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All Journal JIK Jurnal Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL TEKNOLOGI DAN OPEN SOURCE Astonjadro CCIT (Creative Communication and Innovative Technology) Journal JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences International Journal Of Science, Technology & Management (IJSTM) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Devotion: Journal of Research and Community Service Jurnal Impresi Indonesia Journal Of World Science International Journal of Islamic Education, Research and Multiculturalism (IJIERM) Jurnal Locus Penelitian dan Pengabdian Jurnal Indonesia Sosial Teknologi Jurnal Indonesia Sosial Sains Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Asian Journal of Social and Humanities INOVTEK Polbeng - Seri Informatika
Gerry Firmansyah
Universitas Esa Unggul
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Transportation Other

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Comparison of SVM, KNN, and Naïve Bayes Classification Methods in Predicting Student Transfers at BK Palu School William Nugraha; Gerry Firmansyah; Agung Mulyo Widodo; Budi Tjahjono
Asian Journal of Social and Humanities Vol. 3 No. 1 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v3i1.413

Abstract

Student transfers are a significant issue in schools and can affect the dynamics of education and student performance. This research aims to predict student transfers using a comparative analysis of three classification methods: Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Naïve Bayes. The study utilizes historical data from BK Palu School, covering the years 2022 to 2024, which includes demographic, academic, socio-economic, and student quality information. The methodology involves data collection, data preparation, algorithm selection, implementation, and evaluation of the three methods. The performance of the classification methods is assessed using metrics such as accuracy, precision, recall, and F1-score. The results indicate that SVM has the highest accuracy in predicting student transfers, followed by KNN and Naïve Bayes. This study contributes to identifying key factors influencing student transfers and offers schools a robust model to develop targeted strategies for reducing transfer rates. Ultimately, this research provides insights into optimizing student retention and improving the overall quality of education.
Enterprise Architecture Business Model Planning Using EAP Framework (Case Study: PT. Gempita Cahaya Makmur) Ahmad Mutedi; Agung Mulyo Widodo; Gerry Firmansyah; Budi Tjahjono
Asian Journal of Social and Humanities Vol. 3 No. 1 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v3i1.416

Abstract

The advancement of technology in a company has an impact on improving business quality. From this observation, architectural planning is a part that is used to build alignment between business strategy and information technology. Architecture within the business domain illustrates how a company conducts business activities and functions to achieve the company's goals. Therefore, the company's business model architecture depicts the current state of architecture by identifying business needs and activities. From this study, the business role of PT. GEMPITA CAHAYA MAKMUR, a company engaged in the procurement of goods and services, especially in the field of wholesale office stationery, printing, photocopier sales, and photocopier and laptop rentals, which has customers from medium-sized companies, large companies, both private and government. The use of the Enterprise Architecture Planning or EAP framework focuses on business architecture. The purpose of this research is expected to produce a blueprint proposal that will be beneficial for PT. GEMPITA CAHAYA MAKMUR to plan the business model architecture that will become the foundation for the design phase of application architecture.
Strategic Analysis of Information Technology Architecture With Pepprard and Ward Methods At PT. Bank XYZ Reza Irsyadul Anam; Gerry Firmansyah; Nenden Siti Fatomah; Budi Tjahjono
Asian Journal of Social and Humanities Vol. 3 No. 1 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v3i1.437

Abstract

The rapid development of the digital era has placed Information Technology (IT) as a crucial element in the banking industry. PT. Bank XYZ aims to enhance its IT capabilities to achieve its business objectives and become one of Indonesia's top banks. In line with the regulatory requirements of POJK No. 11/POJK.03/2022, this research focuses on a strategic analysis of PT. Bank XYZ's IT architecture using the Pepprard and Ward methods, combined with Anita Cassidy’s approach. The research analyzes the current conditions of the bank’s IT architecture and external factors, employing PEST and Porter’s Five Forces methods, followed by a SWOT analysis to identify strengths, weaknesses, opportunities, and threats. From this analysis, strategic recommendations are provided to support the bank’s IT goals over a four-year period (2024-2028). The strategic plan consists of 19 key IT programs covering applications, data, and technology, aimed at enhancing customer experience, data quality, and infrastructure resilience. This roadmap will help PT. Bank XYZ improve its IT operations and align its technological advancements with its business objectives, positioning the bank for growth in the competitive banking sector. The research contributes practical insights into developing an IT strategy that complies with regulatory standards and supports long-term corporate goals.
Comparative Performance of Learning Methods In Stock Price Prediction Case Study: MNC Corporation Rifqi Khairurrahman; Gerry Firmansyah; Budi Tjahjono; Agung Mulyo Widodo
Asian Journal of Social and Humanities Vol. 2 No. 5 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i5.252

