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All Journal JIK Jurnal Ilmu Komputer JUSIFO : Jurnal Sistem Informasi 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 JATI (Jurnal Mahasiswa Teknik Informatika) 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) Jurnal Sosial dan Teknologi Devotion: Journal of Research and Community Service Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Impresi Indonesia Journal Of World Science International Journal of Islamic Education, Research and Multiculturalism (IJIERM) Jurnal Locus Penelitian dan Pengabdian Malcom: Indonesian Journal of Machine Learning and Computer Science 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 Resocia: International Journal of Applied Research and Innovation Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Gerry Firmansyah
Universitas Esa Unggul, Jakarta, Indonesia
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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Strategic Information System Planning at RSUD Berkah Pandeglang Using the EAP (Enterprise Architecture Planning) Method Aulia, Anisa; Fatonah, Nenden Siti; Firmansyah, Gerry; Widodo, Agung Mulyono
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.885

Abstract

The intense competition in business development requires enterprises to innovate to assist in their business processes. One way to achieve success in innovation is by planning information systems and information technology that can meet business needs and align with current developments, using the Enterprise Architecture Planning (EAP) method. The results of the strategic information system planning include data architecture, application architecture, and network architecture. This research has produced a strategic planning document that can be used by RSUD BERKAH PANDEGLANG. This document contains data architecture, application architecture, and technology architecture.
Implementation of Vector-Based Melody Extraction for Plagiarism Detection Using Szymkiewicz-Simpson Coefficient Wardhana, Nindyo Artha Dewantara; Widodo, Agung Mulyo; Firmansyah, Gerry; Tjahjono, Budi
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.
Comprehensive Benchmarking of Message Brokers: Evaluating Performance and Security Metrics for Reliable Messaging Systems Putra, Sipky Jaya; Firmansyah, Gerry; Tjahjono, Budi; Akbar , Habibullah
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 11 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i11.5081

Abstract

A message broker plays a crucial role in distributed communication systems by ensuring reliable message delivery between services. In practice, choosing a message broker involves not only considering performance aspects such as latency and throughput but also security features like authentication, authorization, and encryption. However, challenges arise when enhancing security layers negatively impacts system performance. This study aims to explore and evaluate four popular message brokers—Apache Kafka, Apache Pulsar, Apache RocketMQ, and RabbitMQ—focusing on performance metrics (latency and throughput) across various security configuration levels (no security, TLS, basic authentication, and advanced authentication). The evaluation is conducted through standardized benchmarking processes to assess the impact of security feature implementation on overall system performance. The results of this research are expected to provide insights into the optimal balance between security and performance that remains acceptable by industry standards. Furthermore, the findings may assist developers and system architects in selecting the most suitable message broker configuration based on scalability requirements and data sensitivity levels.
Analisis Kerangka Kerja IT Governance Untuk Memitigasi Risiko Serangan Siber Pada Perusahaan Di Sektor Jasa Keuangan Rachman, Riyandi Patu; Firmansyah, Gerry; Akbar, Habibullah; Widodo , Agung Mulyo
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 11 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i11.5083

Abstract

Cybersecurity has become a critical issue for the financial services sector, which increasingly relies on information technology. Limited resources and inadequate Governance make this sector vulnerable to cyberattacks, which can lead to financial losses, data breaches, and operational disruptions. Therefore, implementing an effective IT Governance Framework is essential to enhance cyber resilience and mitigate attack risks. This study aims to analyze the role of IT Governance in mitigating cyberattack risks for companies in the financial services sector. The research employs a qualitative approach through case studies, interviews, and analysis of relevant documents. The findings indicate that most financial service companies still have low preparedness levels in facing cyber threats. Proper implementation of IT Governance can help improve protection and response to attacks, despite challenges in resources and security awareness.
Clustering-Based Identification of Student Support Needs in Higher Education Transition Mochamad Welly Rosadi; Nenden Siti Fatonah; Gerry Firmansyah; Habibullah Akbar
JUSIFO : Jurnal Sistem Informasi Vol 11 No 2 (2025): December
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v11i2.31031

Abstract

The transition from secondary to higher education represents a critical phase influenced by both academic readiness and socio-economic conditions. This study proposes a clustering-based approach to identify student support needs during this transition by analyzing multidimensional student profiles. Using secondary data from 1,226 senior high school students, three unsupervised clustering algorithms—K-Means, DBSCAN, and BIRCH—were applied to academic performance and socio-economic variables. Cluster quality was assessed using internal validation metrics, including the Silhouette Score, Davies–Bouldin Index, and Calinski–Harabasz Index. The results indicate that clustering-based methods provide richer insights than traditional rule-based approaches by capturing heterogeneous student profiles and revealing atypical cases. Among the evaluated algorithms, BIRCH demonstrated the most balanced performance in terms of cluster compactness and separation, while K-Means offered stable and interpretable results, and DBSCAN was effective in identifying outliers. Interpreted within the college readiness framework, the identified clusters highlight differentiated student support needs, enabling more targeted and equitable intervention strategies. These findings underscore the potential of educational data mining to support data-driven decision-making in facilitating students’ transition to higher education.
Analisis Kesiapan PT. XYZ Sebagai Penyedia Layanan TI Dalam Mengadopsi Standar Nist CSF dan ISO 27001 Sea, Rona Aulia Wangsa; Fatonah, Nenden Siti; Firmansyah, Gerry; Akbar , Habibullah
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 11 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i11.5084

