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Optimization of Electronic-Based Government System Architecture (SPBE) In The Application Architecture Domain In XYZ District Lisdiana, Lisdiana; Firmansyah, Gerry; Mulyo Widodo, Agung; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 12 (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.v2i12.405

Abstract

The Electronic-Based Government System (SPBE) is a government administration that utilizes information and communication technology to provide services to SPBE Users as stipulated in Presidential Regulation No. 95 of 2018. SPBE aims to create an integrated government business process between Central Agencies and Regional Governments, form a complete government unit and produce bureaucracy and high-performance public services. To support the implementation of SPBE, the National SPBE architecture is compiled as a detailed guide that covers technical and methodological aspects, ensuring the integration of government electronic systems. This architecture provides convenience in increasing efficiency and effectiveness, as well as being a guide for SPBE governance in Central Agencies and Regional Governments. The XYZ Regency Government has implemented the SPBE architecture as the basis for implementation in its area. This study analyzes the SPBE architecture in XYZ Regency based on the National SPBE architecture to provide optimization recommendations on the application architecture domain. Despite the existence of Presidential Regulation Number 95 of 2018 and Number 132 of 2022, the preparation of government architecture in Indonesia still faces challenges due to the lack of clear guidance. More detailed references are needed as derivatives of existing regulations to ensure consistent and optimal implementation, help agencies understand and implement the SPBE architecture, so that digital transformation towards Indonesia 4.0 is achieved by 2040.
Comparison of SVM, KNN, and Naïve Bayes Classification Methods in Predicting Student Transfers at BK Palu School Nugraha, William; Firmansyah, Gerry; Mulyo Widodo, Agung; Tjahjono, Budi
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) Mutedi, Ahmad; Mulyo Widodo, Agung; Firmansyah, Gerry; Tjahjono, Budi
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.
Clustering of Child Stunting Data in Tangerang Regency Using Comparison of K-Means, Hierarchical Clustering and DBSCAN Methods Azzam Robbani, Muhammad; Firmansyah, Gerry; Mulyo Widodo, Agung; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 12 (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.v2i12.422

Abstract

This study aims to analyze stunting in children in Tangerang Regency using clustering methods such as k-means, Hierarchical Clustering with Agglomerative Nesting, and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Stunting is a significant health issue affecting child growth due to chronic malnutrition and recurrent infections. The research revealed that k-means produced the best clustering results with a Silhouette Score of 0.52, indicating its effectiveness in categorizing children based on age, nutritional status, and stunting risk. The k-means method identified three clusters: Cluster 0 (ages 46-55 months, good nutrition, no stunting), Cluster 1 (ages 9-18 months, varied nutritional status, high stunting risk), and Cluster 2 (ages 27-36 months, good nutrition, no stunting). The study suggests preventive actions such as balanced nutrition education, regular health monitoring, complete immunizations, and physical activity, alongside curative measures like nutritional consultations and supplements. The findings provide a framework for targeted preventive and curative interventions, enabling Tangerang Regency's health department to effectively address and reduce stunting rates.
Strategic Analysis of Information Technology Architecture With Pepprard and Ward Methods At PT. Bank XYZ Irsyadul Anam, Reza; Firmansyah, Gerry; Siti Fatomah, Nenden; Tjahjono, Budi
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.
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.
Digital Marketing Innovation for MSMEs through ChatGPT Integration and Management Information Systems: A Technological Transformation Approach for Competitive Advantage Ningsih, Susilowati; Tjahjono, Budi
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13924

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a significant role in Indonesia's economy. However, with technological advancements and changing consumer trends, MSMEs face substantial challenges in maintaining and enhancing their competitiveness. The development of digital technology is an imperative that cannot be ignored if MSMEs are to remain relevant and competitive in the modern era. This research examines how the integration of ChatGPT and Management Information Systems (MIS) can positively impact the digital marketing of MSMEs and how these enterprises can leverage this technology to enhance their competitiveness. This study employs a literature review method with a qualitative approach. Data were obtained from Google Scholar covering the period from 2014 to 2024. The results indicate that digitalization, through the implementation of technologies such as ChatGPT and Management Information Systems, significantly impacts MSMEs by enhancing their competitiveness. Integrating ChatGPT with MIS not only improves operational efficiency but also enriches customer experience through more responsive and personalized services. Case studies from companies like Tokopedia, Zalora, and Kopi Kenangan demonstrate that adopting digital technology can expand market reach, increase sales, and improve stock management. However, challenges such as infrastructure limitations and the need for staff training must be addressed to ensure successful technology adoption. The long-term success of digital technology highlights the importance of sustainable investment and adaptation to evolving market trends.
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.
PERANCANGAN APLIKASI MENGGUNAKAN METODE REPOSITORY DESAIN PATTERN STUDI KASUS PIUTANG DAGANG Kusuma, Mahesa Adi; Yulhendri, Yulhendri; Tjahjono, Budi; Anwar, Nizirwan
Simtek : jurnal sistem informasi dan teknik komputer Vol. 10 No. 2 (2025): Oktober 2025
Publisher : STMIK Catur Sakti Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51876/simtek.v10i2.1640

