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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Cakrawala Pendidikan JPTK: Jurnal Pendidikan Teknologi dan Kejuruan ELINVO (Electronics, Informatics, and Vocational Education) JOIN (Jurnal Online Informatika) Jurnal Pendidikan (Teori dan Praktik) JOURNAL OF APPLIED INFORMATICS AND COMPUTING SENTIA 2016 Jurnal Basicedu Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Computer Science and Informatics Engineering (J-Cosine) JTP - Jurnal Teknologi Pendidikan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Karinov JE-Unisla ILKOMNIKA: Journal of Computer Science and Applied Informatics TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Generation Journal Jurnal Teknodik Discovery : Jurnal Ilmu Pengetahuan Belantika Pendidikan Letters in Information Technology Education (LITE) Indonesian Journal of Instructional Media and Model Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat Didaktika: Jurnal Kependidikan Journal of Applied Data Sciences International Journal of Engineering, Science and Information Technology Best : Journal of Applied Electrical, Science and Technology Journal of Science and Education (JSE) IJORER : International Journal of Recent Educational Research Emerging Information Science and Technology International journal of education and learning Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan Jurnal Integrasi dan Harmoni Inovatif Ilmu-ilmu Sosial Jurnal Basicedu JP (Jurnal Pendidikan) : Teori dan Praktik Jurnal Ilmiah Edutic : Pendidikan dan Informatika Reflection Journal Research and Development in Education (RaDEn) JUSIFOR : Jurnal Sistem Informasi dan Informatika Jurnal Riset Rumpun Agama dan Filsafat JGK (Jurnal Guru Kita) Jurnal Inovasi Teknologi dan Edukasi Teknik Jurnal Pendidikan Islam Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal Electric Field IRDH International Journal of Technology, Agriculture and Natural Sciences (IRDH IJTANS) Energy: Jurnal Ilmiah Ilmu-ilmu Teknik

Syaad Patmanthara

Universitas Negeri Malang

Author-ID : 2590732

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 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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Ontology-Based Recommender Systems for E-Learning and Multimedia: A Systematic Literature Review Across Domains Riska, Suastika Yulia; Patmanthara, Syaad; Widiyaningtyas, Triyanna
Indonesian Journal of Instructional Media and Model Vol 7 No 2 (2025): Indonesian Journal of Instructional Media and Model
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/ijimm.v7i2.7405

The rapid expansion of digital content across various sectors has led to an overwhelming influx of data, highlighting the need for advanced recommendation systems. Traditional methods such as Collaborative Filtering (CF) and Content-Based Filtering (CBF) face limitations like data sparsity and the Cold Start problem, which affect the accuracy of recommendations. This study explores the use of ontologies in enhancing recommendation systems, aiming to overcome these challenges by providing a semantic framework for better item and user representation. A Systematic Literature Review (SLR) methodology was employed to analyze research from 2021 to 2025, focusing on the application of ontologies in e-commerce, healthcare, education, and employment. The findings demonstrate that ontologies improve recommendation relevance, diversity, and explainability, especially in addressing the Cold Start problem. However, challenges in implementation and interpretation remain. This research contributes to the field by emphasizing the potential of integrating ontologies with Knowledge Graphs (KG) and Graph Neural Networks (GNN) to create hybrid models that enhance the accuracy and transparency of recommendations, guiding future advancements in recommendation systems.

Human Computer Interaction dalam Sistem Pendataan Pasien: Berdasarkan Perspektif Ontologi, Epistemologi, dan Aksiologi Karaman, Jamilah; Patmanthara, Syaad
Reflection Journal Vol. 5 No. 2 (2025): Desember
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/rj.v5i2.3794

