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All Journal JAIS (Journal of Applied Intelligent System) Jurnal Kesehatan Vokasional Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) JOINT (Journal of Information Technology Jurnal Teknik Informatika (JUTIF) Jurnal Kesehatan Tambusai Jurnal Puan Indonesia Tedc Journal of Economics, Accounting, Tax and Management Journal of Innovative and Creativity Journal of New Trends in Sciences JPPkM: Jurnal Pengabdian dan Pemberdayaan kepada Masyarakat Journal of Applied Information Technology and Innovation
Ayu Hendrati Rahayu
Politeknik TEDC
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ANALISIS KELENGKAPAN PENGISIAN LEMBARAN RINGKASAN MASUK DAN KELUAR REKAM MEDIS RAWAT INAP KSM ILMU KESEHATAN ANAK GUNA MENUNJANG MUTU REKAM MEDIS DI RSUP DR HASAN SADIKIN BANDUNG Encep Hada; Neni Rohaeni; Luqmanul Hakim; Wowo Trianto; Ayu Hendrati Rahayu
Jurnal TEDC Vol 13 No 2 (2019): Jurnal TEDC
Publisher : UPPM Politeknik TEDC Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (162.867 KB)

Abstract

Completeness of filling medical record summary sheets primarily in and out is one of the indicators of medical record quality. This research aims to know the description of the completeness of the summary sheet in and outpatient medical record inpatient internal medicine to support the quality of the medical record in a general hospital area RSUP Dr. Hasan Sadikin Bandung. The research method used is descriptive research method. Research on data collection techniques: observation, interviews, documentation and library studies. The results showed that the completeness of the summary sheet in and out conducted by the authors obtained the percentage of completeness of charging for the months of January and February Year 2019 with a total 228 medical record file is 175 (77%) and for the incompleteness of filling of 53 (23%). The authors suggest to the hospital that: (1) Carry out the completion of the incoming and outgoing hospital outpatient submission sheets must be in accordance with the operational standards of the established procedure. (2) Increased coordination to all room officers of physicians and nurses or personnel concerned about the importance of completeness and filling in medical records. (3) Creating incomplete data on filling in incoming and outgoing summary sheets to be presented to the relevant physician.
Naive Bayes Performance in Analysis of Public Opinion Sentiment Against COVID-19 Ayu Hendrati Rahayu; Ari Sudrajat
Journal of Applied Intelligent System Vol 7, No 3 (2022): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v7i3.7134

Abstract

The huge impact caused by the COVID-19 pandemic has made many people express their opinions on Twitter social media. There are various responses given by the community that are negative and positive. The dataset comes from kaggle with more than 750 tweets of data. Classification designed by the Naive Bayes method. Implementation through preprocessing, case folding, tokenizing, stopword removal, TF-IDF, and cross validation has been able to produce quite high accuracy. After classification, validation will be carried out with Cross Fold Validation. The best value is on cv5 where accuracy = 0.847, precision = 0.855, recall = 0.83, and f1 score = 0.842.
PENYULUHAN TEKNOLOGI DALAM KEHIDUPAN RUMAH TANGGA Nia Ekawati; Shandy Tresnawati; Novita Lestari Anggreini; Ayu Hendrati Rahayu
PUAN INDONESIA Vol. 4 No. 2 (2023): Jurnal Puan Indonesia Vol 4 No 2 Januari 2023
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v4i2.122

Abstract

Humans express technology starting from their intellect and mind. With this, humans have a desire to get out of trouble, wanting to live better, more comfortable and safer. Productive counselling that we do to residents of Taman Bukit Cibogo RT. 08 RW. 17 Leuwigajah Cimahi Selatan regarding technology counselling in household life. The purpose of this service is to convey to residents about applications that can be used in everyday life to help activities carried out by each of them. The application used is on average a digital application that we can download on the playstore or Appstore platform. Based on the results of the service carried out on residents of Taman Bukit Cibogo RT. 08 RW. 17 Leuwigajah Cimahi Selatan, they were quite enthusiastic about the application that the service team conveyed, some even asked for help to install the application they wanted.
TINJAUAN KETIDAKLENGKAPAN BERKAS KEMATIAN GUNA MENUNJANG KUALITAS LAPORAN DI RUMAH SAKIT BHAYANGKARA TK.II SARTIKA ASIH BANDUNG Ayu Hendrati Rahayu; Gerinata Ginting; Riri Damayanti Apnena; Narisya Nur Intan Paba
Jurnal TEDC Vol 16 No 3 (2022): JURNAL TEDC
Publisher : UPPM Politeknik TEDC Bandung

