JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi

Pendekatan Cognitive Walkthrough dalam Analisis Usability Sistem Payroll HRD Pintar

2025-03-03T05:20:05+00:00

This study aims to evaluate the usability of the HRD Pintar application in managing human resources for Micro, Small, and Medium Enterprises (MSMEs) using the Cognitive Walkthrough approach. Usability testing methods were employed to assess the effectiveness, efficiency, and user comfort in accessing key features such as employee data management, attendance, leave, and payroll. The findings indicate that the HRD Pintar application provides adequate solutions for MSMEs in fulfilling digital human resource management needs. However, several weaknesses in the user interface and data input validation were identified, impacting workflow efficiency. This study offers recommendations for developers to improve the application’s quality by refining features and simplifying navigation.

Penerapan Metode Hot Fit Untuk Mengevaluasi Tingkat Keberhasilan Aplikasi E-Panjo

2025-01-21T12:36:37+00:00

The ePanjo application is an application that is implemented at the Darma Bakti Nursing Home. The ePanjo application has features of Dashboard, Master Data (Employees, Elderly, Donors, Food Menu), Care, Mutation, Visits, Donations (Goods, Money), Dues and Users used in the management of nursing homes. The ePanjo application is used by users such as nursing home leaders, nurses, administration and finance departments. Changes in user behavior from conventional to computerized methods are an obstacle for nursing home managers such as users who enter the wrong data, do not know the location of the features in the application, are not accustomed to using the application. This happens because many users are not familiar with computers even though the application is equipped with a manual book. To be able to see the success of implementing this application, the HOT FIT (Human, Organization and Technology) method is used. This method provides a comprehensive framework for assessing the compatibility and performance of computer applications in an organizational environment with assessment variables are human (user), organization and technology against the benefits of its use. All aspects and indicators for the implementation of the e-Panjo application using the HOT-Fit method get an average score of 4.00 and the achievement of 80.00% implementation so that it falls into the “very good” implementation level category

Analisis Analysis of IT Risk Management Using COBIT 5 Domain APO12 at XYZ Automotive Company in Palembang

2025-03-03T05:27:23+00:00

This research discusses Information Technology (IT) risk management at XYZ Company in Palembang, which operates in the automotive sector, using the COBIT 5 framework, specifically in the APO12 (Risk Management) domain. IT audits are conducted periodically to identify, assess, and manage IT risks that could potentially affect the company's business continuity. The research method applied includes interviews with the ICT (Information and Communication Technology) Manager, as well as several stages such as data collection, risk analysis, maintenance of risk profiles, risk communication, portfolio identification, and risk response. The findings reveal that the company faces various IT risks, including threats from environmental factors, human errors, and disruptions to systems and infrastructure. Based on the capability assessment, the company’s current condition (As-is) is at level 3 (Established Process), indicating that the risk management process is functioning well, though there is still room for improvement. The company aims to improve to level 5 (Optimizing Process), where risk management can be applied more comprehensively and sustainably. This research is expected to provide recommendations and controls to strengthen IT risk management, including improving IT Governance controls. By implementing more effective risk management, the company can minimize potential risks to IT continuity, enhance operational stability, and ensure efficiency in supporting its business continuity, thereby achieving excellence in the company.

Identifikasi dan Pengelolaan Risiko Aset Digital di Bengkel Mobil XYZ Menggunakan Framework ISO 31000:2018

2025-05-20T01:14:09+00:00

This research aims to identify and manage digital asset risks at XYZ Car Workshop using the ISO 31000:2018 risk management framework. In facing digital transformation and operational expansion, XYZ Car Workshop encounters various risks that may disrupt business continuity, such as floods, server downtime, data theft, and unauthorized access. This study uses a qualitative method through interviews and direct observations with the management. The findings reveal 15 major risks categorized into three types: natural, human, and system/infrastructure risks. Based on the analysis, 2 risks are classified as high-level, 11 as medium-level, and 2 as low-level. Each identified risk is addressed with appropriate treatment strategies such as mitigation, avoidance, and risk sharing. The implementation of ISO 31000:2018 has proven to assist the workshop in managing risks systematically and improving operational resilience and efficiency. This study recommends the establishment of standard operating procedures (SOP), regular training for human resources, and the adoption of supporting technologies to ensure sustainable risk prevention and control.

Analisis Kepuasan Pelanggan MyPertamina dengan Pendekatan User Experience & DeLone McLean

2025-05-26T05:55:32+00:00

The MyPertamina application is a digital innovation from PT Pertamina that aims to improve customer experience by providing non-cash payment services, gas station location navigation, and loyalty programs. Using the DeLone & McLean model, this study aims to analyze the influence of User Experience on user satisfaction of the MyPertamina application among academics at Universitas Indo Global Mandiri. This model includes dimensions of system quality, information quality, service quality, user satisfaction, and net benefits. The purpose of this study was to analyze the influence of User Experience on user satisfaction of the MyPertamina application among academics at Universitas Indo Global Mandiri. The results show that user experience, systems, information, and services contribute 95.2% to user satisfaction. User experience is the most dominant factor. These findings provide theoretical contributions and practical recommendations for the development of the MyPertamina application.

Penerapan Model HOT-FIT dalam Menilai Efektivitas Website Penerimaan Mahasiswa Baru di Universitas Indo Global Mandiri

2025-05-26T05:47:43+00:00

The New Student Admission (PMB) is an annual agenda conducted by both public and private universities. The PMB website of Universitas Indo Global Mandiri (pmb.uigm.ac.id) serves as the primary platform for providing enrollment information to prospective students. Evaluating its effectiveness is crucial to ensure optimal service and to understand the correlation between Human, Organization, Technology, and Net Benefits aspects, using the Human Organization Technology (HOT) Fit Model. Data collection was carried out through a questionnaire distributed based on the HOT-Fit methodology to obtain valid and representative results.The analysis reveals that the effectiveness level of the PMB website is generally good, yet continuous improvement is necessary for enhanced performance. Several factors significantly influence the website's effectiveness, including service quality (T-statistic = 2.59), user satisfaction (T-statistic = 4.65), system use (T-statistic = 6.88), information quality (T-statistic = 3.64), organizational structure (T-statistic = 2.99), and system quality (T-statistic = 6.15). These values indicate that each variable contributes positively and significantly to the overall effectiveness.Therefore, recommendations for improvement should prioritize enhancing service quality, information delivery, and system usability, alongside strengthening organizational support and user satisfaction to maximize the website's benefits in supporting new student admissions.

Analisis Sentimen terhadap Fenomena Artis Berjualan di Tiktok Shop pada Media Sosial X Menggunakan Model Naïve Bayes

2025-06-14T07:36:14+00:00

TikTok is a popular application used for entertainment and income generation. One of its key features, TikTok Shop, offers opportunities for entrepreneurs to promote their products. However, issues arise as the public must compete with celebrities who also sell on the platform. To understand public responses, a sentiment analysis was conducted on tweets from the social media platform X (Twitter) discussing celebrities selling on TikTok Shop. From 1,189 collected tweets, text pre-processing was performed, resulting in 770 clean tweets. The data was then labeled, split, and analyzed using the Naïve Bayes Classifier method in Google Colab with Python programming. Manual labeling by language experts showed higher accuracy compared to automatic labeling using TextBlob. The results showed 494 neutral tweets, 253 positive tweets, and 23 negative tweets, with the highest accuracy of 88.31% achieved by the Multinomial Naïve Bayes method. In conclusion, the majority of the public holds a neutral stance toward the phenomenon of celebrities selling on TikTok Shop