Abstract

This study aims to analyze the readiness level of PT. XYZ, an information technology service provider, in adopting technology security frameworks, specifically NIST Cybersecurity Framework (CSF) and ISO 27001. A qualitative approach was applied through interviews with five informants from the executive level and technical teams. The data were analyzed using thematic analysis. Findings indicate that the company is still at an early stage of readiness and lacks a systematic approach to managing information security. The main inhibiting factors include the absence of formal policies, limited resources, and a low level of understanding of international standards. However, the management’s awareness and desire to enhance client trust serve as important driving factors. Recommended improvement strategies include conducting training, establishing formal security policies, forming dedicated security teams, and integrating security into business processes. This study provides a preliminary overview for the company in designing a standardized security strategy and serves as a reference for similar studies in the IT services sector.
Analisis Perbaikan Kurikulum SMK Berbasis Pada Framework Cobit 2019 Rosnanto, Imam; Fatonah, Nenden Siti; Firmansyah, Gerry; Tjahjono, Budi; Akbar , Habibullah
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 11 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i11.5146

Abstract

This study aims to analyze improvements to the Vocational High School (SMK) curriculum based on the COBIT 2019 framework as a standard for IT governance. Amid the rapid development of Industry 4.0 and digital transformation, the SMK curriculum must be adaptive and relevant to equip students with competencies aligned with workforce demands. The research uses a qualitative approach involving literature review, interviews, and an IT governance audit in vocational education. The analysis focuses on the Governance and Management domains of COBIT 2019 and their relation to the current SMK curriculum structure. The audit and analysis reveal gaps in risk management, information security, and curriculum implementation compared to ideal IT governance principles. Recommendations include strengthening curriculum planning, integrating digital competencies, and applying outcome-based performance measurement. This study is expected to contribute to improving vocational education quality through the effective and sustainable application of IT governance principles.
WEB-BASED FACIAL SKIN TYPE CLASSIFICATION SYSTEM BASED ON BAUMANN'S THEORY Budi Tjahjono; Dian Fajar Septianto; Gerry Firmansyah; Yulhendri; Suhatati Tjandra
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.5724

Abstract

The skin is a crucial organ in the human body, serving not only as the primary protective barrier but also exhibiting diverse characteristics such as specific types and conditions. Increasingly, people are recognizing the importance of skin care in their daily routines. However, a lack of understanding about different skin types and appropriate skin care products can pose challenges. This research aims to develop a facial skin type classification system based on the existing system. The development of this facial skin type classification system refers to Baumann's Theory, which categorizes skin into four characteristics: Hydration, Sensitivity, Pigmentation, and Aging. The system was developed using the Waterfall methodology and tested using Black Box Testing. The results of Black Box Testing demonstrate that the system functions well and meets the specified requirements. All features and functionalities operate optimally without significant bugs, indicating the success of the Waterfall approach in producing a reliable and ready-to-use system. This system is expected to assist users in accurately identifying their skin type and receiving appropriate skincare solutions, thereby improving the health and appearance of their facial skin.
Perbandingan Kinerja Model GRU dan CNN-1D untuk Analisis Sentimen Pergantian Menteri Keuangan pada Media Sosial X: Performance Comparison of GRU and CNN-1D in Sentiment Analysis for the Minister of Finance Replacement on Social Media X Yoggy Montana Hendry; Gerry Firmansyah; Hani Dewi Ariessanti; Agus Herwanto
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 3 (2026): MALCOM July 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i3.2556

Abstract

Media sosial X (sebelumnya Twitter) telah menjadi sumber penting untuk memahami opini publik terhadap berbagai isu sosial dan politik. Salah satu isu yang memicu beragam tanggapan masyarakat adalah pergantian Menteri Keuangan Purbaya Yudhi Sadewa. Penelitian ini bertujuan membandingkan kinerja dua arsitektur deep learning, yaitu Convolutional Neural Network satu dimensi (CNN-1D) dan Gated Recurrent Unit (GRU), dalam mengklasifikasikan sentimen publik berbahasa Indonesia ke dalam kategori positif, netral, dan negatif. Sebanyak 3.567 tweet dikumpulkan melalui API resmi platform X dalam periode 8 September hingga 8 Oktober 2025. Data diproses melalui tahapan pembersihan (cleansing data), case folding, normalisasi, dan tokenisasi. Pelabelan sentimen dilakukan menggunakan pendekatan berbasis leksikon (InSet), menghasilkan distribusi positif sebesar 1.957 (54,86%), negatif sebesar 934 (26,18%), dan netral sebesar 676 (18,95%). Hasil evaluasi menunjukkan bahwa CNN-1D mengungguli GRU dengan akurasi 80%, dibandingkan dengan 65% pada GRU. CNN-1D lebih efektif dalam mengekstraksi fitur lokal pada teks pendek, sedangkan GRU berfokus pada pemodelan dependensi sekuensial. Temuan ini menegaskan pentingnya kesesuaian antara arsitektur model dan karakteristik data dalam analisis sentimen pada teks pendek.
Integration Of Garch Models And External Factors In Gold Price Volatility Prediction: Analysis And Comparison Of Garch-M Approach Arisandi Langgeng Tardiana; Habibullah Akbar; Gerry Firmansyah; Agung Mulyo Widodo
Eduvest - Journal of Universal Studies Vol. 4 No. 5 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i5.1195

