Jurnal Publikasi Teknik Informatika ISSN: 2808-9367 (cetak), ISSN: 2808-8972 (online) diterbitkan oleh Universitas Sains dan Teknologi Komputer Semarang dan terbit 3 kali dalam setahun pada bulan Januari Mei dan September. JUPTI memuat naskah hasil-hasil penelitian di bidang Teknik Informatika, Teknik Komputer, Teknik Elektro.Jurnal ini terakreditasi SINTA 5 (Surat Keputusan Direktur Jenderal Pendidikan Tinggi, Riset, dan Teknologi Nomor 10/C/C3/DT.05.00/2025 tanggal 21 Maret 2025 tentang Peringkat Akreditasi Jurnal Ilmiah Periode I Tahun 2025) dimulai dari Volume 1 Nomor 2 Tahun 2022 sampai Volume 6 Nomor 1 Tahun 2027. JUPTI berkomitmen untuk memuat artikel berbahasa Indonesia yang berkualitas dan dapat menjadi rujukan utama para peneliti dalam bidang ilmu Teknik Informatika, Teknik Komputer, Teknik Elektro Indexed by : Journal Sponsors and Partners :
Universitas Sains dan Teknologi Komputer Semarang
Implementasi Konstanta ABCD pada Saluran Transmisi 150kV Berbasis ICT
Modern power systems rely on high-voltage transmission lines as the primary means of delivering energy from generating stations to load centers. In Indonesia, the 150 kV network serves as the backbone of regional interconnection, making accurate analysis essential to maintain voltage quality and minimize power losses. This study aims to analyze the performance of the 150 kV Payapasir–Mabar transmission line using the ABCD parameter approach based on the nominal-π model. The methodology involves calculating ABCD constants from technical line data and validating the results with real-time operational data obtained from the Information and Communication Technology (ICT) system. Two operating conditions are selected as case studies: normal load (07:00 WIB) and peak load (19:00 WIB). The results indicate that constants A and D are close to unity, reflecting system stability. Under normal load, GIS 1 delivered 34.82 MW with an efficiency of 97.6% and a voltage regulation of 0.79%, while GIS 2 achieved 97.38% efficiency with 0.52% regulation. At peak load, voltage regulation increased to 1.24% for GIS 1 and 1.22% for GIS 2, yet efficiency remained high at above 97.3%. The findings demonstrate that the ABCD parameters can serve not only as a theoretical framework but also as a predictive analysis tool to evaluate line performance, support dynamic monitoring, and facilitate rapid decision-making in maintaining the reliability of the 150 kV transmission network.
Copyright (c) 2025 Jurnal Publikasi Teknik Informatika https://creativecommons.org/licenses/by-sa/4.0
Kajian Literatur Instalasi Listrik pada Bangunan Cerdas Berbasis IoT untuk Efisiensi Energi
Electrical installations in smart buildings have evolved significantly from conventional systems to Internet of Things (IoT)-based systems that emphasize energy efficiency, adaptability, and environmental sustainability. This study reviews literature from the past six years in Indonesia, focusing on aspects of installation design, monitoring systems, automation, and the application of sensor and microcontroller technologies to achieve energy efficiency. Various studies indicate that the implementation of IoT in electrical systems enables real-time monitoring of power consumption, automatic load control, and integration with centralized energy management systems. This technology not only enhances user comfort but also reduces operational costs and supports energy sustainability through electricity savings of up to 50%. Moreover, the use of wireless networks and smart sensors in modern buildings can identify abnormal energy consumption patterns and provide early warnings for potential failures or energy leakage. The implementation of such systems contributes to realizing the smart building concept that is efficient, safe, and environmentally oriented. Therefore, IoT-based electrical installations hold great potential for widespread application in supporting national energy efficiency initiatives and promoting sustainable development in the digital era.
Peran Website dalam Meningkatkan Citra dan Branding Sekolah
This study explores the role of school websites in shaping institutional image and branding in the digital era. Using a descriptive qualitative approach through a structured literature review, the research synthesizes national and international publications from 2020–2025 related to educational websites, institutional reputation, and school branding. Data were obtained through systematic database searches and document selection using purposive and snowball techniques. Thematic analysis identified three core insights: (1) website design and quality serve as representations of institutional identity, (2) authentic and communicative digital content enhances public engagement, and (3) stakeholder trust is shaped by the transparency, completeness, and timeliness of website information. These findings affirm the strategic importance of school websites in branding practices and emphasize the need for professional digital information management. Theoretically, the study integrates brand identity and website quality into the discourse on educational branding, while practically offering guidance for schools to develop credible, user-centered websites. Further research is recommended to examine user experiences directly.
Pemanfaatan Sistem Informasi Manajemen dalam Meningkatkan Efisiensi Operasional UMKM: Studi Kualitatif di Kantin Universitas Pamulang Viktor
This study investigates the effectiveness of Management Information System (MIS) implementation in enhancing operational efficiency among Micro, Small, and Medium Enterprises (MSMEs) at Kantin Universitas Pamulang Viktor. Employing a qualitative approach with descriptive analysis, this research collected primary data from 50 MSME respondents through structured interviews and observation. The findings reveal that 58% of MSMEs have adopted various forms of MIS, including Digital POS systems (34.5%), accounting applications (24.1%), spreadsheet tools (24.1%), and QRIS payment systems (17.2%). Quantitative analysis demonstrates that MSMEs utilizing MIS achieved significantly higher daily revenue (Rp1,047,931) compared to non-adopters (Rp784,762), representing a 33.5% increase. Furthermore, MIS-adopting businesses recorded higher daily customer counts (42.3 customers) versus non-adopters (29.8 customers), indicating improved service efficiency. The study identifies key benefits including streamlined transaction processing, accurate financial recording, and enhanced customer service quality. However, challenges such as limited digital literacy, initial investment costs, and technological adaptation remain significant barriers. This research contributes to the understanding of digital transformation in traditional food service MSMEs and provides practical recommendations for policy makers and MSME practitioners in accelerating digital adoption within campus-based economic ecosystems.
Copyright (c) 2026 Jurnal Publikasi Teknik Informatika https://creativecommons.org/licenses/by-sa/4.0
Model Perancangan Sistem Informasi Pengelolaan Perpustakaan di SMAN 1 Maniis Menggunakan Metode UML
This research aims to design and build a stevedoring workforce information system (TKBM) application using the Extreme Programming method. Currently, the process of recording attendance, scheduling, and assigning tasks is still done manually, which often results in errors and administrative delays. The application was developed using the Flutter framework using the Dart language and a MySQL database, to replace conventional paper-based and spreadsheetbased methods that are inefficient. This system makes it easier for officers to record attendance, manage payslips, and convey information about ships that will dock. Using the Extreme Programming approach, development was carried out iteratively and responsive to user needs. Test results show that the application improves work efficiency, reduces recording errors, and speeds up the TKBM administrative process. It is expected that this system can improve port operations more organized and encourage a significant increase in workforce productivity.
Penerapan Metode PCA dan Apriori dalam Deteksi Pola Penggunaan Internet Dikalangan Mahasiswa
University students generate extensive digital footprints that form complex, high-dimensional datasets reflecting diverse patterns of online behavior. Understanding these patterns requires analytical methods capable of handling large and interrelated variables. This study aims to map internet usage trends among university students using an integrated approach that combines Principal Component Analysis (PCA) and the Apriori Algorithm. PCA is employed to reduce data dimensionality by identifying the most influential components and eliminating redundant information, thereby simplifying the dataset without losing essential characteristics. Subsequently, the Apriori Algorithm is applied to uncover association rules that describe relationships between different types of digital activities. Data were collected through structured questionnaires distributed to active university students, capturing various aspects of their internet usage behavior. Through this combined methodology, the study seeks to identify the main factors that shape students’ digital habits and to reveal hidden behavioral patterns that may not be evident through conventional analysis. The expected results will provide a clearer understanding of how students interact with digital platforms and online resources. Ultimately, the findings are intended to serve as an empirical basis for designing more effective, data-driven digital literacy programs and strategies in higher education environments.
Pengaruh Dinamika Harga Item Digital terhadap Stabilitas Ekonomi di Marketplace Game Online
The digital economy has transformed online games into complex virtual markets, where digital items hold real monetary value. This price volatility raises concerns about the stability of the virtual economy. This study analyzes the impact of digital goods price dynamics on economic stability in online game markets and identifies key factors contributing to instability. A quantitative approach with an explanatory design was used, collecting data through a survey of 150 active online game players who transact digital items. Multiple linear regression was employed to assess the effects of price volatility, asset scarcity, and transaction volume on economic stability. The results indicate that price volatility negatively affects virtual economic stability (β = −0.47; p < 0.05), while asset scarcity (β = 0.32; p < 0.05) and transaction volume (β = 0.41; p < 0.01) positively impact stability. These findings suggest that uncontrolled price fluctuations reduce purchasing power and player confidence, while proper scarcity management and high transaction liquidity help stabilize the virtual economy. The study recommends that game marketplace developers implement price stabilization mechanisms, such as price floors and ceilings, regulate digital goods supply, and enhance transaction transparency and frequency to foster a stable, fair, and sustainable virtual economy.
