Cryptography is a branch of existing methods in mathematics which has the goal of being able to maintain the confidentiality of the information contained in the data so that the information is not known by parties who have no interest. Confidentiality of this information is important so that the information sent is not misused irresponsibly. Vigenere Cipher is a method used for cryptography. Vigenere Cipher works by using a tabula recta table where the table contains an alphabet arranged based on the Caesar Cipher shift. In this study, the Vigenere Chiper algorithm will be used to encrypt information into 25 brain tumor images. In the tests carried out on 25 images, the best MSE obtained was 1.541e-05, while the best PSNR was 48.1219, for the best SSIM it was 0.99995, then for the BER value, all images obtained a BER value of 0 and also for the entropy of the best steganography image, which was 6.8204.

Travel recommendations are ideas or suggestions of cool places to see while traveling. Depending on the interests and preferences of each visitor, these tourist attractions can be nature tourism, beach tourism, cultural tourism or other interesting places to visit. Tourism recommendations can be offered based on criteria including scenic beauty, street access, distance traveled, children's entertainment venues, ticket prices, menu variations, parking, places to relax, toilets, prayer rooms. Therefore, tourism recommendations are needed for tourists to determine the tourist destinations they want to visit. The SAW method is applied to decision making using many criteria, and to avoid subjectivity in determining the criteria weights, the Entropy method is used. The results of this study indicate that the ranking results from the optimization of the SAW method with the entropy method in supporting tourism recommendation decisions.

This study aims to develop a method for identifying organic and non-organic waste using a computer image recognition technique based on Convolutional Neural Network (CNN) with Efficient-Net-B0 architecture. Efficient and accurate waste identification is important in sustainable waste management. The primary goal of this research is to distinguish between organic and non-organic waste in images. Manually labeling waste images as organic or non-organic can be a time-consuming and error-prone task. Configuring and fine-tuning the EfficientNet-B0 architecture and CNN parameters for optimal performance can be a complex and iterative process. Hyperparameter tuning may be needed. Ensuring accurate labels is essential for training a reliable model. The choice of using the Convolutional Neural Network (CNN) with the EfficientNet-B0 architecture is a crucial part of the solution. EfficientNet-B0 is known for its balance between accuracy and computational efficiency. The use of CNNs and EfficientNet-B0 for this task indicates the system's ability to discern visual differences between the two waste types. The method proposed in this study utilizes CNN's ability to study important features of waste images to recognize various types of waste. This research includes the waste data collection stage which includes organic and non-organic waste in the form of 2D images. To evaluate the performance of the proposed method, a test was carried out using a waste dataset taken from a predetermined environment. The test results show that the proposed method is able to identify organic and non-organic waste with a high degree of accuracy. In test scenarios, this method achieves an accuracy of 98%, which demonstrates its ability to effectively identify the type of waste. Through the use of CNN-based computer image recognition techniques with the Efficient-Net-B0 architecture, this research succeeded in solving the problem of identifying organic and non-organic waste automatically and accurately. The proposed method has the potential to be applied in more efficient waste management systems, helps minimize human identification errors, and makes a positive contribution to environmental protection efforts. This research is expected to be the basis for further development in the introduction and management of waste in a sustainable manner.

Road crack detection is a critical aspect of infrastructure maintenance, ensuring the safety and durability of roadways. This study presents an innovative approach leveraging image processing techniques, YOLO-V5 model, and adaptive thresholding for efficient and accurate road crack detection. The utilization of adaptive thresholding enables the system to handle complex lighting variations and diverse road textures, enhancing the precision of crack identification. Integrating the YOLO-V5 model further facilitates real-time detection and precise localization of road crack regions, contributing to effective and timely maintenance strategies. The research findings underscore the robustness and efficacy of the proposed methodology, emphasizing its potential for enhancing road safety and durability. 

Banana (Musa paradisiaca) is a very popular fruit in Indonesia. Banana production in Indonesia, with more than 200 types of bananas, accounts for more than 50% of banana production in Asia. Differences in how to consume Ambon bananas and Kepok bananas and their various benefits encourage cultivators to be careful in choosing seeds to avoid mistakes. Distinguishing the seeds of Ambon bananas and kepok bananas is more difficult than distinguishing between Ambon bananas and kepok bananas. This is because the leaves and stems of the seeds look the same. The purpose of this study is to use an optimization algorithm to improve the performance of the image classification algorithm on the image of kepok banana leaves and Ambon bananas to assist in the selection of banana plant seeds that can be used by banana cultivators to get the maximum benefit according to the desired type of banana. The results of this study are used as the basis for making a decision support system to assist in the selection of banana plant seeds that can be used by banana cultivators in order to get the maximum benefit according to the desired type of banana

Discord, which was originally created for the gamer community, can now be found used by hobby groups and communities that are used for shared learning purposes. But the downside is the gamer culture that comes with it. Rude and toxic words that are synonymous with the gamer community should be avoided in study group communities. Meanwhile, the facilities for minimizing harsh and toxic words are still limited to word filters that can be tricked so that they can still be sent to the chat room. This can trigger conflict and interfere with learning activities together. This paper proposed an information assistance chatbot that is able to answer question, and conflict prevention with detection toxic sentences using pre-processing from NLP (Natural Language Processing) and text classification so that the chatbot is able to limit toxic sentences a little more accurately than the word filter feature alone. Also, Chatbots are given the ability to determine the value / level of toxic conversations so that they are had been able to determine the punishment action to be carried out by warning, suspending, or even being issued for the most severe cases. In addition, by looking at the frequency of sending messages from several senders, which indicates toxic, it was able to determine when the conflict occurs. The result shows that chatbot can work fine to answer question and detecting toxic include do punishment to toxic sender. With 10% error on detecting conflict and 30% error on answer question. That 30% error false positive on make an answer that should not be answered.

