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All Journal Jurnal Keperawatan Jurnal Keperawatan Indonesia Jurnal Kedokteran Brawijaya JURNAL ILMIAH KESEHATAN KEPERAWATAN Jurnal Keperawatan Jiwa (JKJ): Persatuan Perawat Nasional Indonesia Jurnal NERS Jurnal Ilmu Keperawatan dan Kebidanan IJNP (Indonesian Journal of Nursing Practices) JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Kesehatan Holistic Media Keperawatan Indonesia Care : Jurnal Ilmiah Ilmu Kesehatan JPP Jurnal Kesehatan Poltekkes Palembang Health Information : Jurnal Penelitian Dinasti International Journal of Management Science JURNAL ILMIAH OBSGIN : Jurnal Ilmiah Ilmu Kebidanan & Kandungan Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Jurnal Ners Jurnal Persatuan Perawat Nasional Indonesia (JPPNI) Jurnal Komunitas: Jurnal Pengabidian Kepada Masyarakat Journal of Telenursing (JOTING) Jurnal Aisyah : Jurnal Ilmu Kesehatan Jurnal Ners Widya Husada Indonesian Journal of Global Health research TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Ilmu Keperawatan dan Kebidanan JURNAL KESEHATAN SAMODRA ILMU Jurnal Impresi Indonesia Jurnal Ilmiah Ners Indonesia Hulondalo Jurnal Ilmu Pemerintahan dan Ilmu komunikasi (JIPIK) Jurnal Salingka Abdimas Ranah Research : Journal of Multidisciplinary Research and Development Agents: Journal of Artificial Intelligence and Data Science Physical Therapy Journal of Indonesia

Mustikasari Mustikasari

Fakultas Ilmu Keperawatan, Universitas Indonesia, Depok Kampus UI Depok, Jawa Barat

Author-ID : 326487

Religion Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy 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 Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 61 Documents Claim Missing Document

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CONCEPT ANALYSIS OF RESILIENCE UNIVERSITY STUDENT soeli, yuniar mansye; Daulima, Novy Helena Catharina; Mustikasari, Mustikasari; Martha, Evi
Jurnal Aisyah : Jurnal Ilmu Kesehatan Vol 10, No 1 (2025): March
Publisher : Universitas Aisyah Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30604/jika.v10i1.3083

ABSTRACTUniversity student resilience is a crucial factor in academic success and psychological well-being. This study aims to explicate the concept of developing resilience among university students. Walker and Avant's concept analysis approach will be employed to analyze and clarify the understanding of resilience development. This concept analysis will help identify key attributes that support resilience development, such as coping skills, social support, optimism, and self-belief. The Walker and Avant framework will be used to construct a comprehensive framework for developing student resilience, encompassing intervention programs, assessment, and evaluation. The results of this concept analysis are expected to contribute to the development of effective programs to enhance student resilience, enabling them to better cope with academic and non-academic challenges

Social Support with Post-Traumatic Growth among Trauma Survivors: A Systematic Review Aditya, Muhammad Ferly; Mustikasari, Mustikasari; Chandra, Yudi Ariesta; Puteri, Yossie Susanti Eka
Indonesian Journal of Global Health Research Vol 7 No 4 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i4.6319

Natural and non-natural disasters can cause long-term psychological impacts on affected individuals, including the emergence of post-traumatic stress disorder. However, some victims actually experience positive changes known as post-traumatic growth (PTG), which is psychological growth that occurs after facing a traumatic event. PTG does not form automatically, but is influenced by various factors, one of which is social support. Effective social support can strengthen resilience, provide a sense of security, and facilitate the reinterpretation of the trauma experienced. Objective to identify and synthesize scientific evidence regarding the relationship between social support and PTG in disaster victims.Method: This study used a systematic review design, with article searches conducted through three main databases: PubMed, CINAHL, and Scopus. The keywords used were: “post-traumatic growth” OR “PTG” AND “social support” AND “disaster” OR “natural disaster” OR “earthquake” OR “flood” OR “tsunami”. Inclusion criteria included original research articles published in English between 2015–2025 and explicitly discussing the relationship between social support and PTG in disaster victim populations. Data were extracted manually using a table that included the author, purpose, design, sample, location, instrument, and results of the study. Data analysis was conducted descriptively qualitatively with a thematic analysis approach. A total of 10 articles that met the inclusion criteria were successfully identified and analyzed. The results of the study showed that social support consistently plays a role in encouraging the occurrence of PTG through various mechanisms: as a direct predictor, a mediator between psychological factors (such as resilience and survivor guilt), and as a moderator of the relationship between psychopathological symptoms and PTG. Six main themes were found in the thematic analysis: the direct role of social support, psychological mediation, moderating function on depression and anxiety, strengthening resilience, diversity of support sources, and vicarious PTG experiences. PTG does not solely depend on individual characteristics, but is also influenced by the extent to which they are connected to a supportive social environment. Therefore, nursing practice needs to integrate aspects of social support in disaster victim care, either through family, community, or professional service approaches.