Abstract

Shares are a popular business investment, the development of information technology now allows everyone to buy and sell shares easily online, investment players, both retail and corporate, are trying to make predictions. The purpose of this study is to find out comparative performance of learning methods in stock price prediction. There are currently many research papers discussing stock predictions. using machine learning / deep learning / neural networks, in this research the author will compare several superior methods found in the latest paper findings, including CNN, RNN LSTM, MLP, GRU and their variants. From the 16 result relationships and patterns that occur in each variable and each variable is proven to show its respective role with its own weight, in general we will summarize the conclusions in chapter V below, but in each analysis there are secondary conclusions that we can get in detail. The variable that has the most significant effect on RMSE is variable B (repeatable data) compared to other variables because it has a difference in polarity that is so far between yes and no. The configuration of input timestep (history)=7 days and output timetep (prediction)=1 day is best for the average model in general.
Drug Stock Optimization at Hospital Depot Using Shuffle Frog Leaping Algorithm (SFLA) Annazma Ghazalba; Agung Mulyo Widodo; Budi Tjahjono; Gerry Firmansyah
Asian Journal of Social and Humanities Vol. 2 No. 11 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i11.409

Abstract

Optimal, efficient, and accurate drug stock management at hospital depots is crucial for ensuring the smooth operation of medical and operational services. Therefore, the use of machine learning is currently essential for managing drug stocks at hospital depots more optimally. This optimization process involves stages such as data collection, data pre-processing, attribute selection, data labeling, classification algorithm selection, model training, model eval_uation, and result interpretation. The data used in this research includes information on drug stocks at hospital depots with details on drug items, quantities, prices, depot origins, demand trends, and types of transactions. The aim of using these algorithms is to classify drug stock items into categories such as "sufficient," "deficient," and "excess" based on historical data patterns and relevant attributes. Model eval_uation is carried out by comparing classification results with actual data and measuring eval_uation metrics such as accuracy, precision, recall, and F1-score. It is hoped that the classification results will indicate the need for optimization in the previously implemented algorithms and provide new solutions for managing drug stocks at hospital depots. The Shuffle Frog Leaping algorithm (SFLA) implemented will help drug stock management staff identify demand patterns more optimally, efficiently, and accurately. Thus, this research has the potential to make significant contributions to optimizing drug stock management and decision-making at hospital depots, which will also positively impact the progress of hospital services.
Analysis of Knowledge Management Strategies for Handling Cyber Attacks with the Computer Security Incident Response Team (CSIRT) in the Indonesian Aviation Sector Dwiaji, Lingga; Widodo, Agung Mulyo; Firmansyah, Gerry; Tjahyono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 6 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i6.261

Abstract

Cyber attacks are one of the genuine threats that have emerged due to the evolution of a more dynamic and complex global strategic environment. In Indonesia, several cyber attacks target various government infrastructure sectors. The National Cyber and Crypto Agency (BSSN) predicts Indonesia will face approximately 370.02 million cyber attacks in 2022. The majority of cyber attacks target the government administration sector. The National Cyber and Crypto Agency (BSSN) officially formed a Computer Security Incident Response Team (CSIRT) to tackle the rampant cybercrime cases. CSIRT is an organization or team that provides services and support to prevent, handle, and respond to computer security incidents. The current CSIRT does not have a data storage process and forensic preparation. CSIRT will repeat the procedure, and so on. This is a repeating procedure; the attack will occur once, and only a technical problem will arise. Therefore, the research entitled "Analysis of Knowledge Management Strategies for Handling Cyber Attacks with the Computer Security Incident Response Team (CSIRT)" is expected to implement this Knowledge Management Strategy to manage existing knowledge so that it can make it easier for the CSIRT team to handle cyber attacks that occur.
Assessment of the level of student understanding in the distance learning process using Machine Learning Widiasti, Adilah; Widodo, Agung Mulyo; Firmansyah, Gerry; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 6 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i6.272

