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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JPMS (Jurnal Pendidikan Matematika dan Sains) PERMANA Teknisia Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Jurnal Rekayasa Sipil dan Lingkungan Journal of ICSAR Jurnal Rekayasa Sipil Jurnal ORTOPEDAGOGIA Jurnal Maneksi (Management Ekonomi Dan Akuntansi) JURNAL ILMIAH GEOMATIKA MAJALAH ILMIAH GLOBE Journal of Economic, Bussines and Accounting (COSTING) IKRA-ITH Informatika : Jurnal Komputer dan Informatika The Spirit of Society Journal : International Journal of Society Development and Engagement JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal Pendidikan Kebutuhan Khusus Jurnal Rekayasa Sipil JURNAL PENDIDIKAN TAMBUSAI Jurnal Basicedu Astonjadro Krea-TIF: Jurnal Teknik Informatika Jambura Economic Education Journal Insight: Jurnal Ilmiah Psikologi KOLOKIUM: Jurnal Pendidikan Luar Sekolah Jurnal Abdi Masyarakat (JAM) Abdi Dosen : Jurnal Pengabdian Pada Masyarakat PREPOTIF : Jurnal Kesehatan Masyarakat Jurnal Penelitian Kebijakan Pendidikan INFOKUM Jurnal Darma Agung Indonesian Journal of Global Health research ESTIMASI: Journal of Statistics and Its Application Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Ilmiah Wahana Pendidikan These proceedings represent the work of researchers participating in The International Conference on Elementary Education (ICEE) which is being hosted by the Elementary Education Study Programme School of Postgraduate Studies, Universitas Pendidikan Journal La Multiapp JPI (Jurnal Pendidikan Inklusi) Kalam Cendekia: Jurnal Ilmiah Kependidikan Bima Journal : Business, Management and Accounting Journal Asean Journal of Science and Engineering (AJSE) Indonesian Journal of Community and Special Needs Education (IJCSNE) Jurnal Asesmen Dan Intervensi Anak Berkebutuhan Khusus Jurnal Basicedu Jurnal Indonesia Sosial Sains Journal of Education for Sustainability and Diversity Eduvest - Journal of Universal Studies Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS JABKO: Jurnal Akuntansi dan Bisnis Kontemporer Jurnal Pengabdian Masyarakat Bangsa Jurnal Keuangan dan Bisnis Media Akuntansi Perpajakan Promotor: Jurnal Mahasiswa Kesehatan Masyarakat Proceeding of International Conference on Special Education in South East Asia Region ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat Jurnal Multidisiplin Pengabdian Masyarakat (JMPM) Indonesian Journal of Statistics and Its Applications Jurnal Penelitian Kebijakan Pendidikan Jurnal Rekayasan Lingkungan dan Biosistem
Budi Susetyo
Program Studi Teknik Informatika, Universitas Ibn Khaldun Bogor
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Analisis Faktor-Faktor Yang Mempengaruhi Quantity Surveyor dalam Proses Pengadaan Jasa Konstruksi Infrastruktur Kusumaningtyas, Nella; Susetyo, Budi
Rekayasa Sipil Vol 14, No 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jrs.2025.v14.i2.08