Pengaruh Cognitive Behaviour Therapy (CBT) terhadap Pasien Gagal Ginjal Kronik di Unit Hemodialisa Rumah Sakit Husada Jakarta Setyaningsih, Tri; Mustikasari, Mustikasari; Nuraini, Tuti
Jurnal Kesehatan Holistic Vol. 2 No. 1 (2018): Jurnal Kesehatan Holistic Volume 2/Nomor 1/Januari 2018
Publisher : Sekolah Tinggi Ilmu Kesehatan RS Husada

Chronic renal failure (GGK) or end-stage renal disease (PGTA), is one of the major diseases in the world. In addition to difficult to cure because it is irreversible can also cause psychososil disorders. This research was conducted on 27 respondents, using quasi experimental design pre-post test without control group. The results showed that there was a significant effect of CBT therapy on self-esteem level both cognitive and behavioral in patients with CRF (p value <0,000) and the opportunity to increase self-esteem in terms of behavior with CBT therapy was 43,9%. The conclusion of this study is that CBT therapy can improve the self-esteem of GGK patients undergoing hemodialysis therapy in he Husbandry Hemodialysis unit Jakarta.

Terapi Kelompok Terapeutik dan Terapi Kognitif Perilaku Efektif Menurunkan Prodroma Remaja dengan Orang Tua Bercerai Silalahi, Malianti; Daulima, Novy H. C.; Mustikasari, Mustikasari
Jurnal Kesehatan Holistic Vol. 5 No. 2 (2021): Jurnal Kesehatan Holistic Volume 5/Nomor 2/Juli 2021
Publisher : Sekolah Tinggi Ilmu Kesehatan RS Husada

Adolescent is a growth phase that is quite vulnerable because it is a phase of searching for self-identity. At the stage of adolescent development, the role of parents is needed because it is a place for teens to ask in the process of finding their true identity. Some studies show that parental divorce primarily has a negative impact on adolescent psychology. Adolescent mental health due to divorce parents need to get treatment by knowing the initial signs and symptoms of early psychosis and providing nurses nurses' actions and specialist actions. The writing of this scientific paper explains the results of therapeutic measures of nurses, therapeutic group therapy and cognitive behavioral therapy in reducing the rate of prodroma in adolescents with divorced parents. The method used is case series. Analysis was carried out on 6 teenagers, ages 13-16 years and had divorced parents. Results: Adolescents with divorced parents had increased prodroma rates after receiving therapeutic group therapy, but there was an increase in the achievement of developmental tasks and an increase in cognitive, emotional and psychosocial developmental abilities that were the basis for reducing prodroma. Cognitive behavioral therapy reduces the rate of prodroma in adolescents with divorced parents. The need for further research related to the effectiveness of therapy with more samples.

Penurunan Postpartum Blues Dan Ansietas Melalui Terapi Thought Stopping dan Terapi Suportif Pada Ibu Post Partum Dengan Bayi Prematur Laela, Sri; Keliat, Budi Anna; Mustikasari, Mustikasari
Care : Jurnal Ilmiah Ilmu Kesehatan Vol 6, No 1 (2018): EDITION MARCH 2018
Publisher : Universitas Tribhuwana Tunggadewi

Ibu postpartum dengan bayi prematur berisiko mengalami postpartum blues dan ansietas, hal ini disebabkan karena banyaknya permasalahan yang dihadapi oleh ibu postpartum dengan bayi prematur. Tujuan penelitian ini mengidentifikasi pengaruh terapi thought stopping dan terapi suportif terhadap postpartum blues dan ansietas ibu postpartum dengan bayi prematur. Metode penelitian yang digunakan quasi-experiment with control group pretest-posttest design dengan metode consecutive sampling. Sampel dalam penelitian ini adalah ibu postpartum dengan bayi prematur yang dirawat diruang Perina – Nicu sebanyak 62 responden. Hasil penelitian menunjukkan ada penurunan postpartum blues dan ansietas secara bermakna (p-value= 0,000) pada kelompok yang mendapat tindakan keperawatan Ners, terapi thought stopping dan terapi suportif, dan lebih besar penurunan secara bermakna dibandingkan dengan kelompok yang hanya mendapat tindakan keperawatan Ners. Terapi thought stopping dan terapi suportif mampu menurunkan postpartum blues dan ansietas ibu postpartum dengan bayi prematur dua kali lebih besar dibanding pemberian tindakan keperawatan Ners.

