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p-Index From 2021 - 2026
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This Author published in this journals
All Journal bit-Tech International Journal of Data Science, Engineering, and Analytics (IJDASEA) International Journal Of Computer, Network Security and Information System (IJCONSIST)
Anita Wulansari
UPN "Veteran" Jawa Timur
Computer Science & IT Decision Sciences, Operations Research & Management

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Implementation of System Dynamics to Increase Successful Utilization of E-Commerce with Marketing and Innovation Capability in MSMEs Anindo Saka Fitri; Seftin Fitri Ana Wati; Eristya Maya Safitri; Anita Wulansari; Dhian Satria Yudha Kartika
Internasional Journal of Data Science, Engineering, and Anaylitics Vol. 2 No. 1 (2022): International Journal of Data Science, Engineering, and Analytics Vol 2, No 1,
Publisher : International Journal of Data Science, Engineering, and Analytics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijdasea.v2i1.18

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play an important role in the economic development of many cities around the world. The role of MSMEs can encourage equitable economic development which is one of the main pillars of the ASEAN Economic Community (AEC). But unfortunately, there are still many people who do not know how to market a new product and have a large market potential by using internet technology. The ongoing COVID-19 pandemic is causing changes in individual habits which also has the opportunity to permanently influence market developments in the coming years. Many people choose to shop online using e-commerce. The role of e-commerce is very influential in improving the performance of MSMEs. There are several variables in the successful use of e-commerce, including internal and external inhibiting and supporting variables. This study applies the system dynamics method to link the variables of success in the use of e-commerce with variables related to the performance of MSMEs. The results of this study are the success of the use of e-commerce is interrelated with marketing and innovation capability which has a positive effect on the performance of MSMEs. This research is expected to increase the success of using e-commerce in MSMEs, especially in Indonesia.
Evaluation of IT Resource Management Capability Using COBIT 5 on Subdomain EDM04 and APO07 Carissa Renatasari; Anita Wulansari; Eristya Maya Safitri
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2595

Abstract

The Population and Civil Registration Office of Sidoarjo Regency is a government agency that implements performance-based management, focusing its activities on service excellence and utilizing information technology in its services such as the Population Administration Information System (SIAK) and "Plavon". However, there are problems that hinder progress include low public awareness in updating population data, insufficient staff based on Permenpan standards, and the focus on technology-based service innovations. To address these, employees are key in community education and supporting priority programs. This research aims to evaluate the level of IT resource management capability at Disdukcapil Sidoarjo using the COBIT 5 framework, focusing on EDM04 (Ensure Resource Optimisation) and APO07 (Manage Human Resources). The methods used based on the COBIT 5 Assessment Process. Both EDM04 and APO07 processes achieved Level 1 Performed Process with "Largely Achieved" status. EDM04 scored 72% overall (69% Base Practices, 75% Work Products), while APO07 scored 64.4% overall (53.7% Base Practices, 75% Work Products). The final results of both scores fall into the "Largely Achieved" category. There is a capability gap between the current condition (as is) and target expectations (to be) of four levels in the EDM04 process and one level in the APO07 process, so improvement recommendations are provided to achieve the expected level. This research provides an overview of current conditions and improvement recommendations to enhance the effectiveness of IT resource management at Disdukcapil Sidoarjo.
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
Co-Authors Anindo Saka Fitri Carissa Renatasari Dhian Satria Yudha Kartika Eristya Maya Safitri Faisal Muttaqin Maulana, Hendra Seftin Fitri Ana Wati