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Analisis Sentimen Publik terhadap Kebijakan Pemberlakuan Pembatasan Kegiatan Masyarakat skala Mikro Menggunakan Algoritma Support Vector Machine (Studi Kasus: Twitter) Pradhana, Renas Madya; Sunarto, M.J. Dewiyani; Lemantara, Julianto
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 10, No 4 (2021)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

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Abstract

All countries in the world are experiencing difficult times due to the Covid-19 pandemic. Crises are emerging in the health and economic sectors, including Indonesia. The president requested that this crisis be addressed immediately and should be resolved simultaneously. Various efforts have been made by the government such as conducting PPKM Mikro. PPKM Mikro policy raises the pros-cons of society because of its impact on the economy and is ineffective in reducing daily cases of Covid-19. Public responses and opinions are conveyed through various media, more than 63.6% of total social media users in Indonesia have a Twitter account. Based on this background, this study hopes to use data from Twitter to understand the response and perception of Indonesian people to PPKM Mikro policy, from the prediction results, which can be a benchmark or evaluation material for the government. This study conducted a sentiment analysis by dividing people's responses into positive and negative sentiments using the Term Frequency Inverse Document Frequency algorithm for weighting and the Support Vector Machine method for classification. The results of the research that has been done showed the validation results using k-fold cross-validation on the support vector machine has an average cross-validation score of 96.42%. The test results showed an accuracy of 97.13%, precision of 97.58%, and recall of 99.15%. The overall percentage of sentiment analysis is for negative 12.8% and for positive 87.2%.
Application of Jaro-Winkler Algorithm for Talent Search Services at Startup Talentku Using Website-Based Crowdsourcing Concepts Adiarnita, Dini; Wulandari, Sri Hariani Eko; Lemantara, Julianto
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 9, No 2 (2020)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

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Talentku is one of the startups in the field of talent services as a media liaison for students who have talent academic and non-academic talent with seekers. There are currently no application providers of all types of talent services in the education environment, so some talent service seekers have difficulty finding all types of talent. In the talent search process, the data displayed in the system does not match the keywords entered by the user so the user must fill in the talent category and must think of the right keywords so that the data appears according to what is needed. The solution for this problem is the Implementation of Jaro-Winkler's Algorithm Application to Search Talent Services at Startup Talentku Using Website-Based Crowdsourcing Concepts. Jaro-Winkler's algorithm in the search system and the concept of crowdsourcing within the Scrum framework can help talent seekers hire talent services. The results showed that the availability of talent service applications in the educational environment, as a bridge between talent service seekers and talent owners in ordering talent services with the concept of crowdsourcing. Through the application of the Jaro-Winkler Algorithm based on the inputted keywords, can provide information about easily identified talent services. Keywords: Talentku, Talent Service, Talent, Jaro-Winkler Algorithm, Crowdsourcing, Scrum
Rancang Bangun Sistem Klasifikasi Kategori Buku dengan Algoritma Naïve Bayes Classifier (Studi Kasus : Perpustakaan Universitas Dinamika) Casmina, Casmina; Nurcahyawati, Vivine; Lemantara, Julianto
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 10, No 1 (2021)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

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Dinamika University library has an online catalog to search for books. to determine the category / class referring to the ddc23 book takes approximately 3 to 10 minutes. the problem that exists is that the library manager has difficulty determining the appropriate category because the determination of the category is not fast enough. the purpose of this research is to produce a book category classification system with the naïve bayes classifier algorithm (case study: undika library) to determine classification quickly and improve the suitability of book categories. naïve bayes classifier is a method used for classification in which the process is divided into two stages, namely the learning stage and the testing phase. classification uses class 000 of ddc23, where the data is divided into 311 training data and 78 testing data and the results of the accuracy test are 73% which shows the naïve bayes classifier algorithm can be used as an algorithm for classifying book categories because of its high accuracy. the level of testing accuracy is influenced by the large amount of training data and the category dictionary used. Classification of categories is done in a faster time with the system only takes 24 seconds 39 milliseconds.
Sistem Informasi Penilaian Kinerja Perawat pada Rumah Sakit Husada Utama Surabaya rohim, mohammad syahadatul; Sulistiowati, Sulistiowati; Lemantara, Julianto
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 9, No 4 (2020)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

