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All Journal BERKALA FISIKA Jurnal Harpodon Borneo Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik JURNAL FISIKA Sainteknol : Jurnal Sains dan Teknologi Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics Jurnal Pendidikan Biologi Indonesia Jurnal Imejing Diagnostik Civis: Jurnal Ilmiah Ilmu Sosial dan Pendidikan ETNOSIA : Jurnal Etnografi Indonesia Chemistry in Education JOIV : International Journal on Informatics Visualization Jati: Jurnal Akuntansi Terapan Indonesia Jurnal Rekayasa Material, Manufaktur & Energi Jurnal Organisasi Dan Manajemen Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Pendidikan Kebutuhan Khusus ILKOM Jurnal Ilmiah Prosiding Seminar Nasional Sains dan Teknologi Terapan IKRA-ITH ABDIMAS Jurnal Ilmu Kepolisian Gema Wiralodra Journal of Information Systems and Informatics PENA AKUATIKA : JURNAL ILMIAH PERIKANAN DAN KELAUTAN International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Jurnal Penelitian Fisika dan Terapannya (JUPITER) Indonesian Journal of Data and Science Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) International Journal of Engineering, Science and Information Technology Best : Journal of Applied Electrical, Science and Technology Marine Science and Technology Journal Indonesian Journal of Social Science Research Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) JURNAL PENDIDIKAN INDONESIA: Teori, Penelitian, dan Inovasi Indonesian Journal of Multidisciplinary Science Jurnal Iman dan Spiritualitas Sapientia Humana : Jurnal Sosial Humaniora Journal of Artificial Intelligence and Digital Business Room of Civil Society Development Jurnal Ilmiah Ekonomi, Manajemen dan Syariah Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Ramatekno Jurnal Penelitian Pendidikan Indonesia International Journal of Artificial Intelligence in Medical Issues Journal Of Public Policy (Social Politics) Sciences (Polisci) TeknoKreatif: Jurnal Pengabdian kepada Masyarakat PASAI : Jurnal Pengabdian kepada Masyarakat Room of Civil Social Development SIMPUL: Jurnal Ilmu Politik dan Hukum Jurnal Ilmu Kesehatan Indonesian Journal of Aerospace

Rudi Setiawan

Magister Ilmu Fisika,Universitas Diponegoro

Author-ID : 377110

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Entertainment Event Management And Improving Gen Z Literacy In Event Organizers Setiawan, Rudi; Syahputra, Ahmad Reynaldi; Khumayah, Siti; Erawati, Dedet
Jurnal Polisci Vol 2 No 6 (2025): Vol 2 No 6 July 2025
Publisher : ann4publisher@gmail.com

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/polisci.v2i6.761

Currently, there are many festival events organised in Indonesia. However, most of the events organised only focus on delivering entertainment and do not focus on the essence of the ideas that want to be conveyed to the participants of an event, which of course can include all topics that are educational and informative. Pekan Sastra is one of the festival events held based on the lack of interest in literacy. This study aims to identify communication strategies in event management aimed at increasing Gen Z literacy in the implementation of literary week in Cirebon. This research explains the management of entertainment events and the improvement of Gen Z literacy in organising events. This research uses descriptive empirical research with a qualitative approach. The data sources used consist of secondary data and primary data. Data collection techniques were carried out through observation, interviews, and documentation. Data analysis was carried out by reducing data, reading data and drawing conclusions. This research applies the event management theory proposed by Goldblatt in 2013, which consists of Research, Design, Planning, Coordination, and Evaluation. The results of this study indicate that event management has not run optimally, especially in terms of planning and coordination related to the implementation schedule that has not been flexible. This condition causes female participants who are students to have difficulty in obtaining permission from parents, and there is a lack of coordination with volunteers. In running an event, the event organiser needs careful coordination and preparation so that the event can be managed more effectively and efficiently.

