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 The rapid adoption of smartphones among Indonesian digital natives has increased reliance on biometric authentication systems. However, empirical evidence regarding the relationship between user satisfaction and security risk awareness remains limited, particularly in developing-country contexts. This study investigates the behavioral dynamics of biometric security perception among 266 respondents, consisting of 221 high school students and 45 university students in Indonesia. A Python-based computational pipeline incorporating Akaike Information Criterion (AIC) validation and 1,000-iteration stochastic bootstrapping was employed to evaluate nonlinear behavioral patterns using Polynomial Regression and Ordinary Least Squares (OLS) multivariate analysis. The results confirm the existence of a nonlinear Security Paradox. While the overall population demonstrates a positive quadratic trajectory, the university student group exhibits a concave-down parabolic relationship (a=−0.0460), indicating a decline in perceived utility beyond a specific security threshold. The identified behavioral breaking point occurs at X≈5.45 (95% CI: 2.99–20.77), suggesting that excessive security hardening may reduce perceived usability and increase cognitive friction. Furthermore, the ablation analysis reveals that security risk awareness (p<0.001) is the strongest predictor of user satisfaction, exceeding the influence of daily usage intensity. Segment-level analysis further demonstrates behavioral divergence between respondent groups. High school students exhibit relatively uniform satisfaction toward biometric systems, whereas university students display greater variability and more critical perceptions regarding authentication friction. These findings indicate that highly rigid security configurations may become less effective for users with higher digital literacy and risk awareness. This study contributes a computationally validated behavioral framework for understanding security–utility trade-offs and provides a conceptual foundation for developing adaptive, user-centric, and friction-aware biometric authentication systems.

 The quality of digital system services in the ship clearance process is closely related to the work effectiveness of shipping agency companies. The advancement of port operational services is influenced by the system’s ability to provide convenience, speed, accuracy, and service integration for users. The system used in the ship clearance process must be able to meet user needs and support inter-agency coordination so that ship services can operate more effectively and efficiently. This study aims to analyze the performance level and the level of user importance regarding the implementation of the Single Submission Pengangkut System in the ship clearance process at PT Trans Cakrawala Perkasa. The research employed a descriptive quantitative approach with a sample of 30 respondents consisting of ship agents involved in the clearance process. Data were collected through questionnaires, observations, and literature studies. The data were analyzed using validity tests, reliability tests, conformity level analysis, and the Importance Performance Analysis (IPA) method. The results indicate that the SSM Pengangkut System has made a positive contribution to accelerating document processing, facilitating system usage, increasing work productivity, and supporting coordination among related agencies. Based on the IPA Cartesian diagram, one indicator was identified as a priority for improvement, while other indicators were categorized as maintain performance, low priority, and high performance with lower importance levels. Overall, the implementation of the Single Submission Pengangkut System has been running quite well; however, continuous evaluation and improvement are still needed to optimize the ship clearance process further.

This study aims to develop a sentiment classification method for YouTube user comments related to the game Love and Deepspace using the Naïve Bayes algorithm, focusing on improving the text data processing and understanding user perceptions. Comment data were collected through scraping from YouTube videos, followed by preprocessing including text cleaning, normalization, stopword removal, stemming, and translation into English. Initial labeling was conducted using TextBlob, then the data were randomly sampled for training the Naïve Bayes model. Evaluation involved comparing sentiment distributions and visualization using Word Cloud and bar charts. The Naïve Bayes model achieved an accuracy of 77.36% in sentiment classification. The sentiment distribution shows differences between TextBlob (positive: 1,011, neutral: 1,312, negative: 575) and Naïve Bayes (positive: 901, neutral: 1,627, negative: 370), with Naïve Bayes being more conservative. The Word Cloud visualization identifies dominant words such as "bang," "game," and "main," while the bar chart shows the largest proportion of neutral sentiment. Naïve Bayes is effective for sentiment classification on informal comment data, with significant differences from rule-based methods like TextBlob. This research contributes to the development of text data processing techniques and user perception analysis, as well as opening up optimization opportunities with other algorithms like SVM for better accuracy.

