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Business is an economic activity carried out by individuals or organizations to produce and sell goods or services with the aim of making a profit. The NSH Group Store is a business that sells carpets, pillows, bolsters, and dolls located in the Sei Dadap I/II Plantation, Sei Dadap District, Asahan Regency, North Sumatra 21225. The NSH Group Store was established in 2016 and is owned by Mrs. Siti Komariah Siregar. Among the challenges faced by the NSH Group Store owner are irregular stock procurement. Sales transaction processes still use conventional methods, reducing efficiency and time effectiveness, and potentially leading to data errors. Supply Chain Management is a series of approaches used to efficiently integrate suppliers so that goods can be distributed in the right quantities, locations, and at the right time, with the aim of minimizing overall system costs. A bolster pillow is a pillow that can function as both a pillow and a bolster. Bolster pillows are oval and long, so they can be hugged while sleeping. The benefits of a bolster pillow include maintaining a proper sleeping position, reducing pressure on joints, helping reduce aches, improving sleep quality, and improving overall health. Therefore, by implementing Supply Chain Management (SCM), data processing will be faster and more accurate.

Social media has become a strategic tool for the government to disseminate public information quickly, interactively, and efficiently in the digital era. The Lampung Provincial Government utilizes various social media platforms such as Facebook, Instagram, and TikTok to support public communication activities. This study aims to analyze the effectiveness of public communication by measuring the level of activity of Regional Apparatus Organization (OPD) social media accounts using the logistic regression method. Data were collected through web scraping techniques on the official OPD social media accounts and then processed using a quantitative approach. The results show that the level of social media activity influences the effectiveness of public communication and the transparency of government information. These findings are expected to serve as a basis for local governments in designing public communication strategies that are more optimal and adaptive to developments in digital technology.

Aplikasi Semarang Guidance dibuat untuk memberikan informasi lokasi penting bagi masyarakat yang membutuhkan petunjuk jalan lokasi wisata. Hal ini didasarkan pada masih banyak masyarakat yang belum mengetahui lokasi terdekat tempat-tempat wisata. Penelitian ini menggunakan model pengembangan SDLC. Model analisisnya menggunakan Use Case, Activity, Class Diagram, E-R Diagram dan kamus data. Manfaatnya dapat memberikan kemudahan dalam mengetahui letak dan posisi geografis tempat wisata terdekat disekitar pengguna beserta informasi pendukung dengan melalui ponsel Android. Dalam aplikasi ini menginformasikan dan visualisasi objek dalam bentuk maps. selain itu terdapat rute untuk menuju objek wisata yang dipilih, pencarian objek wisata, dan menu pendukung lainnya. Aplikasi ini berbentuk mobile application dan juga web service dengan bahasa pemrograman untuk mobile application JAVA dan SQLITE sebagai database, web service PHP dan MYSQL sebagai database.

Penelitian ini merancang aplikasi sistem informasi berbagai lokasi penting bagi masyarakat yang membutuhkan petunjuk jalan lokasi pelayanan kesehatan. Hal ini didasarkan pada masih banyak masyarakat yang belum mengetahui lokasi terdekat layanan kesehatan di kota Semarang. Penelitian ini menggunakan model pengembangan sistem siklus hidup (SDLC). Model analisis sistem menggunakan Use Case Diagram, Activity Diagram, Class Diagram, Kamus data dan E-R Diagram. Manfaatnya dapat memberikan kemudahan, kecepatan, dan ketepatan dalam mengetahui posisi geografis lokasi layanan kesehatan terdekat di sekitar pengguna beserta informasi pendukung seperti visualisasi objek dalam bentuk maps melalui perangkat mobile Android disertai rute untuk menuju objek layanan kesehatan yang dipilih, pencarian objek, dan menu pendukung lainnya.

Academic data increases every year in line with the increase of students. Abundant data store is alsoan abundance of information. Data mining technology is a tool for extracting information on largedatabases and has been widely used in many domains. Predicting student performance (study evaluation) isan activity to determine a future state based on existing data. Data in the field of academic research hasbeen done with various methods and algorithms, but the use of algorithm SLIQ (Supervised Learning InQuest) has not been done.SLIQ is an algorithm developed by the IBM's Quest project team in 1996 for mining large datasets.SLIQ algorithm classify and predict the students performance, beginning with the data cleaning, conductedelection training and testing data. By calculating gini index of each attribute and then selecting thesmallest gini index data table is split according to the criteria until find the same class. From the results ofthe calculation process can produce a set of rules that can be used to predict student performance.From the experiment it can be concluded that the algorithm SLIQ with decision tree technique canbe used as an alternative in designing a system datamining applications. Tests conducted system showedthat the constructed model can be used to predict the performance of new students. The resulting accuracyof the model system in fact has a lower score than the accuracy of other applications that are used as acomparison of Tanagra. Advantages of the proposed system is in its design does not need complexcalculations in obtaining the gini index attributes.