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Journal : emerging information science and technology

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Bandwidth Management using Per Connection Queue and Queue Tree: A Case Study on a High School Network Prasetyo, Eko; Santoso, Tossy; Riyadi, Slamet; ., Asroni
Emerging Information Science and Technology Vol 5, No 1 (2024): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v5i1.22376

Abstract

This research aims to enhance the efficiency of bandwidth utilization at MTs Muhammadiyah Tawangsari using the PCQ and Queue Tree bandwidth management methods on a MikroTik router. Through this approach, an analysis of bandwidth requirements, network topology design, and implementation were conducted. Post-implementation measurement results show a remarkable improvement in average user download speeds: 17.3 Mbps in administration rooms, 10 Mbps in classrooms, and 18.8 Mbps in faculty rooms. These results indicate a significant improvement in tailored bandwidth distribution that meets the specific needs of each network area and ensures that all users receive equal bandwidth usage. This leads to more evenly distributed and efficient network performance.
Analysis and Visualization of High School Student Achievement Data Using Decision Tree and Cross-Validation in Rapidminer Hartanta, Radhitya Yunandri; Asroni, Asroni; Riyadi, Slamet; Jeckson, Jeckson
Emerging Information Science and Technology Vol 4, No 2 (2023): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i2.20731

Abstract

The vision, mission, and work indicators of high school education are all geared toward producing graduates of excellent quality. Students’ academic performance in the first and second grades indicates their eventual excellence as graduates. However, it is not feasible to ensure that students in the third year have good results only by comparing their academic achievements during the first and second grades. School leaders and policymakers can benefit from data analysis and visualization by gaining insight into recurring patterns and emerging trends in their stored data. Leaders and management at schools can benefit significantly from Rapidminer’s decision tree and cross-validation data analysis methods when trying to figure out what to do about students performing well or poorly academically.
Discrete Curvelet Transform Feature Extraction for Mangosteen Fruit Surface Damage Detection Utama, Nafi Ananda; Triyani, Wahyu Indah; Riyadi, Slamet; Damarjati, Cahya
Emerging Information Science and Technology Vol 5, No 1 (2024): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v5i1.22602

Abstract

Mangosteen (Garcinia mangostana L) is one of the commodities of Indonesian fruit and is used as an export primadona that became the basis of Indonesia to increase the currency of the country. The quality of the fruit can be seen from the surface, whether there is damage or not. The sorting that the farmers have been doing all this time is still using the conventional way, that is, with the sense of sight. This conventional method seems to be less effective because it takes a lot of energy, takes a long time, and there are different perceptions between farmers. To solve this problem, a method of surface quality extraction of mango fruit will be developed based on image processing. The initial stage of image processing is with the image size equation then the image is converted to grayscale mode, then a discrete curvelet transformation is performed. The next stage is the extraction of mean, energy, entropy, standard deviation, variance, sum, correlation, contrast, and homogeneity. The result of the subsequent feature extraction is used to enter a value at the classification stage. From some of these extractions it will be known which extraction has the highest accuracy value. The method of classification used is Linear Discriminant Analysis (LDA) with the method of K-Fold Cross Validation which in this study is divided into 4-fold cross validation. After testing on 120 images, the highest value of accuracy is with extraction of standard characteristics deviation of 91.7% and variance of 88.4%.
Analysis of Cross Validation on Classification of Mangosteen Maturity Stages using Support Vector Machine Prabasari, Indira; Zuhri, Afrizal; Riyadi, Slamet; Hariadi, Tony K; Utama, Nafi Ananda
Emerging Information Science and Technology Vol 5, No 1 (2024): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v5i1.22359

Abstract

This study explores the efficacy of the Support Vector Machine (SVM) method in classifying mangosteen fruit images based on six ripeness levels. Employing SVM enables nonlinear data classification and simultaneous utilization of multiple feature extractions, resulting in enhanced accuracy. Analysis reveals that models integrating three feature extractions outperform those with only two. With ample training data and optimized parameters, SVM achieves detection accuracy exceeding 90%. However, algorithmic enhancements are necessary to compute RGB color index values for all pixels on mangosteen skin surfaces, possibly through circular-shaped windows approximating the fruit's contour. Moreover, comparative assessments of RGB color system calculations against alternative systems such as HSI are crucial for selecting the most suitable color model in alignment with human perception.
Development of Desktop-Based Employee Payroll: A Case Study on PT. Bio Pilar Utama Alfia, Bayu Dwiki; Asroni, Asroni; Riyadi, Slamet; Rahaman, Mosiur
Emerging Information Science and Technology Vol 4, No 2 (2023): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i2.20732

