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All Journal Jurnal Simetris CAUCHY: Jurnal Matematika Murni dan Aplikasi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Sosioteknologi Jurnal Optimasi Sistem Industri Jurnal Ilmiah Teknik Industri Briliant: Jurnal Riset dan Konseptual PERFORMA : Media Ilmiah Teknik Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Technomedia Journal Jurnal INTECH Teknik Industri Universitas Serang Raya GERVASI: Jurnal Pengabdian kepada Masyarakat Journal of Robotics and Control (JRC) SEMAR Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) JENIUS: Jurnal Terapan Teknik Industri Indonesian Journal of Industrial Engineering & Management Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Prosiding Konferensi Nasional PKM-CSR Empowerment: Jurnal Pengabdian Masyarakat Andalas Journal of Electrical and Electronic Engineering Technology International Journal of Applied Sciences in Tourism and Events Applied Research in Science and Technology Indonesian Journal of Education Research (IJoER) Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Standardisasi International Journal of Science, Technology and Applications
Pringgo Widyo Laksono
Universitas Sebelas Maret
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities 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 Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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EEG-Based Analysis of Concentration with Shooting Accuracy and Precision in Archery Athletes: A Quantitative Correlational Study Ainun Rahmansyah Gaffar; Pringgo Widyo Laksono; Bambang Suhardi; Rahmaniyah Dwi Astuti; Minoru Sasaki
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 8 No. 2 (2026): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v8i2.284

Abstract

Archery performance as a precision sport is determined by a complex interaction between psychological and physiological factors. Concentration, as a crucial factor, can be objectively measured through electroencephalography (EEG) by detecting beta waves. However, current coaching practices disproportionately emphasize physical aspects while systematically ignoring concentration as a crucial psychological factor. Generally, studies assess performance through aggregate scores without distinguishing between two fundamental dimensions: accuracy and precision. This study aims to analyze the relationship between concentration levels measured through beta band power activity using EEG and shooting performance in archery athletes, focusing on shooting accuracy and shooting precision. This study offers empirical contributions about the relationship between concentration and two dimensions of shooting performance, develops a methodological validation that integrates EEG monitoring with smart bow technology, and establishes a practical foundation for developing concentration-based training programs in archery. The research subjects consisted of 12 novice archery athletes. EEG data were acquired with electrodes positioned at AF7 and AF8, monitoring beta band power during shot execution. Pearson’s correlation was used to analyze the relationship. The results showed a shot accuracy with an average score of 131.17, while precision showed an average SRD of 11.00 cm. Beta band power had a mean of 39.18 µV². Correlation analysis revealed a non-significant positive relationship between beta power and accuracy (r = 0.145, p = 0.652), as well as a non-significant negative relationship with precision (r = -0.327, p = 0.300). Study findings show that beta wave activity alone does not serve as a significant predictor of shooting performance in novice archers. However, the differential correlation pattern (positive for accuracy, negative for precision) confirms that these two dimensions are influenced by different psychophysiological mechanisms.
Systematic literature review: Perkembangan dan penerapan analisis sentimen dalam manajemen proyek Christa Dian Pratiwi; Retno Wulan Damayanti; Pringgo Widyo Laksono
JENIUS : Jurnal Terapan Teknik Industri Vol 7 No 2 (2026): JENIUS: Jurnal Terapan Teknik Industri
Publisher : LPPMPK - Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/jenius.v7i2.2242

Abstract

Media sosial menjadi ruang utama dalam mengekspresikan opini publik terhadap kebijakan pemerintah, termasuk kebijakan konversi kompor gas ke kompor induksi di Indonesia yang menimbulkan pro dan kontra. Meskipun analisis sentimen telah banyak digunakan untuk mengevaluasi persepsi publik terhadap proyek, belum terdapat kajian yang secara sistematis memetakan metode yang paling relevan untuk konteks kebijakan publik di Indonesia. Penelitian ini bertujuan untuk mengidentifikasi dan mengevaluasi pendekatan analisis sentimen dalam studi proyek sebagai dasar metodologis untuk penelitian lanjutan mengenai opini publik terhadap kebijakan kompor induksi. Penelitian menggunakan pendekatan Systematic Literature Review (SLR) dengan metodologi PRISMA terhadap 15 artikel terindeks Scopus periode 2016–2022. Analisis difokuskan pada pemetaan pendekatan metodologis dan pola penggunaannya. Hasil menunjukkan bahwa pendekatan berbasis leksikon dan machine learning, khususnya Support Vector Machine (SVM), merupakan metode yang paling dominan digunakan. Selain itu, Latent Dirichlet Allocation (LDA) sering dimanfaatkan sebagai metode pendukung untuk mengidentifikasi topik atau isu utama dalam data opini publik. Temuan ini menunjukkan bahwa kombinasi klasifikasi sentimen dan pemodelan topik menjadi pola metodologis yang paling umum dalam literatur. Penelitian ini berkontribusi dalam menyediakan pemetaan metodologis yang dapat menjadi rujukan bagi penelitian empiris mengenai analisis sentimen kebijakan kompor induksi di Indonesia.
Evaluating Risks in an Outcome-Based Education Assessment Information System: A Qualitative Case Study in Higher Education Olivia Wardhani; Pringgo Widyo Laksono
Indonesian Journal of Education Research (IJoER) Vol. 7 No. 3 (2026): June
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/ijoer.v7i3.2705

