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The rapid expansion of internet usage has led to a significant increase in cybersecurity threats, particularly phishing attacks delivered through malicious links. Phishing links are designed to imitate legitimate websites in order to deceive users and steal sensitive information. This study presents the implementation of a phishing link detection website based on SSL validation and URL scoring mechanisms. The proposed system integrates heuristic-based URL analysis with real-time SSL certificate validation obtained through the SSL handshake process. Digital certificates are verified using RSA-based digital signature verification issued by trusted Certificate Authorities (CAs). In addition, the SHA-256 hash algorithm is employed to generate certificate fingerprints and URL hashes to ensure data integrity and uniqueness. The system also evaluates HTTPS usage, domain and certificate consistency, certificate validity period, and RSA public key strength. All validation results are processed using a URL scoring system to generate a security score ranging from 0 to 100, which classifies links into safe, suspicious, or dangerous categories. Experimental results demonstrate that the proposed website is capable of effectively identifying phishing indicators and providing transparent cryptographic evidence in real time. This approach can assist users in making informed decisions and improving protection against phishing threats in web environments.

Android continues to innovate, and biometric systems particularly fingerprint sensors must operate with high efficiency. However, the main challenge lies in the communication between hardware and software, which often causes high latency, excessive power consumption, and protocol incompatibility between components. As a result, authentication speed decreases and system stability is compromised, especially on mid- to low-range devices. This study explores various implementations of Android-based fingerprint systems, focusing on how sensor modules interact with the microcontroller or Trusted Execution Environment (TEE) and the operating system through a hardware-software co-design approach to evaluate integration efficiency across all layers. The analysis reveals that conventional protocols such as Bluetooth or serial connections still cause delays, while improvements in drivers and the Hardware Abstraction Layer (HAL) can significantly reduce latency. As a solution, the researchers propose a co-design optimization approach that utilizes data flow normalization within the HAL and adopts lightweight communication protocols to accelerate the verification process. Based on the test results, this approach successfully improves efficiency—authentication time is reduced by up to 35% and power consumption decreases by approximately 15%. Therefore, the efficiency of communication between hardware and software becomes a key factor in enhancing the performance and reliability of fingerprint systems on Android devices.

Conventional attendance systems often face various problems such as inefficiency, inaccuracies in attendance logging, and limitations in recapitulation processes. Manual systems are prone to human error and time-consuming, while fingerprint-based systems may fail when the sensor is affected by dirty, wet, or damaged fingers. This study aims to develop an attendance system based on Artificial Intelligence (AI) by utilizing the face_recognition function in Python and implementing a microservice architecture to improve efficiency and accuracy in attendance recording. The system is developed using the Agile Feature-Driven Development (FDD) method, which focuses on building system features based on prioritized business values. This method is applied within the Software Development Life Cycle (SDLC) to ensure a structured, iterative, and user-oriented development process. Facial recognition is performed by comparing the encoding of the captured face image with the data stored in the database. The results show that the system is capable of recording attendance automatically, accurately, and in real-time. Furthermore, the recapitulation process becomes more efficient as the system manages and presents the data systematically.

The development of information technology has encouraged institutions, including hospitals, to adopt digital systems to improve operational efficiency. One important aspect is the employee attendance system, which previously relied on fingerprints. This method has limitations, such as difficulty detecting when fingers are not in ideal condition and causing queues during peak hours. This research aims to design and implement an Android-based attendance system using the Eigenface facial recognition method as a faster, safer, and more accurate alternative. Eigenface works by extracting facial features using Principal Component Analysis (PCA), thus being able to efficiently recognize individual identities. The system was developed with MySQL database integration and tested on employees of Khalishah General Hospital. The implementation results showed that the system can recognize faces with a good level of accuracy and increase the effectiveness of attendance recording. Furthermore, the use of facial-based attendance can minimize the potential for fraud and increase user comfort because it does not require physical contact. Thus, the Eigenface method has proven feasible to be implemented as a modern attendance solution to support employee attendance management in hospital work environments and other institutions.

Ekas Bay has very rich fishing potential, especially for the red snapper species (Lutjanus spp.). This study aims to determine the effect of mesh size of gill nets on catch and determine the mesh size that is more effective for catching Red Snapper (Lutjanus spp.) measures above 300 grams in the waters of Ekas Bay, East Lombok. This research was carried out in the waters of Ekas Bay, East Lombok from June to August 2025. This research method uses an experimental method that distinguishes three treatments with nine replications, using a Group Random Design (RAK). The data collection techniques in this study are observation, active participation, and interviews. Then analyzed using multiple fingerprint analysis (ANOVA). If the effect is real or very real, the effect can be seen by using the smallest real difference test (BNT), after that the BNT value is compared to the average value of the treatment. The results of the study showed that the use of different mesh sizes had a very real effect on the catch of red snapper. The 4-inch mesh proved to be the most effective with 65% of the fish caught being ≥300 grams in size, while the 3-inch mesh was 30% and the 2-inch mesh was only 5%. Thus, the use of larger mesh can increase selectivity for adult fish while reducing juvenile catches.

Attendance is an essential activity in both educational institutions and companies, serving as an indicator of discipline, presence, and individual responsibility. Conventional attendance systems that still rely on manual journals often face several problems, such as vulnerability to manipulation, data loss, and physical damage. Meanwhile, modern methods such as fingerprint, QR code, RFID, and GPS are not entirely ideal since each has its own limitations in terms of cost, accuracy, user convenience, and potential misuse. For instance, fingerprint systems raise hygiene concerns due to shared use, while QR code and GPS methods are prone to fraud and location spoofing. To address these challenges, this study proposes a face-based attendance simulation system by integrating the YOLOv8 algorithm for face detection and Local Binary Pattern Histogram (LBPH) for face recognition. YOLOv8 was chosen for its ability to detect faces in real time with high speed and accuracy, while LBPH is employed for face recognition due to its robustness in handling variations in facial features and its relatively low computational requirements. This makes the system efficient even when implemented on medium-specification devices. The system was tested on 25 participants with a total of 250 attendance attempts. Based on the confusion matrix analysis, the system achieved outstanding performance with 98.4% accuracy, 98.4% precision, 100% recall, and a 99.2% F1-score. Furthermore, the system automatically recorded attendance dates and times with an average latency of 69.185 ms, proving its capability to operate quickly and reliably in real-world scenarios. Nevertheless, several limitations were observed, such as decreased accuracy when the face moved too quickly during image capture, as well as potential performance degradation under extreme lighting conditions. Despite these challenges, the proposed system demonstrates excellent performance and offers a promising solution for efficient, hygienic, and fraud-resistant attendance management applicable to both educational and professional environments.

In the modern era, the need for sophisticated vehicle security systems is increasing along with the high rate of motor vehicle theft. This research designs and implements a fingerprint sensor-based vehicle security system using an Arduino Uno microcontroller. This system aims to improve security by utilizing biometric technology that can only be accessed by verified users. The fingerprint sensor is used to recognize the user's fingerprint, then activate the system through a relay instead of a conventional key. System testing shows a fast response time with an estimated rise time of about 0.5 seconds and settling time of about 2 seconds, without any misidentification (false positive or false negative). Thus, the system is proven to provide higher security, good authentication speed, and ease of use compared to conventional security systems. These results show that the implementation of biometric technology in vehicles has the potential to be widely applied.

Smart Door Lock is a development of a conventional manual home door lock or padlock. This study aims to create alternative technology at home by utilizing available lock technology. This study uses an Arduino Uno Microcontroller as the brain of the solenoid and as a power supply for the fingerprint scanner, and an esp 32 microcontroller as a tool for sending fingerprint data to firebase. The fingerprint scanner is run using the Arduino Ide to add fingerprints. Arduino programming is done using the Arduino IDE. The results of the study are described in the form of designing an automatic home door lock using a fingerprint scanner and Arduino as a solenoid control. The fingerprint data results will be visible in firebase

Fingerprint recognition is a popular biometric technology due to its unique properties and high accuracy rate. Fingerprint recognition systems generally use fingerprint image representations, such as grayscale images, phase images, skeleton images, and minutiae. In this research, fingerprint image pre-processing is performed using Gaussian Blur, Median Blur, Thresholding, Otsu Thresholding, Thinning with Guo-Hall algorithm, and Minutiae Detection. Minutiae detection produces 426 termination points and 459 bifurcation points. The results of the pre-processing and minutiae detection were then used for minutiae matching on 5 different images. Minutiae matching produces varying degrees of similarity with a high level of accuracy, reaching an average accuracy of 88.80%.

