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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi
Emy Susanti
Universitas Teknologi Digital Indonesia
Computer Science & IT

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Penilaian Kualitas Sistem Informasi Menggunakan ISO/IEC 25010 Dengan Metode Profile Matching Emy Susanti; Thomas Edyson Tarigan
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 12, No 1: April 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v12i1.1189

Abstract

Information system quality assessment is a benchmark used to determine the extent of success in implementing information systems. From these evaluation activities, further information system development can be carried out either in the form of repairs or adjustments. The standard used is ISO/IEC 25010 which consists of a software product quality model and quality in use model, and the Profile Matching method which is a method for decision support. The number of criteria used is 8 criteria and 31 sub-criteria for assessment, with a case study of the SIAKAD UTDI Academic Information System in Yogyakarta. The results obtained are Functional Suitability=5, Usability=4.6, Compatibility=4.4, Performance Efficiency=4.3, Reliability=4.2, Maintainability=4, Security=3.8, Portability=3.7. The best criterion is Functional Suitability = 5 and what is lacking is Portability = 3.7. In general, SIAKAD UTDI is well received by students and the deficiencies are due to the criteria for functions that are not used directly by students.Keywords: Quality assessment; Information Systems; ISO/IEC 25010; Profile Matching. AbstrakPenilaian kualitas sistem informasi merupakan tolok ukur yang digunakan untuk mengetahui sejauh mana tingkat keberhasilan dalam menerapkan sistem informasi. Dari kegiatan evaluasi tersebut selanjutnya dapat dilakukan pengembangan sistem informasi baik berupa perbaikan, atau penyesuaian. Standar yang digunakan adalah ISO/IEC 25010 yang terdiri dari software product quality model dan quality in use model, dan metode Profile Matching yang merupakan metode untuk dukungan keputusan. Jumlah kriteria yang digunakan ada 8 kriteria dan 31 sub kriteria penilaian, dengan studi kasus Sistem Informasi Akademik SIAKAD UTDI Yogyakarta. Hasil yang diperoleh Functional Suitability=5, Usability=4,6, Compatibility=4,4, Perfomance Efficience=4,3, Reliability=4,2, Maintainability=4, Security=3,8, Portability=3,7. Kriteria yang paling baik adalah Functional Suitability=5 dan yang kurang adalah Portability=3,7. Secara umum SIAKAD UTDI diterima baik oleh mahasiswa dan kekurangan yang ada karena kriteria terhadap fungsi-fungsi yang tidak digunakan secara langsung oleh mahasiswa.
AI-Based Pharyngitis Detection Expert System Using the Certainty Factor Method Emy Susanti; Robby Cokro Buwono; Dison Librado; Faiz Rifki Syuhada
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 3 (2026): Article Research July 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i3.16463

Abstract

Pharyngitis, an inflammation of the pharynx commonly known as a sore throat, is one of the most frequent complaints in Indonesian primary health care, yet the uneven distribution of physicians, especially in remote regions, often delays timely triage. This study develops an Android-based expert system that provides an early-screening indication of two types of pharyngitis, acute and chronic, using the Certainty Factor (CF) method. Rather than treating the disease application itself as the main contribution, the novelty lies in the validation framework: a dual-source certainty model that keeps expert-elicited rule weights separate from user-reported symptom confidence, and a class-level accuracy evaluation, including a confusion matrix, sensitivity, specificity, precision, recall, and F1-score, that is rarely reported alongside comparable Certainty Factor systems. Knowledge was acquired from a general practitioner and clinical references and encoded as thirteen symptoms, two disease classes, and a rule base of IF-THEN rules with expert certainty weights. User certainty is captured through six linguistic terms and combined with the expert CF values using the single-evidence formula CF[H,E] = CFuser x CFexpert and the parallel combination formula. The application was built with Android Studio and a local SQLite knowledge base so that it operates entirely offline. A worked example involving five symptoms of acute pharyngitis produced a combined certainty of 0.9890, or 98.90%, illustrating a high-confidence screening output. The system's screening conclusions were compared with a general practitioner's diagnosis on 30 patient cases, agreeing in 28 cases for an overall agreement accuracy of 93.33% (class-level sensitivity of 94.12% for acute and 92.31% for chronic pharyngitis); because this figure reflects agreement with a single practitioner rather than a laboratory-confirmed reference standard, it is reported as an agreement accuracy rather than a universal clinical accuracy. Black-box testing confirmed that all functional features operated as intended. The results indicate that the Certainty Factor method can quantify screening uncertainty effectively and that the resulting offline mobile application can serve as an accessible early-screening aid for the public and a decision-support tool for paramedics, complementing rather than replacing a professional medical examination.
Co-Authors Dison Librado Faiz Rifki Syuhada Robby Cokro Buwono Thomas Edyson Tarigan