Journal Title: Jurnal Riset Sistem Informasi Initials: JISSI Frequency: Januari, April, juli dan oktober Print ISSN: 3047-9029 Online ISSN: 3047-9010 Editor in Chief: Laksamana Rajendra Haidar Azani Fajri, M.T., M.Kom DOI: 10.69714 Publisher: CV. Denasya Smart publihser Jurnal Riset Sistem Informasi (JISSI) dengan e-ISSN : 3047-9010, p-ISSN : 3047-9029 diterbitkan oleh Denasya Smart Publisher. Jurnal Riset Sistem Informasi(JISSI) memuat naskah hasil-hasil penelitian di bidang Sistem Informasi. Jurnal Riset Sistem Informasi (JISSI) berkomitmen untuk memuat artikel berbahasa Indonesia yang berkualitas dan dapat menjadi rujukan utama para peneliti dalam bidang ilmu Rekayasa Sistem, Teknologi Informasi, Sistem Informasi, Ilmu Komputer, Manajemen,Manajemen Informatika dan Bisnis. Jurnal ini terbit 1 tahun 4 kali (Januari, April, juli dan oktober).
PERAN SISTEM INFORMASI MANAJEMEN DALAM PENERAPAN DATA MASKING UNTUK MENINGKATKAN KEAMANAN DATA RESI PADA E – COMMERCE
The rapid growth of e-commerce has increased the volume of customer data, including sensitive shipping receipt data. However, data protection in this sector remains suboptimal, making the risk of personal data leakage a serious threat. This study aims to analyze the role of Management Information Systems (MIS) in supporting the implementation of data masking to improve the security of receipt data on e-commerce platforms. The method used is a literature study with a qualitative approach, reviewing various scientific sources published between 2021 and 2026. The results show that MIS plays an important role in three main aspects: RBAC-based access restrictions, AI/NLP-based sensitive data sorting, and dynamic data masking on the interface without altering the original data. In addition, MIS also maintains smooth post-masking operations by maintaining the data format. The implementation of MIS-based data masking has proven effective in improving receipt data security, as demonstrated in previous research. Thus, MIS and data masking are strategic, complementary solutions in protecting customer privacy in the digital era.
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ANALISIS PERKEMBANGAN ARTIFICIAL INTELLIGENCE DALAM SISTEM KESELAMATAN AKTIF KENDARAAN OTOMOTIF DI ERA MODERN
The rapid development of Artificial Intelligence (AI) has significantly transformed the automotive industry, particularly in active vehicle safety systems. AI enables vehicles to perceive their environment, make decisions in real time, predict risks, and adapt safety features according to driver characteristics. This study aims to analyze the development of AI in active automotive safety systems, identify its primary roles, evaluate its impact on accident prevention, and examine the implementation challenges from technical, regulatory, and ethical perspectives. This research employs a qualitative descriptive approach using a literature review method. Data were collected from scientific journals, conference proceedings, international standards, dissertations, and preprint repositories related to AI-based automotive safety technologies. The findings indicate that AI has evolved from simple object detection systems into advanced technologies capable of driver cognitive state inference, predictive safety analysis, and autonomous decision-making. AI-based systems such as Automatic Emergency Braking (AEB), Adaptive Cruise Control (ACC), and Driver Monitoring Systems (DMS) have demonstrated significant contributions to reducing accident risks and injury severity. However, challenges remain regarding adverse weather conditions, mixed traffic environments, model uncertainty, certification frameworks, and ethical accountability. The study concludes that AI has substantial potential to improve road safety, but successful implementation requires robust technical development, adaptive regulations, and comprehensive safety assurance mechanisms.
IMPLEMENTASI METODE GOAL PROGRAMMING UNTUK OPTIMASI PRODUKSI KOPI PADA UMKM KOPI NAKA
Kopi Naka is a micro, small, and medium enterprise (MSME) operating in the coffee beverage sector, located in Tarakan, North Kalimantan. Kopi Naka produces several signature iced coffee variants, namely Naka (Milk Coffee), Naren (Palm Sugar), Namel (Caramel), Nalla (Vanilla), Nacho (Chocolate), and Nalo (Milo). In its daily operations, production quantities are still determined based on estimated demand, which often leads to suboptimal results. This study aims to optimize the production of Kopi Naka's signature menu using the goal programming method with the assistance of the POM-QM version 5.2 software. The objectives to be achieved include fulfilling the targeted production quantity, minimizing production costs, and maximizing profits. The optimization results indicate that all priority goals can be optimally achieved. The production capacity target of 1,400 cups per month can be met through a recommended production combination of 1,355 cups for the Naka variant and 45 cups for the Nacho variant. Through this production combination, Kopi Naka MSME can achieve an optimal profit target of IDR 3,245,000 per month, with an efficient production cost utilization of IDR 11,200,000 per month (achieving a savings of IDR 40,000 from the total estimated cost constraint of IDR 11,240,000).
ANALISIS KOMPARATIF MODEL KLASIFIKASI KEBUGARAN DAN EVALUASI REGRESI PREDIKSI KALORI DAN CHATBOT PADA EKOSISTEM FITTRACK AI
Interpreting physiological health data and self-reported nutrition records often poses a computational challenge for non-expert users. Therefore, this study aims to conduct a comparative analysis of fitness level classification modeling and predictive calorie regression evaluation. Both are integrated into a unified health tracking ecosystem called FitTrack AI. The performance of the Random Forest, XGBoost, and Support Vector Machine (SVM) algorithms was comprehensively compared for multi-class classification. Meanwhile, calorie burn estimates were evaluated using the Random Forest Regressor. As a holistic system, this ecosystem is also supported by body weight projection analysis (Linear Regression), dietary pattern mining (Apriori), and an automated logging interface based on a Large Language Model (Groq API). Test results show that XGBoost is the best classification model, with an accuracy rate of 76.37%, outperforming other algorithms. In the calorie prediction regression test, the model achieved highly accurate performance with a coefficient of determination (R²) of 0.996. In terms of ecosystem functionality, the interactive virtual assistant (FitBot) recorded a 90.0% success rate in executing tool calls for data entry and achieved a System Usability Scale (SUS) score of 90.1 (Very Good category). Overall, this multi-model analytical approach has proven to be robust and effective in translating the complexity of biological data into comprehensive and personalized digital health insights.
RANCANG BANGUN SISTEM INFORMASI ABSENSI SISWA BERBASIS WEB MENGGUNAKAN QR CODE DENGAN FITUR LAPORAN OTOMATIS PADA SDN CIPAYUNG 01
The development of information technology has significantly influenced various fields, including education. SDN Cipayung 01 still uses a manual student attendance system that relies on attendance books, requiring considerable time and risking recording errors. Based on these problems, a web-based student attendance information system using QR Code with automatic report features was developed. The system was built using the PHP programming language and MySQL database, accessible through a web browser. Students simply scan their QR Code to record attendance, which is then automatically saved to the database. Testing results show that the QR Code-based attendance system reduces attendance time from 10-15 minutes to 2-5 minutes per class, achieving approximately 66% time efficiency. All system features performed successfully in functional testing, including login, QR scanning, student data management, daily recaps, monthly reports, and CSV export.
TINJAUAN STANDAR ETIKA GLOBAL TERHADAP REGULASI TEKNOLOGI INFORMASI DI INDONESIA: PERSPEKTIF PAPA FRAMEWORK DAN HUKUM POSITIF
The exponential growth of information technology (IT) demands alignment between national legal regulations and global ethical standards. This study critically examines the extent to which Indonesia's positive law adopts global ethical standards through the lens of the PAPA Framework (Privacy, Accuracy, Property, Accessibility) and the five fundamental principles of cyber ethics. Employing a normative legal research method combined with comparative literature review, this study analyzes international codes of ethics (ACM and IEEE) alongside Indonesia's domestic regulations, including the Electronic Information and Transactions Law (UU ITE), the Copyright Law, the Personal Data Protection Law (UU PDP), and the Second Amendment to the UU ITE. The findings indicate that Indonesia's positive law has accommodated privacy, accuracy, and property as a legal floor, with notable reinforcement of the privacy pillar following the enactment of the UU PDP. However, a significant gap remains in the accessibility dimension and in practical ethical implementation, as reflected in the prevalence of dark patterns and algorithmic bias. This study concludes that strengthening the National Work Competency Standards (SKKNI) by explicitly integrating global ethical values is essential to producing IT human resources who are both globally competitive and morally accountable
SISTEM MONITORING LAMPU JARAK JAUH BERBASIS WIFI DAN BLYNK MENGGUNAKAN ESP32 PADA LINGKUNGAN SIMULASI WOKWI
Internet of Things (IoT)-based lighting control systems enable users to monitor and control electronic devices remotely via internet connection. This study aims to develop and implement a WiFi-based lighting monitoring and control system using an ESP32 microcontroller integrated with the Blynk platform. System development and testing were carried out in the Wokwi simulation environment. The research employed a prototype method with an experimental approach. This approach consisted of requirements analysis, system design, implementation, integration with Blynk Cloud, and system testing. In the developed system, ESP32 functions as the main controller, a relay acts as the actuator, and an LED represents the lamp. Functional testing was conducted across nine scenarios to verify the monitoring and control capabilities of the system. The results show that the ESP32 successfully connected to the WiFi network and Blynk Cloud with a connection success rate of 100%, confirming that the network configuration and Authentication Token were correctly configured. The system was able to execute lighting control commands with an average response time of 0.36 seconds, ranging from 0.1 to 0.8 seconds. In addition, the lamp status was accurately displayed through a virtual pin on the Blynk dashboard according to the actuator condition. The use of Wokwi enabled system development and testing without requiring physical hardware, thereby accelerating the validation process. The findings indicate that the integration of ESP32 and Blynk can serve as a simple and scalable prototype for IoT-based smart home development.
