Decision Support System Method Research Articles

Pemanfaatan Metode TOPSIS dalam Membangun Sistem Pendukung Keputusan untuk Menentukan Jenis Penyakit Tanaman Gandum; Studi Kasus di Ladang Gandum Alahan Panjang, Sumatera Barat

Wheat (Triticum aestivum L.) is an annual plant that can grow in highland areas. There are many types of diseases that attack wheat plants, making it difficult for farmers to determine the type of disease. Therefore, it is necessary to build a Decision Support System (DSS) that can determine the type of disease that attacks wheat plants. This research aimed to design and develop a Decision Support System (DSS) application to identify the types of diseases affecting wheat by observing the physical characteristics of the plants. These disease characteristics (criteria) were then inputed into the system, which used an algorithm based on the Technique for Order of Preference by Similarity to a Ideal Solution (TOPSIS) method. The DSS method used was TOPSIS, which considered four criteria: Flower, Stem, Seed, and Leaf. The application development method for the DSS used the Waterfall model, which consisted of the following stages: requirements, definition, system and software design, implementation, and unit testing. A DSS application using the TOPSIS method can determine the type of wheat disease based on physical characteristics as criteria that are inputed into the application. This application can help wheat farmers identify the diseases affecting their plants. The use of the TOPSIS method algorithm in developing the SPK application is an innovation that can help Alahan Panjang wheat farmers in detecting diseases types affecting their crops based on visible physical characteristics. Automatically, the system provides recommendations on the type of disease affecting the wheat plants.

Priority Strategy For Improving Dam Operation and Maintenance Performance (Cacaban Dam Case Study)

Dam operation and maintenance activities are critical, so the dam usually works and provides benefits according to plan. Over time, the performance of the Cacaban Dam has decreased significantly. The physical condition of the main building, supporting buildings, and instruments have experienced damage, which could pose a risk to the dam's safety. The main objective of this research is to determine priority strategies for improving operations and maintenance of the Cacaban Dam. Determining priority strategies for improving operations and maintenance in this research uses the DSS (Decision Support System) method with SWOT (Strength, Weakness, Opportunity, and Threat) and QSPM (Quantitative techniques Strategic Planning Matrix). Based on the SWOT analysis results, the resulting strategy is the Diversity Strategy, meaning that the Cacaban Dam is in good internal condition. In contrast, the external condition is not good. The proposed strategy is to minimize external threats/threats with strategic priorities referring to the scoring results using the QSPM method. Meanwhile, from the results of the dam performance assessment, Cacaban Dam obtained an average performance score of 3.45, considered adequate performance. However, if you look at several items of poor performance, there are two items, namely reservoir condition and border and greenbelt conditions, which have poor performance. There are seven components, namely intake buildings, spillway buildings, support hills, dam services, emergency action plans, instrumentation, and surrounding communities, whose performance is quite close to the deficient limit and has the potential for performance to decline. Extra handling is needed to restore the performance of dams and reservoirs.

Optimalisasi Penerapan Metode TOPSIS dalam Penentuan Dosen Berprestasi

The role of lecturers, especially for students, really determines the quality of the students themselves. Therefore, to create a quality future generation, qualified lecturers are also needed. However, currently there are many lecturers who only work as lecturers, but do not meet the criteria for a good lecturer. Giving awards to lecturers who excel is one of the efforts that can be done in order to create work motivation and increase the desire of every lecturer to become a lecturer who has good qualifications. However, the problem is to determine the best lecturers in a university, it will be very difficult if done manually. To make it easier for leaders to assess lecturers who deserve to be called achievers or not, a decision support system (SPK) is needed, where this SPK acts as a support for the leadership's reasons why the leader chooses someone as an outstanding lecturer. Decision Support System (DSS) is a system whose work uses a computer, where this system uses various methods which ultimately produce information in the form of a decision. the method used in this study is the TOPSIS method. The TOPSIS method is one of the DSS methods whose purpose is to produce an alternative with the highest value as an alternative recommendation. The results obtained in this study amounted to 0.5308 on behalf of Mesran as an alternative recommendation.

