cover
Contact Name
Muhammad Iqbal
Contact Email
halopublikasi@hawari.id
Phone
+6281269617312
Journal Mail Official
redaksijnastek@hawari.id
Editorial Address
Jl. Sei Batu Gingging Ps. X No.33, Padang Bulan Selayang I, Kec. Medan Selayang, Kota Medan, Sumatera Utara 20153
Location
Kota medan,
Sumatera utara
INDONESIA
Jurnal Nasional Teknologi Komputer
Published by CV. HAWARI
ISSN : 28087801     EISSN : 28084845     DOI : -
Core Subject : Science,
Jurnal Nasional Teknologi Komputer di bidang ilmu komputer dan teknologi. Jurnal JNASTEK diterbitkan oleh CV. Hawari. Redaksi mengundang peneliti, praktisi, dan mahasiswa untuk menulis perkembangan ilmiah di bidang-bidang yang berkaitan dengan teknologi informasi, teknik informatika dan sistem komputer. Jurnal JNASTEK terbit 4 (Empat) kali dalam setahun pada bulan Januari, April, Juli dan Oktober. Jurnal ini berisi artikel penelitian dan kajian ilmiah.
Articles 341 Documents
Pengembangan Sistem Booking Online pada Barbershop Mr. Klimis Berbasis Website Menggunakan QR Code untuk Meningkatkan Efisiensi Layanan Bisnis Habi Tri Surya Ananda; Hendry; Zulfahmi Syahputra
Jurnal Nasional Teknologi Komputer Vol 6 No 4 (2026): Oktober 2026
Publisher : CV. Hawari

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Abstract

The rapid development of information technology has encouraged service businesses to improve service quality through the digitalization of business processes. Mr. Klimis Barbershop still manages service reservations and customer queues manually, resulting in long waiting times, recording errors, and increased administrative workload. This study aims to develop a web-based online booking system integrated with QR Code technology to improve business service efficiency at Mr. Klimis Barbershop. The system was developed using the System Development Life Cycle (SDLC) with the Waterfall approach, consisting of requirements analysis, system design, implementation, testing, and maintenance stages. The application was built using the Laravel framework and provides features such as barber selection, service time slot selection, queue management, automatic booking code generation, and an administrative dashboard. QR Code technology is implemented as a quick access medium to the booking system, enabling customers to make reservations more conveniently. System testing was conducted using the Black Box Testing method to ensure that all functionalities operated according to user requirements. The results indicate that the developed system simplifies the reservation process, improves queue management, reduces administrative workload, and enhances service quality and operational efficiency at Mr. Klimis Barbershop.
Klasterisasi Pola Curah Hujan Berdasarkan Data Alat Pengamatan Menggunakan Hierarchical Cluster Analysis (Studi Kasus: BMKG Wilayah Sumatera Utara) Edy Sarwono Ponco; Zulham Sitorus; Khairul
Jurnal Nasional Teknologi Komputer Vol 6 No 4 (2026): Oktober 2026
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The planning of hydrometeorological disaster mitigation, water resource management, agriculture, and regional spatial planning is highly dependent on the weather. The diverse geographical conditions of North Sumatra can cause significant variations in rainfall patterns between regions. The objective of this research is to cluster rainfall patterns based on BMKG observation data in the North Sumatra region. This is done using the hierarchical cluster analysis method. The stages of data preprocessing, standardisation, distance measurement between objects, dendrogram formation, and determination of the number of clusters are used to analyse rainfall data to systematically identify the similarities in rainfall characteristics between observation stations. The clustering results show that areas are grouped based on similar rainfall patterns, with each cluster representing different levels of rainfall. These results can help us understand the distribution of rainfall in North Sumatra and assist in making decisions about climatology, disaster mitigation, and regional planning. This study shows that hierarchical cluster analysis can be used as an analytical method to accurately group rainfall patterns based on meteorological observation data.
