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All Journal JURNAL PENELITIAN ILMU PENDIDIKAN Agrikultura Konselor Urania Jurnal Ilmiah Daur Bahan Bakar Nuklir Dentika Dental Journal Jurnal Bahan Alam Terbarukan Widyagogik : Jurnal Pendidikan dan Pembelajaran Sekolah Dasar Wahana Didaktika Penggunaan Media Sains Flipbook dalam Pembelajaran IPA di Sekolah Dasar JURNAL AGROTEKNOLOGI Majalah Kulit, Karet, dan Plastik IJIBE (International Journal of Islamic Business Ethics) Eksplorium : Buletin Pusat Pengembangan Bahan Galian Nuklir Jurnal Pendidikan Usia Dini Orbith : Majalah Ilmiah Pengembangan Rekayasa dan Sosial Kopasta: Jurnal Program Studi Bimbingan Konseling JOIV : International Journal on Informatics Visualization QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Animal Production : Indonesian Journal of Animal Production Sumatra Journal of Disaster, Geography and Geography Education Jurnal Organisasi Dan Manajemen DIKLUS: Jurnal Pendidikan Luar Sekolah Compiler Indonesian Journal of Medicine Cakrawala Dini : Jurnal Pendidikan Anak Usia Dini JURNAL PENDIDIKAN TAMBUSAI Aulad : Journal on Early Childhood ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Golden Age: Jurnal Ilmiah Tumbuh Kembang Anak Usia Dini Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Studi Guru dan Pembelajaran Jurnal Warna : Pendidikan dan Pembelajaran Anak Usia Dini Distilat: Jurnal Teknologi Separasi Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Teknik Informatika (JUTIF) MURHUM : JURNAL PENDIDIKAN ANAK USIA DINI Vocational : Jurnal Inovasi Pendidikan Kejuruan Abditeknika - Jurnal Pengabdian Kepada Masyarakat International Journal of Social Service and Research Jurnal Pengabdian Kepada Masyarakat ACTION : Jurnal Inovasi Penelitian Tindakan Kelas dan Sekolah Indonesian Journal of Multidisciplinary Science Society: Jurnal Pengabdian Masyarakat Jurnal Locus Penelitian dan Pengabdian Jurnal Riset Akuntansi dan Bisnis Indonesia Journal of International Conference Proceedings Digital Business Tren Bisnis Masa Depan Indonesian Research Journal on Education Priviet Social Sciences Journal Jurnal Pengembangan Potensi Laboratorium Central Community Development Journal Jurnal Medika: Medika Jurnal Pendidikan Anak Jurnal Pendidikan Progresif Eksplorium : Buletin Pusat Pengembangan Bahan Galian Nuklir IJoCE: Indonesian Journal of Counseling and Education
Prayitno Prayitno
State Polytechnic of Malang
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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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PENGARUH DOSIS TERPENTIN TERHADAP KUALITAS GUM ROSIN Widyastuti, Ervina Dewi; Prayitno, Prayitno; Prasetya, Desta Enggar Dwi
DISTILAT: Jurnal Teknologi Separasi Vol. 11 No. 3 (2025): September 2025
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/distilat.v11i3.7309

Abstract

Gondorukem (gum rosin) merupakan bottom product dari proses distilasi getah pinus sedangkan minyak terpentin adalah sebagai hasil distilat. Pada saat ini gum rosin yang dihasilkan oleh PT Inhutani V Unit Industri Trenggalek masih berwarna kecoklatan dan termasuk golongan kelas kedua (Window Glass) dengan skala Gardner ≤ 8. Beberapa upaya perbaikan warna telah dilakukan salah satunya dengan cara menambahkan asam oksalat. Namun demikian, dengan penambahan asam oksalat tersebut masih juga belum memenuhi kualitas gum rosin yang diharapkan. Penelitian ini bertujuan untuk mengetahui pengaruh penambahan dosis terpentin pada proses pencucian getah pinus terhadap kualitas gum rosin. Adapun tahapan penelitian ini antara lain: tahap awal persiapan, pelaksanan dan analisis. Tahap awal persiapan meliputi preparasi alat dan bahan, tahap pelaksanaan percobaan yaitu pemurnian getah pinus dan distilasi, tahap analisis yaitu meliputi nilai yield, color Gardner (warna), bilangan asam dengan metode titrasi, softening point (titik lunak) dan non-volatile. Variabel penelitian yang digunakan adalah variasi dosis terpentin yaitu  27,5 ; 30,5 ; 33,5% (b/b). Hasil penelitian didapatkan bahwa penambahan dosis terpentin pada pengolahan getah pinus dapat berpengaruhi terhadap kualitas produk gum rosin, dimana penambahan dosis terpentin 30,5% (b/b) dapat meningkatkan warna skala Gardner sebesar 8,1 yang termasuk golongan kelas ketiga (Nancy).
Deep Learning Models Performance for Classifying Dried Chili Based on Digital Image Analysis Yudantoro, Tri; Prayitno, Prayitno; Rizal Isnanto, Rizal; Djaeni, Moh
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.2919

