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Perancangan Dan Pembuatan Smart Distribution Pada Gudang Penyimpanan Bumbu Dapur Dengan Menggunakan Delphi 7 Sebagai Pusat Instruksi Dan Pengolahan Data Ega Firsty Ayu Pratiwi; Retno Devita; Okta Andrica Putra
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 4 No 2 (2022): Juli 2022
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v4i2.529

Abstract

Kitchen spices are substances that generally come from flavorful plants that are added to dishes for the purpose of flavoring food. Seasonings serve to give food a better taste. With so many types of spices, storage in the warehouse is needed a place that fits the types of spices. So that the supply is not confused to store kitchen spices and if needed is not confused anymore. The supplier will send spices according to consumer demand. In this way, if the spices are used up, Delphi will automatically instruct the speakers and cameras to monitor the supply to enter the spices. What has been determined by consumer demand is how many spices are needed and a data base to collect data. RFID as taking customer data by using an ID card to enter the kitchen spice storage warehouse. Loadcell as measuring the weight of the weigher.
DESIGN OF PRIVATE CLOUD STORAGE  USING SECURITY METHODS IDS AND IPS Deval Gusrion; Silky Safira; Retno Devita; Ruri Hartika Zain; Rini Sovia
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 4 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1242.307 KB) | DOI: 10.22216/jit.v%vi%i.725

Abstract

Cloud computing is a form of technological progress that has developed along with the times, this has spurred the increasing use of the internet. By usingtechnology internet that is able to implement server a virtual, which has the aim of building a cloud computing server at the District Communications and Information Office. Padang Pariaman uses the Operating System (OS) Proxmox VE (Virtual Environment) 6.4. Cloud computing is able to provide storage services that can be used simultaneously. The results of this study produce a cloud computing server that implements a security system with themethods ids (intrusion detection system) and ips (intrusion prevention system)that are able to process data(storagestorage), use software simultaneously in the network, and use infrastructure within the scope of this research.network cloud computing at the District Communications and Information Office. Padang Pariaman using aservice model private cloud
IMPLEMENTATION OF VPN SERVER USING L2TP PROTOCOL AND IPSEC METHODS AS NETWORK SECURITY Ruri Hartika Zain; Retno Devita; Ipriadi -; Ondra Eka Putra
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 16 No. 4 (2022): Jurnal Ipteks Terapan : research of applied science and education
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (657.104 KB) | DOI: 10.22216/jit.v16i4.2004

Abstract

This study aims to design a VPN network system by utilizing a public network, where this system aims to provide security by using IPSec in providing confidential information through the L2TP tunnel method from the server to the branch/client computer and vice versa. VPN is implemented using layer 2 tunneling protocol (L2TP) using two Mikrotik routers. There are only a few changes in the computer network configuration to minimize costs and implementation time. Tests are carried out to implement security on the network using the command prompt, where the admin observes packet loss and delay parameters to find out the increase in security quality on the network
Teknologi Internet of Things (IoT) dalam Penyemprotan Insektisida Aglonema pada Greenhouse Retno Devita; Ruri Hartika Zain; Ipriadi; Ondra Eka Putra; Sri Rahmawati
Jurnal Teknologi Vol. 11 No. 2 (2021): Jurnal Teknologi
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (695.06 KB) | DOI: 10.35134/jitekin.v11i2.50

Abstract

Aglonema is a plant that is widely cultivated by ornamental plant lovers, because it has various species with varied and beautiful leaf patterns. Aglonema cultivation can be a business opportunity in agriculture because aglonema plants are in great demand but also because the prices offered vary from hundreds of thousands to millions of rupiah. Aglonema plant care is quite easy and simple. However, the wrong aglonema plant care such as irregular watering, excessive fertilizer application, and the wrong plant placement can make plants grow less optimally or even die. Greenhouse is a building that was formed to avoid and treat plants against various kinds of weather. Weather is the state of the atmosphere in a place at a certain time related to air temperature, sunlight, wind, rain and other air conditions. Thus, the types of plants that are not in accordance with the local climate, such as ornamental plants, vegetables and fruit, which have high economic value but are difficult to cultivate in outdoor areas, can be cultivated through climate control in the greenhouse. Various benefits such as controlling air temperature, adjusting humidity levels, to the interval between watering times can be adjusted easily. Internet of things (IoT) is a concept or program where an object has the ability to transmit or transmit data over a network without using the help of computer and human devices. With this IoT, spraying insecticides at the Greehouse for aglonema plants can be done automatically
CANNY EDGE DETECTION AND IMAGE SEGMENTATION FOR PRECISION FACE RECOGNITION SYSTEM Retno Devita; Sumijan Sumijan
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 10, No 2 (2024): Maret 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i2.3059

Abstract

Abstract: Facial recognition is widely used in areas such as video surveillance and database management. Facial images have been used as a preferred biometric feature in many identity recognition systems to obtain good image results in image segmentation. A good image must pay attention to several factors, namely high resolution, good contrast, image sharpness, consistent colors, lack of noise and appropriate lighting conditions. In this face recognition research, using canny edge detection method for 10 original images paired with 10 other images. The original faces taken are male and female. Canny edge detection has a low error rate in image segmentation compared to other edge detections. The purpose of this study is to determine the edge of the image in I-rat and can display the results of a good segmentation of facial images. The results of the test data with data stored in the database in the study is 1 face image produces 67.69% accuracy and 26.92% and 8 other face images produce 100% accuracy. The average success rate of 10 experiments using image segmentation is 89.461%. In conclusion, the canny edge detection method can provide accurate results in the face recognition process.            Keywords: accuracy; canny edge detection; face recognition; image; segmentation  Abstrak : Pengenalan wajah banyak digunakan dalam diberbagai bidang seperti pengawasan video dan manajemen basis data. Gambar wajah telah digunakan sebagai ciri biometrik yang disukai di banyak sistem pengenalan identitas untuk mendapatkan hasil citra yang bagus dalam segmentasi citra. Citra yang baik harus memperhatikan beberapa faktor yaitu resolusi tinggi, kontras yang baik, ketajaman citra, warna yang konsisten, kurangnya noise dan kondisi pencahayaan yang sesuai. Pada penelitian pengenalan wajah ini, menggunakan metode deteksi tepi canny untuk 10 citra asli yang dipasangkan dengan 10 citra lainnya. Wajah asli yang diambil berjenis kelamin laki-laki dan perempuan. Deteksi tepi canny memiliki tingkat kesalahan rendah dalam segmentasi citra dibandingkan dengan deteksi tepi lainnya. Tujuan dari penelitian ini adalah menentukan tepi gambar secara akurat dan dapat menampilkan hasil segmentasi citra wajah yang baik. Hasil dari data uji dengan data yang tersimpan di database dalam penelitian adalah 1 citra wajah menghasilkan akurasi 67,69% dan 26,92% dan 8 citra wajah lainnya menghasilkan akurasi 100%. Rata-rata tingkat keberhasilan dari 10 kali percobaan dengan menggunakan segmentasi citra adalah 89,461%. Kesimpulan, metode deteksi tepi canny dapat memberikan hasil yang akurat dalam proses pengenalan wajah. Kata Kunci : akurasi; deteksi tepi canny; citra; pengenalan wajah; segmentasi