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All Journal JOIN (Jurnal Online Informatika) Jurnal Indonesia : Manajemen Informatika dan Komunikasi RISTEC : Research in Information Systems and Technology
Nava Gia Ginasta
Universitas Logistik & Bisnis Internasional
Computer Science & IT

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AUDIT SISTEM INFORMASI OPERASIONAL MENGGUNAKAN FRAMEWORK COBIT 5 (STUDI KASUS : BANK XYZ) Supriady; Nava Gia Ginasta; Rahma Hanum
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i1.147

Abstract

Bank XYZ is one of the BPD Banks. One of the strategies is to reduce the amount of investment and improve the quality of services in terms of information technology. The performance of the Operational Information System at Bank XYZ in serving customers will determine the quality of the services it provides. In conducting this research, the author uses the COBIT 5 framework with a DSS domain that combines control standards from many different sources in a single framework that can enable management to make control and control of the Information System environment. Gap analysis is the current capability level with the expected level of capability. Thus it can be seen how far the reach that must be achieved until the organization's goals are achieved. The results of the assessment and evaluation of the conformity of standards and operational management in the information technology system at Bank XYZ with the COBIT 5 framework with the results of the assessment of Bank XYZ current capabilities are at level 4 a predictable process. The result of level 4 is to ensure that the implementation of the process can support organizational goals.
Review Analysis of SatuSehat Application Using Support Vector Machine and Latent Dirichlet Allocation Modeling Fikri Fahru Roji; Nava Gia Ginasta; Yayan Cahyan; Dinar Rahayu; Dendi Ramdani
RISTEC : Research in Information Systems and Technology Vol 4, No 1 (2023): Riset Sistem dan Teknologi Informasi
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/ristec.v4i1.3312

Abstract

SatuSehat is a contact tracing application that replaces the PeduliLindungi application initiated by the Government of Indonesia with the aim of tracking the Covid-19 Virus. The success of the application can be known by analyzing sentiment reviews. In addition to the high number of reviews, there are also other things that need to be highlighted, namely the pattern of reviews that are not in accordance with refined spelling and diverse topics, so that identifying a topic from a collection of reviews is very difficult and takes a lot of time if done manually by humans. This research describes sentiment analysis and topic modeling on SatuSehat app user reviews. By applying Support Vector Machine (SVM) method for sentiment analysis and Latent Dirichlet Allocation (LDA) for topic modeling, this study reveals the views and trends expressed by users. The analyzed review data from Google Play Store includes 171,428 positive reviews and 131,246 negative reviews. The sentiment analysis results indicated the dominance of positive responses. LDA modeling resulted in 8 identified topics, from health concerns to app appreciation. However, negative topics included vaccination challenges, access issues, and app functionality. This research provides insight into users' perceptions of the SatuSehat app, providing a basis for further development and improvement of the app. Keywords: Sentiment Analysis; Topic Modeling; OneHealth App; SVM; LDA
Inventory Control at The Perintis Cimaung Pharmacy Using Open Source Enterprise Resource Planning System: Odoo 14.0 Krisnawanti Krisnawanti; Nava Gia Ginasta; Muhammad Faisal Nasrudin; Amida Anis Nasution
RISTEC : Research in Information Systems and Technology Vol 4, No 1 (2023): Riset Sistem dan Teknologi Informasi
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/ristec.v4i1.3112

Abstract

Along with the times and technology, more and more companies are switching from manual management of business processes to integrated information systems. Perintis Pharmacy is a pharmacy located in the Bandung district. Perintis Pharmacy has been serving its customers since 2010. However, Perintis Pharmacy has experienced several problems, where all business processes are still carried out manually. Errors frequently occur in both the service process and the inventory management system. Errors in stock calculations and ordering are the main obstacles. This causes the Pharmacy to experience losses both in terms of service quality and financially. So it is necessary to implement an integrated system so that inventory management becomes more effective and efficient, namely the application of an Enterprise Resource Planning (ERP) system that is integrated with forecasting simulations to obtain a more accurate amount of drug procurement. Demand forecasting is done using Time Series data with the Single Exponential Smoothing method, given the fluctuating demand every month. Then the forecasting results are integrated with the ERP system using the Odoo 14.0 application in the invoice, purchase, and inventory modules. By using the Odoo 14.0 application, it is expected that Perintis Pharmacy can increase efficiency and effectiveness in managing drug supplies so as to improve service quality and financial benefits.
Customer Loyality Segmentation on Point of Sale System Using Recency-Frequency-Monetary (RFM) and K-Means Bayu Rizki; Nava Gia Ginasta; Muh Akbar Tamrin; Ali Rahman
JOIN (Jurnal Online Informatika) Vol. 5 No 2 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i2.511

Abstract

It is no doubt that the development of the business world has been progressive. Point of sale is one of the many system used as a means of payment in various existing businesses, especially in heterogeneous markets. The activity of transactions between Point of Sale Systems and Customers occur in the business world. Keep in mind also that one of the main factors of business success, is from customers. There is the need of an attractive strategy and certainly it will be to increase the income and assets of a business. To know that, this research will explore the behavior of customer which is based marketing, through RFM Method (Recency, Frequency and Monetary). The case of this study is in Goldfinger Store. It will do segmentation and also use data mining technique to do clustering by using K-Means with result of loyal and potential customer. The results of segmentation using RFM (Recency, Frequency, Monetary) and K-Means methods have produced multiple clusters by dividing them into groups.
Co-Authors Ali Rahman Amida Anis Nasution Bayu Rizki Cahyan, Yayan Dendi Ramdani Dinar Rahayu Fikri Fahru Roji Krisnawanti Muh Akbar Tamrin Muhammad Faisal Nasrudin Rahma Hanum Supriady