Article Per Year (5 Year)
p-Index From 2021 - 2026
5.576
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Komputer dan Informasi Civis: Jurnal Ilmiah Ilmu Sosial dan Pendidikan JPK (Jurnal Pancasila dan Kewarganegaraan) Indonesian Journal of Artificial Intelligence and Data Mining Pendas : Jurnah Ilmiah Pendidikan Dasar Martabe : Jurnal Pengabdian Kepada Masyarakat Jambura Law Review Academy of Education Journal PKn Progresif : Jurnal Pemikiran dan Penelitian Kewarganegaraan Community Empowerment Jurnal Pendidikan Jurnal Pendidikan PKn Innovative: Journal Of Social Science Research Jurnal Pendidikan Kewarganegaraan dan Politik Proceeding of International Conference on Humanity Education and Society Scientific Journal of Informatics International Journal of Mechanical, Industrial and Control Systems Engineering Al-Mabsut: Jurnal Studi Islam dan Sosial JUKEMAS : Jurnal Pengabdian Kepada Masyarakat Green Engineering: Journal of Engineering and Applied Science International Journal on Educational Issues (IJEI) Edumaspul: Jurnal Pendidikan Global Science: Journal of Information Technology and Computer Science Bhineka Tunggal Ika: Kajian Teori dan Praktik Pendidikan PKn Journal of Artificial Intelligence and Legal Technology Jurnal Pengabdian IPTEK
Suyahman Suyahman
Universitas Sugeng Hartono
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

Published : 40 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 40 Documents
Search

