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All Journal International Journal of Electrical and Computer Engineering TEKNIK INFORMATIKA Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Rekayasa Mesin Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JOIN (Jurnal Online Informatika) JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL ILMIAH INFORMATIKA Abdimas Dewantara ILKOM Jurnal Ilmiah Jurnal Surya Masyarakat IJID (International Journal on Informatics for Development) IJISTECH (International Journal Of Information System & Technology) JUMANJI (Jurnal Masyarakat Informatika Unjani) Edsence: Jurnal Pendidikan Multimedia JURNAL CRANKSHAFT JUTIS : Jurnal Teknik Informatika JISKa (Jurnal Informatika Sunan Kalijaga) Infotekmesin Jurnal Bakti Saintek: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Cyber Security dan Forensik Digital (CSFD) Jurnal Surya Masyarakat IJISTECH Nusantara: Jurnal Pendidikan Indonesia Jurnal Media Informatika Prosiding Seminar Hasil Penelitian dan Pengabdian Kepada Masyarakat Teknomatika: Jurnal Informatika dan Komputer
Bambang Sugiantoro
Universitas Islam Negeri Sunan Kalijaga
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Penerapan Composite Logic dalam Mengkolaborasikan Framework Terkait Multimedia Forensik Nora Lizarti; Bambang Sugiantoro; Yudi Prayudi
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 2 No. 1 (2017): Mei 2017
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (308.175 KB) | DOI: 10.14421/jiska.2017.21-04

Abstract

Like the digital forensics in general, multimedia forensics requires an integrated and flexible framework that can guide the process of proof is procedurally in order to maintain the validity of a digital evidence so that it can be justified in court. But this time, the digital forensics investigation framework that develops more emphasis on computer forensic investigations in general and did not give a specific stage of multimedia forensics. Often in investigating multimedia forensics investigator uses a framework that vary depending on the type of multimedia content to be analyzed, of course it becomes inflexible and inefficient, whereas multimedia content share characteristics that allow it to be integrated into a single unit. This study develops a forensic multimedia framework by implementing the Composite Logic to collaborate on several multimedia framework and related documents. Logic Composite method is a method of modeling the distribution of structured logical modularization techniques with explicit interface in which a model consists of a set of components that are interconnected with the principle of decomposition. In other words, the application of this method will allow researchers to extract and merge several frameworks into a single unit does not eliminate the function and the basic structure of the frameworks.
Rekomendasi Access Point Network pada Fakultas di Lingkungan UIN Sunan Kalijaga Yogyakarta Bambang Sugiantoro; Mahbub Puba Fawzan
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 2 No. 2 (2017): September 2017
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1020.93 KB) | DOI: 10.14421/jiska.2017.22-03

Abstract

The wireless network indoors is strongly influenced by the presence of interference. To overcome such interference and to improve the performance of wireless networks, then the optimization is done. There are several kinds of propagation that can interfere with the performance of the wireless network, which includes the number of transmitters (access point), free space loss, Received Signal Stength (RSSI), coverage that can be served, measuring attenuation at the barrier (concrete wall, soft partition, door, and floor).This research is an analysis research where the purpose of this research is to determine the position of good access point at Faculty of Shari'ah and Law Building using bayesian probability method. The first stage of this research is to determine the distance of signal reception to know the strength of the weak signal with manual random sampling so that the data obtained vary. The second stage is to determine the position of the access point with a choice of several points in order to be able to compare the best position based on the floor plan of the Faculty of Shari'ah and Law. The last stage is to calculate probability with Bayesian probability method.Result of this research is the position of the best access point on the 3rd floor that is at position B with probability value 13 while on floor 4 the best access point position at position A with value 10, position D with value 13 and position E with value 13. The most influential propagation in the Faculty of Shari'ah and Law Building is a concrete wall with a large 60% reducing the mass of radiated signals.
Development of National Digital Evidence Metadata Bambang Sugiantoro
JOIN (Jurnal Online Informatika) Vol 4 No 1 (2019)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v4i1.292

