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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknoin JURNAL SISTEM INFORMASI BISNIS Jurnal Buana Informatika Bulletin of Electrical Engineering and Informatics Journal of Education and Learning (EduLearn) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Algoritma Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Journal of Information Systems Engineering and Business Intelligence Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi Journal of Applied Geospatial Information JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) GUIDENA: Jurnal Ilmu Pendidikan, Psikologi, Bimbingan dan Konseling Indonesian Journal of Computing and Modeling JURIKOM (Jurnal Riset Komputer) Jurnal Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Abdi Insani Abdimasku : Jurnal Pengabdian Masyarakat Aiti: Jurnal Teknologi Informasi Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences JOINTER : Journal of Informatics Engineering IJECS: Indonesian Journal of Empowerment and Community Services International Journal of Engineering, Science and Information Technology International Journal of Community Service Jurnal Impresi Indonesia Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Algoritma Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Jurnal Rekayasa elektrika Jurnal INFOTEL Scientific Journal of Informatics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Kristoko Dwi Hartomo
Universitas Kristen Satya Wacana
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SOP of Information System Security on Koperasi Simpan Pinjam Using ISO/IEC 27002:2013 Andriana, Myra; Sembiring, Irwan; Hartomo, Kristoko Dwi
Jurnal Transformatika Vol. 18 No. 1 (2020): July 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i1.2020

Abstract

Information security problems always increase every year. One way to minimize problems related to information system security is to establish an SOP. This study was conducted in koperasi simpan pinjam for several reasons that there has never been an assessment related to the level of security of the information system used, there are threatshave occured, and there do not have documented information system security procedures. The SOPs compiled in this study are based on the ISO/IEC 27002:2013 framework. The method used is qualitative with the OCTAVE framework to process the information obtained. Meanwhile, to calculate the value of each risk, FMEA is used. This study shows that 22% of the risks invloved in koperasi simpan pinjam have low categories, 59% medium categories and 19% high categories. The final result of the stiff research is the proposed 8 policies and 12 information system security procedures for koperasi simpan pinjam.
Evaluasi Kualitas Website Menggunakan Webqual 4.0 (Studi Kasus: Sistem Informasi Kebencanaan Kabupaten Boyolali) Ramadhan, Muhammad Rizky; Hartomo, Kristoko Dwi
Jurnal Transformatika Vol. 19 No. 2 (2022): January 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i2.4195

Abstract

This study aimed to measure the quality of the Disaster Mitigation Information System (Sikabi) belonging to the Regional Disaster Management Authority of Boyolali Regency. Quality tests are carried out to determine the quality and functionality of the system that functions optimally and can display accurate, easily accessible, and useful information for disaster mitigation in the region. The results of the study are useful for providing feedback to information system developers regarding the quality of the website usability aspect, the quality of the information presented, and the quality of the interactions provided as well as the user satisfaction at accessing the Disaster Information System website. This study uses the Webqual 4.0 method which has 4 assessment variables, namely in terms of usability (information quality), interaction service (interaction quality), and user satisfaction while accessing the website (overall impression). From the research results, the information quality variable has a sig value. 0,000 <0,05 which indicates that there is an influence of information quality on user satisfaction in using the Sikabi website. Therefore, we recommend improving the quality of the information displayed on the Sikabi website page.
ANALISIS KUALITAS SISTEM RISET SATYA WACANA (RISAT) UKSW MENGGUNAKAN MODEL ISO/IEC 25010 : QUALITY IN USE (EFFECTIVENESS & EFFICIENCY) Radjawane, Samy; Hartomo, Kristoko Dwi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.6342

