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METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi
Published by Universitas Methodist Indonesia
ISSN : 24427861     EISSN : 26143143     DOI : https://doi.org/10.46880/mtk
Core Subject : Science,
Computer Science & IT
JURNAL METHODIKA diterbitkan oleh Program Studi Teknik Informatika dan Program Studi Sistem Informasi Fakultas Ilmu Komputer Universitas Methodist Indonesia Medan sebagai media untuk mempublikasikan hasil penelitian dan pemikiran kalangan Akademisi, Peneliti dan Praktisi bidang Teknik Informatika dan Sistem Informasi. Jurnal ini mempublikasikan artikel yang berhubungan dengan bidang ilmu komputer, teknik informatika dan sistem informasi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 271 Documents
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SISTEM IOT MONITORING SUHU MESIN DAN JARAK TEMPUH PADA SEPEDA MOTOR INJEKSI 4 - TAK DENGAN NOTIFIKASI PERAWATAN BERKALA Esi Apriani Bunga; Menhya Snae; Heni
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5963

Abstract

Motorcycles are the most widely used mode of transportation for people in their daily activities. Although modern 4-stroke injection motorcycles are equipped with temperature indicators and service reminders, these features are still very simple and cannot provide detailed and real-time vehicle condition information. Previous research generally only focuses on engine temperature monitoring or oil change reminders based on mileage, so they have not integrated both functions in a single Internet of Things (IoT)-based system. Based on these conditions, this study aims to design and implement an Internet of Things (IoT)-based system that integrates engine temperature and mileage monitoring and provides automatic periodic maintenance notifications. The system uses a DS18B20 sensor to monitor engine temperature, an A3144 Hall Effect sensor to calculate mileage based on wheel rotation, an ESP32 microcontroller as the main controller, and a Telegram Bot as a medium for sending notifications via a Wi-Fi network. Functional testing was carried out on engine temperature readings, mileage calculations, ESP32 connectivity to the Wi-Fi network, the LCD display, and sending Telegram notifications. The test results showed that all system components functioned according to the design. The DS18B20 sensor successfully monitors engine temperature and sends a Telegram notification when the temperature reaches ≥90°C, then sends a reminder every 2 minutes as long as the temperature remains at or above 90°C, and stops the notification when the temperature drops below 90°C. The A3144 Hall Effect sensor successfully calculates mileage based on wheel rotation, while the system automatically sends an oil change notification when the mileage reaches 2,000 km.
PENERAPAN REGRESI LINEAR BERGANDA DALAM MEMPREDIKSI POPULASI SAPI DI NUSA TENGGARA TIMUR Rithwan Bernadus Rissi; Sumarlin; Yohanis Malelak
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5966

Abstract

Nusa Tenggara is one of the largest beef cattle-producing provinces in Indonesia; however, the dynamics of the cattle population in this region show unstable fluctuations, including a sharp decline of 53.2% from 1,243,884 head (2022) to 581,918 head (2023). This study aims to analyze the influence of rainfall, feed availability, and beef production on the beef cattle population in East Nusa Tenggara, while also developing a prediction model based on multiple linear regression. Secondary data for the 2014–2024 period were obtained from the East Nusa Tenggara Central Statistics Agency. Missing values were imputed using quadratic interpolation and linear extrapolation. The regression model was estimated using Cramer’s rule and implemented in a Python-based prediction system with a Tkinter graphical interface. The research results yielded the regression equation  with a coefficient of determination R² = 0.570473, MAE = 98,348.3527 head, MSE = 13,841,152,103.80, and RMSE = 117,648.43 head. The predicted cattle population for 2025 is 628,276.38 head, indicating a recovery trend. This model serves as an initial tool for local governments in planning strategies for livestock population recovery in East Nusa Tenggara.
PENGEMBANGAN SISTEM INVOICE DIGITAL DENGAN FITUR AUDIT TRAIL UNTUK PELACAKAN TRANSAKSI MENGGUNAKAN PENGUJIAN USABILITAS PENGGUNA Aang Samsudin Samsudin; T Tara Wanesha
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5969

Abstract

PT. XYZ is a manufacturing industry supplier that uses invoices as official billing documents. However, invoice management is currently handled via Microsoft Excel, leading to potential recording errors, difficulties in data retrieval, and suboptimal monitoring of installment-based payments. Therefore, this study aims to design a website-based digital invoicing system to automate the recording process and provide payment status tracking features. The study employs a prototyping development method, enabling direct user involvement throughout the design process encompassing communication, quick planning and design, prototype construction, and delivery and feedback stages. The system is built using the Laravel framework to ensure a structured, secure, and scalable system tailored to the company's needs. Testing was conducted using the black-box method across 15 functional and interface scenarios covering input, processing, and invoice reporting. Results indicate an 88.67% success rate, with an average response time of under two seconds and a 5% error rate for key features, classifying the application as highly viable. Implementing this system offers practical benefits by improving operational efficiency in financial data reconciliation compared to the previous system.  
ANALISIS SYSTEM TRACKING DAN KEAMANAN KENDARAAN BERMOTOR MENGGUNAKAN ARDUINO DAN ESP32 William Sanro Umbu Muda; Mehya Snae; Yohanis Malelak
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5974

