cover
Contact Name
Olivia Kembuan
Contact Email
oliviakembuan@unima.ac.id
Phone
+6281340403034
Journal Mail Official
jointer@unima.ac.id
Editorial Address
Program Studi Teknik Informatika Fakultas Teknik, Kampus Unima di Tondano, Minahasa, Sulawesi Utara
Location
Kab. minahasa,
Sulawesi utara
INDONESIA
JOINTER : Journal of Informatics Engineering
ISSN : -     EISSN : 27237958     DOI : -
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
Articles 65 Documents
Perancangan dan Pembuatan Website Computer Science Student Association Universitas Prisma Samuel Towoliu; Feibe Lawalata
JOINTER : Journal of Informatics Engineering Vol 7 No 01 (2026): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v7i01.206

Abstract

The rapid development experienced by mankind, especially in the field of technology today, has brought us to an era where everything is digitized. So it is not surprising that everything must be in the digital field or on the internet. This has changed from previously being a matter of choice for the community, whether you want to make it or not, but now it has become an obligation. This is necessary so that we can be well known and accepted in the wider community. Himpunan Mahasiswa Ilmu Komputer Universitas Prisma or known as the U-Prisma Computer Science Student Association (CSSA Prisma) in carrying out its functions and duties provides excellent and informative service to all members. Driven by this obligation, an information portal is needed as a place to publish information about CSSA Prisma. The information portal is in the form of a website. The website of CSSA Prisma was created to provide a forum for administrators to share official information, as well as for writers to work on producing good articles. These things are realized by the presence of various features on this website, such as profiles from the Student Association itself, activity galleries, and news portals, which cover various topics grouped into several categories. Making this website using HTML, PHP, CSS and JS as programming languages. And for database support, use the MySQL module. In the process also used Bootstrap.
Sistem Pendukung Keputusan Pemilihan Foundation Makeup Menggunakan Metode Fuzzy Berbasis Mobile Ferjenia Feybelia; Ferdinan Sangkop; Kristofel Santa
JOINTER : Journal of Informatics Engineering Vol 7 No 01 (2026): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v7i01.245

Abstract

Choosing a cosmetic is not easy, most buyers only see advertisements and promos, without reading the ingredients contained in the product that cause itching, irritation, and pimples on the face because the product is not suitable for the type of facial skin. For that, an application is needed to support the decision making of foundation makeup that is suitable for the type of facial skin to make it easier to find foundation products. This system helps users to support their decisions by recommending products that are suitable for the skin type of each individual who has different types of facial skin ranging from dry, normal, and oily skin. The purpose of this research is to design a decision support system application that will make it easier for users to find foundation makeup products according to the needs of the skin. Fuzzy Logic Method (Fuzzy Logic) was first introduced by Prof. Lotfi A. Zadeh in 1965. The basis of Fuzzy Logic is the theory of Fuzzy sets. In Fuzzy set theory, the role of disclosure level as a determinant of the existence of elements in a set is very important. The expected results can help make-up beginners or customers to choose a foundation that suits their skin type.
Sistem Presensi dan Pengelolaan Tunjangan Kinerja Pegawai Resort Berbasis Web Yofita Mulyaningsih; Olivia Kembuan; Sondy Kumajas
JOINTER : Journal of Informatics Engineering Vol 7 No 01 (2026): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v7i01.276

Abstract

Presence system and management of resort employee performance allowances using the web-based extreme programming method is system that is simplify the presence system and management of Resort employee performance benefits in Bogani Nani Wartabone National Park so that it can be accessed at anytime and at anywhere by Resort employees. This research was conducted on resort employees where the distance between each resort is quite far apart so a presence system is needed that can control each resort employee and can facilitate the calculation of performance allowances for each resort employee. The creation of this system uses the CodeIgniter framework for coding and a Database Management System (MySQL) for data management, resulting in a attendance system and management of resort employee performance allowances. Tthe conclusion is that based on the results of testing this system using black box testing and usability testing which was carried out on the Head of the National Park Management Section and Resort employees by distributing questionnaires, the average percentage score for system functionality elements was 91% and system satisfaction elements were 94%, while the final score for both this element is 92.5%, it can be concluded that it functions according to the expected goals.
Aplikasi Augmented Reality untuk Pembelajaran Organ Vital pada Tubuh Manusia Berbasis Android Tesalonika Gracia Palilingan; Gladly C. Rorimpandey; Quido C. Kainde
JOINTER : Journal of Informatics Engineering Vol 7 No 01 (2026): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v7i01.407

Abstract

This research aims to develop an Augmented Reality (AR) application based on Unity and Vuforia as a learning medium for human vital organs at SMP Negeri 1 Lembean Timur. In the context of education, which increasingly requires innovation, this AR application is expected to overcome the limitations of conventional learning methods that rely only on textbooks and 2D images. By utilizing AR technology, students can see three-dimensional (3D) models of vital organs in real-time, offering better details and more engaging interaction. The research results show that the implementation of the AR application has added a new, more interesting variation for students, making it easier for them to understand the shape, position, and function of vital organs. Additionally, this application provides an effective interactive learning alternative in the Natural Sciences (IPA) subject. Thus, the development of this AR application not only enhances students' understanding but also contributes to learning innovation at SMP Negeri 1 Lembean Timur.
Implementasi Algoritma Random Forest, Logistic Regression, dan Gradient Boosting untuk Deteksi Dini Diabetes Mellitus Larry Anthonio Ruitan; Ngureh Daniel Palar; Andreuw Vandy Lengkong; Dyah Listianing Tyas
JOINTER : Journal of Informatics Engineering Vol 7 No 01 (2026): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v7i01.478

Abstract

Diabetes Mellitus is a chronic metabolic disease with an increasing prevalence worldwide, including in Indonesia. Early detection is important to reduce the risk of complications and support preventive health actions. This study aims to develop a web-based early diabetes risk screening application using machine learning algorithms, namely Random Forest, Logistic Regression, and Gradient Boosting. The dataset used in this study is the CDC Diabetes Health Indicators dataset, which contains demographic, health condition, and lifestyle variables related to diabetes risk. The research process includes data collection, preprocessing, model training, model evaluation, and implementation into a web-based application. Model performance was evaluated using accuracy, precision, recall, and F1-score. The results show that Gradient Boosting achieved the best performance with an accuracy of 84.52%, followed by Random Forest with 83.20% and Logistic Regression with 81.88%. The developed application is able to provide diabetes risk scores, risk categories, health recommendations, AI-based consultation, and screening history. This study shows that machine learning can be used as a supporting tool for early diabetes risk screening.