SEGMENTASI PELANGGAN MENGGUNAKAN METODE RFM DAN K-MEANS CLUSTERING UNTUK MENDUKUNG STRATEGI PEMASARAN PADA ONLINE RETAIL
The rapid growth of e-commerce has generated massive customer transaction data that can support business decision-making. However, many companies have yet to fully leverage this data for understanding customer behavior and developing targeted strategies. This study aims to perform customer segmentation on the Online Retail II dataset using the Recency, Frequency, Monetary (RFM) approach combined with the K-Means Clustering algorithm in order to generate customer profiles that can serve as the basis for business strategy development. The dataset used in this study consists of 1,067,371 customer transaction records with eight main attributes. The preprocessing stage included the removal of missing values in Customer ID, duplicate records, invalid transactions, and return transactions. Subsequently, RFM values were calculated for 5,878 unique customers. To improve data quality, outlier removal was performed using the Interquartile Range (IQR) method, resulting in 5,182 customers being retained for the clustering process. Prior to modeling, the data were normalized using the Min-Max Scaling technique. The optimal number of clusters was determined using the Elbow Method and Silhouette Score, which indicated that k = 3 was the best configuration with a Silhouette Score of 0.4780. The clustering results identified three customer segments with distinct characteristics. Cluster 0 had an average Recency of 91.53 days, Frequency of 2.88 transactions, and Monetary value of 776.59, representing potential customers. Cluster 1 exhibited the highest Recency value of 479.40 days along with the lowest Frequency and Monetary values, indicating at-risk customers. Cluster 2 showed the lowest Recency value of 69.31 days and the highest Frequency and Monetary values of 8.80 transactions and 2,943.38 respectively, representing loyal and high-value customers (Champions). Based on the characteristics of each segment, different marketing strategies can be implemented, including loyalty programs, upselling strategies, and customer reactivation campaigns. The findings demonstrate that the combination of the RFM method and K-Means Clustering is effective in generating customer segmentation and supporting data-driven customer intelligence to improve marketing strategy effectiveness in the retail industry.
ANALISIS PEMANFAATAN ARTIFICIAL INTELLIGENCE (AI) DALAM EFISIENSI PEMBUATAN KONTEN DIGITAL PADA APLIKASI TIKTOK
The development of digital technology has encouraged the utilization of Artificial Intelligence (AI) in various activities, including digital content creation on social media platforms such as TikTok. This study aims to analyze the role of AI in improving the efficiency of digital content creation on the TikTok application. The research employed a qualitative method with a literature review approach by examining various relevant scientific sources, including journals, books, articles, and previous studies. The results indicate that the utilization of AI contributes to improving the efficiency of the content creation process through the automation of various production stages, enhancement of content quality, and optimization of audience interaction. In addition to increasing productivity, AI also helps content creators produce content that is more relevant and adaptive to digital trends. However, the utilization of AI still faces several challenges, such as algorithmic bias, dependence on automated systems, and the risk of reduced content originality. Therefore, the use of AI should be balanced with users' creativity and capabilities to maximize the benefits of the technology. This study shows that AI plays a strategic role as a supporting technology in improving the efficiency and effectiveness of digital content creation on the TikTok platform.
ANALISIS PERKEMBANGAN TEKNOLOGI DOMPET DIGITAL DALAM MEMFASILITASI TRANSAKSI CASHLESS DI INDONESIA
The use of technology has changed how people make payments, with more people using digital methods instead of cash. A popular innovation in this development is the digital wallet, which allows users to store money and make payments, transfers, and purchases through mobile applicationsThis article analyzes at how digital wallet technology helps support cashless transactions in Indonesia. The discussion focuses on ease of use, security, technology support, and barriers to adoption. This study was conducted through a survey of digital wallet users, mainly students who have used these services for cashless transactions. Data were collected through a questionnaire and analyzed using statistical tests. The results show that digital wallets play an important role in supporting cashless transactions because they are fast, accessible, and provide transaction history. Digital wallets also work with QRIS, Indonesia’s national QR code payment standard, which makes digital payments easier to use across different platforms. However, there are still several challenges in using digital wallets. Some users still have limited digital literacy, concerns about data security, and limited internet access. This article provides a foundation for further research on digital payment behavior in Indonesia. Digital wallets have become an important part of cashless transactions because they offer convenience, speed, and security. Their use is expected to continue growing as digital payment technology develops and as people become more familiar with digital financial services.
