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Budi Murtiyasa

Universitas Muhammadiyah Surakarta

Author-ID : 580848

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Efektivitas Google Class Room Terhadap Kinerja Guru di Sekolah Menengah Kejuruan Mahdhuroh, Umi; Hindarto, Hindarto; Jasno, Jasno; Widiantoro, Rulli; Murtiyasa, Budi
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.9071

In the field of education, speed has become a vital factor in achieving objectives, including the improvement of teacher performance. Digital transformation in education has driven the adoption of various technologies, one of which is Google Classroom. In Vocational High Schools (SMK), which are oriented toward competency and job readiness, the integration of technology in learning has become an absolute necessity.This research aims to:1) Analyze the effectiveness of implementing a Learning Management System (LMS) in improving the performance of SMK teachers.2) Identify the obstacles faced by administrators and teachers in implementing Google Classroom. This study employs a Mixed Methods approach (quantitative and qualitative) with a descriptive design. Data collection was conducted using three methods: interviews, observations, and documentation (documents or texts). The results of this study found that the application of Google Classroom, when implemented optimally, can significantly improve administrative efficiency, the quality of lesson planning and execution, collaboration, and the teacher's ability to conduct assessments and evaluations. The primary challenges lie in infrastructure readiness, training, and a shift in mindset. The research concludes that Google Classroom is not merely a supporting tool but a catalyst for enhancing teacher professionalism in the digital era. It reveals that the comprehensive and optimal implementation of Google Classroom contributes significantly to improved teacher performance. Concrete benefits identified include: Increased administrative efficiency and material management. Enhanced quality of instructional planning and interaction. Easier collaboration among teachers and with students.Strengthened capabilities in diverse and data-driven assessments and evaluations. However, behind this potential, the study also identified several key challenges. These challenges are not only technical, such as infrastructure and network limitations, but also encompass human resource aspects, such as the need for continuous training and, most crucially, a change in mindset shifting from conventional methods toward a digital learning paradigm that is more collaborative and flexible.

Pemanfaatan Sistem Informasi Kesiswaan Berbasis Teknologi Informasi dan Komunikasi dalam Pengelolaan Data Administrasi Siswa di SMP Muhammadiyah Bligo Kabupaten Pekalongan Supriyadi, M. Yusup; Khikmah, Eni Nur; Murtiyasa, Budi; Masduki, Masduki
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.5667

The use of Information and Communication Technology (ICT) in school administration management is one of the strategic efforts to increase the effectiveness and efficiency of educational services. One form of ICT utilization is the application of student information systems in the management of student administrative data. This study aims to determine the effectiveness of the use of ICT-based student information systems in the management of student administrative data at Muhammadiyah Bligo Junior High School, Pekalongan Regency. This study uses a quantitative approach with a descriptive method. Data is collected through questionnaires given to education personnel who are directly involved in the management of student administration. The effectiveness indicators used include ease of data management, speed of access to information, accuracy and accuracy of data, and neatness and security of administrative archives. The data obtained was analyzed using quantitative descriptive analysis techniques by calculating the average score on each indicator. The results of the study show that the use of ICT-based student information systems at Muhammadiyah Bligo Junior High School, Pekalongan Regency is in the effective category. The student information system is able to facilitate the management of student administrative data, accelerate access to information, improve the accuracy and accuracy of data, and maintain the neatness and security of administrative archives. Thus, it can be concluded that the use of ICT-based student information systems plays an important role in supporting the improvement of the quality of student administration management in schools.

Systematic Literature Review: A Comparison of Clustering Methods in Data Mining Setyawan, Roni; Murtiyasa, Budi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 8 No. 1 (2026): Articles Research Januari 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v8i1.7333

