Implementation Of Promotion Push Notifications in Ticket Booking Applications Using Forward Chaining Algorithm

Each tool and part contained in a coffee maker has its own level of importance and may not function optimally. This problem often becomes a problem for users or bartenders on duty at work. To overcome this problem, this can be done by someone who has basic knowledge of Lamarzocco coffee makers. However, sometimes these problems also require a high level of expertise from the components so that special technicians are needed to repair them. How to design an expert system application with the forward chaining method to diagnose failures in Lamarzocco coffee machines. In this research the author used the PHP programming language and MySQL database. The research method used by the author is data collection, analysis and object-oriented programming. The program can then be accessed on the website for ease of use, which will then be black box tested with the manager or supervisor of the relevant point of sale. The results of research on the design and application of an expert system using the forward chaining method can diagnose damage to an espresso coffee maker (Lamarzocco coffee maker), this expert system application can be used to assist employees in handling damage to a Lamarzocco espresso machine very well without any problems occurring, and From the results of trials using black box testing on the Lamarzocco coffee machine damage expert system application, we got good results

Indonesia is an <span>ASEAN country with the most motorcycle users, where one-third of its population own motorcycles. The automatic motorcycle is the most widely used type due to its agility and fuel-efficient abilities. Sudden motorcycle damage could hamper the users' activities. However, most of these users do not know the reason for the damage. This paper presents the development of expert system for diagnosing the damage of motorcycle using forward chaining method. This system was implemented in mobile application. Through a mobile application, a solution for these users can be obtained. This application immediately discovers the damaged location and repair process. Furthermore, it acts as the first solution before motorcycle repair is carried out in a shop. In this study, the forward chaining method was implemented. It is based on a pattern-matching algorithm whose primary objective is to match facts (input data) with appropriate rules from the rule base. Various test results showed that the diagnostic application used for automatic motorcycle damages 100% worked.</span>

Penelitian ini mengimplementasikan metode forward chaining untuk mendiagnosis penyakit berdasarkan gejala. Forward chaining dimulai dari fakta-fakta yang diketahui (gejala) dan menggunakan aturan inferensi untuk mencapai kesimpulan. Dalam penelitian ini, gejala yang dilaporkan pasien dianalisis untuk mendiagnosis penyakit seperti malaria, influenza, dan COVID-19. Sistem ini menggunakan aturan "jika-maka" untuk menghubungkan gejala dengan kemungkinan penyakit. Dikembangkan menggunakan Python, sistem ini terdiri dari basis pengetahuan yang berisi fakta dan aturan, serta mesin inferensi untuk memprosesnya. Data dikumpulkan dari sebuah klinik kecil di Hamadi melalui wawancara dengan dokter. Hasil menunjukkan bahwa forward chaining efektif dalam mendukung diagnosis penyakit berdasarkan gejala, meskipun tetap diperlukan konfirmasi oleh tenaga medis profesional

The library is a school facility for managing the provision of textbooks and accompanying books related to general science, technology and other applied sciences. The library system at SMA Negeri 1 Dolok Pardamean is still not computerized, data management is still carried out using master book records. For this reason, a computerized system or computer application program is needed that can speed up and simplify the data processing process from the library at SMA Negeri 1 Dolok Pardamean. Research on designing a web-based library information system at SMA Negeri 1 Dolok Pardamean was carried out using the Software Development Life Cycle (SDLC) method. ) with a waterfall model. The web-based school library information system at SMA Negeri 1 Dolok Pardamean was developed using the CodeIgniter4 framework with the PHP programming language and MYSQL database. Based on the Alpha test results (black box and white box testing) it can be concluded that all test results are good and the Alpha test was successful. Furthermore, based on the results of beta testing in validation, experts obtained a percentage score of 89.5% with the statement strongly agree and the average value of the user questionnaire assessment was 86.64% with the statement strongly agree. Based on the results of the research and testing above, it can be concluded that the web-based library information system at SMA Negeri 1 Dolok Pardamean which was designed is a functional requirement which is expected to make it easier for library staff to manage and input book data.

