Article Per Year (5 Year)
p-Index From 2021 - 2026
10.714
P-Index
This Author published in this journals
All Journal EKUIVALEN - Pendidikan Matematika JURNAL GIZI INDONESIA Jurnal Kesehatan Masyarakat Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Jurnal Ilmiah Widya Jurnal Riset Kesehatan Jurnal Teknik Pengairan: Journal of Water Resources Engineering Program Kreativitas Mahasiswa - Pengabdian Kepada Masyarakat I-ECONOMICS: A Research Journal on Islamic Economics Jurnal Penelitian Humaniora EduChemia: Jurnal Kimia dan Pendidikan Edufisika: Jurnal Pendidikan Fisika JOIV : International Journal on Informatics Visualization JIKO (Jurnal Informatika dan Komputer) Jurnal SOLMA Journal Of Nursing Practice Jurnal Akuatiklestari Diksa : Jurnal Pendidikan Bahasa dan Sastra Indonesia Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Basicedu Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ JKM (Jurnal Kebidanan Malahayati) Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat SEINASI-KESI Jurnal Kesehatan Jurnal Sehat Mandiri Jurnal Review Pendidikan dan Pengajaran (JRPP) Building of Informatics, Technology and Science Jurnal Ilmiah Kebidanan Indonesia (Indonesian Midwifery Scientific Journal) Kappa Journal Jurnal Keperawatan Widya Gantari Indonesia Indonesian Journal of Business Intelligence (IJUBI) Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Prima Ekonomika : Jurnal Ekonomi dan Bisnis Respati JPPIPA (Jurnal Penelitian Pendidikan IPA) Aksara: Jurnal Ilmu Pendidikan Nonformal Science Midwifery JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Jurnal Ilmiah Al-Tsarwah EPSILON Jurnal Pendidikan Matematika Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Kebidanan Khatulistiwa Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Jurnal Kesehatan Tambusai Journal Peqguruang: Conference Series Idea Pengabdian Masyarakat Journal of Innovation in Community Empowerment (JICE) Jurnal Penelitian Inovatif Jurnal Abdimas Kartika Wijayakusuma Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Jurnal Pengabdian Masyarakat Indonesia Maju (JPMIM) Indonesian Journal of Health Information Management (IJHIM) Kolaborasi Jurnal Pengabdian Masyarakat Mabsya: Jurnal Manajemen Bisnis Syariah Jurnal Penelitian Musik Jurnal Basicedu Journal of Intelligent Software Systems Jurnal Riptek Journal of Tourism Education Cerdika: Jurnal Ilmiah Indonesia Innovative: Journal Of Social Science Research Schrödinger: Journal of Physics Education Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat Chemedu: Jurnal Ilmiah Pendidikan Kimia Jurnal Informatika: Jurnal Pengembangan IT Medic Nutricia : Jurnal Ilmu Kesehatan Jurnal Pengabdian Masyarakat Jurnal Penelitian Multidisiplin Bangsa Journal of Information System and Application Development SWAGATI: Journal of Community Service Jurnal Penelitian Musik INTERACTION: Jurnal Pendidikan Bahasa Jurnal Info Kesehatan Hospitality Management and Operations Journal JPT : Jurnal Pendidikan Tematik JIM Sendratasik Jurnal Abdimas Dosma
Yuli Astuti
Jurusan Pendidikan Guru Sekolah Dasar Fakultas Keguruan dan Ilmu Pendidikan Universitas Musamus
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 100 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 100 Documents
Search

 6   7   8   9   10 
Perbandingan Kinerja Algoritma K-means dan Agglomerative Clustering Untuk Segmentasi Penjualan Online Pada Customer Retail Ramadhan, Ghanim; Astuti, Yuli
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.5735