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The nurse performance appraisal process begins with the HR unit sending an internal memo notifying the nurse performance appraisal to each unit (1 day). The head of the unit who has received an internal memo then evaluates the nurse's performance by filling in the assessment form (20 days). After completing the assessment, the head of the unit submits the assessment form to the HR unit, then the HR unit will do the calculation and report making (3 days). The problem at the moment is first, the collection of the assessment form is late because the Head of the Unit has a need outside the hospital or is receiving training, consequently causing a delay in calculation time, and the impact of the HR Unit being late in making a report. Second, calculations that require 3 days or more can be due to the large number of forms that have to be processed, calculation errors often occur, as a result it affects the incorrect assessment results, and accurate, the impact can slow down the preparation of reports. Third, the search file evaluation of nurses takes a long time because it takes from the storage shelves one by one, as a result the HR Unit requires a long time in looking for the value of the nurse, the impact of inefficient time in searching the file to see the performance of nurses perperiod. The results of trials that have been carried out show that this application can complete the process of collecting late assessment forms, calculations that require 3 days or even more, and searching for nurse assessment files requires a long time. The HR unit is assisted in the monitoring process by displaying nurse assessment information in the form of periodic charts.
Rancang Bangun Aplikasi Uji Kompetensi Perawat Pada Rumah Sakit Husada Utama Surabaya putra, dicky eka; Sulistiowati, Sulistiowati; Lemantara, Julianto Lemantara
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 9, No 1 (2020)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

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Rumah Sakit Husada Utama (RSHU) Surabaya dalam menciptakan perawat yang professional, maka setiap perawat RSHU Surabaya harus mempunyai sertifikat terhadap setiap tindakan keperawatan. Dalam proses sertifikasi pada RSHU Surabaya dimulai dari perawat mengajukan kompetensi yang akan diujikan. Setelah itu perawat melaksanakan uji kompetensi sesuai dengan skema yang sudah ditentukan Standar Kompetensi Kerja Nasional Indonesia (SKKNI) perawat. Kemudian asesor akan melakukan penilaian dan menetapkan hasil kelulusan kompetensi. Pada uji kompetensi RSHU Surabaya semua proses mulai dari pengolahan data, pendaftaran, skema kompetensi, perencanaan, sampai penetapan hasil semua masih dilakukan secara konvensional. Akibatnya dapat menurunkan produktifitas RSHU Surabaya pada proses uji kompetensi karena membutuhkan waktu yang ralatif lama serta tidak terujinya semua elemen atau Kriteria Unjuk Kerja (KUK) yang seharusnya ada pada tiap unit kompetensi karena pada saat skema kompetensi tidak sesuai dengan SKKNI dimana hal ini nantinya akan berpengaruh terhadap kualitas kompetensi perawat. Berdasarkan permasalahan tersebut, maka solusi yang ditawarkan adalah membuat aplikasi uji kompetensi yang dapat melakukan skema kompetensi sesuai dengan SKKNI dan mengkomputerisasi semua proses uji kompetensi. Hasil dari aplikasi uji kompetensi perawat menunjukkan bahwa aplikasi yang dibangun dapat melakukan skema kompetensi sesuai dengan SSKNI dan dapat mengkomputerisasi proses uji kompetensi.Kata Kunci : Aplikasi, Uji Kompetensi, Standar Kerja Nasional Indonesia
RANCANG BANGUN APLIKASI REKAM MEDIS PASIEN RAWAT JALAN BERBASIS WEB PADA POLIKLINIK POLRESTABES SURABAYA Purnama, Yessa Satria; lemantara, julianto; rahmawati, endra
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 9, No 3 (2020)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