Optimasi Klasifikasi Kerawanan Gempa Bumi di Wilayah Sumatra Utara Berbasis Spatio-Temporal AutoML dengan Bayesian Optimization Menggunakan Data Historis Seismik Albertus Tua Simanullang; Khairul; Zulham Sitorus
Jurnal Nasional Teknologi Komputer Vol 6 No 4 (2026): Oktober 2026
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Abstract

Earthquakes are one of the most uncertain geological disasters and have the potential to cause significant damage in North Sumatra. The pattern of earthquake occurrences is influenced by complex tectonic conditions, which are affected by changes in seismic activity over time and the characteristics of the location. The aim of this research is to develop a spatiotemporal-based AutoML earthquake vulnerability classification model optimised with Bayesian optimisation methods. The seismic data used includes epicentre coordinates, depth, magnitude, time, frequency, and distance from active earthquake sources. Data preprocessing, spatial and temporal pattern analysis, feature engineering, vulnerability class determination, training several classification algorithms through an automated machine training framework, and hyperparameter optimisation using Bayesian optimisation. To assess the model's performance, accuracy, precision, recall, F1-score, area under the curve, and confusion matrix metrics are used. To reduce the possibility of bias and ensure that the model can be generalised to various locations and periods of occurrence, spatial and temporal validation are used. It is expected that the research results will produce a classification model with higher accuracy and stability than conventional classification methods. Next, the best model is used to divide the area into low, medium, and high vulnerability categories. It is hoped that this research will help develop a more adaptive, objective, and efficient data-based earthquake vulnerability mapping system that will assist in the decision-making process and disaster mitigation planning in the North Sumatra region.
Klasifikasi Potensi Bencana Ekstrem Hidrometeorologi di Kota Medan Menggunakan Algoritma Random Forest Dengan Teknik Purposive Sampling Indra Wadiasto; Khairul; Zulham Sitorus
Jurnal Nasional Teknologi Komputer Vol 6 No 4 (2026): Oktober 2026
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Abstract

One of the threats that can endanger society is extreme hydrometeorological disasters, especially in cities with high construction activity and population density. Due to weather changes and local environmental characteristics, Medan City, one of the major cities in Indonesia, is vulnerable to hydrometeorological events such as floods, extreme rainfall, strong winds, and puddles. This study uses the Random Forest algorithm and purposive sampling technique to classify the likelihood of extreme hydrometeorological disasters in the city of Medan. The data used is based on specific criteria relevant to disaster potential indicators, such as topographic conditions, land use, population density, and rainfall. The Random Forest method is used because it can process data with many variables and make accurate classifications through the combination of several decision trees. The research results are expected to classify the areas of Medan City based on their disaster potential: low, medium, or high. This category can be used as a basis for spatial planning, mitigation strategies, and decisions made by the government and relevant parties to reduce the risk of hydrometeorological disasters in the City of Medan.
Klasifikasi Pola Iklim Bulanan di Sumatera Utara Menggunakan Jaringan Syaraf Tiruan Multilayer Perceptron (MLP) Pada Historis Dataset BMKG Sriwahyuni; Khairul; Rian Farta Wijaya
Jurnal Nasional Teknologi Komputer Vol 6 No 4 (2026): Oktober 2026
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Abstract

Based on historical data from BMKG, the Multilayer Perceptron Neural Network (MLP) is used in this study to classify monthly climate patterns in North Sumatra. A machine learning approach is necessary to identify more accurate patterns due to the differences in nonlinear climate elements such as rainfall, temperature, humidity, and air pressure. This research uses a quantitative approach with the MLP model. BMKG data is processed through preprocessing stages, which include monthly feature formation, normalisation, and cleaning. The model is trained with the backpropagation algorithm to optimise the climate pattern classification process. The research results show that MLP is capable of capturing seasonal variations, especially during the transition periods, and can classify monthly climate patterns with high accuracy. Model evaluation indicates stable performance based on accuracy, precision, recall, and F1 score metrics. For classifying monthly climate patterns in North Sumatra, MLP is effectively used. This can also serve as an alternative to the BMKG historical data-based prediction methods that are more suited to nonlinear climate patterns.
