JURNAL REIN (Rekayasa Informatika) <span style="color: rgba(0, 0, 0, 0.87); font-family: 'Open Sans', sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: justify; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;">adalah jurnal akses terbuka. <span style="color: rgba(0, 0, 0, 0.87); font-family: 'Open Sans', sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: justify; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;">JURNAL REIN (Rekayasa Informatika) menyediakan platform bagi akademisi, peneliti, dan profesional untuk berkontribusi dan menyebarluaskan penelitian inovatif di bidang teknologi informasi. 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Tim editorial berdedikasi untuk tinjauan yang efisien dan konstruktif dari semua kiriman yang memenuhi kriteria publikasi jurnal. <span style="color: rgba(0, 0, 0, 0.87); font-family: 'Open Sans', sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: justify; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;"><span class="JLqJ4b ChMk0b" style="box-sizing: border-box; color: rgba(0, 0, 0, 0.87); font-family: 'Open Sans', sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: justify; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;" data-language-for-alternatives="en" data-language-to-translate-into="id" data-phrase-index="0" data-number-of-phrases="3">Kami mengundang Anda untuk mempertimbangkan JURNAL REIN (Rekayasa Informatika) sebagai tempat untuk berbagi penelitian baru, model, dan praktik terbaik yang memajukan beragam bidang Aplikasi Ilmu Komputer, Kecerdasan Buatan, Visi Komputer dan Pengenalan Pola. Silakan hubungi kami jika ada pertanyaan di<span class="JLqJ4b ChMk0b" style="box-sizing: border-box; color: rgba(0, 0, 0, 0.87); font-family: 'Open Sans', sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: justify; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;" data-language-for-alternatives="en" data-language-to-translate-into="id" data-phrase-index="1" data-number-of-phrases="3"> jurnal@rekayasainformatika.com untuk tanggapan yang lebih cepat. <span style="color: rgba(0, 0, 0, 0.87); font-family: Manrope, sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;">JURNAL REIN (Rekayasa Informatika) mulai tahun 2024 menerbitkan 2 (dua) nomor setiap tahun, yaitu terbit di bulan <strong style="box-sizing: border-box; font-weight: bolder; color: rgba(0, 0, 0, 0.87); font-family: Manrope, sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">Juli<span style="color: rgba(0, 0, 0, 0.87); font-family: Manrope, sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;"> dan <strong style="box-sizing: border-box; font-weight: bolder; color: rgba(0, 0, 0, 0.87); font-family: Manrope, sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">Desember<span style="color: rgba(0, 0, 0, 0.87); font-family: Manrope, sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;">.
Penerapan Shannon Entropy untuk Evaluasi Kualitas Kode Program
Program code quality is an essential aspect of software development because it affects the system's readability, maintainability, and sustainability. Code quality evaluation is generally carried out using conventional metrics such as Lines of Code and Cyclomatic Complexity. Still, these metrics are not fully able to capture the regularity of the code structure. This study aims to apply Shannon Entropy as a quantitative indicator in evaluating program code quality. The study uses a quantitative approach with a case study of one software application comprising five source code files. The analysis is carried out through a code tokenization process to obtain the token distribution, followed by the calculation of token probabilities and Shannon Entropy values based on information theory. The results show that the entropy values ​​in each file vary. The file with the highest number of tokens (6,098) produces the highest entropy value of 9.9427, while the file with the lowest number of tokens (435) has the lowest entropy value of 7.3243. Other files show entropy values ​​of 8.1743, 7.6099, and 7.8465. The variation in entropy values ​​reflects the differences in the level of regularity and complexity of the code structure in each file. The research findings show that Shannon Entropy can be used as a complementary metric to evaluate the quality of program code and can quantitatively distinguish the level of regularity in code structure. Keywords: Entropy Shannon; kualitas kode; penerapan; program; Tokenisasi;