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Abstract

Based on observations in May 2022 carried out at Bhayangkara TK.II Sartika Asih Hospital, Bandung by taking medical record files who died in 2021, from 70 files there were 38 incomplete files and incomplete filling of death files with an average percentage of 72% which includes cause of death, time interval, and authentication. This study seeks to understand the incompleteness of the death file in order to support the quality of reports at Bhayangkara TK.II Sartika Asih Hospital, Bandung. The population in this study were medical record files who died in 2021, which were 238 medical record files. Samples were taken using the Slovin formula with the results of 70 samples. The percentage results regarding the incompleteness of the death file form at Bhayangkara TK.II Sartika Asih Hospital Bandung in 2021 based on the cause of death variable by 54%, based on the time interval variable by 87%, based on the authentication variable by 75%, and based on the overall average obtained by 72%.The author suggests that it is better to fill out the cause of death report more carefully and carefully so that the quality of reports at Bhayangkara TK.II Sartika Asih Hospital Bandung becomes more qualified.
Watermarking using DCT and DWT on Pneumonia images Sudrajat, Ari; Rahayu, Ayu Hendrati
(JAIS) Journal of Applied Intelligent System Vol. 8 No. 3 (2023): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i3.8914

Abstract

Watermarking is a branch of the data hiding technique. Watermarking is a technique used to insert a copyright label on an image, so that the copyright of the image can be protected. Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are techniques that can be used to watermark. In this study, the Discrete Cosine Transform and Discrete Wavelet Transform methods will be used to watermark images to 5 different host images. In the tests carried out, watermarking techniques will be compared using DCT, DWT, DCT-DWT combination and DWT-DCT combination. The results obtained in this study were the highest PSNR value obtained at 41.931, the highest SSIM obtained 0.99515, the highest entropy was also obtained at 7.4186, The best UACI value is 0.0071158 and the best NCPR value is obtained at 93.9068% then, for the best CC value is obtained at 0.99953. As well as the NCC value, the value obtained is the same all in each test, namely with a value of 1.
Improving Heart Disease Severity Prediction Using SMOTE for Imbalanced Data Rahayu, Ayu Hendrati; Sudrajat, Ari
(JAIS) Journal of Applied Intelligent System Vol. 9 No. 2 (2024): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jais.v9i2.11180

Abstract

The heart disease is a prevalent and potentially fatal condition affecting individuals worldwide. In this study, we address the challenge of predicting the severity of heart disease using supervised learning techniques. Leveraging a dataset comprising various demographic and clinical attributes, we propose a solution that employs machine learning models to accurately predict the severity level of heart disease. Among the evaluated models, Random Forest emerges as the top performer, showcasing exceptional precision, recall, accuracy, and F1-score across all severity levels, with an overall accuracy of 98.8%. This highlights the robustness of the Random Forest model in accurately classifying instances across different severity levels. Following closely behind, the KNN algorithm demonstrates commendable performance, achieving an accuracy of 92% and showcasing competitive precision, recall, and F1-score values, particularly for higher severity levels. Despite its notable aspects, XGBoost ranks third among the evaluated models, with an accuracy of 90.4%. While XGBoost excels in certain aspects, such as recall for Level 3 severity, it falls short in overall performance compared to Random Forest and KNN. For future research, exploring ensemble methods that combine the strengths of different algorithms could yield even better classification results, providing avenues for further improvement in predicting the severity of heart disease
Strategi Efektif dalam Penggunaan Teknologi dan Edukasi untuk Pencegahan Diabetes Mellitus Pujilestari, Intan; Monica, Rizqy Dimas; Rahayu , Ayu Hendrati; Ginting , Gerinata; Suharto, Suharto
PUAN INDONESIA Vol. 6 No. 2 (2025): Jurnal Puan Indonesia Vol 6 No 2 Januari 2025
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v6i2.336