Pelatihan Aplikasi Buang Sampah Sebagai Sarana Edukasi Pengelolaan Sampah Berbasis Rumah Tangga Setiawan, Rudi; Al Faruq, Umar
Room of Civil Society Development Vol. 4 No. 4 (2025): Room of Civil Society Development
Publisher : Lembaga Riset dan Inovasi Masyarakat Madani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59110/rcsd.676

Pengelolaan sampah rumah tangga memerlukan pendekatan inovatif yang mendorong partisipasi aktif masyarakat. Kegiatan pengabdian ini bertujuan untuk meningkatkan literasi pengelolaan sampah melalui pelatihan penggunaan aplikasi Buang Sampah kepada warga RW.22 Perumahan Pura Bojonggede dan nasabah Bank Sampah Pratama. Metode pelatihan dilakukan secara partisipatif melalui sosialisasi, demonstrasi, praktik langsung, dan diskusi. Evaluasi dilakukan dengan pre-test dan post-test menggunakan skala Likert terhadap lima indikator utama. Hasil menunjukkan peningkatan signifikan pada aspek pemahaman memilah sampah, keterampilan teknis penggunaan aplikasi, dan kesadaran terhadap jadwal pengumpulan sampah. Responden yang sebelumnya tidak memahami manfaat aplikasi menunjukkan perubahan persepsi yang positif setelah pelatihan. Temuan ini mengindikasikan bahwa pendekatan edukatif berbasis teknologi digital mampu membangun kesadaran lingkungan dan dapat diterapkan pada komunitas lain dengan karakteristik serupa. Untuk keberlanjutan, diperlukan dukungan kebijakan, infrastruktur digital, serta kolaborasi multipihak.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59110/rcsd.676

Analisis Komunikasi Interpersonal Dinas Sosial Kota Malang dalam Meningkatkan Kualitas Layanan Konsultasi Pengangkatan Anak bagi Calon Orang Tua Angkat Rahmawati, Aisyah; Setiawan, Rudi
SIMPUL: Jurnal Ilmu Politik dan Hukum Vol. 1 No. 2: SIMPUL:Jurnal Ilmu Politik dan Hukum, Juni 2025
Publisher : Gema Cendekia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71094/simpul.v1i2.131

Penelitian ini bertujuan untuk menganalisis peran komunikasi interpersonal dalam meningkatkan kualitas layanan konsultasi pengangkatan anak bagi calon orang tua angkat di Dinas Sosial Kota Malang. Komunikasi interpersonal diharapkan dapat mempengaruhi efektivitas layanan konsultasi, yang pada gilirannya berkontribusi pada keberhasilan proses pengangkatan anak. Penelitian ini menggunakan pendekatan kualitatif dengan teknik wawancara mendalam terhadap petugas Dinas Sosial serta calon orang tua angkat yang menerima layanan konsultasi. Hasil penelitian menunjukkan bahwa komunikasi interpersonal yang baik antara petugas dan calon orang tua angkat berperan penting dalam menciptakan pemahaman yang jelas mengenai prosedur dan persyaratan pengangkatan anak. Selain itu, komunikasi yang terbuka dan empatik mampu mengurangi kecemasan dan meningkatkan rasa percaya diri calon orang tua angkat. Meskipun demikian, terdapat tantangan dalam hal keterbatasan waktu dan sumber daya yang mempengaruhi intensitas komunikasi antara petugas dan calon orang tua angkat. Berdasarkan temuan ini, disarankan agar Dinas Sosial Kota Malang terus memperbaiki kualitas komunikasi interpersonal dengan memperhatikan keterampilan komunikasi petugas serta meningkatkan fasilitas dan waktu yang tersedia untuk konsultasi.

