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eka rahmawati
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Pemberdayaan Kelompok PUGAR Petani Makmur melalui Diversifikasi Garam menjadi Produk Kosmetik Mutmainnah, Putri; Azmin, Nikman; Haryati, Haryati; Agustina, Sry; Rahmawati, Eka
Bima Abdi: Jurnal Pengabdian Masyarakat Vol. 4 No. 4 (2024): Bima Abdi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/bajpm.v4i4.1145

Abstract

Kelompok PUGAR “Petani Makmur” desa Sanolo Kabupaten Bima dengan jumlah anggota sebanyak 30 orang, saat ini hanya menjual garam dalam bentuk garam krosok tanpa dilakukan pengolahan lebih lanjut, sehingga harga jual dan nilai tawarnya sangat rendah dan berpengaruh pada kesejahteraan petani garam. Kegiatan program Pemberdayaan Kemitraaan Masyarakat, bertujuan untuk memberikan pendampingan kepada Kelompok PUGAR Petani Makmur desa Sanolo kabupaten Bima, melalui diversifikasi pengolahan garam pascapanen, melalui pembuatan produk kosmetik berbasis garam. Kegiatan yang dilaksanakan terdiri dari Sosialisasi dan pelatihan pembuatan produk kosmetik berbasis garam yang dilanjutkan dengan Pelatihan Manajemen Usaha dan Pemasaran. Hasil yang diperoleh bahwa peserta yang merupakan anggota kelompok PUGAR Petani Makmur desa Sanolo kabupaten Bima, memperoleh pengetahuan dan pemahaman tentang diversifikasi garam melalui pembuatan produk kosmetik berbasis garam sehingga mampu menghasilkan produk seperti sabun, face scrub, krim lulur dan masker gel peel off serta mendapat peningkatan pengetahuan dalam mengembangkan usaha produk kosmetik dan pemasarannya.
Kidney dysfunction in children with thalassemia Lestari, Hertanti Indah; Rahmawati, Eka; Ayu, Dewi Rosariah; Fitriana, Eka Intan; Sari, Dian Puspita
Paediatrica Indonesiana Vol. 65 No. 4 (2025): July 2025
Publisher : Indonesian Pediatric Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14238/pi65.4.2025.337-45

Abstract

Background Children with thalassemia are at risk for kidney dysfunction due to chronic anemia, frequent blood transfusions, iron retention, and use of iron chelating agents. Cystatin C, an endogenous marker for assessing estimated glomerular filtration rate (eGFR), a novel biomarker for the early detection of kidney failure, has been reported to be potentially superior to the commonly used serum creatinine. Objective To evaluate various creatinine- and cystatin C-based formulas for eGFR to detect kidney dysfunction in children with thalassemia. Methods This was a cross-sectional study on children (age <18 years) with thalassemia. Kidney dysfunction was defined as eGFR <90 mL/minute/1.73 m2. Hyperfiltration was defined as eGFR >150 ml/minute/1.73 m2. This study compared the proportion of kidney dysfunction as determined using various creatinine- and cystatin C-based eGFR formulas, comprising the creatinine-based Schwartz formula, the cystatin C-based Filler formula, the creatinine-cystatin C-based New CKID formula, and the creatinine-cystatin C-based Schwartz formula. Results The median age of the 152 study subjects was 11.0 (range 2.0-18.0) years. When using the creatinine-based Schwartz formula, none of the subjects had kidney dysfunction. Kidney dysfunction was found in 21.7% of subjects when using the cystatin C-based Filler formula, in 26.3% of subjects when using the creatinine-cystatin C-based (New CKID) formula, and 59.9% of subjects using the creatinine-cystatin C-based Schwartz formula. When using the creatinine-based Schwartz formula, 38.2% subjects experienced hyperfiltration no hyperfiltration was found by when using other eGFR formulas. There was low correlation between creatinine and cystatin C (r=0.195; P=0.016). There was only mild agreement in eGFR between the creatinine-based Schwartz formula and the cystatin C-based Filler formula (k=0.195; P<0.001). Conclusion The proportion of kidney dysfunction in children with thalassemia based on eGFR calculation using cystatin C- and creatinine-cystatin C-based formulas ranged from 21.7% to  59.9%. No kidney dysfunction was found using a creatinine-only-based eGFR formula, whereas hyperfiltration was a common finding. Hence, more than one parameter should be considered for early detection of kidney dysfunction in thalassemia.
HUBUNGAN PENGETAHUAN IBU HAMIL TENTANG TANDA BAHAYA KEHAMILAN DENGAN KETERATURAN MELAKSANAKAN ANTENATAL CARE (ANC) Rahmawati, Eka; Silaban, Titin Dewi Sartika
JURNAL KESEHATAN TERAPAN Vol 8 No 2 (2021): Jurnal Kesehatan Terapan
Publisher : LPPM Universitas Kader Bangsa Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (414.82 KB)

