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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu dan Teknologi Kelautan Tropis IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Informatika JURNAL SISTEM INFORMASI BISNIS Proceedings of KNASTIK Jurnal Simetris Elkom: Jurnal Elektronika dan Komputer Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Faktor Exacta INOVTEK Polbeng - Seri Informatika MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) Magisma: Jurnal Ilmiah Ekonomi dan Bisnis JUKANTI (Jurnal Pendidikan Teknologi Informasi) JATI (Jurnal Mahasiswa Teknik Informatika) Journal Sensi: Strategic of Education in Information System Abdimasku : Jurnal Pengabdian Masyarakat INFOKUM Aiti: Jurnal Teknologi Informasi Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknik Informatika (JUTIF) Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Jurnal Dimensi DKV Seni Rupa dan Desain Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Eduvest - Journal of Universal Studies CENDEKIA PENDIDIKAN Jurnal Rekayasa elektrika Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pendidikan Teknologi Informasi (JUKANTI) INTERNAL (Information System Journal) Pendekar: Jurnal Pendidikan Berkarakter Blockchain Frontier Technology (BFRONT) Scientific Journal of Informatics BACA: Jurnal Dokumentasi dan Informasi International Journal of Information Technology and Business JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Danny Manongga
Universitas Kristen Satya Wacana
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Social Sciences Transportation Other

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PEMANFAATAN SOCIAL NETWORK ANALYSIS (SNA) UNTUK MENGANALISIS KOLABORASI KARYAWAN PADA PT. ARUM MANDIRI GROUP Kurniawan, Dendy; Iriani, Ade; Manongga, Danny
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1646

Abstract

Pertumbuhan industri di Kendal Jawa Tengah membuat PT. Arum Mandiri Group mencoba meningkatkan unit bisnisnya dengan mengoptimalkan SDM nya. Peningkatan SDM perusahaan salah satunya dengan kolaborasi komunikasi antara karyawan dan pimpinan. Penelitian ini mencoba untuk mengidentifikasi kolaborasi jaringan komunikasi karyawan dalam perusahaan dengan menggunakan metode Social Network Analysis (SNA). Berdasarkan analisa diperoleh hasil tingkat density sebesar 14,9% yang dianggap memiliki ikatan lemah karena dibawah 50%. Individu nomor 31 memiliki degree centrality tertinggi dengan nilai outdegree 15 dan indegree 10, sedangkan individu nomor 25 yang memiliki closeness centrality tertinggi dengan nilai inCloseness 50.602 dan nilai outCloseness 27,815. Individu nomor 25 juga memiliki betweenness centrality tertinggi dengan nilai Betweenness 743.194dan nBetweenness 43.159. Dapat disimpulkan dalam penelitian ini terdapat kolaborasi dalam jaringan sosial dari masing-masing individu yang terbagi dalam tiga divisi kerja dan tergambarkan dalam bentuk sociogram.  Industrial growth in Kendal, Central Java made PT. Arum Mandiri Group is trying to improve its business units by optimizing its human resources. One of the improvements in corporate HR is through collaborative communication between employees and leaders. This study tries to identify employee communication network collaboration within a company by using the Social Network Analysis (SNA) method. The result of this research are density level of 14.9% which is considered to have a weak bond because under 50%. Individual number 31 has the highest of degree centrality with an outdegree value of 15 and indegree of 10, while individual number 25 has the highest closeness centrality with value inCloseness 50.602 and outCloseness value 27.815. Individual number 25 also has the highest centrality betweenness with a value of Betweenness 743,194 and nBetweenness 43,159. It can be concluded in this study there is collaboration in the social network of each individual which is divided into three work divisions and described in the form of a sociogram.
SISTEM PEMANTAU KINERJA BERBASIS BALANCED SCORECARD: STUDI KASUS UKSW DALAM RANGKA MEWUJUDKAN RESEARCH UNIVERSITY Tanone, Radius; Manongga, Danny; Tambotoh, Johan
BACA: Jurnal Dokumentasi dan Informasi Vol. 34 No. 2 (2013): BACA: Jurnal Dokumentasi dan Informasi (Desember)
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.baca.v34i2.179

