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CSRID
Published by Universitas Potensi Utama
ISSN : 20851367     EISSN : 2460870X     DOI : https://doi.org/10.22303/csrid
Core Subject : Science,
Computer Science & IT
CSRID (Computer Science Research and Its Development Journal) is a scientific journal published by LPPM Universitas Potensi Utama in collaboration with professional computer science associations, Indonesian Computer Electronics and Instrumentation Support Society (IndoCEISS) and CORIS (Cooperation Research Inter University).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
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Search results for , issue "Vol. 15 No. 1: February 2023" : 6 Documents clear
Rancang Bangun Sistem Keamanan Pintu Rumah Menggunakan Arduino Berbasis Android Eko Setyo Budi Putra Aji; Rika Rosnelly
Computer Science Research and Its Development Journal Vol. 15 No. 1: February 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

Many people still find it difficult to secure their doors with the current technological orientation. Many people look for safety devices for their doors on various websites, but they are still constrained by the price and how to install the equipment purchased on their door. The existence of tools and applications for designing a home door security system is made with the aim of helping people to secure their door in an easier and more efficient way. The design of the home door security system with the available Android-based Arduino makes it easier for people to secure their home doors, of course, with guides and understanding of the tools described by the author. Tools made using Arduino and applications are made using the Java programming language. The system development, method for making this application uses the MIT App Inventor.
Analisis Sentimen Pengguna Twitter Terhadap Vaksin Sinovac (Covid-19) Dengan Menggunakan Metode Naïve Bayes Evi Dewi Sri Mulyani; Teuku Mufizar; N. Nelis Febriani SM; Hendri Julian Pramana; Intan Hartiwan
Computer Science Research and Its Development Journal Vol. 15 No. 1: February 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

In 2020 Indonesia became one of the countries affected by this corona virus. The government has made various efforts to suppress the spread of the corona virus, one of which is by taking vaccinations. The existence of this vaccination, of course, received a response from the community. Many opinions that appear ranging from hopes to worries. One of the forums where the public can express themselves is through the social network Twitter. In the process of processing public opinion data from Twitter social media, a preprocessing process is needed which can then be classified. The method used to analyze public opinion on Covid-19 vaccination is Naive Bayes. The results of the analysis of public sentiment on the Sinovac vaccine using the Naive Bayes method on Twitter showed that of the 1,139 tweet data, 82% were positive and 18% were negative, so it can be concluded that public sentiment tends to be positive. With accuracy or model testing with Confusion Matrix and K Fold Validation, data accuracy is 80%.
Penerapan Software Testing Life Cycle Pada Pengujian Otomatisasi Platform Dzikra Ruliansyah Ruliansyah; Tukino; Baenil Huda; April Lia Hananto
Computer Science Research and Its Development Journal Vol. 15 No. 1: February 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.15.1.2023.01-11

Abstract

PT Bejana Investidata Globalindo (BIGIO), as an IT consultant and software development company, develops an in-house product called Dzikra which is a platform to help users build good habits in worship. In order to develop this system, the company requires a daily worship content management system known as the Dzikra web admin. The Software Development Life Cycle (SDLC) has several stages, one of the important stages is the testing stage which has the goal of evaluating whether the software has been created in accordance with the specifications and detects bugs or errors. Black box testing automation with Robot Framework can provide good testing documentation and can reduce human errors during the testing process. The implementation of the Software Testing Life Cycle (STLC) in the testing process can also make the testing flow more structured and provide a better focus on each testing stage. The results of the testing show that of the six features tested, they have run as expected. It is hoped that this research will provide support to PT Bejana Investidata Globalindo (BIGIO) in automating software testing process.
Implementasi Metode Certainty Factor Pada Sistem Pakar Untuk Mendiagnosis Gangguan Mental Berbasis Android Nurdiansah; Cucut Cucut Susanto; Husain T; Irmawati; Akbar Bahtiar
Computer Science Research and Its Development Journal Vol. 15 No. 1: February 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

Good mental health is a condition when our mind is in a state of calm and calm, allowing us to enjoy everyday life and appreciate others around us. The importance of mental health for life because it can affect how a person thinks. Mental disorders can change the way a person handles stress, relates to others, makes choices, and triggers the desire to hurt oneself. In this study, the author intends to design and build an expert system to diagnose android-based mental disorders using the certainty factor method. The certainty factor method is a method used to measure something whether it is certain or uncertain in diagnosing and identifying a problem. In whitebox testing, conclusions are drawn, from the overall results of testing the applications made are free from logical errors, this can be seen from the results of calculations for the number of Cyclomatic Complexity (CC) is 12, Region = 12 and IndependentPath = 12, all values are the same. In the blackbox testing, conclusions are drawn, the overall results of the input and output testing of the application that are made are in accordance with the desired specifications. a value of 73% means the system can work well.
Implementasi Teknologi Aztec Code Pada Desain Sistem Reservasi Tiket Bus Berbasis Android Rismayani Rismayani; Nurani; Martina Pineng; Madyana Patasik; Novita Sambo Layuk
Computer Science Research and Its Development Journal Vol. 15 No. 1: February 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

This research aims to apply the Aztec Code technology to design an Android-based inter-district bus ticket reservation system in South Sulawesi. So far, bus ticket reservations are still made via telephone and even come directly to bus representatives, and the tickets given are still in conventional form. The method used in the implementation uses the Aztec Code, where the Aztec Code will be obtained in digital bus tickets or printed form. Aztec Code is a code that can store alphanumeric information that can be scanned, which makes the Aztec Code easier to read in the scanning process. Furthermore, an Android-based platform is used for smartphone devices in building the system. The result of the research is to design a system that can be used in making bus ticket reservations that are applied to Bintang Prima Makassar, which uses Aztec Code technology and has a good level of ease of reading when scanning the code. Based on the functional testing of the system, valid data is generated.
Pendekatan Filsafat Ilmu Terhadap Perkembangan Deep Learning dalam Perspektif Aksiologi: Philosophy of Science Approach to the Development of Deep Learning in Axiological Perspective LInda Wahyuni; Budi Triandi; Muhammad Zarlis; Zulkifli Nasution
Computer Science Research and Its Development Journal Vol. 15 No. 1: February 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

Deep learning is part of the most popular artificial intelligence (AI) technology among the public where this research aims to assist in solving problems. This study discusses the relationship between the philosophy of science and the correlation of axiology on the development of deep learning. This study uses library research by collecting literature studies, analyzing data, describing the contents of the problem, concluding the problem, providing conclusions and suggestions. The basis for implementing knowledge about deep learning can recognize objects or sounds with the science under study and the correlation between axiology and the development of deep learning trials, the need for deep learning in an increasingly complex society becomes the basis for developing systems where data processing is carried out in more detail. and produce the correctness according to the algorithm that has been inputted. The research discussed also provides suggestions for guidance on the development of deep learning science on the development of axiology related to the philosophy of science in the implementation of deep learning systems on the development of science and technology in the field of computers.

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