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ANALISIS PENGGUNAAN SOFTWARE PADA PEMBELAJARAN MATEMATIKA BERBASIS MULTIMEDIA INTERAKTIF (STUDI KASUS : SMP IT JABAL NOOR MEDAN) Windy Puspita; Silvia Anggrie Nst; Arif Kusnedi Saragih; Nurbaiti Nurbaiti
Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis Vol. 2 No. 1 (2023): Januari : Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupsim.v2i1.802

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui hasil atau respon para siswa setelah menggunakan media pembelajaran matematika berbasis multimedia interaktif dengan menggunakan software atau perangkat lunak. Metode penelitian yang digunakan dalam penelitian ini adalah metode penelitian kualitatif. Metode pengumpulan data yang digunakan adalah wawancara dengan para siswa di SMP IT Jabal Noor Medan. Temuan atau hasil penelitian ini menunjukkan bahwa sebelum menggunakan pembelajaran multimedia interaktif pemahaman siswa terhadap materi matematika masih terbilang kurang atau lemah, dikarenakan para guru menjelaskan konsep atau materi pembelajaran dengan menggunakan metode pengajaran konvensional atau monoton. Namun setelah menggunakan multimedia interaktif pemahaman siswa terhadap pelajaran matematika menjadi meningkat. Jadi dengan memanfaatkan software dalam multimedia interaktif untuk pembelajaran matematika, dapat memberikan kemudahan bagi para guru atau pengajar dalam memberikan materi pembelajaran kepada para siswa. Sehingga dengan begitu dapat mempermudah siswa dalam memahami materi yang diajarkan, karena sistem pembelajaran dilakukan dengan memanfaatkan berbagai media yang sudah tersedia di komputer. Hal ini akan meningkatkan minat siswa terhadap mata pelajaran matematika dan meningkatkan motivasi mereka untuk mempelajarinya. Berdasarkan hal tersebut dapat disimpulkan bahwa setelah penggunaan multimedia interaktif yang memanfaatkan software di dalam pembelajaran matematika tersebut, motivasi belajar atau semangat belajar siswa serta kemampuan mereka dalam belajar matematika dapat meningkat dengan baik.
Implementasi Data Warehouse Terhadap Manajemen Aplikasi Gojek Pada Menu Gopay Later Tegar Adit Tiawan; Nikira Nikira; Juliana Juliana; Sri Indah Ayu Pertama Sari; Nurbaiti Nurbaiti
Jurnal Publikasi Teknik Informatika Vol. 2 No. 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1734

Abstract

In this day and age, which is already familiar to Indonesian consumers with digital payment systems, there are so many applications that we can find that regulate digital payment systems, namely one of the delayed payment systems (PayLater), one of which is a well-known application that in Indonesia, GOJEK provides a Gopay Later payment system for customers who use the application to try it. In this era, all payment access is very easy. The purpose of this research is to find out whether the community understands the paylater payment system. This research method uses qualitative research methods using library research, with secondary data collection methods sourced from journals and websites. The results of this study show that almost all online shopping applications have a pay later (paylater) feature, so that people are increasingly aware of developments in the field of fintech technology. So that users of this feature feel that they can make transactions easier because they get lots of promos (cashback) and also free shipping.
Analisis Integritas Akademik dan Pemanfaatan Teknologi AI dalam Keberhasilan Pendidikan Digital Nazwa Hanifah; Dinda Audia Syahira; Alfa Rizi Azhari; Abdul Kholik Nasution; Nurbaiti Nurbaiti
Jurnal Transformasi Bisnis Digital Vol. 2 No. 4 (2025): Juli: Jurnal Transformasi Bisnis Digital (JUTRABIDI) 
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jutrabidi.v2i6.1108

Abstract

The rapid development of artificial intelligence technology, particularly through the use of language models such as ChatGPT, has brought about significant changes in educational practices in Indonesia. The use of this technology has contributed to the creation of a more efficient learning process while enriching students' abilities to master and understand material more comprehensively. However, the use of AI in academic activities presents a number of problems, particularly related to scientific integrity, including an increased risk of digital plagiarism and a decline in critical thinking skills. In view of these developments, this study focuses on examining how the use of ChatGPT affects academic integrity and the quality of digital learning at UIN North Sumatra. This study applies a descriptive qualitative method, in which data is collected through interviews with five students from the Faculty of Economics and Islamic Business (FEBI) to gain a deeper understanding of their perceptions of the use of artificial intelligence in learning activities. The findings show that although ChatGPT provides convenience and efficiency in the learning process, students emphasize the importance of supervision and knowledge of ethics so that this technology can be used appropriately and responsibly. Therefore, universities need to strengthen digital literacy and ethics among students and increase supervision to ensure that the use of this technology does not compromise academic integrity. This research contributes to a deeper understanding of the impact of AI use on academic integrity in Islamic universities in Indonesia.
Analisis Pemanfaatan dan Dampak Teknologi Internet dalam Meningkatkan Daya Saing Usaha E-Bisnis Sri Anggraini; Tri Damaiyanti; Maya Rafika Utami; Eko Prasetyo; Nurbaiti Nurbaiti
Jurnal Bisnis, Ekonomi Syariah, dan Pajak Vol. 2 No. 3 (2025): September : Jurnal Bisnis, Ekonomi Syariah, dan Pajak (JBEP)
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jbep.v2i4.1991

