scholarly journals Pengujian Black Box pada Aplikasi Sistem Penunjang Keputusan Seleksi Calon Pegawai Negeri Sipil Menggunakan Teknik Equivalence Partitions

2019 ◽  
Vol 4 (4) ◽  
pp. 131
Author(s):  
Misbah Syah Anwar Kesuma Jaya ◽  
Pandu Gumilang ◽  
Tresna Wati ◽  
Yohanes Philipus Andersen ◽  
Teti Desyani
Keyword(s):  
Software Testing ◽  
Data Structures ◽  
Support System ◽  
Black Box ◽  
Civil Servants ◽  
Error Models ◽  
Box Method ◽  
Selection Of

Support System for Decision on the Selection of Prospective Civil Servants is still an error when making changes to the data that has been entered, so that it can cause data can not be updated. So it needs to be tested to find problems with this software. Tests conducted on this software use the Black Box method based on Equivalence Partition as a whole with regard to the use, benefits, and results found from the use of the software. Equivalence Partition-based Black Box method tests the quality of the application that will be carried out by software testing documentation with the discovery of errors in each form that is divided into three error models, including errors in Functions, Data Structures and Interfaces. This test provides results where we will find out whether the software This has an error or not, and this test can guarantee the quality of this software.

scholarly journals Pengujian Black Box berbasis Equivalence Partitions pada Aplikasi Seleksi Promosi Kenaikan Jabatan

2019 ◽  
Vol 2 (4) ◽  
pp. 155
Author(s):  
Adi Krismadi ◽  
Ana Fisca Lestari ◽  
Anisah Pitriyah ◽  
I Wayan Putra Ardhie Mardangga ◽  
Muji Astuti ◽  
...  
Keyword(s):  
Data Structure ◽  
Black Box ◽  
Application Software ◽  
Software Selection ◽  
Error Models ◽  
Software Documentation ◽  
Function Data ◽  
Product Method ◽  
Box Method

To guarantee the application (software) Selection Promotion Preferment is free from errors, testing is needed to test the quality of the application. This application has a problem when delete data, then the application will be tested with the Equivalence Partition-based Black Box Method thoroughly regarding the use, benefits, and results found from the use of the software. In testing the software Selection Promotion Preferment using Weight Product Method consists of 6 forms. Equivalence Partition-based Black Box method tests the quality of the application that will be carried out by testing software documentation with the discovery of errors on each form that is divided into three error models, namely errors in Function, Data Structure and Interface. The results of this test, to ensure the quality of the Selection Promotion Preferment application is free from errors by finding unintentional errors in the Selection Promotion Preferment application.

scholarly journals Teknik Pengujian Equivalence Partions untuk Pengujian Aplikasi Sistem Penunjang Keputusan Pegawai Terbaik Menggunakan Black Box

2020 ◽  
Vol 3 (3) ◽  
pp. 132
Author(s):  
Ahmad Zuhair ◽  
Farhan Khadafi ◽  
Achmad Muzakih Andriansyah ◽  
Bayu Saputra ◽  
Aries Saifudin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Data Entry ◽  
Black Box ◽  
Program Code ◽  
Black Box Testing ◽  
White Box Testing ◽  
Selection Of

The development of decision support system applications for the selection of the best employees is very important to support management in making decisions. This application must be free of errors because if there are errors can be detrimental to several parties, both the company and the employee. To guarantee that the floating application is error free, a test is needed. Testing on an application aims to check whether a program is running properly or there are still errors that must be corrected so that the program created will be a program that has good quality. The testing technique consists of White Box Testing and Black Box Testing which are widely used by testers to check the program is appropriate or not. The Best Employee Decision Support Application will be tested using Black Box Testing where the test only aims to see whether the program is in accordance with the function desired by the program without knowing the program code used. Types of testing of the various Black Box methods, one of which is the Equivalence Partitions used by the authors in this study. Equivalence Partitions Technique is a test based on data entry on each form in the Best Employee Decision Support System, each input menu will be tested and grouped according to function whether it is valid or invalid. With this test the quality of the software created can be expressed objectively very well and has fulfilled all the requirements set.

