scholarly journals KOMPARASI METODE SIMPLE ADDITIVE WEIGHTING (SAW) DAN ANALYTICAL HIERARCY PROCESS (AHP) UNTUK PEMILIHAN STAF LABORATORIUM KOMPUTER STMIK WIDYA CIPTA DHARMA SAMARINDA

2018 ◽  
Vol 22 (1) ◽  
Author(s):  
Salmon ◽  
Bartolomius Harpad
Keyword(s):  
Comparative Method ◽  
Measurement Scales ◽  
Ahp Method ◽  
Practice Test ◽  
Computer Laboratory ◽  
Computer Lab ◽  
Laboratory Staff ◽  
Comparative Results ◽  
Simple Additive Weighting ◽  
Selection Of

The main tasks of the computer laboratory staff are: practical administration services, preparation ofpracticum, recruitment and guidance of computer lab assistants, monitoring and supervising theimplementation of practicum and practice test. Selection of laboratory staff at this time made only directappointment by the leadership so the performance of staff is not good because the selected staff not inaccordance with the expertise it has. From these problems will be raised research Comparative Method ofSimple Additive Weighting (SAW) and Analytical Hierarcy Process (AHP) For Selection of ComputerLaboratory Staff In STMIK Widya Cipta Dharma Samarinda. The comparative results resulting from theSimple Additive Weighting (SAW) method and the Analytical Hierartical Process (AHP) method recommendthe appropriate Analytical Hierartical Process (AHP) method in the Selection of laboratory staff, where theAnalytical Hierarchical Process (AHP) method is considered appropriate to represent natural thinking tendto group system elements to different levels of each level containing similar elements so it is better to use forthe selection of laboratory staff that involves many criteria with different hierarchy levels. In addition, the32AHP method also provides measurement scales and methods to get priority for all hierarchy criteria, sinceeach criterion has unequal priorities.Keyword :Comparative, Simple Additive Weighting (SAW), Analytical Hierarchy Process (AHP),ComputerLaboratory Staff Selection.

DETERMINING THE DESALINATION UNIT COMPOSITION FOR COSTAL AREAS AND SMALL ISLANDS USE ANALYTIC HIERARCHY PROCESS

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Imam Setiadi ◽  
Dinda Rita K. Hartaja
Keyword(s):  
Analytic Hierarchy Process ◽  
Energy Demand ◽  
Pairwise Comparison ◽  
Small Islands ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Comparison Research ◽  
Hierarchy Process ◽  
Selection Of

Selection of the appropriate composition desalination units can be done with a variety of method approaches, one of the method is the Analytic Hierarchy Process. In determining the desalination unit with AHP method to consider is setting a goal, an alternative criteria and pairwise comparison. Research for the determination of the exact composition of the desalination unit in order to achieve sustainable drinking water suppy in coastal areas and small islands has been conducted. The results of the study are as follows, the energy demand of 50.83%, operator costs of 26.64%, maintenance costs of 14.13% and chemical requirement 8.4%. For an alternative composition desalination unit of RO 10 m3 / day is the best alternative composition with value of 59.61%, the composition of the next alternative is RO 20 m3/ day of 30.40% and the last alternative of the desalination unit composition is RO 120 m3/ day of 09.99%.Key words : Desalination, Mukti Stage Flash Composition, AHP

A Selection of Bandung City Travel Route Using The FLOYD-WARSHALL Algorithm

2020 ◽  
Vol 12 (7) ◽  
Author(s):  
Muhammad Ghifari Arfananda ◽  
◽  
Surya Michrandi Nasution ◽  
Casi Setianingsih ◽  
◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Rapid Development ◽  
Route Selection ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
A Value ◽  
Distance Data ◽  
Simple Additive Weighting ◽  
The City ◽  
Selection Of

The rapid development of information and technology, the city of Bandung tourism has also increased. However, tourists who visit the city of Bandung have problems with a limited time when visiting Bandung tourist attractions. Traffic congestion, distance, and the number of tourist destinations are the problems for tourists travel. The optimal route selection is the solution for those problems. Congestion and distance data are processed using the Simple Additive Weighting (SAW) method. Route selection uses the Floyd-Warshall Algorithm. In this study, the selection of the best route gets the smallest weight with a value of 5.127 from the Algorithm process. Based on testing, from two to five tourist attractions get an average calculation time of 3 to 5 seconds. This application is expected to provide optimal solutions for tourists in the selection of tourist travel routes.

SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

2016 ◽  
Vol 1 (1) ◽  
pp. 088
Author(s):  
Wahyu Joni Kurniawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytic Hierarchy ◽  
Assistant Coach ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of ◽  
Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

scholarly journals Factors affecting cyberloafing in computer laboratory teaching settings

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Sacip Toker ◽  
Meltem Huri Baturay
Keyword(s):  
Negative Attitudes ◽  
Computer Laboratory ◽  
Factors Affecting ◽  
Computer Lab ◽  
Student Demographics ◽  
Internet Skills ◽  
Laboratory Teaching ◽  
Convenience Sampling ◽  
Teaching Setting

AbstractThis correlational study investigated the factors affecting cyberloafing behavior in an educational environment, specifically that of a computer laboratory teaching setting. A total of 272 students selected using convenience sampling responded to a questionnaire that collected data about cyberloafing behavior and student demographics, personality type, sense of belonging, motivation, locus of control and teacher evaluation (respect, activities, communication, motivation) as well as computer lab teaching settings and norms. The results indicated that students in computer lab teaching settings cyberloaf mainly for socialization, followed by personal business and news follow-up. Males cyberloaf more frequently than females, especially for personal business and news follow-up. As students’ internet skills increase, so does their cyberloafing, particularly for personal business and socialization. A lack of instructor norms in computer lab lectures and student amotivation are also associated with increases in cyberloafing for personal business, whereas instructors’ respect for students and negative attitudes towards cyberloafing are associated with decreases in cyberloafing for socialization. This paper discusses the study findings in detail and makes recommendations for additional research.

