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All Journal Media Komunikasi Geografi Pendas : Jurnah Ilmiah Pendidikan Dasar KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi Contemporary Mathematics and Applications (ConMathA) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Pengabdian Masyarakat Gemilang (JPMG) Majalah Ilmiah METHODA Indonesian Journal of Elt and Applied Linguistic Semeton Mathematics Journal Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Ulfa, Kurnia
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THE EFFECTIVENESS OF PROJECT-BASED LEARNING IN RAISING TERTIARY STUDENTS' PROFICIENCY ULFA, KURNIA
Indonesian Journal of ELT and Applied Linguistics Vol. 4 No. 2 (2024): INDONESIAN JOURNAL OF ELT AND APPLIED LINGUISTICS (IJEAL)
Publisher : Magister of English language Education study program, Universitas Muslim Nusantara Al Washliyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32696/ijeal.v4i2.5095

Abstract

English speaking proficiency is a critical skill in both academic and professional contexts, especially for English as a Foreign Language (EFL) learners. Traditional language instruction, which often emphasizes grammar and writing, frequently fails to develop learners’ speaking fluency and confidence. This study investigates the effectiveness of Project-Based Learning (PBL) in enhancing English-speaking skills among first-semester Informatics students at the tertiary level. Grounded in constructivist and communicative language teaching theories, PBL emphasizes real-world communication, collaboration, and learner autonomy. Using a descriptive method, students participated in a one-month instructional project that culminated in video presentations, assessed across five key speaking indicators: comprehension, grammar, vocabulary, pronunciation, and fluency. After a one-month PBL intervention, it was shown that 20% of students reached the highest proficiency level (score 85-90), then 55% performed at an average level (score 75-80), and 25% remained at a lower proficiency level (score 60-70). 100% of students showed improvement: high and average performers improved by 15 points on average, and low performers improved by 10 points. Results showed significant improvement across all proficiency levels, particularly among high- and average-performing students. The findings indicate that PBL effectively improves learners’ speaking abilities by promoting engagement, authentic language use, and confidence. However, lower-performing students may require additional scaffolding and support. This study supports the integration of PBL into EFL curricula to promote more interactive and meaningful language learning experiences.
THE ABILITY OF SPEAKING SKILL OF COMPUTER STUDENTS BY PRESENTING INFORMATION BASIC COMPUTER Ulfa, Kurnia
Majalah Ilmiah METHODA Vol. 13 No. 2 (2023): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol13No2.pp100-103

Abstract

The goals of this study are to find out what is the good strategy to stimulate the students’ of computer engineering to study English easily and more active in practicing, besides that the lecturer can be more creative to stimulate and motivate the students’ especially the new students’ to have good impression of study and learning English in the class. This research was taken from the new students of 2022 in the first semester which “Presenting Information Basic Computer in English” by using video as speaking practice in English class. The participants of this research are fifty (50) students from the classroom lecturers which have been attended to get the top ten highest score video presentation. From the data can be shown that class TI-P2101 has got more than one student in highest score. The research to found what are the positive effects from this stimulate to the students that can be improve, and the negative effects to solve their problem and what the lecturer strategy is needed. By this video presentation students can be attract to learn English joyful without stress, and they can learn perfect English from their mistake in video presentation.
THE TRANSFORMATIVE POWER OF ARTIFICIAL INTELLIGENCE (AI) TO ELEVATE ENGLISH LANGUAGE LEARNING Ulfa, Kurnia
Majalah Ilmiah METHODA Vol. 13 No. 3 (2023): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol13No3.pp307-313

Abstract

The article delves into the transformation impact of Artificial Intelligence (AI) on enhancing students’ proficiency in learning English language. Recognizing the global importance of English proficiency, educators are increasingly turning to AI as a powerful tool to revolutionize language education. The integration of AI brings forth personalized learning paths, intelligent tutoring systems, gamification strategies, language learning apps, and automated assessments. These advancements cater to individual learning needs, provide real time feedback, foster engagement through gamified experiences, and offer accurate assessments of language skills. The synergistic relationship between AI and language education represents a paradigm shift in the ways students acquire and master the English language, positioning them for success in an increasingly interconnected world.
Using Media to Stimulate Babies’ Language Activities Development Ulfa, Kurnia
Majalah Ilmiah METHODA Vol. 14 No. 2 (2024): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol14No2.pp182-188

