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Evaluating IT Capabilities in The Success of Pipe Manufacturing Company Holman, Jason Nathanael; Desanti, Ririn Ikana
ULTIMA InfoSys Vol 15 No 1 (2024): Ultima Infosys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i1.3475

Abstract

Information technology (IT) management is a process that a corporation or organization must carry out, particularly in terms of data management. The research employs a case study of a pipe manufacturer that has implemented a human resources system to manage employee information. To avoid problems in the data management process that can impede company performance, the company must have good information technology governance capabilities in the data management process. This research will focus on measuring and evaluating the capability of information technology governance at the company, as well as making recommendations to improve the company's existing IT governance. The COBIT 2019 framework will be used to assess the company's IT governance capabilities using qualitative data collected from collaborative interviews with the company and supported by previous research literature. The measurement focus will be on IT infrastructure for data management and operations management to support the data management process. APO01 - Managed I&T Management Framework, APO14 - Managed Data, and DSS01 - Managed Operations are the COBIT 2019 processes to be monitored. The study's findings include the realization of IT governance capabilities in the APO01 domain and a lack of IT governance capabilities in the other two domains, namely APO14 and DSS01. The capability level is stopped at level 2 for the APO14 and DSS01 domains, which is one level below the declared aim of level 3. The recommendations will center on enhancing the IT governance skills of the two domains that fail to meet the company's capability targets.
PENGEMBANGAN E-LEARNING SYSTEM SD STRADA KARAWACI Desanti, Ririn Ikana; Suryasari; Wella; Johan, Monika Evelin; Faza, Ahmad
PROFICIO Vol. 5 No. 1 (2024): PROFICIO: Jurnal Abdimas FKIP UTP
Publisher : FKIP UNIVERSITAS TUNAS PEMBANGUNAN SURAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/jpf.v5i1.3037

Abstract

Learning Management System (LMS) has become one of the media used to support online teaching learning activities. LMS has a wide range of functions such as administration, documentation, and reporting. The condition of the Covid-19 pandemic in 2020 has caused SD Strada Karawaci to find a way to keep providing school supplies to the students. The Information Systems Study Program – Universitas Multimedia Nusantara (IS-UMN) has a strong commitment to make a positive contribution to the community, one of which is through community service activities (PKM). IS- UMN organizes PKM activities with one of its goals to improve literacy of information technology of the community. In general, the activities of PKM IS-UMN are divided into two stages: system development and training. Therefore, in the first phase of the activities of PKM IS-UMN will design an e-learning system for elementary school of Strada Karawaci. The PKM team conducted in-depth research to understand the user needs (requirements) and conducted interviews with teachers and students. In addition, the development phase of the e-learning system is also carried out with consideration of the curriculum and school learning methods.
A Comparative Study of Machine Learning Approaches to Megathrust Earthquake Prediction in Subduction Zones Wella, Wella; Desanti, Ririn Ikana; Suryasari, Suryasari
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.904

Abstract

Megathrust earthquakes are one of the most severe threats to countries situated along tectonic subduction zones, particularly Indonesia, where the movement of converging plates frequently triggers large-scale seismic events and tsunamis. Although recent developments in seismology have introduced various predictive tools, many of these models still face challenges, especially due to limitations in hydrogeological data quality. This study aims to investigate how three different machine learning algorithms perform in predicting megathrust earthquake events. The algorithms tested are Support Vector Machine, Random Forest, and Artificial Neural Network, applied to a dataset dominated by earthquake records from the Indonesian and Pacific regions. Each model was evaluated based on accuracy, precision, recall, and F1 score to provide a comprehensive performance analysis. The results show that Random Forest produced the highest accuracy, reaching 96%, followed closely by Support Vector Machine with 95%, while Artificial Neural Network achieved 83%. In terms of the F1 score, Random Forest led with a score of 0.95, indicating balanced performance in classification. However, recall, which is critical in disaster preparedness because it measures the model’s ability to detect high-risk events, Artificial Neural Network reached 92% for tsunami-related classifications. This suggests that while Random Forest is the most accurate overall, Artificial Neural Network could be more appropriate for early warning systems where the cost of missing a true event is much higher than issuing a false alarm. The contribution of this research is the direct comparison of multiple machine learning methods using real earthquake data, focusing not only on accuracy but also on practical disaster management considerations such as recall. This study also presents a novel perspective by analyzing the trade-off between model accuracy and disaster risk, emphasizing the need for probabilistic forecasts that can support timely public decision-making during seismic crises.
Implementation of Decision Support System Method to Evaluate Posyandu Program In Tangerang Selatan Desanti, Ririn Ikana; Maximus, Jason; Sitorus, Budi Berlinton
IJNMT (International Journal of New Media Technology) Vol 10 No 2 (2023): IJNMT
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v10i2.3451