Abstract

This research focuses on the comparison between two popular algorithms in data science, namely K-means and Agglomerative Clustering algorithms. The main context of this research is customer data segmentation, a very important process in the business world to understand and serve customers better. The main objective of this research is to evaluate and compare the performance of the two algorithms in generating effective and efficient customer segments. In this research, the dataset used is a retail customer dataset. This dataset includes various attributes that reflect customer characteristics and behavior. To measure the performance of both algorithms, this research uses the RFM (Recency, Frequency, Monetary) weighting method. This method is a commonly used method in customer analysis to identify the most valuable customers based on how recently they transacted (Recency), how often they transact (Frequency), and how much their transactions are worth (Monetary). In addition, this research also uses an evaluation metric known as silhouette score. This metric is used to measure how well an object fits into its own cluster compared to other clusters. The results of this study provide valuable insights into the quality of both algorithms in segmenting customer data. It was found that the K-Means algorithm produced a silhouette score value of 0.5087, while Agglomerative Clustering produced a higher value of 0.6363. This suggests that, in the context of this dataset, Agglomerative Clustering may be more effective compared to K-Means. However, further research is certainly needed to validate these findings and to further explore how these two algorithms can be optimized for customer data segmentation
The Effect Of Blood Transfusion On The Risk Of Hepatitis B Infection In Hemodialysis Patients : Meta Analysis Astuti, Yuli; Dewi, Yulia Lanti Retno; Murti, Bhisma
Jurnal Riset Kesehatan Vol 14 No 1 (2025): MEI 2025
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jrk.v14i1.9342

Abstract

Background Hepatitis B is caused by infection with the Hepatitis B virus, this disease affects 240-280 million people in the world. Hepatitis B virus causes chronic disease that develops in liver damage, cirrhosis and liver cancer, more than 600,000 people die every year. Giving repeated blood transfusions increases a person's risk of developing hepatitis infection. Hemodialysis patients who receive blood transfusion therapy are more at risk of developing hepatitis infection. Objective of this study was to study and estimate the influence of blood transfusion history on the risk of hepatitis B infection in hemodialysis patients based on the results of previous similar studies by meta-analysis. Method is a meta-analysis conducted by searching for articles from the databased Google Scholar, PubMed, Springer Link, and Research Gate. The keywords used were "blood transfusion" OR "risk factor" AND "HBV" OR "hepatitis B infection" OR "TTI" AND "patient hemodyalysis" OR "Patient renal failure". The inclusion criteria in this study were full text articles, from 2000-2020, with a cross sectional study design. Article analysis using RevMan 5.3. Results of data analysis studies 6 articles in the forest plot, giving blood transfusions was able to increase the incidence of hepatitis B infection in hemodialysis patients 1.30 times more at risk than those who did not transfuse, statistically significant (aOR 1.30; 95% CI = 1.02-1.66; p = 0.03) and based on the funnel plot, there was no publication bias. Conclusion blood transfusion affects hepatitis B infection in hemodialysis patients.
STRATEGI INTERNALISASI NILAI-NILAI KEJUANGAN JENDERAL ACHMAD YANI DALAM MEMBENTUK KARAKTER MAHASISWA Ningsih, Kori Puspita; Purbobinuko, Zakharias Kurnia; Riyadi, Sujono; Barokah, Liberty; Sugiyono, Sugiyono; Rukmi, Dwi Kartika; Astuti, Yuli
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 4 (2024): Special Issue Vol. 7 No. 4 Tahun 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i4.37964