Abstract

Provinsi Banten merupakan kawasan komersial menjanjikan sebagai akses perekonomian, dan menghubungkan pulau Jawa dan Sumatera serta menunjang pendapatan ibu kota Jakarta. Jasa konstruksi menjadi industri pendukung dan menawarkan keuntungan dengan peningkatkan produktivitas dan nilai tambah ekonomi. Manajemen proyek konstruksi bangunan dan infrastruktur memerlukan peran profesional dengan keterampilan teknis pengadaan barang dan jasa serta konsultan yang dinamakan quantity surveyor. Penelitian bertujuan menganalisis faktor-faktor yang mempengaruhi peran quantity surveyor dalam proses pengadaan jasa konstruksi infrastruktur. Metode penelitian dengan kuantitatif dengan pendekatan survei. Variabel endogen yaitu kompetensi, pengalaman proyek, perencanaan, evaluasi, dokumentasi dan rekomendasi. Variabel eksogen yaitu pelaksanaan proyek jasa konstruksi infrastruktur, sedangkan variabel moderasi adalah pengendalian kontrak. Sumber data primer diperoleh dari 104 responden secara acak sederhana dan data sekunder diperoleh dari studi literatur. Pengumpulan data menggunakan teknik kuesioner kepada quantity surveyor di Provinsi Banten tahun 2022, sedangkan analisis data menggunanakan model persamaan struktural dengan teknik kuadrat terkecil parsial. Hasil penelitian menunjukkan bahwa faktor kompetensi, pengalaman dan rekomendasi mempengaruhi proses pengadaan jasa konstruksi infrastruktur. Implikasi penelitian dengan semakin baik proses pengadaan barang dan jasa yang dilakukan quantity surveyor maka akan memperbaiki manajemen proyek konstruksi barang dan jasa.
Evaluasi Perbandingan Model XGBoost, Random Forest, LightGBM, dan Artificial Neural Network dalam Klasifikasi Kerawanan Pangan Isnaini, Mardatunnisa; Gustiara, Dela; Muhadi, Rizqi Annafi; Shafa, Shalshabilla; Sartono, Bagus; Firdawanti, Aulia Rizki; Susetyo, Budi; Dito, Gerry Alfa
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 14 Issue 1 April 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v14i1.36227

Abstract

Food insecurity remains a serious household-level issue, particularly in densely populated regions such as West Java, highlighting the need for analytical approaches capable of accurately identifying vulnerable groups. Machine learning algorithms offer the potential to improve the accuracy and precision of food insecurity classification based on survey data. This study aims to compare the predictive performance and variable importance identification of four machine learning algorithms—Random Forest, Light Gradient Boosting Machine (LightGBM), Extreme Gradient Boosting (XGBoost), and Artificial Neural Network (ANN)—in predicting household food insecurity status. The analysis employs SUSENAS 2023 data covering 26,012 households with 14 predictor variables, and food insecurity is classified using the Food Insecurity Experience Scale (FIES). Class imbalance is addressed using the Synthetic Minority Over-sampling Technique (SMOTE) within a 10-fold cross-validation framework. The results show that XGBoost achieves the highest accuracy of 71%, while Random Forest provides the best balanced accuracy under the SMOTE scenario. Moreover, all algorithms consistently identify the Wealth Index as the most influential predictor based on their respective Variable Importance measures, followed by variables related to water access and food assistance. Accordingly, XGBoost is recommended in terms of accuracy, whereas Random Forest demonstrates superior balanced accuracy and prediction stability.
Perbandingan Performa MSGARCH, LSTM, dan Hybrid MSGARCH-LSTM pada Peramalan Data Deret Waktu yang Mengandung Heteroskedastisitas Freya, Wa Ode Rona; Sadik, Kusman; Susetyo, Budi
ESTIMASI: Journal of Statistics and Its Application Vol. 7, No. 1, Januari, 2026 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v7i1.45934

Abstract

Volatility forecasting is crucial for estimating potential portfolio losses, particularly in cryptocurrency markets like Bitcoin, which exhibit high and irregular price fluctuations. Models from the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) family, including Markov Switching GARCH (MSGARCH), are widely used to handle heteroscedastic data and capture regime changes. Meanwhile, Long Short-Term Memory (LSTM) is effective for modeling nonlinear and complex patterns in financial time series. This study proposes a hybrid MSGARCH-LSTM model by incorporating MSGARCH predictions as additional input to the LSTM. The model is evaluated using simulated data resembling Bitcoin's characteristics, with Heteroscedasticity Mean Absolute Error (HMAE) as the primary metric, and analyzed using ANOVA and Tukey's post-hoc test. The results identify four superior hybrid configurations, all of which significantly outperform the standalone MSGARCH and LSTM models. Based on the characteristics of Bitcoin data, the MSGARCH (2-regime with sged error distribution)-LSTM model is selected for empirical analysis. This model achieved an HMAE of 0.3197 and an HMSE of 0.2088, with accuracy improvements of 61.20% and 83.50% compared to the standalone MSGARCH model. These findings indicate that the hybrid MSGARCH-LSTM model improves volatility forecasting accuracy in highly volatile cryptocurrency markets.
IDENTIFIKASI KARAKTERISTIK ANAK PUTUS SEKOLAH DI JAWA BARAT DENGAN REGRESI LOGISTIK Perhati, Tina Aris; Indahwati, .; Susetyo, Budi
Indonesian Journal of Statistics and Applications Vol 1 No 1 (2017)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v1i1.51

Abstract

School dropouts are the problem in education which is the condition of children who do not have the opportunity to complete their education that they couldnt obtain degree certificate due to certain factors. Based on SUSENAS 2013, there is 2.15% of children aged 7-15 years old in West Java who dropped out of school. Three aspects that have great potential on the incidence of school dropouts are characteristic of social, economy, and demography. This study uses logistic regression analysis to determine the effect of school dropouts by the three aspects. The results of logistic regression analysis at 5% significance level indicates that the characteristics of social, economy, and demography that have significant effect on the incidence of school dropouts are the low education of household head, more than four household members, less than the poverty line household expenditure per capita, residence location in urban areas, and boys. The resulting model is sufficientfor estimation with the sensitivity value of 70.20% and the area under the ROC curve of 76.42%. Keywords: logistic regression, ROC curve, school children, sensitivity.
PEMODELAN DATA TERSENSOR KANAN MENGGUNAKAN ZERO INFLATED NEGATIVE BINOMIAL DAN HURDLE NEGATIVE BINOMIAL Rumahorbo, Kusni Rohani; Susetyo, Budi; Sadik, Kusman
Indonesian Journal of Statistics and Applications Vol 3 No 2 (2019)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v3i2.247

Abstract

Health is a very important thing for humanity. One way to look at a person's health condition is through the number of unhealthy days which can also shows the productivity of the community in a region. Modeling the number of unhealthy days which are examples of count data can be done using Poisson regression. Problems that are often faced in data counts are overdispersion and excess zero. Poisson regression cannot be applied to data that experiences both of these. Zero Inflated Negative Binomial and Hurdle Negative Binomial modeling was performed on data with 2 conditions, uncensored and censored. The explanatory variables used are gender, age, marital status, education level, home ownership status and rural-urban status. According to the results of the AIC and RMSE calculation, Zero Inflated Negative Binomial on censored data showed the best performance for estimating the number of unhealthy days.
HUBUNGAN AKREDITASI DAN UJIAN NASIONAL PADA SEKOLAH NEGERI DENGAN GENERALIZED STRUCTURED COMPONENT ANALYSIS Wahyuni, Rezi; Susetyo, Budi; Fitrianto, Anwar
Indonesian Journal of Statistics and Applications Vol 3 No 3 (2019)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v3i3.342

Abstract

There are several views and tendencies that distinguish between schools and madrasas in several aspects, one of them is the curriculum. Madrasah as islamic educational institution contains more religious lessons compared to public schools. As a result, madrasah are considered less able to provide good result in educational achievement. Overall, the education system which is based on National Education Standards (SNP) is used for assessing the educational accreditation. SNP is the minimum criterion of education system in Indonesia can be evaluated from the National Examination (UN). As latent variable, SNP is measured through 124 items as variable indicators. One of methods which is used to measure the relationship among latent variables, and latent variables with their indicator variables is structural equation modeling (SEM). A component-based SEM is called Generalized Structured Component Analysis (GSCA). GSCA analysis based on measurement model, there were 9 indicators were not significant, in which 1 indicator of standard of education and staff (SPT), 5 indicators on standard of infrastructure (SSP), and 3 indicators on standard of cost (SB). Evaluation of the structural model, it was found that the path coefficient of standard of content (SI) to UN was not significant and standard of competency (SKL) given the biggest direct effect to UN. The overall goodness of fit model showed that the total variance that can be explained of all indicators and latent variables in evaluating model of accreditation and national examinations was 63.9%. The difference in the percentage of accreditation status between schools and madrasas shows different UN results. In the 2017-2018 period, MTsN had a higher percentage of accredited schools, in line with that the average MTsN UN obtained was better than that of SMP in all types of subjects.
KAJIAN VALIDITAS INSTRUMEN PENGUKURAN SKALA PENGALAMAN KERAWANAN PANGAN DI INDONESIA Herlina, Herlina; Sartono, Bagus; Susetyo, Budi
Indonesian Journal of Statistics and Applications Vol 4 No 1 (2020)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v4i1.543