scholarly journals Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Berbasis Website dengan Metode Simple Additive Weighting

2018 ◽  
Vol 8 (1) ◽  
pp. 34
Author(s):  
Razqa Lathif Pradana ◽  
Dwi Purwanti ◽  
Arif Arfriandi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Automatic System ◽  
National Level ◽  
Black Box ◽  
Black Box Testing ◽  
Simple Additive Weighting ◽  
Selection Of

Generally, the selection of outstanding students in every school still uses the report value as the reference and it is done manually. It is required a system that may select the outstanding students accordance with the criteria and done automatically. In this study, it was developed an automatic system for selecting outstanding students by using Simple Additive Weighting (SAW) concept. The criteria set by the school in the selection of outstanding students are the average of the first and the second semester score, the achievements on district, city, and national level, liveliness in the organization and extracurricular, and credit point of attitude. Method of investigation used in this study is R & D, including introduction study, the development of system consisting of the application of SAW method and designing waterfall method, and testing of system which done by testing the comparison of the result and respond of users. The result of black box testing showed that all functionality in the system run well and appropriate; while for the white box showed that all paths run in accordance with SAW method. For the result of the comparison testing showed that the validation level was 100%. The result of the users respond revealed that the average of teacher responds was 90% and the students respond was 80, 34%. Therefore it can be concluded that decision support system by using SAW method can determine the outstading students.

scholarly journals The Design of Neural Network Based Accuracy Prediction for Software Testing Black-Box A Method with the Equivalence Partitions Technique

2020 ◽  
Vol 8 (9) ◽  
pp. 01-04
Author(s):  
Zulkifli et al.
Keyword(s):  
Neural Network ◽  
Software Testing ◽  
Black Box ◽  
Real Output ◽  
The Real ◽  
Network Algorithm ◽  
The Neural Network ◽  
Accuracy Level ◽  
Neural Network Algorithm ◽  
Box Method

The absence of a neural network algorithm model to predict the level of accuracy in terms of black-box software testing, equivalence partitions technique is a problem in this research. In this case, the algorithm used for predicting software errors by researchers is the neural network algorithm and testing the software uses the black-box method with the equivalence partitions technique. The neural network algorithm is an artificial neural system, or neural network are the physical cellular system that can acquire, store and use the knowledge gained from experience for activation using bipolar sigmoid output values which range between -1 to 1. Software testing black-box methods is a testing approach where the data comes from defined functional requirements regardless of the final program structure, and the technique used is equivalence partitions. The design prediction accuracy of this research is by determining the college application to be the software to be tested, then tested using the black-box method with the equivalence partitions technique (this test chosen because it will find software errors in several categories, including functions error or missing, interface errors, errors in data structures or external database access, performance errors, initialization errors and terminations), from the black-box test the dataset obtained. This dataset measures the accuracy of the real output and prediction output. The last step is calculating the error, RSME from the real output and prediction output. The results of this research show that the neural network algorithm was being to measure the accuracy level of software testing applied to determine the prediction of the accuracy level of black-box software testing with the equivalence partitions technique, and the average accuracy results are above 80%.

scholarly journals Web Based Decision Support System yo Determine yhe Appropriate Packaging of Ethnic and Traditional Indonesian Foods

2018 ◽  
Vol 14 (2) ◽  
Author(s):  
Latifah Nurbaiti ◽  
Kudang Boro Seminar ◽  
Nugraha Edhi Suyatma
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Food Packaging ◽  
Active Packaging ◽  
Web Based ◽  
The Right ◽  
Oxygen Barriers ◽  
Selection Of

Culinary efforts, especially ethnic and traditional snacks attract many people to Indonesia. Maintaining the quality of snacks for consumers requires a good packaging technique. Food packaging consists of a wide variety of packaging options that match the characteristics of each snack; this is no easy task. Decision support systems can help to facilitate decisions made regarding selection of the right packaging. This paper focuses on identifying snacks, types of packaging and active packaging parameters to build a decision support system in order to determine appropriate packaging. Types of packaging are determined using fuzzy Sugeno 4 parameters: fat, water activity, shelf-life and price. Active packaging of the snacks is done using the if-else rule with parameterised types of packaging, preservatives, oxygen barriers and water vapour barriers. The end result of this research is a web-based decision support system, which recommends types of packaging and active packaging for snacks.

