To obtain personality criteria based on the work provided, several agencies usually set standard personalities that prospective workers must possess, with the aim that workers can work in fields that support their personalities. Likewise, the Siumbut-umbut Kisaran Village Office sets standard personalities that must be possessed by each employee so that the work carried out has optimal results. This study aims to determine the type of personality appropriate for work in the Siumbut-umbut Kisaran Village Office using the Analytical Hierarchy Process (AHP) method. Decision Support Systems (DSS) are applied to overcome problems in determining standard personalities for employees so that work results are optimal. This study found that the highest personality priority is Phlegmatic (K2), and the prioritized alternative is Eva Wulandari (At1).
This research aims to improve security when every time a user logs in or makes a transaction, an OTP (One time pad) will be sent via email, the OTP code is generated randomly and can only be accessed by the account party that has a valid and valid OTP key at that time. certain. Using the one time pad algorithm provides a very high level of security, because the resulting OTP is unique for each transaction. However, its implementation requires strict discipline in key management and proper encryption or decryption processes so that it can function optimally. This system is designed for account user security to prevent data leaks, thereby minimizing the potential for crimes such as identity theft and fraud. The research results show that not a single OTP was repeated in the 10 transactions carried out. Each OTP code generated is unique and different from previous OTPs, both on successful and failed transactions, proving the effectiveness of the system. This website was created using Visual Studio Code to ensure a stable and efficient system implementation
Heart failure is one of the major health problems that can be fatal if not diagnosed properly and quickly. Therefore, early prediction using artificial intelligence models, especially Artificial Neural Network (ANN), is needed to improve the accuracy in detecting heart failure. This study aims to optimize the activation function in ANN to predict heart failure accurately. Several optimization algorithms tested, namely Adam, RMSprop, SGD, Adagrad, and Adadelta, were used to evaluate model performance in terms of accuracy, precision, recall, and F1-score. The results showed that the Adam optimization algorithm provided the best performance with an accuracy of 86.74%, precision of 75.12%, recall of 66.67%, and F1-score of 70.64%. Meanwhile, other algorithms such as RMSprop, SGD, Adagrad, and Adadelta showed lower performance, with some metrics reaching 0%. This study shows that proper activation function optimization in ANN is very important to improve the model's ability to predict heart failure with a high level of accuracy.
This study originated from the need for a secure election system in academic environments, particularly to address credential theft and cyberattack threats in the security of the Student Presidential election system. Ensuring security in student election systems presents a significant challenge, as conventional authentication methods are prone to voter identity authenticity manipulation. Therefore, this research proposes a two-factor authentication model using Time-Based One-Time Password (TOTP) based on the SHA-512 algorithm. This model provides an additional layer of security through time-based authentication and a stronger hash mechanism against attacks. Testing was conducted involving several user accounts from Gmail applications, where OTP codes were successfully sent to the users' email accounts. The results indicated that TOTP delivery and validation times ranged between 150 and 300 ms, with user satisfaction levels exceeding 80%. The implications of this study include enhanced security in the student presidential election system within academic environments and the potential for broader adoption in other fields requiring user authentication
This study aims to facilitate the travel of tourists visiting Tao Lake and increase travel efficiency by determining the fastest route. One of the methods used to determine the fastest route to Tao Lake is the greedy algorithm method. The advantage of the greedy algorithm is that it is fast in acting and does not take long to consider the consequences of what is decided so that it is very easy to implement in several existing problems. This website was created for the Gunung Tua and Padang Sidempuan areas. The results of the trial of the Tao Lake tourism website using a black box stated that the results of the website's feasibility point were 54% strongly agree, 26% agree, 14% disagree and 6% strongly disagree. The results of the website user satisfaction point were 58% strongly agree, 32% agree, 6% disagree and 4% strongly disagree.
Patient segmentation based on perceptions of service quality is a crucial step in improving patient experiences, optimizing resources, and enhancing healthcare service quality. However, understanding patients' needs and priorities in depth poses a challenge, particularly for hospitals serving populations with diverse demographic backgrounds. This study aims to cluster patients in a private hospital in Jambi City based on their perceptions of service quality using the K-Means algorithm. Data were collected from a 2022-2023 survey, covering patient demographics and perceptions of service quality. The data were processed through preprocessing steps, including missing value imputation, normalization, and encoding. The optimal number of clusters was determined using the Elbow and Silhouette Score methods. The results revealed three main clusters with distinct characteristics. The first cluster (34.29%) includes patients prioritizing service speed and procedural ease. The second cluster (46.12%) consists of patients who emphasize staff competence and cost fairness as their main priorities. The third cluster (19.59%) comprises patients with higher educational backgrounds who are more critical of facility quality and complaint handling. Evaluation using the Davies-Bouldin index demonstrated good cluster separation (score -0.645). This study concludes that patient segmentation based on perceptions of service quality can serve as a foundation for strategic decision-making to improve hospital service quality. Recommendations for future research include applying other algorithms such as DBSCAN, integrating sentiment analysis, and employing a hybrid approach to predict patient needs. These approaches are expected to provide a deeper understanding and more effective personalization of patient care.