Abstract

The goal of this study is to develop a decision support system (DSS) using the Technique for Order Preference by Similarity to Solution (TOPSIS) and Simple Multi-Attribute Rating Technique (SMART) approaches to evaluate the Posyandu Program. The case study focuses on Posyandu in Tangerang Selatan Regional. The local government runs Posyandu, an Indonesian public health service facility for women and children. This DSS system uses the TOPSIS approach to employ the ranking function and select the best alternative based on agreed-upon criteria with the local Posyandu. This approach calculates the distance between each option with a positive ideal solution and a negative ideal solution and then computes the relative preference value, which determines how to rank. In addition, the SMART approach assigns weights to each predefined criterion. Using the TOPSIS and SMART approaches to implement DSS at Posyandu helps people make decisions by providing them with the best ranking results based on predefined criteria. Thus, it is believed that the findings of this study would improve the quality of Posyandu services and contribute to the overall health of the community.
Evaluating IT Capabilities in The Success of Pipe Manufacturing Company Holman, Jason Nathanael; Desanti, Ririn Ikana
ULTIMA InfoSys Vol 15 No 1 (2024): Ultima Infosys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i1.3475

Abstract

Information technology (IT) management is a process that a corporation or organization must carry out, particularly in terms of data management. The research employs a case study of a pipe manufacturer that has implemented a human resources system to manage employee information. To avoid problems in the data management process that can impede company performance, the company must have good information technology governance capabilities in the data management process. This research will focus on measuring and evaluating the capability of information technology governance at the company, as well as making recommendations to improve the company's existing IT governance. The COBIT 2019 framework will be used to assess the company's IT governance capabilities using qualitative data collected from collaborative interviews with the company and supported by previous research literature. The measurement focus will be on IT infrastructure for data management and operations management to support the data management process. APO01 - Managed I&T Management Framework, APO14 - Managed Data, and DSS01 - Managed Operations are the COBIT 2019 processes to be monitored. The study's findings include the realization of IT governance capabilities in the APO01 domain and a lack of IT governance capabilities in the other two domains, namely APO14 and DSS01. The capability level is stopped at level 2 for the APO14 and DSS01 domains, which is one level below the declared aim of level 3. The recommendations will center on enhancing the IT governance skills of the two domains that fail to meet the company's capability targets.
PENGEMBANGAN SISTEM E-COMMERCE UNTUK UMAT PAROKI KARAWACI Desanti, Ririn Ikana; Suryasari; Wella; Wiratama, Jansen; Sanjaya, Samuel Ady
JP2N : Jurnal Pengembangan Dan Pengabdian Nusantara Vol. 2 No. 1 (2024): JP2N :September - Desember 2024
Publisher : Yayasan Pengembangan Dan Pemberdayaan Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62180/vxyvwz23

Abstract

Paroki Karawaci memiliki sebuah divisi yang bernama Pengembangan Usaha Sosial dan Modal (PUSM) yang bertujuan untuk membantu menyejahterakan kehidupan umat gereja melalui beberapa kegiatan yang salah satunya yaitu kegiatan menjual berbagai macam produk makanan yang berasal dari para umat. Sebelumnya proses pemasaran dan penjualan dilakukan secara door-to-door ke rumah para umat, namun sayangnya hal tersebut tidak dapat dilakukan lagi pada saat pandemi melanda Indonesia sehingga menyebabkan omset penjualan menurun drastis bahkan hampir tidak ada. Berdasarkan permasalahan tersebut, tim pengabdian kepada masyarakat (PKM) dari program studi sistem informasi UMN mengusulkan cara pemasaran dan penjualan secara online menggunakan situs web e-commerce yang dirancang dan dipergunakan khusus untuk umat gereja paroki karawaci. Situs web e-commerce dirancang menggunakan metode prototyping dan bahasa pemodelan yang digunakan adalah UML diagram. Situs web e-commerce tersebut memiliki fitur utama pengelolaan produk, pengelolaan penjual, transaksi penjualan dan pengiriman barang. Hal yang perlu menjadi perhatian khusus oleh tim pengembang adalah sistem harus user friendly dan seluruh fiturnya juga harus dibuat sederhana karena calon pengguna sistem merupakan pengguna pemula (novice user). Kegiatan PKM telah berhasil terlaksana dengan baik dan untuk tahap selanjutnya situs web e-commerce akan mulai diimplementasi oleh paroki karawaci dan sebelumnya akan diberikan pelatihan kepada calon pengguna.