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Heri Retnawati

Universitas Negeri Yogyakarta

Author-ID : 2413781

Religion Agriculture, Biological Sciences & Forestry Arts Humanities 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Meningkatkan Numerasi melalui PBL Berbasis STEAM: Inovasi Pembelajaran Perbandingan di Kelas SMP Chudin, Soleh; Retnawati, Heri
Tematik : Jurnal Konten Pendidikan Matematika Vol. 3 No. 2 (2025): TEMATIK: Jurnal Konten Pendidikan Matematika
Publisher : Prodi Tadris Matematika Fakultas Tadris Umum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55210/tematik.v3i2.2126

Penelitian ini bertujuan untuk mengevaluasi efektivitas model Problem Based Learning (PBL) berbasis STEAM dalam meningkatkan kemampuan numerasi siswa SMP pada materi perbandingan. Latar belakang penelitian ini adalah rendahnya hasil literasi numerasi siswa Indonesia berdasarkan data PISA 2022 dan AKM nasional. Penelitian ini menggunakan metode kuasi-eksperimen dengan desain pretest-posttest control group. Sampel penelitian adalah 42 siswa kelas VII SMP Progressive Bumi Shalawat yang dibagi secara acak ke dalam dua kelompok, yaitu kelompok eksperimen yang mendapatkan pembelajaran PBL berbasis STEAM dan kelompok kontrol yang mendapatkan pembelajaran PBL saja. Instrumen yang digunakan meliputi tes numerasi dan lembar observasi. Hasil analisis menunjukkan bahwa kedua kelompok mengalami peningkatan skor numerasi, namun kelompok eksperimen memperoleh nilai rata-rata posttest lebih tinggi (79,64) dibandingkan kelompok kontrol (76,79), serta memenuhi KKM yang ditetapkan sekolah. Uji statistik menunjukkan bahwa peningkatan numerasi kedua kelompok termasuk kategori sedang, namun tidak terdapat perbedaan yang signifikan secara statistik antara keduanya. Meski demikian, pendekatan PBL berbasis STEAM terbukti memberikan pengalaman belajar yang lebih kontekstual dan aplikatif, sehingga direkomendasikan untuk diterapkan secara lebih luas. Penelitian ini menyarankan pengembangan lanjutan dengan variasi strategi pembelajaran dan perluasan sampel untuk hasil yang lebih general.

MAPPING THE HAPPINESS LEVEL DISPARITY OF THE INDONESIAN POPULATION USING MULTIDIMENSIONAL SCALING Sumin, Sumin; Retnawati, Heri
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 4 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

The Central Statistics Agency has published a survey report on the happiness of the Indonesian people in 2017. The survey results show that there are disparities that vary between provinces. The province with the highest happiness index was North Maluku, while the province with the lowest happiness index was Papua. Based on this phenomenon, the researcher wants to map the provinces based on the similarity of happiness levels. Researchers used quantitative descriptive methods with data analysis using multidimensional scaling. The results show that the provinces that have similarities with the happiest group are: [1] North Maluku province is like Riau Islands, Gorontalo, North Sulawesi, and Maluku. [2] South Kalimantan is like North Kalimantan, East Kalimantan, DI Yogyakarta, and Bali. [3] DKI Jakarta is like West Papua. [4] South Sulawesi is like West Sumatra, Riau, and South Sumatra. [5] Aceh is like Kep. Bangka Belitung. The less happy group [1] West Java is like Banten, Central Java, Central Kalimantan, Jambi, and East Java. [2] North Sumatra is like Papua. [3] Central Sulawesi is like Southeast Sulawesi, West Nusa Tenggara, Bengkulu, West Kalimantan, West Sulawesi, Lampung, and East Nusa Tenggara.

