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All Journal TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Journal of Educational Research, Evaluation and Supervision
Dewi Lestari
Universitas Lampung
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mathematics Other

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Klasifikasi Image Tumbuhan Obat Sirih Hijau dan Sirih Merah Menggunakan Metode Decision Tree Rizky Prabowo; Dewi Lestari
TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Vol 13 No 1 (2023): January
Publisher : Universitas Pesantren Tinggi Darul 'Ulum (Unipdu) Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/teknologi.v13i1.3352

Abstract

Tumbuhan obat atau lebih disingkat dengan sebutan TOGA merupakan tanaman hasil budidaya rumahan maupun tanaman yang tumbuh secara liar pada pekarangan rumah yang berguna sebagai pengganti obat-obatan kimia. Daun sirih merupakan salah satu jenis tumbuhan obat yang memiliki banyak jenis. Dengan perkembangan teknologi yang semakin pesat, tentunya dapat digunakan untuk mengklasifikasikan daun tumbuhan obat sirih hijau dan sirih merah. Data yang digunakan yaitu 1000 data image sirih hijau dan 1000 data image sirih merah dengan total keseluruhan data sebanyak 2000 data image. Model klasifikasi Decision Tree dilakukan dengan menggunakan 6 parameter feature ekstraksi tekstur Gray Level Co-Occurance Matric (GLCM) yaitu dissimiliarity, correlation, homogeneity, contrast, ASM, dan energy. Perbandingan persentasi data latih dan data uji yang digunakan ialah 60%:40%, 65%:35%, 70%:30%, 75%:25%, dan 80%:20%. Confusion matriks digunakan untuk mengukur hasil pengujian klasifikasi. Hasil pengujian dengan metode Decision Tree diperoleh nilai rata-rata akurasi sebesar 98%, presisi 98,3%. recall 97,1% dan f1-score 97,5%. Adapun hasil dari pengujian dengan metode Naïve Bayes didapatkan hasil rata-rata accuracy sebesar 92,1%, precission 87,5%. recall 97,8% dan F1 Score 92,3%. Dari hasil perbandingan tersebut dapat disimpulkan bahwa metode Decision Tree lebih unggul dibandingkan dengan metode Naïve Bayes.
Meta Evaluation: On The Evaluation of Academic Services and Facilities at FKIP Baturaja University Dewi Lestari; Novarita Novarita; Undang Rosidin
Journal of Educational Research, Evaluation and Supervision Vol. 1 No. 1 (2024): Journal of Educational Research, Evaluation and Supervision
Publisher : Foundation of Jannatun Naim Lampung

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Abstract

The success of universities in achieving their vision and mission is determined by student satisfaction with the services provided by universities. This study aims to reveal the quality of college services to students. Through a qualitative approach, this researcher uses data sources in the form of questionnaires that are surveyed to students and then processed descriptively, which are converted in the form of a rating scale. The target of the student satisfaction survey on university services is active students at Baturaja University, involving 797 people from the total number of students (the student body). The data collected were in the form of questionnaires distributed to five faculties and one postgraduate program. The method used in this research is the survey method. A survey is one type of research used to examine the symptoms of a group or individual behavior. In surveys, data collection generally uses a questionnaire as a data collection tool with the aim of knowing who, what the respondent thinks, feels, or the tendency of an action. The results of this study indicate that the level of student satisfaction with Baturaja University services in each faculty, in general, for 4 service categories is in the moderately satisfactory category.
Co-Authors Novarita Novarita Prabowo, Rizky Undang Rosidin