Face recognition is an identification system that uses the characteristics of a person's face for processing. There is a feature in the face image so that it can be distinguished between one face and another face. One way to recognize face images is to analyze the texture of the face image. Texture analysis generally requires a feature extraction process. In different images, the characteristics will also differ. This characteristic will be the basis for the recognition of facial images. However, existing face recognition methods experience efficiency problems and rely heavily on the extraction of the right features. This study aims to study the texture characteristics of the extraction results using the Local Binary Pattern (LBP) method which is applied to deal with the introduction of Probabilistic Linear Discriminant Analysis (PLDA). The data used in this study are human face images from the AR Faces database, consisting of 136 objects (76 men and 60 women), each of which has 7 types of images Based on the results of testing shows the LBP method can produce the highest accuracy with a value of 95.53% in the introduction of PLDA.
Abstract— Zakat is one of the pillars of Islam whose implementation is required for all Muslims whose wealth meets the Nisab. Nisab is a standard of property that must be Zakati. Because Zakat is the property of the people, the management must be properly channeled. Surakarta city is one of the major cities in Indonesia, there are several institutions of amil Zakat in the city of solo. However, there is no data on the distribution of Zakat in the integrated solo city, so that there are still many recipients of Zakat who receive alms from several amil Zakat. In this study, mapping of Zakat, Infaqand shadaqoh mapping was carried out with a Geographical Information System (GIS). This study aims to produce a deeper analysis of the socioeconomic life in the city of Surakarta as a basis for mapping the distribution of Zakat, Infaq, andShodaqoh. The method used to collect data with rapid appraisal. Where rapid appraisal is a method used to collect data based on socio-economic conditions in the environment, so as to produce a picture of mapping the distribution of Zakat, Infaq, andShodaqoh which is used as a reference for amil Zakat institutions in the Surakarta region to spread.
Al Ihsan Store adalah usaha mikro kecil dan menengah yang bergerak dibidang penjualan berbagai jenis kain. Sejak merebaknya kasus Covid-19 di Indonesia, berdampak pada penjualan dan omset di Al Ihsan Store. Selama ini manajemen Al Ihsan Store melakukan penjujalan dengan menawarkan dagangannya dengan cara door to door ke toko kain dan konveksi, dan sebagian melalui media social untuk komikasi dengan pelanggan. Di era pandemi ini omset penjualan mengalami penurunan sehingga dibutuhkan media pemasaran yang dapat membantu menawarkan produk tanpa harus bertemu langsung dan dapat diakses luas. Dalam kegiatan pengabdian masyarakat ini dilakukan pendampingan pemasaran dengan memanfaatkan teknologi berbasis website. Harapannya dengan adanya pemasaran berbasis website dapat meningkatkan jangkauan pemasaran dan meningkatkan omset dimasa pandemic Covid-19.Website ini berisi katalog barang dagangan dan informasi pemesanan kain di Al Ihsan Store. Kata kunci: Website, UMKM, terdampak, Covid-19, Al Ihsan Store
Abstract— Information on public services is an important part of increasing community satisfaction with government policies. Complaints and Complaints of the community become mediators to improve public services according to community needs.Twitter is one of the most widely used social media in the community to post activities, experiences, and complaints about public services through the internet easily and realtime.The amount of information on Twitter is mixed between satisfaction and extensibility of public services, making it difficult for the government to make decisions in public policy. The role of Big Data can be a solution to classifying data to predict satisfaction or extensibility of public services with parameters: markets, transportation and hospitals.Data sources taken from Twitter are 700 data texts. The twitter classification of public service complaints is built using the Naïve Bayes Algorithm Method, because the algorithm can classify based on probability values. Text processing is done by filtering text and selecting text to be ordered.The results of this study indicate that the Naïve Bayes Method is able to properly classify public service complaints based on 3 parameters, transportation, markets and hospitals. System testing using 700 data obtained the best results accuracy value: 86%, and precision: 72%, recall 81% and f-measure: 83%.
Perkembangan layanan teknologi informasi di era globalisasi saat ini telah berkembang cukup pesat. Mulai dari layanan pedesaan sampai perkotaan saat ini telah menerapkan banyak fasilitas dari teknolog informasi. Kelurahan Dawung memiliki tugas dan fungsi untuk melaksanakan kewenangan pemerintahan, keamanan dan ketertiban yang bertugas untuk membuat surat pernyataan penguasaan tanah, surat keterangan tanah, ahli waris, surat keterangan kematian, keterangan pindah dan pada pelayanan pengaduan. Dalam melaksanakan tugas dan fungsinya tersebut, kantor kelurahan panarung belum mempunyai sistem informasi yang dapat menunjang kegiatan pelayanan terhadap masyarakat. karena semua sistem masih dilakukan secara manual Untuk itu perlukan adanya suatu Aplikasi Sistem Informasi Kelurahaan yang dapat mengarsib dan menjaga data agar tidak mudah hilang. Tujuan dari Pengabdian masyarakat ini adalah untuk membantu pihak kepala desa dalam perancangan suatu sistem informasi layanan informasi kelurahan dawung berbasis web. Hasil akhir dari pengabdian ini adalah suatu aplikasi sistem informasi layanan kelurahan berbasis web.
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