SAW Method Research Articles

Decision Support System Recommendation Housing Using AHP And Saw Method Palangka Raya City

Palangka Raya City, as one of the provincial capitals in Indonesia, which has an area of around 2,400,000 km2, is a strategic city as a service and distribution hub for the industrial, trade, government and education sectors. Regional Policy of the city government with the existence of a development plan in the City of Palangka Raya as an implementation of the city space with all the disadvantages of its designation resulting in a distribution pattern of urban land types which in fact is not evenly distributed throughout the city. This research was conducted based on the results of observations made in several Marketing Agents in the Palangkaraya Region, which included 5 districts where the survey results obtained several marketing agents for KPR housing with the aim of facilitating the purchase of KPR housing. The purpose of this study is to design a decision support system that is used to support the decision to purchase housing loans in the Palangkaraya area. Based on the research that has been done, it is expected that the results of the purchase decision support system for the KPR recommendation with the best value can be a recommendation for the purchase. This system is designed with the AHP and SAW methods to help prospective residents to determine the house based on the desired criteria.

SISTEM PENDUKUNG KEPUTUSAN SELEKSI PEREKRUTAN KASIR MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING

This study aims to solve the selection problem of recruiting employees to be placed in the cashier section at Growmart (Cab. Farming Business) - Bagan Batu Farm Shop. To facilitate the selection of cashiers at this company, it is done by building a decision support system that can help make it easier for companies to select prospective cashiers to be employed at the company. Decision support system built using the Simple Additive Weighting method. The criteria used in the DSS SAW method consist of psychological tests, interviews, health tests, education and work experience. The results of data processing from this research case study, obtained the 3 best cashier candidates with rank 1 is cashier 06 with a value of 1.00890, rank 2 is candidate for cashier 05 with a value of 1.00339, and rank 3 is candidate cashier 02 with a value of 0.99813.

Application of SAW Method in Decision Support System for Determination of Exemplary Students

The decision support system for determining exemplary students using the SAW method is a solution to existing problems so that the results of the assessment of exemplary students become more effective and efficient in terms of time and selection of exemplary students. Decision-making in the determination of exemplary students can be more detailed and more accurate from existing candidates to truly exemplary prospective students who meet the established criteria. This SAW method can help teachers in making decisions using weights that have been determined by the school. The results of the decision support system for determining exemplary students using the SAW method for Rank 1 were obtained by M. Pebi Ramadhan with a value of 0.992857. Rank 2 was obtained by Adittyo Yunanta with a value of 0.984286. Rank 3 was obtained by Aldo Al Farigi with a value of 0.982857.

Sistem Pendukung Keputusan Penilaian Kinerja Guru Dengan Metode Saw Pada Man 2 Tebo

MAN 2 Tebo is a high school under the auspices of the Ministry of Religion which is engaged in the field of Religion and Education. The development of a madrasa is determined by the number of students who register at the madrasa, of course with this increase it requires teachers who are competent and perform well in teaching. To improve good performance, of course, through teacher performance assessment, it is a very important thing in an educational institution. In this case, the process of assessing teacher performance is only limited to an assessment system for periodic salary and rank increases and there is no appreciation in terms of teacher performance appraisal. This is what causes the teacher to be a little unmotivated in performance. Therefore, based on these conditions, a teacher performance appraisal decision support system is needed that helps the head of madrasah in assessing teacher performance based on existing criteria. So the final result of this research is the design of a teacher performance appraisal decision support system with the SAW method which aims to facilitate decision making in determining teacher performance accurately and consistently.

Comparison of SAW, WP, and TOPSIS Methods in Determining the Best Journalists

Journalists are human resources that have a significant influence on journalistic companies. A system is needed to support the company's decision to select and measure its reporters. PT. Inipasti Communika is one of the journalistic companies that has never previously measured and assessed its journalists, so it has difficulty assessing and measuring its journalists. This study aims to provide a solution using the Decision Support System in decision-making using the SAW, WP, and TOPSIS methods and provide the final decision results based on comparing these methods. This study uses criteria and criteria values from these companies. The company's data related to its journalists is the privacy of PT. It is a Community, so the alternative value used is dummy data that is still by the original standards of the company's data. This study concludes that the three methods can provide the best alternatives with the same results.

