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Risk Factor Analysis of Dengue Fever in Makassar City using the Simple Additive Weighting Method Paseleng, Fatricius; Susetyo, Yeremia Alfa
Sistemasi: Jurnal Sistem Informasi Vol 14, No 2 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i2.5079

Abstract

Dengue Fever is caused by the Flavivirus, which is transmitted through the bites of Aedes aegypti mosquitoes and several other Aedes species. Dengue Fever has a significant impact on public health, especially in large cities like Makassar. This study employs the Simple Additive Weighting (SAW) method to evaluate the main risk factors for dengue fever in Makassar City. The research will be conducted through several stages, including literature review, data collection, determining criteria and their weights, normalizing the decision matrix, calculating final scores, and making decisions. The results indicate that the Totaka sub-district has the highest dengue risk with a score of (0.395307), followed by Gusung (0.329353), while Barang Caddi has the lowest dengue risk (0.000618). This study aims to provide a ranking of dengue risks that can assist decision-makers in formulating prevention and control strategies for dengue fever in Makassar City.
Implementation of the Laravel Framework in Tutoring Information System (Case Study: Glow Math Course) Anggraeni, Martina Meita; Susetyo, Yeremia Alfa
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5211

Abstract

The development of the Glow Math Course learning guidance information system using the Laravel framework has proven highly effective in accelerating the creation of secure and complex web applications. By utilizing the MVC architecture, Eloquent ORM, and Blade templating engine, as well as seamless integration with Midtrans, Laravel has streamlined the development process, improved efficiency, and delivered an intuitive user interface. Following User Acceptance Testing (UAT) with students, the evaluation showed that 85.92% of the system met the defined user requirements. Testing involved end users to ensure that the application met their expectations and needs. Additionally, system testing confirmed that the platform effectively supports the business processes of the tutoring service.
Sistem Informasi Geografis Potensi Sumber Daya Kelautan Berbasis Android Saian, Pratyaksa Ocsa Nugraha; Pratama, Raka Arya; Susetyo, Yerymia Alfa
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2574

Abstract

Indonesia is the biggest maritime country that has big marine resources too. It needed a good strategy so the marine resource usage can be managed well. Now, it can be helped by using information technology. The purpose of this research is to create a Geographic Information System for knowing potential marine resources in Daerah Istimewa Yogyakarta Coast. The result of this paper is a Geographic Information System that will runs in Android devices. The test results show 82,93% of users already satisfied with this application. It indicates that this application is in a Very Good category.
Rancang bangun sistem presensi berbasis artificial intelligence menggunakan microservice pada flask Wibowo, Andrean Vini Bimo Arya; Yeremia Alfa Susetyo
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 4 No 3 (2025): IT-Explore Oktober 2025
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v4i3.2025.pp334-351

Abstract

Conventional attendance systems often face various problems such as inefficiency, inaccuracies in attendance logging, and limitations in recapitulation processes. Manual systems are prone to human error and time-consuming, while fingerprint-based systems may fail when the sensor is affected by dirty, wet, or damaged fingers. This study aims to develop an attendance system based on Artificial Intelligence (AI) by utilizing the face_recognition function in Python and implementing a microservice architecture to improve efficiency and accuracy in attendance recording. The system is developed using the Agile Feature-Driven Development (FDD) method, which focuses on building system features based on prioritized business values. This method is applied within the Software Development Life Cycle (SDLC) to ensure a structured, iterative, and user-oriented development process. Facial recognition is performed by comparing the encoding of the captured face image with the data stored in the database. The results show that the system is capable of recording attendance automatically, accurately, and in real-time. Furthermore, the recapitulation process becomes more efficient as the system manages and presents the data systematically.
Pembangunan Stock Monitoring Application untuk Pembuatan Laporan Goods in Transit Menggunakan Flask Putra, Muhammad Al Frizal Deva Syach; Susetyo, Yeremia Alfa
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 2 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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

Abstract

PT XYZ is the largest retail company in Indonesia. PT XYZ is definitely inseparable from problems regarding stock items. The problem is generally about the difference in stock of goods that can occur due to the condition of goods in transit from the warehouse to the store or vice versa (Goods in Transit), goods lost on the way, or the store has not made a goods receipt report. One strategy to overcome this problem is to build a Stock Monitoring application for web-based Goods in Transit (GIT) report generation using the Flask Framework. The application is built using the Python programming language and the Waterfall method. The application of the MVC (Model, View, Controller) architecture of the Flask Framework and the Waterfall method can support the development of the Stock Monitoring application because the code settings are easy to manage and each process is carried out systematically so that the workflow becomes structured and easy. The result of this research is the application of the Flask Framework and the Waterfall method in the Stock Monitoring application which is used to generate GIT reports to overcome the problem of missing stock.
Implementasi Algoritma LSTM pada Aplikasi Optical Character Recognition Berbasis Website Menggunakan Tesseract OCR Setyadi, Alpha Fausta Ikrar; Susetyo, Yeremia Alfa
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 2 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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

Abstract

The practicality of digital document processing has made various companies and organizations switch physical documents to digital. However, the process of extracting data from physical documents manually requires effort and is prone to input errors due to human error. Optical Character Recognition (OCR) technology can be a solution to this problem. OCR is used to recognize letters or characters in an image, and then stored into text data on a computer. In this research, the implementation of OCR technology on a web-based application with Long Short-Term Memory method. Based on accuracy testing, the average error value at the character level is 6.56% and at the word level is 9.98%. From the results obtained, it shows that the application of OCR technology with Long Short-Term Memory method on web applications can be the right solution in the process of extracting data from physical document.
Geospatial API Architecture with Laravel for Agricultural Land Suitability Detection System Susetyo, Yerymia Alfa
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.2844

Abstract

Identification of agricultural land suitability involves a variety of variables that are heterogeneous. The heterogeneity of spatially-based climate and physiographic data is in fact quite complex to solve. Therefore, a spatial-based system architecture that meets the criteria of inclusiveness, collaboration, capacity development, and quick request-response is needed. The research aims to build an API geospatial architecture with Laravel for Agricultural Land Suitability Detection Systems. The geospatial API architecture in this study was built using RESTFul Web services on the Laravel Framework. Simulation architecture involves five nodes as a server and one node as a client. Six main API were produced in this study. Four services are derived from four severs, where services are services related to spatial data (area, altitude, slope, and rainfall). Meanwhile, two other services, relating to conventional information zoning of agricultural land suitability generated by Server 5. The service generated by the last server was successfully implemented on the client-based web-based interactive map application.
Digital Transformation in Religious Organizations: The Application of Data Management for Church in Magelang Fibriani, Charitas; Kristiyani, Dian Novita; Susetyo, Yeremia Alfa; Yulia, Hanita
Jurnal Abdimas Vol. 28 No. 2 (2024): December 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/8mjbj740

Abstract

The Plengkung Javanese Christian Church Synod (GKJP) is one of the Protestant church groups located in several areas on the island of Java. The condition of data recording in GKJP is still done by recording using book media. This causes data inconsistency or redundancy. GKJP also requires data management that can be used to obtain classes for congregation groups according to several needs. This Community Service aims to build the GKJP Magelang City Congregation Information System, where this system will focus on recording congregation data so that it is hoped that the problems of inconsistency and redundancy can be resolved and can utilize the congregation data to obtain certain criteria groups using the classification analysis menu.