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INDONESIA
JURNAL ILMIAH INFORMATIKA
Published by Universitas Putera Batam
ISSN : 23378379     EISSN : 26151049     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Teknologi Informatika dan Sistem Informasi Fakultas Teknik dan Komputer UPB, telah menerbitkan publikasi ilmiah dengan topik yang mencakup tentang Information System, Geographical Information System, Remote Sensing, Cryptography,artificial intelligence, Computer Network, Security dan Database.
Arjuna Subject : -
Articles 190 Documents
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PERANCANGAN SISTEM INFORMASI BOOKING WEDDING PLANNER BERBASIS WEBSITE PADA HARUM SENJA DECORATION Selvira, Annisha; Bangun, Elsi Titasari Br; Maulana, Galih Suryo; Karuniawati, Sri
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10624

Abstract

Harum Senja Decoration, a wedding planning service provider, previously relied on social media platforms like Instagram for marketing and bookings. This process was done manually, resulting in the risk of confirmation delays and recording errors. This study aims to design a website-based booking information system to improve the efficiency, accuracy, and ease of booking services for prospective brides and grooms. The development method used is the Prototype model, which allows for gradual system improvements based on user feedback. The development stages include needs analysis, system design (use case diagrams, activity diagrams, sequence diagrams, class diagrams, and flowcharts), and implementation with HTML, CSS, JavaScript, and XAMPP for the database. System testing used the Black-Box Testing method, ensuring all functions run according to specifications. The result of this study is a web-based information system that includes login features, package booking, payment, data management by admins, and automatic notifications. With this system, the booking process is more structured, faster, and can be monitored in real-time by users and managers. This system is expected to provide solutions to previous operational problems and improve the quality of digital wedding planning services.
PERANCANGAN WEBSITE PEMESANAN TRAVEL ONLINE PADA PT NETRAL LINTAS NUSANTARA Fitri, Nabila Aura; Amelia, Nabila; Zain, Nayla; Hikmal, Hikmal; Pragani, Saydripo
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10626

Abstract

As work to the literature, it uses design and development of the long distance online web-based ticketing system on PT Netral Lintas Nusantara as inter city land transportation with based on Pekanbaru, Riau. There are problems inherent from the current manual ticketing system among which are slow ticketing process to the services, high chances of human errors to the data entry and limited reach of the customer service. The main objective of this study is to develop computerized booking and ticketing system on-line that will minimize of ticketing and booking and expose brethren in Christ, to global network, such that there would be access to airports with investment in the international and local and international airline and flight, which users can upload the softcopy of card to board their flight. Discretion is also designed to solve the existing system inadequacies through system requirement analysis, database design and website development method. The antinicipated output of the design is a remarkable performance enhancement of PT Netral Netral Lintas Nusantara's operational system, 24/7 service expansion in real time to customers, and an enormous administration manual usage reduction. In this information age, the official launching of the website is a key action in modernising services that enables the company to enhance competitiveness on the digital platform.
PERANCANGAN WEBSITE MONITORING GANGGUAN INTERNET DAN MENGGUNAKAN UML (STUDI KASUS: PT. FAZNET) Irfan, Muhamad; Nasrullah, Dinda Maharani; Angelina, Viola; Setiawan, Rahmat; Hafiz, Fakhri
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10631

Abstract

This research brings to light an urgent dilemma pervading the broadband service supplying sector exemplified by PT. Faznet.Presently, clients have difficulties effectively communicating interruptions owing to manual processes providing scant network performance information. Addressing this communication vacuum, we propose a wireless network monitoring web portal engineered to dynamically present internet conditions in real time (speed, signal quality, status) and enable two-way interactions through disturbance reporting, maintenance advisories, and status updates. The developmental approach applies the Unified Modeling Language (UML), starting with Use Case Diagrams to model user requirements, progressing to Activity Diagrams detailing work processes, Sequence Diagrams sequencing intercomponent operations, and lastly Class Diagrams outlining software structure. It is expected that implementing this system will notably amplify transparency and responsiveness to better serve customers of PT. Faznet. This paper investigates a key challenge in sharing network performance data and service issues with subscribers of an internet provider. The suggested remedy involves designing an online dashboard displaying current network metrics and a feedback mechanism for users and technicians to exchange information on problems, repairs, and network status. System architecture and evolution adheres to modeling best practices to map workflows, message passing, and class relationships with the goal of vastly improving availability of network intelligence to customers while strengthening support reactivity. This aims to boost satisfaction levels among the user base of the featured broadband corporation.
SECURITY TESTING (WHITE BOX PENETRATION TESTING) PADA AUTHENTICATION SISTEM LOGIN WEBSITE Luthfi, Amar; Nurkifli, E. Haodudin; Maulana, Iqbal
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10660