ITEM ANALYSIS OF HIGH SCHOOL SPECIALIZATION MATHEMATICS EXAM QUESTIONS WITH ITEM RESPONSE THEORY APPROACH Arriza, Lovieanta; Retnawati, Heri; Ayuni, Rizki Tika
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0151-0162

Analysis of item characteristics on test instruments is carried out to determine high-quality items. This study aims to describe the parameters of specialized high school mathematics test items using the IRT approach. It is an exploratory descriptive study employing a quantitative approach. The research subjects were 36 students of grade XI high school who took the specialization mathematics subject. Response data with dichotomous scoring were analyzed using the IRT approach with the R program to obtain information about item parameters and student ability. The results of the model fit test showed that most of the specialization mathematics exam items fit the Rasch model. The results showed that all items met the criteria of good quality because they had good difficulty parameters. Relatively, the test items were suitable for students with abilities between -2.6 and 2.8 logits. This estimation is also supported by the TIF with a maximum value of 3.049 at 0.08 logit ability and SEM of 0.541. Test items that have been proven to be of high quality can be used as examples in both teaching and diagnostic assessments. Further research could consider the discrimination parameter when analyzing the characteristics of the questions.

THE EFFECT OF SAMPLE SIZE ON THE STABILITY OF XGBOOST MODEL PERFORMANCE IN PREDICTING STUDENT STUDY PERIOD Damar Sakti, Muhammad Lintang; Jailani, Jailani; Retnawati, Heri; Hidayati, Kana; Waryanto, Nur Hadi; Ibrahim, Zulfa Safina; Khoirunnisa, Asma’; Satiranandi Wibowo, Firdaus Amruzain; Berlian, Miftah Okta; Batubara, Angella Ananta
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 4 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss4pp2679-2692

Student success can be defined based on the period of study taken until graduation from college. Machine learning can be used to predict the factors that are thought to influence student success. To achieve optimal machine learning model performance, attention is needed on the sample size. This study aims to determine the effect of student sample size on the stability of model performance to predict student success. This research is quantitative. The data used is student data from a university in Yogyakarta from 2014 to 2019, totaling 19061 students. The target variable is the student study period in months, while the predictor variables are college entrance pathways, GPA from semester 1 to semester 6, and family socioeconomic conditions based on the father’s and mother’s income. This research uses the XGBoost model with the best hyperparameters and the bootstrap approach. Bootstrapping was performed on the original data by sampling twenty different sample sizes: 250, 500, 750, 1000, 1250, 1500, 1750, 2000, 2250, 2500, 2750, 3000, 3250, 3500, 3750, 4000, 4250, 4500, 4750, and 5000. The resulting bootstrap samples were replicated ten times. Model performance evaluation uses the Root Mean Square Error (RMSE) value. The result of this research is the XGBoost model with the best hyperparameters, obtained through the training data division scheme of 90% and testing data of 10%, which has the smallest RMSE value of 8.318. The model uses the best hyperparameters: n_estimators of 75, max_depth of 8, min_child_weight of 5, eta of 0.07, gamma of 0.2, subsample of 0.8, and colsample_bylevel of 1. The XGBoost model with optimal hyperparameters demonstrates peak performance stability at a sample size of 1750 students, as evidenced by consistent RMSE values across 10 bootstrap replications, confirming that this data quantity provides the ideal balance between prediction accuracy and stability for estimating study duration.

A comparison of the stability of ability parameter estimation based on the maximum likelihood and Bayesian estimation: A case study of dichotomous scoring test results Putri, Faradila Ilena; Retnawati, Heri; Kardanova, Elena
REID (Research and Evaluation in Education) Vol. 11 No. 1 (2025)
Publisher : Graduate School of Universitas Negeri Yogyakarta & Himpunan Evaluasi Pendidikan Indonesia (HEPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/reid.v11i1.89463

This research is related to Item Response Theory (IRT), which is essential for determining the best method for estimating participants' abilities on a test measuring English listening ability. This study aims to (1) determine the characteristics of the test device measuring English listening ability, (2) determine the effect of the length of the test on the stability of the ability estimation using the maximum likelihood (ML) method, (3) determine the effect of test length on the stability of the ability estimation using the Bayes method, and (4) compare the stability of the ability estimate between ML and Bayes. This research is an exploratory descriptive study using a simulation approach. The best model is selected to generate data. The result of the generation is the actual ability (θ) and the participant's response, which is estimated with the maximum likelihood and Bayes, which produces the estimated ability with 10 replications, and is compared with calculating the MSE (mean square error). The method with a smaller MSE is stable and has a better estimation method. The results show that (1) the 2PL model is the best, (2) the length of the test affects the stability of the ability estimation in the ML method and the most stable case when the test contains 46 items, (3) the length of the test affects the stability of the ability estimate in the Bayes method and it is most stable when the test contains 46 items, and (4) the Bayes method is better and more accurate for estimating ability.