Abstract

Proses internalisasi pendidikan karakter di lembaga pendidikan tidak dapat dilakukan secara instan, namun secara bertahap dan terus-menerus. Universitas Jenderal Achmad Yani Yogyakarta (Unjaya) sebagai lembaga pendidikan berperan sangat besar dalam memberikan pengaruh dalam membentuk karakter mahasiswa untuk dapat mengamalkan Nilai Kejuangan Jenderal Achmad Yani (NKJA) dalam kehidupan sehari-hari. Penelitian ini bertujuan untuk mengeksplorasi strategi NKJA dalam membentuk karakter mahasiswa. Jenis penelitian ini adalah penelitian deskriptif dengan pendekatan kualitatif. Teknik pengumpulan data dengan menggunakan wawancara, observasi dan studi dokumentasi. Lokasi penelitian dilakukan di Fakultas Kesehatan Unjaya. Hasil penelitian menunjukkan Fakultas Kesehatan Unjaya berupaya membentuk karakter mahasiswa melalui internalisasi NKJA sejak resmi menjadi mahasiswa Unjaya. Internalisasi NKJA dalam membentuk karakter mahasiswa sejalan dengan Visi Misi Fakultas Kesehatan Unjaya. Arah kebijakan internalisasi NKJA dirumuskan dalam Rencana Strategis dengan mengangkat sebagai salah satu Indikator Kinerja Utama (IKU) Fakultas Kesehatan Unjaya. Nilai-nilai NKJA meliputi Nasionalis, Patriotik dan Heroik. Strategi internalisasi melalui adanya mata kuliah penciri NKJA, melaksanakan program Achmad Yani Muda dan mengintegrasikan penilaian sikap NKJA dalam pembelajaran. Melalui Pendidikan karakter NKJA tersebut, diharapkan dapat membentuk mahasiswa dan lulusan yang memiliki sikap toleransi, adaptif, budi pekerti, cinta tanah air, berani, rela berkorban, mentaati aturan, bertanggungjawab dan prestatif serta mampu menjadi role model.
Pemberdayaan Dasawisma Melalui Pelatihan Terapi Komplementer Baby Massage di Wilayah Kelurahan Pondok Ranggon Jakarta Timur Alita Suroso, Riadinni; Astuti, Yuli; Safari, Uum; Riani, Nova; Novita Sani, Dhien; Setiarini, Tatik
Jurnal SOLMA Vol. 13 No. 1 (2024)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v13i1.14100

Abstract

Pendahuluan: Pertumbuhan fisik bayi yang optimal sangat penting. Jakarta Timur mencatat 132.350 kelahiran pada 2023, tertinggi di wilayah lain. Banyak kader dasawisma di sini belum pernah mendapat pelatihan pijat bayi dan sangat tertarik. Oleh karena itu, Prodi DIII Keperawatan Universitas Bhakti Kencana PSDKU Jakarta mengadakan penyuluhan dan pelatihan baby massage. Metode: Kegiatan dilakukan melalui survei wilayah, dialog dengan pejabat, promosi kesehatan, pelatihan baby massage, dan evaluasi. Pelatihan diikuti oleh 20 kader dasawisma. Hasil: Pelatihan meningkatkan pengetahuan dari 7,15 menjadi 9,55 dan sikap dari 32,10 menjadi 35,15. Analisis menunjukkan peningkatan signifikan (p=0.000). Kesimpulan : Pelatihan baby massage meningkatkan pengetahuan dan sikap kader dasawisma di Jakarta Timur. Upaya berkelanjutan diperlukan untuk memastikan dampak jangka panjang, termasuk pengukuran pertumbuhan fisik bayi.
Pelatihan Pembuatan Mesin Spinner Kripik Ubi Madu Berpenggerak Motor Listrik Pada Karang Taruna Orpega 02 (Organisasi Pemuda Erlangga) Desa Wisata Tawangmangu Jawa Tengah fakhrudi, yoga; Faizin, Kholis Nur; Arifin, Agus Choirul; Puspitasari, Indah; Bisono, Rahayu Mekar; Astuti, Yuli
JURNAL ABDIMAS DOSMA (JAD) Vol. 2 No. 2 (2023): JUNI
Publisher : IKATAN ALUMNI DOSEN MAGANG KEMENRISTEKDIKTI TAHUN ANGKATAN 2017