Abstract

In 2024, according to the 2024 Indonesian Cybersecurity Landscape by the National Cyber Security Agency (BSSN), Indonesia experienced a total of 330,527,636 anomalous traffic. The highest traffic occurred in December with 112,085,045 traffic, and the lowest in May with 12,273,078 traffic. The impact of this leak is very broad, causing the risk of phishing, account hijacking, identity theft, ransomware attacks on companies, and misuse of business email. Based on this background, this study aims to minimize the many attacks that occur in the cyber world, especially on website applications. By using the Security Testing method (White Box Penetration Testing). The MD5 algorithm is still effective in protecting passwords in databases from SQL injection attacks that use common username and password combinations and on websites that use PHP without JavaScript is proven safe from Cross-Site Scripting attacks.
PREDIKSI PENERIMAAN MAHASISWA BARU UNIVERSITAS SINGAPERBANGSA KARAWANG DENGAN RANDOM FOREST Pamungkas, Mochammad Fitra; Sari, Betha Nurina; Maulana, Iqbal
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10662

Abstract

The selection of study programs and the selection process for new student admissions are crucial stages that have an impact on the smooth running of studies and students' future careers. However, this process is often still done subjectively, thus potentially causing a mismatch between interests, abilities, and the chosen study program. This research aims to implement the Random Forest algorithm, analyze the factors that influence acceptance, and determine the performance of the prediction model generated by the Random Forest algorithm in assisting new student admissions for the National Selection Based on Test (SNBT) pathway at Universitas Singaperbangsa Karawang. This research uses the Knowledge Discovery in Database (KDD) method which consists of 5 stages, namely Data Selection, Preprocessing, Transformation, Data Mining, and Evaluation. The data used was 815 new student data of Universitas Singaperbangsa Karawang, which included UTBK scores, school background, and choice of prospective student study programs. In the Transformation and Data Mining stages, 4 data splitting scenarios were carried out, namely 90:10, 80:20, 70:30, and 60:40. The best performance with the Random Forest model is generated by the 80:20 data splitting scenario with an accuracy value of 0.945, precision of 0.937, recall of 0.943, f1-score of 0.940 and AUC value of 0.983.
PENERAPAN ALGORITMA REGRESI LINIER BERGANDA UNTUK PREDIKSI STOK BARANG DI LABORATORIUM KLINIK PROLAB MEDIKA Komariah, Lilis; Arianto, Dede Brahma
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10666

Abstract

Manual stock management at Prolab Medika Clinical Laboratory often causes delays in reporting and potential errors in data recording. Accurate stock prediction is key to avoiding shortages or excess inventory that can disrupt laboratory operations. This research aims to develop a web-based stock prediction system using machine learning to improve inventory management efficiency. The machine learning method applied is Multiple Linear Regression with variables of incoming stock, remaining stock, and outgoing stock obtained from laboratory historical data. The research results show that the system is able to predict stock requirements with a good level of accuracy based on evaluation using Mean Absolute Percentage Error (MAPE), Mean Squared Error (MSE), and R² Score, and provides real-time reports that facilitate the head of logistics in decision making.
APLIKASI PENGAJUAN PROPOSAL BANTUAN PADA DINAS PETERNAKAN KABUPATEN SIDENRENG RAPPANG Darma, Humairoh Salsabila; Marlina, Marlina; Yunus, Mughaffir
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10678

Abstract

The livestock sector is a leading sector after agriculture. This is evident in the numerous livestock businesses, both large and small, that are developing in the Sidenreng Rappang area. However, in supporting the development of this sector, the current process for submitting assistance proposals still faces various obstacles, such as a manual submission system, inefficient processes, and a lack of transparency in verification and selection. Due to these obstacles, farmers can now submit assistance proposals electronically through this application. The integrated system within this application will enable a more transparent proposal selection process and real-time access by relevant parties, including the livestock service. The development method used in creating this application is R&D, which includes needs analysis, system design, implementation, testing, and maintenance. One of the stages is an information system built using a web-based system and a database system as its storage medium. This system was built using PHP and MySQL, then integrated with PHPMyAdmin using XAMPP as the local host. Furthermore, this application also helps the Sidenreng Rappang Regency Office provide an effective and efficient solution for the proposal submission process.
PENERAPAN METODE MAMDANI DALAM PREDIKSI JUMLAH MAHASISWA BARU TEKNIK INFORMATIKA UNIVERSITAS MUHAMMADIYAH PAREPARE Yunus, Ayuni; Yunus, Mughaffir; Masnur, Masnur
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10688

