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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) 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) 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
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Analysis of Drowsiness Detection based on Images Using Convolutional Neural Network Nasihin, Anwar; Akbar, Habibullah; Firmansyah, Gerry; Tjahjono, Budi
ASTONJADRO Vol. 13 No. 2 (2024): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v13i2.14888

Abstract

Drowsiness detection is crucial in maintaining the safety and alertness of individuals, especially in high-risk situations such as driving or operating heavy machinery. This research aims to develop a drowsiness detection system based on facial images using Convolutional Neural Network (CNN) with a focus on the AlexNet method and its comparison with ResNet. In this study, facial image data was collected from various conditions of drowsiness and normal conditions. Image preprocessing was performed to standardize the size and ensure consistent image quality. AlexNet and ResNet were implemented and trained using the image dataset to identify distinctive patterns that differentiate drowsy faces from faces in a normal state. The results of the experiments showed that the use of AlexNet and ResNet methods effectively detects drowsiness in facial images with high accuracy. However, there are performance differences between the two methods. ResNet demonstrated superior performance in certain conditions, while AlexNet showed advantages in other cases. This research contributes to the development of facial image-based drowsiness detection technology applicable in various fields, including smart vehicles and security systems. The comparison results between AlexNet and ResNet also provide valuable insights for selecting the most suitable CNN method for drowsiness detection applications based on facial images.
Audit Tata Kelola Teknologi Informasi Menggunakan Framework COBIT 2019 Pada Rumah Sakit Medika Dramaga Andriana, Dian; Firmansyah, Gerry; Tjahjono, Budi; Widodo, Agung Mulyo; Akbar , Habibullah
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 8 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i8.4176

Abstract

Penelitian ini bertujuan untuk mengevaluasi tata kelola teknologi informasi (TI) di Rumah Sakit Medika Dramaga menggunakan kerangka kerja COBIT 2019. Hasil audit menunjukkan bahwa meskipun beberapa aspek tata kelola TI telah mencapai tingkat tertentu, masih terdapat kesenjangan antara kondisi saat ini dan harapan yang diinginkan. Pada domain APO12 (Pengelolaan Risiko), tingkat kemampuan mencapai 87% pada level 2 dan 73% pada level 3, namun tidak ada pencapaian pada level 4 dan 5. Sementara itu, pada domain APO13 (Pengelolaan Keamanan Informasi), tingkat kemampuan hanya mencapai 82% pada level 2 tanpa pencapaian pada level yang lebih tinggi. Kesenjangan ini menunjukkan bahwa pengelolaan risiko dan keamanan informasi masih memerlukan peningkatan signifikan untuk mencapai standar yang diharapkan. Berdasarkan temuan tersebut, penelitian ini memberikan beberapa rekomendasi, termasuk evaluasi kebijakan manajemen risiko, implementasi teknologi pendukung, pelatihan SDM, dan pengembangan strategi jangka panjang untuk meningkatkan tata kelola TI. Dengan menerapkan rekomendasi ini, diharapkan Rumah Sakit Medika Dramaga dapat meningkatkan keamanan dan keandalan sistem informasi serta meminimalkan risiko kebocoran data.
Evaluasi dan Optimasi Kinerja MySQL Master-Slave dengan Metode Kuantitatif pada Database Pemohon Tes Psikologi SIM PT XYZ pada POLDA METRO JAYA Haryoto, Iin Sahuri; Firmansyah, Gerry; Tjahjono, Budi; Widodo, Agung Mulyo; Akbar, Habibullah; Fatonah, Nenden Siti
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 9 (2025): : JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i9.4685

Abstract

The development of information technology and cloud computing has enabled organizations to manage large-scale data efficiently. PT XYZ, which is engaged in psychological testing for Driving Licenses (SIM), uses a web-based system with a MySQL database that has implemented master-slave replication. However, as the data volume increases to 4,000-5,000 entries per day, the system experiences performance constraints, especially in the speed of read and write queries. This study aims to optimize the performance of the MySQL database by adjusting the server configuration and specifications to improve system efficiency. The test results show that server specification settings, including processor speed, memory size, and replication configuration, play an important role in improving system performance. By adjusting the master and slave server configurations, the system shows a significant increase in database response time and operational efficiency. This optimization is expected to be a reference in the implementation and management of large-scale databases using MySQL replication.
Enterprise Architecture Design of Indonesian Engineers Association Using The Open Group Architecture Framework (TOGAF) Qiqi Asmara, Abdullah; Firmansyah, Gerry; Tjahjono, Budi; Mulyo Widodo, Agung; Yudha Putra Hadjarati, Panji Ramadhan
Devotion : Journal of Research and Community Service Vol. 5 No. 9 (2024): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v5i9.7640