Abstract

This study investigates the volatility of gold prices by applying the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and extending it with the GARCH-M model, incorporating the Federal Reserve's interest rate as an external variable. The GARCH(1,1) model revealed a positive average daily return for gold, with high sensitivity to recent price changes, indicated by the significant estimation of mu and a high alpha1 value. The persistence of past volatility on current volatility is reflected by a beta1 value close to one. In the GARCH-M model development, a significant negative relationship was found between the Federal Reserve's interest rates and gold returns, suggesting that an increase in the Federal Reserve's interest rates could potentially decrease gold returns. An increase in the Log Likelihood value and improvements in information criteria such as the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC) indicate that the GARCH-M model provides a better fit than the GARCH(1,1) model that uses only gold price data. The study concludes that macroeconomic factors like the Federal Reserve's interest rates play a crucial role in influencing gold price volatility, and these findings can aid investors and portfolio managers in devising more effective risk management strategies. Additionally, the findings contribute to financial theory by highlighting the importance of multivariate models in the analysis of asset price volatility.
Co-Authors Achmad Randhy Hans Adhi Fernandes Gamaliel Adilah Widiasti Agam Aprianto Agung Mulyono Widodo Ahmad Mutedi Akbar, Habibullah Alandrian Surya Tantra Alandrian Surya Tantra Alexander Alexander, Alexander Alnino Dio Putera Alnino Dio Putera Amelia Sholikhaq Andriana, Dian Andrianto, Eko Andrih Setiawan Andriyanti Asianto Andriyanti Asianto Andriyanti Asianto Anisa Aulia Annazma Ghazalba Anwar Solihin, Muhamad Ardiansyah, Miri Arif Pami Setiaji Arisandi Langgeng Tardiana Asmara, Qiqi Aulia, Anisa Aurel Elviolita Putri 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 Catur Agus Sulistyo Devi Irawan Dian Fajar Septianto Dodo, La Dudy Fathan Ali Dwi Nurmawaty 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 Fiqar Haytsam Muhammad Dzul Qornain Ghazalba, Annazma Gilang Banuaji Gilang Romadhanu Tartila Gunawan, Sholeh Gusti Fachman Pramudi Habibullah Akbar Hadi, Muhammad Abdullah Hani Dewi Ariessanti Haryoto, Iin Sahuri Hendaryatna Hendaryatna Herwanto, Agus Husni Sastra Mihardja Husni Satra Mihardja Husni Satra Mihardja Ichwani, Arief Intan Setya Palupi Irawan, Devi Irsyadul Anam, Reza Ismiyati Meiharsiwi Kailani Ridwan, M Kevin Valeri Khairurrahman, Rifqi La Dodo Lingga Dwiaji Lisdiana Lisdiana Lisdiana Lisdiana M Bahrul Ulum, M Bahrul Marzuki Pilliang Master Maruahal Sidabutar Maulana, Syaban Meiharsiwi, Ismiyati Mochamad Welly Rosadi Muhammad Azzam Robbani Muhammad Ersa Arkhab Muhammad Fajrul Aslim Muhammad Hadi Arfian Muhammad Kailani Ridwan Munawar Muslih, Muhamad Mutedi, Ahmad Narul Sakron Nasihin, Anwar Nenden Siti Fatomah Nila Rusiardi Jayanti Nindyo Artha Dewantara Wardhana Noval Rizky Ramadhan Nugraha, William Nugroho Budhisantosa Popong Setiawati Popong Setiawati Putra, Sipky Jaya Rachman, Riyandi Patu Randhy Hans, Achmad Raynaldi Sandy Raynaldi Sandy Reza Irsyadul Anam Rifqi Khairurrahman Riris Septiana Sita Dewi Riya Widayanti Riyan Asep Susanto Rizky Yananda Rosnanto, Imam Rudy Setiawan Ryan Tri Pamungkas Sabri Alim Sakron, Narul Sea, Rona Aulia Wangsa Sholeh Gunawan Sigit Purworaharjo Siti Fatomah, Nenden Sri Redjeki Sugiyanti, Sri Dewi Suhatati Tjandra Suhendry, Mohammad Roffi Supardi Supardi Supriyade Supriyade Supriyade, Supriyade Syaban Maulana Syafika Zalfanissa Dila Syafika Zalfanissa Dila Trifina Sartamti Valencia Patrice Gracia Pangaribuan Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah Widodo, Agung Mulyo Widodo, Agung Mulyono Wijaya, Jacob S William Nugraha William Nugraha Pratama Laua Yessy Oktafriani Yoggy Montana Hendry Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri