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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Hukum Khaira Ummah JURNAL PROMOSI KESEHATAN INDONESIA Jurnal Ekonomi, Bisnis dan Kewirausahaan (JEBIK) Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Publikasi Pendidikan Jurnal Nalar Pendidikan Jurnal Ilmu keperawatan Jurnal Manajemen Bisnis IQTISHODUNA Journal of Education and Learning (EduLearn) KOMUNITAS: INTERNATIONAL JOURNAL OF INDONESIAN SOCIETY AND CULTURE PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Pendidikan Fisika Jurnal Ilmiah Mahasiswa FEB OPSI Prosiding KPSDA JPGSDI JBTI : Jurnal Bisnis : Teori dan Implementasi JIMKesmas (Jurnal Ilmiah Mahasiswa Kesehatan Masyarakat) Journal of Management and Business Review Jurnal Ilmu Pangan dan Hasil Pertanian Eduarts: Journal of Arts Education Jurnal Teknologi Mineral dan Batubara Universa Medicina Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Teknologi Pendidikan Madrasah JURNAL SINEKTIK Pendas : Jurnah Ilmiah Pendidikan Dasar Eduscience : Jurnal Ilmu Pendidikan Jurnal Epidemiologi Kesehatan Komunitas Jurnal Meta-Yuridis Cakrawala Dini : Jurnal Pendidikan Anak Usia Dini Jurnal Cendekia : Jurnal Pendidikan Matematika Jurnal Basicedu International Journal of Community Service Learning Aulad : Journal on Early Childhood Manuju : Malahayati Nursing Journal MAJAMATH: Jurnal Matematika dan Pendidikan Matematika EDUKATIF : JURNAL ILMU PENDIDIKAN GERVASI: Jurnal Pengabdian kepada Masyarakat Unnes Journal of Mathematics Education Research Jurnal Ilmu Manajemen BALANCE: Economic, Business, Management and Accounting Journal Specta Journal of Technology Jurnal Kesehatan Budi Luhur: Jurnal Ilmu-Ilmu Kesehatan Masyarakat, Keperawatan, dan Kebidanan INTEGRITAS : Jurnal Pengabdian Piwulang : Jurnal Pendidikan Bahasa Jawa Jurnal Ilmiah Manajemen Kesatuan IJIIS: International Journal of Informatics and Information Systems PROGRES PENDIDIKAN Computer Science and Information Technologies JOURNAL OF RESEARCH IN PUBLIC HEALTH SCIENCES Thufuli: Jurnal Ilmiah Pendidikan Islam Anak Usia Dini Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) MURHUM : JURNAL PENDIDIKAN ANAK USIA DINI ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Journal of Applied Data Sciences Current Research on Biosciences and Biotechnology Inteligensi : Jurnal Ilmu Pendidikan Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran International Journal of Business, Economics, and Social Development Renjana Pendidikan Dasar International Journal of Economics, Management, Business, and Social Science Prima Abdika: Jurnal Pengabdian Masyarakat Journal of Metallurgical Engineering and Processing Technology Panrannuangku Jurnal Pengabdian Masyarakat International Journal for Applied Information Management Jurnal Pijar MIPA Jurnal Akuntansi, Manajemen dan Bisnis Digital Journal Of Human And Education (JAHE) Filantropi: Jurnal Manajemen Zakat dan Wakaf Jurnal Teknologi Lingkungan Lahan Basah ASEAN Marketing Journal Journal of International Conference Proceedings Jurnal Basicedu Prosiding University Research Colloquium Jurnal Manajemen JS (Jurnal Sekolah) Bangun Desa : Jurnal Pengabdian Masyarakat Jurnal Osadhawedyah bidang Medis dan Kesehatan JAMAS: Jurnal Abdi Masyarakat Indonesian Journal of Religious Indonesian Journal of Early Childhood Educational Research Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka Strata Business Review Journal of Innovative and Creativity Jurnal Teknologi Mineral dan Batubara Mabha Jurnal Jurnal Peweka Tadulako Pratama Widya: Jurnal Pendidikan Anak Usia Dini Jurnal Agribisnis Wijaya Putra Surabaya AGRIWITAS KAMBOTI : Jurnal Sosial dan Humaniora JURNAL INSAN CENDEKIA Journal of Current Research in Blockchain International Journal Research on Metaverse
Tri Wahyuningsih
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Analyzing Sentiment Trends and Patterns in Bitcoin-Related Tweets Using TF-IDF Vectorization and K-Means Clustering Wahyuningsih, Tri; Chen, Shih Chih
Journal of Current Research in Blockchain Vol. 1 No. 1 (2024): Regular Issue June
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jcrb.v1i1.11