Abstract

As technology develops, data mining technology is created which is used to analyse the level of understanding of students. This analysis is conducted to group students according to their ability to understand and master the subject matter. This research can provide guidance and insight for educators, as well as artificial intelligence, machine learning, association techniques, and classification techniques. Researchers and policymakers are working to optimise learning and improve the quality of student understanding. This study aims to analyse the level of student understanding in simple and structured terms. Using the Machine learning method to analyse the level of student understanding has the potential to impact the quality of education significantly. In addition, machine learning categories are qualified to be applied to the concept of data mining. The data mining techniques used are association and classification. Association techniques are used to determine the pattern of distance student learning. The following process of classification techniques is used to determine the variables to be used in this study using the Logistic Regression model where data that have been classified are grouped or clustered using the K-Means algorithm into three, namely the level of understanding is excellent, sound, and lacking, based on student activity, assignment scores, quiz scores, UTS scores, and UAS scores.
Implementation of Vector-Based Melody Extraction for Plagiarism Detection Using Szymkiewicz-Simpson Coefficient Nindyo Artha Dewantara Wardhana; Agung Mulyo Widodo; Gerry Firmansyah; Budi Tjahjono
Jurnal Indonesia Sosial Sains Vol. 5 No. 04 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i04.1084

Abstract

Plagiarism is topical within the music industry. It is filled with circumstances such as the potential of massive losses coupled with a “false-positive” court ruling due to the blurred line of plagiarism factor. This research aims to solve the gray line of music plagiarism by exploring the potential of the Szymkiewicz-Simpson coefficient toward musical aspects of music. Melody and Rhythm are chosen as the main features to focus on in the research. MIDI files of music involved in court cases are used as data for the study, with limitations put on what cases can be used for the research. Using a threshold range of 0.1 to 0.25, detection accuracies for melodic plagiarism range from 45% to 60%, while rhythm plagiarism ranges from 60 to 65%. This shows that the algorithm of plagiarism detection has a tendency to detect non-plagiarism cases and is more effective towards rhythm plagiarism detection rather than melodic plagiarism detection against existing plagiarism cases.
Analysis of The Maturity Level of Cyber Security in The Context of Personal Data Protection for MSMEs in Depok City Sulistyo, Catur Agus; Firmansyah, Gerry; Tjahjono, Budi; Widodo, Agung Mulyo
Eduvest - Journal of Universal Studies Vol. 5 No. 2 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i2.50822

Abstract

This research explores the cybersecurity maturity level in the context of personal data protection for Micro, Small, and Medium Enterprises (MSMEs) in Depok City, Indonesia. The increased use of digital technology by MSMEs has raised concerns about personal data security and the vulnerability to cyberattacks. This study aims to develop an assessment tool that MSMEs can use to evaluate their compliance with the Personal Data Protection (PDP) Law and measure their readiness to face cybersecurity challenges. Through a combination of qualitative and quantitative methods, the study analyzes MSMEs' preparedness for cybersecurity and compliance with the PDP Law. The results reveal that while 60.2% of MSMEs manage personal data, a significant 93.5% have not complied with the PDP Law, exposing them to potential financial losses and cyber risks. The research emphasizes the need for MSMEs to adopt a simple yet effective cybersecurity framework to ensure data protection and compliance.
Prototype Green Energy System for Real Estate Housing Development Based Internet of Everything Suhendar, Suhendar; Irawan, Bambang; Firmansyah, Gerry; Tjahjono, Budi; Erzed, Nixon; Rahaman, Mosiur
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51212