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Poliklinik Polrestabes Surabaya merupakan sebuah perusahaan yang bergerak pada bidang jasa layanan kesehatan dan terletak di Jalan Rajawali Nomor 43 di Kota Surabaya. Seluruh proses rekam medis yang dilakukan poliklinik ini masih belum terkomputerisasi. Sistem yang belum terkomputerisasi ini menimbulkan beberapa masalah. Pertama terjadi kehilangan berkas rekam medis, antrian pasien yang panjang karena petugas harus mencari rekam medis di ruang penyimpanan dan penyimpanan rekam medis yang menumpuk.Untuk mengatasi permasalahan yang telah disebutkan, pada penelitian ini akan dibuat sebuah sistem berbasis web, dimana proses pendaftaran pasien dan proses rekam medis pasien dilakukan terkomputerisasi. Semua data pasien dan data rekam medis pasien tersimpan di dalam basis data pada komputer. Bedasarkan solusi yang di atas, penelitian ini yang dapat menghasilkan suatu aplikasi rekam medis pasien rawat jalan berbasis web pada Poliklinik Polrestabes Surabaya. Dengan ditrapkannya suatu aplikasi tersebut diharapkan dapat mengurangi penggunaan kertas dalam melakukan pencatatan rekam medis serta dapat mengurangi antrian pasien yang panjang. 
Implementation Of The Simple Additive Weighting And RIASEC Method In The Design Of The Best UKM Selection Application (Case Study: Dinamika University) Parastowo, Irvan Alfaridzi Dwi; Hariadi, Bambang; Lemantara, Julianto
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 9, No 4 (2020)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

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Students competing in the world of work need soft skills. Soft skills can be improved through an organizational process. Dinamika University has a Culture and Character Building (Cutting) program to help students improve their soft skills. The program is widely available for thousands of students and is organized by UKM. Even though it has many programs, there are obstacles to be faced. Based on the survey results, 25 students didn’t participate in UKM and 32 students made the wrong choice of UKM. This is because students don’t know what their talent interests are. In knowing someone's talent interest there is a model called RIASEC. Then in determining the best alternative, there is an appropriate method to use, namely Simple Additive Weighting (SAW). Based on the description, an application of the RIASEC and SAW methods is needed in the design of the best UKM field selection application. The results showed that the RIASEC and SAW methods were successfully applied to the best UKM field selection applications. A total of 97.3% of students recognized their talents from the RIASEC test results and 94.6% of students agreed that the UKMKU application was able to provide recommendations for the best selection of UKM.
Rancang Bangun Aplikasi Pengendalian Persediaan Bahan Baku Berbasis Website Menggunakan Metode Safety Stock dengan Perhitungan Service Level pada CV Dwi Teknik Sayang, Ega Syahputra; Setyawan, Henry Bambang; Lemantara, Julianto
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 11, No 1 (2022)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

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CV Dwi Teknik is a spring manufacturer company located on jl. Balong Dinding Gg 3, Menganti, Gresik. The problem in this company is that the recording transaction of stock materials still uses notes to record transactions. This can pose a risk of delays in reporting or recording stock transaction of materials due to the absence of real time recording of transaction of stock materials. There is no safety stock in this company where safety stock is needed so that there is a stock of materials available when there is high demand. Based on these problems, the solution is by making a application that can record transaction of stock materials and safety stock calculator using service level calculation. Based on the test results and evaluation, it can be concluded that this application can record a transaction of stock materials, perform safety stock using service level calculations, a notification that displays materials that have reached safety stock, create a reports of transaction of stock materials or reports of safety stock.
Sentiment Analysis Of Hotel Customer Reviews Using K-Nearest Neighbor (K-NN) Method (Case Study: Hotels.com, Booking.com, Agoda.com) Safitri, Rahma Nimas; Nurcahyawati, Vivine; Lemantara, Julianto
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 9, No 1 (2020)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

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Abstract

With the increasing number of gadgets and other online media, it is possible for consumers to provide reviews of services in the form of comments and opinions. In Appgrooves only assess by rating, but sometimes the rating is not enough to show consumers' responses to the services they get. From these problems, sentiment analysis is needed to classify user reviews based on positive and negative sentiments. In this study using the K-Nearest Neighbor method to classify negative and positive reviews. The reason for using the K-Nearest Neighbor algorithm is because the level of accuracy is good and effective when used on training data which is large and contains information that is less or not meaningful (noisy). Based on the validity test using 10-Fold Cross Validation, the accuracy for Hotels.com is 94.55%, for Booking.com is 87.58%, and for Agoda.com is 98.83%.
Designing Library Applications with the Application of the Web-Based Dewey Decimal Classification Method (Case Study at SMA GIKI 2 Surabaya) Putra, Sabdo Wicaksono; Sulistiowati, Sulistiowati; Lemantara, Julianto
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 10, No 1 (2021)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

