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All Journal JOIV : International Journal on Informatics Visualization Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Infrastruktur
Sigit Wijayanto
Bakrie University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Transportation

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The Effectiveness of a Virtual Reality Marketing Video on the People Desire to Buy a Product Sigit Wijayanto; Jouvan Chandra Pratama Putra
JOIV : International Journal on Informatics Visualization Vol 5, No 4 (2021)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.4.483

Abstract

Virtual Reality technology can provide new experiences and different points of view of activities, events, or products for the users. In line with advances from VR technology, YouTube initiates to support the spread of VR videos by creating a VR feature on their platform. A hundred videos about a dangerous activity, Horror activity, and Marketing video of software or a movie product are found on the YouTube platform. Meanwhile, it is still not yet known how the effectiveness of an advertisement using VR video via the YouTube platform on the people desires to buy a product, especially in Indonesia, which then became the purpose of this study. In carrying out this study, a quantitative study was used by creating a digital questionnaire and distributed it with Google Forms. Then the data obtained will be processed by the respondent demographics and the 4 types of analysis, such as the Validity analysis, the Reliability analysis, the Ranking of VR applications on product promotions, and the Correlation analysis. Afterward, the study found that the B1 and B2 variables refer to Advertising, making it easy for us to understand the product has the most correlation coefficient. Moreover, 80% of the respondents stated that they like the VR advertisement product. It means that people are interested in trying and feel something new in the way VR technology is given to them. Ultimately, the respondents agree that VR advertising has informed them well about the product.
DATA-DRIVEN PREDICTION MODEL OF INDOOR AIR QUALITY Jouvan Chandra Pratama Putra; Sigit Wijayanto
Jurnal Infrastruktur Vol 8 No 1 (2022): Jurnal Infrastruktur
Publisher : Jurnal Infrastruktur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/infrastruktur.v8i1.3288

Abstract

People mostly spend their time indoors for their daily activities. However, indoor air pollutant concentrations are found to be higher than outdoors. Generally, this is caused by the ventilation performance that is not able to dilute indoor air pollutants adequately. The presence of indoor CO2 at certain concentration level is an indicator of indoor air quality and requires field measurements to evaluate it. On the other hand, the consequence of field measurements is not only time consuming but also costly. In order to minimize that problems, this study aimed to predict the model of indoor air quality by referring to previous data. It was achieved by several stages such as input, process, and output. A number of previous data regarding indoor air quality namely indoor CO2, indoor temperature, number of occupants, and air conditioner usage duration were assigned as input. Subsequently, the process stage in this study adopted feed-forward neural networks that divided the data into training data and testing data. Additionally, several activation functions in neural network such as ReLU, tanh, logistic, and identity were involved in the process phase in order to imitate the actual model precisely. Ultimately, the outputs were evaluated using mean square error, mean absolute percentage error, and coefficient of determination. The findings indicated that the application of logistic as activation function was prominently reliable to predict the targeted data. This activation function can improve learning performance which is characterized by their value of mean square error, mean absolute percentage error, and coefficient of determination. In addition, a number of discrepancies of each activation functions were also presented to identify their behavior in terms of imitating the given data. Finally, this approach can be used as a tool to predict the concentration level of indoor CO2 in a concise time and leads to cost efficiency.
Analisa perancangan model sistem monitoring, pencatatan dan pengiriman hasil produksi truk dengan Remote File Transfer System (RFTS) pada perusahaan XYZ menggunakan metode System Development Life Cycle Sigit Wijayanto
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 1 (2020): April 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (477.374 KB) | DOI: 10.32672/jnkti.v3i1.1766

Abstract

Sebuah perusahaan otomotif internasional yang bernama XYZ Indonesia, mengalami sebuah masalah pelayanan purna jual dalam penjualan truk yang mereka lakukan di Indonesia. Masalah tersebut terjadi ketika pelanggan mengajukan servis gratis dari truk yang sudah mereka beli. Salah satu syarat pengajuan adalah mesin dan casis masih seperti saat pelanggan tersebut membelinya. Hal ini menjadi sebuah masalah, karena manajemen di Indonesia tidak memiliki dokumentasi yang baik terkait kegiatan penggabungan casis dan mesin oleh XYZ Indonesia. Untuk diketaui bahwa casis truk memang diproduksi di Indonesia, tetapi mesin truk didatangkan langsung dari India, hal ini dikarenakan XYZ India merupakan sentralisasi pembuatan mesin truk untuk kawasan Asia tenggara. Oleh sebab itu, pembuatan sebuah sistem baru yang mampu mengakomodir pencatatan kegiatan penggabungan casis dan mesin yang dilakukan oleh XYZ Indonesia, dirasa penting. Tujuan dari penelitian ini adalah mampu memberikan saran kepada pihak XYZ Indonesia.
Co-Authors Putra, Jouvan Chandra Pratama