Comparison of SAW, WP, and TOPSIS Methods in Determining the Best Journalists

Journalists are human resources that have a significant influence on journalistic companies. A system is needed to support the company's decision to select and measure its reporters. PT. Inipasti Communika is one of the journalistic companies that has never previously measured and assessed its journalists, so it has difficulty assessing and measuring its journalists. This study aims to provide a solution using the Decision Support System in decision-making using the SAW, WP, and TOPSIS methods and provide the final decision results based on comparing these methods. This study uses criteria and criteria values from these companies. The company's data related to its journalists is the privacy of PT. It is a Community, so the alternative value used is dummy data that is still by the original standards of the company's data. This study concludes that the three methods can provide the best alternatives with the same results.

Sawing Force Prediction Model and Experimental Study on Vibration-Assisted Diamond Wire Sawing.

Diamond wire sawing is the main machining technology for slicing various brittle materials, such as crystalline silicon, SiC, and NdFeB. Due to their high hardness and high brittleness, as well as the ease with which the surfaces of machined materials are damaged, it is difficult to further improve the sawing efficiency and the surface quality based on research conducted on the original machining method. In this paper, a vibration-assisted diamond wire sawing method is proposed. We analyzed the impact of load on the ingot, motion trajectory, and sawing depth of the abrasive particles, and a macroscopic sawing force prediction model for the vibration-assisted sawing method was established and verified via experiments. Based on the single-wire-sawing experiment and prediction model, the influences of the vibration parameters and sawing parameters on the sawing force were determined. The influences of vibration assistance on the surface quality, including the roughness profile, waviness profile, thickness profile, Ra, and Rz, were explored through single-wire-sawing experiments, and the influences of vibration assistance on the geometric parameters of slices, such as the total thickness variation (TTV) and warp, were explored through multi-wire-sawing experiments. It was found that vibration-assisted sawing can reduce sawing force and improve surface quality.

Rancang Bangun Sistem Pendukung Keputusan Pemilihan Sales Terbaik pada PT Caturadiluhur Sentosa Menggunakan Metode SAW


 PT Caturadiluhur Sentosa Palembang is a company engaged in the distribution, logistics, and retail of building materials. PT Caturadiluhur Sentosa Palembang has several obstacles, namely the criteria for determining the best current sales by determining the largest turnover only. So that the current best sales appraisal system is considered less effective and unfair. The system built aims to build the best sales decision support system that can manage sales data and assessment parameters properly. The system built can manage sales data, criteria data, store sales appraisal data, and calculate sales value using the SAW method. The system is built using the iteration method. The result of this research is a decision support system that gives the best sales ranking based on the results of the assessment calculated using the SAW method.
 Keywords: Decision Support System, Iteration, SAW

Determining the Eligibility of Livestock Assistance using the Weighted Aggregated Sum Product Assessment Method

Livestock is a part of the agricultural sector in Indonesia's national development which aims to increase the income and welfare of farmers and ranchers. This is evidenced by the growth rate which is always positive and the contribution which tends to increase, one of which is the Agam Regency Animal Husbandry Service. In providing assistance, the Livestock Service Office of Agam Regency, in providing assistance, livestock assistance is often not on target and the livestock assistance that is given is not properly managed because often groups of farmers or livestock after receiving assistance after being checked again, the livestock that are given are not well cared for. In providing livestock assistance, it is still being carried out by using a manual process, namely the Agam Regency Animal Husbandry Service in providing assistance does not use a special calculation method such as using the scientific method. The implementation of the Decision Support System in this study uses the Weighted Aggregated Sum Product Assessment (WASPAS) method, which is a combination method of the WP method and the SAW method. The WASPAS method is expected to provide better results in assisting the determination of decision support systems. Then the best solution will be made to help make a decision to determine the feasibility of livestock assistance using the Weighted Aggregated Sum Product Assessment (WASPAS) method. The results of this study that get the highest ranking is Breeder 4 with a preference value of 0.84. This research also produces a decision support system that can analyze the right assistance to be given to farmers so that farmers can receive assistance according to the problems they face.

Sistem Pendukung Keputusan Pemilihan Masyarakat Penerima Bantuan Program Keluarga Harapan Metode SAW

Uluwae II Village is one of the villages in the District on Nort Bajawa, Ngada Regency, whichis also a target village for receiving sicial assistance in the formof the Hope Program (PKH) assistance. PKH is a program of providing conditional social assistance to Beneficiary Families (PKM). In the particular, the objectives of PKH are to improve access and quality of education and health services for PKH participants, to in crease the education level of PKH participants, and to improve the health and nutritional status of PKH participants. Therefore, Uluwae II village official smust carefully select the right community to receive PKH assistance. In determining the PKH recipient community in Uluwae II village, it was still not right on targer, because the selection procces for the PKH recipient community was not running as expented by the community. Therefore, it is necessary to have a system to determine decision in determining the PKH recipient community. The purpose and benefit of this researchis to design and build decision support system to determine the right community to receive PKH according of the weigh to feach criterion. This research was completed through several stage, namely, collecting information through directre search at the location. The method used the SAW method to calculate the weight and determine the ranking.

