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Jurnal Teknik Informatika dan Teknologi Informasi
Published by Lembaga Pengembangan Kinerja Dosen
ISSN : 28279379     EISSN : 28279387     DOI : 10.55606
Core Subject : Science,
Computer Science & IT
Jurnal Teknik Informatika dan Teknik Informasi (JUTITI) adalah jurnal ilmiah peer review yang diterbitkan oleh Politeknik Pratama. Jurnal Teknik Informatika dan Teknik Informasi (JUTITI) terbit dalam tiga edisi dalam setahun, yaitu edisi Februari, Juni dan Oktober. Kontributor Jurnal Teknik Informatika dan Teknik Informasi (JUTITI) berasal dari peneliti, akademisi (dosen dan mahasiswa) di bidang Teknik Informatika dan Teknik Informasi. Jurnal Teknik Informatika dan Teknik Informasi. memiliki fokus dan ruang lingkup yang terdiri dari: Computer Architecture Parallel and Distributed Computer Pervasive Computing Computer Network Embedded System Human—Computer Interaction Virtual/Augmented Reality Computer Security Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods) Programming (Programming Methodology and Paradigm) Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data) Network Traffic Modeling
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 220 Documents
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Sistem SOLART Berbasis ESP32 untuk Kendali Otomatis Lampu dan Tirai Berdasarkan Intensitas Cahaya Muhammad Ihsan Wafiudin; Achmad Solichan; Aris Kiswanto
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 6 No. 1 (2026): Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v6i2.7623

Abstract

Residential lighting and curtains are commonly controlled independently, limiting daylight utilization and increasing reliance on electric lighting. This study developed SOLART, an ESP32-based local embedded system that integrates automatic lamp switching and curtain actuation using ambient light intensity as the control variable. The prototype employed an LDR-LM393 module, a one-channel relay for a 5 W AC lamp, and a BTS7960 motor driver connected to a DC motor. A rule-based threshold of 100 lx was implemented in Arduino IDE with a two-second sampling interval. Functional and electrical tests were conducted on the controller, sensor, relay, motor driver, motor, and lamp. At 70 lx, the system switched the lamp on and closed the curtain; at 220 lx, it switched the lamp off and opened the curtain. The sensor estimates differed from lux-meter readings by 1.43% and 0.45%, respectively. Relay and motor measurements generally showed deviations below 6%. A 19.39% deviation in the BTS7960 control-voltage reading was attributed to the limitation of measuring a switching or PWM signal with a handheld multimeter and therefore requires oscilloscope verification. The results demonstrate functionally consistent dual-actuator local control without internet dependence, although broader calibration, response-time measurement, and long-term energy testing remain necessary.
Analisis Kinerja Load Balancing dan Failover Menggunakan Mikrotik RouterOS untuk Layanan Internet Multi-ISP Anggi Satria Putra Hari Agung; Ganjar Febriyani Pratiwi
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 6 No. 1 (2026): Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v6i1.7665

Abstract

The increasing demand for internet connectivity across various sectors requires a reliable, stable, and highly available network infrastructure capable of maintaining service continuity. Dependence on a single Internet Service Provider (ISP) often leads to service disruptions when connection failures occur, highlighting the need for an effective network redundancy mechanism. This study aims to analyze the performance of implementing load balancing using the Per Connection Classifier (PCC) method and failover on Mikrotik RouterOS within a multi-ISP network environment. An experimental research approach was employed, consisting of network requirements analysis, network topology design, implementation of load balancing and failover configurations, and network performance evaluation. The performance parameters observed included throughput, latency, and downtime to assess network reliability before and after the implementation of the proposed mechanisms. The results demonstrate that the load balancing mechanism effectively distributes network traffic across multiple ISP links, resulting in more efficient bandwidth utilization. Meanwhile, the failover mechanism successfully maintains service continuity by automatically switching traffic to the backup connection whenever the primary ISP experiences a failure. Furthermore, the implementation improved network throughput, stabilized latency, and ensured uninterrupted internet connectivity during ISP outages. Therefore, the integration of PCC-based load balancing and failover on Mikrotik RouterOS is proven to be an effective solution for enhancing network reliability and supporting high-availability internet services.
Design of a Web and Mobile-Based E-Learning Application as a Learning Support System for Students at SMP N 2 Pancur Batu Silvia Vanesa Br Ginting; Mendarissan Aritonang; Posma Lumbanraja
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 4 No. 3 (2024): Desember : Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v4i3.7733

