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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Teknik ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Proceedings of KNASTIK TELKOMNIKA (Telecommunication Computing Electronics and Control) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Seminar Nasional Informatika (SEMNASIF) Jurnal Eksplora Informatika Infotekmesin Bubungan Tinggi: Jurnal Pengabdian Masyarakat CITIZEN: Jurnal Ilmiah Mulitidisiplin Indonesia Sewagati
Ary Mazharuddin Shiddiqi
Informatics Department, Institut Teknologi Sepuluh Nopember, Surabaya
Religion Arts Humanities Computer Science & IT Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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GCRFP - PAGE REPLACEMENT FOR SOLID STATE DRIVE USING GHOST-CACHE Suadi, Wahyu; Djanali, Supeno; Wibisono, Waskitho; Anggoro, Radityo; Shiddiqi, Ary Mazharuddin
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 18, No. 2, July 2020
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v18i2.a986

Abstract

State Drive (SSD) is an alternative to data storage that is popular today, widely used as a media cache to speed up data access to the hard disk (HDD). This paper proposes page replacement technique on SSD cache that used frequency and recency parameter, alternately. The algorithm is selected adaptively based on trace input. This method helps to overcome changes in access patterns while minimizing the number of write processes to SSD. The proposed algorithm can choose a replacement technique that suits the user access pattern so that it can bring a better hit rate. The proposed algorithm is also integrated with the ghost-cache mechanism so that the reduction in the number of writing processes to SSD is significant. The experiment runs using a real dataset, describing trace of data read, and data write taken from real usage. The trial shows that the proposed algorithm can give good results compared to other similar algorithms.
AN ENHANCED SQL INJECTION DETECTION USING ENSEMBLE METHOD Purbawa, Doni Putra; Ulhaq, Azzam Jihad; Ikhsan, Gusna; Shiddiqi, Ary Mazharuddin
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 21, No. 1, January 2023
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v21i1.a1060

Abstract

SQL injection is a cybercrime that attacks websites. This issue is still a challenging issue in the realm of security that must be resolved. These attacks are very costly financially, which count millions of dollars each year. Due to large data leaks, the losses also impact the world economy, which averages nearly $50 per year, and most of them are caused by SQL injection. In a study of 300,000 attacks worldwide in any given month, 24.6% were SQL injection. Therefore, implementing a strategy to protect against web application attacks is essential and not easy because we have to protect user privacy and enterprise data. This study proposes an enhanced SQL injection detection using the voting classifier method based on several machine learning algorithms. The proposed classifier could achieve the highest accuracy from this research in 97.07%.
DEVELOPMENT OF A MODEL TO EVALUATE USERS' TECHNOLOGY READINESS AND ACCEPTANCE IN USING THE SELF-CHECK-IN KIOSK SERVICE AT SOEKARNO-HATTA INTERNATIONAL AIRPORT Fanani, Muhammad Faisal; Yuhana, Umi Laili; Shiddiqi, Ary Mazharuddin
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 22, No. 2, July 2024
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v22i2.a1238

