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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.

The distinctive markings on the fingers are known as biometrics. The fingerprint attendance method uses biometrics. Without developing a usable fingerprint tool, research on fingerprint attendance is restricted to processing attendance data. As a result, an Arduino-based fingerprint approach was used to construct an attendance tool. The education sector is where SMK Negeri 1 Indralaya Utara. The school's student attendance system is still operated manually. In this study, the system uses fingerprints and camera recording to track students' locations. Using an Arduino Mega as a microcontroller, this tool will display student attendance information on an LCD, save it on an SD card module, and send the ESP32CAM-generated photographs over Telegram. The literature review is the first step in the research process, followed by hardware and software design. Following completion, the tool is put through testing to evaluate its functionality. Each of the ten participants scanned their thumb and index finger. The thumb and index finger have an average of five tests, with a 0.28% mistake rate, depending on the number of trials. Each component's error percentage is less than 1% while still falling within the 5% tolerance limit. The image test results indicate two conditions: 20 cm and greater. The ESP32CAM will activate when we take a picture at a distance of 20 cm.

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.

Criminalistics is an important supporting science in the criminal justice system, especially at the investigation stage. This science is used by investigators to uncover crimes scientifically through analysis of physical evidence, fingerprints, traces of wounds, poisons, objects used, and reconstruction of the incident. In cases of premeditated murder committed by children, criminalistics plays a crucial role in proving the elements of the crime. This study raises two problem formulations, namely: (1) What is the role of criminalistics in revealing the crime of premeditated murder by children? and (2) What are the inhibiting factors of criminalistics in the disclosure process? This study uses a normative and empirical legal approach, by combining primary data through interviews and secondary data from literature studies. The results of the study indicate that criminalistics is very important in helping investigators uncover facts and compile a scientific picture of criminal events. The factors that inhibit the role of criminalistics include: limited means and facilities for forensic investigation, legal aspects that limit the time of investigation, lack of coordination between law enforcement officers, and community and cultural factors. Among these factors, the most dominant are the lack of forensic facilities, limited investigation time, and weak coordination between institutions. This study suggests that investigators be provided with comprehensive criminalistic training and authorities increase the provision of forensic equipment, especially in regional areas, to support the effectiveness of disclosing crimes involving children as perpetrators.  

The high rate of motorcycle theft in Indonesia is a serious issue requiring an innovative, technology-based solution. This study aims to design and develop a motorcycle security system that integrates biometric authentication using a fingerprint sensor, real-time GPS tracking, and remote control based on the ESP32 microcontroller. The system allows users to start or stop the engine using registered fingerprints only, monitor vehicle location via GPS Tracker EV02, and control the motorcycle remotely through an internet-based application. Test results show that the system can accurately recognize fingerprints within 2 seconds, activate a buzzer for one minute upon unauthorized access attempts, and display the vehicle's location with an accuracy of 3–12 meters. Additionally, the use of the waterproof R503 fingerprint sensor ensures the system functions reliably in wet conditions. This integrated system has proven effective in enhancing the security of two-wheeled vehicles and offers a viable alternative to traditional security mechanisms.    

In the art and science of dermatology, ridge patterns and surface markings are studied on the finger’s skin, palm, foot toes, and soles. It is helpful for research into illnesses that may have a hereditary component. Dermatoglyphics has developed into a practical instrument in the fields of biology, anthropology, genetics, medicine, and dentistry over the past few centuries. The state of medical dermatoglyphics today is such that different systemic illnesses are linked to fingerprint patterns. Breast cancer, smokeing tobacco, bronchial asthma, diabetes mellitus, and several others were maintained. The sophisticated and contemporary uses of dermatoglyphics in the diagnosis of various oral, systemic, and dental conditions are covered in this article. It also emphasizes how beneficial dermatoglyphics is as a medical diagnostic tool for a variety of systemic illnesses. An approach to investigating the genetic relationships of oral, craniofacial, and systemic illnesses that is easily accessible, affordable, practical, trustworthy, and noninvasive is dermatoglyphics. Therefore, dermatoglyphics is a great tool for screening the population for numerous medical and dental conditions in addition to providing personal identification.