Abstract

The industrial era 4.0 has caused tremendous disruption in many sectors of life. The rapid development of information and communication technology has made the global industrial world undergo a revolution. The act of cyber-crime in Indonesia that utilizes computer equipment, mobile phones are increasingly increasing. The information in a file whose contents are explained about files is called metadata. The evidence items for cyber cases are divided into two types, namely physical evidence, and digital evidence. Physical evidence and digital evidence have different characteristics, the concept will very likely cause problems when applied to digital evidence. The management of national digital evidence that is associated with continued metadata is mostly carried out by researchers. Considering the importance of national digital evidence management solutions in the cyber-crime investigation process the research focused on identifying and modeling correlations with the digital image metadata security approach. Correlation analysis reads metadata characteristics, namely document files, sounds and digital evidence correlation analysis using standard file maker parameters, size, file type and time combined with digital image metadata. nationally designed the highest level of security is needed. Security-enhancing solutions can be encrypted against digital image metadata (EXIF). Read EXIF Metadata in the original digital image based on the EXIF 2.3 Standard ID Tag, then encrypt and insert it into the last line. The description process will return EXIF decryption results in the header image. This can secure EXIF Metadata information without changing the image quality
METODE KLASIFIKASI DAN ANALISIS KARAKTERISTIK MALWARE MENGGUNAKAN KONSEP ONTOLOGI Abdul Haris Muhammad; Bambang Sugiantoro; Ahmad Luthfi
Jurnal Teknomatika Vol 9 No 2 (2017): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Analisis malware membutuhkan keterampilan khusus untuk melakukan pendeteksian dan memahami cara kerja dari malware tersebut. Program berbahaya atau malware menjadi sebuah ancaman atau masalah yang sulit bagi para peneliti, tidak ada platform komputasi atau lingkungan yang kebal terhadap ancaman tersebut. Kompleksitas yang meningkat membuat para peneliti harus bekerja keras dan membutuhkan waktu untuk memahami cara kerja malware. Terdapat dua teknik dasar yang sering digunakan untuk melakukan analisis malware yaitu statis dan dinamis analisis, dan penelitian malware yang dilakukan selama ini masih berfokus pada analisis perilaku yang keberhasilan metode tersebut tergantung pada model malware. Penggunaan teknik signature based sangat tergantung pada perilaku malware yang dianalisis, analisis menjadi sulit ketika ditemukan malware baru yang menggunakan suatu teknik baru untuk menyulitkan sistem analisis. Berdasarkan uraian fakta yang disampaikan, dianggap perlu dibangun sebuah ontologi dalam melakukan analisis terhadap malware sehingga dapat digunakan sebagai pengemabangan, pemetaan pengetahuan serta mengindetifikasi tren, dan pola dalam melakukan analisis malware. Pada penelitian ini metode yang diusulkan adalah pengembangan dari metode Malware Analysis Body of Knowledge, dimana metode ini bekerja pada domain tertentu untuk memetakan karakteristik dan mengklasifikasi jenis malware yang akan dibahas. Pada penelitian ini berfokus kepada ontologi sebagai knowledge base dan pembahasannya lebih kepada memetakan karakteristik dan pengklasifikasian jenis malware.
Data Search Process Optimization using Brute Force and Genetic Algorithm Hybrid Method Riwanto, Yudha; Nuruzzaman, Muhammad Taufiq; Uyun, Shofwatul; Sugiantoro, Bambang
IJID (International Journal on Informatics for Development) Vol. 11 No. 2 (2022): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3743

Abstract

High accuracy and speed in data search, which are aims at finding the best solution to a problem, are essential. This study examines the brute force method, genetic algorithm, and two proposed algorithms which are the development of the brute force algorithm and genetic algorithm, namely Multiple Crossover Genetic, and Genetics with increments values. Brute force is a method with a direct approach to solving a problem based on the formulation of the problem and the definition of the concepts involved. A genetic algorithm is a search algorithm that uses genetic evolution that occurs in living things as its basis. This research selected the case of determining the pin series by looking for a match between the target and the search result. To test the suitability of the method, 100-time tests were conducted for each algorithm. The results of this study indicated that brute force has the highest average generation rate of 737146.3469 and an average time of 1960.4296, and the latter algorithm gets the best score with an average generation rate of 36.78 and an average time of 0.0642.
Evaluation of the Maturity Level of Information Technology Security Systems Using KAMI Index Version 4.2 (Case Study: Islamic Boarding Schools in Yogyakarta Special Region Province) Arromdoni, Bad’ul Hilmi; Nuruzzaman, Muhammad Taufiq; 'Uyun, Shofwatul; Sugiantoro, Bambang
IJID (International Journal on Informatics for Development) Vol. 12 No. 1 (2023): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2023.3987

