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Insect (Informatics and Security) : Jurnal Teknik Informatika
Published by Universitas Muhammadiyah Sorong
ISSN : 24769010     EISSN : 2614431X     DOI : https://doi.org/10.33506/insect.v10i2
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering
Insect (Informatics and Security) : Jurnal Teknik Informatika p-ISSN : 2476-9010 - e-ISSN : 2614-431X is a scientific journal which prioritizes the publication of articles related to informatics and Security issues that deal with informatics and security issues such as information technique, network and others. This is an opened-journal where everyone can submit their articles, as long as they are original, unpublished and not under review for possible publication in other journals. insect Journal is biannual publication issued in the month of March and October.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 128 Documents
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The Utilization of Internet of Things for Scheduled Monitoring and Automation of Rose Plant Maintenance Murtaziqoh, Binti; Huda, Miftahul
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 2 (2025): Oktober 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i2.4807

Abstract

An automated monitoring system for scheduled watering and fertilization of rose plants was developed using Internet of Things (IoT) technology to support smart and efficient plant maintenance. The ESP8266 microcontroller serves as the central control unit, integrated with a soil moisture sensor to detect water levels in the growing medium and a Real Time Clock (RTC) module to enable automatic scheduling of fertilization. The system is equipped with an LCD display that shows real-time information on soil moisture, ambient temperature, pump status, and fertilization timing. All data can be monitored remotely in real-time via the Arduino IoT Cloud platform using a smartphone. A buzzer is used as an indicator to provide notification when the fertilization pump is activated or deactivated. The system is designed to assist users with limited time for plant care, ensuring that water and nutrient requirements are consistently maintained. The system was developed using a prototyping approach, followed by functional testing through blackbox testing and User Acceptance Testing (UAT). Results indicate that all main features operate as intended, the user interface is intuitive, and the system demonstrates stable performance. Therefore, this system provides an effective and practical solution for automated, schedule-based rose plant care with remote monitoring capabilities.
SISTEM INFORMASI GEOGRAFIS PEMETAAN POTENSI LIKUEFAKSI DI PROVINSI GORONTALO Paputungan, Febrianti; Abdillah, Tajjudin; Ahaliki, Budiyanto; H. Dai, Roviana
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 2 (2025): Oktober 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i2.4811

Abstract

This research discusses the development of a Geographic Information System (GIS) using a prototype-based method for mapping liquefaction potential in Gorontalo Province. Liquefaction is a geological phenomenon that occurs when soil loses its strength due to earthquake tremors, potentially causing severe damage to infrastructure and buildings. The main objective of this study is to provide spatial information related to areas at risk of liquefaction by utilizing web-based GIS technology. The system was designed through the stages of the prototype method, starting from communication, data collection, rapid design, initial prototype development, to evaluation and refinement based on user feedback. The research focused on Gorontal City, covering 48 villages, where disaster parameters such as wave, vibration, ground cracks, land subsidence, landslides, and liquefaction were the main concerns. The system evaluation was conducted using the System Usability Scale (SUS) method on 10 respondents, consisting of practitioners in the fields of geophysics and disaster management. The test results showed an average score of 73, which was categorized as Acceptable with a grade of C, and the user satisfaction level was in the Good category based on the adjective rating scale. The majority of users stated that the system was easy to understand, the interface navigation was intuitive, and the interactive map visualization feature was very helpful in the analysis process. Overall, the results of this study indicated that the developed system was not only capable of visualizing liquefaction potential spatially but also had a good level of acceptance and usability among users. This system was considered effective and suitable for use as a tool in disaster mitigation planning, spatial management, and risk-based decision-making for land disasters in Gorontalo Province.
DETEKSI PENYAKIT DAUN CABAI MENGGUNAKAN KOMBINASI GLCM DAN HSV DENGAN KLASIFIKASI SVM Nurmadinah, Nurmadinah; Wajidi, Farid; Arifin, Nurhikma
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 2 (2025): Oktober 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i2.4820

