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INDONESIA
Jurnal Infra
Published by Universitas Kristen Petra Surabaya
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Core Subject : Science,
Computer Science & IT
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Articles 1,338 Documents
 130   131   132   133   134 
Aplikasi War Game Pada Mobile Device Menggunakan Sensor Gyroscope dan Accelerometer Djuvan Pranoto; Andreas Handojo; Gregorius Satia Budhi
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

Currently technology has developed very rapidly. Along with the development of today's technology, a lot of games - games that have sprung up. The fact is that the game has become a daily activity in society. In today's technological developments, almost everyone has a mobile phone. Where this phone is easy to get and is very flexible. By combining current conditions, this research takes advantage of current technological advances and utilizes the flexibility of mobile phones to be implemented into an application that will become a means of shooting games. This application uses gyroscope and accelerometer sensors to complete this research. The goal is to create new interactions and experiences in mobile games and to create flexible shooting games using today's technology. The result of this research is the success of creating a war game. Which is where this application requires a strong signal and stable internet speed and must be played in an open place. On the other hand, this application has succeeded in providing accurate bullet trajectory distance calculations and bullet estimates with an average difference of ±1-3 meters.
Sistem Pakar Diagnosa Kerusakan Pada Mobil Toyota Innova Dengan Metode Backward Chaining Dan Certainity Factor Jason Aldrian; Djoni Haryadi Setiabudi
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

Car is one of the transportation that used commonly by human. Toyota Innova is one of the most favorite family car in Indonesia. Toyota Innova has a lot of type and variations that need to be handled. There is Manual transmission and Automatic Transmission. Damage to car cannot be taken so easily, Not only big damage that can cause breakdown. But small problems or damage to car can cause breakdown or failure, Small damage is need to handled too as important as big damage so it would not become fatal damage. Diagnostics on the car for people who don't really understand cars can be really confusing and the number of repair shops that are not honest in diagnosing damage will cause losses for car owners. If in an urgent situation this system can be used to find out what damage has occurred and make it possible to check and repair the damage to the car that occurred. This Expert System for Damage Diagnosis on Toyota Innova is using Forward Chaining and Certainty Factor as it’s method. Backward Chaining on this expert system is for collecting symptoms and facts that come into some conclusions so users don't have to answer all the questions. And the usage of Certainty Factor on this system to show the percentage of system belief on the diagnosis. So user can trust on the result of diagnose. The results of tests that have been carried out 20 times from tests by experts, There is 19 results that suitable with expert opinion. There is 1 result that is not suitable with expert opinion because of the inaccuracy of the CF percentage. As of that result user can still look for the solution in the damage encyclopedia. In this test, the percentage for detecting damage to the Toyota Innova car using the Backward Chaining method and Certainty Factor is 95% in accordance with expert opinion.
Sistem Tracking Pengiriman Barang Pada PT. Afro Angkasa Express Dengan Menggunakan Framework Laravel 8 Michael Yohanes Wicaksono; Alexander Setiawan; Kartika Gunadi
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

In this era of globalization, it is increasingly common for people to shop and sell their goods online. So that more and more shipping companies are there. With the increasing number of existing freight forwarding companies, PT Afro Angkasa Express must offer convenience and features to attract customers. The design of this goods delivery tracking system is intended to make it easier for PT Afro Angkasa Express customers to track goods. In addition, customers can place orders more easily through the website. Customers will also be provided with features such as on-site pick-up, so that PT Afro Angkasa Express will become one of the community's mainstays for goods delivery solutions. The Laravel 8 framework has advantages compared to other frameworks such as the Templating Engine feature that can design unique layouts and also reduce the impact of XSS (Cross Side Scripting) attacks.
Penerapan Metode Multiplicative Decomposition dan Autoregressive Integrated Moving Average dalam Prediksi Penjualan Produk Manufaktur pada PT. XYZ Melvin Soeharto; Silvia Rostianingsih; Leo Willyanto Santoso
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

PT. XYZ is a company engaged in the manufacture of drinking water (AMDK). PT. XYZ conducts product sales transactions in large quantities every day, so the large number of existing sales transactions will certainly affect the daily necessities inventory in the company. The problem that occurs in the company is regarding overstock and understock. Based on the problems that occur, the researchers will apply the Multiplicative Decomposition and Autoregressive Integrated Moving Average (ARIMA) methods to process a large number of sales-data which is used as information. So, the purpose of this study is to implement the Multiplicative Decomposition and Autoregressive Integrated Moving Average (ARIMA) methods to predict sales of mineral water goods at PT. XYZ. The test system will use the Mean Absolute Percentage Error (MAPE) method.
Sistem Backend dari Aplikasi Mobile dan Website untuk Sistem Registrasi, Reservasi, dan Identifikasi Penumpang Shuttle Bus UK Petra Michelle Christiana Chandra; Rolly Intan; Liliana Liliana
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