Abstract

At SMPN 2 Pancur Batu, there is currently no adequate facility to manage and facilitate the delivery of learning information to support students' learning activities, including the provision of learning materials and assignments and the submission of assignments online. The school still primarily applies face-to-face learning methods. When teachers are unable to attend classes, lessons may be canceled or limited to assigning tasks without direct supervision. Similarly, students who are absent cannot participate in classroom learning as usual. Therefore, SMPN 2 Pancur Batu requires a web-based mobile E-Learning system that can be accessed anytime and anywhere to support the teaching and learning process without requiring face-to-face interaction. The system testing results indicate that the E-Learning application facilitates students and teachers in conducting online teaching and learning activities. Teachers can deliver learning materials, assignments, and quizzes efficiently, while students can access them online. The system also provides grade feedback through parents' email, allowing parents to receive notifications regarding students' learning outcomes. Validation results from five teachers based on seven assessment items obtained a score of 72.5%, categorized as "Good." Meanwhile, questionnaire results from 25 students based on 18 items obtained a score of 76.5%, categorized as "Good." The media expert evaluation achieved a score of 89.3%, categorized as "Very Good." These results indicate that the developed E-Learning system is suitable for supporting learning activities at SMPN 2 Pancur Batu.
Perancangan Aplikasi Berbasis Website pada UMKM Rental Motor Kukusan Menggunakan Metode Rapid Application Development (RAD) Sufia Auliah Salsabila; Hadi Wijaya; Nurul Aslamiah Istiqomah
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 6 No. 2 (2026): Agustus : Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v6i2.7752

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play an important role in driving economic growth and maintaining the stability of Indonesia's economy, particularly through the two-wheeled vehicle rental service sector, which contributes to meeting the public's transportation needs. One business operating in this sector is Rental Motor Kukusan, located in Depok City. However, the booking and data management processes at this business are still carried out manually, which potentially leads to operational inefficiency and hinders service delivery to customers. This study aims to design and develop a Website-based motorcycle rental application using the Rapid Application Development (RAD) method. Data were collected through observation, interviews using the 5W+1H approach, and a literature review. The developed system covers vehicle data management, customer data management, booking, rental approval, rental status monitoring, and financial administration. System testing was conducted using Black Box Testing, the System Usability Scale (SUS), and User Acceptance Testing (UAT). The test results show that all system features function as required, with a 100% success rate in Black Box Testing. The SUS test obtained a score of 78.65, which falls into the Good category, Grade B+, and is classified as Acceptable, while the UAT results yielded an average score of 4.6 out of 5, indicating a very high level of user acceptance. These findings indicate that the developed application is able to structure the data management and booking processes, improve operational efficiency, and make it easier for customers to obtain information and place orders online.
Deteksi Penyakit Daun Cabai Menggunakan Teknik Augmentasi Leafgan dan Deep Learning Model Ni Wayan Ariningsih; Ngakan Nyoman Kutha Krisnawijaya; Ni Luh Putu Ika Candrawengi; Adie Wahyudi Oktavia Gama
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 6 No. 2 (2026): Agustus : Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v6i2.7756