Abstract

This study conducts a comprehensive analysis of Bitcoin-related tweets to understand sentiment trends and patterns using TF-IDF vectorization and K-means clustering. The dataset, comprising 1,544 unique tweets, was collected via the Twitter API and preprocessed to remove duplicates and clean the text. Sentiment analysis revealed a distribution of 53.7% neutral, 29.7% positive, and 16.6% negative tweets, indicating a predominant neutral sentiment in the discourse. Keyword analysis identified frequent terms such as 'bitcoin' (479 occurrences), 'new' (46), 'good' (43), 'crypto' (39), and 'trade' (39). Visualizations through word clouds highlighted the specific language associated with each sentiment category, with positive tweets focusing on opportunities and innovation, while negative tweets emphasized risks and scams. Cluster analysis using K-means, with the optimal number of clusters determined by the elbow method, resulted in three distinct clusters. Cluster 0, comprising 1,346 tweets, was characterized by neutral and informative content, focusing on market updates and trading strategies. Cluster 1, with 163 tweets, contained a higher concentration of positive sentiment, highlighting positive developments and investment opportunities. Cluster 2, the smallest with 35 tweets, focused on negative sentiment, reflecting concerns about market volatility and fraudulent activities. These clusters provided a nuanced understanding of the thematic composition of Bitcoin-related tweets. The study's findings have practical implications for investors, traders, and market analysts by providing insights into market mood and sentiment trends. The integration of these findings into predictive models can enhance market prediction accuracy and develop more effective trading strategies. Despite the study's contributions, limitations such as the dataset's language and scope suggest areas for future research, including real-time sentiment analysis and the incorporation of multimodal data sources. This research advances the field of sentiment analysis in financial markets, particularly within the context of cryptocurrencies, by offering a detailed and longitudinal examination of social media sentiment.
Navigating Financial Transactions in the Metaverse: Risk Analysis, Anomaly Detection, and Regulatory Implications Srinivasan, Bhavana; Wahyuningsih, Tri
International Journal Research on Metaverse Vol. 1 No. 1 (2024): Regular Issue June
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijrm.v1i1.5

Abstract

Blockchain technology has emerged as a disruptive force in the realm of finance, offering decentralized and transparent mechanisms for conducting financial transactions. This paper explores the landscape of blockchain-based financial transactions, focusing on risk analysis, anomaly detection, regulatory frameworks, and ethical considerations. Drawing on interdisciplinary insights from finance, computer science, economics, law, and ethics, the study investigates the opportunities and challenges presented by blockchain finance. Leveraging quantitative analysis, machine learning algorithms, case studies, and regulatory reviews, the research sheds light on the complexities of blockchain ecosystems. Key findings include the importance of robust risk management strategies, the role of anomaly detection in safeguarding financial integrity, and the evolving regulatory landscape surrounding blockchain transactions. The study identifies gaps in current research and proposes avenues for future investigation, emphasizing the need for interdisciplinary approaches to address the multifaceted challenges of blockchain-based finance. Ultimately, this research aims to inform stakeholders about the implications of blockchain technology in financial transactions and foster responsible innovation and sustainable development in digital finance ecosystems.
Determinants of Virtual Property Prices in Decentraland an Empirical Analysis of Market Dynamics and Cryptocurrency Influence Wahyuningsih, Tri; Chen, Shih Chih
International Journal Research on Metaverse Vol. 1 No. 2 (2024): Regular Issue September
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijrm.v1i2.12

