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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika Geo Media: Majalah Ilmiah dan Informasi Kegeografian JURNAL SISTEM INFORMASI BISNIS Jurnal Simetris Bulletin of Electrical Engineering and Informatics Jurnal EECCIS Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika International Journal of Advances in Intelligent Informatics Journal of Information System Jurnal Manajemen Pendidikan Journal of Applied Geospatial Information Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika Jurnal CoreIT Acta Pharmaciae Indonesia : Acta Pharm Indo Jurnal Ilmiah Matrik JMM (Jurnal Masyarakat Mandiri) Edukasi Islami: Jurnal Pendidikan Islam AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM KOMPUTIKA - Jurnal Sistem Komputer Jurnal Pascapanen dan Bioteknologi Kelautan dan Perikanan Spatial : Wahana Komunikasi dan Informasi Geografi DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Isema : Islamic Educational Management Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi PREPOTIF : Jurnal Kesehatan Masyarakat JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Indonesian Journal of Electrical Engineering and Computer Science Indonesian Journal of Islamic Education Studies (IJIES) Journal of Soft Computing Exploration International Journal of Computer and Information System (IJCIS) Journal of Educational Administration and Leadership (JEAL) Journal Computer Science and Informatic Systems : J-Cosys Journal Of World Science Teokristi: Jurnal Teologi Kontekstual dan Pelayanan Kristiani Jurnal Islam Nusantara SENTRI: Jurnal Riset Ilmiah SIENNA Jurnal Sintaks Logika (JSilog) Mandala of Health : A Scientific Journal Kartika: Jurnal Studi Keislaman International Journal of Multidisciplinary Approach Research and Science 'Asabiyah: Jurnal Pengabdian Hukum Jurnal Komplikasi Anestesi Scientific Journal of Informatics Indonesian Journal of Islamic Education Studies (IJIES) Jurnal Kefarmasian Indonesia Proceeding Of International Conference On Education, Society And Humanity Intelektual: Jurnal Pendidikan dan Studi Keislaman International Journal of Instructional Technology Journal of Software Engineering And Technology Jurnal Info Kesehatan Jurnal Pengabdian Masyarakat Multidisiplin
Adi Wibowo
STAI An-Nawawi Purworejo
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Integration of Random Forest, ADASYN, and SHAP for Diabetes Prediction and Interpretation Aulia, Hozana; Wibowo, Adi; Sutrisno, Sutrisno
Scientific Journal of Informatics Vol. 12 No. 2: May 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i2.24314

Abstract

Purpose: Diabetes is a chronic disease with a globally rising prevalence. Early detection of individuals at risk is essential to prevent long-term complications. This study aims to develop a diabetes prediction model that not only achieves high classification accuracy but also provides transparent explanations of the factors influencing its predictions. Methods: The study utilized the Pima Indians Diabetes Dataset, which contains clinical data from 768 female patients aged over 21. The methodology included data preprocessing (handling of missing values and feature engineering, such as the creation of Age_BMI and Glucose_BMI features), a 70:30 train-test split, class imbalance handling using the ADASYN technique, model development using the Random Forest algorithm with hyperparameter tuning via GridSearchCV, and model interpretability analysis using SHAP. Result: The proposed model achieved an accuracy of 79.2% and a recall of 85.2% on the test data. SHAP analysis revealed that Glucose, Age_BMI, BMI, and DiabetesPedigreeFunction were the most influential features in predicting diabetes. Furthermore, the SHAP heatmap indicated that individuals aged 30–50 years with obesity were at the highest risk. These findings align with existing medical literature, reinforcing the role of metabolic and age-related factors in diabetes development. Novelty: This study presents an integrative approach combining class balancing (ADASYN), classification (Random Forest), and model interpretability (SHAP) in a unified framework for diabetes prediction. It emphasizes the importance of transparent model interpretation for healthcare professionals, enabling not only predictive outcomes but also actionable insights into risk factors. The findings support future research opportunities, including the integration of lifestyle variables and external validation using real-world clinical data from diverse populations.
The Role of Big Data in Improving Educational Management Decisions in Madrasah Wibowo, Adi; Faridah, Ida; Nurmalasari, Ita
International Journal of Instructional Technology Vol 2, No 1 (2023)
Publisher : Universitas Nurul Jadid Probolinggo, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/ijit.v2i1.9323