Hydroponics systems require tremendous attention both in nutrition, plant growth, the risk of pest and disease attacks. Thus, this hydroponic farming system requires high experience and expertise that is the main obstacle for business actors who want to start a vegetable cultivation business with a hydroponic system, especially for business actors who do not have a background in agriculture. The hydroponic cultivation expert system in this study aims to detect plant diseases and pests and provide solutions to these diseases. In addition, this expert system application also aims to monitor plant needs, so this application can help farmers grow up hydroponic vegetable cultivation businesses. The combination of the forward and backward chaining methods is applied to detect plant diseases and pests. Whereas the forward chaining method use to monitor plant needs. The combination of the forward and backward chaining methods in identifying plant diseases and pests can make it easier for users to determine the suffered by plants and provide information about these diseases. The application of the forward chaining method in monitoring plant needs can identify the level of fulfilment of entails of each component of plant needs according to the type of plant and the day after planting. The application of this hydroponic expert system can overcome the limited number of hydroponic experts in helping farmers identify plant diseases and pests and monitor plant needs.

The development of Internet technology has increased the number of internet users and affected people's lives at large. As a telecommunications company, PT. Telkom Indonesia Tbk. (Telkom) provides Indihome services, has an increasing number of customers. To meet customer needs, Telkom gave responsibility to the Access Service Operation (ASO) unit at Witel Purwokerto to supervise and control Indihome services. However, the recording of complaints by the Access Service Operation (ASO) unit is still done manually, resulting in duplicate orders and recording imperfections. Based on the existing problems, the author designed a complaint report system that uses methods such as the System Development Life Cycle (SDLC) Prototype model to overcome these problems and uses black box and white box testing methods. The purpose of this study is to build a system that will facilitate Witel Purwokerto's Access Service Operation (ASO) unit in accommodating data on complaint reports made by whistleblowers. The system is built using PHP programming language with the help of Laravel framework, and as database management using MySQL. The test results of the system with the black box and white box methods showed 99.74% success for black box testing, and the white box test results showed 100% success. It can be concluded that every function on the dashboard website reports complaints of internal system constraints in this study runs well.

Chapter 6 - Going Further

Software testing is a critical and time-consuming element of the software development life cycle (SDLC). Software testing determines the quality of a software before it is used by end users. The main goal is to find software errors or defects so that these errors or defects can be corrected in this testing phase. There are two general techniques for detecting software errors, namely: Black Box and White Box Testing. Black Box testing technique is used for validation, namely whether you have built the right software and White Box testing is used for verification, namely whether the software made is correct. This study aims to test the value index software using three methods of Black Box testing techniques, namely Equivalence partitioning (EP), Boundary Value Analysis (BVA) and Error Guessing. The testing process is carried out to find out how much error occurs in the value index software. The research method is qualitative descriptive and analytical. The results of this study indicate that the value index application has no shortcomings (error of 0%) both with BVA, EP and Error Guessing techniques.

The aglaonema plant is quite in demand by the public because it is a current trend and can be a business field for ornamental plant lovers. However, the growth of aglaonema plants can be hampered by disease, so a system is needed. This Aglaonema plant disease diagnosis expert system was created to determine the type of disease so that it can be overcome as early as possible. The expert system method used is the Forward Chaining method and the Naive Bayes method. The Forward Chaining method is used to make rules based on symptoms and the Naïve Bayes method to determine the results of the diagnosis. This study used 25 symptoms for 10 diseases and obtained an accuracy value of 76% using 50 data.

Corn Distribution Information System in Bandar Lampung has witnessed a significant surge in interest, highlighting the importance of ensuring system reliability and functionality. This research endeavors to investigate and enhance these aspects through the application of the black box testing approach, focusing on the user-centric perspective of User Acceptance Testing (UAT). Black box testing, a methodology emphasizing system functionality without delving into internal structures, is complemented by UAT to provide comprehensive evaluation. In executing 27 study cases to evaluate the system, 22 patients demonstrated proper functionality, while 5 issues were identified. Notably, 4 issues pertained to the unavailability of the export function to CSV, and 1 patient encountered difficulties with road letter generation facilities. The discussion elucidates that UAT through Black Box proves to be a valuable approach, effectively bridging the methodological gap of traditional black box and providing insightful input from end users. Furthermore, this methodology successfully identified 5 focal points that can serve as development suggestions for the company's system, previously undiscovered. In conclusion, the study underscores the efficiency of integrating UAT with black box in enhancing Corn Distribution Information System's dependability and functionality. Identified issues shed light on areas for improvement, emphasizing the need for ongoing research in system testing methodologies. Future studies are recommended to explore the integration of UAT with white box testing, iterative testing for bug identification, and comprehensive security testing within the system network. This approach ensures a holistic evaluation, addressing potential limitations and contributing to the continuous refinement of the information system.

