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ANALYSIS OF CUSTOMER SATISFACTION WITH LIVIN BY MANDIRI VIRTUAL CREDIT CARD FEATURES
Get PDFCredit cards are a payment method that replaces cash, enabling transactions at various locations that accept them. Credit cards can be physical or virtual, with virtual cards facilitating transactions without the need for a physical card. Bank Mandiri offers virtual credit cards to support digital transactions, providing benefits such as discounts and cashback. Although Bank Mandiri experienced a decline in credit card usage during the pandemic, there has been a post-pandemic upward trend influenced by the features of the virtual credit card in Livin' by Mandiri. This is attributed to customer satisfaction, which has become a key factor in this increase. However, as of now, there has been no research conducted on customer satisfaction regarding the virtual credit card feature in Livin' by Mandiri. Therefore, this study aims to analyze customer satisfaction levels with the virtual credit card feature using the PIECES Method (Performance, Information, Economy, Control, Efficiency, and Service). To support the theoretical framework of this issue, relevant journal reviews and data collection through questionnaires were conducted, with the population size based on Bank Mandiri's annual reports for 2022–2023. The analysis of the questionnaire data, employing the PIECES method and the Likert Scale, revealed the highest scores in the categories of Performance and Service, both scoring 4.20. The Efficiency category scored 4.19, while the Information and Control categories each scored 4.15. The lowest score was observed in the Economy category, with a score of 4.13. Therefore, it can be concluded that customers are satisfied
SAP ASSESSMENT USING COBIT 2019 AND ITIL FOR SYSTEM IMPROVEMENT AND STRATEGIC DECISION SUPPORT
Get PDFThe increasing reliance on Information Technology (IT) for enhancing business performance has led organizations to adopt structured governance and service management frameworks. This study evaluates the IT governance implementation at PT. Natural Indococonut Organik—an organic coconut enterprise that relies on SAP as its core enterprise system. Using the COBIT 2019 and ITIL V.3 frameworks, the study assesses IT process capability, service management maturity, and alignment with best practices. A qualitative descriptive approach was applied through three structured interviews with IT personnel. The first interview used COBIT 2019 Design Factors to identify priority processes: APO12 (Managed Risk), DSS01 (Managed Operations), and MEA03 (Managed Compliance). The second assessed these processes’ capability levels, revealing gaps below the target level (Level 4): APO12 at 33%, DSS01 at 75%, and MEA03 at 12.5%. The third interview applied the ITIL Self-Assessment to evaluate the service desk, with results indicating partial achievement and an overall maturity near Level 2. Key deficiencies were found in risk management, compliance oversight, operational consistency, and user feedback mechanisms—areas critical to supporting SAP effectively. Findings are categorized into design, evaluation, and improvement domains, demonstrating how governance analysis contributes to enhancing enterprise information systems. Strengthening SAP-related risk controls, service procedures, and user engagement processes is essential to elevate governance maturity and system performanc
ANALISIS FAKTOR – FAKTOR PENERIMAAN DAN PENGGUNAAN APLIKASI SEABANK DAN BANK JAGO DENGAN MODEL UTAUT2
Get PDFIn recent years, banking in Indonesia has undergone significant transformation through the use of technology, as reflected in the increase in digital transactions, which reached Rp15,881.53 trillion, a year-on-year growth of 16.15%. This study employs the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model to analyze the factors influencing the acceptance and use of Seabank and Bank Jago digital banking applications. This study is a quantitative research using a survey method involving 632 student respondents in North Sumatra up to Lhokseumawe, analyzed using descriptive statistics and hypothesis testing based on Structural Equation Modeling (SEM). The results of the descriptive statistical analysis showed that the average user response to the Seabank app was 87.02% and Bank Jago was 84.82%, both falling into the “strongly agree” category, indicating a positive response. Hypothesis analysis revealed that social influence, facilitating conditions, price value, habits, behavioral intention, and usage behavior significantly influence the acceptance of the Seabank app. For Bank Jago, the significant influencing factors are social influence, price value, habits, behavioral intention, and usage behavior. The findings of this study confirm the applicability of UTAUT2 in the context of digital banking in Indonesia and provide practical insights for app developers and policymakers to encourage the adoption of digital banking services
PENGEMBANGAN SISTEM REKRUTMEN LOWONGAN KERJA BERBASIS WEB UNTUK OPTIMALISASI BURSA KERJA KHUSUS (BKK)
