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ANDROID-BASED SCRAP METAL COLLECTION SYSTEM WITH LIVE-LOCATION TRACKING: A PROTOTYPE APPROACH IN MANADO CITY Massie Hihola, Maharani Margareth; Pinontoan, Benny; Alfonsius, Eric
IJIS - Indonesian Journal On Information System Vol 11, No 1 (2026): APRIL
Publisher : POLITEKNIK SAINS DAN TEKNOLOGI WIRATAMA MALUKU UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36549/ijis.v11i1.470

Abstract

This research aims to design and develop an Android-based application integrated with real-time location tracking to support scrap metal pickup services. The system was developed using the Prototype method. The application was built with Flutter and Dart, using Firebase as the backend and the Google Maps API for GPS-based real-time location tracking and map visualization. The system offers features for both customers and collectors. Customers can request pickup services, enter information about the scrap they have, choose a collector, and track the collector's location. Collectors get the request, check the service details, and go to the customer's location. These features enable users to communicate and work together on a single digital platform. System testing was conducted using Black-Box Testing with the Equivalence Partitioning technique, with alpha testing involving 6 participants. From 126 test cases, 124 were successful, resulting in a Task Success Rate (TSR) of 98%. These results indicate that the system is functionally reliable in supporting the main processes of scrap metal pickup services. Furthermore, the developed application is expected to facilitate interaction between customers and collectors, provide visibility of collector locations through real-time tracking, and support the implementation of a digital-based scrap metal pickup service.Keywords: Android Application, Live Location Tracking, Scrap Metal Pickup, Prototype Method, Google Maps
A GALAXY SCHEMA APPROACH FOR INTEGRATING HETEROGENEOUS MACROECONOMIC DATA INTO AN ANALYTICAL DASHBOARD Simanjuntak, Aurora Grace Valensia Pohan; Pinontoan, Benny; Soewoeh, Christian A. J.
IJIS - Indonesian Journal On Information System Vol 11, No 1 (2026): APRIL
Publisher : POLITEKNIK SAINS DAN TEKNOLOGI WIRATAMA MALUKU UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36549/ijis.v11i1.471

Abstract

Local economic data in Jayawijaya Regency, such as Gross Regional Domestic Product (GRDP), poverty rates, Human Development Index (HDI), and unemployment statistics, is often scattered across different spreadsheets and standard documents. This scattering considerably hinders deep, multi-aspect assessment for regional leaders. This study aims to build and deploy a dynamic analytical dashboard that aggregates economic figures for the period 2020-2024. The design of this system employs a Data Warehouse with a multidimensional Galaxy Schema to merge indicators with distinct measurement types into a single central place. The Extract, Transform, Load (ETL) process was automated using Pentaho Data Integration, achieving 100% data matching accuracy with no data loss. Using Tableau Public as the visual display section, the dashboard functions through three subject-based views: Executive Summary, Economic Growth, and Social Welfare.Keywords: Analytical Dashboard, Data Warehouse, Galaxy Schema, Macroeconomic, Visualization