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Penerapan Metode Fuzzy Mamdani untuk Memprediksi Angka Penjualan Token Berdasarkan Persediaan dan Jumlah Permintaan pada PT. PLN (Persero) Padang Berbasis WEB Devia Kartika; Rini Sovia; Hoka Muhgrah Sandawa
Jurnal KomtekInfo Vol. 5 No. 1 (2018): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.763 KB) | DOI: 10.35134/komtekinfo.v5i1.8

Abstract

Listrik merupakan kebutuhan pokok untuk berbagai aktivitas manusia, yang kemudian digunakan untuk berbagai fungsi di masa depan. Dalam mekanisme saat ini PT. PLN menerapkan sistem kelistrikan pintar meteran (token) prabayar. Dalam menentukan jumlah penjualan token dikembangkan dengan menerapkan metode Fuzzy Mamdani. Tujuan yang dicapai adalah untuk memprediksi angka penjualan token berdasarkan data penawaran dan permintaan. Pada proses fuzzy, input dibagi menjadi 2 variabel yaitu supply dan demand. Himpunan fuzzy untuk keluaran penjualan token adalah rendah, sedang, dan tinggi. Pengembangan sistem ini dibuat berbasis web dengan menggunakan bahasa pemrograman PHP (Hypertext Preprocessor) dan database MySQL. Dalam penelitian ini, penulis menggunakan UML (Unified Modeling Language) dalam perancangan program
Employee Scholarship Acceptance By Applying The Mfep Method Rima Liana Gema; Mutiana Pratiwi; Shary Lusinia; Devia Kartika; Ulya Ilhami Arsyah
Jurnal KomtekInfo Vol. 7 No. 2 (2020): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (254.021 KB) | DOI: 10.35134/komtekinfo.v7i2.77

Abstract

The use of computers in people's lives is growing as is the case with companies that provide scholarships for the children of employees who work at the company. The scholarship selection system is still done manually so it is ineffective and inefficient and requires a long time. By using a new system design to assist in data processing of spare part goods, producing a desired system a system is created. In this study the authors used the method of field research, interviews, library research and laboratory research, in conducting analysis using UML (Unified Model Language). The new system will be implemented later to improve the quality of information generated so that these designs can be useful for the company concerned.
Analisis Metode Weighted Product dalam menentukan Order Barang Terbaik pada Marketplace Shopee Dodi Guswandi; Hadi Syahputra; M. Hafizh; Rita; Devia Kartika
Jurnal KomtekInfo Vol. 9 No. 2 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (323.644 KB) | DOI: 10.35134/komtekinfo.v9i2.277

Abstract

Ordering goods online on the Marketplace is a very popular public habit today because it is very easy to use which can save time, cost, and effort. One of the most visited Marketplaces by customers is the Shopee Marketplace, in this Marketplace, many customers have difficulty determining the best item because the same item is available in several stores with different characteristics, so many ordered items do not match what they expect. This study aims to apply an analytical model in determining the best order for goods on the Shopee Marketplace using a Decision Support System (SPK) with the Weighted Product (WP) method. The performance of the WP method is able to perform weighted multiplication on each criterion after being ranked and the decision results in the form of ranking produce solutions in determining the best order for goods on the Shopee Marketplace. The criteria used to consist of Price (C1), Product Quality (C2), Online Customer Reviews (C3), Number of Goods Sold (C4), Delivery Time (C5), Payment System (C6), and Shipping Discounts (C7). The results of this study which are presented in the performance of the WP method are able to determine the highest value of goods in several stores in the same type of goods, after the ranking results, namely Item A, Store 5, get a value of 0.130237 as the best order of goods.
COMPARATIVE ANALYSIS OF PRODUCTION PREDICTION OF SILUNGKANG SONGKET AND PANDAI SIKEK SONGKET WITH MAMDANI FUZZY INFERENCE SYSTEM (FIS) METHOD Devia Kartika; Rima Liana Gema
Jurnal Ipteks Terapan Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (440.241 KB) | DOI: 10.22216/jit.v14i3.106

