Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Abdi Jurnal Publikasi OKTAL : Jurnal Ilmu Komputer dan Sains
Andi
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Implementasi Metode Extreme Programming Terhadap Line-Up Produk Handphone pada PT. Smartfren Telecom Sahlan; Maulana Muhamad Sulaiman; Andi
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 07 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Warehousing is a component of a company's logistics system responsible for storing products and providing management with information regarding the status, condition, and movement of stored goods. Currently, PT Smartfren Telecom's warehousing system faces several challenges, notably discrepancies between physical stock levels and warehouse records. Consequently, there is a need for an application that enables data integration, stores both historical and current data, and improves the efficiency of warehousing administration and documentation processes. This final project involves a system analysis to identify requirements, followed by the design of a warehouse information system application. The system design employs an object-oriented approach, utilizing the Unified Modeling Language (UML) and the Extreme Programming methodology. The database design utilizes a Relational Database Management System (RDBMS) approach—requiring a transition from the object-oriented model to a relational one—followed by the design of the user interface. The resulting warehouse information system design generates inputs and outputs that enhance warehouse operations. Application validation results indicate that the tested functions are valid and operate correctly.
WEATHER DATA GOES DIGITAL: EDUKASI IoT DAN MONITORING CUACA REAL-TIME MELALUI AUTOMATIC WEATHER STATION Diana Hertanti; Zulmansyah; Andi; Asep Irwan Maulana; Dimas Chandra Adinata; Tonny Satria Kesuma Wijay; Nurrahmat Jatmiko
Abdi Jurnal Publikasi Vol. 5 No. 1 (2026): September
Publisher : Abdi Jurnal Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid development of Internet of Things (IoT) technology creates opportunities to present environmental information in a measurable and near-real-time form. This community service activity aimed to strengthen the understanding of students at MAN 18 Jakarta Timur regarding weather parameters, Automatic Weather Station (AWS), IoT, and real-time weather monitoring. The activity was conducted on 5 October 2026 from 09.00 to 12.00 WIB and involved students from grades X and XI. The implementation used an educational and participatory approach through interactive presentation, AWS demonstration, real-time monitoring demonstration, question-and-answer sessions, discussion, and direct interaction with participants. The material covered basic weather concepts, rainfall, AWS sensors, the flow of sensor data acquisition and communication, dashboard-based monitoring, and the use of official weather information. The implementation results, based on field observation and participant interaction, showed active participation during the presentation and discussion sessions. Students raised questions about IoT operation, weather observation instruments, data transmission, and the use of monitoring data. The activity also provided a contextual learning experience by connecting information technology with weather observation. The activity indicates that contextual demonstrations of AWS and real-time weather data can serve as an accessible medium for introducing IoT and environmental data literacy to secondary school students. Further activities can strengthen the program through quantitative pre-test and post-test analysis and project-based IoT learning.
Co-Authors Asep Irwan Maulana Diana Hertanti Dimas Chandra Adinata Maulana Muhamad Sulaiman Nurrahmat Jatmiko Sahlan Tonny Satria Kesuma Wijay Zulmansyah