Perancangan Desain Ui/Ux Aplikasi Pemesanan Makanan Berbasis Android Pada Rumah Makan Permata Minang Menggunakan Metode Design Thinking Nabila Latifah; Randi Rian Putra; Sri Wahyuni
Jurnal Nasional Teknologi Komputer Vol 6 No 4 (2026): Oktober 2026
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Advancements in information technology have encouraged various MSME sectors including Rumah Makan Permata Minang to leverage digital technology to enhance service quality. However, manual food ordering processes often lead to issues such as recording errors and long wait times. This study aims to design the User Interface (UI) and User Experience (UX) for a food ordering application using the Design Thinking method, thereby providing a solution centered on user needs. The Design Thinking process comprises five stages: Empathize, Define, Ideate, Prototype, and Testing. In the final testing stage, the researcher evaluated the design's viability with potential users to gather feedback on functionality and usability, based on the prototype developed to address identified issues. The System Usability Scale (SUS) method was employed to assess the usability and ease of use of the developed design. Test results indicate that the designed prototype delivers an improved user experience and meets user needs. This study is expected to serve as a reference for developing food ordering applications that are effective, efficient, and user-friendly, ultimately enhancing service quality and customer satisfaction at the restaurant.
ANALISIS PREDIKSI TINGKAT KEHADIRAN SISWA MENGGUNAKAN ALGORITMA NAIVE BAYES DAN LOGISTIC REGRESSION M. Azhari Rizko; Muhammad Iqbal; Muhammad Syahputra Novelan
Jurnal Nasional Teknologi Komputer Vol 6 No 4 (2026): Oktober 2026
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Student absenteeism, particularly unexcused absence, remains a critical challenge in basic education management that negatively impacts academic continuity and increases dropout risks. This study presents a predictive analysis model for student absenteeism levels using two machine learning algorithms: Naïve Bayes and Logistic Regression, applied to 1,533 active student records from SMP Negeri 5 Stabat across the 2021-2025 academic years. Predictor features comprise demographic factors, accessibility metrics, and parent socioeconomic indicators. Automated data processing was executed via a Python API backend connected directly to a MySQL database across five computational stages. Model evaluation was conducted under three train-test split scenarios (70:30, 80:20, and 90:10). Empirical results demonstrate that Logistic Regression consistently outperformed Naïve Bayes across all testing configurations. The highest classification performance was achieved by Logistic Regression under the 90:10 split ratio with an accuracy of 84.42%, while achieving 84.36% accuracy, 0.8421 precision, 0.8436 recall, and an F1-score of 0.8422 under the standard 80:20 split ratio. Conversely, Naïve Bayes yielded inferior generalization due to feature multicollinearity, recording its lowest performance at 62.34% under the 90:10 ratio and 64.17% under the 80:20 ratio. Sigmoid logit transformation in Logistic Regression proved highly robust in handling interdependent socioeconomic and demographic attributes. These findings confirm the efficacy of LR-based Decision Support Systems for early warning intervention in educational institutions.