Abstract

Artificial Intelligence and agriculture have been combined to create significant advancements in smart agricultural analysis that have improved both output and quality. This approach has completely changed conventional farming operations by utilizing image processing technologies. To assess the dryness levels of red chili peppers—a crucial component of crop quality and market value—the study set out to compare the efficacy of several CNN architectures. A dataset with 600 training images and 150 testing images spread over three classes was used to evaluate four CNN models (MobileNetV2, DenseNet121, InceptionV3, NASNetMobile). With a validation accuracy of 99%, DenseNet121 outperformed MobileNetV2 (which had a validation accuracy of 97%). The findings demonstrate how deep learning models can improve sorting procedures for agriculture by increasing accuracy and productivity. A scalable, impartial, and economical way to uphold crop standards and promote industry sustainability is by incorporating CNNs into the classification of agricultural products. The results of this study represent a breakthrough in the application of deep learning to agriculture, opening the door to automated systems that guarantee constant product quality. By optimizing yield and quality through image processing technology, the findings highlight the revolutionary influence of AI in smart agriculture. To increase production and improve competitiveness in the market, future research efforts may focus on developing automated sorting systems and further enhancing CNN models for agricultural applications. The research adds to the increasing corpus of work using AI in agriculture to enhance crop management and quality control.  
An Analysis of Children’s Visual Artworks Through Free Drawing in Children Aged 5–7 Years Prayitno, Prayitno; Harun, Harun; Syamsudin, Amir; Zubaedah, Siti
Golden Age: Jurnal Ilmiah Tumbuh Kembang Anak Usia Dini Vol. 10 No. 3 (2025)
Publisher : Program Studi Pendidikan Islam Anak Usia Dini, Fakultas Ilmu Tarbiyah dan Keguruan, UIN Sunan Kalijaga, Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jga.2025.103-09

Abstract

Children aged 5–7 years are in the preoperational stage of cognitive development. The problem that occurs in children of this age is that their ability to express their imagination through drawings is still limited. Previous research has not examined how visual expression emerges in early childhood drawings, particularly regarding drawing stages, object shapes, drawing duration, and sources of inspiration. This study aims to analyze the visual expression of drawings by children aged 5–7 years, focusing on drawing stages, object shapes, drawing duration, and sources of inspiration. This study used a descriptive qualitative method. The subjects were 70 kindergarten children in the Special Region of Yogyakarta. Data was collected through interviews, observation, and documentation, then analyzed using reduction, presentation, and conclusion-drawing techniques. The results showed that children's drawing process involves imagination, creativity, and storytelling. The most frequently drawn object was a butterfly, with the longest drawing duration being between 10–15 minutes. Most of the drawings were inspired by children's visual experiences. This study found that 61 children drew based on objects they imagined, while 9 children experienced difficulty expressing ideas visually. This research contributes to early childhood education by stimulating visual expression as a foundation for creativity in kindergarten learning. However, this study was limited to one region and a limited number of subjects, so it does not fully represent the cultural diversity of children. Future research can be conducted on a broader and more diverse range of subjects and children's drawings. Further research may also help children who have difficulty with visual expression.
Building Creativity Through Coding Activities of ScratchJr in Early Childhood Hardiyanti, Widya Dwi; Prayitno, Prayitno; Pamungkas, Joko
JURNAL PENDIDIKAN USIA DINI Vol 19 No 2 (2025): Jurnal Pendidikan Usia Dini Volume 19 Number 2 November 2025
Publisher : Program Studi Magister Pendidikan Anak Usia Dini