This study aims to create a learning media for computer network practicum based on Virtual Lab simulation using Augmented Reality (AR) technology that can be used by Istiqlal Vocational High School students to direct computer networks anytime and anywhere. This learning media is created to help students understand the basic concepts of 3D object computer networks that appear in the real world through mobile devices in a more interactive and interesting way. The method used in this study is Marker Based Tracking. This learning media utilizes markers to display 3D learning objects that can be interacted with by students, thus helping them understand the material more deeply and practically. The results of the study showed that the use of AR with the Marker Based Tracking method was effective in improving students' understanding of computer network material. Students were more interested and active in practicums, and were able to apply theories in real 3D object simulations, which increased the effectiveness of learning. Based on the results of trials on 23 respondents, most users gave positive responses to the 3D objects provided, with 91.7% of users assessing the 3D objects presented as good quality, and 75% felt that this application increased interest in learning. In addition, 83.3% of respondents felt helped in understanding the material.
The classification of the less capable population in Afulu Sub-district is currently reliant on a manual system, resulting in prolonged processing times. To address this issue, this research endeavors to develop a practical application for the classification of population data, with the primary objective of expediting the processing of population data in Afulu Sub-district. The study will focus on nine villages within the sub-district, encompassing a total population of 11,722 individuals, with a sample size of 386. The present study utilizes the Multilayer Perceptron, a classical algorithm that continues to be the most widely employed method in numerous researches. The findings of the present study indicate that out of the total sample size, 152 individuals were classified as capable, 86 individuals were classified as moderately capable, and a substantial number of 148 individuals were classified as less capable. The classification results were evaluated using a confusion matrix. The 3-5-1 architecture, comprising of 3 input layers, 5 hidden layers, and 1 output layer, was found to be the most superior. This architecture demonstrated an accuracy value of 96.9%, a recall value of 92%, a precision value of 98.5%, and an F-score value of 94.9%. A detailed elucidation of the parameters employed, the formulas utilized, and several computations performed are explained further.
Indonesian Journal Volunteers have an application that makes it easy for journal managers to become members of Crossref and subscribe to Digital Object Identifiers (DOI). One of the services that RJI currently has is the DOI application. The purpose of this study was to test the quality of usability and to evaluate the level of user experience satisfaction from the DOI by RJI application. There are 2 methods used in this research. The first method of the System Usability Scale (SUS) is used to measure usability aspects. While the second method of the User Experience Questionnaire (UEQ) is used to produce evaluation results of user satisfaction levels from the user experience. From 23 respondents there are results of user satisfaction levels with a score of 65 with category D and can be said to be well received by users. Aspects of the level of satisfaction there is a positive level results with the highest mean value on the efficiency scale (Efficiency) which is 1.554 followed by the stimulation scale (Stimulation) with a value of 1.511. Then the value of the attractiveness scale is 1.493, the dependability scale is 1.478, the novelty scale is 1.326 and the Perspicuity scale is 1.272. This shows that the level of user satisfaction in using the DOI by RJI application has a positive user experience. Because all levels of the scale are higher than the standard value of 0.8.
The Presidential Election is one of the key elements in democracy which is regulated by the 1945 Constitution of the Republic of Indonesia (UUD 1945). General elections (elections) in Indonesia are held every five years, and the people have the right to vote to elect a presidential candidate who they consider worthy of leading the country during the next term of office. The Presidential election process involves various stages, including nomination by political parties or individuals, political campaigns, debates between candidates, and the voting or election stage. The presidential election (presidential election) is held simultaneously with the legislative election. It is important to note that elections are the foundation for democratic governance, ensuring the active participation of the people in determining the direction and leadership of the country. The Presidential Election in Indonesia is a manifestation of the implementation of democratic principles in the country's political system. The AHP (Analytic Hierarchy Process) method and the ANP (Analytic Network Process) method are methods that can be used in making decisions. A method developed by mathematician Thomas L. Saaty to help solve very complex problems by breaking down various decisions into several smaller criteria. The AHP and ANP methods can overcome assessments based on subjective viewpoints and personal preferences, and transform them into weights with consistent and rational values. Super Decisions is a tool developed specifically to support AHP and ANP calculation applications. Super Decisions provides useful tools in analyzing and processing comparison tables, performing consistency calculations, and assisting in AHP and ANP based decision making.