Abstract

This study explores the emerging virtual property market within the digital world, with a focus on identifying the key factors influencing property prices, market activity, and sales volume. Using a dataset of 2,000 virtual property transactions, the research provides a comprehensive analysis of market dynamics in this new frontier of digital real estate. The findings reveal significant volatility in transaction activity, with a peak of 1,222 transactions in January 2022 followed by a sharp decline to 539 in February 2022 and just 24 in March 2022, indicative of a nascent and speculative market. The analysis identifies land price as the most significant determinant of virtual property values, showing a near-perfect correlation of 0.992 with sales prices. This highlights the critical role of location and land value, similar to traditional real estate markets. Additionally, the study finds that properties attracting more bids tend to sell at higher prices, with a moderate correlation of 0.380 between bids count and sales price, reflecting the impact of competitive bidding in driving up values. However, the market is relatively illiquid, with a mean sales count of just 1.79, indicating that most properties are held as long-term investments rather than frequently traded assets. Interestingly, the research also uncovers a weak negative correlation of -0.051 between sales price and the underlying cryptocurrency, MANA, suggesting that the value of virtual properties may be increasingly decoupled from cryptocurrency volatility as the market matures. These insights provide valuable guidance for investors, developers, and policymakers navigating the evolving landscape of virtual real estate. The study concludes with a discussion of the implications for future market stability and potential areas for further research.
Implementing the Pancasila Student Profile to Develop Early Childhood Social Skills Algazira, Gisela Silvaina; Rozie, Fachrul; Palenewen, Evie; Wahyuningsih, Tri
Indonesian Journal of Early Childhood Educational Research (IJECER) Vol. 4 No. 1 (2025)
Publisher : Universitas Islam negeri Mahmud Yunus Batusangkar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31958/ijecer.v4i1.14987

Abstract

Prolonged exposure to smartphones has caused many children to become dependent on digital devices as a primary source of entertainment. This condition has been linked to a decline in children's social sensitivity and interaction skills. This study aims to analyze the implementation of the Pancasila Student Profile Strengthening Project (P5) in enhancing social skills among early childhood learners. A descriptive qualitative method was employed, with data collected through interviews, observations, and documentation. The data were analyzed using a thematic approach, and the validity of findings was ensured through data triangulation. The results indicate that the integration of the Pancasila Student Profile in classroom activities has positively influenced the development of children's social skills, particularly in peer interactions. These findings suggest that the P5 initiative can serve as a valuable foundation not only for fostering social skills but also for supporting broader aspects of early childhood development. 
Small and Medium Enterprises (SMEs) with SWOT Analysis Method Rakhmansyah, Mohamad; Wahyuningsih, Tri; Srenggini, Abdullah Dwi; Gunawan, I Ketut
International Journal for Applied Information Management Vol. 2 No. 3 (2022): Regular Issue: September 2022
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v2i3.37

Abstract

This study aims to determine the strengths, weaknesses, opportunities and threats to SMEs in utilizing social media as a marketing tool and to find out the most effective marketing strategies to run in order to increase sales. The method used is SWOT analysis, and in data processing using excel. In collecting data using a questionnaire method distributed in the January 2021 period with a total of 226 respondents. The results obtained by SMEs in utilizing social media as marketing are in quadrant I, which means that the strategy used is a growth strategy, namely the SO strategy which is a strategy that uses strengths to take advantage of opportunities that exist in SMEs. Its implementation is to increase the intensity of promotions, maintain product and service quality, maintain and increase customer trust, be communicative to customers.
Classifying Vehicle Categories Based on Technical Specifications Using Random Forest and SMOTE for Data Augmentation Sugianto, Dwi; Wahyuningsih, Tri
International Journal for Applied Information Management Vol. 5 No. 4 (2025): Regular Issue: December 2025
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v5i4.113

