Analytical Hierarchy Process Calculation Research Articles

Analisis Pemilihan Pemasok Cat pada UKM SBS Garage And Paint

UKM SBS Garage and Paint is a workshop that operates in the field of motorbike and car body repaint services. The observation results show that this SME does not yet have the right supplier to become a supplier of epoxy paint and clear coat paint. The aim of this research is to determine the best supplier using the Analytical Hierarchy Process (AHP) method combined with the Expert Choice application. This method refers to the concept of pairwise comparisons that exist in a hierarchical structure. The criteria used in selecting suppliers include: Quality, Delivery, Responsibility and Flexibility. The research results show that the main priority in selecting a supplier is the Quality criterion with a weight of 0.517 in the AHP calculation while the Expert Choice has a weight of 0.525. The supplier that is the first priority in the AHP and Expert Choice calculation results is Triwana Color Center, second is the Daya Warna Paint Shop and the supplier that is third is U-pol Indonesia

Penerapan Metode Analytical Hierarchy Proces Pada Penilaian Kinerja Guru TK DPK Kecamatan Garum

This study aims to make it easier to find out the final results of the DPK kindergarten teacher performance assessment more easily and quickly. The method used in this study uses the Analytical Hierarchy Process (AHP) method. The method used starts from communication with the teacher performance assessor. In addition, researchers also conducted research using data collection methods through interviews and gave questionnaires to definitive school principals as teacher performance assessors in Garum District. The data collected is carried out by analyzing data using the Analytical Hierarchy Process (AHP) method and using expert choice software, where each criterion, subcriteria and alternatives in the assessment by comparing one element with another, so as to provide priority value output that produces a system that provides an assessment of teacher performance. The final result of the AHP calculation PKG that obtained the highest score 0.088 or 8.8%

Analisa Pengambilan Keputusan Pemilihan Venodr Seragam Dengen Merode Analytical Hierarchy Proces (AHP) ( Studi Kasus General Affairs PT Penjallindo Nusantara)

Decision makers need analytical tools that allow them to solve problems. Decisions to be taken are complex with major risks such as policy formulation, decision makers often need tools in scientific, logical, and structured forms. To determine the priority stages of criteria in order to obtain the most optimal results in returning uniform vendor selection decisions at PT Penjalindo Nusantara (Metaform) using the AHP (Analytical Hierarchy Process) method. In essence, AHP is a comprehensive decision-making model by taking into account qualitative and quantitative matters. There are three main principles in problem solving in AHP, namely: Decomposition, Comparative Judgment, and Logical Concistency. Bycomparing in pairs to determine the priority weight on each criterion and alternative. One of the paired comparisons is carried out in pairwise comparisons between criteria. Vendor selection criteria include quality, price, flexibility, delivery and service criteria. . Compiling alternatives that have been determined in the form of matirx in order to obtain the assessment weight of each variable, a table of pair comparison rating scales is made. Based on the results of the AHP calculation, each weight for each venodr is obtained PT Intan of 0.62860 and the weight value of the Super Decision is 0.638683. PT Parahita as a vendor with a weight value of 0.20475 and a weight value in Super Decision of 0.203985. PT Marcapada with a weight value of 0.16665 and a weight value in Super Decision of 0.159189. So the main uniform supplier is PT Intan with the largest weight.

Selection of Pin Component Sub Suppliers for Checking Fixture Products Using an Analytical Hierarchy Process Approach

The objective of this study is to employ a multi-criteria decision-making system technique to identify the most optimal supplier in the automotive components sector. When selecting a supplier, it is crucial to evaluate the pros and downsides of each source in order to secure the most suitable one. Bahana, Ltd is a company that specializes in the production of plastic components, molds, jigs, and equipment. During the production process of inspecting fixture items, pin components are required to assemble the components that need to be assembled. At now, there are no explicit guidelines for choosing suppliers, and the selection process relies solely on subjective evaluations. Consequently, it is necessary to establish supplier selection criteria through the utilization of the Analytical Hierarchy Process (AHP) methodology. This strategy is highly suitable for resolving decision-making challenges. Bahana, Ltd employs pairwise comparisons to evaluate four criteria: pricing, quality, communication, and location. Bahana, Ltd has the highest criteria value of 0.36 in terms of quality, followed by a value of 0.33 in terms of pricing. Hence, the paramount criteria in supplier selection are quality and pricing. According to the AHP calculation results, PT A was determined to be the optimal choice as it obtained the highest weight value in comparison to other suppliers.

