Article Per Year (5 Year)
p-Index From 2021 - 2026
2.036
P-Index
This Author published in this journals
All Journal Jurnal Riset Informatika Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Responsif : Riset Sains dan Informatika DEDIKASI : Jurnal Pengabdian Kepada Masyarakat Information Technology and Systems
Anggi Oktaviani
Universitas Nusa Mandiri
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
The Best Employee Decision Support System Using the Analytical Hierarchy Process Method at PT ASDP Indonesia Ferry (Persero) Deny Novianti; Anggi Oktaviani; Dahlia Sarkawi; Aldyanto Aldyanto; Ahmad Faren Syahidan
Jurnal Riset Informatika Vol. 5 No. 3 (2023): June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.221

Abstract

Selecting the best employees aims to spur employee morale by improving performance and dedication. The selection of the best employees is selected based on company criteria. PT ASDP Indonesia Ferry (PERSERO) The best employee criteria applied by the company are Work Quantity, Work Quality, Attendance, Teamwork, and Initiative. Employee assessment is carried out every month by the assessment team (Vice President (VP) and Manager). The problem faced is determining the best employees with criteria and alternatives that are calculated manually. This system is a Decision Support System (DSS) built using the Analytical Hierarchy Process (AHP) method. Previously, the evaluation process for selecting the best employees had never been done. Some of the problems encountered were the absence of an employee performance appraisal process, there was no appropriate selection method, and a Decision Support System (DSS) was not available that could make it easier to assess the selection of the best employees.
Measuring the Level of Readiness in SDI Al-Hasaniah Students for Computer-Based Exams Using Technology Readiness Index Method Anggi Oktaviani; Deny Novianti; Dahlia Sarkawi; Muhamad Zul Fahmi
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i4.127

Abstract

The context of this research is that erratic rainfall can disrupt community activities, especially for traders who want to make sales. In addition, information about rainfall is also needed by farmers in determining planting patterns to get maximum yields. The purpose of this research is to be able to help farmers predict rainfall to get maximum crop yields. One method to be able to predict rainfall is Fuzzy Logic. This research will use the Tsukamoto Fuzzy method. In the research conducted this time, the author conducted monthly rainfall forecasting in Sleman Regency. Rainfall data in Sleman Regency from 2015 to 2022 will be used in this research. This research succeeded in getting a MAPE value of 49.31%. The result of this research is the highest monthly rainfall prediction in November, with a rainfall of 713.78 mm. At the same time, the lowest occurred in August, which amounted to 36.47 mm. This research only gets a MAPE value of 49.31%. So, it can be concluded that the Tsukamoto fuzzy method cannot predict rainfall well.
Application of Science and Technology of Goods Inventory Information System in the Ellisya Online Store Syahril; Kalvin Paulinus Simbolon; Anggi Oktaviani
Information Technology and Systems Vol. 1 No. 1 (2023): November 2023
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/its.v1i1.143

Abstract

This research aims to identify business needs related to inventory management of goods at Ellisya stores. Developing a goods inventory information system starting from designing, developing and implementing an information system using information technology principles in managing goods inventory. Increase the accuracy of inventory predictions by assessing information systems' ability to predict inventory needs accurately. Assessing data security and protection by ensuring that the information system complies with data security standards. It provides adequate protection against potential threats to the security of inventory data. Provide recommendations for developing a website-based goods inventory information system. The research method used in this research is the Waterfall development method. This method was chosen because of its clarity and structured stages, which greatly support technology integration to increase inventory management efficiency and accuracy. The research results show that applying technological knowledge in the Goods Inventory Information System using the Waterfall method positively impacts operational efficiency, more accurate inventory predictions, data security, user satisfaction, and financial well-being. Therefore, applying science and technology is an important step to improve the performance and competitiveness of organizations in managing inventory. The research results provide practical implications for improving operational efficiency in inventory management. S&T integration enables real-time monitoring, automation of administrative tasks, and more efficient stock management. The application of science and technology results in stronger data protection, having a positive impact on company reputation and customer trust. The novelty of this research lies in an integrative approach between the application of science and technology and the Waterfall development method. It provides a new perspective on how technology can be applied in the context of structured system development, namely by developing a website-based inventory information system for goods at Ellisya stores
Co-Authors Achmad Chaerul Amri Agus Priadi Ahmad Faren Syahidan Aldyanto Aldyanto Azpha Thoriq Mulyadi Dahlia Sarkawi Deny Novianti Deny Novianti Dwi Bagus Surbakti Eka Kurniatun Hazanah Fitri Laifah Fitri Latifah Fuza Azizah Herman Kuswanto Herman Kuswanto Hikmatulloh Kalvin Paulinus Simbolon Latifah Novyanti Muhamad Zul Fahmi Resha Wisnu Murti Ridan Nurfalah Steven Steven Surya Kelana Saputra Syahril