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Hijaiyah letters have varying shapes, and some of them are very similar, often causing errors in the manual character recognition process. This study aims to classify Hijaiyah letters based on digital images using the Convolutional Neural Network (CNN) method. This method was used in this study with a dataset consisting of 28 letter classes and a total of 4,480 images obtained from various public sources and private data. All images underwent a preprocessing stage that included labeling, resizing, normalization, and augmentation, then were divided into three parts, namely training data, validation data, and test data with a ratio of 70:20:10. The training process was carried out using the Python programming language with the help of the TensorFlow and Keras libraries on the Google Colab platform. The test results showed that the CNN model achieved an accuracy of 97.10%, with an average precision, recall, and F1-score of 0.97, respectively. Classification errors only occurred in letters that had similar shapes, such as Syin and Sin. Based on these results, the CNN method proved to be effective, efficient, and accurate in recognizing Hijaiyah letter image patterns, so it can be used as a basis for developing classification models with higher accuracy in the future.

Knowledge must be managed effectively to facilitate transfer between individuals, groups, and organizations. The Informatics Engineering study program currently lacks a system for knowledge management. Currently, the study program facilitates offline discussion forums for the sharing of knowledge gained by lecturers and students. These offline discussion forums require significant costs, time, and space, often resulting in delays in knowledge sharing. This research focused on the analysis and design of a Knowledge Management System to meet the needs of Informatics Engineering students at Universitas PGRI Madiun. The system development method used was the Knowledge Management System Lifecycle (KMSL). In this study, the TIF KMS system using the KMSL method has been successfully built. The results of testing using the Blackbox Testing method showed that 5 scenarios and 18 cases were successfully executed as expected with a 100% success rate. Based on the system test results, the TIF KMS is ready to proceed to the implementation stage. Future implementation can be done by developing additional features such as a digital library

Improving the accuracy of emission monitoring in the Continuous Emission Monitoring System (CEMS) is crucial to support compliance with environmental regulations, especially in gas and steam-based power plants (PLTGU). At PT Jawa Satu Power's PLTGU, the purging system on the CEMS sample probe is still performed manually and limited to scheduled preventive maintenance, potentially reducing emission data reliability due to particle contamination. This study aims to design and simulate an automatic purging system based on a Programmable Logic Controller (PLC), taking into account technical parameters such as timer, gas pressure, temperature, and sample flow rate. The system design was carried out through the modeling of automatic control logic using CX-Programmer software, with a protection approach based on real-time conditions and timing. The design results show that the automatic purging system can improve cleaning consistency, reduce the risk of contamination, and enhance the integrity of emission monitoring data. This study is expected to serve as a foundation for developing a more applicable and integrated automated purging system for CEMS in the future.

The food security program involving chili cultivation in Pentur Village is hindered by inefficiencies in water use and suboptimal plant growth, primarily due to traditional irrigation methods that fail to consistently maintain ideal soil moisture and temperature. This issue is exacerbated by unpredictable environmental shifts, such as fluctuating weather patterns, and a lack of precise irrigation control stemming from technological limitations. To address this, a system for monitoring and regulating chili plant irrigation using IoT technology was developed. This system employs humidity and temperature sensors connected to an IoT platform like Blynk, enabling real-time observation of plant and environmental conditions. Data on soil moisture, air temperature, and humidity are stored in a database, and irrigation is automated based on soil moisture levels. The goal is to enhance water efficiency, minimize risks associated with over or under-watering due to environmental variations, and improve both yield and quality of the chili crop. This IoT-based system aims to simplify chili plant management for Pentur Village farmers and significantly boost agricultural output.

State Senior High School 7 Surakarta is one of the public schools located in Surakarta City. The library activities, including member data management, book processing, and book borrowing and returning, are still conducted manually using physical logbooks. This manual process is considered inefficient and prone to errors. The purpose of this study is to develop a book borrowing system at State Senior High School 7 Surakarta that serves as a tool to assist officers in recording, loans, and returning books. This system is designed using the CodeIgniter framework to support WEB displays, programming in PHP, and using MySQL for database management. This system is created using the System Development Life Cycle (SDLC) method with a waterfall model that includes the stages of analysis, design, implementation, testing, and maintenance. System testing was conducted using Black-Box Testing and the System Usability Scale (SUS). The Black-Box Testing results showed that all features and functions operated correctly. The SUS evaluation produced a score of 75.68%, indicating that users generally agreed with the implementation of the system, which falls under the "acceptable" classification.