Identification of forest fire hazard area in Kubu Raya Regency, West Kalimantan Province

Forest and land fires are events caused by both natural and human processes. Kubu Raya Regency, West Kalimantan is one of the districts that often experience forest and land fires. Generally, the forest and land fires are caused by human activities increase population density and land clearing through burning land. Forest and land fires in Kubu Raya Regency have caused environmental and economic damage, therefore it is necessary to identify the hazard areas for an effective management system to prevent more fires. This research aims to identify forest and land fire hazard areas and determine its relationship with concession areas in Kubu Raya Regency. Analytical Hierarchy Process (AHP) method is used to obtain the weight of each variable. There are three criteria that affect forest and land fire hazard area: topography, meteorology, and human activities, which consist of eight variables: altitude, slope, aspect, temperature, rainfall, wind speed, population density, and distance from the settlements. Based on the AHP calculation, the final weight of the topographic criteria is 0.11; meteorology 0.28; and human activity 0.62. This district’s forest and land fire hazard areas are divided into three classes: low, medium, and high. The weighted overlay result shows that Kubu Raya Regency is dominated by moderate forest and land fires areas, covering an area of 433.654,34 Ha or 50.7% of the total area. The second-largest forest and land fire hazard area are at a high level with an area of 244.282,41 Ha or 28.6% of the total area. The low forest and land fire hazard area has 177.624,25 Ha or 28.6% of the total area. The results fires hazards area were validated by hotspot data using the AUC/ROC curve and obtained an area under the ROC curve value of 0.76, which indicates moderate score of relationship.

Comparison of AHP and SAW Methods to Determine Outstanding Lecturers

The selection of outstanding lecturers in an Information Systems study program at XYZ University is currently still done conventionally. That is, it is still subjective and has not used special calculation methods to support decisions. Thus, it is necessary to have an appropriate decision support system to assist in determining outstanding lecturers objectively. The method used in this research is the analytical hierarchy process (AHP) and simple additive weighting (SAW). From the calculation of the two methods, the final result is a decision to select an outstanding lecturer in the same Information Systems study program, namely Mr. Argiyan Dwi Pritama. The results obtained from the AHP calculation yield a value of 1.46 while the SAW calculation produces a value of 0.522. From the AHP calculation, it can be concluded that the use of too many alternatives makes the ranking process too complex. Meanwhile, based on the SAW calculation, the technical calculation is very suitable for many alternatives, so it is more effective and efficient to use.

Perbandingan Metode AHP dan TOPSIS untuk Pemilihan Karyawan Berprestasi

This study designed a system to determine outstanding employee selection using a Decision Support System (DSS) with the Analytical Hierarchy Process (AHP) method and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The purpose of this study is to analyze the accuracy in making decisions. The stages of this research are collecting employee data and criteria data, then weighting the criteria and assessment, after that the calculation uses the AHP and TOPSIS methods, and the last step is the analysis of the calculation results and the calculation of accuracy. The criteria used are attendance, years of service, permission, and discipline. Implementation for building applications using the PHP programming language and MySQL database. The results of the calculation of the accuracy obtained by the AHP method are 100%, as well as the TOPSIS method at 100%. The results of the AHP calculation show that the first rank results are obtained with a value of 0.02525, namely employees with code K8, while the results of the TOPSIS calculation show that the first rank results are obtained with a value of 0.955236913, namely employees with code K8. This shows that the two methods have the same results in determining the first rank of employees, however the TOPSIS method is better than AHP because the TOPSIS calculation process is carried out twice normalization so that it does not produce the same value.

Allocating Of New Potential Bus Stop Location Using Analytical Hierarchy Process (AHP) technique

Public bus service is an essential transport in major cities. This service makes it easier for passengers to move from one place to another place. The aim of this research is to allocate new potential bus stop locations in Shah Alam. The purpose is to use the AHP calculation method to find the average priorities weightage value of the criteria and sub criteria used in this research. The applying of GIS to process the data calculated from the AHP will identify which criteria is preferred over each other to locate new bus stop locations. The methodology in this research is divided into four phases which is preliminary work, data acquisition, data processing, and data analysis. Software used in this research for data processing is ArcGIS Pro. How strategic is the locations of the bus stop according to the population? The rising of urbanization has led to increasing in population density; hence the location, functionality, safety, and visual appearance of bus stop are crucial. Therefore, this research is focused on allocating of new potential bus stop locations that has been identified through the GIS geoprocessing tools.

