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All Journal Jurnal Media Infotama Jurnal Sains dan Teknologi REKAYASA JOURNAL OF SCIENCE AND SOCIAL RESEARCH Djtechno: Jurnal Teknologi Informasi Jurnal Media Computer Science Jurnal Komputer Indonesia
Yupianti, Yupianti
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Physics Social Sciences

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Implementation Of Apriori Algorithm To Analyze Sales Data Of Goods At Izza Aquarium Shop Febianda, Kanita; Asnawati, Asnawati; Yupianti, Yupianti
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8569

Abstract

Toko Izza Aquarium is a business that sells animal feed and aquarium equipment. This research analyzes the sales data of Toko Izza Aquarium by applying the Apriori algorithm with the aim of providing data-based strategic recommendations to increase sales and customer satisfaction. This research is also expected to contribute in the field of sales data analysis in small and medium enterprises. The application of data mining to analyze the sales data of the Izza Aquarium Store is to provide information. The results of the analysis of Monthly sales data for the Izza Aquarium Store. Can be used as a parameter for inventory management at the Izza Aquarium Store and also provides information about the best-selling items at the Izza Aquarium Store. In analyzing sales data, the Apriori method is applied, so that the final result stage of the analysis passes the Apriori Method stage by meeting the Minimum Support and Minimum Confidence that has been determined. Based on the results of tests carried out on a data sample of 20 transactions in August 2024, the sales products that are most in demand by the public meet Minimum Support of 15% and Confidence 90% It turns out that Misster Puss Salmon and Chat Choice Green.
Perbandingan Metode Simple Additive Weighting Dan Metode Composite Performance Index Dalam Sistem Pendukung Keputusan Kelayakan Bantuan Pupuk Subsidi Untuk Kelompok Tani Hidayat, Rahmat; Yupianti, Yupianti; Sartika, Devi
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9371

Abstract

Decision Support System (SPK) is a system used to assist decision making in an organization or company. The development of a decision support system with the Simple Additive Weighting (SAW) method and the Composite Performance Index (CPI) method to determine the beneficiaries in determining the distribution of fertilizer assistance to farmer groups, and can minimize the inaccuracy in distributing the fertilizer assistance by applying the Simple Additive Weighting method and the Composite Performance Index method. This system is expected to help the government to determine the right recipient of fertilizer assistance, and be able to provide accurate and consistent recommendations, and increase transparency in the selection process. With this system, it is expected that the process of providing subsidized fertilizer assistance can run more fairly, efficiently, and on target.
PENGOLAHAN CITRA DIGITAL UNTUK IDENTIFIKASI OBJEK MENGGUNAKAN METODE HIERARCHICAL AGGLOMERATIVE CLUSTERING Jumadi, Juju; Yupianti, Yupianti; Sartika, Devi
JST (Jurnal Sains dan Teknologi) Vol. 10 No. 2 (2021)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.193 KB) | DOI: 10.23887/jstundiksha.v10i2.33636

Abstract

Identifikasi objek (object recognition) merupakan suatu bidang keillmuan dari komputer vision yang menggambarkan suatu objek yang didasarkan pada sifat utama dari objek tersebut. Identifikasi objek pada citra digital membutuhkan teknik dan metode yang mampu untuk mengekstraksi dan mengidentifikasi fitur-fitur yang terdapat pada citra digital, dimana komponen utamanya adalah warna sebagai dasar dari representasi objek pada citra digital. salah satu metode yang mampu menerapkan pengelompokan warna – warna objek pada citra digital sehingga dapat menjadi fitur utama dari objek pada citra digital adalah Hierarchical Agglomerative Clustering. Analisa dilakukan secara bertahap yaitu analisis sistem dan analisis algoritma agglomerative clustering. Proses analisa kemudian dilanjutkan dengan tahap perancangan yang mana dimulai dengan perancangan use case diagram dan perancangan flowchart. Akurasi dari algoritma Hierarchical Agglomerative Clustering cukup baik khususnya pada objek yang memiliki warna khusus atau warna yang telah menjadi ciri dari objek tersebut namun dapat menghasilkan pengenalan yang buruk jika objek yang berbeda memiliki warna dominan yang sama
SISTEM PAKAR BERBASIS WEB UNTUK MENDIAGNOSA KUCING YANG TERKENA VIRUS MENGGUNAKAN METODE DEMPSTER SHAFER Edia Putri, Figita; Yupianti, Yupianti; Zulfiandry, Ricky
Djtechno: Jurnal Teknologi Informasi Vol 3, No 2 (2022): Desember
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v3i2.2734