 1   2   3   4 
Trademark Logo Infringement Detection: A Threshold Determination Approach Using Bayesian Optimization and Siamese Neural Networks Muhammad Rifzal Alief Ramadhan; Stevano Wahyu Al'fandi; Egi Dio Bagus Sudewo; Suyahman Suyahman
Journal of Artificial Intelligence and Legal Technology Vol. 2 No. 1 (2026): February 2026
Publisher : Sah Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Trademark infringement detection is essential to prevent consumer confusion, particularly in the digital era where visually similar logos are widespread. This study proposes a similarity threshold determination framework using Siamese Neural Networks (SNN) combined with Bayesian Optimization to improve the accuracy of trademark similarity assessment. Logo images were collected from the Indonesian intellectual property database, preprocessed into a uniform format, and trained using a triplet loss approach. Bayesian Optimization was applied to determine the optimal similarity threshold, minimizing false positive and false negative classifications. The proposed model achieved an accuracy of 92.23%, with precision of 93.34%, recall of 91.44%, and an F1-score of 92.39%. The optimal threshold (0.200149) effectively balanced sensitivity and specificity, resulting in low misclassification rates. These findings demonstrate that integrating SNN with Bayesian Optimization provides a robust and legally relevant framework for trademark infringement detection, offering practical implications for strengthening intellectual property protection.
Enhancing Vocational Students’ Competencies through Dialogflow-Based Chatbot Training with Consistent Communication Style for Digital Branding Suyahman Suyahman; Ardy Wicaksono; Yulaikha Mar'atullatifah
Jurnal Pengabdian IPTEK Vol. 1 No. 1 (2026): February 2026
Publisher : Sah Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid adoption of artificial intelligence in digital services has increased the relevance of chatbot technology in customer service and digital branding contexts. However, vocational students often receive training that emphasizes technical functionality without sufficient attention to communication consistency and branding strategy. This community engagement program aimed to enhance vocational students’ competencies by integrating Dialogflow-based chatbot development with consistent communication style design to support digital branding. The program employed a practice-oriented training approach consisting of conceptual instruction, hands-on development, and reflective evaluation, involving vocational high school students as participants. The results indicate that participants demonstrated improved understanding of chatbot concepts, acquired foundational technical skills in Dialogflow, and developed greater awareness of communication consistency and brand voice in chatbot interactions. The integration of technical and communicative aspects contributed to more coherent and user-oriented chatbot designs. These findings suggest that community-based training models combining applied artificial intelligence and digital communication strategy can effectively support holistic competency development in vocational education and strengthen students’ readiness for contemporary digital service environments.
Strengthening the Role of Cyber Security for Students in Addressing Information Security Threats in the Era of Artificial Intelligence Taufik Iqbal Ramdhani; Dwi Utari Iswavigra; Deny Prasetyo; Yulaikha Mar'atullatifah; Ardy Wicaksono; Suyahman Suyahman
Jurnal Pengabdian IPTEK Vol. 1 No. 1 (2026): February 2026
Publisher : Sah Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid development of Artificial Intelligence (AI) has significantly transformed the digital ecosystem, particularly in the fields of education and information systems. While AI provides various benefits in supporting learning processes and digital services, it also introduces new challenges related to information security. The increasing use of AI-driven technologies has expanded the risk of cyber threats, including data breaches, phishing, malware attacks, and unauthorized access to personal and academic information. Students, as active users of digital platforms and AI-based applications, are among the most vulnerable groups facing these emerging risks. This community service activity aims to strengthen the role of cyber security for students in addressing information security threats in the era of Artificial Intelligence. The activity was conducted using a hybrid seminar model involving 48 students from Universitas Sugeng Hartono. The on-site session took place in Room 15 of Universitas Sugeng Hartono, Solo Baru, Sukoharjo, Central Java, while the speaker delivered the material online through Zoom on Thursday, January 29, 2026. The seminar focused on introducing fundamental concepts of Artificial Intelligence, emerging cyber threats, and the importance of cyber security awareness in digital environments. The results of the activity indicate a positive impact on students’ understanding and awareness of information security issues. Participants demonstrated high levels of enthusiasm, actively engaged in discussions, and raised critical questions related to the safe use of AI technologies and cyber security practices. Overall, this activity contributed to enhancing students’ digital literacy and emphasized the importance of cyber security as a key component in mitigating information security risks in the era of Artificial Intelligence.
Practice-Based Entrepreneurship Training Through Market Validation and Mentoring: A Community Engagement Program at Universitas Sugeng Hartono Suyahman Suyahman; Deny Prasetyo; Ardy Wicaksono; Dwi Utari Iswavigra; Yulaikha Mar'atullatifah; Ahmad Aufar Ribhi; Muhamad Wisnu Pangestu
Jurnal Pengabdian IPTEK Vol. 1 No. 2 (2026): May 2026
Publisher : Sah Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Entrepreneurship courses can become overly centered on concepts and business plans when students have limited contact with customers and market uncertainty. This article describes the implementation of a practice-based entrepreneurship training program for 24 students at Universitas Sugeng Hartono from May 14 to June 25, 2026. The program combined entrepreneurial-mindset orientation, business proposal development, preparation of marketing materials, direct market practice, weekly progress reporting, mentoring, and final reflection. A descriptive qualitative approach was used to organize evidence from proposals, progress reports, classroom observations, supporting documentation, and student reflections. The implementation produced a structured learning sequence that moved from opportunity identification to customer contact, feedback, and strategy revision. Market validation and minimum viable product concepts gave students a practical basis for testing assumptions before expanding a business idea. Weekly reports made activity, obstacles, and follow-up decisions visible, while mentoring sessions converted individual difficulties into shared problem-solving material. Because participant records were heterogeneous and did not provide a complete standardized outcome dataset, the program cannot support claims about causal effects, average revenue gains, or changes in entrepreneurial intention. Its contribution is an implementable model for connecting entrepreneurship concepts with customer-facing action and reflective mentoring. Future delivery should retain the practice cycle while adding common indicators, baseline and endline measures, and systematic reflection records
Framework for Circular-Economy Based Remanufacturing in Electrical and Electronic Equipment: A Case Study Approach Abdul Azis; Edwar Ali; Erlita Sulistiati; Rosalina Yani Widiastuti; Abdurrahman Abdurrahman; Suyahman Suyahman
Green Engineering: International Journal of Engineering and Applied Science Vol. 1 No. 1 (2024): January: Green Engineering: International Journal of Engineering and Applied Sc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v1i1.284

