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All Journal e-Jurnal Apresiasi Ekonomi Jurnal Teknik dan teknologi tepat guna JoDENS: Journal of Digital Ecosystem for Natural Sustainability
Khairi, Aziati Ridha
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Pengembangan Produk Mainan Huruf Arab Braille Dengan Menggunakan Metode Quality Function Deployment Khairi, Aziati Ridha; Hermana, Budi
Jurnal Teknik dan Teknologi Tepat Guna Vol. 1 No. 3 (2023): Jurnal Teknik dan Teknologi Tepat Guna
Publisher : Riset Sinergi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/j-t3g.v2i1.129

Abstract

Increasing the ability of blind children can be done through by reading skills. A total blind person is in desperate need of braille to be able to read and get important information. Not only the letters of the Braille alphabet, the blind are also expected to be able to understand the Arabic braille letters, one of which is to facilitate reading Braille Quran. The purpose of the study are identify customer needs, technical characteristics, product specifications and product design, find out the material used, and estimate the total cost to make one product. Products are designed using Quality Function Deployment (QFD) and product visualization using CATIA. Customer needs for arabic letter braille toys are interesting, not boring, the material used is non-toxic, the material is not easily broken, not easily damaged, toys are easily stored, not too big, not heavy, easy to use, not harmful when used, and multifunctional toys. The product technical characteristics are shape, material type, weight, length, width, and height. The specifications of product are box shape design, the material used is Dutch teak, product size is 27 x 19.5 x 15 cm, product weight is 979gr. The estimated total cost for braille Arabic toy is Rp.131,936.
Peramalan Permintaan Bag Filter Menggunakan Metode Regresi Linear pada Gudang Suku Cadang PT Semen Padang Khairi, Aziati Ridha; Salma, Fathayatul
Journal of Digital Ecosystem for Natural Sustainability Vol 3 No 2 (2023): Desember 2023
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v3i2.193

Abstract

Demand forecasting is the most important thing for every company in running a business. Demand forecasting is an activity of predicting or estimating what will happen in the future using certain techniques. Research to identify forecasting demand for filter bags so that we can maintain stock of goods and find out the number of products in the future in the face of certain obstacles or conditions to reduce the risks or uncertainties faced. Research methods are constant method, linear trend, and quadratic method. In forecasting Bag Filter demand, three methods are used, namely, the constant method, the linear method and the quadratic method. These three methods have different standard error values. The smallest error level is the constant method. Based on constant data, the number of requests for filter bags for April 2022 – March 2023 is 235 filter bags.
ANALYSIS OF THE EFFECT OF USING ARTIFICIAL INTELLIGENCE (AI) AS A LEARNING RESOURCE FOR STUDENTS IN THE DIGITAL AGE Ervil, Riko; Putri, Della Rahma; Khairi, Aziati Ridha; Idris, Idris; Abror, Abror
Jurnal Apresiasi Ekonomi Vol 14, No 1 (2026)
Publisher : Institut Teknologi dan Ilmu Sosial Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31846/jae.v14i1.1043

Abstract

Technological developments in today’s digital era are advancing rapidly and have created significant impacts across various fields, including education—particularly in the way students access learning resources. Although AI offers convenience and efficiency, it also introduces challenges such as reduced creativity, diminished critical thinking, and increased dependence on technology. As one of the key innovations of the Industrial Revolution 4.0, AI has been widely adopted across multiple sectors, including education. This study focuses on three major AI tools: ChatGPT, Copilot, and Gemini. The purpose of this research is to identify which types of AI are most widely used and perceived as the easiest to understand as learning resources for students in the digital era, as well as to examine the influence of AI on students’ material comprehension, learning effectiveness, and academic achievement. This study employed a quantitative research method. Data were collected through an online questionnaire distributed to 400 students in West Sumatra. The data were analyzed using Simple Linear Regression and ANOVA to compare and measure the influence of each variable. The findings indicate that AI usage has a significant effect on all three variables. The study concludes that ChatGPT is the most widely used AI tool among students. ChatGPT and Gemini are also considered the easiest AI tools to understand as learning resources. Furthermore, AI usage significantly affects students’ material comprehension, learning effectiveness, and academic performance.
Co-Authors Abror Abror Budi Hermana Idris Idris Putri, Della Rahma Salma, Fathayatul