Perbandingan Metode TOPSIS dan WASPAS Dalam Sistem Pendukung Keputusan Pengangkatan Jabatan Manager

Performance appraisal and appointment of managerial positions are crucial aspects of modern organizational management. In dealing with the complexity of the factors that influence this decision, a decision support system (DSS) is an important tool to help make the right decision. In this study, the authors made a comparison between two popular methods in SPK, namely the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Aggregated Sum Product Assessment (WASPAS), to support the process of appointing a manager's position. The TOPSIS method relies on the concept of geometric distances to rank alternatives based on proximity to positive and negative ideal solutions. On the other hand, the WASPAS method assigns weight to each criterion and calculates the aggregate results for each alternative, resulting in a ranking based on the highest score. This study involved a dataset containing diverse and complex performance evaluation criteria for prospective managers. The experimental results show that both methods have their own strengths and weaknesses in generating alternative rankings. The TOPSIS method provides a more stable and consistent solution in dealing with variations in sensitivity to changes in criteria weights, while the WASPAS method tends to be more adaptive to scenarios where the relative preferences between criteria differ. In the context of appointing a manager, choosing the DSS method that is appropriate to the characteristics of the organization and the preferences of decision makers is a determining factor. Both of these methods can provide valuable guidance to decision makers in selecting the most suitable candidates for managerial positions. Therefore, an in-depth understanding of the differences and practical implications of the TOPSIS and WASPAS methods is essential in the context of intelligent and efficient decision making. The results of the comparison between the TOPSIS and WASPAS methods show that the results of both have the same highest rank, namely in alternative 9 in the name of Muhammad Faisal.

Selection of the MOORA Method in Motorcycle Lending Decisions

Nowadays, many people need vehicles for their daily activities, so motorcycle loans are an alternative. Motorcycle credit is a credit facility that aims to finance the purchase of motorcycles. In granting motorcycle credit, a system is needed that is able to select customers who are entitled to receive their applications according to predetermined criteria. This study uses a decision support system (DSS) as a problem solver in decision making. A decision support system (DSS) is a system that can provide the ability to solve problems in semi-structured and unstructured situations. One of the DSS methods used to solve decision-making problems This decision is the MOORA method. The MOORA method is a method whose calculations are made as simple as possible

Leveraging the Decision Support System and Simple Additive Weighting Method for Optimal Retail Location Identification

The decision-making process is a crucial part of any business or organization, and the Decision Support System (DSS) using the Simple Additive Weighting (SAW) method is a widely used tool for evaluating multiple options or alternatives. This study aimed to determine the best location for a new retail store using the DSS and SAW method. Four criteria were considered in the evaluation process: population density, proximity to competitors, average income, and rent cost. Data was collected and analyzed, and the weighted scores were calculated using the SAW method. The results of this study showed that Location A had the highest weighted score, and thus was determined to be the best option for the new retail store. This study provides a reliable method for evaluating multiple options and determining the best one. It also highlights the advantages of using the DSS and SAW method, such as the objective decision-making process based on data and criteria, and the high reliability of the results. Additionally, this study also points out the limitations of not using the DSS and SAW method, such as the subjective decision-making process based on personal bias and low reliability of the results. The DSS SAW method can be applied in various decision-making scenarios, and this study can serve as a guide for future research and decision-making processes.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SEPEDA MENGGUNAKAN METODE PROMETHEE

Toko Sepeda Super Top is a shop that sells various kinds of bicycles in Sekadau Regency. Not a few consumers are confused in choosing a bicycle. Based on the survey, 59.3% of respondents stated that it is difficult to choose a new bicycle. To assist consumers in choosing a bicycle, we need a system that can support consumers in making decisions. This study utilizes a Decision Support System (DSS) to support Toko Sepeda Super Top consumers in choosing a bicycle that suits their needs. The DSS method used is the Promethee type I method with the criteria used in the form of brand, price, durability, design, weight, and accessories. The form of research used in this research is a case study with a software design method, namely the prototype method. The result of this research is a bicycle selection DSS software that can be accessed by two levels of users. Admin can process bicycle data by inputting, updating, and deleting data. Then ordinary users can use a decision support system with the Promethee method to assist in bicycle selection.