ANALISIS SISTEM PENDUKUNG KEPUTUSAN DALAM MENYELEKSI PROPOSAL PROGRAM KREATIVITAS MAHASISWA PENELITIAN TERBAIK DI AMIK TUNAS BANGSA PEMATANGSIANTAR DENGAN METODE MOORA

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Winanda Alifah ◽  
Solikhun Solikhun ◽  
Muhammad Ridwan Lubis
Keyword(s):  
Decision Support ◽  
Student Affairs ◽  
Support System ◽  
Private University ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Directorate General ◽  
Moora Method ◽  
Selection Of

The Student Creativity Program is the most awaited activity for every state and private university in Indonesia. In this activity each college tried to send as many research proposals as possible with the aim of winning this PKM activity and the hope to improve the quality of a lecturer and student at the college. This PKM activity is included in a prestigious activity because this activity is organized by the Directorate General of Learning and Student Affairs. Therefore AMIK Tunas Bangsa as a private university also wants to participate in PKM activities, especially in the field of research. In 2017 many Tunas Bangsa AMIK students participated in the research proposal submission. With so many students who want to participate, make the lecturers select first proposals that are considered good or feasible before being uploaded on the PKM page. To facilitate the selection of the proposal, the Decision Support System using the MOORA method (Multi Objective Optimization on the Basic Ratio Analysis) is used in the hope of obtaining proposals that are truly feasible to submit to PKM-P activitiesKeywords: SPK, MOORA, Selection of PKM-Research Proposals   The Student Creativity Program is the most awaited activity for every state and private university in Indonesia. In this activity each college tried to send as many research proposals as possible with the aim of winning this PKM activity and the hope to improve the quality of a lecturer and student at the college. This PKM activity is included in a prestigious activity because this activity is organized by the Directorate General of Learning and Student Affairs. Therefore AMIK Tunas Bangsa as a private university also wants to participate in PKM activities, especially in the field of research. In 2017 many Tunas Bangsa AMIK students participated in the research proposal submission. With so many students who want to participate, make the lecturers select first proposals that are considered good or feasible before being uploaded on the PKM page. To facilitate the selection of the proposal, the Decision Support System using the MOORA method (Multi Objective Optimization on the Basic Ratio Analysis) is used in the hope of obtaining proposals that are truly feasible to submit to PKM-P activities.Keywords:SPK, MOORA, Selection of PKM-Research Proposals

scholarly journals DECISION SUPPORT SYSTEM FOR SELECTION OF EXEMPLARY EMPLOYEES AT PT. SINAR ASIA PERKASA

2020 ◽  
Vol 2 (4) ◽  
pp. 227-232
Author(s):  
Syahriani Syahriani ◽  
Nurmah Nurmah ◽  
Luthfi Indriyani
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Work Performance ◽  
Work Productivity ◽  
Matching Method ◽  
Profile Matching ◽  
A Company ◽  
Selection Of

Sinar Asia Perkasa is a manufacturing company, where this company is always required to innovate and improve the quality and quality of its products. Because of this, the company PT. Sinar Asia Perkasa must improve itself to get employees who have high quality and work productivity. Employees are one of the most important parts of a company that must be managed properly. To get employees of the highest quality, a process is needed that can automatically provide recommendations in selecting exemplary employees at PT. Sinar Asia Perkasa, namely by establishing a Decision Support System. This Decision Support System is expected to assist in objectively selecting employees. Making this Decision Support System using the Profile Matching method with several criteria, namely aspects of the discipline, aspects of integrity, aspects of cooperation, and aspects of work performance. Then for the final stage of this method is ranking.