Abstract

Background:Mortality and morbidity in pregnant and maternity women is a big problem in developing countries, around 25-50% of deaths in women of childbearing age are caused by problems related to pregnancy.Objective: This study aims to determine the relationship between knowledge of pregnant women about the danger signs of pregnancy and the regularity of carrying out antenatal care.Methods: The type of research used in this research is correlational analytic method, which is looking for the relationship between one variable and another to determine the relationship between knowledge of pregnant women about the danger signs of pregnancy and the regularity of carrying out Antenatal Care. The design used is cross sectional, which is a research design by measuring or observing at the same time, one time or a study. The sampling technique in this study is non-probability sampling, purposive sampling type, which is a sampling technique with certain considerations, all subjects who meet the inclusion criteria in the study, and obtained as many as 52 respondents. Results: The results showed that there was a relationship between the knowledge ofpregnant women about the danger signs ofpregnancy and theregularity ofcarrying out antenatal care with a p-value of 0.002 (p<0.05).Conclusion: There is a relationship between the knowledge of pregnant women about the danger signs of pregnancy and the regularity of carrying out antenatal care. Key words:Knowledge, Danger Signs of Pregnancy and Antenatal Care
Faktor-faktor yang berhubungan dengan penggunaan kontrasepsi jangka panjang di PMB Leni Gustian Palembang tahun 2024 Jamiyatun, Jamiyatun; Sari, Erma Puspita; Rahmawati, Eka; Handayani, Sri
Indonesian Journal of Health Science Vol 5 No 2 (2025)
Publisher : PT WIM Solusi Prima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54957/ijhs.v5i2.1422

Abstract

Metode Kontrasepsi Jangka Panjang (MKJP) merupakan salah satu program  kontrasepsi  yang efektif dari  pemerintah namun angka pencapaian akseptor MKJP masih tergolong rendah dibandingkan metode yang lain. Penggunaan kontrasepsi di dunia menurut data World Health Organization (WHO) lebih dari 100 juta pasangan menggunakan alat kontrasepsi yang memiliki efektifitas, dengan pengguna kontrasepsi hormonal sebesar 75% dan 25% menggunakan non hormonal. faktor-faktor yang mempengaruhi penggunaan metode kontrasepsi jangka panjang (MKJP) adalah karakteristik seperti pendidikan, pengetahuan, lingkungan (jarak dari pelayanan kesehatan), biaya dan dukungan suami. Tujuan penelitian yaitu Diketahui hubungan pengetahuan, peran petugas kesehatan dan dukungan suami secara simultan dengan penggunaan kontrasepsi jangka panjang di PMB Leni Gustian S.Keb Palembang Tahun 2024. Metode penelitian menggunakan rancangan cross sectional. Populasi penelitian yaitu peserta KB aktif yang datang di PMB Leni Gustian berjumlah 50 responden. Teknik sampling menggunakan total sampling. Hasil analisa univariat diperoleh penggunaan MKJP sebanyak 32%, pengetahuan baik 36%, peran petugas kesehatan mendukung 56% dan dukungan suami 40%. Hasil uji chi square menunjukkan ada hubungan pengetahuan secara parsial dengan penggunaan MKJP dengan p value 0.000, ada hubungan peran petugas kesehatan secara parsial dengan penggunaan MKJP p value 0.000 dan ada hubungan dukungan suami secara parsial dengan penggunaan MKJP di PMB Leni Gustian S.Keb Palembang tahun 2024 dengan p value 0.000. Diharapkan kepada pihak terkait untuk meningkatkan program keluarga berencana terutama MKJP.  
Faktor-Faktor yang Mempengaruhi Rendahnya Capaian Imunisasi Booster Campak pada Anak Usia 18 Sampai 24 Bulan di Puskesmas Petaling Kabupaten Banyuasin Yuliani, Yuliani; Arif, Ahmad; Rahmawati, Eka; Wathan, Fika Minata
Jurnal Kesehatan Saintika Meditory Vol 7, No 1 (2024): Mei 2024
Publisher : STIKES Syedza Saintika Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30633/jsm.v7i1.2000