The swift proliferation of short-video-centric social media, notably TikTok, has revolutionized the educational landscape by facilitating novel methods of knowledge production, dissemination, and interpretation. This phenomenon denotes a transition in media and signifies an epistemological transformation in educational practices within the digital age. This study seeks to analyze the representation and interpretation of knowledge in TikTok educational content using a qualitative methodology grounded in an interpretive case study framework. Data were gathered via digital participant observation, comprehensive interviews, and document analysis involving 12 participants, comprising educational content creators and active TikTok users in higher education settings. Thematic data analysis was performed utilizing a Multimodal Critical Discourse Analysis framework to elucidate the interplay among visual, verbal, and auditory components in the construction of meaning. The results show three main patterns: the conflict between quick understanding and deep knowledge, the importance of emotional multimodal experiences in learning, and the negotiation of knowledge authority in changing digital spaces. These results indicate that learning via TikTok encompasses not only cognitive aspects but also intricate emotional, aesthetic, and social dimensions. This study theoretically enhances multimodal discourse analysis by integrating users' subjective experiences, while practically informing the advancement of critical digital literacy and the design of social media-based learning. Moreover, this study facilitates additional investigation into algorithmic dynamics, digital identity, and the evolution of learning methodologies within platform-centric contexts.

This research is motivated by the increasing urban activities in Mempawah Hilir District as a Regional Activity Center, which has led to high traffic movement at the intersection of Jl. Raden Kusno – Jl. A. Djaelani – Jl. Raden Sujarwo. The diversity of land use and the meeting of arterial and collector roads create potential traffic conflicts and accident risks. The installation of traffic lights is implemented as a traffic control measure; however, its effectiveness in improving safety and comfort needs further analysis. This study aims to assess traffic safety and comfort conditions after the implementation of traffic lights at the intersection. A quantitative approach was used with primary and secondary data. Primary data were obtained through questionnaires on road users’ perceptions and field observations, while secondary data included traffic accident records from Mempawah Police and spatial development data from Google Earth Pro, Google Maps, Copernicus, and Google Colab. The analysis employed descriptive-comparative, spatial descriptive, and scoring methods. The results show that traffic lights implemented since August 2023 have reduced traffic accidents and improved safety conditions, although not yet optimal compared to the lowest accident rate in 2021. Increased land use activity and traffic volume influence this condition. User perceptions indicate improved comfort internally, but external factors such as road conditions and side obstacles still reduce comfort and safety.

This study examines the influence of service quality and application quality on user satisfaction with the Sipaduko public service application at the Department of Population and Civil Registration of Jambi City. The research is motivated by the importance of improving the quality of digital-based public services to fulfill community needs effectively and efficiently. Although Sipaduko was developed to simplify online population administration services, several obstacles remain, including limited human resources, application usage difficulties, system disruptions, and lengthy service processes. This study uses a quantitative approach with data collected through questionnaires distributed to Sipaduko users. The data were analyzed using statistical methods to determine the partial and simultaneous effects of service quality and application quality on user satisfaction, as well as to identify the most dominant variable. The results indicate that both service quality and application quality significantly influence user satisfaction, both individually and simultaneously. Among the two variables, application quality shows the strongest influence on user satisfaction in accessing digital public services.

This study aims to understand the role of E-Commerce in building customer loyalty, explain the process of loyalty formation, and assess how customers perceive service quality in relation to loyalty, using the GoFood service in Jombang as a case study. The rapid growth of online food delivery services has intensified competition, making customer loyalty a critical factor for sustainability. Employing a qualitative case study approach, data were collected through in-depth interviews with 30 GoFood customers and several drivers in the Jombang area. The findings reveal that E-Commerce platforms significantly enhance loyalty through user-friendly application interfaces, supporting features (such as live tracking, history, and digital payments), and beneficial promotions. The loyalty formation process occurs gradually through consistent positive experiences, moving from customer satisfaction to trust, and ultimately to habitual use. Crucially, the quality of driver services—including politeness, effective communication, punctuality, and order accuracy—emerged as a key determinant of customer comfort and repeat orders. This study implies that for E-Commerce platforms to maintain a competitive edge, strategies must integrate digital convenience with consistently reliable human interactions. The research contributes empirical insights from a semi-urban Indonesian context, highlighting that customer loyalty is not merely transactional but is built on a combination of technological ease, economic value, and positive interpersonal service experiences.