Abstract

The self-check-in kiosk is one of the digital technologies used by the aviation industry to help passengers check in on passenger flights independently and efficiently without the need for a conventional check-in counter at the airport. However, the phenomenon on the ground indicates that many users have not yet used the service. As a result, the check-in area in some of the flight masks often has a long wait. Studies conducted by several airports in campsites such as Malaysia, South Africa, and Switzerland show that self-check-in kiosks do not meet the echoes of users. The same thing happened at Indonesian airports, where the use of self-check-in kiosks was still below 20% of total passenger traffic in 2022–2023. The study introduces the User Experience Technology Readiness and Acceptance Model (UX TRAM), which is used to evaluate user readiness and acceptance of the application of new technologies in the airport environment. The Partial Least Squares Structural Equation Modeling (PLS-SEM) method is used to analyze the research model and the proposed hypothesis. Based on the results of the test of significance and relevance of the relationship in this study, the structural model proposed by the majority is of significant value, except for the variables Innovativeness and Insecurity versus Perceived Ease of Use. Based on the results of the test of the hypothesis carried out, out of 15 hypotheses tested, there are 13 accepted and 2 rejected hypotheses related to the readiness and acceptance of users in the use of new technology on the Self-Check-in Kiosk service at Soekarno-Hatta International Airport. The results of this study show that the proposed research model has varying explanatory strengths (near moderate to substantial/high) as well as predictive strengths that offer better predictable performance. 
TRANSFORMASI DIGITAL DALAM INDUSTRI DISTRIBUSI BAHAN BANGUNAN: Studi Kasus: Uji Kepuasan Platform B2B pada PT. Bumi Pembangunan Pertiwi di Kab. Madiun, Jawa Timur Pradana, Mares; Shiddiqi, Ary Mazharuddin; Triyono, Budi
Citizen : Jurnal Ilmiah Multidisiplin Indonesia Vol. 5 No. 1 (2025): CITIZEN: Jurnal Ilmiah Multidisiplin Indonesia
Publisher : DAS Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53866/jimi.v5i1.705

Abstract

Digital transformation has become an urgent necessity for companies to remain competitive in the rapidly advancing digital era. Through digitalization, businesses can enhance efficiency, competitiveness, and sustainability by automating processes, reducing errors, and providing accurate real-time data for better decision-making. However, the adoption of digital technology varies across different sectors, with the building materials distribution sector lagging behind. PT. Bumi Pembangunan Pertiwi, part of Success Jaya Distribution, which operates in building materials distribution sector in East Java, still relies on manual processes in its operations. Observations and interviews reveal that key activities such as the creation of historical data reports, inventory management, billing, and approvals are still handled manually. This situation negatively impacts the efficiency and accuracy of the company’s operations. Key issues identified include a lack of well-documented historical data, inconsistencies in inventory management, slow and error-prone billing processes, and time-consuming approval procedures. Additionally, excessive paper usage contributes to inefficiencies and environmental harm. Digitizing business processes through the development of a Business to Business (B2B) platform offers a solution to enhance operational efficiency, transparency, and business sustainability. The implementation of this platform is expected to address the challenges faced by PT. Bumi Pembangunan Pertiwi and improve the performance of other building materials distributors in the digital era.The evaluation results showed a very good level of user satisfaction with a total CSI of 84.42%, where the components of User Experience, Satisfaction with Process and Output, and General Satisfaction were respectively 25.64%, 34.52%, and 24.25%.
EMERGENCY PROCESSES HANDLING IN URBAN AREA USING MODIFIED DIJKSTRA METHOD Wiratama, Prima; Shiddiqi, Ary Mazharuddin
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 19, No. 2, Juli 2021
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v19i2.a1047

Abstract

Emergency Aid has a very vital role in saving the patient's life. The emergency process involves two stages, namely the pre-hospital and the hospital stage. Striving for the entire emergency process is to have the fastest response time. The initial part of emergency treatment (pre-hospital) is determining the shortest and fastest route to the hospital. In addition, the availability of the targeted hospital must also be considered. We modified Dijkstra's Algorithm to produce the shortest route and the fastest time by considering the availability of the targeted hospital to support the handling of the emergency process. The modification made to the Dijkstra algorithm replaces the weight of Dijkstra's distance with a quantity representing the congestion rate and distance. Besides, the event time is estimated to determine the status of the intended hospital. As a result, Dijkstra's modification method can produce a more efficient and faster route.
MALICIOUS TRAFFIC DETECTION IN DNS INFRASTRUCTURE USING DECISION TREE ALGORITHM Thooriqoh, Hazna At; Azzmi, M. Naufal; Tofan, Yoga Ari; Shiddiqi, Ary Mazharuddin
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 20, No. 1, January 2022
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v19i3.a1054

