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Dini Rohmayani
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PERENCANAAN STRATEGIS SISTEM INFORMASI DI SEKOLAH TINGGI TEKNOLOGI BANDUNG Nova Agustina; Dini Rohmayani; Fahrullah .
Jurnal TEDC Vol 11 No 3 (2017): Jurnal TEDC
Publisher : UPPM Politeknik TEDC Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (268.028 KB)

Abstract

Pada saat ini informasi merupakan komoditas strategis. Penerapan strategis diutamakan pada duniapendidikan mengingat adanya persaingan bisnis yang dapat menghasilkan keunggulan kompetitif. Tujuanpembuatan penelitian ini adalah untuk menghasilkan Perencanaan Strategis Sistem Informasi yang selarasdengan strategi bisnis di Sekolah Tinggi Teknologi Bandung. Bentuk penelitian yang diambil menggunakanrumusan perencanaan strategis sistem dan teknologi informasi yang terintegrasi untuk mempermudahmanajemen mengelola sumber daya untuk menghasilkan informasi yang didapat lebih akurat, sehinggasistem dapat diusulkan, diterapkan dan digunakan oleh STT Bandung.Kata Kunci: Perencanaan, Strategi, Sistem Informasi, Sekolah Tinggi Teknologi Bandung.
RANCANG BANGUN SISTEM INFORMASI KEPEGAWAIAN (SIMPEG) DENGAN SDLC METODE WATERFALL STUDI KASUS DI KANTOR BKPLD KABUPATEN TASIKMALAYA Siti Maesaroh; Dini Rohmayani; Ramlan .; Arsul .
Jurnal TEDC Vol 11 No 2 (2017): Jurnal TEDC
Publisher : UPPM Politeknik TEDC Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.87 KB)

Abstract

Perkembangan teknologi informasi sangat dibutuhkan dalam pemerintahan. Salah satu kebutuhannya adalahpengelolaan data pegawai. Dengan kompleksitas yang relatif rumit, sudah waktunya membangun Sisteminformasi kepegawaian yang lengkap dan sesuai dengan kebutuhan. Sistem informasi kepegawaian inidiharapkan mampu melakukan pengelolaan data pegawai dengan baik sehingga diperoleh perencanaan ,pengawasan dan pengambilan kebijakan strategi yang optimal. Kondisi tersebut membutuhkan perencanaanyang baik dalam pembangunan Sistem Informasi Kepegawaian. Salah satu perencanaan yang baik adalahfungsi dari manajemen proyek. Komponen yang menentukan keberhasilan sebuah Proyek adalah penentuanmetode pengembangan sistem yang tepat. Banyak metoda SDLC (system development life cycle) yang ada,masing masing memiliki kelebihan dan kekurangn. Karena itu dibutuhkan pemilihan SDLC yang tepat dalampembangunan Sistem Informasi Kepegawaian. Dalam penelitian ini akan dipergunakan metode Waterfalldengan alasan sesuai dengan karakteristik Sistem Informasi Kepegawaian dan lingkungan pembangunansistem (BKPLD Kabupaten Tasikmalaya). Karakteristik tersebut adalah proses bisnis pengelolaankepegawaian sudah berjalan dengan baik sehingga kebutuhan sistem sudah tersusun dengan baik, tahapanpekerjaan yang sudah terpola atau prosedural sehingga sesuai dengan kondisi birokrasi di tempatpembangunan. Selanjutnya disusun manajemen proyek yang baik untuk meminimalisir kekurangan darimetoda Waterfall terutama dalam biaya dan waktu pengembangan.Kata Kunci: SDLC, Waterfall, Simpeg
Pengembangan Media Pembelajaran Virtual Reality untuk Meningkatkan Pemahaman Konsep Fisika pada Siswa SMA Dini Rohmayani; Castaka Agus Sugianto
Journal of New Trends in Sciences Vol. 2 No. 1 (2024): Februari: Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v2i1.783

Abstract

The learning of physics, particularly mechanics, poses significant challenges for high school students. Concepts such as Newton’s laws, energy, and three-dimensional vectors are often difficult to grasp using traditional teaching methods. Virtual Reality (VR) has emerged as a promising solution by providing an immersive and interactive learning environment. This study aims to evaluate the effectiveness of VR-based learning media in enhancing students’ understanding of physics concepts, with a specific focus on mechanics. An experimental design was employed, consisting of two groups: an experimental group using VR for learning and a control group receiving traditional instruction. Pre-test and post-test assessments were used to measure the improvement in students' conceptual understanding of physics. The findings indicate that students in the experimental group demonstrated a significant improvement in their understanding of complex physics concepts, such as projectile motion, force, and Newton’s laws, compared to the control group. Students in the experimental group also exhibited higher levels of engagement and motivation, with VR's immersive nature encouraging active participation in learning. The study concludes that VR is an effective tool for enhancing students’ comprehension of abstract and complex physics concepts, improving their visualization and problem-solving skills. Furthermore, VR-based learning provides students with opportunities to conduct virtual experiments and simulations that may not be possible in traditional classroom settings. The implications of this study suggest that VR should be integrated into the physics curriculum to improve learning outcomes, especially in schools with access to the necessary technology. Educators and curriculum developers are encouraged to explore VR’s potential in fostering a more engaging and effective physics education.
Analisis Big Data dalam Deteksi Dini Wabah Penyakit Menular untuk Mendukung Sistem Kesehatan Publik Ayu Hendrati Rahayu; Castaka Agus Sugianto; Dini Rohmayani
Journal of New Trends in Sciences Vol. 2 No. 1 (2024): Februari: Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v2i1.785

Abstract

The rapid spread of infectious diseases remains a major global health threat, and early detection is vital to minimize their impact. This research investigates the role of predictive modeling using big data in the early detection of infectious disease outbreaks. The primary objective of this study is to assess the effectiveness of big data systems in forecasting potential outbreaks and the implications of these forecasts for public health systems. The study employs machine learning-based predictive models to process large health datasets, including electronic health records, sensor data, and social media information. The results demonstrate that the predictive model achieved an accuracy rate of 87%, significantly surpassing traditional methods in terms of early detection. By integrating various data sources such as medical records, sensor networks, and real-time digital traces, the system is capable of providing more accurate, timely predictions, which can greatly improve the ability of public health authorities to respond effectively to emerging health threats. Furthermore, the application of big data in public health not only improves the speed of response but also enhances the allocation of resources, allowing for more targeted and efficient interventions. Despite these successes, challenges remain, particularly in relation to data quality, privacy, and regulatory issues, which could hinder the broader implementation of such systems. Thus, collaboration between government agencies, healthcare institutions, and technology developers is essential to overcome these obstacles and ensure the sustainable integration of big data into public health infrastructures. This research highlights the significant potential of big data to transform public health responses, offering valuable insights for future epidemic management strategies.
Co-Authors Arsul . Ayu Hendrati Rahayu Fahrullah, Fahrullah Nova Agustina Ramlan . Siti Maesaroh Sugianto, Castaka Agus