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Pemanfaatan Teknologi Virtual Reality (VR) Dalam Pembelajaran Pada Lembaga Kursus Dan Pelatihan Rumah Tik Labuhanbatu Ernawati, Andi; Sitorus, Zulham; Wijaya, Rian Farta; Aulia, Ananda; Siregar, Andree Risky Yuliansyah; Sofyan, Siti Nurhaliza
Jurnal Pengabdian Masyarakat Gemilang (JPMG) Vol. 4 No. 1 (2024): Januari 2024
Publisher : HIMPUNAN DOSEN GEMILANG INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/jpmg.v4i1.152

Learning using technology continues to develop along with developments in technology itself. One technology that is increasingly being used in learning is virtual reality (VR). Virtual Reality is a technology that produces a digital environment that resembles the real world and allows users to interact with that environment. Including in Labuhanbatu Regency, where virtual reality media has been used as a learning medium. However, if we observe that the use of virtual reality as a learning medium has not been distributed thoroughly to every level of student, only the student level can access learning using virtual reality. And if we look more deeply, the virtual reality media content that is presented is able to improve the quality of student learning for each level because virtual reality media will really help improve the imagination and mindset of students at all levels to become more effective and efficient. In Labuhanbatu Regency there are many course and training institutions, judging from the area and the number of course and training institutions in Labuhanbatu Regency, the introduction of virtual reality learning media in Labuhanbatu Regency should be managed generally for all levels of students as a basis for community service activities (PKM). . This activity aims to provide training to students in Labuhanbatu Regency about learning methods using virtual reality technology through videos on cellphones using the Millea Lab Viewer application and VR Player with a virtual box device. Activities carried out focus on introducing and training virtual reality for learning. The methods used include training for students at all levels at the Labuhanbatu Tik House course and training institution regarding the features and concepts of virtual reality, the goals, benefits and practices of using virtual reality. After attending the training, students at the Tik Labuhabatu home course and training institution experienced an increase in their knowledge about virtual reality, as well as their ability to improve the quality and creative imagination in learning virtual reality media content in Labuhanbatu Regency Keywords: virtual reality; learning; content, lkprumahtik, Labuhanbatu

Application of The Odonga Ronga Kolopua Folklore to The Character of Group B Children at The Pembina Wundulako State Kindergarten Ernawati, Andi; Puridawaty , Brigita
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 3 No. 2 (2024): Vol. 3 No. 2 2024
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v3i2.401

This research aims to analyze the influence of the application of the Odonga Ronga Kolopua folklore on the character of group B children at the Pembina Wundulako State Kindergarten. The research method used was an experiment with a pretest-posttest design. The research population was all group B students at the Pembina Wundulako State Kindergarten, totaling 30 students, with a sample of 10 students using a purposive sampling technique. Data collection was carried out through observation sheets and checklists. Data analysis was carried out using SPSS 24 and paired sample t-test. The results of the research show that there is a significant influence of the application of the Odonga Ronga Kolopua folklore on the character of group B children, with a significance value (sig) of 0.002. The implication of this research is the importance of using local folklore in early childhood education to strengthen cultural identity and build sensitivity to traditional values. The suggestion put forward is that PAUD teachers and parents can utilize the Odonga Ronga Kolopua folklore in children's learning activities, and further research can explore the impact of the story on other aspects of children's development such as creativity and language skills.

EFEKTIVITAS ANTIBAKTERI EKSTRAK DAUN TEH HIJAU TERHADAP BAKTERI MYCOBACTERIUM TUBERCULOSIS Misnarliah; Ernawati, Andi
Jurnal Biogenerasi Vol. 10 No. 1 (2024): Volume 10 Nomor 1, Agustus 2024 - Februari 2025
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/biogenerasi.v10i1.4431

Tuberculosis is still a global health problem. Prolonged treatment of tuberculosis and using several anti-tuberculosis drugs (OAT) can cause side effects, one of which is multidrug resistance. Cases of multidrug-resistant (MDR) and extensively drug-resistant (XDR) Mycobacterium strains continue to increase. . Research and development of active compounds from medicinal plants to achieve more effective tuberculosis treatment is still being promoted. This research aims to determine the potential and effectiveness of green tea plant (Camellia sinensis) leaf extract in inhibiting the growth of Mycobacterium tuberculosis strain H37Rv bacteria using the LJ (Lowenstein-Jensen) method in vitro. The research samples used were green tea plant leaves (Camellia sinensis) obtained from the Malino Village Tea Plantation, Tinggi Moncong Regency, Gowa District, South Sulawesi. The leaf extract was made in 4 types of concentrations, namely 10, 20, 50 and 100 µg/ml, each of which was tested against the clinical isolate of Mycobacterium tuberculosis strain H37Rv using the LJ (Lowenstein-Jensen) method as the standard for tuberculosis examination. Of the four extracts tested in vitro, only extract concentrations of 50 and 100 µg/ml were able to very strongly inhibit and kill the growth of Mycobacterium tuberculosis strain H37Rv (inhibition percentage of 100%), not a single bacterial colony growth was found during the observation period. The percentage of inhibition of green tea plant leaves (Camellia sinensis) is the same as the percentage of inhibition of the drug rifampicin. Thus, the leaves of the green tea plant (Camellia sinensis) with concentrations of 50 and 100 µg/ml have potential antituberculosis activity and are prospective to be developed as antituberculosis from natural ingredients, and also as an additional therapeutic complement for TB.