Abstract

Chili pepper is one of the high-value horticultural commodities in Indonesia. However, this plant is highly susceptible to various leaf diseases such as yellow virus, leaf spots, leaf curl, nutrient deficiency, and whitefly infestation. Manual disease detection is often inaccurate and time-consuming, necessitating an automated solution that is more efficient and effective. This study aims to detect chili leaf diseases using texture and color features extracted from leaf images. This approach enables farmers to easily identify the type of disease affecting chili plants, allowing for faster and more precise control measures. The research utilizes 1,150 chili leaf images divided into five disease categories—yellow virus, leaf spot, leaf curl, nutrient deficiency, and whitefly—each consisting of 230 images (184 training and 46 testing data). Feature extraction is performed on color features using the Hue, Saturation, Value (HSV) color space and on texture features using the Gray-Level Co-occurrence Matrix (GLCM) method. For classification, the Support Vector Machine (SVM) with Radial Basis Function (RBF) kernel is employed. Parameter testing of C (1, 5, and 10) and Gamma (0.1, 0.01, 0.001, 0.0001, and 0.00001) shows that the best performance is achieved at angles 0° and 135°, with C=10 and γ=0.1, yielding a classification accuracy of 91.30%. These results indicate that the combination of GLCM and HSV features, along with optimal RBF kernel parameter tuning, effectively enhances classification accuracy.
Klasifikasi Kelayakan Penerima Bantuan Sosial dengan Metode K-Nearest Neighbors Rosyad, Nyimas Siti; Setiawan, Herri; Irvani, Muhammad Haviz
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 2 (2025): Oktober 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i2.4918

Abstract

Social assistance distribution in Indonesia still faces various challenges, including inaccurate recipient data, complex bureaucracy, and lack of transparency, often resulting in misdirected aid. This study aims to optimize the application of the K-Nearest Neighbors (K-NN) method for classifying the eligibility of social assistance recipients by testing several data train-test split ratios and variations of the parameter k. The primary objective is to develop an accurate and reliable classification model to support policy-making in social assistance distribution at Kuto Batu Village, Palembang. The dataset includes citizens' socioeconomic attributes and undergoes preprocessing steps such as data cleaning, encoding, and handling missing values before being applied to the K-NN algorithm. Four data split scenarios are tested—80/20, 70/30, 60/40, and 50/50—to determine the optimal configuration. Evaluation results show model accuracies of 97.44%, 98.30%, 97.10%, and 98.00% for the respective splits. The 70/30 split yields the best performance with 98.30% accuracy, 100% precision, 98% recall, and 98.98% F1-score. This ratio is selected as the optimal configuration due to its balance between sufficient training data for pattern learning and adequate test data for evaluating model generalization. These findings demonstrate that the K-NN method is effective in objectively distinguishing eligible and ineligible recipients and has strong potential as the foundation for a decision support system to improve transparency and targeting accuracy in social assistance programs.
Implementasi Metode Performance-Based Asset Management Dalam Sistem Informasi Manajemen Aset Sekolah (SIMAS) Ritonga, Nola Putri; Irawan, Muhammad Dedi
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 2 (2025): Oktober 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i2.4974

Abstract

School assets play a vital role in supporting learning activities and administrative operations, yet many schools still manage assets manually, leading to data inaccuracy, difficulty in monitoring conditions, and inefficiency in reporting. This study aims to design and implement a School Asset Management Information System (SIMAS) using the Performance-Based Asset Management (PBAM) method to address these challenges. The research applies a qualitative approach through observation, interviews, and literature study to identify asset management problems in schools. The system was developed using the Waterfall model, consisting of analysis, design, implementation, testing, and documentation. PBAM principles were integrated to support planning, maintenance, monitoring, and continuous improvement of asset utilization. The results demonstrate that SIMAS provides structured asset registration, facilitates real-time monitoring, generates performance-based reports, and issues automatic notifications for urgent maintenance. This contributes to improving decision-making, enhancing efficiency in school asset management, and ensuring long-term sustainability of educational resources. The findings highlight that the application of PBAM in the education sector, particularly in schools, provides a novel contribution compared to previous studies that mainly focused on asset recording and depreciation methods
Implementation of Augmented Generation Retrieval Method in Chatbot for Contract Customer Service Automation Rachman, Muhammad Roihan; Rosidin, Muhammad; Sulistyo, Wicaksono Yuli
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 2 (2025): Oktober 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i2.4992

