Rancang Bangun Sistem Informasi Arsip Surat Menggunakan Metode Prototype

Letters archiving is the process of receiving, collecting, maintaining letters in a structured manner by an agency, however, the process of filing letters at the Unit Pelaksana Teknis Daerah (UPTD) Satuan Pendidikan Non Formal (SPNF) Sanggar Kegiatan Belajar (SKB) Salatiga still has problems such as recording letter archive data that still uses a letter agenda book which sometimes occurs errors in recording, archival document storage which is physically stored on a mailing cabinet which is prone to being lost, scattered, or damaged and the large number of existing documents causes employees to need extra time and effort to look for them. With the Letter Archive Information System designed using the prototype method, it allows employees to take part in the design of this system by providing opinions and suggestions on system design so that the results will be more optimal, maximum and can be a solution to the problems that exist in the Unit Pelaksana Teknis Daerah (UPTD) Satuan Pendidikan Non Formal (SPNF) Sanggar Kegiatan Belajar (SKB) Salatiga.

Kebijakan Resceduling Dalam Perspektik Hukum Islam

This study aims to determine the policy process of rescheduling as one of the efforts to handle problematic financing and Islamic legal views, especially the Islamic economy towards rescheduling policy as one of the efforts to handle problematic financing in BMT UGT Sidogiri Capem Pesanggaran Banyuwangi district. This type of research is a case study that is testing in detail against one background or one subject or one document storage or a particular event with research data collected both from interviews, observations, and documentation with interactive model analysis. The results of the research show that the policy of distillation is one way to handle problematic financing, where the problem conditions that exist in BMT arise from various aspects, both from the aspects of customers, employees, and nature. Besides that, the rescheduling process at BMT UGT Sidogiri Pesem Pesanggaran is by the procedures and provisions of sharia using the kafalah agreement and Standard Operating Procedure (SOP) that is in the cooperative or non-cooperative.

Implementasi Quick Response (QR) Code Pada Dokumen Instruksi Kerja Alat Laboratorium Kimia

Work instructions laboratory equipment is one of the documents that must be available in the laboratory. This document provides information on the operation steps of the device correctly. A laboratory manager usually prints the document on A4 size paper and installs it on a part of the tool to facilitate access to the document. The treatment makes the work instruction document break down quickly and is not suitable to be applied to small sized tools. Therefore, it is necessary to manage the work instruction document for easy access, efficiency in the use of documents, and to improve the security of document storage. In this case, the QR Code can be used as a solution to the problem. QR Code is able to store documents and URL links in a small barcode image so that it can be use more efficient. Making a QR Code is preceded by storing documents at https://drive.google.com. The URL link at https://drive.google.com is entered into the QR-Code Studio 1.0 application and converted into a barcode. Barcodes are then printed and installed on each laboratory instrument. Scanning QR Code using a smartphone application in the form of a QR-Code Scanner. The results of the barcode scanned are the form of scripts for laboratory work instructions

