Ultima InfoSys : Jurnal Ilmu Sistem Informasi

The Development of Web-based Sales and Inventory System for a Stationary Store

Chyntia Cahya Utami, Ririn Ikana Desanti, Fransiscus Ati Halim — Thu, 21 Dec 2023 09:55:10 +0000

The study-case method was applied in this research at a stationery store. The problems derive from an observation of a stationary store called Andesta, a micro, small, and medium-sized enterprise (MSMEs) run by individuals who engage in stationery and document procurement. The problem is that transactions are not properly recorded, preventing the store from knowing the profits and losses incurred during a certain period. As a result, the availability of stocks coming in and out is unclear. This issue will be resolved by developing an integrated sales and inventory system. The prototype method is implemented in the system development lifecycle. The system will be constructed as soon as the design is completed and accepted by the business owner. The CodeIgniter framework and MySQL databases were used to build the system. The construction of the sales and inventory system is supposed to support stores in running their business processes more efficiently.

Information Technology Governance Capability at PT XYZ using COBIT 2019

Jesslyn Kurniawan, Wella Wella — Thu, 21 Dec 2023 09:57:14 +0000

PT XYZ is a management consulting company in Jakarta. This company has many products related to information technology. Therefore, measuring the capability of information technology governance at PT XYZ was carried out. The measurement of information technology governance capability is based on problems that are often faced by companies in terms of project management followed by problems related to the company's IT budget and human resources skilled in information technology. Capability measurement is carried out using COBIT 2019 with a qualitative approach. Using data collection methods with interviews and literature study. The results of the data collection showed that there were 3 COBIT 2019 domain processes that matched the company's problems, namely APO06 - Managed Budget and Costs, APO07 - Managed Human Resources, and BAI11 - Managed Projects. The results of the capability measurement carried out concluded that the three selected domain processes namely APO06, APO07, and BAI11 were achieved at level 2 or can be categorized as Fully Achieved so that companies get several recommendations for improvement to improve the quality of their information technology governance and reach a higher level.

Sentiment Analysis of User Satisfaction Towards Sales Promotion of Gojek Application Service Using Support Vector Machine (SVM)

Thu, 21 Dec 2023 10:01:08 +0000

Customer satisfaction is a crucial factor for the sustainability of a company, including tech companies like Gojek. This condition exists because customer satisfaction affects the continuation of customers purchasing or reusing the company's services. Promotions or offers are commonly applied strategies by companies to enhance attractiveness among competitors and improve customer satisfaction. Therefore, this research aims to understand customer sentiments towards promotions or offers provided by the Gojek company to develop better promotional strategies by increasing customer satisfaction. The data source for this research comes from user tweets on the social media platform Twitter which has now changed to "X". The method used to determine the sentiment of this data is the support vector machine.

From Tradition to Innovation: Mind Map Generation in Higher Education

Thu, 21 Dec 2023 10:06:16 +0000

In higher education, effectively delivering complex topics to students with diverse learning preferences remains a pressing challenge. This comprehensive survey delves into the utilization of mind maps as an innovative instructional tool to navigate this challenge. From 2003 to 2022, we review the implementation of mind maps in higher education, highlighting aspects such as the year of the paper, the techniques employed for mind mapping, target audiences, objectives, and outcomes. Mind maps, centralized and radial visual techniques, have been recognized for their capacity to enhance memory retention, comprehension, and active student engagement. We identify two primary scenarios: Learner-Driven and Lecturer-Driven Development. While students employ mind maps for revision and understanding, lecturers utilize them as visual aids to structure content and elucidate intricate relationships. The paper underscores the need for inclusivity, accommodating varied learning styles, and integrating mind maps into a broader educational toolkit. Through this study, we uncover research gaps and propose future avenues to further amplify the potential of mind maps in academia.

Image Splicing Forgery Detection using Error Level Analysis and CNN

Irmawati Irmawati — Thu, 21 Dec 2023 10:03:19 +0000

The issue of image forgery through splicing has become increasingly relevant in the current digital era. Splicing involves the manipulation of images by combining parts of two or more different images to create a deceptive composite image. This technique can be employed for various purposes, including the dissemination of false information, damaging someone's reputation, or even creating confusion in specific contexts. Several techniques used to detect splicing involve statistical analysis, color analysis, and texture analysis. Additionally, artificial intelligence developments, such as deep learning, have been applied to enhance detection capabilities. In this study, we employed a Convolutional Neural Network (CNN) model to identify image deviations caused by splicing. Optimization was performed on the convolutional layers of the model to improve CNN performance. The integration of Error Level Analysis (ELA) was also implemented to aid in identifying splicing forgeries, where portions of one image are combined with parts of another. Areas that have undergone splicing may exhibit noticeable differences in error levels. The dataset utilized for this research was sourced from DVMM and CUISDE. The validation accuracy results for our CNN model before incorporating ELA were 61% for DVMM and 74% for CUISDE. After adding ELA, the CNN model demonstrated improved detection accuracy, achieving validation rates of 72% for DVMM and 71% for CUISDE.

Developing a Web-Based Information System to Enhance Operations in Hajj and Umrah Travel (Case Study: PT. Mutiara Cinta Imani)

Rosalina Rosalina, Muhammad Syahir — Thu, 21 Dec 2023 13:55:21 +0000

This research addresses the substantial challenges arising from the prolonged reliance on manual inputting methods, notably paper and Excel, within the operational framework of PT. Mutiara Cinta Imani in the context of Hajj and Umrah travel. The inherent inefficiencies, potential errors, and constraints associated with traditional data management practices have prompted a critical examination of the existing system. Recognizing the imperative for a more contemporary approach, this study focuses on the development and implementation of a Web-Based Information System. The primary goal is to enhance operational efficiency, mitigate errors, and overcome the limitations inherent in manual data management. By conducting a case study on PT. Mutiara Cinta Imani, this research seeks to provide a comprehensive understanding of the challenges faced and propose a technologically advanced solution to optimize data input processes. The envisioned Web-Based Information System aims to revolutionize operations, offering real-time access, scalability, and increased reliability, thereby paving the way for improved practices in the Hajj and Umrah travel domain