Abstract

Purpose of the study: This study aims to identify, categorize, and prioritize risks in an Outcome-Based Education (OBE)-based assessment information system related to learning outcome evaluation, Program Learning Outcomes–Course Learning Outcomes assessment processes, and institutional quality assurance implementation in higher education. Methodology: This study used a qualitative case study approach with the Project Management Body of Knowledge® Guide Sixth Edition Project Risk Management framework, Risk Breakdown Structure (RBS), and qualitative probability–impact matrix. Data collection methods included document analysis, direct observation, semi-structured interviews, prototype system review, and Program Learning Outcomes–Course Learning Outcomes mapping validation. Main Findings: Eighteen risks were identified across technical, data-related, operational, human resource, curriculum-related, and infrastructure categories. High-priority risks involved inconsistencies in Program Learning Outcomes–Course Learning Outcomes mapping and assessment weighting structures. Extreme risks included system integration limitations, developer dependency, and infrastructure readiness issues affecting learning outcome evaluation and assessment consistency. Novelty/Originality of this study: This study presents a structured qualitative risk analysis framework for Outcome-Based Education (OBE)-based assessment information systems by integrating educational evaluation perspectives with project risk management approaches. The study highlights how organizational, operational, and data-related risks influence learning outcome assessment validity and institutional quality assurance processes.
Predictive Model Approach to Enhancing Occupational Health Based on Safety Culture and Sustainable Technology in Environmental, Social, and Governance Anastasia Febiyani; Bambang Suhardi; Pringgo Widyo Laksono; Heru Prastawa
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 8 No. 9 (2025)
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v8i9.7675

Abstract

Introduction: Occupational safety and health (OSH) is a key pillar in creating a productive and sustainable work environment, especially in the high-risk manufacturing sector. As global demands for Environmental, Social, and Governance (ESG) principles increase, the integration of safety culture and sustainable technology is an important strategy to strengthen the protection of workers' health while supporting industrial sustainability. Method: A quantitative approach was used by distributing questionnaires to 200 workers from various categories of manufacturing industries. The analysis used included correlation tests, multiple linear regression, and scenario simulations of technological improvements and recycling efficiency of personal protective equipment. Result: The main variables analyzed were discipline in wearing PPE, consistency, reward-punishment, and the application of wearable technology and environmentally friendly PPE. The regression results show that the discipline of using PPE is the most significant factor in shaping occupational safety culture (p = 0.001). Although the technology and reward variables are not statistically significant, the simulation shows that increased investment in safety technology can accelerate the growth of safety culture and indirectly strengthen occupational health protection.The implementation of sustainability principles, such as the use of environmentally friendly PPE materials and recycling programs, is also proven to reduce the impact of industrial waste and contribute to the Environmental aspect of ESG. Conclusion: While lowering the effect of industrial waste, the simulation reveals that higher investment in technology and recycling efficiency might hasten the change of safety culture from reactive to proactive. This study theoretically expands the safety culture approach to be more predictive and sustainable under the ESG framework, so improving its sustainability. Practically, these results give a basis for industrial policies to create OSH strategies compatible with digital transformation and world sustainability goals.
Hazard Identification and Risk Assessment Using the HIRADC Framework in Travel and Tourist Activities at Mudal River Ecotourism, Kulon Progo, Yogyakarta Andri Daeng Masiki; Bambang Suhardi; Pringgo Widyo Laksono
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 9 No. 5 (2026)
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v9i5.9123