ANALISIS PERKEMBANGAN TEKNOLOGI INTERNET OF THINGS (IOT) DALAM MONITORING KESEHATAN PASIEN DI RUMAH SAKIT
The development of information and communication technology has encouraged the implementation of the Internet of Things (IoT) in the healthcare sector, particularly for patient monitoring in hospitals. Manual monitoring processes often experience delays in information delivery, dependence on medical personnel, and the risk of human error. This study aims to analyze the development of IoT technology in patient health monitoring, its benefits, and the challenges faced in its implementation. The research employed a qualitative method using a literature review approach through the collection and analysis of various journals, books, and scientific articles related to IoT in healthcare. The results indicate that IoT enables real-time patient monitoring through internet-connected sensors, allowing healthcare professionals to access patient data quickly and efficiently. In addition, IoT has been integrated with cloud computing and artificial intelligence technologies to improve data management efficiency. Despite offering numerous benefits, its implementation still faces challenges related to data security, infrastructure requirements, implementation costs, and human resource readiness. Therefore, IoT has significant potential to improve the quality of healthcare services in hospitals.
ANALISIS PERKEMBANGAN ARTIFICIAL INTELLIGENCE DAN DAMPAKNYA TERHADAP PENCIPTAAN KARYA SENI DIGITAL DI ERA MODERN
The development of Artificial Intelligence in the modern era has brought significant impacts across various fields, including the creation of digital artworks. This study aims to analyze the development of Artificial Intelligence in the world of digital art, its role in the creative process, its impact on artists’ creativity, as well as the challenges and problems arising from its use. The research method used is a qualitative method with a literature study approach through collecting data from scientific journals, articles, and other reliable sources. The results of the study show that Artificial Intelligence is able to assist the process of creating digital artworks by improving efficiency, productivity, and creative exploration. In addition to providing positive impacts, the use of Artificial Intelligence also creates negative impacts such as reducing the originality of artworks, diminishing emotional elements in art, and the potential replacement of human artists. Furthermore, the use of Artificial Intelligence in digital art also raises ethical and copyright issues related to ownership of works and the use of data as training material for Artificial Intelligence. Therefore, a balance between the utilization of Artificial Intelligence technology and human creativity is needed in order to maintain the aesthetic value and meaning of art.
PERANCANGAN BASIS DATA RELASIONAL PADA SISTEM REKAM MEDIS ELEKTRONIK PUSKESMAS XYZ
Article 45 of the Regulation of the Minister of Health Number 24 of 2022 mandates all healthcare facilities in Indonesia to implement Electronic Medical Records (EMR). To comply with this regulation, XYZ Community Health Center (Puskesmas XYZ), whose data recording activities currently still rely on conventional or manual medical records, requires a digital transformation through the design of a structured and integrated database. This study aims to design the EMR database architecture at XYZ Community Health Center using the Entity Relationship Diagram (ERD) approach, which is then transformed into the Conceptual Data Model (CDM) and Physical Data Model (PDM) schemas. The methodology in this study was carried out systematically through a series of procedures, starting from problem identification, needs analysis, system design, design implementation, to drawing conclusions. This study successfully developed a database blueprint containing seven integrated main tables. The application of this data architecture is projected to contribute to accelerating the migration from manual systems to EMR, minimizing the risk of data redundancy, increasing service operational efficiency, ensuring the healthcare facility's compliance with government regulations.