Komparasi Kinerja Algoritma Random Forest dan C4.5 untuk Klasifikasi Harga Mobil Ernawati, Andi; Karim, Abdul
Buletin Ilmiah Informatika Teknologi Vol. 3 No. 1: September 2024
Publisher : AMIK STIEKOM SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/biit.v3i1.95

Determining car prices is a crucial aspect of the automotive industry that requires accurate data analysis for strategic decision-making. This study aims to compare the performance of the Random Forest and C4.5 algorithms in classifying car prices based on specific features, such as technical specifications, production year, and market conditions. The dataset used in this study consists of [mention the size and source of the dataset if available], analyzed using a cross-validation approach to ensure the accuracy of the results. The performance of both algorithms is evaluated based on several metrics, including accuracy, precision, recall, and F1-score. The results show that the Random Forest algorithm consistently outperforms the C4.5 algorithm across most evaluation metrics, achieving an accuracy of [best Random Forest accuracy] compared to [best C4.5 accuracy]. These findings indicate that the Random Forest algorithm is more effective in handling multivariate data complexity and providing more reliable predictions. The conclusions of this study highlight the potential of Random Forest as the primary method for car price classification, especially in scenarios requiring high accuracy levels. This research also contributes to a comparative understanding of decision-tree-based algorithms for applications in the automotive industry and opens opportunities for further research into developing more adaptive and efficient models.

Uncovering Smartphone Brand Strategies through Specification-Based Clustering and Classification Karim, Abdul; Ernawati, Andi
Buletin Ilmiah Informatika Teknologi Vol. 4 No. 1: September 2025
Publisher : AMIK STIEKOM SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/biit.v4i1.167

In an increasingly saturated smartphone market, brand differentiation through technical specifications has become a core strategy for attracting diverse consumer segments. This study proposes a machine learning approach to uncover underlying brand strategies by leveraging smartphone specifications and market pricing across multiple regions. We utilize unsupervised clustering algorithms (K-Means, DBSCAN) to segment devices based on technical features, followed by supervised classification models (Random Forest, XGBoost) to identify and interpret brand-driven design strategies. The dataset comprises smartphones released in 2024–2025, including attributes such as RAM, camera specifications, processor type, battery capacity, and launch prices in Pakistan, India, China, USA, and Dubai. Our findings reveal distinct clusters that align with different pricing tiers and show clear brand positioning patterns. Feature importance analysis using SHAP highlights battery capacity, screen size, and processor type as critical variables influencing brand classification. This study provides valuable insights for both manufacturers and consumers in understanding competitive product strategies within the global smartphone market.

EFEKTIVITAS ANTIBAKTERI EKSTRAK DAUN TEH HIJAU TERHADAP BAKTERI MYCOBACTERIUM TUBERCULOSIS Misnarliah; Ernawati, Andi
Jurnal Biogenerasi Vol. 10 No. 1 (2024): Volume 10 Nomor 1, Agustus 2024 - Februari 2025
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/biogenerasi.v10i1.4431

Tuberculosis is still a global health problem. Prolonged treatment of tuberculosis and using several anti-tuberculosis drugs (OAT) can cause side effects, one of which is multidrug resistance. Cases of multidrug-resistant (MDR) and extensively drug-resistant (XDR) Mycobacterium strains continue to increase. . Research and development of active compounds from medicinal plants to achieve more effective tuberculosis treatment is still being promoted. This research aims to determine the potential and effectiveness of green tea plant (Camellia sinensis) leaf extract in inhibiting the growth of Mycobacterium tuberculosis strain H37Rv bacteria using the LJ (Lowenstein-Jensen) method in vitro. The research samples used were green tea plant leaves (Camellia sinensis) obtained from the Malino Village Tea Plantation, Tinggi Moncong Regency, Gowa District, South Sulawesi. The leaf extract was made in 4 types of concentrations, namely 10, 20, 50 and 100 µg/ml, each of which was tested against the clinical isolate of Mycobacterium tuberculosis strain H37Rv using the LJ (Lowenstein-Jensen) method as the standard for tuberculosis examination. Of the four extracts tested in vitro, only extract concentrations of 50 and 100 µg/ml were able to very strongly inhibit and kill the growth of Mycobacterium tuberculosis strain H37Rv (inhibition percentage of 100%), not a single bacterial colony growth was found during the observation period. The percentage of inhibition of green tea plant leaves (Camellia sinensis) is the same as the percentage of inhibition of the drug rifampicin. Thus, the leaves of the green tea plant (Camellia sinensis) with concentrations of 50 and 100 µg/ml have potential antituberculosis activity and are prospective to be developed as antituberculosis from natural ingredients, and also as an additional therapeutic complement for TB.