Abstract

The results of the FAO study since 2013 through the Voices of Hungry Project (VoH-FAO) have produced measures of the Food Insecurity Experience Scale (FIES). FIES is a global reference scale that becomes a reference for comparing the prevalence of food insecurity between countries and regions. The challenge of using the FIES instrument, each country must carry out linguistic adaptations that are appropriate to the culture and national language. This study aims to analyze the validity of FIES measurements in Indonesia, including internal and external analysis. The Rasch model (RM) used for internal validity analysis. Measurement of the validity and reliability of Indonesian FIES items was calibrated with a global reference scale. Differences in the scale of calibration items with a global reference scale of less than 0.35 indicate that they are standard items. FIES measurements require at least five common items. External analysis of FIES measurements uses the Pearson correlation between district-level aggregation on each FIES item that is answered "yes" and determinant characteristics of household food insecurity. The expected correlation coefficient indicated the direction of a positive correlation and observed the correlation coefficient of item 1501 to 1508, which is getting smaller. Internal analysis of FIES measurements in Indonesia shows the achievement of unidimensional and local independence assumptions. However, item 1501 has identified as an outlier. Then identify unique issues are 1501 and 1504, while unique items in rural subsamples are 1503 and 1508. Unique item differences founded in food expenditure 60 percent or more, i.e., 1502. This shows a discordance with items assumption of parameter invariance. The reliability of the FIES item is 0.78, and this reflects the suitability of the model quite well. External analysis of the FIES measurement identifies item 1501 and 1504 as invalid items (unique items).
Intervensi Dini Berbasis Keluarga untuk Anak dengan Keterlambatan Bahasa dan Bicara Saragih, Donna Evelina; Susetyo, Budi
Kalam Cendekia: Jurnal Ilmiah Kependidikan Vol 12, No 2 (2024): Kalam Cendekia: Jurnal Ilmiah Kependidikan
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkc.v12i2.87206

Abstract

Penelitian ini mengusulkan program intervensi dini yang berfokus pada keluarga dengan tujuan mengembangkan kemampuan bahasa dan bicara anak yang mengalami keterlambatan bahasa dan bicara. Penelitian ini bertujuan untuk mengidentifikasi strategi intervensi yang efektif dalam meningkatkan keterampilan bahasa dan bicara anak dengan memperkuat peran keluarga dalam proses pembelajaran. Metode penelitian yang digunakan adalah penelitian kualitatif dengan teknik observasi, wawancara, dan dokumen. Hasil penelitian menunjukkan bahwa orangtua dapat melakukan intervensi dini yang berdampak positif pada perkembangan pengucapan kata/kalimat sederhana anak. Anak yang mendapatkan intervensi dini dari orangtua mengalami peningkatan signifikan dalam keterampilan berbahasa. Partisipasi aktif orangtua dalam program ini memberikan dampak positif terhadap perkembangan bahasa anak. Kesimpulannya, penelitian ini memberikan landasan untuk pengembangan program intervensi dini yang relevan dan berkelanjutan dengan penekanan khusus pada keterlibatan keluarga.
Sustainable English Audio Vocabulary (SEA-V) to Improve English Learning Outcomes of Visually Impaired Students Rahayu, Nuning Sapta; Aprilia, Imas Diana; Susetyo, Budi
Kalam Cendekia: Jurnal Ilmiah Kependidikan Vol 12, No 2 (2024): Kalam Cendekia: Jurnal Ilmiah Kependidikan
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkc.v12i2.86901