Abstract

This study investigates the application of machine learning for classifying vehicles based on their technical specifications using the Random Forest algorithm. The objective was to create a robust classification model capable of categorizing vehicles into six distinct classes: Hybrid, SUV, Sedan, Sports, Truck, and Wagon. The analysis was conducted using a comprehensive dataset that included features such as engine size, horsepower, weight, and fuel efficiency, along with the target variable, vehicle class. To address the issue of class imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied to balance the training data. The results showed that the model performed particularly well in classifying Sedans, achieving a perfect recall and high F1-score, while struggling with underrepresented classes like Hybrid and Wagon. Despite applying SMOTE, the model’s performance for minority classes remained suboptimal, highlighting the challenges associated with highly imbalanced datasets. The study contributes to the field of vehicle classification by demonstrating the use of Random Forest for such tasks and providing insights into the challenges posed by imbalanced class distributions. The findings underscore the importance of feature selection, especially regarding numerical attributes such as horsepower and engine size, in improving classification accuracy. However, the study also identified limitations, including potential biases in the dataset and the difficulty in improving performance for minority vehicle classes. Future research should explore alternative algorithms like XGBoost or deep learning models, and consider expanding the dataset to include more diverse vehicle types. The practical implications of this work are significant for vehicle market segmentation, offering valuable insights for manufacturers, dealerships, and analysts seeking to optimize vehicle classification and improve market targeting strategies.
The Effect of Service Quality and Perceived Value on Customer Satisfaction Mediated by Trust Mathesa, Justin Ricky; Liestyana, Yuli; Utami, Yekti; Wahyuningsih, Tri; Oetomo, Hadi; Tugiyo, Tugiyo
Strata Business Review Vol. 3 No. 2 (2025): November
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/sbr.v3i2.439

Abstract

This study investigates the influence of service quality and perceived value on customer satisfaction, with trust functioning as a mediating variable. The research was conducted among PBPU/Mandiri BPJS Health Insurance participants registered at the Yogyakarta JKN BPJS Health Branch. Using a quantitative approach, data were collected through purposive sampling, resulting in 110 respondents who completed a structured questionnaire. Measurements were based on a Likert scale, and data were analyzed using Structural Equation Modeling (SEM) with Partial Least Squares (SmartPLS 3.0). The results indicate that all indicators used in the study demonstrate strong loading factor values, confirming their reliability as research instruments. The R-Square value shows that service quality, perceived value, and trust collectively explain 85.9% of the variance in customer satisfaction, while the remaining 14.1% is influenced by other unexamined factors. Findings further reveal that both service quality and perceived value significantly and positively affect trust and customer satisfaction. Moreover, trust is found to effectively mediate the relationship between service quality and perceived value on customer satisfaction. These results highlight the crucial role of trust in enhancing customer satisfaction within the BPJS Health Insurance service context.
Beneficiation of Tailings from Primary Tin Processing from Iron Ore Mines at PT Timah Tbk in PPBT Tanjung Ular Setiawan, Agris; Manalu, Naomi B; Setyani , Atik; Wahyuningsih, Tri; Putri, Adinda; Andreana, Mellyna
Journal of Metallurgical Engineering and Processing Technology Vol 6 No 1 (2025): (August 2025)
Publisher : Universitas Pembangunan Nasional "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The tailings produced from the previous processing are known to still contain valuable minerals such as cassiterite (SnO2), as well as associated minerals such as Fe, ilmenite, and zircon. Therefore, a beneficiation process is needed to optimize tin recovery and minimize the loss of valuable minerals. The beneficiation process includes sampling, sample reduction, grinding using a rod mill, and separation of valuable minerals using a shaking table and wet magnetic separator, as well as X-ray fluorescence (XRF) analysis. The XRF results of primary tin concentrate beneficiation using a shaking table increased the Sn content from 0.736-1.259% to 20-18.99% with a recovery of 1.779-7.456%. Magnetic separation of 40 kg of feed produced magnetic fractions of 5.7 kg and 18 kg, with Fe grades of 8.96–8.99% and Sn up to 4.90%. The grade increase was achieved, but Fe separation was still not optimal because some magnetic minerals were carried over to the non-magnetic fraction.
The Relationship Between Quality of Life and Successful Aging Astuti, Reini; Wahyuningsih, Tri; Noviani, Ratna Wulan Hadian
Jurnal Kesehatan Budi Luhur: Jurnal Ilmu-Ilmu Kesehatan Masyarakat, Keperawatan, dan Kebidanan Vol. 18 No. 2 (2025): July 2025
Publisher : STIKes Budi Luhur Cimahi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62817/jkbl.v18i2.419