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jpud.v19i2.55194

Abstract

Creativity is an important aspect of early childhood development, but it is often not optimal due to the limited number of interesting and effective learning media. This study aims to describe the process of digital art activities through ScratchJr to develop creativity in early childhood. This study uses a qualitative approach with a involving 13 children aged 5-6 years at IT Nur Hidayah Kindergarten Surakarta. Data was collected through documentation, observation, and interviews. Data analysis uses the qualitative descriptive model of Miles and Huberman, which includes data reduction, data presentation, and conclusion or verification. The results of this study explain that digital art activities through ScratchJr, which uses digital technology media, can develop children's creativity through a simple coding process that is creative and fun. Children can freely express themselves with their creativity to create digital art projects through ScratchJr. Therefore, this ScratchJr media is recommended for early childhood learning to develop expression of creativity and imajination in children's art. Digital art activities are important to consider in early childhood learning, so that children can have a more optimal learning experience.
Media Loose Parts Cangkang Kerang dalam Menstimulus Kemampuan Berpikir Logis Anak Usia 5-6 Tahun Iryouw, Veronika; Rolina, Nelva; Prayitno, Prayitno
Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini Vol. 9 No. 6 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/obsesi.v9i6.7118

Abstract

Berpikir logis merupakan aspek penting dalam perkembangan kognitif anak, namun pada usia 5–6 tahun, kemampuan ini umumnya masih tergolong rendah. Tujuan penelitian ini untuk meningkatkan kemampuan berpikir logis anak melalui media cangkang kerang. Kegiatan penelitian dilakukan di PAUD Sesur dan PAUD Mahikay, dengan melibatkan 16 anak dan 4 guru sebagai subjek. Penelitian menggunakan metode kualitatif deskriptif, dengan teknik pengumpulan data yaitu observasi, wawancara, dan dokumentasi, yang dianalisis melalui proses reduksi, penyajian hingga penarikan kesimpulan. Aspek yang diteliti mencakup kemampuan mengelompokkan, membedakan warna, bentuk, dan jenis, menghitung, membentuk pola, menyusun berdasarkan ukuran, serta mengenal angka dan huruf. Hasil penelitian menunjukkan bahwa media Loose Parts dari cangkang kerang efektif dalam mengembangkan kemampuan berpikir logis anak usia 5–6 tahun. Temuan baru mengungkapkan bahwa cangkang kerang raksasa dan patahan landak laut raksasa (insur), yang dikenal secara lokal di Biak, dapat dimanfaatkan sebagai media pembelajaran yang aman, menarik, dan efektif di wilayah pesisir Papua.   
Application of MobileNetV2-Based Deep Learning in Detecting Diseases in Chili Plants Aji, Nurseno Bayu; Yudantoro, Tri Raharjo; Safitri, Zulfa; Kuntardjo, Samuel Beta; Mardiyono, Mardiyono; Prayitno, Prayitno; Santoso, Kuwat
Journal of INISTA Vol 7 No 2 (2025): May 2025
Publisher : LPPM Institut Teknologi Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v7i2.1825

Abstract

This study proposes a deep learning model based on MobileNetV2 architecture for the classification of chili leaf diseases using image data. The dataset was compiled from both public and private sources, covering six distinct categories of chili leaf conditions. MobileNetV2 was selected due to its efficiency and accuracy, making it ideal for real-time agricultural applications. The model was enhanced with additional layers to improve feature extraction and classification performance. Stratified 10-fold cross-validation was employed to ensure balanced evaluation across an imbalanced dataset. The experimental results showed an overall accuracy of 91.04% and an average F1-score of 0.906, indicating consistent and reliable classification performance across classes. Confusion matrix analysis highlighted strong predictive capability, particularly in detecting healthy leaves and severe disease symptoms, with minor misclassifications among visually similar categories. The findings confirm the potential of lightweight CNN architectures for practical, mobile-based agricultural diagnostics, contributing to advancements in precision farming and early disease management.
Environmentally Friendly Human Resources Management for Indonesia Gold 2045 Container Ports With Maximize Green HRD Port Amrullah, Romanda Annas; Moejiono, Moejiono; Imanto, Frenki; Arleiny, Arleiny; Rahkman, Rizqi Aini; Prayitno, Prayitno
Indonesian Research Journal on Education Vol. 4 No. 4 (2024): irje 2024
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v4i4.1467