The Effect of Habits of Mind on Students' Reasoning Ability through Mathematic Connections Indriani, Tari; Retnawati, Heri
Jurnal Ilmiah Pendidikan Profesi Guru Vol. 8 No. 2 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jippg.v8i2.102173

Students often have trouble developing their math reasoning skills to the fullest because they don't have the habit of thinking reflectively and don't have strong connections between math concepts. This problem shows the need for learning that can systematically integrate habits of mind and mathematical connections into students' thinking processes. This study aims to analyze in depth the direct and indirect effects of habits of mind on mathematical reasoning skills through students' mathematical connections in 10th grade high school. This is a quantitative study with an ex-post facto design. The research subjects consist of 342 students as the main sample. Data were collected using instruments in the form of a mathematical connection ability test, a mathematical reasoning ability test, and a habits of mind questionnaire. The instruments underwent content validity testing, reliability testing, and item characteristic analysis using Confirmatory Factor Analysis and Item Response Theory. The data analysis techniques used were regression analysis and path analysis to examine the causal relationships between variables directly and indirectly. The analysis results indicate a significant direct effect of habits of mind on students' mathematical connection abilities. The findings of this study suggest that habits of mind play a crucial role in enhancing students' mathematical reasoning abilities indirectly through the strengthening of mathematical connections. This finding underscores the importance of integrating affective and cognitive aspects in mathematics education. The implications of this study are that teachers need to design learning strategies that can foster habits of mind.

Deep-Rasch as an Alternative to Rasch Modeling under Assumption Violations and Small Sample Sizes Santoso, Agus; Afendi, Farit Mochamad; Pardede, Timbul; Retnawati, Heri; Rafi, Ibnu; Apino, Ezi; Rosyada, Munaya Nikma
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.36276

In certain situations, it may be challenging to fully exploit the advantages of modern test theory, including Rasch modeling and item response theory (IRT), when applied to real data. Although Rasch modeling tends to be more robust than IRT for small sample sizes, it still requires that the assumptions of unidimensionality and local independence be satisfied. In practice, these assumptions are often violated, which can lead to less accurate analyses and reduced validity of the results. Deep-Rasch, which integrates deep learning with Rasch modeling, has been proposed as an alternative measurement framework to overcome these limitations. This study examines the potential of Deep-Rasch as an alternative to Rasch modeling using student response data from 17 final semester examinations at Universitas Terbuka (UT), with sample sizes ranging from 33 to 11,504 students. Most examinations consisted of 30 multiple-choice items. The analyses showed that several datasets violated one or both assumptions of Rasch modeling. Nevertheless, Deep-Rasch performed comparably to conventional Rasch modeling in estimating item difficulty and student ability parameters, as well as in predicting student responses. Remarkably, for the smallest sample size (\emph{n} = 33), Deep-Rasch exhibited slightly better performance than Rasch modeling.

Pengaruh model pembelajaran kooperatif terhadap keterampilan berpikir kritis dan kreatif dalam pembelajaran IPA pada siswa Sekolah Dasar Twiningsih, Anik; Retnawati, Heri; Cahyandaru, Pramudya
Taman Cendekia: Jurnal Pendidikan Ke-SD-an Vol 6 No 2 (2022): Desember 2022
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/tc.v6i2.13599

Many implementations of cooperative learning have been carried out, but the selection of cooperative learning models still needs to be investigated. This study aims to determine the effect of cooperative learning models such as the Group Investigation (GI) model, Student Team Achievement Division (STAD), and Jigsaw on critical and creative thinking skills in science learning in fourth-grade students in elementary school. The research uses a quantitative research approach. The research sample was randomly selected from 75 fourth-grade elementary school students. Data were collected by using the critical and creative thinking skills test method. The test instrument is structured with indicators of critical and creative thinking variables which are applied in the study of science learning. The research instrument is in the form of a description test that has met the validity and reliability tests. The technique of data analysis was done with a Multivariate Analysis Of Variance. The results show that the critical and creative thinking skills obtained sig. of 0.001 <0.05, which means that the cooperative learning model significantly affects critical and creative thinking skills multivariate. Meanwhile, post hoc testing shows that the GI model is superior for improving critical and creative thinking skills. Keywords: Cooperative learning model, Critical thinking skills, Creative thinking