Abstract

As a result of periodic shifts, technological advancements are becoming more varied. The payroll system for employees is one of them. Payroll must follow the company’s standard operating procedures (SOP) to determine several issues. Thus, the system can be customized to match the company’s specific needs and SOP. The administration and finance departments encounter difficulty processing employee payroll due to frequent errors in employee data entry, including position, department, income, and deductions. The absence of a payroll information system that can reliably and rapidly calculate employee salaries and provide timely reports has become the primary source of the difficulty. The designed employee payroll information system only processed PT. Bio Pilar Utama’s payroll data. Facilitating the administration and finance departments to input data, calculate salaries, store data, and generate reports on employee payroll could be achieved through the newly developed employee payroll information system.
Classification of Duration in Global Terorism using ResNet Adriansyah, Adinda Nurhayati; Riyadi, Slamet
Emerging Information Science and Technology Vol. 5 No. 2 (2024): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v5i2.24756

Abstract

Terrorism is a global threat that affects the political, economic, and social stability of many countries. The number of victims killed is based on the duration of the terrorism incident. This study uses the Residual Network (ResNet) model to classify terrorism incidents based on the duration of the incident (less than 24 hours and more than 24 hours) using the Global Terrorism Database (GTD) dataset. The GTD data used covers terrorism incidents from 1970 to 2017, with a total of 181,691. After preprocessing the data by converting categorical features to numeric and removing missing values, the data was divided into training, validation, and test sets with a composition of 70%, 15%, and 15%. The results show that the ResNet model is able to achieve a validation accuracy of 99.61% and a validation loss value of 0.0183. These findings show that the ResNet model is effective in classifying the duration of terrorism incidents and has the potential to be used in the development of better terrorism prevention systems.
Classification of Mangosteen Surface Quality Using Principal Component Analysis Riyadi, Slamet; Ayu Ratiwi, Amelia Mutiara; Damarjati, Cahya; Hariadi, Tony K.; Prabasari, Indira; Utama, Nafi Ananda
Emerging Information Science and Technology Vol. 1 No. 1: February 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.115

Abstract

Mangosteen (Garcinia mangostana L) is one of the primary contributor for Indonesia export. For export commodity, the fruit should comply the quality requirement including its surface. Presently, the surface is evaluated by human visual to classify between defect and non- defect surface. This conventional method is less accurate and takes time, especially in high volume harvest. In order to overcome this problem, this research proposed images processing based classification method using principal component analysis (PCA). The method involved pre-processing task, PCA decomposition, and statistical features extraction and classification task using linear discriminant analysis. The method has been tested on 120 images by applying 4-fold cross validation method and achieve classification accuracy of 96.67%, 90.00%, 90.00% and 100.00% for fold-1, fold-2, fold-3 and fold-4, respectively. In conclusion, the proposed method succeeded to classify between defect and non-defect mangosteen surface with 94.16% accuracy.
Implementation of Multiclass Support Vector Machine for Classification of New Students Receiving Achievement Scholarships at Universitas Muhammadiyah Yogyakarta Nurfahmi, Nurfahmi; Riyadi, Slamet; Asroni, Asroni
Emerging Information Science and Technology Vol. 1 No. 3: August 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i3.10627