Abstract

Container ports are one of the investment attractions, the busier the port, the more investment there will be and vice versa, but the success of a port is determined by good service. Environmentally friendly human resources of container ports determine performance improvement. This study uses a qualitative approach method, environmentally based human resources. the data collected is interpreted to produce a deeper understanding of the phenomena observed in the field. The data will then be constructed into themes that have significant meaning. The results of the study found a new concept of Maximize Green Hrd Port which was tested on the management of a container port in Indonesia.
Analisis Minat Bidang Penalaran Mahasiswa dalam Meningkatkan Prestasi Mahasiswa Chairunnisa, Nabila; Agustin, Faadhilah; Nuria, Aghna; Prayitno, Prayitno
Jurnal Pendidikan Tambusai Vol. 9 No. 2 (2025): Agustus
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i2.31526

Abstract

Penurunan minat mahasiswa dalam bidang penalaran menjadi perhatian penting karena berpengaruh terhadap prestasi akademik dan pengembangan keterampilan kritis. Penelitian ini bertujuan mendeskripsikan minat mahasiswa PG PAUD Universitas Negeri Yogyakarta dalam bidang penalaran serta hubungannya dengan prestasi akademik. Pendekatan yang digunakan adalah kualitatif dengan metode deskriptif, melibatkan mahasiswa aktif dari angkatan 2021 hingga 2023 sebagai sampel purposive sampling. Data dikumpulkan melalui wawancara mendalam, observasi, dan dokumentasi, kemudian dianalisis menggunakan teknik analisis interaktif Miles dan Huberman. Hasil penelitian menunjukkan bahwa minat mahasiswa terhadap bidang penalaran masih rendah, dipengaruhi oleh faktor waktu, kurangnya kepercayaan diri, dan persepsi bahwa penalaran bukan bidang yang menarik. Meski demikian, mahasiswa menyadari pentingnya kemampuan berpikir kritis untuk keberhasilan akademik dan kompetisi. Ditemukan pula hubungan positif antara minat penalaran dan prestasi akademik, serta hambatan utama berupa keterbatasan waktu dan pengalaman praktis. Kesimpulan, minat penalaran mahasiswa perlu ditingkatkan melalui program pengembangan yang lebih sistematis agar dapat mendukung prestasi dan kompetensi mahasiswa secara optimal.
Information Retrieval Related to Information Regarding Covid-19 Using Transformers Architecture Wiktasari, Wiktasari; Prayitno, Prayitno; Kartika, Vinda Setya; Lavindi, Eri Eli; Ardhana, Naufal Reky; Nariswana, Rucirasatti
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.2606

Abstract

The spread of the COVID-19 virus has occurred exponentially, necessitating advanced search technologies that provide accurate information. The primary challenge in searching for COVID-19 related information involves the diversity and rapid changes in data, as well as the need to understand specific medical contexts. Unstructured information sources, such as research articles, news reports, and social media discussions, add complexity to retrieving relevant and up-to-date information. As the volume of data and information related to the COVID-19 pandemic increases, there is a pressing need for effective and accurate information retrieval systems. Transformer architecture, known for its capabilities in natural language processing and managing complex contexts, offers great potential to enhance search quality in the healthcare domain. BERT is a deep learning model that performs searches based on specific queries, with search results sorted accordingly. The ranking process uses BERT architecture to compare the performance of transformer encoders, specifically between bi-encoders and cross-encoders. A bi- encoder is an architecture where two separate encoders process two different inputs, such as queries and documents. In contrast, a cross-encoder processes two texts simultaneously using a single encoder, allowing the model to capture contextual interactions between them. Research indicates that cross-encoder performance is significantly better than bi-encoder for cases with relatively small data sets. Evaluation results show that the NDCG score for bi-encoder is 0.89, while for cross-encoder it is 0.9. The mAP score for bi-encoder is 0.7, and for cross-encoder, it is 0.89. Both bi-encoder and cross-encoder achieved an MRR score of 1.0.
Implementation of Web-Based Marketing System Technology for Bakat Jaya MSMEs, Magelang Aji, Nurseno Bayu; Yudantoro, Tri Raharjo; Mardiyono, Mardiyono; Kurnianingsih, Kurnianingsih; Yanwari, Muhammad Irwan; Kuntarjo, Samuel Beta; Anif, Muhammad; Wiktasari, Wiktasari; Prayitno, Prayitno; Triyono, Liliek
Society : Jurnal Pengabdian Masyarakat Vol. 4 No. 3 (2025): Mei
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i3.571

