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Pendampingan KKN Tematik LLDIKTI IV di Desa Karang Segar Zy, Ahmad Turmudi; Dasman, Sunita; Rofieq, Ainur; Safitri, Nadya; Nugroho, Agung
Lentera Pengabdian Vol. 1 No. 04 (2023): Oktober 2023
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/lp.v1i04.238

Program Kuliah Kerja Nyata Tematik (KKNT) telah lama menjadi bagian integral dari sistem pendidikan tinggi di Indonesia, memungkinkan mahasiswa untuk mengaplikasikan pengetahuan dan keterampilan akademis mereka dalam konteks dunia nyata sambil memberikan manfaat langsung kepada masyarakat setempat. Dalam upaya meningkatkan dampak positif KKN, Lembaga Layanan Pendidikan Tinggi Wilayah IV (LLDIKTI IV) terus mengembangkan pendekatan inovatif, salah satunya adalah program pendampingan KKN tematik. Pada tahun 2023, desa Karang Segar, yang terletak di bawah yurisdiksi LLDIKTI IV, dipilih sebagai lokasi pelaksanaan KKN tematik. Tujuan utama dari KKN tematik ini adalah untuk meningkatkan kualitas kehidupan masyarakat di Desa Karang Segar, sambil memberikan pengalaman berharga bagi mahasiswa yang terlibat dalam program ini. Paper ini bertujuan untuk memberikan wawasan lebih mendalam tentang pendamingan KKN tematik yang dilaksanakan di Desa Karang Segar pada tahun 2023.

PENERAPAN MEDIA PEMBELAJARAN PENDIDIKAN AGAMA ISLAM BERBASIS TEKNOLOGI INFORMASI Safitri, Nadya; Ardiansyah, Andri; Fahri , Muhammad
INSTRUKTUR INSTRUKTUR: Jurnal Pendidikan Guru Madrasah Ibtidaiyah Vol 4 No 2 (2025): INSTRUKTUR
Publisher : Program Studi Pendidikan Guru Madrasah Ibtidaiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51192/instruktur.v4i2.1840

Education is the spearhead of a country's progress, with the quality of education being the key to determining the direction of national development. Developed and developing countries often realize the importance of education as a top priority for development. The development of information technology, especially in the world of education, has a significant impact on the learning process. According to Subdibyo Lies (2020), the development of information technology brings positive changes in the world of education, making learning more efficient and effective. In Indonesia, in accordance with Law No. 20 of 2013 concerning National Education Objectives, education aims to educate the nation's life, and one way to achieve this is through the use of technology in learning. E-learning as a form of educational technology offers various benefits, such as interactivity, independence, accessibility, and enrichment of learning. Although the implementation of e-learning in Indonesia is still uneven, this technology has great potential to advance the education system, including in Islamic religious education learning. This study aims to explore the application of information technology-based learning media at SMP Yameba Cimulang, as well as the challenges faced in its implementation. The results of the study are expected to provide an overview of the effectiveness of the use of technology in Islamic religious learning and its contribution to improving the quality of education in the school

Mengeksplorasi Faktor-Faktor Penentu Berbagi Pengetahuan di Sektor Publik: Tinjaun Sistematis-PRISMA Rizky, Fajar; Altino, Iqbal Caraka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4864

Knowledge sharing (KS) plays is essential for improving organizational performance and innovation, enabling faster problem-solving and collaboration. However, in the public sector, participation in KS remains low, hindering organizational learning and development. As Indonesia adopts knowledge management systems in its public sector, challenges emerge in fostering knowledge-sharing behaviors. This study uses the systematic review method, following PRISMA 2020 guidelines, to identify key factors influencing knowledge-sharing intention (KSI) and propose solutions. Through a rigorous selection process, 20 relevant studies were analyzed, categorizing factors into individual, organizational, and technological groups. The results indicate that attitudes, perceived behavioral control, subjective norms, reward systems, and the perceived usefulness of technology have a significant impact on KSI. This study offers a comprehensive reference for future research on KS in the public sector and provides insights for policymakers to design initiatives that enhance organizational learning.