Abstract

Berdasarkan  Profil Kesehatan indonesia Suspek campak pada tahun 2018 sebesar 3,18 % per 100.000 penduduk, kemudian  pada  tahun  2019  angka  tersebut meningkat menjadi sebesar 3,29 %  per 100.000 penduduk. Sumatera Selatan menjadi salah satu wilayah dengan kasus campak klinis yang terbilang cukup tinggi. Imunisasi Booster adalah ulangan imunisasi dasar untuk memperpanjang masa perlindungan atau mempertahankan tingkat kekebalan anak yang sudah mendapatkan imunisasi dasar. Penelitian ini bertujuan ingin mengetahui   hubunganPengetahuan Ibu, minat ibu dan peran petugas kesehatan dengan Rendahnya Capaian Imunisasi Booster Campak Pada Anak Usia 18 sampai 24 Bulan di Puskesmas Petaling Kabupaten Banyuasin Tahun 2023. Metode pada penelitian ini menggunakan metode pendekatan cross sectional dengan populasi 66 anak dan sampel 66 anak menggunakan tehnik total sampling. . Analisis data menggunakan uji statistic chi square dengan p value α (0,05).  Hasil penelitian ini dari 41  responden yang berpengetahuan kurang baik 33 (80,5%) responden tidak lengkap imunisasi booster campak dengan  p value = 0,000, dari 38 responden ibu yang berminat 30 (78,9%) responden tidak lengkap imunisasi booster campak dengan p value = 0,002, sedangkan dari 57  responden yang berperan 39 (68,4%) responden tidak lengkap imunisasi booster campak dengan  p value = 0,022. Petugas kesehatan diharapkan agar bisa meningkatkan pemberian edukasi kepada ibu yang mempunyai anak balita mengenai pentingnya pemberian imunisasi booster campak.
Implementasi Support Vector Machine dan Resampling dalam Analisis Ulasan Pengguna Google Maps Khultsum, Umi; Rahmawati, Eka; Rahmawati, Annida; Annajib, Barra Rifki; Anggita, Christina Yuli
Jurnal Komtika (Komputasi dan Informatika) Vol 9 No 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v9i2.14813

Abstract

The development of information technology has driven the increasing use of digital services such as Google Maps, which functions not only as a navigation tool but also as a platform for users to provide reviews. These reviews serve as an important data source for sentiment analysis; however, they are often unstructured and contain noise. This study aims to conduct sentiment analysis using the Support Vector Machine (SVM) model with the application of resampling techniques to address data imbalance issues in user reviews of the Google Maps application. A total of 1,000 recent reviews were collected through a scraping process, followed by data cleaning (lowercasing, stopwords removal, stemming, and lemmatization) and data preprocessing. The SVM model combined with resampling techniques was then implemented and evaluated using accuracy, precision, and recall metrics. The results indicate that the SVM model achieved an accuracy of 81%, with a weighted average precision of 0.79, recall of 0.81, and F1-score of 0.76. These findings demonstrate that applying resampling techniques to SVM yields good performance in sentiment classification. The study is expected to contribute to the development of sentiment analysis methods using the SVM model with resampling in the context of Google Maps reviews.
Desain Sistem Gamifikasi Digital Berbasis Octalysis dan MDA Framework untuk Promosi Pariwisata Kota Surakarta Agustina, Candra; Rahmawati, Eka; Permata, Afifta Ilham; Laily, Isnaini Mufidatul
Jurnal Komtika (Komputasi dan Informatika) Vol 9 No 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v9i2.14820