No full textBursa Kerja Khusus (BKK) at Vocational High Schools (SMK) plays a crucial role in connecting graduates with the workforce. However, the current manual process of disseminating job vacancies and handling applications leads to suboptimal information distribution and inefficient data management. This study aims to design and develop a web-based job recruitment system to improve the efficiency of information dissemination and the job application process for students and alumni of SMK Negeri 1 Ngawen. The system is developed using the Waterfall model, which includes the phases of requirements analysis, system design, implementation, testing, and maintenance. The results show that the developed system successfully delivers real-time job vacancy information, accelerates the application process, and improves the accuracy of matching candidates with available jobs. Testing conducted using the Black-Box Testing method confirms that the system functions as expected, ensuring proper input validation, secure access control, and high data integrity. It is expected that this system will enhance the employability of SMK graduates and make the recruitment process more efficient and effective.Bursa Kerja Khusus (BKK) di Sekolah Menengah Kejuruan (SMK) memiliki peran penting dalam menjembatani lulusan dengan dunia kerja. Namun, proses penyampaian informasi lowongan kerja dan pendaftaran yang masih dilakukan secara manual menyebabkan penyebaran informasi yang tidak optimal serta pengelolaan data yang tidak efisien. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem rekrutmen lowongan kerja berbasis web guna meningkatkan efisiensi penyampaian informasi dan proses pendaftaran kerja bagi siswa dan alumni SMK Negeri 1 Ngawen. Sistem ini dirancang menggunakan pendekatan Waterfall, yang mencakup tahapan analisis kebutuhan, desain sistem, implementasi, pengujian, dan pemeliharaan. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu menyajikan informasi lowongan kerja secara real-time, mempercepat proses pendaftaran, serta meningkatkan akurasi dalam pencocokan kandidat dengan kriteria perusahaan. Pengujian menggunakan metode Black-Box Testing membuktikan bahwa sistem berjalan sesuai dengan spesifikasi yang diharapkan, dengan validasi input yang baik, keamanan akses yang terjaga, serta integritas data yang baik. Dengan adanya sistem ini, diharapkan daya serap lulusan SMK di dunia industri meningkat, serta proses rekrutmen menjadi lebih cepat dan efektif.
 
THE IMPACT OF WORD EMBEDDING ON CYBERBULLYING DETECTION USING HYBIRD DEEP LEARNING CNN-BILSTM
Get PDFCyberbullying can be perpetrated by anyone, whether children or adults, with the primary aim of belittling or attacking specific individuals. Social media platforms like X (formerly Twitter) often serve as the primary medium for cyberbullying, where interactions frequently escalate into retaliatory attacks, intimidation, and insults. In detecting these actions, short tweets are often difficult to understand without context, making specialized approaches like word embedding important. This research uses GloVe feature expansion, utilizing a corpus generated from the IndoNews dataset containing 127,580 entries to enhance vocabulary understanding in tweets that include the use of Indonesian language in both formal and informal forms. This data was then classified using the Hybrid Deep Learning method, which combines Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) with used 30,084 tweets taken from platform X as the dataset. The analysis results show that the application of expansion features using GloVe can improve the performance of the BiLSTM-CNN hybrid model, with the highest accuracy reaching 83.88%, an increase of +3.65% compared to the hybrid model without GloVe. This research successfully detected cyberbullying on platform X, making a significant contribution to efforts to create a safer and more positive social media environment for users
IMPLEMENTASI BAHASA PEMPROGRAMAN PHP DAN MYSQL DALAM PERANCANGAN APLIKASI TICKET CENTER RESERVATION PO. NPM
Get PDFThe rapid development of information technology today significantly impacts various sectors, including business, to compete more effectively. One of the important applications of technology is the development of a web-based information system for managing bus departure schedules and ticket reservations. This research aims to design and implement a web-based ticket reservation system for PO. NPM in Bukittinggi City, in order to improve efficiency and address data redundancy issues that occurred in the previous manual system. The system design method used is the Waterfall method. This system is built using PHP as the server-side programming language and MySQL as the database to store ticket reservation data and bus departure schedules. The result of this research is a web-based ticket reservation system that allows passengers to book tickets online without having to visit the ticket counter. The implementation of the web-based information system at PO. NPM can improve passenger comfort, operational efficiency, and better data management. This system also contributes to improving service quality and reducing the potential for errors in data processing
GENERATION Z'S AND ANDROID OS: HOW USER EXPERIENCE, SECURITY, AND SYSTEM PERFORMANCE SHAPE SATISFACTION