Human Computer Interaction (HCI) adalah bidang multi disiplin ilmu yang berfokus pada interaksi antara manusia dan sistem komputer, khususnya dalam sistem informasi kesehatan seperti sistem pendataan pasien. Artikel ini mengkaji HCI dalam konteks sistem pendataan pasien melalui pendekatan filsafat ilmu, yang meliputi 3 pendekatan yakni ontologi, epistemologi, dan aksiologi. Metode yang digunakan yaitu studi pustaka dengan menelaah literatur jurnal nasional dan internasional terkait HCI, sistem informasi kesehatan, dan filsafat ilmu. Hasil kajian menunjukkan bahwa secara ontologi, sistem pendataan pasien terdiri dari entitas pengguna, perangkat keras, perangkat lunak, antarmuka, serta data medis. Secara epistemologi, pengetahuan diperoleh melalui usability testing dan validasi data. Secara aksiologi, HCI memberikan manfaat berupa peningkatan efisiensi layanan, akurasi data, dan perlindungan privasi pasien. Dengan pendekatan filsafat ini, HCI dalam sistem pendataan pasien dipahami sebagai suatu sistem yang tidak hanya teknis, tetapi juga bermakna dan etis. Human-Computer Interaction in Patient Data Management Systems: An Ontological, Epistemological, and Axiological Perspective Human-Computer Interaction (HCI) is a multidisciplinary field focused on the interaction between humans and computer systems, especially in health information systems such as patient data management systems. This paper examines HCI within the context of patient data management systems through a philosophical framework that includes ontology, epistemology, and axiology. The methodology employed is a literature review, analyzing relevant national and international journals related to HCI, health information systems, and the philosophy of science. The findings indicate that, from an ontological perspective, a patient data management system consists of entities such as users, hardware, software, interfaces, and medical data. From an epistemological viewpoint, knowledge is acquired through usability testing and data validation. From an axiological standpoint, HCI brings benefits in terms of enhanced service efficiency, data accuracy, and patient privacy protection. With this philosophical approach, HCI in patient data management systems is understood not only as a technical phenomenon but also as a meaningful, valuable, and ethical system.

Ontologi, Aksiologi, dan Epistemologi Energi Baru Terbarukan Terhadap Smart City: Tinjauan Literatur Sistematis Alfarid Hendro Yuwono; Syaad Patmanthara; Aripriharta Aripriharta; Triyanna Widiyaningtyas; Nafi Isbadrianingtyas; M Ibrahim Ashari
Jurnal Riset Rumpun Agama dan Filsafat Vol. 4 No. 3 (2025): Desember: Jurnal Riset Rumpun Agama dan Filsafat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrafi.v4i3.7273

The development of digital technology and the Internet of Things (IoT) has transformed the paradigm of urban development towards the concept of a smart city based on data and connectivity. This study analyzes the nature of smart cities through three dimensions of the philosophy of science: ontology, epistemology, and axiology. From an ontological perspective, a smart city is understood as a complex entity consisting of physical, digital, social, and ecological systems that interact with each other to create efficient and adaptive urban governance. Epistemologically, knowledge in a smart city is obtained through the process of collecting, processing, and analyzing data from various IoT devices, sensors, and citizen participation, thereby producing new insights that support evidence-based decision-making (data-driven governance). From an axiological perspective, a smart city has ethical values and goals to improve the quality of life of its citizens, strengthen government transparency, maintain environmental sustainability, and promote inclusive social participation. Thus, this study asserts that the development of a smart city is not only technological but also has a philosophical foundation oriented towards a balance between efficiency, humanity, and sustainability.

Integrated Kinematic-Dynamic Modeling and Ontology-Based Design of a Two-Link Planar Robotic Manipulator Giri Wahyu Wiriasto; Patmanthara, Syaad; Sendari, Siti; Lestari, Dyah; Iqbal, Muhamad Syamsu
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 2 (2025): December 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i2.695

Integration of Social, Organizational, and Technological Factors to Improve the Effectiveness of Environmental Policies in Waste Management in Bima City Sri Sumanti, Endang; Prasetya, Didik Dwi; Patmanthara, Syaad
Emerging Information Science and Technology Vol. 6 No. 2 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v6i2.29171

Bima City faces serious challenges in waste management, characterized by low service covera- ge (53.16%), limited processing facilities, and low public awareness and participation. This study aims to comprehensively evaluate the waste management system in Bima City and formulate sustainable strate- gies by integrating social, organizational, and technological factors. The research approach is quantitative with Structural Equation Modeling (SEM) analysis of 200 respondents from the community, sanitation workers, and environmental managers. The conceptual model was developed by adapting the Human–Or- ganization–Technology Fit (HOT-Fit) framework and Sustainability Metrics dimensions that include po- licy, participation, community behavior, and infrastructure technology. The results showed that organizational factors and public policy significantly influenced the effectiveness of waste management (β = 0.36; p < 0.001). Community participation was the dominant factor with a di- rect influence on management effectiveness (β = 0.45; p < 0.001), while community behavior acted as a mediator between technology and system effectiveness (β = 0.32; p < 0.001). The Goodness of Fit value showed a statistically appropriate model (CFI = 0.957; TLI = 0.951; RMSEA = 0.039). This study empha- sized the importance of synergy between policy support, social participation, and technological infrastruc- ture in building a sustainable waste management system.