The Role of Teachers’ Professional Competence in Implementing School Based Management: Study Analisys at Secondary School in Parepare City of South Sulawesi ProvinceIndonesia Lasadike, Syahruddin; Ernawati, Andi; Abdul Rahman, Mohd. Anuar B.; B. Sihes, Ahmad Johari
International Journal of Evaluation and Research in Education (IJERE) Vol 2, No 3: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (148.871 KB)

The relationship between the role of professional competence of teachers and the implementation of School-based Management (SBM) is investigated in this study. Survey and interviews had been done to 325 respondents consisted of 13 principals, 226 teachers, and 86 school committee members of public secondary schools (SMPN) in Parepare, South Celebes, Indonesia in this mixed-method study. The results showed that the there is a significant relationship between the teachers’ professional competence and the implementation of SBM. In other words, the increase of the teachers’ professional competence is significantly related to the increase of the implementation of SBM. Furthermore, the results also indicated that teachers’ professional competence significantly affect the implementation of SBM. Additionally, the qualitative results from the interviews indicated that teachers’ professional development in the form of performance, commitment, and motivation improvement can be considered as an important strategy to improve the quality of SBM.DOI : http://dx.doi.org/10.11591/ijere.v2i3.2577

Peningkatan Pengarahan Beam dan Estimasi Sudut Kedatangan Berbasis CNN untuk Sistem Antena MIMO Cerdas Karim, Abdul; Purnama, Iwan; Ernawati, Andi
Explorer Vol 6 No 1 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v6i1.2592

This study proposes a Convolutional Neural Network (CNN)–based approach to enhance the intelligence of MIMO antenna systems in Internet of Things (IoT) environments, particularly for modeling the relationship between wireless channel characteristics and achievable communication capacity. Modern MIMO systems face complex challenges due to dynamic channel conditions such as noise, path loss, and multipath fading, which significantly affect data transmission quality. In this research, channel-related features are processed through a structured preprocessing stage before being fed into a CNN model to learn nonlinear relationships among channel parameters. The developed model is designed to predict achievable channel capacity accurately as part of an adaptive and intelligent wireless communication framework. Experimental results show that the proposed CNN model achieves a Test Loss of 0.0317 and a Mean Absolute Error (MAE) of 0.1267 on unseen test data. Visualization of actual versus predicted values indicates that the model demonstrates good generalization across most data ranges, although some deviations remain at extremely high capacity values. Compared to conventional approaches, the CNN-based method shows superior capability in capturing complex correlations among MIMO channel parameters. Therefore, this approach contributes to the development of adaptive and efficient intelligent antenna systems, supporting the growing demands of next-generation IoT communication networks.

Phenotypic and Genotypic Characterization of Bacteria from Diabetic Ulcers: Insights into Resistance and Biofilm Formation Ernawati, Andi; Rusmana, Iman; Wahyudi, Aris Tri; Murtini, Sri; Budiarti, Sri
Journal of Multidisciplinary Applied Natural Science Articles in Press
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.348

Diabetic ulcers are prone to colonization by multidrug-resistant bacteria, complicating treatment and recovery. Therefore, understanding the microbial profile and resistance mechanisms is essential for effective clinical management. This study isolated and characterized bacteria from diabetic ulcer patients in West Java, Indonesia. Identification was performed using the selective differential medium test and 16S rRNA sequencing. Antibiotic susceptibility was assessed via the disc diffusion method, and biofilm formation was evaluated using crystal violet staining. PCR amplification targeted blaTEM and sul1 resistance genes. A total of 15 bacterial isolates were identified, predominantly Staphylococcus aureus and Pseudomonas aeruginosa. Six isolates exhibited a multiple antibiotic resistance (MAR) index >0.4 and demonstrated biofilm-forming capacity. The PCR result confirmed the presence of blaTEM and sul1 genes in three isolates. The findings highlight the prevalence of multidrug-resistant, biofilm-forming bacteria in diabetic ulcers, underscoring the need for targeted antimicrobial strategies and resistance monitoring.

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