Clustering is one of the fundamental techniques in data mining used to group data instances based on inherent similarities without relying on predefined labels. This technique plays a crucial role in numerous domains, including customer behavior analysis, pattern recognition, anomaly detection, bioinformatics, and many other applications that require a deeper understanding of hidden structures within data. Over the past decades, a wide range of clustering methods has been developed such as K-Means, DBSCAN, Hierarchical Clustering, density-based approaches, model-based clustering, and more recent algorithms that incorporate machine learning and deep learning paradigms. Each method offers distinct advantages and limitations and is suited for different data characteristics and analytical objectives. The SLR process includes identifying relevant articles, screening for quality and eligibility, extracting essential data, and synthesizing findings according to predefined systematic criteria. The primary aim of this review is to identify emerging research trends, understand methodological advancements, assess the performance of different clustering methods across diverse data contexts such as varying dataset sizes, noise levels, dimensionality, and cluster distributions and provide insights into the key factors that influence the selection of appropriate clustering techniques. The findings of this review indicate that no single clustering method consistently outperforms others in all scenarios. Certain algorithms may produce optimal results for low-dimensional datasets yet perform inadequately when applied to complex, high-dimensional data. Conversely, some methods are effective at identifying clusters with irregular shapes but require sensitive parameter tuning or exhibit higher computational costs. Therefore, the choice of clustering technique should be guided by the specific characteristics of the dataset, the objectives of the analysis, and evaluation criteria such as accuracy, computational efficiency, interpretability, and robustness to noise. Overall, this review aims to serve as a comprehensive reference for researchers, practitioners, and decision-makers in selecting the most suitable clustering method for their specific analytical needs. Additionally, the study highlights potential avenues for future research, including the development of hybrid algorithms, automated parameter selection techniques, and the integration of clustering with modern machine learning approaches to enhance performance and adaptability across various data environments

Heyzine Flipbook as a Learning Media: Development of a Digital Realistic Mathematics Education Module Amany, Azzah; Murtiyasa, Budi; Masduki
Kreano, Jurnal Matematika Kreatif-Inovatif Vol. 16 No. 2 (2025): Kreano, Jurnal Matematika Kreatif-Inovatif
Publisher : UNNES JOURNAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kreano.v16i2.22904

The high level of difficulty students face in mastering the concept of congruence, coupled with teachers' pedagogical constraints in presenting the material contextually, underlies the main objective of this research. This development research aims to produce and test an interactive digital module based on Realistic Mathematics Education (RME) as an effort to improve students' conceptual understanding of congruence material. The research method adopted the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation) with data collection using expert validation, student response questionnaires, and analysis of pretest-posttest results. The findings show that the developed module achieves high validity, practicality, and effectiveness criteria for use in mathematics learning. These results confirm that the integration of an interactive digital module based on RME is a significant solution in bridging the abstraction of mathematical concepts, while simultaneously advancing innovative and effective digital learning practices. Abstrak Tingginya kesulitan siswa dalam menguasai konsep kekongruenan, yang diiringi oleh kendala pedagogis guru dalam menyajikan materi secara kontekstual, melatarbelakangi tujuan utama penelitian ini. Penelitian pengembangan ini bertujuan menghasilkan dan menguji modul digital interaktif berbasis Realistic Mathematics Education (RME) sebagai Upaya untuk meningkatkan pemahaman konseptual siswa pada materi kekongruenan. Metode penelitian mengadopsi model ADDIE (Analisis, Desain, Pengembangan, Implementasi, dan Evaluasi) dengan pengumpulan data menggunakan validasi ahli, kuesioner respon siswa, dan analisis hasil pretest-posttest. Temuan menunjukkan bahwa modul yang dikembangkan mencapai kriteria validitas, kepraktisan, dan efektivitas yang tinggi untuk digunakan dalam pembelajaran matematika. Hasil ini menegaskan bahwa integrasi modul digital interaktif berbasis RME merupakan solusi yang signifikan dalam menjembatani abstraksi konsep matematika, sekaligus memajukan praktik pembelajaran digital yang inovatif dan efektif.