Entropy Shannon; kualitas kode; penerapan; program; Tokenisasi;
Copyright (c) 2025 Jurnal Rekayasa Informatika https://creativecommons.org/licenses/by/4.0
Rancang Bangun Sistem Pengelolaan Luaran Akademik Dengan Metode Kanban di Universitas CIC
Dalam rangka meningkatkan mutu pendidikan dan mempertahankan kualitas institusi, Universitas Catur Insan Cendekia (UCIC) berupaya memenuhi standar akreditasi melalui peningkatan kinerja Unit Pengelola Program Studi (UPPS). Salah satu aspek penting adalah pengelolaan luaran akademik yang mencerminkan hasil pelaksanaan Tridharma Perguruan Tinggi. Saat ini, belum tersedia sistem terintegrasi untuk mengelola luaran akademik seperti publikasi ilmiah, HKI, dan produk lainnya, sehingga pencatatan, pemantauan, dan pelaporan kurang efektif. Tidak adanya tampilan visual seperti grafik data atau dashboard juga menyulitkan analisis. Penelitian ini bertujuan merancang dan membangun sistem informasi luaran akademik berbasis web dengan metode kanban sebagai pendekatan manajemen pengembangan sistem. Metode kanban meliputi enam tahap utama: Backlog (penyusunan kebutuhan fitur yang diinginkan), ToDo (penjadwalan prioritas), Doing (implementasi menggunakan Laravel Framework), Testing (pengujian black-box dan System Usability Scale), Done (penyelesaian fitur), dan Deployment (penerapan sistem). Hasil pengujian menunjukkan sistem berjalan sesuai fungsi dan menyajikan data luaran secara akurat serta informatif. Penilaian System Usability Scale menghasilkan skor rata-rata 78,5 dengan adjective rating “Good” dan grade letter “B”. Penerapan kanban terbukti membantu menjaga fokus dan alur kerja terstruktur, terutama dengan pembatasan jumlah pekerjaan yang sedang berjalan (Work In Progress). Dengan adanya sistem ini, UCIC diharapkan dapat meningkatkan kualitas layanan akademik, mendukung proses akreditasi, dan menyediakan alat bantu digital untuk evaluasi kinerja luaran akademik secara menyeluruh.
Implementasi Data Mining Menggunakan Algoritma K-Means untuk Pengelompokan Data Keluhan Pelanggan pada Perumda Tirta Musi Palembang
This study discusses the application of the K-Means Clustering algorithm to assist Perumda Tirta Musi Palembang in grouping customer complaint data. The main challenge faced is the high volume of complaints received annually, yet there is no existing system or method capable of efficiently clustering and analyzing this data. Using the Knowledge Discovery in Databases (KDD) approach, the process involves data collection, pre-processing, transforming categorical data into numerical form, and clustering using the K-Means algorithm. A web-based support system was also developed to make this process practical for operators or administrators, not just a one-time process. The final results divide customers into two main clusters: the priority cluster (high complaints) and the stable cluster (low complaints). This segmentation supports more accurate decision-making in efforts to improve service quality.
Strategic Information Systems/Information Technology Planning to Improve the Quality of Healthcare Services at ABCD Hospital
ABCD Hospital is a provider of quality health services to the community. Even though it has an integrated Information System and Information Technology (IS/IT), there are several problems that exist in the Hospital, namely the use of IS/IT which is not yet optimal because a number of employees still experience obstacles in using it. Therefore, this research aims to make proposals for the preparation and form of an IS/IT strategy plan at Rumah ABCD. The methodological approach used is Ward and Peppard. To facilitate research, there is a need for analytical techniques such as CSF (Critical Success Factor) Analysis, Value Chain Analysis, Porter's Value Chain Analysis, SWOT Analysis, McFarlan Grid's Application Portfolio. The results of this research are in the form of proposals for IS/IT strategy planning at ABCD, including the application portfolio and hardware software infrastructure needed now and in the future, IS/IT management strategies in the form of adding subsections to the Home IT division. Sick. With IS/IT strategic planning, it is hoped that it can provide solutions to the problems faced by ABCD.
