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All Journal Sistemasi: Jurnal Sistem Informasi IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURIKOM (Jurnal Riset Komputer) EDUMATIC: Jurnal Pendidikan Informatika Journal of Innovation and Future Technology (IFTECH) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) JOINTER : Journal of Informatics Engineering Journal La Multiapp Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Indonesian Journal of Innovation Studies Ismart Edu: Jurnal Pendidikan Teknologi Informasi Jurnal Minfo Polgan (JMP) Jurnal Locus Penelitian dan Pengabdian Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Sains Informatika Terapan (JSIT) Innovative: Journal Of Social Science Research Jurnal Penelitian Teknologi Informasi dan Sains The Indonesian Journal of Computer Science semanTIK Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Kristofel Santa
Universitas Negeri Manado
Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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The Best Web-Based Employee Assessment Application Using the SAW Method Tendean, Chelsea Aprilia; Santa, Kristofel; Moningkey, Efraim Ronald Stefanus
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2862

Abstract

This study aims to develop a web-based system to evaluate the performance of top employees at the Secretariat of the Minahasa Regency Regional People's Representative Council. Previously, the performance evaluation process was conducted manually, resulting in inefficiency in data management, low transparency, and subjectivity in decision-making. To address these issues, a decision support system was designed and implemented using the Simple Additive Weighting (SAW) method to calculate the final score for each employee based on predetermined performance criteria. This study employed a structured system development approach, which included the stages of needs analysis, system design, implementation, testing, and maintenance. The system was developed using a web-based programming environment supported by a relational database to manage employee data, assessment criteria, and evaluation results. Employee performance assessments were conducted based on several criteria, including discipline, attendance, responsibility, and productivity, each of which was weighted according to its level of importance. The system performed data normalization, weighting, and ranking to objectively determine the best-performing employees. Functional testing using the black box method showed that all system features, including user authentication, data processing, performance evaluation, and report generation, functioned as expected. The results of the study show that the developed system is able to increase efficiency, accuracy, and transparency in the employee performance assessment process, and can be used as a reliable decision-making tool for management in selecting high-performing employees and improving overall organizational performance.
Evolusi Desain Antarmuka (UI) dan Pengalaman Pengguna (UX) pada Aplikasi Mobile: Study Literatur Santa, Kristofel; Rumengan, Maria Rina; Tagah, Christenia
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 6 No. 1 (2026): EduTIK : Februari 2026
Publisher : Jurusan PTIK Universitas Negeri Manado

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Abstract

Dalam ekosistem mobile computing saat ini, aspek fungsionalitas murni tidak lagi cukup untuk menjamin keberhasilan sebuah aplikasi, melainkan ditentukan oleh kualitas Antarmuka Pengguna (UI) dan Pengalaman Pengguna (UX). Artikel ini bertujuan untuk memetakan transformasi desain mobile dalam sepuluh tahun terakhir sebagai respons terhadap kemajuan teknologi perangkat keras dan perubahan perilaku pengguna. Penelitian ini menggunakan metode Systematic Literature Review (SLR) melalui tinjauan komprehensif terhadap berbagai jurnal penelitian, laporan industri, dan dokumentasi desain dari periode 2015 hingga 2025 yang diperoleh dari basis data akademik terkemuka. Hasil pembahasan menunjukkan adanya evolusi radikal dari gaya Skeuomorphism menuju Flat Design, hingga kemunculan tren modern seperti Dark Mode, navigasi berbasis gestur, dan integrasi Kecerdasan Buatan (AI) yang mendukung Anticipatory Design. Berdasarkan analisis tersebut, dapat disimpulkan bahwa evolusi desain mobile terus bergerak menuju arah yang lebih "manusiawi", inklusif, dan prediktif. Inovasi-inovasi ini terbukti secara signifikan meningkatkan efisiensi kognitif serta kepuasan emosional pengguna, yang menjadi fondasi utama bagi keberlanjutan aplikasi di masa depan.
Integrasi Web Programming dan XML Modeling dalam Pengembangan Aplikasi Web Berbasis Data Terstruktur: Studi Literatur Dotulong, Gratia Whaitney Injili; Pateh, Qnardo Delon; Santa, Kristofel
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 6 No. 1 (2026): EduTIK : Februari 2026
Publisher : Jurusan PTIK Universitas Negeri Manado

