scholarly journals Penerapan Fuzzy SAW untuk Rekomendasi Penentuan Penerima Bantuan Pembangunan Rumah Tidak Layak Huni

2020 ◽  
Vol 2 (1) ◽  
pp. 36-42
Author(s):  
Rony Arzian ◽  
Zaenal Abidin ◽  
Pahrul Irfan ◽  
Muhammad Yunus
Keyword(s):  
Decision Making ◽  
Recommendation System ◽  
Black Box ◽  
Fuzzy Variables ◽  
The Poor ◽  
The Social ◽  
Weight Value ◽  
Manual Testing ◽  
Support Decision Making

Construction of Non-Habitable Homes (RTLH) is a government program managed by thesupervision of the Social Service (Dinas Sosial) in the form of housing construction assistancefunds for the poor. In its realization, assistance is still often found to be lacking on target. It isbecause the determination of beneficiaries is not correctly selected, and there are no standardmethods based on existing criteria. These problems require a system that can providerecommendations that conform to clear standards and use techniques that accounted. FuzzySimple Additive Weighting (SAW) method is one method used in decision making. This methodcalculates criteria to get ranking weights to support decision making. The process of selectingcriteria and determining fuzzy variables carried out as a primary process in this method. Afterthe fuzzification weight value obtained, ranking done to use as a reference in the decision makingof recipients. Based on the results of manual testing, the system made is under the effects ofmanual calculations with a level of accuracy reaching 100%, so that implemented as a basis formaking decisions. While testing, the black box system found that all the requirements tested canrun following the overall system functionality. With this recommendation system, it can help thedecision to find the recipients of the Fund for Non-Occupable Homes Construction Assistanceso that it is more targeted.

The Paradox of Poverty: Socio-Economic Aspects of Population Growth.— By T. Scarlett Epstein and Darrell Jackson. The Macmillan of India Limited Delhi, 1975. pp.127.

1978 ◽  
Vol 17 (3) ◽  
pp. 380-382
Author(s):  
M. Javed Akbar Zaki
Keyword(s):  
Decision Making ◽  
Social Situation ◽  
Economic Security ◽  
Rural India ◽  
Factors Affecting ◽  
Number Of Children ◽  
Economic Progress ◽  
The Poor ◽  
Fertility Decision ◽  
The Social

To many social theoreticians, the population explosion, particularly in the developing nations presents a crippling threat to their developmental pro¬cesses. Their argument's validity rests mainly on the assumption that expected economic progress is swallowed up by unbalanced rise of numbers in the population. The book being reviewed deals mainly with this subject matter and is divided into two parts, each containing three articles contributed by various researchers. Part one, 'The Social context of Fertility Decision' is focused on analyzing the role of factors affecting fertility at the micro-level decision making process. The first article 'Fertility decision in rural India' by Vinod Jainath, examines the applicability to rural India of various models of the process of fertility decision making and finds most of these wanting with respect to the Indian social situation. While analyzing the fertility patterns of Rural India, he points out the positive need for larger families among the poor small farmers mainly due to labour supply considerations. The author argues that unemployment and under¬employment actually motivate the poor to have more children as it better ensures their economic security in their old age. As the chances of gaining employ¬ment for their offspring diminish, they are induced to increase the total number of children in order that atleast one will be able to support them. Thus a vicious circle of poverty arises in large families because of each of the parents wanting to increase their children's chances of employment by ultimately reducing the overall employment opportunities even further and exacerbating their poverty.

scholarly journals The development of concepts of landscape functions in view of optimizing the environment conservation

2015 ◽  
pp. 16-25
Author(s):  
V. I. Kiriushin
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Functional Analysis ◽  
Social Economic ◽  
Human Society ◽  
Ecological Risks ◽  
Ecological Functions ◽  
Land Owners ◽  
The Social

The objectives relating to the optimization of the environment conservation involve the determination of biotope sensibility, valuation and forecasting of the landscape sustainable development and excessive anthropogenic loads, assessment of ecological risks and possible adverse consequences, analysis of conflicts, choice of methods for protection and development of the territory, determination of proportions between the agricultural lands and priority trends in land use, compromise decision-making and elaboration of methods to bring in correspondence the interests of land owners. These tasks are solved on the basis of landscape functional analysis. The major ecological functions are the following: bioecological (biotopic and biocenotic, bioproduced, bioenergetic, biogeochemical, concentrated, oxidation-reduced, destructed, activated-inhibited, sanitary); atmospheric (gaseous, heat exchanged, hydroatmospheric); lithospheric (relief-forming, lithological); hydrological and hydrogeological ones. Based upon the identification and assessment of ecological functions of landscapes the social-economic functions are determined to meet the requirements of the human society.