Abstract

This study explores a digital transformation initiative implemented for UMKM Bakat Jaya, a micro-enterprise based in Magelang specializing in animal feed production. Initially hindered by limited market reach, low digital literacy, and a lack of integrated technological tools, the enterprise relied primarily on traditional social media platforms for promotion. To address these challenges, a comprehensive and user-friendly website was developed using WordPress, featuring a professional company profile, product gallery, contact information, and seamless integration with existing social media accounts. The project was executed in four key phases: needs identification, website design and development, training and mentoring, and implementation followed by evaluation. Remote interviews and surveys were conducted to assess the partner’s needs, while capacity-building activities empowered stakeholders to manage the digital platform independently. Preliminary outcomes indicate a substantial improvement in market visibility, customer engagement, and operational efficiency. The results highlight the potential of structured digital interventions to transform the promotional strategies of rural micro and small enterprises, offering a scalable and sustainable model for enhancing competitiveness in similar contexts.
Co-Authors A. Muri Yusuf A.A. Ketut Agung Cahyawan W Abdul Jami ABDUL MANAF Afrillia, Ellysa Rahma Agnes C Davinchi, Agnes C Agus Basukesti, Agus Agustin, Faadhilah Agustina, Nabilah Fauziah Agustiningsih, Rini Aji, Yuangga AL-FAIZI, M. Al-Kamel, Mujib Alrahman Almaidah Rs., St. Nur Amalia, Nabila Tasya Aminuddin Rizal, Aminuddin Amir Syamsudin Amron Amron, Amron Anas Anas, Anas Anatasya, Anatasya Anif, Anif Annisa Tsamrotul Fuadah, Puteri Annisa, Fitri Any Setyaningsih, Any Ardhana, Naufal Reky Ardiansyah, Septian Dicky Arief Rahmatulloh Arifiyanti, Nurul Arleiny, Arleiny Arrayyan, Ahmad Zaki Asalil Mustain B Subarjo, B Bambang Priyono Basuki , Bryliani, Fadya Haya Budi Murtiyasa Chairunnisa, Nabila Chen, Hsing-Chung Christiana Maria Herry Purwanti, Christiana Maria Herry Dattadewi Purwantini Dedi Andrianto Dewajani, Heny Dina Sukma Dwi Ningsih, Dwi Dwi Wahini Nurhajati, Dwi Wahini EA Rimbawanto, EA Eka Putra, Herman Estu Eka Sapti Cahyaningrum Eko Naryono Emiliana Kasmudjiastuti, Emiliana Endro Kismolo, Endro Fadhilah, Alya Nur Fadhli, Alfi Fahriah, Sirli Fanani, Fanisia Salsyabila Faniansyah, Adias Faris Nofandi Febrianto, Firman Fikri, Dimas R. A. Fitriana Tjiptasari Fitriyani, Rizki Putri Fitriyanti, Dini Fuadah, Puteri Annisa Tsamrotul Gunawan, Lieptiono Hadi Musthofa, Hadi Hadi Saroso Hafni Lissa Nuri Hafsah, Diana S. Hafsah, Diana Sayyidah Halim, Amran Handari, Herdianty Kusuma Hanum, Muthia Happy Lumbantobing, Happy Hardiyanti, Widya Dwi Hardjono Hardjono, Hardjono Haren, Hassan Ishag Hassan Hariyanto, Budi Hariyanto, Budi Hariyanto Harun Harun Heppi Sasmita Herman Nirwana Herminiwati Herminiwati, Herminiwati Hesti Hesti I Irawan, I Ibrahim, Muhammad Yasser Ida