Designing an annual marketing strategy for motorbike inventory in each city where previous data already exists but sometimes has never been reviewed. Decision making in determining the number of Honda brands that consumers are interested in per year needs to be reviewed in each city. CV. Karya Utama Kisaran, a company engaged in marketing motorbikes which is experiencing an increasingly competitive level of business competition. This requires determining motorbike inventory which can increase motorbike sales volume by choosing the right dealer. Motorbike inventory is one of the things that needs to be done in designing marketing strategies in several cities. In this analysis process, it is carried out using data mining with clustering techniques which use non-hierarchical methods in non-hierarchical grouping, one single data in a group, or more small groups that can combine into a large group. The aim of the research is to determine the similarity in characteristics between the data in inventory transaction database, in order to form groups of marketing locations. The final results of the research carried out produced 2 clusters where cluster 1 was City 1, 2, 4, 6, 7, 8,9,10, 11,12 and cluster 2, City 3 and 5 from a total of 12 cities, by showing that cluster 2 has higher motorbike inventory and marketing than cluster 1.
Staff recruitment is a critical process in human resource management where organizations select and place individuals who fit the needs and goals of the company. This process involves identifying position needs, job postings, screening applicants, interviewing, skills evaluation, and making a final decision to determine the most suitable employee. The integration of CRITIC and MAIRCA allows the staff selection process to be more objective and systematic. CRITIC helps in assessing the importance of each criterion by considering its relevance, thus ensuring that the evaluation is not based on just one dimension. On the other hand, MAIRCA provides a comprehensive framework by comparing each candidate against the desired ideal standards and their actual achievements in relevant attributes. The combination of these two methods not only strengthens accuracy in staff selection, but also ensures that decisions are made in accordance with the organization's strategic goals to achieve optimal performance and effectiveness. The ranking results obtained the results of rank 1 with a value of 0.0824 obtained by Alternative G, rank 2 with a value of 0.0798 obtained by Alternative B, and rank 3 with a value of 0.0778 obtained by Alternative C.
The data storage and information exchange activities digitally have risks and of course must be accompanied by information security. Various ways are done to protect data such as hiding data with steganography techniques or by encoding data with cryptographic techniques. If in general the steganography technique is done by inserting data into image, audio or video media, but in this study the data will be inserted or hidden into a text file as a media (cover message) to hide the data. While data security with cryptographic techniques is done by changing the data to be kept secret (plaintext) into encoded data (ciphertext) so that the data cannot be understood by people who do not have legality in the data. Therefore, with this method of securing research files, it produces a test of blackbox testing of encryption and description and extraction. Where is the result of the encryption on the encrypted text file using the ROT128 algorithm with a time of 1.82ms and where is the result of the description on the text file producing a decrypted text file using the ROT128 algorithm with a time of 1.47ms. After carrying out the extraction process on the resulting text file description using the Bacon Cipher algorithm, it will produce the original text with a time of 13.95ms
Indonesian marketplaces have grown rapidly in recent years, especially since 2009 when many types of marketplace applications emerged. With the advancement of technology and easy access to the Internet, some consumers who previously never shopped online are now interested in switching to a digital shopping environment to fulfill their needs. However, there are obstacles for sellers in selling the needs of mass organizations and parties such as sellers only selling at the workplace, promotions are still based on references from buyers who buy in stores, so that sales figures are often not maximized. Therefore, an analysis and design of a website-based marketplace application for selling the needs of mass organizations and parties that can meet the sales needs of parties and mass organizations. This research uses the SDLC (System Development Life Cycle) waterfall method to design a system that produces a design of a marketplace application for selling the needs of mass organizations and parties that can facilitate buyers in making product order transactions and facilitate sellers in selling the needs of mass organizations and parties. This design is expected to be a reference to be developed into an application that can be implemented.
The purpose of this study is to examine the Convolutional Neural Network (CNN) model for classifying the age groups of hospital visits, both children and adults. Hospitals serve as treatment facilities for a variety of ailments caused by viruses, germs, car accidents, and other factors. Children are not permitted to visit the hospital due to hurdles to patient comfort as well as hazards associated with immunity and trauma to children. As a result, a digital strategy is required to monitor the presence of youngsters in the hospital setting. The notion of computer vision and the Convolutional Neural Network (CNN) are employed in this study to attain this goal. The dataset utilized is All-Age-Faces (AAF), which includes photos of human faces ranging in age from 2 to 80 years. To categorize visitors into children or adults, two CNN architectures, ResNet and SqueezeNet, are used with fine-tuning (FT) and full retraining (FR) approaches. The accuracy of FR-ResNet was 97.22%, beating the accuracy of the previous research FT-SqueezeNet, which was 93.09%, better to 4.13%. This study confirmed that the use of CNN, namely the FR-ResNet technique, was effective in accurately categorizing the age of hospital visits. Controlling children's access to hospital areas can help reduce the danger of illness transmission.
