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INDONESIA
Journal of Informatics and Computer Engineering Research
Published by Politeknik Negeri Ujung Pandang
ISSN : -     EISSN : 30896320     DOI : https://doi.org/10.31963
Core Subject : Science,
Computer Science & IT
Journal of Informatics and Computer Engineering Research PNUP is research journal as a forum for scientific communication between academics, researchers and practitioners in disseminating research results in the fields of Information System, Networking, Mobile Applications, Software Engineering, Web Programming Mobile Computing, Science Application, Virtual Reality, Multimedia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 20 Documents
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CATTLE DISEASE DIAGNOSIS SYSTEM USING RANDOM FOREST CLASSIFICATION METHOD Syam, Muh. Fadhil; Utomo, Muhammad Nur Yasir; Tungadi, Eddy
Journal of Informatics and Computer Engineering Research Vol. 2 No. 1 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i1.5563

Abstract

Cattle farming plays an important role in Indonesia's economy, but its productivity can decline due to livestock health issues. To address this, this study develops a cattle disease diagnosis system based on machine learning using the Random Forest classification method. The system helps farmers identify diseases independently based on input symptoms. The model is built using the Random Forest algorithm, trained on 1745 primary data obtained from the Barru Regency Department of Agriculture. The data undergoes a comprehensive pre-processing stage, including cleaning to remove inconsistencies, One-Hot Encoding for categorical feature transformation, and class balancing using the Synthetic Minority Over-sampling Technique (SMOTE) to ensure fair representation of all disease categories. Model evaluation using a Confusion Matrix demonstrates a high accuracy of 91%, indicating strong predictive performance. Based on the model, a mobile application based on Android is developed to assist farmers in the early detection of cattle diseases.
APLIKASI MANAJEMEN DINAS PARIWISATA, PEMUDA, DAN OLAHRAGA KABUPATEN PANGKAJENE KEPULAUAN Nur Inda Sari; Raharjo, Muh. Fajri; Amhar Davi Dewantara
Journal of Informatics and Computer Engineering Research Vol. 2 No. 1 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i1.5564

Abstract

The Pangkajene Kepulauan (Pangkep) Regency Tourism, Youth, and Sports Office Management Application is an information system that includes four main features, which are adjusted to the four fields under the auspices of the Pangkep Regency Tourism, Youth, and Sports Office, namely: Tourism, Creative Economy, Youth, and Sports. This application is designed as a form of e-government implementation, with the aim of realizing good governance through the use of technology. This information system plays an important role in increasing organizational efficiency, while facilitating the use and processing of data. The results of the implementation and testing of this application show that the application was successfully developed according to the initial planning and functions as it should. This application acts as a management system for the admin of the Pangkep Regency Tourism, Youth, and Sports Office, as well as being a source of information for the public regarding Tourism, Creative Economy, Youth, and Sports in Pangkep Regency. This is proven through testing using the black box testing method on the admin which produces positive results, as well as testing with the SUS (System Usability Scale) method which gives a grade A with an Excellent interpretation at the level of public satisfaction. In the future, it is hoped that this application will continue to be useful for the Tourism, Youth, and SportsOffice of Pangkep Regency as an initial step towards implementing egovernment, as well as becoming an information system that makes things easier for the public
IMPLEMENTASI TF-IDF DAN KNN PADA REKOMENDASI JURNAL OTOMATIS Jonathan Wijaya; Fernando Sugianto Putra; Hafiz Irsyad; Abdul Rahman
Journal of Informatics and Computer Engineering Research Vol. 2 No. 1 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i1.5565

Abstract

In the rapidly evolving digital era, finding relevant journals has become a challengefor students, researchers, and academics. The easy access to journal publications hasled to an increase in the number of available journals. Therefore, there is a need fora recommendation system based on related journals automatically using the TF-IDFand K-Nearest Neighbor (KNN) approaches with cosine distance. The goal is toenhance the efficiency and accuracy of journal searches. The first step is to process the text taken from the titles and abstracts of the journals into numerical vectors using TF-IDF to determine the importance of words in each document. Then, KNN is used to find the journals that are most similar to the specified journal based on the distance between TF-IDF vectors. Precision@3 is used to evaluate the results of the top three recommendations. The evaluation results show highly relevant recommendations, with a Precision@3 value of 1. This system has successfully improved the efficiency and accuracy of automatic journal searches for relevant content
PENGEMBANGAN SISTEM ZONASI PADA APLIKASI SAPEDA MADRASAH ALIYAH KABUPATEN PANGKEP MENGGUNAKAN METODE HAVERSINE FORMULA Muh. Fajri Raharjo; Utomo, Muhammad Nur Yasir; Ramadhani, Ainun Zulkiah
Journal of Informatics and Computer Engineering Research Vol. 2 No. 1 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i1.5566

