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All Journal Jurnal Informatika Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Simantec Journal of ICT Research and Applications ELINVO (Electronics, Informatics, and Vocational Education) Journal of Data Science and Its Applications Journal of Soft Computing Exploration Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Makara Journal of Technology Bulletin of Social Informatics Theory and Application
Arif Muntasa
Universitas Trunojoyo
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Mengungkap Dan Menguji Keaslian Bukti Digital Pada Kejahatan Cybercrime Dengan Metode Digital Forensic Research Workshop Imam Wahyudi; Arif Muntasa; Muhammad Yusuf; Ardi Hamzah
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 2 No 2 (2021): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Oktober 2021
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v2i2.1068

Abstract

Bukti pada dasarnya memiliki dua jenis yaitu digital dan fisik. Dimana bukti digital memiliki karakteriskti kerentanan, mudah dihapus, dihilangkan, serta diubah oleh karena itu perlu sebuah cara khusus dalam penanganan bukti digital berkaitan dengan maraknya cyber crime. Salah satu kasus mengenai cyber crime adalah berita hoax yang disajikan dengan gambar ataupun informasi yang sudah direkayasa sehingga diperlukan pencegahan dan investigasi lebih lanjut.Artikel ini bertujuan untuk mengungkap bukti yang dihapus pada direktori flashdisk dan menguji keaslian bukti tersebut dengan menggunakan metode Digital Forensic Research Workshop (DFRWS). Alat analisis yang digunakan menggunakan Forensic Tool Kit (FTK) Imager yang memiliki fungsi untuk merecovery file yang telah dihapus dan JPEGSNOOP memiliki fungsi untuk mendeteksi dan menguji apakah gambar atau foto tersebut original atau telah dilakukan rekayasa. Hasil dari penelitian ini menunjukkan bahwa pengujian dan validasi mengenai bukti digital berupa gambar mendapatkan hasil yang baik yaitu bukti dapat ditemukan dan dikembalikan dengan bentuk yang sama serta telah didapatkan informasi mengenai originalitasnya.
Studi Litelatur: Peningkatan Kinerja Digital Forensik Dan Pencegahan Cyber Crime Risky Mezi Muria; Arif Muntasa; Muhammad Yusuf; Ardi Hamzah
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 3 No 1 (2022): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) April 2022
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v3i1.1422

Abstract

The more complex a problem that arises due to an ease in information technology makes cyberattacks increasingly dangerous and dangerous for systems within a country or entity. Crimes thatarise must be detected and a preventive action taken immediately so that no party is harmed for atechnological crime. This study aims to find various methods to review and investigate cyberattacks for security in digital forensics and can provide input and additional insight to all partiesincluding investigators or practitioners and users in the field of digital forensics about variousmethods that can be used to detect and prevent cyber attacks. This research was conducted byconducting a literature study of various studies on cyber attacks. The research method used isdescriptive qualitative method by taking data from literacy studies on research on cyber attacks.The results of the literature study show that the factors that can improve the performance of digitalforensics are the Digital Forensics Framework For Reviewing And Investigating Cyber Attacks(D4I), holistic digital organization, biometric authentication with image forensics schemes, largescale interconnection systems, LSS control architecture, system network control (AE-Safe), DigitalForensic Readiness Index (DiFRI), LEChain, Verification Of Digital Evidence (VODE)Framework, Capsule of Digital Evidence (CODE), The Phase-oriented Advice and ReviewStructure (PARS), IEEE-system 14 and IEEE-39 stability control, Cyber-Physical System (CPS),STPA-SafeSec, Digital Evidence Reporting and Decision Support (DERDS), ExperDF-CM modeland Argumentation-Based Reasoner (ABR)
STUDENT PERCEPTIONS OF LMS AT THE FACULTY OF ENGINEERING TRUNOJOYO UNIVERSITY MADURA Kurniawa Eka Permana; Mochammad Kautsar Sophan; Arif Muntasa
Jurnal Simantec Vol 10, No 2 (2022)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v10i2.14652

Abstract

This study aims to determine student perceptions of the Learning Management System (LMS) during the Corona pandemic. Currently, many educational institutions are conducting online learning and using LMS in their activities. The LMS system is used as a medium for managing the learning process. By utilizing the LMS, schools can register, identify lesson plans, monitor learning, and evaluate learning. During the pandemic learning period, LMS plays a very important role in determining the success of learning targets. It is therefore important to get students' perceptions of the LMS used. The LMS system used in this study is a free web-based LMS system and can be used by the public. The assessment methodology used to fulfill the research objectives uses a Likert-type scale. This study provides insight into the LMS preferred by students. The results of this study can be used as a reference in the selection of the LMS tool used. The method we use is a simple questionnaire using a google form. This research is included in quantitative research. From the results of the research, it is evident that there are two things that are of great concern to students, namely the LMS is easy to use and is able to facilitate the availability of teaching materials. Respectively with a total agree of 86.8% and 93.3%.
The Gaussian Orthogonal Laplacianfaces Modelling in Feature Space for Facial Image Recognition Muntasa, Arif
Makara Journal of Technology Vol. 18, No. 2
Publisher : UI Scholars Hub