Abstract

Balanced scorecard is a concept that can be used as a performance monitoring system in an organization. Results of monitoring the performance of the organization by implementing a balanced scorecard to perform and produce measurement and monitoring from time to time. Satya Wacana Christian University wants to develop the concept of education in the direction of research in a Research University (RU). It is important for universities to create a strategy and carry out the action that RU can be realized. Application of the balanced scorecard use to see the vision and mission of the university to reach the next target should be done. As a leading university RU application of balanced scorecard need to be viewed from four perspectives: financial, customer, internal business processes, growth and learning. Based on the perspective that there is then established Key Performance Indicators (KPI) are selected according to the needs of SWCU realize RU. Performance monitoring system is used based Ms.excel. The implementation of the balanced scorecard and KPI development plans SWCU create RU in the resulting system performance monitor that can measure and monitor from time to time.
IMPLEMENTASI TOTAL QUALITY MANAGEMENT (TQM) UNTUK PENINGKATAN MUTU BERKELANJUTAN DI LEMBAGA PENDIDIKAN Pukada, Michael Alan Hirdi; Stefanus Christian Relmasira; Danny Manongga
Pendekar : Jurnal Pendidikan Berkarakter Vol. 3 No. 4 (2025): Agustus : Jurnal Pendidikan Berkarakter
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/1179

Abstract

Di tengah tantangan global dan tuntutan peningkatan mutu pendidikan, lembaga pendidikan memerlukan kerangka kerja manajemen yang sistematis untuk memastikan relevansi dan daya saing. Penelitian ini bertujuan untuk menganalisis dan merumuskan model implementasi Total Quality Management (TQM) yang komprehensif sebagai strategi untuk peningkatan mutu berkelanjutan di lembaga pendidikan. Dengan menggunakan metode kualitatif melalui pendekatan studi pustaka, penelitian ini mengumpulkan, menganalisis, dan mensintesis berbagai literatur primer dan sekunder yang relevan. Temuan utama menunjukkan bahwa implementasi TQM yang efektif harus didasarkan pada lima pilar yang saling terintegrasi: kepemimpinan transformasional yang visioner, perencanaan strategis yang berpusat pada pelanggan, manajemen proses pembelajaran yang berfokus pada keterlibatan siswa, kolaborasi dengan seluruh pemangku kepentingan, serta siklus evaluasi dan perbaikan berkelanjutan. Implikasi dari penelitian ini adalah bahwa TQM menawarkan sebuah model holistik yang memungkinkan lembaga pendidikan untuk tidak hanya memenuhi standar, tetapi juga membangun budaya mutu yang adaptif dan inovatif, sehingga mampu menghasilkan peningkatan kualitas layanan dan hasil pendidikan secara signifikan dan berkelanjutan.
Perbandingan Naïve Bayes dan KNN dalam menganalisis sentimen pengguna terhadap UI/UX pada aplikasi IKD Anumi, Maria Grassella; Manongga, Danny
AITI Vol 22 No 2 (2025)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v22i2.165-177

Abstract

The Directorate General of Citizens and Civil Registration, under the Ministry of Home Affairs, has developed an application called digitization of population documents (IKD) to enhance administrative services related to community registration and increase user satisfaction. However, this application has its strengths and weaknesses, which have resulted in mixed reactions from users. To analyze user sentiment towards the application's user interface and user experience, the research utilized Naïve Bayes and KNN techniques. The study involved 52 respondents, and the results showed that the Naïve Bayes algorithm has a higher accuracy rate than the KNN algorithm. Sentiment predictions for the user interface obtained 38 positive responses, 12 neutral responses, and two negative responses, while for user experience, the study obtained 41 positive responses, eight neutral responses, and three negative responses. The accuracy rates of the Naïve Bayes algorithm for the user interface and user experience were 94.23% and 90.38%, respectively. On the other hand, the KNN algorithm achieves an accuracy rate of 71.15% for the user interface and 88.46% for the user experience. Overall, the study shows that the Naïve Bayes method outperforms the KNN method in terms of accuracy for user interface and user experience.
Development of Multiple Intelligence Based Digital Extracurricular Management Model for High Schools Filimdity, Elsa K.; Manongga, Danny; Dwikurnaningsih, Yari
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 11 No. 3 (2025): September
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v11i2.14953