Integration of Knowledge-Based CNN Model for Breast Cancer Histopathology Image Classification Badri, Fawaidul; Patmanthara, Syaad; Zaeni, Ilham Ari Elbaith
ILKOMNIKA Vol 7 No 3 (2025): Volume 7, Number 3, December 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v7i3.801

This study examines the integration of a knowledge-based Convolutional Neural Network (CNN) model for breast cancer histopathology image classification through ontological and epistemological perspectives. Ontologically, the research focuses on the digital representation of histopathological breast tissue images as entities representing benign and malignant conditions, establishing a stable and comprehensive mapping of tissue morphological characteristics. Epistemologically, the study employs a deep learning approach using a CNN model to acquire and validate knowledge about cancer cell morphology patterns from image data, constructing robust epistemic claims regarding tissue differentiation. The BreakHis dataset comprises 7,909 images resized to 224×224 pixels that underwent preprocessing normalization and image augmentation to enhance data quality. The CNN model was designed with Adam and SAM optimizers, learning rates of 0.0001 and 0.003, and a three-epoch warm-up phase to maintain training stability. Experimental results achieved training accuracy of 0.8432, testing accuracy of 0.8481, AUC of 0.8318, precision of 0.8124, and recall of 0.8966, demonstrating excellent model performance in recognizing cancer tissue patterns without overfitting. The integration of this knowledge-based CNN model contributes theoretically to the advancement of artificial intelligence and biomedical science, while demonstrating practical relevance as a reliable decision-support system for breast cancer diagnosis.

The Effect of Project-Based Learning in the IPAS Project Subject on Students’ Employability Skills at State Vocational High School 1 Pasuruan Taufik Hidayat; Tuwoso Tuwoso; Syaad Patmanthara
Didaktika: Jurnal Kependidikan Vol. 14 No. 4 Nopember (2025): Didaktika Jurnal Kependidikan
Publisher : South Sulawesi Education Development (SSED)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58230/27454312.3308

This study investigates the effect of Project-Based Learning (PjBL) in the IPAS Project Subject on the employability skills of students at State Vocational High School 1 Pasuruan. The research was conducted to address the growing demand for vocational graduates who possess not only technical competencies but also essential employability skills such as communication, teamwork, problem-solving, critical thinking, adaptability, responsibility, and time management. A quasi-experimental one-group pre-test–post-test design was employed, involving 30 students selected through purposive sampling. Data were collected using an employability skills questionnaire, observation sheets, and a project assessment rubric. The results revealed a significant improvement in students’ employability skills after the implementation of PjBL. The mean pre-test score of 66.47, which indicated a moderate level of employability skills, increased to 82.63 in the post-test, placing students in the high category. Statistical analysis using a paired-sample t-test showed a significant difference between the pre-test and post-test scores (t = –14.872, p < 0.05), and the effect size calculation (Cohen’s d = 2.86) indicated a very large impact of the intervention. These findings demonstrate that Project-Based Learning is an effective pedagogical approach for enhancing employability skills in vocational education, particularly when integrated into interdisciplinary subjects such as IPAS within the Kurikulum Merdeka framework. Despite limitations related to the absence of a control group, the small sample size, and the short duration of implementation, this study provides empirical evidence supporting the integration of PjBL as a strategic method to strengthen students’ readiness for the world of work.

PEMANFAATAN TEKNOLOGI INFORMASI DAN KOMUNIKASI UNTUK PENGEMBANGAN PEMBELAJARAN MELALUI WEB SEKOLAH Patmanthara, Syaad
Jurnal TEKNODIK Jurnal Teknodik Vol. 10 No. 19, Desember 2006
Publisher : Pusat Data dan Teknologi Informasi Kementerian Pendidikan Kebudayaan, Riset dan Teknologi

Berbagai penemuan di bidang teknologi informasi dan komunikasi telah mengubah cara pandang manusia terhadap dunia termasuk di dalamnya dunia pendidikan. Peran serta teknologi informasi dan komunikasi dalam mendukung kegiatan dan aktivitas pembelajaran sehingga dapat mendukung sistem pendidikan dalam bentuk web sekolah yang nampaknya akan menjadi salah satu alternatif solusi bagi perkembangan kebutuhan pembelajaran di tanah air. Perubahan di era globalisasi sistem pendidikan dari yang sebelumnya bersifat manual dan konvensional, menjadi suatu sistem yang efektif dan efisien dengan dukungan teknologi informasi. Pengembangan Web sekolah akan mendukung proses pembelajaran berdasarkan teori pembebasan seperti â€œConstructivistâ€, yang telah merubah pola belajar â€œTeacherCentredâ€ menjadi â€œStudent-Centredâ€ dengan menciptakan budaya belajar mandiri siswa.