AI Implementation in the ZapCards Application as Learning Media
The development of digital technology currently affects various areas including education. The existence of AI has a big impacts on the world of education. The impacts felt are such as the ease for students to make various innovations and help in completing various tasks given by educators. The development of digital technology also affects learning methods where many learning materials are delivered digitally through files uploaded to the application. Although this method is quite effective and also has advantages, it also has several impacts such as material that is not necessarily read and also its own difficulties for students if the uploaded material is quite a lot. With these problems, the author took the initiative to develop the ZapCards application which was created by utilizing AI technology where the results of this development are in the form of the ZapCards application which is able to summarize uploaded files and text in the form of flashcards containing questions on one side and answers on the other side. This application is made using the research and development method using the Dart programming language with the Flutter framework. This application is expected to help students understand the material and increase students' learning motivation.
Implementasi Artificial Intelligence (AI) dalam Meningkatkan Efisiensi Proses Bisnis pada platform E-Commerce
Artificial Intelligence (AI) has become a key technology in the digital transformation process, especially in the field of e-commerce. This study aims to examine the application of AI in improving operational effectiveness on e-commerce platforms, with a focus on customer service personalization, recommendation systems, and service automation. The approach used includes a literature review and case study analysis of several e-commerce platforms that have implemented AI, using the literature review method. The findings reveal that the use of AI significantly accelerates decision-making processes, improves the accuracy of recommendations, and reduces operational costs through the automation of routine tasks. Based on the literature review and case analysis, it can be concluded that AI implementation not only improves business process efficiency but also creates a more personalized and responsive customer experience. These positive impacts also enhance customer loyalty while strengthening the competitive edge of e-commerce businesses. Therefore, integrating AI into various aspects of e-commerce business is a crucial strategy for addressing market challenges in the current digital era
The Effect of AI Technology on Tiktok Algorithm on User Response and Acceptance
The development of artificial intelligence (AI) has make a big changes to the digital world, especially in the recommendation algorithm used by TikTok. The purpose of this article is to analyze the impact of AI-based algorithm responses and user acceptance. The quantitative approach used is by distributing online questionnaires to 106 TikTok users in Indonesia, and using the Technology Acceptance Model (TAM) framework. The variables used in this measurement include Perceived Ease Of Use (PEOU), Perceived Usefulness (PU), Attitude Toward Using (ATU), Behavioral Intention (BI), and Actual Use (AU). The results of this study show that TikTok's AI-based content recommendations have a significant impact on user response and acceptance. The writing of this article contributes to a better understanding of how AI algorithms affect user behavior and provides knowledge about the development of broader, user-centered digital technologies.
Perancangan dan Pemodelan Basis Data Sistem Parkir Terintegrasi QR Code Universitas ABC
With the advancement of Information Technology, there are opportunities to improve services, such as campus parking management. Conventional parking systems that rely on physical tickets and manual record-keeping often encounter various issues, including data inaccuracies, long queues, and operational inefficiencies. The objective of this study is to develop a parking information system utilizing QR Code technology to expedite the vehicle entry and exit process and minimize recording errors. The system is designed using a database modeling approach that involves an Entity Relationship Diagram (ERD), a Conceptual Data Model (CDM), and a Physical Data Model (PDM). The design results indicate that a QR Code-based parking system integrated with the campus user database can enhance parking management and support the digitalization of services within ABC University.
Parkir kendaraan, QR Code, ERD, CDM, PDM
IT Infrastructure as a Key Support in Transforming the Learning Process in Schools
The advancement of education towards the digital learning era requires reliable information technology (IT) infrastructure to support more efficient and innovative learning processes. This study aims to analyze the role of IT infrastructure in improving the quality of education, identify emerging challenges, and propose implementable solutions. The research employs a qualitative approach based on a literature review, examining various references related to the utilization of technology in education. The findings indicate that adequate IT infrastructure can support the implementation of various learning models, such as e-learning, blended learning, and flipped classrooms. These models enhance accessibility, collaboration, and flexibility in the learning process. However, several challenges, such as budget constraints, low digital literacy among teachers and students, and insufficient training, hinder effective implementation. Proposed solutions include increasing internet access, providing adequate technological devices, conducting regular digital literacy training, and fostering collaboration between the government, private sector, and community. This study highlights the importance of a comprehensive approach to IT infrastructure development to create an inclusive, adaptive, and modern education system. With well-planned strategies, schools can establish modern learning environments that support students' success in the digital era.