Abstract

This study aims to explore the role of Big Data in improving educational management decisions in Madrasah. Using a qualitative approach with case studies, the research subjects include educational managers, teaching staff, and students. Data collection techniques consist of observation, interviews, and documentation, while data analysis includes reduction, presentation, and drawing conclusions. The results of the study indicate that the application of Big Data significantly improves educational management decisions through four main indicators: student performance analysis, learning personalization, operational efficiency, and trend prediction. Big data analysis allows management to optimize resource allocation, adjust teaching methods to student needs, and make more accurate data-based decisions. The application of Big Data also helps in identifying educational trends and reducing waste, which ultimately improves the quality of education and operational efficiency. These findings underline the importance of data technology integration in designing more effective and result-oriented educational policies and strategies.
Use of Artificial Intelligence in Early Warning Score in Critical ill Patients: Scoping Review Ismail, Suhartini; Wardah, Zahrotul; Wibowo, Adi
JURNAL INFO KESEHATAN Vol 21 No 4 (2023): JURNAL INFO KESEHATAN
Publisher : Research and Community Service Unit, Poltekkes Kemenkes Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31965/infokes.Vol21.Iss4.1105

Abstract

Early Warning Score (EWS) systems can identify critical patients through the application of artificial intelligence (AI). Physiological parameters like blood pressure, body temperature, heart rate, and respiration rate are encompassed in the EWS. One of AI's advantages is its capacity to recognize high-risk individuals who need emergency medical attention because they are at risk of organ failure, heart attack, or even death. The objective of this study is to review the body of research on the use of AI in EWS to accurately predict patients who will become critical. The analysis model of Arksey and O'Malley is employed in this study. Electronic databases such as ScienceDirect, Scopus, PubMed, and SpringerLink were utilized in a methodical search. Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA SR) guidelines were utilized in the creation and selection of the literature. This analysis included a total of 14 articles. This article summarizes the findings on several aspects: the usefulness of AI algorithms in EWS for critical patients, types of AI algorithm models, and the accuracy of AI in predicting the quality of life of patients in EWS. The results of this review show that the integration of AI into EWS can increase accuracy in predicting patients in critical condition, including cardiac arrest, sepsis, and ARDS events that cause inhalation until the patient dies. The AI models that are often used are machine learning and deep learning models because they are considered to perform better and achieve high accuracy. The importance of further research is to identify the application of AI with EWS in critical care patients by adding laboratory result parameters and pain scales to increase prediction accuracy to obtain optimal results.
Spatial multi criteria evaluation sebagai pemodelan spasial untuk kesesuaian pengembangan kawasan permukiman di Bogor Raya Hadi, Marhensa Aditya; Putri, Niken Anissa; Shofy, Yuny Fikriyah; Gafuraningtyas, Dewi; Wibowo, Adi
Geomedia Majalah Ilmiah dan Informasi Kegeografian Vol. 21 No. 1 (2023): Geo Media: Majalah Ilmiah dan Informasi Kegeografian
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/gm.v21i1.55737

Abstract

Meningkatnya aktivitas antropogenik di suatu wilayah menyebabkan perubahan pada penggunaan lahan. Penggunaan lahan yang tidak memperhatikan kondisi fisik dan perencanaan yang matang dapat memicu terjadinya bencana dan dampak negatif lainnya. Oleh sebab itu, penentuan dan perencanaan penggunaan lahan yang sesuai peruntukannya perlu dilakukan secara tepat dan terukur. Metode Spatial Multicriteria Analysis (SMCA) dan Spatial Multicriteria Evaluation (SMCE) dapat membantu menentukan perencanaan kawasan salah satunya dalam studi kasus ini adalah pengembangan permukiman. Hasil dari penelitian ini dapat memberikan masukan dan rekomendasi akademis mengenai lokasi yang dapat diubah peruntukannya menjadi kawasan permukiman pada revisi tata ruang. Bogor Raya tidak mengalami penambahan penduduk yang signifikan sehingga kebutuhan mengenai lahan permukiman bukan menjadi hal yang mendesak, namun jika diperlukan pengembangan kawasan permukiman, didapatkan bahwa masih cukup banyak lokasi sesuai untuk digunakan sebagai permukiman, sebesar 42,4% dari Bogor Raya tergolong Sesuai, dan 25,8% tergolong Sangat Sesuai, dibandingkan peruntukan dalam rencana tata ruang yang dialokasikan sebesar 36,3% sebagai permukiman.
Comparison Of The Performance Of C4.5 And Naive Bayes Algorithms For Student Graduation Prediction baskoro, baskoro; Triraharjo, Bambang; Wibowo, Adi
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 9, No 2 (2023): December 2023
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v9i2.24931

