DERIVATIONAL AND INFLECTIONAL MORPHEME IN ENGLISH LANGUAGE

This paper talks about the morphology which study or words how they are formed and their relationship to other words in the same language. However, we focus on the derivational and inflectional morpheme, which has some aspects (suffixes and prefixes) and how they are categorized. In the context of Natural Language Processing, the question of how the boundaries of merging, derivation, and inflection with each other and with areas outside morphology can be determined and gained new relevance. This work develops a framework that can provide background for answers at the same time and is interesting, both theoretically and practically. On the basis of a thorough discussion of the literature, language-independent definitions are given for compounding, derivation, and inflection. We are as the writers, we look for the references using the internet.research method The descriptive  method is one of the methods we made to collect data, because our research formed a theoretical explanation different reference sources. Some of the data that we have obtained is the result of many references on the internet that we have filtered and selected according to the chapters or material we have examined and to using the descriptive method the researcher also uses the content analysis method, the discussion of a study using this method, is in-depth which will study a theory that has existed in the past and present by comparing which is more relevant to be used for the general public.             There are some differences between inflectional and derivational morphemes. First, inflectional morphemes never change the grammatical category (part of speech) of a word. derivational morphemes often change the part of speech of a word. Thus, the verb read becomes the noun reader when we add the derivational morpheme -er. It is simply that read is a verb, but reader is a noun. However, some derivational morphemes do not change the grammatical category of a word

Convolutional Neural Network for Halal Detection of Korean Cosmetic Composition

Korean cosmetics occupy the position as the best and most favorite cosmetics in Indonesia with a user percentage of 46.6%, beating domestic cosmetics with 34.1%. Unfortunately, Hangeul's writing on Korean cosmetic packaging often confuses the contents of the cosmetics. In fact, as a country with the most significant Muslim majority in the world, Indonesian people are required to use everything halal. A halal detection application for Korean cosmetic compositions was created by implementing the Convolutional Neural Network. The test results show that the application can detect material doubts with an accuracy rate of 95.56%. This indicates that the Korean cosmetic halal detection application is in a suitable category

RANCANG BANGUN APLIKASI SINAR DESA UNTUK MENINGKATKAN KUALITAS PELAYANAN KEPADA MASYARAKAT DI DESA BABATAN KUNINGAN

Desa merupakan salah satu unit terkecil dalam suatu pemerintahan. Pelayanan di desa sangat dibutuhkan masyarakat untuk kemudian disalurkan kepada pihak-pihak terkait sesuai kepentingan masyarakat tersebut. Salah satu pelayanan yang biasa dan sering dilakukan adalah kebutuhan surat-menyurat. Saat ini metode konvensional masih sangat banyak digunakan, sebagai negara berkembang serta mengikuti perkembangan zaman, tentu hal ini perlu kita benahi. Maka dari itu, mahasiswa KKN Tematik LLDIKTI IV mencoba untuk melakukan inovasi dengan membuat aplikasi SINAR Desa (Sistem Informasi dan Administrasi Desa) di Desa Babatan. Penelitian dilakukan dengan cara research and development dengan tujuan agar aplikasi dibuat sesuai kebutuhan desa, mempermudah akses pelayanan desa dan meningkatkan kualitas pelayanan des

Evaluation of a quality improvement intervention to reduce anastomotic leak following right colectomy (EAGLE): pragmatic, batched stepped-wedge, cluster-randomized trial in 64 countries

Background Anastomotic leak affects 8 per cent of patients after right colectomy with a 10-fold increased risk of postoperative death. The EAGLE study aimed to develop and test whether an international, standardized quality improvement intervention could reduce anastomotic leaks. Methods The internationally intended protocol, iteratively co-developed by a multistage Delphi process, comprised an online educational module introducing risk stratification, an intraoperative checklist, and harmonized surgical techniques. Clusters (hospital teams) were randomized to one of three arms with varied sequences of intervention/data collection by a derived stepped-wedge batch design (at least 18 hospital teams per batch). Patients were blinded to the study allocation. Low- and middle-income country enrolment was encouraged. The primary outcome (assessed by intention to treat) was anastomotic leak rate, and subgroup analyses by module completion (at least 80 per cent of surgeons, high engagement; less than 50 per cent, low engagement) were preplanned. Results A total 355 hospital teams registered, with 332 from 64 countries (39.2 per cent low and middle income) included in the final analysis. The online modules were completed by half of the surgeons (2143 of 4411). The primary analysis included 3039 of the 3268 patients recruited (206 patients had no anastomosis and 23 were lost to follow-up), with anastomotic leaks arising before and after the intervention in 10.1 and 9.6 per cent respectively (adjusted OR 0.87, 95 per cent c.i. 0.59 to 1.30; P = 0.498). The proportion of surgeons completing the educational modules was an influence: the leak rate decreased from 12.2 per cent (61 of 500) before intervention to 5.1 per cent (24 of 473) after intervention in high-engagement centres (adjusted OR 0.36, 0.20 to 0.64; P < 0.001), but this was not observed in low-engagement hospitals (8.3 per cent (59 of 714) and 13.8 per cent (61 of 443) respectively; adjusted OR 2.09, 1.31 to 3.31). Conclusion Completion of globally available digital training by engaged teams can alter anastomotic leak rates. Registration number: NCT04270721 (http://www.clinicaltrials.gov)