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All Journal Jurnal Sains dan Teknologi JIFP (Jurnal Ilmu Fisika dan Pembelajarannya) InSTEM Journal of Electronics and Instrumentation
Wenny Maulina
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Mathematics Physics Other

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Journal : Journal of Electronics and Instrumentation

 1 
Klasifikasi Tangisan Bayi Menggunakan Parameter Pitch Dengan K-Nearest Neighbors Ainayya Halifah; Agung Tjahjo Nugroho; Wenny Maulina
Journal of Electronics and Instrumentation Vol. 1 No. 2 (2024)
Publisher : Fakultas MIPA, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jei.v1i2.880

Abstract

Baby crying is a basic and important thing for mothers or caregivers to understand. In general, young mothers who do not receive guidance from experienced people, usually interpret baby crying as a sign of hunger only, even though crying in babies has different meanings or types of crying depending on the trigger/cause of crying. This study was conducted to establish the characteristics of the cause of infant crying through pitch parameters formed in the Bag of Features and determine the accuracy of the resulting classification. The feature extraction and classification methods used in this research are pitch, Bag of Features and K-Nearest Neighbor. Pitch feature extraction is done by changing the range parameters and methods in estimating the fundamental frequency. The range and method used in this research are (70,170) and PEF. The baby cries used for this study were taken in two ways, namely downloading Dunstan Baby Language and field measurements based on the perception of mothers and medical personnel. The types of infant cries used in this study were burpme, hungry, lower wind pain, tired, uncomfortable and pain. The results of this study show that the sequence of DBL baby cry labels that have a high average fundamental frequency probability value based on the Bag of Features histogram are tired (0.290), lower wind pain (0.207), hungry (0.206), burpme (0.182) and uncomfortable (0.090) while the sequence of baby cry labels from measurement data shows that the sick label has a higher average fundamental frequency, which is 0.200 when compared to the hungry label whose average fundamental frequency is 0.064. The classification accuracy results obtained between the DBL database test and the measurement database using K-Nearest Neighbor look optimal, which is 92% and 98%.
Kajian Sifat Fisik Putih dan Kuning Telur Bebek Selama Penyimpanan Pada Temperatur Berbeda Fanta, Ryo; Wenny Maulina; Tjahjo Nugroho, Agung; Arkundato, Artoto; Ayu Berlianti, Nindha
Journal of Electronics and Instrumentation Vol. 1 No. 1 (2023)
Publisher : Fakultas MIPA, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jei.v1i1.700

Abstract

Telur bebek merupakan salah satu jenis telur yang banyak dikonsumsi di Indonesia, setelah telur ayam. Karakteristik telur termasuk telur bebek akan mengalami perubahan selama proses penyimpanan. Telur bebek memiliki sifat fisik yang mudah rusak. Cangkang telur bebek memiliki jumlah pori-pori lebih banyak dibandingkan telur ayam sehingga berpeluang lebih besar terkontaminasi bakteri. Tujuan dari penelitian ini yaitu mengkaji sifat fisik telur bebek selama penyimpanan pada temperatur ruang dan rendah. Karakteristik dari sifat fisik telur bebek yang diukur meliputi weight loss, kerapatan, pH albumen, pH kuning telur, Haugh Unit, dan indeks kuning telur. Hasil penelitian menunjukkan bahwa lama penyimpanan pada temperatur berbeda memiliki dampak pada perubahan sifat fisik telur bebek. Telur bebek yang disimpan pada temperatur ruang mengalami peningkatan weight loss, pH albumen dan pH kuning telur. Sedangkan kerapatan, Haugh Unit, dan indeks kuning telur mengalami penurunan pada temperatur ruang. Sebaliknya telur bebek yang disimpan pada lemari es (8 ℃) menghasilkan weight loss dan pH albumen yang menurun, sedangkan kerapatan, pH kuning telur, Haugh Unit, dan indeks kuning telur mengalami peningkatan.
Co-Authors Agung Tjahjo Nugroho Ainayya Halifah Arry Y. Nurhayati Arry Yuariatun Nurhayati Artoto Arkundato Ayu Berlianti, Nindha Endhah Purwandari Fajri Prasetya Fanta, Ryo Firda Fadri Meirita Dwi Afriani Misto Nindha Ayu Berlianti Syarifah, Ratna Dewi Tjahjo Nugroho, Agung Yuda Cahyoargo Hariadi