Abstract

As the digital age continues to reshape educational paradigms, it is essential to investigate the purposeful integration of media into infants’ lives to enhance language acquisition “Harmonizing Voices” explores how age-appropriate media, such as videos, apps, and interactive content, can complement traditional methods, providing infants with a multi-sensory and engaging platform for language exploration. Today, various strategies are employed to stimulate babies from pregnancy through infancy, with mothers increasingly using media as a tool. This includes playing music during pregnancy and introducing nursery rhymes through media post-birth to create a sensory -rich environment. This study investigates the synergy between the melodic allure of English nursery rhymes and intricate process of a baby’s linguistic development. Digital platforms like YouTube and Netflix offer numerous nursery rhymes, such as Cocomelon and Bebefinn, which are popular among infants. This research aims to evaluate which of these nursery rhymes programs is more effective in stimulating infants and which elicits more positive reactions. Caregivers, educators, and researchers will gain insights into the connections between musicality, language and early cognitive development through this exploration. The study addresses the identification of high quality media content, strategies for joint engagement between caregivers and infants, and the potential impact of media on various facets of language development. By fostering an environment where technology harmonizes with natural language acquisition processes, this research aspires to contribute valuable insights for educators, caregivers, and researchers. The objective of this study is to observe and compare infants’ reactions to two popular nursery rhyme programs, Cocomelon and Bebefinn. The research aims to identify which program stimulates more positive engagement, thereby providing a deeper understanding of infants’ preferences and the effectiveness of media content in early language development.
Analysis of Land Surface Temperature Changes in East Lombok Regency Using the Cloud-Based Platform Google Earth Engine Dani, Ifan Hasnan; Hardi, Rida Alkausar; Al Paqih, Muhammad Imam; Ulfa, Kurnia; Robbaniyyah, Nuzla Af'idatur; Alfian, Muhammad Rijal
Contemporary Mathematics and Applications (ConMathA) Vol. 7 No. 2 (2025)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/conmatha.v7i2.68243

Abstract

This study uses Google Earth Engine, a cloud computing platform, to examine variations in land surface temperature in East Lombok Regency between 2010 and 2020. This study uses MODIS satellite data and is analyzed using Google Earth Engine by adapting a mathematical method—namely, the Random Forest Algorithm from discrete mathematics. According to the results, the temperature increased from its lowest point in 2010 (14.32°C) to its maximum point in 2020 (36.19°C), rising to 16.67°C and 37.74°C. Due to residential growth, Wanasaba, Pringgabaya, and Sambelia saw the biggest increases. Comprehensive temperature monitoring is made possible by Google Earth Engine, which facilitates the effective processing of large-scale spatial data. These results offer a scientific foundation for policy decisions and are essential for environmental management and climate change mitigation. In addition to supporting environmental monitoring initiatives, this study provides a reference for related studies in other areas dealing with issues related to land use and climate change. This research is important for the Central Lombok government as a basis for mitigation efforts in responding to temperature changes and their implications for land use change.
ALGORITMA HAZE DETECTION DENGAN MENGGUNAKAN HAZE INDEX PADA CITRA SPOT 6/7 Sulyantara, D. Heri; Siwi, Sukentyas Estuti; Prabowo, Yudhi; Brahmantara, Randy Prima; Ulfa, Kurnia
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 15 No. 2 (2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v15i2.3344

Abstract

Multispectral satellite imagery often contaminated by haze and cirrus. It will reduce the accuracy of data interpretation. There are some haze detection methods that have been developed by the experts. However, haze detection is still one of the important challenges for the correction of multispectral optical data. The method is used on hazy SPOT 6/7 imagery. This method is developed based on the reflectance slope of blue and red visible bands. It is used based on the comparison that has been done in the STCHT, HOT, and SHT method. Adding the formula with different coefficients to get the optimum haze index value. Furthermore, the regression analysis has been done on the haze and cloud’s threshold value that is given by the applications of optimum haze index.
Analysis of Changes in Agricultural Land Area in Central Lombok Regency Using Google Earth Engine Ulatalita, Nabila Anzela; Fatanaya, Nafika; Ulfa, Kurnia; Robbaniyyah, Nuzla Af'idatur; Alfian, Muhammad Rijal
Semeton Mathematics Journal Vol 2 No 2 (2025): Oktober
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i2.317

Abstract

Agricultural land plays a vital role in supporting food security and the regional economy; however, rapid development often leads to land-use conversion. This study aims to analyze changes in agricultural land in Central Lombok Regency over the past ten years (2014–2023) using the Google Earth Engine (GEE) platform. The research utilized Landsat satellite imagery to classify land cover types and identify agricultural areas through supervised classification and change detection techniques. The analysis results show a significant decline in agricultural land area, from 29% in 2014 to 26% in 2023. This decrease indicates a conversion of agricultural land to other more economically profitable uses, such as infrastructure development and plantation expansion. The accuracy assessment yielded an overall accuracy of 99%, which is categorized as very good, demonstrating the reliability of the model in mapping land-use changes. The findings of this study are expected to provide useful insights for policymakers in promoting sustainable land-use planning and mitigating the negative impacts of land conversion on the agricultural sector in Central Lombok Regency.
Application of Google Earth Engine for Agriculture Drought Monitoring in East Lombok Robbaniyyah, Nuzla Af'idatur; Hidayatunnisa, Nurul; Maharani, Rani; Ulfa, Kurnia; Alfian, Muhammad Rijal
Semeton Mathematics Journal Vol 2 No 2 (2025): Oktober
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i2.319

