Nonsteroid Antiinflamation Drugs (NSAIDs) are available in drug store and be bought as a pain relief. Basic Health Research (Riskesdas) 2013 study the medicines stored in household. Basic Health Research (Riskesdas) 2013 was held in 33 provinces and 497 districts in Indonesia. The research encompasses 300.000 households in 12.000 blocks cencus. The participants were designated households and its member of the family. The study were interviewing the participants to obtain data of all drugs that are stored and used, including traditional medicines. The data including the brand, indication, the provenance (prescribed or unprescribed by doctor), the storage period and also observe drug condition. This study was further analysis of subset data in block IV of Riskesdas 2013 in households. The data were classified by its mechanism and its structure. The result showed that East Java was the highest user of AINS drugs was (15%). Non selectif COX-2 drug and partial selectif COX-2 was 38,3% bought from drug store and 14,4% from drug store. For rheumatism treatment was all used for more than a month. Widely use of NSAIDs as a pain relief indicated the necessity of a proper medicine use information to avoid side effect of NSAID drug.

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The development of technology in security systems combined with facial recognition, of course, makes every protected data safe. Many methods can be combined with a security system, one of which is the eigenface method, which is part of facial recognition. In this study, a personal data security system was built using Android-based deep learning. Based on the results of tests carried out on three devices with different Android versions, it is known, if on Android 8.1 (Oreo) the maximum distance is ± 40 cm, on Android 9.0 (Pie) the maximum distance is ± 50 cm, and on the Android version, 10.0 (Q) the maximum distance for facial object recognition is ± 60 cm. From the test results, it is known that by using the eigenface method, the farther the face is from the camera, the face cannot be detected. The implementation of this system is expected to protect personal data safely.Keywords:Face recognition, Deep Learning, Android, Eigenface.

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Formalin merupakan bahan tambahan pangan yang dilarang berdasarkan Peraturan Menteri Kesehatan Republik Indonesia Nomor 722/MenKes/Per/IX/1988, sehingga kandungannya dalam produk makanan harus negatif.Jika kadar formalin yang terkandung dalam bahan pangan tersebut melewati nilai ambang batas aman, maka akan dapat berakibat toksisl. Tujuan dari penelitian ini adalah untuk mengetahui kandungan formalin dalam bahan pangan (mie basah, bandeng segar dan presto, ikan asin, tahu) yang dijual di Pasar Gede Kota Surakarta. Penentuan kandungan formalin menggunakan Uji kualitatif (Uji Teskit). Penetapan kadar formalin menggunakan metode Uji Kualitatif (Uji Asisi-Alkalimetri). Hasil penelitian ini menunjukkan bahwa 2 sampel mie basah, 1 sampel ikan bandeng segar dan presto, 5 ikan asin, dan 4 tahu positif formalin dengan kadar tertinggi tertinggi sebesar 0,0278ppm pada ikan asin. Sehingga dapat disimpulkan bahwa bahan pangan yang diperdagangkan di Wilayah kota Surakarta belum semuanya mematuhi Peraturan Menteri Kesehatan Republik Indonesia Nomor 722/MenKes/Per/IX/1988 kandungan formalin dalam makanan harus 0 atau negatif. Sehingga perlu dilakukan penelitian bahan tambahan makanan lain (misal boraks dan pewarna) yang digunakan dalam bahan pangan lain yang dipasarkan di Surakarta serta masyarakat perlu segera diberikan informasi tentang keamanan makanan yang dikonsumsi