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All Journal JuSTISe: Journal Data Science, Technology, Informatics and Security
Oscar Hadikaryana
Universitas Kebangsaan Republik Indonesia

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Pembangunan Aplikasi Inventory Barang Berdasarkan Warehouse Management System (WMS) Di Sixpax Cloth Evan Bastian; Oscar Hadikaryana
Journal Data Science, Technology, Informatics and Security Vol 2 No 1 (2024): Journal Data Science, Technology, Informatics and Security (Juni 2024)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v2i1.3267

Abstract

Sixpax Cloth is located on the Trunojoyo Number. 30 Bandung, is a Distro that sells various types of products such as Tshirt, Gamis, Jackets, Jeans, Casuals, Shoes, Wallets and accessories. The business listing contained in the Sixpax cloth bandung warehouse is using a conventional system. The Inventory Management Application at Sixpax Mode Distro Bandung, is expected to facilitate data management and can present actual, efficient and efficient data.
Pengembangan Sistem Administrasi Kepegawaian PT. Lintas Mediatama Bandung Yayan Jaelani; Oscar Hadikaryana
Journal Data Science, Technology, Informatics and Security Vol 1 No 1 (2023): Journal Data Science, Technology, Informatics and Security (Juni 2023)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v1i1.3269

Abstract

PT. Lintas Mediatama ialah perusashaan yang mempunyai agen di sebagian kota serta mempunyai karyawan yang lumayan banyak, dengan terus menjadi bertumbuhnya sesuatu perusahan sehingga sistem yang berjalan di sesuatu industri telah sepatutnya menempuh pengembangan, salah satunya aplikasi sistem administrasi kepegawaian yang terletak di PT. Lintas Mediatama yang telah kurang mencukupi sebab terus menjadi maju serta besar perusahan itu. Dari riset ini sehingga hendak dibesarkan Sistem Administrasi Kepegawaian yang terdapat di industri itu, aplikasi yang dibesarkan dengan tujuan membagikan kebahagiaan serta keringanan konsumen buat pengerjaan data. Tata cara yang dipakai dalam pengembangan sistem administrasi kepegawaian ialah memakai tata cara prototype dan memakai bahasa pemrograman PHP serta MySql selaku database pengedit nya. Tata cara prototype amat sesuai dipakai dalam pengembangan sistem sebab memajukan komunikasi antara user serta serta analis alhasil user berfungsi aktip dalam pengembangan sistem, alhasil aplikasi hendak jadi lebih gampang sebab user mengenali apa yang diharapkan
A Scrum and Blackbox Testing Approach for Smart Air Quality Control Software Development Alhafis Dicka Dwikumara; Oscar Hadikaryana
Journal Data Science, Technology, Informatics and Security Vol 1 No 1 (2023): Journal Data Science, Technology, Informatics and Security (Juni 2023)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v1i1.3275

Abstract

This research reveals the serious challenges faced by Indonesian cities, including Jakarta, Surabaya, and Bandung, regarding indoor air quality. Urbanization and modern lifestyles have exacerbated indoor air pollution, particularly PM and CO2 particles. WHO data confirms the exceeding concentrations of PM and CO2 particles in several urban areas, including office spaces and classrooms. This study explores an Internet of Things (IoT)-based solution utilizing sophisticated sensors to monitor and control indoor air quality. Through this innovative approach, the research tests the hypothesis of the solution's effectiveness by applying blackbox testing and the Scrum method in software development. The research findings demonstrate that the solution effectively controls air quality and provides relevant data for occupants. Its ability to address air quality issues, especially in controlling PM and CO2 particles, shows a positive impact on the urban environment in Indonesia. Air Quality, IoT, advanced sensors, Urban Environment, Blackbox Testing, and Scrum Method form the foundation of this innovative approach, blending technology and software development. Thus, this research not only tackles indoor air quality challenges but also represents a progressive step towards safeguarding the health and comfort of urban residents.
Implementasi CNN Dan Haversine Formula Pada Pengembangan Sistem Absensi Karyawan Berbasis IOS Rama Dwiyantara Perkasa; Oscar Hadikaryana
Journal Data Science, Technology, Informatics and Security Vol 1 No 2 (2023): Journal Data Science, Technology, Informatics and Security (Desember 2023)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v1i2.3375

Abstract

This research aims to develop an iOS employee attendance system using Convolutional Neural Network (CNN) and the Haversine Formula. The study is conducted because traditional attendance systems often lack accuracy and efficiency. The research proposes the integration of CNN technology for employee face recognition and the Haversine Formula for calculating the radius of the location between the employee's position and the workplace. CNN is used to process employee face images through the iOS device's camera, thereby enhancing identification accuracy. The Haversine Formula calculates the distance from the current location to the workplace. The research results in an iOS mobile application for more efficient attendance management.
Sistem Alat Bantu Jalan bagi Penyandang Tuna Netra dengan Menggunakan Algoritma Fuzzy Hera Tartila; Oscar Hadikaryana
Journal Data Science, Technology, Informatics and Security Vol 2 No 1 (2024): Journal Data Science, Technology, Informatics and Security (Juni 2024)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v2i1.3434

Abstract

In this study, the authors developed an automatic walking assistance system for visually impaired individuals to support their mobility and daily activities. The system is designed to detect obstacles or objects located in front of, to the left of, and to the right of the user while walking. It utilizes an Arduino Nano as the main microcontroller and ultrasonic sensors to detect surrounding obstacles. When an obstacle is detected, the system automatically provides warning signals to the user. Feedback is delivered through an audible alert generated by a buzzer integrated into the walking cane, enabling visually impaired users to recognize the presence of obstacles and navigate more safely.
Prototipe Sistem Penampungan Air Otomatis Berbasis IoT dengan Logika Fuzzy untuk Pertanian Cerdas Adhin Luthfi Indrawan; Oscar Hadikaryana; Subhanjaya Angga Atmaja
Journal Data Science, Technology, Informatics and Security Vol 3 No 1 (2025): Journal Data Science, Technology, Informatics and Security (Juni 2025)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v3i1.4310

