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All Journal RISTEC : Research in Information Systems and Technology Journal of Information System & Business Management (ISBM)
Gia Ginasta, Nava
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Computer Science & IT Decision Sciences, Operations Research & Management

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Pengembangan Sistem Pengelolaan Tempat Sampah Pintar Menuju Smart City berbasis Internet of Things (IoT) Gia Ginasta, Nava
Journal of Information System & Business Management (ISBM) Vol. 2 No. 1 (2024)
Publisher : Universitas Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24905/isbm.v2i1.37

Abstract

Sampah yang tidak bisa dimanfaatkan atau didaur ulang menjadi masalah umum pada daerah perkotaan. Karena lahan yang sempit sehingga tempat pembuangan sampah tidak dapat menampung sampah setiap harinya, tidak adanya tempat sampah yang bisa memberi solusi. Tempat sampah disetiap daerah tidak dapat dimanfaatkan antara sampah orgnaik dan non-organik dan sampah tidak menjadi nilai ekonomis bagi pembuang sampah maupun pengelola sampah dan tidak terkontrol dengan baik dikarenakan tidak terdapat indikator kapasitas di setiap tempat sampah. Maka untuk mengatasi permasalah tersebut, penulis memberikan usulan prototype bank sampah yang akan dibangun menggunakan mikrokontroller yang dapat memilah sampah organik dan non-organik yang dapat didaur ulang dan menjadi nilai ekonomis baik untuk pembuang sampah ataupun pengelola sampah, yang dapat memberi solusi dengan teknologi. Bank sampah yang terkontrol yang dapat diketahui lokasinya oleh pembuang sampah ataupun pengelola sampah, selain itu pengelola sampah dapat mengetahui indikator kapasitas dari setiap Bank of Garbage secara realtime.
Inventory Control at The Perintis Cimaung Pharmacy Using Open Source Enterprise Resource Planning System: Odoo 14.0 Krisnawanti; Gia Ginasta, Nava; Faisal Nasrudin, Muhammad; Anis Nasution, Amida
RISTEC : Research in Information Systems and Technology Vol. 4 No. 1 (2023): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Along with the times and technology, more and more companies are switching from manual mana gement of business processes to integra ted information systems. Perintis Pha rmacy is a pha rmacy located in the Bandung district. Perintis Pha rmacy has been serving its customers since 2010. However, Perintis Pha rmacy has experienced severa l problems, where all business processes a re still carried out manually. Errors frequently occur in both the service process and the inventory management system. Errors in stock ca lculations and ordering a re the ma in obstacles. This causes the Pha rmacy to experience losses both in terms of service quality and financia lly. So it is necessa ry to implement an integra ted 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 Exponentia l 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 Pha rmacy can increase efficiency and effectiveness in managing drug supplies so as to improve service quality and financial benefit s.
Review Analysis of SatuSehat Application Using Support Vector Machine and Latent Dirichlet Allocation Modeling Fahru Roji, Fikri; Gia Ginasta, Nava; Cahyan, Yayan; Rahayu, Dinar; Ramdani, Dendi
RISTEC : Research in Information Systems and Technology Vol. 4 No. 1 (2023): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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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.
Conducting Penetration Testing to Identify Vulnerabilities in a Bank Company Information Technology Gia Ginasta, Nava; Krisnawanti; Fahru Roji, Fikri
RISTEC : Research in Information Systems and Technology Vol. 4 No. 2 (2023): RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Company XYZ is a regional business entity that manages finances and provides credit to small businesses. However, their e-banking applications have vulnerabilities that hackers can exploit. This research aims to identify and understand potential attacks on these vulnerabilities, assess the impact of exploitation by attackers, and provide recommendations for securing computer systems and networks based on penetration testing results. The XYZ e-banking application web server can be tested using five methods: Vulnerability Scanning, Apache Tomcat Sample Directory Vulnerabilities, Cross-Site Request Forgery (CSRF), Weak Cryptographic Testing, and Header Security. The application is in the Warning to High category, which indicates that it requires follow-up action. To mitigate the vulnerability, developers can take steps such as deleting the /examples directory, limiting the validity of cookies, using SSL and enabling Mod Security.
Co-Authors Anis Nasution, Amida Cahyan, Yayan Dendi Ramdani Faisal Nasrudin, Muhammad Fikri Fahru Roji Krisnawanti Rahayu, Dinar