In 2022, Petra Christian University (PCU) launched its shuttle bus program exclusive to the academic community of PCU. This bus operates by picking up and dropping off passengers on the route of West Surabaya – PCU and vice versa. There are overwhelmingly many more members of the academic community of PCU residing in West Surabaya compared to the capacity of the shuttle bus. Registration, reservation, and identification systems are necessary to resolve this problem. The registration system ensures that the passengers are members of the academic community of PCU. The reservation system supports passengers in booking seats for the desired trips. The identification system authenticates the passengers when boarding the shuttle bus. The PCU shuttle bus program is operational and has been using the deployed application properly. Every function and API in the application passes the designed feature testing and matches the appropriate expectations. A survey was conducted of 76 passengers and 1 admin and 2 drivers were interviewed. From 76 passenger respondents, the average satisfaction score is 4.259 out of 5. From the 2 driver interviews, the application received a score of 8 and 10 out of 10. And lastly, the average satisfaction for the admin system and website is 4.75 out of 5.
Sistem Rekomendasi Pembelian Laptop dengan K-Nearest Neighbor (KNN) Sheeren Hendrik Anggela; Leo Willyanto Santoso; Justinus Andjarwirawan
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

Over a decade, the number of people who needs a laptop for their job is increased because of its slim design and internal battery that makes it easier to carry anywhere, if compare to an old-fashioned computer. However, the choices of laptop specifications are various, namely the laptop model, brand of the processor, the speed of processor, size of the screen, RAM, price, etc. Not all people knows the indicator of choosing the laptop that fit to their wants and needs. In this study, the process of recommendation system is used a methods namely K-Nearest Neighbor Collaborative Filtering. This method will estimate the distance with Euclidean formula between the users' criteria and the survey. The closest distance is considered as the recommendation. The data testing is done through counting the accuration based on the recommendation's result which is given to the user. The survey is used for counting the total of valid recommendation. he results of this study using a satisfaction survey that has been surveyed to 10 laptop shop employees. Based on the survey results, average accuracy of testing the recommendation results is 84%. Testing the appearance of the website is also quite good because most users give a value or rating of 4 or 5. Based on the testing results, it can be concluded that the appearance of the website and the results of recommendations with the K-Nearest Neighbor method is pretty good because they are in accordance with the criteria and needs of users.
Human Resources Web Application Penetration Testing Using PTES and OWASP Top 10
Jurnal Infra Vol. 14 No. 1 (2026): Jurnal Infra
Publisher : Universitas Kristen Petra

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Abstract

Web-based Human Resources (HR) applications store highly sensitive employee and organizational data, making them attractive targets for cyberattacks. This study presents a penetration testing assessment of a multi-tenant HR web application owned by PT. XYZ. The evaluation was conducted using a gray-box approach based on the Penetration Testing Execution Standard (PTES) and guided by the OWASP Top 10 (2021) framework. The testing process covered information gathering, threat modeling, vulnerability analysis, controlled exploitation, and post-exploitation analysis. The results reveal several critical and medium-risk vulnerabilities, including Broken Access Control in the form of Insecure Direct Object Reference (IDOR), security misconfigurations, outdated server components, and the absence of rate-limiting mechanisms in authentication features. These weaknesses could potentially lead to sensitive data leakage and account takeover attacks. This paper also provides concrete mitigation recommendations to strengthen access control, configuration hardening, and the overall security posture of the HR web application. 
Implementation of Multi-Agent with a Finite State Machine Approach in the Attendance Issue Reporting System at PT. XYZ
Jurnal Infra Vol. 14 No. 1 (2026): Jurnal Infra
Publisher : Universitas Kristen Petra