Abstract

This study aims to develop an extracurricular management model grounded in multiple intelligences theory. Employing the Borg and Gall Research & Development (R&D) model, this study integrates a mixed-methods approach. The model comprises ten stages, with this study reaching five stages, namely small-scale product revisions. Expert validation involved three specialists, while small-scale trials engaged 15 teachers and three high school principals. Data collection methods included interviews, questionnaires, and observations, with qualitative and quantitative descriptive analysis employed. The results show that EXMMIND (Digital Multiple Intelligences Extracurricular Management) is effective, with feasibility tests yielding 89.5% (IT experts), 86% (management experts), and 90% (principals) and 89% (teachers), all categorized as 'very good'. EXMMIND provides students with opportunities for growth and development aligned with their strengths. Schools, as institutions that foster humanization, create extracurricular activities and lifelong provisions that are mastered and carried throughout life. This product is anticipated to be implemented to enhance extracurricular activities grounded in students' potential, interests, and intelligence.
ANALISIS EFEKTIVITAS INTEGRASI TOTAL QUALITY MANAGEMENT (TQM) DAN SISTEM INFORMASI MANAJEMEN (SIM) TERHADAP KUALITAS PENGAMBILAN KEPUTUSAN KEPALA SEKOLAH UNTUK PENINGKATAN MUTU BERKELANJUTAN DI SD NEGERI WATES Destiyani, Gati; Relmasira, Stefanus Christian; Manongga, Danny
CENDEKIA PENDIDIKAN Vol 4 No 3 (2025): Edisi Agustus
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Abdurachman Saleh Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/cendekiapendidikan.v4i3.7267

Abstract

Kualitas pengambilan keputusan kepala sekolah merupakan pengungkit krusial untuk mendorong peningkatan mutu sekolah yang berkelanjutan. Penelitian ini bertujuan untuk menganalisis efektivitas integrasi prinsip Total Quality Management (TQM) dan data Sistem Informasi Manajemen (SIM) terhadap kualitas pengambilan keputusan Kepala Sekolah di SD Negeri Wates. Dengan menggunakan pendekatan kualitatif berdesain studi kasus, data dikumpulkan melalui wawancara mendalam dengan kepala sekolah dan dianalisis secara tematik. Hasil penelitian menunjukkan bahwa integrasi TQM dan SIM terbukti sangat efektif dalam mentransformasi proses pengambilan keputusan. Sinergi antara filosofi TQM yang menekankan perbaikan berkelanjutan dan fokus pada pelanggan dengan data objektif dari SIM (rekap nilai dan kehadiran siswa) telah meningkatkan kualitas keputusan, menggesernya dari yang bersifat intuitif menjadi berbasis bukti, partisipatif, dan tepat sasaran. Inisiasi program “Zero O’clock” menjadi contoh utama di mana data SIM mengidentifikasi masalah, dan prinsip TQM memandu solusi yang kolaboratif dan evaluatif. Penelitian ini menyimpulkan bahwa integrasi yang efektif ini secara langsung meningkatkan kualitas keputusan strategis, yang pada gilirannya menjadi katalisator bagi peningkatan mutu sekolah yang berkelanjutan.
Implementation of Tensor Flow in Air Quality Monitoring Based on Artificial Intelligence Rahardja, Untung; Aini, Qurotul; Manongga, Danny; Sembiring, Irwan; Girinzio, Iqbal Desam
International Journal of Artificial Intelligence Research Vol 6, No 1 (2022): June 2022
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.430

Abstract

Chemicals that cannot be controlled today can pollute resources and the environment. Common sources of pollutants are due to public transportation, cigarette smoke, volcanic activity that emits volcanic ash, factory smoke, forest fires, biogas, or carbon dioxide. The purpose of this paper is to monitor air quality, detect air and anticipate pollution levels. With the specified algorithms, three algorithms will be used to create a good and accurate model where four different gasses are predicted: carbon dioxide, sulfur dioxide, and nitrogen dioxide, in this paper, there are four algorithms used for the Air Qualification Index which are Support Vector Regression, Linear Regression, and Ensemble Gradient Boosted Decision Tree. This research also includes quantitative research which is hypothesized to be evaluated against Root Mean Squared Error, Mean Squared Error, and Mean Absolute error, depending on the performance of the measurements made by artificial intelligence, and the lower error value is selected. Based on the algorithm to be predicted in this air quality monitoring, there are 5 air pollutants like Carbon dioxide, Sulfur dioxide, and Nitrogen dioxide, and the sensors to be used are two sensors like PM2.5 and PM10 that can be predicted.
A Comparison Support Vector Machine, Logistic Regression And Naïve Bayes For Classification Sentimen Analisys user Mobile App Baihaqi, Kiki Ahmad; Setyawan, Iwan; Manongga, Danny; Purnomo, Hendryanto Dwi; Hendry, Hendry; Fauzi, Ahmad; Hananto, Aprilia
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.962