Abstract

The elderly population is increasing rapidly worldwide, including in Indonesia, leading to significant health, social, and economic implications. The aging process often leads to physical, psychological, and social changes that can negatively affect quality of life.Thus, ensuring a high quality of life is crucial for achieving successful aging. This study aimed to analyze the relationship between the quality of life and successful aging among elderly individuals in Cimahi City. A cross-sectional study was conducted with 128 elderly participants, selected proportionally WHOQOL-BREF and SAS should be briefly explained with full names in parentheses when first mentioned for clarity to readers unfamiliar with them. Was used to assess quality of life, while the Successful Aging Scale (SAS) was employed to evaluate successful aging. Bivariate analysis was performed using the Chi-square test at a significance level of p<0.05. A significant relationship was found between successful aging and the physical (p=0.003), psychological (p=0.000), and environmental (p=0.002) domains of quality of life. However, no significant association was observed in the social domain (p=0.114). The results suggest that physical health, psychological well-being, and environmental support are key factors contributing to successful aging. Social relationships, though important, did not show a statistically significant impact in this study. Health interventions and policies aimed at promoting successful aging should prioritize improving the quality of life for the elderly, particularly by enhancing physical and mental health and ensuring a supportive and secure living environment.
Optimizing Health Educated Family to Reduce Hypertension and Integrated Diabetes Mellitus in Bligo Rasyidah, Hanna; Purnomo, Halim; Amieni, Nada Nadiva Aisy; Ufaira, Naura; Ramadhan, Naufal Raihan; Nisa, Lia Fakila; Nisa, Zalfaa Hanifatun; Salam, Amri Adi Nur; Narpati, Dipo Andang; Anindhita, Dyah Raras; Al-Ghazali, Ersan; Qosthori, Hiban; Hani’ah, Marsya Nadiyyatul; Mahfudz, Muhammad Imam; Agwa, Mullah Muhammad; Nurfiana, Nurfiana; Afaki, Sajida Fihrisa; Riyani, Sri; Wahyuningsih, Tri
Bangun Desa: Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (2024)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/jbd.2024.3(2).107-113