IT infrastructure, digital education, e-learning, digital literacy, education transformation.
Systematic Literature Review: An Analysis of IT Infrastructure Audit Methods in the Education Sector
The audit of information technology (IT) infrastructure plays a critical role in ensuring the reliability, efficiency, and security of information systems, particularly in the education sector, which increasingly relies on technology. This study aims to analyze IT infrastructure audit methods applied in the education field using a Systematic Literature Review (SLR) approach. The research focuses on journals published between 2020 and 2025 to identify the most commonly used methods and their impact on the education sector. The findings reveal that the COBIT 2019 framework is the most widely used audit method in the last five years. This framework provides effective guidance for evaluating and managing IT infrastructure. Additionally, the study finds that IT infrastructure audits in the education sector often result in improvement recommendations aimed at enhancing system performance and efficiency. This study also concludes that the SLR method is effective in systematically analyzing trends and audit methods over a specific period. The findings are expected to contribute to the development of IT infrastructure in educational institutions, thereby supporting better learning processes in the future.
Sistem Informasi Persediaan Barang Berbasis Web Pada CV. Surya Adi Pratama Palembang
CV Surya Adi Pratama is a company that operates in the printing sector. In running the business, CV Surya Adi Pratama often experiences problems in processing inventory data. The obstacle that arises is errors in writing inventory data which can cause losses to the company. Apart from that, it is difficult to find inventory data when needed because the data is stored in any place. To overcome this problem, an inventory information system was created as a solution to overcome the obstacles that occurred at CV Surya Adi Pratama. This system was built using the Rational Unified Process (RUP) methodology which includes the Inception, Elaboration, Construction and Transition stages. This system design is explained through rich pictures, use case diagrams, and entity relationship diagrams (ERD). This application was built using the PHP programming language and MySQL database. The main aim of this application is to speed up the process of searching and managing inventory data, as well as increasing accuracy and efficiency in data processing
Copyright (c) 2024 Jurnal Rekayasa Informatika https://creativecommons.org/licenses/by/4.0
Analisis Penerapan Artificial Intelligence (AI) di Berbagai Bidang
Artificial intelligence (AI) has become a very important technology in various fields in this era, helping organizations to improve efficiency and effectiveness in decision making. This research aims to identify the fields that most frequently apply AI technology and from 2020 to 2024. The method used in this research is System Literature Review (SLR), which enables in-depth and systematic analysis of relevant scientific literature. The results show that the education field is the most frequently implementing AI, with a usage percentage of (50%), followed by the healthcare sector with (30%). Other fields that also show significant adoption include agriculture (10%), entertainment (5%), and government (5%). The research reveals that AI is mainly used to improve learning and administration in the education sector and to increase the efficiency of diagnosis and treatment in the healthcare sector. The findings provide deep insights into AI application trends and its development potential in various sectors, which can serve as a basis for further research and innovation in the future.
Desktop Based Medicine Stock Application at Community Health Centers 11 Ilir Palembang
Information technology is currently developing very quickly so if you don't keep up with current technological developments you will be left behind. Puskesmas 11 Ilir is one of the health service units on Jl. Slamet Riady No. 455, 11 Ilir, Kec. Ilir Tim. II, Palembang City. Currently, especially the pharmacy department does not have a special application for managing incoming and outgoing drug data, the current process is that the pharmacy section utilizes Microsoft Excel technology which is used to create drug reports and to manage incoming and outgoing drugs using stock cards. A process like this can cause various problems, so a special application is needed to manage incoming and outgoing drug data which can solve the problems currently being faced. The aim of creating a desktop-based drug stock application at Puskesmas 11 Ilir Palembang is to make it easier for the warehouse and service departments to manage incoming and outgoing drugs, to minimize the time needed to find out drug stock and to be able to print drug reports. The method used in making this application is using the iteration method and using a MySQL database. Thus it can be concluded that the application that has been created can help the warehouse and service departments in recording, storing, knowing stock amounts, data search processes, and can print data reports on warehouse medicines and service medicines.
