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Olivia Kembuan
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oliviakembuan@unima.ac.id
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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 60 Documents
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SISTEM PRESENSI GURU DAN PEGAWAI BERBASIS PENGENALAN WAJAH MENGGUNAKAN ALGORITMA VIOLA-JONES DAN LOCAL BINARY PATTERN HISTOGRAMS Kembuan, Olivia; Wuntu, Lucky; Rantung, Vivi
JOINTER : Journal of Informatics Engineering Vol 6 No 01 (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.v6i01.158

Abstract

The process of collecting data on the attendance of teachers and employees at GMIM 2 Tondano Elementary School still uses manual methods and has not been computerized both in taking attendance data to the process of recapitulating attendance data. Based on this, this research aims to design and develop an attendance system by applying face recognition technology. An agile software development method with scrum framework is used to develop the system, this system uses the Viola-Jones algorithm to perform face detection, and uses the Local Binary Pattern Histogram (LBPH) algorithm for face recognition. With a test distance of 1 meter the ViolaJones algorithm gets an accuracy result of 100% and for a distance of 2 meters gets an accuracy result of 0%. Local Binary Pattern Histograms (LBPH) algorithm, getting 100% accuracy for 40 tests with 4 different face samples with a testing distance of 1 meter between the camera and the faces. Based on the results of the tests, it can be concluded that the face recognition-based attendance system was successfully developed for use by teachers and employees at GMIM 2 Tondano Elementary School.
TRACKING DAN MONITORING TRUK PENGANGKUT SAMPAH DI DINAS LINGKUNGAN HIDUP KABUPATEN MINAHASA Daeng, Mushendra; Rompas, Parabelem Tinno Dolf; Santa, Kristofel
JOINTER : Journal of Informatics Engineering Vol 6 No 01 (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.v6i01.306

Abstract

As technology develops in our lives, this results in demands in every aspect, for example in government institutions. In this case, technological developments are in the form of application systems and the web, where the web functions for monitoring and the application functions for tracking, which is useful for assisting office employees in supervising field workers, namely waste transport drivers. The development of this system uses the RAD method which has 4 stages, namely planning, system design, development process and collecting feedback, then implementation, while for developing Android-based applications using the Flutter Framework with the Dart programming language and for the website itself using the Laravel Framework with the PHP programming language. It is hoped that this research can facilitate the monitoring process, reduce errors in the reporting process, and increase the efficiency of the work processes of employees in the Minahasa Regency Environmental Service.
Analisis Sentimen Opini Publik Terhadap Kunjungan Paus Fransiskus di Indonesia Menggunakan Algoritma Naïve Bayes Sitanayah, Lanny
JOINTER : Journal of Informatics Engineering Vol 6 No 01 (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.v6i01.385

Abstract

The X social media platform (formerly known as Twitter) has become one of the main media for discussing various issues and public opinions, including Pope Francis' visit to Indonesia on September 3-6, 2024. This study aims to analyze public opinion sentiment based on tweet data by applying the Naïve Bayes algorithm. Data collection was carried out through crawling techniques using the Twitter API, which was run on Google Colab. The Naïve Bayes algorithm is used to classify data into three types of sentiment: positive, negative, and neutral. Testing was conducted using training and testing data, and then evaluated through a confusion matrix to measure accuracy, precision, recall, and F1-score. The analysis results show that public opinion regarding the visit is positive, with an evaluation yielding average accuracy metric results, namely the 90:10 ratio reaching 74.37%, followed by the 80:20 ratio with 73.26%, the 70:30 ratio with 70.91%, and the 60:40 ratio with 66.44%. The best precision, recall, and F1-score metrics were obtained from the 90:10 ratio, which were 59.72%, 59.29%, and 59.48%, respectively. This research provides an overview of public perception regarding Pope Francis' visit and demonstrates the results of applying the Naïve Bayes algorithm. Thus, this application is expected to contribute to the advancement of sentiment analysis methods in public opinion analysis on various social issues.
Identifikasi Tipe Penyakit Anemia dengan Menggunakan Metode Random Forest Farida, Laili Nur
JOINTER : Journal of Informatics Engineering Vol 6 No 01 (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.v6i01.386

Abstract

Anemia is a blood disorder caused by a lack of red blood cells and hemoglobin levels. Based on a survey conducted by the World Health Organization (WHO), anemia affects 1.62 billion people worldwide. As many as 93% of chronic disease patients experience anemia. Anemia can be diagnosed using Complete Blood Count (CBC) which aims to evaluate the total number and characteristics of cell components in the blood. The purpose of this study was to perform Random Forest (RF) classification of anemia. This study used numerical data in the form of blood cell characteristics, consisting of 269 Normocytic Normochromic Anemia patients, 189 Iron Deficiency Anemia patients, and 336 Healthy patients. In this study, the classification process used RF which was then evaluated using the Confusion Matrix, so that the classification evaluation results were obtained in the form of accuracy, sensitivity, and specificity. This study obtained the best results at k of 5 with parameters n estimators, max depth, and min samples leaf of 10, 90, and 4, respectively. The accuracy, sensitivity, and specificity values ​​produced were each 100%.
Buku Tamu Digital Menggunakan Teknologi Optical Character Recognition Dan Framework Laravel Rapar, Pedro Vincensius; Rorimpandey, Gladly Caren; Tinambunan, Medi Hermanto
JOINTER : Journal of Informatics Engineering Vol 6 No 01 (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.v6i01.398

Abstract

The use of information technology has become essential in improving operational efficiency and data accuracy, particularly in visitor registration systems. At PT. Pertamina Geothermal Energy Area Lahendong, visitor data collection was still carried out manually, often resulting in long queues, unreadable handwriting, and data management difficulties. This study proposes the development of a web-based digital guest book system using Optical Character Recognition (OCR) technology and the Laravel framework. OCR is employed to extract visitor data automatically from images of ID cards (KTP), eliminating the need for manual entry. The system was developed using the Rapid Application Development (RAD) methodology, which emphasizes iterative prototyping and user involvement. User Acceptance Testing (UAT) showed a high satisfaction score of 90.2%, categorized as "Very Good." In addition, OCR testing demonstrated 100% accuracy in extracting data from high-quality KTP images. The implementation of this system simplifies the visitor registration process, reduces the reliance on manual input, no need to leave the ID card at the security post, and enhances data security.
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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