Benang merupakan bahan baku utama dalam pembuatan produk tekstil. Banyaknya pengrajin tekstil di Indonesia khususnya Pekalongan mendorong pengusaha produksi benang harus terus berjalan. Dengan banyaknya pesaing di industri tekstil ini pihak penjual semakin sulit untuk mendapat kepercayaan dari pihak konsumen. Selain melihat dari sisi harga, konsumen juga akan menilai dari kualitas produk yang diterimanya. Hal ini perlu diperhatikan untuk mempertahankan loyalitas konsumen terhadap pembelian ulang produk. Salah satu pengrajin benang di pekalongan yaitu Hanatex. Meskipun transaksi pembelian benang terus berjalan, akan tetapi Hanatex masih sering menerima keluhan dari konsumen terhadap kualitas benang yang diterimanya. Keluhan yang di didapatkan dari konsumen bisa menjadi kesempatan untuk memperbaiki kesalahan sekaligus meningkatkan kualitas bisnis. Hal tersebut perlu di perhatikan dan ditangani dengan benar agar nantinya dapat menjadi bahan pertimbangan dalam pengambilan keputusan. Pemenuhan kualitas layanan yang memuaskan konsumen salah satunya yaitu dengan merespon keluhan dari konsumen. Keluhan pelanggan yang bervariasi perlu dilakukan segmentasi untuk mengelompokkan data-data berdasarkan keluhan tertentu yang lebih spesifik. Dengan demikian dapat memudahkan dalam melakukan analisa keluhan pelanggan untuk meningkatkan pelayanan dengan perbaikan yang tepat.Berdasarkan hasil evaluasi menggunakan DBI performance dari algoritma k-means dalam melakukan segmentasi dapat disimpulkan baik karena 88,8% kemiripan data dalam kelompok mirip. Untuk penelitian berikutnya disarankan perlu ditambahkan metode untuk cleaning data pada text processing untuk menghilangkan kata singkatan dan kata tidak baku agar dapat meningkatkan performance dan akurasi metode.

The purpose of this research is to find out: (1) the legal consequences of talak divorce on marriages with non-cash dowry, (2) to find out the legal status of the husband's unpaid dowry debt after talak divorce. The type of research used in this research is qualitative research. In this qualitative method, research is carried out directly in the field or at the research location. The research approach used in this research is in the form of a library study (Library Research). Based on the results of the research and discussion in this study, it can be concluded that: For a husband who divorces his wife even though he has not had sexual relations with her, he only has the obligation to pay half of the dowry amount that has been determined before the marriage contract is carried out. However, a husband who has had sex with his wife and then divorces or des not divorce, still has the obligation to pay all the dowry that has been determined by the prospective husband. Meanwhile, for a husband who dies, according to the opinion of most Islamic law experts, it is still obligatory to pay the specified dowry even though during his lifetime he never had sexual intercourse with her (dukhul). Paying debts in Islam is obligatory and you cannot delay paying off all your debts. Likewise, the dowry law must be paid by the prospective husband to the prospective wife at the time of the marriage contract, but if the dowry is postponed then it is still permissible as long as the time for repayment is clear. Paying dowry debts according to the Compilation of Islamic Law is permissible to be owed and may also be deferred if the bride-to-be is happy and gives permission if the dowry is deferred. In this case, the dowry is still owed in the event of separation (divorce), a husband's obligation is to pay the dowry from the assets owned by a husband during the marriage and the dowry owed can be settled after the divorce occurs.
 
 

Data mining is a technique to extract new information from the data warehouse, information is considered very important and valuable because by mastering the information so easily to achieve a goal, this makes everyone competing to obtain information, as well as on trading businesses such as bag store BRANDED. store is located close to the home of the population, this certainly affects the level of sales, with the daily sales activities, sales transaction data will continue to grow, causing data storage is greater. Sales transaction data is only used as an archive without being put to good use. Basically the data set has very useful information. The analysis of market basket with Apriori Algorithm is one method of data mining which aims to find the pattern of association based on consumer spending pattern, so that it can be known what items are purchased simultaneously. The result of this research found that the highest support and confidence value is Ysl and Chanel with a support value of 50% and confidence of 75%.

There are jobs in the warehouse that are still not optimal, one of which is managing administration and other activities related to warehouse mechanics and inventory. In the warehouse management section, employees record incoming goods, outgoing goods, and stock of goods by recording them in the inventory book, resulting in a buildup of inventory which often causes discrepancies between the release of goods and transaction funds. The research method used to solve problems is by using interviews and observation methods and for system development using the object oriented method. The results of this research produce a warehouse inventory information system that is capable of carrying out web-based warehouse recording transactions, so it is hoped that it can help with problems in PT Laz Coal's warehouse inventory.