At present, the rapid advancement of sciens and information technology has made two-dimensional image files highly demanded. In this era, sending files, whether in text or image format, has become a common practice. Sending large image files requires more time and bandwidth. To address this, compression is necessary for image files. The FELICS method is one of the techniques that can be used for image file compression. FELICS present a simpler system for image compression, operates faster, and only inscurs minimal compression efficiency loss. Based on test results for five .png files with sizes of 5.249.494 bytes reduced to 2.041.208 bytes, 3.124.201 bytes reduced to 1.060.781 bytes, 10.473.459 bytes reduced to 3.065.010 bytes, 804.728 bytes reduced to 200.215 bytes, and 503.111 bytes reduced to 158.711 bytes. This results in compression retions ranging from 24.87% to 38.00%.
Robotics has become an ever-growing field with increasingly diverse applications in various industries. One interesting application is the development of delivery robots that can follow specific paths on surfaces using black markings as a guide. This research aims to design and implement a microcontroller-based black mark following goods delivery robot prototype. This robot prototype uses a TCRT5000 sensor to read black markings placed on the bottom of the robot. Using this robot is very easy by providing a battery for the robot's power source. The TCRT5000 sensor is a reading sensor for following the path. The FC-51 IR sensor as an obstacle detection sensor is in front of the robot for temporary stops when the robot is walking. The TTP223B touch sensor calibrates the robot at the start and end of the robot's work, inputting the additional number of stops when the robot is in a temporary state. This robot is easy to use because the operation is easy to understand, making the robot easy for ordinary people to use.
Bidang perbankan merupakan salah satu yang berkembang dan mengikuti tren digitalisasi. Adanya bank digital merupakan inovasi yang dilakukan pada bidang perbankan dalam memberikan pelayanan dengan menggunakan media elektronik atau digital. Teknologi yang dikembangkan memungkinkan pengguna hanya cukup mengakses transaksi dalam suatu aplikasi dengan bermodalkan smartphone yang didistribusikan melalui Google Playstore. Ulasan-ulasan pengguna (review) pada Google Playstore ini tersedia untuk membantu meningkatkan performa dari aplikasi dan menjadi landasan bagi perusahaan dalam mengembangkan aplikasi perbankan. Akan tetapi, terdapat kendala jika banyaknya ulasan dan sulit untuk memilah dan mengolahnya secara manual sehingga diperlukan analisis sentimen ulasan pengguna pada aplikasi-aplikasi bank digital. Pada penelitian ini analisis sentimen dilakukan dengan menggunakan algoritma Naïve Bayes. Adapun pendekatan metode yang dilakukan dengan menggunakan CRISP-DM sebagai standar yang umum dalam melakukan riset data mining. Hasil dalam penelitian ini menunjukkan bahwa penerapan model klasifikasi dengan menggunakan Algoritma Naïve Bayes dengan data ulasan menghasilkan 46% ulasan positif dan 54% ulasan negatif. Selain itu, nilai akurasi tertinggi dari kinerja algoritma Naïve Bayes dengan menggunakan pembagian data training dan testing dengan persentase 70:30 menghasilkan akurasi yang optimal mencapai 89%.
Attendance is an important part of collecting attendance data at an event. The data serves as a tool for evaluation, accountability, and event development. SMK Muhammadiyah 3 Dolopo, a vocational high school in Madiun Regency, East Java, is one of the educational institutions that requires a good attendance system. The school aims to excel in the field of technology and information. To achieve this goal, improving the quality of learning and service to students, including in terms of absenteeism, is needed. Currently, SMK Muhammadiyah 3 Dolopo still uses a manual attendance system which has several disadvantages, such as time-consuming, error-prone, easy to fake, difficult to archive, and less flexible. The use of attendance system can be done quickly and accurately, anywhere and anytime. The use of the Attendance Information System is an effective solution in monitoring and managing student attendance accurately and efficiently. Research shows that this system helps maximize learning time by ensuring timely student attendance. The results showed that the adoption of this technology has the potential to improve the overall quality and effectiveness of learning
This study develops RFID technology for a home security system, which is to make a home security system that is minimal in error and is also more stringent than just security that is carried out in general. By utilizing RFID technology coupled with a magnetic switch sensor based on SMS gateway and telephone notification, it is hoped that this research will produce a prototype tool in the form of a home security system. This prototype will be made using an Arduino Nano-based microcontroller which will be connected to several sensors and modules. The test results show that this system can provide accurate information to homeowners and can open doors with an RFID key.
