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All Journal Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURIKOM (Jurnal Riset Komputer) EDUMATIC: Jurnal Pendidikan Informatika Journal of Information Systems and Informatics Journal of Innovation and Future Technology (IFTECH) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) INSERT: Information System and Emerging Technology Journal 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 Dinamika Informatika (JDI) Jurnal Locus Penelitian dan Pengabdian Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Sains Informatika Terapan (JSIT) Journal of Artificial Intelligence and Digital Business Jurnal Ilmiah Teknik Informatika dan Komunikasi Innovative: Journal Of Social Science Research Jurnal Penelitian Teknologi Informasi dan Sains The Indonesian Journal of Computer Science semanTIK INOVTEK Polbeng - Seri Informatika Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi FIMERKOM: Journal of Information Systems and Technology Academia Open
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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IMPLEMENTASI BASIS DATA UNTUK PENGOLAHAN DATA PENJUALAN DI TOKO CINSPEED STORE Inggried Rillya Sondakh; Rahellea Joiby Onibala; Kristofel Santa
Jurnal Dinamika Informatika Vol. 15 No. 1 (2026): Vol. 15 No. 1 (2026)
Publisher : Program Studi Informatika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jdi.v15i1.413

Abstract

This study analyzes the implementation of a database in processing sales data at Cinspeed Store, a business selling motorcycle parts and equipment. Traditional methods often cause problems such as data loss risk, inconsistency, and data duplication, which impede service speed and financial report accuracy. The database serves as a fundamental solution due to its ability to store data centrally, structured, and organized, allowing for more systematic sales data processing. The methodology used is qualitative, with data collected through observation, interviews, and document analysis. The findings indicate that the database is designed with four main interconnected entities: Goods, Sales, Customer, and Employee, to maintain consistency and prevent information duplication. This implementation successfully overcomes the limitations of manual methods. The computerized system enables the store owner to monitor daily sales trends and track stock availability in real-time. This accurate information becomes the strategic foundation for decision-making, such as inventory control and sales evaluation. In conclusion, the database is an essential component that enhances the accuracy and efficiency of daily sales data management.
Citizen-Centric Decision Support Systems for Housing Assistance: A Low-Barrier E-Government Approach Ben Shalom Manopo; Audy Aldrin Kenap; Kristofel Santa
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.
Rice Plant Disease Detection System based on Leaf Image using Web-based CNN Algorithm Lisa Menden; Kristofel Santa; Sondy Kumajas
SISTEMASI Vol 15, No 2 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

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 Tiara Pongmangatta; Kristofel Santa; Sondy Kumajas
SISTEMASI Vol 15, No 2 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

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 Gitarosalina Sibarani; Kristofel Santa; Medi Hermanto Tinambunan
JURIKOM (Jurnal Riset Komputer) 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.
The Best Web-Based Employee Assessment Application Using the SAW Method Chelsea Aprilia Tendean; Kristofel Santa; Efraim Ronald Stefanus Moningkey
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.
Implementasi Sistem Pemesanan Makanan Berbasis Internet of Things Terintegrasi Google Spreadsheet untuk Monitoring Data Transaksi Kantin Hanni Tompunu; Chris Terok; Agniya Algifahri; Wayne Kemur; Athik Gelamona; Kristofel Santa; Nasib Marbun
Journal of Information Systems and Technology Vol. 3 No. 1 (2026): Juni 2026 (IN PRESS)
Publisher : PT Katersi Minar Permata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66785/fimerkom.v3i1.184

