Garuda - Garba Rujukan Digital

Pengenalan dan Pelatihan Pemasaran Secara Digital Studi Kasus Kopi Bancah Rizki, Syafrika Deni; Afdhal, Muhammad
Jurnal PKM: Pengabdian Kepada Masyarakat Vol 7, No 2 (2024): Jurnal PkM: Pengabdian kepada Masyarakat
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jurnalpkm.v7i2.22044

Kelompok Tani Kopi Bancah di Kecamatan Pauh Kota Padang didirikan pada tahun 2017 dengan tujuan untuk meningkatkan penjualan kopi bancah di Kecamatan Pauh dan mengangkat perekonomian kelompok tani dan masyarakat di lingkungan Pertanian. Kegiatan pada Kelompok tani Kopi Bancah ini berupa hasil pengolahan perkebunan berupa biji kopi menjadi kopi bubuk yang sudah bisa di pasarkan. Berdasarkan itu kami memiliki keinginan untuk mengadakan pelatihan yang diikuti oleh lebih kurang 30 peserta dengan tema Pengenalan dan Pelatihan Pemasaran Secara Digital Studi Kasus Kopi Bancah. Tujuan dari pengenalan dan pelatihan ini untuk memberi pengetahuan tentang pemasaran digital untuk meningkatkan penjualan produk Kelompok Tani Kopi Bancah. Kegiatan ini menggunakan aplikasi e-commerce untuk Pelatihan pemasaran digital mengoptimalkan aset dan potensi yang ada. Manfaat atau target dari kegiatan ini peserta pelatihan dapat membuat dan mengoperasikan akun e-commerce. Sehingga, diharapkan dapat meningkatkan perekonomian bagi Kelompok Kopi Bancah di Kelurahan limau manis selatan. Kelompok tani kopi bancah juga merasa puas dan lebih termotivasi untuk meningkatkan produksi supaya produksi kopi dan perekonomian dari kelompok tani menjadi meningkat.

Sistem Informasi Geografis Pemetaan Kandang Perternakan Di Kabupaten Padang Pariaman Berbasis Android Rizki, Syafrika Deni; Van FC, Lucky Lhaura; Lisnawita, Lisnawita
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 7 No. 2 (2016): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Abstrak- Perancangan aplikasi sistem informasi geografis untuk pemetaan dan pencarian Kandang Peternakan Di Kabupaten Padang Pariaman berbasis android bertujuan untuk memberikan informasi lokasi Kandang Peternakan kepada masyarakat yang ada di Kabupaten Padang Pariaman maupun masyarakat luar Kabupaten Padang Pariaman tersebut, serta memberikan informasi-informasi mengenai detail Kandang Peternakan. Sehingga diharapkan dapat di akses kapanpun dan dimana pun.Pembuatan Sistem Informasi Geografis berbasis android ini dibuat menggunakan MapInfo Professional 9.0 sebagai dasar pembuatan peta aplikasi, Eclipse sebagai dasar Aplikasi di android , dan Giscloud sebagai server penyimpanan peta secara online.Aplikasi ini diharapkan dapat dipergunakan untuk mendapatkan informasi Kandang Peternakan Di Kabupaten Padang Pariaman yang disajikan dalam bentuk sebuah aplikasi peta Dan Informasi tentang Kandang Peternakan. Aplikasi ini dapat digunakan secara online maupun offline. Kata kunci : Sistem informasi geografis , MapInfo , Eclipse, Giscloud, Android Abstract- The design of the application of geographic information system for mapping and Cages Animal Husbandry android-based In the district of Padang Pariaman to provide location information Cage Ranch to the people in the district of Padang Pariaman and communities outside Padang Pariaman district, as well as provide information about the details of the Cage Ranch. android based Geographic Information System was created using MapInfo Professional 9.0 as the basis for the map application, Eclipse as the basis of applications in the android, and Giscloud as maps online. The storage server aplication is expected to be used for get information Cage Ranch in Padang Pariaman district were presented in the form of a map application and information about the Cage Ranch. This application can be used online or offline. Keywords: geographic information system, MapInfo , Eclipse, Giscloud, Android

Development of image extraction using the centerline method in the identification of appendicitis in ultrasonography Rizki, Syafrika Deni; Yuhandri, Yuhandri; Fitri, Iskandar
Indonesian Journal of Electrical Engineering and Computer Science Vol 36, No 3: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v36.i3.pp1750-1758

Appendicitis is a disease that refers to inflammation of the appendix caused by obstruction, or blockage, in the lumen of the appendix. We investigated that this disease can be detected early through medical imaging such as ultrasonography (USG). However, the role of ultrasound in these cases is still limited due to the low visualization rate of the visible appendix. Based on this, this research aims to develop an image extraction process using the Centerline method in the process of identifying appendicitis in ultrasound images. The development of the extraction process is presented in the performance of the centerline and boundary extraction (CBE) algorithm which can represent image objects as boundaries that limit and separate one area from other areas. The research dataset used was 2097 ultrasound images sourced from 90 patients at the West Sumatra Lung Hospital. Based on the tests that have been carried out, it has been proven that it can reduce the width of the image object iteratively until the object is represented as a center line or the thinnest representation. The performance of the CBE algorithm in the identification process is sufficient to provide accuracy results of 92%. These results can be a new extraction concept that can provide accuracy in the identification process.