Abstract

Leaf diseases in chili plants, such as leaf spot and yellow virus, pose a significant threat to agricultural productivity in Indonesia, often leading to substantial economic losses for farmers. Traditional manual identification remains inefficient and highly dependent on individual expertise, which frequently results in inconsistent diagnosis. This research proposes an automated detection system utilizing the YOLOv8n deep learning architecture to provide a more reliable and real-time solution. A major hurdle in developing robust AI models for agriculture is the scarcity of balanced field dataset s and the presence of complex natural backgrounds. To address this, the study employs Leafgan , a generative augmentation technique capable of transforming healthy leaf images into realistic diseased samples while preserving the original field environment. By leveraging an attention mechanism, Leafgan  maintains high-frequency textural details, allowing the YOLOv8n model to generalize better across diverse environmental conditions. Data management is streamlined through the Roboflow platform to ensure consistent integration of primary and synthetic dataset s. The primary goal of this integration is to enhance model stability, aiming for a minimum mean Average Precision  (mAP) within actual plantation settings.
Rancang Bangun Sistem Manajemen Data “Medika” pada Apotek Bersama Plus menggunakan Metode Agile Scrum Muhammad Ikhsan; Nora Listiana; Hadi Wijaya
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 6 No. 1 (2026): Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v6i1.7765

Abstract

Drug data, customer data, and sales data management in pharmacies are still mostly done manually or semi-manually, potentially causing problems such as recording errors, data duplication, difficulties in searching for information, and delays in preparing reports. These problems impact operational efficiency and the quality of pharmacy services. This study aims to design and build a website-based pharmacy management information system at Apotek Bersama Plus to support more structured and integrated operational data management at Apotek Bersama Plus.  The system development method used is Agile Scrum with an iterative approach that divides the development process into four sprints over one month. Data collection was carried out through observation and interviews with pharmacies to identify system requirements. The developed system includes user authentication and management features, management of master data for categories, units, and drugs along with stock logs, customer data management, sales transaction recording, as well as dashboards, sales reports, and data export. Functional testing was conducted using Black Box Testing with the Equivalence Partitioning technique on 78 test cases and resulted in a 100% success rate. Usability evaluation was conducted using the Heuristic Evaluation method based on Nielsen's 10 principles involving two evaluators, resulting in an average severity rating of 1.18 which is included in the minor category, indicating that the system is suitable for use with minor improvements that do not hinder operation. The average severity rating is 1.18, which is in the minor category, indicating that the system is suitable for use with minor fixes that do not hinder operation.
Perancangan Sistem Pakar untuk Mendiagnosa Tingkat Kecanduan Siswa dalam Bermain Game Online di SMP Negeri 1 Padang Panjang Firandi Julian; Liza Efriyanti; Riri Okra; Sarwo Derta
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 6 No. 1 (2026): Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v6i1.7779

Abstract

This study seeks to build an expert system that can gauge how severely students at SMP Negeri 1 Padang Panjang are dependent on online gaming. The software is built following the stages of the Waterfall model, while the Certainty Factor method is employed to calculate confidence values when arriving at an addiction diagnosis. Five indicators serve as the basis for assessment: time spent playing, disruption to daily routines, shifts in emotional state, weakened social ties, and money spent on gaming. Information was gathered by interviewing students directly and observing their gaming behavior. Based on this information, the system sorts addiction severity into three tiers mild, moderate, and severe. It is hoped that the resulting diagnosis will make students more aware of their own condition and offer suitable steps to lessen the harmful effects of excessive gaming. The system is also intended to give parents and teachers a practical tool for tracking students' gaming habits, guiding them toward healthier, more balanced routines.
Analisis Desain Kontroler Daya Reaktif Otomatis pada Kapasitor Bank menggunakan Raspberry Pi Pico RP2040 Dio Amanda; M. Rizky.S; Beni Satria
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 6 No. 1 (2026): Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v6i1.7784

