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All Journal Jurnal Inovatif Wira Wacana JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Wijaya, Bernadus Indra
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Kepercayaan Mahasiswa S1 di Indonesia Terhadap Pengambilan Data Pribadi Digital di Media Sosial Karnalim, Oscar; Wijaya, Bernadus Indra; Martua, Juan Sterling; Kurniawan, Phin; Samosir, Moses Marzuki
Jurnal Inovatif Vol. 2 No. 2 (2023): Agustus 2023
Publisher : Universitas Kristen Wira Wacana Sumba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58300/inovatif.v2i2.634

Abstract

Sebagian besar mahasiswa di Indonesia menghabiskan waktu mereka untuk menggunakan media sosial. Mereka perlu menyetujui dan memberikan data pribadi mereka kepada platform media sosial agar bisa menggunakannya. Namun, ada dampak negatif ketika mereka sering mengunggah dan memperbarui data pribadi di media sosial. Penelitian ini bertujuan untuk mengevaluasi tingkat kepercayaan mahasiswa S1 di Indonesia terhadap keamanan data pribadi mereka di media sosial. Metode penelitian melibatkan survei yang menilai tingkat kepercayaan, pengetahuan, dan kesadaran mahasiswa tentang privasi data di media sosial. Hasil survei menunjukkan bahwa mayoritas responden memiliki tingkat kepercayaan yang memadai terhadap keamanan data di media sosial. Mereka juga memiliki pengetahuan yang baik tentang privasi di platform tersebut dan menyadari risiko pengambilan data pribadi. Namun, temuan menunjukkan bahwa mahasiswa berpendapat bahwa regulasi mengenai keamanan data pribadi di Indonesia perlu diperbaiki. Selain itu, sebagian besar mahasiswa memiliki pemahaman tentang kebijakan privasi di media sosial, tetapi kurang dari separuh dari mereka yang benar-benar membaca teks syarat dan ketentuan platform tersebut.
Komputasi Numerik Berkinerja Tinggi dari Integral Multidimensi Menggunakan Sampel Acak Widjaja, Andreas; Gautama, Tjatur Kandaga; Sujadi, Sendy Ferdian; Wijaya, Bernadus Indra
Jurnal Teknik Informatika dan Sistem Informasi Vol 11 No 3 (2025): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v11i3.12999

Abstract

This study examines the use of high-performance computing to carry out multidimensional integral calculation based on stochastic techniques, particularly in the context of Monte Carlo integration. Considering that traditional methods are facing extreme difficulty especially in high-dimension when encountered with "dimensionality curse", random sampling technique to estimate integral values is used. This technique is superior in many aspects, for example in terms of scalability and flexibility, even in complex and irregular domains. In particular, the work concentrates on the case of calculating the volume of a multi-dimensional sphere using random sampling or Monte Carlo techniques. It also introduces a framework that employs the Graphics Processing Unit (GPU) to carry out these computations more effectively. Using dimensionalities from 2 to 24, the work compares both accuracy and computation time of the method. The results show that the random sampling method attains high accuracy in the computation of π which is used as a benchmark. The computational model is implemented in CUDA C/C++, and it takes advantage of GPU parallelism to process large sample sizes as well as execute calculations efficiently. Here it is shown in general that Monte Carlo integration is a viable approach to high-dimensional problems when combined with very rapid GPU parallelism.
Co-Authors Andreas Widjaja Kurniawan, Phin Martua, Juan Sterling Oscar Karnalim, Oscar Samosir, Moses Marzuki Sendy Ferdian Sujadi Tjatur Kandaga Gautama, Tjatur Kandaga