Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

4.79

P-Index

This Author published in this journals

All Journal Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Teknologi Dan Sistem Informasi Bisnis Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian kepada Masyarakat Nusantara Majalah Ilmiah UPI YPTK Journal of Computer Scine and Information Technology Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Jurnal Ekonomika Dan Bisnis Jurnal Komtekinfo Sistem Pendukung Keputusan dengan Aplikasi Jurnal Pengabdian Masyarakat Dharma Andalas SATIN - Sains dan Teknologi Informasi The Indonesian Journal of Computer Science

Febri Hadi

Universitas Putra Indonesia YPTK Padang

Author-ID : 3785813

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Public Health Social Sciences Other

Published : 27 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3

Image Edge Detection Capture Zoom for Facial Recognition Using Gradient Operators Febri Hadi; Sumijan
Jurnal KomtekInfo Vol. 9 No. 3 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v9i3.303

Imagery on edge detection is a process that will display the edges of an image. Basically, edge detection is one of the techniques for the analysis of image quality in the spatial domain and is also one of the initial process in digital image processing. Edge detection serves to detect the border line of an object contained in the image. This study aims to identify and recognize face pattern objects in the capture zoom image. To perform face identification begins with collecting image data, image processing, image edge detection, thinning of the image, and identification process using the template matching method. The method used in edge detection uses 3 methods, namely Sobel, Roberts and Prewitt which are gradient operators to detect edges in facial images. The dataset used is image capture zoom. The trial was carried out in two stages, namely the identification of the face shape and the identification of the edges of the face. The conclusion of the study is that the Roberts operator is the operator that finds the least edge patterns in facial images than the other two operators, namely Prewitt and Sobel. Meanwhile, the Sobel operator produces edge patterns that are better in quality and quantity than using the Roberts and Prewitt operators.

Strategi Pembelajaran Anak-Anak Memanfaatkan Teknologi Informasi dan Komputer (TIK) di Masa Pandemi Covid-19 Febri Hadi; Yusvi Diana; Halifia Hendri
Jurnal Pengabdian Masyarakat Dharma Andalas Vol 1 No 1 (2022): Jurnal Pengabdian Masyarakat Dharma Andalas
Publisher : LPPM Universitas Dharma Andalas

Strategi pembelajaran adalah cara-cara yang akan dipilih dan digunakan oleh seorang pengajar untuk menyampaikan materi pembelajaran. Tujuan strategi pembelajaran adalah untuk memudahkan anak menerima dan memahami materi pembelajaran, yang pada akhirnya anak-anak dapat menguasai materi pembelajaran. Tujuan kegiatan Pengabdian kepada Masyarakat (PkM) ini adalah untuk menelaah penggunaan teknologi informasi dan komputer (TIK) pada anak-anak pada masa Covid-19. Kegiatan ini melibatkan anak-anak panti asuh rumah yatim Nagari Maimbau Pauh V Padang. Kegiatan pengabdian masyarakat ini memberikan edukasi kepada anak-anak yang ada di panti dalam penggunaan teknologi informasi dan komputer yang tepat dan bermanfaat bagi penunjang pembelajaran. Hasil dari kegiatan pengabdian masyarakat diperoleh hampir 85% anak-anak sudah dapat menggunakan teknologi informasi secara tepat dan bijaksana.

Peningkatan Strategi Pemasaran Jamur di Kampung Jamur Limau Manis Syafrika Deni Rizki; Febri Hadi; Muhammad Afdhal
Jurnal Pengabdian Masyarakat Dharma Andalas Vol 1 No 1 (2022): Jurnal Pengabdian Masyarakat Dharma Andalas
Publisher : LPPM Universitas Dharma Andalas

This study aims to determine the marketing channels of mushrooms, to know the internal and external factors of the mushroom marketing business, to know the marketing strategies of mushrooms. From the results of the SWOT analysis, it is known that the internal factors (strengths and weaknesses) and external factors (opportunities and threats) of the mushroom business in sweet limes. Its strengths are: Good mushroom quality, Affordable amount of capital, Competitive pricing, Retaining customers. Weaknesses are: There is still a lack of promotional activities, Lack of a marketing system, The production process still uses simple technology. The opportunities are: The market share of oyster mushrooms is still wide, Mushrooms can be processed into derivative products, Government intervention. The threats are: There is competition between mushroom cultivators, the effect of changing seasons/weather, the marketing strategy that can be done by mushroom farmers is aggressive growth (growth oriented strategy), namely by expanding the share, and through increasing added value by processing products from these mushrooms.

