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All Journal Jurnal Lahan Suboptimal Jurnal Akademika Biologi E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Pixel : Jurnal Ilmiah Komputer Grafis Elkom: Jurnal Elektronika dan Komputer Jurnal Rekayasa Sipil dan Desain Jurnal Akta PHARMACY: Jurnal Farmasi Indonesia (Pharmaceutical Journal of Indonesia) Jurnal Teknologi Informasi dan Komunikasi Journal of Engineering, Electrical and Informatics (JEEI) Formosa Journal of Social Sciences (FJSS) Jurnal Publikasi Ilmu Komputer dan Multimedia Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Journal of Technology Informatics and Engineering JGuruku: Jurnal Penelitian Guru International Journal of Graphic Design Journal of Engineering, Electrical and Informatics
Budi Raharjo
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Agriculture, Biological Sciences & Forestry Arts Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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PERFORMANCE EVALUATION OF PENETRATION TESTING TOOLS IN DIVERSE COMPUTER SYSTEM SECURITY SCENARIOS Joseph Teguh Santoso; Budi Raharjo
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 13 No. 2 (2022): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v13i2.851

Abstract

This study aims to scrutinize various tools and techniques employed in vulnerability assessment, to furnish a comprehensive guide regarding the efficacy of computer system penetration testing tools, and to offer a post-exploitation analysis approach to aid security professionals in selecting security tools. The increasing interconnectivity and complexity of computer systems in this ever-evolving digital age have led to the growing sophistication of cyber threats such as hacking, malware, and data theft. To counter these threats, penetration testing has become the primary method for securing computer systems. However, in diverse environments, efficient and adaptive penetration testing tools are needed. The selection of the right tools, with a focus on their efficiency in detecting vulnerabilities and providing mitigation solutions, is a paramount and highly crucial consideration. Additionally, post-exploitation analysis to develop more effective protection strategies after a successful attack is also becoming increasingly important. This research contributes to the fields of Communication Networks and System Security, offering insights into the challenges of selecting the right tools for penetration testers and underscoring the importance of vulnerability assessment in securing computer systems. The research approach employed comprises static analysis and manual analysis, encompassing techniques such as fingerprinting, vulnerability scanning, fuzzing, Nmap scanning, and the utilization of a database search tool called search-sploit. The results of this study indicate that the tools and techniques employed in this research can assist in identifying and mitigating vulnerabilities in computer systems. However, due to certain limitations, the research findings may not apply to diverse scenarios.
THREAT ATTRIBUTES HANGING IN THE WILD ANDROID Irda Yunianto; Mars Caroline Wibowo; Budi Raharjo
Journal of Technology Informatics and Engineering Vol. 1 No. 3 (2022): December: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i3.150

Abstract

Android is a complicated system that applications and component are usable and support for multiple work together, giving rise to highly complex interdependence relationships. Meanwhile, the Android environment is notable for being greatlty disparate and decentralized: different Operation System version is personalized and re-personalized by different parties about fast and used by whoever that can develop an application for that version. Android secure its explanation sources over an app sandbox and permissions model, where each application execution in this part can entrance only suspectible overall assets and another application component (value providers, services, activities, publication receivers) by the appropriate liscense. This study uses Harehunter measurement to automatically detect Hare vulnerabilities in Android system applications. Harehunter and HareGuard performance evaluations were carried out in this study, both of which proved to be highly effective. The approach used here is divergent investigation, by searching all quoted, decompiled script, and obvious data for targeted attribute determination as an initial step, and running an XML parser. The outcome of this research show that the impact of Hares is very significant. The application of HareGuard in this study proved to be effective in detecting all attack applications that were made. Further evaluation of the performance impact on the minimum system host. For future research, to make Harehunter more effective, it is suggested to use a more qualified analyzer. So that this direction can be explored in more depth.
Innovation In Project Management Utilizing Machine Learning Technology Joseph Teguh Santoso; Budi Raharjo
Journal of Technology Informatics and Engineering Vol. 2 No. 3 (2023): December : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v2i3.163

Abstract

The successful adoption of programmable machines for complex tasks opens up opportunities for productivity and more efficient communication, but also poses serious challenges in IT project management. This study aims to tackle the issue of high project failure rates caused by inadequate planning. It aims to assist project managers in enhancing their project planning by implementing real-time solutions through the utilization of machine learning (ML) algorithms and a user-friendly graphical interface. This research is divided into two key phases. The initial phase involves an examination of existing literature in the field of machine learning to identify relevant concepts applicable to project management. In the subsequent stage, two distinct types of ML algorithms, namely example-based learning and regression modeling, will be integrated into a user-friendly platform. This research develops a system that utilizes machine learning algorithms to assist project managers in real-time or near real-time through a user-friendly graphical interface, with a focus on improving project planning and risk mitigation. This research shows that machine learning algorithms provide positive results in overcoming human factors and preventing risks based on the experience of project managers.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TEKNIK MAKE A MATCH UNTUK MENINGKATKAN HASIL BELAJAR SISWA PADA PEMBELAJARAN KEWAJIBAN DAN HAKKU KELAS III DI SDN PENGARADAN 01 Budi Raharjo
JGuruku: Jurnal Penelitian Guru Vol 2 No 1 (2024)
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Universitas Kuningan

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Abstract

ABSTRAK Tujuan penelitian ini adalah untuk meningkatkan hasil belajar Tema 4 Subtema 4 Kewajiban dan Hakku Sebagai Warga Negara melalui penerapan model pembelajaran kooperatif teknik make a match pada siswa kelas III SDN Pengaradan 01, Tanjung, Brebes tahun ajaran 2019/2020. Bentuk penelitian ini adalah penelitian tindakan kelas (PTK) yang dilaksanakan dalam tiga siklus. Tiap siklus terdiri dari 4 tahapan yaitu perencanaan, pelaksanaan tindakan, observasi, dan refleksi. Subjek penelitian ini adalah guru dan 28 siswa kelas III SDN Pengaradan 01, Tanjung, Brebes. Teknik pengumpulan data yang dilakukan adalah observasi, wawancara, tes, dan dokumentasi. Teknik analisis data yang digunakan adalah analisi model deskriptif komparatif yaitu dengan membandingkan hasil sebelum dilakukan penelitian dengan hasil pada akhir tiap siklus setelah penelitian. Uji validitas data pada penelitian ini menggunakan validitas isi. Peningkatan hasil belajar dapat dibuktikan dengan meningkatnya nilai siswa pada setiap siklus yaitu nilai rata-rata hasil belajar perpindahan kalor siswa sebelum tindakan hanya sebesar 59,8. Pada siklus I menjadi 67,6 dan pada siklus II menjadi 74,8, lalu pada siklus III meningkat lagi menjadi 83,5. Sebelum dilaksanakan tindakan, siswa yang memperoleh nilai di atas KKM (≥71) hanya sebanyak 9 siswa (32%), pada siklus I meningkat menjadi 14 siswa (50%), dan pada siklus II meningkat lagi menjadi 21 siswa (75%). Dan pada siklus III meningkat menjadi 28 siswa atau 100%. Berdasarkan hasil penelitian yang telah dilaksanakan dapat disimpulkan bahwa dengan menggunakan model pembelajaran kooperatif teknik make a match dapat meningkatkan hasil belajar Tema 4 Subtema 4 Kewajiban dan Hakku sebagai warga negara pada kelas III SDN Pengaradan 01, Tanjung, Brebes tahun ajaran 2019/2020. Kata kunci: Make a match, kewajiban dan hak. APPLICATION OF THE MAKE A MATCH TECHNIQUE COOPERATIVE LEARNING MODEL TO IMPROVE STUDENT LEARNING OUTCOMES IN LEARNING OBLIGATIONS AND RIGHTS CLASS III AT SDN PENGARADAN 01 ABSTRACT The aim of this research is to improve learning outcomes for Theme 4, Subtheme 4, My Obligations and Rights as a Citizen through the application of the cooperative learning model of the make a match technique for class III students at SDN Pengaradan 01, Tanjung, Brebes for the 2019/2020 academic year. The form of this research is classroom action research (PTK) which is carried out in three cycles. Each cycle consists of 4 stages, namely planning, implementing actions, observing and reflecting. The subjects of this research were teachers and 28 class III students at SDN Pengaradan 01, Tanjung, Brebes. The data collection techniques used were observation, interviews, tests and documentation. The data analysis technique used is comparative descriptive model analysis, namely by comparing the results before the research is carried out with the results at the end of each cycle after the research. Testing the validity of the data in this research uses content validity. The increase in learning outcomes can be proven by the increase in student scores in each cycle, namely the average score of students' heat transfer learning outcomes before the action was only 59.8. In cycle I it was 67.6 and in cycle II it was 74.8, then in cycle III it increased again to 83.5. Before the action was implemented, only 9 students (32%) got scores above the KKM (≥71), in the first cycle this increased to 14 students (50%), and in the second cycle it increased again to 21 students (75%). And in cycle III it increased to 28 students or 100%. Based on the results of the research that has been carried out, it can be concluded that using the cooperative learning model, the make a match technique, can improve learning outcomes for Theme 4 Subtheme 4 My Obligations and Rights as a Citizen in class III at SDN Pengaradan 01, Tanjung, Brebes for the 2019/2020 academic year. Keywords: Make a match, obligations and rights
Characterization Of Composition Error Summary Using Machine Learning Techniques And Natural Language Processing Mars Caroline Wibowo; Budi Raharjo
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 16 No. 1 (2023): Vol 16 No 1 (2023): Jurnal Ilmiah Komputer Grafis
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v16i1.1885

