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All Journal JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Pekommas Ultima Management : Jurnal Ilmu Manajemen G-Tech : Jurnal Teknologi Terapan Journal of Applied Data Sciences
Suryasari
Universitas Multimedia Nusantara
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Other

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Rancangan Aplikasi Customer Service Pada PT. Lancar Makmur Bersama -, Suryasari; Callista, Astrid; Sari, Juwita Sari
Jurnal Sistem Informasi Vol 4, No 2 (2012): Oktober
Publisher : Major of Information Systems Faculty of Computer Science Sriwijaya University

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

Abstract

This research is based on the need of an organized customer service system for PT. Lancar Makmur Bersama. PT. Lancar Makmur Bersama is a company that engaged in sales engineering tools. This company has many customers, therefore the customer service would be necessary to regulate and maintain good relationships with customers.The main problem faced by this company is often complaint from customers is not responded properly and information about the complaint is not documented. In addition, the activity of selling goods to customers are also not recorded properly. This research produced a system design using prototyping methods, and UML (Unified Modeling Language). The designed system could organized and documenting every complaints, feedbacks, and questions from customers, so that if there is problem that can be followed immediately.Key Word : Customer Service Application
Enterprise Resource Planning (ERP) Evaluation using User Experience Questionnaire and Development of Chatbot for Indonesian Insurance Company Ryang Agung; Jansen Wiratama; Suryasari
G-Tech: Jurnal Teknologi Terapan Vol 7 No 1 (2023): G-Tech, Vol. 7 No. 1 Januari 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (629.514 KB) | DOI: 10.33379/gtech.v7i1.2017

Abstract

Implementing Enterprise Resource Planning (ERP) can facilitate the planning and management of company resources. One of the insurance companies in Indonesia implementing ERP is PT Asuransi Jiwa Manulife; the platform used is a cloud-based ERP from Infor company, namely Infor CloudSuite. The Cloud ERP feature used is MiPOS, a part of making insurance proposals for prospective customers. In the implementation of MiPOS, there are still deficiencies in User Experience (UX) which are not yet user-friendly; therefore, a UX evaluation on MiPOS is carried out using the User Experience Questionnaire (UEQ) method distributed to MiPOS users as respondents. UEQ is a complete User Experience assessment framework that captures a person's impression of a system. UEQ has six aspects with 26 assessment criteria as a measure. However, in this research, the measurement was focused on the Perspicuity aspect. The research results show that the Perspicuity aspect score has the lowest value, namely -0.379 points, which falls into the neutral category. The effects of the Perspicuity aspect form the basis for ERP development by creating Frequently Asked Questions (FAQ) pages equipped with the Chatbot feature.
Design of E-Procurement System In CV. W3 INDONESIA Prasetya, Kusno; Hery, Hery; Widjaja, Andree E; Suryasari, Suryasari
Jurnal Pekommas Vol 5 No 2 (2020): October 2020
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v5i2.2043

Abstract

This research is a part of the implementation of e-procurement in CV. W3 Indonesia. The procurement was done conventionally using paper forms which were filled and submitted to the supervisor to get approval. After that, the purchasing department would purchase the items ordered. The design and implementation of this e-procurement resulted a system that is able to improve efficiency procurement processes time, and reduce operational costs by eliminating paper that was originally used as a medium for communication and verification.
EVALUATION OF QUALITY MANAGEMENT SYSTEM USING ISO 9001:2015 AT STARTUP COMPANY Anggraeni, Luqyana Fitri; Wella, Wella; Suryasari, Suryasari
ULTIMA Management Vol 14 No 2 (2022): Ultima Management : Jurnal Ilmu Manajemen
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/manajemen.v14i2.2850

Abstract

Abstract- The Company requires international standards to be recognized by large companies. The international standard that can be used is ISO 9001:2015, were before implementing directly to formal institutions, companies need to conduct a self-assessment on the achievement of ISO 9001:2015 implementation. The ISO 9001:2015 international quality management system is based on ten principles. These principles are used by senior management as a framework that guides the organization towards improving performance. The rating scale consists of Very Poor, Poor, Moderate, Good, and Very Good, which is converted into a maturity level. The implementation of ISO 9001:2015 has been going well, where the average maturity level obtained by The Company is at levels 3 to 4. Keywords: ISO 9001:2015; Maturity Level; Quality Management
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.
Co-Authors Anggraeni, Luqyana Fitri Astrid Callista Devi Sianita Soeprapto Hery Hery Jansen Wiratama Laura Vianti Prasetya, Kusno Ririn Ikana Desanti Ryang Agung Sari, Juwita Sari Wella, Wella Widjaja, Andree E.