Abstract

Introduction: Safety?and security are important considerations for nature-based tourism, even more so if destinations are prone to disasters that reinforce the risk of transport, environmental and activity-related hazards. Kulon Progo, Yogyakarta’s Mudal River Ecotourism reflects these issues through the presence of steep and curving roads, unpredictable hydrometeorological conditions and insufficient safety facilities which together increase risk exposure during travel to?the destination as well as when executing activities at site. Methods: This research used a?qualitative case study approach that purposively juxtaposes the HIRADC framework with the DRR principles in a complex ecotourism context. Data were gathered through fieldwork, semi-structured interviews with managers, tourists and government organizations, document analyses; the risk assessment was based on the AS/NZS 4360:2004 standard considering probability (A–E) and?severity (1–5) scales. Results: The findings identified critical hazards along the travel route (landslides, slippery and narrow roads, brake failure on steep slopes, and interaction with village traffic) and within the tourism area (slipping on rocks, sinking in deep pools, being swept away by strong currents, falls from heights, structurally vulnerable bridges, and animal bites). Most hazards were classified as high risk, particularly those associated with aerial recreation and landslide-prone access, leading to the management of a layered control package that combines engineering measures, administrative procedures, tourist safety education, and community-based monitoring aligned with disaster risk reduction strategies. Conclusion: This study demonstrates how the application of the HIRADC framework and disaster risk reduction concepts can strengthen tourism safety governance in nature-based destinations exposed to geological and hydrometeorological hazards. The proposed safety management roadmap provides a practical reference for destination managers and policymakers and offers insights that can be applied to developing more resilient risk management models in similar ecotourism contexts.
PEMBERDAYAAN UPPKA MELALUI INOVASI TEKNOLOGI DAN DIGITALISASI UMKM UNTUK MENINGKATKAN KESEJAHTERAAN MASYARAKAT DI DESA PUCUNG Rudi Susanto; Wiji Lestari; Novemy Triyandari Nugroho; Sorja Koesuma; Rita Noviani; Pringgo Widyo Laksono; Herliyani Hasanah
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol. 10 No. 1 (2026): GERVASI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/gervasi.v10i1.10162

Abstract

Keterbatasan akses ekonomi masih menjadi tantangan utama di Desa Pucung, Kismantoro, Wonogiri, terutama bagi UPPKA Makarti Harjo yang bergerak di bidang produksi sirup empon-empon. Kegiatan Kosabangsa bertujuan untuk memberdayakan UPPKA melalui penerapan inovasi teknologi dan digitalisasi UMKM agar mampu meningkatkan efisiensi produksi, tata kelola usaha, dan pemasaran berbasis daring. Inovasi teknologi dan digitalisasi berupa sistem informasi berbasis web, serta pemasaran digital melalui media sosial. Metode pelaksanaan menggunakan pendekatan partisipatif dengan tahapan identifikasi masalah, pelatihan, implementasi teknologi, dan evaluasi. Mitra UPPKA secara aktif ikut dalam kegiatan mulai dari tahap identifikasi masalah sampai evaluasi. Pada pelaksanan pelatihan evaluasinya mengunakan pre-test dan post-test. Hasil kegiatan menunjukkan peningkatan pengetahuan peserta sebesar 19,7%, dari rata-rata nilai pre-test 62,65 menjadi 75 saat post-test. Selain itu, disertai peningkatan kemampuan teknis dalam produksi higienis (GMP), pembukuan sederhana, serta pengelolaan pemasaran digital melalui media sosial. Program ini berhasil memperkuat kapasitas kelembagaan UPPKA dalam mengelola usaha secara mandiri dan berkelanjutan.
Implementasi Deep Learning Menggunakan Metode Convolutional Neural Network untuk Mendeteksi Kehalaln pada Kosmetik Hafsah Qonita; Pringgo Widyo Laksono; Yusuf Priyandari
Performa: Media Ilmiah Teknik Industri Vol 22, No 1 (2023): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.22.1.76650

