Teknologi informasi dan komunikasi saat berkembang pesat, sala satunya dengan mengubah kegiatan di dunia perdagangan  (e-commerce). Perkembangan pesat itu, membantu memberikan solusi bagi aktivitas manusia dalam hal perdagangan.  Toko Kelontong Tebas yang beralamat jalan raya Tebas di Kecamatan Tebas menyediakan kebutuhan pokok.  Dalam menjalankan usahanya, toko kelontong Tebas menggunakan cara manual untuk transaksi dan pendataan. Memanfaatkan teknologi dapat membantu kegiatan tersebut, seperti menggunakan sistem informasi berbasis website.  Dalam perancangan sistem ini, penulis menggunakan metode System Development Life Cycle (SDLC) untuk mengembangkan sistem informasi kasir. Sistem informasi ini menyediakan fitur untuk mengelola data barang seperti nama, stok, transaksi, mencetak struk sampai membuat laporan. Test case pada sistem informasi ini menghasilkan semua fitur valid atau dapat dioperasikan sesuai harapan. Kesimpulannya, sistem informasi ini memudahkan pemilik dalam mengelola data transaksi, mempermudah dan mempercepat proses pencarian data penjualan dan mengurangi ruangan penyimpanan serta menjaga keamanan data dari kehilangan data atau data yang rusak.

Production House 8Production films is one of the production houses enganged in services that include multimedia, video shooting and photography in Palembang. The creation of this final project, entitled “Production House Information System In 8Production Films Based on Website”. Because currently the production process include visual shooting and shooting, visual image editing and photos are still not well scheduled, only initiative, and no scheduling systematically. In addition, the management of internal operational information in the processing data from the order receipt is only stored in the form of .doc files and some are still handwritten, so that the same data recording and processing (double storage), and acces to information is slow. The System development method used in this research is Prototype. Based on the problem that have been analyzed through exixting business process observation methods. Then the system is designed by making UML (Unifield Modeling Languange). And using PHP as a programming language that will be used to create the website PHP has the extension of PHP Hypertext Preprocessor, a programming language that is anabled to build a dynamic website. While MySQL is an RDBMS software (or database server) that can manage databases very quickly. Thw result of this study are a web-based 8Production Films Production House Information System that makes ordering users easy and makes it easier for 8Production films staff to perform member absences, managing filming schedules and weekly agendas to be more effective, and making monthly reports of transactions at web-based 8Production films production houses

Sumber daya dalam modal sosial bukan dalam bentuk materi, keterampilan atau barang melainkan relasi sosial. Relasi sosial tidak berarti jika tidak memberikan manfaat bagi para aktor. Bukan seberapa banyak relasi sosial tetapi seberapa efektif relasi sosial terutama dalam memberdayakan masyarakat. Artikel ini bertujuan untuk mengkaji jejaring BUMDes dalam mengelola wisata lembah desa Pulutan Kabupaten Gunungkidul. Peneliti menggunakan metode deskriptif kualitatif dengan menggunakan pendekatan modal sosial. Peneliti mewawancarai pihak-pihak terkait seperti BUMDes, Pedagang dan pengunjung. Hasil penelitian menunjukkan bahwa pihak BUMDes memiliki jaringan yang efektif dengan pedagang walaupun ada peluang untuk mendatangkan investor. Relasi antara BUMDes dan Pedagang merupakan relasi kemitraan. Jaringan ini diperkuat dengan keyakinan dan norma. Keyakinan bahwa wisata lembah viral karena doa dari pedagang dan reputasi pengelola sebagai orang yang dapat dipercaya. Norma kedua aktor terlihat dalam konsep teh poci gratis. Ini sejalan bahwa pembangunan bukan hanya akses ke sumber daya dan peningkatan kesejahteraan melainkan juga masyarakat selaku subjek pembangunan memperoleh manfaat sosial dan ekonomi dari pembangunan terutama pembangunan desa wisata.

Early detection of dementia through the use of machine learning classification algorithms is important for providing appropriate interventions to patients. In this context, this study aims to compare the performance of several machine learning classification algorithms in detecting dementia using the attribute selection method. In the early stages, patient data including medical history, cognitive test results, and other attributes were collected as input, an attribute selection algorithm was used to select the most informative attribute subset in detecting dementia. The subset of attributes used as input for training machine learning classification models, several classification algorithms such as Extra Trees (ET), Linear Discriminant Analysis (LDA), Random Forest (RF) and Ridge. In this study, accuracy is used as the main metric to compare algorithm performance. The evaluation results show that the Random Forest (RF) algorithm produces the best performance with an accuracy of 91.56%. The Extra Trees (ET) algorithm has an almost comparable accuracy of 91.44%, while Ridge and Linear Discriminant Analysis (LDA) have an accuracy of 90.44% respectively. In the context of dementia detection, the performance of the Random Forest algorithm with the attribute selection method proved to be the best with an accuracy of 91.56%. These results indicate that the developed model is capable of recognizing complex patterns and relationships between features that are relevant to dementia status. The use of the attribute selection method also contributes to increasing the accuracy and efficiency of the classification algorithm.