Abstract

The Community Service Program (KKN) conducted in Bligo Village, Buaran District, Pekalongan Regency, aimed to optimize the Family Guidance program in reducing hypertension and diabetes mellitus rates. The program included various activities such as health education, screening, and family guidance for high-risk individuals. The results showed a decrease in blood pressure and blood sugar levels among participants, accompanied by lifestyle changes towards healthier habits. The success of this program highlights the importance of active community participation and support from various stakeholders in addressing non-communicable health issues within the community
Co-Authors - Nurfiana AA Sudharmawan, AA Ade Iriani Adella, Nabila Prisma Adisty, Deshiva Idfi Aji administrator, administrator Ady Setiawan Afaki, Sajida Fihrisa Afifah, Dhita Agung Satmoko Agus Ristono Agus Sukarno Agwa, Mullah Muhammad Al-Ghazali, Ersan Alfi Noviyana, Alfi Algazira, Gisela Silvaina Alhadi, Rahmad Hidayat Alifa, Nadia Putri Amanda, Desi Amelia, Rike Amieni, Nada Nadiva Aisy Andi Harmoko Arifin Andini, Davi Ayu Andreana, Mellyna Anggoro, Rizky Tri Anggraeni, Yulia Anindhita, Dyah Raras Anisa, Umi Aulia Anita Swantari, Anita Anna Ratnaningsih, Anna apri dwi anggo Aprilia Pangestu Putri, Ayu Aprilia, Nadia Azizah Aprilia, Putri Dewi Aprillia Pangestu Putri, Ayu Arafah, Andi Asrafiani Arief, Arief Rakhman Hakim Arif, Nina Fapari Arifin Arifin Arifin, Zaynal Aris Susetyo Ariyanti, Wulan Aru, heti Ashlihah, Ashlihah Asna, Aufa Assahidah, Syifa Nur Azizah Asteriani, Devi Astuti, Reini Asworo, Monika Az-zahra, Aulia Azainil Azainil Azizah Putri Abdi Azmi, Zul Azzahra, Ime Nur Bachri, Bachtiar Sjaiful Badrianto, Achmad Biyanto, Annisa Brilian, Oktavio Yorris Budiyono Budiyono Buhari, Muh. Ramli Buhari, Ramli Chandra Fauzi Chen, Shih Chih CINDY CINDY Crestien, Ariska Piktoria Danang Budi Setyawan Danny Manongga Dara, Amanda Citra Deasy, Afrieany Desmita, Helma Dewi, Alivia Zahra Kirana Dewi, Lenny Fitriana Dewi, Sawitri Dini Wulandari Dola Suciana Dwiyono, Yudo Dyah Fitriana Masithoh Dyah Probowati, Dyah EDY SANWANI Eko Sediyono Erawati, Septia Sesia Ernowo, Atha Fadhil Esti Sudi Utami Evi Vilianti Evie Palenewen Fadhillah, Nur Afifah Fara Virgianita Pangadongan Fatmawati, Ayu Widya Faturahman, Aliq Febry Maghfirah Fifi Swandari Fitriani, Dayang Astri Fujianti, Ishe Fujianti, Ishe Genggang, Tiara Petri Cicilia Gunawan Madyono Putro, Gunawan Madyono Gusti Nurdin Hadi Oetomo Hadifad, Iqbal Halida Halida Hambali, Ahmad Imam Handayani, Merlin Hani’ah, Marsya Nadiyyatul Harmadi, Sonny Harry B Hayati Hehamahua Henderi . Heny Djoehaeni Heny Suseani Pangastuti Herdiyani, Puspitasari Herdiyani, Puspitasari Herlin, Herlin Herman, Sitti Rabiatul Wahdaniyah Hermanto, Olivia Silvi Heru Subekti Hidayah, Annisa Mustikhatul Hidayah, Nenden Restu Hindriyanto Dwi Purnomo Humaidi, Faisol Humaidi Hutasoit, Leonard Raden I Ketut Gunawan Ikhsan, Syahwanul Iksam, Iksam Indriana, Putri Irliany, Heny Irwan Sembiring Isna Kartika, Wilda Isnania, Nur Isnawati Isnawati