Comparison of Indonesian Population Information System Service Performace Based On Information System Functional Scorecard Theory

The Balikpapan Population and Civil Registration Office has implemented service automation by using an information system to support the population and civil registration administration services in Balikpapan, Indonesia. The information system implemented is called The Population Administration Information System (SIAK). The office has previously implemented an information system similar to SIAK, namely the Population Administration Organizing System (SPAK). One of the office aims is to improve the quality of SIAK. SIAK quality is improved in order to achieve optimal service. As a step of achieving vision and mission, implementing work functions and optimizing the utilization of information systems, the comparison of information system performance between information systems that have been used with information systems that have previously been used. The guidelines used in assessing the performance of both systems are Information System Functional Scorecard (ISFS) theory. The data collected by questionnaires then conducted Paired-T Test so that the results of the two systems were obtained differences and can be compared to know which system is superior. SIAK is an information system that is declared superior to SPAK. Furthermore, the comparison results become a reference in providing recommendations for SIAK performance improvement based on the performance comparison results with SPAK.

A Hybrid Butterfly Optimization Algorithm for Numerical Optimization Problems

The butterfly optimization algorithm (BOA) is a swarm-based metaheuristic algorithm inspired by the foraging behaviour and information sharing of butterflies. BOA has been applied to various fields of optimization problems due to its performance. However, BOA also suffers from drawbacks such as diminished population diversity and the tendency to get trapped in local optimum. In this paper, a hybrid butterfly optimization algorithm based on a Gaussian distribution estimation strategy, called GDEBOA, is proposed. A Gaussian distribution estimation strategy is used to sample dominant population information and thus modify the evolutionary direction of butterfly populations, improving the exploitation and exploration capabilities of the algorithm. To evaluate the superiority of the proposed algorithm, GDEBOA was compared with six state-of-the-art algorithms in CEC2017. In addition, GDEBOA was employed to solve the UAV path planning problem. The simulation results show that GDEBOA is highly competitive.

Digitalisation of state and municipal services, using the federal state information system “Unified Population Register” as an example

The article formulates the prerequisites that prompted state authorities to implement the project of the federal state information system “Unified Population Register” in order to promptly obtain the most complete and reliable information on the citizens of the Russian Federation. The results of an overview of changes for citizens and government agencies from the introduction of a population information system have been presented. The relevance of the project has been analysed and the pros and cons have been considered. The creation of a single population register will simplify interdepartmental cooperation, facilitate the provision of e-services and social assistance to the population, help to combat crime more effectively, and further develop the information society.

Generalized radiation model for human migration

One of the main problems in the study of human migration is predicting how many people will migrate from one place to another. An important model used for this problem is the radiation model for human migration, which models locations as attractors whose attractiveness is moderated by distance as well as attractiveness of neighboring locations. In the model, the measure used for attractiveness is population which is a proxy for economic opportunities and jobs. However, this may not be valid, for example, in developing countries, and fails to take into account people migrating for non-economic reasons such as quality of life. Here, we extend the radiation model to include the number of amenities (offices, schools, leisure places, etc.) as features aside from population. We find that the generalized radiation model outperforms the radiation model by as much as 10.3% relative improvement in mean absolute percentage error based on actual census data five years apart. The best performing model does not even include population information which suggests that amenities already include the information that we get from population. The generalized radiation model provides a measure of feature importance thus presenting another avenue for investigating the effect of amenities on human migration.

Rancang Bangun Sistem Informasi Desa Manulondo Berbasis Web

This research aimsto produce a village web-based information system design in Manulondo Village. This application contains the design of a village information system including village profiles, population information, and village potential information. This research uses the method waterfall. The research stages include data collection, analysis, design, coding, implementation testing. The trial using BlackBox Testing. That is by testing the user interface system to find out whether the user interface contained in this application can function properly as expected. That results of the software design in the form of a web-based Manulondo Village information system, consist of, serach for population information an village potential information.

Population Demography

This chapter reviews population measurements and the demographic and epidemiological transitions and how these may change over time. Knowledge of the population age and sex structure and distribution are essential to estimate those people at most risk and for estimating population access to services and programmes. Sources of population information are presented and factors highlighted for the quality of population data. Definitions of demographic rates and life expectancy, population growth, census procedures, death certification, and demographic surveillance are all outlined.

Ancestry inference using reference labeled clusters of haplotypes

Background We present ARCHes, a fast and accurate haplotype-based approach for inferring an individual’s ancestry composition. Our approach works by modeling haplotype diversity from a large, admixed cohort of hundreds of thousands, then annotating those models with population information from reference panels of known ancestry. Results The running time of ARCHes does not depend on the size of a reference panel because training and testing are separate processes, and the inferred population-annotated haplotype models can be written to disk and reused to label large test sets in parallel (in our experiments, it averages less than one minute to assign ancestry from 32 populations using 10 CPU). We test ARCHes on public data from the 1000 Genomes Project and the Human Genome Diversity Project (HGDP) as well as simulated examples of known admixture. Conclusions Our results demonstrate that ARCHes outperforms RFMix at correctly assigning both global and local ancestry at finer population scales regardless of the amount of population admixture.

On the creation of databases to assess the impact of chemicals on the organoleptic and general sanitary limiting signs of the harmfulness in the water of water bodies

Introduction. Information on the MPC (TAC) value and the limiting hazard sign is important for the analysis of the hazard of chemicals in the water of water bodies for the health of the population, serves as the basis for the development of preventive measures to ensure safe conditions for water use by the population. For the purpose of specifying the possible adverse effects of the influence of chemicals on the hygienic conditions of water use of the population, information is needed on the entire spectrum of the effects of chemicals on water quality indicators. Materials and methods. The object of the study was indicators characterizing the effect of chemicals on the organoleptic properties of water and the general sanitary regime of water bodies, algorithms for analyzing primary data to determine threshold concentrations for the effect on odor, color, turbidity, foaming, pH, general sanitary regime of water bodies - biochemical oxygen consumption, concentration of nitrogenous connections. To organize the databases, the standard apparatus of the Excel subBD electronic tables was used. The mathematical apparatus of data analysis, grouping and selection of critical indicators of limiting signs is presented. Conclusion. It is concluded that the use of databases allows to study the relationship “concentration - effect”, increases the reliability and accuracy of substantiating the threshold concentration of pollutants in water by the influence of limiting signs of harmfulness.