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INDONESIA
JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Published by STMIK Global Informatika MDP
ISSN : 24074322     EISSN : 25032933     DOI : -
Core Subject : Science,
Computer Science & IT
JATISI bekerja sama dengan IndoCEISS dalam pengelolaannya. IndoCEISS merupakan wadah bagi para ilmuwan, praktisi, pendidik, dan penggemar dalam bidang komputer, elektronika, dan instrumentasi yang menaruh minat untuk memajukan bidang tersebut di Indonesia. JATISI diterbitkan 2 kali dalam setahun (September dan Maret), makalah yang diterbitkan JATISI minimal terdiri dari 60% dari luar Sumatera Selatan, dan 40% dari Sumatera Selatan. Makalah yang diterbitkan melalui tahap review oleh reviewer yang berpengalaman dan sudah memiliki makalah yang diterbitkan di jurnal internasional yang terindeks SCOPUS.
Arjuna Subject : -
Articles 1,216 Documents
 111   112   113   114   115 
Blackbox Testing of Primakara University's New Student Admissions Information System (PMB) Based on Equivalence Partitions and SUS Questionnaire Subawa, I Made Ary
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.10731

Abstract

Primakara University has developed a New Student Admissions (PMB) information system that is used to facilitate prospective new students in registering anywhere. Therefore, it is necessary to test the New Student Admissions (PMB) information system of Primakara University to perfect the newly developed information system. Testing is carried out using the Blackbox method based on Equivalence Partitions aimed at finding out whether the information system being developed still has bugs or errors. Testing is also carried out using the SUS Questionnaire method to produce user perceptions regarding the New Student Admissions system being developed. The results of the blackbox test show that the system's functionality is running well, namely no errors were found. The results of the SUS Questionnaire test show that the New Student Admissions information system is in category D, namely OK.
SISTEM REKOMENDASI PEMILIHAN LAPTOP MENGGUNAKAN METODE KNOWLEDGE BASED (STUDI KASUS RIZKY COMP) FEBRYANTO, ADITYA NURRACHMAN
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.10885

Abstract

Recommendation systems have become an essential solution in assisting users to select products that meet their needs, particularly in technology sectors such as laptop selection. This study aims to develop a more accurate recommendation system by leveraging additional attributes such as processor type, RAM capacity, and user-specific requirements, such as gaming or graphic design. The research method employs a knowledge-based approach combined with user data, enriched by purchase history and prior preferences. Testing was conducted on diverse datasets to evaluate the system's performance across various scenarios. The results demonstrate that integrating additional attributes and historical data significantly enhances the relevance of recommendations. The system is also designed with an intuitive interface to facilitate user access. These findings highlight the potential for further development, particularly in applying machine learning methods to improve personalization and recommendation accuracy.
Perancangan Antarmuka Website Company Profile dengan Menggunakan Goal-Directed Design Pratama Putra, Raden Febrian Adjie; Perdanakusuma, Andi Reza; Syawli, Almira
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.10888

Abstract

Klinik Utama dr. Benggol was re-inaugurated recently with a new management team and services under “One-Stop Service” concept. This concept and re-inauguration gives the clinic a new identity as an integrated healthcare unit for the Ciliwung area. Various efforts were conducted to introduce the clinics new identity to the public, but the current website active website remains untouched and not showing changes happened within the clinic. This research aims to design a company profile website interface as a platform to deliver new services and information of the clinic. The Goal-Directed Design (GDD) method were used to systematically conduct the research. Starting with observation and interviews, persona creation, use case diagrams, user journeys, design and prototype testing based on scenarios and evaluation with the System Usability Scale method. The final prototype have overall great usability, shown by having efficiency score of 97,5%, effectiveness score of 95% and average SUS score of 77,5. Although there were several improvement suggested by the participant involved, the prototype can be used as a foundational instrument for developing a new website based on the clinic and it’s prospective users needs.
Implementasi Algoritma Vigenère Cipher pada Sistem Absensi Berbasis Web Menggunakan Metode Agile Cahya, Ersya Dwi; Rodianto, Rodianto
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.10889