Advances in information and communication technology have encouraged governments to integrate digital systems into public service delivery through e-government initiatives. In Riau Province, the Riau application at the Soeman H.S. Library exemplifies this implementation. This study examines how the Riau application enhances the effectiveness and efficiency of public services within the library. Using a descriptive qualitative method, data were collected through interviews, observations, and documentation. Findings show that the application provides convenient online access to library information and services. However, challenges remain, including limited financial resources, dependence on external parties, and insufficient feature development to meet user needs fully. These findings underscore the importance of strengthening institutional capacity, improving infrastructure, and formulating strategic plans to sustain digital library services. In line with Indonesia’s 1945 Constitution, regional governments possess autonomy to manage local affairs, aiming to improve public welfare through enhanced services, community empowerment, and civic participation while promoting regional competitiveness with attention to equity and democratic values. Following Presidential Instruction No. 3 of 2003, digital governance transformation is necessary to reduce bureaucratic barriers, integrate workflows, and support inter-institutional collaboration.

He rapid advancement of digital technology has significantly transformed human life, particularly in the way information is accessed, processed, and distributed. While this development brings numerous benefits, it also generates serious challenges such as information overload, misinformation, and the decline of critical thinking skills among digital users. This study aims to examine the relevance of the philosophical thought of Al-Kindi on intellect (aql) and knowledge in addressing these contemporary issues within the digital era. The research employs a qualitative approach through library research, analyzing classical philosophical texts and contemporary scholarly works related to epistemology and digital literacy. The findings show that Al-Kindi positions intellect as the primary faculty of human beings in understanding truth and organizing knowledge systematically and rationally. According to Al-Kindi, knowledge must be grounded in logical reasoning to achieve certainty and clarity. In the context of the digital era, this perspective is highly relevant as individuals are required to critically evaluate vast and unfiltered information circulating in digital spaces. This study concludes that Al-Kindi’s rational philosophy provides a strong intellectual foundation for developing digital literacy, strengthening critical thinking skills, and promoting responsible engagement with technology in modern society.

This study aims to analyze the level of student satisfaction in paying tuition fees (UKT) through the BRImo application at Universitas Negeri Gorontalo. The research applies the service quality (SERVQUAL) framework, which consists of five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. A qualitative descriptive approach was employed, with data collected through in-depth interviews, direct observations, and documentation. Participants included students who actively use the BRImo application for UKT payments as well as staff responsible for tuition management. Data analysis followed a systematic process involving data reduction, data display, and drawing conclusions to ensure accuracy and clarity of findings. The results indicate that using the BRImo application for tuition payment offers significant convenience and efficiency, allowing students to complete transactions without physically visiting the university payment office. Despite these benefits, several challenges were identified, including failed transactions, delays in payment confirmation, and suboptimal responses from customer service staff. Overall, the study concludes that student satisfaction with tuition payments via BRImo is considered fairly good. Nevertheless, improvements in reliability and responsiveness are recommended to further enhance the user experience and optimize the quality of service provided.  

The increasing use of mobile applications in the retail industry has generated a large volume of user reviews that contain valuable insights regarding customer experience and service quality. However, the unstructured nature of these reviews requires an automated approach to extract meaningful patterns efficiently. This study aims to perform sentiment analysis on user reviews of the Indomaret Poinku application by integrating lexicon-based labeling with machine learning classification. A total of 10,000 reviews were collected from Google Play Store and processed through a series of text preprocessing steps, including cleaning, case folding, normalization, tokenization, stopword removal, and stemming. Sentiment labeling was performed using the Indonesian Sentiment Lexicon (InSet), producing three sentiment classes: positive, negative, and neutral. The labeled data were vectorized using CountVectorizer and classified using two algorithms: K-Nearest Neighbors (KNN) and Random Forest (RF). Evaluation results show that Random Forest outperforms KNN, achieving an accuracy of 82.5%, compared to 69% for KNN. Random Forest demonstrates superior performance in handling high-dimensional sparse text features and yields more stable predictions across sentiment classes. This study contributes to the growing body of research on Indonesian sentiment analysis by demonstrating the effectiveness of combining lexicon-based labeling with ensemble learning methods, offering practical implications for developers seeking to improve the quality and user satisfaction of digital retail applications.