Sistem Pakar Diagnosa Penyakit Gigi dengan Metode Bayes Febri Hadi; Yusvi Diana
SATIN - Sains dan Teknologi Informasi Vol 5 No 2 (2019): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Gigi merupakan salah satu organ terpenting sebagai alat pencernaan bagi tubuh manusia. Pada umumnya orang pernah mengalami sakit pada gigi tetapi banyak orang yang menyepelekan penyakit tersebut. Tujuan dari penelitian ini bertujuan memberikan pengetahuan tentang diagnosa penyakit gigi dengan menggunakan metode bayes. Dengan menggunakan metode Bayes dapat mendeteksi penyakit gigi yang diderita.

ANALISA PENJUALAN MENGGUNAKAN ALGORITMA K-MEDOIDS UNTUK MENGOPTIMALKAN PENJUALAN BARANG Yusvi Diana; Febri Hadi
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 7 No 1 (2023)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v7i1.2905

Kesulitan pihak manajemen dalam mengambil kebijakan untuk menyuplai barang membuat persediaan barang menumpuk. Terjadinya penumpukkan barang membuat harga barang tersebut mengalami penurunan harga. Oleh karena itu diperlukan teknik dalam melakukan analisa penjualan barang yang berguna untuk mengatasi permasalahan yang ada. Penelitian ini bertujuan untuk melakukan analisis dalam penjualan barang. Teknik analisis menggunakan algoritma K-Medoids yang dapat membantu menganalisis penjualan barang. Algoritma K-Medoids akan mengelompokkan data penjualan. Pengelompokan data dibagi menjadi dua yaitu barang yang laris dan tidak laris terjual dari analisis variabel yang dilakukan. Data yang digunakan dalam penelitian ini meliputi 30 sampel data penjualan barang. Hasil penelitian ini memberikan informasi tentang barang yang laris dan barang yang tidak laris sehingga permasalahan dalam mensuplai persediaan barang dapat diatasi

Determining Marketing Strategy to Support Customer Relationship Management with the Apriori Algorithm Dheatri Agrema; Febri Hadi; Pradani Ayu Widya Purnama
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.70

Business competition has forced companies to be more selective in implementing their marketing strategies. This increasingly rapid technological development is an aspect that can be utilized in achieving ease of doing everything. The development of this technology can have a good impact on business people, Customer Relationship Management (CRM) is one of the business strategies to meet the goals of the store. To fulfill these objectives, the authors conducted an analysis of sales transaction data using assistive devices such as data mining. Data mining is part of analytical Customer Relationship Management (CRM) which is used to find patterns in data. By applying the Apriori Algorithm or Association Rule to achieve this business strategy. The Apriori algorithm is a method for finding relationship patterns between one or more items in a dataset. By using sales transaction data at the Rahmat Elektronik Store, it is possible to find out which products are in great demand by customers every time they shop at the Rahmat Elektronik Store. The results of applying the Apriori Algorithm or Association Rule use Minimum Support 5% and Minimum Confidance 50%

Standardscaler's Potential in Enhancing Breast Cancer Accuracy Using Machine Learning Febri Aldi; Febri Hadi; Nadya Alinda Rahmi; Sarjon Defit
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.3080

The major consequence of breast cancer is death. It has been proven in many studies that machine learning techniques are more efficient in diagnosing breast cancer. These algorithms have also been used to estimate a person's likelihood of surviving breast cancer. In this study, we employed machine learning algorithms to predict breast cancer. A total of 569 breast cancer datasets were obtained from kaggle sites. Some of the machine learning algorithms that we use are K-Nearest Neighbor (KNN), besides Random Forest (RF), there is also Gradient Boosting (GB), then Gaussian Naive Bayes (GNB), Vector Support Machine (SVM), and then Logistic Regression (LR). Before algorithms were used to train and test breast cancer datasets, StandardScaler was leveraged to transform training datasets and test datasets for improved algorithm performance. As a result of this utilization, the performance measurement carried out succeeded in producing high accuracy. The highest results were obtained from the Logistic Regression algorithm with an accuracy value of 99%. The value of precison is 99% benign, and 100% malignant. The recall results are 100% benign, and 98% malignant. The F1-Score results show 99% benign, and 99% malignant. It is hoped that this research can help the medical party to determine the next step in dealing with breast cancer.

Determination of children's nutritional status with machine learning classification analysis approach Musli Yanto; Febri Hadi; Syafri Arlis
Indonesian Journal of Electrical Engineering and Computer Science Vol 33, No 1: January 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v33.i1.pp303-313

Malnutrition is a problem that is often faced by every country around the world. Various facts show that malnutrition is of particular concern to many researchers. To can overcome this problem, every effort has been made such as developing analytical models in identification, classification, and prediction. This study aims to determine the nutritional status of children using the machine learning (ML) classification analysis approach. The methods used in the ML analysis process consist of cluster K-Means, artificial neural network (ANN), sum square error (SSE), pearson correlation (PC), and decision tree (DT). The dataset for this study uses data on child nutrition cases that occurred in the previous and was sourced from the provincial general hospital (RSUP) M. Djamil, Padang, West Sumatera. Based on the research presented, ML performance in the nutritional status classification analysis gave maximum results. These results are reported based on the level of precision with an accuracy of 99.23%. The results of the analysis can also present a knowledge-based nutritional status classification. This research can contribute to and update the analytical model in determining nutritional status. The results of this study can also provide benefits in handling nutritional status problems that occur in children.

