Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Journal of Education Technology Bulletin of Social Informatics Theory and Application
Horng, Gwo-Jiun
Unknown Affiliation
Computer Science & IT Education Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Smartphone for palm oil fruit counting to reduce embezzlement in harvesting season Aripriharta, Aripriharta; Firmansah, Adim; Mufti, Nandang; Horng, Gwo-Jiun; Rosmin, Norzanah
Bulletin of Social Informatics Theory and Application Vol. 4 No. 2 (2020)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v4i2.283

Abstract

Harvest estimation is an essential parameter in the agriculture industries to estimate transportation facilities and storage areas in the harvesting season. Meanwhile, companies are required to calculate crop yields quickly and accurately. This paper reports on an experimental study in the form of a smart application to count oil palm fruit in the field quickly and accurately. The system used a single shot detector algorithm to count the number of fresh fruit bunches (FFB) on-site using a smartphone camera. The cutting area (CA) at the top of the collection was collected in various positions in the database. Our research documented that the algorithm matched the CA with the picture taken by the operator. Hence, the application automatically calculated the number of harvests per-site in the FFB unit. The data were then sent to the cloud database via a wireless router in a warehouse or through a cellular network. The main advantage of this application is reducing the theft that usually occurs on the spot. The model used performs very well for agricultural applications, with 94% to 99% accuracy.
Forecasting University Admissions through Student Achievement using Arima Method Maslamah, Siti; Aripriharta; Handayani , Anik Nur; Horng, Gwo-Jiun
Journal of Education Technology Vol. 9 No. 1 (2025): February
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i1.86015

Abstract

Education is a means that allows individuals to develop their potential through the learning process. Vocational High School (SMK) is a formal education that prepares students to become middle-level workers, enterpreneurs, or continue to college. The admission system for State Universities (PTN) is divided into three pathways: SNBP, SNBT, and Independent Selection. This study aims to forecast new student admissions through the achievement pathway, specifically based on report card grades, with a case study at vocational school. The forecasting method used is the Autoregressive Integrated Moving Average (ARIMA), by analyzing the trend of student grades data admitted to state universities in 2020-2023, which includes report card grades from semesters 1 to 5. From the ARIMA analysis that was carried out for student admissions at state universities, the best ARIMA model was obtained (1,1,2) with an average MAPE error value of 2.12%. This indicates that the ARIMA model has good performance and can be used to forecast new student admissions to state universities. This research is expected to provide recommendations to educational institutions for better planning in student assessments, thereby increasing the probability of students being admitted to state universities.
Co-Authors Adim Firmansah Aripriharta - Handayani , Anik Nur Maslamah, Siti Nandang Mufti Rosmin, Norzanah