Aplikasi LinkedIn merupakan platform jejaring profesional yang digunakan untuk membangun koneksi, mencari pekerjaan, serta mengembangkan karier. Dalam penggunaannya, pengguna sering memberikan ulasan pada Google Play Store yang berisi pengalaman dan kendala yang dialami saat menggunakan aplikasi. Ulasan tersebut dapat dimanfaatkan sebagai sumber data untuk mengidentifikasi gangguan layanan yang terjadi pada aplikasi. Penelitian ini bertujuan untuk menganalisis jenis gangguan layanan yang dialami oleh pengguna aplikasi LinkedIn berdasarkan ulasan pengguna pada Google Play Store. Pengumpulan data dilakukan menggunakan teknik web scraping untuk memperoleh ulasan pengguna. Data yang telah dikumpulkan kemudian melalui proses pembersihan dengan menghapus ulasan yang tidak berkaitan dengan gangguan layanan. Selanjutnya, ulasan yang relevan diklasifikasikan ke dalam beberapa kategori gangguan, yaitu Login/Verification Error, Account Problem, System Error, Performance Issue, dan Security Issue. Data yang telah diklasifikasikan kemudian diolah untuk mengetahui jumlah dan distribusi setiap jenis gangguan. Hasil pengolahan data menunjukkan bahwa gangguan yang berkaitan dengan proses login dan verifikasi akun serta kesalahan sistem masih sering dialami oleh pengguna. Hasil tersebut kemudian dianalisis dengan mengacu pada proses pengelolaan permintaan layanan dan insiden pada framework COBIT 5, khususnya proses DSS02 Manage Service Requests and Incidents. Analisis ini memberikan gambaran mengenai jenis gangguan yang dialami pengguna dari perspektif pengelolaan layanan TI. Hasil penelitian diharapkan dapat menjadi bahan evaluasi untuk meningkatkan kualitas layanan aplikasi.

Pesatnya perkembangan teknologi informasi mendorong terjadinya digitalisasi di berbagai bidang usaha, termasuk pada layanan jasa cuci sepatu. Penggunaan aplikasi mobile menjadi salah satu alternatif untuk meningkatkan kualitas layanan, efisiensi operasional, serta kemudahan akses bagi pelanggan. Namun demikian, keberhasilan sebuah aplikasi tidak hanya bergantung pada fungsi yang dimiliki, tetapi juga pada kualitas desain antarmuka (User Interface/UI) dan pengalaman pengguna (User Experience/UX) yang mampu memberikan kenyamanan dan kemudahan dalam penggunaan. Tujuan dari penelitian ini adalah merancang desain UI/UX pada aplikasi mobile layanan cuci sepatu OurShoes agar lebih mudah dipahami, menarik, dan efisien digunakan. Metode yang diterapkan adalah Design Thinking yang meliputi tahapan empathize, define, ideate, prototype, dan testing. Hasil yang diperoleh berupa rancangan antarmuka aplikasi mobile dengan fitur utama seperti halaman login dan registrasi, pemesanan layanan, sistem pembayaran, notifikasi status pesanan, serta pengelolaan profil pengguna. Rancangan ini diharapkan dapat meningkatkan kualitas pengalaman pengguna, mempermudah proses transaksi, serta membantu pelaku usaha dalam mengelola layanan secara lebih efektif dan efisien. Dengan demikian, aplikasi ini berpotensi menjadi solusi digital yang mendukung pengembangan usaha cuci sepatu di era modern.