Predicting Physics Students’ Achievement Using In-Class Assessment Data: A Comparison of Two Machine Learning Models Santoso, Purwoko Haryadi; Santosa, Hayang Sugeng; Istiyono, Edi; Haryanto, Haryanto; Retnawati, Heri
Physics Education Research Journal Vol. 5 No. 2 (2023)
Publisher : Faculty of Science and Education, UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/perj.2023.5.2.14217

Data is the primary source to scaffold physics teaching and learning for teachers and students, mainly reported through in-class assessment. Machine learning (ML) is an axis of artificial intelligence (AI) study that immensely attracts the development of physics education research (PER). ML is built to predict students’ learning that can support students’ success in an effective physics achievement. In this paper, two ML algorithms, logistic regression and random forest, were trained and compared to predict students’ achievement in high school physics (N = 197). Data on students’ achievement was harvested from in-class assessments administered by a physics teacher regarding knowledge (cognitive) and psychomotor during the 2020/2021 academic year. Three assessment points of knowledge and psychomotor were employed to predict students’ achievement on a dichotomous scale on the final term examination. Combining in-class assessment of knowledge and psychomotor, we could discover the plausible performance of students’ achievement prediction using the two algorithms. Knowledge assessment was a determinant in predicting high school physics students’ achievement. Findings reported by this paper recommended open room for the implementation of ML for educational practice and its potential contribution to supporting physics teaching and learning.

Is there any item or test bias in the Business English Test at Universitas Terbuka? Santoso, Agus; Retnawati, Heri; Pardede, Timbul; Rahayu, Dyah Paminta; Rosyada, Munaya Nikma; Tuanaya, Rugaya; Sotlikova, Rimajon; Atymtaevna, Begimbetova Guldana
Diksi Vol. 33 No. 2: DIKSI (SEPTEMBER 2025)
Publisher : Fakultas Bahasa, Seni, dan Budaya, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/diksi.v33i2.84570

In an exemplary test implementation, the items used should be fair and free from bias. This biased content threatens the validity that will affect the interpretation of the test results. This study aims to analyze the biased content of items and tests on the test device for the Commercial English Course, with the code ADBI4201, a course in the Business Administration Study Program at the Faculty of Law, Social, and Political Sciences, Open University (UT). It uses the quantitative approach. Data were collected through documentation in the form of grids and responses from final semester test participants in January 2024. Data analysis was carried out by (1) estimating item parameters using classical test theory and item response theory for tests, (2) estimating item parameters based on regional groups and based on gender, which are used to identify DIF content, (3) testing the significance of DIF with a maximum likelihood comparison. The study's findings showed 26 items contained DIF by gender and 25 items contained DIF by region. The results of the test bias detection showed that the test slightly favored the female group and the students from the Java region.