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70522/jad.v2i2.35

Abstract

In the food processing industry, such as various types of crackers, various fried peanuts and various other packaged foods, the durability and durability of these food products must of course be given great attention. One of the reasons why various foods are not durable and expire quickly is the high oil content contained in these various foods. Manually draining oil is certainly not effective for the production of various foods in large quantities on an industrial scale. For that we need a tool or machine that can drain and reduce the oil content that is still contained in these various foods. The machine used is honey sweet potato chip spinner machine. Tawangmangu Village, Tawangmangu District, Central Java is known as a tourist area which is located on the slopes of Mount Lawu with various kinds of tourist beauty presented. Tourists often come to enjoy the natural beauty of Tawangmangu which is also rich in natural products, one of which is sweet potato honey. However, local residents cannot maximize honey sweet potato as a special food which is used as souvenirs for tourists, so there is a need for an effort to engineer food processing made from honey sweet potato in the form of procurement and training of electric powered honey sweet potato chip spinner machines for Karang Taruna Orpega 02 (Organization Erlangga Youth) in the Tawangmangu Village, Central Java. At the time of implementation, Mitra's enthusiasm was very large to take part in a series of training events for making food slicer spinners. There were 20 members of the youth group who took part in a series of training activities.
Upaya Peningkatan Pengetahuan tentang Persiapan Persalinan pada Kehamilan Risiko Rendah Farizi, Sofia; Amalia, Rize Budi; Astuti, Yuli; Yudanagara, Bani Bacan Hacantya; Novitasari, Selviyani; Mulyaningtyas, Fahmida Cahya; Claresta1, Aurellia Rahma
Kolaborasi: Jurnal Pengabdian Masyarakat Vol 5 No 6 (2025): Kolaborasi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Inspirasi El Burhani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56359/kolaborasi.v5i6.730

Abstract

Introduction : The rate of cesarean deliveries in Indonesia continues to rise, particularly in major cities such as Surabaya, exceeding the 15% limit recommended by the World Health Organization (WHO). The low rate of Vaginal Birth After Cesarean (VBAC) and the limited autonomy of women in choosing their mode of delivery highlight the need for a new approach. Midwifery Led Care is considered effective in reducing medical interventions and promoting a safe, natural birth experience. Objective : The purpose of this service was to increase women's knowledge about preparing for childbirth by promoting natural birth. Method : This public service was conducted by lectures and an analysis of knowledge changes was conducted through pre-tests and post-tests. The evaluation was carried out by comparing the results of the pre-tests and post-tests. Result : This community service activity demonstrated an increase in pregnant women's knowledge regarding childbirth preparation. Of the 10 participants, all of whom were pregnant in their third trimester, the majority had a high school education (70%). Based on pre- and post-test results, the level of knowledge increased from 80% to 100% after the intervention of education classes and prenatal exercises. These results demonstrate that structured and participatory health education is effective in improving pregnant women's readiness for childbirth, particularly in the context of implementing the concepts of Midwifery-Led Care and natural birth.
Effect of GEMARA (Monopoly Educational Game on Anemia) on Knowledge and Attitudes Toward Anemia Prevention Among Adolescents: A Health Belief Model Approach Astuti, Yuli; Piping Asgiani; Dyah Artini
Jurnal Riset Kesehatan Vol 14 No 2 (2025): NOVEMBER 2025
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jrk.v14i2.13969