Problem Solving Ability According to Polya on System of Linear Equations in Two Variables Based on Student Learning Styles Budi Murtiyasa; Shinta Wulandari
Didaktik Matematika Vol 9, No 2 (2022): OCTOBER 2022
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jdm.v9i2.26328

The ability to solve mathematical problems can be said to be still low. Learning style is one of the factors that affect it. The purpose of the research conducted is to describe mathematical problem-solving skills based on learning styles. This research uses a type of research in the form of qualitative descriptive research. The subjects used were 3 students of class VIII with each having a different learning style. The selection of subjects for as many as three students in this study was on purposive sampling. This study used instruments in the form of questionnaires, tests, and interviews. The techniques used when analyzing data are to carry out the stages of data reduction, data presentation, and drawing conclusions. Checking the validity of the data using triangulation techniques. Troubleshooting using Polya steps. This study shows several results as follows: (1) subjects who have a visual learning style are able to understand problems, devise a plan, carry out the plan, and looking back, (2) subjects who have an auditory learning style are able to understand problems, devise a plan, carry out the plan, and looking back, and (3) subjects who have a kinesthetic learning style do not understand the problem, devise a plan, carry out the plans, and do not looking back.

Implementasi Deep Learning Berbasis Media Interaktif Pada Pembelajran IPAS Siswa Sekolah Dasar Hana Fatimah; Nining Setyaningsih; Fajar Sri Utami; Tutik Ernawati; Budi Murtiyasa
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.13691

The development of educational technology has encouraged the need for learning innovations that can improve conceptual understanding and student engagement, especially in science subjects in elementary schools. This study aims to analyze the effect of the implementation of interactive media-based deep learning on learning outcomes and student engagement in Grade IV students. The study used a quantitative approach with a one-group pretest–posttest design involving 30 students at MI Muhammadiyah Tahfidzul Qur'an. The instruments consisted of a learning outcome test and an activity observation sheet. Data analysis was carried out using a paired sample t-test and effect size calculation. The results showed a significant increase in learning outcomes, from 64.40 to 77.20 (t = -22.06; p = 0.000), and an increase in student activeness from 60.40 to 78.77 (t = -24.252; p = 0.000). The very large effect size values (d = 4.02 for learning outcomes and d = 4.24 for student activeness) indicate that the learning influence is very strong and practically meaningful. These findings confirm that interactive media-based deep learning is effective in improving academic achievement and active student participation, making it suitable for implementation as a learning strategy in the science subject in elementary schools.

Transformasi Kelas Digital dan Dampak Implementasi TIK terhadap Literasi Digital Pendidik: Pendekatan Mixed Methods Rumiyadi, Arif; Azhar, Roza Cyintia Salwa; Nurrahman, Yusuf; Fahrudin, Arif; Murtiyasa, Budi
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.9169

The gap between the rapid demands of digital transformation in education, which include the adoption of ICT-based learning, LMS, and the integration of Coding and Artificial Intelligence materials, and the reality of implementation challenges in the field. These crucial challenges include the availability and distribution of inadequate supporting facilities and infrastructure at all levels of education according to national standards, as well as the urgent need to improve teachers' digital competence and literacy so they can adapt and teach innovatively in the era of the Industrial Revolution 4.0. This study uses a qualitative approach as the basic methodological framework because this approach is considered the most relevant for understanding in-depth the phenomenon of Information and Communication Technology (ICT) implementation in the context of learning in schools. The data collection technique used is interviews, because this technique is considered the most effective for gathering in-depth information regarding teachers' experiences, views, and practices in implementing ICT in learning. The results of the study indicate that the systematic application of ICT and supported by continuous training can improve teachers' understanding, technical skills, and positive attitudes towards digital technology. This transformation also has an impact on the creation of a collaborative and adaptive learning culture in the classroom. This article recommends the importance of institutional policies that support the digital ecosystem so that teachers' digital literacy continues to develop in line with the demands of the technological era. The contribution of this research is expected to provide a deeper understanding of the challenges and opportunities of digital classroom transformation at the junior high school level, while also producing strategic recommendations based on empirical evidence for policymakers and education practitioners so that digital transformation can improve the quality of learning sustainably.

Development of Google Classroom Learning Management System-Based Mathematics Learning on Relations and Functions in Junior High School Miftahul Atiqoh; M Farhan Ainun Ihsani; Ulfah Zulaikha; Budi Murtiyasa
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 10 No 3 (2026): January
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v10i3.7720

This study develops a Google Classroom–based learning management system (LMS) for Relations and Functions in junior high school and examines its feasibility. The study used an R&D approach with the ADDIE model involving eighth-grade students and a mathematics teacher at SMP Muhammadiyah 5 Surakarta. Data were collected through observation, interviews, expert validation, and user-response questionnaires, and analyzed quantitatively and qualitatively. The results show high validity (material expert 93%; media expert 87%) and high feasibility (students 91%; teacher 97%). The novelty lies in a complete and structured LMS learning flow for Relations and Functions, integrating mapped topics, tiered activities, quizzes, discussions, and assignments supported by tools such as Quizizz, YouTube, GeoGebra, and Google Forms. Pedagogically, the LMS supports systematic concept learning, student engagement, and formative feedback in one coherent environment.