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

Abstract

Dimensionality reduction based on appearance has been interesting issue on the face image research fields. Eigenface and Fisherface are linear techniques based on full spectral features, for both Eigenface and Fisherface produce global manifold structure. Inability of them in yielding local manifold structure have been solved by Laplacianfaces and further improved by Orthogonal Laplacianfaces, so it can yield orthogonal feature vectors. However, they have also a weakness, when training set samples have non-linear distribution. To overcome this weakness, feature extraction through data mapping from input to feature space using Gaussian kernel function is proposed. To avoid singularity, the Eigenface decomposition is conducted, followed by feature extraction using Orthogonal Laplacianfaces on the feature space, this proposed method is called Kernel Gaussian Orthogonal Laplacianfaces method. Experimental results on the Olivetty Research Laboratory (ORL) and the YALE face image databases show that, the more image feature and training set used, the higher recognition rate achieved. The comparison results show that Kernel Gaussian Orthogonal Laplacianfaces outperformed the other method such as the Eigenface, the Laplacianfaces and the Orthogonal Laplacianfaces.
A novel framework of e-participation for smart cities Yusuf, Muhammad; Alamsyah, Nurwahyu; Syarif, Muh.; Muntasa, Arif; Muzakki, Hakam
Bulletin of Social Informatics Theory and Application Vol. 3 No. 2 (2019)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v3i2.213

Abstract

The smart city is an exciting concept for improving the quality of the city. However, a smart city needs participation from citizens and all related stakeholders to use the technologies effectively in order to achieve the goal and solve the problems. Even though the city already has high-tech infrastructures, participation still required to provide ideas, inputs, and roles within the development of smart city concepts. This research aims to describe and analyze the current state of the e-Participation frameworks and propose a novel framework for smart cities. The analysis will go through a systematic literature review. Hopefully, this study makes contributions by providing a novel framework of e-Participation for smart cities. This research has implications for theory and practice. For theory, the novel framework can be added to the body of knowledge of e-participation, e-government, and smart cities fields. For practice, the framework will be useful for practitioners, policymakers, people and other stakeholders related to the smart city governance to increase citizen participation through technology-based services.
E-government learning media through augmented reality technology Yusuf, Muhammad; Sophan, Mochammad Kautsar; Muntasa, Arif; Alamsyah, Nurwahyu; Nakkas, Haythem; Sari, Putri Pradnyawidya
Bulletin of Social Informatics Theory and Application Vol. 4 No. 1 (2020)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v4i1.258

Abstract

Augmented reality (AR) is one of the newest learning technologies besides Artificial Intelligent, Virtual Reality, Virtual World, Alternates Reality Games, and Wearable Computing. E-Government is becoming an evolving academic field and transforming to be E-Governance, E-Participation, E-Service, E-Democracy, E-Voting issues. Therefore, some universities have E-Government course in their curriculum. AR can be one of the learning media to learn and teach E-Government effectively and interestingly. This research aims and contributes to develop a novel model of E-Government learning media using AR. Furthermore, this work has three novelties as follows:First, a method to develop e-Government learning media using AR. Second, a novel model of e-government learning media based on augmented reality technology. Third, the material courses are command centre and public service mall materials based in Surabaya, Indonesia. The new model of learning media using AR consists of main components, i.e., user, devices, AR, and course materials. Additionally, this novel model has some sub-components, such as AR object, marker, text, image, audio, video, and 3D animation. The proposed model has some practical and theoretical implications. For the theoretical implication , it adds a model of learning media for e-government course and extends the body of knowledge for e-government and augmented reality fields. For practice, e-Government courses can uilize the augmented reality application.
A sentiment analysis of madura island tourism news using C4.5 algorithm Savitri, Vina Angelina; Sa’id, Moh.; Husni, Husni; Muntasa, Arif
Journal of Soft Computing Exploration Vol. 5 No. 1 (2024): March 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i1.258