SISTEM INFORMASI PERIZINAN BERBASIS WEBSITE DI ASRAMA MA’HAD ALY PUTRI
The rapid development of information technology has encouraged Islamic boarding schools to modernize their administrative processes, including the management of student leave permits. At Asrama Ma'had Aly, the leave permit process is still conducted manually, causing various problems such as data loss, delays in approval, and difficulties in preparing reports. This study aims to design and develop a web-based leave permit information system to improve the effectiveness and efficiency of permit administration. The research employed a qualitative approach using field research and library research methods. Data were collected through interviews, observations, and documentation. The system development method used was the Waterfall model, consisting of requirement analysis, system design, implementation, testing, and maintenance. The system was developed using PHP as the programming language and MySQL as the database management system. The resulting application enables students to submit permits online, allows administrators to verify and manage permit requests, and provides structured reporting features. The implementation of this system is expected to minimize data errors, reduce misuse of permits, and improve the overall efficiency of administrative services at Asrama Ma'had Aly
ANALISIS PERKEMBANGAN ARTIFICIAL INTELLIGENCE DALAM DIAGNOSIS PENYAKIT SERTA DAMPAKNYA TERHADAP PELAYANAN KESEHATAN DI ERA MODERN
The rapid advancement of Artificial Intelligence (AI) technology has significantly impacted various aspects of human life, including the healthcare sector. One of the most prominent applications of AI is its use in disease diagnosis processes. AI's ability to process large volumes of medical data enables healthcare professionals to detect diseases more quickly, accurately, and efficiently. This study aims to analyze the development of Artificial Intelligence in disease diagnosis, identify its role in healthcare services, and examine the impacts and challenges arising from its implementation. The research employs a qualitative approach through a literature review method. Data were collected from scientific journals, research articles, books, and other credible academic sources related to AI applications in healthcare. The findings indicate that AI has substantial potential to improve disease diagnosis through medical image analysis, electronic health record processing, and clinical decision support systems. although AI offers numerous benefits, including improved diagnostic accuracy and healthcare efficiency, it also presents challenges related to patient data privacy, ethical concerns, and technological dependency. Therefore, responsible technological development and clear regulations are essential to ensure that AI implementation in healthcare provides optimal benefits for society.
ANALISIS PERAN TEKNOLOGI AI PADA PERSONALISASI FOR YOU TERHADAP APLIKASI THREADS
This study analyzes the role of Artificial Intelligence (AI) technology in personalizing the For You on the Threads app, a text-based social media platform developed by Meta. This study aims to bridge the gap in quantitative and qualitative understanding of how AI algorithms influence users’ content consumption patterns, particularly through adaptive filtering based on search keywords, interactions (likes, reposts), followed accounts, and trends. A quantitative approach was employed by distributing an online Likert-scale questionnaire to 51 active Threads users. Satisfaction levels were analyzed using the End-User Computing Satisfaction (EUCS) method through three main indicators: For You Accuracy (Q1), Interest Relevance (Q2), and Keyword Search Influence (Q3). Reliability test results indicate that the research instrument is reliable with a Cronbach’s Alpha value of 0.836. Demographic analysis revealed that respondents were predominantly young adults aged 18–24. Key findings based on descriptive statistics showed that the keyword search feature in the For You received the highest average score of 3.78, followed by content relevance to personal interests at 3.59, and recommendation accuracy at 3.49. Overall, the Grand Mean score of 3.62 places user satisfaction in the “Satisfied” category, with 62.7% of respondents stating they were satisfied or very satisfied. Correlation analysis reveals a fairly strong positive relationship among indicators, with the highest correlation between For You Accuracy and Interest Alignment ($r = 0.679$). However, user awareness of AI mechanisms remains limited, such as a lack of knowledge regarding the "Dear Algo" feature, which could potentially restrict information diversity. The study concludes that AI-based For You significantly increases engagement and satisfaction, but highlights the need for transparency and better user control through specific topic filter features. These insights are expected to provide strategic guidance for the Threads development team and contribute to broader discussions regarding AI implementation on digital platforms.
EVALUASI USABILITY FITUR SCREEN TIME BREAKS DAN SLEEP REMINDERS PADA TIKTOK UNTUK ETIKA KESEJAHTERAAN DIGITAL
The rapid growth of social media, particularly TikTok, has raised significant concerns regarding addictive behavior and the digital wellbeing of its users. In response, TikTok has introduced "Screen Time Breaks" and "Sleep Reminders" features to assist users in managing their usage time. However, the effectiveness of these features heavily depends on their usability and ethical design transparency. This study aims to evaluate the usability of these two features using User Testing and the System Usability Scale (SUS) method, while analyzing them through the lens of digital wellbeing ethics. The testing was conducted on Information Systems students by measuring the Success Rate and Time on Task in locating and activating these features. The results of this study demonstrate the level of user ease in accessing time-management tools and whether TikTok's interface design supports or hinders the principles of Privacy by Design and Digital Wellbeing. These findings are expected to contribute to the development of application interfaces that are more humane and ethical in safeguarding user mental health. These findings emphasize the critical need for digital platforms to conduct periodic evaluations of their wellbeing features, ensuring that digital addiction intervention instruments are accessible, transparent, and accountably designed.