INTELLECTUAL DECISION-MAKING SUPPORT ON BUDGETARY CREDITING OF THE REGIONS

2017 ◽  
pp. 98-104
Author(s):  
Tatyana Ivanovna Buldakova ◽  
Akhmad Sharofiddinovich Dzhalolov
Keyword(s):  
Decision Making ◽  
Expert Knowledge ◽  
Mathematical Formulation ◽  
Fuzzy Variables ◽  
Development Indicators ◽  
Social Sphere ◽  
Neuro Fuzzy ◽  
The Social ◽  
Economic Indices ◽  
Fuzzy Network

The task about granting the budgetary credits to regions is considered, its mathematical formulation is given and features of decision are distinguished. The examples of socio-economic development indicators of regions are given. Due to weak structuring of budgetary crediting problem the system approach to its decision is offered. The basic groups of the factors influencing decision-making are formed. These factors determine the financial state of the regions, their economic situation and regional processes in the social sphere. The assessment of socio-economic indices and coordination of decisions on each group of the factors are executed by means of neuro-fuzzy network. Network structure reflects the qualified expert knowledge in the field of the region budgetary crediting, presented in the form of fuzzy variables and fuzzy rules. The architecture of the network is developed and the features of its training are explained.

scholarly journals Embedding Crowd-Vote as Knowledge Source to Support Decision Making on University Program Selection

2021 ◽  
Vol 12 (3) ◽  
pp. 2120-2128
Author(s):  
Ismail, S Et.al
Keyword(s):  
Decision Making ◽  
Recommendation System ◽  
Influential Factors ◽  
Constructive Feedback ◽  
Expert Opinions ◽  
Freshmen Students ◽  
Program Selection ◽  
Thinking Process ◽  
First Time ◽  
Support Decision Making

Crowd-vote has implemented as a part of a university program recommendation system, complementing the aspect of knowledge management.  The recommendation system is developed to support freshmen students’ decision making during program selection and uses for first time of enrolment.  The challenges of decision-making among students is formed by many influential factors like family, agents, universities and others.  Popular decision making models include rational, intuitive, among others. Rational models have series of sequential steps that involve a thinking process, while intuitive models are more on people experiences and recognition of the pattern based on what people believe and think how it will work.  Other models attempt to combine both rational and intuitive aspects of decision. The challenge is foreseen in capturing experts’ opinion as part of students’ decision making, since experts are the good source of knowledge to strengthen the process.  A prototype is developed for this purpose and constructive feedback from experts and students were collected to examine the significant use of crowd-vote using questionnaire survey. The objectives of this paper are to investigate the use of crowd-vote in leveraging decision making, and to evaluate the implementation of crowd-vote in supporting decision making during program selection.  The results from expert opinions and students’ evaluation are discussed.

Creating an Analytical Lens for Understanding Digital Networks in Urban South Africa

2010 ◽  
pp. 1051-1067
Author(s):  
Nancy Odendaal
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Actor Network Theory ◽  
Digital Networks ◽  
African City ◽  
African Cities ◽  
Making Sense ◽  
The Poor ◽  
The Social ◽  
The Individual