Abstract

E-waste has become a critical global issue due to the rapid growth of electronic product consumption and the environmental risks associated with improper disposal. Traditional disposal methods, such as landfilling and incineration, are no longer sustainable as they lead to environmental degradation, health hazards, and loss of valuable resources. In contrast, remanufacturing, a key component of the circular economy, offers a more sustainable solution. This study explores the effectiveness of remanufacturing as a strategy for e-waste management, focusing on its ability to reduce waste generation and improve material efficiency in the electronics industry. The research utilizes a case study approach, examining industrial-scale remanufacturing processes, including material input-output analysis to track resource flows and waste streams. The findings reveal a significant reduction in e-waste generation, with up to a 50% decrease in waste volume, and substantial improvements in material recovery, particularly in metals like gold and copper. Additionally, the study highlights the economic and environmental benefits of remanufacturing, such as cost savings and resource conservation. However, the study also identifies barriers to the widespread adoption of remanufacturing, including technological, financial, and regulatory challenges. The results underscore the potential of a circular-economy-based remanufacturing model as a sustainable solution for the electronics industry. The study calls for further research into improving remanufacturing technologies, enhancing policy frameworks, and expanding circular economy practices across various industries.
Carbon Neutral Industrial Process Optimization through Hybrid Machine Learning and Real Time Energy Efficiency Monitoring Framework Suyahman Suyahman; Ardy Wicaksono; Dwi Utari Iswavigra; Yogiek Indra Kurniawan; Very Dwi Setiawan; Dedi Setiadi
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 2 (2025): April : Green Engineering: International Journal of Engineering and Applied Sci
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i2.285

Abstract

Introduction: Achieving carbon neutrality in industrial systems is essential for mitigating climate change and promoting sustainability. The increasing demand for energy optimization and carbon emission reduction has driven the development of advanced technologies, particularly hybrid machine learning (ML) models. These models, combining ensemble learning and reinforcement learning (RL), offer significant promise in optimizing industrial processes, reducing energy consumption, and improving environmental performance. This study explores the application of hybrid ML models in achieving carbon neutral goals through dynamic process optimization and energy control in industrial settings. Literature Review: Hybrid ML models integrate different machine learning techniques to handle complex and dynamic environments effectively. Ensemble learning methods, such as boosting, bagging, and stacking, combine multiple algorithms to improve predictive performance and robustness. Reinforcement learning (RL), on the other hand, enables real time decision making and adaptation based on trial and error interactions with the environment. In energy optimization, these models are used to reduce energy intensity and carbon emissions, enhancing overall operational efficiency. Previous studies have demonstrated the effectiveness of ML models in energy management, but challenges such as data quality, model integration, and computational complexity remain. Materials and Method: The study applies hybrid ML models combining ensemble learning and RL to optimize energy consumption and minimize carbon emissions in industrial processes. Data from real time sensors and operational parameters are used to train the models. The ensemble learning component improves the accuracy of energy predictions, while RL ensures dynamic process adjustments in response to fluctuating energy demand. The models were tested in various industrial settings, including manufacturing processes, smart grids, and microgrid systems. Performance metrics such as energy efficiency, carbon emissions reduction, and operational costs were evaluated to assess the effectiveness of the models.  Results and Discussion: The hybrid ML models achieved significant reductions in energy intensity (15-20%) and carbon emissions (18-25%). The real time adaptability of the RL component allowed the models to adjust energy consumption patterns dynamically, improving energy efficiency and reducing waste. The models demonstrated their ability to adapt to varying operational conditions, ensuring optimal energy use. A cost-benefit analysis showed that the hybrid models provided substantial energy savings and reduced operational costs, with a return on investment (ROI) of 30-35% within the first year of deployment. However, challenges such as computational complexity and data quality issues were identified, highlighting the need for further refinement in model development.
PERANAN KARANG TARUNA DALAM PEMBENTUKAN CIVIC RESPONSIBILTY DI DUKUH NGOMBOL SARI DESA PALUR KECAMATAN MOJOLABAN KABUPATEN SUKOHARJO Oktaviana Dita Prasticha; Suyahman Suyahman; Ika Murtiningsih
PKn Progresif : Jurnal Pemikiran dan Penelitian Kewarganegaraan Vol 17, No 2 (2022): Jurnal PKn Progresif Volume 17 Nomor 2 Desember 2022
Publisher : Program Studi Pendidikan Pancasila dan Kewarganegaraan FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/pknp.v17i2.67187