Abstract

The rapid advancement of artificial intelligence technology has expanded its applications across various domains, including customer service. Property owners often face challenges in promptly and consistently responding to inquiries from potential tenants, necessitating an automated information service solution. This study aims to implement the Retrieval-Augmented Generation (RAG) method in a chatbot to enhance customer service effectiveness in boarding house management. The research methodology involves developing a RAG-based chatbot prototype that integrates information retrieval from a knowledge database with the generative capabilities of a language model. Experimental results indicate that the application of the RAG method improves the relevance and accuracy of responses provided to prospective tenants. The RAG-based chatbot demonstrates faster response times compared to manual service, thereby reducing the workload on property owners. The implementation of RAG in the chatbot proves effective in automating customer service for boarding houses, offering added value to both property owners and potential tenants through fast, relevant, and easily accessible service.
Rancang Bangun Sistem E-Absensi Web Menggunakan Laravel (Studi Kasus: RSUD Labuha) Lua, Muhammad Febriyan; Sulistyo, Wicaksono Yuli
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 2 (2025): Oktober 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i2.4994

Abstract

A common problem in attendance management is the manual system employed at RSUD Labuha, which is prone to inefficiencies, human errors, and difficulties in real-time monitoring. This study aims to address these issues by designing and developing a web-based e-attendance system using the Laravel framework to improve the efficiency and accuracy of employee attendance management. The system is intended to provide an automated solution for digital attendance recording, real-time monitoring, and integrated reporting. The research adopts the Waterfall methodology, which provides a structured and sequential approach to system development. Data collection was conducted through direct observation at RSUD Labuha to identify workflow patterns and system requirements. The system is developed using PHP programming language integrated with the Laravel framework. All functionalities are tested in a localhost environment using Black Box Testing to ensure validity and reliability. The result of this study is a fully functional e-attendance system successfully implemented and tested in the localhost environment. All core features, including digital attendance recording, reporting, and dashboard management, are proven to be operational and effective. The primary limitation of this study is the inability to conduct full-scale implementation and testing in a live hosting environment due to technical and administrative constraints. Nevertheless, this web-based e-attendance system successfully fulfills the research objectives by delivering a deployable digital solution tailored for attendance management at RSUD Labuha. This study contributes a customized system design for the institution, with its architecture and findings serving as a reference for similar future projects.
XceptionNet-based Digital Image Forensics with DFRWS Framework for Deepfake Detection Akbar, Muh. Hajar Akbar; Jimsan, Jimsan; Yahya, Yahya; Ilcham, Ilcham; Nasrullah, Nasrullah
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 2 (2025): Oktober 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i2.4996

Abstract

This study presents a novel approach to deepfake detection by integrating the DFRWS (Digital Forensics Research Workshop) framework with a deep learning architecture based on XceptionNet. The rapid advancement of deepfake technology poses a significant threat to digital media authenticity, necessitating robust and reliable detection methods. In this work, we implement a fine-tuned XceptionNet model enhanced with additional regularization techniques, specifically focusing on facial feature analysis. The model is trained on a balanced dataset comprising 2,000 images, equally divided between authentic and deepfake samples. Experimental results demonstrate exceptional performance, achieving an accuracy of 91.25%, precision of 88.73%, recall of 94.50%, and an AUC score of 0.9710. The proposed model shows a significant improvement in detecting subtle manipulation artifacts while maintaining computational efficiency, offering a promising solution for practical deepfake identification in real-world scenarios.

Page 13 of 13 | Total Record : 128

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