Abstract

Over the past few years, the tourism sector has experienced significant growth in its contribution. The tourism potential on Madura Island is widespread across four regencies, namely Bangkalan, Sampang, Pamekasan, and Sumenep. This potential can be harnessed to support the local government's economy and the communities in the surrounding areas. This research aims to analyze the sentiment of Madura tourism news from online sources using the Decision Tree (C4.5) method. The data used in this study consist of 100 Madura tourism news articles collected from online news portals, which will be classified using the Decision Tree (C4.5) method. The test results show that this method has an average accuracy rate of 76.5% in 10 tests. The average accuracy results demonstrate that the use of the Decision Tree (C4.5) method in this research yields a sufficiently high accuracy level in the sentiment analysis of tourism news.
PERBANDINGAN KINERJA QUERY SQL JOIN TABLES DENGAN MENGGUNAKAN INDEX Permana, Kuniawan Eka; Sophan, Mochammad Kautsar; Muntasa, Arif; Rahmat, Abdullah Basuki
Jurnal Simantec Vol 11, No 2 (2023): Jurnal Simantec Juni 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v11i2.20288

Abstract

Desain database tanpa index berdampak pada query SQL tidak optimal sehingga waktu eksekusi aplikasi yang tinggi. Optimalisasi Query SQL memainkan peran penting dalam meningkatkan kinerja sistem basis data. Salah satu teknik utama untuk pengoptimalan query sql adalah penggunaan indeks. Indeks adalah struktur data yang memungkinkan pengambilan data yang efisien dengan menyediakan akses cepat ke subset data tertentu. Penelitian ini bertujuan untuk membandingkan dampak penggunaan indeks dengan tidak menggunakan indeks pada optimasi query sql khususnya pada tabel gabungan. Metode perbandingan menggunakan pengujian kecepatan kueri. Ada tiga skenario pengujian yang dilakukan. Skenario pertama adalah pengujian dengan satu gabungan pada dua tabel. Skenario kedua menguji tiga join pada empat tabel dan skenario ketiga menguji tiga join pada empat tabel dengan kondisi. Setiap skenario dilakukan pada tabel yang diindeks dan tabel yang tidak diindeks. Hasil pengujian menunjukkan bahwa query dengan indeks mengalami peningkatan kecepatan dibandingkan dengan query tanpa indeks. Pada tiga skenario percobaan diperoleh peningkatan kecepatan waktu query masing-masing sebesar 39,474%, 5,5% dan 43,68%. Menggunakan indeks dapat sangat meningkatkan kinerja query sql dengan mengurangi jumlah data yang diakses dan memungkinkan pengoptimalan query sql yang lebih efisien. Tanpa indeks, query sql mungkin memerlukan pemindaian tabel lengkap, yang menyebabkan waktu eksekusi lebih lambat, terutama untuk tabel yang lebih besar.Kata kunci: Index, Join Tables, Query Performance, SQL Query.
Cross-Language Tourism News Retrieval System Using Google Translate API on SEBI Search Engine Husni, H.; Muntasa, Arif; Putro, Sigit Susanto; Osman, Zulfi
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 1 (2023): Mei 2023
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v8i1.55851

Abstract

Cross-Language Information Retrieval (CLIR) is responsible for retrieving information stored in a language different from the language of the query provided by the user. Some translation methods commonly used in CLIR are Dictionary, Parallel corpora, Comparable corpora, Machine translator, Ontology, and Transitive-based. The query must be translated to the target language, followed by preprocessing and calculating the similarity between the query and all documents in the corpus. The problem is the time and accuracy of query translation. Moreover, the queries are not written as complete sentences according to certain language rules. Stemming, for example, every language has its own method. Indonesian has basic words and affixes in the form of prefixes, suffixes, infixes, and confixes, while English only has suffixes. Stemming takes a long time in text processing. In the Indonesian search engine (SEBI), the provision of cross-language tourism news retrieval is realized using the Google Translate API, which translates the Query and all documents into English, Porter's stemming technique to convert each term to its general form, and cosine similarity to calculate similarity. This approach can deliver cross-language tourism news instantly while increasing the precision and efficiency of the SEBI search engine, although some improvements are needed to provide a more precise and efficient similarity computation.
Co-Authors Abd. Rasyid Syamsuri Alamsyah, Nurwahyu Ardi Hamzah Hakam Muzakki Husni Husni Husni, H. Imam Wahyudi Indah Agustien Sirajudin Indah Agustien Sirajudin Kondo Kunio Kurniawa Eka Permana Kurniawan Kurniawan Mauridhi Hery Purnomo Mauridhi Hery Purnomo Mochamad Kautshar Sophan Mochammad Kautsar Shopan Mochammad Kautsar Sophan Muhammad Yusuf Nakkas, Haythem Osman, Zulfi Permana, Kuniawan Eka Putro, Sigit Susanto Rahmat, Abdullah Basuki Rima Tri Wahyuningrum Risky Mezi Muria Sari, Putri Pradnyawidya Savitri, Vina Angelina Sa’id, Moh. Siradjuddin, Indah Agustien Syafi?i, Slamet Imam Syarif, Muh. Wrida Adi Wardana