Perancangan Website Profil dan Layanan Informasi Inspektorat Provinsi Sumatera Utara
The Inspectorate of North Sumatra Province plays a strategic role in ensuring internal government supervision, strengthening accountability, and supporting the implementation of good governance. However, limitations in integrated digital platforms have caused public information delivery to be less effective and difficult for users to access. This study aims to design and develop a Profile and Information Service Website for the Inspectorate of North Sumatra Province as a digital solution that provides institutional profiles, organizational structure, employee data, news updates, and public information request services in a structured and user-friendly manner. The system was developed using the Waterfall method, which includes requirement analysis, system design, implementation, and testing phases. The implemented system successfully delivers an informative interface that aligns with user needs and supports easy access to all main features. Blackbox testing results confirm that the system behaves as expected, with all functionalities—such as accessing profiles, viewing information centers, and submitting information requests—operating without errors. This website is expected to enhance transparency, improve public information services, and strengthen the Inspectorate’s communication with stakeholders. Future development may include integrating public complaint services, enhancing data security, and improving mobile responsiveness to support a broader and more efficient user experience.
Optimasi Artificial Neural Network untuk Klasifikasi Gaya Belajar Mahasiswa Menggunakan Model Visual, Auditori, dan Kinestetik (VAK)
This study proposes an optimized Artificial Neural Network (ANN) framework for the automatic classification of student learning styles based on the Visual, Auditory, and Kinesthetic (VAK) model to support educational personalization. The system utilizes data from a 36-item questionnaire, which are preprocessed using z-score standardization and encoded into numerical features. Several ANN configurations were evaluated to examine the influence of network depth, activation functions, regularization strength (λ ranging from 1 × 10⁻⁴ to 1 × 10⁻²), and the number of training iterations between 500 and 2000. Model training employed the Adam optimizer combined with early stopping to ensure stable and efficient convergence. The results demonstrate that proper data standardization and suitable regularization significantly enhance model generalization and training stability. The optimal model consists of two hidden layers with 64 and 32 neurons using ReLU activation and λ = 1 × 10⁻², achieving an accuracy of 91.9% and a macro-F1 score of 0.908. Overall, systematic hyperparameter optimization improves the robustness and reliability of ANN-based learning style classification for adaptive learning systems.
Perancangan Prosthetic Hand Berbasis ESP32 dengan Sistem Kendali Nirkabel Real-Time untuk Penyandang Tunadaksa
Individuals with physical disabilities, particularly those with impaired hand function, require assistive devices that can support daily activities independently. However, the development of prosthetic hands is often constrained by high costs, complex control systems, and limited accessibility of affordable technology. This study aims to design and implement an ESP32-based prosthetic hand with a real-time wireless control system that is simple, stable, and cost-effective. The proposed system employs an ESP32 and Arduino Uno as controllers, a hall effect linear sensor integrated in an electric bicycle throttle as the control input, and servo motors as finger actuators. System performance was evaluated through servo angle accuracy tests, object grasping and lifting experiments, and Quality of Service (QoS) analysis of wireless communication using Wireshark. Experimental results indicate that the system accurately follows commanded servo angles, successfully grasps objects with diameters ranging from 5.5 cm to 12 cm, and lifts loads up to 500 ml at heights between 10 cm and 50 cm. QoS evaluation conducted over 19,150 seconds shows a throughput of 1,737.59 kbps, an average delay of 4.572 ms, jitter of 4.571 ms, and zero packet loss, demonstrating fast and stable real-time communication. These results confirm that the developed prosthetic hand is responsive and functional, and has strong potential for further development as an affordable IoT-based assistive technology for individuals with physical disabilities.
Inovasi Manajemen Penyiaran dan Peliputan Jurnalisme Modern di Tengah Perkembangan Media Sosial Digital Nasional Terkini
This study examines innovation in broadcasting management and modern journalism coverage amid the rapid development of national digital social media in Indonesia. Digital transformation has compelled broadcasting media and journalism institutions to adapt to changes in public information consumption patterns that are increasingly fast, interactive, and platform-based. This study aims to analyze forms of innovation in broadcasting management as well as modern journalism coverage strategies implemented by national media in utilizing social media as channels for news production and distribution. The research employs a qualitative approach through a literature study of national academic journals and conceptual analysis of contemporary digital media practices. The findings indicate that innovations in broadcasting management are reflected in media convergence, the adoption of digital technologies, data-driven newsroom management, and cross-platform collaboration. Meanwhile, modern journalism coverage is characterized by rapid news production, the use of multimedia content, audience engagement, and emerging ethical and accuracy challenges in the digital environment. This study concludes that innovation in both broadcasting management and modern journalism practices is a crucial factor for the sustainability and competitiveness of national media in the era of digital social media.