Translation Techniques and Their Impacts on Translated Verbs in iPhone User Guide Novitasari, Nine Febrie; Firdaus, Ahmad Yusuf; Safitri, Nadya; Rachman, Alif Fatahilla
Journal of Language Intelligence and Culture Vol. 7 No. 1 (2025): Journal of Language Intelligence and Culture
Publisher : Faculty of Tarbiyah and Teacher Training, IAIN Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35719/jlic.v7i1.624

This study looks at how verbs are translated from English to Indonesian in the iPhone 13 Pro Max user guide, and how the translation techniques used affect how acceptable the translations are to Indonesian readers. While many studies have looked at translating technical texts, not many have focused on verbs or how they affect users’ understanding. This study fills that gap by focusing on verbs, which are important in user guides because they give instructions that need to be clear and easy to follow. The study uses a qualitative method, applying Molina and Albir’s (2002) framework to identify the translation techniques, and Nababan’s (2012) model to measure how acceptable the translations are. Five Indonesian iPhone users were asked to rate how natural and clear the translated verbs were using a three-point scale. The results show that established equivalent was the most commonly used technique and had the highest acceptability. Other techniques such as linguistic compression, compensation, transposition, and modulation were used less often but were still mostly acceptable. By connecting translation techniques to user feedback, this study offers a focused and user-centered contribution to translation studies. It also gives useful insights for translators and user guide developers who want to make their translations clearer, more culturally appropriate, and easier to understand.

Studi Komparatif Algoritma Machine Learning dengan Teknik Bagging dan AdaBoost pada Klasifikasi Kanker Payudara Pramudita, Rully; Safitri, Nadya; Nazah, Vina Zahrotun
TEMATIK Vol. 12 No. 1 (2025): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2025
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v12i1.2435

This study aims to evaluate and compare the performance of five Machine Learning classification algorithms—Support Vector Machine (SVM), Neural Network (NN), Logistic Regression (LR), Decision Tree (DT), and K-Nearest Neighbors (KNN)—in detecting breast cancer using the Breast Cancer Wisconsin (Diagnostic) dataset. The evaluation was conducted in stages, beginning with baseline model training, followed by optimization using Bagging ensemble techniques, and further enhanced with the Adaboost algorithm. Model performance was assessed using accuracy, confusion matrix, ROC curve, and Area Under Curve (AUC) metrics. The results show that Logistic Regression demonstrated the most consistent performance, achieving 97.1% accuracy and the highest AUC of 99.7% after Adaboost was applied. Decision Tree also showed noticeable improvement in both accuracy and AUC. In contrast, Neural Network and KNN models were found incompatible with Adaboost. These findings highlight that the effectiveness of ensemble techniques is highly dependent on the nature of the base algorithm. This research contributes to a better understanding of how to select and combine classification algorithms with appropriate optimization strategies to improve the accuracy of breast cancer diagnosis.

Unveiling the Determinants of Knowledge Sharing and Their Impact on Service Innovation Performance in the Government Sector Rizky, Fajar; Altino, Iqbal Caraka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1204

Knowledge sharing serves as a fundamental driver of organizational innovation, particularly in enhancing public service quality, yet remains significantly underutilized in government institutions. Many public sector organizations fail to recognize the value of knowledge sharing due to its perceived long-term benefits and the absence of concrete evidence demonstrating its measurable impact on service innovation performance. This study examines the driving factors of knowledge sharing and its impact on service innovation performance in government organizations. Data was collected through an online survey targeted at National Civil Service Agency (Badan Kepegawaian Negara or BKN) employees. A total of 465 responses were obtained, which analysed using partial least squares structural equation modeling (PLS-SEM). This study demonstrates that organizational, individual, and technological factors play a significant role in the implementation of knowledge sharing. Most importantly, the research provides empirical validation that knowledge sharing behavior directly and substantially enhance service innovation performance - a relationship previously overlooked in public sector studies. By expanding the theoretical framework of Planned Behavior to incorporate these organizational, individual, and technological dimensions, this study offers public administrators compelling evidence to prioritize knowledge sharing initiatives while providing scholars with a more holistic understanding of innovation mechanisms in government contexts. Future studies should explore additional factors beyond the Theory of Planned Behavior that influence knowledge sharing, as well as other knowledge management dimensions affecting service innovation. Further research could also investigate impacts of knowledge sharing beyond innovation performance, such as organizational resilience or employee well-being in public sector contexts.

Unveiling the Determinants of Knowledge Sharing and Their Impact on Service Innovation Performance in the Government Sector Rizky, Fajar; Altino, Iqbal Caraka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1204

Knowledge sharing serves as a fundamental driver of organizational innovation, particularly in enhancing public service quality, yet remains significantly underutilized in government institutions. Many public sector organizations fail to recognize the value of knowledge sharing due to its perceived long-term benefits and the absence of concrete evidence demonstrating its measurable impact on service innovation performance. This study examines the driving factors of knowledge sharing and its impact on service innovation performance in government organizations. Data was collected through an online survey targeted at National Civil Service Agency (Badan Kepegawaian Negara or BKN) employees. A total of 465 responses were obtained, which analysed using partial least squares structural equation modeling (PLS-SEM). This study demonstrates that organizational, individual, and technological factors play a significant role in the implementation of knowledge sharing. Most importantly, the research provides empirical validation that knowledge sharing behavior directly and substantially enhance service innovation performance - a relationship previously overlooked in public sector studies. By expanding the theoretical framework of Planned Behavior to incorporate these organizational, individual, and technological dimensions, this study offers public administrators compelling evidence to prioritize knowledge sharing initiatives while providing scholars with a more holistic understanding of innovation mechanisms in government contexts. Future studies should explore additional factors beyond the Theory of Planned Behavior that influence knowledge sharing, as well as other knowledge management dimensions affecting service innovation. Further research could also investigate impacts of knowledge sharing beyond innovation performance, such as organizational resilience or employee well-being in public sector contexts.