Abstract

Adolescent anemia is a public health problem requiring special attention. It is commonly caused by iron deficiency related to rapid growth, menstrual blood loss, poor nutritional intake, unhealthy dietary habits, and inadequate knowledge about iron-rich foods and anemia prevention. Low adherence to iron supplementation and frequent consumption of foods that inhibit iron absorption further increase risk. Evidence shows that 16% of 50 adolescents experienced anemia. Effective educational strategies are needed to improve knowledge and attitudes. Health education becomes more attractive for adolescents when delivered using game-based learning, such as Monopoly educational media. To determine the effectiveness of GEMARA (Monopoly Educational Game on Anemia) using the Health Belief Model approach in improving adolescents’ knowledge and attitudes toward anemia prevention. A quasi-experimental one-group pretest–posttest design was conducted among 38 FORPIS PMI Yogyakarta members using total sampling. Intervention consisted of one session of health education using the GEMARA game with a peer-group approach. Data were collected with validated and reliable questionnaires adapted from previous studies (r > 0.361; Cronbach alpha > 0.70). Knowledge (numeric) and attitudes (ordinal) were analyzed using Wilcoxon Signed-Rank Test with SPSS 23. Knowledge improved significantly from fair (47.4%) and good (47.4%) to 76.3% good, with no poor category. Positive attitudes increased from 50% to 100%. Wilcoxon Signed-Rank Test indicated significant improvement (p=0.000; p=0.002). This improvement was driven by interactive learning that increased engagement and motivation. GEMARA is effective in improving adolescents’ knowledge and attitudes toward anemia prevention through the Health Belief Model.
K-Means Algorithm Analysis for Election Cluster Prediction Wahyuni, Sri Ngudi; Khanom, Nazmun Nahar; Astuti, Yuli
JOIV : International Journal on Informatics Visualization Vol 7, No 1 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.1.1107

Abstract

The general election is a democratic process that is carried out in every country whose system of government is presidential, including Indonesia, which conducts it every five years. In fact, some people abstain, leading to budget wasting and missing target. Thus, it is very important to identify clusters of general election districts and map the number of voters to map the budget for the upcoming election. This process needs prediction to help reduce budgeting risk as an early warning. Based on the latest election data taken from Margokaton, Yogyakarta, Indonesia, many people voted in 2021, but the number of abstainers is high. In this case, cluster prediction is important to identify the election participants in each area. The K-Means algorithm could also predict abstainer areas in election activities to facilitate early mitigation in drafting election budgeting. Therefore, this study aimed to identify the pattern of voters in the election using the K-means algorithm. The data parameters comprised the list of voters, Unused ballot papers, and the sum of abstainers. This study is important because it contributes to reducing the election budget of each area. The data obtained from the Indonesia Ministry of Internal Affairs official website in 2021 were processed using the RapidMiner tool. The results showed more than 11% of the non-voters in cluster 1, 16% in Cluster 2, and 8% in cluster 3. The evaluation of clusters value is 2.04, indicating that the clustering using K-means is suitable, as shown by the DBI value close to 0. The results indicate that testing the cluster optimization of the K-Means algorithm using DBI is highly recommended. Based on this prediction result, the government needs special attention to clusters with many abstainers to decrease the number of abstainers and prevent overbudgeting. These results indicate the need to review the election participant data in 2024. Furthermore, there is a need for continuous socialization and education about election activities to reduce the number of abstainers and prevent overbudgeting.
Adopting AI-Powered Automation for Optimizing Hotel Operational Performance: A Cross-Country Comparative Study Ratnasari, Wahyu; Astuti, Yuli
Hospitality Management and Operations Journal Vol. 2 No. 2 (2025): Hospitality Management and Operations Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/hmoj.v2i2.46

Abstract

Rapid advancements in artificial intelligence (AI) and service automation have transformed operational models in the global hospitality industry. Hotels increasingly implement AI-powered technologies such as automated check-in systems, service robots, predictive analytics, and intelligent housekeeping tools to enhance efficiency, reduce labor costs, and improve service quality. However, AI adoption varies significantly across countries due to differences in digital readiness, cultural acceptance, workforce adaptability, and investment capacity. This study aims to examine how AI-powered automation influences hotel operational performance across countries with different levels of technological maturity. A comparative study across five countries examined operational metrics and managerial insights from 210 hotels. The findings reveal that AI adoption enhances operational performance across all countries, though to varying degrees. Hotels in high-adoption countries reported up to a 45% improvement in operational efficiency, while those in emerging economies achieved 18–25% gains, constrained mainly by infrastructural and organizational factors. The study concludes that AI-powered automation delivers substantial operational benefits, but its effectiveness depends on contextual factors, including digital infrastructure, investment capacity, and cultural acceptance. This research contributes to the hospitality management literature by offering one of the first empirical, multi-country models explaining differential AI performance outcomes and by providing strategic guidance for hotel managers planning AI integration across diverse markets.
PENERAPAN METODE GAP PADA SISTEM PENDUKUNG KEPUTUSAN PENENTUAN BIBIT PADI TERBAIK Ricky Ichsan, Muhammad Adithya; Wulandari, Irma Rofni; Astuti, Yuli; Widayani, Wiwi
Indonesian Journal of Business Intelligence (IJUBI) Vol 5 No 2 (2022): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v5i2.2715