Abstract

Penelitian ini bertujuan untuk meningkatkan hasil belajar bahasa Inggris siswa tunanetra kelas XI melalui penggunaan media Sustainable English Audio Vocabulary (SEA-V). Penelitian dilakukan dengan menggunakan metode eksperimen tipe one group pre-test post-test. Subjek penelitian adalah 4 siswa kelas XI SLBN Tasikmalaya. Subjek diambil menggunakan teknik purposive sampling, dengan tujuan agar sampel yang diambil sesuai dengan tujuan penelitian. Pengumpulan data menggunakan observasi, tes dan dokumentasi. Analisis data yang digunakan adalah statistik parametrik dengan uji mean dan Gain. Hasil penelitian menunjukkan bahwa terdapat peningkatan hasil belajar bahasa Inggris siswa kelas XI setelah digunakannya media SEA-V dalam kegiatan pembelajaran. Hal ini ditunjukkan dengan rata-rata skor pre-test 55 dan skor post-test 82,5 atau rata-rata peningkatan sebesar 27,5. Hasil uji gain menunjukkan skor sebesar 0,61 yang menunjukkan peningkatan hasil belajar dalam kriteria sedang dan menunjukkan bahwa media SEA-V cukup efektif dalam meningkatkan hasil belajar bahasa Inggris siswa tunanetra. SEA-V terbukti efektif digunakan untuk meningkatkan hasil belajar Bahasa Inggris siswa tunanetra.
Co-Authors . Indahwati Abdullah Mubarok Abdulloh Mubarok Acep Hidayat Achmad Hufad Adi Pamungkas, Priyo Adiwena, Bartolomeus Yofana Agung Wahyudi Biantoro Ahmad Mulyadiprana Ahmad Ridwan Aini, Sylvi Noor Akhlan, Riksma Nurahmi Rinalti Al Obaidi, Abdulkareem Sh. Mahdi Al-Wahid, Azhar Aliyudin, Isfandina Aminul Fajri Anang Kurnia Anisa, Rosiana Salsa Aprillia, Imas Diana Ar Radi, Mohammad Ardisal Ardisal Arga, Kevin Arif Irawan, Arif Arif Wicaksono Arifin, Hadi S Aripiani, Dena Tresna Aritonang, Febriola Nova Fitri Asmaran, Adam Aulia Rizki Firdawanti Azita, Nabila Nurrachmatika Aziz, Muhammad Jiddan Azizah, Dian Fitria Badri, Lusi N Bagus Sartono Bahagia Bahagia Bahagia Bahagia Bahrudin Bahrudin Baihaqi Fanani Bela, Muhammad Rafi Wirdan Assyakir Tandu Budi Rahman Chaidir, Ainun Dahlan, Dadang - Damayanti, Fika Desiana Vidayanti Deviro, Sonya Okta Dewi Indriasih Dewi, Irma Arlini Dewi, Kiki Patricia Dewi, Nurul Huda Fitriani Dien Noviany Rahmatika Dito, Gerry Alfa Dudi Gunawan, Dudi Dwikorawati, Syarifah Sofiah El-sabagh, Mennatallah Eliskar, Nelvi Roza Eliyas, Andri Endang Rochyadi, Endang Enrica, Marsha Erdiawati S.R., Witri Erwin Hermawan Fachruddin Mangunjaya, Fachruddin Fajar, Ibrahim Fatima, Ratih Fatimah, Ratih Fitriani Fitriani Fitrianto, Anwar Freya, Wa Ode Rona Gatot, Masitowati Gena Diniarti Gibtha Fitri Laxmi Gunawan Putra, Hendy Gustiara, Dela Hafiz Taqwa Hakim, Anisah Oktafiani Hamasah, Abdullah Azzam Hapsari, Elvina Hasan, Herlina Herlina Herlina