Analisis Penggunaan Cement Deep Mixing (CDM) pada Proyek Proving Ground BPLJSKB Kabupaten Bekasi
The Proving Ground Project of BPLJSKB Bekasi is a strategic infrastructure development aimed at improving vehicle quality, safety, and performance. The main challenges in this project is the low bearing capacity of the subsoil, particularly in the High Speed Oval zone at STA 2+840–2+980, which may lead to excessive settlement and structural instability. To address this issue, a soil improvement technique using Cement Deep Mixing (CDM) was implemented. This study aims to evaluate the effectiveness of CDM in enhancing soil strength and stability in the specified zone. A case study approach was employed by collecting primary and secondary data, including geotechnical investigation data, construction records, and laboratory and field test results before and after CDM implementation. The results indicate that the application of CDM significantly improves soil strength parameters, with an average increase of approximately 30% compared to the initial condition. In addition, CDM effectively reduces potential ground settlement and enhances slope stability in the project area. These findings demonstrate that Cement Deep Mixing is a reliable and sustainable ground improvement method for infrastructure projects constructed on soft soils. Therefore, CDM is recommended for similar projects requiring high structural performance and long-term stability.
Sistem Pakar Diagnosa Penyakit Kulit menggunakan Metode Certainty Factor dan Forward Chaining
This study focuses on developing an expert system for diagnosing skin diseases using the Certainty Factor and Forward Chaining methods. The increasing prevalence of skin diseases and the similarity in symptoms among different conditions make accurate initial diagnoses challenging without expert help. Expert systems are valuable in supporting early medical decisions and improving public access to diagnostic information. The study aims to diagnose skin diseases based on symptoms while considering the uncertainty in medical decision-making. The novelty of the study lies in integrating the Certainty Factor method to quantify confidence in diagnoses with the Forward Chaining inference mechanism, which processes symptom-based rules. A rule-based expert system approach is used, with data on symptoms and diseases gathered from literature and expert knowledge. Forward Chaining serves as the inference engine, while the Certainty Factor method calculates the certainty level of diagnoses based on user-selected symptoms. The results show that the expert system can accurately diagnose skin diseases and provide a certainty value aligned with expert opinions. The combination of Certainty Factor and Forward Chaining enhances the clarity and reliability of the diagnosis. The study concludes that the proposed system effectively supports the initial diagnosis of skin diseases by providing diagnostic results along with a certainty level.
Proses Produksi Program Radio dan Televisi Berbasis Kreativitas serta Pemasaran Media di Indonesia
This research discusses the production process of radio and television programs in Indonesia that is based on creativity and its relationship with media marketing strategies in responding to the dynamics of the contemporary broadcasting industry. Technological developments, changes in audience behavior, and increasing competition among media organizations require broadcasters to produce content that is innovative, relevant, and commercially valuable. This research uses a qualitative descriptive approach through literature review and conceptual analysis of radio and television production practices in Indonesia. The results show that creativity plays a crucial role at every stage of production, starting from concept development, content packaging, to program distribution across multiple platforms. In addition, media marketing strategies are essential in expanding audience reach and strengthening program competitiveness, particularly through the use of digital media and media convergence. The synergy between production teams and marketing teams enables the creation of broadcast programs that are not only artistically appealing but also effective in achieving commercial objectives. This research is expected to serve as an academic and practical reference for broadcasting practitioners in developing creative, adaptive, and sustainable radio and television programs in the digital era.
Implementation of the TOPSIS Method for Determining Raw Material Selection at Mooi Cake Simpang IV Sipin Branch
The development of the culinary industry, particularly in bakery and cake shop businesses, requires companies to maintain consistent product quality while managing production costs efficiently. One important factor influencing production performance is the proper selection of raw materials. Mooi Cake Simpang IV Sipin Branch faces challenges in determining the best raw materials due to the availability of several suppliers with different characteristics, while the selection process is still conducted manually and tends to be subjective. Therefore, this study aims to apply the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method within a decision support system to support objective and structured decision making. This research uses a quantitative approach with a decision support system method. Data were collected through observation, interviews, and literature review, then analyzed using the TOPSIS method by considering six criteria, namely price, quality, delivery timeliness, raw material availability, supply consistency, and supporting criteria. The analysis stages include constructing a decision matrix, normalizing data, weighting criteria, determining positive and negative ideal solutions, calculating distances, and determining preference values and rankings. The results show that the TOPSIS method produces clear and easily understood preference values, making it easier for management to select the most suitable raw materials. Based on the results, Raw Material 2 obtained the highest preference value and is recommended as the best alternative for Mooi Cake Simpang IV Sipin Branch. The implementation of the TOPSIS method is expected to reduce subjectivity, improve decision-making effectiveness, and support operational efficiency and product quality improvement.