Managing Taxon Data in FinBIF

The Finnish Biodiversity Information Facility, FinBIF (https://species.fi), has developed its own taxon database. This allows FinBIF taxon specialists to maintain their own, expert-validated view of Finnish species. The database covers national needs and can be rapidly expanded by our own development team. Furthermore, in the database each taxon is given a globally unique persistent URI identifier (https://www.w3.org/TR/uri-clarification), which refers to the taxon concept, not just to the name. The identifier doesn’t change if the taxon concept doesn’t change. We aim to ensure compatibility with checklists from other countries by linking taxon concepts as Linked Data (https://www.w3.org/wiki/LinkedData) — a work started as a part of the Nordic e-Infrastructure Collaboration (NeIC) DeepDive project (https://neic.no/deepdive). The database is used as a basis for observation/specimen searches, e-Learning and identification tools, and it is browsable by users of the FinBIF portal. The data is accessible to everyone under CC-BY 4.0 license (https://creativecommons.org/licenses/by/4.0) in machine readable formats. The taxon specialists maintain the taxon data using a web application. Currently, there are 60 specialists. All changes made to the data go live every night. The nightly update interval allows the specialists a grace period to make their changes. Allowing the taxon specialists to modify the taxonomy database themselves leads to some challenges. To maintain the integrity of critical data, such as lists of protected species, we have had to limit what the specialists can do. Changes to critical data is carried out by an administrator. The database has special features for linking observations to the taxonomy. These include hidden species aggregates and tools to override how a certain name used in observations is linked to the taxonomy. Misapplied names remain an unresolved problem. The most precise way to record an observation is to use a taxon concept: Most observations are still recorded using plain names, but it is possible for the observer to pick a concept. Also, when data is published in FinBIF from other information systems, the data providers can link their observations to the concepts using the identifiers of concepts. The ability to use taxon concepts as basis of observations means we have to maintain the concepts over time — a task that may become arduous in the future (Fig. 1). As it stands now, the FinBIF taxon data model — including adjacent classes such as publication, person, image, and endangerment assessments — consists of 260 properties. If the data model were stored in a normalized relational database, there would be approximately 56 tables, which could be difficult to maintain. Keeping track of a complete history of data is difficult in relational databases. Alternatively, we could use document storage to store taxon data. However, there are some difficulties associated with document storages: (1) much work is required to implement a system that does small atomic update operations; (2) batch updates modifying multiple documents usually require writing a script; and (3) they are not ideal for doing searches. We use a document storage for observation data, however, because they are well suited for storing large quantities of complex records. In FinBIF, we have decided to use a triplestore for all small datasets, such as taxon data. More specifically, the data is stored according to the RDF specification (https://www.w3.org/RDF). An RDF Schema defines the allowed properties for each class. Our triplestore implementation is an Oracle relational database with two tables (resource and statement), which gives us the ability to do SQL queries and updates. Doing small atomic updates is easy as only a small subset of the triplets can be updated instead of the entire data entity. Maintaining a complete record of history comes without much effort, as it can be done on an individual triplet level. For performance-critical queries, the taxon data is loaded into an Elasticsearch (https://www.elastic.co) search engine.

The Much Needed Security and Data Reforms of Cloud Computing in Medical Data Storage

Cloud computing has shifted our old documents up into the clouds, with the advancement of technology. Fast-growing virtual document storage platforms provide amenities with minimal expense in the corporate society. Despite living in the 20th century, even the first world countries have issues with the maintenance of document storage. Cloud computing resolves this issue for business and clinic owners as it banishes the requirement of planning, provisioning, and allows corporations to advance their filling system according to service demands. Medical practices heavily, rely on document storage as; almost all information contained in medical files is stored in a printed format. Medical practices urgently need to revolutionize their storage standards, to keep up with the growing population. The traditional method of paper storage in medical practice has completely been obsolete and needs to improve in order to assist patients with faster diagnosis in critical situations. Obtaining Knowledge and sharing it is an important part of medical practice, so it needs immediate attention to reach its full service potential. This chapter has analyzed content from literature that highlights issues regarding data storage and recommends solution. This inquiry has found a useful tool that can be beneficial for the development of this problem which is, ‘data mining' as it gives the option of predictive, and preventative health care options, when medical data is searched. The functionality and worthiness of each algorithm and methods are also determined in this study. By using cloud and big data services to improve the analysis of medical data in network of regional health information system, has huge advancements that assure convenient management, easy extension, flexible investment, and low requirements for low technical based private medical units.

The Much Needed Security and Data Reforms of Cloud Computing in Medical Data Storage

Cloud computing has shifted our old documents up into the clouds, with the advancement of technology. Fast-growing virtual document storage platforms provide amenities with minimal expense in the corporate society. Despite living in the 20th century, even the first world countries have issues with the maintenance of document storage. Cloud computing resolves this issue for business and clinic owners as it banishes the requirement of planning, provisioning, and allows corporations to advance their filling system according to service demands. Medical practices heavily, rely on document storage as; almost all information contained in medical files is stored in a printed format. Medical practices urgently need to revolutionize their storage standards, to keep up with the growing population. The traditional method of paper storage in medical practice has completely been obsolete and needs to improve in order to assist patients with faster diagnosis in critical situations. Obtaining Knowledge and sharing it is an important part of medical practice, so it needs immediate attention to reach its full service potential. This chapter has analyzed content from literature that highlights issues regarding data storage and recommends solution. This inquiry has found a useful tool that can be beneficial for the development of this problem which is, ‘data mining' as it gives the option of predictive, and preventative health care options, when medical data is searched. The functionality and worthiness of each algorithm and methods are also determined in this study. By using cloud and big data services to improve the analysis of medical data in network of regional health information system, has huge advancements that assure convenient management, easy extension, flexible investment, and low requirements for low technical based private medical units.