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SMA GIKI 2 Surabaya is a senior high school education institution that located at JL. Raya Gubeng No. 45 Surabaya. SMA GIKI 2 Surabaya has facilities to support students' activities in learning. One of them is the Library facility which has 5000 book collections and is categorized into shelves. Currently the library facilities owned by SMA GIKI 2 Surabaya some of its activities are still carried out manually such as the process of finding books by students must search the bookshelves  that  takes time besides the library officers in recording loans, returns, book collection, book classification and report making is still carried out in a conventional way because there is no development automation system in library.Based on these problems, it is good to use information technology that is computerized in the library of SMA GIKI 2 Surabaya. The construction of library application aims to facilitate the needs of students and librarians in searching catalogs in libraries to the maximum, reduce errors, and present data accurately.book classification and report making is still carried out in a conventional way because there is no development automation system in library.
Co-Authors A. B. Tjandrarini A.B. Tjandrarini Adelina Martfriena Adhim Jati Kusuma Adiarnita, Dini Aditya Darmawan Adjie Pramana Putra Afwan, Moh Agatra, Chandra Agatra, Chandra Agus Dwi Churniawan Ahmad Febri Aji, Marcus Nurtiantara Al Arif Rahmadika Putra Wicaksono Aldi Prasetio Alfian Angga Pradika Alhidayah Jamalludin Alim Rahmat Rido Alrafif Naufal Ghani Arifin Alyanto, Reissa Elvira Amalia, Rosi Nanda Amalia, Rosi Nanda Amelia Tan Amirulloh, Nur Amirulloh, Nur Anak Agung Gede Sugianthara Andari, Yuli Setiyo Suryo Andari, Yuli Setiyo Suryo Andi Rahmatullah Tohir Andi Rahmatulloh Tohir Andrean Ricky Setyaji Andri Pratama Putra Angen Yudho Kisoworo Angga Yudha Pradhana Anggara, Yusuf Bagus Anjik Sukmaaji Annisa, Cyntia Al Archam Ali Bachtiar ARIF KUSDIANTORO Arif Rahman Arifin Puji Widodo Arifin Puji Widodo Arifin, Ahmad Soleh Arifin, Alrafif Naufal Ghani Arifin, Bachtiar Ariyanti, Fitri Dwi Ariyanti, Fitri Dwi Arsyanti, Lidya Ananda Ayouvi Poerna Wardhanie Ayuningtyas Ayuningtyas Bachtiar, Archam Ali Bachtiar, Archam Ali Bagus, Andrew Bambang Hariadi Bambang Hariadi Bambang Trimaryanto Barbara, Ganimeda Agatha Barbara, Ganimeda Agatha Binar Kurnia Prahani Binawati, Lilis Budi Jatmiko Budi Jatmiko Budistria, Pungki Yoga Cahyadi, Jeffry Cahyo, Fachreza Ilham Dwi Caraka prasetya utama Casmina, Casmina Chandra Agatra Christavian, Yosua Christavian, Yosua Chusnina, Ulinnuha Jaza Cyntia Al Annisa Darmanto, I Made Budi Darmanto, I Made Budi Darmawan, Aditya Deo Marvin Yahya Deviera, Mawarizka Diaz, Dody Cipta Pratama Diaz, Dody Cipta Pratama Dody Cipta Pratama Diaz DWI CAHYONO Dwi