Abstract

Fuzzy logic is widely applied in various fields, such as industry, communications, etc. Fuzzy logicwas developed to solve an obscure problem. The problem that arises in the production at MSMEsSongket Silungkang and Songket Pandai Sikek at this time is that there is no system used as areference in determining the amount of production in the future. Where this method can utilizedemand and supply data in the past which is then processed with fuzzy stages so as to produceproduction figures. The government has prioritized the development of the Silungkang songkethandicraft business, which is a regional specialty, in order to enter the export market. In the earlystages, the priority of the regional government was to increase the production of craftsmen byfacilitating coaching for micro, small and medium enterprises (MSMEs), especially those engaged insongket crafts, to continue to be developed by increasing quality and creativity. By applying theFuzzy Inference System method in predicting the production of Songket Silungkang KotaSawahlunto and Songket Pandai Sikek Kota Agam can help several parties such as the government,micro, small and medium enterprises in making efforts to handle and make good decisions towardsincreasing the production of Songket MSMEs in each region. and can provide a comparison of thepredicted results of production for the coming period so that it can produce the optimal number ofsongket based on market demand.
EAR IMAGE SEGMENTATION WITH EDGE DETECTION METHOD ON CANNY AND LAPLACE ALGORITHMS Sri Rahmawati; Wifra Safitri; Devia Kartika
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 (874.49 KB) | DOI: 10.22216/jit.v16i4.1764

Abstract

Technology in identifying ear shapes is the most important step in an automatic ear shape identification system. The purpose of this paper is to introduce an approach to image segmentation, color by determining the pixel values in the database and scanning results, the similarity results are formed, the error value of each image. The method used is color segmentation based on RGB(red, green, blue) values, edge detection with the canny and laplace methods and the results of the segmentation. The results obtained are that the program that has been created can identify the shape of the ear image in the database compared to the scanning results using the segmentation method and calculate the number of image pixels between the database image and the scanned image where the minimum number of pixels for the ear shape image in the database is 452 pixels, while the total the maximum pixels is 3028 pixels. For the image of the shape of the ear the result of scanning the minimum number of pixels is 419 pixels and the maximum number of pixels is 2742 pixels. The percentage of identification results for the shape of the ear has an average similarity level: 92%, the results of this study show a very high level of accuracy. The percentage of error in identifying the shape of the ear has an average error rate of: 8%, the results of this study indicate a very low error rate. a conclusion that comparing one image with another image will get a very high level of accuracy in the canny image results are better because the edge detection is clearer and the noise is less. While image laplace is worse because there is a lot of noise
Pelatihan Membuat E-Commerce Untuk Pemasaran Online Pada UMKM Akrilik Devia Kartika; Rima Liana Gema; Erdisna Erdisna
Jurnal Pengabdian Masyarakat Dharma Andalas Vol 1 No 1 (2022): Jurnal Pengabdian Masyarakat Dharma Andalas
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (650.556 KB) | DOI: 10.47233/jpmda.v1i1.596

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Community Service Activities in Micro, Small and Medium Enterprises (MSMEs) This Acrylic Village aims to conduct training on making Commerce help Independent Enterprises community in solving the problems they face in efforts to develop businesses, ranging from aspects of production and business management to especially in terms of digitalization-based marketing, which is expected to be will create economic independence and increase their business income. Special Targets in UMKN digitalization training activities and E-Commerce Development Training on making E-Commerce for Online marketing for MSMEs Acrylic and E-Commerce account creation will be held on June 6, 2022. Training and creation This e-commerce is aimed at SMEs in the acrylic village. ECommerce built in form of marketing in the form of a website. It is hoped that with the MSME digitization training and Making E-Commerce this will form a self-employed community innovative in the marketing process, Independent and responsive to market demands so that will make a positive contribution to society and the environment.
Pemberian Modal Usaha Mikro pada PNM Mekaar Dengan Fuzzy Inference System Metode Mamdani dan Tsukamoto Devia Kartika; Rima Liana Gema; Rudi Nanda Pratama
Jurnal Karya Ilmiah Multidisiplin (JURKIM) Vol. 2 No. 1 (2022): Jurnal Karya Ilmiah Multidisiplin (Jurkim)
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (318.246 KB) | DOI: 10.31849/jurkim.v2i1.9080