Abstract

Domain Name System (DNS) is an essential component in internet infrastructure to direct domains to IP addresses or conversely. Despite its important role in delivering internet services, attackers often use DNS as a bridge to breach a system. A DNS traffic analysis system is needed for early detection of attacks. However, the available security tools still have many shortcomings, for example broken authentication, sensitive data exposure, injection, etc. This research uses DNS analysis to develop anomaly-based techniques to detect malicious traffic on the DNS infrastructure. To do this, We look for network features that characterize DNS traffic. Features obtained will then be processed using the Decision Tree algorithm to classifyincoming DNS traffic. We experimented with 2.291.024 data traffic data matches the characteristics of BotNet and normal traffic. By dividing the data into 80% training and 20% testing data, our experimental results showed high detection aacuracy (96.36%) indicating the robustness of our method.
A Dual-Network iTransformer Model for Robust and Efficient Time Series Forecasting Shiddiqi, Ary Mazharuddin; Ardi, Bagaskoro Kuncoro; Amaliah, Bilqis; Mogi, I Komang Ari; Rizki, Agung Mustika; Nuralamsyah, Bintang; Adillion, Ilham Gurat; Alzamzami, Moch. Nafkhan
JUTI: Jurnal Ilmiah Teknologi Informasi Vol.23, No.2, July 2025
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v23i2.a1264

Abstract

Time-series forecasting plays a crucial role in various fields, including economics, healthcare, and meteorology, where accurate predictions are essential for informed decision-making. As data volume and complexity continue to grow, the need for efficient and reliable forecasting methods has become more critical. iTransformer, a recent innovation, improves interpretability while effectively handling multivariate data. In this study, the author proposes Dual-Net iTransformer, a novel approach that integrates iTransformer with a dual-network framework to enhance both accuracy and efficiency in time-series forecasting. This research aims to evaluate and compare the performance of traditional methods, iTransformer, and Dual-Net iTransformer, highlighting the advantages of the proposed model in improving forecasting outcomes.
Co-Authors A. Zainal Abidin Adillion, Ilham Gurat Agung Mustika Rizki, Agung Mustika Al Kanza, Kalyana Putri Alzamzami, Moch. Nafkhan Ano Rangga Rahardika Ardi, Bagaskoro Kuncoro Aris Tjahyanto Arsyad, Hammuda Arvina Anggie Kharizma Azzmi, M. Naufal Bagus Jati Santos Baskoro Adi Pratomo Bayu Arnel Premdan Afristo Bilqis Amaliah Budi Triyono Damayanti, Putri Dedy Yanto Dian Saptarini Diani, Nabila A'idah Dion Devara Aryasatya Emerson Eridiansyah Z Fadhila, Farah Dhia Faiz Ainun Karima Fanani, Muhammad Faisal Faosan Mapa Fikriansyah, Irsyad Henning Titi Ciptaningtyas Henry Pratama Hudan Studiawan I Komang Ari Mogi, I Komang Ari I. D. A. A Warmadewanthi Ikhsan, Gusna Joses, Steven Junaidi Junaidi Mardianto, Ricky Nadia Sephia Audina Nanik Suciati Nuniek Fahriani Nuniek Fahriani, Nuniek Nuralamsyah, Bintang Pradana, Mares Pramudya, Rafli Raihan Pratama, Rivanda Putra Prinandika, Arya Gading Purbawa, Doni Putra Putu Ayu Sinthia A. Quinevera, Stefanie Radityo Anggoro, Radityo Rakhmadany Primananda Royyana M. Ijtihadie Royyana Muslim Ijtihadie Santoso, Bagus Jati Santoso, Bagus Jati Supeno Djanali Teja, Andika Rahman Thooriqoh, Hazna At Tofan, Yoga Ari Tohari Ahmad Ulhaq, Azzam Jihad Victor Hariadi Vinorian, Muhammad Ersya Wahyu Suadi Waskhito Wibisono Waskitho Wibisono Wibowo, Prasetyo Wiratama, Prima Yudhi Purwananto Yuhana, Umi Laili Yulvida, Donata Yuniasri, Dini Zaini, Alfa Fakhrur Rizal