Machine learning-based B2C software project success prediction model in Indonesia Setiawan, Rudi; Rahman, Titik Khawa Abdul
International Journal of Advances in Intelligent Informatics Vol 11, No 3 (2025): August 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v11i3.2123

The success of a software project is a crucial factor in the information technology industry, but it is often difficult to predict due to its complexity and high dynamics. This research aims to develop a model for predicting the success of software projects, particularly B2C e-business software in Indonesia, utilizing a machine learning approach. This study involved 28 variables that affect the success of software projects obtained from previous research. The dataset was compiled from the historical records of software projects from various software development companies in Indonesia. The predictive model was developed using Support Vector Machine and Artificial Neural Network algorithms, with hyperparameter tuning performed via Grid Search. The modelling process includes the pre-processing stage of data, which involves synthetic data generation due to inadequate data collection, as well as the application of several dataset mining techniques (SMOTE, ADASYN, SMOTE Tomek Links, and ADASYN Tomek Links). Additionally, model training and performance evaluation are conducted using a confusion matrix. The search for important features using the Shapley Additive Explanations method is also conducted to develop an automated recommendation system based on key factors that require improvement. The results showed that the SVM model with Grid Search tuning of hyperparameters in the SMOTE Tomek Links data test yielded the best performance, with an accuracy of 87.8%, demonstrating the significant potential of machine learning in identifying project success factors from the early stages. This study contributes to the development of decision-support tools for B2C project managers in Indonesia by providing accurate early predictions and interpretable recommendations.

Implementation of Lumbosacral Vertebrae Examination in the Erect Patient Position Based on Clinical Diagnosis of Low Back Pain (LBP) Priyanto, Rachmat; Laksono, Muharram Budi; Setiawan, Rudi; Sumarmi; Haryani, Ani
Jurnal Ilmu Kesehatan (JIKSAN) Vol. 1 No. 1 (2025): Jurnal Ilmu Kesehatan
Publisher : Universitas An Nasher - Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65099/m8z02392

Background: Low back pain (LBP) is one of the most common musculoskeletal complaints encountered in healthcare settings, thus requiring accurate diagnostic management to support clinical diagnosis. Radiographic examination of the lumbosacral vertebrae in the erect position is one of the essential procedures in evaluating this condition. Purpose: This study aims to determine the implementation of lumbosacral vertebrae radiographic examinations in patients with LBP at the Radiology Department of Majalengka Regional General Hospital (RSUD Majalengka), starting from data verification to the interpretation of results by a radiology specialist. Method: This study employed a descriptive method with an observational approach to the radiographic procedure using anteroposterior (AP) and lateral projections. Results: The findings indicate that the implementation of the examination was carried out properly, as evidenced by the appropriate patient positioning, adequate radiation protection, and radiographic images that met diagnostic quality criteria. Interpretation by the radiology specialist confirmed that the images produced were suitable for establishing a diagnosis of low back pain.

PENERAPAN MODEL PEMBELAJARAN DISCOVERY LEARNING PADA PESERTA DIDIK DI SD NEGERI CIAWIGEDE Aryani, Wiwik Dyah; Saadah, Neng Siti Nur; Anggraeni, Reni; Alamri, Sazili Mustofa; Setiawan, Rudi; Ihsan, Muhammad Nur
Jurnal Pendidikan Indonesia : Teori, Penelitian, dan Inovasi Vol 5, No 4 (2025): Jurnal Pendidikan Indonesia : Teori, Penelitian, dan Inovasi
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpi.v5i4.1742