This study aims to describe and analyze: the application of the MPaspor application as one of the bureaucratic reform strategies and the supporting and inhibiting factors for the implementation of the M-Passport application as one of the bureaucratic reform strategies in the Special Class 1 Immigration Office of the City of Surabaya.  The research method to be used is qualitative descriptive.  Data Collection Techniques include: Interviews, Observations, Documentation. The research informant is the Head of the Suarabaya Special Class I Immigration Office. The data analysis technique using interactive model analysis was developed by Miles et al., (2014), namely data condensation, data presentation, and conclusion drawn. The results of the study show . Mobile Passport as one of the Bureaucratic Reform Strategies at the Surabaya Special Class I Immigration Office is carried out based on the Institutional Aspect, namely the M-Passport Application based on the Letter of the Director of Immigration Traffic Number IMI.2-UM.01.01-4.0700 dated February 18, 2022 concerning the Follow-up of the Implementation and Implementation Policy of Mobile Passport (M-Paspor) at Immigration Offices throughout Indonesia. In terms of bureaucratic reform, M Passport services in the institutional field, office employees must have proficiency, that is, each office employee must be able to master the skills and knowledge needed in serving citizens, especially foreign citizens who take care of ITAS and ITAP. In terms of resources, it is already available and given full support with the availability of competent IT experts to support the development and implementation of the M-Passport application. The Financial Resources provided continue to be provided for the launch, maintenance, and renewal of the M-Passport application. In terms of governance, as a Technical Implementation Unit of the Special Class I Immigration Office of Surabaya by paying attention to the provision of facilities to support the running process of a bureaucracy.  The Surabaya Special Class I Immigration Office provides a guarantee of passport processing time by officers during the interview session, photo taking, and fingerprint scanning for three working days. Passport application service fee Passport costs Rp 350,000, while electronic passport costs Rp 650,000. One of the supporting factors for the implementation of the M Passport Application at the Surabaya Special Class I Immigration Office is supporting facilities and infrastructure, such as queue machines, service counters, and computers. Inhibiting factors include application servers that often crash or have problems. In addition, there is a lack of public understanding that in taking care of passports, original documents must still be brought. 

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

This project aims to design and implement a manual attendance system as an alternative solution for PT Greenindo Plastiktama Industri. The system addresses issues with the fingerprint attendance system, particularly during system errors or for part-time employees. Methods employed in this study include interviews, observations, and documentation to thoroughly understand the partner's needs. The implementation results indicate that the manual attendance system assists the HR department in recording attendance efficiently and provides an easily accessible alternative for employees. The conclusion of this study highlights that the manual attendance system, designed to be simple, flexible, and tailored to the company’s needs, effectively enhances attendance recording efficiency and supports overall company operations.

The determination of human skeletons and fragments has significant value from both a legal and humanitarian perspective, which generally includes the evaluation of teeth, bones, fingerprints, and genetic material. However, fingerprinting and DNA methods are not without their limitations. Sex determination is an important first step in biological profiling, which plays a role in victim matching. Research on sex identification using T12 vertebrae with Geometric Morphometric (GM) techniques is still relatively rare. The GM technique deeply explores the dimensions and shape of objects. This study used an analytic observational design with a retrospective cross-sectional approach, involving 100 CT scan samples from Dr. Kariadi Hospital. Gender was used as the independent variable, while size (centroid size) and shape (principal component) were the dependent variables. The results of independent t-test and Mann-Whitney analysis showed a significant difference in T12 vertebra size between men and women (p = 0.000), but not in shape (p = 0.439). Based on the GM technique, it was revealed that the difference in T12 vertebrae between men and women was in size, not shape.

Technology plays an important role in organizational culture if managed well and is very helpful in the rotation of an organization's journey. Finger print, for example, is a technological tool that contributes to building organizational culture. This tool not only functions as an attendance system, but also creates time discipline, transparency, and accountability among team members. Technology implementations like these demonstrate how technology can be used to support an organization's core values. Apart from that, applications such as E Pesantren Presence also provide digital solutions for monitoring attendance in real-time, which is very helpful for based organizations. Of course, the Head of Human Resources really feels helped by the contribution of technology in achieving organizational goals and it is very beneficial for teachers to have a disciplined character to apply and set an example for the students.

