Innovation in Hajj and Umrah management through the use of social media holds significant potential to enhance service efficiency and quality. Social media platforms like Facebook, Instagram, Twitter, and WhatsApp can be used to quickly and accurately provide education and information to pilgrims. Organizers can deliver guidelines, health tips, and real-time updates about conditions in the holy land, and respond to pilgrims' questions and complaints more efficiently. This research explores how social media can be integrated into Hajj and Umrah management to improve service quality and risk management, focusing on the role of social media in education, responsiveness, and risk management. The findings indicate that social media is effective in disseminating information and enhancing interaction between organizers and pilgrims, though challenges exist in technology access gaps and the risk of spreading inaccurate information.
 
 

This study aims to apply the C4.5 algorithm in classifying athlete performance based on the 2023 award recipient list. The C4.5 algorithm was chosen for its ability to construct decision trees that can identify patterns and characteristics distinguishing high-performing athletes. The data used in this study includes various attributes such as gender, age, sport, number of medals, and level of competition participation. The results show that the C4.5 algorithm can classify athletes with high accuracy. The resulting decision tree provides valuable insights into the key factors contributing to athlete performance. The implementation of this algorithm is expected to assist sports organizations in more effectively identifying and developing potential talents.
 
 

On the other hand, openness of information increases the wealth of knowledge, but on the other hand, it makes us the object of information. The low literacy and numeracy skills of Indonesian human resources will be a big problem in information disclosure. Numeracy literacy skills play a very important role in helping students solve everyday problems. Literacy and numeracy are also very important in choosing a university, this is to avoid mistakes in choosing a major. This service activity aims to socialize the importance of digital literacy and numeracy in choosing a university for Madrasah Aliyah students. The methods used include planning, implementation and evaluation. Based on the results of the questionnaire, the results showed that students were able to utilize literacy and numeracy in reading digital information to choose a university

Indonesia is home to approximately 400 mountains that attract climbers, both local and international. The increasing number of climbers each year correlates with a rise in accidents. According to data from the National Search and Rescue Agency (BASARNAS), climbing accidents have increased over the past four years. In 2018 alone, there were 23 incidents resulting in 6 fatalities, 4 climbers reported missing, 7 climbers fell ill, and 592 climbers were rescued. Human error, such as choosing the wrong route and adverse weather conditions, remains the primary cause of climbers getting lost. To address these challenges, this research develops a GPS and Long Range (LoRa) based mountain climber monitoring system. The system utilizes GPS to track climbers' locations, heart rate sensors to monitor health conditions, and a buzzer for early warnings when climbers enter restricted areas. It also features a panic button for sending SOS signals to rescue posts. Agile Scrum methodology is employed in the system development, enabling iterative and collaborative software development. Research findings indicate that this system enhances efficiency and effectiveness in monitoring and rescuing climbers in distress, thereby improving mountain climbing safety and comfort.

In a train ticket booking also has an obstacle, to overcome the obstacles found in conventional ticket booking such as piling up queues at the station, limited time owned by consumers, the process of delivering information about ticket prices for the day of departure or the previous date that cannot be processed, then PT Kereta Api (Persero) Palembang provides solutions through applications that will be made to facilitate ticket booking, Fast transaction process, delivery of information about schedules and ticket prices that can be accessed quickly. In designing this system using a method, namely the Prototype method.

Data mining is a technique to dig up new information from a data warehouse, information is seen as very important and valuable because by mastering information it is easy to achieve a goal, this makes everyone compete to obtain information, as well as in trading businesses such as the Iblite Luxury store.  This store is located in Medan close to residents' houses, Sales transaction data will continue to grow, causing data storage to be even larger. Sales transaction data is only used as an archive without being properly utilized. Basically, a dataset has very useful information. Market basket analysis with a priori algorithm is one of the data mining methods that aims to find association patterns based on consumer shopping patterns, so that it can be known what items of goods are purchased in a At the same time, the results of this study found that the highest support and confidence values were Ysl and Chanel with a support value of 50% and confidence of 75%.

Macrozoobenthos is a group of benthic organisms measuring more than 1 mm that plays a crucial role in the process of decomposition and mineralization of organic material in aquatic ecosystems. The purpose of this observation was to determine the ecological index and density of macrozoobenthos in Pengudang and Dompak Waters. This observation was conducted from May 26-27, 2024 in the waters of Pengudang and Dompak using the survey method. Determination of sampling points is done by random sampling of 20 points each line transect. Macrozoobenthos measurements using 1x1m quadrant transect. The results showed that Pengudang waters had a higher species density with an average value of 13 (medium) compared to Dompak with an average of 0.03 (low). The diversity index ranged from 0.36-1.05, with Pengudang showing higher values. The uniformity index in Pengudang was 0.50 (medium), and in Dompak 0.17 (low). The dominance index was higher in Dompak (0.84) than Pengudang (0.40). Water quality parameters showed that temperature, salinity and pH were within safe limits, but TSS values in Dompak exceeded quality standards, indicating higher sedimentation levels.
 

This research aims to analyze the financial performance of PT. H.M Sampoerna Tbk based on financial ratio data from 2018 to 2022. The study adopts a quantitative approach using a descriptive study method by collecting and analyzing the company's financial data. Liquidity, solvency, and profitability ratios are utilized to measure the financial performance of the company. The findings indicate that there are variations in the company's financial performance during the research period. Nonetheless, the company still records adequate net profit and returns. However, it is crucial for the company to enhance liquidity management, carefully manage debt, and improve operational efficiency to achieve sustainable growth in the future.

Pandangan MUI Kota Binjai Terhadap Peraturan Walikota No 39 Tahun 2017. Sebagaimana peraturan ini sudah berjalan sejak awal tahun 2018 sampai sekarang di lingkungan pemerintah Kota Binjai, guna untuk menurunkan angka pemakai narkoba yang marak di Kota Binjai. Penelitian bertujuan untuk mengatahui Sejauh mana pandangan MUI Kota Binjai terhadap peraturan walikota no 39 tahun 2017. Jenis penelitian ini menggunakan penelitian kualitatif dengan pendekatan pendekatan studi kasus (case study). Metode pengumpulan data diperoleh secara langsung dari observasi dan wawancara dari ketua lembaga MUI Kota Binjai, KUA Binjai Utara, praktisi, masyarakat dan BNN Kota Binjai. Hasil penelitian menujukkan bahwa pandangan MUI Kota Binjai mengenai peraturan ini tidak melawan syariat Islam dan bertetangan dengan peraturan perkawinan di KUA. Sedangkan dampak positifnya adalah kesadaran masyarakat terhadap bahaya narkoba yang mengakibatkan sulitnya melangsungkan proses perkawinan dan dampak negatifnya adalah tidak adanya sangsi yang mengikat sehingga masyarakat tidak takut untuk melanggarnya. Ketiga, terbatasnya waktu dan tempat yang sering menjadi penghambat porses tes narkoba untuk calon penganti.

This research allows an automated system for detecting classified means of transportation in Medan City traffic using the YOLOv8 algorithm. The YOLOv8 algorithm is used to detect transportation objects with accuracy that is many times better than other object detection algorithms and with good accuracy after training with various data sets. The use of this algorithm provides an effective solution for handling congestion in the form of increasing the number of vehicles and less orderly traffic users in the city of Medan. The placement of each transportation object in the image to be tested by the system has an influence on the shape accuracy of the object detection results by the algorithm.