Geospatial Artificial Intelligence for Flood Disaster Mapping in Sumatra: A Review of Machine Learning Models, Data, and Computational Workflows
Flood disasters pose persistent socio-economic and environmental challenges, particularly in tropical regions such as Sumatra, Indonesia. Traditional hydrological and GIS-based approaches often struggle to capture complex interactions among terrain, rainfall, land use, and human activities. This review critically examines recent applications of Geospatial Artificial Intelligence (GeoAI) for flood disaster mapping, focusing on machine learning models, geospatial data sources, and computational workflows. Analysis of selected studies highlights that satellite imagery and digital elevation models remain dominant data inputs, while Random Forest, Support Vector Machines, Convolutional Neural Networks, and hybrid models are most frequently applied. Workflow patterns reveal recurring stages of data preprocessing, model training, and post-processing, yet gaps persist in model explainability, feature selection, and generalization across regions. The study underscores the importance of integrating multi-source data, standardizing workflows, and fostering interdisciplinary collaboration to enhance operational flood risk management. Findings provide a foundation for advancing GeoAI research and translating methodological innovations into practical flood preparedness and mitigation strategies.
Sistem Pengontrol Lampu Smart Home Berbasis Android dengan Arduino Uno dan Relay 5V
The rapid development of technology has encouraged the creation of automated systems to improve efficiency and convenience in daily life, especially in controlling electrical devices. This study aims to design and implement a smart home light control system based on Android using Arduino Uno and a 5V relay, with Bluetooth communication as the interface between the smartphone and the microcontroller. The research method includes hardware design, software development, and system testing. The system was tested for its ability to receive ON and OFF commands from the Android application, the responsiveness of the relay, and the stability of Bluetooth communication within a range of approximately 10 meters. The results show that the system can control the lamp effectively and reliably, with fast response time and minimal communication errors. This implementation demonstrates a practical, low-cost solution for home automation, providing convenience, energy efficiency, and flexibility for users. The findings suggest that such systems can be further developed to include multiple lamps or integrated with IoT networks for enhanced smart home applications.
Pengaruh Penggunaan Aplikasi Quizizz Mobile terhadap Motivasi Belajar Siswa di Era Pembelajaran Digital
The rapid development of digital technology has promoted the use of mobile-based learning applications as supportive tools in the learning process. One widely used application is Quizizz Mobile, which provides interactive, game-based quizzes to engage students in learning activities. This study aims to examine the effect of using the Quizizz Mobile application on students’ learning motivation during the digital learning period. The research adopts a quantitative approach with an associative analytical survey design. The sample consists of 33 students selected through purposive sampling. Data were collected using a Likert-scale questionnaire to measure students’ perceptions and motivation levels. The collected data were analyzed using descriptive statistics, percentage analysis, and simple linear regression techniques. The results show that the use of Quizizz Mobile has a positive and statistically significant influence on students’ learning motivation. Students reported higher interest, engagement, and enthusiasm when learning activities were conducted using the application. Based on these findings, Quizizz Mobile can be considered an effective digital learning medium that supports interactive learning and enhances students’ motivation, particularly in technology-based learning environments.
Implementasi Metode SAW dan Topsis untuk Menentukan Urgensi Pengaduan Masyarakat Berbasis Web di Kelurahan Manggarai
The high number and variety of reports received by the sub-district office often result in a backlog of work and subjective assessments in determining the priority of handling. Thisl study focusesl on thel design andl implementation ofl a Decision Support Systeml (DSS) that aims to ensure an objective and systematic evaluation of the urgency of reports, thereby accelerating the decision-making process. This system integrates two Multicriteria Decision Making (MCDM) methods in a step-by-step sequence. The first step involves the application of thel Simple Additivel Weighting (lSAW) lmethod, withl the criterial of Report Type, Short-Term Impact, and Handling Level serving as an initial screening mechanism; reports that obtain a total SAW score below the threshold of 0.8 will automatically not be prioritized. After that, the second stage usesl the Techniquel for Orderl Preference byl Similarity tol Ideal Solutionl (lTOPSIS) methodl on reports that have passed the initial selection, with the criteria of Impact on Society and Level of Danger, to determine the final prioritization order. Thel test resultsl show thatl the combinationl of SAW andl TOPSIS is very effective in classifying reports with high accuracy and efficiency, separating urgent reports that require immediate handling. Itl is hopedl that thel implementation ofl this systeml can improve the efficiency and performance response of the sub-district, and significantly improve the quality of public services.