ALTERNATIF MEDIA KOMUNIKASI VISUAL DALAM PRAKTEK PEMBELAJARAN KESEHATAN DI PUSAT LAYANAN MASYARAKAT BERBASIS ICT Ashar, Muhammad; Patmanthara, Syaad
Jurnal TEKNODIK Jurnal Teknodik Vol. 14 No. 1, Juni 2010
Publisher : Pusat Data dan Teknologi Informasi Kementerian Pendidikan Kebudayaan, Riset dan Teknologi

Pembelajaran kesehatan di posyandu saat ini perlu dikembangkan guna mendukung program pemerintah menuju Indonesia sehat 2010 melalui konsep ICT (informatics Communication and Technology). Dukungan dari penyuluh atau pendamping kesehatan pada posyandu dengan memanfaatkan media pembelajaran dalam memberikan informasi kesehatan khusunya pada ibu dan anak pada posyandu melalui program telecenter, komuniasi visual dan hybrid e-learning dan e-health. Pendayagunaan resousce kesehatan pada posyandu dengan dukungan teknologi informasi akan memudahkan penyampaian informasi kesehatan secara tepat sasaran terutama mengenai informasi hidup sehat, Pertolongan keselamatan ibu dan anak, Pendidikan anak usia dini, Program keluarga berencana, Penyakit dan penanganannya serta kesehatan lingkungan.Pembuatan konten pembelajaran kesehatan diharapkan memiliki unsur pendidikan dengan konsep praktek pembelajaran berbantuan teknologi informasi yang diproduksi dalam bentuk CD interaktif, Video Animasi dan Website yang dapat di akses secara online. Dengan penerapan infomobilisasi diharapkan rekomendasi untuk melalukan perubahan minset pada teknik pembelajaran kesehatan di posyandu adalah salah satu upaya dalam mencerdaskan masyarakat sebagai bagian dari â€œICT for Societyâ€.

DEEP LEARNING-BASED CYBER PEDAGOGY MODEL TO IMPROVE 4C SKILLS (CRITICAL THINKING, COLLABORATION, CREATIVITY, AND COMMUNICATION) Maula, Putrinda Inayatul; Patmanthara, Syaad; Masyfa, Faiz Hilmawan; Sari, Heni Vidia; Hanifah, Nida; Rachman, Tegar Fatur
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.9334

The need to strengthen 4C skills (critical thinking, collaboration, creativity, and communication) in vocational high school (SMK) students in the digital era is becoming increasingly urgent. However, the integration of Deep Learning (DL) in the cyber pedagogy framework to address these challenges is still limited. This study aims to develop a deep learning-based cyber pedagogy model to improve the 4C skills of SMK students. The approach used is Research and Development (RD) with the prototype method through the stages of needs analysis, conceptual model development, validation, and dissemination. Preliminary analysis results show varying 4C skill profiles, with collaboration being the main strength (mean=3.13) followed by creativity (mean=3.08), while critical thinking remains the biggest challenge (mean=2.99). In addition, communication has the highest standard deviation (0.71), indicating a competency gap among students. The proposed model integrates DL to analyze student activities, such as written arguments, discussion interactions, and project originality, to generate adaptive and real-time feedback. Factors supporting the implementation of the model include the readiness of digital infrastructure, teachers' mastery of TPACK, and progressive institutional policies towards learning innovation. Conversely, the main challenges include limitations in AI literacy, resistance to pedagogical change, and issues of ethics and data security. This model offers a holistic approach that bridges pedagogy and advanced technology, creating personalized, collaborative, and data-driven learning. Thus, this research makes a strategic contribution to preparing highly competitive vocational school graduates who are relevant to the needs of the future digital industry.

