Article Per Year (5 Year)
p-Index From 2019 - 2024
1.922
P-Index
This Author published in this journals
All Journal Jurnal Informatika Universitas Pamulang JAMAIKA: Jurnal Abdi Masyarakat LOGIC : Jurnal Ilmu Komputer dan Pendidikan Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia OKTAL : Jurnal Ilmu Komputer dan Sains
Budi Apriyanto
Universitas Pamulang
Humanities Astronomy Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences Transportation Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia

 1 
Sistem Pakar Untuk Screening Awal Pada Gangguan PTSD (Post Traumatic Stress Disorder) Menggunakan Metode Forward Chaining Berbasis Website Muhammad Faisal Dzaki Sidik; Budi Apriyanto
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 3 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Bad experiences in a person have different stories, ranging from small things to those that make it hard to forget and greatly affect his psychology to an indeterminate extent because bad experiences are easier to remember than good or pleasant experiences even though Some say that good or pleasant experiences are difficult to forget, but in fact, it is the bad experiences that are very difficult to forget which in the end only imagines in his mind and makes him suffer from psychological disorders. These psychological disorders make it difficult for a person to forget and make him remember continuously which makes him panic, stressed, and traumatized. This person may experience PTSD (Post Traumatic Stress Disorder) or post-traumatic stress disorder, or someone who previously experienced a bad or unpleasant event or experience. It is still unknown how many people know about PTSD (Post Traumatic Stress Disorder), maybe people only know about trauma, then there is a lack of education or information about PTSD (Post Traumatic Stress Disorder) disorders which makes people not realize that they are affected by these disorders, which in the end people only find out when they or those closest to them have experienced PTSD (Post Traumatic Stress Disorder) disorders, and many people still don't know how the solution is to find out if they are indicated by PTSD (Post Traumatic Stress Disorder), which makes these people not know that they could have indications of PTSD (Post Traumatic Stress Disorder). From these problems, a solution was created, namely the PTSD Initial Screening website (Post Traumatic Stress Disorder). In making the Initial Screening website, researchers used a method, the method used is the Forward Chaining method. The result of this study is a website for early screening of PTSD (Post Traumatic Stress Disorder) disorders, which can help the public to know whether they are indicated or not about PTSD (Post Traumatic Stress Disorder) disorders.
Implementasi Data Mining Untuk Prediksi Penjualan Produk Terlaris Di Alfamart Panglima Polim II Menggunakan Metode K-Nearest Neighbor Dendi; Budi Apriyanto
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 3 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to implement data mining using the K-Nearest Neighbor method to predict the best-selling products at Alfamart Panglima Polim II. Currently, the store manager relies on subjective analysis based on previous month's sales data, which is ineffective and can lead to excessive stock accumulation. Therefore, this research proposes the use of data mining and the Knearest neighboralgorithm as a more effective approach to determine products that are frequently purchased by consumers. Data mining will be used to analyze previous sales patterns and identify relationships among the existing sales data. The K-Nearest Neighbor method will be applied to classify products based on their similarity to the nearest neighbor in the training data. The expected outcome of this research is to provide strong support to the store manager in making more accurate decisions regarding the best-selling products. By implementing data mining and the K-Nearest Neighbor method, this research aims to address the limitations of the current subjective analysis approach. Consequently, the company can optimize inventory management and improve operational efficiency.
Perancangan Aplikasi Inventori Untuk Mengelola Persediaan Barang Pada Toko Jamu Menggunakan Metode FIFO, LIFO Dan Average (Studi Kasus : Toko Jamu Mujur Jaya Cisoka) Muhamad Ridwan; Budi Apriyanto
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 4 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Technological developments are increasingly increasing, encouraging human nature to make the best use of and use technology. The emergence of various types of electronic devices and applications that are growing along with the development of the internet can now be felt almost anywhere. In addition, the current development of computers plays an important role in various fields of business, especially its good ability to process data and information. Mujur Jaya Cisoka is a Jamu Shop that sells various types of Jamu (Raw), Herbal Ingredients, Medicines and so on. In its implementation, data management and data processing are still carried out using conventional methods, for example in stock data storage, sales data are still recorded using stationery, so that data retrieval takes longer, therefore, an Inventory Application is needed for managing goods data. making it easier for store employees to manage item data. In this Inventory Application, in the process the writer uses the FIFO, LIFO and Average methods. Design and implementation is focused on the process of managing the inventory of goods carried out by employees or shop clerks under the supervision of the shop owner. In the final stage of developing this application, an evaluation of the application development process is carried out. What things have been made and what are the shortcomings in application development, will be reviewed in this thesis.
Co-Authors Ahmad Fikri Zulfikar Anggitania Aurien Bagas Setiyaki Wicaksono Dede Supriyadi Dendi Dimas Panji Naufaldi Enjah Pipit Fitriyadi Enjah Pipit Fitriyadi Farida Nurlaila Galih Wangsa Putra Gunawan Eka Putra hidayatullah Al Islami Joko Triyanto Kevin Fahrezi M Thian Andriansyah Muhamad Ridwan Muhammad Faisal Dzaki Sidik Nur Lingga Setya Dewi Pacifico Shorea Rotaria Ratna Sari Susanna Dwi Yulianti Kusuma