Abstract

Along with the development of technology, especially the development of increasingly large data storage. One organization that has large data storage is an educational organization. Educational organizations use data to obtain information, especially information about students. Student data has many attributes so that we can make predictions such as predictions of student performance, predictions of scholarship recipients and predictions of student graduation. Data mining methods in education are classified into five dimensions, one of which is prediction, such as predicting output values based on input data. From the results of the research conducted from the initial stage to the testing stage of the application of the C4.5 Algorithm, the accuracy results are higher than Naïve Bayes because in its classification stage, C4.5 processes attribute data one by one. The difference is with naïve Bayes which is influenced by the amount of data used, the comparison of the amount of training and testing data. The feasibility of the model obtained is supported by the high accuracy, precision, recall and AUC obtained from the two algorithms that have been tested. The C4.5 algorithm has an accuracy rate of 79.91%, 89.06% precision and 81.38% recall and an AUC value of 0.823. Meanwhile, Naïve Bayes has an accuracy rate of 76.95%, precision of 75.95% and recall of 98.38% and an AUC value of 0.838.Keywords: Graduation, Prediction, Data Mining, C4.5, Naïve Bayes
Enhancing Madrasas' Competitive Edge: The Power of Effective Governance Systems Cholid, Nur; Saepurohman, Aep; Ulumuddin, Imam Khoirul; Wibowo, Adi
JURNAL AL-TANZIM Vol 8, No 1 (2024)
Publisher : Nurul Jadid University, Probolinggo, East Java, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/al-tanzim.v8i1.7265

Abstract

This research aims to explore the factors that contribute to increasing the competitive advantage of educational institutions through implementing an effective governance system. A qualitative approach with a case study design was used in this research. The location of the research was MI Gedanganak and SD Hj. Isriati Moenadi, East Ungaran District, Semarang Regency. Data collection methods include observation, in-depth interviews, and document analysis. Data analysis was carried out thematically to identify governance patterns in the two educational institutions. The research results show that the two institutions, MI Gedanganak and SD Hj. Isriati Moenadi is included in the category that excels in its management. MI Gedanganak is recognized as having excellence in madrasa management, including curriculum, student, teaching staff, finance, and infrastructure management. Meanwhile, SD Hj Isriati Moenadi Ungaran is also known for its excellence in school management, including curriculum management, students, teaching staff, finances, and infrastructure. Both institutions use a holistic Islamic learning approach, emphasizing integrating Islamic concepts, knowledge, and skills. The implication of this research is to provide a deeper understanding of the governance practices of educational institutions and their contribution to increasing the competitive advantage of Islamic educational institutions.
STRATEGI MANAJEMEN KURIKULUM BERBASIS LIFE SKILL DI SEKOLAH LUAR BIASA Wibowo, Adi; Febriatul Khasanah, Qoidah; Aulia Kumala, Shofa
Jurnal Isema : Islamic Educational Management Vol. 9 No. 1 (2024): Jurnal Islamic Educational Management
Publisher : Laboratorium Jurusan S1 Manajemen Pendidikan Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/isema.v9i1.35016