Abstract

Bidang penelitian di universitas sangat berperan penting dalam memegang peran penting melalui ilmu pengetahuan dan teknologi. Perkembangan era digital membuat penggunaan sistem informasi penelitian menjadi sangat penting untuk meningkatkan efektivitas dan efisiensi dalam proses penelitian. Pada penelitian ini akan dilakukan penilaian kualitas Sistem Riset Satya Wacana (RISAT) sebagai salah satu sistem Pengajuan penelitian dan insentif luaran di Universitas Kristen Satya Wacana menggunakan model ISO/IEC 25010 dengan domain Quality in Use yang mencakup Effectiveness dan Efficiency. Analisis dilakukan dengan pengumpulan data melalui survei pengguna serta diolah menggunakan SPSS. Hasil penelitian menunjukkan pada aspek Effectiveness berada pada presentase 91% yang menunjukkan bahwa user merasa Sangat Setuju bahwa RISAT sangat mudah dan efektif, serta aspek Efficiency mendapatkan presentase 83% dan menunjukkan bahwa user merasa Sangat Setuju dalam menggunakan RISAT karena sangat efisien. Untuk meningkatkan lagi sistem agar lebih optimal maka rekomendasi perbaikan disusun berdasarkan temuan ini untuk meningkatkan kualitas sistem RISAT secara keseluruhan.
Analysis of the USM Lecturer PPKM application portal using COBIT 2019 Framework nuranto, bogo; Hartomo, Kristoko Dwi; wahyono, Teguh
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 2 (2024): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i2.2108

Abstract

The USM lecturer PPKM application portal information system provides services and information regarding the research and community service activities of USM lecturers. The services available in this application include PPKM proposals, PPKM assessments, PPKM evaluations, progress reports, contracts, assignment letters and presentation schedules. To improve the system services that have been used so far, analysis and evaluation are needed so that system performance can provide accurate information and according to needs. The purpose of this research is to analyze the performance of applications using the COBIT 2019 framework. The method used is a mix method, which combines data from interviews and observations and data from questionnaires. The research subjects consisted of 7 (seven) IT admins and 30 USM permanent lecturers. The COBIT 2019 framework used as the basis for analysis consists of 11 factors, namely:  Enterprise strategy; Enterprise goals; Risk Profile; IT Related Issue; IT Threat Landscape; Compliance Requirement; Role Of IT; IT Sourcing Model; IT Implementation Method; Technology Adaptation Strategy; and Enterprise Strategy. The results showed that there are 2 (two) objectives that need to go to the core model evaluation stage, namely BAI03 and BAI07. The results of the maturity analysis on BAI03 are at level 2, which is 67.1%. While the results of the maturity analysis on BAI07 show results of 72.7%.
Prediksi Stok dan Pengaturan Tata Letak Barang Menggunakan Kombinasi Algoritma Triple Exponential Smoothing dan FP-Growth Hartomo, Kristoko Dwi; Prasetyo, Sri Yulianto; Suharjo, Rahmat Abadi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 5: Oktober 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020751863