Abstract

This study aims to apply the Mamdani-type Fuzzy Inference System (FIS) to predict the number of new students in the Informatics Engineering Study Program at Universitas Muhammadiyah Parepare. The main problem addressed is the annual fluctuation in student enrollment, which complicates capacity and resource planning. The data used includes historical admission records and questionnaire results from 30 respondents, consisting of lecturers, administrative staff, and program management representatives. The analysis focused on three aspects: ease of use, security and reliability, and user satisfaction and benefits of the application. The results indicate that the Mamdani-based prediction application achieved high accuracy and received positive responses from users. The average agreement rate for ease of use was 90%, security and reliability 87%, and satisfaction and benefits 88%. The strength of the Mamdani method lies in its ability to handle linguistic input variables and uncertainty, providing adaptive and relevant prediction results. However, further development is recommended for the automatic backup feature and result verification mechanisms to enhance data security. Overall, the implementation of the Mamdani method for predicting new student enrollment has proven to be practically beneficial for study program management and provides a theoretical contribution to the application of fuzzy logic in higher education. This research can serve as a foundation for developing more advanced predictive models in the future.
SISTEM INFORMASI MANAJEMEN KEMITRAAN PT. JAPFA PADA BIDANG PETERNAKAN AYAM BROILER BERBASIS ANDROID Rijal, Muhammad; Marlina, Marlina; Yunus, Mughaffir; Masnur, Masnur
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10689

Abstract

This study aims to evaluate the implementation of PT. Japfa's Partnership Management Information System based on Android in supporting operational efficiency and enhancing partnership transparency in broiler chicken farming. The research focuses on three main variables: ease of use of the application, security and reliability of the application, and the benefits of the application for farmers. Using a quantitative approach with a descriptive design, data were collected through questionnaires distributed to 30 farmers partnered with PT. Japfa, and in-depth interviews were conducted to gather further insights into user experiences.The findings indicate that the application facilitates the management of farm operational data through an intuitive interface, and automation features that enhance financial reporting efficiency. However, some farmers requested more intensive training on how to use the application. In terms of security and reliability, the application successfully protects sensitive data and handles system errors effectively, though routine updates are still needed to improve security. Additionally, the application provides significant benefits in terms of partnership transparency, accelerating harvest reporting, and organizing feedstock management more effectively.This research contributes valuable insights into the development of technology-based applications for the livestock sector, particularly in information-based partnership management. Recommendations for future research include enhancing poultry health monitoring features and integrating data more comprehensively to support more efficient management.
SISTEM PEMANTAUAN KUALITAS AIR IKAN NILA MEDIA BIOFLOK MENGGUNAKAN ALGORITMA LSTM DAN SVM Nugroho, T. Arief; Angela, Dina; Yoel Wijaya, Yoel Wijaya
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10762

Abstract

Tilapia farming with biofloc systems faces challenges in maintaining water quality stability due to fluctuations in temperature and pH that can affect fish health. To overcome this, this research designs an Internet of Things (IoT)-based water quality monitoring system integrated with machine learning-based prediction and classification methods. The system is built using NodeMCU ESP8266, DS18B20 (temperature), and PH-4502C (pH) sensors. Historical data from the sensors is processed using the Long Short-Term Memory (LSTM) algorithm to predict the values of water quality parameters. Next, the predicted results are classified using a Support Vector Machine (SVM) into three categories: “Air Terlalu Asam”, “Kualitas Air Baik”, dan “Air Terlalu Basa”. The classification information is then automatically sent to the farmer via the Telegram application. Model testing showed very high performance, where the LSTM prediction model achieved an R-squared value of 0.8871 with a very low error rate (MAE: 0.0115; MSE: 0.0019; RMSE: 0.0436), while the SVM classification model managed to achieve an accuracy of 99.86%. The implementation of this system is expected to assist farmers in making quick and precise decisions, reduce the risk of fish mortality, and increase time and labor efficiency in biofloc pond operations..

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