Perbandingan Kinerja Algoritma Naive Bayes dan K-Nearest Neighbors untuk Analisis Sentimen Ulasan Aplikasi Lazada Menggunakan Python
The rapid growth of e-commerce in Indonesia has led to an increasing number of user reviews shared across various digital platforms, including the Lazada application. These textual reviews contain valuable insights into user satisfaction and experiences but have not been fully utilized for automated sentiment analysis. This study aims to compare the performance of the Naïve Bayes and K-Nearest Neighbor (KNN) algorithms in classifying user sentiment from Lazada reviews collected from the Google Play Store.The data preprocessing stages include text cleansing and case folding, tokenization, stopword removal, and stemming using the Sastrawi library. The cleaned text data were then transformed into numerical representations using the Term Frequency–Inverse Document Frequency (TF-IDF) method before classification. Model performance was evaluated using 10-Fold Cross Validation based on four key metrics: accuracy, precision, recall, and F1-score.The experimental results indicate that the Naïve Bayes algorithm achieved superior performance with an accuracy of 89.56%, precision of 89.53%, recall of 89.56%, and an F1-score of 89.53%. In contrast, the K-Nearest Neighbor (KNN) algorithm obtained an accuracy of 73.22%, precision of 75.21%, recall of 73.22%, and an F1-score of 65.64%. These findings suggest that Naïve Bayes demonstrates higher effectiveness and stability in classifying user sentiment on Lazada reviews compared to the KNN algorithm.
Pengujian Performa, Tingkat Stres, dan Keamanan pada Website Sekolah Menengah Atas Negeri (SMAN) Kabupaten Buleleng
The use of information technology in the education sector has become an unavoidable necessity, particularly through the use of school websites as digital information service centers for students, teachers, parents, and the general public. School websites serve not only as a medium for conveying information but also as a means of communication, transparency, and support for academic activities. To optimally fulfill these roles, a website must be able to deliver good performance, fast access, high stability when there is an increase in the number of visitors, and adequate security to protect user data and activities. In Buleleng Regency, 17 state senior high schools (SMAN) have utilized official websites as part of their information services and digital administration needs. However, increased traffic, especially during certain times such as new student admissions or school announcements, often triggers high workloads (stress) on servers. This condition has the potential to reduce response speed, hinder user access, and even open up opportunities for security threats such as DDoS attacks and hacking attempts. This study aims to evaluate the technical performance, load resilience, and security aspects of the websites of senior high schools in Buleleng Regency using three automated testing tools: GTMetrix, LoadImpact K6.io, and OWASP ZAP Scan. This approach draws on previous research on website performance measurement, load testing, and user experience. The evaluation results are expected to provide a comprehensive overview of the actual condition of school websites and generate strategic recommendations to improve system speed, stability, and security. Furthermore, the findings from this testing serve as a basis for developing improvement measures so that school websites in Buleleng Regency can support digital education services more optimally, responsively, and securely.
Mengelola Proses Peliputan Berita untuk Media Radio, TV, dan Daring
The development of information technology has brought significant changes in journalism practices and mass media management, particularly in radio, television, and online media. These changes have led to increased competition between media outlets and demands for ever-increasing speed in information delivery. This situation necessitates the implementation of effective editorial management to maintain news quality and credibility. This study aims to examine the implementation of news coverage and broadcasting management in radio, television, and online media, and to analyze the influence of differences in media characteristics on editorial management strategies. The study used a qualitative descriptive approach with a literature study method through analysis of various relevant literature sources. The results of the study indicate that editorial management plays a crucial role in controlling news quality through the implementation of planning, organizing, implementing, and monitoring functions. The differences in the characteristics of radio, television, and online media influence the process of managing news coverage, both at the pre-production, production, and post-production stages. Therefore, adaptive and systematic editorial management is a key factor in maintaining journalistic professionalism and public trust in the mass media.