Abstract

Climate change and the crisis of conventional energy resources are two interrelated global issues that severely impact environmental sustainability and economic development. Real estate development using renewable energy is carried out for various reasons involving environmental, economic, and social aspects. Internet of Everything (IoE) is a concept that expands the Internet of Things (IoT), including machine-to-machine, machine-to-person, and person-to-person communications with expanded digital features. The research method is quantitative, with numerical data that can be statistically measured in system performance. The research focuses on developing a prototype architecture of green energy for real estate development to maximize the efficiency of solar energy potential. The research's conclusion holds excellent promise for broader implementation. Solar energy's efficiency and potential can be maximized as a renewable energy source by utilizing the Internet of Everything (IoE) for real-time monitoring, control, and analysis. Additionally, this approach can offer valuable insights for decision-making in energy management going forward.
Co-Authors Achmad Randhy Hans Adhi Fernandes Gamaliel Adilah Widiasti Agung Mulyono Widodo Ahmad Mutedi Akbar, Habibullah Alandrian Surya Tantra Alexander Alexander, Alexander Alnino Dio Putera Amelia Sholikhaq Andriana, Dian Andrianto, Eko Andriyanti Asianto Andriyanti Asianto Anisa Aulia Annazma Ghazalba Anwar Solihin, Muhamad Ardiansyah, Miri Arif Pami Setiaji Asianto, Andriyanti Aulia, Anisa Aurel Elviolita Putri Ayu Larasati Azizah, Anik Hanifa Azzam Robbani, Muhammad Bayu Sulistiyanto Ipung Sutejo Bob Tjahjono Budi Aribowo Budi Tjahjono Budi Tjahyono Budi Tjahyono Budi Tjahyono Devi Irawan Dewi, Riris Septiana Sita Dodo, La Dudy Fathan Ali Dwi Nurmawaty Dwi Pamungkas, Eric Dwiaji, Lingga Dwiputra, Dedy Edi Kartawijaya Eric Dwi Pamungkas Farida Farida Fathan Ali, Dudy Fatonah, Nenden Siti Fernandes Gamaliel, Adhi Ghazalba, Annazma Gilang Banuaji Gunawan, Sholeh Gusti Fachman Pramudi Hadi, Muhammad Abdullah Haryoto, Iin Sahuri Hendaryatna Hendaryatna Husni Sastra Mihardja Husni Satra Mihardja Husni Satra Mihardja Intan Setya Palupi Ipung Sutejo, Bayu Sulistiyanto Irawan, Devi Irsyadul Anam, Reza Ismiyati Meiharsiwi Kailani Ridwan, M Khairurrahman, Rifqi La Dodo Lingga Dwiaji Lisdiana Lisdiana Lisdiana Lisdiana M Bahrul Ulum, M Bahrul Master Maruahal Sidabutar Maulana, Syaban Meiharsiwi, Ismiyati Muhammad Azzam Robbani Muhammad Fajrul Aslim Muhammad Kailani Ridwan Munawar Munawar Muslih, Muhamad Mutedi, Ahmad Narul Sakron Nasihin, Anwar Natadirja, Trenggana Nenden Siti Fatomah Nenden Siti Fatonah Nenden Siti Fatonah Nenden Siti Fatonah Nila Rusiardi Jayanti Nindyo Artha Dewantara Wardhana Nixon Erzed Nugraha, William Nugroho Budhisantosa Pamungkas, Ryan Tri Popong Setiawati Putra, Sipky Jaya Qiqi Asmara, Abdullah Rachman, Riyandi Patu Rahaman, Mosiur Ramadhan, Noval Rizky Randhy Hans, Achmad Reza Irsyadul Anam Rifqi Khairurrahman Riya Widayanti Riyan Asep Susanto Rizky Yananda RR. Ella Evrita Hestiandari Rudy Setiawan Sabri Alim Sakron, Narul Sandy, Raynaldi Sholeh Gunawan Sigit Purworaharjo Siti Fatomah, Nenden Sri Redjeki Sugiyanti, Sri Dewi Suhendar Suhendar, Suhendar Suhendry, Mohammad Roffi Sulistyo, Catur Agus Supardi Supardi Supriyade Supriyade Supriyade, Supriyade Syafika Zalfanissa Dila Tardiana, Arisandi Langgeng Tartila, Gilang Romadhanu Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah Widodo, Agung Mulyo Widodo, Agung Mulyono Wijaya, Jacob S William Nugraha Yessy Oktafriani Yudha Putra Hadjarati, Panji Ramadhan