Abstract

Penelitian ini membahas tentang bagaimana manajemen kurikulum berbasis life skill di SLB Negeri Purworejo. Tujuan penelitian ini adalah mendeskripsikan manajemen kurikulum berbasis life skill, yang meliputi: perencanaan, pengorganisasian, pelaksanaan, evaluasi, dan jenis-jenis life skill. Penelitian ini menggunakan metode pendekatan kualitatif deskriptif. Lokasi penelitian ini bertempat di Sekolah Luar Biasa (SLB) Negeri Purworejo. Subjek penelitian ini adalah Wakil Kepala bagian Kurikulum, Tim Kurikulum, Kepala Sekolah, dan guru sekolah. Teknik pengumpulan data penelitian ini menggunakan wawancara, observasi, dan dokumentasi. Teknik analisis data penelitian ini dilakukan dengan cara deskriptif kualitatif melalui tiga langkah yaitu, reduksi, display, dan verifikasi. Hasil analisis penelitian menunjukkan bahwa perencanaan kurikulum berbasis life skill di SLB Negeri Purworejo adalah baik, dilakukan dengan membuat tujuan jangka pendek, menengah, dan panjang. Pengorganisasian kurikulum berbasis life skill dilakukan melalui adanya surat keputusan mengajar bagi para guru, serta penyediaan sarana dan prasarana penunjang pembelajaran. Pelaksanaan dilakukan secara baik dengan adanya praktik life skill yang meliputi kecakapan personal, kecakapan komunikasi, kecakapan akademik, dan kecakapan vokasional. Evaluasi kurikulum dilakukan melalui tahap penilaian sikap, penilaian pengetahuan, dan penilaian keterampilan.
Strategi Manajemen Pendidikan Islam dalam Meningkatkan Mutu Hafalan Santri di Ma’had Tahfiz Vokasional Qolbi, Muhammad Syifaa’ul; Nurmalasari, Ita; Wibowo, Adi
Intelektual: Jurnal Pendidikan dan Studi Keislaman Vol. 15 No. 3 (2025): Intelektual: Jurnal Pendidikan dan Studi Keislaman
Publisher : Program Pascasarjana Universitas Islam Tribakti Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/ji.v15i3.8293

Abstract

This study examines the strategy of Islamic education management in improving the quality of students' Quran memorization at Ma'had Tahfiz Vokasional. The research focuses on analyzing the implementation of an integrated education model that combines Quran memorization with vocational education. Using a qualitative case study design, data were collected through participant observation, in-depth interviews, and document analysis. The findings reveal that improvements in students' memorization quality are achieved through an integrated curriculum management strategy with balanced proportions of tahfiz, vocational training, and character development. This strategy is strengthened by professional human resource management through selective recruitment and continuous capacity building for tahfiz instructors. The learning process is systematically managed by integrating classical and modern methods within a comprehensive, tiered system. A conducive learning environment is created through the implementation of Arabic language immersion (bi'ah lughowiyah) and the utilization of educational technology. A continuous evaluation system and a strategic partnership with parents support the entire process. The research findings indicate that integrating vocational education enhances memorization quality through intellectual refreshment mechanisms and by building students' self-confidence. This management model offers a new paradigm in tahfiz education that successfully balances spiritual excellence with contemporary social relevance.
Karakteristik Fisikokimia Hidrolisat Protein Ikan Selar (Selaroides sp.) Dengan Variasi Enzim Protease dan Papain Serta Penambahan Maltodekstrin Ningsih, Trisna; Wibowo, Adi; Silowati, Mintut; Mardiana, Siti; Abdillah, Junaedi; Purwaningsih, Endang; lakantina, Sherly; Darmadi, Darmadi; Sudrajat, Edi; Solikin, Solikin; Setiawati, Natalia Prodiana; Napitupulu, Romauli Juliana
Jurnal Pascapanen dan Bioteknologi Kelautan dan Perikanan Vol 20, No 1 (2025): Juni 2025
Publisher : Politeknik - Ahli Usaha Perikanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/jpbkp.v20i1.1147