The advancement of information technology has had a profound impact on education, including at the Universitas Bina Sarana Informatika (UBSI), where My Best, an elearning application, was created. With this program, users may participate in a variety of academic tasks, including online attendance, discussions, assessments, assignments, and course materials. But pupils continue to face usability difficulties. The System Usability Scale (SUS) technique is used in this study to assess the usability of the My Best program. The approach included 35 current UBSI students who have been using the My Best software for more than seven semesters. According to the assessment, the average SUS score was 70, which is considered to be rather high but still needs work in terms of interface usability and user-friendliness. As a result, although the My Best app is thought to be helpful in fostering learning, improvements are needed to enhance the whole user experience.

One of the museums found in Bali is Subak museum in Tabanan Regency. The establishment of this Museum aims to preserve the traditional institution called Subak as a noble national cultural heritage, and to introduce to the younger generation and foreign tourists about the unique traditional irrigation system in Bali. Lack of supporting facilities in delivering information, making tourists who visit Subak Museum have minimal information. The solution needed in Subak museum is an Android-based E-Tourism application that is supported by Qr-Code technology so as to provide an interesting presentation of data. In making this application using the development of the Waterfall method and designed using the Unified Modeling Language (UML) with the Java programming language for Android and PHP for web services, and MySQL as a database. So that produced an android-based system in Subak museum Tabanan Regency. Based on the results of the tests carried out it can be concluded that the black box testing system functions have been running according to the planning. Then the result of the testing of users using questionnaires generated Application Benefits scores 90.8%, Ease of 86.93%, Interface 82% and Content 90.2%. 

This paper presents the design and implementation of an automatic Virgin Coconut Oil (VCO) making device using an Arduino Uno microcontroller. Virgin Coconut Oil has gained popularity due to its health benefits and versatile uses in various industries. The traditional process of making VCO involves manual effort and precise timing, which can be tedious and inconsistent. The proposed automated system aims to streamline the VCO production process by integrating sensors, actuators, and a microcontroller to achieve precise control and monitoring of the process variables. The Arduino Uno microcontroller serves as the central unit for data acquisition, processing, and control, facilitating automation through programmed logic. Key components of the automated VCO maker include temperature sensors for monitoring heating stages, a motor for stirring, and relays for controlling heating elements. The system utilizes feedback loops to maintain optimal conditions during each phase of VCO production, ensuring reproducibility and quality. The design also emphasizes user-friendly operation, with an interface that provides real-time feedback on process parameters and allows manual intervention if necessary. Safety features are incorporated to prevent overheating and ensure operational reliability. Overall, the developed automatic VCO maker offers a practical solution to enhance the efficiency and consistency of VCO production, catering to both small-scale producers and commercial enterprises in the food and cosmetic industries

Current technological advances have made the need for information technology very necessary. With the existence of web-based geographic information system technology, it can help PT. Telkom Indonesia Tbk Prabumulih City Branch to digitize every Indibiz customer and target area for Indibiz products. The aim of this research is to create a web-based Indibiz customer mapping information system and to improve technician performance in matters concerning Indibiz. The research method used is descriptive qualitative, the Waterfall method as a system development method and UML as a design tool. The application was built using a website with the php programming language, a mysql database, and printing data using pdf files.

The management of service centers at the Indonesian Rede Cross (PMI) in East Jakarta is still conducted manually, which slows down service processes and increases the likelihood of data processing erorrs. This research aims to design a Java-based application to automate patient registration, admission, handling, emergency services, available ambulance data, and the preparation of reports as quickly as possible. The application was developed using the Java programming language with a prototype model approach in software development. Testing results indicate that this application successfully enhances the efficiency and accuracy of PMI East Jakarta’s operations, particularly in managing data related to patients, actions, personnel, and ambulance availability. It is hoped that this application can be integrated with other PMI regions to establish a more structured and connected service management system.

PT Astra International BMW Semarang is a company operating in the automotive sector with 3 supporting pillars, namely Sales, Aftersales and Spare Parts for BMW car units. The availability of spare parts is one of the determining factors for consumer satisfaction with the company because if the spare parts stock is empty it will cause consumer disappointment with the company. By using spare parts sales transaction data for the period January 2019 – June 2023, totaling 52,162, it will be utilized using data mining association techniques with the a priori algorithm and the eclat algorithm. The problem in this research is how to find out consumer purchasing patterns so that there is no shortage or empty stock of spare parts in the warehouse. This research aims to determine the association of spare parts purchasing patterns in sales transactions so that partman get recommendations in making decisions about providing priority types of spare parts. This research methodology uses CRISP-DM (Cross-Industry Standard Process for Data Mining) and is implemented with the R programming language with R studio software. In 3 trials using the Apriori algorithm and 3 trials with the Eclat algorithm, The result with the highest confidence appears in a combination of 3 itemsets with minimum support 0.01 and confidence 0.9, namely if a customer buys B11.42.8.593.186 (Set oil-filter Mx) and B83.12.5.A1A.683 (Washer Cleaner) then they will also buy Z99000000333 ( BMW Engine Oil) with confidence 1.00 or 100%. From the results of this association's analysis, it can be used as advice for the management of PT Astra International BMW Semarang in managing spare parts stock.