Ivaniarahma, Ivaniarahma Jafar, Farny Sutriany Jati, Dian Rahayu Jayadi, Lionarto Erson Johari, Dewi Talia Johari, Dewi Talia Kartika, Wilda Isna Khoirotunnisa, Kharir Khurrohmah, Mifta khusnul khotimah Kismiati, Dyah Aniza Krisna Iryani, Krisna Kristoko Dwi Hartomo Kumalasari, Diyanah Kumalasari, Diyanah Kurniawan, Dydik Kusumaningrum, Anisa Putri Laksono Trisnantoro Leonard R. Hutasoit Liswani, Edy Lola, Irda M.Pd S.T. S.Pd. I Gde Wawan Sudatha . Magfirah, Febry Mahfudz, Muhammad Imam Makmun Makmun Makmun Malpaleni Satriana MALPALENI SATRIANA, MALPALENI Maman Rumanta Manalu, Naomi B Mantika, Sabrina Mathesa, Justin Ricky Melani, Linda Melani, Linda Mening, Seviana Andriani Mestika Sekarwinahyu Muhlis Muhlis Mustamiroh Mustamiroh, Mustamiroh Muthoifin Nabilah, Rizka Nafisa, Unesya Lu’luatu Nafisa, Unesya Lu’luatu Nahdi, Sabrina Almasari Narpati, Dipo Andang Nisa, Lia Fakila Nisa, Zalfaa Hanifatun Ni’mati Rahmatika, Arivatu Nofita Normala Sari, Desi Novanty, Tety Noviani, Ratna Wulan Hadian Nugrah Aurigha, Evan Nuha, Nuha Nurdin Nurdin Nurhalisa, Suci Nurhaliza, Tiara Nurhasanah Nurhasanah Nurhasanah, Viana Nurkaromah Dwidayati, Nurkaromah Pangestu, Dedi Parijo . Pertiwi, Adharina Dian Pratiwi, Krisnandini Wahyu Prayogi, Dika Setya Prijoto Prillasasti, Farra Diva Purnomo, Halim Purwanto, Didiek Purwati Purwati Putri, Adinda Putri, Ayu Aprilia Pangestu Putri, Indah Lestari Putri, Liany Qosthori, Hiban Rahmi, Rosita Putri Rahwanto, Efana Rakatta Banurea, Andromeda Sanjesti Rakhmansyah, Mohamad Ramadhan, Naufal Raihan Rani, Nazatul Shima binti Abdul Rasdiana Rasdiana Rasyidah, Hanna Ratna Dwi Wulandari Ratna Wahyu Pusari . . Ravi'i Rickiadi, M. Fajar Rilla Safitri, Nur Ristasa A., Rusna Riyana Riyana, Riyana Riyandi, Henry Rozie, Fachrul RR. Ella Evrita Hestiandari Rum Rosyid Salam, Amri Adi Nur Salsabila, Amalia Sangadji, Mohammad Faisal Sarlina Sarlina, Sarlina Sastriana, Malpaleni Sawiji, S Selviana, Ressa Sentosa, Ilham SEPTI WULANDARI Setiadi, M Ilham Bintang Setiawan, Agris Seto, Samudro Setyani , Atik Setyawan, Meindra Singgih Adhi Prasetyo, Singgih SITI KHODIJAH CHAERUN Siti Masitoh Sjamsir, Hasbi Songli, Azalia Srenggini, Abdullah Dwi Sri Riyani Srinivasan, Bhavana Steven Phang Sucianny, Wulan Ayu Sucianny, Wulan Ayu Sudaryatie, Sudaryatie Sudikno Sudikno Sugeng Santoso Sugianto, Dwi Sugiyono Sugiyono Sukriadi sukriadi sukriadi Sulistiawati, Siti Sulistyowati Tuminah Darjoko, Sulistyowati Tuminah Supriadi Takwim Syambasril, Syambasril Syaputri, Nadhiratul Taqwa Hariguna Tasrim, Tasrim Taufik Hidayat Titik Kusmantini Tri Sumarsih Tri Yunis Miko Wahyono Triwahyuningsih, Ria Yulianti Triwahyuningsih, Ria Yulianti Trustho Raharjo Tugiyo, Tugiyo Ucu Rahayu Ufaira, Naura Umar, Huzaifah Usman, Fahrul Rozzi Wakano, Nabila Wardono Wardono Widayanti , Nurul Winanti, Suci Winarko, Ronny Winarno Winarno Winjaya Laksana, Andri Wulandari, Fauziyah Yahya Pratiwi, Tety Yanas, Yogi Gautama Yekti Utami Yohana, Maryetha Yova Yosi Gumala Yudhomenggolo Sastro Darmanto Yuli Liestyana Yulsi, Yulsi Zahra, Diya Fatihah Zain, Syarifah Zafira