Abstract

As software technology becomes more complex, software maintenance costs become more expensive. In connection with this, the development of software engineering makes the software system has many Composition choices that can be adjusted to the needs of the user. Error fixing involves analyzing Error Summary and modifying code. If bug-fixing steps are made as efficiently and effectively as possible then maintenance costs can be minimal. The purpose of this research is to establish a tool of machine learning for identifying Composition Error Summary and to find out the types of special Composition choices that can be used to save costs, time, and effort. In this study, the T-test was applied to appraise the analytical implication of conduct metrics when the “F-test” was taken to the Variance’s test. Classifiers used in this study are “All words” or “AW”, “Highly Informative Words” or “H-IW”, and “Highly Informative Words plus Bigram” or “H-WB”. Identical validation and Vexed validation techniques were used to calculate the effectiveness of machine learning tools. The results of this research denote that the instrument is competent for definitive Composition Error Summary and other Composition choices for definite Error Summary. This research determines the practicality of machine learning techniques in corrective issues relevant to Error summary. The result of this study also explained that Composition/non-Composition Error Summaries have contrasting aspects that can be accomplished by machine learning devices. The advanced tool could be upgraded in some areas to create it more powerful. The array identification section of the current study has limitations, an array with different words and Composition recognition tools tend to prefer Compositions with more words, so improvements to this could implicate consideration of the semantics of Error Summary, equivalent, and use of n-grams. Also, in using the technology of machine learning and Natural Language processing some advancements to be made to the present characterization structure so for future research it is highly recommended to clear up the first’s Error Summary before operating several operations in the present study.Composition Error Summary
AI For Effective Project Resources Management Budi Raharjo; Joseph Teguh Santoso
Elkom: Jurnal Elektronika dan Komputer Vol. 15 No. 2 (2022): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i2.1887

Abstract

This research endeavours to delve into the potential of Artificial Intelligence (AI) in bolstering Project Resource Management (PRM), discerning the principal challenges inherent in project resource planning, acquisition, and human as well as physical resource management, while also appraising the utilization of AI tools by project team members (PTM) and their efficacy in daily tasks. This research contributes a theoretical basis for what lies ahead studies in PM and unveils the benefits of AI in task monitoring, scheduling, team assignment, cost estimation, and the monitoring of physical project resource availability. This study employs a mixed-method approach, commencing with an initial literature review to identify project challenges. Data collection is facilitated through the administration of questionnaire surveys and interviews with project managers, encompassing both closed-ended and semi-structured questions. The research reveals that PTM readily embraces the utilization of AI for daily tasks and Project Resource Management can be enhanced through AI.
Emotional Identification Using Autoethnography Mars Caroline Wibowo; Budi Raharjo
International Journal of Graphic Design Vol. 1 No. 2 (2023): December: International Journal of Graphic Design
Publisher : University of Science and Computer Technology