Abstract

Sistem pakar merupakan salah satu program dari kecerdasan buatan. Kemampuan sisten pakar untuk menyelesaikan berbagai tugas yang bisa dikerjakan oleh para ahli menjadi daya tarik tersendiri bagi sistem tersebut. Sistem pakar telah digunakan sebagai alat bantu dalam berbagai bidang kehidupan. Salah satu contoh program yang dapat dibuat yaitu Sistem Pakar Berbasis Web untuk mendiagnosa Kucing yang terkena Virus menggunakan Metode Dempster Shafer. Dengan adanya sistem pakar ini diharapkan dapat mengatasi permasalahan yang ada di petshop Otama Satwa tersebut. Sistem ini dirancang menggunakan Bahasa Pemrograman PHP dan database MySQL. Sistem pakar yang dihasilkan dapat membantu pemilik kucing untuk mendiagnosa penyakit Virus kucing serta memberikan solusi terhadap penyakit tersebut.
Sistem Pakar Diagnosis Gangguan Jiwa Dengan Metode Case Base Reasoning (CBR) Dan Similarity Probabilistic Symmetric Zuhri, M; Yupianti, Yupianti; Fredricka, Jhoanne
Jurnal Media Infotama Vol 22 No 1 (2026): April 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i1.10276

Abstract

This study develops an expert system for diagnosing mental disorders using the Case Based Reasoning (CBR) method and the Symmetric Similarity Method to detect types of psychiatric disorders based on patient symptoms. The CBR method is used to reason about new cases by comparing them to past cases stored in the knowledge base, while the Symmetric Similarity Method is used to calculate the degree of similarity between those cases. The research was conducted at Soeprapto Psychiatric Hospital (RSJ Soeprapto) in Bengkulu and developed the diagnostic expert system using Laravel and MySQL. With this system, the diagnostic process can be carried out more quickly and efficiently, and it can be used by the public for early detection before receiving a direct examination from a psychiatric specialist.
Co-Authors Abimanyu, Iqbal Kresna Agustin, Decki Ahmad, Rahman Aji Sudarsono Alinse , Rizka Tri Angga Dwi Supardi Putra, Edo Aprilinda, Tara Aribowo, Deko Asnawati Asnawati Beti, Ila Yati Candra, Bintang Bayu Abie Dimas Aulia Trianggana Edia Putri, Figita Edy Hermansyah Eko Suryana Febianda, Kanita Feri Hari Utami, Feri Hari Fredricka, Jhoanne Galih Putra Kusuma Herlina Latipa Sari Indra Kanedi Juju Jumadi Julita , Rina Jutriansyah, Dodon Khairil Khairil Kurnianto, Ridho Rahman Lena Elfianty Lianda, Deri Liza Yulianti Marzuki, Wahyu Ishak Meta, Rio Sefrin Alfa Monika, Lola Eris Muhammad Ikbal Muhammad Soleh Mukmin, Fauzan Latief Nurhalifah, Silvy Dwi Nurul Husna Prasetyo R, Eko Putra, Nanda Pratama Putra, Repal Kesatria Putra, Riski Adi Putri, Rozi Eka Rahmat Hidayat Revaldo, Ahmad Rianda, Reszha S Siswanto sapri sapri Sari, Heni Kusnita Sartika , Devi Sartika, Devi Septiyadi, Muhammad Harri Silola, Alun Supardi , Reno Supriadi, Dofey Suriatno, Tommy Ulandari, Puspa Zuhri, M Zulfiandry, Ricky