Abstract

The rapid development of information and communication technology has significantly impacted various sectors, including business operations. However, challenges in securing sensitive data have become increasingly critical, particularly for organizations like PT Sinar Bali. The company faces issues with its manual attendance system, including inefficiencies, data processing delays, and risks of data breaches. To address these problems, this study developed a web-based attendance system integrated with the Vigenère Cipher algorithm to enhance data security and operational efficiency. The Vigenère Cipher provides a lightweight and effective encryption solution for protecting sensitive information such as employee names and identification numbers (NIK). The system was developed using PHP, the CodeIgniter framework, and MySQL database, employing Agile methodology. Black-Box testing confirmed the system's functionality, demonstrating seamless login, employee data management, attendance recording, and navigation. Real-time encryption ensures data security without compromising performance, with query execution times averaging 0.0004 seconds. This system meets all specified criteria, is ready for real-world implementation, and contributes to advancing secure information systems. Future enhancements may include two-factor authentication and automated reporting features to further optimize system functionality
Rancang Bangun Aplikasi Sistem Pakar Menggunakan Metode Forward Chaining untuk Mendiagnosa Penyakit pada Ayam Hasanah, Novi Aswatun; Rodianto, Rodianto; Yuliadi, Yuliadi
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.10890

Abstract

This research aims to design and implement a web-based expert system using the Forward Chaining method to diagnose poultry diseases in Penyaring Village, Moyo Utara District, Sumbawa Regency. The system is intended to help poultry farmers diagnose diseases in their chickens independently by selecting observed symptoms and receiving accurate diagnoses and solutions. The system employs the Forward Chaining method, which matches the input symptoms with rules in the knowledge base to deduce the possible diseases and appropriate solutions. The implementation of the system shows that it can accurately diagnose poultry diseases based on user-selected symptoms. Additionally, the system provides relevant solutions for disease management, including vaccination, biosecurity, and treatment. With its user-friendly interface, the system enables farmers to access diagnostic information without needing expert assistance. Black box testing confirms that all system features function as expected. The system can be used by administrators to manage disease data, symptoms, and rules, and by farmers to perform diagnoses and obtain solutions. This research aims to improve poultry health in areas with limited veterinary services.
Perbandingan Efektivitas Random Forest, SVM, dan Logistic Regression dalam Deteksi Intrusi Jaringan nanda, afri; wahyu, haditya; rahmaddeni, rahmaddeni; sutisna, sutisna; rinaldi, rinaldi
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.10908

Abstract

Seiring dengan kemajuan teknologi, ancaman serangan siber semakin meningkat, sehingga risiko kebocoran data pun semakin besar. Dalam beberapa tahun terakhir, Indonesia kerap kali menghadapi serangan siber yang mengakibatkan hilangnya data-data penting, baik data perorangan maupun data lembaga pemerintahan. Kondisi ini menunjukkan bahwa diperlukannya solusi yang efektif untuk mendeteksi dan mencegah ancaman siber agar keamanan dan privasi data dapat terlindungi secara menyeluruh. Salah satu metode yang efektif untuk mendeteksi ancaman siber adalah machine learning. Penelitian ini bertujuan untuk mengevaluasi model machine learning dalam mendeteksi intrusi jaringan secara real-time. Pendekatan yang digunakan adalah teknik supervised learning dengan dataset yang mencakup trafik jaringan normal dan trafik yang mengandung serangan untuk melatih algoritmanya. Tiga algoritma yang diuji dalam penelitian ini adalah Support Vector Machine (SVM), Random Forest, dan Logistic Regression. Berdasarkan hasil pengujian ketiga model pendeteksian intrusi jaringan, pemodelan dengan hyperparameter tuning menunjukkan bahwa metode Random Forest memiliki akurasi tertinggi sebesar 95,87%, diikuti oleh Support Vector Machine sebesar 94,31%, dan Logistic Regression sebesar 88,72%. Sementara itu, tanpa penyetelan hiperparameter, Random Forest mencapai akurasi tertinggi sebesar 97,12%, diikuti oleh Support Vector Machine dengan 93,71% dan Logistic Regression dengan 89,88%.
Evaluation of Real-Time Data Recording Performance Utilizing the Solar Guardian Application at Rooftop Solar Power Plants Anugra, Rifky; Sofijan, Armin
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.10913