Hernawati, Tati hery saputra Hidayat, Fadil Hidayati, Oni Hidayaturrahman, Haerul Holidah, Siti Dedah Homdijah, Oom Sitti Humiras Hardi Purba Ida Royani Iding Tarsidi Ilham Marsudi Imas Diana Aprilia Indriany, Syilvia Indupurnahayu Intan, Seri Irwan Prasetyo Ismail, Gunawan Isnaini, Mardatunnisa Isnarabani, Isnarabani Jamalulael, Idrus Janah, Rahmatul Jawu, Patricia Kanicia Juli Riyanto Tri Wijaya Kaisar Gusti, Raynold Karwono, H Khoshsimov, Maksud Kusman Sadik Kusnendi, K. Kusumaningtyas, Nella Kusumastuti, Shinta Dewi Machfud Machfud Maharaeni, Amalia Mahben Jalil Mangunjaya, Fachruddin Majeri Mashudi, Rudy Maulana, Edi Sujati Maulina, Dwi Mawardi Amin Mei Rani Amalia Meihadi, Restu Mindita Pratiya, Mutiara Ayu Mohammad Arif Taboer Mohammad Syafei, Mohammad Muchlisah, Anugerah Mufarihah, . Muhadi, Rizqi Annafi muhamad iqbal Muhammad Isradi Murdiyanto, Edy Nadiyah, Farah Ashma Nadiyah, Salma Nandi Warnandi Ningrum, Almyanti Nurhastuti, Nurhastuti Nurhayati H.S. Arifin Nurhayati, Immas Nurlaili, Rizka Nurrochmi, Eka Alfiyah Nursaniah, Sofi Septiani Julaeha Oktaviani, Jehan Nabela Pangestika, Nur Amalina Widya Perhati, Tina Aris Ponijo, Ponijo Popy Novita Pasaribu Pradana, Rahadian Sakti Pratiwi, Riri Prayogi, Dicky Afdi Primasari, Dewi Pujiastuti, Zakiyah Puspa Eosina Putra, Dedy Anggara Putri, Lamina Amalia Putri, Nurpinayu Naharia Putri, Tasha Dwilamiisa Qurrotul Uyun, Hana Raden Hendra Ariyapijati Rahayu, Nuning Sapta Rahma, Sukma Laksita Rahmanissa, Fashihah Ramadhana, Rizki Ranti Novianti Renea Shinta Aminda Rimun Wibowo Rimun Wibowo, Rimun Rina Maryanti Rivaldi Virgiawan RIZQITA, ALYA JILAN Rumahorbo, Kusni Rohani Sadiyyah, Enung Siti Safarina, Winda Safaruddin Hidayat Al Ikhsan Safitri, Ratu D Saputra, Siti Dedah Holidah Saragih, Donna Evelina Sarifudin, Usep Saripudin, Usep Satria Wibawa, Satria Satyajati, Monika W. Sayaza, Mas Davino Setiono, Dedi Bangun Shafa, Qisthy Fathiya Shafa, Shalshabilla Siagian, Ira Ocktavia Sidik, Sahrul Sidik, Sahul Soemarna, Paula Amelia Hany Solihat, Ai Nur Sri Widati Subekti, Mr. Sulistyaningsih, Reny Sumarno . Sunardi Sunardi Suriyani, . Suryani, Ajeng Susilawati , Agnes Dwita Susilawati, Agnes Dwita Syafril, Muthia Syafwandi, Syafwandi Syarifah, Saniyatus Tambrin, Nita Nitya Intan Teguh Prasetyo Tin Budi Utami Tjahjo Tri Hartono Tri Permadi Trisamiyanto, Ferdinandus Danu Triswandari, Retno Utami, Irwanti Cinta Dwi Vegit Risana Hughes Waluyo Wanahad, Udin Wati, Indi Rakhma Wibowo, Wahyu Setyo Widad, Alfaniah Aufa Shidqi Al Widiatmaka Widjayanti, Indri Widya, Mamad Wiwi Siswaningsih Wiyanti, Sari Wulandari, Fransisca Diyan Inge Yuliasih, Umi Yuni Fitriani, Yuni Yuniarti Herwinarni Yunita, Eva Anggra Zulaikha, Aidha