Pengembangan Sistem Rekomendasi Melalui Pendekatan Web Semantik dan Simple Additive Weighting (SAW)

Indonesia is one of the countries that have the largest growth after China and India in the use of mobile phones. eMarkerter published that the number of mobile phone users in Indonesia increased by 37.1% from 2016 to 2019 and in 2019 it reached 92 million users. This study aims to develop a mobile phone recommendation system with a semantic web approach using the Simple Additive Weighting Method (SAW). The prototype system available online at http://mobile.oss.web.id that has 3 main features, namely searching, browsing, and recommendation features. The process of searching, browsing, and recommending the system using information that has been stored in Ontology. Meanwhile, the recommendation mechanism uses the SAW method as a method of calculating the weight of each cellphone and the weight of the criteria. Evaluation of functional requirements system using Black-Box testing approach, while evaluation of non-functional requirement systems using Technology Acceptance Model (TAM) approach by involving 32 respondents. The final result of the evaluation shows that the system functionality is running well as expected. Moreover, the evaluation of the non-functionality of the system showed that on average the respondents involved in the study agreed that the system developed was useful and easy to use

Analisis Sistem Pendukung Keputusan Penentuan Penerima Beasiswa Menggunakan Metode SAW dan AHP

Scholarship is one of the allowances given to students as study aid provided by the government. Likewise with the Kotawaringin Timur government, which annually provides scholarship assistance to students with limited conditions and quotas. Formal educational institutions under the auspices of the Kotim Regency Education Office, students or college students get a quota for those participating in the scholarship program for underprivileged and high achieving criteria from the government. Therefore, scholarships must be given to students who deserve and deserve to get it in accordance with the regulations that have been set at the Kotim Regional Secretariat office. This selection process requires accuracy and a long time, because each data is compared with each other according to predetermined criteria. This study resulted in the final value of the comparison between the SAW and AHP methods. The final result with the SAW method the highest value obtained by the fifth alternative with 100. While the final result with the AHP method obtained the highest value by A1 with a value of 0.4734.

Sistem Pendukung Keputusan Penilaian Siswa Menggunakan Metode Simple Additive Weighting Berbasis Framework Laravel

The assessment of student learning outcomes is a mandatory process in educational institutions, whether they are formal or non-formal, with the aim of monitoring and evaluating student progress during the learning process. With the advancement of technology, there are many processes that can be integrated with information technology to simplify existing procedures. The purpose of this research is to facilitate schools in making decisions regarding the results of the learning assessment process by using predefined attributes. The attributes used as reference for consideration are assignments, mid-term exams (UTS), and final exams (UAS). Therefore, this study is built using the SAW method and the PHP programming language supported by the Laravel framework. The output of this research is an information system that supports decision-making in assessing student learning outcomes in the form of subject rankings and provides transparency and convenience for students to access their grades or the final results of the student learning assessment process.

Sistem Pendukung Keputusan Penentuan Penerima Jaminan Kesehatan Masyarakat Dengan Metode SAW Pada RSUD Raden Mattaher Provinsi Jambi

RSUD Raden Mattaher Provinsi Jambi is a hospital owned by the Jambi Provincial Government located in the city of Jambi, established in 1948 with type C and joined with the Dinas Kesehatan Tentara (DKT). On November 19, 1972 it was moved to Jl. Lt. Gen. Suprapto No. 31 Telanaipura Jambi. This hospital was built on a land area of + 75,000 M2 with a building area of + 41,590 M2. Jaminan Kesehatan Provinsi (JAMKESPROV) is a health care effort whose financing is managed in an integrated manner. In addition, JAMKESPROV is a guarantee program for the payment of health care costs provided by the Jambi Provincial Government to the people of Jambi. The target of the Jamkesda Program is all people of Jambi Province who do not have health insurance in the form of Jamkesmas, ASKES and other health insurance. The Jambi Province Health Insurance program has weaknesses, among others, participant data is still not accurate, socialization is not optimal, and there are fees for getting cards. In addition, other problems are that there are participants who do not use the card when seeking treatment, the presence of Jamkesmas patients who incur costs, and the poor quality of service for Jamkesmas patients. To solve the problems that occur the authors conduct research and design a Decision Support System for Determining Acceptance of Public Health Insurance in the Health Sector with the SAW method. It is hoped that it can provide input and speed up the requirements process in supporting the decision of the recipient of the Public Health Insurance at RSUD Raden Mattaher Provinsi Jambi. And an alternative is to improve the Public Health Insurance service in determining who is entitled to Health Insurance at Raden Mattaher Hospital, Jambi Province. In this study, the UML (Unified Modeling Language) system modeling method includes Use Case Diagrams, Activity Diagrams and Class Diagrams.