Priority Analysis of Mangrove Guraping Ecotourism Development Based on Spatial Data Using Process Hierarchy Analysis

This article aims to analyze the development priorities of Guraping mangrove ecotourism based on spatial data using process hierarchy analysis (AHP). The research process is divided into three stages: the pre-processing stage, processing stage, analyzing and reporting phase. In the processing stage, the spatial data used is Landsat 8 OLI in the Guraping mangrove ecotourism area from 2013-2021 with the Coordinate Reference System World Geodetic System (WGS) 84 or Universal Transverse Mercator (UTM) Zone 52N. In the Processing stage, raster data for each zone in the Guraping mangrove ecotourism area will be calculated using the Normalized Difference Vegetation Index (NDVI) algorithm to determine the maximum, average, and minimum values value. The analyzing and reporting phase contains an idea of NDVI calculations result related to the Decree of the Minister of State for the environment in 2004. The findings of this study indicate that the ranking system in the Analytical Hierarchy Process (AHP) algorithm can be used to analyze the priority of the Guraping mangrove ecotourism development program. In AHP Calculation, the programs consist of rehabilitation, restoration, reclamation, and conservation. In addition, the alternatives are zone 1, zone 2, and zone 3. The ranking results show that the program relevant to the NDVI calculation of the Guraping mangrove ecotourism context is the rehabilitation program. Furthermore, the alternative ranking results show that Zone 1 is the priority zone for the rehabilitation program.

RISK CONTROL STRATEGIES FOR RED CHILI SEED PRODUCTION

The purposes of this study were to identify risk components, determine the priority of risk components and formulate a strategy for controlling priority risk components at each stage of the red pepper seed production process. Fuzzy FMEA (Failure Mode Effects Analysis) and AHP (Analytical Hierarchy Process) were used in this study. The findings of the study showed that production risk has 15 risk components from 6 variables. The highest risk components for each of the red chilli seed production processes, namely, failure in the nursery, seedlings die after planting, changing weather conditions, rotten chilli, damage to the seed release machine and chilli seed moisture content are not according to the standard. AHP calculation results obtained the highest value weighting on the criteria, namely maintenance. An alternative control strategy that has the highest weighting value was caring and maintaining the production environment.

Penerapan Metode Analytical Hierarchy Process (AHP) dalam Perekrutan Petugas Keamanan

The security category does not escape a strict security system. The Security Task Force (SATGASKAM) is a unit that guards every agency and company in order to avoid crime. There were several problems in the security unit recruitment process. This applies a conventional assessment. It is said to be conventional because the assessment system in the recruitment only involves human reasoning abilities from a number of predetermined criteria. In this study, the Analytical Hierarchy Process (AHP) method was applied for the security guard recruitment system. The selection process uses criteria which are the requirements for being accepted as security officers. The criteria used are the level of education, the equality value, the psychological score, and the results of the interviews. These criteria include the requirements contained in the regulation of the Head of Police of the Republic of Indonesia. The research method is carried out in several stages by comparing the AHP calculation process and the process of the result value of the system. The AHP process begins by determining the criteria, the eigenvalues. The results of the AHP method show transparency in recruitment with respective values and have a certain weight according to the priority of the agency.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI USAHA JASA UMKM MENERAPKAN ANALYTICAL HIERARCHY PROCESS –WEIGHTED PRODUCT METHOD

This study produces a decision support system for selecting the location of the MSME service business in Alang-Alang Lebar Palembang. There are 2 methods used in this application, namely the Analytical Hierarchy Process (AHP) and the Weighted Product Method (WPM). AHP is used to determine the weight of the criteria and WPM is used to rank the location of the MSME service business. The criteria used in this SPK are rental fees (K1), renovation needs (K2), availability of clean water (K3), availability of electricity supply (K4), presence of asphalt roads (K5), parking space (K6), population density (K7 ), the presence of competitors (K8) and proximity to suppliers (K9). The AHP calculation results show that the rental fee has the highest weight, namely 0.35, which means that the level of importance of the rental fee is 35%. The WPM calculation results show that the location of the 8th MSME service business is the recommended location.