Abstract

Penelitian ini bertujuan untuk mendeskripsikan peranan karang taruna dalampembentukan civic responsibility di Dukuh Ngombol Sari Desa Palur Kecamatan Mojolaban Kabupaten Sukoharjo, mendeskripsikan kendala-kendala yang dihadapi karang taruna dalam pembentukan civic responsibility di Dukuh Ngombol Sari Desa Palur Kecamatan Mojolaban Kabupaten Sukoharjo. Penelitian ini merupakan penelitian kualitatif dengan Teknik sampling kepada Karang Taruna Saras Muda yang dilaksanakan di Dukuh Ngombol Sari, Desa Palur, Kecamatan Mojolaban Kabupaten Sukoharjo. Teknik pengumpulan data menggunakan wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan peranan karang taruna dalam pembentukan civic responsibility yaitu mampu membentuk anggotanya agar mampu bekerja sesuai dengan hak dan kewajibannya, bekerja secara tulus dan ikhlas, dapat mengemban kepercayaan dari orang lain, mengakui kesalahan diri sendiri, dan mampu mengakui kelebihan orang lain. Kendala yang dihadapi karang taruna terdapat kendala eksternal dan internal, kendala eksternal yaitu terbatasnya biaya anggaran atau dari pemerintah desa untuk melaksanakan program kerja, sedangkan kendala internal yaitu kurangnya kesadaran remaja terhadap tanggung jawab atau kewajibannya yang berupa melaksanakan kegiatan pendidikan yang berorientasi pada pengembangan, menyelenggarakan usaha-usaha kesejahteraan sosial, menyelenggarakan kegiatan pemberdayaan masyarakat, sikap pasif remaja dalam kegiatan yang dilaksanakan Karang Taruna Saras Muda, misalnya tidak mengikuti kegiatan “nyinom”, kerja bakti, bakti sosial, dan sikap tidak acuh remaja terhadap tanggung jawab atau tugas yang diberikan seperti tidak menaati peraturan dalam organisasi, tidak mengikuti perkataan ketua karang taruna, dan lain sebagainya.Kata Kunci: Peranan, Karang Taruna, Civic Responsibility
PENINGKATAN MUTU PEMBELAJARAN PPPKn MELALUI PENDEKATAN PEMBELAJARAN AKTIF, BAHAGIA, ASYIK, HUMANIS, KREATIF DAN UNIK (ABAHKU) BAGI SISWA SMP NEGERI 1 BOYOLALI TAHUN PELAJARAN 2017-2018 Suyahman Suyahman
PKn Progresif : Jurnal Pemikiran dan Penelitian Kewarganegaraan Vol 14, No 2 (2019): Jurnal PKn Progresif, Vol. 14 No. 2 Desember 2019
Publisher : Program Studi Pendidikan Pancasila dan Kewarganegaraan FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/pknp.v14i2.42446

