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Sistemasi: Jurnal Sistem Informasi
ISSN : 23028149     EISSN : 25409719     DOI : -
Sistemasi adalah nama terbitan jurnal ilmiah dalam bidang ilmu sains komputer program studi Sistem Informasi Universitas Islam Indragiri, Tembilahan Riau. Jurnal Sistemasi Terbit 3x setahun yaitu bulan Januari, Mei dan September,Focus dan Scope Umum dari Sistemasi yaitu Bidang Sistem Informasi, Teknologi Informasi,Computer Science,Rekayasa Perangkat Lunak,Teknik Informatika
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Articles 35 Documents
Search results for , issue "Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi" : 35 Documents clear
Regional Grouping Based on Cubic Water Using K-Means Algorithm at Perumda Air Minum Tirta Silaupiasa Asahan Regency Munawar, Fajar; Nasution, Akmal; Santoso, Santoso
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): 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.v13i2.4027

Abstract

Perumda Air Minum Tirta Silaupiasa Asahan Regency is a regional company that has the authority to provide clean water consumption needs for the community in Asahan Regency. Currently, clean water needs, especially for households and industries in Asahan Regency, are supplied by Perumda Air Minum Tirta Silaupiasa which is located at Jalan Jend. Ahmad Yani No. 33, Kisaran, Sei Renggas, West Kisaran, Sei Renggas, West Kisaran City District, Asahan Regency, North Sumatra 21213. Currently, the need for clean water for the people of Asahan Regency comes from Perumda Air Minum Tirta Silaupiasa Asahan Regency. However, the amount of clean water provided for people living in areas with high cubic water in Asahan Regency is still relatively small, this is because the Perumda Air Minum Tirta Silaupiasa Asahan Regency does not know which areas have high, medium and low cubic water usage. Therefore, Perumda Air Minum Tirta Silaupiasa Asahan Regency needs to follow up on this problem by grouping areas based on water cubic. To manage the data, a technique is needed that can be used to extract information from the data, the technique is Data Mining. The purpose of this system is to find out how to analyze water cubic data using the K-Means Algorithm and design a website-based system with the PHP programming language and MySQL Database to determine areas with high, medium, and low water cubic. K-means clustering is a data analysis method or data mining method that performs unsupervised modeling and is one of the data clustering methods using a partition system. The data obtained in the recap of cubic water data at Perumda Air Minum Tirta Silaupiasa Asahan Regency for the period 2021-2023. The research method used in this research is quantitative research method. From the results of implementation and testing the results of the calculation of the K-means clustering method are the results of clustering cubic water in the Asahan district area with high water cubic including West Kisaran with a minimum value of 101727.9655 and East Kisaran with a minimum value of 101727.9655. Then in the Asahan district area with medium water cubic including Air Joman with a minimum value of 151144.2025 and Simpang Empat with a minimum value of 151144.2025. Then in the Asahan district area with low water cubic including B.P Mandoge with a minimum value of 66801.4373, Buntu Pane with a minimum value of 105608.8293, Desa Gajah with a value of 59925.2623, Lubuk Palas with a value of 75832.9197, Meranti with a value of 2892.8137, Sei Kamah II with a value of 47997.2206, and Sei Kepayang Barat with a value of 197781.2457.
Public Service Performance Analysis using Servqual Method in Bandar Pasir Mandoge Village Rahmadhani, Dhea; Ramdhan, William; Syaputra, Abdul Karim
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): 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.v13i2.4002

Abstract

Improving service in an agency cannot be separated from several aspects that must be possessed, such as assurance, empathy, responsiveness, reliability and physical evidence. However, there are several obstacles in improving services at the Bandar Pasir Mandoge Village Head's Office, such as lack of information and transparency. The aim of this research is to create a decision support system using the servqual method to improve the quality of public service performance. This research applies the waterfall model to build a system with stages of analysis, design, implementation and testing. Analysis is carried out to find needs regarding the system being created. Meanwhile, the design consists of entity relationship diagrams and interface design. Next, the implementation stage was carried out at the Bandar Pasir Mandoge Village Head Office using 201 questionnaires. The aspects in this research consist of concern, physical service, responsiveness, physical reliability, and guarantee. System testing uses a black box to see the extent of the functionality of this system. Our findings are that improvements need to be made to guarantee services (communication, courtesy, communication and security). Apart from that, our system is also running well based on the results of black box testing. So this system can be used by the Bandar Pasir Mandoge Village Head's Office as a policy in making decisions to improve the performance of public services.
Usability Evaluation of Pekanbaru dalam Genggaman Application using System Usability Scale (SUS) Putera, Thariq Pratama; Angraini, Angraini; Saputra, Eki; megawati, Megawati; Fronita, Mona; Marsal, Arif
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): 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.v13i2.3782