Abstract

Ikan selar (Selaroides sp.) dengan protein tinggi 64.27% berpotensi sebagai hidrolisat protein ikan (HPI). Penelitian ini bertujuan untuk mengekstraksi HPI dari ikan selar dengan variasi jenis dan konsentrasi enzim protease dan papain guna mengetahui pengaruhnya terhadap sifat fisikokimia HPI yang dihasilkan. Penelitian dilakukan secara eksperimental dengan rancangan acak lengkap (RAL). Perlakuan yang dilakukan adalah formulasi A1 5% (b/v) enzim papain (Merck), aktivitas enzim 30.000 U/mg, A2 10% (b/v) enzim papain (Merck), aktivitas enzim 30.000 U/mg, B1 5% (b/v)enzim protease A komersil, aktivitas enzim 100.000 U/mg, B2 10% (b/v) enzim protease A komersil, aktivitas enzim 100.000 U/mg, C1 5% (b/v) enzim protease B komersil, aktivitas enzim 100.000 U/mg dan C2 10% (b/v) enzim protease B komersil, aktivitas enzim 100.000 U/mg. Ikan selar segar dilumatkan, dihidrolisis dengan enzim protease pada konsentrasi 5% dan 10% dalam fermentor pada suhu 55°C selama 5 jam, lalu di inaktivasi enzim pada suhu di atas 80°C selama 10-15 menit. Hidrolisat dikeringbekukan dengan penambahan maltodekstrin 10% sebagai filler. Formulasi C1 menghasilkan kadar protein tertinggi tanpa filler (90.27%), sedangkan formulasi A2 menghasilkan kadar protein tertinggi dengan filler (35.19%). Rendemen lumatan daging ikan mencapai 53.21%. Nilai kelarutan 95.50%, daya serap air 0.27 mL/g, daya serap lemak 1.7 mL/g, asam amino yang paling dominan adalah asam glutamat. Hasil penelitian ini memberikan wawasan penting dalam pengembangan produk HPI sebagai bahan pangan fungsional dengan nilai gizi tinggi.AbstractAs the second most biodiverse country in the world, Indonesia has a wealth of biological resources, including fishing by-products (HTS). A high-protein HTS (64.27% dry bases) that has the potential to be processed into value-added fish protein hydrolysate (HPI) is yellow stripe scad (Selaroides sp.). This study aimed to examine the impact of different protease types and concentrations on HPI physicochemical features, this study evaluated HPI from yellow stripe scad. A completely randomized design (CRD) was used in the experiment. The treatments consisted of formulations: A1 (5% (b/v) papain enzyme (Merck),enzyme activity 30.000 U/mg), A2 (10% papain (Merck), enzyme activity 30.000 U/mg), B1 (5% commercial protease A, enzyme activity 100.000 U/mg), B2 (10% commercial protease B, enzyme activity 100.000 U/mg), C1 (5% commercial protease B, enzyme activity 100.000 U/mg), and C2 (10% commercial protease B, enzyme activity 100.000 U/mg). Fresh yellow stripe scad was minced, hydrolyzed with 5% and 10% protease in a fermenter (5 hours,55 °C), followed by enzyme inactivation (10-15 minutes,80°C). The hydrolysate was freeze-dried with 10% maltodextrin as filler. Protein content, yield, and hydrolysis degree were among the factors that were tested. While formulation A2 had the highest protein level with filler (35.19%), formulation C1 had the highest protein content without filler (90.27%). Within the ideal processing range, the yield of minced fish was 53.21%. The solubility value is 95.50%, the water absorption capacity is 0.27 mL/g, the fat absorption capacity is 1.7 mL/g, and the most dominant amino acid is glutamic acid These results encourage the sustainable use of Indonesia’s fisheries resources by offering important insights for developing HPI as a high-nutrition functional food ingredient
Sistem Kendali Suhu Greenhouse Berbasis Arduino dengan Metode Histeresis dan Override Kelembaban Tanah Iin Yunita Sari; Wibowo, Adi
Jurnal Ilmiah Matrik Vol. 27 No. 3 (2025): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/bvtzmw70

