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All Journal E-Link: Jurnal Teknik Elektro dan Informatika The Center For Sustainable Development Studies Journal
Edwin Alexander
Universitas Katolik Darma Cendika
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Medicine & Pharmacology

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Perancangan Aplikasi Android Katalog Buku Dengan Fitur Barcode Scanner Menggunakan Google ML Kit Ryan Putranda Kristianto; Edwin Alexander; Yulia Wahyuningsih; Yosefina Finsensia Riti; Stephanus Surijadarma Tandjung; Andre Hartanto
The Center for Sustainable Development Studies Journal (Jurnal CSDS) Vol 1 No 1 (2022): Juni
Publisher : Faculty of Engineering, Darma Cendika Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (424.764 KB) | DOI: 10.37477/csds.v1i1.368

Abstract

Teknologi Barcode Scanner merupakan teknologi lama dimana terdapat device khusus untuk melakukan scanning barcode atau QR Code. Namun apabila dikombinasikan dengan sebuah aplikasi ber-platform mobile khususnya Android, diperlukan sebuah teknologi khusus untuk mewadahinya yaitu teknologi Google ML Kit. Pada tulisan ini dijelaskan perancangan aplikasi katalog buku dengan fitur Barcode Scanner menggunakan Google ML Kit, dimana fitur Barcode Scanner tersebut digunakan untuk melakukan pencarian data katalog buku.
Penerapan Algoritma Simple Moving Average Untuk Prediksi Data Time Series Dengan T-SQL Microsoft SQL Server Ryan Putranda Kristianto; Edwin Alexander; Yulia Wahyuningsih; Yosefina Finsensia Riti; Stephanus Surijadarma Tandjung; Andre Hartanto
The Center for Sustainable Development Studies Journal (Jurnal CSDS) Vol 1 No 1 (2022): Juni
Publisher : Faculty of Engineering, Darma Cendika Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (442.511 KB) | DOI: 10.37477/csds.v1i1.369

Abstract

Microsoft SQL Server merupakan DBMS yang sangat populer, yang digunakan sebagai media penyimpanan data. Kemampuan Microsoft SQL Server sebenarnya tidak hanya pada kemampuan memanajemen penyimpanan data saja, namun juga dapat digunakan sebagai data analytic. Pada tulisan ini dijelaskan penerapan algoritma Simple Moving Average untuk prediksi data time series pada Microsoft SQL Server. Teknik pemrograman query yang dipakai adalah T-SQL (Transact SQL) yang merupakan teknik bawaan SQL Server dan didalamnya termasuk teknik – teknik pemrograman query seperti looping, selection dan lainnya. Algoritma Simple Moving Average berhasil diterapkan pada Microsoft SQL Server dan berhasil menghitung angka prediksi data aktual yang telah di-record-kan pada tabel database.
PERANCANGAN APLIKASI DESKTOP KASIR PADA BENGKEL MOTOR DI SURABAYA Louis Maximillian; Ivan Sanjaya; Edwin Alexander
E-Link: Jurnal Teknik Elektro dan Informatika Vol. 19 No. 1: Mei 2024
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/e-link.v19i1.7195

Abstract

Workshops are a business that has an important role in the Indonesian economy. However, there are still many workshops that do not have a good operational system, especially in terms of recording transactions. This can cause the workshop to be less efficient and effective in running its business. In this research, the author developed a desktop cashier application for workshops. This application was built using Python, PyQt5, and MySQL. This application has features that can help workshops in recording transactions, such as master data, transactions, reports and settings. The research results show that this desktop cashier application can help workshops improve their operational efficiency and effectiveness. This application can make it easier for workshops to record transactions, produce accurate reports, and manage workshop data.
Co-Authors Andre Hartanto Ivan Sanjaya Louis Maximillian Riti, Yosefina Finsensia Ryan Putranda Kristianto Tandjung, Stephanus Surijadarma Yulia Wahyuningsih