Sani Noviani. This study aims to: 1) determine the effect of the application of fingerprint attendance on the improvement of teacher performance of SMAN 3 Kayuagung, 2) determine the influence of work motivation on the improvement of teacher performance of SMAN 3 Kayuagung, and 3) determine the effect of the application of fingerprint attendance and work motivation on the improvement of teacher performance of SMAN 3 Kayuagung. The research method uses quantitative. This research was conducted in October – December 2020. The research population is 42 teachers taken with a total sampling technique. The data collection instrument uses a questionnaire. The results of the validity test of the variable of the application of fingerprint attendance ranged from 0.371-0.901, the variable of work motivation between 0.324-0.852, and the variable of teacher performance between 0.352-0.867. The reliability of the fingerprint attendance application questionnaire was 0.966, the work motivation questionnaire was 0.958, and the teacher performance questionnaire was 0.963. The analysis technique uses analysis prerequisite tests, regression analysis, t-tests, F tests, and determination coefficient tests. The results of the study were that: (1) there was a positive and significant influence between the variables of fingerprint attendance application and the improvement of teacher performance. This can be seen from the calculated T value (2.346) is greater than the T table (2.023) and the p-value is 0.000. (2) there was a positive but not significant effect between work motivation and teacher performance improvement. This can be seen from the T value of the calculation (1.943) is smaller than the T table (2.023) and the p-value is 0.000. (3) There is a positive and significant influence of the application of fingerprint attendance and work motivation on improving teacher performance. This can be seen from the value of F calculated (23.297) is greater than F table (3.238) and the regression equation obtained Y = 32.906+0.346X1+0.311X2+e, that variables X1 and X2 contribute by 54.4% to the variable Y. From the results of the determination coefficient of 54.4%. Another factor of 45.6% that affects the improvement of teacher performance was not discussed by the researchers.

The purpose of this study was to measure the effect of fingerprint attendance and work motivation on employee work discipline at Man 3 Bener Meriah. The number of respondents in the study was 45 people using saturated sampling techniques. The data collected through the questionnaire were expressed in the form of a Likert scale, then tabulated and processed using multiple linear regression techniques using the SPSS version 27 application. The results of the multiple linear regression equation Y = 2.507 + 0.583 + 0.422, indicate that there is a partial effect of fingerprint attendance on employee work discipline with a significance level of 0.000 <0.05 with a t-count value of 4.316, there is also a partial effect of work motivation on employee work discipline with a significance level of 0.002 <0.05 with a t-count value of 3.252. The results of the study also showed an influence between fingerprint attendance and work motivation simultaneously on the work discipline of Man 3 Bener Meriah employees with a significance level of 0.000 <0.05 with a calculated f value of 14,634. The R square Determinant Coefficient shows a figure of 0.411, this means that the work discipline variable is influenced by the fingerprint attendance variable and work motivation by 41.1% and 58.9% is influenced by other variables not examined in this study.    

Currently, technological advances are very rapid and sophisticated. It is not surprising that this progress is utilized by many sectors, both private and government. The government must use technology to develop more sophisticated and inventive government systems. One of them is a unique finger impression-based attendance method that is used to discipline employees in carrying out their duties. The purpose of this research is to find out how effective the use of unique finger impressions is to discipline employees at the Malang Regency Transportation Service, how effective the use of unique finger impressions is to increase employee discipline, and the steps taken to improve employee discipline. This study is based on an inductive approach combined with a descriptive approach. Data collection methods include interviews, observation, and documentation. According to Tangkilisan (2005: 141), there are four ways to evaluate effectiveness: target achievement, adaptability, job satisfaction, and responsibility. By using unique finger impressions, employee discipline and organizational performance improve. However, there are several challenges, one of which is that employees continue to come for unique finger impressions rather than performance, which hinders them from completing tasks on time. One of the efforts made by the Malang Regency Transportation Service is to carry out direct supervision from the leadership and apply disciplinary penalties objectively and according to procedures. The author suggests improving or updating unique fingerprint scanning machine technology, especially the sensitivity of the scanner in reading fingerprints, and adding one unit of unique fingerprint scanning machine

This research aims to test and analyze the effect of supervision and implementation of a fingerprint attendance system on work productivity among MAN 1 teachers in Bekasi City. The research method used in the research is quantitative methods. The collection technique in this research used observation and distributing questionnaires to 101 teachers in Bekasi City who were used as respondents. The sampling technique in this research used a saturated sampling technique. The data analysis technique in this research uses descriptive and SmartPls 4.0. The results of this research show that there is a significant influence between supervision (X1) on work productivity (Y) = 0.290 (Tstatistics 2.143 > Ttable 1.96). There is a significant influence between fingerprint absence (X2) on work productivity (Y) =0.559 (Tstatistics 5.241 > Ttable 1.96). There is a significant influence between supervision (X1) on fingerprint attendance (X2) = 0.670 (Tstatistics 5.576 > Ttable 1.96). And finally Fingerprint absence (X2) mediates between supervision (X1) and work productivity (Y) = 0.375 significantly (Tstatistics 4.211 > Ttable 1.96).