Prasetyo Pambudi Edo Yonatan Koentjoro Effendi, Pradita Maulidya Eka Yuliana Eric Wijaya Erista Pramana Erkrista, Vadil Safrilian Erwin Saputra Erwin Soetomo Erwin Sutomo Fahmi, Ikmal Fahmi, Ikmal Faudi, Bayu Rachmanda Febrian Nanda Pratama Fitriyah, Luluk Fitriyah, Luluk Frastyawan, Nyoman Frastyawan, Nyoman Gadi, Muhammad Axelle Mahrus Ganimeda Agatha Barbara Guntoro, Radix Ardi Guntoro, Radix Ardi Hadi, Arysatya Handoko Handoko Handoko Handoko Hantoro, Yomanda Maulana Hantoro, Yomanda Maulana Hardman Budiardjo, Hardman Harliansyah, Novand Dwiki Harliansyah, Novand Dwiki Haryanto Tanuwijaya Henry Bambang Henry Bambang Henry Bambang Setyawan Henry Bambang Setyawan Hermawan, Thony Hermawati Tika Ayu Herwanda Ayu Destania Herwanda Ayu Destania Hikam, Dicky Sirojul I Gusti Ngurah Gandhi Prabawa I Made Budi Darmanto Ignatius Rahardhi Ikmal Fahmi Indrawati, Yuni Indrawati, Yuni Irawan, Andrian Chandra Irawan, Andrian Chandra Ismail Ismail Isnainul Amanda Perwirasari Jamalludin, Alhidayah Januar Wibowo Juli Tridantono Juniarti, Ni Nyoman Swastika Juniarti, Ni Nyoman Swastika Jusak Jusak Jusak Jusak Jusak Jusak Karisma Dwi Fernanda Ketut Tirtayasa Khurrosidin, Mifta Khusaini, Muhammad Fadhil Kiding, Patrick Kurniawan, Ramdhani KUSDIANTORO, ARIF Kusuma, Novianto Indra Lago, Oktavia Deyo Laras Tilottama Widya Lauw Wulandari Lay Naniek Lay, Filmon Andrean Lianata, Dave Lidya Ike Patricia Luky Rahman Luluk Fitriyah M. J. Dewiyani Sunarto M.J. Dewiyani Sunarto M.J. Dewiyani Sunarto Marco Teguh Permana Marcus Nurtiantara Aji Marselia, Selly Martfriena, Adelina Martfriena, Adelina Mawarizka Deviera Megawati Andi Safitri Merry C. S. Adistya Mindrawan, Tantri Mindrawan, Tantri Mirajtannia Perwita Sari Mochammad Aprilandi Nanu Dwi Firmansyah Moh Afwan Muchamad Alip Romdhoni Mudianto, Nurmalis Mudianto, Nurmalis Muhammad Denovasto Mochtar Muhammad Ilyas Zainul Ar Rafii Muhammad Wahyudi Muhammad, Irfan Zuhdi Nanda Surya Setiawan Naniek, Lay Ni Nyoman Swastika Juniarti Ningsih, Norma Noor Akhmad Setiawan Novand Dwiki Harliansyah Novianto Indra Kusuma Novrianto, Yason Nugraha, Driantama Edya Nugraha, Driantama Edya Nur Amirulloh Nurmalis Mudianto Nursusanto, Edy Nyoman Frastyawan Pambudi, Dwi Prasetyo Pambudi, Dwi Prasetyo panji pratama Parastowo, Irvan Alfaridzi Dwi Patricia, Lidya Ike Patricia, Lidya Ike Perdana, Amryzal Perdana, Amryzal Permana, Marco Teguh Permana, Marco Teguh Perwirasari, Isnainul Amanda Perwirasari, Isnainul Amanda Prabawa, I Gusti Ngurah Gandhi Prabowo, Yoedo Prabowo, Yoedo Pradhana, Angga Yudha Pradhana, Angga Yudha Pradhana, Renas Madya Pradita Maulidya Effendi Prasetio, Aldi Primadiyanto, Ardityo Hari Pungki Yoga Budistria Purnama, Yessa Satria Puspasari, Lilia Puteri, Qonitah Alia Putra, Andri Pratama Putra, Andri Pratama putra, dicky eka Putra, I Gusti Ngurah Alit Widana Putra, Sabdo