Implementation of the SAW Method in the Decision Support System for Giving Rewards for Honorary Employees

Giving rewards to employees is one way to increase morale and improve performance for employees who excel. At the District Financial and Asset Management Agency. Asahan in choosing the best employees, the workload cannot be used as the only reference for the awarding of these rewards. However, there are several criteria that are also considered in giving rewards. So we need a decision support system to help the selection of the best employees. Temporary employees who are in government agencies have a percentage of 10% of the total number of registered employees. Every year, honorary employees renew their contract letters to continue their work. This is the basis for giving rewards or bonuses so that honorary employees are motivated to work and give the best results in carrying out and assisting civil servants in the government environment. The process of giving this reward was previously carried out manually, which is based on only one criterion, namely only from attendance. This makes it difficult to make decisions about the best honorary employees who are entitled to receive rewards. This consideration process is considered ineffective due to the different workloads of each honorary employee. To overcome the existing problems, we need a system in the form of a decision support system. It is hoped that this research will be able to determine the three best employees who are entitled to rewards in accordance with the performance criteria by calculating each weight of the criteria that have been set.

Implementation of the SAW Method in the Decision Support System for Contract Extension Freelance Daily Workers

The Department of Population and Civil Registration of Asahan Regency provides a freelance daily worker contract extension (THL) which is carried out once a year. Previously, the labor contract extension process was carried out by the head of the personnel sub-section directly in the field and then proposed to the Regional Personnel Agency (BKD) for approval. Then the BKD Office of Asahan Regency gave a contract extension letter to be distributed to contract extension workers who deserved to be extended the contract through the head of the civil service sub-section of the Asahan Regency Population and Civil Registry Office. However, with the number of proposals and the many criteria used in the assessment, this makes it difficult for the Dinas to make decisions about who is entitled to apply for an extension of their work contract. The solution to the problem of extending the contract for casual daily workers (THL) at the Department of Population and Civil Registry of Asahan Regency is by making a decision support system for extending the contract for casual daily workers using the SAW method.

Drivers in the Eco-Innovation Road to the Circular Economy: Organiational Capabilities and Exploitative Strategies

This article contributes to the empirical literature on the drivers of eco-innovation within the context of an organizational capability and exploitative strategies towards a circular economy. It explores the dynamics of the determinants of eco-innovation. The aim of this study is to contribute to this debate by analyzing evidence regarding the different factors influencing organizational capabilities in “transformative innovation” to support transition while eliminating obstacles to sustainability. The practical contribution of this paper is a consolidated, complete framework of eco-innovation that provides substantial insights to practitioners and facilitates the spread of eco-innovative practices. This study will benefit policy makers, key institutions, and firms to leverage the organizational capability with the effective implementation of eco-innovation processes towards a circular economy, where structural changes and transformative eco-innovation are the main determinants. However, the exploration of eco-innovation dynamics within a circular economy is still widely disregarded, especially concerning the trends and dynamics in policy-making processes and strategy development. The research employed the multi-criteria SAW method. The purpose of the suggested methodology is to establish the criteria for ranking the drivers of eco-innovation adoption. Research findings indicate the nexus between the drivers in eco-innovation and social behavior, eco-design, infrastructural changes, and political approaches. This study provides a comprehensive framework for understanding the drivers of eco-innovation towards a circular economy with regard to organizational capabilities and exploitative strategies.

