Article Per Year (5 Year)
p-Index From 2021 - 2026
4.383
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Simetris Mediator Jurnal Teknologi Informasi dan Ilmu Komputer KOMUNIKA Sinkron : Jurnal dan Penelitian Teknik Informatika Lontar : Jurnal Ilmu Komunikasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat PROSIDING KOMUNIKASI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Ilmu Teknik dan Komputer Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) International Journal of Educational Research and Social Sciences (IJERSC) International Journal of Community Service International Journal of Qualitative Research Electronic Journal of Education, Social Economics and Technology International Journal of Health, Engineering and Technology West Science Business and Management Indonesian Journal of Community Services Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) Siber International Journal of Education Technology Journal of Public Relations and Digital Communication (JPRDC) JPM (Jurnal Pengabdian Masyarakat) Ruwa Jurai Nemui Nyimah
Ida Nurhaida
Universitas Lampung
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering 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 Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

Published : 33 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 33 Documents
Search

 1   2   3   4 
Analisis Sentimen berbasis Deep Learning Terhadap Kesetaraan Gender di Bidang STEM: Perspektif dan Implikasinya Mariam, Siti; Nurhaida, Ida
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 1 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i1.29071

Abstract

Women's participation in Science, Technology, Engineering, and Mathematics (STEM) is still low due to discrimination, gender stereotypes, and lack of access to equal career opportunities. This research analyzes public sentiment about gender equality in STEM fields using the Knowledge Discovery in Database (KDD) approach with the Long Short-Term Memory (LSTM) algorithm. The data consists of 1,200 tweets (2018-2024) collected through web crawling and processed using KDD techniques such as preprocessing, transformation, data mining and evaluation. The resulting LSTM model showed 86.25% accuracy, 88.18% precision, 82.20% recall, and 85.00% F1-score. Sentiment analysis showed support and appreciation for women in STEM (positive sentiment) and criticism of gender discrimination and stereotypes (negative sentiment). This study faced challenges in the form of data imbalance and the model's difficulty in understanding the Indonesian context. Our findings confirm the importance of policies that support gender equality and inclusive work environments. This research is expected to improve people's perception of gender equality and increase the representation of women in STEM fields, especially in Indonesia.
Aplikasi Artificial intelligence untuk Klasifikasi Lengkungan Kaki: Solusi berbasis Radiografi Haris, Abdul; Nurhaida, Ida
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 1 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i1.29098

Abstract

Identifying foot arch types is crucial for maintaining health and comfort. Flat foot arches can cause pain and discomfort, potentially interfering with activities such as sports. This research aims to develop an Artificial intelligence (AI)-based application to detect normal and flat foot arch types through X-ray images. The YOLOv8 model with bounding box is converted to TensorFlow Lite format to be integrated into a mobile platform through Android Studio. The application uses a waterfall model without maintenance, starting from the analysis of x-ray dataset needs, development and testing of the YOLOv8 model, conversion to TensorFlow Lite, design, black box testing, and application on Android devices. This application can only identify x-ray photos of the soles of the feet looking right and left. Confusion matrix application testing with 150 epochs shows performance with recall 86.2%, precision 77.1%, accuracy 83.3%, mAP50 94.9%, and mAP50-95 76.2%. Black box testing on mobile devices using datasets augmented with 45° horizontal shear and 90° rotation resulted in maximum identification accuracy compared to traditional methods such as the wet foot test. Traditional methods print the soles of the feet with an identification process that requires precision of the patient's standing position. This app detects flatfoot early, improving comfort in daily activities and sports.
The Effect of Financial Innovation, Risk Management, and Monetary Policy on the Stability of Fintech Startup Companies in Jakarta Ali, Husain; Sirat, Abdul Hadi; Nurhaida, Ida
West Science Business and Management Vol. 2 No. 04 (2024): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v2i04.1556

Abstract

This study investigates the effects of financial innovation, risk management, and monetary policy on the stability of fintech startup companies in Jakarta. Using a quantitative approach, data were collected from 35 fintech startups through structured questionnaires with responses measured on a Likert scale of 1-5. Data analysis was conducted using SPSS version 25, employing correlation and multiple regression analysis. The results reveal that financial innovation is the most significant predictor of fintech stability, followed by risk management and monetary policy. The combined influence of these factors explains 74% of the variance in fintech stability. These findings underscore the importance of integrating innovation with robust risk management practices and aligning operations with macroeconomic trends for sustained stability. This research provides valuable insights for fintech stakeholders and policymakers to foster resilience and growth in the rapidly evolving financial ecosystem.
Fostering Sustainable Digital Leadership in Educational Organization, Systematic Literature Review using NVIVO and PRISMA Giovanni, Netaniel; Ali, Hapzi; Nurhaida, Ida
Dinasti International Journal of Economics, Finance & Accounting Vol. 5 No. 3 (2024): Dinasti International Journal of Economics, Finance & Accounting (July - August
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v5i3.2853