Abstract

The development of Internet of Things (IoT) technology has brought significant changes to modern agricultural systems, particularly in terms of water efficiency. This research developed a prototype of an IoT-based automatic water storage system capable of adjusting water distribution according to environmental conditions in real time. The system was built using a NodeMCU ESP8266 as a control center and several sensors, including a soil moisture sensor, a rain sensor, an ultrasonic sensor, a temperature and humidity sensor, and a water flow sensor. The integration of these various sensors allows the system to detect land conditions comprehensively. Mamdani fuzzy logic is used as a decision-making method by considering variables such as soil moisture, weather conditions, and temperature. A rule-based system approach is added to provide more flexible decision rules. The sensor readings are processed by a microcontroller and then sent to the Blynk application so farmers can monitor and control the system via smartphone. Test results show that the system can adapt to various conditions. In dry soil with high temperatures, the pump automatically activates until the moisture threshold is reached. Conversely, when rain is detected or the soil is wet, the system delays watering to avoid waste. Water discharge data is also recorded in real time so that water use can be better controlled. This research demonstrates that the integration of IoT and Mamdani fuzzy logic can improve water distribution efficiency, reduce waste, and support smart farming practices. The developed system has the potential to be widely applied to agricultural land to help farmers manage water resources efficiently and sustainably.
Aplikasi Mobile Multi-Algoritma AI untuk Bisnis Konveksi Julian Utami; Oscar Hadikaryana; Iim Abdurrohim
Journal Data Science, Technology, Informatics and Security Vol 2 No 2 (2024): Journal Data Science, Technology, Informatics and Security (Desember 2024)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v2i2.4311

Abstract

Small and medium-sized garment enterprises often struggle with manual production recording and payroll estimation, leading to inefficiency. This study develops a mobile application integrating multiple artificial intelligence algorithms to improve business prediction accuracy. The research employed a Research and Development (R&D) method with a Rapid Application Development (RAD) approach. Eight years of historical production and payroll data were analyzed using three algorithms: Linear Regression, Random Forest Regression, and KMeans Clustering. The results indicate that the application enhanced recording efficiency, Random Forest outperformed Linear Regression on fluctuating data, and K-Means effectively recommended the best-performing employees. In conclusion, the system contributes to digitalization and data-driven decisionmaking in the garment sector.
Sistem Jemuran Otomatis dengan IoT dan Gemini AI Nadila Amalia Wibowo; Oscar Hadikaryana
Journal Data Science, Technology, Informatics and Security Vol 3 No 2 (2025): Journal Data Science, Technology, Informatics and Security (Desember 2025)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v3i2.4313

Abstract

Unpredictable weather often disrupts household activities, particularly in drying clothes. Sudden rain may cause clothes to get wet again, requiring constant user supervision. This research aims to design and implement an automatic clothesline system based on the Internet of Things (IoT), integrating a rain sensor, webcam, and Gemini AI with the zero-shot image classification method. The system relies on two main inputs: a rain sensor to detect raindrops, and a webcam capturing sky images classified by Gemini AI into sunny, light cloudy, heavy cloudy, and rainy. These inputs are processed using a rule-based algorithm on the ESP32 microcontroller, which controls the servo motor to retract or extend the clothesline automatically. In addition to the automatic mode, the system is equipped with a manual control mode accessible through the Blynk mobile application, allowing users to monitor and control the system remotely. Testing results show that the rain sensor accurately detects water presence, while Gemini AI can classify weather conditions responsively. Integration testing confirms that the clothesline operates effectively in both automatic and manual modes, while providing real-time weather condition notifications.
Implementasi Kios Interaktif Berbasis AI dengan Gemini API dan RAG untuk Optimalisasi Sistem Informasi Kampus Firdaus Rhamadhan; Alkautsar Rahman; Oscar Hadikaryana
Journal Data Science, Technology, Informatics and Security Vol 3 No 2 (2025): Journal Data Science, Technology, Informatics and Security (Desember 2025)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v3i2.4331

Abstract

Efficient and accurate information access is a fundamental challenge in higher education environments. This research aims to develop an interactive kiosk application based on artificial intelligence (AI) as a solution to optimize the information system at Universitas Kebangsaan Republik Indonesia (UKRI). The system is designed by integrating the Gemini Multimodal API with the Retrieval-Augmented Generation (RAG) framework to provide intelligent and efficient information services. The methodology includes building a campus-specific knowledge base from internal documents, which are processed into vector embeddings and stored in a Qdrant vector database. The RAG framework ensures that every response generated by the AI model is grounded in factual data from this knowledge base, thereby significantly improving accuracy. The implementation results show that the kiosk prototype successfully provides a natural and responsive multimodal (voice and text) interaction. Functional testing proves that the RAG mechanism dramatically outperforms a generic AI model in delivering relevant and accurate answers regarding campus information. In conclusion, this interactive kiosk has great potential to transform conventional information dissemination methods, making them more accessible and user-centric.
Co-Authors Adhin Luthfi Indrawan Alhafis Dicka Dwikumara Alkautsar Rahman Evan Bastian Firdaus Rhamadhan Hera Tartila Iim Abdurrohim Julian Utami Nadila Amalia Wibowo Rama Dwiyantara Perkasa Subhanjaya Angga Atmaja Yayan Jaelani