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Abstract

Perkembangan aplikasi web menuntut pengelolaan data yang terstruktur dan mudah diintegrasikan antar system. Web Programming menjadi komponen utama dalam pengembangan aplikasi web, sedangkan XML Modeling digunakan untuk merepresentasikan data terstruktur secara konsisten.  Penelitian ini bertujuan untuk mengkaji integrasi XML Modeling dalam Web Programming berdasarkan studi literature. Data penelitian diperoleh dari jurnal ilmiah, prosiding, dan buku refrensi yang relevan dengan topic pengembangan aplikasi web dan pemodelan data berbasis XML. Literatur yang terkumpul dianalisis secara kualitatif untuk mengidentifiksi konsep, mekanisme penerapan, serta kelebihan dan keterbatasan pengguna XML dalam aplikasi web. Hasil kajian menunjukkan bahwa XML Modeling berperan penting dalam mendukung interoperabilitas sistem, konsistensi struktur data, dan pertukaran informasi pada aplikasi web. Namun, penerapan XML masih menghadapi tantangan, terutama terkait kompleksitas struktur dan efisiensi pemrosesan data. Oleh karena itu, integrasi Web Programming dan XML Modeling tetap relevan dalam mendukung pengelolaan data terstruktur pada pengembangan aplikasi web.
Pemanfaatan Big Data dalam Mendukung Pengambilan Keputusan Berbasis Data di Berbagai Bidang: Studi Literatur Dotulong, Gratia Whaitney Injili; Kawuwung, Prillya Chrisanta Esthefania; Santa, Kristofel
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 6 No. 1 (2026): EduTIK : Februari 2026
Publisher : Jurusan PTIK Universitas Negeri Manado

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Abstract

Perkembangan teknologi informasi yang pesat telah mendorong peningkatan signifikan terhadap volume, kecepatan, dan keragaman data yang dihasilkan dari berbagai aktivitas digital. Kondisi ini melahirkan konsep Big Data yang berperan strategis dalam mendukung pengambilan keputusan berbasis data di berbagai sektor. Penelitian ini bertujuan untuk mengkaji pemanfaatan Big Data di berbagai bidang melalui metode studi literatur. Kajian dilakukan dengan menelaah artikel jurnal, buku referensi, dan prosiding ilmiah yang relevan untuk mengidentifikasi pola pemanfaatan, manfaat yang dihasilkan, serta tantangan yang dihadapi dalam implementasi Big Data. Hasil kajian menunjukkan bahwa Big Data telah dimanfaatkan secara luas dalam bidang bisnis, kesehatan, pendidikan, dan pemerintahan untuk meningkatkan efisiensi operasional, efektivitas kinerja, serta kualitas layanan. Pemanfaatan Big Data memungkinkan organisasi menghasilkan wawasan strategis yang mendukung pengambilan keputusan yang lebih akurat dan berbasis data. Namun demikian, implementasi Big Data masih menghadapi sejumlah tantangan, terutama yang berkaitan dengan keamanan dan privasi data, kualitas data yang belum optimal, serta keterbatasan infrastruktur dan sumber daya manusia yang kompeten. Oleh karena itu, diperlukan strategi pengelolaan dan pemanfaatan Big Data yang terencana, adaptif, dan berkelanjutan agar potensi Big Data dapat dimaksimalkan secara optimal. Kajian ini diharapkan dapat memberikan kontribusi sebagai referensi akademik serta menjadi landasan bagi penelitian selanjutnya di bidang Big Data.
Rice Plant Disease Detection System based on Leaf Image using Web-based CNN Algorithm Menden, Lisa; Santa, Kristofel; Kumajas, Sondy
Sistemasi: Jurnal Sistem Informasi Vol 15, No 2 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i2.6067

Abstract

Rice (Oryza sativa) plays a crucial role as a major staple food commodity. However, diseases such as Bacterial Blight, Brown Spot, and Leaf Blast can cause significant crop losses. Current manual identification methods have limitations due to high subjectivity and long diagnosis time. This study proposes a web-based automatic detection system using a Convolutional Neural Network (CNN). The dataset was obtained from Kaggle and consisted of 2,800 images evenly distributed across four classes (700 images per class). The data were split using an 80:20 ratio for training and validation sets, followed by preprocessing steps including resizing to 224×224 pixels and data augmentation. The CNN architecture was designed with four convolutional blocks and optimized using the Adam optimizer. Training for 50 epochs achieved an accuracy of 77.50%, precision of 82.98%, recall of 77.50%, and an F1-score of 72.84%. Based on the confusion matrix analysis, the model performed very well in detecting Bacterial Blight and Brown Spot but still faced difficulties in identifying the Leaf Blast class. Overall, the developed system has the potential to serve as a decision-support tool for farmers, although further performance improvements are required, particularly for detecting specific disease variants.
School Profile Website using the K-Means Algorithm at the Minahasa Regency Education Office Pongmangatta, Tiara; Santa, Kristofel; Kumajas, Sondy
Sistemasi: Jurnal Sistem Informasi Vol 15, No 2 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i2.6048