Abstract

The growth rate of the cosmetics industry shows good development, reaching 9.39% in 2020. With so many cosmetic products in the market, consumers must be more careful in choosing the cosmetic products. In addition to the safety factor, the halalness of cosmetics also needs to be considered, especially for Muslim consumers. This research aims to create a halal detection model in cosmetics by implementing one of the deep learning methods, namely convolutional neural network (CNN). .Previous research has successfully created a halal detection model on Korean cosmetics using CNN with an accuracy rate of 95.56%. This research intends to develop previous research by adding classes and the number of datasets. CNN will be used to create a halal detection model in cosmetics by learning the input features in the form of the image of cosmetic ingredient to determine its halalness. Classification is done based on two classes, which are Halal and Shubhat. The results show that the CNN model gets an accuracy value of 98.66% with a loss of 0.0615 in classifying the halalness of cosmetics. Model testing using the testing dataset gets an accuracy value of 98.67%. The F1-score value in each class is 98.66% for the halal class and 98.67 for the shubhat class. The CNN model that has been created is appropriate because it shows high accuracy and low loss on training, validation, and testing data without experiencing overfitting or underfitting,
Penerapan Sistem Kontrol Kualitas dengan Mengunakan Model CNN Transfer Learning VGG 19 pada Inspeksi Kain di Industri Tekstil Nauval Hernandoko; Pringgo Widyo Laksono; Cucuk Nur Rosyidi
Performa: Media Ilmiah Teknik Industri Vol 23, No 2 (2024): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.23.2.86589

Abstract

Industri tekstil dan produk tekstil (TPT) merupakan salah satu industri tertua di Indonesia. Tujuan industri ini dibangun awalnya yaitu untuk memenuhi kebutuhan dalam negeri dan ekspor. Kualitas produk dan produktivitas merupakan menjadi kunci keberhasilan sistem produksi dalam dunia industri. Hasil produk atau jasa yang memiliki kualitas tinggi menjadi faktor utama agar industri tersebut dapat bersaing dalam bisnis serta prospek jangka panjang. Adanya kontrol kualitas secara otomatis akan membantu dalam pekerjaan bagian inspeksi karena dalam industri tekstil proses inspeksi dilakukan tanpa teknik sampling sehingga kualitas inspeksi yang dilakukan manusia akan menurun seiring waktu inspeksi yang semakin banyak. Hasil dari penelitian ini yaitu model CNN VGG19 dapat dijadikan sebagai model untuk otomatisasi proses inspeksi yang dilakukan di industri tekstil karena akurasi testing yang mencapai 88% serta tidak terjadinya overffiting dalam proses training validation.
Pelatihan Pengenalan Dasar Produk Berbasis Kecerdasan Buatan untuk Membekali Siswa Sekolah Menegah Atas Solo Raya Menyosong Era Revolusi Industri 5.0 Pringgo Widyo Laksono; Cucuk Nur Rosyidi; Retno Wulan Damayanti; Wakhid Ahmad Jauhari; Eko Pujiyanto; Andreas Wegiq Adia Hendix; Era Febriana Aqidawati
SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Vol 14, No 2 (2025): November
Publisher : LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/semar.v14i2.94863

Abstract

Revolusi Industri 5.0 membawa dampak yang signifikan bagi masyarakat dalam berbagai aspek kehidupan, termasuk ekonomi, sosial, budaya, dan lingkungan. Meskipun demikian, pendidikan di Indonesia masih belum siap untuk beradaptasi dengan teknologi kunci dari revolusi ini, seperti kecerdasan buatan, energi terbarukan, dan keberlanjutan. Salah satu hambatannya adalah kurangnya fasilitas dan materi yang memadahi dalam pembelajaran. Oleh karena itu, sebuah pengabdian dilakukan untuk membantu sekolah- sekolah di sekitar UNS, khususnya SMA dan SMK di Solo Raya, dalam memulai pembelajaran berorientasi Revolusi Industri 5.0. Kegiatan pengabdian meliputi workshop, sosialisasi, pelatihan singkat, dan pemberian paket trainer. SMANRA dipilih sebagai sekolah pertama yang akan menerima pengabdian ini. Permasalahan yang dihadapi oleh SMANRA adalah kurangnya fasilitas yang memadahi dan sumber daya manusia yang belum menguasai dasar-dasar kecerdasan buatan dan internet of things. Solusi yang ditawarkan meliputi workshop dan sosialisasi tentang Revolusi Industri 5.0, serta pemberian paket trainer yang berisi perangkat keras, perangkat lunak, buku, dan materi pembelajaran terkait. Metode pelaksanaan kegiatan tersebut meliputi identifikasi kebutuhan, perencanaan kegiatan, pelaksanaan workshop dan sosialisasi, pemberian paket trainer, dan pendampingan teknis.Kata kunci : revolusi  industri 5.0, kecerdasan buatan, internet of things, inovasi, pembelajaran. 
Deep Learning Approach for Palm Oil Fresh Fruit Bunches Harvest Decision Yusuf Athallah Adriyansyah; Feri Adriyanto; Pringgo Widyo Laksono
Journal of Electrical, Electronic, Information, and Communication Technology Vol 7, No 1 (2025): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.7.1.100897