Abstract

Penelitian ini bertujuan mendeskripsikan peningkatan mutu pembelajaran PPPKn melalui pendekatan pembelajaran Aktif, , Bahagia, Asyik, Humanis,  Kreatif dan Unik (ABAHKU). Subjek penelitian ini adalah guru PPPKn Kelas VIIII  dan siswa Kelas VIIII Di SMP Negeri 1 Boyolali, dan objeknya Mutu Pembelajaran PPPKn dan Pendekatan Pembelajaran ABAHKU. Penelitian ini adalah penelitian kuaitatif, dengan menggunakan pendekatan kasus. Metode pengumpulan datanya: observasi, wawancara dan dokumentasi. Untuk mengetahui kevalidian data digunakan triangulasi data dan metode. Teknik analisis datanya menggunakan teknik analisis interaktif mengalir yang terdiri dari dari tiga tahap yaitu reduksi data, display data dan verifikasi data. Hasil penelitian menunjukan berdasarkan hasil observasi dan wawancara dari guru maupun siswa ditemukan hal-hal sebagai berikut; sebelum guru menggunakan pendekatan pembelajaran ABAHKU proses pembelajaran PPPKn terkesan tegang. Pembelajaran lebih didominasi guru, siswa kurang bergairah, pembelajaran berkesan monoton, siswa kurang berpartisipasi. Daya serap siswa kurang maksimal hal ini dibuktikan hasil tes formatif dari 35 siswa yang memenuhi KKM hanya 12 siswa dengan KKM 8,0 dengan nilai rata-rata kelas 7,85. Setelah guru menerapkan pendekatan pembelajaran ABAHKU terjadi perubahan yang signifikan baik kegiatan guru maupun siswa serta daya serap siswa. Dari hasil pengamatan dan wawancara yang peneliti lakukan ditemukan hal-hal sebagai berikut: proses pembelajaran  PPPKn menarik dan menyenangkan, partisipasi siswa sangat aktif, keberanian siswa menyampaikan pendapat cukup tinggi, kegairahan belajar siswa tinggi dan daya serap siswa tinggi hal ini dibuktikan dengan hasil tes formatif dari 35 siswa yang mendapatkan nilai di atas KKM ada 33 siswa dengan nilai rata-rata kelas 8,3. Kesimpulannya pendekatan pembelajaran ABAHKU dapat meningkatkan mutu pembelajaran PPPKn siswa Kelas VIIIIB SMP Negeri 1 Boyolali tahun pelajaran 2017-2018 Kata-Kata Kunci: Pembelajaran PPPKn dan Pendekatan Pembelajaran ABAHKU 
AKTUALISASI KETELADANAN GURU SEBAGAI UPAYA MEWUJUDKAN PENDIDIKAN BERKARAKTER DI SEKOLAH DASAR Suyahman Suyahman
PKn Progresif : Jurnal Pemikiran dan Penelitian Kewarganegaraan Vol 13, No 1 (2018): Jurnal PKn Progresif, Vol. 13 No. 1 Juni 2018
Publisher : Program Studi Pendidikan Pancasila dan Kewarganegaraan FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/pknp.v13i1.23266

Abstract

Penelitian ini bertujuan mendeskripsikan aktualisasi keteladanan guru sebagai upaya mewujudkan pendidikan berkarakter di Sekolah Dasar Negeri Pucangan 3 Kecamatan Kartasura Kabupaten Sukoharjo.  Subjek penelitiannya : guru dan siswa SD Negeri pucangan 3, objeknya keteladanan guru dan pendidikan berkarakter. Jenis penelitian ini , penelitian kualitatif dengan pendekatan deskriptif. Metode pengumpulan datanya: observasi, wawancara dan dokumentasi. Guna mengetahui validitas data digunakan triangulasi data dan metode. Teknik analisis datanya menggunakan teknik analisis interaktif mengalir yang terdiri dari 3 langkah yaitu reduksi data, display data dan verifikasi data. Hasil penelitian : berdasarkan hasil observasi dan wawancara ditemukan bahwa sikap, perilaku, dan perbuatan nyata guru menjadi contoh bagi para siswa di SD negeri pucangan 3. Karena itu guru diharuskan untuk bersikap, berperilaku dan berbuat yang baik terlebih dahulu sebelum memberikan saran dan nasehat bagi para siswa dalam bersikap, berperilaku dan berbuat baik di lingkungan sekolah, masyarakat maupun lingkungan keluarga. Khusus dalam lingkungan sekolah sikap, perilaku dan perbuatan guru harus dapat dicontoh oleh para siswa, misalnya cara berpakaian, cara minum, cara bicara/berkomunikasi, cara makan, dan lain-lain. Kesimpulannya bahwa keteladanan guru memiliki peran penting dalam mewujudkan pendidikan berkarakter di SD negeri Pucangan 3, Kecamatan Kartasura, Kabupaten Sukoharjo. Kata- Kunci: Aktualisasi Keteladanan  Guru dan Pendidikan Berkarakter
Adaptive Human Robot Collaboration Model Using Computer Vision and Intelligent Control for Flexible Manufacturing Workstations Deny Prasetyo; Suyahman Suyahman; Hadi Jayusman; Samsinar Samsinar; Nimas Ratna Sari; Mursalim Mursalim
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 2 No. 4 (2025): December :IJMICSE: International Journal of Mechanical, Industrial and Control
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v2i3.406

