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All Journal ComTech: Computer, Mathematics and Engineering Applications Indonesian Journal of Electrical Engineering and Computer Science
Win Ce
Bina Nusantara University
Computer Science & IT Engineering Mathematics

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System Requirement in View Of Users and Process for Content Management and Academic Support System for Computer Laboratory (Case Study: Software Laboratory Center Binus University) Win Ce; Hanny Juwitasary; Hendro Hendro
ComTech: Computer, Mathematics and Engineering Applications Vol. 6 No. 1 (2015): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v6i1.2286

Abstract

The system for Laboratory Information will take focus on determining the need for information systems related to the management, content development and academic management in the laboratory. These processes will focus on understanding the need and system requirement for a laboratory information system that focus on content management and the way to design a process to make sure the continuation of content creation can be done. With the design of the laboratory information system is expected to serve as a sample in the development of similar application for the course in general. The methodology to be used is to use the study of literature, design, and testing of laboratory information systems.
Metodologi Pemecahan Masalah Analisis dan Evaluasi Open Source untuk Perusahaan: Sample Case E-Learning System Win Ce; Gisella Febrina Alam
ComTech: Computer, Mathematics and Engineering Applications Vol. 2 No. 2 (2011): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v2i2.2942

Abstract

High increment of information system needs for company goes in line with the high demands of increasingly competitive and rivalry of industry. Corporate investment needs automatically increase to meet the demanding needs of this system. New developments in systems and technology can not be ignored by companies because it gives a very high economic boost in the competition. On the other hand, in line with the development of information systems is the development of Open Source applications as a cheaper alternative for enterprise use. With so many alternative of Open Sources requires companies to be more observant of selecting the best applications that meet the company needs and can be quickly implemented. This study presents the best approaches to select the best Open Source applications for companies, such as literature review, implementation and evaluation of e-learning Open Source application. 
Pendekatan Proses Pengidentifikasian Pengetahuan Perusahaan untuk Memaksimalkan Akselerasi Sebagai Landasan Knowledge Management System Win Ce
ComTech: Computer, Mathematics and Engineering Applications Vol. 2 No. 2 (2011): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v2i2.2944

Abstract

The high increment of competition currently requires companies to have more values to offer to customers. Company must also truly understand what the core of the companies is as the reason of customers continuing the cooperation with the company. In its growth of knowledge management it clearly provide direction and a real acceleration to the company. The biggest problem is the lack of the ability of companies to see and identify the main knowledge and the main core in the company. This study discusses the best approach to identify the existing knowledge in the company as the basis for the development of the companies and for the construction of knowledge management system. 
Penerapan Knowledge Management System Sebagai Sarana Pertumbuhan Organisasi pada PT Intimap Win Ce; Hendra Hendra
ComTech: Computer, Mathematics and Engineering Applications Vol. 2 No. 2 (2011): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v2i2.2950

Abstract

This article discusses aout the knowledge management system implementation as growth tool at PT Intimap. The purpose of this study is to give solution to problems faced by PT Intimap, related to knowledge and the resources they own. Method used for the system development is the SDLC. Analysis shows that PT Intimap is a company with vast amount of knowledge. However, the knowledge has not been managed very carefully. Hence, there is a need to an integrated system, where all employees can put their knowledge and look for what they want to know within the system. 
Statistical comparison of MLP and LSTM for mobile health sentiment analysis Ghanim Kanugrahan; Win Ce; Vito Hafizh Cahaya Putra; Yudi Ramdhani; Febriyanti Panjaitan
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i3.pp818-826

Abstract

This study investigates user sentiment towards the Mobile JKN public health application by applying text classification models based on deep learning. Two approaches were compared: a multi-layer perceptron (MLP) with TF IDF features and long short-term memory (LSTM) with Word2Vec embeddings. The dataset consists of 114,364 Indonesian-language user reviews collected from the Google Play Store. To address class imbalance, we applied random oversampling. Each model was evaluated using 5-fold stratified shuffle split cross-validation. The results showed that MLP models achieved higher accuracy (up to 83.90%), while LSTM models demonstrated better recall and precision on minority classes such as neutral sentiment. However, statistical validation using the Wilcoxon signed-rank test revealed that the performance differences between models were not statistically significant (p > 0.05). These findings suggest that both models are viable for sentiment analysis, with trade-offs depending on the evaluation metric of interest. Future work may explore hybrid architecture and larger datasets for improved performance and statistical confidence.
Co-Authors Febriyanti Panjaitan Ghanim Kanugrahan Gisella Febrina Alam Hafizh Cahaya Putra, Vito Hanny Juwitasary Hendra Hendra Hendro Hendro Yudi Ramdhani