Abstract

Diabetes mellitus is a global health issue with increasing prevalence and serious complications that can affect the quality of life of those affected. Prevention is crucial to reduce the burden of this disease. Effective prevention strategies integrate technology and education for better outcomes. The use of technology, such as mobile health apps and glucose monitoring devices, provides easier and faster access for people to monitor their health. Health education delivered through various digital platforms, seminars, and campaigns increases awareness and understanding of diabetes risk factors and prevention steps. The integration of technology and education enables the delivery of more interactive and personalized information, encouraging the adoption of healthy lifestyles and stress management. However, challenges such as limited access to technology and varying levels of digital literacy require inclusive and adaptive approaches. Collaboration between government, private sector, and community organizations is key to supporting sustainable prevention programs. With the right strategies, diabetes mellitus prevention can be enhanced, reducing the risk of complications, improving individual quality of life, and lessening the economic burden on the healthcare system.
Multi-Class Mangrove Classification Using Transfer Learning with MobileNet-V3 on Multi-Organ Images Sudrajat, Ari; Apnena, Riri Damayanti; Rahayu, Ayu Hendrati; Iqtait, Musab
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4683

Abstract

Mangrove ecosystems are important for coastal protection, biodiversity conservation, and climate change mitigation. However, the accurate identification of mangrove species is very challenging due to the morphological similarities between different species, especially when the species are analyzed based on limited plant organs like leaves or stems. Manual identification methods have traditionally been time-consuming, error-prone, and require expert knowledge. Addressing these issues, this research suggests an automatic classification system based on Deep Learning techniques by leveraging the MobileNet-V3 architecture. The system is based on images of three different plant organs—leaves, stems, and seeds—of five mangrove species: Avicennia marina, Avicennia officinalis, Avicennia rumphiana, Rhizophora mucronata, and Sonneratia alba. Data augmentation techniques such as rotation, shifting, and flipping, as well as sharpness enhancement, were applied in the preprocessing step to enhance data variability and ease model generalization. The model was trained with a carefully selected set of hyperparameters and extensively validated through training and testing steps. The experiment results demonstrated outstanding performance with a training accuracy of 99.88% and perfect precision, recall, and F1-score values of 100%. Furthermore, testing with unseen data confirmed the robustness of the model since all test samples were correctly identified. This research concludes that the MobileNet-V3 architecture offers an effective approach to mangrove species classification and suggests that future work should involve larger and more varied datasets, real-world field environments, and the investigation of ensemble models to further extend the adaptability and scalability of mangrove monitoring systems.
TINJAUAN PERLINDUNGAN HAK AKSES TERHADAP DATA PASIEN DALAM REKAM MEDIS ELEKTRONIK DI RSUD CILILIN Shakila, Ramilla; Rahayu, Ayu Hendrati
Jurnal Kesehatan Tambusai Vol. 6 No. 3 (2025): SEPTEMBER 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jkt.v6i3.48971

Abstract

Transformasi digital di bidang kesehatan mendorong penggunaan Rekam Medis Elektronik (RME) sebagai upaya meningkatkan efisiensi dan akurasi dalam pengelolaan data pasien. Seiring dengan pemanfaatan teknologi tersebut, perlindungan terhadap hak akses data pasien menjadi isu krusial yang harus diperhatikan. Penelitian ini bertujuan untuk meninjau penerapan perlindungan hak akses terhadap data pasien dalam sistem RME di RSUD Cililin. Penelitian ini menggunakan pendekatan deskriptif kualitatif dengan metode pengumpulan data melalui wawancara, observasi, dan studi dokumen. Hasil penelitian menunjukkan bahwa RSUD Cililin telah menerapkan pengaturan hak akses berbasis peran (role-based access control) melalui sistem SIMRS Generic Open Source (SIMGOS), yang disesuaikan dengan tugas dan tanggung jawab masing-masing pengguna. Kebijakan internal seperti Standar Prosedur Operasional (SPO) dan Surat Keputusan Direktur menjadi dasar dalam pembatasan hak akses terhadap informasi pasien, guna mencegah penyalahgunaan dan menjaga kerahasiaan data. Implementasi prinsip pembatasan akses minimum (least privilege) turut diterapkan untuk memastikan data sensitif hanya dapat diakses oleh pihak yang berwenang. Perlindungan ini menjadi bagian penting dalam menjamin keamanan dan kepercayaan pasien terhadap sistem informasi kesehatan yang digunakan.
PENGARUH PENGGUNAAN REKAM MEDIS ELEKTRONIK TERHADAP EFEKTIFITAS PELAYANAN RAWAT JALAN DI RUMAH SAKIT UMUM(RSUD) WELAS ASIH wibowo, teguh iman; Rahayu, Ayu Hendrati
Jurnal Kesehatan Tambusai Vol. 6 No. 3 (2025): SEPTEMBER 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jkt.v6i3.49821