Komparasi Metode KNN Imputation Dan Random Forest Untuk Hasil Klasifikasi Data UMKM
MSMEs play an important role in economic growth in Indonesia. The improvement of MSMEs carried out by the government is based on precise data. Data incompleteness is a problem in managing MSME data. Handling Missing valus in MSME data is important. The imputation method is a method taken in handling missing data. Many researchers have handled missing data with various methods. The purpose of this study is to compare or compare the K-Nearest Neihbor method with Imputation (KNNI with Random Forest) in overcoming missing data on MSME datasets in one of the districts in South Sumatra. The evaluation is done using the score accuracy and mean absolute percentage error (MAPE) methods. Our results show that Random Forest imputation consistently outperforms KNN imputation across various scenarios. Specifically, the Random Forest approach achieved an accuracy score of 0.9958, while the KNN score achieved an accuracy of 0.9916. In addition, using MAPE, Random Forest has a lower average error rate of 0.41%. In future research, it is necessary to further improve the accuracy results by optimizing each method.
Today's information technology is evolving so fast that a company can upgrade and implement computerized technology. The Ellyza Maternity Home is a maternity home that provides health services in the process of maternity examination, childbirth and gymnastics of pregnant mothers. Currently, Ellyza's maternity has no application that can record patient data and store all patient data, so this process can cause problems, i.e. poorly understood writing. Medical records become a very important process to know the history of patients who will return to the consultation. Implementation of desktop-based applications and data storage media using SQL server database that ensures the results of patient medical records are effective and efficient by building applications using methods of development of iteration system with phases of planning, analysis, planning, implementation, use. With the method of the development of the iterated system is expected to overcome the challenges of efficiency of medical records of patients ultrasonography at the Ellyza maternity home. The final result is the application of medical record patients ultrasonicography can make it easier for Ellysa maternity in carrying out the process of management of staff data, patient data, examination data etc. can print medical record cards, output data etc., can improve the quality of health services for patients and facilitate staff reporting to leaders. The conclusion is that the application can help, facilitate and improve the work performance of Ellyza's maternity care officer. Keywords: Technology; Applications; Medical Records; Iteration; Patient
Pengujian Aplikasi Kapten Printing Metode Boundary Value Analysis dan Metode Equivalence Partitioning
The Kapten Printing application is a system designed to facilitate customers in placing orders and storing order records, thereby playing an important role in the company’s operational processes. This study aims to evaluate the Kapten Printing application to identify potential errors or deficiencies using Black-Box Testing techniques, namely Boundary Value Analysis (BVA) and Equivalence Partitioning (EP). The research method follows the Software Testing Life Cycle (STLC), which includes requirements analysis, test case design, test case execution, and evaluation of testing outcomes. The results indicate that the Kapten Printing application is able to process valid inputs and reject invalid inputs by providing appropriate error messages. Testing with the BVA approach shows that the system performs properly at extreme input boundaries, while EP testing demonstrates that the system can handle various input variations in a stable manner. Overall, both BVA and EP achieved a 100% conformance rate, indicating that the system behaved as expected across the evaluated boundary values and equivalence classes.
Analisis Penerapan Internet of Things: Systematic Literature Review
The Internet of Things (IoT) has emerged as one of the most significant technological innovations in recent decades, with the potential to transform various industrial sectors and everyday life. IoT refers to a network of interconnected devices that can communicate and share data over the internet without requiring human-to-human or human-to-computer interaction. With the increasing adoption of IoT, we can expect improvements in operational efficiency, quality of life, and sustainable economic progress. IoT enables devices to collect data in real-time, analyze it, and automatically take actions based on the analysis results. This capability allows for process optimization, increased productivity, and significant cost reduction. This research employs the Systematic Literature Review (SLR) method to identify, review, evaluate, and interpret studies on the application of IoT in various fields. The methods used in the analysis of IoT implementation include waterfall, prototype, qualitative, quantitative, descriptive, and Research and Development. The research findings indicate that the Prototype method is the most widely used and effective in analyzing IoT applications. Moreover, the application of IoT is not limited to system design but also extends to its implementation in various fields such as transportation, agriculture, government, and healthcare. Several factors driving IoT implementation include current technological advancements and the desire to improve efficiency and simplify processes. This study aims to assist in the development of IoT and serve as a valuable reference for researchers, practitioners, and policymakers in understanding and optimizing IoT applications across various sectors.
