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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 JKG (Jurnal Keperawatan Global) IJNP (Indonesian Journal of Nursing Practices) Jurnal Keperawatan Padjadjaran Jurnal Keperawatan Silampari JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Kesehatan Holistic Media Keperawatan Indonesia Journal of Islamic Nursing International Journal of Nursing and Health Services (IJNHS) Care : Jurnal Ilmiah Ilmu Kesehatan Jurnal Ilmu Keperawatan Jiwa Jurnal Ilmu Keperawatan Medikal Bedah Jurnal Bidang Ilmu Kesehatan JPP Jurnal Kesehatan Poltekkes Palembang Jurnal Ilmiah Keperawatan Indonesia (JIKI) Contagion: Scientific Periodical Journal of Public Health and Coastal Health 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 Alauddin Scientific Journal Of Nursing (ASJN) JURNAL KESEHATAN SAMODRA ILMU Jurnal Impresi Indonesia JUMANTIK (Jurnal Ilmiah Penelitian Kesehatan) Jurnal Ilmiah Ners Indonesia Hulondalo Jurnal Ilmu Pemerintahan dan Ilmu komunikasi (JIPIK) Jurnal Salingka Abdimas Jurnal Keperawatan Ranah Research : Journal of Multidisciplinary Research and Development Agents: Journal of Artificial Intelligence and Data Science Physical Therapy Journal of Indonesia Jurnal Berita Ilmu Keperawatan Prosiding Seminar Nasional Pengabdian Kepada Masyarakat: Peduli Masyarakat NURSE: Journal of Nursing and Health Science Jurnal Sahabat Keperawatan Jurnal Ilmiah Kesehatan Keperawatan
Mustikasari Mustikasari
Fakultas ILmu Keperawatan Universitas Indonesia
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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): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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.
OPTIMALISASI MITIGASI BENCANA MELALUI PEMBENTUKAN TIM PSYCHOLOGICAL FIRST AID PADA BENCANA KEBAKARAN PADA WILAYAH RAWAN KEBAKARAN TAMBORA Mustikasari, Mustikasari; Fitria, Dian; Wardhani, Ice Yulia; Hargiana, Giur; Wijoyo, Eriyono Budi; Oktavia, Maynah; Nurfalah, Firhan
Jurnal Salingka Abdimas Vol 5, No 2 (2025)
Publisher : Universitas Muhammadiyah Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31869/jsam.v5i2.7350

Abstract

ABSTRAK Wilayah Tambora merupakan salah satu kawasan padat penduduk di Jakarta yang memiliki tingkat kerawanan tinggi terhadap bencana kebakaran. Tingginya kepadatan bangunan, rendahnya kesadaran masyarakat terhadap kesiapsiagaan bencana, serta minimnya penanganan psikologis pasca kebakaran menjadi faktor utama yang memperparah dampak sosial dan mental korban. Kegiatan pengabdian masyarakat ini bertujuan untuk mengoptimalkan mitigasi bencana melalui pembentukan Tim Psychological First Aid (PFA) sebagai respon awal dalam penanganan dampak psikologis bagi korban bencana kebakaran. Metode pelaksanaan meliputi sosialisasi, pelatihan dasar PFA, simulasi lapangan, dan evaluasi efektivitas tim. Hasil kegiatan menunjukkan peningkatan pengetahuan peserta mengenai PFA dari rata-rata 72% menjadi 86 % serta terbentuknya tim relawan lokal yang siap tanggap memberikan pertolongan psikologis awal. Dengan demikian, program ini berkontribusi terhadap peningkatan kapasitas masyarakat Tambora dalam mitigasi bencana berbasis psikososial.
The Effectiveness of Cognitive Behaviour Therapy on Relapse in Schizophrenia Patients with Hallucinatios Khasanah, Uswatun; Putri, Yossie Susanti Eka; Mustikasari, Mustikasari
JKG (JURNAL KEPERAWATAN GLOBAL) Artikel in Press (JKG) Jurnal Keperawatan Global
Publisher : Poltekkes Kemenkes Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37341/jkg.v11i1.1260

