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All Journal Journal of Industrial Engineering Management JURNAL MEDIA INFORMATIKA BUDIDARMA REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) Jurnal Informatika Teknologi dan Sains (Jinteks) Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Innovative: Journal Of Social Science Research
Wafiah Murniati
STMIK Lombok
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Other

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Journal : Jurnal Informatika Teknologi dan Sains (Jinteks)

 1 
PENERAPAN KNNIMPUTER DALAM MENGOLAH DATA MISSING VALUE UNTUK MEMBANTU MENINGKATKAN AKURASI SUPPORT VECTOR MACHINE KLASIFIKASI PENYAKIT TIROID Supardianto; Lalu Mutawalli; Wafiah Murniati
Jurnal Informatika Teknologi dan Sains Vol 4 No 4 (2022): EDISI 14
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (463.007 KB) | DOI: 10.51401/jinteks.v4i4.2077

Abstract

Thyroid is a condition of abnormalities in a person due to thyroid disorders. Based on data from the ministry of health in the world, the prevalence of thyroid is still relatively high, if five million babies are born each year, then there are one thousand six hundred babies with hyperthyroidism. The algorithm used for data processing and modeled into knowledge is a support vector machine (SVM), SVM is used for classification. After exploring the datasets of the 23 attributes contained in the datasets, there are 9 attributes that have missing values, including age 4 lines, sex 307 lines, TSH 804 lines, T3 2604 lines, TT4 442 lines, T4U 809 lines, FTI 802 lines, TBG 8823 lines, and target 1626 lines. Based on the evaluation results on the model that has been tested for precision 94%, recall 100%, F1-score 97% with an accumulated accuracy of 93%. The overall total evaluation on the model is 93%.
EVALUASI USABILITY SISENSI MOBILE MENGGUNAKAN METODE ISO/IEC 9126 DAN NIELSEN MODEL Ayu Lestari; Wafiah Murniati; Saikin; Hasyim Asyari
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 2 (2024): EDISI 20
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i2.4123

Abstract

The Mobile Attendance and Presence Information System (SISENSI) is an online attendance application that has problems or shortcomings, such as requiring a long time to be absent and lacking a leave permit feature so that users have difficulty applying for leave permission. Therefore, the aim of this research is to test the SISENSI mobile application to determine the quality and shortcomings of the application. The usability evaluation methods that will be used are ISO/IEC 9126 and Nielsen Model. The results of combining ISO/IEC 9126 and the Nielsen Model obtained eight SISENSI Mobile testing factors in the usability field, namely understandability, learnability, operability, attractiveness, memorability, efficiency, errors, and user satisfactions. Respondents in this study were 164 people. The results of this research obtained values for each sub-characteristic namely: understandability 84%, learnability 80%, operability 80%, attractiveness 69%, efficiency 82%, memorability 67%, errors 75% and user satisfactions 65%. Meanwhile, the average value is 75%, so overall SISENSI Mobile is in good condition.
Co-Authors ahmad tarmuzi ojik Ayu Lestari Baiq Dea Zualina Bq Devi Andikasari Firda Widia Hairul Fahmi Hasyim Asyari Lalu Mutawalli Maulana Ashari Mohammad Taufan Asri Zaen Muhammad Fauzi Zulkarnaen Rika Nurhaliza Saikin Sela Handayani Sofiansyah Fadli Suar Ishak Supardianto Wahyu Ismail Kurnia