Abstract

This research identifies the role of digital leadership in educational organizations. The analysis uses qualitative analysis. The research method used is SLR (Systematic Literature Review) with the PRISMA protocol through stages supported by the Publish or Perish and NVIVO applications. All supporting publications were searched through Publish or Perish and Dimension Database. The article search results found 543 related studies in 2020-2024, then filtered through the PRISMA protocol to 35 articles selected to answer the research questions. The results of the article are: 1) Sustainable digital leadership involves several essential aspects: agility, resilience, and adaptability. 2) There are 10 sustainable digital leadership competencies that digital leaders need to have: Focus on Vision, Repetitiveness, Communication and Collaboration, Flexibility, Resourcefulness, Risk-Taking and Recovery, Critical Thinking, Culture of Learning, Responsiveness, and Creativity and Innovation. 3) Future leaders must prioritize understanding digital change and assessing digital leadership competencies. This competency development can take the form of training, talent development, support from experts, and digital leadership assessments. 4) Essential to provide financial resources, infrastructure, work environment, and access to the latest learning technology. 5) The most vital aspect of digital leadership is how leaders collaborate and empower to realize the vision, implement change, and create a creative and innovative educational organizational environment.
Online Health Navigation: Study Case of @leonavictoria_ahligizi’s Instagram's Impact on Information Fulfilment for Stunting Prevention Reza Gustifa, Adinda; Windah, Andi; Tina, Kartika; Nurhaida, Ida; Aryanti, Nina Yudha
International Journal of Health Engineering and Technology Vol. 2 No. 6 (2024): IJHET MARCH 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v2i6.196

Abstract

This study investigates the impact of Instagram content on maternal attitudes and practices pertaining to child nutrition and the prevention of stunting. The study utilizes case study approach to analyze the Instagram account @leonavictoria_ahligizi on Milhinhos's theoretical framework. The research assesses the content of the account in terms of its relevance, accuracy, value, understandability, discoverability, and consistency. The analysis is contingent upon Instagram's capacity to address a variety of informational requirements, including cognitive, affective, personal integration, social integration, and tension release. The findings illustrate a statistically significant influence of Instagram in improving the dietary practices of mothers of preventing stunting in children. The findings analysis, utilizing SmartPLS 4. 0, revealed a significant association between Instagram content and users' understanding and dietary habits, as evidenced by a path coefficient of 0. 729 This suggests a substantial impact on the satisfaction of information needs. The demographic data indicates that the majority of the participants are well-educated mothers between the ages of 25 and 34, who are actively involved in consuming the content with the aim of enhancing their children's dietary habits. The material presented on @leonavictoria_ahligizi not only serves to increase knowledge and understanding but also facilitates the practical application of nutritional regimens essential for the early developmental phases of children. This highlights the significant importance of customized, trustworthy, and practical social media material in addressing child stunting and advancing public health by promoting informed dietary habits. The incorporation of social media platforms into health education initiatives signifies a substantial advancement in efforts to combat worldwide malnutrition and improve the health outcomes of communities.
THE INFLUENCE OF SOCIAL MEDIA MUKBANG CONTENTS TOWARDS ADOLESCENT FOOD CONSUMPTION BEHAVIOR Olova, Khansa Ranbia Audreyzovna; Windah, Andi; Riza, Ahmad; Nurhaida, Ida
Journal of Public Relations and Digital Communication (JPRDC) Vol 2, No 2 (2024): Journal of Public Relations and Digital Communication (JPRDC)
Publisher : Universitas Sang Bumi Ruwa Jurai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24967/jprdc.v2i2.3386