ANALISIS DAN RANCANGAN SISTEM INFORMASI LAYANAN POSYANDU BERBASIS WEB PADA POSYANDU ALPOKAT
Posyandu is a community-based health service that plays an important role in monitoring maternal and child health. However, the data management process at Posyandu Alpokat is still carried out manually using record books, causing several problems such as difficulties in data retrieval, risk of data loss, and slow report generation. This study aims to design a Web-Based Posyandu Information System that is designed to assist in managing toddler data, pregnant women data, health examination records, child growth monitoring, and digital report generation. The methods used in this study include requirements analysis, system design using Data Flow Diagrams (DFD), Entity Relationship Diagrams (ERD), and database design. The results of this study indicate that the designed system can improve the effectiveness and efficiency of Posyandu data management, facilitate information retrieval, increase data recording accuracy, and support more organized and modern public health services.
PERANCANGAN SISTEM INFORMASI MANAJEMEN GUDANG DI PLN ULP AMPERA
Warehouse management is an important aspect in supporting operational activities at PLN ULP Ampera, particularly in maintaining the availability of electrical materials and equipment. However, the warehouse management process, which is still carried out manually, causes several problems such as errors in recording incoming and outgoing goods, difficulties in monitoring stock in real time, and delays in generating reports. This study aims to design a web-based Warehouse Management Information System that can improve the efficiency, accuracy, and effectiveness of inventory management at PLN ULP Ampera. The research method used is Object-Oriented Analysis and Design (OOAD) with a Unified Modeling Language (UML) approach to model system requirements and design. The research stages include requirement analysis, system design, design validation, and preparation of the system blueprint. The results of this study are in the form of a web-based warehouse management information system design equipped with features for managing item data, recording incoming and outgoing goods transactions, monitoring stock in real time, managing users, and generating automatic reports in the form of tables and graphs. The system is also designed using a three-tier architecture consisting of front-end, back-end, and centralized database layers. Based on the results of the study, the designed system can improve data recording accuracy, accelerate administrative processes, and support the digitalization of material management within PLN ULP Ampera.
EVALUASI PENGGUNAAN PLATFORM CANVA PADA PENGGUNA PEMULA BERDASARKAN ISO/IEC 25010: STUDI DESKRIPTIF KUANTITATIF
Canva has become one of the most popular cloud-based graphic design tools in Indonesia with millions of active users from various backgrounds. Despite the continuous growth of Canva usage, there has been no comprehensive research measuring the quality of this platform using structured international standards. This study aims to evaluate the usability of Canva platform based on ISO/IEC 25010 standards, focusing on four quality characteristics: Usability, Functional Suitability, Performance Efficiency, and Reliability. The research method employed is a descriptive quantitative approach using survey technique involving 56 active Canva users in Indonesia. The research instrument consists of a structured questionnaire with 17 closed statements using a 5-point Likert scale and 2 open-ended questions to capture qualitative insights. Data were analyzed using descriptive statistics and thematic analysis for qualitative data. The research results indicate that Canva platform has good quality with an overall average score of 3.90 out of 5.00. Usability characteristic obtained the highest score of 4.04, categorized as very good, followed by Functional Suitability with a score of 3.98. Meanwhile, Performance Efficiency and Reliability obtained scores of 3.77 and 3.80, categorized as good. Qualitative analysis identified that the main user complaints were performance and speed issues (25 percent) and limited free features (13,6 percent). This study concludes that Canva's main strengths lie in usability and functional suitability, but significant improvements are needed in performance and system reliability aspects to enhance overall user satisfaction.
ANALISIS PENGALAMAN PENGGUNA APLIKASI ROBLOX DITINJAU DARI PERSPEKTIF MODEL KUALITAS MCCALL
Roblox is a multi-purpose online gaming platform used by more than 70 million users daily. Despite its popularity, there are still user complaints related to application performance, such as lag, frame rate drops, system instability, and difficulties in using the application across various devices. This study aims to analyze the user experience of the Roblox application from the perspective of the McCall Quality Model, which includes five main factors: correctness, reliability, efficiency, usability, and integrity. This research employs a descriptive quantitative approach by collecting data through an online questionnaire distributed to 67 active Roblox users. The questionnaire instrument was developed based on indicators of the McCall Model and utilized a Likert scale to measure user perceptions. The data were analyzed descriptively by calculating the mean and percentage for each quality factor. The results indicate that the overall quality of the Roblox application falls into the “Good” category, with an average score of 72.6%. The usability factor achieved the highest score at 77.8% (Very Good), indicating that the application is easy to use. Meanwhile, the reliability factor obtained the lowest score at 69.0% (Good), suggesting that issues related to system stability still exist. These findings indicate that although the Roblox application demonstrates good quality from the user’s perspective, improvements are still needed in terms of performance and efficiency, particularly for mobile devices with lower specifications.