Abstract

Persaingan bisnis semakin meningkat khususnya dalam bidang retail. Hal ini mengharuskan pemilik melakukan inovasi terhadap bisnisnya. Salah satu hal yang perlu diperhatikan oleh pemilik untuk mempertahankan dan menambah konsumen yaitu dengan melakukan pendekatan dengan konsumen. Pendekatan pada konsumen digunakan untuk mengenali dan memahami perilaku, kebutuhan dan keinginan konsumen. Pemilik swalayan ingin melakukan inovasi untuk melakukan perbaikan tata letak barang dan perbaikan stok, karena konsumen seringkali mengalami kesulitan dalam pencarian barang dan pihak swalayan sering mengalami kekurangan dan kelebihan stok barang. Berdasarkan permasalahan tersebut, maka tujuan penelitian adalah untuk mengoptimalkan pengaturan tata letak barang dan optimalisasi persediaan stok barang. Dalam penelitian ini menggunakan data penjualan yang diolah sehingga menghasilkan informasi untuk pemilik swalayan. Pengolahan data dalam penelitian ini disebut data mining dengan menggunakan algoritma FP-Growth dan Triple Exponential Smoothing. Algoritma FP-Growth digunakan untuk mengetahui pola perilaku konsumen sehingga dapat digunakan untuk pengambilan keputusan dalam penyusunan barang dan algoritma Triple Exponential Smoothing yang merupakan algoritma prediksi digunakan untuk pengaturan stock barang. Dalam penelitian ini dengan menggunakan algoritma FP-Growth menemukan 12 aturan asosiasi, aturan asosiasi yang memiliki nilai lift ratio paling tinggi adalah Teh dan gula dengan nilai lift ratio 6.131 dan dengan algoritma Triple Exponential Smoothing diperoleh hasil prediksi pada bulan Januari 2018 adalah 131,141 Kg dengan tingkat akurasi MAPE 88,3 %. AbstractBusiness competition is increasing especially in the retail sector. This requires the owner to innovate his business. The shop owner wants to make an invasion to repair goods and equipment, because consumers are in dire need of things and supermarkets often occur. One of the things that need to be considered by the owner to maintain and add consumers is by approaching consumers. Use of information to recognize and understand consumer needs and desires. By overcoming it, the purpose of the research is to regulate the procedures for goods and optimize the preparation of stock items. In this study using processed sales data. Information on information for shop owners. Data processing in this research is called data mining using FP-Growth and Triple Exponential Smoothing algorithms. FP-Growth algorithm to find out user behavior patterns can be used to develop Triple Exponential Smoothing decisions and algorithms which are forecasting algorithms for inventory items. In this study using the algorithm FP-Growth found 12 association rules, which have the highest lift ratio is Tea and sugar with a lift ratio of 6.131 and with Triple Exponential Smoothing algorithm, the forecasting result in January 2018 is 131.141 Kg with 88,3 % MAPE accuracy.
Implementasi Algoritma TOPSIS dan Metode EUCS untuk Pengujian Sistem Penilaian Kinerja Pegawai pada Laboran Fakultas Teknologi Informasi UKSW Salatiga Saputro, Andreas Arga Rinjani; Hartomo, Kristoko Dwi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 6: Desember 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020722353

Abstract

Pegawai laboratorium merupakan tenaga kerja kependidikan yang membantu proses pembelajaran mahasiswa dalam bagian vokasi dan akademik. Dalam menjalankan pekerjaannya, pegawai laboratorium terkadang masih belum maksimal. Sehingga kepala sarana & prasarana dan supervisor harus mengontrol pegawai untuk memastikan pegawai berkerja dengan baik. Untuk mengatasi permasalahan dalam pegawai laboratorium serta membantu dalam memanajemen kinerja, dibuatlah sistem informasi berbasis website yang berisi implementasi algoritma TOPSIS pada penilaian kinerja pegawai laboratorium. Terdapat enam kriteria penilaian pegawai laboratorium yang terdiri dari kedisiplinan, tanggung jawab, kerja tim, skill, akademik, dan komunikasi. Hasil akhir penelitian berupa nilai preferensi (Vi) setiap alternatif, dimana terdapat nilai preferensi tertinggi yaitu 1 yang diperoleh 3 dari 12 orang pegawai pada pengujian algoritma TOPSIS. Penyajian sistem informasi dilakukan dengan database yang ditampilkan menggunakan desain dashboard yang tepat digunakan untuk manajemen data. Pengujian EUCS pada website sistem informasi adalah 3.41 dari total nilai kepuasan (4) yang tergolong dalam kategori puas, sehingga dianggap layak dan diterima oleh user.   AbstractLaboratory employee is a education labor which help process learning college student within part of vocational and academic. In carrying out his work, laboratory employee sometimes it's still not optimal. So that the head of facilities & infrastructure and supervisor must control the employee to make sure employees are working well. For counter the problem in laboratory employee and help in performance management, made information system based on website which contain implementation of the TOPSIS algorithm on performance rating of the laboratory employee. There are six laboratory employee rating criteria which consisting of dicipline, responsible, team work, skill, academic, and communication. Last result of the research is the form of preference values (Vi) every alternatif, where there is highest preference value is 1 which is obtained 3 out of 12 employee of the TOPSIS algorithm testing. Presentment of the information system perform with database and displayed using dashboard design which exact used for present data management. EUCS testing on information system website is 3.41 from total satisfaction value (4) which classified of satisfied categori, so that good considered and accepting by user.
Analisis Klasifikasi Sentimen Ulasan pada E-Commerce Shopee Berbasis Word Cloud dengan Metode Naive Bayes dan K-Nearest Neighbor Limbong, Josua Josen Alexander; Sembiring, Irwan; hartomo, kristoko dwi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 2: April 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022924960

