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Arya Samudra Mahardhika
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Technology and Informatics Insight Journal
Published by Universitas Putra Bangsa Kebumen
ISSN : 28303210     EISSN : 28303210     DOI : 10.32639/tiij.v1i1
Core Subject : Science,
Computer Science & IT
The TIIJ (Technology and Informatics Insight Journal) publishes research from various topics in Informatic Technolgy and Computer Science, including but is not limited to the following topics: Mobile & Web Technology User Interface (UI) & User Experience (UX) Game Multimedia Machine Learning Artifficial Intelligence Internet Of Things Data Mining Network & Security Big Data & Storage System Strategy Information Systems Decision Support System Information Systems
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 74 Documents
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Analisis Keamanan Strategi Autentikasi JWT pada Arsitektur API Gateway-IoT: Pendekatan STRIDE Helmi Bahar Alim; Ari Subowo; Miftahul Huda
Technology and Informatics Insight Journal Vol. 5 No. 2 (2026): TIIJ
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/5bcc4a63

Abstract

Security authentication is a primary challenge in IoT systems relying on resource-constrained devices. JSON Web Token (JWT) is widely adopted as a stateless authentication mechanism, yet the choice of signing algorithm—RS256, ES256, HS256, or Delegated Auth—carries different security implications. This study analyzes four strategies using STRIDE on a Go/Echo-based API Gateway-IoT architecture with ESP8266 NodeMCU V3 devices, per system component. RS256 and ES256 have the smallest blast radius since private keys are per-device, while HS256 is vulnerable to mass exposure if the gateway database is compromised. Delegated Auth offers fastest revocation via gateway blacklist but inherits HS256's shared-secret weaknesses. Empirical data from 1,260 runs show ES256 requires 248.98 ms to sign a JWT (488× slower than HS256 at 0.51 ms), while RS256 is inoperable due to watchdog timer crashes (>8 seconds). These findings guide IoT system designers in selecting JWT strategies suited to their risk profile and device capabilities.
Klasifikasi Curah Hujan Harian Menggunakan Convolutional Neural Network (CNN) 1D Laili Meifa Ayuningtias; Muhammad Nizar Asagaf; Novi Ari Wardani; Anggit Gusti Nugraheni
Technology and Informatics Insight Journal Vol. 5 No. 2 (2026): TIIJ
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/cnskqe82

Abstract

Daily rainfall is an important climatic element for agriculture, water resource management, and hydrometeorological disaster mitigation. The temporal variability of rainfall makes its classification a challenging task. This study aims to develop a daily rainfall classification model using a one-dimensional Convolutional Neural Network (1D CNN) based on rainfall (RR) data from the Climatology Station of D.I. Yogyakarta for the period from July 1, 2025, to June 30, 2026, comprising 364 observations. The classification uses two classes, namely No Rain (RR = 0 mm) and Rain (RR > 0 mm), with a 30-day sliding window. The 1D CNN architecture consists of two convolutional blocks, batch normalization, ReLU, max pooling, global average pooling, a dense layer, L2 regularization, and dropout. Evaluation on 67 test samples yielded an accuracy of 74.63%, balanced accuracy of 66.84%, macro F1-score of 0.671, and ROC-AUC of 0.777. However, five-fold TimeSeriesSplit resulted in a balanced accuracy of 50.00%. These results indicate that the model performance is not yet stable due to the limited one-year dataset and the use of a single predictor variable.
Penerapan Long Short-Term Memory (LSTM) untuk Prediksi Konsentrasi PM2.5 di Kota Semarang Anom Pangestu; Putri Tripangesti; Nur Azizah; Anggit Gusti Nugraheni
Technology and Informatics Insight Journal Vol. 5 No. 2 (2026): TIIJ
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/hp1w8083

Abstract

Air pollution is an environmental problem with important implications for public health. Particulate Matter 2.5 (PM2.5) is a critical air-quality parameter because its fine particles can penetrate deeply into the respiratory system. This study develops a Long Short-Term Memory (LSTM) model to predict daily PM2.5 concentrations in Semarang City using historical observations. The research stages include preprocessing, Min-Max normalization, sequence generation with a 30-step time window, chronological 80:20 data splitting, LSTM training, and evaluation using MAE, RMSE, and MAPE. The model consists of two LSTM layers with 64 and 32 units, dropout of 0.2, the Adam optimizer, and MSE loss. The testing results produced an MAE of 5.7560, an RMSE of 7.4613, and a MAPE of 16.73%. These results indicate that LSTM can capture temporal patterns in PM2.5 data, although further evaluation using benchmark models and meteorological variables is needed.
Analisis Komparatif Protokol I2C, UART, dan SPI pada Sistem Mikrokontroler Berbasis Tinkercad Muh. Alaika Sulthonnudin; Muhammad Atiq; Raka Dian Mahardi; Rizal Agri Wahyuadi; Danang Hendrawan
Technology and Informatics Insight Journal Vol. 5 No. 2 (2026): TIIJ
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/e8sh3t14

Abstract

The selection of a serial communication protocol affects pin efficiency, connection topology, and data-exchange behavior in embedded systems. This study compares I2C, UART, and SPI through a Tinkercad-based simulation experiment using two Arduino Uno boards as Master and Slave. Three scenarios were evaluated: I2C with a temperature sensor, UART with a PIR sensor, and SPI with a photoresistor. Data were observed through the Serial Monitor and Slave-side LED responses. All observed functional scenarios consistently transferred the intended sensor status. I2C provided efficient wiring through SDA and SCL, UART offered a simple point-to-point configuration at 9600 bps, while SPI required more signal lines for synchronous communication. The findings indicate that protocol selection should consider topology, pin availability, and application requirements. Hardware experiments are still required to quantify latency, throughput, and transmission errors.

Page 8 of 8 | Total Record : 74

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