Freight Forwarding Company Selection Using Hybrid IFAHP-IFTODIM Method

In selecting the best freight forwarding company, the concept of a Decision Support System (DSS) can be used to find the best solution from several alternatives. One of the DSS methods is the Intuitionistic Fuzzy Analytical Hierarchy Process (IFAHP) and Intuitionistic Fuzzy Tomada de Decisao Interativa Multicriterio (IFTODIM). This study applied the IFAHP method combined with the IFTODIM method to select the best freight forwarding company at PT Progressio Indonesia. PT Progression Indonesia is a manufacturing and retail company that produces furniture. There are 11 criteria used in the performance assessment of the four alternatives. This research shows that the best freight forwarding company at PT Progressio Indonesia is Kobra Express, with a comprehensive value of 1.000. The second is Herona Express, with a comprehensive value of 0.9437, followed by Indah Logistik Cargo, with a comprehensive value of 0.7005. The last is Guna Dharma Express, with a comprehensive value of 0.0000.

PENERAPAN METODE DSS (MAUT & IRR) DALAM MENENTUKAN KELAYAKAN PENGADUAN

The research and development center for mineral and coal technology or abbreviated as Puslitbang tekMIRA is located in Bandung, West Java, which has asset management, namely the rental of rooms or buildings. In asset management, there is a complaint page if a customer has a complaint. Based on the complaint data that came in at the same time, the authors saw that there were problems that were considered to need attention, namely which complaints would be resolved first and whether or not the complaint was feasible or not to be processed. This study uses the DSS (Decision Support System) method, namely Multi Attribute Utility Theory (MAUT) and IRR (Internal Rate of Return). The MAUT method is a method that converts some importance into a numerical value from a scale of 0-1 which represents the worst and best values ​​and the final result is a ranking. While the IRR method is an indicator of the efficiency level of an investment that is used to provide an overview of whether the complaint is feasible or not to be followed up. The result of the application of this method is the feasibility of the complaint.

Penerapan Metode Moora dalam Penilaian Kinerja Guru di SMK Negeri 3 Kota Bengkulu

Every school must have a Teacher Performance Assessment (PKG), one of which is SMK Negeri 3 Bengkulu. At this school, teacher performance assessments are carried out annually based on predetermined criteria. However, in the assessment process it is still done manually, the impacts that occur are errors in giving grades and differences in understanding between teachers because they feel less satisfied and inaccurate grades, causing instability in the teaching and learning process as well as gaps between teachers in schools. The teacher performance assessment application at SMK Negeri 3 Bengkulu City is an application that is used to facilitate the process of managing teacher performance assessment data in schools, where this application is made using the Visual Basic .Net programming language and SQL Server 2008r2 database. In this application, one of the Decision Support System Methods (DSS) has been applied, namely the Moora Method, so that the final result of the evaluation of teacher performance assessment is based on the calculation of the Moora Method. This can be used as an alternative in helping the school to add additional benchmarks for evaluating teacher performance assessment through the Moora Method approach which is calculated computerized so that the final score for each teacher will be made a ranking of the highest value to the lowest value. Based on the results of black box testing, the functionality of the teacher performance appraisal application at SMK Negeri 3 Bengkulu City has been running as it should and is able to display the final results of the teacher performance assessment based on the Moora Method process.

Analysis of Construction Implementation Time and Cost Scheduling by Adjusting Budget Changes Due to the Covid-19 Pandemic (Case Study on the Randugunting Dam Construction Project)