Abstract

In tropical regions such as East Lombok Regency, where food production is highly dependent on rainfall, drought poses a major threat to the agricultural sector. This study aims to monitor drought patterns over time using Google Earth Engine (GEE). Vegetation indices, including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and Normalized Difference Drought Index (NDDI), were derived from Landsat 8 satellite imagery. The analysis revealed that during the dry season, particularly in August and September, the southern region—especially Jerowaru Sub-district—experienced severe drought conditions. The western parts, including Sambelia, Pringgabaya, and Suela Sub-districts, were also significantly affected, with the most impacted areas being rain-fed rice fields, corn plantations, and mixed horticultural crops. Temporal trend analysis indicated an increasing drought intensity in the later years of observation. The resulting information can support decision-making in drought risk mitigation and sustainable water resource management. By integrating satellite-based drought assessment with agricultural planning, this approach can strengthen food security and promote adaptive agricultural practices in drought-prone regions such as East Lombok Regency.
Penerapan Metode Moosra Dengan Pembobotan Rank Order Centroid (ROC) Untuk Pemilihan Supplier Bahan Fresh Dermawan, Agung; Syahrizal, Muhammad; Ulfa, Kurnia
JURNAL RISET KOMPUTER (JURIKOM) Vol. 11 No. 3 (2024): Juni 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v11i3.8455

Abstract

Perkembangan teknologi yang pesat menuntut sistem terkomputerisasi dalam berbagai aspek, termasuk pemilihan supplier bahan fresh. Proses manual dalam pemilihan supplier berisiko menimbulkan ketidaktepatan dan subjektivitas, yang dapat merugikan perusahaan akibat ketidaksesuaian supplier dengan kebutuhan. Oleh karena itu, diperlukan sistem pendukung keputusan yang dapat membantu menentukan supplier terbaik berdasarkan kriteria tertentu. Metode Multi-Objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA) dengan pembobotan Rank Order Centroid (ROC) diterapkan untuk menangani pemilihan supplier dengan banyak alternatif dan kriteria. Hasil penelitian menunjukkan bahwa metode ini mempercepat dan meningkatkan akurasi proses seleksi supplier. Dari hasil perangkingan, supplier Rumah Jamur (A3) mendapatkan nilai tertinggi 36,43, sehingga menduduki peringkat pertama sebagai supplier terpilih. Dengan penerapan metode ini, jumlah supplier yang mendaftar berpotensi meningkat, memungkinkan seleksi yang lebih luas dan optimal. Sistem yang dikembangkan tidak hanya membantu perusahaan dalam memilih supplier terbaik tetapi juga meningkatkan efisiensi dalam pengelolaan data dan pengambilan keputusan. Dengan demikian, integrasi teknologi dalam proses ini sangat diperlukan untuk meningkatkan efektivitas operasional perusahaan dan memastikan ketersediaan bahan fresh yang berkualitas sesuai dengan standar yang telah ditetapkan.
PERBANDINGAN KINERJA ALGORITMA GOLOMB CODE DAN TABOO CODE PADA KOMPRESI FILE MP4 Megawati; Sinurat, Sinar; Ulfa, Kurnia
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 04 (2024): Volume 09, Nomor 04, Desember 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i04.18123

Abstract

File compression is a crucial technique in data processing for reducing file size without sacrificing data quality. Effective compression algorithms not only reduce file size but also maintain data integrity. This study compares the performance of two compression algorithms, Golomb Code and Taboo Code, in the context of MP4 file compression. Golomb Code is an efficient compression algorithm for data with geometric distribution, commonly used in lossless compression. Taboo Code is a newer compression algorithm designed to address some limitations of traditional compression methods by using more adaptive and flexible encoding techniques. The study evaluates the performance of both algorithms based on several metrics, including compression ratio, compression speed, and quality of the compressed file. Experiments were conducted on a range of MP4 files with varying sizes and content to achieve comprehensive results and better generalization. The findings indicate that each algorithm has its own strengths and weaknesses. Golomb Code performs better with files that have more regular data patterns and data distributions that align with the algorithm's assumptions. In contrast, Taboo Code excels in flexibility and adaptability with files that have more complex and irregular data patterns.
Co-Authors Al Paqih, Muhammad Imam Alwin Fau Brahmantara, Randy Prima Dani, Ifan Hasnan Dermawan, Agung Fadlina Fatanaya, Nafika Guidio Leonarde Ginting Hardi, Rida Alkausar Hery Sunandar Hidayatunnisa, Nurul Intan, Novia MASITA DWI MANDINI MANESSA, MASITA DWI MANDINI Megawati Muhammad Rijal Alfian Muhammad Syahrizal Nelly Astuti Hasibuan Nur Azizah Rangkuti, Choirunnisaa Rani Maharani Robbaniyyah, Nuzla Af'idatur Setiadi, Hafid Sihombing, Monalisa Dosma Sinurat, Sinar Suha Alvita Sukentyas Estuti Siwi, Sukentyas Estuti Sulyantara, D. Heri Susanti, Pipi Syahputra, Fajar Ulatalita, Nabila Anzela Yudhi Prabowo