Systematic Literature Review: Penggunaan Artificial Intelligence Sebagai Teknologi Pendukung
AI allows computers to learn, adapt, and make decisions independently without human intervention. This is revolutionizing the way information systems are designed, run, and used. The extraordinary progress of AI has resulted in advanced innovations that are in line with the latest developments. This research aims to identify which fields have used AI as a supporting technology from 2020 to 2024. The research method used is Systematic Literature Review (SLR), which allows in-depth and systematic analysis of related scientific literature. The results show that the education sector is the sector that applies AI the most as supporting technology with a percentage of (42%), followed by the health sector around (18%), then the economic sector (9%), and (30%) in other fields. This research shows that AI is being used to improve learning and administration in the education sector as well as increase the efficiency of patient diagnosis and treatment in the health sector. These results provide knowledge about AI and its potential that can form the basis of future research and innovation. However, we should also be aware of the challenges and risks faced by ensuring the ethical use of AI and protecting user privacy data.
Analisis Implementasi Internet Of Thing Dalam Bidang Kesehatan: Systematic Literature Review
The Internet Of Things (IoT) enables remote and real-time monitoring of patient conditions in the healthcare field using connected devices and advanced sensors. This study employs the Systematic Literature Review (SLR) method to assess the application of IoT in healthcare, including patient monitoring, early diagnosis, and chronic disease management. The five stages of SLR include Research Question, Search Question, Inclusion and Exclusion Criteria, Quality Assessment, and Data Collection. The results of this study show that IoT can make processes more efficient, deepen clinical decision-making, and provide significant benefits for doctors.
Analisis Sentimen Terhadap Boikot Produk Israel Menggunakan Algoritma Naive Bayes Dan SMOTE
The conflict between Palestine and Israel, which has been going on for approximately 6 decades, has triggered a wide variety of reactions in various countries. The reaction carried out by the Indonesian people is the Boycott of Products affiliated with the state of Israel as a form of solidarity and moral protest against this prolonged conflict. This research was conducted to analyze the sentiment of the Indonesian people towards this Boycott Action on the YouTube Shorts video sharing platform. Sentiment analysis conducted in this study uses the Naive Bayes algorithm and text preprocessing techniques, namely the SMOTE technique with 2433 public comment data. The final results show that the Naive Bayes algorithm has a high level of effectiveness in predicting sentiment on comment text with an accuracy of 94%. The accuracy level can be achieved that the algorithm model is trained with data division of 60% training data and 40% testing data.
Analysis of the Benefits of Implementing Robotics in Healthcare: A Systematic Literature Review.
The swift advancement of technology has brought about significant changes across various sectors, including healthcare. One of the most promising innovations is robotics. Originally developed for industrial and military purposes, robotics has now made its way into the medical field, significantly impacting the delivery and management of healthcare. The integration of robotics in healthcare has led to transformative innovations that hold great promise for the future of medical services and rehabilitation. To assess the benefits of robotics in healthcare, this study employs the Systematic Literature Review (SLR) method. This method involves five stages: formulating research questions, conducting search queries, setting inclusion and exclusion criteria, performing quality assessments, and collecting data. SLR is a research and development methodology designed to gather and evaluate studies related to a specific topic systematically. This approach aims to provide a comprehensive analysis of how robotics has been utilized in healthcare and the benefits that have emerged from its application. The findings of the study indicate that robotics offers numerous advantages in the healthcare sector. Robotics not only enhances the quality of healthcare services but also provides innovative solutions to the challenges of managing healthcare facilities. The research concludes that the integration of robotics into healthcare represents a significant advancement towards improving the quality and accessibility of medical services.