This study aims to apply the Discovery Learning model to students of Ciawigede Elementary School to improve problem-solving skills in Islamic Religious Education learning. The method used is classroom action research with a qualitative descriptive approach using two cycles, where each cycle consists of planning, implementation, observation, and reflection. The results of the study showed a significant increase in students' problem-solving skills before and after the application of this learning model. The average student score increased from 74.3 in cycle I to 79.6 in cycle II, with the percentage of classical learning completion increasing from 86% to 89.66%. This study concludes that the Discovery Learning model is effective in improving student activity and learning outcomes, as well as encouraging students to be more active and creative in the learning process.ABSTRAKPenelitian ini bertujuan untuk menerapkan model pembelajaran Discovery Learning pada siswa SD Negeri Ciawigede untuk meningkatkan kemampuan pemecahan masalah dalam pembelajaran PAI. Metode yang digunakan adalah penelitian tindakan kelas dengan pendekatan deskriptif kualitatif menggunakan dua siklus, di mana setiap siklus terdiri dari perencanaan, pelaksanaan, pengamatan, dan refleksi. Hasil penelitian menunjukkan adanya peningkatan yang signifikan dalam kemampuan pemecahan masalah siswa sebelum dan setelah penerapan model pembelajaran ini. Rata-rata nilai siswa meningkat dari 74,3 pada siklus I menjadi 79,6 pada siklus II, dengan persentase ketuntasan belajar klasikal meningkat dari 86% menjadi 89,66%. Penelitian ini menyimpulkan bahwa model Discovery Learning efektif dalam meningkatkan aktivitas dan hasil belajar siswa, serta mendorong siswa untuk lebih aktif dan kreatif dalam proses pembelajaran.

Analisis Indeks Aiken pada Uji Validitas Isi Instrumen Validasi Emotion Detection Tool bagi Anak Gangguan Spektrum Autisme Hadia Sukma, Yoga; Rahmahtrisilvia, Rahmahtrisilvia; Iswari, Mega; Mahdi, Arisul; Setiawan, Rudi; Amani, Risca
Jurnal Pendidikan Kebutuhan Khusus Vol. 9 No. 2 (2025): JPKK
Publisher : Jurusan Pendidikan Luar Biasa Fakultas Ilmu Pendidikan Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jpkk.v9i2.1154

Penelitian ini bertujuan untuk menguji validitas isi dari sebuah instrumen. Instrumen yang dimaksud ialah instrumen validasi ahli terkait keberfungsian sebuah prototype untuk mendeteksi emosi anak gangguan spektrum autisme (GSA). Desain prototype ini disebut emotion detection tool (EDT). Validitas isi merupakan aspek penting dalam memastikan bahwa instrumen yang digunakan dapat secara akurat dan tepat mengukur indikator yang seharusnya ada dalam instrumen terkait. Penelitian ini merupakan penelitian dan pengembangan (Research and Development) dengan pendekatan kuantitatif deskriptif, yang melibatkan empat orang ahli yaitu ahli elektronika, ahli informatika, ahli pendidikan luar biasa dan ahli sekolah luar biasa. Validitas isi instrumen ini dilakukan dengan memberikan penilaian pada 11 indikator utama yang dianalisis menggunakan Indeks Aiken untuk menentukan sejauh mana item-item dalam instrumen tersebut memenuhi kriteria validitas isi. Hasil analisis menunjukkan total penilaian indikator instrumen ini menunjukkan koefesien Indeks Aiken 0.78, yang menunjukkan bahwa instrumen tersebut berada dalam kategori valid secara isi. Namun, masih memerlukan adanya perbaikan pada beberapa item untuk meningkatkan akurasi dan keandalan instrumen tersebut. Penelitian ini berimplikasi pada penguatan proses pengembangan instrumen validasi dibidang pendidikan khusus, serta mendukung penggunaan alat bantu berbasis teknologi sebagai pendekatan preventif dalam penanganan perilaku tantrum anak GSA.

The influence of micro-influencers and content marketing through customer engagement on purchasing decisions Setiawan, Rudi; Salim, Muhartini
Gema Wiralodra Vol. 15 No. 1 (2024): Gema Wiralodra
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/gw.v15i1.643

Technology has had a huge impact on the marketing field. In today's digital era, technology has completely changed the way we interact and communicate with customers. Instagram is the object of research because this platform has become one of the largest and most popular social media in the world. This research aims to determine the influence of micro-influencers and content marketing through customer engagement on product purchasing decisions on Instagram. The data obtained by this research is through a questionnaire from 100 respondents. Instagram users. This research data was processed using SEM (Structural Equation Modeling) using the SmartPLS4 application. The results of this research show the positive influence of Micro-influencers on Customer engagement, Content marketing on Customer engagement, Micro-influencers on purchasing decisions, Content marketing on purchasing decisions, Customer engagement on purchasing decisions, and Micro influencers on work decisions through customer engagement. Content marketing on employment decisions through customer engagement. Implementation for companies that market their products via Instagram is expected to use Micro-Influencers and Content Marketing to attract buyers and good customer engagement, resulting in purchasing decisions on the Instagram application.