Abstract

The rapid development of modern manufacturing technology has driven the emergence of human-robot collaboration (HRC) as part of the transformation toward a human-centric intelligent production system. In collaborative work environments, robots are not only required to work efficiently but also to interact safely and responsively with operators. However, most conventional industrial robot systems still use rigid motion controls and are unable to dynamically adapt to human activity around them.This research aims to develop a human-robot collaboration system by integrating computer vision technology to detect operator movement and applying adaptive control algorithms to the robot manipulator. The research methodology includes designing a collaborative workstation, implementing a computer vision-based motion detection system, developing an adaptive control algorithm, and evaluating system performance through various experimental scenarios. Evaluation parameters include task completion time, safe distance, and system response time.The results show that the developed system significantly improves the efficiency and safety of human-robot interaction compared to conventional systems, with shorter task times, optimal safe distances, and faster system response to operator movements.
Co-Authors Abdul Azis Abdurrahman Abdurrahman Agus Wantoro Ahmad Aufar Ribhi Ahmad Jurnaidi Wahidin Albadri Albadri Albadri, Albadri Anggiratih, Endang Antoni Pribadi Anwar Fauzi, Muhammad Ardy Wicaksono Ardy Wicaksono Ardy Wicaksono Ardy Wicaksono Arfiani Nur Khusna Arfiani Nur Khusna Ayun Hapsari Bagas Dwi Yulianto Baso Intang Sappaile Dalimawaty Kadir Darmiati, Made Dedi Setiadi Deny Prasetyo Deny Prasetyo Deny Prasetyo Deny Prasetyo Dewi Maharani Rachmaningsih Dwi Utari Iswavigra Dwi Utari Iswavigra Dwi Utari Iswavigra Edwar Ali Egi Dio Bagus Sudewo Enos Lolang Erlita Sulistiati Faruq, Muhamad Febriyanti, Ainnur Guna, Bucky Wibawa Karya Guna, Buky Wibawa Karya Hadi Jayusman Hadi Widodo Hersiyati Palayukan Heru Widoyo Heru Widoyo Ika Murtiningsih Ika Murtiningsih Iswanto Iswanto Iswanto Iswanto Iswavigra, Dwi Utari Kadir, Dalimawaty Karimullah, Suud Sarim Kartini Marzuki Kurniawan, Yogiek Indra Made Darmiati Mahmudah, Himmatunnisak Mar'atullatifah, Yulaikha Marzuki, Kartini Mar’atullatifah, Yulaikha Miftachul Amri Mohammad Edy Nurtamam Mohammad Edy Nurtamam, Mohammad Edy Muh. Akbar Fhad Syahril Muhamad Furqon Muhamad Wisnu Pangestu Muhammad Adi Pratama Muhammad Rifzal Alief Ramadhan Murinto Murinto Murinto Mursalim Mursalim Mursalim Mursalim Mustofa Mustofa Nimas Ratna Sari Normansyah Normansyah Oktaviana Dita Prasticha Pardede, Ranat Mulia Prasetyo, Deny Pujiyana Pujiyana Pujiyana Puspasari, Novela Putri Qaedi Zihni, Faris Hazmi Rahayu, Maria Helena Sri Rahmah, Andi Ranat Mulia Pardede Salsabelia Ainaning, Nariswari Samsinar Samsinar Santosa, Tomi Apra Saut Parulian, Onesinus Sawitri Sawitri Sawitri setiawan, very dwi Siska Narulita Siti Fatimah Stevano Wahyu Al'fandi Sumardi, Mar'ah Sholikhah Sunardi Sunardi Sunardi Sutarto Sutarto Sutarto Sutarto Taufik Iqbal Ramdhani Tomi Apra Santosa Tomi Apra Santosa Trisnawan, Ahmad Budi ulfa, mutia Utari Iswavigra, Dwi Vinsensius Singgih Wahyu Putri Hasanah Waskito, Yohanes Saing Wicaksono, Ardy Wicaksono, Nicky Gilang Widiastuti, Rosalina Yani Widodo, Hadi Widoyo, Heru Yulaikha Mar'atullatifah Yulaikha Mar'atullatifah