Pemilihan Deteksi Tepi Terbaik Untuk Menganalisa Citra Ultrasonografi Kehamilan Rizki, Syafrika Deni; Sumijan, S; Putra, Okta Andrica
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.344

In its development, image processing is very helpful for solving problems faced by humans. Imaging processing is an image processing technique of an object to distinguish the background and the object to be analyzed. This research uses a segmentation method that can distinguish between objects and backgrounds. Analyzing objects from ultrasound images requires the expertise of an experienced doctor. In addition, there are artificial factors that make automated analysis complicated. We aim to improve natural imagery. Therefore to overcome the potential difficulties in analysis, we present four Comparison of Edge Detection, namely Gradient Image, Roberts Operator, Sobel Operator and Prewitt Operator. In image processing, data accuracy and accuracy are required as well as knowledge of statistics because image processing is related to data processing. The result of this research is to determine which edge detection is more appropriate for analyzing ultrasound images. The conclusion from this research is that from the four operators that were tried, the results of the testing process showed that the Prewit operator succeeded in detecting existing objects, even objects that function as background were successfully detected. The resulting edge detection is smoother compared to other operators.

Pemilihan Deteksi Tepi Terbaik Untuk Menganalisa Citra Ultrasonografi Kehamilan Rizki, Syafrika Deni; Sumijan, S; Putra, Okta Andrica
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.344

In its development, image processing is very helpful for solving problems faced by humans. Imaging processing is an image processing technique of an object to distinguish the background and the object to be analyzed. This research uses a segmentation method that can distinguish between objects and backgrounds. Analyzing objects from ultrasound images requires the expertise of an experienced doctor. In addition, there are artificial factors that make automated analysis complicated. We aim to improve natural imagery. Therefore to overcome the potential difficulties in analysis, we present four Comparison of Edge Detection, namely Gradient Image, Roberts Operator, Sobel Operator and Prewitt Operator. In image processing, data accuracy and accuracy are required as well as knowledge of statistics because image processing is related to data processing. The result of this research is to determine which edge detection is more appropriate for analyzing ultrasound images. The conclusion from this research is that from the four operators that were tried, the results of the testing process showed that the Prewit operator succeeded in detecting existing objects, even objects that function as background were successfully detected. The resulting edge detection is smoother compared to other operators.

Cat Disease Diagnosis Expert System Using Web-Based Forward Chaining Method Ghandira, Faras; Rizki, Syafrika Deni; Safira, Silky
Journal of Computer Scine and Information Technology Volume 10 Issue 3 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i3.106

Currently, technological developments are growing rapidly. It can be seen from that most human activities require technology to meet daily needs. Technology has now fulfilled human needs that can be done by themselves. One of them is an expert system. Cats are one of the animals that are popular among people. Because it is so popular, the number of cat enthusiasts in Indonesia has become very large, and will continue to grow. However, this is not balanced by the knowledge of the keepers and the availability of sufficient veterinarians. This research develops an expert system application to diagnose diseases in cats. This expert system has 7 knowledge bases about diseases in cats and 30 symptoms, using the forward chaining inference method. The expert system was built and designed using the PHP programming language. The expert system provides output in the form of disease diagnosis results in cats based on the symptoms input by the user. The expert system developed is useful for helping the public obtain information about cat diseases and their symptoms easily and quickly

Texture and Flag Color Extraction in Backpropagation Neural Network Architecture Rizki, Syafrika Deni; Defit, Sarjon
Jurnal Penelitian Pendidikan IPA Vol 10 No 5 (2024): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i5.7146

A flag is a rectangular or triangular piece of cloth or paper used as a symbol of the state, association, body, etc. or as a sign. It is often also used to symbolize a country to show its sovereignty. Along with the large number of countries, the country's flag also has many varieties and colors. The use of computers as a human aid is expected to the extent that the computer's ability can replace the limitations that humans have. Humans can recognize an object by using their eyes and brain, but if the eyes and brain cannot work properly it will hamper human work. In this research, training will be conducted on the Back Propagation Neural Network Architecture. Characteristic data for image recognition is obtained by extracting texture features and RGB color features. So that the network can recognize the flags by matching the feature data obtained from the training carried out. Characteristic data obtained from 24 data consisting of 16 training images and 8 testing images. From the results of the image network training can be identified properly, the accuracy rate of object identification is 87.50%. GUI users are able to identify flag images based on RGB text and color features.

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