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Journal : International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)

Future Trends in Pharmaceuticals: Investigation of the Role of AI in Drug Discovery, 3D Printing of Medications, and Nanomedicine Paneru, Biplov; Paneru, Bishwash
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol 4 No 2 (2023): INJIISCOM: VOLUME 4, ISSUE 2, DECEMBER 2023
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v4i2.11259

Abstract

The pharmaceutical sector has to deal with issues like high costs, difficult diseases, and the demand for tailored therapy. The transformational potential of AI, 3D printing, and nanomedicine is examined in this paper. Drug development is revolutionized by AI, which also predicts effectiveness and personalizes therapies. Tailors, prescriptions, and complex documents can all be 3D printed to help with compliance. Nanoparticles are used in nanomedicine to deliver drugs more precisely and enhance solubility. Future themes include AI-driven target identification and individualized treatment; the effectiveness and role of 3D printing in personalized medicine; and improved medication delivery through nanomedicine. These developments promise to alter healthcare, which will help a lot of people. The study results offers a thorough examination of upcoming trends in the pharmaceutical industry and similarly discusses developments in 3D printing and nanomedicine.
Exploring the Nexus of User Interface (UI) and User Experience (UX) in the Context of Emerging Trends and Customer Experience, Human Computer Interaction, Applications of Artificial Intelligence Paneru, Biplov; Paneru, Bishwash; Poudyal, Ramhari; Bikram Shah, Krishna
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol 5 No 1 (2024): INJIISCOM: VOLUME 5, ISSUE 1, JUNE 2024
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v5i1.12488

Abstract

The complexities of User Interface (UI) and User Experience (UX) design are explored in this research paper, along with their respective functions, areas of overlap, and the changing field of customer experience. In the digital age, where technology is developing at a rapid pace, designing innovative and user-focused digital products requires an understanding of the dynamic interplay between UI and UX. This research also examines how emerging trends in the UI/UX field will affect overall customer satisfaction. Additionally, this paper delves into applications of artificial intelligence (AI) in the domains of human-computer interaction (HCI), user experience (UX), and emerging trends in these fields
A Low-Cost Prototype for Edge-Computing Powered Smart Display Board Paneru, Biplov; Paneru, Bishwash; Poudyal, Ramhari; Shah, Krishna Bikram Bikram; Poudyal, Khem Narayan
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol 5 No 2 (2024): INJIISCOM: VOLUME 5, ISSUE 2, DECEMBER 2024
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v5i2.12508

Abstract

This study examines how Edge Computing technology, through the creation and use of smart notice boards, has changed the way that organizations communicate. Notice boards have historically relied on manually operated or wired electronic devices, which provide drawbacks like slowness, security flaws, and a lack of adaptability. But a new way of looking at notice board systems has developed with the advent of Edge Computing, which is driven by hardware like the ESP8266 server and communication protocols like MQTT (Message Queuing Telemetry Transport). We explore the advantages of Edge Computing in the context of smart notice boards in this study, emphasizing its capacity to support real-time data processing, improve security via local data management, login credentials, and provide users with user-friendly interfaces for content management. Smart notice boards can outperform traditional systems in terms of efficiency, security, and adaptability by utilizing the concepts of Edge Computing.
The Use of MATLAB Programming to Compare Experimental vs Modeled PEMFCs using the Nernst and Butler-Volmer’s Equation-Based Mathematical Models Paneru, Bishwash; Paneru, Biplov; Pandey, Nitish; Neupne, Kabita; Adhikari, Pukar; Poudyal, Ramhari
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 1 (2025): INJIISCOM: VOLUME 6, ISSUE 1, JUNE 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i1.13414

Abstract

For the analysis of Proton Exchange Membrane Fuel Cell (PEMFC’s) efficiency, the Nernst equation and Butler-Volmer's concepts were used. The mathematical models using both equations were developed in MATLAB and compiled. The results generated by the output current based on the input parameters of the experimental data were compared with the experimental results for the two modelled PEMFCs. The parameters temperature, pressure, hydrogen concentration, and oxygen concentration at different values of external resistance were used to determine the change in output current in both models built in MATLAB. This sensitivity analysis generated negative output current values and highly dissimilar values with the experimental results for the same input parameters for both models due to the less use of input parameters in the model. The results showed that the PEMFC's performance is affected by most parameters, and many influencing parameters must be used to develop a perfect mathematical model of the PEMFC.
Enhancing Water Sustainability with AI methods: Analysis and Prediction of Seasonal Water Quality of Nepal Using Machine Learning Approach: Prediction of Seasonal Water Quality of Nepal Using Machine Learning Approach Paneru, Biplov; Paneru, Bishwash; Sapkota, Sanjog Chhetri
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 1 (2025): INJIISCOM: VOLUME 6, ISSUE 1, JUNE 2025
Publisher : Universitas Komputer Indonesia

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

Abstract

Water quality is a crucial concern worldwide, including in Nepal, where efficient monitoring is essential for safe drinking water and preventing waterborne illnesses. This study employs machine learning to analyze and forecast the seasonal water quality index (WQI) of Nepalese well water. Hybrid models with nested cross-validation were introduced, using methods like CatBoost, Decision Tree, Logistic Regression, MLP-GRU, and LSTM-GRU hybrids. Performance metrics included R², accuracy, and RMSE. CatBoost achieved the highest classification accuracy (99.35%), while the LSTM-GRU hybrid excelled in capturing complex temporal patterns. Nested cross-validation demonstrated 96.13% accuracy with low standard deviation. Additionally, SHAP analysis identified key predictive factors using the SVM model. This research highlights machine learning’s potential in predicting and managing water quality effectively