Abstract

The Indonesia Engineers Association has used Microsoft Dynamics Axapta (AX) enterprise resource planning (ERP) software as its operational support system. However, there are obstacles that are obstacles to completing business processes effectively by users, which have an impact on declining work performance and not achieving company targets. In addition, for the next 3 years, IT solutions are also needed to be able to support business development in the company. The implementation of Enterprise Architecture is expected to be the answer for the Indonesia Engineers Association in the next 3 years, so that the company can be more productive and develop as well as there is alignment between the business strategies owned by the company to optimize the use of information systems and information technology owned by the Indonesia Engineers Association. The basis for choosing using the TOGAF ADM method in designing Enterprise Architecture is that TOGAF ADM has a complete methodology, clear and structured stages, so that the design and specifications become easier and reduce the implementation risks faced by the Indonesia Engineers Association. This research is expected to provide insights for policymakers and enterprise architecture practitioners in selecting and implementing the framework that best suits the context and needs of their organizations. In addition, this study also provides recommendations to improve the efficiency and effectiveness of the implementation of enterprise architecture in the Indonesia Engineers Association.
Evaluation And Modeling of Business Processes in Employee Admissions Selection Using The Quality Evaluation Framework (Qef) Case Study (PT. Indofresh) Andrianto, Eko; Firmansyah , Gerry
International Journal of Islamic Education, Research and Multiculturalism (IJIERM) Vol 5 No 2 (2023)
Publisher : The Islamic Education and Multiculturalism Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47006/ijierm.v5i2.221

Abstract

This study aims to simplify business processes to increase the effectiveness and efficiency of a recruitment process and improve the performance of the recruitment business process. In this study, the authors used descriptive research with a qualitative approach. The conceptual framework model in this research consists of problems, methods, comparative experiments, and results, so the research procedure also needs to be carried out because it is wrong one crucial process, from the results of the analysis using the Quality Evaluation Factor (QEF) researchers found that there were findings of four quality factors that did not match the target of the employee recruitment process in PT. Indofresh is the business process of receiving application files and screening application files, invitation business processes, business processes of candidates present in the test and psychological test process, and business processes of participants to continue the interview process. Of the four quality factors, researchers identified the causes of discrepancies in the recruitment process in observations and interviews conducted and used them as a basis for improvements to the corresponding kids. Modeling carried out using BPMN is then simulated to get several recommendation results on each quality factor.
Evaluating the Performance of Association Rules in Apriori and FP-Growth Algorithms: Market Basket Analysis to Discover Rules of Item Combinations Dwiputra, Dedy; Mulyo Widodo, Agung; Akbar, Habibullah; Firmansyah, Gerry
Journal of World Science Vol. 2 No. 8 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i8.403

Abstract

This study focuses on applying data mining techniques, especially association rules mining using the Apriori and FP-GROWTH algorithms, for market basket analysis on PT. XYZ is a pharmaceutical company in Indonesia. A quantitative methodology uses a dataset of 100,498 transactions originating from 432,356 rows of data covering July to December 2022 in the JABODETABEK area. Apriori and FP-GROWTH algorithms are applied for association rules mining. The results show that FP-GROWTH has the fastest execution time of 84,655 seconds. However, the memory usage for the Apriori algorithm is the lowest at 482.32 MiB, with increments of: 0.21 MiB. For the rules generated, the two algorithms, both Apriori and FP-GROWTH, produce the same number of rules and values of support, confidence, lift, Bi-Support, Bi-Confidence, and Bi-Lift. In conclusion, Apriori is recommended for sales datasets if memory usage and ease of implementation are important. However, if the speed of execution time and a large amount of data are considered, FP-GROWTH is a better choice because the execution time is faster for large amounts of data. However, the choice of algorithm depends on the specific analysis objectives, itemset size, data scale, and computational capabilities. Results from association rules mining provide evidence of product popularity, purchasing patterns, and opportunities for strategic marketing and inventory management. These findings can help PT. XYZ improves business efficiency, understands customer behavior, and increases profitability.
Analisis dan Design Knowledge Management System pada PT XYZ dengan Menggunakan Metode Tiwana Alexander, Alexander; Firmansyah, Gerry; Tjahjono, Budi; Mulyo Widodo, Agung; Akbar , Habibullah
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 8 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i8.4686