The Assessment of Health Indicators and Health Equipment of OECD Countries with the Entropy Based ARAS and SAW Methods

Araştırmanın amacı OECD ülkelerinin, sağlık ekipmanları ve sağlık göstergeleri açısından belirlenen kriterlere göre sıralaması yapılarak; elde edilecek sıralamalar açısından değerlendirilmesidir. Çalışmada Çok Kriterli Karar Verme Yöntemleri tercih edilmiştir. Bu kapsamda araştırmada kriter ağırlıklarının hesaplanmasında ENTROPİ yöntemi, ülkelerin sıralamasının yapılmasında ARAS ve SAW yöntemleri kullanılmıştır. Araştırmada ele alınan ülkelerden eksik verileri olan ülkeler analize dâhil edilmezken toplam 21 ülkenin 2018 yılına ait verileri değerlendirilmiştir. Sağlık ekipmanları ile ilgili olarak mamografi, BT tarayıcısı, radyoterapi, MR cihazı ve hastane yatak sayısı kriterleri değerlendirmeye dahil edilmiştir. Sağlık göstergelerine ait kriterlerde ise doğumda beklenen yaşam süresi, bebek ölüm hızı ve beş yaş altı ölüm oranı ele alınmıştır. Değerlendirme sonucunda her iki yöntemde de sağlık göstergeleri bazında ülke sıralamasının aynı olduğu, sağlık ekipmanları bazında ise ilk dört ve son iki sırada yer alan ülkelerin aynı olduğu görülmüştür. Araştırma sonucunda ülkelerin sağlık ekipmanları ile sağlık göstergeleri sıralamalarının farklılıklar gösterdiği görülmüş, sağlık politikaları ve planlaması noktasında önerilere yer verilmiştir.

An Analysis Of SAW, WP And TOPSIS Methods In Determining The Best Employees At The Department Of Horticulture And Plantation Crops Of Bengkulu Province

The Department of Horticulture and Plantation Crops of Bengkulu Province is one of the Government Agencies in Bengkulu Province, where the office has implemented Information Technology which is used to assist the data processing. Every The Department of Horticulture and Plantation Crops of Bengkulu Province conducts employee performance assessments. In accordance with Government Regulation of the Republic of Indonesia Number 30 of 2019 concerning Performance Assessment of Civil Servants Part Three Article 41 Point (2) The performance appraisal of civil servants as referred to in paragraph (1) can be carried out by giving each element of the assessment a weight of 70% for the SKP assessment and 30% for work behavior assessment or 60% for SKP assessment and 40% for work behavior assessment. At The Department of Horticulture and Plantation Crops of Bengkulu Province, it uses the weight of the PNS performance assessment with 60% for the assessment of SKP and 40% for the assessment of work behavior. In the process of managing the data, computerization has been used through the Microsoft Office application package. The application for determining the best employees based on employee performance appraisal data at The Department of Horticulture and Plantation Crops of Bengkulu Province was made to help facilitate the Department in determining the best employees through 3 (three) decision support system methods, namely the SAW, WP, and TOPSIS methods. Comparative analysis of the 3 methods SAW, WP and TOPSIS went through 3 stages, namely processing time, final assessment results and sensitivity tests carried out. Applications for determining the best employees based on employee performance appraisal data at The Department of Horticulture and Plantation Crops of Bengkulu Province were built using the Visual Basic .Net programming language and SQL Server 2008 database. Based on the black box testing that has been carried out, the results show that the functionality of the application for determining the best employees based on employee performance appraisal data at The Department of Horticulture and Plantation Crops of Bengkulu Province runs as expected and the application is able to display the results of comparative analysis of the SAW, WP and TOPSIS methods and is able to display sensitivity test results.

AHP-SAW and AHP-WP Sensitivity Test in DSS Design for Housing Location Selection

The Decision Support System (DSS) is implemented by CV. IKS assists the director as a Decision Maker in determining the location of housing developments. In the case of determining the location of the subsidized housing project that was carried out in 2020, the DSS developed with two methods, namely DSS1 with the AHP – WP method and DSS2 with the AHP – SAW method, gives different outputs. The purpose of this paper is to conduct a sensitivity test to determine the MADM method most suitable for completing the locating determination of subsidized housing projects in CV. IKS. The sensitivity test method was chosen because this method can detect every ranking change in each MADM method. The more sensitive the value obtained from the change in ranking suggests the MADM method is the best in displaying the order of the ranked alternatives. It can be seen from the sensitivity test results that the change value of the AHP-WP method is 3.178%, and the change value of the AHP-SAW method is -19.274%. It concluded that the AHP-WP method was considered to be the most relevant in addressing the problem of determining the location of housing developments in the CV. IKS.Keywords: sensitivity test, MADM, AHP-SAW method, AHP-WP method, housing location determination