Mariati Hutabarat Ifrohayati, Ifrohayati Imanto, Frenki Irianto, Petrus Iryouw, Veronika Ismoyowati Isra, Fauzi Iswara, Mochammad Agung Indra Iswarayudha, Andik Jaka Susila Jamaris Jamaris Jaya, Yahya Jaya, Yahya Johana A. Rombang, Johana A. Joko Pamungkas Juliana Waromi, Juliana Karneli, Yenni Kartika, Vinda Setya Khalimatus Sa'diyah Kuntardjo, Samuel Beta Kuntarjo, Samuel Beta Kurnianingsih Kurnianingsih, Kurnianingsih Kusdianto, Kusdianto Kusuma, Rieza Mahendra Kusumaningtyas, Mei Lavindi, Eri Eli Lesmana, Lia Lie, Raudhatul Hasanah Luchis Rubianto3 Lusiani, Cucuk Evi M. Pancoko M. Y. Sumaryadi Maharani, Oktaviana Mahardhika, Dimas Kembara Mahben Jalil Mardiyono Mardiyono Maria Y.M.A. Sumakud Markamah, Markamah Marliyadi Pancoko Matondang, Anas Monandar Mega Fatimah Rosana Mita Prastika, Mita Mochamad Mufti Moejiono Moejiono Moh Djaeni mufid mufid Muflihah, Uun Muhammad Anif MUHAMMAD SHOLEH Muhibbin, Muhibbin Mukhlis, Syaiful Mukhlis, Syaiful Mukhlis Mulyani, Indah Muji Muthmainah Muthmainah Muthmainah Mutmainnah Mutmainnah Nariswana, Rucirasatti Nelva Rolina Netrawati, Netrawati Nono Carsono Nur Cholimah Nur Hayati Nur Khoirani, Alfina Nur Wachid Sahadi, Nur Wachid Nur Widiastuti Nurfarida Deliani Nuria, Aghna Nurrachma, Alifia Luzza Nurseno Bayu Aji, Nurseno Bayu Paniklan, Vastu Kayhan Sang Pernanda, Suko Tyas Prasetya, Desta Enggar Dwi Prasetyo Kusumo, Mahendro Pratama, Sakca Garda Prayogo, Imam Profiyanti Hermien Suharti Puji Ediari Suryaningsih, Puji Ediari Putra, Karisma Putri, Atma Gusti Amanda Putri, Eka Emiliana Putri, Priskila O. R Pratiwi, R Rahkman, Rizqi Aini Rahmadani, Riyan Rahmadhani, Nurindah Rahmat Hidayat Rahmawati, Hawa Yaumi Rahmiati Rahmiati Rani Raharjanti Rezmelia Sari Ridantami, Vemi Rina Sofiana, Rina Rina Wulandari Rizal Isnanto, Rizal Rohmaniah, Siti Romanda Annas Amrullah Ronilaya, Ferdian Rucita Ramadhana S Zubaidah, S S.N.O. Suwandyastuti Safitri, Zulfa Samsu Wasito Sandra Santosa Santi Novani Santika Sari Santosa, Naufal Adli Santoso, Kuwat Saputra, Muhammad Ghufron Eka Saputri, Sisca Meidina Saputri, Sisca Meidina Sari, Siska Difita Sensih, Dinda Gusti Sih Darmi Astuti siti zubaedah Sofyan karani, Sofyan Sri bandi, Sri Sri Budiasih, Sri Sri Rulianah, Sri Sri Sutyasmi, Sri Sri Wahyuni Sri Waskito, Sri Sudaryanti Sudaryanti Sugihartono Sugihartono Sulha, Balgis Suliestiyah Wiryodiningrat Sulistio, Any Sunardi Sunardi Suprapto Suprapto Sutama SUTRISNO Sutrisno, Sutrisno Syafitri, SIti Balqis Syarif Maulidin T Hartati, T T Hartatik, T Thomas Tukirin, Thomas Titik Purwati Widowati, Titik Purwati Tri Kurniati, Meutea Tri Raharjo Yudantoro Triyono, Liliek Utomo, Dian Purbo W Manalu Wahono Wahono Wahyu Sulistiyo Wakib Kurniawan Wicaksana, Darma Widyastuti, Ervina Dewi Wijayanti Putri, Aprillia Wiktasari Wiktasari, Wiktasari WT Artama, WT Yanti, Nurma Yanwari, M. Irwan Yanwari, Muhammad Irwan Yeni Karneli Yudantoro, Tri Yuliani Indrianingsih Yunia, Yessy Prisca Z. Mawardi Effendi Z., Dini Arina Fasa Zahroh, Nur Alfiatuz Zakiyyah, Dini A. F. Zulaihatun, Umi