Abstract

The increasing demand for electrical energy in low-voltage distribution systems raises serious concerns regarding power quality, particularly low power factors caused by inductive loads like induction motors, transformers, and ballasts. Such conditions lead to higher reactive power consumption, voltage drops, line losses, and utility penalties. Conventional capacitor banks operated manually or via relays exhibit limited response speed and accuracy, motivating the development of microcontroller-based Automatic Power Factor Controllers (APFC). This study aims to design, analyze, and validate a simulation model of an APFC based on the Raspberry Pi Pico RP2040 employing a zero-crossing detection algorithm for reactive power compensation. The research adopts a quantitative simulation approach using MATLAB/Simulink R2023a. Five loading scenarios with initial power factors of 0.55–0.80 and inductive loads from 100 to 1000 W were tested under three conditions: uncompensated, fixed capacitor compensation, and automatic APFC compensation. The RP2040 platform was modeled using discrete-time blocks representing its 133 MHz dual-core processor, 12-bit ADC resolution, and 10 μs sampling period. Each scenario underwent 30 simulation iterations to obtain statistically representative data. The results demonstrate that the proposed system successfully increased the average power factor from 0.684 to 0.976, achieving an average switching response time of 36.3 ms and a phase angle measurement error of 1.82%. Paired t-test analysis (p < 0.001) confirms a statistically significant improvement in the power factor. These findings imply that the RP2040-based APFC offers an efficient, accurate, and economical model scalable for small-to-medium distribution systems supporting national energy conservation goals.
Enterprise Architecture Planning dalam Pelayanan Administrasi Pengajuan NIB untuk Pelaku Usaha dengan Menggunakan TOGAF ADM dan ACMM Score M. Rizeki Yuda Saputra; Muhammad Bayu Rahmani A. R.; Agus Firdaus; Suzana Dewi
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 6 No. 1 (2026): Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v6i1.7817

Abstract

The Business Identification Number (NIB) serves as the primary legal identity for business actors in Indonesia, issued through the Online Single Submission Risk-Based Approach (OSS RBA) system. However, NIB application services at the regional level still face challenges due to disconnected information systems and manual document verification between DPMPTSP and related technical agencies, preventing optimal service integration. This study aims to design an integrated Enterprise Architecture for the NIB application information system to eliminate these inter-system gaps. The methodology adopts the TOGAF Architecture Development Method (ADM) framework, covering four main domains: business, data, application, and technology architectures, evaluated using the Enterprise Architecture Capability Maturity Model (ACMM) Score. The design yields an Enterprise Architecture blueprint connecting all stakeholders digitally. The ACMM evaluation demonstrates an increased governance architecture maturity from an average of level 1 (Initial) in the current state to level 3 (Defined) in the target state. These findings provide strategic IT governance guidelines for DPMPTSP to enhance service efficiency, data consistency, and ease of doing business.
Analisis Pengelompokan Wilayah Penerima Bantuan Sosial Menggunakan Algoritma K-Means Clustering Dengan Visualisasi Peta Interaktif Berbasis Web : Studi Kasus: Kecamatan Parung Sukardi Hi Hasim; Zurnan Alfian
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 6 No. 2 (2026): Agustus : Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v6i2.7634

Abstract

Parung District, Bogor Regency, is one of the regions receiving social assistance sourced from the Integrated Social Welfare Data (DTKS). Distribution of social assistance in this area has been supported by available recipient data; however, the data has not been grouped and analyzed systematically based on regional or geographical distribution. Recipient data is still processed in tabular form using spreadsheet files, so related parties find it difficult to quickly identify villages with high, medium, or low concentrations of social assistance recipients. Without spatial visualization, the distribution pattern across regions is difficult to monitor, hindering decision-making related to distribution priorities and oversight. To address this issue, this study applies the K-Means Clustering algorithm to group regions of social assistance recipients based on location coordinates (latitude and longitude). The data used consists of 6,946 rows of Village Fund Direct Cash Assistance (BLT-DD) recipient data spread across 9 villages in Parung District. Data was grouped into three categories (High, Medium, Low), with the number of clusters validated using the Elbow Method and Silhouette Score. The system was implemented using Python with the Flask framework, a MySQL database, and Leaflet.js to display clustering results on an interactive web-based map. Testing shows that K=3 produced a Silhouette Score of 0.5367, verified through manual calculation with 100% agreement with the program output.

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