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INDONESIA
RISTEC : Research in Information Systems and Technology
Published by Institut Pendidikan Indonesia Garut
ISSN : -     EISSN : 27984362     DOI : https://doi.org/10.31980/ristec.v3i2
Core Subject : Science,
Computer Science & IT
Research in Information Systems and Technology aims to provide scientific literatures specifically on studies of applied research in Information Systems, Information Technology nd public review of the development of theory, method and applied sciences related to the subject. The journal not only facilitates local researchers but also international researchers to publish their works exclusively in English.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 133 Documents
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Web-Based STT Wastukancana Library QR Code Presence Information System Prasetio, Bayu; Jaelani, Irsan; Iskandar, Dadi; Saepul Malik, Akbar
RISTEC : Research in Information Systems and Technology Vol. 5 No. 2 (2024): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

In an era of increasingly complex technological advancements, digital transformation has penetrated all aspects of human life, including education. The use of QR code technology to record library attendance data on student ID cards is one of the most interesting innovations. Student ID cards, which used to be just tangible documents with names and pictures on them, have now developed into tools that utilize administrative convenience and the right technology. The use of QR code technology to record library attendance data is to make it easier for library staff to record STT Wastukancana library visitor data from manual to digital data. Extreme Programming is a software development method that aims to improve software quality and meet short development cycles, so that it is very responsive to changing user desires
IOT-BASED WASTE BANK APPLICATION FOR MONITORING AND MANAGING PLASTIC BOTTLES (CASE STUDY: RANCASARI WASTE BANK) Versanika, Dayanni Vera; Aida, Riska Zafira Nurul; Aelani, Khoirida
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Plastic pollution, particularly from plastic bottles, represents a significant global environmental challenge. An Internet of Things (IoT)-based waste bank application has been developed as an innovative solution to enhance the efficiency of plastic bottle waste management through real-time data monitoring. This system is designed using Wemos D1 Mini microcontroller integrated with Ultrasonic Sensors, TCRT5000 (IR) Sensors, LCD 12c, Buzzer, and the Firebase platform. Initial testing indicates that the system is capable of accurately detecting plastic bottles, with the Ultrasonic Sensor effectively identifying objects at distances less than 30 cm, while the TCRT5000 (IR) Sensor consistently counts the number of bottles passing through its detection path. Detected data is transmitted in real-time to the Firebase platform for storage and can be monitored via a mobile application. The system also successfully updates the balance on the LCD 12c display and provides notification alerts via the Buzzer each time a bottle is detected. Functional testing demonstrated a 100% success rate in bottle detection, data transmission to Firebase, and user balance updates. This system significantly improves the operational efficiency of the Rancasari Waste Bank by providing accurate and real-time data, thereby encouraging greater community participation in plastic recycling efforts. In conclusion, this application has the potential to substantially reduce plastic waste accumulation and contribute to more sustainable environmental management.
ESP32 MICROCONTROLLER IMPLEMENTATION FOR MONITORING WATER QUALITY AND LEVEL IN A HYDROPONIC SYSTEM: A CASE STUDY AT AZIZ HYDROPONIC GARDEN, CIAMIS Zaman, Fanji Fakhru; Agnia, Gina Fauziah
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Hydroponic farming is a method of cultivation that uses water enriched with nutrients essential for plant growth. This method produces high-quality crops as it eliminates the need for chemical fertilizers, pesticides, and other plant treatment substances. Moreover, the risk of pest and disease attacks is significantly reduced since soil is not used. Hydroponic systems have become a practical alternative for urban farming in areas with limited land. At the research site, the current issue is that plant monitoring is still conducted manually. Garden managers must regularly check each plant block, which results in inefficient time usage. Therefore, to address this issue, a prototype of a monitoring system for water quality and water level in hydroponic plants is needed. This system utilizes Internet of Things (IoT) technology integrated with the ThingSpeak server to enable efficient plant monitoring. A pH sensor module is used to measure the nutrient content of the water, and a water level sensor is used to detect the water height in the reservoir. The control commands are then processed by an ESP32 microcontroller on an Arduino board. The sensor data is automatically recorded on the ThingSpeak server every 15 seconds in the form of graphs and numerical sensor values, allowing garden managers to monitor the system using a computer device.
