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All Journal Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika bit-Tech Jurnal Puan Indonesia Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Wira Buana, Wira
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health

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Penerapan Fuzzy Mamdani Untuk Sistem Pendukung Keputusan Pemilihan Telepon Seluler Buana, Wira
Jurnal EDik Informatika Vol 2, No 1 (2015)
Publisher : STKIP PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (334.762 KB) | DOI: 10.22202/ei.2015.v2i1.1455

Abstract

Fuzzy logic merupakan salah satu pendekatan yang menggunakan beberapa tahapan tertentu. Beberapa modelfuzzy logic banyak diterapkan dalam menyelesaikan berbagai permasalahan salah satunya adalah fuzzy Mamdani.Banyaknya  jenis  telepon seluler yang  tersedia  dipasaran  membuat  para konsumen  menjadi  kesulitan  untuk  menentukan pilihannya. Permasalahan  yang  dipilih  adalah  membangun sistem  pendukung  pengambilan  keputusan  untuk membantu  memberikan  pilihan  ponsel  bagi  para konsumen  berdasarkan  kriteria-kriteria  yang diinginkan oleh konsumen tersebut.  Kriteria  yang  digunakan  dalam  membantu menentukan  pilihan  ponsel  yang  diinginkan konsumen  antara  lain  berdasarkan  pada  harga, ukuran layar ponsel, dan kapasitas memori. Dikarenakan  kriteria-kriteria  tersebut sifatnya  relatif  maka  dibuat fuzzy Mamdani  yang dapat digunakan model untuk mendapatkan pilihan yang  tepat  dari  suatu  yang  samar. Hasil penelitian dalam pemilihan telepon seluler, berdasarkan data telepon seluler penulis melakukan beberapa pengujian yaitu pengujian dengan fuzzy dan pengujian menggunakan software Matlab yang dapat membantu mempercepat proses pengolahan data dan mendapatkan sebuah keputusan dengan cepat
Penerapan Algoritma Naïve Bayes Dalam Pengelompokkan Air Layak Minum Sari, Dian Permata; Buana, Wira; Meri, Rozi; Perdana, Rika Widya
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.406

Abstract

Water is a basic human need, without water humans cannot carry out activities. However, not all types of water can be consumed and are healthy for humans. So it is important to check water quality regularly. Because the influence of weather can make the water quality unfit      consumption. To determine water quality, laboratory testing is required. This test requires complex analysis results so the time used in testing is relatively longer. In data mining there are classification techniques that can be used to group drinking water samples based on several variables that have been determined from water data. The aim of this research is to classify the types of drinking water that are suitable for consumption and the characteristics of healthy water. To process the data using the Naïve Bayes algorithm and produce an accuracy value of 75%.
Implementasi Metode TOPSIS Pada Sistem Pendukung Keputusan Pemilihan Depot Air Minum Isi Ulang Sari, Dian Permata; Meri , Rozi; Buana, Wira; Sari, Mike Febri Mayang
bit-Tech Vol. 7 No. 2 (2024): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i2.1843

Abstract

Air adalah kebutuhan dasar bagi semua makhluk hidup, dan keberadaannya sangat penting untuk kelangsungan hidup. Seiring dengan meningkatnya permintaan akan air, ketersediaan air bersih tidak selalu sebanding, sehingga banyak masyarakat yang memilih air minum isi ulang yang praktis dan terjangkau. Masyarakat diharapkan bijak dalam memilih depot air minum yang higienis dan sehat sesuai dengan standar yang ditetapkan oleh pemerintah. Metode TOPSIS, yang merupakan bagian dari Sistem Pendukung Keputusan, dapat membantu dalam memilih depot air minum isi ulang yang sehat. TOPSIS adalah metode pengambilan keputusan multikriteria yang menggunakan prinsip bahwa alternatif yang dipilih harus memiliki jarak terdekat dengan solusi ideal positif dan jarak terjauh dari solusi ideal negatif. Ada empat variabel yang digunakan untuk memilih depot air minum isi ulang yang sehat, yaitu kualitas air, sanitasi penjamah, peralatan, dan kelengkapan. Hasil analisis dengan metode TOPSIS memberikan rekomendasi depot air minum yang sehat. Berdasarkan perhitungan nilai preferensi, alternatif V1 memperoleh nilai tertinggi sebesar 0.87188, diikuti oleh alternatif V13 dengan nilai 0.84037, dan seterusnya. Dengan demikian, alternatif V1 direkomendasikan sebagai depot air minum isi ulang yang terbaik. Sistem pendukung keputusan dengan metode TOPSIS dapat dijadikan panduan dalam pemilihan depot air minum isi ulang.
Pelatihan Pembuatan Video Pembelajaran pada Guru SD IT Al-Iffat Payakumbuh Menggunakan Aplikasi OBS Studio Sari, Dian Permata; Buana, Wira; Sari, Mike Febri Mayang; Rizki, Sestri Novia
PUAN INDONESIA Vol. 6 No. 2 (2025): Jurnal Puan Indonesia Vol 6 No 2 Januari 2025
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v6i2.319

Abstract

As time progresses, especially in terms of technology, there are more and more benefits that can be obtained if we can keep up. Currently, especially in the midst of the COVID-19 pandemic, the teaching and learning process has also changed. The world of education was then forced to change direction to change the way of learning based on face-to-face encounters to online learning. If previously you were used to providing material through books, now teaching materials are provided via online media, which can be in the form of e-books, digital classes, or learning videos. Currently, learning media is developing very rapidly, previously using textbooks, teaching in class and now using online media. The use of online media in learning can be in the form of audio and video learning which students can access anywhere and anytime, regardless of time. Technological advances in the world of education must be balanced with the quality of teachers regarding understanding and expertise in using technology so that students do not become monotonous in learning with the online system. Learning videos are media that can be used to support the smooth learning process, one application that can be used is Open Broadcaster Software (OBS) studio. Some of the features of this application are recording. Apart from that, the application can be used for streaming by having scene, visual and audio features that can be created with the creativity of each teacher. With video learning media, students are able to achieve abilities in the cognitive, affective, psychomotor domains and can improve interpersonal skills.
Implementasi Data Mining pada Penjualan Barang dengan Tekhnik K Means Permata Sari, Dian; Buana, Wira; Febri Mayang Sari, Mike
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 1 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i1.955

Abstract

One of the data mining techniques is the K-Means Clustering Algorithm, which is a method that partitions data into one or more clusters or groups. The K-Means algorithm groups data that have different characteristics into other groups. In this study, the K-Means algorithm is grouped into three groups, namely best-selling items, sold items, and less sold items. The grouping is based on the variables of item name, initial stock, and final stock, the case study of which is at the Eli daily shop based on the level of best-selling sales in the last month, namely January 2025. The purpose of using the K-Means algorithm technique is to implement sales strategies and provision of stock of goods that aim to reduce the risk of loss. With this research, it is hoped that it can become a marketing strategy that can provide profit and reduce the risk of sales losses.
Co-Authors Dian Permata Sari Febri Mayang Sari, Mike Meri , Rozi Meri, Rozi Perdana, Rika Widya Permata Sari, Dian Rizki, Sestri Novia Sari, Mike Febri Mayang