Abstract

Saat ini internet memungkinkan pengguna untuk membuat ulasan secara online diberbagai jenis platform. Salah satunya aplikasi e-commerce Shopee pada website google play store dimana kelas sentimen positif dan negatif yang terdapat pada ulasan online jelas mencerminkan persepsi pengguna tentang berbagai jenis layanan dan produk yang ada. Selain itu, pelanggan berpotensial yang membaca ulasan online dapat secara signifikan terpengaruh oleh sentimen dari ulasan yang tertera pada kolom ulasan. Hal ini menandakan ulasan yang bersentimen positif ataupun negatif yang ditinggalkan oleh pengguna sangat mempengaruhi pengguna lainnya dalam memilih layanan maupun produk yang dicari. Oleh karena itu perlunya analisis sentimen untuk mengklasifikasi dataset yang begitu banyak sehingga dapat dengan mudah mengetahui apa saja sentimen pelanggan. penelitian ini menggunakan data ulasan sebanyak 500 ulasan . Kemudian ulasan tersebut diklasifikasi menggunakan aplikasi orange dengan metode Naïve Bayes dan K-Nearest Neighbor (KNN). Kemudian selanjutnya menggunakan metode word cloud untuk mengetahui topik-topik yang sering diulas oleh pelanggan. Hasilnya setelah menggunakan metode Naive Bayes memperoleh hasil nilai accuracy 0,914, precision 0,915, recall 0,914 dan F1 score 0,916. Sedangkan metode KNN memperoleh nilai accuracy 0,928,  precision 0,929,  recall 0,928, dan F1 score 0,926. Hal ini membuktikan bahwa dalam penelitian ini kinerja metode KNN lebih baik. Kemudian berdasarkan hasil word cloud yang diperoleh didapatkan informasi kata dengan sentimen positif yang paling sering diulas oleh pelanggan diantaranya terkait kata: gratis, bagus, suka, murah, mudah, dan cepat. Sedangkan informasi sentimen negatif yang diperoleh seperti kata : kecewa, jelek, mahal, bohong, ribet, dan perbaiki. AbstractToday the internet allows users to create online reviews on various types of platforms. One of them is the Shopee e-commerce application on the google play store website, where the positive and negative sentiment classes contained in online reviews reflect user perceptions about the various types of services and products available. Also besides, potential customers who read online reviews can be significantly affected by the sentiment of the reviews listed in the review column. This indicates that positive or negative reviews left by users greatly influence other users in choosing the services or products they are looking for. Therefore the need for sentiment analysis to classify such a large dataset so that you can easily find out what customer sentiments are. This study uses a dataset of 500 reviews. Then the reviews are classified using the orange application with the Naïve Bayes and K-Nearest Neighbor (KNN) methods. Then use the word cloud method to find out topics that are frequently reviewed by customers. The results, after using the Naïve Bayes method, get the accuracy value of 0.914, precision 0.915, recall 0.914, and F1 score 0.916. Meanwhile, the KNN method obtained an accuracy value of 0.928, precision 0.929, recall 0.928, and F1 score 0.926. This proves that in this study the performance of the KNN method is better. Then based on the word cloud results obtained word information with positive sentiments that are most often shared by customers related to words: free, good, like, cheap, easy, and fast. Meanwhile, the negative sentiment information obtained includes the words: disappointed, ugly, expensive, lying, complicated, and fix. 
Implementasi dan Pelatihan Aplikasi Manajemen Aset Gereja Berbasis Progressive Web Application Hartomo, Kristoko Dwi; Setiyawati, Nina; Bangkalang, Dwi Hosanna
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 3 (2023): September 2023
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v6i3.1560