Abstract

Dalam dunia bisnis, keberlangsungan dan pertumbuhan suatu perusahaan sangat dipengaruhi oleh kualitas sumber daya manusia (SDM) atau karyawan yang dimiliki, karyawan yang kompeten dan memiliki wawasan pengetahuan yang luas dianggap sebagai aset penting yang dapat menjadi pembeda utama antara perusahaan dengan para pesaingnya. Maka dari itu, perusahaan biasanya berinisiatif untuk melakukan berbagai macam program pelatihan dan pengembangan yang bertujuan untuk meningkatkan kemampuan dan pengetahuan karyawannya secara berkelanjutan, hal lain yang dapat dilakukan oleh perusahaan adalah dengan mengelola pengetahuan dari karyawannya melalui sebuah tools yaitu Knowledge Management System (KMS). Sebagai perusahaan konsultan properti terkemuka dengan jaringan global yang luas, PT XYZ memiliki komitmen untuk dapat mengembangkan pengetahuan karyawannya, PT XYZ selalu berupaya untuk menciptakan lingkungan kerja yang mendukung pertumbuhan pengetahuan, terutama bagi karyawan di bidang Information and Technology (IT). Penelitian ini menggunakan metode Tiwana yang dilakukan hingga tahapan ke-6 dari 10 tahapan yang ada, dengan tujuan penelitian untuk menghasilkan blueprint sebagai landasan untuk merancang KMS yang sesuai dengan kebutuhan perusahaan. Adapun hasil dari penelitian ini adalah sebuah blueprint rancangan KMS.
Pengembangan Model IT Masterplan untuk Perguruan Tinggi: Studi Kasus Pada Universitas Bakrie dengan Pendekatan TOGAF Wijaya, Jacob S; 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.v4i11.4859

Abstract

Transformasi digital di perguruan tinggi menuntut perencanaan teknologi informasi yang strategis, terstruktur, dan berkelanjutan agar mampu mendukung efisiensi akademik dan administrasi. Penelitian ini bertujuan untuk menyusun IT Masterplan Universitas Bakrie sebagai kerangka strategis pengembangan sistem informasi dan transformasi digital universitas secara holistik. Metode penelitian menggunakan pendekatan kualitatif dengan kombinasi analisis dokumen, wawancara semi-terstruktur, dan survei di lingkungan Universitas Bakrie, termasuk Biro Rektorat, Direktorat TI, dan fakultas-fakultas. Analisis dilakukan dengan mengacu pada kerangka kerja Enterprise Architecture (EA) menggunakan TOGAF Architecture Development Method (ADM) serta analisis kesenjangan (gap analysis) antara kondisi eksisting dan target arsitektur yang diinginkan. Hasil penelitian menunjukkan bahwa kondisi sistem TI Universitas Bakrie masih terfragmentasi, dengan beberapa aplikasi tidak saling terintegrasi dan data yang tersebar. Rekomendasi utama berupa rancangan arsitektur target yang menerapkan model berbasis layanan (service-oriented architecture) dan integrasi melalui middleware untuk mendukung pertukaran data lintas unit secara real-time. Selain itu, disusun pula desain data warehouse terpusat serta mekanisme tata kelola data (data governance) untuk meningkatkan akurasi dan analitik lintas fungsi. Implementasi IT Masterplan ini diharapkan mampu meningkatkan efisiensi pengelolaan sumber daya TI, mengurangi redundansi sistem, memperkuat interoperabilitas aplikasi, serta mendorong kelincahan digital universitas dalam menghadapi era transformasi pendidikan tinggi.
Comparative Performance of Learning Methods In Stock Price Prediction Case Study: MNC Corporation Khairurrahman, Rifqi; Firmansyah, Gerry; Tjahjono, Budi; Mulyo Widodo, Agung
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.
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.
Co-Authors Achmad Randhy Hans Adhi Fernandes Gamaliel Adilah Widiasti Agam Aprianto Agung Mulyono Widodo Ahmad Mutedi Akbar, Habibullah Alexander Alexander, Alexander Amelia Sholikhaq Andriana, Dian Andrianto, Eko Andrih Setiawan Andriyanti Asianto Anisa Aulia Annazma Ghazalba Anwar Solihin, Muhamad Ardiansyah, Miri Arif Pami Setiaji Arisandi Langgeng Tardiana Asmara, Qiqi Aulia, Anisa 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 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 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 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 Putra, Sipky Jaya Rachman, Riyandi Patu Randhy Hans, Achmad 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 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