Article Per Year (5 Year)
p-Index From 2020 - 2025
2.915
P-Index
This Author published in this journals
All Journal COMPTON: Jurnal Ilmiah Pendidikan Fisika Jurnal Pendidikan dan Teknologi Indonesia Journal Software, Hardware and Information Technology Jurnal Media Informatika Jurnal Abdi Masyarakat Indonesia Al Khidma: Jurnal Pengabdian Masyarakat Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Vortex Dedikasi Saintek Jurnal Pengabdian Masyarakat Applied Science and Technology Research Journal JTH: Journal of Technology and Health DEDIKASI SAINTEK Jurnal Pengabdian Masyarakat
Hastono, Tri
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 19 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : JTH: Journal of Technology and Health

 1 
AVOCADO STOCK PREDICTION SYSTEM IN FRUIT SHOPS: A Case Study in Bantul City Setiawan, Wisnu; Hastono, Tri; Gunawan, Riyan Fahmi
JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.vi.3

Abstract

This study aims to develop a predictive system for avocado stock that can be used by fruit stores in Bantul City. This case study was conducted to analyze and predictavocado inventory based on historical data and other factors influencing demand and supply in the area. The method used in this research is the prediction method using Adaline (Adaptive Linear Neuron). The results show that this avocado stock prediction system can assist fruit stores in optimizing inventory and avoiding stockouts. The implementation of this system is expected to enhance efficiency andcustomer satisfaction in fruit stores in Bantul City. Further research is recommended to conduct a more in-depth analysis of the factors influencingavocado demand and supply in Bantul City to improve stock predictionaccuracy. Keywords: predictive system, avocado stock, fruit store, inventory management, Bantul City.
BACKPROPAGATION ARTIFICIAL NEURAL NETWORKS PREDICTION OF ELEMENTARY SCHOOL STUDENT GRADUATION WITH EXAMINATION PRACTICE SCORE Sunaryo, Azzahra Rahmawati; Hastono, Tri; Abelia, Nevanda
JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.vi.4

Abstract

Backpropagation method is a computer technique to help predict and sort data. This method is usually used to change the connection between parts of the computer's brain in the hidden layer. Meanwhile, the Nervous System Network (ANN) is an information processing system that is very similar to the function of human brain cells. Value is a benchmark for a student's graduation, if the student'sscore is getting better, the more opportunities for the student's graduation. In predicting this pass using the method of Artificial Neural Networks (ANN), namely Backpropagation and using Matlab software with the MSE (Mean Square Error) result of 0.099512. Keywords: Graduation Prediction, Backpropagation, Examination Practice Value, Artificial Neural Networks, Matlab
SALES PREDICTION OF ANUGERAH JAYA PANCING 99 SHOP WITH BACKPROPAGATION NEURAL NETWORKS Binurilfatikhah, Barikna; Hastono, Tri; Sulistyawati, Tyas
JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.vi.5

Abstract

Artificial Neural Network (Artificial Neural Network) is an information processing paradigm inspired by the workings of biological nervous systems, such as the performance of the brain, which processes information. Toko Anugerah Jaya Pancing 99 faces challenges in predicting product sales that fluctuate according to customer demand, and external factors can also affect sales of their products. To determine store sales predictions using the backpropagation method. From the research results with data training experiments it was found that the iterations process stopped when the epoch reached 6, time 0.00.01, performance 0.317, Gradient 0.359, and Validation Checks 6. Keywords: Prediction, Backpropagation, Neural Networks, Sales
INTRODUCTION TO HEALTHY LOW-SUGAR FOODS USING ARTIFICIAL NEURAL NETWORKS WITH THE PERCEPTRON METHOD Wirayudha, Wendy; Hastono, Tri; Mujahidin, Mujahidin
JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.vi.6

Abstract

With tecnology, the figuring system has become simpler. Tecnology are utilized to demonstrate the organic nerves of the human mind, Tecnology are prepared and shown the proper behavior like human nerve cells that can perceive basic examples. Counterfeit brain networks can perceive input examples and will give yield that matches the objective to be accomplished. In this review, the Perceptron technique was utilized to distinguish input designs as sound, low-cholesterol food varieties. This technique works by changing the contribution to the objective and changing the loads until no more mistakes are tracked down in every age. This side effect of serving a low-sugar diet shows that meat, fresh fish, and vegetables are food sources that contain high levels of sugar. Keyword: neural networks, perceptron, sugar.
Co-Authors Abdul Rouf Abelia, Nevanda Ahmad Riyadi Aliya Widiastuti, Pika Arisanto, Fauzan Bayu Gilang Purnomo Binurilfatikhah, Barikna Budisaputro, Crismantoro Ciptadi, Prahenusa Wahyu Danang Widyawarman Eko Harry Pratisto, Eko Harry Fahriza, Nayaka Anung Gunawan, Riyan Fahmi Harry Pratisto, Eko Hartiningsih, Subekti Janah, Siti Nuraitul Jati, Gema Kharisma KHOIRUL ANAM Laksana, Feri Febria Muhammad Fairuzabadi Mujahidin Mujahidin Nurmala Nurmala Pambudi, Brevi Istu Puspasari, Diah Ayu Rahmawati Sunaryo, Azzahra Rahyuni Rahyuni Rifangi, Ahmad Shidqi, Faishal Sulistyawati, Tyas Sunaryo, Azzahra Rahmawati Syah, Firdiyan Wahyu Ciptadi, Prahenusa Warniasih, Kristina Widyawarman, Danang Wirayudha, Wendy Wisnu Setiawan Wulandari, Via Febri wulansari, Brilian Yudhistira, Galih