Abstract

The selection process for scholarship grantees at Universitas Muhammadiyah Yogyakarta (UMY) still utilizes the conventional method, namely Microsoft Excel. It is conducted by inputting all student data, then sorted from the highest to the lowest. Scholarships for prospective new students must be right on the target, meaning that they meet the criteria for students eligible for scholarships. It is intended not to harm other prospective students who should get scholarships. In previous studies, the classification process used many algorithms such as Naive Bayes, C.45, Decision Tree, k-Nearest Neighbor, and Support Vector Machine. The use of the Support Vector Machine algorithm employed a two-class classification. Support Vector Machine and Decision Tree algorithms are two classification methods that can obtain precise and accurate results. This study aims to use the Multiclass Support Vector Machine (LibSVM) algorithm to classify the achievement scholarship rankings for new students. The minimum amount of data used affected the classification results. From the 2015 to 2019 data, the highest amount of data was 2015, obtaining the highest accuracy result of 84.34% using the sigmoid kernel type and the k-fold value of 3. The classification was based on the entry system stages. PMDK stage 2 obtained an accuracy of 81.38%, with the most data amounting to 268 from stage 3.
Applying the Naive Bayes Algorithm to Predict the Student Final Grade Adrian, Ronald; Perdana, Muhammad Aldi Joko Satria; Asroni, Asroni; Riyadi, Slamet
Emerging Information Science and Technology Vol. 1 No. 2: May 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.127

Abstract

The teaching and learning process of the Faculty of Engineering of Universitas Muhammadiyah Yogyakarta has used e-learning intensively. One of the benchmarks in determining students’ final grade is to take the values in e-learning. This study aims to predict students’ final grades by utilizing the data mining process and the Naive Bayes algorithm. This study provides students and lecturers information to enhance the teaching and learning process to improve students’ final grades and maintain satisfactory final grades until the lecture is complete. The research began with the literature study, data collection, data selection, data cleaning, data transformation and implementation with rapidminer and conclusion drawing. Based on the prediction of students’ final grades, one course obtained many unsatisfactory grades with an accuracy rate of 93.75%. Thus, the higher the accuracy value, the closer the predicted final value to the actual value. 
Designing a Payroll System Database for Staff of the Informatics Engineering Department of Universitas Muhammadiyah Yogyakarta Rizky Putri, Nisrina Akbar; Riyadi, Slamet; Kurnianti, Aprilia
Emerging Information Science and Technology Vol. 1 No. 3: August 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i3.13157