Co-Authors A.N. Afandi Achmad Imam Agung Aditya Galih Sulaksono Agung Bella Putra Utama Ahmad Baihaqi Mas Ahmad Sahru Romadhon Aji Prasetya Wibawa Akhmad Solikin Al Mukafi, Muhammad Hamdan Alfarid Hendro Yuwono Amidatus Sholihat jamil Amrullah, Ahmad Khakim Angga Achmad Cholid Anidia Wulan Sari Anik Nur Handayani Anwar, Akhmad Syaiful Arie Wardhono Aripriharta - Arizia Aulia Aziiza Arsyillah, Nazhiroh Tahta Asfani, Khoirudin Ashar, Muhammad Ashar, Muhammad Asih Setiani Aya Sofia Mufti Ayuningtyas Kurniawati Azhar Ahmad Smaragdina Benti Gandisa Bramastya, Rista Carolina Sisca Djunaidi Daniar Wahyu Akbar Oktaviando Dendy Dewa Widjaya Putra Dhega Febiharsa Didik Dwi Prasetya Didik Nurhadi Dila Umnia Soraya Djoko Kustono Dyah Lestari Eddy Sutadji Eddy Triswanto Setyoadi Eddy Triswanto Setyoadi Ega Putriatama Eko Setiawan Eko Setiawan Ekohariadi Ekohariadi Elfia Najib Kholifiatin Evania Kurniawati Fachrul Kurniawan Fadli Hidayat, M. Noer Fahmi Efendi Yusuf Fandi Akhmad Kurniawan Fatmawati, Hefi Fawaidul Badri Ferdiansyah, Dodik Septian Fikha Rizky Aullia Firman Syahputra, Yohanes Dhimas Fitri Indra Kusumaningtyas Giri Wahyu Wiriasto Gülsün Kurubacak Hakkun Elmunsyah Hanifah, Nida Hanna Zakiyya Hari Putranto Harits Ar Rosyid Harmanto Harmanto Hartarto Junaedi Hary Suswanto Hermansyah, Winda Adelia Heru Wahyu Herwanto Hidayat, Manik I Made Sudana I Made Wirawan Ikhwan Arif Ilmam, Thirafi Imam Alfianto Indraswari, Martha Devi Isnandar Jayadi, Puguh Joumil Aidil Saifuddin Julfikar Mawansyah Karaman, Jamilah Kartika Candra Kirana Kholiqin, Sabrina Nabila Khusnul Hidayat Kurniawan, Rivan Adi Kurniawan, Singgih Adie Kurubacak, Gulsun Lailatus Sa’adah Lokapitasari Belluano, Poetri Lestari Luqman Affandi M Ibrahim Ashari M. Djunaidi Ghony M. Zainal Arifin M. Zainal Arifin Mahali, Mahali Manik Hidayat Manik Hidayat Marji Marji Maskur Maskur Massitta Massitta Masyfa, Faiz Hilmawan MAULA, PUTRINDA INAYATUL Meidy, Ria Devita Meidy, Ria Devita Mentari, Febiana Putri Moh. Afifullah Mohamad Ilham Mokh Sholihul Hadi Mubarok, Sulton Muhamad Syamsu Iqbal Muhammad Auva Romadhon Muhammad Hamdan Al Mukafi Muhammad Hudan Rahmat Muhammad Maulana Akbar Mukhamad Angga Gumilang Muladi Nafi Isbadrianingtyas Naimu Shudur Naurah Septi Anggraini Nia Arlika Nidhom, Ahmad Mursyidun Ningrum, Gres Dyah Kusuma Nunung Nurjanah Nur Aini Susanti Nur Eva Nur Hidayat, Wahyu Nur Hikmah Nurul Hidayati Odhitya Desta Oki Dwi Yuliana Perdana Putra, Muhammad Ricky Prasetyo, Wiji Dwi Prayoga, Adie Purnomo, Purnomo Putri Alivia Nabila R. Mahmud Sugandi Rachman Kurniawa Rachman Kurniawan Rachman, Tegar Fatur Rahajeng Kartika Sari Rahmadita Sugma Ryanti Rahmawati, Chusnia Ramadiani, Nanda Resta Rasif Nidaan Khofia Ahmadah Resti Pranata Putri Ria Devita Meidy Rinjani Alega Dio Saputra Rizal, Muhammad Fatkhur Rokhimatul Wakhidah Rudi Irmawanto Rumambi, Frendy Rocky Sakkinah, Intan Sulistyaningrum Sari, Heni Vidia Sari, Rahajeng Kartika Setyawan Aji Samudra Shofiyah Al Idrus Siti Munawaroh Siti Sendari Slamet Wibawanto Soenar Soekopitojo Sri Sumanti, Endang Suastika Yulia Riska Suci Lestari Sunu Jatmika, Sunu Suparji Suparji Sutapa, Yohanes Gatot Syamsul Hadi Syeh Umar Anggana Taufik Hidayat Titasari Rahmawati Tiya Nurul Khusna Tri Atmadji Sutikno Tri Wrahatnolo Triyana Widiyaningtyas Triyanna Widiyaningtyas Triyanna Widiyaningtyas Tuwoso Usman Nurhasan Wahyu Sakti Gunawan Irianto Waras Waras Yuli Sutoto Nugroho Yuliana, Oki Dwi Yuniardi, Gigih Dwi Yussi Anggraini Zaeni, Ilham Ari Elbaith Zulfikar, Nizam Muchammad

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