Abstract

Pemilihan bibit padi merupakan langkah awal dari budidaya tanaman padi. Pemilihan bibit perlu diperhatikan untuk mendapatkan hasil panen yang baik. Petani di Desa Soropadan sering mengalami kesulitan dalam menentukan bibit padi yang akan digunakan. Sistem pendukung keputusan dapat menjadi salah satu solusi untuk permasalahan pemilihan bibit padi. Jenis bibit padi dapat dipilih berdasarkan aspek dan kriteria tertentu. Kriteria yang digunakan yaitu tinggi tanaman, kerontokan, harga bibit, umur tanaman, bentuk tanaman, bentuk gabah, kadar amilosa, dan kerebahan. Metode GAP merupakan salah satu metode pengambilan keputusan dengan mencari gap antar kriteria. Tujuan dari penelitian ini yaitu untuk merancang suatu sistem penunjang keputusan dengan menerapkan metode GAP sehingga dapat membantu memberikan rekomendasi bibit padi unggul. Hasil dari penelitian yaitu Metode GAP berhasil diimplementasikan ke dalam bentuk sistem penunjang keputusan berbasis website dan menampilkan perankingan bibit padi serta memberikan rekomendasi bibit padi terbaik. Blackbox testing digunakan untuk menguji sistem dan mendapatkan hasil sistem berjalan sesuai dengan perancangan.
Co-Authors Abbani, Abubakar Yakubu Abdul Charis, Abdul abdulahanaa abdulahanaa, abdulahanaa Agung Dwi Laksono Agus Choirul Arifin Ahmad Rais Ruli Al Arifin, Dedy Hidayatullah Alim W, Abdiel Alita Suroso, Riadinni Alita, Riadinni Andela, Rica Andi Rizkiyah Hasbi Andriyani, Widyastuti Anggraeni, Sefia Dwi Aniek Masrevaniah Anita Ratnasari Rakhmatulloh Anita, Riadinni Annafi, Farrizka Ari Syahidul Shidiq Ari Wibowo Aries K, Bibit Arif Rahman Arifin Budi Purnomo, Arifin Budi Arifin Sahaka, Arifin Arisanti, Atika Zahria Armayanti, Denisa Artini, Dyah Babo, Rosleny Baehaqi Bani Bacan Hacantya Yudanagara Barokah, Liberty Bhisma Murti Bila, Salsa Sabel Blesinki, Monika Bradika Almandin Wisesa BUDI SETIADI DARYONO Churun Ain Claresta1, Aurellia Rahma Dermawan, Dermawan Dewi Anisa Istiqomah Dewi Nasien Dewi Turgarini  DIAN MUHCTAR, ZUHRI ARADIKA Dwiana, Annisa Dyah Artini Eka Setianingsih Elviana, Neneng Emi Sutrisminah Endang Surani, Endang Endang Susilowati Fakhruddin, Rangga Romzi fakhrudi, yoga Fandizal, Muhammad Farizi, Sofia Fatimah, Tsania Alfina Nur Fauzi, Arma Femi Dwi Astuti Fitria Jannatul Laili Fitriyatun Amiyah, Fitriyatun Hakim, Faturrahman Haris A, Vikiyana Hartati, Kiki Hasanu, Fawwaz Hendrawangsah, Tsabita Hengki Hengki Heni Noviarita Hidayati, Rizqi