Abstract

The development of a staff payroll system aims to create a system that can help an administrator recapitulate attendance and payroll data of Informatics Engineering (IE) Department staff quickly and accurately. Such a development requires a database. The database design is divided into four stages: requirement collection and analysis, conceptual database design, logical database design, and physical database design. Design testing was performed on the database by testing the access policies, anomaly check, and view check. The results reveal that the proposed system worked well did not encounter anomalies.
Co-Authors - Hwihanus ., Asroni Aaron, Giovanni Thorton Abdullah, Dede Agung Abiantoro, Bayu Abidin, Zenal Absor, Sholihul Achmad Ali Mashartanto Adam Maulana aditama, buntar perwira Adnan, Apippudin Adriansyah, Adinda Nurhayati Afifah, Rahmi Afzeri Agung Wahyudi Agung Yulianto AGUS AGUS Agus Kristiyanto ahmad farid Ahmad Muktamar B Ahmad Zakaria Ahsan, Mohammad Ainun Muthoharoh, Ainun Ajatul, Ajatul Akbar, Zaizala Al Bina Al Munip, Al Munip Albab, Eric Ulul Aldi, Mukhamad Fauzan Alfatussabila Ashidiqie Alfia, Bayu Dwiki Ali, Nadiyah Maharty Alim, Akbar Amelia Kusniawati, Amelia Amelia, Azarine Nahdah Amelia, Nurusyifa Amiartuti Kusmaningtyas Aminullah Assagaf Anarkis, Bunga Tirai Andika Sanjaya Andri Iryawan Andriani Andriani Andrias Suhendra Nugraha Anna Maria Tri Anggraini Annisa, Sarah Chairul Ardhi Islamudin ardila, septia Arga Christian Sitohang Ari Mukti Wibowo Aria Mulyapradana, Aria Ariep Jaenul Arif Saefudin Arkam Lahiya Asi, Yuli Sintha Asih, Tiya Putri Asmiatiningsih, Sri Asroni, Asroni Audilla, Cut Maya Putri Ayu Ratiwi, Amelia Mutiara Ayu, Ciptaning Retno Azharuddin Azharuddin, Azharuddin Azis, Achmad Abdul Aziz, M. Bahana Aditya Adnan Bambang Eka Purnama Bandi Bandi, Bandi Baruno, Agustiawan Djoko Bashori Bashori Bayangkara, Ida Bagus Ketut Bayu Budi Prakoso Bima Hardi Bintang, Firdaus Bisri Habibi , Wyeldan Boy, Hendry brahmayanti, Ida Ayu Sri Bramastia, Bramastia BRILLIANTO, RONALDO WISNU Brumadyadisty, Garry Budi Santosa Budi Santosa Budi Setiawan, Florentius Cahya Damarjati Cahya Damarjati Chen, Hsing-Chung Cherryl Martha Christina Anggreani Winoto Dakir Dakir Daniel Happy Putra Daryanto Daryanto Dendy Raharjo Deng, Abraham Ayuen Ngong Deni Kurnia Denny Bernardus Denpharanto Agung Krisprimandoyo Dermawan, M. Faris Dewi Nurhayati Dewi Ratnawati Dewi, Deshinta Arrova Didi Surya Permana, Didi Dina Dwi Nuryani Dinda Khairunnisa, Dinda Djoko Baruno, Agustiawan Djumahir .. Djumilah Hadiwidjojo Doewis, Muchsin Dutahatmaja, Angga Dwi Surya Supriyana Dwijoko Purbohadi Eddy Yunus Ekawati, Febriani Fajar Eko Prasetyo Ellyas, Intan Suraya Ellys Yulianti, Ellys Emmanuel Agung Nugroho Endang Listyaningsih S Endang Listyaningsih Suparyanti Endang Sahir Engkos Koswara Erliyani, Dian Ermayanti, Dian Ernisti, Widya Erny Roesminingsih Ervina Ervina Fadlia, Irma Nur Fadlil, Arif Ahmad Fahmi Faidillah Kurniawan Fatimah, Ai Tusi Fauzan Fauzi, Irfandhani Fayyadh Daffa Febriandi, Erfan Febrianti, Sri Febrianto, Gustaf Naufan Figo Pratama Fiki Ferianto Fikri, Hidayatul Fiorentino, Kevin Firdaus, Hendra FIRMANTO, DANIEL RAHADIAN Fithri Muliawati Fitra Mulia Jaya Fitriandinni, Reza Mutiara Nur Fitrianti, Dwi Fitriyani, Rahma Fitriyani, Rahma Fransiska RZ Frebian, Muhammad Rizki Furqaan Harjanto Gewang, Annissa Achmadsyah Goo, Maria Alni Lau