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Abstrak :
Madu adalah cairan yang manis, kental, berwarna coklat kekuningan yang dibuat oleh lebah dan serangga dari nektar yang dikumpulkan dari bunga, yang sering digunakan untuk suplemen makanan atau obat alami. Setiap bunga nektar menghasilkan berbagai jenis madu dimana masing-masing madu memiliki manfaat tersendiri bagi kesehatan manusia. Dalam penelitian ini, sistem deteksi botanical origin madu diusulkan berdasarkan profil transmitansi spektral menggunakan sistem pencitraan hiperspektral. Sistem pengambilan citra terdiri dari modul transmitansi, lampu halogen, slider dan sistem pencitraan hiperspektral. Gambar direkam dalam 224 kanal dengan rentang panjang gelombang 400 nm hingga 1000 nm. Metode pemrosesan gambar terdiri atas koreksi gambar, segmentasi gambar, ekstraksi fitur, reduksi fitur, dan model klasifikasi. Jaringan Pengenalan Pola dengan lapisan tersembunyi tunggal digunakan sebagai model klasifikasi. Backpropagation regularisasi Bayesian dilakukan untuk melatih model. Lima-jenis botanical origin madu dari tiga produsen yang berbeda dikumpulkan untuk mengevaluasi sistem yang diusulkan. Tiga sampel disiapkan dan diukur untuk setiap botani dari masing-masing produsen untuk membuat dataset madu. Confusion matrix digunakan untuk mengukur kinerja klasifikasi. Berdasarkan hasil eksperimen, akurasi klasifikasi botanical origin adalah 93,3% dan klasifikasi berdasarkan merek adalah 99,3%. Hasil yang ditunjukkan sangat baik untuk sistem klasifikasi. ...... Honey is a sweet, sticky, yellowish-brown fluid made by bees and other insects from nectar collected from flowers, which often been used for food supplement or natural drug. Each nectar flower produces different kind of honey which each honey has its own benefits for human health. In this study, a detection system of honey botanical origin was proposed based spectral transmittance profile using hyperspectral imaging and machine learning. An image acquiring system consist of the transmittance module, halogen lamp, object slider and hyperspectral imaging system. The image was recorded in 224 band with wavelength range from 400 nm to 1000 nm. An image processing method performs image correction, segmentation, feature extraction, feature reduction and classification model. A Pattern Recognition Network with hidden layer was used a classification model. A Bayesian regularization backpropagation was conducted to train the model. Five-type of the honey botanical origin from three different producers was collected to evaluate the proposed system. Three samples were prepared and measured for each botanical from each producer to create the honey dataset. A confusion matrix was used to measure the classification performance. Based on the experiment result, the accuracy of botanical origin classification is 93.3% and 99.3% for classification based on brand of honey. The result shows an excellent performance for the classification system.

Abstrak :
Corona Virus 2019 (COVID-19) ialah penyakit menular yang berkembang sejak bulan Desember 2019 di Wuhan, ibu kota Provinsi Hubei China, sejak itu virus ini menyebar keseluruh dunia dan menjadi global pandemi. Di Indonesia, pada Juli 2021, dikeluarkanlah surat edaran tentang Pelaksanaan Distribusi Obat dengan Persetujuan Darurat untuk penanganan terapi COVID-19 yaitu; Remdesivir, Favipiravir, Oseltamivir, Immunoglobulin, Ivermectin, Tocilizumab, Azithromycin dan Dexamethasone. Pasien yang ingin membeli obat yang mengindikasikan COVID-19 diwajibkan membawa resep dokter. Analisis resep dilakukan sesuai dengan Surat Edaran (SE), meninjau aspek administratif, aspek farmasetik dan aspek klinis. Hasil penelitian ini dapat disimpulkan bahwa terdapat 11 resep pengobatan COVID-19 pada bulan Juli 2021. Terjadi ketidaklengkapan kajian resep baik secara administrasi, farmasetik, serta aspek klinis. Namun seluruh resep telah memiliki ketepatan indikasi dan dosis. ......Corona Virus 2019 (COVID-19) is an infectious disease that developed in December 2019 in Wuhan, the capital of China's Hubei Province, since then this virus has spread throughout the world and has become a global pandemic. In Indonesia, in July 2021, a circular letter regarding the Implementation of Drug Distribution with Emergency Approval was issued for the handling of COVID-19 therapy, namely; Remdesivir, Favipiravir, Oseltamivir, Immunoglobulin, Ivermectin, Tocilizumab, Azithromycin, and Dexamethasone. Patients who want to buy drugs that indicate COVID-19 are required to bring a doctor's prescription. Prescription analysis was carried out by the Circular Letter, reviewing administrative aspects, pharmaceutical aspects, and clinical aspects. The results of this study can be concluded that there were 11 prescriptions for COVID-19 treatment in July 2021. There were incomplete prescription studies both administratively, pharmaceutically, and clinically. However, all prescriptions have accurate indications and dosages.

Vitacimin is a lozenge product containing vitamin C, produced by PT Takeda Indonesia. The high demand for Vitamin C products has continued to surge dramatically since the global entry of the COVID-19 pandemic in Indonesia in early 2020. With the increasing market demand for Vitacimin, it is also necessary to analyze and optimize the duties and work of employees (packers) in packaging Vitacimin products. This observation is focused on line 3 secondary packaging using machine vision tools that have optical functions, namely object inspection and inspection and pattern recognition. The machine vision tool used is Camera Vision Baumer, which is currently running on a trial period by placing employees who serve as selectors and back up the Camera Vision function. In this study, it can be concluded that the Camera Vision Baumer tool works well and the selector in charge of performing the back up function of the Camera Vision Baumer task can be switched.