Application of recommendation system with AHP method and sentiment analysis

Over time, people needs are increasing. Needs that must be met, often cause problems in the people in determining a choice. People must make the right choice and according to their needs. Not an easy thing for people to make these choices. Therefore, a recommendation system is needed to support people in making decisions that fit their criteria. This research provides a system that can provide recommendations for decision support people according to their criteria, which are web-based. The decision-making system in this research uses the analytical hierarchy process (AHP) method. AHP is a multi-criteria decision-making method, which in this research one of the criteria is using sentiment analysis. Sentiment analysis is the process of understanding, extracting, and processing textual data to get sentiment information from an opinion sentence. The opinion sentiment value of each alternative will be included in the AHP calculation to get the best alternative recommendations according to the criteria of people. The result of this research is that the system can provide recommendations to people or users according to their criteria and alternatives as well as public opinion about each alternative.

IMPLEMENTASI ANALYTICAL HIERARCHY PROCESS (AHP) DALAM PEMILIHAN E-WALLET UNTUK MAHASISWA

Abstract: An electronic wallet is an electronic service to store the data of the payment instrument, such as a payment instrument using the card and/or electronic money, which can also accommodate the funds, to make the payment. The number of similar applications of electronic wallets available in Indonesia leads to confusion of which applications offer many advantages, easy to use and guaranteed transaction security. By using the Analytical Hierarchy Process (AHP) method to conduct research on three popular electronic wallet applications in Indonesia, especially among students, Dana, Go-Pay, and LinkAja. These three electronic wallet applications compare based on pre-defined criteria and sub criteria to be decided by the AHP calculation where Go-Pay is the best E-wallet Application for students to use

Selection of intensive shrimp farming technology for small farmers with analytical hierarchy process: a case for whiteleg shrimp (Litopenaeus vannamei)

Whiteleg shrimp (Litopenaeus vannamei) is one of the important aquaculture commodities. This is due to high demand and farming with high stock densities. However, whiteleg shrimp farming is generally large scale, so that farmers with small capital cannot carry out business activities. In this paper, an intensive assessment of four whiteleg shrimp technologies has been carried out with seven criteria. Four intensive shrimp farming technologies are biofloc technology, supra intensive, shrimp farming in mini scale with tarpaulin (BUSMETIK), and Recirculating Aquaculture System (RAS). Seven criteria that used in the assessment are affordability of capital and operational costs on a mini scale, minimum land area for shrimp farming, dependence on the location of raw water sources, environmental friendly, productivity, energy consumption, and biosecurity. The assessment was carried out using the Analytical Hierarchy Process (AHP) method to assess the compatibility of different technologies to low investment. The results of the AHP method show that RAS is ranked first for intensive shrimp farming technology for small farmers. Then followed by supra intensive, BUSMETIK and biofloc technology. Most of the criteria used in the AHP calculation are the advantages that RAS is very suitable for small farmers.

Analytical Hierarchy Process (AHP ) Implementation in D etermining Document E valuation C riteria of Post Qualification E Tendering Knockout P hase

The development of a country is directly proportioned to its growing infrastructure needs. One of the most needed infrastructure in Indonesia is medical facility. The construction of public hospital especially in its tendering phase needs to refer to the stated presidential decree that includes a specific rule and policy. The tender process needs to be done carefully to ensure the most beneficial offer is selected. This research will utilize e-tendering method to select the right construction partner. The criteria for the tender requirement will be chosen with the Analytical Hierarchy Process (AHP) which finally would be evaluated to determine the tender winner. AHP should help to elaborate the problem into multiple complex criteria, forming a hierarchy. The AHP implementation requires primary data from questionnaire and secondary data from existing research and policies. AHP calculation process is then used to process the data in the form of scores from the distributed questionnaire. The result of the AHP calculation was used to evaluate each offer from the goods and services providers, while finally done using the method of knockout by passing grade. The dominant factors that influenced the final decision making includes financial power (30.79%), Materials and equipments (8.55%), health and safety (4.59%), technical competence (8.91%), and experience (2.9%). AHP was proven to be very effective when utilized to evaluate e-tendering offer documents

Priority Proposal in Selecting Fresh Fruit Bunch Suppliers Using Analytical Hierarchy Process (AHP) and Weighted Scoring Model

