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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
Communicative Parenting Workshop in the Digital Era : Reducing Challenges and Finding Solutions for Parents and Early Childhood Children Nurhaida, Ida; Sugiyanto, Puspandari Setyowati; Windah, Andi; Oktiani, Hestin; Sugiyanta, Sugiyanta
Bulletin of Social Studies and Community Development Vol 4, No 1 (2025): Bulletin of Social Science and Community Development
Publisher : Institute of Multidisciplinary Research and Community Service

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61436/bsscd/v4i1.pp14-23

Abstract

The use of gadgets and internet access opens up great opportunities to obtain educational content, enriching children's cognitive stimulation and creativity. However, a series of studies shows that digital parenting interventions practices and strategies parents use to maximize benefits while minimizing the risks of their children's interaction with digital media still face various challenges, especially during early developmental stages. Data from the Operational Curriculum of TK AN-NUR Sabah Balau Tanjung Bintang Lampung Selatan indicates that literacy including digital literacy is considered a basic need in the learning and communication process. This community service aims to reduce children's dependence on gadgets by enhancing parents' digital literacy, strengthening dialogic communication between parents and children in the digital context, raising awareness and skills related to digital safety and health, and integrating local values into digital parenting practices. The activities are carried out in two stages: Focus Group Discussions (FGD) involving interactive dialogues between the service team and participants to identify their initial knowledge about communicative parenting, and training sessions that provide comprehensive knowledge and understanding of communicative parenting for early childhood in the digital era, particularly in facing the challenges posed by the digital world. Evaluation results from pre-tests and post-tests showed a significant improvement in participants' understanding after the training. Before the training, most participants were in the very low understanding category, but after the training, the majority improved their knowledge, with 76.92% of participants in the 'adequate' understanding category and 23.08% in the 'good' category. No participants were in the 'very low' or 'low' category after the training, indicating the success of the program in making a tangible impact.     Keywords: communicative parenting, challenges and solutions, early childhood.
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.