This research aims to design a website-based online store by utilizing a recommendation system with content-based filtering. The recommendation system is useful to help buyers get product suggestions that are in accordance with their preferences. The development method used in this research is the Waterfall model with the stages of needs analysis, design, program code generation, and testing. Researchers also use the UML model to help design the system and use the Laravel framework for website development. Based on the results of this study, the online store system designed has benefits for customers, because they can shop anywhere without having to come to the store directly. The recommendation system used also helps customers in choosing perfumes that match their preferences. 

Abstract -  Corn plants are one of the plants that are easy to grow and relatively fast to get results but also a plant that is vulnerable to pests and diseases. The symptoms that arise require an expert or agricultural expert to be able to diagnose. Limited time and expert labor is one of the causes of delayed diagnosis, causing a decrease in farmers' yields. This is the basis for making this expert system by adopting knowledge from agricultural experts about the symptoms of corn disease using the Forward Chaining method. To support the research conducted, researchers used the Research and Development (R&D) research method and the design used the Object Oriented Programming (OOP) method using the Unified Modeling Language (UML). Software is built using the PHP programming language, MySQL as a database, and Bootstrap as an interface design with a web-based system.    

PT Astra International BMW Semarang operates in the automotive sector, focusing on sales, aftersales, and spare parts for BMW cars. The availability of spare parts is crucial for customer satisfaction, as stock shortages can lead to disappointment. Using data from 52,162 spare parts sales transactions from January 2019 to June 2023, the study applies data mining techniques with the a priori and eclat algorithms to identify consumer purchasing patterns and prevent stock shortages. The research aims to provide recommendations for prioritizing spare parts stock. Utilizing the CRISP-DM methodology and R programming, the study found that the highest confidence in purchasing patterns occurs with a combination of three itemsets: if a customer buys an oil filter set (B11.42.8.593.186) and washer cleaner (B83.12.5.A1A.683), they will also buy BMW engine oil (Z99000000333) with 100% confidence. These findings can help PT Astra International BMW Semarang manage spare parts stock more effectively.

The background of this research is the lack of interest of Dhyana Pura University Informatics Engineering Study Program students in visiting the library. This shows the need for a new innovation in the library that can increase the attractiveness of students to visit the library more often. The purpose of this study was to implement augmented reality with the Android-based marker-based tracking method in the search system for reference books for IT courses in the UNDHIRA library, to find out the results of the analysis of the level of user convenience and satisfaction in using the application, as well as to find out the results of a comparison of the level of interest in student visits to the library before and after system implementation. This research is a quantitative study; the data was collected using a questionnaire technique on 54 application users. The results showed that the usability of the application was 87.41% or could be classified as "very good." The results of the Kano model test show that the attributes of the application are very satisfying to users, with the majority of the attributes in the application being included in the attractive category. The results of a comparative analysis of the interest level of student visits to the library before and after system implementation showed that 49 out of 54 students stated that the application could increase their interest in visiting the library. So based on these results, this application can increase the interest of IT students in visiting the library.

providers bouquet products for the community, which is located at Jalan GG. RT.015 Mosque RW.005 Talang Ubi Timur Village, Talang Ubi District, Penukal Regency Abab Lematang Ilir. South Sumatra Province. The lack of information conveyed to the public, resulting in a lack of knowledge the community regarding the sales of the ce florist shop in PALI district due to the sales information system that was carried out at the ce florist bouquet shop is still manual, namely people who want to know about the latest information about bouquet items must come directly so that it is more effective and efficient, because it takes a lot of time to arrive at the ce florist's bouquet shop. So from the researcher will make an android information system for the ce florist bouquet shop which will be accessed through the application that we install using Flutter programming language. This study uses the method (SDLC) Waterfall as a development method to be used when designing and build applications, while the research methods to be used is a descriptive method through a qualitative approach. Research collecting data through direct observation, interviews and library research. help tool uml design to help design the system to be created. With the existence of this android application hopefully helps people save time when want to shop at the ce florist bouquet shop.