Evaluasi Tingkat Kesulitan Mahasiswa Universitas Stella Maris Sumba dalam Memahami Teknologi Informasi
The growth of information technology (IT) has become a significant foundation in the world of learning, especially in higher education. IT mastery skills are not only needed to support the educational process, but also to prepare students to face the demands of the world of work. Identifying how students understand information technology. Identifying factors that influence students' difficulties. Providing solution recommendations to improve students' understanding of Information Technology (IT). This study uses a descriptive qualitative approach. This approach was chosen because it aims to describe in depth the phenomena experienced by students, especially related to difficulties in understanding information technology. Data were collected through questionnaires and analyzed using descriptive statistical techniques. This shows that the level of students' understanding of information technology such as; reactions (74.2%) is the most dominant factor, while learning (70.6%) and results show (67.3%) then the level of students' understanding of information technology (67.3) so that there are still obstacles to students' understanding of information technology. need to improve the quality and learners related to the level of student understanding.
Digitalisasi Pengelolaan Pojok Baca Kelas melalui Penerapan Senayan Library Management System (SLiMS) di RA Ulul Albab Kaliwates Jember
The management of the classroom reading corner at RA Ulul Albab Kaliwates Jember was previously conducted manually, resulting in disorganized book records, duplication, and data loss. This condition hindered the effectiveness of the reading corner as a medium for fostering early literacy habits. To address this issue, this study aims to digitalize reading corner management through the implementation of the Senayan Library Management System (SLiMS) to create a centralized, efficient, and accurate data recording system. This research employs an action research method using the Kemmis & McTaggart model, which consists of four stages: planning, acting, observing, and reflecting. The research subjects include school administrators, teachers, and students of RA Ulul Albab. Data were collected through observation, interviews, questionnaires, and documentation, and analyzed both qualitatively and quantitatively using descriptive methods. The results show that SLiMS successfully improved the organization and accuracy of book records, increased data processing efficiency up to fivefold, and enhanced administrative transparency. Each book now has a digital identity that can be easily accessed through the system, facilitating supervision and reporting. Overall, the digitalization of the reading corner using SLiMS proved effective in strengthening digital literacy management and administrative efficiency in early childhood education institutions.
Rancang Bangun Alat Monitoring Level Air Toren Berbasis Arduino Uno R3 dan HC-SR04
Water is an essential resource for human life; however, it is also a limited natural resource that requires proper management, particularly in daily household usage. One common problem encountered is the overflow of water storage tanks (toren) due to negligence, as their elevated placement often makes direct monitoring difficult. This study presents the design and development of an Internet of Things (IoT)-based water level monitoring system for household water tanks using an Arduino Uno R3 microcontroller and an HC-SR04 ultrasonic sensor. The system is designed to measure the water level in real time and display the results on a 16×2 LCD screen. Additionally, visual indicators in the form of red, yellow, and green LEDs are implemented to represent low, medium, and high water levels, providing an intuitive warning system for users. The proposed system aims to prevent water wastage caused by tank overfilling and to improve efficiency in water resource management. Experimental testing shows that the device operates reliably and responsively under various water level conditions. The measurement results indicate that the system is capable of detecting water level changes with an accuracy of approximately ±1 cm. Overall, this monitoring tool offers a simple, low-cost, and effective solution for automatic water level detection and household water conservation.
Sistem Absensi Apel Pagi Dosen dan Staf STIKES Hang Tuah Surabaya Berbasis Web
Morning roll call is an important routine activity to improve discipline and cooperation on campus. Attendance recording during morning roll call, which is currently carried out manually by officers, has the potential to cause errors and requires time for recapitulation. This study aims to design and develop a web-based morning roll call attendance system for lecturers and staff at STIKES Hang Tuah, with a focus on simplifying the attendance recording process, speeding up reporting, and improving the accuracy of morning roll call attendance data. This system is built using web-based technology that allows officers to take attendance digitally, easily and quickly during morning roll call. This research is R&D research with a development process that refers to the AGILE method development stages. The development stages include the plan, design, develop, testing, deploy, review, and launch stages. The results of the study show that this system is capable of automating morning roll call attendance recording, providing attendance reports that can be accessed in real-time, and minimizing the potential for data errors or manipulation. With this web-based attendance system, it is hoped that the morning roll call attendance process will become more efficient, transparent, and can improve discipline among lecturers and staff at STIKES Hang Tuah Surabaya.
Augmented Reality Sebagai Media Edukasi Interaktif untuk Mengenali Jenis Ikan Konsumsi pada Siswa Sekolah Dasar
This study aims to develop an interactive learning media using Augmented Reality (AR) to support the introduction of edible fish species for fourth-grade students at SD MIS Adabiyah 02 Palembang. The media is designed to provide an engaging and enjoyable learning experience through the use of marker-based AR technology that can be operated on Android Devices. Fish objects are visualized in three-dimensional (3D) form, allowing students to view and interact with them directly through the camera.The development method used in this study is the Rational Unified Proxess (RUP), which consist of four phases: inception, elaboration, construction, and transition. The design process involves 3D object modelling using Blender 3D and AR integration through Unity and Vuforia SDK. The results of this study are expected to help students better understand the material related to various type of edible fish. The usability using the System Usability Scale (SUS) resulted in an average score of 90 from 31 respondetns, indicating that the appliacation has an excellent level of usability and feasibility.