The Randugunting Dam, located in Blora Regency, is planned to have a capacity of 10.40 million m and is expected to irrigate an area of 630 Ha, providing a raw water supply of 0.15 m/second. The construction activity of the Randugunting Dam is one of the construction works that has been affected by the Covid-19 pandemic, namely cash flow is hampered. Therefore we need an analysis of cash flow management scenarios and determining strategies for handling the impact of the pandemic on implementation. The data used in this study is the result of interviews with the project implementation team for the Randugunting Dam construction, and data on the project cost budget. Cash flow management analysis is carried out by applying 3 scenarios, namely: scenario 1 (fixed time), scenario 2 (slowed down time), and scenario 3 (accelerated time). The analysis was carried out with the help of the Microsoft Project 2010. The determination of the handling strategy in this study used the DSS (Decision Support System) method, and the SWOT (Strength, Weakness, Opportunity, and Threat). The results of the study chose scenario 3, which is to speed up the time of 6 months. Acceleration is done by increasing the working time. The annual cost required is higher than scenario 1 (fixed time) and 2 (delayed time by 7 months), but the building is completed faster and can be used immediately. The strategy generated by SWOT analysis is Diversity Strategy and produces 8 (eight) strategies. Diversity Strategy is a strategy by maximizing internal strength factors (S), namely increasing the internal capabilities of project implementers and avoiding external threat factors (T), especially related to the Covid-19 pandemic.

Identifikasi dalam Penentuan Prioritas Usulan Kenaikan Jabatan Fungsional Pegawai Menggunakan Metode TOPSIS

Padang State Polytechnic (PNP) is one of the state universities located in the city of Padang, which has 39 Learning Laboratory Institution Functional Officials, who were later told by PLP. PLP is a Civil Servant (PNS) who is given the task, responsibility, authority and right to carry out activities in the field of learning laboratory management. The problem that occurs is that the PLP does not know the exact time of application for promotion and functional positions of each. Some of the difficulties occur in managing the sub-division of personnel in finding archives. This article is always increasing and accumulating each period of acceptance. So this research aims to process this staffing data to make it easier and to accelerate the promotion process. The method used is the Decision Support System (DSS) in identifying priorities for proposals for functional promotion. The DSS method used is Technique For Order Preference By Similarity to Ideal Solution (TOPSIS). The results of this study have the reliability in considering the shortest distance to the positive ideal solution and also the longest distance to the negative ideal solution. The alternatives and criteria used in this study consisted of 5 alternatives and 3 criteria. The value of ideal positive and negative solutions has a maximum value of K1 which is 0.66, K2 is 0.022, K3 is 0.05 and a minimum value of K1 is 0.1, K2 is 0.017, K3 is 0.022. The highest score in ranking is 2 people with a score of 1 and the lowest is 1 person with a score of 0.0008. So this research is very helpful in identifying promotion priorities appropriately

A TOPSIS AND ELECTRE COMPARISON ANALYSIS ON WEB-BASED SOFTWARE

Methods in the Decision Support System (DSS) have their own techniques in solving organizational problems. Determining the appropriate DSS method with the problem is a common difficulty experienced by organizations. The performance of a DSS method can be measured in various ways. This research aims to determine the performance of the two DSS methods, specifically Technique for Others Preference by Similarity to Ideal Solution (TOPSIS) and Election at Choix Traduisant La Realite (ELECTRE) which are applied to the best lecturer selection system. The research was carried out on software designed using efficiency as one of the International Organization for Standardization (ISO) 9126. The performance of both methods tested on validity and sensitivity testing. The results showed that the TOPSIS performance was better in terms of efficiency and sensitivity. TOPSIS execution time is 0.0085 seconds faster and has a greater sensitivity value of 2.18% compared to ELECTRE. Validity result gave the best results reaching 100% to ELECTRE. That means, the ELECTRE calculation can be trusted because it has a perfect level of accuracy.

Hybrid DSS for recommendations of halal culinary tourism West Sumatra

<p><span id="docs-internal-guid-41629e29-7fff-b967-f086-5ed18dc647ab"><span>Decision support system (DSS) is a system that design to support managers in deciding on multiple criteria and multiple attributes. This study combines two methods in the DSS, that are analytical hierarchy process (AHP) method and simple additive weighting (SAW) method. This combination of two DSS method named hybrid DSS. The AHP method is using to find the weighting or priorities of criteria in DSS and then the value will use by SAW method using to find the decision. The decision of this DSS is the recommendation of halal culinary tourism in West Sumatra Indonesia. The purpose of this study is to provide updates from previous studies, related to adding indicators of halal culinary tourism and other information updates. The number of potential culinary tourism attractions and tourism, the problems that exist in the real field, is still lack of culinary information in West Sumatra. As a result, many tourists find it difficult to find the best and economical culinary. The SAW and AHP methods become the hybrid DSS method that will be able to classify and provide information on halal tourism in West Sumatra that is precise, accurate, consistent, and validated.</span></span></p>

