Claim Missing Document
Check
Articles

Found 8 Documents
Search

PERANCANGAN DASHBOARD BUSINESS INTELLIGENCE MENGGUNAKAN GOOGLE LOOKER PADA BISNIS APOTIK DENGAN METODE WATERFALL Ruseno, Ndaru; Santoso, Imam; NurSiaga, Rahmat
Jurnal informasi dan komputer Vol 12 No 02 (2024): Jurnal Informasi dan Komputer yang terbit pada tahun 2024 pada bulan 10 (Oktobe
Publisher : LPPM Institut Teknologi Bisnis Dan Bahasa Dian Cipta Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v12i02.609

Abstract

Pada era digital, pengambilan keputusan berbasis data menjadi sangat penting bagi bisnis, termasuk di sektor apotek. Perancangan dashboard Business Intelligence (BI) menggunakan Google Looker dapat membantu dalam mengelola dan menganalisis data secara efektif. Penelitian ini bertujuan untuk merancang dashboard BI pada bisnis apotek dengan menggunakan metode Waterfall, yang melibatkan tahapan analisis kebutuhan, desain sistem, implementasi, pengujian, dan pemeliharaan. Hasil dari penelitian ini adalah sebuah dashboard BI yang mampu menyajikan informasi yang relevan dan real-time, sehingga dapat mendukung pengambilan keputusan yang lebih baik. Kesimpulan dari penelitian ini menunjukkan bahwa metode Waterfall efektif dalam merancang sistem BI yang terstruktur dan sesuai dengan kebutuhan bisnis apotek.
Meningkatkan Kesadaran Bahaya Kejahatan Siber Melalui Sosialisasi Cyber Security Di SMKN 26 Jakarta Nursiaga, Rahmat; Nana Mulyana; Imam Santoso; Toni Saidun Ali; Hadi Firmanyah; Alfonso Sabatani Quiko
Jurnal Pengabdian Kepada Masyarakat Vol 6 No 01 (2025): Jurnal Pengabdian Kepada Masyarakat (JPKM) Langit Biru
Publisher : Politeknik Penerbangan Indonesia Curug

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54147/jpkm.v6i01.1265

Abstract

The use of technology is very important in everyday life, people are required to be able to adapt to technology because currently humans and technology are interrelated. The use of technology can simplify and help human activities but can also have negative impacts, one of which is Cyber ​​Crime (cyber threats). Most students often use online media for learning activities such as coordinating learning with teachers such as WhatsApp messages or interacting with social media such as Facebook, Instagram, Twitter, TikTok or other online media. Students often store information, both personal data and photos, on their social media accounts. Interactions with social media are vulnerable to Cyber ​​Crime attacks and students are less aware of this and do not know how to manage their social media accounts to avoid Cyber ​​Crime. Therefore, the aim of this community service is to provide awareness to student partners at SMKN 26 Jakarta of the importance of Cyber ​​Security in using the internet to avoid the risk of Cyber ​​Crime and to teach best practices in protecting sensitive data and personal information from unauthorized access. The methods used are lectures, discussions and quizzes to motivate students to take part in PKM. The results of this activity are based on the post test: 88% of students understand the importance of cyber security.
RANCANG BANGUN SISTEM APLIKASI RESERVASI HOTEL BERBASIS WEB PADA HOTEL KAPITO RAJA Ruseno, Ndaru; Irfansyah, Dicki; Nursiaga, Rahmat; Santoso, Imam
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 1 (2024): Journal MATECH (May 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i1.254

Abstract

As a form of computer use and systems, the system has become the most important task in order to improve company performance. So every system process that runs well can be replaced with a better system, because it provides more conceptual and sophisticated information and can support the decision making process. With the provisions of the information system at the company, it can prevent data loss and facilitate employees in carrying out the company's business processes. Currently KAPITO HOTEL does not have an information system that can support business needs. Through relevant methods and information, the results of this study are the need for hotel reservation applications that can support the needs and employees. Web-based applications are expected to improve performance at the Kapito Hotel.
Model Konseptual Arsitektur Pertahanan Diri Adaptif Berbasis RASP dan MAPE-K untuk Aplikasi Web Mulyana, Nana; Miswanto, Miswanto; Nursiaga, Rahmat; Saidun Ali, Toni; Santoso, Imam
Jurnal Pendidikan Sains dan Komputer Vol. 5 No. 02 (2025): Artikel Riset Oktober 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v5i02.7096

