scholarly journals Implementation of Simple Additive Weighting Method in Determination of Aid for Students From Low Socio-Economic Status Family

2020 ◽  
Author(s):  
Mohamad Irfan ◽  
Hilman Rismana ◽  
Muhammad Firdaus ◽  
Wisnu Uriawan
Keyword(s):  
Economic Status ◽  
Weighting Method ◽  
Socio Economic Status ◽  
Simple Additive Weighting

scholarly journals IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN THE DETERMINATION SYSTEM OF THESIS SUPERVISOR

2021 ◽  
Vol 23 (2) ◽  
pp. 133-141
Author(s):  
Renny Puspita Sari ◽  
Ferdy Febriyanto ◽  
Ibnur Rusi
Keyword(s):  
Higher Education ◽  
Information Systems ◽  
Higher Education Institutions ◽  
Natural Sciences ◽  
Weighting Method ◽  
Weight Value ◽  
Determination System ◽  
Simple Additive Weighting

Majors are part of higher education institutions that a very important role determining the thesis student supervisor . At the Department of Information Systems, Faculty of Mathematics and Natural Sciences (MIPA) the determination of the thesis supervisor is carried out through a lecturer meeting based on its title in accordance with the competence of the lecturer who will guide, regardless of the number of lecturers' workload or the number of students being supervised. The results of the decision of the meeting to determine the supervisors will be announced to students after the meeting is held. This flow inefficient and may lead to ineffective determination of the supervisor . The final result of the system shows that the Simple Additive Weighting (SAW) method can be applied to determine the weight value of each attribute so as to produce a ranking of each alternative lecture who will be selected as a student supervisor for the thesis according to the result of computerized and accurate calculations.

scholarly journals Decision Support System for Determination of Salaries Employees in Civil Service Police Unit Deli Serdang With Simple Additive weighting method (SAW)

2020 ◽  
Vol 2 (1) ◽  
pp. 107-113
Author(s):  
Mifta Reza Yolanda ◽  
R. Mahdalena Simanjorang
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Civil Service ◽  
Preference Weight ◽  
Weighting Method ◽  
Simple Additive Weighting

This study examines how to design an application for the Deli Serdang Civil Service Police Unit in order to Facilitate the Process of Determining Salaries employee. With this application, it is hoped that it will make it Easier for the Office to Determine the determination of employee Salaries so that it is faster and more accurate. The SAW method certainly uses a more Appropriate assessment Because it is based on a criterion value of a predetermined preference weight. With the existence of accurate the data will be Able to minimize the time wasted and Be Able to use the system that is being designed. Data managed in the Office still uses Excel so that in its implementation the the data is still vulnerable to being scattered and the possibility of vulnerability to damage and loss of data.

scholarly journals Penerapan Algoritma Simple Additive Weighting untuk Membantu Dalam Menentukan Calon Penerima Bantuan Pangan Non Tunai

2020 ◽  
Vol 6 (1) ◽  
pp. 37
Author(s):  
Andri Andreas ◽  
Antonius Wiryadinata ◽  
Halim Agung
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Weighting Method ◽  
Technical Problems ◽  
The Government ◽  
Food Needs ◽  
Simple Additive Weighting ◽  
To Receive

Bantuan Pangan Non Tunai (BPNT) is a program organized by the government in overcoming poverty and food needs. The BPNT program aims to reduce the burden of expenditure and provide more balanced nutrition to Beneficiary Families (KPM). However, in the implementation of the BPNT program there were still technical problems, including the determination of potential BPNT recipients who were wrongly targeted. To facilitate Government in determining prospective BPNT recipients, the authors make a decision support system using the Simple Additive Weighting method where this system generates ranking to choose citizens who are entitled to receive BPNT through calculating the criteria of each alternative. It is expected that this application can provide recommendations for prospective BPNT recipients who are more targeted.

scholarly journals A revised scoring scheme for the classification of socio-economic status in Nigeria

2021 ◽  
Vol 48 (1) ◽  
pp. 26-33
Author(s):  
Michael O. Ibadin ◽  
George O. Akpede
Keyword(s):  
Socioeconomic Status ◽  
Public Service ◽  
Economic Status ◽  
Rater Reliability ◽  
Comprehensive Review ◽  
Socio Economic Status ◽  
The Past ◽  
The University

Background: Researchers in medicine and related fields in Nigeria have usually made recourse to the instrument developed by Olusanya et al and Oyedeji in the past three-and-a half decades for determination of socioeconomic status (SES). Beside the question of their age, however, these instruments were purposive and might no longer be suitable because of the changes in the parameters on which they were based.Objective: To develop a robust but generic scheme that takes into consideration the changes in the nation’s socioeconomic space in the succeeding three and a half decades.Methods: A detailed and comprehensive review of the extant schemes was undertaken with a view to identifying their inherent weaknesses. The latter were then factored into the design of a new scheme taking into consideration the emergent restructuring of career positions in the civil/public service as well as the place of private and informal sectors of the economy. The new scheme was validated at the University of Beninand Irrua Specialist Teaching Hospitals.Results: The new scheme had a remarkably high Inter-rater reliability (r = 0.947, p<0.001), raterre- rater reliability (r = 0.984, p <0.001) and % agreement (with modified Oyedeji’s tool as standard) of 67% (K coefficient = 0.47, r = 0.71, p<0.001)Conclusion/Recommendation: The new scheme could be a viable tool for the assessment of SES of families and individuals, which not only takes into consideration current realities of the nation’s economy, but also is readily adaptable to meet foreseeable changes.