Abstract

Sistem pengelolaan piutang dagang menjadi penting dalam menjaga arus kas keuangan perusahaan terutama dalam transaksi penjualan secara kredit. untuk merancang dan membangun sistem pengelolaan piutang berbasis website yang mendukung pencatatan, monitoring, dan pembayaran piutang. Metode Pengembangan sistem menggunakan salah satu pendekatan agile scrum yang memungkinkan berlangsung dalam proses pengembangan sistem lebih interatif dan adaptif terhadap perubahan-perubahan kebutuhan pengguna. Sistem ini dibagun dengan pola Repository pattern dalam pengembangan menggunakan laravel dengan integrasikan Midtrans sebagai payment gateway dalam proses pembayaran piutang, serta notifikasi otomatis jika piutang terhadap jatuh tempo masing-masing pengguna, pengelolaan laporan dalam piutang dan transaksi piutang. Pengujian performa menggunakan Apache JMeter membandingkan sistem dengan dan tanpa Repository Pattern. Hasil pengujian menunjukkan bahwa penerapan Repository Pattern menghasilkan rata-rata waktu respons 1696,333 ms, lebih cepat dibandingkan pendekatan tanpa Repository Pattern yang memiliki rata-rata 2081,667 ms
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.
Co-Authors *, Hairuduin A.A. Ketut Agung Cahyawan W Adhy, Dewanto Rosian Adigunawan, Adigunawan Aep Saepudin Ahmad Fuad Akbar , Habibullah Akbar, Habibullah Alami, Tegar Alexander Alexander, Alexander Andriana, Dian Antonius Suwanto Arfian, Muhamad Hadi Arfian, Muhammad Hadi Arniansyah, Arniansyah Aulia, Faujiatul Azzam Robbani, Muhammad Bambang Irawan Basyarewan, Humairoh Binastya Anggara Sekti Budi Aribowo Dafa Rizqi, Herin Dermawan Zebua Dewi, Riris Septiana Sita Djunaedi, Bagas Dwi Guntoro Dyah Kusuma Anggraini Edi Kartawijaya Fatonah, Nenden Siti Febrianto, Haris Fernandes Gamaliel, Adhi Firdaus, M. Dzulfiqar Firmansyah, Gerry Ghazalba, Annazma Gilang, Destian Gunawan, Sholeh Hadjarati, Panji Ramadhan Yudha Putra HAJRIAL ASWIDINNOOR Haryoto, Iin Sahuri Hermawan, Deky Hidayat, Muhamad Rifqi Huda, Nur Huda Hung Fei Ipung Sutejo, Bayu Sulistiyanto Irdika Mansur Irsyadul Anam, Reza ISKANDAR ZULKARNAEN SIREGAR Islamy, Muhammad Rafli Jabar, Ajib Abdul Jefry Sunupurwa Asri Judianto Leihitu, Donny Dwy Juliana Juliana Kartini Kartini Khairurrahman, Rifqi Kikin H Mutaqin Klaski Putri, Krisanti Kundang Karsono Kundang Karsono Juman Kusuma, Mahesa Adi Kusumah, Yayi Munara Leihitu, Donny Dwy Judianto Lisdiana Lisdiana M A Chozin Maemonah, Maemonah Malabay Malabay Malabay Martin Saputra, Martin Meiharsiwi, Ismiyati Mita, Vira Muhtadi, Yudi Muksin, Andreanata Pradifta Mulyo Widodo, Agung Munawar Munawar Mutedi, Ahmad Nabila, Efa Ayu Nainggolan, Restamauli br Nasihin, Anwar Natadirja, Trenggana Ningsih, Susilowati Nixon Erzed Nizirwan Anwar Nugraha, William Nur Widiyasono, Nur Nurjannah Nurjannah Pamungkas, Ryan Tri Prabowo, Ary PURNAMA HIDAYAT Qiqi Asmara, Abdullah Qur'ani, Isti Rahaman, Mosiur Rasyid, Ainur Ridwan, Ridwan Riya Widayanti Rizk, Muhamad Rohidin Rohidin, Rohidin RR. Ella Evrita Hestiandari Rudi Hermawan Rudy Setiawan RUSMILAH SUSENO Sabaruddin, Satria Saepudin Saepudin Sakron, Narul SARASWATI, RIA Septian, Ferby Septianto, Dian Fajar Setiawan, Sony Siregar, Sarah Veronica Siti Fatomah, Nenden Suardana, Made Aka Sugeng Santoso Suhendar Suhendar, Suhendar Sulistyo, Catur Agus Supriyade, Supriyade Suryahim, Iim Tarigan, Masmur Tengku Riza Zarzani N Teras, Deni Ummanah Ummanah, Ummanah Wahyu Sabiqudin, Muhammad Wardhana, Nindyo Artha Dewantara Widiasti, Adilah Widodo, Agung Mulyo Wijaya, Jacob S Wisnu Ananta Kusuma Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri Yuliati -