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All Journal E-Journal Cano Ekonomos Riau Journal of Computer Science JURNAL MEDIA INFORMATIKA BUDIDARMA IJISTECH (International Journal Of Information System & Technology) Informatika IJISTECH Journal of Community Engagement Research for Sustainability RJOCS (Riau Journal of Computer Science)
Kiki Yasdomi
Program Studi Sistem Informasi, Fakultas Ilmu Komputer Universitas Pasir Pengairan Jl. Tuanku Tambusai Kumu, Desa Rambah, Kec. Rambah Hilir, Kab. Rokan Hulu
Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Nursing Public Health Social Sciences Other

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Journal : Informatika

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Sistem Informasi Jual Beli Kelapa Sawit Berbasis Web pada Peron Reskianto Yasdomi, Kiki; Utami, Urfi; Maradona, Hendri; Dona, Dona; Rahayu, Susi
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6117

Abstract

In Surau Gading village, the majority of the population is employed as oil palm farmers. Every two weeks, farmers harvest oil palm fruit. After harvesting the oil palm fruit, the farmers sell it to Peron Resdianto, who is a young entrepreneur in the village of Surau Gading. Almost every day, the platform owner purchases agricultural products made from palm oil. Because a large number of customers sell their agricultural products, palm oil platform owners have to make sales to the factory once every two days. Once the palm oil mill receives the sales proceeds, the platform owner disburses payments to the palm oil farmers who sell their agricultural products. As information technology advances, it has now spread to almost all fields and is developing at a rapid pace. Information technology's application is evolving, as evidenced by the constant advancements in the field. The author wants to design a web-based information system for selling and buying palm oil on the Resdianto platform using the PHP and My SQL programming languages. We designed this system using system modeling tools, personal home page (PHP), MYSQL, HTML, data flow diagrams (DFD), Xampp, flowcharts, and entity relationship diagrams (ERD). Peron Reskianto can improve performance by creating a web-based information system for buying and selling palm oil, which will assist platform owners in collecting data on palm oil purchases and sales. This information system guarantees security and reduces errors.
Implementasi Data Mining Untuk Menentukan Kelayakan Penerimaan Bedah Rumah Menggunakan Algoritma K-Means Fakultas Ilmu Komputer Universitas Pasir Pengaraian Dona, Dona; Sabri, Khairul; Yasdomi, Kiki; Rifqi, Mi’rajul; Yuliansyah, Chandra; Susmita, Afnes
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7828

Abstract

The house renovation program is a government program, namely the Public Housing and Settlement Area Office, which is shown to rehabilitate or repair community houses that are not habitabel. This program is often a problem in Bangun Purba Village because when determining house renovation assistance, it is still by looking or relying on thoughts and predictions for people who will get assistance, so that the assistance that will be distributed is not on target. This house renovation program aims to provide welfare for the poor to build or renovate houses that are not habitabel. Therefore, the author created a Data Mining system to determine the feasibility of receiving home renovation using the K-Means algorithm using the PHP programming language and MySQL database. The K-Means method utilizes training data to generate probabilities such as each grouping for different classes, so that the probability values of the grouping can be optimized to determine the eligibility for receiving home surgery assistance based on the grouping process carried out by the K-Means method.
Co-Authors -, Masrayani Afrijal Afrijal, A Agung Setiawan agung setiawan Asari, Wahyu Asmen, Faisal Atmaja, Niko Surya Budi Yanto, Budi Desiyanti, Vivi Dona Dona, D Dona, Dona Fatmawati, Dinni Hendri Maradona, Hendri Jannah, Wirda Jannatul Kurniawansyah, Dani Makmur -, Makmur Muhammad Ridho Rifki, Mi'rajul Rifqi, Mi'rajul Rifqi, Mi’rajul Rifqi, Mi’rajul Rina Febrinova, Rina Sabri, Khairul Susi Rahayu Susmita, Afnes Utami, Urfi Yuliansyah, Chandra