Sistem Pendukung Keputusan Siswaterbaik di SMP 101 Jakarta Barat Menggunakan Metode SAW
Sebagai hasil evaluasi belajar siswa selama 1 tahun perlu dilakukan pemilihan siswa terbaik saat menjelang kenaikan kelas. Kegiatan ini dilakukan untuk dapat menghargai prestasi yang diperoleh oleh siswa/i di sekolah, yang akan berdampak pada semangat siswa/i untuk peningkatan nama baik sekolah dan meningkatkan prestasi diluar sekolah. Terdapat beberapa masalah yang dihadapi SMP 101 Jakarta Barat dalam pemilihan siswa terbaik yang biasanya dilakukan pada menjelang kenaikan kelas. Kendala bagi pihak sekolah dalam mengambil keputusan, dimana dalam membuat keputusan siswa terbaik masih menggunakan klasifikasi manual, dikarenakan banyak kriteria yang perlu dipakai dalam pemilihan. Pemilihan kriteria yang tidak tepat dapat memberikan penilaian yang kurang objektif bagi calon siswa terbaik yang akan dipilih, maka diperlukan suatu Sistem Pendukung Keputusan (SPK) yang dapat membantu dalam pengambil keputusan. Tujuan penelitian ini adalah sebagai alternatif sekolah untuk menentukan siswa terbaik tidak hanya berdasarkan nilai akademik saja, agar pemilihan menjadi lebih objektif berdasarkan kriteria penilaian baru yang relevan dan perhitungan bobot yang diberikan dalam sistem. Metode yang akan digunakan adalah Metode Simple Additive Weighting (SAW), dengan menyediakan kriteria- kriteria tertentu, maka yang memiliki rata-rata bobot nilai akhir terbesar akan menjadi keputusan akhir untuk kelayakan dalam pemilih siswa/i terbaik. Dari hasil perhitungan dengan metode SAW didapatkan oleh siswa Bernama Alycka Aprilya Kurniawan dengan nilai preferensi 97,0.
Identifikasi Penyakit Daun Mangga Menggunakan Teknik Pengolahan Citra dan Convolutional Neural Network
The detection of diseases in mango leaves is a significant challenge in Indonesia’s agricultural sector, as it directly affects both the quality and quantity of crop yields. This study aims to develop an image-based classification system for mango leaf diseases using Convolutional Neural Network (CNN) architectures, namely VGG16 and Xception. The dataset used in this research consists of two different datasets. The first dataset includes two classes, healthy and diseased leaves, while the second dataset comprises three classes: Jelangga Fungus, Chlorosis, and Healthy. Data augmentation techniques and the Adam optimizer were applied to enhance model performance. Model evaluation was conducted using a confusion matrix along with precision, recall, and F1-score metrics. The experimental results indicate that VGG16 consistently achieves the best performance, with an accuracy of up to 100% in the two-class classification scenario and 99% in the three-class classification scenario. These findings demonstrate that CNN architectures, particularly VGG16, are effective and reliable for classifying mango leaf diseases based on digital images.
Klasifikasi Penyakit pada Daun Padi Menggunakan Teknik Pengolahan Citra dan Convolutional Neural Network
Rice cultivation plays a crucial role in national food security, but is often hampered by leaf disease attacks that significantly impact production decline. To address this challenge, this study designed an application based on the Convolutional Neural Network (CNN) algorithm to classify rice leaf diseases automatically and accurately. Data collection was conducted through direct observation at Gapoktan (Farmer Group Association) in Kuningan Regency, interviews with farmers, literature studies, and system development using the Rapid Application Development (RAD) approach, which enables rapid and structured application development. The CNN model was tested using 480 sample images and achieved a high accuracy of 97.75%. The F1-Score values ​​obtained were 0.97 for Brown Spot, 0.921 for Blast, 0.871 for Hispa, and 0.952 for healthy leaves. These results indicate that the application is capable of early disease detection, enabling farmers to take immediate preventive measures to minimize crop losses. To improve performance, it is recommended to apply optimization techniques to the CNN model, such as dataset expansion, various dataset augmentation techniques, and evaluation of high-complexity images. Development into other disease classifications is also highly potential. Overall, this application has significant potential to support digital agriculture and realize a more sustainable and modern rice farming system.