Wahyu Hilman Mulyana, Hilman Ida Lisni Ika Pratingkah Palupi Imran, Mita Pertiwi INDAH PUSPITASARI Irfani, Abdul Mulki Irsan Irsan Is Susiloningtyas Isah Cahyani Ismawan, Imawan Isna Hudaya, Isna Jajang Japar Sodik Januari, Ni Komang Januari Jayanti, Murni Karni, Karni Khanom, Nazmun Nahar Kholis Nur Faizin, Kholis Nur Kukuh Prakoso, Kukuh Kusrini Kusrini Kusumarini, Novikasari Larasaati, Arinta Destri Leny Wulandari, Rr. Catur Leny, Rr Catur LILIS DWI FARIDA Lily Arsanti Lestari Lutfitasari, Winneke Ratih M. Suyanto, M. Ma'rifah, Uli Amri Magdalena, Ainy Malia, Wa Ode Azifa Maria Magdalena Pur Dwiastuti Marlensi, Linda Maulina, Alvira Megawati - meiranny, arum Meizy Heriyanto Melysa, Melysa Muhammad Imadudin Siddiq, Muhammad Imadudin Muliatul Jannah, Muliatul Mulyaningtyas, Fahmida Cahya Mumpuni, Nurpuji Munawar, Wa Ode Suci Nabil, Alifah Nani Yuniar Nisa Rachmah Nur Anganthi Novariani, Novariani Noviana, Dinda Aditya Novita Sani, Dhien Novitasari, Selviyani Nugraha, Dani Fitrianto Nurerwan, Mizani Achmad Nurlaela Sari, Dewi Nursalim Nursalim Nurwijayanti Oktavianto Eko Jati Pahmi, Rizkan Palawi, Ari Patonah, Patonah Piping Asgiani Purbobinuko, Zakharias Kurnia Purnamaningsih, Nur’Aini Rahayu Mekar Bisono, Rahayu Mekar Ramadhan, Ghanim Ratna Dwi Wulandari Ratnasari, Wahyu Ratu Matahari Riani, Nova Ricky Ichsan, Muhammad Adithya Rida Safuan Selian Rize Budi Amalia Rohmah, Nikmatur Rohmawati, Enny Rukmi, Dwi Kartika Sahril, Sultan Samsinar Samsuri Samsuri Sani, Dhien Novita Saputra, Renaldi Sarbi, Sukadji Siti Nurchasanah Siti Zahrah Sri Ngudi Wahyuni, Sri Ngudi SRI RAHAYU Sri Yamtinah Suci Ramadhani, Suci Sudarmin Sudarmin Sugiyono Sugiyono Sujono Riyadi Sukarni Sukarni Sukmawati, Anastasia Suci Sulfasyah Sulfasyah, Sulfasyah Sulistyo Saputro Sumaryadi, Qurrotul Ayuni Rizqiyani Sumbara Sumbara Sumiati, Yati Supardi Supardi Supriati, Amelia Supriyadi Supriyadi Surono Surono Suryadi Suryadi Sutiawati, Dewi Nur Suwanto Marsudi Syah Putri, Jeli Tanzil, Zahra Sa'ada Fatiyyah Tatik Setiarini Taty Sulastry Tengku Hartati Tianme, Zahra Seleisyah Tri Tunggal, Tri Tulus Suryanto Ulhusna, Annisa Utami, Rina Puji Uum Safari Virginia, Eleazar Yeira Wahdatun, Sevi Wahyudi, Fikri Mourly Wibowo, Dwi Widyawati Widyawati Wirawan, Rio Wisanggeni, Bagus Wiwi Widayani, Wiwi Wulandari, Irma Rofni Yudi Mulyana Hidayat yulia lanti retno dewi Yuliana, Putri Yunus Abidin Yustina, Anita Zara, Wa Ode Siti Zisca, Rahma Zolekhah, Dewi