scholarly journals Decision Support System for Restaurant Selection in Badung Regency with Geography Visualization

2019 ◽  
Vol 1 (1) ◽  
pp. 11-20
Author(s):  
Brigida Ari Minartiningtyas ◽  
I Made Bayu Prawira
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Food Price ◽  
Multiple Criteria ◽  
Quality Of Food ◽  
Comparison Weight ◽  
Selection Of

Decision Support System (DSS) is a system that can assist a person in making accurate decisions and on target. Many problems can be solved by using the DSS, which one is the selection of restaurants in Badung Region. There are several methods that can be used in building a DSS include Weighted Product (WP). WP is a method that the most widely used in solving problems with multiple criteria, such as DSS for selection of restaurants in Badung Region. This research uses the WP method for selection of restaurants in Badung Region. In determining the best choice of restaurants, there are several criterias that will use on taken the decisions, there are the quality of food, price, service, atmosphere, and distance. The value of each of these criteria derived from the reviews or ratings of other users, so these values are dynamic. User can freely set the value of the weight of each criterion to be compared in order to obtain the best results. The end result of this research is built a system that can help users to compare several restaurants that the results will be sorted from the best based on the results of the comparison weight that has been entere.

scholarly journals Metode Analitychal Hierarchy Process Dan Simple Multi Attribute Rating Technique Sebagai Penunjang Keputusan Pemilihan Supplier

2020 ◽  
Vol 18 (2) ◽  
pp. 63
Author(s):  
Bayu Aji Setiyawan ◽  
Sri Siswanti ◽  
Muhammad Hasbi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Black Box ◽  
Ahp Method ◽  
Validity Test ◽  
Application Program ◽  
Hierarchy Process ◽  
Selection Of

Process of choosing a supplier in Sukoharjo has not used the application program in making the decision but still use the manual way in writing. In addition, in conducting the selection of suppliers conducted by the HRD section is still subjective so that the results obtained in the selection of suppliers are less valid because in selecting HRD suppliers only choose based on price criteria, where If there is a supplier that offers the lowest price then the supplier will be chosen as a supplier in Sukoharjo. The purpose of the research is to build and implement a decision support system that is useful for the selection of suppliers in Sukoharjo using the method of Analyitychal Hierarchy Process (AHP) and Simple Multi Attribute Rating Technique (SMART). Where AHP method to calculate the weight of the criteria and SMART method to calculate the supplier's alignment. With testing black box system is already running according to the function and for the results of the validity test get the test value results in the category very good with a percentage of 80%.

scholarly journals Sistem Pendukung Keputusan Pemilihan Atlet Panahan Menggunakan Metode Analitycal Hierarchy Process Berbasis Web

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Eka Bayu Bimantara ◽  
Arief Budiman ◽  
Pradityo Utomo
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Black Box ◽  
Test Results ◽  
Priority Vector ◽  
Selection Decision ◽  
Hierarchy Process ◽  
Selection Of ◽  
Process Method

Decision Support System is a system was used to help getting making decisions on a problem, such as  selecting students in  the archery sports that will be face to a championship event such as SEA GAMES (South East Games). In Decision Support System there are many methods that can be used, one of them is Analitycal Hierarchy Process method. Analitycal Hierarchy Process method is one of the more efficient decision-making methods because the data is very detailed, all the criteria and alternatives will be compared one by one. The calculation used to solve a problem uses multiplication to relate the preference value, where the value for each criteria and alternative must be searched for eigen / priority vector first, after it is proved consistency using RI table (ratio index), if the result of verification is less than 10% (0.1) then it is consistent and the calculation can be continued, but if the verification result is more than 10% (0.1) then the calculation is considered inconsistent and needs to be repeated from the beginning. This support system uses a web base, where the data entered will be saved into the MySQL database. The test results of the Student Selection Selection Decision Support System Using Analitycal Hierarchy Process Method Based Web get results as expected on the Black Box. So it can be concluded an accurate percentage of system success of 100%.Keywords : Decision Support System, Black Box, Analitycal Hierarchy Process, The Selection Of  Athlete.

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