scholarly journals A Comparative Analysis On Equivalence class partitioning And Boundary value analysis

2020 ◽  
Vol 4 (1) ◽  
pp. 89-94
Author(s):  
Fitra Ramadhan ◽  
Maksum Ro’is Adin Saf

Pada perkembangan ekonomi di Indonesia yang sedang berkembang saat ini,  usaha dalam penyewaan ruko sangatlah pesat, dan untuk menyewa ruko haruslah sesuai dengan target yang ingin dicapai, seperti lokasi yang ramai, lokasi yang mudah diakses, ataupun kelengkapan ruko untuk memaksimalkan pelayanan. Akan tetapi dari beberapa kriteria tersebut, kemungkinan terjadinya kesalahan penyewaan ruko dapat muncul karena kurangnya dan keterbatasan dalam mendapatkan informasi ruko. Dari permasalahan tersebut dibangunlah sebuah Sistem Pendukung Keputusan untuk Penyewaan Ruko yang Strategis. Metode yang digunakan adalah Analytical Hierarchy Process (AHP). Kemudian, dilakukan tiga buah pengujian terhadap sistem yaitu pengujian black box, usability testing dan perbandingan perhitungan manual dan sistem. Didapatkan hasil pengujian black box dengan teknik Equivalence Class Partitioning bahwa semua inputan berjalan, dan dengan teknik Boundary Value Analysis didapatkan nilai batas atas dan bawah tiap masukan. Berdasarkan hasil rekapitulasi kuesioner terhadap user, responden setuju dengan kepuasan dalam penggunaan sistem dengan rata-rata 75,31%. Kemudian Berdasarkan perbandingan perhitungan manual dan sistem, didapatkan hasil selisih perhitungan sebesar 0,03, akurasi dari perhitungan sistem sebesar 100% dan perhitungan metode AHP berhasil diterapkan.


Techno Com ◽  
2020 ◽  
Vol 19 (3) ◽  
pp. 227-236
Author(s):  
Ervina Bungas Serelia ◽  
Maksum Ro'is Adin Saf

SMAN Dharma Pendidikan merupakan lembaga yang bergerak dalam bidang pendidikan. Setiap tahun rutin melakukan penentuan peminatann siswa SMA sesuai dengan kriteria yang digunakan. Masalah yang dihadapi oleh SMAN Dharma Pendidkan yaitu proses penentuan peminatan belum memiliki panduan baku dan memiliki subjektifitas yang tinggi. Selain diberatkan dengan adanya penentuan peminatan, siswa juga mengalami kebingungan dalam menentukan lintas minat. Dari permasalahan tersebut diperlukan sebuah sistem yang dapat membantu proses penentuan peminatan siswa. Proyek akhir ini menyajikan sebuah Sistem Pendukung Keputusan (SPK) yang dirancang dengan metode Simple Additive Weighting (SAW) yaitu perhitungan yang melibatkan nilai bobot dari setiap kriteria. Kriteria yang digunakan pada penentuan peminatan yaitu nilai rata-rata SKHU, nilai tes peminatan, nilai rapor IPA, nilai rapor IPS, rekomendasi orang tua IPA, rekomendasi orang tua IPS. Sedangkan kriteria yang digunakan untuk penentuan lintas minat yaitu kemampuan siswa, minat siswa, rekomendasi orang tua, rekomendasi guru. Sistem ini dibangun menggunakan Pearl Hypertext Processor (PHP) sebagai bahasa pemrogramannya dan MySQL sebagai basis datanya. Metode yang digunakan dalam pengujian ini adalah blackbox, confusion matrix, user acceptance testing(UAT), dan akurasi perhitungan manual dan sistem metode SAW. Ada 3 teknik black box testing yang diterapkan yaitu equivalence class partitioning, boundary value analysis dan decision table based testing. Berdasarkan pengujian confusion matrix terhadap metode SAW, dapat disimpulkan bahwa ketepatan klasifikasi sebesar 96.92%, ketepatan prediksi sebesar 96.87%, serta tingkat kesalahan sebesar 7.46%. Berdasarkan pengujian UAT dapat disimpulkan bahwa dapat diterima dengan baik. Selain itu, berdasarkna pengujian akurasi perhitungan sistem dan manual dapat dianalisa hasil dari sistem yang telah dibangun sudah sama dengan perhitungan manual dengan tingkat akurasi 100%.