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Abstract

Operational issues in digital attendance systems such as recognition errors, network disruptions, or forgotten credentials are still frequently reported through informal channels, resulting in unstructured records that are hard to trace and prone to duplication or fraud. This study proposes a conversational, report-driven attendance incident system that combines a multi-agent approach with a finite state machine (FSM) to keep dialogues structured, preserve conversational context, and ensure data completeness. The system performs automatic information extraction from user inputs using a large language model, and conducts evidence pre-validation via optical character recognition and multimodal classification prior to human verification. The research methods include organizational needs analysis, design of the data model and interaction flow, formulation of FSM rules to govern dialogue stages, and integration of conversational intelligence, information extraction, and evidence validation components. Evaluation follows User Acceptance Testing (UAT) grounded in realistic business workflows at PT. XYZ, focusing on three aspects: (1) time efficiency compared to the manual reporting process, (2) data consistency and completeness by comparing chatbot variants with and without FSM control, and (3) reduction of initial manual workload for administrators during verification. Experimental results show the system accelerates reporting by ≥90% relative to the manual method, yields higher completeness with the FSM-controlled chatbot (approximately 96% complete versus ~70% without FSM), and achieves an ≈70% reduction in early administrative intervention. Evidence validation using text recognition and multimodal classification attains ~90–95% accuracy for common cases, effectively serving as a pre-screen before human review. These findings indicate that a multi-agent approach with FSM control can improve the speed, traceability, and reliability of attendance incident reporting. 
PENETRATION TESTING WEBSITE UNIVERSITAS KRISTEN PETRA TERHADAP SERANGAN GSOCKET
Jurnal Infra Vol. 14 No. 1 (2026): Jurnal Infra
Publisher : Universitas Kristen Petra

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Abstract

Website Universitas Kristen Petra (UKP) merupakan platform penting yang menunjang berbagai aktivitas akademik dan administrasi. Namun, website ini telah menjadi target serangan injeksi GSocket, yang memungkinkan penyerang mendapatkan akses remote shell dan memodifikasi situs web untuk kepentingan ilegal, seperti promosi perjudian online (JUDOL). Serangan ini dapat mengancam keamanan data, merusak reputasi universitas, dan memberikan akses tidak sah ke sistem internal.  Penelitian ini bertujuan untuk mengidentifikasi teknik injeksi GSocket dan celah keamanan yang dimanfaatkan oleh penyerang dalam mengakses dan memodifikasi fungsi aplikasi web UKP. Selain itu, penelitian ini menganalisis dampak serangan tersebut serta memberikan rekomendasi kepada tim Pusat Pengembangan Sistem Informasi (PPSI) UKP dalam menangani, mengidentifikasi, dan memitigasi ancaman GSocket. Metode yang digunakan dalam penelitian ini adalah White Box dan Black Box Penetration Testing, yang menggabungkan elemen pengujian dari perspektif pengguna dengan akses terbatas terhadap sistem.  Hasil penelitian ini berupa laporan kerentanan yang ditemukan serta saran mitigasi yang dapat diterapkan untuk meningkatkan keamanan website UKP. Diharapkan penelitian ini dapat membantu meningkatkan kesadaran akan ancaman injeksi GSocket serta memberikan langkah-langkah pencegahan yang efektif guna melindungi integritas website dan data pengguna UKP. 
Sistem Rekomendasi Investasi Saham Perusahaan di Bawah Naungan Danantara Menggunakan Long Short-Term Memory
Jurnal Infra Vol. 14 No. 1 (2026): Jurnal Infra
Publisher : Universitas Kristen Petra

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Abstract

Investasi memiliki peran penting dalam menjaga nilai kekayaan  dan mengatasi dampak inflasi. Namun, banyak individu masih enggan berinvestasi karena ketakutan terhadap risiko, pengaruh emosi, dan bias kognitif. Kondisi ini semakin terlihat pada kasus peluncuran Danantara, di mana persepsi negatif masyarakat menurunkan minat investasi pada perusahaan-perusahaan di bawah naungannya. Oleh karena itu, diperlukan sebuah sistem rekomendasi investasi berbasis data yang mampu memberikan saran yang objektif untuk saham perusahaan-perusahaan tersebut. Penelitian ini mengembangkan sistem rekomendasi investasi saham berbasis prediksi harga menggunakan model Long Short-Term Memory (LSTM), dengan ARIMA dan Recurrent Neural Network (RNN) sebagai model pembanding. Model-model tersebut diterapkan pada data harga saham ANTM, BBNI, BBRI, BMRI, dan TLKM. Hasil prediksi dari masing-masing model diolah untuk menghasilkan rekomendasi buy, hold, atau sell sehingga dapat membantu pengguna dalam mengambil keputusan investasi.Hasil penelitian menunjukkan bahwa model LSTM memiliki akurasi prediksi yang baik dengan nilai MAPE antara 1.7%–2% pada lima saham yang diuji. Dari simulasi transaksi, LSTM menghasilkan rata-rata keuntungan tertinggi dibandingkan RNN dan ARIMA. Selain itu, LSTM juga memberikan akurasi rekomendasi terbaik terhadap pendapat ahli pada seluruh saham uji. Dengan demikian, LSTM menjadi model yang terbaik untuk sistem rekomendasi investasi yang dikembangkan. 

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