Abstract

The SAPEDA application in Pangkep Regency currently lacks a feature that allows prospective students to determine the nearest school to their residence. This has led to an inefficient school selection process and unequal distribution of students. The aim of this research is to develop a zoning system for the SAPEDA application at Madrasah Aliyah in Pangkep Regency. The study employs the Haversine Formula in the zoning feature to calculate the distance between students' homes and nearby schools, offering an effective approach to improve the SAPEDA system. This will help prospective students choose the nearest school, reduce transportation costs, and promote equitable access to education. The research procedure includes a literature review, interviews, system design, system development, and testing. Results from a questionnaire based on the TAM (Technology Acceptance Model) show that the system is well-received and positively evaluated by respondents, with an average score of 90.62%, categorized as Excellent. This indicates, that the system has successfully provided benefits, ease of use, and has met users' expectations across various evaluated aspects, resulting in a high level of satisfaction
PENGEMBANGAN SISTEM DATA WAREHOUSE DAN WEB API UNTUK DUKUNGAN PENGAMBILAN KEPUTUSAN PRODUKSI BUAH DI SULAWESI SELATAN Ismi Batari Agung; Agustinus Rioland; Dewantara, Amhar Davi; Rini Nur
Journal of Informatics and Computer Engineering Research Vol. 2 No. 1 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i1.5567

Abstract

South Sulawesi possesses significant potential in the horticultural sector, particularly for leading fruit commodities such as jackfruit, mango, and duku, capable of meeting both domestic and international market demands. However, the scattered nature ofproduction data across various districts hinders effective analysis and strategic decision-making. This project develops an integrated system, comprising a data warehouse and a Web API, to present fruit production data systematically, structurally, and accessibly. The data warehouse is designed using a star schema, with a fruit production fact table that includes calculations like dominance percentages and annual growth. Dimension tables consist of time, location, fruit type, and sub-district, all supporting in-depth analysis. A Web API is developed to provide real-time and standardized access to analysis results. This system is expected to support data-driven decision-making for government agencies, researchers, and horticultural industry players in optimizing the sector's potential.
ANALISIS PENCARIAN TEKS EMOSI DALAM TWEET BERBAHASA INDONESIA MENGGUNAKAN TF-IDF DAN COSINE SIMILARITY Saputra, Adi; Ferdilian, M Lazuardi; Irsyad, Hafiz; Rahman, Abdul
Journal of Informatics and Computer Engineering Research Vol. 2 No. 2 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i2.6012

Abstract

Social media platforms such as Twitter present a wide range of emotional expressions from users in short and informal texts, which pose significant challenges for automated analysis. This study develops a search system for Indonesian-language tweets that identifies user emotions based on semantic similarity to a given text query. The method employs Term Frequency-Inverse Document Frequency (TF-IDF) for feature weighting and Cosine Similarity to measure textual similarity. Preprocessing stages including normalization, tokenization, stopword removal, and stemming are applied to enhance text representation accuracy. The system is tested using emotion-based queries and returns relevant tweets with high semantic match scores. Experimental results show that 50% of the top retrieved tweets match the expected emotional context. This approach proves effective in detecting emotions in short texts and offers potential for further development in sentiment-driven opinion analysis and emotion-aware recommendation systems
PERANCANGAN INCUBATOR TELUR PUYUH OTOMATIS BERBASIS IOT Ardiniansyah, Alvin; Nofitasari, Nofitasari; Riyanto, Bagus; Hariansyah, Muhammad
Journal of Informatics and Computer Engineering Research Vol. 2 No. 2 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i2.6013