Sosialisasi Teknologi Informasi dalam Peningkatkan Kinerja Manajemen SDM di Koperasi Jasa Keuangan Syariah di Kelurahan Limau Manis Selatan Kecamatan Pauh Kota Padang Meswantri, Meswantri; Diana, Yusvi; Hadi, Febri
Jurnal Pengabdian Masyarakat Dharma Andalas Vol 2 No 2 (2024): Jurnal Pengabdian Masyarakat Dharma Andalas
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jpmda.v2i2.1306

. This Community Service Activity is proposed as a form of implementing science to the community to handle various problems. The aim of community service activities carried out at the Sharia Financial Services Cooperative in Limau Manis Selatan Village, Pauh District, Padang City is to improve the quality of Human Resources (HR) performance in managing Cooperative activities. This goal was achieved because many staff in the cooperative were still unable to play the role of technology in supporting operational activities. The service method is carried out with an approach to implementation activities that includes the scope of implementation and work procedures. The results of the service activities that have been carried out are the application of information and communication technology to cooperative activities which will play a role in facilitating the process of implementing activities. Innovation is carried out with the aim of balancing and keeping up with current developments. The contribution of this service activity has an impact on the cooperative being more effective and efficient in management and improving HR performance

Digitalisasi Bisnis dalam Strategi Pemasaran Maggot BSF pada Agribisnis Anak Nagari dengan Metode Fuzzy Mamdani Harma, Wahri; Hadi, Febri; Kartika, Devia
Jurnal KomtekInfo Vol. 11 No. 1 (2024): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v11i1.497

Berkembangnya teknologi pada saat ini sangat dirasakan oleh seluruh aspek kehidupan. Salah satu aspek kehidupan yang mempunyai dampak perkembangan teknologi adalah aspek ekonomi. Ruang lingkup dari aspek ekonomi yaitu dalam melakukan pemasaran dari sebuah bisnis. Untuk meningkatkan pemasaran bisnis diperlukan teknologi informasi yang dikenal dengan digitalisasi. Digitialisasi bisnis sangat diperlukan dalam kegiatan agribisnis anak nagari nagari Muaro Paiti, Kec. Kapur IX, Kab. Lima Puluh Kota. Kegiatan agribisnis anak nagari ini adalah budidaya Maggot BSF (Black Soldier Fly). Strategi pemasaran Maggot BSF ini menggunakan metode fuzzy mamdani. Metode fuzzy mamdani sering dikenal dengan metode max-min. Tujuan dari penelitian ini adalah untuk meningkatkan penjualan Maggot BSF Agribisnis Anak Nagari dan menentukan permintaan pasar dan berapa banyak Maggot BSF harus di produksi. Data yang digunakan dalam penelitian ini merupakan data produksi Maagot BSF yang diambil dari periode Agustus 2021 sampai dengan Januari 2022. Hasil dari penelitian menggunakan metode Fuzzy Mamdani dapat memberikan prediksi produksi Maggot BSF sehinggga pemasaran Maggot BSF dapat diberikan kepada konsumen

Co-Authors , Shary Armonitha Lusinia Ariandi, Vicky Aulia Fitrul Hadi Defra Irawan Devia Kartika Dheatri Agrema Dodi Guswandi Eliza Eliza Febri Aldi Gushelmi Hadi Syahputra hadi syahputra Hadi, Meswantri Halifia Hendri Harma, Wahri Heri yanto irawan, Defra Irzal Arief Wisky Mayola , Liga Meswantri, Meswantri Meta, Monanda Rio Muhammad Afdhal Musli Yanto Musli Yanto Nadya Alinda Rahmi Paisal, Hena Utami Putri Pohan, Nurmaliana Pradani Ayu Widya Purnama Prayogi Wicaksana Rahman, Sepsa Nur Randy Permana Rima Liana Gema Rizky Rianda Sarjon Defit Satria Yulanda Shary Armonitha Lusinia Sumijan Syafri Arlis Syafrika Deni Rizki Vicky Ariandi Vicky Ariandi Wulan Ayu Safitri yanto, heri Yenila, Firna Yogi Wiyandra Yuhandri Yuhandri, Yuhandri Yusvi Diana Zefriyenni Zefriyenni, Zefriyenni

Title

Found 27 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 27 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 27 Documents
Search