Abstract

The Solar Guardian application was developed as a real-time monitoring solution for rooftop solar power plants to improve system efficiency and reliability. This study evaluates the performance of Solar Guardian in recording and analyzing the main parameters of a polycrystalline panel-based solar power plant with a maximum power of 100 Wp, a maximum voltage of 20 V, and a maximum current of 5.5 A. This system uses a 100 Ah VRLA battery, with monitoring of the panel output voltage, battery charging and discharging current, and energy storage efficiency. The results show that Solar Guardian is able to increase the efficiency of solar power plant monitoring by up to 20%, with early detection of system anomalies, such as decreased solar panel performance and power imbalance in the battery. This application also allows users to access operational data in real time through a cloud-based interface, making it easier to manage power and optimize energy utilization. In addition, the integration of IoT technology in Solar Guardian allows automation in data recording, thereby reducing delays in maintenance decision making. With the implementation of this application, solar power plants can operate more stably, increase energy storage efficiency, and optimize carbon emission reductions of up to 35.86 kg CO₂ per day. Keywords: Solar Guardian, solar power plant, real-time monitoring, energy efficiency, early detection
Penerapan Machine Learning Algoritma Random Forest Dalam Menganalisis Dampak Rasio Perbankan Terhadap Pergerakan Saham Diantini, Ni Luh Putu Ayu
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.10917

Abstract

This research examines the influence of bank-specific financial ratios on stock price movements of Indonesia’s Big Four banks (BBCA, BBRI, BMRI, and BBNI) using a machine learning approach with the Random Forest algorithm. The research utilizes the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework using quarterly data from Q2 2019 to Q2 2024, which consists of 6 key financial ratios, namely Return on Equity (ROE), Return on Assets (ROA), Net Interest Margin (NIM), Non-Performing Loans (NPL), Loan to Deposit Ratio (LDR), and Capital Adequacy Ratio (CAR), and also the stock price. Results indicate that ROE, CAR, and NPL significantly affect stock prices, with ROE being the most impactful predictor and NIM being the least. The Random Forest model achieved high predictive accuracy, validated by evaluation metrics such as MAPE and R². A practical interface was also developed using Streamlit to facilitate analysis and decision-making. This research highlights the potential of machine learning to enhance financial analysis and provides a foundation for further exploration with expanded datasets and alternative models.
Optimalisasi LAN Untuk Kualitas Service File Transfer Di PT. Telkom Gambir Tengangatu, Paul Filson
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.11101

Abstract

The use of File Transfer at Telkom Gambir is important, because this Telkom Company Branch consists of divisions that play an important role in the installation and maintenance of GPON networks in Central Jakarta. Therefore, the author seeks a way to improve the quality of File Transfer services on the performance of the LAN network and the Telkom Gambir network topology by creating a simulation using Riverbed Modeler. Then the author compares the simulation using traffic shaping techniques and bandwidth management techniques that are known to the author, to improve the quality of File Transfer services on the Telkom Gambir network. By analyzing the results of the Global Statistics simulation from the File Transfer scenario and comparing the scenario with the current running system. Based on the author's analysis, setting limits on the Access Point is the best scenario to improve the quality of service of File Transfer. This is because setting limits on the Access Point in addition to having better quality of service performance than the current system also provides the best Traffic Received and Traffic Sent from all scenarios.
Komparasi Metode Peramalan Dalam Meramalkan Permintaan Layanan Wajib Pajak Putrananda, Aldy Prasetyo; Siagian, Bekman
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.11106

Abstract

Through the effectiveness and efficiency in carrying out its service functions, Directorate General of Taxes (DGT) can enhance taxpayer satisfaction, which in turn will encourage increased taxpayer compliance. The growth in the number of registered taxpayers, accompanied by an increase in the demand for tax services, underscores the urgency for DGT to develop strategies for forecasting the future demand of tax services. This will ensure that DGT can maintain a high level of taxpayer satisfaction. However, no single forecasting method can be universally applied to all conditions. Therefore, this study aims to identify forecasting methods that can be utilized by DGT to predict future demand for tax services. Among several forecasting methods tested in this study, including gradient boosting, naïve level, naïve seasonal, and Holt-Winters, Holt-Winters Additive method was found to be the most suitable. This method yielded RMSE of 30.518,451 ± 8.015,402, MAE of 24.691,949 ± 3.048,462 and MAPE of 8,16% ±1,76%.

Page 113 of 122 | Total Record : 1216

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