The use of Education Management Information Systems (EMIS) can be an effective tool in achieving quality education. The purpose of this study is to understand how the implementation of Education Management Information Systems (EMIS) can improve the quality of education. This research adopts a literature review method. In the implementation of Education Management Information Systems (EMIS) in various schools, including MI Muhammadiyah Paremono, SMKN 1 Cijulang, SMP Hasim As'ari Tegalombo, and MAN 2 Ponorogo, it is evident that the use of information technology contributes positively to improving the quality of education. Various applications such as SIMPATIKA, e-learning, fingerprint, and web applications have assisted in managing information, enhancing the learning process, measuring learning outcomes, and facilitating the enrollment of new students. However, the implementation process does not always proceed smoothly due to various supporting and inhibiting factors. Supporting factors, such as cooperation between parties and efforts to overcome obstacles, facilitate the smooth implementation of EMIS. On the other hand, technical challenges, human resource difficulties, and student challenges in following learning through applications are obstacles that need to be addressed.

 PT Hong Xin Printing Equipment is encountering obstacles in improving operational efficiency and managing human resources in the digital age. Despite the use of a fingerprint attendance system, there are concerns about errors and reduced efficiency due to manual data processing. Additional challenges arise when recording attendance for employees on business trips and manually calculating leave. To tackle these issues, the company is planning to create a web-based payroll system that will automate payroll, attendance, and leave management. The implementation of this system is anticipated to enhance efficiency and accuracy, thereby allowing the company to maintain its competitiveness in the market.

Laboratory space is a place to store important assets, so security is an important factor. The application of technology is needed to help security in the laboratory space. In addition, with various technology options, it is necessary to consider human errors that often occur. The use of smart door access with a mechanism using a fingerprint sensor is determined due to security considerations and minimizing human error. Security is guaranteed because only registered fingerprints can access the room. The microcontroller uses Arduino Uno as a system driver that has been programmed in the Arduino IDE. The system works according to the function where the outer door uses a fingerprint sensor while the inner door uses a touch sensor to move the solenoid door lock. Three variations were carried out, namely clean fingers, dusty fingers and wet fingers to observe fingerprint performance. The fingerprint sensor works quickly when the finger is clean then the finger is wet and finally the finger is dusty. The length of time the solenoid door lock opens when the smart door access system is operated according to the settings in the Arduino IDE program.

Technological developments have had a huge impact on the banking system, one example of the impact of developments is increasingly modern payment systems such as mobile banking. Bank NTT is one of the banks that provides mobile banking services called B'pung mobile. This research aims to determine consumer preferences for mobile banking services at Bank NTT. This research uses a qualitative descriptive approach, by conducting structured interviews with informants and NTT bank customers. The research results show that consumer preferences for mobile banking services at NTT banks continue to experience positive developments in line with technological advances and changes in user behavior, ease of access, transaction security, feature and functional innovations are getting better. However, in its implementation there are several problems, namely a weak internet connection, no fingerprint feature and also a top up feature that is difficult to access.

Technology has the potential to be employed within the realm of electronics and informatics, particularly for the purpose of securing household doors using a smartphone through an internet connection. The Internet of Things (IoT) embodies a concept where internet-enabled devices can communicate with each other and their surrounding objects. This endeavor seeks to create a prototype using key components, including NodeMCU Esp8266, Servo Motor, and Fingerprint Module, with the ultimate goal of simplifying daily tasks and alleviating concerns about leaving the door unlocked upon leaving the house. The mechanism of this device entails utilizing a smartphone app to establish an internet connection, enabling users to seamlessly close and lock their house door. The underlying intention behind developing this tool is to provide assistance in managing both indoor and outdoor activities, addressing the issue of inadvertently leaving the door unlocked, and substituting traditional door locks with fingerprint recognition. By employing this innovation, individuals can conveniently regulate their house door via smartphone, saving time and effort and seamlessly integrating it into their daily routines.

This research was conducted to overcome the problem of low numeracy skills in grade 2 students of SD Negeri Galengdowo 2 Wonosalam. Therefore the researchers made efforts to improve students' reading skills through the Jaritmatika method. This research involved 40 grade 2 students of SD Negeri Galengdowo 2 Wonosalam. The design of this study was classroom action research. From the results of the research, the average score in cycle I was 62.41% of 40 grade 1 students at SD Negeri Galengdowo 2 Wonosalam. Whereas in cycle II the learning completeness that has been achieved classically is 74.88%.    