Abstract

Motor vehicle theft remains a leading criminal offense in Indonesia, highlighting the high vulnerability of factory-standard security systems. This situation underscores the urgent need for more adaptive technological innovations to enhance security and enable real-time vehicle tracking. This research focuses on developing an Internet of Things (IoT)-based vehicle security system integrated with location tracking capabilities. The study addresses the lack of an optimal comparative analysis regarding the performance of commonly used microcontrollers specifically the Arduino Uno and ESP32 within the context of tracking systems. System performance is evaluated based on three key parameters: GPS tracking accuracy (timestamp), data transmission latency (response time), and microcontroller power consumption efficiency. The findings aim to identify the superior and more efficient microcontroller platform, serving as a crucial reference for developers and researchers creating reliable, fast, and energy-efficient IoT-based vehicle security systems. The results indicate that the ESP32 outperforms the Arduino Uno R3; although the ESP32 exhibits higher power consumption and slightly lower location accuracy than the Arduino Uno R3, it offers a significant advantage: the ability to manage the SIM7600 module's functions and transmit data to the Blynk dashboard online capabilities that the Arduino Uno R3 lacks.
IMPLEMENTASI SISTEM PEMANTAUAN LEVEL AIR DAN ARUS LISTRIK POMPA SUMUR BOR MENGGUNAKAN HC-SR04 DAN ACS712 Adhy Syaputra Nge; Petrus Katemba; Heni
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5976

Abstract

Access to clean water is a vital necessity for communities, particularly in areas that rely on borehole wells as their primary water source. However, manually operating these pumps without an adequate monitoring system can lead to issues such as dry-running, energy waste, and pump damage caused by electrical current irregularities. This study aims to implement an Internet of Things (IoT)-based monitoring system for borehole pump water levels and electrical current using an ESP32 microcontroller. Unlike systems that focus solely on water availability, this study integrates water level monitoring (via an HC-SR04 sensor), electrical current monitoring (via an ACS712 sensor), and a low-water protection mechanism (using a float switch) into a unified system featuring real-time Telegram notifications. The research methodology encompasses a literature review, field observations, system design, hardware and software implementation, and functional testing of each system component. Test results demonstrate that the HC-SR04 sensor successfully detects water level changes, the ACS712 sensor accurately reads the pump's electrical current, and the system effectively triggers automatic protection via a relay when low water levels are detected. Additionally, the system activates a buzzer alarm and sends warning notifications to the user via Telegram. Functional testing confirms that all system components operate according to the design, offering a practical solution to enhance the safety and reliability of borehole pump operations through real-time remote monitoring.
PREDIKSI PENJUALAN KEBAB BERDASARKAN POLA HARI DALAM SEMINGGU MENGGUNAKAN METODE SARIMA Intan Maulida Hanum; Rudi Hariyanto; Muhammad Udin
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.6011

Abstract

Uncertainty regarding daily sales volume poses a challenge for inventory management in the culinary business, as it can lead to a mismatch between stock levels and demand. This study aims to apply the Seasonal Autoregressive Integrated Moving Average (SARIMA) method to forecast daily kebab sales using historical data from January 4, 2025, to January 3, 2026. The research process involved data preprocessing, splitting the data into training and testing sets, testing for stationarity using the Augmented Dickey-Fuller (ADF) test, identifying parameters via Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) plots, and selecting the best model based on the Akaike Information Criterion (AIC) value. The ADF test results yielded a p-value of <0.05, indicating that the data was stationary. The optimal model identified was SARIMA (1,0,1)(1,0,1)₇, with an AIC value of 2509.27. Model evaluation resulted in an MAE of 15.09 portions, an RMSE of 17.09 portions, and a MAPE of 48.52%; these figures indicate that the average prediction error remains relatively high due to daily sales fluctuations. The model predicts sales of 26–28 portions per day, making it a useful reference for determining daily production volumes and raw material inventory requirements.
IMPLEMENTASI KEAMANAN RUMAH PINTAR BERBASIS IOT DENGAN ESP32, SENSOR GERAK, KAMERA DAN NOTIFIKASI REAL-TIME MELALUI BLYNK & TELEGRAM Yosua Miha; Yohanes Suban Belutowe; Tri Ana Setyariny Tri Ana Setyariny
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.6044