Abstract

The success rate of quail egg hatching is highly dependent on the stability of temperature, humidity, and frequency of egg turning during the incubation period. Conventional incubators that are still widely used by small farmers tend to be less efficient because they rely on manual supervision, which can cause fluctuations in the incubation environment. Therefore, this study aims to design and compare the performance of an automatic quail egg incubator based on the Internet of Things (IoT) with a conventional manual system. The prototype of the automatic incubator uses an ESP32 microcontroller, DHT22 sensor, servo motor for egg rotation, and the Blynk application for remote monitoring. Testing was carried out for 18 days by comparing temperature, humidity, hatching power, and hatching weight between the two systems. The results showed that the IoT incubator was able to maintain a stable temperature in the range of 37.5–38°C with a fluctuation of ±0.3°C and produced a hatching power of 88%, higher than the conventional incubator which only reached 68%. The average hatching weight in the automatic incubator was also greater, namely 7.4 grams compared to 7.0 grams in the manual system. Based on these results, the application of IoT technology has been proven to increase the efficiency of the hatching process and reduce the need for manual monitoring. This innovation can be an appropriate solution in modernizing small to medium-scale poultry farms.
WEB-BASED PUBLIC RELATIONS CHATBOT USING LARGE LANGUAGE MODELS AND THE RETRIEVAL-AUGMENTED GENERATION Nuzul1, Andi Muhammad; Utomo, Muhammad Nur Yasir; Indrabulan, Tantri
Journal of Informatics and Computer Engineering Research Vol. 2 No. 2 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i2.6014

Abstract

The Public Relations and Protocol Working Group (Pokja Humas) of Politeknik Negeri Ujung Pandang (PNUP) faces challenges in providing interactive and responsive information services. The official website functions only as a one-way medium, and the high volume of repeated questions causes delays in response time. This study developed a public relations chatbot based on Large Language Model (LLM) using the Retrieval-Augmented Generation (RAG) method to improve information services. The chatbot data were obtained through web scraping of the PNUP official website and internal PDF documents, which were processed through preprocessing, text splitting, and embedding using Hugging Face and stored in a FAISS vectorstore. The system was built using FastAPI as the backend and web-based interfaces for admin and user interactions. The results show that User Acceptance Test (UAT) involving 35 respondents achieved 91.93% acceptance (very good). The Retrieval-Augmented Generation Assessment (RAGAS) evaluation achieved average scores of 0.89 for Faithfulness, 0.91 for Answer Relevancy, 0.89 for Context Precision, and 0.89 for Context Recall, indicating that the chatbot produced relevant and contextually accurate answers.
RANCANG BANGUN APLIKASI WEBSITE YAYASAN BINA INSAN CENDIKIA LUKMANUL HAKIM KABUPATEN GOWA W. Hasyim , Muhammad Miftahurrahman; astian, Alvian B; Muh. Ahyar
Journal of Informatics and Computer Engineering Research Vol. 2 No. 2 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i2.6016

Abstract

This study aims to design and develop an official website for the Bina Insan Cendikia Lukmanul Hakim Foundation by utilizing Visual Studio Code technology and the PhpMyAdmin database. The formulation of the problem raised in this study includes how to design an effective website in presenting foundation information and providing convenience for the public to participate through online donations. The benefits of developing this website include increasing the transparency of the foundation, facilitating public access to information, and encouraging active participation in foundation programs. As a solution, this study presents essential features such as foundation profiles, donation pages, and registration, all of which are designed to meet the information and interaction needs of users. The evaluation results show that this website has succeeded in achieving its stated goals, supporting the dissemination of foundation information, and facilitating participation effectively, with an average eligibility score of 92.6%, indicating that this website has succeeded in achieving its stated goals. Users highly rate the aspects of ease of use, attractive appearance, and completeness of the information presented.
ANALISIS DIAGNOSA PENYAKIT PADA TANAMAN KAKAO DENGAN MENGGUNAKAN METODE YOLOV8 Syahrir, Syahrir; Hamzidah, Nurul Khaerani; Rahmayani
Journal of Informatics and Computer Engineering Research Vol. 2 No. 2 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i2.6017

Abstract

One of Indonesia's most important commodities, cocoa plants play a crucial role in both the agricultural and financial sectors. In any event, this plant is particularly susceptible to a variety of diseases that can completely reduce its effectiveness, including stem cancer, VSD, natural product spoilage, and others. This article discusses how to use the YOLOv8 technique to develop a framework for sickness conclusion research in cocoa plants. The YOLOv8 computation was selected for this analysis due to its emphasis on handling speed and object recognition with high accuracy. The results showed that the YOLOv8 demonstration could accurately identify damage, reaching a 90% mAP. As a result of these developments, the produced show may be a useful tool to help farmers better monitor and control pest attacks. It is expected that using YOLOv8 to identify damage to cocoa natural products will result in a more effective plan for reducing the likelihood of lower yields from insect attacks.

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