scholarly journals Akurasi Penjurusan Bidang Keahlian Teknik Komputer dan Informatika Menggunakan Metode SAW

2020 ◽  
Vol 2 (3) ◽  
pp. 13-19
Author(s):  
Monsya Juansen ◽  
Sarjon Defit ◽  
S Sumijan
Keyword(s):  
High Accuracy ◽  
Vocational School ◽  
Computer Engineering ◽  
School Students ◽  
Weighting Method ◽  
Student Data ◽  
Information Engineering ◽  
Simple Additive Weighting ◽  
The Impact

Many students choose majors because of joining friends, because of the popularity of majors and other reasons even though the chosen majors are not in accordance with their talents. This research is expected to provide solutions to students regarding the majors they will choose. If this problem can be overcome then it will greatly affect both students and schools, the impact on students will be increased enthusiasm and enthusiasm for learning, for schools the impact will be the development of every department there is because the output produced is competent students because of the knowledge delivered right on target. This research is expected to minimize the mistakes in the selection or determination of student majors by applying the SAW method, can determine what variables determine the accuracy of the majors separation by applying the SAW method. The data tested on this system is the data of Bengkulu 1 Vocational School students as many as 100 student data on the Computer and Information Engineering skills program. he data that is processed in this system is the data of Bengkulu 1 Vocational School students as many as 204 student data on the Computer Engineering and Information Technology expertise program. The method of decision making in the system is the Simple Additive Weighting method. The results of testing this method from 204 test data performed for an accuracy of 94,61%. The high accuracy obtained from testing the data so that this system is very suitable to be used to determine the majors of students of SMKN 1 Kota Bengkulu in the field of Computer and Information Engineering expertise.

scholarly journals Akurasi Penjurusan Bidang Keahlian Teknik Komputer dan Informatika Menggunakan Metode SAW

2020 ◽  
pp. 77-83
Author(s):  
Monsya Juansen ◽  
Sarjon Defit ◽  
S Sumijan
Keyword(s):  
High Accuracy ◽  
Vocational School ◽  
Computer Engineering ◽  
School Students ◽  
Weighting Method ◽  
Student Data ◽  
Information Engineering ◽  
Simple Additive Weighting ◽  
The Impact

Many students choose majors because of joining friends, because of the popularity of majors and other reasons even though the chosen majors are not in accordance with their talents. This research is expected to provide solutions to students regarding the majors they will choose. If this problem can be overcome then it will greatly affect both students and schools, the impact on students will be increased enthusiasm and enthusiasm for learning, for schools the impact will be the development of every department there is because the output produced is competent students because of the knowledge delivered right on target. This research is expected to minimize the mistakes in the selection or determination of student majors by applying the SAW method, can determine what variables determine the accuracy of the majors separation by applying the SAW method. The data tested on this system is the data of Bengkulu 1 Vocational School students as many as 100 student data on the Computer and Information Engineering skills program. he data that is processed in this system is the data of Bengkulu 1 Vocational School students as many as 204 student data on the Computer Engineering and Information Technology expertise program. The method of decision making in the system is the Simple Additive Weighting method. The results of testing this method from 204 test data performed for an accuracy of 94,61%. The high accuracy obtained from testing the data so that this system is very suitable to be used to determine the majors of students of SMKN 1 Kota Bengkulu in the field of Computer and Information Engineering expertise.

scholarly journals Determination of receipt of UPZ assistance using the SAW method

2018 ◽  
Vol 1 (1) ◽  
pp. 13 ◽  
Author(s):  
Ahmad Wildan Listyanto ◽  
Kusrini Kusrini ◽  
Sudarmawan Sudarmawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Capital City ◽  
Decision Matrix ◽  
Weighting Method ◽  
Calculation Results ◽  
Simple Additive Weighting ◽  
The Impact

Zakat has a very strategic position in giving the impact of welfare and improving the community's economy if the collection and distribution are managed in trustworthy, transparent and professional. An institution on zakat management is National Zakat Agency (BAZNAS), which an institution manages the zakat management nationally, and non-structural government institution that is independent and responsible to President through the Minister of Religion. BAZNAS is located in capital city and assisted by zakat collection unit (UPZ). Along this time, they conduct manually in determining the person who will receive the assistance, but it often occur errors in its implementation. Therefore, a decision support system is needed to assist UPZ in determining the person who will receive the assistance. The decision support system was designed using SAW (Simple Additive Weighting) method, then the administrators obtain an alternative data in the form of lists of students who receive the UPZ assistance. The SAW algorithm is an algorithms for decision making. The SAW algorithm is also known as an algorithm with additive weighting method. The method requires normalization process of decision matrix (x) into a scale and can be compared to the entire available alternative ratings. The study showed that SAW can be applied to determine the acceptance of UPZ assistance by the calculation results of 16. The result of calculation and recommendation of decision support system for person who receive the UPZ acceptance, have the same data on output, namely Astin Dwi Wulan.

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