Uji Kualitas Website Admin Travel Booking Menggunakan Halstead’s Metric dan Equivalence Partitioning
Tripease is a travel booking admin website designed to enable admins with management roles for train tickets, hotel tickets, and user data. Blackbox testing ensures the software meets the set requirements and specifications and detects functional and performance errors. Whitebox testing is done to...
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| Format: | Article |
| Language: | Indonesian |
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Universitas Andalas
2025-05-01
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| Series: | Jurnal Teknologi dan Sistem Informasi |
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| Online Access: | https://teknosi.fti.unand.ac.id/index.php/teknosi/article/view/2735 |
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| author | Fauziah Nur Syifa Trisana Nurul Anzali Nabil Derrel Hendi Arifin Rangga Sidik |
| author_facet | Fauziah Nur Syifa Trisana Nurul Anzali Nabil Derrel Hendi Arifin Rangga Sidik |
| author_sort | Fauziah Nur Syifa |
| collection | DOAJ |
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Tripease is a travel booking admin website designed to enable admins with management roles for train tickets, hotel tickets, and user data. Blackbox testing ensures the software meets the set requirements and specifications and detects functional and performance errors. Whitebox testing is done to check the software's logical path by examining the software's logical structure and detecting errors, such as logical errors and script understanding errors. This research discusses testing the travel booking admin website using two methods: Halstead's Metric and Equivalence Partitions. This research aims to determine the success rate of features and predict the appearance of bugs on the website. White box testing with Halstead's Metric shows that the add train feature has the highest prediction of bugs (45.7%), while the add user feature is the lowest (13.4%). The average prediction of the occurrence of bugs in all features is 25.59%. Black box testing with Equivalence Partitions shows that the add user and edit user features have a low success rate because they do not succeed in the input validity test item. The add train and login features have a 100% success rate. Based on the test results, it is recommended that the code be refactored and the input validity of each feature improved.
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| format | Article |
| id | doaj-art-6dff2fd4a01a4eb1acb8e938c38d46ca |
| institution | Kabale University |
| issn | 2460-3465 2476-8812 |
| language | Indonesian |
| publishDate | 2025-05-01 |
| publisher | Universitas Andalas |
| record_format | Article |
| series | Jurnal Teknologi dan Sistem Informasi |
| spelling | doaj-art-6dff2fd4a01a4eb1acb8e938c38d46ca2025-08-20T03:48:42ZindUniversitas AndalasJurnal Teknologi dan Sistem Informasi2460-34652476-88122025-05-0111110.25077/TEKNOSI.v11i01.2025.67-72Uji Kualitas Website Admin Travel Booking Menggunakan Halstead’s Metric dan Equivalence PartitioningFauziah Nur Syifa0Trisana Nurul Anzali Nabil1Derrel Hendi Arifin2Rangga Sidik3https://orcid.org/0000-0001-9400-9185Program Studi Sistem Informasi, Universitas Komputer IndonesiaProgram Studi Sistem Informasi, Universitas Komputer IndonesiaProgram Studi Sistem Informasi, Universitas Komputer IndonesiaProgram Studi Sistem Informasi, Universitas Komputer Indonesia Tripease is a travel booking admin website designed to enable admins with management roles for train tickets, hotel tickets, and user data. Blackbox testing ensures the software meets the set requirements and specifications and detects functional and performance errors. Whitebox testing is done to check the software's logical path by examining the software's logical structure and detecting errors, such as logical errors and script understanding errors. This research discusses testing the travel booking admin website using two methods: Halstead's Metric and Equivalence Partitions. This research aims to determine the success rate of features and predict the appearance of bugs on the website. White box testing with Halstead's Metric shows that the add train feature has the highest prediction of bugs (45.7%), while the add user feature is the lowest (13.4%). The average prediction of the occurrence of bugs in all features is 25.59%. Black box testing with Equivalence Partitions shows that the add user and edit user features have a low success rate because they do not succeed in the input validity test item. The add train and login features have a 100% success rate. Based on the test results, it is recommended that the code be refactored and the input validity of each feature improved. https://teknosi.fti.unand.ac.id/index.php/teknosi/article/view/2735TestingHalstead's MetricEquivalence PartitioningBooking System |
| spellingShingle | Fauziah Nur Syifa Trisana Nurul Anzali Nabil Derrel Hendi Arifin Rangga Sidik Uji Kualitas Website Admin Travel Booking Menggunakan Halstead’s Metric dan Equivalence Partitioning Jurnal Teknologi dan Sistem Informasi Testing Halstead's Metric Equivalence Partitioning Booking System |
| title | Uji Kualitas Website Admin Travel Booking Menggunakan Halstead’s Metric dan Equivalence Partitioning |
| title_full | Uji Kualitas Website Admin Travel Booking Menggunakan Halstead’s Metric dan Equivalence Partitioning |
| title_fullStr | Uji Kualitas Website Admin Travel Booking Menggunakan Halstead’s Metric dan Equivalence Partitioning |
| title_full_unstemmed | Uji Kualitas Website Admin Travel Booking Menggunakan Halstead’s Metric dan Equivalence Partitioning |
| title_short | Uji Kualitas Website Admin Travel Booking Menggunakan Halstead’s Metric dan Equivalence Partitioning |
| title_sort | uji kualitas website admin travel booking menggunakan halstead s metric dan equivalence partitioning |
| topic | Testing Halstead's Metric Equivalence Partitioning Booking System |
| url | https://teknosi.fti.unand.ac.id/index.php/teknosi/article/view/2735 |
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