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All Journal Jurnal Ilmu Pendidikan 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) Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan 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) Gelar : Jurnal Seni Budaya JTP - Jurnal Teknologi Pendidikan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Karinov ILKOMNIKA: Journal of Computer Science and Applied Informatics TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Generation Journal Jurnal Teknodik JPP (Jurnal Pendidikan dan Pembelajaran) 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 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 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 Jurnal Inovasi Teknologi dan Edukasi Teknik Jurnal Pendidikan Islam Jurnal Pengabdian Masyarakat dan Riset Pendidikan IRDH International Journal of Technology, Agriculture and Natural Sciences (IRDH IJTANS) Energy: Jurnal Ilmiah Ilmu-ilmu Teknik
Syaad Patmanthara
Universitas Negeri Malang
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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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

Abstract

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.
Paradigma Epistemologis Kompresi Data Teks: Huffman, Arithmetic, dan Neural Language Model Affandi, Luqman; Prasetya, Didik Dwi; Patmanthara, Syaad
JUSIFOR : Jurnal Sistem Informasi dan Informatika Vol 4 No 2 (2025): JUSIFOR - Desember 2025
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/jusifor.v4i2.8384

Abstract

This study explores text data compression as an epistemological paradigm through a comparative analysis of three fundamental approaches: traditional methods (Huffman Coding + LZW), bit-based methods (Arithmetic Coding), and machine learning approaches (Neural Language Models). Using the Project Gutenberg dataset comprising 15,000 classical literary works with a total size of 8.5 GB and 2.1-billion-word tokens, the evaluation is conducted based on compression ratio, execution time, and memory usage. The results reveal fundamental trade-offs among the paradigms. Traditional methods achieve the fastest execution (8.3 seconds/GB, 482 MB/s, 52 MB) with a compression ratio of 3.2:1. Arithmetic coding attains near-optimal performance (99.5% of the Shannon bound) with a compression ratio of 3.8:1. Neural language models yield the highest compression ratio of 4.6:1 but require substantially higher execution time and memory. The epistemological analysis highlights distinct conceptions of information—mechanistic, mathematically optimal, and semantic-aware—and provides a conceptual framework for developing adaptive compression systems.
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

Abstract

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.
Epistemological and Axiological Analysis of ResNet18-Based Dysgraphia Classification Kirana, Kartika Candra; Handayani, Anik Nur; Patmanthara, Syaad; Eva, Nur
Generation Journal Vol 10 No 1 (2026): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v10i1.27419

Abstract

Based on an ontological perspective, there is a gap in feature representation and in binary dysgraphia classification using ResNet18, an area that has not been explored simultaneously. Thus, our contribution is an analysis of research on dysgraphia classification using ResNet18 that employs epistemological and axiological approaches. ResNet18 was chosen as the backbone of the proposed framework because it has shortcut connections that can degrade residues into useless features. As a representation of new knowledge, ResNet18 was pre-trained on ImageNet. Classification was tested on challenging word assignments, comprising 145 dysgraphia images and 188 non-dysgraphia images. Epoch trials were conducted to find the best architecture. The results showed that ResNet18 at epoch 10 achieved the best performance in binary classification, with a recall of up to 93.55%. This indicates that ResNet18 is sensitive to recognizing dysgraphia classes. Challenges outlined in this study serve as a foundation for further research.
Development of a CNN-Based Knowledge System for Rupiah Currency Authenticity Detection and Nominal Classification Romadhon, Ahmad Sahru; Patmanthara, Syaad; Handayani, Anik Nur
Generation Journal Vol 10 No 1 (2026): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v10i1.27464

Abstract

The circulation of counterfeit money in Indonesia inflicts substantial losses on the public and financial institutions. Manual verification of money is inefficient and error-prone, especially during high transaction volumes, because counterfeit bills exhibit physical characteristics nearly identical to genuine currency. To uncover counterfeit notes, an ultraviolet lamp exposes invisible ink. This research employs the Convolutional Neural Network (CNN) to detect authenticity and classify Indonesian rupiah banknotes. The CNN is trained using images of authentic banknotes captured with a camera and ultraviolet light across various denominations. The system stores the images and trains the model to identify authenticity and denomination features. Experimental results demonstrate that the proposed approach achieves high classification accuracy in distinguishing genuine and counterfeit Rupiah banknotes, as well as in recognising their respective denominations. The testing phase introduces real notes exposed to ultraviolet light, producing images that reveal invisible ink patterns. The authenticity detection achieved a 100% success rate, while the denomination recognition rates were 70% for Rp. 5,000 notes, 80% for Rp. 10,000 and Rp. 20,000 notes, and 90% for Rp. 50,000 and Rp. 100,000 notes. The system’s overall success rate is 82%.
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