BATIK MOTIF CLASSIFICATION USING CNN WITH RESNET-50 ARCHITECTURE Wibisono, Muhammad Ridwan; Nugroho, Imam Ma’ruf; Defriani, Meriska
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Batik merupakan kerajinan tradisional Indonesia yang memiliki nilai seni tinggi dan telah diakui sebagai warisan budaya dunia oleh UNESCO pada 2 Oktober 2009. Namun, pengetahuan tentang identifikasi motif batik umumnya hanya dimiliki oleh mereka yang memiliki keahlian khusus, seperti pengrajin batik. Penelitian ini bertujuan untuk mengembangkan aplikasi berbasis Streamlit yang mampu mengklasifikasikan motif batik menggunakan metode Convolutional Neural Network (CNN) dengan arsitektur ResNet-50 untuk dapat menjadi solusi dalam mengenalkan batik secara lebih luas kepada masyarakat, baik sebagai media edukasi maupun sebagai alat bantu bagi industri kreatif. Penelitian ini menggunakan metodologi CRISP-DM (Cross-Industry Standard Process for Data Mining) yang mencakup tahapan Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, dan Deployment. Model dilatih selama 21 epoch, dengan hasil akurasi pelatihan sebesar 99,31%, akurasi validasi 94,37%, loss pelatihan 2,4%, dan loss validasi 22,25%. Dalam evaluasi menggunakan 140 sampel citra batik, model mencapai akurasi 89,285%. Hasil ini menunjukkan bahwa aplikasi yang dikembangkan berhasil dalam mengklasifikasikan motif batik menggunakan CNN.
Design and Implementation of the Doctor Shoes Mobile Application Using the Waterfall Model irpan, muhammad; Meriska Defriani; M. Agus Sunandar
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Abstrak: Kemajuan dalam teknologi mobile telah berkontribusi besar terhadap perkembangan layanan jasa, terutama dalam mendukung sektor perusahaan mikro, kecil, dan menengah (UMKM). layanan yang mungkin untuk dioptimalkan melalui teknologi mobile adalah jasa pencucian sepatu. Penelitian ini bertujuan untuk merancang serta mengembangkan aplikasi Doctor Shoes, sebuah aplikasi berbasis Android yang menyediakan layanan cuci sepatu secara digital. Aplikasi ini dirancang untuk mempermudah pelanggan dalam melakukan pemesanan, memantau status layanan secara real-time, serta berkomunikasi langsung dengan petugas pengantar (driver). Proses pengembangan aplikasi menggunakan bahasa pemrograman Kotlin dan mengandalkan Firebase sebagai backend untuk penyimpanan data dan sinkronisasi secara real-time. Model Waterfall digunakan sebagai metode pengembangan., yang meliputi tahap komunikasi, perencanaan, pemodelan, konstruksi, dan penerapan sistem. Hasil akhir dari penelitian ini berupa aplikasi Doctor Shoes yang dapat membantu memfasilitasi layanan cuci sepatu dengan cara yang efisien, modern, dan praktis bagi para pengguna.
DESIGN AND DEVELOPMENT OF THE MOSQPRAY APPLICATION USING EXTREME PROGRAMMING METHOD Prayoga, Satrio Mukti; Defriani, Meriska; Sunandar, Muhamad Agus
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
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Abstract

This study aims to design and develop an Android application called MosqPray to help Muslims access prayer schedules automatically based on location and search for nearby mosques using the Google Maps API. The app includes prayer time reminders and favorite mosque saving features. The development method used is Extreme Programming (XP), which emphasizes short iterations and active user involvement. Observations of three similar apps revealed limited native mosque search features and issues with interface and ads. Testing shows MosqPray runs stably on Android 8.0 and above and provides accurate information. The app is expected to support timely prayer, especially in unfamiliar locations.
Development of A Web-Based Dominance, Influence, Steadiness, Compliance, (DISC) Test Platform With A Career Recommendation System For Optimizing Career Decision Making in Generation Z Novitasari, Chandani; Sulistyo Sarjowo, Mochammad Imam; -, Minarto
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
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Abstract