Abstract

Data is the most important thing, the use of data can be useful to get an evaluation from the user of a system or application that is built based on mobile. Not only, the assessment or acceptance results of mobile applications during the trial stage are considered important, assessments and comments from direct users are also important things that can be input for mobile application developers. Data mining, or known in English as data mining, is the answer to the process of retrieving data on any media. In this research, data mining is carried out on the media mobile application download service provider Google Playstore, which provides data in the form of comments and ratings. After scraping the data and obtaining the latest data parameters determined by the latest 2000 comments, the data is pre-processed by removing the emot icon character and eliminating unneeded variables so that the data obtained can be processed to the next stage, namely classification based on ratings and sentiment comments. The algorithms used or compared in this research are Support Vector machine, logistic regression and naïve bayes which are known to be reliable in data mining processing. In this research, the accuracy results are 88% for SVM, 90.5% for Logistic Regression and 91% for naïve bayes.
Model Konseptual bagi Pengembangan Knowledge Management di SMA Menggunakan Soft System Methodology Perdana, Eric Megah; Manongga, Danny; Iriani, Ade
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 2: April 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3529.171 KB) | DOI: 10.25126/jtiik.201962932

Abstract

Terhambatnya transformasi knowledge antara pengajar dan siswa di SMAK 1 Penabur Jakarta ditemukanlah suatu kendala, yaitu perbedaan karakter antara yayasan, guru, dan siswa. Berdasarkan fakta diatas, SMAK 1 Penabur Jakarta memerlukan suatu Knowledge Management yang dapat membantu kinerja yang sedang berjalan. Metode yang digunakan dalam penelitian ini adalah pendekatan Soft System Methodology. Terdapat langkah dalam Soft System Methodology yang dilakukan yaitu menggunakan analisis CATWOE terhadap holon yang ditemui di SMAK 1 Penabur Jakarta. Pemodelan yang dihasilkan berupa komponen yang dibagi menjadi 4 bagian yaitu, manusia, proses, teknologi, dan content.AbstractThe obstructed of knowledge transformation between the educator and student in SMAK 1 Penabur Jakarta was found the constraints, it is the differences character between foundation, teacher, and student. According to the fact above, SMAK 1 Penabur Jakarta needs a knowledge management in order to help the teaching and learning proses. This research is using the method. The method that is used is Soft System Methodology (SSM) approach. It has some steps in Soft System Methodology by using CATWOE analyzation to holon in SMAK 1 Penabur Jakarta. The model-produced is divided into 4 components, those are human, content, technology, and process.
Perancangan Aplikasi Knowledge Management di Instansi Kearsipan Berbasis Model Choo-Sense Making Hermansyah, Eko Nur; Manongga, Danny; Iriani, Ade
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 1: Februari 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.0812451