Evaluasi Usability Aplikasi Spotify Berbasis Mobile Menggunakan System Usability Scale (SUS)
Spotify is a mobile-based music streaming application that is widely used by the public to access digital entertainment in a practical manner. The high level of usage of this application requires ease of use (usability) so that users can operate the application comfortably and efficiently. Therefore, usability evaluation is needed to determine the extent to which the Spotify application is able to meet user needs. This study aims to evaluate the usability level of the mobile-based Spotify application using the System Usability Scale (SUS) method. The research was conducted using a descriptive quantitative approach by distributing a SUS questionnaire consisting of ten questions to 58 respondents who are Spotify application users. The data obtained was analyzed by calculating the SUS score of each respondent and the average usability score. The results showed that the mobile-based Spotify application obtained an average SUS score of 62.59, which is in the marginal category with a grade of C and an OK rating. These results indicate that the Spotify application is generally quite easy to use, but there are still several usability aspects that need to be improved. The System Usability Scale (SUS) method was used because it is able to provide quick, reliable usability measurements and is widely used in the evaluation of mobile-based applications. Thus, it can be concluded that the usability of the mobile-based Spotify application is quite good, but there are still aspects that need to be improved.
PERANCANGAN UI/UX APLIKASI PEREKRUTAN KARYAWAN PT RODA PRIMA PERKASA MENGGUNAKAN METODE DESIGN THINKING
PT Roda Prima Perkasa, a building materials distributor, still uses a conventional employee recruitment process based on paper and email, which leads to inefficiencies such as lengthy file selection, risk of data loss, recording errors, and difficulties in data management. This study aims to design a User Interface (UI) and User Experience (UX) for an employee recruitment application to improve the effectiveness and efficiency of the recruitment process. The Design Thinking method was applied, consisting of five stages: empathize, define, ideate, prototype, and test. A qualitative approach was used through interviews with outsourcing personnel as system users to identify user needs and constraints. The results show that the proposed UI/UX design focuses on user needs, provides a clear workflow, and simplifies applicant data management, thereby improving recruitment efficiency, reducing errors, and enhancing user experience for both the company and applicants
ANALISIS PENERAPAN INFRASTRUKTUR TEKNOLOGI INFORMASI PADA PT TVMI UNTUK MENINGKATKAN EFISIENSI OPERASIONAL DISTRIBUSI
Advances in information technology have encouraged distribution companies to enhance service quality and operational effectiveness through the use of adequate IT infrastructure. PT TVMI is a company engaged in the sales and distribution of Toshiba televisions in Indonesia. Its operational activities—such as inventory management, transaction recording, goods distribution, and after-sales services—require the support of an integrated IT infrastructure. This study aims to analyze the IT infrastructure requirements at PT TVMI and to design recommendations for their implementation with reference to the Information Technology Infrastructure Library (ITIL) framework. The research methods used include needs analysis, gap analysis, and IT service process mapping based on ITIL domains. The results indicate that PT TVMI must modernize its IT infrastructure through the development of an integrated information system, the improvement of IT service procedures, the strengthening of information security, and the enhancement of IT human resource capabilities. The application of the ITIL framework is expected to improve the effectiveness of distribution operations, minimize system downtime, increase the accuracy of inventory data, and enhance coordination between work units.
PERANCANGAN ARSITEKTUR SISTEM FINGERPRINT MENGGUNAKAN TOGAF PADA PT RODA PRIMA PERKASA
PT Roda Prima Perkasa has implemented a fingerprint-based attendance system; however, attendance data management remains suboptimal due to limited integration and manual recapitulation processes. This study aims to design a structured and integrated fingerprint attendance system architecture using The Open Group Architecture Framework (TOGAF). Data were collected through interviews, observations, and documentation studies of the existing system. The research methodology follows the stages of the TOGAF Architecture Development Method (ADM), including the Preliminary Phase, Architecture Vision, Business Architecture, Information Systems Architecture, and Technology Architecture. The results consist of a proposed fingerprint attendance system architecture covering business, application, data, and technology aspects, with centralized data management and the use of an Attendance Management System to support more effective attendance processing.
PERANCANGAN SISTEM INFORMASI MEDIA PROMOSI DIGITAL UNTUK MENDUKUNG PENJUALAN PRODUK PADA ELMO SHOP
Competition in the micro and small business sector demands the use of effective, informative promotional media that can support increased sales. This study aims to design promotional media for Elmo Shop's product sales based on visual communication design as part of a promotional information system to clarify product information delivery and strengthen the business's identity. The method used was descriptive qualitative, with data collection techniques through observation, questionnaires, and literature review. The promotional media design process was conducted using the Luther–Sutopo multimedia development method, which includes the stages of concept, design, material collection, production, testing, and distribution. The research results produced promotional media in the form of business cards, posters, x-banners, and banners that were designed consistently and communicatively. Evaluation using a questionnaire showed that the developed promotional media increased consumer interest and understanding of the product, as well as the effectiveness of Elmo Shop's promotions. Thus, this visual communication design-based promotional media design contributes to supporting the promotional information system and increasing sales potential for micro and small businesses.