SalaryMSI Application Testing Using Boundary Value Analysis and Equivalence Partitioning Methods
The SalaryMSI application is a system designed to manage and calculate employee salaries, which play a crucial role in company operations. This research aims to test the SalaryMSI application to identify errors or deficiencies using Blackbox Testing testing techniques, namely Boundary Value Analysis (BVA) and Equivalence Partitioning (EP). This research method follows the Software Testing Life Cycle (STLC) flow which includes requirements analysis, creating test cases, testing test cases, and evaluating test results. The test results show that the SalaryMSI application is able to handle valid input and reject invalid input by providing appropriate error messages. Testing with the BVA method shows that the system functions well at extreme points of input, while the EP method shows that the system is able to handle different input variations stably. The results of this test are based on tests using the BVA and EP methods, both have 100% conformity. Which shows that the system functions well in testing the combination of partitions and boundary values.
Analisis Implementasi Internet Of Things Di berbagai Bidang
The implementation of the Internet of Things (IoT) has revolutionized various aspects of modern human life. This study aims to analyze the application of IoT in the fields of technology, agriculture, healthcare, education, and livestock. The research methodology includes problem identification, literature review, instrument design, data collection, data analysis, and interpretation of results. Data were collected from various journals published between 2020 and 2024 and evaluated based on inclusion and exclusion criteria. The research results show that the application of IoT is most dominant in the field of technology (60%), followed by agriculture (15%), education (10%), livestock (10%), and healthcare (5%). This study highlights the importance of IoT in enhancing efficiency and productivity across various sectors and provides insights into trends and preferences in IoT usage. The conclusion of this study indicates that IoT plays a significant role in advancing technology and offers intelligent solutions to various challenges in these fields. Therefore, the development of IoT infrastructure, increased awareness, and training in IoT usage are essential to maximize the potential of this technology. Collaboration between various sectors is also crucial to ensure effective and sustainable IoT implementation.
Internet of Things, IoT Application, Technology.
Analisis dan Pengujian dengan Menggunakan Value Analysis dan Metode Equivalence Partitioning
"The Employee Bonus Calculation Application for Alfa Skin Care Clinic is designed to support the HR team in efficiently calculating employee bonuses. To ensure this application functions according to specifications, software testing was conducted using the Black Box approach, specifically through Boundary Value Analysis and Equivalence Partitioning methods. Boundary Value Analysis focuses on testing input boundaries, while Equivalence Partitioning separates data into valid and invalid partitions to expedite the testing process. Through a systematic Software Testing Life Cycle (STLC), this testing ensures all stages are thoroughly followed. The testing results showed that the application is error-free. Boundary Value Analysis achieved 100% accuracy in 14 test scenarios, and Equivalence Partitioning found no errors in its 8 test scenarios. This confirms the effectiveness of both methods in evaluating and detecting system errors. In conclusion, thorough and proper testing implementation is crucial to minimize system errors.
Analisis Implementasi Robotic Di Bidang Pendidikan: Systematic Literature Review
Robotic Process Automation (RPA) is software that mimics human actions to complete rule-based tasks, playing a significant role in the modern world. Robots enhance the quality of life through technological advancements and are essential in education for improving students' practical skills and providing new insights through video animations and information system learning applications.Early childhood education is crucial, and the "4C" skills—critical thinking, problem-solving, innovation, creativity, cooperation, and communication—are vital for facing global challenges and the Society 5.0 era. Technology integrates the real and virtual worlds, allowing machines to collect, analyze data, and make decisions. This research employs the Systematic Literature Review (SLR) method to analyze literature on robotic programming, artificial intelligence, machine learning, sensors, actuators, and mechanical and electronic design. Robotics can solve complex educational problems and has the potential to be engaging teachers, helpful assistants, personal tutors, and compassionate therapists, thereby expanding educational access, personalizing learning, and increasing student motivation. However, challenges like costs, teacher training, and ethics need to be addressed. With proper implementation and planning, robotics holds great potential for creating a brighter, more engaging, and accessible future for education.
Utilization of Artificial Intelligence (AI) Technology in the Field of Education: A Systematic Literature Review.
The rapid advancement of technology in the modern era has led to various new innovations, including artificial intelligence (AI), which can be utilized in multiple aspects of human life. The use of AI can significantly enhance productivity by transforming the way education is delivered, evaluated, and how curricula are developed. AI supports learning and prepares the younger generation for a world increasingly dominated by technology. However, there must be a balance in utilizing technology so that AI reduces human workload without replacing the role of teachers. A good understanding of the use of AI in education is necessary to maximize its benefits. This research uses the Systematic Literature Review (SLR) method to understand the utilization of AI in education, concluding that AI can perform tasks that typically require human intelligence in the field of education.