Gumilar, Mira Sri Habil, Muhammad Hafidz Nur Ichwan Hamdani Abdi Hamsinah Hamsinah, Hamsinah Han, Sui Handayani, Widyastuti Hanik Liskustyawati, Hanik Hardianty, Sri Harianja, Nila Wati Crisyanti Hariyadi, Bagus Reza Harnisah, Harnisah Hartadi, Arif Hartanta, Radhitya Yunandri Hartanto, Leandra Hattah, Muh. Afif Novaldy Hatuina, Suci Harira Sari Have Zulkarnaen Hawihanus, Hawihanus Hayuningtyas, Prestanti Heigy Mutiha Putri Hendro Sulistio Heni Pujiastuti Herdiana, Ade Heriyanto Heriyanto Hermono Hery Nariyah Hikmah, Siti Fathonatul Hisyam Zaini Husnibes Muchtar Husnul Khatimah Hutagalung, Uli Anto Ibrahim Ingga Ida Ayu Putu Sri Widnyani Ida Nurhaida Idam Ragil Widianto Atmojo Idham Halid Ika Ratna Indra Astutik Imam Prawiranegara Gani Iman Bhato, Sahrul iman, Khairul Indira Prabasari, Indira Irawan Malik Irawan, Ricki Irfan, Kiki Irhamsyah, Teuku Ishak, Asnor Juraiza Islamy, Shavira Novita Isnaini Rosyida, Isnaini Iwan Aprianto Iwan Kurniawan Izza Fajri Zaidurrahman Jamal Wiwoho Jamaludin . Jamaludin, Mohammad Jayawarsa, A.A. Ketut Jazaul Ikhsan Jeanne Fransisca Jeckson, Jeckson Jennah, Rodhatul Jodhi, Achmad Joko Widiyanto Jose Beno, Jose Judijanto, Loso Jusnita, R. Ayu Erni Kahfiati Kahdar Kaniati Amalia Karang Utama, I Wayan kariadi, mustasyfa thabib Kariadi, Mustasyfa Thabib Karim, Ahmad Karim, Rohana Abdul Kariman, Paskal Khaalishah, Nor Khairul Sadi Kiki Pratiwi Krisyanto, Agus Kuncoro Diharjo Kurnianti, Aprilia Kurnianto, Dian Kurniawati, Dinda Dwi Kusuma, Nur Intan Kusumaningrum, Nazila Laila Quthratun Nada Laisoka, Duvan Samudra Larasati, Devira Lelfita, Lelfita Lelono, Sarjoko Leonardus Heru Pratomo Lidya, Leoni Lilik Wijayanti Liskustyowati, Hanik Lubis, Arbonas Lubis, Laila Tussifah Lubis, Rahmadsyah Lubis, Winda Antika Luchman Hakim Lukman Bachtiar LULUK INDRAWATI M. Said Zainuddin Ma'rufah, Siti Mafrisal, Mafrisal Magitasiwi, Zufi Yustika Mahardika, Naufal Gita MARIA BINTANG Mariyanto, Muhammad Markus Asta Patma Nugraha Mashuri Mashuri Masruroh, Afi Masyhur, Ahmad Musthafa Matahurila, Gilbert Billy Rivaldo Maturbongs, Gibbar Imanuel Ma’rufah, Siti Megat Syahirul Amin Megat Ali Megawati Simanjuntak Meithiana Indrasari, Meithiana Melda Yanti Melda Yanti Memet Sudaryanto Mesyi, Mesyi Miftachurohmah, Nisa MIRNAWATI SUDARWANTO Mite Setiansah Mohammad Jamaludin Muawwanah, Raudatul Muchsin Doewes Mudrik Alaydrus Muh. Darwis Muh. Furqon Hidayatullah Muhamad Ahsanu Muhamad Ali Muhammad Faisal Muhammad Perdana Azhar Muhammad Ridha Muhammad Yasin Muhlisatul Mahmudah, Muhlisatul Mukarto Siswoyo Muklisah, Risda Alvia Mulyadi Mulyadi Mundakir Muntaha, Ilyas Murniati . Musriyadi Nabiu, Musriyadi Mustaqim . Mustholiq Musyarafah, Musyarafah Musyarapah MY. Cendy Nindra Brilliana Nada Ananda Puteri Nana Sutikna Nasruddin Nasruddin Naufal, Nabil Navandi, Dhony Negara, Khesara Sastrin Prasita Nelfi Erlinda Nelfi, Nelfi Nevrettia Christantyawati, Nevrettia Ni Putu Sri Harta Mimba Nicolas, Djone Georges Nisa, Rahma Dian Norafnan, Abdul Novaria, Novi Novi Susanti Novita Br Ginting Novradinata, Ridho Nugrahaning Sani Dewi, Nugrahaning Sani Nugroho, Ario Bagus Nur Sayidah Nuradilah, Nuradilah Nuradilah, Nuradilah Nurfahmi, Nurfahmi Nurhayati, Laela Maya Nurita, Nurita Nurlinda, Mei Nurmawi, Yesi Nursetiawan, . Octavia, Winda Dwi P., Leonardus Heru Pandin, Maria Yovita R Pandin, Maria Yovita R. Paramasari Dirgahayu Paranti, Desmala Patria, Rio Perdana, Muhammad