Deteksi Malaria Berbasis Segmentasi Warna Citra dan Pembelajaran Mesin Setiawan, Agung W.; Rahman, Yusuf A.; Faisal, Amir; Siburian, Marsudi; Resfita, Nova; Gifari, Muhammad W.; Setiawan, Rudi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 4: Agustus 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021844377

Di beberapa daerah di Indonesia, malaria masih merupakan salah satu penyakit endemik dan termasuk ke dalam kategori penyakit menular dengan vektor nyamuk Anopheles. Penurunan jumlah mortalitas penderita malaria ini telah menjadi program Pemerintah Indonesia dan World Health Organization. Salah satu hal penting yang dapat dilakukan adalah menyediakan alat diagnosis malaria yang cepat dan akurat berbantukan komputer. Oleh karena itu, pada studi ini dikembangkan sebuah metode deteksi malaria berbasis segmentasi warna citra yang dikombinasikan dengan metode pencacahan objek citra dan pembelajaran mesin berbasis Convolutional Neural Network. Pada studi ini, segmentasi citra dilakukan dengan menetapkan suatu nilai ambas batas tertentu (thresholding) pada model warna HSV. Nilai ambang batas untuk masing-masing kanal warna ditetapkan sebagai berikut: H = 100-175, S = 100-250, dan V = 60-190. Terdapat tiga skema pembelajaran mesin yang digunakan, yaitu citra asli menggunakan RMSProp optimizer, citra tersegmentasi menggunakan RMSProp dan Adam optimizer. Akurasi pelatihan dan validasi CNN tertinggi diperoleh dengan skema citra tersegmentasi menggunakan RMSProp optimizer, yaitu sebesar 92,77% dan 94,38%. Sementara, deteksi malaria berbasis pencacahan objek memiliki akurasi sebesar 93,78%. Meskipun deteksi malaria berbasis pencacahan objek memiliki akurasi 93,78%, tetapi sumber daya komputasi dan waktu yang diperlukan jauh lebih rendah.AbstractMalaria is still one of the endemic diseases in several regions of Indonesia. Reducing the malaria mortality rate has become a notable programme, not only does the Government of the Republic of Indonesia project it, but also the World Health Organization has a similar plan to tackle this disease. One of the prominent concerns to properly promote this programme is providing a rapid and accurate malaria diagnosis tool by applying the computer-aided diagnostics to minimize human errors. The aim of this study is to develop a colour microscopic image-based malaria detection using object counting and CNN-based machine learning. In this research, the HSV colour model with threshold values of H: 100-175, S: 100-250, and V: 60-190 was used to remove the image background. There are three machine learning schemes implemented in this study, i.e. original image using RMSProp optimizer, segmented image using RMSProp and Adam optimizer. The highest training and validation accuracy of CNN were obtained using a segmented image scheme by the RMSProp optimizer, 0.9277 and 0.9438. On the contrary, object-based malaria detection has an accuracy of 93.78%. Furthermore, there are several considerations to determine the malaria detection method, i.e. accuracy, computational resources, and time. Even though malaria detection using object counting has an accuracy of 93.78%, lower than the accuracy of CNN validation, the computational resources and time required are much lower and faster. Therefore, this detection method is suitable for smartphone-based devices with low-middle end specifications.

