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Implementasi Teknologi Blockchain Untuk Meningkatkan Keamanan Dan Efisiensi Dalam Sistem Perbankan Di Indonesia Siswoyo, Cindy; Feny; Teguh, Griffin; Justin; Juliardo, Vinsont; Joosten
Nusantara Journal of Multidisciplinary Science Vol. 2 No. 4 (2024): NJMS - November 2024
Publisher : PT. Inovasi Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Blockchain adalah sistem basis data yang terdesentralisasi, di mana data disimpan dan diambil oleh node-node independen yang beroperasi secara terdistribusi. Teknologi ini memiliki banyak keunggulan terutama dari segi keamanan, transparansi dan efisiensi. Di sektor perbankan, blockchain dapat mengubah cara tradisional dalam menghadapi tantangan terkait keamanan data, perbedaan rekonsiliasi, dan inefisiensi. Tujuan dari penelitian ini adalah untuk mengevaluasi penerapan teknologi blockchain di sektor perbankan Indonesia dengan menggunakan metode deskriptif dan analitis. Penelitian ini menjelaskan penggunaan blockchain dalam pembayaran, verifikasi identitas dan sistem manajemen risiko oleh bank-bank di Indonesia dan menilai tingkat adopsi blockchain dan hubungannya dengan peningkatan transaksi. Implementasi awal teknologi ini oleh beberapa bank di Indonesia, seperti Bank Mandiri dan PermataBank, menunjukkan manfaat signifikan, meskipun adopsinya masih dalam tahap awal. Untuk memperluas penerapannya, diperlukan regulasi yang mendukung, pelatihan sumber daya manusia, serta investasi pada infrastruktur teknologi. Hasil penelitian menunjukkan bahwa blockchain dapat mempercepat transaksi, mengurangi biaya transaksi dan meningkatkan keamanan data pelanggan dan manajemen risiko
The Influence of Product Quality, Service Quality, and Price Towards Customer Purchase Decision at Starbucks Coffee in Diponegoro Medan Justin; Jocelyn; Tifanny Husin; Tessa Monica Sidauruk
International Journal of Economics, Business Management and Accounting (IJEBMA) Vol. 3 No. 1 (2021): January 2021
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijebma.v3i1.223

Abstract

The effect of service quality has a significant positive effect on Starbucks Coffee customer purchase decision at Diponegoro Medan, meaning that the better the service, the higher the level of satisfaction obtained by consumers. This is reasonable because consumers always see the most important in terms of service quality. The effect of product quality has a significant positive effect on Starbucks Coffee customer purchase decision in Diponegoro, Medan meaning that the better the product quality, the higher the level of satisfaction created and obtained by consumers. This is reasonable because consumers feel their desires are fulfilled in product quality. The effect of price has a positive but not significant effect on Starbucks Coffee customer purchase decision in Diponegoro, Medan meaning that consumers are indeed satisfied with the quality of service and product quality created, but consumers do not see much from the Starbucks price perspective. Consumers see more in terms of services and products provided
Audit Energi pada Data Center Kampus untuk Efisiensi Energi Berbasis Digital Twin Mustaram, Rizal Faris; Gulo, Teguh Solavide; Leksono, Edi; Justin
Jurnal Otomasi Kontrol dan Instrumentasi Vol 15 No 1 (2023): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2023.15.1.6

Abstract

The research was developed using digital twin techniques to predict thermal loads through real-time data on the HVAC system in the data center. The physical device system was digitalized using IoT (Internet of Things) technology, and through this technology, a digital space was created to represent the prediction model. Instrumentation for data acquisition and real-time monitoring systems was created using IoT techniques, as well as an analysis of the performance of the data center cooling system. The aim of this research was to obtain thermal load predictions for the data center energy system and then analyze them using the heat balance method to determine the ratio of thermal load to the performance (cooling capacity) of the existing data center cooling devices. This was done to determine the potential for energy savings. The average predicted thermal load was 30.66 kW/h on October 25, 2022, and 29.88 kW/h on October 26, 2022. Therefore, the heat balance value against the nominal cooling capacity of the installed cooling devices was 40.95% for PAC 1 and 49.21% for PAC 2.