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All Journal Jurnal Pendidikan Vokasi BAREKENG: Jurnal Ilmu Matematika dan Terapan The Indonesian Journal of Computer Science
Fetrika Anggraini, Fetrika
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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Pengembangan modul pembelajaran kewirausahaan model student company di SMK Negeri 1 Godean Anggraini, Fetrika; Sukardi, Sukardi
Jurnal Pendidikan Vokasi Vol 6, No 1 (2016): Februari
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (303.724 KB) | DOI: 10.21831/jpv.v6i1.8113

Abstract

Penelitian ini bertujuan untuk mengembangkan modul kewirausahaan model student company yang layak digunakan di SMK. Penelitian ini merupakan penelitian dan pengembangan. Hasil penelitian adalah sebagai berikut. (1) Modul pembelajaran kewirausahaan model student company layak digunakan. (2) Menurut siswa, modul yang dikembangkan berkualitas sangat baik, serta jika dilihat dari nilai skewnes distribusi data adalah normal. (3) Penerapan modul dalam proses pembelajaran secara umun dapat terlaksana. (4) Peningkatan pemahaman siswa dengan menggunakan modul yang dikembangkan berkategori sedang dengan rerata Uji-t sebesar 80,03 dan selisih nilai (effect size) 13,97 dengan persentase ketuntasan siswa sebesar 95%. Pembelajaran menggunakan modul juga mampu melatih kemandirian siswa dalam belajar dan mampu menumbuhkan kemampuan dalam bekerjasama. THE DEVELOPMENT OF A STUDENT COMPANY MODEL OF ENTREPRENEURIAL LEARNING MODULE AT SMK NEGERI 1 GODEANAbstractThis study aimed to develop a student company model of entrepreneurial learning module which was appropriate for SMK. This study was research and development. The results of the study were as follows. (1) The student company model of entrepreneurship learning module was appropriate for use. (2) According to the students, the developed module was excellent and the skewness of the data distribution was normal. (3) Generally, the implementation of the module in the learning process was succesful. (4) The increase of the students‟ understanding by using the developed module was in the fair category with an average t-test score of 80,3 and the difference in value (effect size) of 13,97 with students‟ mastery percentage of 95%. The learning using the module was also able to train the students' autonomy in learning and able to improve the ability to cooperate.
Analisis Sentimen Ulasan Google Maps Kuliner di Bojonegoro Menggunakan Metode Naïve Bayes Fauziyah, Dewi Nur; Sanjaya, Ucta Pradema; Anggraini, Fetrika
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3319

Abstract

Sentiment analisis merupakan proses menganalisa yang berhubungan dengan sebuah konten atau produk. Analisa terserbut berdasarkan hal hal yang di rasakan oleh seseorang secara subyektif dalam merasakannya. Pada umumnya sentiment analisis ini di tulis oleh penguna dunia maya yang digunakan untuk informasi berdasarkan ulasan atau postingan. Text mining dan Natural language Processing sebuah bidang yang mempunyai irisan yang sama dalam bidang kecerdasan buatan. Ini sangat membantu seseorang dalam mencari nilai sebuah ulasan yang ditulis oleh seseorang memiliki nilai positif atau negative bahkan bisa di nilai netral. Dalam penelitian ini meneliti ulasan usaha kuliner di bojonegoro berdasaran data yang ada di google maps. Untuk metode klasifikasi mengunakan naïve bayes yang pada dasarnya mengunakan penilaian peluang pada setiap atributnya dan di evaluasi dengan confusion matrix. Hasil yang didapatkan dari penelitian ini mendapatkan nilai akurasi 90,28% recall 90,28% dan presisi 89.89%
ON COMPUTATIONAL BAYESIAN ORDINAL LOGISTIC REGRESSION LINK FUNCTION IN CASES OF CERVICAL CANCER IN TUBAN Mahmudah, Nur; Anggraini, Fetrika
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 3 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (472.064 KB) | DOI: 10.30598/barekengvol16iss3pp909-918

Abstract

Cervical cancer is the most common cancer that causes death in women. This cancer is mainly caused by Human Papilloma Virus (HPV). It is estimated that 52 million of Indonesian women are at risk of having cancer, and 36% of female cancer patients suffer from cervical cancer. This type of cancer cannot be diagnosed immediately as there is several years of pre-malignancy phase; thus, early detection or screening is needed to prevent it from turning into malignant. Pap test as a screening program can detect cancer, precancer, and normal condition. To understand the predicting factors of the test results, a comprehensive mathematical modelling was created using the link function of Bayesian Ordinal Logistic Regression. This study observed several possible factors that may affect Pap test results in Tuban regency, namely Age (X1), Education (X2), Childbirth Experience (X3), Use of Contraceptives (X4), Menstrual Cycle (X5), Age of First Menstruation (X6), History of Miscarriage (X7), Anemia (X8) and Number of Sexual Partners (X9) . The outcomes indicated that the predicting factors of Pap cervical cancer results are Age (X1), Education (X2), Childbirth Experience (X3), Use of Contraceptives (X4), Menstrual Cycle (X5), and Anemia (X8). In this model, there is an inexplainable error dependency as indicated by the varied constance values of alpha.
Co-Authors Fauziyah, Dewi Nur Nur Mahmudah Sanjaya, Ucta Pradema Sukardi Sukardi