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

Abstract

This study aims to explore the skills of emotion regulation and the use of visual expressions as nonverbal communication tools to raise awareness about the importance of identifying emotions and utilizing creativity and visual expression in dealing with emotions. Emotional intelligence has an important role in various fields, but attention to aspects of emphasizing emotional intelligence in communication design is still limited. Effective communication design must take into account the emotional impact on the audience, not just conveying information. The role of childhood adversity and generational trauma in shaping emotional regulation skills diminishes emotional intelligence in communication design. Research emphasizes the importance of emotional intelligence in communication design and explores the use of visual expressions as instruments of nonverbal communication. In addition, it is a valuable contribution to broadening the understanding of emotional intelligence and creative expression in effective communication. Autoethnography is employed as a strategy to delve into emotionally engaging design and to engage communities of individuals who may be uncertain or unskilled in effectively eliciting emotions from the written content. Through the process of autoethnography, the results of this study show personal progress in identifying emotions. This study creates awareness of the importance of emotional identification exercises and education about using ambient materials to deepen emotional experience through creativity and visual expression. Through an autoethnographic process, this study records personal progress in identifying emotions. Awareness of the importance of practicing emotional identification and utilizing surrounding materials to immerse oneself in emotional experiences, especially through creativity and visual expression, is also emphasized.
VIRTUAL LABORATORY FOR VIRTUAL ANALYSIS IN TECHNICAL EDUCATION Budi Raharjo; Yuli Fitriyanto; Sumaryanto Sumaryanto
Journal of Engineering, Electrical and Informatics Vol. 2 No. 2 (2022): Juni: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i2.915

Abstract

Face-to-face technical instruction is subject to the existence of instrumentation and room. The fee, security, and listing can manner blockade to the administration directly in the laboratory. Virtual analysis can be adopted to increase the scholar's expertise by combining pre-laboratory for live analysis and serving approach to implementing that cannot be used securely personality. Virtual learning is applied in many areas, but questions are left over about how it should be used in engineering, this is an area that is mainly dependent on face-to-face laboratory and classroom settings. The purpose of this research is to adapt the common virtual laboratory idea to special demands, Virtual laboratories are not intended to change face-to-face discipline but to add to class time and offer a useful reserve as required. In addition, the experimental development method in this study was carried out by 3 virtual platforms: “Lab-VIEW”, “MAT-LAB”, and “Unity”. The 1st form of the Helicopter-machine Virtual Laboratory was advanced at Lab-VIEW. Virtual laboratories offer a semi-hands-on experience in college learning that might overlook physical learning. It means a type of active learning method to be adopted in university. The result of this research is a brief investigation of development possibilities in Unity. So that in the future, Unity exploration can be done further and in more detail. Scope This research consists of themes plated by Engineering Measurement Laboratory 1 learning. Engineering lectures might reflect these topics to carry out Virtual analysis in their laboratory and traditional classroom learning. The points that might advantage of the method consist of Mechanical Systems Laboratory, Energy Systems Laboratory, Thermodynamics, and Dynamics. It is hoped that this research will cocked the expansion of more Virtual analysis that increase engineering education in the future.
Co-Authors Agung Suprihadi Aminuyati Anak Agung Istri Sri Wiadnyani Anindita Ayu Pratiwi Annisaa Widyasari Anto Budiharjo Antonius Sarjiya Devi Ayu Ningsih Editha Praditya Duarte Endang Kusdiyantini Hadi Ali Irda Yunianto Iskandar Sudirman Joseph Teguh Santoso Khoirul Huda Kristiani Dwiatmi Mamik Setyowati MG Isworo Rukmi Moeslich Hasanmihardja Nur Cahyanti Nur Sabrina Hasyyati Prawatya Cahyani Prayogo, Fitra Adi Priyo Pratomo PRIYO WAHYUDI Reza Auliarahman Bhaktinagara Riris Nurmila D. Rutty Wulandari Sarjito, Aris Sekar Ayu Yogyaswari Setiawan Wicaksono Sih Parmiyatmi Sofyan Fauzi Larosa Sri Endah Wahyuningsih Sri Handoko Sumaryanto Sumaryanto w wijanarka Wahyu Utaminingrum Wibowo, Mars Caroline Yanter Hutapea Yuli Fitriyanto