Article Per Year (5 Year)
p-Index From 2021 - 2026
1.908
P-Index
This Author published in this journals
All Journal Journal of Information System, Applied, Management, Accounting and Research Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Teknologi Informasi dan Multimedia Jurnal Varian Jurnal Bumigora Information Technology (BITe) Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Nusantara: Jurnal Pendidikan Indonesia ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Begawe Teknologi Informasi Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Prosiding Seminar Nasional CORISINDO
Dian Syafitri Chani Saputri
Universitas Bumigora
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Nursing Social Sciences Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Do Computational Thinking and Self Regulated Learning Affect Computer Programming Problem Solving Skills? : An Experimental Study Susilowati, Dyah; Rahim, Abdul; Ananta, Gede Pramudya; Saputri, Dian Syafitri Chani; Hasanah, Uswatun; Ria, Reny Refitaningsih Peby
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 10 No. 3 (2024): September
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i3.12415

Abstract

This study aims to analyze the effect of computational thinking and self regulated learning on computer programming problem-solving skills. The research used a quasi-experiment with a factorial design. Research sampling using a purposive sampling technique. The sampling of this study used a purposive sampling technique, namely students of Bumigora University, Indonesia. The data collected were in the form of tests with data analysis techniques using inferential statistics. The results showed the fulfillment of the prerequisite tests of normality and homogeneity with each Sig value obtained > 0,05. The paired sample t-test test in the control and experimental groups obtained each Sig value < 0.05, so it can be concluded that there is a significant difference in student learning outcomes in each control group and experimental group. The independent sample t-test test obtained a Sig value < 0.05, so it can be concluded that there is a significant difference between the computational thinking method and the conventional learning method. The independent sample t-test test obtained a Sig value < 0.05, so it can be concluded that there is a significant difference between high and low self-regulated learning. Factorial ANOVA test obtained Sig value <0.05, so it can be concluded that the interaction between learning methods and self-regulated learning makes a significant difference in the ability to solve computer programming problems. The implications of applying computational thinking methods and developing self-regulated learning skills significantly improved problem-solving skills in computer programming, thus supporting the need to integrate this approach into curricula and teaching strategies.
Penerapan Augmented Reality Pengenalan Biota Laut yang Dilindungi sebagai Media Pembelajaran Menggunakan Markerless berbasis Android Satriawan, Muhammad Zainul; Saputri, Dian Syafitri Chani
CORISINDO 2025 Vol. 1 (2025): Prosiding Seminar Nasional CORISINDO 2025
Publisher : CORISINDO 2025

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/corisindo.v1.5424

Abstract

Keanekaragaman biota laut Indonesia memiliki nilai ekologis yang tinggi, namun masih kurangnya kesadaran dan pengetahuan masyarakat, terutama anak-anak, terhadap pentingnya pelestarian biota laut yang dilindungi. Penelitian ini bertujuan mengembangkan sebuah media pembelajaran interaktif berbasis Augmented Reality (AR) markerless yang dapat digunakan di perangkat Android untuk mengenalkan berbagai jenis biota laut dilindungi. Pengembangan aplikasi dilakukan menggunakan metode pengembangan multimedia Luther-Sutopo yang mencakup enam tahapan: konsep, desain, pengumpulan materi, pembuatan, pengujian, dan distribusi. Hasil akhir berupa aplikasi edukasi yang menampilkan objek 3D dari biota laut seperti lumba-lumba, paus, dan berbagai jenis penyu, disertai teks, audio, dan visualisasi interaktif. Pengujian alpha menunjukkan seluruh fitur berjalan sesuai rencana, sedangkan pengujian beta dengan 30 responden menunjukkan tingkat kepuasan rata-rata sebesar 100%. Dengan demikian, aplikasi ini terbukti efektif dan layak digunakan sebagai media pembelajaran untuk meningkatkan pemahaman serta kepedulian siswa terhadap biota laut yang dilindungi. .
Implementation of an HTML‑Based Front‑End for the Profiling System of the Indonesian Association of Academics and Scientists (ASASI) of West Nusa Tenggara Region: IMPLEMENTASI FRONTEND BERBASIS HTML PADA SISTEM PROFILING PENGURUS PERKUMPULAN AKADEMISI DAN SAINTIS INDONESIA (ASASI) DAERAH NUSA TENGGARA BARAT (NTB) Rahmatdiyansyah, Aditya; Ratnasari, Dwi; Ariawan, Soni; Saputri, Dian Syafitri Chani; Zubaidah, Teti
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 7 No. 1 (2026): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v7i1.1500