The Influence of Product Price and Quality on Customer Repurchase Intentions Through Customer Satisfaction Mediation Zimbalis, Aprillia; Nofrisel, Nofrisel; Mustikasari, Mustikasari
Jurnal Impresi Indonesia Vol. 3 No. 6 (2024)
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v3i6.4961

This research was conducted with the aim of knowing the influence of prices and products on PT. XYZ Forwarding Indonesia on Repurchase Intention with customer satisfaction as an intervening variable. This affects business competition conditions in the Freight Forwarding industry. Currently, many Freight Forwarding companies have just been established and dare to provide the best offers to attract their customers. The type of research used is quantitative research using a questionnaire as a data collection instrument. The population in this study was PT service users. XYZ Forwarding Indonesia, the sample used was 154 people who had used the service at least twice. The sampling technique used is Probability Sampling. Data analysis technique through SEM-PLS measurements with the help of Smart PLS 4.0.5.9. Software. Based on the results of SEM analysis, the results show that price has a positive effect on customer satisfaction. On the other hand, price has a negative effect on repurchase intention. Then the product is stated to have a positive effect on customer satisfaction and the product also has a positive effect on repurchase interest. Customer satisfaction has a positive effect on repurchase interest. Furthermore, products do not have a direct influence on repurchase interest but are mediated through customer satisfaction. Price also does not have a direct influence on repurchase interest and is mediated through customer satisfaction. So from a Freight Forwarding perspective, companies must pay attention to price in each sale to be able to fulfill customers' desires and make repeat purchases.

Public Sentiment Analysis Towards the Implementation of 2024 Election Preparations Using the Maximum Entropy Method Indra Ismawan, Indra Ismawan; Mustikasari, Mustikasari; Saputra, Wahyuddin
AGENTS: Journal of Artificial Intelligence and Data Science Vol 4 No 1 (2024): Vol 4 No 1 (2024): September - Februari
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jagti.v4i1.75

The General Election Commission (KPU) and the Election Supervisory Agency (Bawaslu) are tasked with coordinating and overseeing elections throughout the territory of Indonesia. Nevertheless, elections are not without various disputes, including violations of ethical codes and administrative issues. General elections are an important way for the public to exercise their political participation rights. In the era of information technology, the public is increasingly active in expressing their opinions and sentiments through social media such as Twitter. Utilizing data from social media, the maximum entropy method is employed to classify opinions found in tweets based on entropy values. This research also aims to measure the accuracy level of the maximum entropy method in sentiment classification. From the results of this study, using approximately 1,400 data, an accuracy rate of 87.08% was obtained, which is quite good and highly feasible for further development to achieve better results

OPTIMALISASI PREDIKSI KELULUSAN MAHASISWA TEPAT WAKTU MENGGUNAKAN BINNING DAN SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE (SMOTE) Rahman, Faidhul; Mustikasari, Mustikasari
AGENTS: Journal of Artificial Intelligence and Data Science Vol 4 No 1 (2024): Vol 4 No 1 (2024): September - Februari
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jagti.v4i1.77

On-time student graduation is a situation where a student graduates from their educational program at the time planned or determined by the relevant educational institution. This research aims to optimize predictions of student graduation on time using the Binning method to group variables into discrete categories and Synthetic Minority Oversampling Technique (SMOTE) to overcome class imbalances in the dataset. Data containing several variables was analyzed using the Naïve Bayes, Decision Tree and Random Forest machine learning algorithms. Model evaluation is carried out using metrics such as precision, Recall, accuracy, and F1-score. The results confirm that the combination of Binning and SMOTE has a significant impact on increasing prediction accuracy. It is hoped that the results of this research can contribute to increasing the accuracy of predicting student graduation on time. By optimizing the use of Binning and SMOTE, it is hoped that the prediction model can overcome the problem of data imbalance and provide more accurate information to higher education institutions to take the necessary preventive actions to increase student graduation rates and become a reference for similar research in the future.