Abstract

Salah satu metode untuk menganalisa sistem yang mengandung ketidakpastian adalah dengan Logika fuzzy. Pada penelitian ini digunakan fuzzy inference system metode tsukamoto dan Mamdani dalam pemberian modal usaha mikro pada PNM Mekaar yang mana data yang diperoleh yaitu penentuan calon nasabah mempunyai kriteria-kriteria yang harus dipertimbangkan. Hasil dari penelitian ini adalah terbangunnya sebuah sistem pendukung keputusan yang dapat membantu para karyawan PNM Mekaar Cabang Bungus dalam memberikan modal usaha mikro terhadap nasabah berdasarkan kriteria-kriteria yang sudah ditentukan secara baik dan cepat. Abstract One method to analyze systems that contain uncertainty is fuzzy logic. In this study, the Tsukamoto and Mamdani method of fuzzy inference system was used in providing micro-enterprise capital at PNM Mekaar, where the data obtained was that the determination of prospective customers had criteria that must be considered. The result of this research is the establishment of a decision support system that can assist the employees of PNM Mekaar Bungus Branch in providing micro business capital to customers based on well and quickly determined criteria.
Penerapan Metode Certainty Factor dan Dempster Shafer dalam Sistem Pakar Penerima Bantuan Daerah pada Jorong Koto Tuo Hezy Kurnia; Devia Kartika
Jurnal Karya Ilmiah Multidisiplin (JURKIM) Vol. 3 No. 1 (2023): Jurnal Karya Ilmiah Multidisiplin (Jurkim)
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.296 KB) | DOI: 10.31849/jurkim.v3i1.12191

Abstract

The issue of poverty is a classic humanitarian problem and a solution needs to be found. In Indonesia, the causes of poverty itself are also diverse, including an inadequate minimum wage, a large number of family members and increased unemployment due to the difficulty in finding jobs. Not only in urban areas, the problem of poverty is even more so in regions or villages. Therefore, an integrated effort is needed to overcome this problem. As an effort to accelerate poverty reduction, since 2017 the government has implemented the Family Hope Program (PKH). In order to be right on target in distributing aid, an expert system was designed to determine the recipients of this regional assistance. With the existence of an expert system for determining regional aid recipients for poor families in the Family Hope Program (PKH), it will improve services for poor families to have access and make good use of social services such as health, education, food and nutrition, care, assistance, and various other social protection programs. This research was also conducted to minimize misunderstandings that occurred in the community in deciding the criteria for receiving regional assistance according to the conditions of the recipient. Then the results of the analysis are applied in an application design that is able to make decisions consistently, quickly, precisely and has the percentage needed in making the final decision using the Visual Basic programming language and the MySQL database
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

Abstract

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
Pemanfaatan Teknologi Digital dalam Pembelajaran Siswa SMP Sahara Padang Raja Ayu Mahessya; Larissa Naviarani; Devia Kartika
Alamtana: Jurnal Pengabdian Masyarakat UNW Mataram Vol 3 No 3 (2022): Edisi Desember 2022
Publisher : LPPM UNIVERSITAS NAHDLATUL WATHAN MATARAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jaltn.v3i3.1243

Abstract

Pemanfaatan teknologi informasi dan komunikasi menjadi salah satu prinsip pembelajaran di sekolah menengah pertama dalam rangka meningkatkan efisiensi dan efektifitas pembelajaran. Seorang guru perlu mengembangkan penerapan teknologi informasi dan komunikasi yang disesuaikan dengan situasi dan kondisi peserta didik secara terintegrasi, sistematis, efektif. Guru dapat melakukan penerapan teknologi informasi dan komunikasi pada pembelajaran dengan berbagai bentuk salah satunya adalah pembelajaran dengan menggunakan e-module interaktif menggunakan aplikasi canva. E-module merupakan salah satu bentuk media ajar yang memiliki konten dan lebih berfokus pada aktivitas belajar yang dikembangkan pada program pendidikan dan pelatihan. E-modul digital merupakan salah satu jenis yang dioperasikan pada berbagai peralatan digital seperti computer dan mobile.