Abstract

Keamanan aplikasi web modern menghadapi tantangan yang semakin kompleks karena munculnya serangan dinamis saat runtime. Mekanisme pertahanan tradisional seperti Web Application Firewall (WAF) dan Intrusion Detection System (IDS) terbatas karena hanya beroperasi secara statis di luar konteks aplikasi. Penelitian ini mengusulkan Model Konseptual Arsitektur Pertahanan Diri Runtime Adaptif yang mengintegrasikan Runtime Application Self-Protection (RASP), Behaviour Analysis, dan kerangka Monitor–Analyze–Plan–Execute over Knowledge (MAPE-K). Model ini dirancang untuk menciptakan sistem keamanan yang mampu memantau, menilai, dan menyesuaikan kebijakan pertahanan secara mandiri berdasarkan perilaku aktual aplikasi. Dengan pendekatan konseptual dan analisis teori sintetis, penelitian ini menghasilkan rancangan arsitektur pertahanan diri berbasis umpan balik adaptif (adaptive feedback loop). Arsitektur ini memungkinkan pengubahan data perilaku menjadi keputusan kontekstual, kemudian dievaluasi melalui Knowledge Base untuk pembelajaran berkelanjutan. Hasil analisis menunjukkan bahwa model ini memperluas konsep perlindungan aplikasi menuju kerangka keamanan otonom, di mana aspek keamanan menjadi tidak lagi reaktif, tetapi reflektif dan evolusioner. Secara praktis, model ini memberi dasar bagi pengembang aplikasi untuk membangun agen keamanan internal yang adaptif, serta bagi institusi keamanan siber dalam merancang platform otonom yang mampu belajar dari pola serangan aktual. Penelitian selanjutnya akan fokus pada pengujian empiris efektivitas model, pengembangan mekanisme meta-adaptif, dan aplikasi dalam lingkungan cloud multi-tenant untuk menilai skala dan stabilitas sistem pertahanan diri adaptif.
PREDICTION OF CUMULATIVE ACHIEVEMENT INDEX (IPK) USING THE LINEAR REGRESSION METHOD Santoso, Imam; Nursiaga, Rahmat
Journal of Information System, Applied, Management, Accounting and Research Vol 10 No 1 (2026): JISAMAR (February 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v10i1.2304

Abstract

Higher education as a business institution engaged in educational services cannot be separated from the reach of globalization. Changes in educational trends and the free movement of science and technology which are important aspects of globalization will affect the field of education. The final measurement of lectures is the achievement of the GPA as an achievement of the lecture process. To find out the predicted GPA value before the final semester, it can be done using the Multiple Linear Regression (MLR) algorithm using the Interim Grade Point Average (IPS) independent variable for semesters 1 and 5. With the prediction obtained at the end of semester 5, it is hoped that it can motivate students to improve their grades in the following semester. With a dataset from graduates of the Muhammadiyah University of Technology Jakarta (UTM Jakarta), a prediction model was built with the Python programming language, resulting in a moderate MLR model with an MSE evaluation value of 0.016 and R2 of 0.59 with the interpretation of a Good Model and will be better if other independent variables are added.
Model Jaringan Neural Untuk Deteksi Anomali Pada Sistem Keamanan (SIBER): Rancangan, Implementasi, dan Analisis Nursiaga, Rahmat; Mulyana, Nana; Sanjaya, Handika
Jurnal Rekayasa Komputer Vol 1 No 1 (2025): JUNI 2025
Publisher : Universitas Teknologi Muhammadiyah Jakarta (UTM Jakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37932/jarekom.v1i1.905

Abstract

The increase in complex and dynamic cyber attacks drives the need for artificial intelligence-based anomaly detection systems. This article develops a neural network model to detect anomalies in cyber security systems utilizing a Research and Development approach. The model is developed using deep learning approaches (Autoencoder and LSTM) and evaluated against real-world network traffic data. The results demonstrate high effectiveness in detecting intrusions in real-time. This model introduces a technology-based innovation with a positive impact on the national digital security landscape.  
Desain Sistem Jaringan Untuk Smart Factory Berbasis Industrial Internet of Things (Iiot) Santoso, Imam; Nursiaga, Rahmat; Firmansyah, Hadi
Jurnal Rekayasa Komputer Vol 1 No 1 (2025): JUNI 2025
Publisher : Universitas Teknologi Muhammadiyah Jakarta (UTM Jakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37932/jarekom.v1i1.907

Abstract

The Industrial Revolution 4.0 drives the transformation of production systems toward the smart factory concept. Industrial Internet of Things (IIoT) implementation serves as the primary key to creating adaptive, efficient, and intelligent production systems. This study aims to design an optimal network system model to support the performance of IIoT-based smart factories. Utilizing a Research and Development approach, this research develops a network system prototype and model focusing on data transmission effectiveness, security, and scalability. Evaluation results demonstrate that the designed network model enhances IIoT device communication efficiency and delivers a positive impact on industrial productivity.  
Model Transformasi Keamanan Digital dalam Jaringan Peer-to-Peer (P2P) untuk Efisiensi Tinggi Smart Campus Santoso, Imam; Nursiaga, Rahmat; Quiko, Alfonso Sabatani
Jurnal Rekayasa Komputer Vol 1 No 1 (2025): JUNI 2025
Publisher : Universitas Teknologi Muhammadiyah Jakarta (UTM Jakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37932/jarekom.v1i1.909

Abstract

Digital transformation within campus environments via Peer-to-Peer (P2P) networks and the Internet of Everything (IoE) integration offers high efficiency and intelligent connectivity, yet introduces significant network security risks. This study analyzes these risks and designs contemporary technology-based security strategies to support Smart Campus systems. Utilizing a Research and Development approach, a hybrid security model based on adaptive encryption and AI-driven monitoring was developed. Experimental results demonstrate a 72% increase in threat detection capabilities and an average attack mitigation response time of 3.4 seconds. This article proposes a digital security transformation model built upon a P2P architecture to enhance network efficiency and resilience. Furthermore, this study examines security strategies, technological innovations, and their implementation impacts on smart campus operational efficiency. Through case studies and network simulations, this article offers a novel contribution to adaptive digital security design.