Generation Z is a cohort that has grown up in the digital era, characterized by their adaptability to technology and preference for flexible careers aligned with their personality. However, many individuals from this generation often experience confusion in determining their career paths due to a lack of self-awareness and job compatibility. This study aims to develop a web-based DISC personality test platform equipped with a career recommendation system to assist Generation Z in making accurate career decisions. The research method used is Research and Development (R&D) with a software development approach using the waterfall model. The system enables users to take the DISC test, receive personality result, and obtain career recommendation based on the trait and factor psychological approach. Testing result indicate that the system function well, is user-friendly, and provides accurate and relevant outcomes tailored to user needs. This platform is expected to serve as an effective tool in supporting career decision-making for generation Z.
IMPLEMENTATION ANDROID ARCHITECTURE COMPONENT FOR DEVELOPING THE SIMLING APPLICATION (ENVIRONMENT MANAGEMENT SYSTEM) Arafat, Doni; Defriani, Meriska; Kaniawulan, Ismi
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
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Abstract

Environmental management in Cluster Cahaya Mekar Wangi is still manual, utilizing WhatsApp and Excel for dues recording, financial reports, and security tracking, which often results in data errors and low transparency. This study developed SIMLING, an Android-based application, to digitalize and integrate these processes into a unified system. Built using the Waterfall model with Kotlin (frontend), Golang (backend), and MySQL in Docker (database), SIMLING offers real-time payment recording with receipt uploads, automated validations, transparent reports, QR-based security monitoring, and centralized notifications. The implementation shows SIMLING streamlines administrative tasks, improves transaction validation, and enhances security monitoring, while providing residents with easier payments and clear financial information. This supports smarter, more structured, and sustainable community management.
IMPLEMENTATION OF HAVERSINE FORMULA IN AN ANDROID-BASED GEOGRAPHIC INFORMATION SYSTEM BPJS HEALTH FACILITIES IN PURWAKARTA Irgiyansyah; Nugroho, Imam Ma’ruf; Defriani, Meriska
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
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This study designs and develops an Application Android-based Geographic Information System (GIS) to assist residents of Purwakarta Regency in locating the nearest BPJS-affiliated healthcare facilities, addressing the limitations of distance information and mapping on the Health Office’s website. To compute distances, the application utilizes the Haversine Formula based on the user’s coordinates. It is developed using Flutter for the Android application and Laravel for the web-based admin system, following the Extreme Programming (XP) methodology. Blackbox Testing is used to ensure system functionality. As a result, the application can display a list and geographic locations of healthcare facilities along with the distance from the user. The application is expected to provide easier access to healthcare information and enhance the quality of health services in Purwakarta Regency.
SECURITY AUDIT FOR DETECTION AND MITIGATION OF AMP INJECTION FROM ONLINE GAMBLING SITES ON THE WORDPRESS PLATFORM WITH A CODE ANALYSIS AND WORDFENCE SCANNING APPROACH Fathur Fawaz, Muhamad; Nugraha, Yopi
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
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This study discusses issues with AMP injection that are not present on WordPress-based websites, which affect serious issues like navigating to a website in another language and exploiting user data. In this study, we examine the main causes of AMP infiltration, such as improperly modified WordPress core files, and offer suggestions for improvement and correction. The research methods that are used include analyzing the WordPress code sumber, keeping track of files using keamanan tools, and implementing mitigation solutions to ensure the integrity of the core files. The results of the study highlight the importance of careful attention to WordPress files and the use of strong security tools in order to prevent more extensive exploitation. This research provides useful information for WordPress site owners to monitor security and identify non-detectable security risks.

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