Get PDFThis paper investigates Generation Z's opinion of the Android OS through an analysis of system performance, security, and user experience and their influence on general satisfaction. With Technology Adaptation (Z) as a mediator, the study focuses on three main factors: User Experience (X1), Security and Privacy (X2), and System Performance and Stability (X3), specifically among students who use Android devices. Data were collected through a structured questionnaire, and the analysis was conducted using the Partial Least Squares (PLS) method to evaluate the relationships between the variables. The findings reveal that, in addition to frequent updates, Generation Z's satisfaction is significantly influenced by the accessibility, performance, and security features of Android. The results highlight the importance of a positive user experience and robust security measures in enhancing user satisfaction. Continuous development in these areas is crucial for improving user engagement and contentment with Android devices
AGGLOMERATIVE HIERARCHICAL CLUSTERING FOR REGIONAL GROUPING IN CENTRAL JAVA BASED ON WELFARE INDICES
Get PDFCentral Java Province comprises 35 regencies/cities with diverse welfare characteristics. These variations present challenges for the government in formulating targeted development policies. This study aims to group regions in Central Java based on welfare indices to support more effective policy planning. The Agglomerative Hierarchical Clustering method with the Average Linkage approach is applied to cluster the regions based on three attributes: Human Development Index, Uninhabitable Houses, and Economic Growth Rate. Data were obtained from the Central Java Provincial Social Service and the official website of the Central Statistics Agency (BPS) and processed using the proposed method. Experimental results indicate three clusters with proportions: 32 regions in cluster 1 (91.4%), 2 regions in cluster 2 (5.7%), and 1 region in cluster 3 (2.9%). Regions with higher welfare dominate the first cluster, while the second and third clusters include regions facing more significant welfare challenges. Clustering results were evaluated using the Silhouette Score (0.535) and Davies-Bouldin Index Score (0.610), demonstrating that the applied method effectively grouped regions based on the specified attributes. The findings of this study are anticipated to lay the groundwork for more directed and effective development policies
SELECTION OF MUARA ABU BEACH SAFETY SYSTEM IN KUPANG CITY USING ANALYTICAL HIERARCHY PROCESS METHOD
Get PDFKupang City has a large coastal area, most of them live so close to the coastline that there is no longer a coastal buffer zone. One of the beaches close to the settlement is Muara Abu beach, which is located in Oesapa Barat Village, Kelapa Lima Sub-district, Kupang City. This research uses the Analytical Hierarchy Process (AHP) method with the following objectives are Establishing a coastal safety system at Muara Abu beach location based on the decision results of the AHP method used optimally and Analyze the coastal safety system using the AHP method. The criteria used in the selection of coastal safety systems are Waves (history, vulnerability, probability, and threat), Erosion (Shoreline change, scouring at the foot of the building, length of eroded beach), Abrasion (Width of abraded beach, length of abraded beach), Sedimentation (Length of closed estuary, percentage of estuary opening, and influence of sedimentation) and Environment (Sea water quality, coral reefs, mangroves). And the alternative system chosen is structural coastal protection, namely Seawall, Groin and Jetty. The results of calculations with the AHP method show the priority scale for securing Muara Abu Beach can be sorted as follows are Jetty is 46.53%, Seawall is 33.37% and Groin is 20.10% The selection of coastal safety systems using the AHP method provides objective results in determining the best alternative. Jetty is the main solution recommended to be implemented in Muara Abu Beach. Further research is recommended to examine the effectiveness of Jetty implementation in the long term
DEVELOPMENT OF GRAPH GENERATION TOOLS FOR PYTHON FUNCTION CODE ANALYSIS
Get PDFThe increasing complexity of programs in software development requires understanding and analysis of code structure, especially in Python, which dominates machine learning and data science applications. Manual static analysis is often time-consuming and prone to errors. Meanwhile, static analysis tools for Python, like PyCG and Code2graph, are still limited to generating call graphs without including dependency and control flow analysis. This research addresses these shortcomings by proposing the development of a web-based tool that integrates the generation of function call graphs, function dependency graphs, and control flow graphs using Abstract Syntax Tree (AST), Graphviz, and Streamlit. With an iterative SDLC methodology, this tool was developed gradually to visualize Python function code as a heterogeneous graph. Evaluation of 11 Python function codes showed a success rate of 95.45% in analyzing and visualizing Python function codes with various levels of complexity. The limitations of Graphviz present an opportunity for future research to focus on improving scalability and Python code analysis