Abstract

This study aims to analyze the role of internet technology in enhancing the competitiveness of ebusiness in Indonesia, particularly in the sector of small and medium enterprises (SMEs). Based on theoretical reviews, internet technology, e-business, technology adoption (TAM), and the concept of competitiveness serve as the main foundations for understanding the ongoing digital transformation. The research employed a descriptive qualitative method with a purposive sampling technique, involving five informants consisting of digital SME owners, online store managers, and users of service platforms. Data were collected through interviews and observations, then analyzed using the Miles and Huberman model through the stages of data reduction, data presentation, and conclusion drawing. The findings reveal that the internet plays a crucial role as an essential infrastructure that enhances marketing effectiveness, expands market reach, and improves operational efficiency. Marketplaces, social media, and delivery-service platforms contribute significantly to sales growth and service quality. However, challenges such as low digital literacy, platform commission fees, changes in social media algorithms, and uneven infrastructure development still limit optimal utilization. From a policy perspective, the study recommends strengthening digital infrastructure and improving national digital literacy. This research emphasizes that the success of e-business depends on technology access, human resource competence, and support through public policy. It can be concluded that internet technology serves as a vital foundation for e-business competitiveness in the digital era.
Analisis T2 Turbo Spin Echo dengan GRAPPA dan Tanpa GRAPPA terhadap Kualitas Citra MRI Knee Joint Potongan Sagittal pada Klinis Metastatic Bone Disease Dennis Kelana Putra; Wahyu Hidayat; Nurbaiti Nurbaiti
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 2 (2026): JULY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i2.14621

Abstract

Background: Magnetic Resonance Imaging (MRI) is a diagnostic imaging modality that does not use ionizing radiation and offers high spatial resolution and excellent soft-tissue contrast, making it the primary modality for the evaluation of metastatic bone disease. In musculoskeletal examinations, particularly knee joint MRI, the sagittal T2 Turbo Spin Echo (TSE) sequence plays a crucial role in depicting bone involvement, bone marrow infiltration, and surrounding soft tissues in metastatic cases. This information is essential for assessing lesion extent and supporting accurate clinical diagnosis. In patients with metastatic bone disease, MRI examinations are often limited by severe pain, restricted mobility, and reduced patient tolerance to prolonged scan times. These clinical challenges necessitate the use of faster acquisition techniques without compromising diagnostic image quality. One technique developed to address this need is parallel imaging using Generalized Autocalibrating Partially Parallel Acquisitions (GRAPPA), which operates by undersampling k-space data to reduce acquisition time. However, the application of GRAPPA may influence image quality, thereby requiring objective and clinical evaluation. Methods: This study aimed to analyze differences in image quality, including anatomical structure information, image contrast and sharpness, and artifacts, in sagittal knee joint MRI using T2 Turbo Spin Echo sequences with and without GRAPPA in patients with metastatic bone disease. The study employed a quantitative analytic design with an experimental approach by comparing two acquisition techniques: sagittal T2 TSE imaging with GRAPPA and sagittal T2 TSE imaging without GRAPPA. Image quality assessment was based on contrast and image sharpness parameters, which were evaluated by professional respondents using a structured assessment instrument. The collected data were then statistically analyzed using the Wilcoxon test to determine differences in image quality between the two techniques. Results: the results demonstrated that the contrast and sharpness of knee joint MRI images acquired with GRAPPA are much better than those obtained without GRAPPA. This finding was supported by the Wilcoxon test (Z = −2.388; p = 0.017 < 0.05), indicating a statistically significant difference in image quality in the patients with metastatic bone disease. In addition, the use of GRAPPA in sagittal T2 TSE knee MRI also provided clear visualization of anatomical structures, with artifacts remaining within diagnostically acceptable limits, indicating that this technique is effective and comparable to non-GRAPPA imaging. Conclusions: The use of GRAPPA in sagittal T2 Turbo Spin Echo MRI of the knee joint provides significantly better image sharpness and contrast compared to non-GRAPPA imaging (Z = −2.388; p = 0.017). GRAPPA also enables clear visualization of knee joint anatomical structures with diagnostically acceptable artifact levels. Therefore, GRAPPA is an effective technique for improving anatomical image quality in knee MRI of metastatic bone disease.