Seiring perkembangan zaman dan teknologi yang pesat saat ini, dalamkehidupan sehari-hari manusia tidak pernah lepas dari aktivitasnya untuk berinteraksi dengan peralatan elektronik yang membantu dan mempermudah pekerjaan manusia. Salah satunya adalah brankas otomatis dengan keamanan menggunakan sensor facerecognition dan fingerprint supaya perhiasan dan barang berharga lainnya lebih terjamin keamanannya dengan sistem keamanan ganda pada brankas.   Proyek akhir ini bertujuan untuk mengembangkan sebuah teknologi yang memanfaatkan beberapa macam komponen sensor, dimana komponen sensor tersebut melibatkan sensor getar untuk mengirimkan sms gateway jika brankas berpindah tempat, dan sim800l akan mengirimkan titik kordinat brankas berupa sms gateway. Dan GPS akan melacak keberadaan brankas sesuai titik kordinat tersebut. Buzzer akan berbunyi untuk memberikan tandaatau notifikasi.

Abstrak Perkembangan ilmu pengetahuan dan teknologi semakin maju terutama dibidang teknologi elektro atau teknologi elektronika, banyak keuntungan yang didapatkan akan berkembangnya suatu teknologi namun semakin berkembangnya teknologi makin banyak pula tindak kriminal dan semakin pintar pula pelaku kriminal terutama pada pencurian kendaran. Kita membutuhkan lahan parkir yang aman untuk menyimpan kendaraan kita, peningkatan kemaanan merupakan salah satu yang harus diperhatikan dalam membuat perancangan sistem keamanan parkir. Sistem tersebut diharapkan menurangi tingkat kriminal yang ada disekitar kita. Perancangan sistem parkir ini menggunakan teknologi fingerprint sensor dan Barcode scanner. Bukan hanya sistem keamanan yang di perkuat alat ini pun dapat memberikan informasi data diri dan informasi kendaraan yang di tampilkan pada LCD dengan menggabungkan data sidik jari pengendara. Dengan menggunakan sistem fingerprint yang berkesinambungan dengan barcode scanner diharapkan menekan resiko pencurian kendaraan yang berada pada lingkungan parkir. Metode menyatukan Fingerprint sensor dan barcode scanner yaitu menggunakan mikrokontroler Arduino Wemos D1 R1 yang terkoneksi dengan internet.      Kata Kunci: Parkir, Fingerprint Sensor, Barcode Scanner, Arduino Wemos D1 R1

PT. Biru Semesata Abadi is a company engaged in refill drinking water, one of the many drinking water companies in Semarang, and has many branches (10 branches) and one head office in Semarang (in the Bugangan area, East Semarang district), because this company has franchise system. In this case, I will discuss the presence system (presence) of employees of PT. Biru Semesta Abadi, Fatmawati Semarang branch which is still manual (presence made of paper and written by hand) and still encounters many obstacles. This desire arises because this company has difficulties in processing Presence information data, resulting in more and more hardcopy archives and makes it difficult when the company management intends to recap and re-collect data and employee attendance lists. Presence Process that already exists in the Study of PT. Blue Semesta Abadi Semarang can be said that there are still shortcomings because everything is still done manuallyThe use of the Fingerprint method in this employee Presence system application will also make this Presence system more effective and efficient because each employee will only paste one of the employee's fingerprints on the available Fingerprint device where the calculation of the employee's attendance and exit hours will be entered in the database. , then the result of inputting the employee identification number will be the reference for the employee's arrival time.

Security aspects is needed in various fields of life today. Safety is becoming a concern for everyone. One of the important concerns is the security of the room. The indoor security system uses Raspberry Pi and RFID based Firebase Cloud Messaging and Motion Detection Camera, is a room security system that includes expensive equipment, so this device is designed for protection or robbery and also provides assistance in advance. . The security system in this room consists of several parts, namely Raspberry Pi as a brain system, selenoid door lock as an electric lock on the door, RFID system and CCTV camera as a detector of the amount of human movement, PIR sensor as a detector of human temperature, alarm as an indicator of intruders which transfers rooms, and database applications as user storage databases for security recorders  

Data collection on employee attendance at a company is a must, with the aim of monitoring discipline, calculating employee salaries, and other needs. Data collection on employee attendance at companies that are used today is very diverse, following the development of technology. The United Tronik Semarang office, which employs relatively many employees, currently uses a manual card attendance data collection system that attracts researchers to make the United Tronik Office the object of research.  Fingerprint is one of the hardware used to support employee attendance data collection which is relatively simple and easy to reach, the accuracy and ease of operation make the fingerprint attendance system more and more in demand. One of the human error problems in the attendance data collection system is attendance recording errors, especially for employees with shift work hours. Arrangement of work shifts in programs built with Visual Basic 2010 can minimize attendance recording errors, because it can set the recording time for employees. To support the ease of data access and shift settings, the researcher uses a Client Server database system with SQL Server 2005 Software.