Measuring the effects of different factors influencing on the readiness of SMEs towards digitalization: A multiple perspectives design of decision support system

The development of small and medium enterprises (SMEs) becomes the benchmark and leading position for developing countries’ economies. The digital transformation demands strategies, desires, and awareness of Information Technology (IT)-based market players and investments. Despite the transformation of a digital business platform, many SMEs have stumbled in the middle road. Therefore, this study aimed to determine priority indicators in assessing SMEs’ readiness towards digitalization and evolving a readiness model for SMEs based on the Decision Support System (DSS) approach. Multiple stakeholders’ viewpoints, particularly regarding academicians, governments, investors, market places, and SMEs’ business actors as targeted respondents, were scrutinized quantitatively and qualitatively to verify the proposed factors. The priority weights of factors have been examined from economic and IT perspectives and derived through deploying the Fuzzy Analytical Hierarchy Process (F-AHP) method. This study reveals the rank of measures necessary to assess the readiness of the digital revolution of SMEs. Transaction preparedness in SMEs’ cultural, educational, financial, and technological infrastructure views grows into the principal components during this assessment with 0.30 of vector value, accompanied by marketing and micro-environment at 0.24, management at 0.20, macro-environment at 0.03 and business activities at 0.02, respectively. For the recommendation purposes, the rubric segmented SME fitness into three levels, low, middle, and high performance. The prototype system DSS-SMEsReadiness was then evolved in order to simplify the adoption of the DSS method in the SME performance measurement model. The software analysis demonstrates that this application would assist decision-makers to ascertain SMEs’ readiness to digitalize. The future recommendation provides SMEs and stakeholders with knowledge transfers and acclimatization for taking the appropriate option about their business strategy, management resources, skills, and assistance programs for SMEs. This model attempts to reduce SME digitalization disruptions and achieve a digital business’s growth and sustainability in a nutshell.

The Application of Fuzzy-Analytical Hierarchy Process Method for Majors Selection at Public Universities

The purpose of this research is to build a decision support model for prospective students in choosing undergraduate programs at state universities after they accomplished their high school. There are more than 800 undergraduate programs from science and technology departments from 40 state universities in Indonesia. In this research, we use the Fuzzy Analytical Hierarchy Process (F-AHP) to model a decision. This method is chosen because able to make comparisons between criteria more complex than other DSS (Decision Support System) methods. For the criteria used in this research is computer-based test result, student capacity in 2019 and the people who interest in those majors in 2018. The main result of this research is a ranking of science and technology departments at 40 state universities in Indonesia. The results of this research are expected to be able to assist students in choosing majors that will be taken after graduation in their school. In addition, the method of this research can also be continued in subsequent researches that are similar (theoretically). Whereas practically, this method can be implemented every year using different data.

IMPLEMENTASI METODE FUZY-SIMPLE ADDITIVE WEIGHTNG (F-SAW) UNTUK SISTEM PENERIMA BANTUAN RUMAH DI KECAMATAN AMARASI KABUPATEN KUPANG

