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Olivia Kembuan
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oliviakembuan@unima.ac.id
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+6281340403034
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jointer@unima.ac.id
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Program Studi Teknik Informatika Fakultas Teknik, Kampus Unima di Tondano, Minahasa, Sulawesi Utara
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JOINTER : Journal of Informatics Engineering
Published by Universitas Negeri Manado
ISSN : -     EISSN : 27237958     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Journal of Informatics and Engineering (Jointer) diterbitkan oleh Program Studi Teknik Informatika, Fakultas Teknik (FATEK) Universitas Negeri Manado (UNIMA) setiap bulan Juni dan Desember dengan nomor e-issn : 2723-7958. Jointer merupakan jurnal open-access atau dengan kata lain semua artikel yang diterbitkan bersifat terbuka dan dapat diakses tanpa biaya untuk mendukung pertukaran pengetahuan secara global. Jointer menerbitkan artikel penelitian (research article), artikel telaah/studi literatur (review article/literature review), laporan kasus (case report) dan artikel konsep atau kebijakan (concept/policy article), di bidang-bidang menyangkut Teknologi Informasi seperti berikut : Business Process Management Business Intellegent Computer Architecture Design Computing Theory Conceptual Modeling, Languages and design Computer Network Data Mining Data Warehouse Decision Support System e-Healthcare, e-Learning, e-Manufacturing, e-Commerce Embedded system Enterprise Application ERP dan Supply Chain Management Geographical Information System Human Computer Interaction Image Processing and Pattern Recognition Information Infrastructure for Smart Living Spaces Information Retrievel Information Security Information-centric Networking Intelligent Transportation Systems IT Management dan IT Governance Media, Game and Mobile Technologies Models, Methods and Techniques Natural Language Processing Network Computer Security Remote Sensing Robotic Systems Smart Appliances & Wearable Computing Devices Smart City Smart Cloud Technology Smart Sensor Networks Smart Systems Software Engineering
Arjuna Subject : Teknik (semua kategori) - Teknologi Media
Articles 5 Documents
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Search results for , issue "Vol 6 No 02 (2025): JOINTER : Journal of Informatics Engineering" : 5 Documents clear
Sistem Pencarian dan Penyewaan Rumah Kost Berbasis Web dengan Pendekatan Agile Sahambangun, Heny; Kembuan, Olivia; Krisnanda, Made
JOINTER : Journal of Informatics Engineering Vol 6 No 02 (2025): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v6i02.111

Abstract

Information systems have a considerable impact on business development which is managed by each individual. As a means of information, the website has a very important role in marketing and business management In Tomohon City, especially Matani Satu Village, which is located in North Sulawesi Province, which is currently starting to develop. Boarding houses have a lot of potential as they increase the demand for temporary housing. The purpose of this research is to create an application that can help and make it easier for all people and boarding house owners to be able to connect with each other only through a website-based cellphone. The method used in this website is the Agile Development method which has six stages, namely, planning, implementation, software testing, documentation, implementation, maintenance using the programming languages PHP, xampp, javascript and visual studio. Testing this system using the Black box testing method to prove that the application is in accordance with the objectives of the researcher.
Aplikasi Permainan 2D Perang Tondano Berbasis Role Playing Game (RPG) Tular, Feonri; Moningkey, Efraim Ronald Stefanus; Santa, Kristofel
JOINTER : Journal of Informatics Engineering Vol 6 No 02 (2025): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v6i02.357

Abstract

This research aims to develop a Role-Playing Game (RPG) that highlights the history of the Tondano War to enhance the understanding of young generations. The Game Development Life-Cycle (GDLC) method was employed, consisting of five stages: initiation, pre-production, production, testing, and release. Data collection involved literature review and observation, with the game tested through blackbox testing on Android and Windows platforms. The results show that the game successfully introduces the history of the Tondano War through interactive narratives presented in chapters of varying difficulty. The game also allows players to strategize in turn-based combat. In conclusion, this game is effective as an educational medium that enriches historical knowledge and offers an engaging experience for young players.
Analisis Performa Support Vector Machine (SVM) dengan Hyperparameter Tuning untuk Klasifikasi Data Stress Monitoring Siswa Lawalata, Feibe; Sediyono, Eko
JOINTER : Journal of Informatics Engineering Vol 6 No 02 (2025): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v6i02.413