Abstract

The efficiency of palm oil harvesting is crucial to ensuring optimal yield and quality of fresh fruit bunches (FFB). Traditional manual harvesting methods often result in inconsistent outcomes due to human error and subjectivity in ripeness evaluation. This study proposes an intelligent, image-based harvesting decision system that utilizes Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) to automate the classification of palm oil FFB ripeness. High-resolution images of palm fruit are processed using Python-based frameworks (Google Colab 3.10.12, YOLOv8) to extract features such as color and texture, which are then used to train the CNN and SVM models. The system architecture includes stages for image acquisition, preprocessing, feature extraction, classification, and decision-making. Both CNN and SVM were evaluated for performance using accuracy, precision, recall, and F1-score. The experimental results demonstrated high classification accuracy, with CNN achieving an average of 0.97 and the highest result recorded at 0.89. The system significantly enhances harvesting decision accuracy and reduces dependence on manual inspection. This study demonstrates the viability of using deep learning and machine learning algorithms for real-time agricultural decision-making. The integration of CNN and SVM not only improves productivity but also contributes to sustainable practices by reducing waste and labor intensity. The proposed system offers a scalable solution that can be adapted for broader smart farming applications, supporting national goals of digital transformation and energy efficiency in agriculture.
Co-Authors Afgan Suffan Aviv Afif Hakim Afif Hakim Ahmad Rasyid Ibrahim Arsy Ainun Rahmansyah Gaffar Akbar Aditya Nugraha Anastasia Febiyani Andreas Wegiq Adia Hendix Andri Daeng Masiki Andri Daeng Masiki Anindya Rachma Dwicahyani Aqshal Raffa Sandito Aris Wahyu Nugroho Ashylla Maharani Assahda, Talitha Nabila Bambang Pujiasmanto Bambang Suhardi Bambang Suhardi Bambang Suhardi Bambang Suhardi Bambang Suhardi Bambang Suhardi Bambang Suhardi Bambang Suhardi Chrissandhi, Erico Sofyan Christa Dian Pratiwi CUCUK NUR ROSYIDI Daeng Masiki, Andri David Fu’ani Priadi Dionisius Johan Setiawan Dwicahyani, Anindya Rachma Edy Supriyono Eko Pujiyanto Eko Pujiyanto Emirsyah Muhaimin Engelbert Harsandi Erik Suryadarma Era Febriana Aqidawati Erina Annastya Octaviani Fakhrina Fahma Ferdinanda Pascha Hasian Feri Adriyanto Florentina Ardiani Wibowo Francisca Sestri Goestjahjanti Hafsah Qonita Hasanah, Herliyani Heru Prastawa Ilham Priadythama Ilham Priadythama Irwan Iftadi Isak, Mukhtar Adan Jafri Mohd Rohani Joko Triyono Joseph Muguro Kadita, Maria Khasanah, Alfia Makrifatul Kurnia Akbar, Agus Larasaty, Perwita Aura Lobes Herdiman Maria Kadita Minoru Sasaki Minoru Sasaki Mirwan Ushada Muhammad Syaiful Amri bin Suhaimi Nina Salsabila Sulistiani Novemy Triyandari Nugroho Olivia Wardhani Pramudya, Risang Ardi Toni Pujiyanto, Eko Rahmaniyah Dwi Astuti RAHMAWATI RAHMAWATI Ramadandhyna, Annisa Puja Raqibanul Hakim Ratna Wijayanti Daniar Paramitha Retno Wulan Damayanti Retno Wulan Damayanti Risang Ardi Toni Pramudya Riska Permana Sari Rita Noviani Rita Noviani Rizky, Dania Latifa Rizqy Widhianggitasari Rudi Susanto Rusydi, Muhammad Ilhamdi Safira Nariswari Setiadi, Haryono Siti Arifah Siti Nurlaela Sorja Koesuma Suhaimi, Muhammad Syaiful Amri Bin Sulistiani, Nina Salsabila Suryadarma, Engelbert Harsandi Erik Takaaki Iida Wakhid Ahmad Jauhari Waweru Njeri Wiji Lestari Yoseph Tri Minarto Yoseph Tri Minarto, Yoseph Tri Yoshan Ardhi Pratama Yusuf Athallah Adriyansyah Yusuf Priyandari