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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 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
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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.
Utilizing Demographic, Ethnic, and Human Emotional Variables to Enhance Compassion Feeling: Basis for Slow Lorises Conservation Extension Media Development Christine, Wulandari; Nurhaida, Ida; Sugeng Prayitno , Harianto; Andi, Windah; Samsul, Bakri
Jurnal Manajemen Hutan Tropika Vol. 32 No. 1 (2026)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.32.1.86

Abstract

Slow lorises, listed as endanger under CITES Appendex I, are increasingly found outside forest habitate, including the buffer zone of Wan Abdul Rachman Grand Forest Park (Tahura WAR) in Lampung Province. While this coexistence support ex-situ conservation, it also raises risks of illegal hunting and trafficking. This study investigates how demographics, education, ethnicity, and emotion influence compassion (COMP) toward slow lorises. A log-linear model was applied at a 95% confidence level.  The response variable [COMP] was scored as 1 if respondents expressed compassion, and 0 otherwise. Explanatory variables included esmotions (affection, neutral, disgust), prior direct sightings, education level, and ethnic background. Data were collected through door-to-door survey of 150 respondents across three villages in the Tahura WAR buffer zone during October–November 2023. Each respondent was shown a 20 cm × 30 cm photograph of slow loris before answering. Results suggest that compassion increases significantly among women, those with fisthand sightings, high school gradustes, and respondents with Lampung or Sundanese parental backgrounds. Affection strongly boost COMP, while digust reduces it. These findings highlight the importance of fostering empathy through conservation education programs that complement law enforcement. These results also support the SDG 15 and 16 pillars implementation.
Penerapan LSTM Dalam Deep Learning Untuk Prediksi Harga Kopi Jangka Pendek Dan Jangka Panjang Muhammad, Rifqi; Nurhaida, Ida
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5904

Abstract

Harga kopi sering mengalami berfluktuasi dalam dua tahun terakhir, terlebih harga kopi Arabika dan Robusta terus mengalami fluktuasi yang signifikan, naik dan turun secara berkelanjutan. Data historis menunjukkan variasi yang cukup signifikan dari tahun 2010 hingga Mei 2024. Penelitian ini bertujuan untuk meramalkan harga kopi Arabika dan Robusta baik dalam jangka pendek maupun jangka panjang dengan menggunakan model Long Short-Term Memory (LSTM). Metode yang digunakan yaitu data preparation, pre-processing data, model training, model testing, model evaluation dan data visualization. Performa model yang terbaik dengan menggunakan learning rate 0.0001 dan epoch 150, hal ini ditunjukan oleh tingkat error yang rendah yaitu 1021.5773 menggunakan Root Mean Squared Error (RMSE) dan 660.4265 Mean Absolute Error (MAE). Nilai tersebut diperoleh dengan data training 80% dan data testing 20%, menggunakan 60 timesteps, 225 neuron hidden layer, dan memanfaatkan metode optimasi Adam. Dengan demikian algoritma LSTM dengan performa model tersebut dapat melakukan prediksi harga yang akurat.
Co-Authors ., Karomani Abdul Haris Ahmad Riza Ahmad Riza Faizal Akhmad Riza Faizal Akmal Junaidi Ali, Husain Andi Windah Andi Windah* Andi, Windah Arif Sugiono Arnila Purnamayanti Arnila Purnamayanti Aryanti Nina Yudha Asep Sukohar Ayumi, Vina Azis, Diky Luqman Christine, Wulandari Darojat, Agus Dhamanti, Inge Djauharie, Arlyandi S Djuadi, Noverman Eri Maryani Fikri, Muhammad Huri Fitri Yakub Giovanni, Netaniel Halim, Yeru Dwi Pratama Hapzi Ali 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 Purwanto Putra 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 Tjahjono, Benny Yudha Aryanti, Nina