Recent literature on African cities examines the way in which social networks function as critical livelihood arteries in the ongoing survival strategies of the poor. An understanding of livelihood strategies is not new, but these transactions cannot be defined in space or frozen in time. This terrain comprises a divergent range of intentions, communications and movements exchanged between a multiplicity of actors making sense of their life worlds; negotiating, scheming and bargaining. Urban life continues to be reinvented at the margins, despite prevailing exclusionary economic and social forces. The potential exists for harnessing these strategies for developmental aims—building on the social capital created despite the absence of, or in addition to, the usual resources available for survival. One of these resources is Information and Communication Technology (ICT). Clearly the “real-time” communication, information transfer and exchange functions facilitated by mobile phones, e-mail and the Internet create the potential for informed decision making around the use and distribution of scarce resources. However, this chapter begins with the premise that ICT can only be considered a meaningful development tool if it is appropriated as ongoing input into the day to day decision-making of the poor. It is at this scale—the local, the individual, the social—that the appropriation of digital technologies is examined. The social appropriation of technology is considered in tandem with the network strategies people employ to manage and access resources. A conceptual bridge between the theoretical foundations of actor-network theory and the more contemporary writings on the African city is constructed to posit a theoretical lens for understanding digital networks in South African cities. The chapter concludes with a number of methodological implications with regards to future research into ICT and social networks in developmental contexts.

Sistem Pendukung Keputusan Kategori Rumah Tidak Layak Huni Di Kelurahan Majidi Selong Kabupaten Lombok Timur Dengan Metode Simple Additive Weighting (Saw)

2017 ◽  
Vol 17 (1) ◽  
pp. 46
Author(s):  
Marwan Hakim
Keyword(s):  
Decision Making ◽  
Information System ◽  
Information Modeling ◽  
Data Manipulation ◽  
The Poor ◽  
The People ◽  
Decision Making Processes ◽  
The Government ◽  
Simple Additive Weighting

Decision Support System (DSS) is an interactive information system that provides information, modeling, and data manipulation. This system is used to assist in decision-making processes in semi-structured situations of unstructured situations, in which no one knows uncertainly how decisions should be made. Application of Simple Additive Weighting (SAW) Method with the final result shown in the ranking of the weighting process based on the criteria and sub criteria. Habitable home category can be directly seen from the value and ranking so that it can be determined whether or not the people get help, whether in the form of home renovation or home surgery. With this application is expected all problems to the determination of the category of  for the poor wrong target will be solved and no more people complain about this, and for the government is expected to convey the mandate that is correct and no errors.

Social Choice in an Islamic Economic Framework

1991 ◽  
Vol 8 (2) ◽  
pp. 259-274
Author(s):  
Masudul A. Choudhury
Keyword(s):  
Decision Making ◽  
Social Choice ◽  
Social Order ◽  
Islamic Law ◽  
State Variables ◽  
Economic Framework ◽  
The Social ◽  
Individual Task ◽  
Islamic Economic

In this paper, the decision-making character of shura, the consultativedemocratic concept in an Islamic social order, will be shown to clearly definethe determination of both state variables (socioeconomic variables) and policyvariables and the simulative interactions between them. These variables willthen be shown to configure the consumption, production, and distributionmenus in an Islamic political economy. They will thus be shown as clearlydefined variables that help to formulate the social choice, the social welfarefunction, and the institutional decision-making problems in an Islamic politicoeconomicorder.Shuratic Decision Making in the Perspective ofOrganizational TheoryThe Islamic shuratic (i.e., based on shura) decision-making process isthe centerpiece of organhtional behavior in Islamic institutions. The followingis a technical explanation of this process in light of modem organizationaltheory:’(a) Shura is structured into representative decision makers fromvarious walks of life (“sharees”).(b) “The abstract nature of each individual task” is carried outby ijtihad and the interpretations and implementation of theShari’ah (Islamic law) to various socioeconomic problems ...

scholarly journals Implementasi Metode Clustering DBSCAN pada Proses Pengambilan Keputusan

2015 ◽  
pp. 185
Author(s):  
Anindya Santika Devi ◽  
I Ketut Gede Darma Putra ◽  
I Made Sukarsa
Keyword(s):  
Decision Making ◽  
Spatial Data ◽  
Data Clustering ◽  
Clustering Algorithm ◽  
Decision Making Process ◽  
Number Of Clusters ◽  
Potential Customer ◽  
A Company ◽  
Support Decision Making

Spatial Data Clustering is one of the significant techniques in data mining which used to obtain information or knowledge in a large number of spatial data from various applications. One technique that being a pioneer in the development of spatial data clustering algorithm is DBSCAN. This study is focused on implementation of DBSCAN method in decision making process in order to help a company to decide its potential customer. The trial results in this study show that DBSCAN method has been successfully conduct clustering process to support decision making process in determination of potential customer by forming several number of clusters.

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