This article discusses the proposed priority in selecting suppliers of fresh fruit bunches in a company engaged in agribusiness that produces crude palm oil (CPO). The problem faced by the company is that the FFB Internal plantation has not been able to supply all the needs of the fresh fruit bunch. In addition, the supply of fresh fruit bunches from farmer groups is not sufficient for processing capacity. In order to overcome this problem the company must determine potential suppliers to meet the processing capacity of the plant. To determine potential suppliers is done by selecting suppliers based on the appropriate criteria. In determining suppliers, the analytical hierarchy process (AHP) and weighted scoring models are used. The AHP method is used to determine the weighting of the quality criteria for fresh fruit bunches, then the weighted scoring model is used to rank suppliers based on the results of the questionnaire provided. Based on the results of the AHP calculation, the criteria for the quality of fresh fruit bunches, namely clean loose, have the highest weight of 0.24. Then based on the weighted scoring model, the supplier sequence is B (83), C (83), D (83), H (83), E (83) G (81.5), J (80.5), L (80.5), F (80), E (79), I (78.5), K (78), and A (71.5).

STRATEGI PENGEMBANGAN RESTORAN HALAL SEBAGAI PENUNJANG HOTEL SYARIAH (STUDI KASUS DI UNIDA GONTOR INN, UNIVERSITAS DARUSSALAM GONTOR PONOROGO)

Sharia tourism is a new trend of tourism in the world. Sharia tourism opportunities are potentially very profitable. Sharia tourism accommodates many industries, such as halal food, halal travel, halal restaurants, and sharia hotels. One aspect that must be met in the certification of sharia hotels is halal certified restaurants. UNIDA Gontor Inn is one of the hotels in Ponorogo owned by Universitas Darussalam (UNIDA) Gontor which is prepared to be a sharia hotel.The purpose of this study is to determine the strategy of developing hotel restaurants to become halal restaurants as supporting sharia hotels. Determination of the development strategy using the Analytical Hierarchy Process (AHP) method. AHP calculation obtained the highest level factor level priority results, production system 0.454, the highest level goal priority is halal restaurant certificate 0.412, the priority level alternative strategy is the highest weight, determination of the production quality standard of 0.316. Hotel management must focus on determining production quality standards related to input, process and output, including purchasing raw materials, receiving, selecting, storing, processing and serving according to the Halal Assurance System (HAS) so that it can support halal restaurant certification to support the hotel sharia, as well as being a pilot of sharia hotels in Ponorogo.

IMPLEMENTASI ANALYTICAL HIERARCHY PROCESS DALAM MENENTUKAN TINGKAT KEPUASAN PELAYANAN E-KTP (STUDI KASUS KANTOR CAMAT PAGAR MERBAU)

<p>The implementation of the service of making E-KTP (Electronic Identity Card) in some areas has problems such as data filling, fingerprint recording, retina, photo taking, the reason for blank E-KTP blanks and the bureaucratic structure of E-KTP publishing is often problematic because of the server system . Government agencies in the Pagar Merbau District Head Office do not know specifically the level of community satisfaction in managing the E-KTP. SPK application is used in decision making. The SPK application uses a flexible, interactive, and adaptable CBIS (Computer Based Information System) developed to support solutions to specific, unstructured management problems. The Analytical Hierarchy Process (AHP) method is a method of decision making in solving multicriteria problems. From the AHP calculation, the final result is obtained with the condition that if the value is ≥ 0.4, then the information is Satisfactory Service if <0.4, then the information is Poor Service.</p>

PENENTUAN MAHASISWA BERPRESTASI DENGAN METODE AHP DI STMIK PELITA NUSANTARA

<p>Being an outstanding student has criteria according to the awarding institution. There are special requirements that must be met by the participants of outstanding student selection. The assessment component in STMIK Pelita Nusantara is the cumulative Achievement Index (GPA), scientific writing, superior performance / abilities, foreign language skills, and personality. Decision support systems (DSS) are part of computer-based information systems including knowledge-based systems or knowledge management that are used to support decision making in an organization or company. The determination of outstanding students includes unstructured problems because they have different criteria. With the Analytical Hierarchy Process (AHP) method, a criterion will be compared to other criteria in terms of how important it is to achieving goals with other criteria. The results of the assessment weight are two, namely achievement and not achieving. Of the 10 students who were categorized as achievers, after the application of the AHP calculation, Anas Prasetyo obtained it Value = 2.76 and Ari Kurniawan = 2.57. Students are in the category of Achievement.</p>