Group Decision Support System (GDSS) Untuk Evaluasi Penawaran Pekerjaan Konstruksi Menggunakan Metode AHP dan Borda

Ogiana, Gede; Wirastuti, Ni Made Ary Esta Dewi; Ariastina, Wayan Gede

doi:10.24843/mite.2017.v16i03p04

Cited by 7 publications

(8 citation statements)

References 1 publication

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“…The decision makes Tourist DM, Government DM, Business DM, Academic DM, and Community DM. After obtaining the alternative results of individual decisions, an alternative decision in groups is conducted using the BORDA method [17], [35], in that method, alternative with top-ranking positions are given higher values with candidates in the next ranking position in a pairwise comparison. The alternatives consist of 10 attractions, and each tourism object's selection is based on the highest visit during the last ten years.…”

Section: Methodsmentioning

confidence: 99%

“…GDSS modeling uses AHP method to determine alternative individual decisions [11]- [14], while for the incorporation of alternative individual decisions into group decisions use BORDA method [11], [15], [16] which is one of the GDSS models, ranks voting preferentially. GDSS method can make a decision that accommodates alternative decisions from decision-makers [17]- [19], according to the preferences given by the decision maker. AHP method is to combine logic for quantitative and qualitative data, experience, insight, and intuition, and can be implemented into an algorithm [20], [21], and the depth of the hierarchical structure which makes the model calculation more detailed.…”

Section: Introductionmentioning

confidence: 99%

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Modeling of a Tourism Group Decision Support System using Risk Analysis based Knowledge Base

Sugiartawan¹,

Hartati²,

Musdholifah³

2020

IJACSA

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The increasing number of tourist destination becomes the main factor for export earning, job vacancy, business development, and infrastructure. The problem that occurs is the difference in regional income (GDP) that is quite significant in each region. Thus, it is necessary for the government to make a decision or policy in increasing tourist visits, mainly in Bali. In this case, choosing the most efficient decision from a number of decisions is for the government, tourists, community leaders, academics, and entrepreneurs in the tourism sector, especially in Bali. It is important to have a modeling decision support group (GDSS). GDSS modeling by integrating a knowledge-based (KB) risk analysis can determine decisions, extract information, and identify problems in the tourism sector especially, tourism objects in each region, more specifically. Problem identification in risk analysis modeling is determining decisions in handling risks and finding solutions from alternative tourism decisions that are potentially enlarged and knowledge gained from each decision-maker (DM). The process of identifying knowledge starts with comparing the assessment criteria on each tourism object and knowledge of tourism decision-makers. The results of GDSS modeling are subsequently integrated into knowledge-based risk analysis so that a decision is obtained in the form of an impact or risk and solution or recommendation in developing the specified tourism object. The purpose of combining the result is to understand the impacts or risks that may arise, and recommendations recommended so that the impacts or risks can be avoided.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling of a Tourism Group Decision Support System using Risk Analysis based Knowledge Base

Sugiartawan¹,

Hartati²,

Musdholifah³

2020

IJACSA

View full text Add to dashboard Cite

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“…Decision Support Sistem (DSS) merupakan suatu sistem yang interaktif, yang membantu pengambil keputusan melalui penggunaan data dan model-model keputusan untuk memecahkan masalah yang sifatnya semi terstruktur [3]. Dapat juga dikatakan sebagai sistem komputer yang mengolah data menjadi informasi untuk mengambil keputusan dari masalah yang spesifik.…”

Section: Tinjauan Metode Sistem Pendukung Pengambilan Keputusan (unclassified

Penerapan Metode Analytical Hierarchy Process pada Rekomendasi Keputusan Pemilihan SIM Card Provider

Subiksa¹,

Jasa²

2018

JTE

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SIM card provider is the center of mobile telecommunication such as telephones, texting, Internet or Blackberry messenger. Lately, the SIM card business development is be marked more kinds of SIM card offered by the provider company with various brands, features and facilities. This causes consumers find it difficult to choose the SIM card that suits their needs such as the phone call need, texting need, Internet and Blackberry package, and bonus that the consumer wants.From the problems above, consumer need a decision support system that can gives SIM card recommendation which suits the consumer's needs. The SIM card provider decision-making selection can be complex because of the multiple purposes of consumer. One of the tools that are suitable to use for SIM card sorting priority is Analytic Hierarchy Process (AHP) that is developed by Thomas L. Saaty.The final result from this thesis is a system of SIM card provider selection decision-making support which suits with the consumer's needs. The system is tested with data collection by using questionnaire, which aims to obtain data that is more accurate about the usefulness of the system that has been created. Data collection are through the 30 respondents who tried the system from the user side and 5 respondents who filled out questionnaires from the administrator side. The results of the data collection and analysis of data collected declare that this system has its deficiency, especially the difficulty of priority weighting of both.

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“…Model AHP mampu membuat permasalahan yang luas dan tidak terstruktur menjadi suatu model yang fleksibel dan mudah dipahami [1]. Metode AHP sering digunakan sebagai metode pemecahan masalah dibanding dengan metode yang lain karena struktur yang berhirarki [2] [3], sebagai konsekuesi dari kriteria yang dipilih, sampai pada subkriteria yang paling dalam. Memperhitungkan validitas sampai dengan batas toleransi inkonsistensi berbagai kriteria dan alternatif yang dipilih oleh pengambil keputusan.…”

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Sistem Pendukung Keputusan Kelompok Promosi Jabatan dengan Metode AHP dan BORDA

Sugiartawan¹,

Prakoso²

2019

. Sistem Inf. Komput. Terap. Indones.

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Determination of the best employees in a company aims to improve competitiveness and give awards to employees who have high dedication to the company. Difficulties in evaluating employees are the many assessment factors and characteristics of the appraisal and who will provide the appraisal, so that the appraisal is appropriate and transparent. Employee performance appraisal is carried out by 2 assessors namely the company manager and the head of the human resource management department (HRD) and consists of a number of criteria. The assessment will be difficult if done manually considering that each assessor has their own preferences in conducting the assessment. To overcome this we need a computer system that helps decision making, namely a group decision support system (GDSS) determining the best employees in a company The group decision support system developed in this study uses the AHP and BORDA methods to assist group decision making. AHP method is used for decision making in each appraiser, while the Borda method is used to combine the decision results of each appraiser so that the final result is the best employee in the company. Based on the final results of the best employee determination system in the form of ranking the final value of each employee. The highest value is used as a recommendation as the best employee.

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Group Decision Support System (GDSS) Untuk Evaluasi Penawaran Pekerjaan Konstruksi Menggunakan Metode AHP dan Borda

Cited by 7 publications

References 1 publication

Modeling of a Tourism Group Decision Support System using Risk Analysis based Knowledge Base

Modeling of a Tourism Group Decision Support System using Risk Analysis based Knowledge Base

Penerapan Metode Analytical Hierarchy Process pada Rekomendasi Keputusan Pemilihan SIM Card Provider

Sistem Pendukung Keputusan Kelompok Promosi Jabatan dengan Metode AHP dan BORDA

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