Abstract

AbstrakIntansi Kearsipan memiliki berbagai pengetahuan yang digunakan untuk pengelolaan arsip yang dimilikinya, knowledge management digunakan untuk mengumpulkan, mengelola, dan menyebarluaskan pengetahuan yang dimiliki, sehingga pengetahuan yang dimiliki oleh instansi kearsipan dapat digunakan untuk kemajuan intansi dan tidak hilang. Penelitian ini dilakukan di Dinas Perpustakaan dan Kearsipan Kota Salatiga. Pengumpulan data dilakukan dengan wawancara petugas kearsipan untuk mengumpulkan data tentang pengetahuan yang dimiliki dan cara penyimpanan serta penyebarluasan yang diterapkan di intansi kearsipan. Analisis data dilakukan dengan mengelompokkan pengetahuan yang dimiliki oleh intansi kearsipan sesuai dengan model Choo-Sense Making, untuk kemudian diterapkan di Confluence sesuai dengan hasil dari pengolahan data dengan model Choo-Sense Making. Hasil dari penelitian ini untuk model Choo-Sense Making pengetahuan di intansi kearsipan dibagi atas 3 tahap yaitu Sense Making yang berisi tentang pengetahuan yang berasal dari luar intansi dibuatkan wadah sebagai media diskusi, chatting, Knowledge Creating berisi tentang pengetahuan-pengetahuan yang dimiliki intansi kearsipan yang telah di dokumentasikan diubah dalam betuk softfile kemudian diunggah kedalam space untuk memudahkan penyimpanan serta penyebarluasan pengetahuan yang dimiliki, dan Decision Making yang berisi tentang jadwal-jadwal intansi dan evaluasi yang dilakukan intansi kearsipan. Hasil dari model Choo-Sense Making dimasukan ke Confluence, memperoleh hasil space yang dapat memudahkan menyimpan pengetahuan yang dimiliki berupa file aplikasi, softfile, serta memudahkan dalam pencarian kembali dan penyerluasan pengetahuan yang dimiliki. Penerapan Choo-Sense Making selain untuk mempermudah penyimpanan dan penyerbaluasan serta komunikasi, dapat mengurangi resiko kehilangan pengetahuan yang dimiliki oleh intansi kearsipan. Kata kunci: Knowledge Management, Model Choo-Sense Making, Confluence, Perpustakaan dan ArsipAbstractArchival Agency has several knowledge that are used to manage the owned archive, knowledge management is used to collect, manage and disseminate the owned knowledge so that the knowledge that the archival agency has can be used for the agency progress and it will not missing. The research is conducted in Dinas Perpustakaan dan Kearsipan Kota Salatiga. Data collecting is conducted by interviewing the archival officer to gather data related to its knowledge, the storage system and dissemination applied in this archival agency. Data analysis is conducted by categorizing the agency knowledge according to Choo-Sense Making model and then it is applied in Confluence in accordance with the result of the data analysis from the Choo-Sense Making model. The result of this research, for Choo-Sense Making model, the knowledge in the archival agency is divided into 3 steps; Sense Making, Knowledge Creating and Decision Making. Sense Making contains knowledge coming from the outside of the agency that has forum as discussion media, chatting. Knowledge Creating contains knowledge that owned by the archival agency that has been documented and changed in the form of softfile then uploaded into space to ease the storage and the knowledge dissemination. Decision Making is about agency schedules and evaluation toward the activity in this archival agency. The result of Choo-Sense Making Model is input into Confluence, get space result that ease to save the knowledge in the form of application file, softfile, and ease to search and disseminate the owned knowledge. The application of Choo-Sense Making eases the storage system, dissemination, and communication. It also reduces the risk of losing knowledge owned by the archival agency. Keywords: Knowledge Management, Model Choo-Sense Making, Confluence, Library and Archive
Co-Authors Abas Sunarya, Po Abdi Samuel Mango Ade Iriani Agni Isador Harsapranata Agung Wibowo Albert Kriestian Novi Adhi Nugraha Andianti, Yohana Antonius Mbay Ndapamuri Anumi, Maria Grassella April Lia Hananto Apriliasari, Dwi Arny Lattu Astriyer J. Nahumury Ayu Sanjaya, Yulia Putri Baihaqi, Kiki Ahmad Bani, Benediktus Budhi Kristianto Budi Santoso Cahyaningtyas, Christian Daniawan, Benny Dendy Kurniawan Destiyani, Gati Devianto, Yudo Dwi Hosanna Bangkalang Efendy, Rifan Eko Nur Hermansyah Eko Sediyono Elfira Umar Elmanda, Vonda Erwianta Gustial Radjah Evangs Mailoa Evi Maria Faturahman, Adam Fauzi Ahmad Muda Filimdity, Elsa K. Frederik Samuel Papilaya Girinzio, Iqbal Desam Gunawan Gunawan Henderi Hendry Hendry, - Henry Adhi Sulistyo Herdin Yohnes Madawara Hindriyanto Dwi Purnomo Huda, Baenil I Ketut Suada Irwan Sembiring Iwan Setiawan Iwan Setyawan Johan Jimmy Carter Tambotoh Joko Siswanto Julianingsih, Dwi Julians, Adhe Ronny Krismiyati Kristoko Dwi Hartomo Lorna Yertas Baisa Lukman Santoso Madawara, Herdin Yohnes Mango, Abdi Samuel Mangoki, Willson Martza Merry Swastikasari Muhamad Yusup Muhammad Ryza Awwali , Sulartopo, Muhammad Ryza Awwali , Nina Setiyawati Panja, Eben Penidas Fiodinggo Tanaem Penidas Fodinggo Tanaem Perdana, Eric Megah Po Abas Sunarya Priatna , Wowon Pudjajana, Andre Maureen Pukada, Michael Alan Hirdi Purnomo, Hendryanto Dwi Qurotul Aini Radius Tanone Rahardja.,M.T.I.,MM, Dr. Ir. Untung Ravensca Matatula Ravensca Matatula Reni Veliyanti Rimes Jopmorestho Malioy Rivort Pormes Rivort Pormes Rivort Pormes, Rivort Ronny Julians, Adhe Saian, Septovan Dwi Suputra Santoso, Joseph Teguh Santoso, Nuke Puji Lestari Selfiana Pandie Sophia Tri Satyawati Sri Yulianto Joko Prasetyo Stefanus Christian Relmasira Suharyadi Sulistyo, Henry Adhi Sutarto Sutarto Sutarto Wijono Swastikasari, Martza Merry Theopillus J. H. Wellem Tri Wahyuningsih Tukino Tukino, Tukino Untung Rahardja Victor Peter Lodewyk Duan Winny purbaratri Wiwien Hadikurniawati Yari Dwikurnaningsih Yerik Afrianto Singgalen Yessica Nataliani