Abstract

Background: Schizophrenia is a chronic mental disorder characterized by psychotic symptoms such as hallucinations and delusions. Relapses in schizophrenia patients often occur even after undergoing pharmacological treatment. Cognitive Behaviour Therapy (CBT) has been reported to be effective in reducing relapses through cognitive restructuring and improving patients' coping with psychotic symptoms. This systematic review aims to assess the effectiveness of cognitive behavioral therapy (CBT) on reducing relapse rates in patients with schizophrenia, especially in hallucination. Methods: The systematic review was conducted using the JBI approach. The included articles were primary studies with an RCT or quasi-experimental design, published between 2015 and 2024, and available in full text. The selection process was conducted using the PRISMA method, and the final results consisted of 7 articles that met the inclusion criteria. Results: Most studies show that CBT is effective in reducing relapse, improving quality of life or social functioning, and reducing positive and negative psychotic symptoms. Culturally-based CBT and CBT by videoconference have been reported to expand access to intervention. The side effects of CBT are relatively low, but some studies report a decline in impact after therapy is discontinued. Conclusion: CBT is effective in preventing relapse in schizophrenia patients with hallucinations by reducing psychotic symptoms and improving patient coping. Further research is needed to evaluate the long-term effectiveness of CBT.
Co-Authors A.A. Ketut Agung Cahyawan W Abda Abda Achir Yani Hamid Achir Yani S. Hamid Achir Yani, Achir Aditya, Muhammad Ferly AFIF, NUR Agus Setiawan Agus Waluyo, Agus Akemat, Akemat Alfriyani, Meyunda Ali Fendi Anny Rosiana Masithoh ANTAMIL, ANTAMIL Aswin Hardi Asy-Syifa, Farhani Dea Basri Fahriza Budi Anna Keliat Buntar Handayani Chandra, Yudi Ariesta DARMATASIA, DARMATASIA Daulima, Novy H. C. Daulima, Novy Helena Dedi Sukandar Dwi Erna Wati Dwiyantoro Dwiyantoro Eka Budiarto, Eka Eko Winarto ELISA ALTASANI Elly Nurachmah Emi Wuri Wuryaningsih Era Sari Eriyono Budi Wijoyo Evi Martha Evin Novianti Fajriyah Nur Afriyanti Fandy Yoduke Fandy Yoduke Febri Christian Firman Hidayat Firman Hidayat Fitri Hastuti Ningsih Fitria, Dian 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 Ice Yulia Wardhani Ida Ayu Putri Wulandari Ike Mardiati Agustin ike mardiati agustin Imam Zainuri Imas Sartika Imelisa, Rahmi INDARNA, ASEP AEP Indra Ismawan, Indra Ismawan Iwan Somantri Junaiti Sahar KHAERUN, A.ALI AKBAR Krisna Yetti Kuntarti Kurniawan Kurniawan Kuswantoro Rusca Putra Laela, Sri Laily Nur Hidayati Laily Nur Hidayati, Laily Nur Lilik Ma'rifatul Azizah Livana PH Livana Ph, Livana M Akbar Nugraha Mandasari, Linda mariyati mariyati Muhammad Ari Arfianto Mustika Sajida Maharani Mutianingsih Mutianingsih Mutianingsih, Mutianingsih Nela Aprilia Nofrisel, Nofrisel Norman Wijaya Gati Noviyanti, Laura Khattrine Novy H. C. Daulima Novy H.C Daulima Novy Helena Catharina Daulima Novy Helena Chatarina Daulima Nugraha, Setiya Nuraenah, Nuraenah Nurfalah, Firhan Nurhayati Nurhayati Nursery Alfaridi S Nasution Oktavia, Maynah Purwadi Purwadi Puteri, Yossie Susanti Eka Rahayu, Prastiwi Puji Rahman, Faidhul Rani Septiawantari Ratanto Ratanto Retno Yuli Hastuti Ria Utami Panjaitan Ridwan Kustiawan Rohman Azaam Rohman Azzam Rohman Azzam Roswendi, Achmad Setya Royani Royani Sambuaga, Michelle Christine Sandriana Marina Saputra, Wahyuddin Sembiring, Kezia Arihta Setiyani, Adek Silalahi, Malianti Siska Amonalisa Silalahi Siwi Setya Utami Sri Laela Sri Wahyuni Sri Yona Sri Yulia Sriyk H, Sriyk H Susanti Niman Suzanna Suzanna Syahira, Apridina Tiveni Elisabhet Tri Setyaningsih Triani Banna Triaswati, Rusmai Tuti Nuraini Tuti Nuraini Vina Rachmawati Wahyudi, Fitra Albana Wardhani, Ice Yulia Wisnusakti, Khrisna Yanuar Fahrizal Yati Afiyanti Yefta Primasari Yoduke, Fandy Yosi Pahala, Yosi Yossie Susanti Eka Putri Yulianti Keke Yuliastuti, Estin Yuniar Mansye Soeli Yunita Astriani Hardayati Zimbalis, Aprillia