Penerima bantuan rumah untuk warga yang kurang mampu merupakan program bantuan pemerintah yang memiliki anggaran yang terbatas sehingga tidak semua masyarakat menerima bantuan rumah. Penentuan kriteria penerima bantuan rumah dapat dilihat dari 13 kriteria yaitu umur, pendidikan, pekerjaan, penghasilan, kepemilikan tanah, kepemilkan rumah, jumlah pengghuni, kondisi atap, kondisi dinding, kondisi lantai, kepemilikan kamar mandi, sumber air, sumber listrik. Untuk mendapatkan penerima yang layak diperlukan sebuah Sistem Pendukung Keputusan (SPK) agar mempermudah pihak pemerintah dalam memberikan bantuan rumah untuk warga yang kurang mampu. Metode Fuzzy Simple Additive Weighting (F-SAW) merupakan salah satu metode dalam SPK yang dapat membantu menyelesaikan masalah tidak terstruktur serta dapat mengakomodir kekurangan metode SAW dalam penilaian yang bersifat linguistik dan numerik. Pengujian sistem yang dilakukan menggunakan pengujian sensitivitas yaitu dengan merubah nilai bobot masing-masing kriteria secara bertahap. Dari pengujian sensitifitas diatas yang telah dilakukan, kriteria pendidikan paling sensitif karena saat dilakukan pengujian sebanyak tiga kali dari bobot tinggi diubah menjadi sanggat tinggi mengalami 1 kali perubahan, rendah mengalami 4 kali perubahan dan sangat rendah mengalami 4 kali perubahan, dengan perubahan tersebut didapatkan hasil presentasi 90 % untuk kriteria pendidikan. Dari hasil perbandingan yang telah dilakukan antara Dinas Sosial dan sistem, kuota data yang layak untuk menerima bantuan rumah sebanyak 30 data dari Dinas Sosial menunjukan bahwa total kuota data tersebut 20 yang sama dengan sistem dan 10 data tidak sama dengan sistem.

A Comparative Study of Problem Solving Methods in Decision Support Systems

Decision Support System (DSS) as one of the disciplines related to decision making both by individuals and companies in general, has been widely applied in various fields such as health, education, energy and business. There are several choices of methods related to decision support systems that have been used globally. The selection of suppliers as one of the important agendas in a company requires a decision support system so that the selected supplier is the best according to the criteria set by the company. In this study several DSS methods are used to solve supplier selection problems. In addition, this study conducted a comparison of the three methods in the DSS, namely WSM, SAW and WP in the case of supplier selection. The main contribution of this article is to compare some DSS methods that have not been studied before. As a result, there are two of the three methods that have the same sequence of results, namely the SAW and WP methods. Where in both methods the A2 alternative has the highest value of 0.875 for SAW and 0.84 for WP results. While very different results are obtained using WSM calculations.

Decision support system of e-book provider selection for library using Simple Additive Weighting

Each library has its own criteria and differences in the importance of each criterion in choosing an e-book provider for them. The large number of providers and the different importance levels of each criterion make the problem of determining the e-book provider to be complex and take a considerable time in decision making. The aim of this study was to implement Decision support system (DSS) to assist the library in selecting the best e-book provider based on their preferences. The way of DSS works is by comparing the importance of each criterion and the condition of each alternative decision. SAW is one of DSS method that is quite simple, fast and widely used. This study used 9 criteria and 18 provider to demonstrate how SAW work in this study. With the DSS, then the decision-making time can be shortened and the calculation results can be more accurate than manual calculations.

An Approach for Analyzing ISO / IEC 25010 Product Quality Requirements based on Fuzzy Logic and Likert Scale for Decision Support Systems

Decision Support Systems (DSS) are collaborative software systems that are built to support controlling of an organization in decision making process when faced with non-routine problems in a specific application domain. It’s important to measure portability, maintainability, security, reliability, functional suitability, performance efficiency, compatibility, and usability quality requirements of DSS properly. ISO / IEC 25010 which replaced ISO 9126, used for three different quality models for software products, such as: a) Quality in use model, b) Product quality model, and c) Data quality model. There is a lack of methodologies to measure and quantify these quality requirements. Fuzzy logic used to specify quality requirements of DSS, because it’s an approach to computing based on degrees of truth, rather than true or false logics. Likert scale is a method in which it converts qualitative values into quantitative values to make a best statistical analysis. The measurement and quantification of quality requirements of DSS is a challenging task, because these quality requirements are in qualitative form and can’t be represented in quantitative way. Although, several quality requirements methods for DSS have been proposed so far, but the research on analyzing quality requirements of DSS are still limited. In this paper, quantitative approach proposed for analyzing ISO / IEC 25010 product quality requirements based on fuzzy logic and likert scale for DSS which aims to quantify quality requirements. Moreover implemented proposed framework on a case study ‘Internet Banking’ and got data from 25 respondents i.e. System Analysts and Domain Experts of banking sector.