Abstract

Tourism plays a strategic role in driving local economic growth and preserving culture. However, the City of Surakarta still faces challenges such as the low length of stay of tourists and the lack of connectivity between destinations. This study aims to design a digital gamification strategy as an innovative approach to enhance the competitiveness of regional tourism. The research method used is mixed methods, combining qualitative and quantitative approaches. Data were collected through field observations, in-depth interviews with tourism stakeholders, surveys distributed to tourists, and trials of web- or mobile-based gamification applications. Qualitative data were analyzed using a thematic approach, while quantitative data were examined using descriptive and inferential statistics. The theoretical foundations applied are the Octalysis Framework and the MDA Framework (Mechanics–Dynamics–Aesthetics) to design game elements such as points, badges, challenges, and leaderboards in tourism promotion. The expected outcome is the development of a contextual and applicable digital gamification strategy model that can increase tourist engagement, extend the length of stay, and more evenly distribute economic benefits across the tourism ecosystem. This research contributes both academically and practically, serving as a guideline for local governments and tourism industry players to adopt interactive and sustainable digital strategies.
Peran Pesantren Sebagai Pusat Konseling Pernikahan Islami Dalam Mewujudkan Keluarga Sakinah Di Jombang Rahmawati, Eka; Amriana
MUHAFADZAH: Jurnal Ilmiah Bimbingan dan Konseling Islam Vol 6 No 1 (2025): November, Muhafadzah: Jurnal Ilmiah Bimbingan dan Konseling Islam
Publisher : Program Studi Bimbingan dan Konseling Pendidikan Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53888/muhafadzah.v6i1.897

Abstract

Marriage in Islam aims to form a harmonious, loving, and compassionate family. However, the increasing divorce rate in Indonesia, including in Jombang, demonstrates the need for efforts to strengthen family resilience through a spiritual approach. Islamic boarding schools, as traditional Islamic educational institutions, play a crucial role in providing marriage guidance and counseling based on Islamic values. This study aims to analyze the role of Islamic boarding schools in Jombang as centers for Islamic marriage counseling in realizing a harmonious family. The research method used is descriptive qualitative with a library research approach, through analysis of various scientific literature and secondary data sources related to Islamic counseling guidance and the social role of Islamic boarding schools. The results show that Islamic boarding schools have three main functions in marriage counseling: preventive (premarital guidance), curative (resolving domestic conflicts), and educational (continuous family guidance). These three functions strengthen the role of Islamic boarding schools as institutions for moral and spiritual development in the community. In conclusion, Islamic boarding schools play a strategic role in helping married couples build harmonious families based on Islamic values, as well as being effective counseling centers in realizing a harmonious family in Jombang.
Machine Learning for Post-Disaster Building Damage Classification and Rehabilitation Recommendation: A Review Rahmawati, Eka; Edi Widodo, Catur; Koesuma, Sorja
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 01 (2026): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i01.2532

Abstract

Accurate classification of building damage following disasters plays a critical role in facilitating efficient rehabilitation and reconstruction. Traditional field-based assessment methods, however, present significant limitations—including time inefficiencies, susceptibility to subjective interpretation, and potential safety risks for survey personnel. Recent advancements in machine learning (ML) have significantly improved the efficiency and objectivity of post-disaster damage assessment by leveraging diverse data sources such as satellite imagery, unmanned aerial vehicles (UAVs), and even crowdsourced social media content. This study conducts a narrative literature review of 78 peer-reviewed articles published from 2020 to 2024, focusing on ML-driven methodologies for classifying building damage and generating rehabilitation recommendations. The literature review reveals a prevailing reliance on deep learning models—especially convolutional neural networks (CNNs) and transformer-based architectures—due to their robust accuracy and adaptability across varied disaster scenarios. Furthermore, novel approaches like self-supervised learning, ensemble methods, and few-shot learning show promising potential in addressing challenges posed by sparse or unevenly distributed datasets. Despite rapid advancements in ML-based post-disaster building damage classification, real-world implementation remains constrained. This review synthesizes current trends, persistent challenges, and critical research gaps to inform the development of a robust ML framework for post-disaster recovery efforts. This study uniquely highlights the integration of ML-based classification with rehabilitation planning frameworks, providing practical guidance for disaster management agencies to optimize post-disaster recovery strategies.
Identifikasi Kemampuan Akademik Mahasiswa Menggunakan K-Means Clustering Rahmawati, Eka; Chrisnanto, Yulison Herry; Maspupah, Asri
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 3 No. 1 (2019): PROSIDING SEMNAS INOTEK Ke-III Tahun 2019
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v3i1.518