Co-Authors Adi Pamungkas Aisyah Rahmawati Alamri, Sazili Mustofa Amani, Risca Andreas N, R Djoko Anggraeni, Ellya ANGGRAENI, RENI Ani Haryani, Ani Annas Alkhowarizmi Aprianti, Penti Arif Setiawan , Andi Aris Wahyu Murdiyanto Aritonang, Sovian Aryani, Wiwik Dyah Asep Ahmad Sopandi Asnani Asnani Aulia Safitri, Aulia Azdy, Rezania Agramanist Azzahra, Haliza Badriatin, Tine Bartolomeus Samho Bartoven Vivit Nurdin Beni, Muhammad Bernard Dehaan, Yeovan Naufal Chairunnisa, Devina Azzahra Chatarina Umbul Wahyuni Cristofer, Fernando Daulay, Okky Freeza Dede Hertina Dedet Erawati Denis Pramudia Putra Dermawijaya, Boyke Iskandarsyah Dewi Utami Dewi, Fitria Dewi, Manda Iska Eddy, Syaiful Elsa Efrina Elvi Yenie, Elvi Enggar Alfianto Erdyvania Apritrycia Etty Puji Lestari Fahruzi, Akhmad Faisal, Amir Fatmawati, Fatmawati Gifari, Muhammad W. Grahita Kusumastuti, Grahita Hadia Sukma, Yoga Hakim Santoso, Abdul Hamada Zein Hari Agus Sujono Hayatou Oumarou Heri Sutanto I Ketut Sutapa Ida Zahrina Imam, Asep Irwansyah, Defi Iskandar Mirza Janizal Jarwinda, Jarwinda Jayawarsa, A.A. Ketut Juhana, Riyadi Kadir Parewe, Andi Maulidinnawati Abdul Kholida, Putri Kisman, Zainul Laksono, Muharram Budi Latipah, Asslia Johar Madi, Madi Mahdi, Arisul Margianto, Tofik Marlina Marlina Mashud, Mustain Mega Iswari Miati, Iis Muhammad Nur Ihsan, Muhammad Nur Muhartini Salim Muslimin, Ahmad Novi Mustagfirin Mustagfirin Nabila, Laila Nova Resfita Nugroho, Widianto Nuhan, Hudan Khalish Nur Aida Wassi`atu Sakdiah Nurwijayanti Oscar Yasunari Pambudi, Wisnu Setyo Pingki Novita Berliana Priyanto, Rachmat Puji Astuti, Nur Rochmah Dyah Purwoko, Agus Putra, Fajri Profesio Putri Kholida Putri, Sherlyana Hardiyandeffi Rachmawati, Nurul Aisyah Raditia Fath Kharomatudzaky Rahmadi, Isnaini Rahmahtrisilvia Rahmahtrisilvia Rahman, Titik Khawa Abdul Rahman, Yusuf A. Ramayanti, Rizka Resfita, Nova Rio Febrianto Arifendi, Rio Febrianto Riyadl, Ahmad Ronny Durrotun Nasihien, Ronny Durrotun Rumondang, Rumondang Saadah, Neng Siti Nur Sabar Sabar Sdarmin Sudarmin, Sdarmin Sekar Ambarsari Sujatmiko Putri Sepiah Dwi Cahyani Setiawan, Agung W. Setiawan, Cahya Heru Siagian, Apriansyah Dharmawan Siburian, Marsudi siregar, umaiyu Siti Khumayah Sparingga, Daniel Sri Ernawati sri sudiarti Sudrajat, Deni Sulistyowati Sulistyowati Sumarmi Sunarno Supriyadi Supriyadi Supriyanto, Adolf Asih Susilo Susilo Sutikno Sutikno Syahputra, Ahmad Reynaldi Syahrizal Nasution Thahyo Subroto, Thahyo Triharjanto, Robertus Heru Umar Al Faruq Wahyuningtyas, Amalia Wibowo, Nanang Roni Widodo Widodo, Panut Y. H. Yogaswara, Y. H. YOSAN, R BAGUS Yulianti, Wayan Rifa Zaenal Arifin Zulmiyetri Zulmiyetri

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