The Use of Artificial Intelligence in Higher Education Learning: A Systematic Review of Its Effectiveness and Challenges in Implementation Yozaga, Buana Tirta; As Zahro, Masithoh Afifah Nuraini; Adianingsih, Putri; Murtiyasa, Budi; Masduki, Masduki
Journal of Educational Sciences Vol. 10 No. 3 (2026): Journal of Educational Sciences
Publisher : FKIP - Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jes.10.3.p.852-860

This study aims to map trends in the use of artificial intelligence (AI) in higher education learning, examine its effectiveness, and identify key implementation challenges. A qualitative approach was employed using the Systematic Literature Review (SLR) method. Literature was collected from academic databases and platforms, including Google Scholar, Sinta, and DOAJ, covering publications from 2020 to 2025. Relevant national and international journal articles were selected using keywords related to AI, higher education, learning, effectiveness, and challenges. The selected studies were systematically analyzed through an SLR table and synthesized as primary data for the results and discussion. The findings reveal a significant increase in AI adoption, particularly generative AI, in higher education learning. AI is commonly used as a learning assistant, discussion facilitator, and support tool for assessment and academic administration. Its effectiveness is reflected in enhanced student engagement, learning autonomy, and institutional efficiency. Nevertheless, challenges persist, including ethical issues, limited AI literacy, infrastructure constraints, and the lack of adaptive regulatory frameworks. These results indicate that AI integration can improve educational quality when supported by clear policies and ethical governance.

Analisis Kesulitas Siswa Sekolah Dasar dalam Menyesesaikan Soal Statistika Nurjanah, Alya Rifa; Hartanti, ⁠Riska; Susanti, Desi; Ayuningsih, Tinaningrum; Murtiyasa, Budi; Setyaningsih, Nining
Jurnal Pendidikan Matematika : Judika Education Vol. 9 No. 1 (2026): Jurnal Pendidikan Matematika: Judika Education
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/b7tqj547

The study aims to identify the forms of students’ learning difficulties and the factors underlying them. This research employed a descriptive qualitative method involving seven sixth-grade students at SDN Tegalharjo, Surakarta. Data were collected through semi-structured interviews, classroom observations, and document analysis, and then analyzed using the Miles and Huberman model. The results indicate that most students have a good understanding of basic statistical concepts due to the contextual learning approach applied by the teacher; however, the main difficulties arise at the calculation stage, particularly in calculating the mean with decimal results and determining the median due to a lack of accuracy in ordering data. The factors contributing to these difficulties include limited arithmetic skills, low accuracy, and varying levels of learning support from families. Students’ learning motivation is relatively high, especially when the material is linked to real-life experiences and practical activities. These findings emphasize the need to strengthen basic numeracy skills, improve accuracy, and involve the learning environment to enhance elementary school students’ understanding of Statistics. Based on these findings, it can be concluded that improving elementary students’ understanding of Statistics should focus on reinforcing basic numeracy skills, accuracy in calculation processes, and synergy between contextual learning strategies and learning environment support. Keyword: Mathematics, Elementary School, Statistics.