Bantuan Pangan Penting Contoh Program Non Tunai (BPNT) adalah program subsidi pangan sebagai wujud upaya pemerintah meningkatkan ketahanan pangan dan memberikan perlindungan kepada keluarga miskin melalui pendistribusian beras. Setiap keluarga akan menerima Rp. 110.000,-/bulan titik penyalurannya. Peneliti mengambil fokus di Kelurahan Majasari Kecamatan Prabumulih Selatan. Kenyataannya, implementasi kebijakan BPNT tidak selalu mempertimbangkan kebijakan yang full on procedure karena tergantung pada kondisi dan situasi masyarakat. Tujuan penelitian ini adalah menganalisis pelaksanaan program Bantuan Pangan Penting Contoh Non Tunai. Penelitian ini menggunakan metode deskriptif kualitatif. Pengumpulan data dilakukan dengan wawancara mendalam dari berbagai informan yang telah ditentukan. Dalam penelitian kualitatif, data diambil dari berbagai sumber dengan menggunakan teknik pengumpulan data yang beragam (triangulasi) dan terus menerus hingga jenuh. Hasil penelitian ini adalah faktor penentu pelaksanaan program BPNT di Kelurahan Majasari Kecamatan Prabumulih Selatan disebabkan oleh faktor sikap (disposisi) yang kurang berhasil dalam kualitas beras, sasaran rumah tangga penerima bantuan bantuan pangan krusial Contoh Non Tunai (BPNT), jumlah rumah tangga penerima manfaat sasaran beras.

Pada tahun 2024, Indonesia akan menyelenggarakan pemilihan umum serentak yang meliputi pemilihan presiden dan pemilihan wakil rakyat di seluruh Indonesia. Masyarakat menanggapi kejadian ini dengan perasaan campur aduk, membagikan pemikirannya di situs media sosial seperti Twitter. Penelitian analisis sentimen calon presiden Indonesia tahun 2024 dilakukan terkait peristiwa ini. Sebanyak 1458 tweet digunakan dalam penelitian ini. Dengan 40,31% responden menyatakan sikap positif dan 43,46% menyatakan sentimen negatif, temuan analisis menunjukkan keseimbangan antara kedua sentimen tersebut. Menggunakan frasa "calon presiden," program Python di situs web Google Colab mengambil data twitter. Pendekatan K-Nearest Neighbor digunakan dalam proses klasifikasi. Selain itu data latih dibagi 6 : 4. 40% data uji dan 60% data latih. Nilai evaluasi yang diperoleh dari pengujian model dengan teknik K-Nearest Neighbor adalah akurasi sebesar 90,95%, presisi sebesar 62,17%, recall sebesar 62,33%, dan F-Measure sebesar 61,87%.

PT. Epsindo Jaya Pratama is a company engaged in manufacturing. This research contains web- based financial informasi processing applications, because they can help make it easier to work on. The problems that occurred at PT. Epsindo Jaya Pratama is currently still conventional or still manual, that is, it still uses the Ms. Excel. This study aims to help make it easier to input financial informasi for PT. Epsindo Jaya Pratama, by submitting suggestions for creating a web- based financial informasi processing application, it is hoped that later financial informasi processing will be easier, faster and more practical. In this financial informasi processing application, it is proposed to use the Xampp program with PHP and MySQL databases which will make workmanship easier in processing financial reports.

In the era of the new normal, maintaining health and hygiene has become critically important, especially in preventing the spread of viruses. One effective way to achieve this is through regular handwashing. Schools are particularly susceptible to the transmission of viruses and bacteria, which is why it's crucial to implement an effective hand sanitizer system. However, the use of conventional hand sanitizer bottles that require manual pressing or opening still carries the risk of virus transmission. Therefore, there is a need for the development of an automatic hand sanitizer system to reduce the risk of virus transmission. This research aims to design an Arduino-based automatic hand sanitizer system at SD Kanisius Genuk. The automatic hand sanitizer system utilizes an ultrasonic sensor to detect the distance between an object, in this case, a hand, and the hand sanitizer. When the hand approaches within a certain distance, the hand sanitizer fluid is dispensed automatically through a mini 5V pump. Additionally, the device features a liquid level sensor that provides information about the hand sanitizer fluid level via an LCD screen. The theoretical significance of this research lies in enriching knowledge about programming using the C++ programming language in designing an automatic hand sanitizer system. Furthermore, the research is expected to enhance creativity, innovation, and knowledge development in response to technological advancements. The practical benefits of this research include facilitating students, teachers, and guests at SD Kanisius Genuk in using the automatic hand sanitizer, thus reducing the risk of virus transmission. Additionally, this research can serve as a reference for universities and contribute to the field of human resource management knowledge.