Penelitian ini dilatarbelakangi oleh proses absensi karyawan pada Stand Bento dan Stand Es Teh Luwes Ungaran yang masih dilakukan secara manual menggunakan buku absensi. Kondisi tersebut menimbulkan beberapa kendala, seperti kesalahan pencatatan jam masuk dan pulang, risiko kehilangan atau kerusakan data, serta lambatnya proses rekapitulasi laporan kehadiran. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem absensi karyawan berbasis web menggunakan teknologi QR Code guna mengoptimalkan pengelolaan kehadiran pada usaha kuliner skala kecil. Metode pengembangan sistem yang digunakan adalah model Waterfall, yang meliputi tahapan analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Sistem dikembangkan menggunakan PHP, MySQL, XAMPP, dan Visual Studio Code, serta dilengkapi fitur login, pengelolaan data karyawan, generate QR Code, scan QR Code, histori absensi, dan rekapitulasi laporan kehadiran. Pengujian dilakukan menggunakan Black Box Testing dan User Acceptance Testing (UAT). Hasil pengujian menunjukkan bahwa seluruh fungsi utama sistem berjalan valid sesuai kebutuhan pengguna. Sistem ini mampu mendukung pencatatan kehadiran secara lebih cepat, terstruktur, dan terintegrasi dengan basis data, serta membantu pengelola usaha dalam memantau dan merekap data kehadiran karyawan secara lebih efisien.

This study examines the role of QRIS as a non-cash payment system in supporting the digitalization of micro, small, and medium enterprises (MSMEs) in Indonesia. The rapid growth of digital transactions has encouraged MSMEs to adopt more efficient, practical, and secure payment systems. This study aims to integrate the benefits and barriers of QRIS, map its position in the MSME digitalization process, and develop a conceptual framework for future research. A descriptive qualitative approach with a literature study design was employed, utilizing relevant academic sources related to QRIS, MSMEs, digital payments, and user behavior. Data were analyzed using content analysis by comparing, interpreting, and synthesizing findings from selected literature. The results indicate that QRIS contributes to simplifying transactions, improving operational efficiency, reducing cash dependency, and supporting MSMEs’ adaptation to digital payment trends. However, its implementation remains constrained by factors such as digital literacy, user readiness, trust, and infrastructural limitations. The study also highlights that QRIS adoption is influenced not only by technological advantages but also by perceived value and user trust. Therefore, QRIS can be positioned as a strategic instrument in accelerating the digital transformation of MSME payment systems. The findings imply the need for further empirical research to examine the direct impact of QRIS adoption on MSME performance and sustainability.

This study analyzes the implementation of public service innovation through the E-TTSP application at the Investment and One-Stop Integrated Services Agency (DPMPTSP) of Banten Province. Using a descriptive qualitative method, data were collected through interviews, observation, and document analysis. The results show that this digital system has significantly improved service quality and efficiency. Processing time was reduced from 7–14 days to only 2–5 days, while bureaucratic procedures were simplified. The system also enhances transparency, accountability, and accessibility, allowing users to apply online without visiting the office. Consequently, the investment climate improved, marked by a 28% increase in permit applications and a 35% rise in investment value within two years. However, challenges remain, including uneven network infrastructure, low digital literacy, and limited human resource capacity. It is recommended to improve infrastructure, provide continuous training, and intensify socialization. In conclusion, E-TTSP has delivered tangible benefits, yet sustainable development is necessary to ensure equal and optimal services for all.

The phenomenon of growth in Indonesia’s beauty industry has intensified competition among both global and local skincare brands, including Avoskin. This situation impacts consumer trust Instagram. Avoskin must compete to build brand trust amid the higher exposure and engagement dominance of global brands on social media. Challenges such as the presence of negative reviews and unfavorable consumer perceptions that lead to dissatisfaction represent significant threats to Avoskin’s ability to sustain brand trust. This study aims to determine the influence of electronic word of mouth and brand image of @avoskinbeauty toward brand trust. The research adopts a quantitative approach using the simple random sampling method, involving 400 active Instagram users as respondents. Data were collected through Google Forms and analyzed using IBM SPSS Statistics 30.. The T - test results show that Avoskin’s electronic word of mouth on Instagram has a positive and significant effect on brand trust, with a tcount greater than the ttable value (8.335 > 1.965) and significance < 0.001 < 0.05. Similarly, Avoskin’s brand image also has a positive and significant impact on brand trust, with a tcount greater than the ttable value (22.462 > 1.965) and significance < 0.001 < 0.05. The F - test results indicate that electronic word of mouth and brand image simultaneously have a significant effect on brand trust, with an Fcount greater than the Ftable value (870.240 > 3.02) and significance < 0.001 < 0.05. In conclusion, electronic word of mouth and brand image play essential roles in enhancing brand trust. The implication of this study is that skincare companies should continuously strengthen their digital presence, consistently manage their brand image, and actively facilitate and respond to electronic word of mouth, especially on social media platforms.