Desain Ui/Ux Sistem Informasi E-Rapor Berbasis Website Di Sdn 050661 Menggunakan Metode User-Centered Design T. Amanda Syahrani; Heni Wulandari; Heri Kurniawan
Jurnal Nasional Teknologi Komputer Vol 6 No 4 (2026): Oktober 2026
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Setiap kemajuan teknologi akan membawa pengaruh yang besar terhadap kehidupan manusia. Salah satu manfaat dari perkembangan teknologi yaitu dalam bidang pendidikan bertujuan agar dapat terciptanya sistem yang dapat berguna bagi para tenaga pendidik dalam mendukung kegiatan pengelolaan data akademik secara efektif dan juga efisien. Salah satu contoh permasalahan yang cukup sering ditemui yaitu di lingkungan sekolah dasar. Permasalahan yang sering ditemukan pada lingkungan sekolah dasar adalah proses pengelolaan nilai dan penyusunan rapor yang dianggap belum terlaksana secara optimal bagi para guru, sehingga hal ini dikhawatirkan dapat menyebabkan timbulnya keterlambatan dalam pembagian nilai akhir siswa, kesalahan dalam proses pencatatan nilai rapor, dan mengakibatkan terbatasnya akses informasi bagi para siswa dan guru. Penelitian ini bertujuan untuk merancang desain antarmuka dan pengalaman pengguna (UI/UX) pada Sistem Informasi E-Rapor berbasis website di SDN 050661 menggunakan metode User-Centered Design (UCD). Metode User-Centered Design (UCD) pada penelitian ini digunakan untuk menetapkan desain sistem yang dirancang agar berfokus berdasarkan kebutuhan dan kenyamanan para pengguna. Proses perancangan sistem ini dilakukan melalui beberapa tahapan yang meliputi identifikasi kebutuhan pengguna, perancangan desain awal sistem, serta evaluasi desain berdasarkan prinsip usability. Dalam proses perancangan desain ini, sistem yang dirancang mencakup fitur utama seperti pengelolaan data, rekap nilai, serta akses rapor oleh siswa dan orang tua siswa secara digital. Tahapan penelitian ini dimulai dengan pengumpulan data melalui proses observasi, wawancara terhadap para penggguna, dan studi literatur untuk proses identifikasi permasalahan yang terjadi pada proses pengelolaan nilai dan juga proses penyusunan rapor di SDN 050661 kwala bingai.
Perancangan UI/UX Sistem Informasi Laundry Berbasis Website pada Bakti Laundry Menggunakan Metode Design Thinking Fredy Wahyudi Tarigan; Heri Kurniawan; Sri Wahyuni
Jurnal Nasional Teknologi Komputer Vol 6 No 4 (2026): Oktober 2026
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The development of information technology is driving digital transformation in various business sectors, including laundry services. Bakti Laundry as one of the laundry service providers still faces some obstacles in the management of services and interactions with customers, such as limited information on order status, the recording process that is not optimal, as well as the lack of effective communication media between customers and managers. This research aims to design a User Interface (UI) and User Experience (UX) Website-based Laundry Information System on Bakti Laundry using the Design Thinking method to produce a system design that suits the needs of users. The Design Thinking method consists of five stages, namely empathy, define, ideate, prototype, and testing. In the quadriced stage, data collection is carried out through observation, interviewing, and dissemination of questionnaires to customers to identify the needs and problems faced in the use of laundry services. The defines stage is used to formulate the functional and nonfunctional needs of the system. Furthermore, the ideate stage produces a variety of design solutions that are poured in the form of user flow, wireframe, and sitemap. The prototype stage is done by designing the interface using the Figma application so as to produce a prototype website-based laundry information system. At the testing stage, the prototype is tested using the System Usage Scale (SUS) method to measure the level of user usability and satisfaction. The results showed that the resulting UI/UX design was able to provide a better user experience.
Desain UI/UX Game-Based Edukasi Literasi Keuangan Di SMA Swasta Panca Budi Menggunakan Metode User Centered Design Adinda Silvana Dewi; Heni Wulandari; Heri Kurniawan
Jurnal Nasional Teknologi Komputer Vol 6 No 4 (2026): Oktober 2026
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The low level of financial literacy among adolescents is a serious challenge, as the National Survey of Financial Literacy and Inclusion (SNLIK) shows that the financial literacy index for the 15-17 age group is only 43.28%, far below the inclusion rate of 69.21%. This 25.93% gap indicates that adolescents have access to digital financial services but lack adequate risk understanding. This study aims to design a game-based learning UI/UX for financial literacy at Panca Budi Private High School using the User Centered Design (UCD) method. The main problem addressed is the irrelevance of conventional learning methods for tech-savvy Gen Z. The proposed solution is a smart game prototype that integrates budget management simulations and financial risk management. The prototype testing results using the System Usability Scale (SUS) showed an average score of 79,8 (Good category), indicating that the interface design is highly intuitive. This research proves that the UCD approach can bridge students' needs for interactive learning media, while potentially increasing the effectiveness of financial education by up to 35% compared to traditional lecture methods.