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (42.35 KB) | DOI: 10.32550/teknodik.v10i19.393

Abstract

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 “Constructivist”, yang telah merubah pola belajar “TeacherCentred” menjadi “Student-Centred” 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (185.478 KB) | DOI: 10.32550/teknodik.v14i1.451

Abstract

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 “ICT for Society”.
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

Abstract

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.
DIGITALISASI MATERI DAN MEDIA PEMBELAJARAN “ZAT DAN PERUBAHANNYA” BERBASIS MOBILE APPLICATION UNTUK MEMBENTUK KARAKTER HIDUP BERSIH PADA SISWA PROGRAM KEAHLIAN DESAIN KOMUNIKASI VISUAL Massitta, Massitta; Patmanthara, Syaad; Alfianto, Imam; Nurjanah, Nunung
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.v11i1.9398

Abstract

Penelitian ini bertujuan untuk menghasilkan produk berupa materi dan media pembelajaran yang layak dan efektif pada mata pelajaran Projek Ilmu Pengetahuan Alam dan Sosial (Projek IPAS) dengan topik "Zat dan Perubahannya", yang diintegrasikan secara inheren dengan nilai-nilai karakter hidup bersih. Penelitian ini menggunakan model penelitian dan pengembangan (Research and Development) 4D yang terdiri dari tahap Define, Design, Develop, dan Disseminate. Latar belakang penelitian ini adalah adanya kesenjangan antara tuntutan kompetensi teknis dan pembinaan karakter di Sekolah Menengah Kejuruan (SMK), serta kurangnya relevansi materi ajar sains dengan konteks keseharian siswa pada program keahlian Desain Komunikasi Visual (DKV). Subjek dari kegiatan pengembangan ini adalah siswa kelas X DKV di SMKN 1 Nguling. Produk yang dihasilkan berupa sebuah paket pembelajaran terpadu yang terdiri dari modul mini, video pembelajaran, Lembar Kerja Peserta Didik (LKPD), dan poster edukatif. Hasil validasi ahli dan uji coba terbatas menunjukkan bahwa produk yang dikembangkan sangat layak dan efektif untuk digunakan. Implementasi di kelas menunjukkan peningkatan antusiasme dan partisipasi aktif siswa, serta teramatinya perubahan perilaku positif siswa dalam hal kepedulian terhadap kebersihan lingkungan belajar. Dengan demikian, pengembangan media berbasis kontekstual ini terbukti tidak hanya mampu meningkatkan pemahaman kognitif siswa terhadap materi sains, tetapi juga efektif sebagai sarana internalisasi dan pembentukan karakter positif.
Co-Authors A.N. Afandi Achadiyah, Ana Nuril Achmad Imam Agung Aditya Galih Sulaksono, Aditya Galih Agung Bella Putra Utama Ahmad Sahru Romadhon Aji Prasetya Wibawa Al Mukafi, Muhammad Hamdan Alfarid Hendro Yuwono Amidatus Sholihat jamil Amrullah, Ahmad Khakim Angga Achmad Cholid 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 Ciptaningrum, Mega Satya 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 Eva, Nur 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 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 Lokapitasari Belluano, Poetri Lestari Luqman Affandi M Ibrahim Ashari M. Djunaidi Ghony M. Zainal Arifin M. Zainal Arifin Mahali, Mahali Marji Marji Maskur Maskur Massitta, Massitta Masyfa, Faiz Hilmawan MAULA, PUTRINDA INAYATUL Meidy, Ria Devita Meidy, Ria Devita Mentari, Febiana Putri Merinda Lestandy Moh. Afifullah Mokh Sholihul Hadi Mubarok, Sulton Muhamad Syamsu Iqbal Muhammad Auva Romadhon Muhammad Hamdan Al Mukafi Muhammad Hudan Rahmat Mukhamad Angga Gumilang Muladi Nafi Isbadrianingtyas Naurah Septi Anggraini Nia Arlika Nidhom, Ahmad Mursyidun Ningrum, Gres Dyah Kusuma Nunung Nurjanah Nur Aini Susanti 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 Kurniawan Rachman, Tegar Fatur Rahajeng Kartika Sari Rahmawati, Chusnia Ramadiani, Nanda Resta Rasif Nidaan Khofia Ahmadah Ratnasari, Novia Resti Pranata Putri Ria Devita Meidy Riyanto, Didik Rizal, Muhammad Fatkhur Rokhimatul Wakhidah Sakkinah, Intan Sulistyaningrum Sari, Heni Vidia Sari, Rahajeng Kartika Setyawan Aji Samudra Shofiyah Al Idrus Siti Munawaroh Siti Sendari Slamet Wibawanto Soenar Soekopitojo Sri Farida Utami 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