Abstract

Penelitian ini dilatarbelakangi oleh pentingnya efektivitas pelayanan rawat jalan di rumah sakit, yang salah satunya dapat ditingkatkan melalui penerapan Rekam Medis Elektronik (RME). Perubahan dari sistem manual ke digital diyakini mampu memperbaiki efisiensi waktu, mengurangi beban administrasi, dan meningkatkan ketepatan pencatatan data medis. Tujuan penelitian ini adalah menganalisis pengaruh penggunaan RME terhadap efektivitas pelayanan rawat jalan di RSUD Welas Asih Kabupaten Bandung. Penelitian menggunakan metode kualitatif dengan pendekatan studi kasus tunggal. Subjek penelitian adalah Kepala CI pada bagian pendaftaran Unit Rawat Jalan yang dipilih secara purposive. Pengumpulan data dilakukan melalui wawancara mendalam dan observasi langsung, dengan fokus pada variabel efisiensi waktu pelayanan, pengurangan antrian, peningkatan ketepatan pencatatan, dan integrasi lintas unit. Hasil penelitian menunjukkan bahwa penerapan RME mampu mempercepat waktu pelayanan dari rata-rata dua–lima menit menjadi satu–dua menit, mengurangi jumlah antrian poli dari lima jalur menjadi dua jalur, serta menerapkan konsep tanpa kertas (paperless). Pencatatan data pasien menjadi lebih cepat, akurat, dan minim kesalahan input. Integrasi RME dalam Sistem Informasi Manajemen Rumah Sakit (SIMRS) juga memudahkan koordinasi antarunit, sehingga alur pelayanan lebih terstruktur. Meskipun demikian, tantangan seperti gangguan koneksi jaringan dan masalah server masih ditemui, namun dapat diminimalisasi melalui penggunaan server ganda, aplikasi alternatif, dan dukungan teknis yang responsif. Kesimpulan dari penelitian ini adalah bahwa RME memberikan dampak positif signifikan terhadap efektivitas pelayanan rawat jalan, meskipun masih diperlukan peningkatan pada aspek infrastruktur dan keandalan sistem.
Co-Authors Aditia Gusman Apnena, Riri Damayanti Ari Sudrajat Aris Haris Rismayana Arya Aditya Asep Maulana Castaka Agus Sugianto Dini Rohmayani Encep Hada Encep Hada Fathia Mawar Firdaus Firdhani Faujiyah Gerinata Ginting Gerinata Ginting Gerinata Ginting Ginting , Gerinata Haikal, Rafli Intan Puji Lestari Intan Pujilestari Iqtait, Musab Luqman Nul Hakim Luqmanul Hakim Marlina, Lusi Monica, Rizqy Dimas Muhammad Ridwan Narisya Nur Intan Paba Neni Rohaeni Neni Rohaeni Nia Ekawati Novi Irawati Novita Lestari Anggreini Pitriani, Kania Pujilestari, Intan Riri Damayanti Apnena Rizqy Dimas Monica Rizqy Dimas Monica Rochmawati Rochmawati Sabila Nopiyanti Setiawan, Nadia Meythalia Shakila, Ramilla Shandy Tresnawati Siti Nuraini Buransa Suharto . Suharto Suharto Suharto Suharto Taufik Fajar Mustafa wibowo, teguh iman Wiwin Tri Antika Wowo Trianto Yesti Suryati