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Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi)
Published by Universitas Udayana
ISSN : 22523006     EISSN : 26852411     DOI : https://doi.org/10.24843/JIM
Core Subject : Science,
Computer Science & IT
The journal publishes work from all disciplinary, theoretical and methodological perspectives. It is designed to be read by researchers, scholars, teachers and advanced students in the fields of Information Systems and Information Science, as well as IT developers, consultants, software vendors, and senior IT executives seeking an update on current experience and future prospects in relation to contemporary information and communications technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 5 Documents
 1 
Search results for , issue "Vol 12 No 2 (2024): Vol. 12, No. 2, August 2024" : 5 Documents clear
Automatic Pet Feeder Rotational Model Using MQTT and Mobile Application Mahadiputra, Putu Gede Krisna; Suarjaya, I Made Agus Dwi; Wibawa, Kadek Suar
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 12 No 2 (2024): Vol. 12, No. 2, August 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2024.v12.i02.p04

Abstract

Automatic pet feeding systems with dispenser models have limitations on the type of feed that is only accomodate dry food, while pets (cats) with a tendency consuming dry food are prone to disease in the urinary system. This research focuses on designing a rotational model automatic pet feeding system that can accommodate both dry food and wet food, also set the feeding time through mobile applications via MQTT by utilizing an ESP32 microcontroller connected to a 5V stepper motor, RTC and load cell sensor. The system has success rate about 90% on pet feeding automation, but the container upper fold has difference angel about 5.4o with the expected position (error rate 6%). Every weight sensor has the successive error rates are 1.41% (1st feed block), 1.91% (2nd feed block), and 0.68% (3rd feed block). The Android application takes only 1-1.5 seconds to displaye the latest feed weight data.
Application of Fuzzy Logic in PEOPLES Framework for Community Resilience Measurement in Flood Disaster Wahyono, Herry; Khumaidi, Ali; Setyawati, Kiki
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 12 No 2 (2024): Vol. 12, No. 2, August 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2024.v12.i02.p05

Abstract

Assessing community resilience is challenging due to the complexity of influencing factors. Various frameworks and models, such as the PEOPLES framework, have been developed for both theoretical and practical applications. In dealing with uncertainty, selecting the right model is crucial. While probabilistic approaches are common, they can be insufficient. Fuzzy logic, as an uncertainty model, offers a solution. This study explores community resilience in Bekasi City using fuzzification and trapezoidal membership functions for input variables categorized as low, medium, and high. The output uses triangular membership functions with four degrees: low, medium, high, and very high, ranging from 43-129. Fuzzy rule formulation applies the "minimal" function with 2,187 basic rules. The test results show high accuracy, with predictions for six regional segments matching expert assessments.
Optimization of Preprocessing Spectra and Modeling Using Machine Learning for Prediction of Agricultural Soil Nutrients Kartika, Harry Dwiyana; Hikmah, Nur; Khumaidi, Ali
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 12 No 2 (2024): Vol. 12, No. 2, August 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2024.v12.i02.p01

Abstract

Research that addresses soil nutrient prediction with NIR mostly uses PLS algorithms. The advent of machine learning (ML) has resulted in automated learning methods to find the optimal model. Preprocessing in the development of prediction models is an important part. Spectrum preprocessing aims to eliminate uninformative sources of variance. Research on the best preprocessing methods is often determined through trial-and-error. The preprocessing approach compares a number of preprocessing operations but this method is less efficient. This research proposes the application of ML to find the best combination of preprocessing operations quickly and simultaneously. Preprocessing test results using 11 operators resulted in 2,112 combinations. The use of preprocessing techniques can improve the performance of all algorithms (RF, SVR, PLS, LR, and MLP). K soil element testing has the lowest error in LR, Mg, Ca, P, and pH soil element testing using MLP has the best performance and in N soil element testing the best performance in RF.
Designing a Prototype User Interface Website into Mobile Form using the Goal-Directed Design Method (Case Study: Population Administration Service Website) Wirayuda, I Made Bagus Surya; Sukarsa, I Made; Rusjayanthi, Ni Kadek Dwi; Wisswani, Ni Wayan
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 12 No 2 (2024): Vol. 12, No. 2, August 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2024.v12.i02.p02

Abstract

The Population and Civil Registration Office in an Indonesian district has introduced a web-based service system that enables easy access for the public anytime and anywhere. This website offers services such as birth certificate issuance, electronic ID cards (e-KTP), and various other civil registration documents. Despite advancements in service delivery, challenges persist, particularly regarding inadequate interface design that often confuses users. Through heuristic evaluation, it was found that 12 aspects require improvement with average scores below 2.50. Therefore, a redesign is necessary to address user interface issues. The redesign employs the Goal-Directed Design (GDD) method to provide better recommendations for website development. Following these improvements and subsequent heuristic evaluations, there was a significant increase in average improvement scores, reaching 4.13.
OWASP Framework and OCTAVE Method for Penetration Testing Web Apps of College X Darmayuda, I Putu Gede Angga Mas; Sasmita, Gusti Made Arya; Putri, Gusti Agung Ayu
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 12 No 2 (2024): Vol. 12, No. 2, August 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2024.v12.i02.p03

Abstract

Information system security is a major focus for many organizations as increasingly sophisticated cyberattacks threaten the confidentiality, integrity and availability of online services. This research aims to identify and assess vulnerabilities in web applications at College X by using the OWASP framework and OCTAVE method. OWASP is used to identify common and critical web vulnerabilities, while OCTAVE provides a holistic understanding of an organization's security risks. Testing was conducted with the tools and techniques recommended by both frameworks. The results found a number of vulnerabilities, including two low-level and one high-level. The findings underscore the importance of systematic penetration testing and risk assessment to keep web applications secure in educational environments.

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