Journal of Computing Research and Innovation : ISSN 2600-8793

Call for Papers for our Vol 10, No 2, September 2025 issue.

This research by Norpah Mahat and Siti Fatimah Amalina provides practical solutions for retailers facing real-world challenges.

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✨ Predicting Beehive Health: Environmental Insights ✨

Stingless bees are vital pollinators, and their health is influenced by environmental factors such as temperature, solar irradiance, and rainfall. In their latest paper, Noor Hafizah, Mohd Amri, Muhammad Ariff, and Salehuddin investigate the best approaches in meliponiculture to predict beehive health and productivity based on environmental variables and bee activity data.

The study utilized real-time monitoring of temperature, humidity, rainfall, beehive weight, and bee activity traffic, storing the data on Google Spreadsheet from January 6th, 2024, to February 5th, 2024, at 15-minute intervals, resulting in 2,577 data points. Various deep learning approaches were applied to analyze the data for the best RMSE performance, with a single-layer LSTM model of 50 units achieving the lowest RMSE of 0.039, accurately predicting beehive weight.

This predictive capability can help farmers determine the optimum harvesting time based on weight forecasts, ensuring maximum yield and quality. Moreover, the method provides early warnings of adverse conditions, such as swarming or potential threats, significantly enhancing beekeepers' ability to protect their colonies, ensuring both the well-being of bee populations and farmers' livelihoods.

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✨ Indonesia: The Ring of Fire and Its Economic Battle ✨

Imagine a nation cradled by the most powerful natural forces on Earth—Indonesia, where beauty and danger coexist. The Ring of Fire isn't just a geological term here; it's a daily reality, with active volcanoes, storms, and floods shaping the landscape and the lives of millions.

The latest study by Tally Purwa, Wahyu Wibowo, and Elya Nabila uncovers the real impact of these natural disasters on Indonesia's economic growth across 34 provinces, from 2018 to 2022. The authors examined the effects of hydrological, meteorological, climatological, and geophysical disasters on annual per capita real output growth—taking into account not just damaged infrastructure, but also the number of people affected.

Using advanced econometric techniques, including panel data analysis and the innovative P-spline model, the study delves deep into understanding the non-linear relationship between disasters and economic growth. The findings reveal that the impact varies, depending on factors like the Human Development Index (HDI) and financial capacity.

Want to know which provinces are weathering the storm, and which need more support? The answers could reshape Indonesia's disaster resilience strategy. Click to see how this research changes the understanding of natural disasters' economic toll.

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Read a paper which explores a technique on early detection of Polycystic O***y Syndrome which affects women. Learn about the PSO-SVM prediction system that boasts an accuracy of over 90%

Polycystic O***y Syndrome (PCOS) Prediction System Using PSO-SVM A prevalent and complicated gynaecological condition that affects women’s reproductive health is PCOS. However, delayed diagnosis and treatment are frequently caused by a lack of understanding of its signs and symptoms. To help users and specialized physicians identify and anticipate ovarian cysts...

What if you could predict river water quality with almost 90% accuracy?

Read the latest research which unveils how Artificial Neural Networks (ANN) are transforming environmental monitoring.

Prediction of River Water Quality Based on Artificial Neural Network In machine learning, prediction is a method that is supported by historical data and is often used in various fields. It can be used to predict quality for water taken from river, which is a major source of life particularly for human. Water contamination may be a result of civilization and the rapi...

Assalamualaikum & Salam Sejahtera,

Prof/Prof Madya/Dr/Tuan/Puan,

We are pleased to announce that JCRINN Vol 9 No 1 (2024) March Issue is now published and available online.

Feel free to access, read & cite our articles at:
https://jcrinn.com/index.php/jcrinn/issue/view/24

JCRINN is currently indexed in MyCite, DOAJ, EBSCO, CrossRef & Google Scholar.

Thank you for the endless support.

Best regards,
JCRINN Editorial Team
KPPIM, UiTM Perlis

Congratulations! JCRINN is now indexed in MyCite!

Assalamualaikum and Greetings,

YBhg. Datuk Emeritus / Datin/ Prof. / Prof Madya / Dr. / Tuan / Puan,

We would like to invite you to contribute your valuable research works to the Journal of Computing Research and Innovation (JCRINN) for Vol 9 No 1 (March 2024) issue; e-ISSN: 2600-8793.

There is no charge for submitting a paper to this journal. Further information can also be found in the attached poster or via this link: https://jcrinn.com/index.php/jcrinn/about

For submissions, please click on this link: https://jcrinn.com/

Important dates:
Call for papers: 1 November 2023
Date for final paper submission: 31 January 2024
Publication process: 1-29 February 2024
Online publication: 10 March 2024

You are also welcome to access, read and cite our articles published in the past issues via this link: https://jcrinn.com/

JCRINN is currently indexed in MyCite, DOAJ, EBSCO & Google Scholar.

Best regards,
JCRINN Editorial Team
KPPIM, UiTM Perlis.

The Determination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic | Journal of Computing Research and Innovation The Determination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic Authors Mohd Fazril Izhar Mohd Idris Universiti Teknologi MARA, Perlis Branch, Arau Campus Nur Afifah Zainol Abidin Universiti Teknologi MARA, Perlis Branch, Arau Campus Khairu Azlan Abd Aziz Universiti Tek...