Abstract

Proses pemesanan makanan di kantin yang masih dilakukan secara konvensional sering menimbulkan antrean, kesalahan pencatatan pesanan, serta keterlambatan dalam merekap data transaksi. Penelitian ini bertujuan untuk merancang sistem pemesanan makanan berbasis Internet of Things yang dapat membantu proses pemesanan, simulasi pembayaran, dan pencatatan transaksi secara digital. Sistem ini menggunakan ESP32 sebagai pusat kendali, keypad 4x4 sebagai perangkat masukan kode menu dan jumlah pesanan, Liquid Crystal Display 16x2 I2C sebagai media tampilan informasi, serta modul Radio Frequency Identification RC522 sebagai alat identifikasi pembayaran. Data transaksi dikirim melalui jaringan Wi-Fi menuju Google Apps Script sebagai web service, kemudian disimpan pada Google Spreadsheet sebagai media penyimpanan berbasis cloud. Alur kerja sistem meliputi pemilihan menu, pengisian jumlah pesanan, perhitungan subtotal dan total harga, konfirmasi pesanan, pembacaan kartu RFID, serta pengiriman data transaksi. Hasil pengujian menunjukkan bahwa sistem mampu membaca masukan dari keypad, menampilkan informasi pesanan pada LCD, memproses pembayaran menggunakan RFID, dan mencatat transaksi ke Google Spreadsheet secara real-time. Dengan adanya sistem ini, proses pelayanan kantin dapat menjadi lebih efisien dan data transaksi lebih mudah dipantau oleh pengelola.
Aplikasi Penyewaan Mobil Di Manado Berbasis Website Menggunakan Algoritma Priority Queue Basilius Mario Vikranta Rahanubun; Audy Aldrin Kenap; Kristofel Santa
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 9 No. 3 (2025): IKRAITH-INFORMATIKA Vol 9 No 3 November 2025
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi informasi telah mendorong digitalisasi dalam industri penyewaan mobil, terutama untuk mengatasi permasalahan transparansi harga, konflik pemesanan, serta keterbatasan sistem manual dalam pengelolaan data. Penelitian ini bertujuan mengembangkan aplikasi penyewaan mobil berbasis website yang dilengkapi fitur perhitungan harga transparan, pemilihan mobil berdasarkan detail dan rating, integrasi pembayaran digital Midtrans, layanan pengantaran berbasis peta interaktif Leaflet JS, notifikasi real-time melalui Fonnte API, verifikasi OTP email, serta pemantauan lokasi kendaraan menggunakan GPS. Algoritma Priority Queue diterapkan sebagai mekanisme pemrosesan konflik pemesanan, di mana pesanan dengan nilai transaksi tertinggi diprioritaskan ketika terjadi permintaan simultan pada mobil yang sama. Metode pengembangan menggunakan model Waterfall, dan seluruh fitur diuji menggunakan Black Box Testing untuk memastikan kesesuaian fungsi dengan kebutuhan pengguna. Hasil pengujian menunjukkan bahwa seluruh komponen sistem berjalan dengan baik, termasuk pemrosesan prioritas, pembayaran online, navigasi antarmuka, dan pelacakan real-time. Sistem ini terbukti mampu meningkatkan efisiensi pengelolaan rental mobil, transparansi layanan, serta keamanan aset kendaraan melalui pemantauan berbasis GPS.
Sistem Suhu dan Kelembapan Tanah Pada Tanaman Cabai Rawit Di Greenhouse Berbasis Internet OF Things (IOT) Jessa V Komaling; Kristofel Santa; Efraim R. S. Moningkey
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)
Peringatan Dini Banjir Berbasis Internet of Things Menggunakan Fuzzy Logic di Kelurahan Taas Joy C. Rampi; Kristofel Santa; Alfiansyah Hasibuan
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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Abstract