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PERENCANAAN STRATEGIS SISTEM INFORMASI PADA CV. REJEKI RAYA SEJAHTERA MENGGUNAKAN METODE WARD AND PEPPARD
The alignment of information systems with business needs plays an important role in improving organizational operational effectiveness. CV Rejeki Raya Sejahtera faces challenges because its information systems have not been strategically planned, resulting in limited support for achieving business objectives. This study aims to develop an information systems strategic plan that aligns with the company’s conditions and business needs. The study employs the Ward and Peppard method using a qualitative descriptive approach. Data were collected through interviews and observations, then analyzed using internal and external environmental analysis and information systems mapping with the McFarlan Strategic Grid. The results indicate that existing information systems are still focused on operational activities and have not yet supported business strategy. The contribution of this study is a structured application portfolio and IS/IT development recommendations, which are expected to improve business process effectiveness and support managerial decision making in a sustainable manner for organizational contexts.
PERENCANAAN STRATEGIS SISTEM INFORMASI MENGGUNAKAN METODE WARD AND PEPPARD PADA PT. CENTRAL BEARINDO INTERNATIONAL
The rapid development of information technology requires companies to implement strategic planning of Information Systems/Information Technology (IS/IT) that is aligned with business objectives. PT Central Bearindo International, a national-scale bearing distribution company, has utilized several information systems to support its operational activities; however, these systems still operate independently, resulting in data integration issues and reduced operational efficiency. This study aims to develop an IS/IT strategic planning framework that effectively supports the company’s business needs. The Ward and Peppard method is employed, encompassing internal and external business environment analysis, IS/IT condition analysis, application portfolio mapping using the McFarlan Strategic Grid, and the formulation of IS/IT development recommendations and a roadmap. The results indicate that the company requires integration of sales, inventory, and financial systems to improve data accuracy and consistency. Furthermore, optimization of existing systems and the development of a human resource (HR) module integrated with the fingerprint-based attendance system are recommended to enhance operational efficiency. The integrated utilization of system data is also expected to support more accurate and data-driven managerial decision-making. This study is expected to serve as a reference for companies in developing integrated information systems aligned with their business strategies.
ANALISIS VEKTOR PADA ALAT PENGUKUR DAN PEMBATAS (APP) 3 PHASA DI PLN UP3 MOJOKERTO
The high level of electrical energy consumption in the UP3 Mojokerto area has become a significant concern for PT PLN (Persero) UP3 Mojokerto, particularly due to the risk of inaccuracies at transaction points (kWh meters) that may lead to increased energy losses. PT PLN (Persero) seeks to prevent measurement errors or misuse of electrical energy at the Metering and Limiting Equipment (Alat Pengukur dan Pembatas/APP), which could result in financial losses for both the utility company and customers. This study aims to minimize such measurement errors and potential irregularities through vector analysis of APP installed on three-phase customers, using a quantitative research approach. The analysis is supported by vector diagrams and instantaneous data obtained from the Automatic Meter Reading (AMR) application. The results indicate that vector analysis combined with AMR data enables PT PLN (Persero) to detect measurement anomalies in APP at an early stage. Consequently, this approach contributes to reducing potential losses and improving fairness and accuracy in energy transactions for both PT PLN (Persero) and its customers.
Copyright (c) 2024 Jurnal Riset Sistem Informasi https://creativecommons.org/licenses/by-sa/4.0
PENGUJIAN KEAMANAN APLIKASI BERBASIS WEB TERHADAP SERANGAN PARAMETER TAMPERING
The abstract contains a = Web application security is a critical aspect in ensuring the confidentiality and integrity of user data. One of the most common attack vectors is parameter tampering, which involves manipulating parameter values transmitted between the client and the server to alter application logic. This study aims to analyze the level of vulnerability of web applications to parameter tampering attacks and to identify the resulting security impacts. The research adopts a qualitative approach using a case study method through web application security testing based on black-box testing techniques. The testing process is conducted using tools such as Burp Suite and OWASP ZAP to observe application responses to parameter modifications. The results indicate that weaknesses in server-side parameter validation mechanisms still exist and may be exploited by attackers. Therefore, the implementation of strict server-side parameter validation and regular security testing is essential to enhance the overall security of web applications.