Since ancient times until now herbal plants have been used for treatment and have been applied in the world of health to this day. All parts of the plant can be used as medicine, one of which is the leaves. However, there are still many people who are not familiar with the medicinal leaves. This is because the leaves at first glance look almost the same, making it difficult to tell them apart. Actually, if you look closely, the leaves have characteristics that can be distinguished from one leaf to another. The purpose of this study is to classify images of herbal leaf species using the Backpropagation Neural Network (BNN) algorithm with shape feature extraction utilizing metric and eccentricity parameters. BNN is a type of supervised learning algorithm that consists of several layers and uses an error output as a modifier of the weight value backwards. In this study, the extraction of shape features that become input for the BNN algorithm will go through morphological operations to improve the segmentation results so that the classification results are more optimal. The test results show an accuracy of 88.75%, this shows the developed model can classify herbal leaves well

ABSTRAKLPG (Liquefied Petroleum Gas) merupakan salah satu sumber daya alam yang mengalami peningkatan konsumsi setiap tahunnya terutama di sektor rumah tangga. Meningkatnya penggunaan bahan bakar LPG meningkatkan pula resiko terjadinya kebakaran yang disebabkan oleh kebocoran tabung LPG. Tetapi tidak semua produsen tabung LPG memberikan sistem keamanan yang mereka jual, sehingga dibutuhkan alat untuk mendeteksi kebocoran gas LPG. Maka dibuatlah suatu alat pendeteksi kebocoran gas dengan menggunakan sensor MQ-2 yang dapat mendeteksi gas LPG, serta menggunakan sistem SMS Gateway dengan modul SIM 800L v.2 sebagai pengirim notifikasi SMS (Short Message Service)dan menggunakan buzzer sebagai alarm.Secara keseluruhan komponen perancangan tersebut dikontrol oleh arduino tipe uno.Proses pengujian sistem ini medapatkan pemeberitahuan notifikasi via SMS bahwa telah terjadi kebocoran tabung LPG dan aktifnya alarm serta LED (Light Emitting Diode). Pengiriman SMS ini membutuhkan waktu sekitar 4-6 detik ketika sistem ini bekerja.   ABSTRACTLPG (Liquefied Petroleum Gas) is one of the natural resources experiencing the increasing consumption every year especially in the household sector. The increasing use of LPG fuel also increases the risk of fire caused by LPG tube leakage. But not all LPG tube manufacturers provide the security systems they sell, so it is important that a tool provided  to detect LPG gas leaks. So it is necessary to  create a gas leak detector using MQ-2 sensors that can detect LPG gas,the SMS Gateway system with the SIM module 800L v.2 as the sender of SMS notification (Short Message Service),and the buzzer as an alarm. Overall the design component is controlled by arduino type uno. This system testing process gets some notification  via SMS stating that there has been  a leakage of LPG tube and indicated by the active alarm and LED (Light Emitting Diode). It takes about 4-6 seconds  for this SMS delivery system to work.

In the midst of the Covid-19 pandemic, increasing the body's immunity is very important. Some experts suggest consuming medicinal plants or herbs to boost immunity. In addition to being used as a cooking spice, this rhizome type plant turns out to have properties and benefits for health, especially to increase immunity. However, many people do not know and it is difficult to distinguish the type of rhizome plant. This type of rhizome plant can be identified based on the characteristics seen from the shape and texture. However, most people judge the type of rhizome has a shape that is difficult to distinguish. This study aims to determine the type of medicinal plant rhizome with Euclidean distance and extraction of shape and texture. Extraction of shape features using metric and eccentricity parameters. This parameter is considered to be able to recognize shape objects and can distinguish them from other objects. Meanwhile, texture feature extraction uses Gray Level Co-occurence Matrix (GLCM) with contrast, correlation, energy, and homogeneity parameters. For the identification process, Euclidean distance is used which serves to represent the level of two images that consider the distance value from Euclidean. From the results of the evaluation using a confusion matrix by calculating precision, recall and accuracy, it gets a precision value of 83%, recal 87% and an accuracy of 85%. These results indicate that the Euclidean distance and extraction of shape and texture features can identify the object image of medicinal plants with rhizome types well

ABSTRAKData sangatlah berharga bagi semua pengguna komputer, belakangan ini kriptografi menjadi metode yang digunakan dalam mengamankan data. Kriptografi adalah ilmu yang mempelajari teknik-teknik matematika dalam mengamankan suatu informasi atau pesan asli (Plainteks) menjadi sebuah teks tersembunyi (Chiperteks) dan kemudian di ubah menjadi pesan asli kembali. Kriptografi mempunyai tiga unsur penting yaitu pembangkitan kunci, enkripsi dan deskipsi. Dalam kriptografi di kenal algoritma block chiper yang didalamnya terdapat AES (Anvanced Encyption Standard) merupakan bagian dari Modern Symmetric Key Cipher, algoritma ini menggunakan kunci yang sama pada saat proses enkripsi dan deskripsi sehingga data yang kita miliki akan sulit dimengerti maknanya. Teknik algoritma tersebut digunakan untuk mengkonversi data dalam bentuk kode-kode tertentu, untuk tujuan agar informasi yang tersimpan tidak bisa di baca siapa pun kecuali orang-orang yang berhak. Oleh karena itu, sistem keamanan data sangat di perlukan untuk menjaga kerahasian informasi agar tetap terjaga. ABSTRACTData is a valueable  for all computer users, cryptography is the one of  method used to securing data. Cryptography is the study of mathematical techniques in securing an information or original message (Plainteks) into a hidden text (Chiperteks) and then converted into the original message again. Cryptography has three important elements, first is key generation, second is encryption and latetly is description. In cryptography known as cipher block algorithms in which AES (Advanced Encyption Standard) is part of Modern Symmetric Key Cipher, this algorithm uses the same key during the encryption and description process so that the data we have will be difficult to understand. The algorithm technique is used to convert data in the form of certain codes, so that the information stored cannot be read by anyone except those who are entitled. Therefore, the data security system is very necessary to maintain the confidentiality of information.

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