Kelurahan Taas di Kota Manado rawan banjir. Sepanjang 2023-2025, tercatat 22 kejadian banjir yang berdampak langsung pada rumah warga. Sayangnya, tidak ada sistem yang memantau kondisi air sungai secara real-time. Hal ini membuat proses evakuasi lambat dan berisiko menyebabkan kerugian materi dan korban jiwa. Penelitian ini bertujuan membuat sistem peringatan dini banjir berbasis teknologi Internet ofThings (IoT). Sistem ini menggunakan metode inferensi Fuzzy Logic Sugeno Orde-0 yang diimplementasikan melalui metodologi Prototype dan dibuat dalam dua versi. Sistem ini menggunakan sensor ultrasonik HC-SR04 untuk mengukur ketinggian air dan sensor water flow YF-S201 untuk menghitung debit air. Data dari sensor diproses oleh mikrokontroler untuk menentukan status kedaruratan, yaitu Aman, Siaga, atau Bahaya. Data ini kemudian dikirim ke platform cloud ThingSpeak dan bot notifikasi Telegram. Hasil penelitian menunjukkan bahwa versi kedua sistem memiliki arsitektur yang lebih baik. Versi kedua menggunakan ESP8266 sebagai mikrokontroler tunggal. Hal ini membuat sistem lebih efisien dengan mengurangi koneksi sebesar 36%. Sistem ini juga menghemat konsumsi daya sebesar 32%, dari sekitar 850 mA menjadi sekitar 580 mA. Kecepatan respons pemrosesan data juga meningkat hingga 3 kali lebih cepat dibandingkan versi pertama.
Co-Authors Agnia Paputungan Agniya Algifahri Aldo Napu Alfiansyah Hasibuan Alfiansyah Hasibuan Amran Panjaitan Andi R. Widyastuti Archangela G. Repi Arif Tegar Elgifari Arbie Arsila Duaulu Athik Gelamona Atuna, Annisa Salsabilah Audy Aldrin Kenap Basilius Mario Vikranta Rahanubun Ben Shalom Manopo Chelsea Aprilia Tendean Chris Terok Christenia Tagah Cristy E. P. Bojoh Daeng, Mushendra Dani Orlando Daniel Riano Kaparang Della Deviani Harisondak Detuage, Rivni Djami Olii Efraim R. S. Moningkey Efraim R. S. Moningkey Efraim Ronald Stefanus Moningkey Efraim Ronald Stefanus Moningkey Enjelita Radjakore Ezra Matthew Warouw Runturamby Fanuel Juventino Palandeng Ferdinan I. Sangkop Ferdinan Sangkop Ferjenia Feybelia Filisia R. Terok Francesco Jeremy Topol Geralda Lucia Rumondor Gitarosalina Sibarani Gladly Caren Rorimpandey Glenn D. P. Maramis Glenn David Paulus Maramis Glenn David Paulus Maramis Glenn David Paulus Maramis Glenn Maramis Gratia Whaitney Injili Dotulong Hanni Tompunu Harisondak, Della Deviani Imanuel Hiskia Wagey Inda, Inda Indi Rahayu Ningsi Inggried Rillya Sondakh Irene Realyta Halldy Trosi Tangkawarow Irwan Irwan Jessa V Komaling Jonathan Kowaas Joy C. Rampi Julio Tabea Kambey, Waraney Maurits Kevin Mclaren Pandoh Kezya Tjanahu Krina Crisila T. Mawuntu Lisa Menden Lorentza Claudia Rianti Peres Tawaa Maria Rina Rumengan Mario Trinto Risky Rettob Marthasya Chantika Putri Ranti Martina Lorensa Medi Hermanto Tinambunan Medi Hermanto Tinambunan Melati Roring Moningkey, Efraim Moningkey, Efraim R. S. Moningkey, Efraim Ronald Stefanus Muhammad Lukmansyah Sulaiman Nanda, Agus Estepen Nasib Marbun Nelsi Timang Olivia Kembuan Pagala, J. Rifaldo parabelem tinno dolf rompas Peggy Veronica Togas Pesik, Luisa Maria Preisya Yunita Toar Prillya Chrisanta Esthefania Kawuwung Qnardo Delon Pateh Quido Conferti Kainde Rafter Johanes Karouw Rahellea Joiby Onibala Ratu, Regina Gloria Ravila Putri Pangalila Reski Wahyuni Rikna Aresta Lahutung Romeo Fernando Mikhael Dendeng Rumayar, Eroldy Saknohsiwy, Lorida Julensa Holiba Semuel Fendy Ngalo Sinta Tumbo Sondakh, Inggried Rillya Sondy C. Kumajas Sondy C. Kumajas Sondy Campvid Kumajas Stevanus Kembuan Stiven Panambunan Syalomita Cinta Tiara Pongmangatta Tinambunan, Medi Hermanto Tiwi, Heri Susan Tresya Veronika Deil Tular, Feonri Vivi Peggie Rantung Waraney Maurits Kambey Wayne Kemur Wilma Wijayanti Wowor, Hanna Elisabeth Yosita Rante Tando