Co-Authors 'Aziz, Hafidh . Haryanto Abdul Rahim bin Abdul Rahman Abdullah, Abdul Halim Adzima, Maulana Fatahillah Agus Kistian Agus Maman Abadi Agus Santoso Agus Santoso Agus Supramono Ahmad Adnan Mohd Shukri Ahmad Muhazir Ahmad Naufal Aljura Ahmad Syafii Aigul Dauletkulova Aji, Ndaru Wicaksono Akbar Iskandar Alfred Irambona, Alfred Ali Mahmudi Ali Muhson Ali Mustadi Ali, Rade Muhammad Ali, Raden Muhammad Alifa Sekar Ananda Alifiyarti, Tissa Aljura, Ahmad Naufal Amalia Annisa Amat Jaedun Aminuddin Hassan Aminuddin Hassan Amminudin bin Hassan Amrih Setyo Raharjo Anang Fathoni Andhita Dessy Wulansari Anik Twiningsih Anwar Senen Anzar, Zuari Aoyama, Kazuhiro Apino, Ezi Argianti, Atin Ari Purnawan Ari Setiawan Ari Setiawan Arifin Riadi Arini Rosa Sinensis Aristiawan, Aristiawan Ariyadi Chandra Nugraha Ariyadi Wijaya Ariyatun, Ariyatun Arlinwibowo, Janu Arma Wangsa Arriza, Lovieanta Astuti, Furintasari Astuti, Furintasari Setya Astuti, Nuryani Dwi Atymtaevna, Begimbetova Guldana Aulia Hermawati Ulfah Auliaul Fitrah Samsuddin Awwaliya, Sella ‘Izzata Ayuni, Rizki Tika Azizah, Nur Lailatul Azriah Azriah Azzahra, Mazidah Badrun Kartowagiran Badrun Kartowagiran Badrun Kartowagiran Bagdaulet Kenzhalyevich Kenzhaliyev Bambang Subali Basrowi, Ray Wagiu Batubara, Angella Ananta Beatriz Eugenia Orantes Perez, Beatriz Eugenia Orantes Begimbetova, Guldana A. Begimbetova, Guldana Atymtaevna Berlian, Miftah Okta Bruri Moch. Triyono Budi Yanto Cahya Mar’a Saliha Sumantri Cahyandaru, Pramudya Cahyono, Sulistio Mukti Caly Setiawan Caturiyati Caturiyati Chairun Nisa Chudin, Soleh Citra Ayu Fatimah Cut Yuni Nurul Hajjina Damar Sakti, Muhammad Lintang Darwin, Muhammad Riza Dasih Lelani Nurina Dauletkulova, Aigul Deni Hadiana Deni Hadiana, Deni Depi Ardian Nugraha Deron Manuella, Regina Griselnada Dewanto Muhammad Zulqadri Dewi Natalia Marpaung Dewi Saputri Dewi, Fatimah Candrawati Dhoriva Urwatul Wutsqo Diah Susanti Dian Andesta Bujuri Dian Normalitasari Purnama Dian Satria Charismana Diki, Diki Dita Surwanti Djamilah Bondan Widjajanti Djemari Mardapi Djermari Mardapi Djermari Mardapi Djidu, Hasan Dodiet Enggar Wibowo Duden Saepuzaman, Duden Dwi Astuti Dwi Astuti Dwi Susanti Dyahsih Alin Sholihah Dzul Rachman, Dzul E. Kus Eddy Sartono Edi Istiyono Edi Susanto Edi Susanto Edward Phabiano Eka Ramadanti Eko Wahyunanto Prihono Eko Wahyunanto Prihono Elita Rachmayanti Elly Arliani Endang Listyani Endang Mulyatiningsih Enny Zubaidah Eny Sulistyaningsih Eri Yusron Eri Yusron Eri Yusron Ernida Ainun Nikmah Ervian Arif Muhafid, Ervian Arif Erwin Syahril Mubarok Evendi, Erpin Ezi Apino Fajri, Abrar Syahrul Farida Agus Setiawati Farit Mochamad Afendi Fatimah, Citra Ayu Fatmawati, Fasiha Fauzan, Muh Ikhwan Fauzani, Ratna Ainun Fitra Elnurianda Fitri Nur Mahmudah Fitria Lapele Fitria Lapele Fitta Ummaya Santi Gaffar Hafiz Sagala Gaspersz, Magy Ghozali, Muhammad Ikhsan Guldana A. Begimbetova Guldana A. Begimbetova