Abstract

The development of information technology worldwide has changed very rapidly. There has been a data theft on the information system belonging to one of the most prominent Islamic Boarding Schools in the Yogyakarta area. Thus, special attention is needed to evaluate information technology security using the Information Security Index version 4.2. The research methods include extracting information, literature study, data collection, data validation, data analysis, and recommendations. The evaluation results are at the basic framework fulfilment level with a value of 343; the electronic system category has a low status with a value of 15 and 5 improvements; the governance category,  the risk management category,  the framework category,  the asset management category, and the information security technology category, have a maturity level II status with 12, five, eight, four, and eight recommendations respectively, while the supplement category for third party security areas with a value of 60%, securing cloud infrastructure services 56% and protecting personal data 61% with 14 recommendations.
Evaluation of IT Governance at Islamic Boarding Schools in the Special Region of Yogyakarta based on the COBIT 5 Framework Mardlian, M. Sa’id Abdurrohman Kunta; Nuruzzaman, Muhammad Taufiq; 'Uyun, Shofwatul; Sugiantoro, Bambang
IJID (International Journal on Informatics for Development) Vol. 11 No. 2 (2022): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3988

Abstract

Nowdays,  almost all aspects of company operations are supported by information technology systems.  Many pesantren have utilized information technology in supporting operational activities such as: using computers, accessing the internet, having a website, and managing information technology systems. The purpose of this study is to implement the COBIT 5 framework in the DSS (Deliver, Service, Support) domain in evaluating information technology governance and calculate the capability level value and gap analysis at Islamic Boarding Schools. The results of the Capability Level Analysis in the COBIT 5 DSS Domain obtained from 42 Islamic Boarding Schools showed that DSS01, DSS02, and DSS03 on average were at level 2, DSS04, DSS05, DSS06 on average at level 1. The results of the Gap Analysis in the COBIT 5 DSS Domain show that in DSS01, DSS02, and DSS03 the average GAP is 3, in DSS04, DSS05, and DSS06 the average GAP is 4. The result shows that Information Technology Governance in Islamic Boarding Schools in the Special Region of Yogyakarta based on an assessment with the COBIT 5 Framework is still low status and needs to be improved, as evidenced by the low Capability Level Value and the high GAP Value.
Analysis of Factors Affecting the Students’ Acceptance Level of E-Commerce Applications in Yogyakarta Using Modified UTAUT 2 Candra, Dori Gusti Alex; Nuruzzaman, Muhammad Taufiq; 'Uyun, Shofwatul; Sugiantoro, Bambang; Pratiwi, Millati
IJID (International Journal on Informatics for Development) Vol. 12 No. 1 (2023): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2023.3990

Abstract

Yogyakarta is listed as the region with the highest number of residents engaging in e-commerce transactions. A total of 10.2% of the population are active e-commerce sellers, while 16.7% belong to the buyer category. Research by IDN Times showed that e-commerce application users have been dominated by students, with a percentage of 44.2%.  The purpose of this study is to analyze the factors that influence students’ level of acceptance of e-commerce applications in Yogyakarta using the modified UTAUT 2. This is quantitative research with multiple linear regression models using SPSS software version 25 with a sample size of 303 people. Data analysis in this study was conducted in a few steps, including descriptive analysis, validity test, reliability test, classical assumption test and hypothesis testing. The results of this study indicate that the student’s level of acceptance of e-commerce applications is within good criteria. The variables that have a positive effect on the behaviour intention (BI) are performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), habit (HB), price value (PV), perceived risk (PR), perceived security (PS), and trust (TR) are variables that negatively affect the variable behaviour intention (BI). All independent variables affect the dependent variable or behaviour intention (BI) with a total of 63.3% and the difference with a total of 36.7% is caused by other factors not examined by the researcher.
Comparison of K-Nearest Neighbor, Support Vector Machine, Random Forest, and C 4.5 Algorithms on Indoor Positioning System Astari, M Rizky; Nuruzzaman, Muhammad Taufiq; Sugiantoro, Bambang
IJID (International Journal on Informatics for Development) Vol. 12 No. 1 (2023): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2023.3991

Abstract

Today’s most common Positioning System applied is the Global Positioning System (GPS). Positioning System is considered accurate when outdoors, but it becomes a problem when indoors making it difficult to read the GPS signal. Many academics are actively working on indoor positioning solutions to address GPS's drawbacks. Because WiFi Access Point signals are frequently employed in multiple studies, they are used as research material. This study compares the classification algorithms KNN, SVM, Random Forest, and C 4.5 to see which algorithm provides more accurate calculations. The fingerprinting method was employed in the process of collecting signal strength data in each room of the Terpadu Laboratory Building at UIN Sunan Kalijaga using 30 rooms and a total dataset of 5,977 data. The data is utilized to run experiments to determine the location using various methods. According to the experimental data, the Random Forest algorithm achieves an accuracy rate of 83%, C4.5 81%, and KNN 80%, while the SVM method achieves the lowest accuracy rate of 57%.
Enhancing the resistance of password hashing using binary randomization through logical gates Anbari, Muhamad Zaki; Sugiantoro, Bambang
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i5.pp5400-5407