2016 ◽  
Vol 9 (2) ◽  
pp. 30-39 ◽  
Author(s):  
Paulo S. D. Soares Filho ◽  
Álvaro J. M. Silva ◽  
Saulo M Velasco ◽  
Romariz S Barros ◽  
Gerson Yukio Tomanari

The present study presents a procedure to assess the property of symmetry by comparing the acquisition of conditional relations that are consistent and inconsistent with this property in a capuchin monkey (Sapajus spp.). One young male monkey underwent arbitrary matching-to-sample training. The experiment had four phases: Phase 1.1 (establishing A1B1 and A2B2 relations), Phase 1.2 (reinforcing B1A1 and B2A2 relations, consistent with the property of symmetry), Phase 2.1 (establishing A3B3 and A4B4 relations), and Phase 2.2 (reinforcing B3A4 and B4A3 relations, inconsistent with the property of symmetry). A comparison between Phase 1.2 (consistent) and Phase 2.2 (inconsistent) showed faster acquisition of consistent relations (B1A1 and B2A2) than inconsistent relations (B3A4 and B4A3). The results suggest that the established conditional discriminations may have the property of symmetry and confirm the potential of comparative analysis between the acquisition of conditional discriminations as a promising procedure to evaluate equivalence class formation in nonhuman subjects.


2019 ◽  
Vol 4 (4) ◽  
pp. 143
Author(s):  
Muhamad Nurudin ◽  
Windi Jayanti ◽  
Rio Dwi Saputro ◽  
Masda Priadyan Saputra ◽  
Yulianti Yulianti

In a software test, validation is one of the processes of checking whether the software meets the expected specifications and objectives or not. The data validation process has not been maximized can result in a mismatch of data that will be stored in the database. For example the amount of stock turned negative, or the number of digits entered can exceed the defined limits. This can be detrimental to the owner and user in using this application. Therefore, it is necessary to improve the quality of validation more accurately, so it can help the owner in terms of data accuracy. Applications are designed in such a way must go through a testing phase to ensure the quality of the software itself. Examples of tests can be said to be good if they have a chance of finding an error that cannot be revealed. Among the many ways of the Black Box testing methods, this study uses the Boundary Value Analysis testing method. The method tests the maximum number of limits and the minimum number of limits to produce a valid value, which is considered quite relevant for testing sales applications at PT Karunia Segar Kedua. The initial stage of the research needs to be done is to define the functionality to be tested, compile the test scheme, choose the material to be tested, determine the maximum and minimum number of limits in accordance with a predetermined database structure, conduct experiments, document research results, and draw conclusions. The conclusion is based on the testing has been done is software can be used properly, after an improvement is made on the errors found. However, this test has not been said to be perfect, because it is only done using a sample form. From the results of this test it is expected that the application can be used according to user requirements.


2020 ◽  
Vol 4 (2) ◽  
pp. 1
Author(s):  
Ismail Ismail ◽  
Jalisal Efendi

The Source Code Bank Programming application that the researchers built uses Borland Delphi which functions to support software learning activities and as a reference for software developers, especially the Delphi programming language. In the process of developing Source Code Bank Programming is still in the prototype stage and further development is still being carried out so that it can be competitively competitive in the world. It is necessary to do various evaluations of the quality of the application in order to match the expectations of the user, one of which is to analyze the quality of the application using the Black-Box Testing method. Testing the Black-Box Source Code Bank Programming uses 3 methods, namely; 1) Graph-based testing, 2) Equivalence Partitioning, and 3) Boundary Value Analysis. The research results show that graph testing, equivalence partitioning, and boundary value analysis will be able to help the process of making test cases and make testing simpler, There are errors in testing and are included in the defect-list, the test results also show that the fulfillment of user needs for public users with a value 0.90, user registers/member with a value of 1.00, students with a value of 0.90, lecturers with a value of 0.82 and admin with a value of 0.84 are classified as good because the degree of value in each user module is greater than 0.8.


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