Abstract

Peningkatan peran dosen dalam penjaminan mutu di perguruan tinggi akan tercapainya kinerja akademik yang sesuai dengan kemampuan yang dimiliki oleh mahasiswa. Untuk menganalisa kinerja akademik sendiri berarti mengidentifikasi keunikan-keunikan yang ada pada mahasiswa sehingga dalam mengidentifikasi keunikan- keunikan tersebut akan terdapat variabel-variabel yang berpengaruh terhadap kemampuan akademik mahasiswa. Dalam mengidentifikasi kemampuan akademik mahasiswa tidak semua variabel yang digunakan akan berpengaruh terhadap kemampuan akademik mahasiswa. Salah satu cara untuk mengetahui variabel yang berpengaruh terhadap kemampuan akademik mahasiswa yaitu dengan algoritma K-Means Clustering. Penelitian ini menghasilkan sistem yang dapat mencari kombinasi variabel untuk dapat mencerminkan suatu kemampuan akademik dari mahasiswa sehingga terdapat variabel yang tidak berpengaruh terhadap kemampuan akademik mahasiswa dengan menggunakan K-Means Clustering. Hasil pengujian menunjukkan bahwa terdapat variabel yang tidak berpengaruh terhadap kemampuan akademik sehingga terdapat 23 data kemampuan akademik mahasiswa yang tidak sesuai dengan kategori cluster sebelumnya. Hasil penelitian ini juga menunjukkan bahwa terdapat 73 data kemampuan akademik mahasiswa yang sesuai dengan kategori cluster sebelumnya sehingga memiliki nilai akurasi 73% dan dari semua jumlah cluster yang dimasukkan, untuk cluster yang berjumlah 3 memiliki nilai silhouette coefficient yang paling mendekati nilai Si=1 dengan nilai 0.835409226.
Co-Authors A. Kemal Riza A.A. Ketut Agung Cahyawan W Adani, Dinabilah Adani, Dinabilah Adi Wibowo Afriani, Yulia Agustina, Risqi Amalia Ahmad Arief Ahmad Arif Ahmad Fauzan Ahmad Shofiyuddin Ichsan Akbar, Khilda Ngiliya Akhmad Syukron Al-Maliki, Muhammad Alwi Al-Maliki, Muhammad Alwi Alfiandra Alfiandra, Alfiandra Amir Mahmud Amlah, Amlah Amriana Ananda, Delya Saski Anggia Suci Pratiwi Anggita, Christina Yuli Annajib, Barra Rifki Aprillia, Della Arie Anggraini Arya, Ghaitsa Zahira Asikin, Siti Badria` Asri Maspupah Asrodin, Mukhammad Astin Nur Hanifah Asyari, Utep Aulia R, Vina Ayu Fitriana Ayu Puji Lestari Budi Hendrawan Budi Warsito Candra Agustina Catur Edi Widodo Chandra Kesuma Damayanti, Arista Desy Aryani Putri Aryani Putri, Desy Aryani Putri Dewi Rosariah Ayu Dewi, Bela Purnama Dewi, Chitra Dian Puspita Sari Dian Sari Drianti, Astik Dwijayani, Lidya Dwiza Riana Eka Afrika Eka Intan Fitriana Ekaria, Titin Erita, Melli Ernawati Ernawati F, Nanda Laelatul Fachry Abda El Rahman Fadli, Mohamad Fairuzy, Rifda Fatmawati, F Fauzi Ahmad Muda Fauziah, Gaitsa FIKA MINATA WATHAN Firdausa, Ummi Sauqinna Fitria, Febby Zuriani Fransisca