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Application of Heuristic Evaluation Method to Evaluate User Experience and User Interface of Personnel Management Information Systems to Improve Employee Performance Fatkhuri; Dharmawan, Donny; Desty Febrian, Wenny; Karyadi, Sugeng; Sani, Indra
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.466

Abstract

This research aims to determine the level of user satisfaction with using SIMPEG application and evaluate the user interface design to improve the user experience. The research was conducted using qualitative methods. Researchers decided to involve as many as 100 participants in this research. To collect data and information based on system requirements, researchers collect data using observation, interviews, questionnaires, and literature studies. In designing the evaluation at application, researchers used a user-centered design approach and the heuristic evaluation method. Based on the research results, it was found that in the UCD approach, it often experiences bugs and errors, whereas in application there is no mobile application available, which aims to make it easier for employees to access the application anywhere and anytime. It is currently only available on a web basis. The UCD approach shows that the application has uses and functions that meet employee expectations with an average percentage of 70%, falling into the attractive category. The end result of the UCD approach emphasizes the importance of clearly understanding users and providing better user experiences. Meanwhile, the HE approaches helps identify problems with the application and focuses attention on usability issues in the HE aspects. In an effort to improve the quality of the user interface (UI) and user experience (UX) in application, the evaluation that has been carried out shows that improvements need to be focused on the appearance and use of the application.
The Measurement Analysis of Online Service Quality Toward State Banking Customers Using Structural Equation Modeling Sudirjo, Frans; Candra Dewi, Luh Komang; Desty Febrian, Wenny; Sani, Indra; Dharmawan, Donny
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.471

Abstract

The purpose of this study is to evaluate the level of customer care offered online so that users can keep using the e-banking system as they see fit. In order to gather data for e-banking system study, involved parties' questionnaire responses, interviews, and observations are used. Furthermore, it is necessary to perform a literature evaluation pertaining to this topic. Researchers both directly and indirectly distributed questionnaires as part of the data collection process. In the first stage, non-probability sampling is performed, and in the subsequent stage, purposive sampling is used based on predetermined criteria. 100 people made up the sample in this study. The Structural Equation Modeling (SEM) method was the data analysis technique used in this study. The study's findings demonstrated that users of the e-banking system were more likely to trust the caliber of the services offered. Customers can feel satisfied and assured when using the e-banking system because it provides what they need. Because the e-banking system's quality service has a relatively high value in relation to the probability value of its variable values, clients can feel confidence when transacting with it. The e-banking system is able to make clients feel content, hence it has a major influence on customer loyalty, even though the value is fairly tiny compared to the likelihood values for other variables.
The Influence of Sales Strategy, Business Concept and Success Indicators on Entrepreneurship with Marketing Management as a Mediating Variable Nunung Ayu Sofiati; Suhendra, Agus; Sani, Indra; Zaini, Mohamad
Siber International Journal of Digital Business (SIJDB) Vol. 1 No. 4 (2024): (SIJDB) Siber International Journal of Digital Business (April - June 2024)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i1.46

Abstract

The article on the influence of sales strategy, business concept and success indicators on entrepreneurship with marketing management as a mediating variable is a scientific literature article in the scope of marketing management science. The purpose of this study is to build a hypothesis regarding the influence between variables that can later be used for further research in the scope of marketing management. The research method used is descriptive qualitative. The data collection technique uses literature studies. Data were obtained from previous research that is relevant to this study and sourced from academic online media such as Publish or Perish, Google Scholar, digital reference books and Sinta journals. The results of this article are: 1) Sales Strategy influences Marketing Management; 2) Business Concept influences Marketing Management; 3) Success Indicators influence Marketing Management; 4) Sales Strategy influences Entrepreneurship; 5) Business Concept influences Entrepreneurship; 6) Success Indicators influence Entrepreneurship; and 7) Marketing Management influences Entrepreneurship.
Funding for MSMEs Selling Seaweed on Export Destination Coast Murdiono, Jatmiko; Winarsih, Sri; Louise Panggabean, Helena; Sani, Indra
Siber Journal of Transportation and Logistics Vol. 1 No. 2 (2023): (SJTL) Siber Journal of Transportation and Logistics (July 2023)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v1i2.73