Sentiment Analysis and Topic Modeling for Discovering Knowledge in Indonesian Mobile Government Applications Hamid, Ricky Bahari; Andriansyah, Chandra; Sensuse, Dana Indra; Lusa, Sofian; Elisabeth, Damayanti; Safitri, Nadya
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.4991

The accelerated rate of government applications development in Indonesia has introduced new opportunities and challenges in delivering digital public services. While thousands of apps have been developed, systemic issues ranging from usability flaws to authentication failures persist, as reflected in user reviews on platforms like the Google Play Store. This study adopts a knowledge discovery approach to extract actionable insights from more than 17,000 user-generated reviews across three major government applications: Satusehat, Digital Korlantas, and M-Paspor. A hybrid methodology is applied, combining RoBERTa-based sentiment classification, BERTopic-based topic modeling, cosine similarity analysis, and qualitative user validation. The findings reveal recurring issues in authentication, interface design, and system responsiveness that span across organizational boundaries. Cross-app topic correlation highlights critical shared pain points such as login failures and unintuitive UI that undermine user trust in e-government services. Mapping these insights onto the SECI knowledge management model, this research contributes both practical recommendations and a replicable analytical framework for public agencies seeking to institutionalize user feedback. By transforming fragmented digital feedback into organizational knowledge, this study supports continuous service improvement and strengthens the foundation for user-centric e-government.

Implementasi Artificial Intelligence (AI) Menggunakan Canva Dalam Pengembangan Powerpoint Interaktif Sebagai Medi Pembelajaran IPAS Di Sekolah Dasar Estuhono, Estuhono; Safitri, Nadya
Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Vol. 6 No. 2 (2025): Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI)
Publisher : Information Technology Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jipti.v6i2.3408

This research is motivated by difficulties students face in understanding IPAS learning. This is because the teaching materials used are still in the form of printed media, while the facilities and infrastructure are very limited, and even students are very enthusiastic about digital learning. Therefore, this has impact on student’s learning outcomes. The aim if thus research is to produce interactive PowerPoint using canva as a learning medium for IPAS in a valid, practical, and effective manner. The research methoud used is the research and development (R&D) method. The learning model used is the ADDIE model, consisting if five stage: Analyze (analysus), design, development, implementation, and evaluation. The type of data collected is qualitative and quantitative data. Data collection techniques used in this research are interviews, observations, and questionnaires. The results of the validation of the interactive PowerPoint for IPAS subjects in fourth grade, validated by three validators, obtained a score of 80,55% categorized as valid. The practicality result assessed from students’ responses obtained a score of 78,3% categorized as practical. Based on this analysis, it is concluded that the interactive PowerPoint using the canva application is declared practical. Furthermore, the effectiveness was assessed, and students’ learning outcomes obtained an average score of 83,52% categorized as very effective.

Translation Techniques and Their Impacts on Translated Verbs in iPhone User Guide Novitasari, Nine Febrie; Firdaus, Ahmad Yusuf; Safitri, Nadya; Rachman, Alif Fatahilla
Journal of Language Intelligence and Culture Vol. 7 No. 1 (2025): Journal of Language Intelligence and Culture
Publisher : Faculty of Tarbiyah and Teacher Training, IAIN Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35719/jlic.v7i1.624

This study looks at how verbs are translated from English to Indonesian in the iPhone 13 Pro Max user guide, and how the translation techniques used affect how acceptable the translations are to Indonesian readers. While many studies have looked at translating technical texts, not many have focused on verbs or how they affect users’ understanding. This study fills that gap by focusing on verbs, which are important in user guides because they give instructions that need to be clear and easy to follow. The study uses a qualitative method, applying Molina and Albir’s (2002) framework to identify the translation techniques, and Nababan’s (2012) model to measure how acceptable the translations are. Five Indonesian iPhone users were asked to rate how natural and clear the translated verbs were using a three-point scale. The results show that established equivalent was the most commonly used technique and had the highest acceptability. Other techniques such as linguistic compression, compensation, transposition, and modulation were used less often but were still mostly acceptable. By connecting translation techniques to user feedback, this study offers a focused and user-centered contribution to translation studies. It also gives useful insights for translators and user guide developers who want to make their translations clearer, more culturally appropriate, and easier to understand.

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