Abstract

Kegiatan Pengabdian kepada Masyarakat (PkM) ini dilakukan dengan melakukan proses implementasi serta pelatihan aplikasi manajemen aset di Gereja Protestan Maluku (GPM) Jemaat Ihamahu-Betfage. Unit Sekolah Minggu GPM Jemaat Ihamahu-Betfage terus bertumbuh dan membutuhkan aplikasi manajemen aset untuk mengelola dan mengarsipkan aset-aset yang dimiliki. Tahapan PkM ini adalah perencanaan dan pelaksanaan yang melibatkan dosen serta mahasiswa Universitas Kristen Satya Wacana serta Guru-guru Sekolah Minggu. Tahap pelaksanaan diawali dengan setting server dan implementasi aplikasi manajemen aset gereja yang menerapkan teknologi Progressive Web Application sehingga memiliki kelebihan reliabel, cepat, dan menarik. Pelatihan dilakukan dengan metode workshop selama satu hari. Berdasarkan evaluasi yang dilakukan pasca pelatihan didapatkan bahwa kegiatan PkM ini telah berjalan efektif dengan aplikasi yang diimplementasikan mudah digunakan dan membantu proses manajemen aset unit Sekolah Minggu.
Rainfall Prediction in Tegal Regency using ETSFormer Tridinatha, Zenitha Eunike; Hartomo, Kristoko Dwi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4422

Abstract

Weather is the atmospheric condition at a specific location and time that is variable and constantly changing. Many factors influence weather conditions, one of which is rainfall. Rainfall is a climatic parameter characterized by high variability due to climate anomalies. These anomalies make rainfall prediction very challenging. Specific factors can cause uneven distribution patterns of rainfall between different regions. The exact amount of rainfall that will occur cannot be determined precisely, but predictions or estimations can be made for future rainfall amounts. This study predicts rainfall in Tegal Regency using ETSFormer. Its aim is to provide useful information about future rainfall patterns for the community, especially in Tegal Regency, to facilitate daily activities. The results show that the ETSFormer model effectively predicts rainfall, achieving optimal results with an 8:2 data composition using univariate analysis, yielding the best MSE evaluation metric of 0.002925439039245248 and MAE of 0.036676984280347824.
Classification of Flood-Prone Areas Using 10-Fold Cross Validation and K-Nearest Neighbors Bagaskara, Adyatma Andhika; Hartomo, Kristoko Dwi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.3637