Absensi karyawan merupakan aspek penting dalam manajemen sumber daya manusia yang memengaruhi disiplin kerja serta akurasi administrasi dalam suatu organisasi. PT. Bahtera Komunikasi Kreatif saat ini masih menggunakan sistem absensi berbasis sidik jari yang belum terintegrasi dengan pengelolaan cuti seperti izin, cuti sakit, dan work from home (WFH), sehingga proses pencatatan dan pelaporan masih dilakukan secara manual dan berpotensi menimbulkan keterlambatan serta kesalahan administrasi. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem manajemen absensi dan cuti karyawan berbasis web yang lebih fleksibel, terintegrasi, dan mudah diakses. Metode penelitian yang digunakan meliputi observasi, wawancara, tinjauan pustaka, dan kuesioner, dengan pendekatan pengembangan sistem menggunakan model Software Development Life Cycle (SDLC) metode Waterfall. Sistem diimplementasikan menggunakan PHP Native, MySQL, serta teknologi web seperti HTML, CSS, JavaScript, dan Bootstrap, dengan dukungan HTML5 Geolocation API dan fitur kamera untuk validasi kehadiran. Pengujian sistem dilakukan menggunakan Black Box Testing dan User Acceptance Testing (UAT) untuk memastikan fungsi sistem berjalan dengan baik serta dapat diterima oleh pengguna. Hasil penelitian menunjukkan bahwa sistem mampu meningkatkan efisiensi, akurasi data, serta mempermudah monitoring dan pelaporan secara real-time dengan nilai UAT sebesar 4,45 yang termasuk kategori sangat baik. Selain itu, sistem yang dikembangkan juga mampu mengurangi ketergantungan pada proses manual serta meningkatkan transparansi dalam pengelolaan data kehadiran karyawan, sehingga dapat mendukung peningkatan kinerja operasional perusahaan secara keseluruhan.

The development of information technology encourages public service agencies to improve the quality of service through the use of integrated information systems. PERUM DAMRI Ende as a provider of passenger transportation services, still faces problems in delivering information on schedules, routes, fares, and vehicle data management that has not been optimally integrated, thus causing uncertainty for service users. This study aims to design and build a Passenger Transport Vehicle Information System at PERUM DAMRI Ende to improve fleet data management efficiency, route scheduling, and customer information access. The research method used is a case study with a qualitative descriptive approach. System development is carried out using the Waterfall method, which includes the stages of needs analysis, system design, implementation, testing, and maintenance. The system is built as a web-based application using the PHP programming language and a MySQL database, and tested using the Black-Box Testing method. The results of the study are expected to help PERUM DAMRI Ende manage vehicle and schedule data more effectively, improve service quality, and provide the public with greater convenience in obtaining passenger transportation information.

The digital transformation in Indonesia’s banking sector has significantly increased the use of digital banking services; however, it has not been fully accompanied by optimal customer trust. This study aims to examine the effect of perceived risk, data privacy protection, and digital service quality on customer trust, both partially and simultaneously. A quantitative approach was employed using survey data collected from 150 digital banking users in Indonesia. Data were analyzed using Structural Equation Modeling based on Partial Least Square (SEM-PLS). The results indicate that perceived risk has a negative and significant effect on trust, while data privacy protection and digital service quality have positive and significant effects on trust. Simultaneously, all variables significantly influence trust, with an R² value of 0.672, indicating strong explanatory power. Compared to prior studies, this research contributes novelty by integrating these three variables into a comprehensive model. The findings reveal that digital service quality is the most dominant factor influencing customer trust. This study concludes that enhancing customer trust requires an integrated approach through effective risk management, strengthened data protection, and continuous improvement in digital service quality.