Penerapan Large Languange Model dalam Analisis Sentimen pada Pemilihan Calon Presiden KHAERUN, A.ALI AKBAR; Afif, Nur; Mustikasari, Mustikasari
AGENTS: Journal of Artificial Intelligence and Data Science Vol 4 No 2 (2024): March - August
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jagti.v4i2.83

The presidential candidate election in Indonesia is a hot topic on social media, especially Twitter. This study analyzes public sentiment regarding the 2024 presidential candidate election using the IndoBERT model, which is specifically designed for the Indonesian language, on a dataset of 8,442 tweets. This research follows the CRISP-DM methodology, which includes business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The data was collected through crawling with keywords related to the election, followed by preprocessing and manual labeling before being processed by the model. The results show that IndoBERT achieved an accuracy of 98%, with precision, recall, and F1-score also at 98% at the 10th epoch. Batch size evaluation indicated that a batch size of 4 yielded the best performance. This model is effective in classifying sentiment related to the 2024 presidential candidate election and serves as a useful tool for understanding public opinion.

Deteksi Serangan DDoS (Distributed Denial of Service) Menggunakan Wavelet Decomposition dan Optimasi Hyperparameter Berbasis Optuna Ghibran, Andi Khalil; Mustikasari, Mustikasari; Darmatasia, Darmatasia; Antamil, Antamil
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8706

This study aims to design and develop a Distributed Denial of Service (DDoS) attack detection system based on Wavelet Decomposition capable of identifying network traffic anomalies in real-time. The main problem addressed is the high false positive rate in conventional detection methods, which often fail to distinguish between legitimate traffic bursts and actual attacks. Two primary data sources were used: the CICIDS2017 dataset and self-generated data representing controlled DDoS attack patterns. The proposed method applies Discrete Wavelet Transform (DWT) to decompose network traffic signals into amplitude and energy components. Detection is then performed using the Median Absolute Deviation (MAD) approach, optimized with three parameter search methods: Grid Search, Random Search, and Optuna. Experimental results indicate that the energy-based method with Optuna optimization achieves the best performance, with an accuracy of 98.6% on the CICIDS2017 dataset and 99.4% on the self-generated data, and error rates of 1.4% and 0.6%, respectively. This research contributes to enhancing the accuracy of DDoS detection systems with low computational overhead, making it suitable for large-scale network environments.

Co-Authors A.A. Ketut Agung Cahyawan W Achir Yani S. Hamid Achir Yani, Achir Aditya, Muhammad Ferly AFIF, NUR Agus Setiawan Agus Waluyo, Agus Akemat, Akemat Alfriyani, Meyunda Anny Rosiana Masithoh ANTAMIL, ANTAMIL Asy-Syifa, Farhani Dea Basri Fahriza Budi Anna Keliat Chandra, Yudi Ariesta DARMATASIA, DARMATASIA Daulima, Novy H. C. Daulima, Novy Helena Eka Budiarto, Eka ELISA ALTASANI Emi Wuri Wuryaningsih Eriyono Budi Wijoyo Evi Martha Evin Novianti Fandy Yoduke Firman Hidayat Fitria, Dian Fitriyani, Fadillah Nur Futriani, Elfira Sri Ghibran, Andi Khalil Gina, Agnes Hamid, Achir Yani Handayani, Buntar Hardayati, Yunita Astriani Hargiana, Giur Hariani Hariani, Hariani Hermanto, Hendy Herni Susanti Ice Yulia Wardani ike mardiati agustin Imelisa, Rahmi INDARNA, ASEP AEP Indra Ismawan, Indra Ismawan KHAERUN, A.ALI AKBAR Kuswantoro Rusca Putra Laela, Sri Laily Nur Hidayati, Laily Nur Livana Ph, Livana M Akbar Nugraha Mandasari, Linda mariyati mariyati Mutianingsih, Mutianingsih Nofrisel, Nofrisel Norman Wijaya Gati Noviyanti, Laura Khattrine Novy Helena Chatarina Daulima Nugraha, Setiya Nuraenah, Nuraenah Nurfalah, Firhan Nursery Alfaridi S Nasution Oktavia, Maynah Puteri, Yossie Susanti Eka Rahayu, Prastiwi Puji Rahman, Faidhul Roswendi, Achmad Setya Sambuaga, Michelle Christine Sandriana Marina Saputra, Wahyuddin Sembiring, Kezia Arihta Setiyani, Adek Silalahi, Malianti Siska Amonalisa Silalahi Sri Laela Sri Wahyuni Sri Yona Sri Yulia Sriyk H, Sriyk H Susanti Niman Syahira, Apridina Tri Setyaningsih Triani Banna Triaswati, Rusmai Tuti Nuraini Wahyudi, Fitra Albana Wardhani, Ice Yulia Wisnusakti, Khrisna Yanuar Fahrizal Yati Afiyanti Yoduke, Fandy Yosi Pahala, Yosi Yossie Susanti Eka Putri Yulianti Keke Yuliastuti, Estin Yuniar Mansye Soeli Zimbalis, Aprillia

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