scholarly journals Selection of dancer member using simple additive weighting

2018 ◽  
Vol 7 (3) ◽  
pp. 1096 ◽  
Author(s):  
Hana Adela ◽  
Kamarul Azmi Jasmi ◽  
Bushrah Basiron ◽  
Miftachul Huda ◽  
Andino Maseleno
Keyword(s):  
Community Life ◽  
Simple Method ◽  
Unitary State ◽  
Simple Additive Weighting ◽  
Selection Of

Travel and dance form in Indonesia is closely related to the development of community life, both in terms of ethnic structure and within the scope of the unitary state. This study determines the criteria for selecting dancer members and how to apply the qualified Simple method. Based on predetermined criteria is the ability to dance physical flexibility, skilled, nimble, confident, have the ability, fill out the form, and certificate of achievement. From the results obtained values then V1, V2, V3, V4, V5 is a member of a qualified dancer and has a highest value with a score of 100 which was obtained from V2. 

scholarly journals PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DAN WEIGHTED PRODUCT (WP) DALAM SISTEM PENUNJANG PEMILIHAN LAPTOP TERFAVORIT MENGGUNAKAN GUI MATLAB

2018 ◽  
Vol 7 (1) ◽  
pp. 11-22
Author(s):  
Abdiel Pandapotan Manullang ◽  
Alan Prahutama ◽  
Rukun Santoso
Keyword(s):  
Selection Criteria ◽  
Random Access ◽  
Spare Parts ◽  
Access Memory ◽  
A Value ◽  
Battery Capacity ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Color Screen ◽  
Selection Of

Laptops have become an important requirement for most students is to support educational activities and business activities. The number of brands of laptops or types of laptops that exist makes consumers especially students have their own preferences in choosing a laptop. The method can be used to select the favorite laptop are SAW (Simple Additive weighting) and WP (Weighted Product). Both of these methods are the methods used to solve the problem of MADM (Multi Attribute Decision Making). There are 30 types of laptops that will be used in the selection of the favorite laptops.For the selection criteria for the type of laptop that is priced, RAM (Random Access Memory), HDD (hard drive), a processor, a VGA (Video Graphics Array), weight, color, screen size, service centers, warranty, availability of spare parts, battery capacity, equipped with OS and application software. Selection of the favorite type of laptop is done with the help of MATLAB (Graphical User Interface) GUI (Matrix Laboratory) as a computing tool. SAW method and WP, in this research showed the same results that the most favored type of laptop laptop mode DEL INSPIRON 15Z-5523 with a value preference for SAW method amounted to 0.9518 while the WP method amounted to 0.9511.Keywords: SAW, WP, Laptop, favorite, GUI 

Implementasi Metode SAW Terhadap Sistem Pendukung Keputusan Memilih Dosen Terbaik Pada Politeknik Ganesha

2020 ◽  
Vol 5 (1) ◽  
pp. 90-95
Author(s):  
Romindo Romindo
Keyword(s):  
Decision Support ◽  
Student Assessment ◽  
Assessment Process ◽  
Educational Institutions ◽  
Assessment Criterion ◽  
Long Time ◽  
Alternative Ranking ◽  
Simple Additive Weighting ◽  
Assessment Questionnaire ◽  
Selection Of

The selection of the best lecturers gives recognition to lecturers who carry out tridharma higher education activities, whose results can be proud of and are useful for advancing academic and institutional quality. Educational institutions, especially the Ganesha Medan Polytechnic, annually select the best lecturers by conducting assessments by distributing questionnaires to their students. However, the assessment process is still done manually, so it takes a long time to process the data. In addition, the assessment is still not relevant to the actual situation because it only uses one assessment criterion, namely a student assessment questionnaire. Based on this, in this study, a decision support system design was used to select the best lecturers at the Ganesha Medan Polytechnic. Decision support systems built on a web basis using the PHP programming language and MySQL database. The decision making method used is the Simple Additive Weighting (SAW) method. This method is used to perform the best alternative ranking process from a number of alternatives.

Are the systems the same?

2020 ◽  
Vol 17 (1) ◽  
pp. 58-83
Author(s):  
Matthew Kanwit ◽  
Silvia Pisabarro Sarrió
Keyword(s):  
Comparative Method ◽  
Independent Variables ◽  
Languages In Contact ◽  
Preference Task ◽  
Selection Of

Abstract Although two languages in contact may contain similar structures, superficial structural similarities may abscond important differences. The comparative method critically determines whether the languages differ in relative rates of variant use, the significance of independent variables, constraint rankings, and ordering within factor groups (Poplack & Tagliamonte 2001). The study explored intensifier (i.e., degree modifier) variation between Spanish muy and bien and Catalan molt and ben “very”, as based on 84 sets of responses from bilinguals on a 24-item contextualized preference task (40 in Catalan, 44 in Spanish). Results indicated significantly higher selection of muy in Spanish than molt in Catalan. Moreover, independent variables played a greater role in Spanish, with adjective quality, animacy, and verb type all predicting intensifier selection, whereas in Catalan only adjective quality was predictive. The study provided the first variationist analysis of Catalan intensification, while also revealing key systemic differences between the two languages despite surface similarities.

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