Abstract

How individuals eat has an impact on their health and well-being. To maintain their well-being, individuals must control their mindset and social environment. The prevalence of eating broadcasts on YouTube, where content creators consume large amounts of food without revealing nutritional information, continues to be a popular trend that hypothetically affects people's eating habits. The study aims to assess the influence of social media influencers on unhealthy food habits, using Planned Behavior Theory as a framework. This study used a method of survey and collecting quantitative data. This study examined the research site of the University of Lampung. The data analysis was done descriptively. According to the regression formula, Y = 16. 615 + 0677X - Constant term = 16. In summary, with a trust value of 0, 615 indicates a positively oriented regression coefficient X, which represents the magnitude of influence of the X variable on the Y variable. The t-test showed X had a significant impact of 40. 1% on Y 59 remaining. 9% of variation in the Y variable attributed to unexamined factors. The study showed that how much a person's food consumption behavior is affected by watching an eating broadcast depends on their intentions. Consuming the frequency, duration, and attention levels of the broadcast significantly affects and improves unhealthy consumption behavior in adolescents.
Sosialisasi Pelaksanaan Program Merdeka Belajar Kampus Merdeka (MBKM) Kepada Mitra Kerjasama FISIP Unila Nurhaida, Ida; Windah, Andi; Yudha Aryanti, Nina
Nemui Nyimah Vol. 3 No. 1 (2023): Nemui Nyimah Volume 3 Nomor 1
Publisher : FT Universitas Lampung

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

Abstract

Pelaksanaan MBKM yang berbeda dengan sistem pendidikan tinggi selama ini jelas suatu tantangan besar dalam mempertimbangkan aspek program studi, termasuk kuatnya jejaring kerjasama dengan para mitra FISIP. Melalui kesempatan pelaksanaan MBKM di institusi mitra kerjasama, diharapkan mahasiswa akan mendapatkan hard skills (keterampilan, complex problem solving, analytical skills, dsb), maupun soft skills (etika profesi/kerja, komunikasi, kerjasama, dsb). Oleh karenanya, dibutukan wadah yang efektif dan relevan untuk menunjukkan dan mempublikasikan apa yang sudah dilakukan mahasiswa kepada mitra kerjasama FISIP, serta ajang untuk mempertukarkan gagasan di antara para mitra dengan FISIP yang saat ini terlibat di dalam kegiatan MBKM. Dengan demikian, urgensi pengabdian ini dapat memaksimalkan jalinan sinergi kerjasama antara mitra pemerintahan – lembaga kuasai negara, mitra dunia kerja – dunia industri, mitra organisasi profesi – kemasyarakatan dengan FISIP Unila dalam pelaksanaan program MBKM.
Peran Institusi dalam Upaya Sosialisasi dan Penanggulangan Pandemi Covid-19 di Provinsi Lampung Sukohar, Asep; Nurhaida, Ida; Mediansyah, Aulian; Suharyani, Suharyani
JPM (Jurnal Pengabdian Masyarakat) Ruwa Jurai Vol. 5 No. 1 (2020): JURNAL PENGABDIAN MASYARAKAT RUWA JURAI
Publisher : FK Unila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpmrj.v5i1.2824

Abstract

Coronavirus Disease (COVID-19) merupakan Kedaruratan Kesehatan Masyarakat Yang Meresahkan Dunia/Public Health Emergency of International Concern (KKMMD/PHEIC) yang mengenai seluruh Negara. Meluasnya penyebaran kasus Covid-19 ke seluruh negara di dunia saat ini cukup untuk menggambarkan bagaimana seriusnya penyakit ini hingga ditetapkan menjadi kasus pandemic oleh WHO. Indonesia merupakan salah satu negara terdampak Covid-19 dengan peningkatan kasus terkonfirmasi sangat cepat dan berpotensi bertambah jika melihat bagaimana kesadaran masyarakat yang masih tidak mematuhi peraturan pemerintah. Permsalahan Covid-19 di Indonesia tidak hanya pada tingginya kasus terkonfirmasi, akan tetapi juga tingginya jumlah tenaga Kesehatan yang menjadi korban. Provinsi Lampung merupakan salah satu Provinsi terdampak Covid-19 di Indonesia dengan jumlah kasus terkonfirmasi dan kasus kematian yang terus meningkat.Hingga saaat ini Kementerian Kesehatan telah mengeluarkan panduan penanggulangan Covid-19 hingga revisi ke-4. Sehingga hal ini cukup menjadi perhatian serius untuk memastikan bahwa semua tenaga dokter telah memiliki persepsi dan pengetahuan yang sama bagaimana penanggulangan Covid-19 di Indonesia. Universitas Lampung sebagai salah satu perguruan tinggi di Indonesia memiliki peran melalui keikutsertaan dalam penanggulangan Covid-19 yang termasuk sebagai pengabdian kepada masyarakat.Kata Kunci: Covid-19, Pandemi, Universitas Lampung
Sentiment Analysis of US-China Tariffs using IndoBERT and Economic Impact on Indonesia Khaqqi, Fitriyana Nuril; Alfat, Lathifah; Nurhaida, Ida
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11544