Aldi Joko Satria Pradana, Naufal Ady Pranata, Wibisana Prasetyo, Seto Wahyu Pratama, Raditya Yuniar Alfani Pratama, Robby Prawira, Anggun Wida Priandari, Sri Priyambodo Priyambodo Puji Rahmawati Puputaria, Puputaria Putra, Arifdo Putra, Fandi Pratama Putra, Rakmat Dwi Anugrah Putri Susanti Putri, Adistie Prestiani Putri, Alifia Ramadhina Qomaruzzaman, Qomaruzzaman Qurrata A’yun, Nur Aini R Pandin, Maria Yovita RA Maheswari, Rarah Rahaman, Mosiur Rahayu, Widya Andayani Rahmad Ramadhan Rahmadani, Olivia Rahmah, Sri Rais , Rinovian Raja Amelia Putriana Ramadhani, Muhammad Rizki Ramadhanty, Nadine Ramli, Suzaimah Rammadhany, Rammadhany Respati, Badrahini Masajeng Ridho Al-Hamdi Ridwan, Mohammamad Sihab Ridwansyah, Raden Mohammad Rizky Rif’at, Mohamad Rini, Sanda Puspa Ririt Iriani Sri Setiawati Riyadi Nugroho Rizal Edy Halim Rizalludin, Riqqi Rizka Nabila Munawarah Rizky Amalia Rizky Putri, Nisrina Akbar Rizqy, Muhammad Alva Rokhmat, Nurhayat Ronald Adrian, Ronald Rony Syaifullah, Rony Rosmawati Rosmawati Rosmawati, Nelis Rosyid Ridlo Al-Hakim Rozaanah, Rozaanah Rudianto, Setiawan Eko Rumi Iqbal Doewes, Rumi Iqbal Runtuboy, Nico Sabarini, Sri Santoso Sabir, Arisman Safari, Arief Safran Efendi Pasaribu Salsabila, Hasna Salsabila, Hasna Salsabila, Lathifah Khansa Samsul Huda Sanjaya, Kadek Heri Santosa, Eka Budhi Santoso, Joys Oktavia Santoso, Tossy Sapuadi, Sapuadi Saputri, Lusiana Ning Saragih, Susi Tresya Sari, Ervita Indra Sari, Nurita Sariah Sariah Sarjoko Sarjoko, Sarjoko Sarjon Defit Selvianor Setia Budi, Eka Setiawan, Florentinus Budi Setiawan, Tia SETIYO HARTOTO Setyasih, Nur Setyawan, Florentinus Budi Siminto Siminto Siminto, Siminto Siregar, Pascal Siska, Syafni Yelvi Siswandari Siti Julia Fatmi Siti Khotimah Siti Marwiyah Sitompul, Andrey Heberon Situngkir , Hegi Priel Slamet Widodo SOBIRIN Soebekti, Karlita Solehuddin Solehuddin Sri Haryati SRI UTAMI ADY Sriwardona, Sriwardona Stovia, Anggita Sudarmadi Putra Sudiansyah, Sudiansyah Sufa, Siska Armawati SUGIYANTO Sugiyanto - Sukadi . Sukatno Sukatno, Sukatno Sukesi . Sulaiman Sulaiman Sumardi . Sumarno . Sumaryanto Sumaryanto, Sumaryanto Sumiati Sumiati Sunarsi, Denok Sungkowo, Aming Suparnyo Supriyanto, Adolf Asih Suradi, Muhamad Arief Previasakti Suryana, Alvian Jihad Suryani, Linda Susilaningtyas, Tri Suwardi Suwardi Suyanto Suyanto Suyanto Syamsuri, Heris Sya’Bana, Yukhi Mustaqim Kusuma Tajalli, Muqorob Tampubolon, Liosten R. R. Ully Tantyono, Neru Hatta Teuku Salfiyadi Thoyyibah, Luthfiyatun Titin Wahyuni Tofiq, Tri Agung Tony K Hariadi Tri Rustiadi, Tri Triani Triani Trikolas, Trikolas Triyani Triyani Triyani, Wahyu Indah Ujianto Ulfi Pristiana Umar, Fadillah Umaryoto Urohman, Taufiq Utama, Dimas Duta Putra Utama, Nafi Ananda Utari, Riyadini Utomo, Tri Aprilijanto Vega Candra Dinata Vidyarini, Etika Wahyuni, Belli Waluyo Waluyo Wati, Patnah Wibisana Pranata Wibisono, Arifin Wibowo, Febrian Dimas J. Wibowo, Nanang Roni Widiya, Heni Wiharesi Putri Wijayanti, Wiwiek Wijianto Wijianto Wilujeng, Titin Amrih Wiranata, Arno Wulansari, Dasih Ayu Yannes Martinus Pasaribu Yanti, Dhiny Easter Yanuar Zulardiansyah Arief yoseph Indrayanto Yovita R Pandin, Maria Yuggo Afrianto yulia lanti retno dewi Yulia Sari Yunita, Selviana Yusuf, Sharfiden Hassen Yuyun Ari Wibowo Yuzela, Anita Zaenal Abidin Zaenal Arifin Zafs, Rizqie Anandita Zhafirah, Andhita Zuhri, Afrizal Zulkarnaen A, Faiz Furqon