Abstract

The aim of this study is to provide a better understanding of the challenges and opportunities in supporting MSMEs in the seaweed sector, as well as formulate concrete measures to improve their access to funding necessary for the growth and sustainability of their businesses. This research utilizes a qualitative approach. Qualitative research methodology is a set of techniques and procedures used to collect, analyze, and interpret data in qualitative research studies. This approach aims to understand social phenomena in depth, focusing on collecting rich and detailed data through non-numerical methods such as interviews, observations, and focus groups. Qualitative research methodology is a flexible and adaptable approach, allowing researchers to explore in depth complex social phenomena. Various methods were used to collect, analyze, and interpret data, which proved invaluable in understanding the experiences, views, and meanings possessed by participants in research studies. In the context of this study, data collection was carried out through a literature survey. Seaweed has been widely used by humans and various industries, providing an impact on the community that plants and preserves. As an economic source for the community, it also helps preserve the sea with seaweed as an economic source. Identify financing challenges, strategies to improve access to financing, collaboration among stakeholders, and examples of successful case studies. With a good understanding of these issues, solutions can be formulated to support the growth and sustainability of MMeS in the seaweed industry. In various countries around the world, especially in ASEAN, MMeS has been running by dabbling in seaweed conservation with various dynamics and helping ecosystems in the sea as well as a source of life for the community. Recommendations on the role of local or local governments to assist funding, exports, and the need for assistance, besides that the contribution of the results of this research is only a small part in qualitative form in participation in collaboration.
International Trade: Economic Growth Supports Export and Import Activities Candra Susanto, Primadi; Subagio, Mochammad; Atanka Barus, Gratia; Desty Febrian, Wenny; Sani, Indra
Greenation International Journal of Economics and Accounting Vol. 2 No. 1 (2024): (GIJEA) Greenation International Journal of Economics and Accounting (March 202
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijea.v2i1.163

Abstract

The article International Trade: Supporting Economic Growth in Export and Import Activities is a scientific literature review article within the scope of strategic management science. This article aims to create a hypothesis regarding the relationship between factors, which can then be used for further research in the field of strategic management. Descriptive qualitative research methodology was used in this research. The data used in this research comes from previous research which is still relevant to the current investigation. Data was collected from leading academic online platforms, including Publish or Perish, Google Scholar, digital reference books, and Sprott journals. The findings of this research are as follows: 1) Export activities in supporting economic growth play a role in international trade, and 2) Import activities to support economic growth play a role in international trade.
The Role of Artificial Intelligence (AI) and its Benefits in Digital Marketing Strategy Apriani, Ari; Sani, Indra; Kurniawati, Lia; Prayoga, Rahmat; Panggabean, Helena Louise
East Asian Journal of Multidisciplinary Research Vol. 3 No. 1 (2024): January 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/eajmr.v3i1.8075

Abstract

This study explores the role of artificial intelligence (AI) in digital marketing strategy and its benefits. AI is a technology that enables computers or machines to process information and produce outcomes similar to human thought processes. The implementation of AI in marketing can enhance personalization, predictive analytics, chatbots and customer service, content optimization, ad targeting and optimization, and marketing automation. Understanding customer behavior, strategic decision making, tactical marketing, ethical and responsible AI, integration with other technologies, and collaboration with AI providers and start-ups are all best practices for incorporating AI in marketing initiatives. The search results emphasize the anticipated importance of AI solutions in marketing decision-making across the five stages of the marketing process, which include analysis, strategy, tactics, customer interactions, and value proposition creation. With enhanced customization, integration with other technologies, and a stronger emphasis on ethical and responsible AI, the future of AI in marketing analytics is bright. To effectively exploit the power of AI, businesses should invest in AI knowledge, emphasize ethical and responsible AI, focus on customer privacy and data protection, embrace new technologies, and collaborate with AI suppliers and start-ups.