Abstract

Background: The Education Office often manages school profiling with minimal and fragmented data, such as school name, district, level, total students, and total teachers. This situation makes planning reactive and error-prone, highlighting the need for a lightweight yet reliable workflow to transform aggregated data into actionable evidence. Method: This study developed a web-based profiling tool that integrates a user interface designed using a User-Centered Design (UCD) approach with a transparent K-Means clustering algorithm. Development was carried out through iterative prototyping, with features standardized using z-scores and cluster validity assessed using the silhouette method along with other internal validity indices. Results: Data entry features with header previews and numeric checks effectively reduced rework. The silhouette value peaked at $k=2$, producing two interpretable segments (moderate vs. high staffing load), with an optional $k=3$ for exploratory purposes. Usability evaluation using the System Usability Scale (SUS) yielded a score of approximately 82, indicating good user acceptance, with system response times measured in seconds. Conclusion: The system provides a streamlined and sufficient workflow for routine planning and establishes a foundation for future longitudinal developments, such as tracking the number of study groups and accreditation per period.
Aplikasi Monitoring Aset Berbasis QR Code Dengan Rule-Based Alert Engine Sebagai Peringatan Dini Sibarani, Gitarosalina; Santa, Kristofel; Tinambunan, Medi Hermanto
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9561

Abstract

Asset management at PT PLN Nusantara Power Unit Pembangkitan Minahasa is still carried out manually, which has the potential to cause recording errors and delays in data updates. In addition, most QR Code-based asset management systems that have been developed generally only focus on the process of recording and identifying assets, without being equipped with an early warning mechanism. This study aims to develop a web-based asset monitoring application that integrates QR Code technology with a rule-based alert engine using the Extreme Programming (XP) method. The research methods include iterative software development, functional testing using black box testing, system response time analysis, and user satisfaction evaluation through questionnaires. Testing results show that all system functions run according to user requirements with an average response time of less than 5 seconds, thus supporting real-time use. The rule-based alert engine is capable of automatically detecting asset conditions that require attention and generating notifications as a form of early warning. User evaluation shows a high level of satisfaction with the ease of use and functionality of the system. Based on these results, the developed application has been proven to improve the accuracy of recording and efficiency of asset management compared to manual methods, and has the potential to become an adaptive digital solution in office asset management.
Citizen-Centric Decision Support Systems for Housing Assistance: A Low-Barrier E-Government Approach Manopo, Ben Shalom; Kenap, Audy Aldrin; Santa, Kristofel
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.33945

Abstract

Digital public services often require account-based authentication that can create access barriers for citizens with limited digital literacy. In housing assistance services, such barriers may reduce the accessibility of systems intended to support vulnerable groups. This study aimed to develop and evaluate a low-barrier decision support system for housing assistance by integrating Guest Mode access with the Simple Additive Weighting (SAW) method. The study used a design-oriented development approach in collaboration with Dinas Perkim Minahasa. System requirements were identified through staff interviews, and the prototype was tested in the agency environment using real housing data. Validation was conducted by comparing system-generated SAW results with manual calculations performed by agency staff and by testing the main system functions operationally. The results showed that the system produced the same ranking results as the manual calculations in the tested cases, while staff evaluation indicated that the Guest Mode design simplified the submission process and reduced administrative barriers. This study contributes to inclusive e-government practice by proposing a citizen-centered, low-barrier architecture for housing assistance services that maintains decision support accuracy while improving service accessibility.
Sistem Suhu dan Kelembapan Tanah Pada Tanaman Cabai Rawit Di Greenhouse Berbasis Internet OF Things (IOT) Komaling, Jessa V; Santa, Kristofel; Moningkey, Efraim R. S.
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 1 (2026): IKRAITH-INFORMATIKA Vol 10 No 1 Maret 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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Abstract