Abstract

Stress is one of the critical issues in student mental health that directly affects academic performance. Machine learning–based stress detection offers an effective solution for automatically monitoring psychological conditions. This study analyzes the performance of the Support Vector Machine (SVM) algorithm in classifying student stress levels using a public dataset. Two approaches are compared: a baseline SVM model with a linear kernel and a model refined through hyperparameter tuning using GridSearchCV. The evaluation employed accuracy, precision, recall, F1-score, confusion matrix, and the McNemar statistical test. The results show that both models achieved identical performance, with an accuracy of 84.54% and a macro F1-score of 0.85. The confusion matrix further demonstrated identical prediction distributions, although the McNemar test indicated a significant difference (p < 0.05). These findings highlight that hyperparameter tuning does not necessarily lead to performance improvements, particularly when the data is nearly linearly separable. The implications of this research emphasize the importance of deeper analysis in selecting tuning strategies, while also opening opportunities to apply SVM models as the backend of mobile-based student stress monitoring applications.
Prediksi Tingkat Kemiskinan Kota Manado Menggunakan Algoritma Regresi Linier Berganda Menden, Lisa; Rantung, Vivi Pegie
JOINTER : Journal of Informatics Engineering Vol 6 No 02 (2025): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v6i02.428

Abstract

This study analyzes and predicts the poverty rate in Manado City using Multiple Linear Regression (MLR) based on annual data from Statistics Indonesia (BPS). The dependent variable is the percentage of poor people, while the predictor variables include total population, average years of education, and Human Development Index (HDI). An alternative specification incorporates time trend controls. The analysis includes multicollinearity testing, OLS estimation, model diagnostics, and Leave-one-Out Cross Validation (LOOCV). Model A showed moderate explanatory power (R² = 0.4178) and good prediction accuracy (MAPE = 4.17%). Model B improved the behavior of the residuals by reducing autocorrelation and increasing the overall stability of the model. Education shows a negative and significant relationship with poverty, while the HDI coefficient requires careful interpretation due to multicollinearity. These findings suggest that expanding educational attainment and strengthening human development can effectively reduce poverty. Future research can integrate additional socioeconomic variables or adopt time series-based models to improve long-term predictive performance.
INTEGRASI OCR TESSERACT DAN GEMINI UNTUK BUKU TAMU DIGITAL BERBASIS WEB Ponggohong, Alfa Riegel Imanuel; Rorimpandey, Gladly Caren; Maswonggo, Vandi Vanda
JOINTER : Journal of Informatics Engineering Vol 6 No 02 (2025): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v6i02.431

Abstract

Abstract—Digital guest book systems require efficient data extraction from identity documents. Optical Character Recognition (OCR) combined with Artificial Intelligence enables automated text extraction and entity classification. This research develops and evaluates a web-based digital guest book system integrating Tesseract OCR with Google Gemini AI using Django framework. The system processes various identity card types (ID card, driver’s license, employee card) with 21 image samples. Multi-variant image preprocessing techniques (grayscale conversion, CLAHE, binarization, deskewing, sharpening) are applied in parallel to improve OCR accuracy. Tesseract OCR with Indonesian+English language configuration (psm=6, oem=1) extracts text, followed by Gemini AI analysis for entity classification (name vs. institution). A rule-based fallback mechanism ensures robustness when AI is unavailable. Experimental results demonstrate the fallback mechanism’s reliability, achieving 100% accuracy for name detection and 47.6% for institution detection using traditional rule-based methods when AI quota limits are reached. Multi-variant preprocessing achieved average OCR confidence of 70.48%, with best-performing variants (enhanced CLAHE, binarization, original) yielding con- fidence ranges from 51.12% to 94.11%. The system successfully processes 21 different identity card types with 100% OCR success rate. The developed system demonstrates effectiveness for automated guest data acquisi- tion and can be adopted by institutions requiring fast and accurate digital registration processes.

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