Co-Authors Abdillah, Definka Puan Shalika Abdullah, Bayu Mukti Abidin, Nurul Adianingsih, Putri Aditya Rini Kusumaningpuri Adminanti, Risma Affendi bin Abdullah, Mohd Asrul Afifah Ma'rufi Agus Supriyoko Ahmad Ahmad Muhibbin Aisiyah Dewi Amini Ali Muckromin Almas Husna Nurul Lathifah Alqudsi, Zainab Amany, Azzah Ambawani, Cettra Shandilia Latunusa Aminuriyah, Siti Anam Sutopo Anatri Desstya Andriyani, Santi Anfa Muarif Wicaksana Ani Budiarti Anif, Anif Annisa Ratnaningsih Anton Adi Suryo Kusuma Anton Budi Nugroho ANWAR, MUHFIK Ardianzah, Erwin Ardies, Annisaq Arya Dani Rushertanto As Zahro, Masithoh Afifah Nuraini ASIYAH ASIYAH Asri Pujihastuti Aulia Nurul Azimmah Aulida, Alfian Nur Ayuningsih, Fitri Ayuningsih, Tinaningrum Azhar, Roza Cyintia Salwa Azimmah, Aulia Nurul Baehaqi Bambang Sumardjoko Bayu Kurniawan Bayu Mukti Abdullah Bayu Sapto Nugroho Bhismo Aji Wibowo Budiningsih Budiningsih Budiningsih, Budiningsih Cahyaning Fitria Prihutami Christina Kartika Sari Chyndia Bella Noor Rayyani D. S, Suprojo Damai Ari Kontesa Desi Susanti Dewi Mariastuti Khasanah Dewi Mitasari Dian Wahyuningsih Dimas Aditya Yudha Pradana Dinda Kestu Anayanti Djalal Fuadi Dwi Maryani Dwi Nurul Hidayah Dyah Arti Mumpuni Efi Miftah Faridli Eko Supriyanto Endang Fauziati Eni Restyowati ERNA WIDYASARI Faatin, Nisriina Amiirah Fahrudin, Arif Faizah, Indah Nurul Fajar Sri Utami Fajriati, Naili Faradita, Anna Nabila Fauzizah, Halimah Febrianti T. Lestari Febriyanti, Widhia Fitri Ayuningsih Fitri Wulandari Fitria Agustin Anisyawati Galih Albarra Shidiq Hakiki, Lintang Sunny Hakiky, Nur Hana Fatimah Harsono Harsono Harsono Harsono Harsono Hartanti, ⁠Riska Harun Joko Prayitno Hastuti, Erna Widiyah Hayuni, Argenti Agung Helzi Hengki Purnomo Heri Susanto Hernawan Sulistyanto Hesti Hesti Hidayah, Refiana Hidayati Zahro, Nurul Hindarto Husni Mubarok Ibharim, Laili Farhana Md Idawati Idawati Idfi Purnamasari Iim Fatimah iin wahyuni Indah Susi Irianti Indaryanti, Rosita Budi Indra Susanti Intan Kumala Dewi Ipung Purwati Irma Yuliana Isna Hidayat Isnaeni Umi Machromah Isnaini Isnaini Isnaini Maratus Sholihah Jannah, Ma'rifatul Janti, Janti Murdiani Jasno, Jasno JOKO SETIONO Jumadi Jumadi KARTIKA, SOFIA NUR Kayla Hajar Zahira Khairunnisa, Danik Martha Kharisma Yuli Noviana Khasanah, Nurul Uswatun Khasanah, Siti Uswatun Khikmah, Eni Nur Khoiri Yahya Afifah Khoirun Nissa Febriyanti Sholikah Kontesa, Damai Ari Kusmayanti, Heni Kusuma, Thitha Meista Mulya Kusumaningpuri, Aditya Rini Kusyuliarto, K Laikha Listiyani Laili Etika Rahmawati Ledhisa Isna Aulia Lestari, Sri Lia Lilik Mustofiyah Lina Dwi Susanti Linda Roosdiana Permatasari Listiany, Listiany Luqmanul Hakim Luqmanul Hakim M Farhan Ainun Ihsani Ma'rifatul Jannah Mahdhuroh, Umi Malikah, Siti Markamah, Markamah Markhamah Masduki Maulida, Dini Wardani Mazwar Ismiyanto Mazwar, Mazwar Ismiyanto Mega Dwi Atikah Miftahudin Miftahul Atiqoh Mimin Vera Minsih