Complaint handling is essential to Syiah Kuala University’s Integrated Laboratory Technical Management Unit (ILTMU) services. However, manual complaint handling at ILTMU requires more time and energy and increases the staff workload. Complaint handling is necessary to continuously improve the performance efficiency and service quality provided by ILTMU. Therefore, to solve the problem of handling complaints manually, this research intends to design and develop a web-based complaint management system at ILTMU of Syiah Kuala University. The proposed system uses the Goal-Directed Design method, while the development process follows Scrum. The system was developed using Flask and some services from the Google Cloud Platform, namely, the Google App Engine and Google Cloud Datastore. The system is divided into four unique user groups. Each has access privileges and responsibilities: operators, Management, Follow-up, and Customers. Each of these user groups has its distinctive features. The entire features of this application were tested using both Black Box and White Box testing. All system functions were successfully executed using the Black Box testing technique. Meanwhile, the White Box testing returned a value of 100\% passed, indicating that the function being tested is error-free. A usability test was conducted with 20 respondents representing each user group using the USE Questionnaire on a 7-point Likert scale. The usability test results gave an overall average value of 6.13, which suggests that people have a positive attitude toward the system and that it is practical, easy to use, easy to learn, and satisfying.

Web applications are widely used in today's digital landscape, necessitating robust security measures to protect against unauthorized access by malicious users. Ensuring the security of these applications requires effectively identifying and addressing vulnerabilities. This paper proposes an automated methodology for vulnerability detection, utilizing a genetic algorithm to generate test cases, which offers greater efficiency and performance compared to resource-intensive and time-consuming manual approaches. Our research highlights the effectiveness of genetic algorithms as test data generators, leveraging insights from previous studies. Given the varying severity of Structured Query Language (SQL) injection attacks, those capable of executing destructive commands, such as the "drop" command, pose a more significant threat than those that merely disclose information. We employ both white-box and black-box testing methodologies to detect SQL injection vulnerabilities. Black box testing is utilized when the source code is unavailable, while white box testing is applied when the source code is accessible. Our findings suggest that white box testing, particularly static analysis, is more effective in identifying vulnerabilities. This study aims to enhance web application security by utilizing genetic algorithms to generate optimal test cases for vulnerability detection, providing a comprehensive approach that integrates white-box and black-box testing.

Disorders of the eye become a disease that is often experienced. There is a new symptom model found, causing confusion that occurs. Diseases of the eye often attack humans, especially in the current era of digital technology, because they spend more time staring at cell phone or computer screens. So the application of this expert system is made to provide solutions for the community to diagnose the symptoms that are often experienced. In making this application, the forward chaining method and certainty factor are used in the application built and comparison with the combined forward chaining and naive Bayes method. The test is carried out by testing 40 data samples based on existing symptoms, carried out by the system and also manually to see the accuracy of the values given. The results given are that there is a fairly high level of certainty in the diagnosis of hypermetropia with a certainty value of 88.43% and the smallest certainty value in the diagnosis of presbyopia with a value of 61.702% of the total testing obtained a probability level of certainty ranging from 51%-79%.

Three problems i.e. inapplicability, redundancy, uncertainty of UML are discussed. In order to solve these problems, some ideas are given, including using business variables instead of classes, using system discrete events instead of use case diagrams, using requirement function instead of statechart diagram. New life cycle model is studied. New core ideas are proposed, including that requirement can not be refined step by step, and white box testing and black box testing are no longer differentiated but white box branches and black box branches are distinguished. Finally, the next step work is given.

Expert systems are a branch of artificial intelligence designed to mimic the ability of an expert to make decisions or solve problems in a particular field. This study aims to develop a web-based expert system capable of performing diagnoses using the forward chaining method as an inference mechanism. This system is intended to help the public recognize specific problems, particularly in the field of health. Unfortunately, people often lack access to professional psychological services. This study aims to build web-based expert system that can help make an initial diagnosis of mental disorders using forward chaining method. This system is designed to collect symptoms from users, process them using a rule base determined by experts, and provide automatic diagnosis results. In its development, the system uses the PHP programming language and MySQL database to store symptom data, disease information, and consultation results. The inference process is conducted sequentially (forward chaining) based on the symptoms selected by the user until a conclusion is reached regarding the type of mental disorder and its likelihood. Testing results indicate that the system can provide reasonably accurate results in identifying users' mental conditions based on the symptoms entered. This system is expected to serve as a useful initial consultation tool, particularly in communities with limited access to mental health services. However, this system is not intended to replace the role of professionals but rather as a form of technological support to aid in early detection.