Gulzhaina K. Kassymova Gulzhaina K. Kassymova Gulzhaina Kuralbayevna Kassymova Guntur, Muhamad Ikhsan Sahal Gupitasari, Venie Habib Ratu Perwira Negara Hajra Yansa Handayawati, Ponco Happri Novriza Setya Dhewantoro Hapsan, Amran Hari Purnomo Susanto Harman Suhadi Harsana, Firyal Nabila Harun Harun HARYANTO Haryanto Haryanto Hasan Djidu Hasan Khalawi Hassan, Aminuddin Heni Purwati Herjan Haryadi Herlansyah, Rhido Heru Handoko Hery Murtianto, Yanuar Hery Rosdianti Hidayah, Fitri Nur hidayah, murti ambarwati Hidayat, Opik HIDAYATI, ARINI ULFAH Hilman Hilman Himawan Putranta Himmatul Ulya Himmawati Puji Lestari Hutkemri Zulnaidi I Gusti Bagus Wiksuana I Nyoman Indhi Wiradika Ibda, Hamidulloh Ibnu Rafi Ibnu Rafi Ibrahim, Zulfa Safina Ikhsanudin, Ikhsanudin Imam Machali Imam Rofiki Imam Subarkah Iman, Asrul Nur Indra Kusuma Wijayanti Indra Kusuma Wijayanti Indra Kusuma Wijayanti Indriani, Tari Insih Wilujeng irfan budiono Irfan Hilmi Irvan Budhi Handaka, Irvan Budhi Ismail, Raoda Ismiyati, Ismiyati Isnaeni Isnaeni Jailani Jailani Jailani Jailani James Leonard Mwakapemba Jamhari Jamhari Janna, Miftahul Janu Arlinwibowo Janu Arlinwibowo Jeni Dwi Prasetyo Joko Supriyanto Jumini Jumini Kamhar Ngado Kana Hidayati Kardanova, Elena Kartianom Kartianom Kartianom Kartianom Kartianom, Kartianom Kartiko Rachman Y Prasetya Kassymova, Gulzhaina K Kassymova, Gulzhaina K. Kassymova, Gulzhaina Kuralbayevna Kazuhiro Aoyama Kharismawati, Limala Ratni Sri Khasanah Nur Hidayah Khoirotunnisa, Ulfah Khoirunnisa, Asma Khoirunnisa, Asma’ Kistantia Elok Mumpuni Kistoro, Hanif Cahyo Adi Kusnaeni Kusnaeni Kusuma, Anggun Badu Lala Fira Dwi Apriliyanti Lantip Diat Prasojo Lapele, Fitria Latif Irfan Lau Yoke Yin Lele, Marten Luter Ke Lian G Otaya Linda Feni Haryati Linda Indiyarti Putri Lisner Tiurma Listyaningrum, Prabandari Lukas, Imelda Lukman Lukman Lumenyela, Rogers Andrew M. Rafi Mami Hajaroh Manggaberani, Andi Abdurrahman Maria Evarista Oktaviane Barut Barut Maria Ulfah Marpaung, Dewi Natalia Marsigit Marsigit Marsigit Marsigit Martiana, Aris Marzuki Marzuki Mathilda Susanti Mazda Leva Okta Safitri Mbazumutima, Vianney Mega Isvandiana Purnamasari Megawanti, Priarti Minhajjul Abidin Mobinta Kusuma Mu'adzah, Zulfa Amirul Muh Farozin Muh. Asriadi AM Muhamad Farhan Muhammad Dwirifqi Kharisma Putra Muhammad Iqbal Muhammad Naim Mahmud Muhammad Rais Ridwan Muhammad Sulthon Muhardis Muhardis Mulyati Munaya Nikma Rosyada Nasharuddin Nikmah, Ernida Ainun Niluh Sulistyani Nindy Fadlila Nisak Ruwah Ibnatur Husnul Noordin, Muhamad Kahir bin Nur Hadi Waryanto Nur Hasanah Nur Hidayanto Pancoro Setyo Putro Nur Insani Nur Sehang Thamrin Nur Sholehah Dian Saputri Nur Sholihah Nurharyanto, Dwi Widyastuti Nurmala Sari Nuryana, Zalik Nuryani Dwi Astuti Nusantara, Bayuk Okky Riswandha Imawan Oni Pluntur Artiono Oni Pluntur Artiono Pardede, Timbul Permatasari, Alfelia Nugky Pika Merliza Pratama, Galeh Nur Indiatno Putra Pratiwi Pujiastuti