Abstract

This study develops an automatic temperature control system for a mustard plant greenhouse in Madukoro Village using an Arduino-based controller implementing hysteresis temperature control and a soil-moisture override mechanism. The system integrates a DHT11 temperature–humidity sensor, an analog soil moisture sensor, an exhaust fan, and an active-LOW relay–driven sprinkler valve. The novelty of this research lies in the combined logic of a 27°C–26°C temperature hysteresis and an override mechanism that forces cooling to remain active when the soil is critically dry, even when the ambient temperature has not yet exceeded the 30°C upper threshold. The system was tested five times under varying environmental conditions. Experimental results show that the system successfully maintains greenhouse temperature within the 26°C–28°C range, reduces relay switching frequency by 86%, and significantly improves environmental stability. The test tables and temperature trend graphs demonstrate a consistent and adaptive system response to changes in both air temperature and soil moisture levels. 
Co-Authors Abdul Gani Adi Wibowo Agus Winarno, Agus Airawata, Chintya Puteri Akhmad Shaiful Bakri Akhmad Yun Jufan Amalia, Iza Nur Amir Amir Andre Leander Anggraini, Kurnia Anindya Wirasatriya Antikasari, Prisma Aprillia, Teya Aris Puji Widodo Ariyanti, Atika Astuty, Yulia Indri Aulia Kumala, Shofa Aulia, Hozana Baharun, Hasan Baskoro Baskoro, Baskoro Bayu Surarso Budi Warsito Budiman, Naufal Chin, Wei Hong Daimah Daimah Daimah, Daimah Darmadi Darmadi Diana Natalia Djayanti Sari Drihananto, Angga Dyna Marisa Khairina Edi Sudrajat eka rahmawati Endang Purwaningsih Evi Frimawaty Fajrul Falah, M Rizqi Faridah, Ida Febriatul Khasanah, Qoidah Firdonsyah, Arizona Gafuraningtyas, Dewi Gunanto, Sigit Hadi, Marhensa Aditya HENDRI WASITO Hening Pratiwi, Hening I Ketut Agung Enriko Iin Yunita Sari Imam Ahmad Ashari, Imam Ahmad Indra Jaya Indrajaya, Indrajaya Ita Nurmalasari Junaedi Abdillah, Junaedi Junta Zeniarja khusnul khotimah Khusnul Khotimah Kosasih, Eva Dania Kubota, Naoyuki Kumala, Shofa Aulia Kuncoro Adi Pradono Kurnianingsih Kurnianingsih, Kurnianingsih Kusworo Adi Lailiyah, Rosyidah Nur lakantina, Sherly Leni Leni Lily Puspa Dewi Lutfan Lazuardi Made Suadnyani Pasek Maori, Nadia Annisa Mardalena, Ayu Meila Sari Moh. Roqib Mohamad Madum Muhajir Muhajir, Muhajir Mulyani, Heny Muna, Angely Nafachatul Muslihatin Nurhasanah Nahri, Aisyah Chorijatun Napitupulu, Romauli Juliana Nia Kurnia Sholihat, Nia Kurnia Nisa’, Khoirun Noor Azizah Nugroho, Adam Nur Cholid, Nur Nur Farida Nur Hadian Nurmalasari, Ita Paramitha Putri, Nadya Pratomo, Bhirowo Yudho Purwanto Purwanto Putri, Niken Anissa Qolbi, Muhammad Syifaa’ul Rahmadi Rani Rubiyanti, Rani Ratih Permatasari Ribah, Muhammad Ato Ibnu Rini Nuraini, Rini Riyan Kurniawan Rizal, Himmatur Rofikatul Maula Roisu Eny Mudawaroch Rosyidah Rosyidah, Rosyidah Roziana Roziana, Roziana Saepurohman, Aep Shintiani, Selly Shofy, Yuny Fikriyah Silowati, Mintut Siti Mardiana Siti Nur Hasanah, Siti Nur Slamet Riyanto Solihat, Nia Kurnia Solikin Solikin Sri, Tovani subur subur Suhartini Ismail, Suhartini Supriyatin, Tabah Suseno, Aji suswati suswati Sutrisno, Sutrisno Tri, Indra Gaya Triraharjo, Bambang Trisna Ningsih Ulumuddin, Imam Khoirul Vianita, Etna Wahyudi, Edi Wahyul Amien Syafei WARDAH, ZAHROTUL Whisnumurti Adhiwibowo Widiyanti, Aleyda Wiranjaya, I Wayan Satryadi Yulia, Nunung