Optimalisasi Produktivitas dan Keselamatan Kerja melalui Implementasi Robotic Pada Industri: Systematic Literature Review
Robotic technology involves the automated system using robots to replace or support human activities in industries, enhancing production efficiency and workplace safety through the integration of artificial intelligence and machine learning. This study reviews the Implementation of Robotic Technology to assess its impact in the Industry, employing the Systematic Literature Review (SLR) method by collecting relevant articles via Google Chrome, focusing on Google Scholar, yielding a total of 10 articles from 2019 to 2024. The implementation of robotic technology in manufacturing industries has demonstrated its ability to enhance operational efficiency and workplace safety, while facilitating rapid adaptation to market demand changes. However, research indicates challenges such as high initial costs and the need for adequate technological infrastructure. Further research is necessary to optimize the implementation of robotic technology to address these challenges and ensure maximum benefits for the industry.
Pengujian Black Box pada Aplikasi e-Promkes Berbasis Web Menggunakan Teknik Equivalence Partitions
Software testing is a critical process in information system development, aiming to ensure that the developed software functions according to the expected specifications. In the context of the web-based e-Promkes application, software testing becomes even more significant as this application serves as a primary tool for Mohammad Hoesin Hospital (RSMH) in recording and reporting internal hospital activities. Therefore, comprehensive and structured software testing is essential. This research aims to conduct Black Box Testing on the e-Promkes application using the Equivalence Partitioning (EP) technique, with the primary focus of testing on the PEH form feature. Black Box Testing allows testers to evaluate how the application handles inputs and produces the corresponding outputs. The Equivalence Partitioning technique divides input data into partitions based on valid and invalid values, enabling more effective testing of various input conditions. The research method employed follows the STLC (Software Testing Life Cycle) approach, encompassing various critical stages to ensure that software testing is conducted effectively and meets the predefined requirements. The test results indicate that out of eight test cases, all showed compliance with a 100% conformity rate. This indicates that the PEH form feature on the e-Promkes application functions well according to the established specifications and is capable of providing correct responses to various input conditions.
Analisis Peran dan Implementasi Robotic Diberbagai Bidang: Systematic Literature Review
The development of robotics technology has transformed various aspects of modern life, including industry, healthcare, and agriculture. This research uses the Systematic Literature Review (SLR) method to explore and evaluate how robotics technology is being adopted in various sectors. The main focus of the research was to answer three key questions: (1) What are the fields that have implemented robotics technology? (2) What is the role of robotics implementation in each of these fields? (3) How is it specified in the context of different fields? The results of the analysis show that robotics technology has been widely used in a number of sectors. For example, in the manufacturing industry, robotics automates production to improve efficiency and product quality. In the healthcare sector, robots support medical and rehabilitation procedures. While in agriculture, they help in the process of planting, harvesting, and land management.The role of robotics technology varies depending on the complexity of the task at hand in each field. The ability of robots to automatically execute repetitive tasks reduces errors and increases efficiency. However, challenges such as cost and technology adaptation remain a focus for wider development in the future.This study provides an in-depth insight into the advancement of robotics technology, its potential, and the challenges that must be overcome for wider deployment in the future.
Analisis Penerapan Teknologi Virtual Reality: Systematic Literature Review
Virtual Reality (VR) technology has changed many things, such as education, healthcare, tourism, business, and architecture. This study collected and evaluated relevant research articles that were published between 2019 and 2024 and utilizes the Systematic Literature Review (SLR) Method to thoroughly analyze the Systematic Literature Review (SLR) method to thoroughly analyze the applications, impacts, and areas of VR technology. The results showed that virtual reality improves students' creative thinking skills, supports interactive learning experiences, helps with health rehabilitation, and increases user engagement in tourism and business marketing. Nonetheless, further research is needed to optimize VR's potential in various industries, especially in neurology, conservation, architecture, and property marketing applications. architecture, and property marketing. This review shows the current advantages of VR and its potential in many fields to shape future progress.