The soil moisture monitoring system for cayenne pepper plants is an important part in ensuring optimal plant growth. The limited land that is often found makes the use of greenhouses one solution to deal with this problem. In this research, the system uses a soil moisture sensor which can measure soil moisture and a DHT11 sensor as an air temperature measurement with IoT-based monitoring. The integration of the NodeMCU ESP8266 with the Telegram platform is going well, marked by the success of the system in sending test result notifications automatically every time there is a change in soil moisture status and also local display via the 16×2 LCD making it easier for users if they want to check directly in the field. The test results show that the monitoring system built has met the basic needs for monitoring soil moisture in cayenne pepper plants in a small-scale greenhouse and can be an effective solution in supporting IoT-based agricultural activities. Keywords (Agriculture, Cayenne Pepper Plants, Greenhouse, Internet of Things, Soil Moisture)
Implementation of Random Forest for Predicting Complaint Handling Priorities at the Minahasa Education Office Sinta Tumbo; Medi Hermanto Tinambunan; Kristofel Santa
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.6060

Abstract

Public service delivery in the education sector requires government institutions to handle public complaints promptly and accurately. However, the Minahasa Regency Education Office still faces challenges in determining complaint handling priorities, which are often subjective and manually assigned. This condition may lead to delays in addressing urgent complaints. This study aims to implement the Random Forest algorithm to objectively predict complaint handling priorities based on data. The research methodology includes collecting a dataset of 500 public complaints with six attributes: complaint type, violation level, work unit, follow-up action, outcome, and priority. The process involves data preprocessing, splitting the dataset into training and testing sets, building the Random Forest model, and evaluating its performance. Data processing and modeling were conducted using Jupyter Notebook within the Anaconda environment. Model performance was evaluated using accuracy, confusion matrix, precision, recall, and F1-score metrics. The results show that the Random Forest algorithm achieved an accuracy of 100%, with precision, recall, and F1-score values of 1.00 across all priority classes. These findings indicate that the model demonstrates excellent and stable classification performance. Therefore, it can serve as a foundation for developing a decision support system to improve the effectiveness and quality of public service delivery at the Minahasa Regency Education Office.
Co-Authors Aldo Napu Alfiansyah Hasibuan Andi R. Widyastuti Arsila Duaulu Atuna, Annisa Salsabilah Audy Aldrin Kenap Audy Aldrin Kenap Daeng, Mushendra Dani Orlando Daniel Riano Kaparang Detuage, Rivni Djami Olii Dotulong, Gratia Whaitney Injili Ezra Matthew Warouw Runturamby Ferdinan I. Sangkop Filisia R. Terok Francesco Jeremy Topol Geralda Lucia Rumondor Gladly Caren Rorimpandey Glenn David Paulus Maramis Glenn Maramis Harisondak, Della Deviani Inda, Inda Indi Rahayu Ningsi Irene R. H. T. Tangkawarow Julio Tabea Kambey, Waraney Maurits Kawuwung, Prillya Chrisanta Esthefania Komaling, Jessa V Krina Crisila T. Mawuntu Manopo, Ben Shalom Martina Lorensa Medi Hermanto Tinambunan Menden, Lisa Moningkey, Efraim Moningkey, Efraim R. S. Moningkey, Efraim Ronald Stefanus Muhammad Lukmansyah Sulaiman Nanda, Agus Estepen Olivia Kembuan Pagala, J. Rifaldo Pandoh, Kevin Mclaren parabelem tinno dolf rompas Pateh, Qnardo Delon Peggy Veronica Togas Pesik, Luisa Maria Pongmangatta, Tiara Preisya Yunita Toar Quido Conferti Kainde Rahanubun, Basilius Mario Vikranta Ratu, Regina Gloria Rumayar, Eroldy Rumengan, Maria Rina Saknohsiwy, Lorida Julensa Holiba Semuel Fendy Ngalo Sibarani, Gitarosalina Sinta Tumbo Sondakh, Inggried Rillya Sondy C. Kumajas Stiven Panambunan Syalomita Cinta Tagah, Christenia Tendean, Chelsea Aprilia Tinambunan, Medi Hermanto Tiwi, Heri Susan Tular, Feonri Vivi Peggie Rantung Waraney Maurits Kambey Wilma Wijayanti Wowor, Hanna Elisabeth Yosita Rante Tando