Abstract

Digitalization in various sectors makes information security issues very crucial. Information security follows the authentication, authorization, and accounting (AAA) principle, where one of the most important parts is authentication. The most widely used authentication method is username-password. The best method to secure a user-pass is to convert the plaintext using a hash so that the converted plaintext cannot be recovered. However, with higher technology, hackers can crack the ciphertext using brute force. This research proposes a username-password scrambling algorithm before it is fed into the hash function to improve resilience from attacks. This algorithm is named logical gates (LG). It works by converting the user pass into binary form, adding salt, and scrambling it with certain logical gates before inserting it into the hash function. Testing is divided into two: time of execution and attack resistance. Time of execution results show that LG takes 0.0443432033 s, while without LG takes 0.01403197646 s. The resistance of attack results show that the plaintext of the hash amplified by LG cannot be cracked at all and increases the attack time by 321.3% at prefix and 161.3% at postfix, while without LG, the plain text can be found for a certain duration of time.
Co-Authors Abdul Haris Muhammad Abdullah, Mohd. Fikri Azli bin Afrianto, Nurdi Agung Fatwanto Ahmad Luthfie Akbar, Bintang Faisal Akbar, Muhammad Tulus Akbar, Reonaldo Al Jum'ah, Muhammad Na'im Alfani, Muhammad Nur Alfarizi, Naufal Faiz Alifah Amalia Amalia, Alifah Amanulloh, Rivkih Amin Pujiati Amin Retnoningsih Anbari, Muhamad Zaki Arromdoni, Bad’ul Hilmi Astari, M Rizky Asyhab, Naufal bahary, muhammad syaiful Bahry, Muhammad Syaeful Budi Permana Putra Budiman, Kholiq Candra, Dori Gusti Alex Dewantara, Rizki Efdika, Muhamad Fadil Elvanisa Ayu Muhsina, Elvanisa Ayu Endra Yuliawan Fahmi Romisa Gatra, Rahmadhan Gatra, Ramadhan Gunawan Gunawan Habibah, Berlian Ummu Habibullah, Ricky Hafizuddin, Faiz Akhmad Hakim, Fani Rakhman Hanif Hanif Hartono Hartono Helmi Rachman Hikmatyar, Firmansyah Gustav Idir Fitriyanto Idir Ika Arfiani Imtikhan Azmi, Himawan Istianto, Yudi Izdiharsant, Almaas Jazi Eko Istiyanto Karmesti, Danissa Wirna Kesumahadi, Lisdianto Dwi Khanif Setiyawan Khusna, Tachiyya Nailal Mahardhika, Yuha Bani Mahbub Puba Fawzan Mahbub Puba Fawzan, Mahbub Puba Mahmuda, Muhimmatul Mardlian, M. Sa’id Abdurrohman Kunta Maria Ulfa Siregar Maria Ulfah Siregar Maria Ulfah Siregar Mastur Mastur Meiditra, Irzon Merisa Kurniasari Fadilla Muhamad Fadli Muhamad Soleh Muhamad Zaki Anbari Muhammad Hambali, Muhammad Muhammad Reza Velayani Muhammad Taufiq Nuruzzaman Mujahidah, Latifatul Mulyana, Riyan Nana Kariada Trimartuti Nana Supriyana Ngisomudin, Ngisomudin Nora Lizarti Nugrah Rekto Prabowo Nur Wibowo, Trio Nuruzzaman, Muhammad Taufiq Panggih Gumelaring Praja Pomalingo, Suwito Prasdika, Prasdika Pratiwi, Millati Putry Wahyu Setyaningsih Qorry Aina Fitroh Rachman, Helmi Retantyo Wardoyo Rini Audia Rinny Asasunnaja Riwanto, Yudha Romisa, Fahmi Rusnaldhy, Rusnaldhy Sakuri, Sakuri Sakuri, Sakuri Shofwatul 'Uyun Shofwatul ‘Uyun Son’Aniy, Irham Sophan Sofian Sri Hartati Subki, Ahmad Sucinta, Hanny Handayani Sumarsono , Sumarsono Sunyoto Sunyoto Supiyana, Nana Supriyono, Abdul Rohman Susilo Adi Widyanto Sutarno Sutarno Tasya Kumala Dewi, Bella Tri Widodo Utis Sutisna Warso Warso, Warso Wicaksono, Nur Kukuh widowati widowati Wildan Nadiyal Ahsan Winasis, Bima Putra Wishnu, Asep Yudi prayudi Yuha Bani Mahardhika