Abstract

The US-China trade war has influenced public perception due to its potential economic impact on developing countries like Indonesia. This study analyses Indonesian sentiment towards the tariff policies and their correlation with economic indicators. The dataset consisted of 38,739 social media comments collected through web scraping. The data were processed through data cleaning, case folding, stopword removal, normalization, and stemming. Each comment was labeled as positive, negative, and neutral. The dataset was split into 80% training and 20% testing sets, followed by an oversampling process to balance the class distribution. The data is fine-tuned using the IndoBERT model with the Python programming language. The model achieved its highest performance with an accuracy of 93.03%, precision of 93.42%, recall of 93.03%, and F1-score of 92.94%. Spearman correlation revealed a weak to moderate positive and significant correlation (ρ = 0.434, p-value < 0.05) between public sentiment and global soybean prices. These findings underscore the effectiveness of combining a deep learning model like IndoBERT with statistical analysis to link digital discourse to tangible economic indicators, highlighting the method's potential as a data-driven tool for policy evaluation.
A Hybrid YOLOv11 and LightFM Model for Emotion-Driven Anime Recommendation Ramadityo, Kafka; Nurhaida, Ida
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15579

Abstract

Existing anime recommendation systems focus on genre preferences and viewing history without considering users' emotional states, leading to context-blind recommendations that may exacerbate negative moods and reduce satisfaction. Most existing systems employ outdated architectures with limited accuracy and lack diversification mechanisms to prevent filter bubbles. This study develops an emotion-based anime recommendation system integrating YOLOv11 for facial emotion recognition with hybrid collaborative filtering using LightFM and Maximum Marginal Relevance diversification. The primary novelty lies in seamlessly combining YOLOv11's superior emotion recognition, LightFM's hybrid matrix factorization for cold-start mitigation, and MMR diversification for preventing filter bubbles while maintaining emotional congruence. The methodology employed the KDEF dataset (3,597 images, five emotion classes) for training YOLOv11 with data augmentation, and the MyAnimeList dataset (744,330 interactions) for recommendation modeling. Emotion-to-genre mappings informed by survey data from 51 participants were implemented with MMR diversification to balance relevance and variety. The YOLOv11 model achieved 93.70% validation accuracy, outperforming CNN-LSTM approaches by 37.55 percentage points. The hybrid recommendation model demonstrated test AUC of 0.8567 and Precision@10 of 0.1457, representing 417% improvement over pure collaborative filtering, while diversification increased genre representation by 20.9% with minimal precision loss. This system demonstrates real-time applicability for streaming platforms through camera-based emotion capture and immediate recommendation generation, enhancing user engagement and emotional well-being. The integration represents a significant advancement toward affective computing in entertainment media.
Co-Authors ., Karomani Abdul Haris Ahmad Riza Ahmad Riza Faizal, Ahmad Riza Akhmad Riza Faizal Akmal Junaidi Ali, Husain Andi Windah Andi Windah* Andi, Windah Arif Sugiono Arnila Purnamayanti Aryanti Nina Yudha Asep Sukohar Ayumi, Vina Azis, Diky Luqman Christine, Wulandari Darojat, Agus Dhamanti, Inge Djauharie, Arlyandi S Djuadi, Noverman Fikri, Muhammad Huri Fitri Yakub Giovanni, Netaniel Halim, Yeru Dwi Pratama Hapzi Ali Hasan, Haryanto Hazni, Elvira Hestin Oktiani Hidayat, Januar Putra Ichsan Ichsan Khaqqi, Fitriyana Nuril Kurnia Muludi Lathifah Alfat, Lathifah Maryani, Eri Mediansyah, Aulian Nina Yudha Aryanti Olova, Khansa Ranbia Audreyzovna Pairulsyah Pairulsyah Pratiwi, Chelomitha Arsy Putra, Purwanto Ramadityo, Kafka Reza Gustifa, Adinda Rifqi Muhammad Samsul, Bakri Saputra, Muhammad Azi Sirat, Abdul Hadi SITI MARIAM Slamet Riyadi Sugeng P Hariyanto Sugeng Prayitno , Harianto Sugiyanta Sugiyanta Sugiyanto, Puspandari Setyowati Suharyani Suharyani Tina Kartika Tina, Kartika Tjahjono, Benny Yudha Aryanti, Nina