Abstract

The development of information technology in the digital era has encouraged professional organizations to adapt in managing and delivering information more effectively. ASASI (Association of Indonesian Scientists and Academics) NTB, as an academic and scientific organization, requires an information system that is easy to access and capable of presenting administrator profiles in a structured and informative manner for both members and the public. This study aims to design and implement a web-based frontend system for visualizing administrator profiles of ASASI NTB. The development focuses on frontend implementation using basic web technologies such as HTML for content structure, CSS for visual presentation, and PHP native for dynamic data processing, without utilizing frontend frameworks or RESTful APIs. This approach was chosen to ensure simplicity, ease of maintenance, and suitability to organizational needs. The implementation results show that the developed system is able to present administrator profile information clearly, systematically, and in an easy-to-understand format. The system supports organizational transparency, improves information dissemination, and facilitates users in identifying the roles and expertise of each administrator. Strategically, the implementation of a web-based frontend system for administrator profile visualization can enhance the organization’s image, strengthen public trust, and support collaboration with external stakeholders in the digital era.
A Comparative Study of AutoSARIMAX and Long Short-Term Memory Models for Tourist Arrival Forecasting Saptarini, Dian; Saputri, Dian Syafitri Chani; Wardhana, Helna; Martono, Galih Hendro
Jurnal Varian Vol. 9 No. 1 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v9i1.5771

Abstract

This study aims to predict the number of tourist arrivals in West Nusa Tenggara (NTB) Province using two forecasting approaches: AutoRegressive Integrated Moving Average with Exogenous Variables (AutoSARIMAX) and Long Short-Term Memory (LSTM). The dataset was obtained from the Central Bureau of Statistics (BPS) of NTB and consists of international and domestic tourist arrivals and monthly inflation rates for the period 2014–2023. The research process includes data collection, preprocessing, model construction, and result evaluation. The AutoSARIMAX model is applied to capture linear relationships with exogenous variables, while LSTM is employed to model long-term nonlinear patterns. The findings reveal that the LSTM model achieved better forecasting performance, with a Mean Absolute Percentage Error (MAPE) of 2.65%, which is lower than AutoSARIMAX with 3.25%. Nevertheless, AutoSARIMAX provides valuable interpretability regarding the influence of inflation on tourist arrivals. Overall, the comparison between the two models indicates that LSTM is more effective for time-series forecasting of tourist arrivals, while AutoSARIMAX remains useful for analyzing causal relationships. These insights can support decision-making in tourism planning, particularly in anticipating fluctuations driven by economic and external factors.
Co-Authors Abdul Rahim Abdul Rahim Abdurahim, Abdurahim Agus Pribadi Ahmat Adil Ananta, Gede Pramudya Anthony Anggrawan Dian Saptarini Dwi Ratnasari Dyah Susilowati Dyah Susilowati Fahly, Moh. Rizky Galih Hendro Martono Gede Pramudya Ananta Helna Wardhana Kartarina, Kartarina Khasnur Hidjah Maulana, Rahmat Melati Rosanensi Muhammad Jayadi Rahmat Maulana Rahmatdiyansyah, Aditya Reny Refitaningsih Peby Ria Rezky Ramdhaningsih Satriawan, Muhammad Zainul Soni Ariawan Syahroni Hidayat Syaiful Mukhlisin Akbar MZ Teti Zubaidah Triwijoyo, Bambang Krismono Uswatun Hasanah Uswatun Hasanah