Mohd Asrul Affendi bin Abdullah Muh Rifki Nugroho Muhammad Irvan Rosyadi Muhibbin, Muhibbin Muhroji Mursiti, Esthi Murwanto Setyo Nugroho Nahdhiyatunnisak Naomi Fahma Natami, Harindra Dina Nensi Desiana Purnamasari Ni'matillah, Rizka Nida Rifdatul Amalia Nina Mekalungi Nina Sofiana Nining Setyaningsih Nining Setyaningsih Nisra Wa Ode Nofi Animah Kusumastuti Noor Afifah Rachmawati Novelya Jacinda Elfareta Nugraha, Andre Eksaputra Nugroho, Afifah Hilmia Nugroho, Aviandri Cahya Nugroho, Muh Rifki Nur Cholidah, Nur Nur Hakiky Nur Karina Putri Muslikhah Sari Nuraini Alkhasanah Nurdhiyanto Nurjanah, Alya Rifa Nurrahman, Yusuf Nurrochman, Taufik Nurul Hidayati Nurul Qomariah Nuryati Nuryati Nuryati Nuryati Nuryati Oryza Riana Anggraini Patriana, Wendy Dian Prayitno Prayitno Puji Astuti, Wiewiek Purnawanto, Ahmad Teguh Purwati, Ipung Putri, Fitriati Indrasari R, Laili Etika Raden Mohamad Herdian Bhakti Rafika Dian Rahmawati Rahayu, Suwasti Ramadhani, Noti Armyta Ratih Kusuma Wijayanti Ratnaningsih, Annisa Restyowati, Eni Retno Megawati Retno Palupi Retno, Andriani Chondro ria maharani Rikana Sulistyaningrum Rini Budiwati Rita Dwi Nawanti Rita Pramujiyanti Khotimah Rizwatul Hasanah Rohmah, Indah Fitri Zakiyah rohmah, rohmah Roni Agus Subagyo Roni Setyawan Rosyida Hanifa Zara Rumiyadi, Arif Rusdijanto, Titania Alya Ryanjani Lila Anggraita Sabar Narimo Sabekti, Milan Safira Fitrianingrum Said, Che Soh Santosa, Yoga Tegar Sapto Widodo Sarlita Murdaningsih sarlita murdaningsih, sarlita Setyo Nugroho Shinta Wulandari Shofiyuddin, Muh. Sigit Haryanto Siti Aminuriyah Siti Fatimah Siti Halimah Siti Malikah Siti Uswatun Khasanah Slamet . Soekarno, Gustina Anugerahwati Sofyan Anif Soleh, M Nur sri lestari rahayu Sri Rejeki Sri Sunarjono Sri Sutarni Sri Wahyuni suhendar, uki Sukamto, Ika Sumiyarsi Sukasno Sukasno Sukirman Sukirman Sularsih Sulistiyowati, Nourma Ayu Sumadi Sumardi Sumardi . Sumardi Sumardi Sumardi Sumardi Sumarni, Yayuk Supriyadi, M. Yusup Susanti, Lina Dwi Sutama Sutopo, Anom Sutopo, Anom Syahdana, Farah Lafas Syakir Maghfuri Teguh Sumadi Suparwoto Cahyo Teguh Waluyo Tjipto Subadi Toyib, Muhamad Tri Anasari tri wahyuni Tutik Ernawati Ulfah Zulaikha Umi Fadlilah, Umi Umi Makhromah, Isnaeni Ummie Masrurah Utami, Ratnawati Tri Vivin Wulandari Wahyu Haspri Nur Taryanti Wahyu Triningsih, Wahyu Wahyudi Taufan Santoso Wahyuningrum, Hesty Wardani, Indah Kusuma Wati, Erna Hartika Wawan Suranto Wibowo, Bhismo Aji Wibowo, Eko Ari Widi Hayuningtyas Widiantoro, Rulli Widyastuti, Efa Winarti Winarti Winarti Winarti Wiwin Wulandari Wulan Fajar Setyorini Wulandari, Herlina Tri Wulandari, Tri Mitalia Endah Yati, Yuni Yozaga, Buana Tirta Yudhani, Ardheila Setya Yudianto Yudianto Yulia Maftuhah Hidayati Yuliana Luthfi, Fajra Yuni Yati Yunianto, Aan Yusuf Al Amin Zaenal Abidin Zanuba Riana Fitri Zikrul Alwi Zumrotun, Erna Zunan Azis

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