the tweet comes from, so it can be used to generate itemset from a collection of tweets from a particular region.
Co-Authors Ade Iriani Adenia Kusuma Dayanthi Adi Setiawan Adi Setiawan Adian Fatchurrohim Adila Safitri Adiyono, Soni Agus Priyadi Agus Subhan Akbar, Agus Subhan Agustinus Raharjo Ahmad Nuzulia Rahman Ahmad Zamsuri, Ahmad Aldian Umbu Tamu Ama Aldian Umbu Tamu Ama Aldri Frinaldi Alvianto, Muhammad Nur Hendra Anak Agung Gede Sugianthara Andi Kristanto Andika, Awan Pijar Andry Ananda Putra Tanggu Mara Andry Tanggu Mara Angela Atik Setiyanti Anna Simatauw Anthony Anthony Antonius Oko Pranoto Anwar S Ardjo Anwar S. Ardjo Anwar S. Ardjo, Anwar S. April Lia Hananto Ardaneswari, Awanda Ardjo, Anwar S Arief Andriono Arief Andriono, Arief Ariel Kristianto Aries Dwi Indriyanti, Aries Dwi Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Atik Mawarni Aulia Oktaviana Avin Wimar Budyastomo Aviv Yuniar Rahman Awanda Ardaneswari Batawi, Rymond N. Bayu Surarso Brian Laurensz Brilliananta Radix Dewana Budhi Kristianto Cahya Tri Purnami Cahyaningtyas, Christian Catur Edi Widodo Chrisanty Mariana Rorimpandey Christanto, Henoch Juli Christian Lilik HS Nivak Dahur, Arnoldus Janssen Damayanti, Elok Daniel HF Manongga Daniel Riano Kaparang Danny Manongga Danny Sebastian David Setia Darmawan Defitroh Chen Sami'un Devianto, Yudo Dewana, Brilliananta Radix Dharmaputra Palekahelu Dian Puspitadewi Kristyaningtyas Dinda Ayu Aprilia Dio Febrilian Tanjung Doni Wiryadinata Dwi Adityas Rarasati Dwi Mustika Kusumawardani, Dwi Mustika Dwi Setiawan Edna Maria, Edna Edwanda Arisandy Eko Nur Hermansyah Esti Zakia Darojat Evi Maria Faidul Jihad, Fikri Faqih, Haikal Farid Farid Agushybana Feibe Lawalata Ferdian Aditya Pratama Fian Yulio Santoso Fikri Faidul Jihad Fikri Faidul Jihad Firdaus Dwi Prasetyo Firdaus Dwi Prasetyo, Firdaus Dwi Fitra Nur Asri, Muh Florentina Tatrin Kurniati Gatot Sasongko Gilang Muhamad Noer Gregorius Anung Hanindito Gudiato, Candra Haidar Shiddiqramzy Haikal Haikal Haikal Haikal Haikal Nur Rachmanrachim Achaqie Haikal Nur Rachmanrachim Achaqie Hakim, M. Iman Nur Hanif Prasetyo bhakti Adi Nugroho Hany Makaruku, Yulian haryo kusumo Hendry Hertanto Mulianto Hery Santono Hetharie, Renee Yosua Hindriyanto Dwi Purnomo Huda, Baenil Humami, Faris Ilham Akbar Sodik Illyin Almeito Imaniar Sevtiyani Irwan Sembiring Jemaictry Tamaela Johan Jimmy Carter Tambotoh Julce Adiana Sidette, Julce Adiana Jutono Gondohanindijo Juwita Artanti Kusumaningtyas Kartika Imam Santoso Kevin Mikhail Tulenan Kiswanto Kiswanto Kristoko Dwi Hartomo Kristyaningtyas, Dian P. Kuncoro, Wreda Agung Kusumaningtyas, Juwita Artanti Laksamana Rajendra Haidar Latupeirissa, Ariyanto Lawang, Robert M.Z. Leo Candra Gunawan Wicaksono Leonardo Refialy Leonardo Refialy, Leonardo Lili Rusdiana, Lili M., Maria Magdalena Maipauw, Musa Marsel Malioy, Rimes Jopmorestho Manongga, Daniel HF Maria Magdalena Martini Martini Martza Merry Swastikasari MARWATA, MARWATA Matheus Supriyanto Rumetna Mayestika, Anastasia Kezia Beatrix Melissa Modok Merrryana Lestari Merryana Lestari Michael Elyas Ernawan Moh. Hasyimi Muay, Nikson Theys Muhammad Ikhsan Muhammad Nur Hendra Alvianto N.A. Miftahul Huda N.A. Miftahul Huda, N.A. Miftahul Nabiel Putra Adam Nabiel Putra Adam, Nabiel Putra Ni’mah Akbar Habibie Nofiyati Nofiyati, Nofiyati Nurjazuli Nurjazuli Nurjazuli Nuzhah Al Waaidhoh Oky Dwi Nurhayati Onesimus Joumaran Usior P Purwanto P, Sri Yulianto Joko Panja, Eben Paryono, Tukino Penison Wenda Perdana, Adam Bagus Ponco Yuniarto Pranoto, Antonius Oko Pratama, Ferdian Aditya Pratindy, Raka Prisilia Talakua Priyadi Priyadi Pusaka, Semerdanta Putri Gloria Qurotul Aini Rachardian, Seprima Raden Mohamad Herdian Bhakti Rahmat Gernowo Rahmatika, Yuni Ramanda, Febri Renee Yosua Hetharie Reni Murnita Retno Setya Anggraeni Richi Eka Yanti Rohmad Abidin Romadhon, Zainur Romauli Basaria Romy Aziz Risaldi Ronny Julians, Adhe Roy Rudolf Huizen Ryo Pambudi Saian, Septovan Dwi Suputra Santoso, Fian Yulio Santoso, Nuke Puji Lestari Satriyo Satriyo Sausan Hidayah Nova Sekarlangit Sekarlangit Septovan Dwi Suputra Saian Setiawan, Santo Sholikin, Muhammad Siti Shofiah Slamet Widodo Sodik, Ilham Akbar Solly Aryza Sri Achadi Nugraheni Sri Ngudi Wahyuni, Sri Ngudi Sri Yulianto Sri Yulianto Joko P Sri Yulianto Joko Prasetyo Stephen Aprius Sutresno, Stephen Aprius Suci Larasati Suhartono Suhartono Suharyadi Surarso Bayu Susanti, Novita Dewi Swastikasari, Martza Merry Talakua, Prisilia Tamaela, Jemaictry Teguh Wahyono Theo Pradikta Theofani, Gracia Tintien Koerniawati Tirsa Ninia Lina Tjokra, Cindy Vanesya Tri Wahyuningsih Trisna Wonda Trisna Wonda, Trisna Tulenan, Kevin Mikhail Tundjung Mahatma Untung Rahardja Viera Juniver Thenu Vina Chovan Epifania Wardoyono, Hengky Wicaksono, Januar Agung Widi, Anugerah Yakobus Kevin Dean Prasetyo Yayi Suryo Prabandari Yerik Afrianto Singgalen Yessica Nataliani Yonathan Saputra Yulian Hany Makaruku Yuliarman Saragih Zainal Arifin Hasibuan Zati Hulwani Zati, Hulwani Zukhruf, Afriza Meigi