Pratomo Widodo Prihono, Eko Wahyunanto Pujiastuti Pujiastuti Pujiati Pujiati Pujiati Suyata Pulungan, Delyanti Azzumarito Purwasih, Retno Purwo Haryono Purwoko Haryadi Santoso Putri Rahmadani, Putri Putri, Faradila Ilena Qurrota A'yun Raden Rosnawati Rahayu, Dyah Paminta Rahmat Danni Rahmiliasari Samnufida Ramadhani Ramadian Radite Rasmuin Rasmuin Rasmuin, Rasmuin Retno Arianingrum Retno Purwasih REZA SYEHMA BAHTIAR Rezkilaturahmi, Rezkilaturahmi Rino Richardo Risky Setiawan Rita Eka Izzaty, Rita Eka Rita Sriayu Rita Sriayu Rizki Nor Amelia Robert Edy Sudarwan Rolina Amriyanti Ferita Rosid Bahar Rosyada, Munaya Nikma RR Rianto, Vivi Rully Charitas Indra Prahmana Sabaryati, Johri Sabitu, Kamoru Sakti, Muhammad Lintang Damar Salsabila, Azkiya Samsuddin, Auliaul Fitrah Samsul Hadi SAMSUL HADI Samsul Hadi Santosa, Hayang Sugeng Saputra, Isnu Bima Saputri, Nur Sholehah Dian Saragih, Novilda Angela Satiranandi Wibowo, Firdaus Amruzain Septiana, Atut Reni Septiani, Syilvia Septinda Rima Dewanti Shaw, Rajib Sholihah, Mar'atus Sigit Sanyata Siti Irene A. Dwiningrum Siti Irene Astuti D Siti Kamilah Siti Kamilah Siti Marfu'ah Siti Salina Mustakim Siti Salina Mustakim Siti Salina Mustakim Sitti Mutia Umasugi Siwi Khomsiatun Slamet Suyanto Sotlikova, Rimajon Sri Andayani Sudarna, Nanong Sudji Munadi Sugiman Sugiman Sugiman Sugiman Sugiman Suhariyono Suhariyono Suherman Suherman Sujarwo SUKIRNO Sukirno Sukirno Sulistyaningsih, Eny Sultan Salem Sumardi, Hari Sumaryanto Sumaryanto, Sumaryanto Sumin Sumin Sumin, Sumin Supahar, Supahar Suranto Suranto Suripah Suripah Susanta, Agus Susongko , Purwo Sutrimo, Moh Slamet Sutrisno , Deny Suwarsih Madya Suyanto Suyanto Suyata Suyata Suyata Suyata Syahri Ramadhan Syarief Fajaruddin Syarif, Sri Reskiani Syawahid, M Syukrul Hamdi Tafakur Tafakur Taufik Muhtarom Tommy Tanu Wijaya Tri Effiyanti Trie Hartiti Retnowati Trisnani, Novy Trisylia Ida Pramesti Triyono Triyono Triyono, M.Bruri Tsania Ismi Fauzia Tuanaya, Rugaya Tusyanah Tusyanah Twiningsih, Anik Ulin Nuskhi Muti'ah Ulwatunnisa, Marwah Ulwiyah, Sa'adatul Umi Farisiyah Ummi Aisyah Ummul Karimah Valeria Kartikaningtyas Valeria Kartikaningtyas Vepi Apiati Vianney Mbazumutima Vinni Sofyaningsih Wahyu Hartono Wahyu Setyaningrum Wahyudi Wahyudi Wahyudi, Andi Wajidi Sayadi Wanda Tri Utami Wardhani, Novi Sheila Wibowo, Dodiet Enggar Widayanti Widayanti Widyastuti Purbani Wilda Yumna Safitri Wiradika, I Nyoman Indhi Wisnu Budi Waluyo Wiwin Fajriah Hanna Wua Laja, Yosepha Patricia Wulandari . Wuri Wuryandani Yasir Alsamiri Yeni Fitri Yenni Muflihan Yosa Abduh Alzuhdy Yuenyong, Chokchai Yuli Prihatni Yuli Prihatni Yuliana Yusron, Eri Yustiandi - Yustiandi Yustiandi Yustiandi Yustiandi Yustiandi Yustiandi, Yustiandi Zaenal Arifin Zela Septikasari, Zela Zuari Anzar Zuhdan Kun Prasetyo Zulnaidi, Hutkemri Zurqoni Zurqoni Zurqoni Zurqoni Zurqoni ‎, Haryanto

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