Abstract

This study addresses the slow response of conventional home security systems, which typically only record footage without providing immediate alerts during suspicious activity. The system utilizes ESP32 and ESP32-CAM microcontrollers as the core units, alongside a Passive Infrared (PIR) sensor, magnetic door sensor, MQ-2 smoke sensor, DHT22 temperature sensor, and vibration sensor for detection. The research methodology encompasses hardware design, software development using the Arduino IDE, integration with the Blynk and Telegram platforms, and functional testing of all system components. Implementation results confirm the successful construction of the system and the effective integration of all components. Testing demonstrated that the PIR sensor detects motion up to 5 meters away, triggering the ESP32-CAM to capture an image (with a 4 second delay) and send a notification containing the image to Telegram (with a delay of less than 1 second). The magnetic door sensor operates without delay when the door closes but exhibits a 1.5 second delay when the door opens, while notifications to Blynk are sent instantly. The MQ-2 sensor registers values ​​below 200 in the absence of smoke and consistently exceeds 200 upon smoke detection, triggering a notification to Blynk. The DHT22 sensor does not send notifications at normal temperatures (28°C) but triggers an alert when the temperature exceeds 30°C. The vibration sensor sends notifications only when vibration is detected. All sensor data is processed by the ESP32 and transmitted to Blynk and Telegram via Wi-Fi. This research enhances security and environmental monitoring for weapon storage facilities, improving oversight through real-time integration with Blynk and Telegram
AUGMENTED REALITY SEBAGAI MEDIA EDUKATIF INTERAKTI DALAM PENGENALAN PAKAIAN ADAT LEMBATA PADA SISWA SEKOLAH DASAR INPRES DULITUKAN Marcello Bernado S. Balawala; Remerta Noni Na’aTonis; Petrus Katemba
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.6067

Abstract

This study aims to design and develop an Augmented Reality (AR) application as an interactive learning medium to introduce Lembata traditional clothing to students of SD Inpres Dulitukan. Through AR technology, traditional clothing objects are displayed in three-dimensional form that can be observed directly through digital devices, making the learning process more interesting, easier to understand, and not limited to conventional visual materials. In addition, the application is equipped with audio explanations regarding the meaning and characteristics of each traditional clothing, providing a more comprehensive and contextual learning experience. The research method used is the Multimedia Development Life Cycle (MDLC), which consists of data collection, analysis, design, media development, testing, and evaluation stages. This method was chosen because it is suitable for multimedia-based application development and allows the development process to be carried out systematically. The results of the study indicate that the developed Augmented Reality application runs well on Android devices and is capable of displaying Lembata traditional clothing objects in three-dimensional form along with automatic audio explanations. Based on the Black Box testing results, all application features functioned according to the design. In addition, the questionnaire results showed that students gave positive responses to the application because it was considered interesting, easy to use, and helpful in understanding the introduction to Lembata traditional clothing. Therefore, this application can be used as an interactive educational medium to support local cultural learning while also helping preserve regional cultural heritage through the application of modern technology.
IMPLEMENTASI AUGMENTED REALITY SEBAGAI MEDIA PERAGA INTERAKTIF PADA PEMBELAJARAN HUKUM MEKANIKA FLUIDA Matthew Chandra; Yohanis Malelak; Heni
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.6070

Abstract

Physics learning on Fluid Mechanics at State High School 1 Kupang faces obstacles due to students' difficulty in understanding abstract concepts using conventional methods. This study aims to design and implement an interactive Augmented Reality (AR) application on the Android platform to visualize 3D fluid mechanics objects. The development uses the Waterfall model, comprising needs analysis, UML design, implementation with Unity 3D and the Vuforia SDK (Marker-Based Tracking), and testing. System testing utilized Black Box testing for functionality and User Acceptance Test (UAT) questionnaires for user response, analyzed using descriptive quantitative methods on a sample of 30 students (n=30). The Black Box test yielded 100% validity without errors. Meanwhile, the UAT resulted in a feasibility score of 79.59%, categorized as "Good/Feasible". This research successfully produced a viable and innovative learning media application capable of increasing interactivity and students' conceptual understanding of Fluid Mechanics
ANALISIS SISTEM MONITORING TEKANAN BAN REAL TIME BERBASIS ESP32 DENGAN SENSOR TPMS PADA KENDARAAN BERMOTOR RODA DUA Albert Valentino Mata Rohi; Petrus Katemba; Semlinda Juszandri Bulan Bulan
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.6083

Abstract

Tire pressure is a critical factor affecting vehicle safety, riding comfort, fuel efficiency, and tire lifespan. Conventional tire pressure inspection is generally performed manually, making continuous monitoring difficult. This study aims to develop a real-time Tire Pressure Monitoring System (TPMS) based on the ESP32 microcontroller integrated with the Blynk Internet of Things (IoT) platform for monitoring tire pressure and temperature on two-wheeled motor vehicles. The system was developed using the prototype method, including requirement analysis, hardware and software design, implementation, and performance evaluation. Functional testing was conducted by comparing TPMS pressure readings with a standard tire pressure gauge and measuring the transmission latency from the ESP32 to the Blynk application under various operating conditions. The experimental results show that the proposed system achieved an average front tire pressure measurement error of 1.08% while rear wheel error averaged at 0.44% and an average data transmission delay of 0.431 millisecond, indicating that the system provides accurate measurements and fast real-time communication. Furthermore, the developed system successfully monitored tire pressure and temperature continuously, enabling early detection of abnormal tire conditions and supporting preventive maintenance. These findings demonstrate that the proposed IoT-based TPMS offers a practical, low-cost, and reliable solution for improving motorcycle safety through continuous tire condition monitoring.

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