Abstract

Floods occur when the volume of water exceeds the capacity of containment or the normal flow of water channels, such as rivers, lakes, canals, or drainage systems. In 2021 and 2022, there were 88 flood disasters in Semarang. Factors influencing the occurrence of flood disasters include rainfall, land slope, and the vegetation cover index (NDVI). The main objective of this research is to identify and classify areas in Semarang that are susceptible to flooding by mapping them based on rainfall, vegetation index, and land slope. The classified statuses are flood-prone areas and non-flood-prone areas. A spatial assessment of areas prone to flooding based on GIS is performed using the K-Nearest Neighbor (K-NN) classification algorithm with the R programming language to accomplish this objective. Optimal k testing using the 10-fold cross-validation method reveals that the highest accuracy of the system is achieved with the K-NN method at k=7, reaching 86%. The findings from this study suggest that eight sub-district areas within Semarang are susceptible to flooding, whereas 167 areas in Semarang do not exhibit susceptibility to floods. The potential areas prone to flooding are represented by making a Semarang flood susceptibility map using Quantum GIS software.
Co-Authors Ade Iriani Agata, Kristien Yuni Agus Bambang Nugraha Ahmad Ashifuddin Aqham Alexandra, Andrea Cellista Allu, Roy Armus Andeka Rocky Tanaamah Andriana, Myra Angelia Destriana Anggara Cahya Putra Anthony Y.M. Tumimomor April Firman Daru Ariany Mahastanti, Linda Ariel Kristianto Arthur, Christian Aruperes, Viveca Grivenda Aryanata Andipradana Baali, Gabriel Megfaden Kenisa Bagaskara, Adyatma Andhika Bambang Ismanto Brilliananta Radix Dewana Chandra Husada Danny Manongga Danny Sebastian Dearmelliani Tarigan Desyandri Desyandri Dewi, Stefani Fransisca Dian Widiyanto Chandra Diky Candra Muria Pratama Djoko Hartanto Dwi Anggono Winarso Suparjo Putra Dwi Hosanna Bangkalang Eko Sediyono Enik Muryanti Estie Grace Melisa Sinulingga Evangs Evi Maria Ezra Julang Prasetyo Faudisyah, Alfendio Alif Gerry Santos Lasatira Gladiola Lavinia Ambayu Gogo Krisatyo Hanna Arini Parhusip Hanna Prillysca Chernovita Hindriyanto Dwi Purnomo Hong, Hendry Indrajaya, Denny Irwan Sembiring Joanito Agili Lopo Joanito Agili Lopo Johan Jimmy Carter Tambotoh Joshua Rondonuwu Kamil, Muhammad Farhan Karina Bianca Lewerissa Kevin Benedictus Simarmata Kevin Hendra William Kevin Stevian Hermawan Kezia Sharent Kodoati Kho, Ardi Kuncoro, Wreda Agung Kurniawan, Timothy Arif Limbong, Josua Josen Alexander Linda Ariany Mahastanti Lobo, Murry Albert Agustin Magdalena Ariance Ineke Pakereng Martin Setyawan Martin Teddy Sihite Matheus Supriyanto Rumetna Mila Chrismawati Paseleng Mozad Timothy Waluyan Muflihanto, Ezar Juan Muhammad Rizky Ramadhan Muhammad Sholikhan Neilin Nikhlis Nicolas Evander Suhandi Nina Setiyawati Nining Fitriani nuranto, bogo Nurrokhman Nurrokhman Nuzhah Al Waaidhoh Penidas Fodinggo Tanaem Prakoso, Hendri Suryo Pramudhita Tunjung Seta Prasetyo, Sri Yulianto Prasianto, Kornelius Reinand Purnomo, Andreas Wisnu Adi Purwanto Purwanto Raditya Ditto Aryaputra Radius Tanone Radjawane, Samy Rahmawati, Lutfi Raymond Elias Mauboy Rizaldi, Alexander Sandy Pratama Saputro, Andreas Arga Rinjani Septian Silvianugroho Sinulingga, Yedija Sada Ukurta Sri Yulianto Sri Yulianto Joko Prasetyo Stevan Hamonangan Hardi Suhandi, Nicolas Evander Suharjo, Rahmat Abadi Sulistiawati, Anita Suryasatriya Trihandaru Sutarto Wijono Sutedja, Indrajani T. Arie Setiawan P Takakobi, Michael Richard Teguh Wahyono Theopillus J. H. Wellem Tri Harjani Tri Wahyuningsih Tridinatha, Zenitha Eunike Triloka Mahesti Tumbade, Marcho Oknivan Untung Rahardja Wahab, Nur Haliza Abdul Waliyuddin Rabbani, Imam Wattimena, Nalbraint Wibowo, Mars Caroline Winarko, Edi Wiwien Hadikurniawati Yessica Nataliani Yohan Maurits Indey