Wicaksono Putra, Wahyu Dwi Putra, Wahyu Dwi putra, Yolandra Bagus Andalan putra, Yolandra Bagus Andalan Qonitah Alia Puteri Qoumuddin, Agil Rijal Qoumuddin, Agil Rijal Radix Ardi Guntoro Rafsanjani, M. Ghozali Rahardhi, Ignatius Raharjo, Anggi Prasetyo Wahyu Raharjo, Anggi Prasetyo Wahyu Rahmadi, Dimas Agung Rahmadi, Dimas Agung Rahman Fadillah Sugandhi Rahman, Luky Rahman, Luky Rahmawati, Endra Ramadhan, Aditya Refi Zulkarami Reva Eka Prasetyo Rido, Alim Rahmat Rido, Alim Rahmat Rizal Prabaswara Rizkiyanto, Ainur Kholis Rizkiyanto, Ainur Kholis Rochmat Rizky Alfandy rohim, mohammad syahadatul Romdhoni, Muchamad Alip Romdhoni, Muchamad Alip Rosi Nanda Amalia Ryan Ivanaldo Wirasandi Safitri, Rahma Nimas Salay, Yudiyanto Salay, Yudiyanto Sanjaya, Shigit Hussein Sanjaya, Shigit Hussein Santoso, R.P Mohammad Bagus Saputra, Rizki Aditya Saputra, Taufan Oki Saputra, Taufan Oki Sari, Nita Maya Sari, Nita Maya Sasmita, Whika Yudha Sasmita, Whika Yudha Sayang, Ega Syahputra Setiawan, Permadi Setiawan, Permadi Setyahadi, Muhammad Fakhrizal Setyaji, Andrean Ricky Setyowati, Della Witdiya Shigit Hussein Sanjaya Siswo Martono, Siswo Solly Aryza Subagyo, Renaldy Rizky Sugiarto, Indra Sugiarto, Indra Suharto, Octavianus Sulis Janu Hartati Sulis Janu Hartati Sulis tiowati Sulistio wati SULISTIOWATI Sulistiowati . Sulistiowati Sulistiowati Sulistiowati Sulistiowati Sulistiowati Sulistiowati Sulistiowati Sulistiowati Sulistiowati, Dosen Pembimbing 1 Sulistiowati, Sulistiowati Sulistiowati, Sulistiowati Sulistiowati, Sulistiowati Sulistiowati, Sulistiowati Sulistiowati, Sulistiowati Sulistiowati, Sulistiowati Sulistiowati, Sulistiowati Sulistyowati Sulistyowati Sulitiowati Sulitiowati Sulitiowati, Sulitiowati Suprianta, I Ketut Adi Susanto, Tri Rudy Syahputra, Noval Azmi Tan Amelia Tan Amelia Tan Amelia Tantri Mindrawan Tantri Windarti taufiqurrahman, naufal as'ad taufiqurrahman, naufal as'ad Teguh Sutanto teja, arya teja, arya Thony Hermawan Tiowati, Sulis tiowati, Sulis Titik Lusiani Tommy Sanada Tony Soebijono Tony Soebijono Tri Puspa Rinjeni Tri Sagirani Triamukti, M. Adam Triamukti, M. Adam Tridantono, Juli Tridantono, Juli Trimaryanto, Bambang Trimaryanto, Bambang Tutut Wurijanto utama, Caraka prasetya utama, Caraka prasetya Utama, Widya Satria Valentinus Roby Hananto Vivine Nurcahyawati Wahyu Dwi Putra Wahyutri, yuyun Eka Wahyutri, yuyun Eka wati, Sulistio Wati, Sulistio Wicaksono, Al Arif Rahmadika Putra Wicaksono, Al Arif Rahmadika Putra Wicaksono, Andhika Maheva Widya Satria Utama Widya, Laras Tilottama Widya, Laras Tilottama Wildan Wildan Wulandari, Sri Hariani Eko Wulandari, Sri Hariyani Eko Yason Novrianto Yoedo Prabowo Yohan Kurnia Putra Tjumoko Yohanes Krisantoro Adjie Yudiyanto Salay Yundari, Yundari Yuni Indrawati Yurike Magdhalena Yusuf Bagus Anggara yuyun Eka Wahyutri Zulkarami, Refi