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Journal : International Journal Of Computer, Network Security and Information System (IJCONSIST)

E-commerce Website Development Using Scrum Methods on Small Business Anita Wulansari; Kartika, Dhian Satria Yudha; Agussalim; Wati, Seftin Fitri Ana; Safitri, Eristya Maya; Fitri, Anindo Saka
IJCONSIST JOURNALS Vol 3 No 2 (2022): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v3i2.69

Abstract

Websites are viewed primarily as a platform from which SMEs can portray a sophisticated image and advertise/market their products. One of the main factor affect the adoption of e-commerce by SMEs is the enviroment influence. On small business, the process of recording orders and sales transactions was done manually. These lead to customers complaints because they have to wait for a long time to get the product. In addition, the owners of small business find it difficult to know the popular products among customers. Moreover, the companys are eager to reach out to potential customers. Therefore, an e-commerce website is required not only as a solution to all these problems but also as a bridge between the business and their customers. The website was developed using the Scrum method. The application development process required three sprints to complete the seventeen product backlogs. The system testing proved the system is running according to its function and is accepted by the user.
How IT Support a Telecommunication Company’s Agility to Respond Changing Market Needs? : Literature Review Eristya Maya Safitri; Apol Pribadi; Agussalim; Seftin Fitri Ana Wati; Anita Wulansari; Anindo Saka Fitri
IJCONSIST JOURNALS Vol 3 No 2 (2022): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v3i2.71

Abstract

The phenomenon of very dynamic and competitive business competition requires every telecommunication company to be adaptive in all changes. Now information technology does not only play a role in supporting business processes. IT is expected to play a major role in supporting the company's agility to adapt to the business environment. Corporate agility can provide various advantages, namely the organization is able to detect changes early and explore various solution options as a decision-making process in creating innovation. This journal provides an effective conceptual model related to how information technology is able to create organizational agility in telecommunications companies. This conceptual model is expected to be a reference for the adoption of information technology in providing a fit impact for the company.
Digital Image Segmentation Resulting from X-Rays of Covid Patients using K-Means and Extraction Features Method Dhian Satria Yudha Kartika; Anita Wulansari; Hendra Maulana; Eristya Maya Safitri; Faisal Muttaqin
IJCONSIST JOURNALS Vol 3 No 1 (2021): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (970.953 KB) | DOI: 10.33005/ijconsist.v3i1.55

Abstract

The COVID-19 pandemic has significant impact on people's lives such as economic, social, psychological and health conditions. The health sector, which is spearheading the handling of the outbreak, has conducted a lot of research and trials related to COVID-19. Coughing is a common symptoms among humans affected by COVID-19 in earlier stage. The first step when a patient shows symptoms of COVID-19 was to conduct a chest x-ray imaging. The chest x-rayss can be used as a digital image dataset for analysing the spread of the virus that enters the lungs or respiratory tract. In this study, 864 x-rays were used as datasets. The images were still raw, taken directly from Covid-19 patients, so there were still a lot of noise. The process to remove unnecessary images would be carried out in the pre-processing stage. The images used as datasets were not mixed with the background which can reduce the value at the next stage. All datasets were made to have a uniform size and pixels to obtain a standard quality and size in order to support the next stage, namely segmentation. The segmentation stage of the x-ray datasets of Covid-19 patients was carried out using the k-means method and feature extraction. The Confusion Matrix method used as testing process. The accuracy value was 78.5%. The results of this testing process were 78.5% of precision value, 78% of recall and 79% for f-measure
GIS Land Suitability to Increasing Agricultural Production for the Agriculture Supply Chain: A Systematic Literature Review Seftin Fitri Ana Wati; Fitri, Anindo Saka Fitri; Dhian Satria Yuda Kartika; Anita Wulansari; Eristya Maya Safitri; Agussalim
IJCONSIST JOURNALS Vol 3 No 2 (2022): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v3i2.67

Abstract

Agricultural development is essential for the community's survival because it is a major source of food. Food production is a critical component of food security. Food security must be improved to meet market demand, and one of the fundamental goals of agricultural growth is to provide sufficient quantities of food. Increasing demand for natural resources, as well as environmental issues, are putting pressure on the current agricultural supply chain, which includes agricultural land suitability. Land evaluation is a process of analyzing land resources for specific uses using an established technique or method, and it is required to incorporate land appropriateness. According to the criteria, the findings of land suitability will give information and/or land use guidance. The land's appropriateness might be evaluated in its existing state (actual land suitability) or after changes have been made (potential land suitability). To address these issues, the agricultural sector must transition from traditional agriculture to smart agriculture. One of the technologies and system modeling that drives the current technique to smart agriculture with an integrated approach to evaluate the sustainability of agricultural land suitability is the geographic information system (GIS). The Systematic Literature Review (SLR) from prior investigations is presented in this publication. The articles are divided into two groups based on their approaches: agricultural land appropriateness for rice plants and the application of geographic information systems (GIS), comprising agricultural land suitability, site selection, and effect evaluation. The goal of this research is to determine what criteria are significant in increasing the quality of GIS applications in agriculture. This outcome is expected to assist stakeholders in formulating policies based on the performance of GIS data management in enhancing agricultural productivity and promoting agriculture supply chain management.