Natalia Galih Setiawan Nurohim Ghazali, Puspa Liza Gian Sugiana Sugara, Gian Sugiana Gunawan Budi Sulistyo Hadi Pratomo Hadijah Hadijah Handayani, Sri Hardyanti, Dini Harisman, Gani Haryati Haryati HELNI ANGGRAINI Henny Sanulita Hermadianti, Nisa Hertanti Indah Lestari, Hertanti Indah Hutasoit, Julinda Imami Nur Rachmawati Inayah, Maudila Ince Raden Indah Anisykurlillah Indraini, Putu Lusita Nati Indri Neforawati, Indri Indriani, Putu Lusita Nani Intan Saputri, Meida Irdamurni ismu nandar Ismunandar Jamiyatun, Jamiyatun Kancanadana, Galuh Karno Karno Khasanah, Aswatun Khoiriawati, Novi Khultsum, Umi Khusnul H, Resya Fauka khusnul khotimah Koesuma, Sorja Komala Sari, Siti Nur Kurniasih, Sinta Kusuma, Ana Dwi Kutiah, Kutiah Laily, Isnaini Mufidatul Laksmi Dewi, Laksmi Lasmijiani, Lasmijiani Latama, Arfah Latif, Farida Linda Setiawati, Linda Linda, Aulia Nova Lusiyanti, Ayang Maharani Maharani, Maharani Mariati, Piska Mastina, Mastina Mayangsari, Ita MERISA RISKI Meta Anggraini Mildaratu, Mildaratu Mudrikah, Ika Muhammad Subhan Mujiarto, Mujiarto Murniati . Mutiah Mutiah Mutiara Hikmah Mutmainnah, Putri Nabila, Dita Dwi Nikman Azmin Ningsih, Arfita Nita Aryani Noviyanti, Toyiba Nurdian Susilowati Nurhanifah Nurhanifah Nurhasanah Nurhasanah Nurlaeli, Nurlaeli Nurmiati Nurmiati Permata, Afifta Ilham Pesihatu, Jumeiyanti Fajar Sitta Prabowo, Dimas Luhur Aji Pratiwi, Cici Pujiono, Topan Purwanti, Shandy Novilya Puspita Sari, Erma Putra, Alfariza Dwi Mandala Putri, Mirta Dwi PUTU LUSITA NATI INDRIANI Qodriyah, Indah Nor Rachmadiah, Yudith Ragil Wijianto Rahmadani, Sendy Pratiwi Rahmawati, Annida Rama, Faby Toriqir Rama, Faby Toriqir Ratna Dewi Reffi Dhamayanti Rifaldi, Ari Risda Amini Riswanti, Riswanti Rizki Amalia Rochyat, Erwin Arief Romadhon, Muhammad Rosmiati Rosmiati Rusmini, Siti Sabriana, Riska Samsinar Samsinar Saputro, Iksan Adi Sardiarinto Sardiarinto Sari, Erma Puspita Sari, Noor Vita Sartika S, Titin Dewi Sartika, Veira Delli SENDY PRATIWI RAHMADHANI Sholikah, Marhatun Sintia, Tia Siti Aisyah SITI AISYAH HAMID Sitta Pesihatu, Jumeiyanti Fajar Solekah, Khofifah Nur Sonia , Bella Sri Maryati Sri Rejeki Sri Wahyuni Sry Agustina Sunanih Sundari Sundari Suprida, Suprida Supriyadi, Andhi Supriyanta Supriyanta Suryana, Ella Suswati, Lis SYAHRANI SYAHRANI Syamsul Hadi Senen, Syamsul Hadi Syihatinal A, Ahlis Thahirah, Thahirah Timor, Meri Ratna TITIN DEWI SARTIKA SILABAN Treasa, Adisty Dwi Ubaidillah, Amin Usemahu, Nurma Yuni Pary Vembria Rose Handayani Wahyu Ernawati Wahyuni, Ismi Wardani, Rina Winda Istiandini Wiranti, Bhakti Yesi Gusmania, Yesi Yosi Eka Putri Yuliani Yuliani Yulison Herry Chrisnanto Yunita Kristina Zaenal Abidin