Abstract

One of the e-Government applications that has been implemented at the Pekanbaru City Statistics and Information Communication Service is the Pekanbaru Application in Your Hand. This application has been running for approximately 2 years since it was launched on September 2, 2021 and has not undergone any assessment using specific standard methodologies to gauge end-user satisfaction levels. The purpose of this research is to assess the user-friendliness of the Pekanbaru In Hands Application website through the utilization of the System Usability Scale (SUS) method. The SUS method, known for its validity and reliability, offers a straightforward application. It comprises ten questions formulated by John Brooke, and the outcomes are presented as scores ranging from 0 to 100.. The 65 respondents consisted of ASN and non-ASN employees from the Pekanbaru City Communications, Statistics and Informatics Service. The result obtained from the SUS calculation is 59, for the adjective assessment category including ok, with a scale value of F, and including marginally low for the acceptability range category where the application can be accepted but the level of acceptance is still low. This indicates that enhancements are required for the application to achieve a higher acceptance rate. This research produces 4 suggestions for enhancing solutions, serving as valuable references in forthcoming application development.
DDoS Protection System for SDN Network Based on Multi Controller and Load Balancer Ulfa, Husnul; Basuki, Akbari Indra; Suranegara, Galura Muhammad; Fauzi, Ahmad
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): 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.v13i2.3802

Abstract

DDoS attacks on SDN networks can create a single point of failure that has the potential to disrupt the overall network performance. In a single controller scheme, there is a potential risk of experiencing buffer overload, leading to traffic congestion as switches must wait for responses from the controller before forwarding network packets. To address this challenge, this research implements security measures using a multi-controller and load balancer approach, aiming to enhance SDN network resilience against DDoS attacks. The system operates by distributing the workload from the main controller to a backup controller through a load balancer when indications of a DDoS attack are detected. These attack indications are determined based on the miss rate value of unique forwarding requests exceeding a specific threshold. The results of this approach have proven effective in improving the reliability, responsiveness, and quality of SDN network traffic during DDoS attacks. The testing parameters involved in this research include controller response time and network traffic quality, comprising latency, bandwidth, throughput, and jitter. Based on the test results, the multi-controller and load balancer-based approach successfully enhanced network quality and controller responsiveness by 66.51% compared to the longer single controller scenario, specifically 202.49% during DDoS attacks. In terms of controller responsiveness, there is a very slight increase of around 0.01% in latency between the two. While Multi Controller demonstrated a remarkable 43.21% increase in throughput compared to Single Controller, this improvement in throughput is accompanied by a significant 204% increase in jitter.
Implementation of Geographic Information System for Hotels and Lodging in Asahan Regency Salsabila, Adinda; Nurwati, Nurwati; Sena, Maulana Dwi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): 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.v13i2.4020

Abstract

Asahan Regency is one of the regencies located in North Sumatra. There are hotels and inns scattered at several points in Asahan Regency. Visitors from outside Asahan Regency and local residents still do not know the distribution points. It is still difficult to find out the closest route to hotels and inns. This will make visitors confused about the location of the hotel. So with that, a system is needed that can facilitate tourists and the government in Asahan Regency, especially the Youth, Sports and Tourism Office, to provide accurate information and promotional tools about the location of hotels and inns to help visitors find the right accommodation. That is by creating a Geographic Information System for Hotels and Lodging in Asahan Regency by utilizing the Google Maps API which displays information related to the location of hotels and inns as well as detailed hotel and inn information such as addresses, hotel prices and other information and also displays information about the Asahan Regency Youth, Sports and Tourism Office.
ALGORITMA NAÏVE BAYES UNTUK ANALISIS SENTIMENT REVIEW BLIBLI.COM DI GOOGLE PLAY STORE Fadhilah, Siti Nur; Utomo, Fandy Setyo
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): 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.v13i2.3887

Abstract

Currently, there are approximately 354 million active mobile phones in Indonesia, placing the country fourth globally in terms of the highest number of mobile phone users. E-Commerce, as a form of online transaction, enables the digital exchange of goods and services to meet daily needs. This research aims to implement sentiment analysis using the Naive Bayes classification algorithm as a method to gather user opinions. Thus, the study not only provides insights into customer satisfaction with Blibli.com but also serves as a basis for potential improvements in services or feature development to enhance the online shopping experience. Overall, the Naive Bayes algorithm successfully achieved an accuracy of around 84%, demonstrating its proficiency in categorizing sentiment in reviews. When focusing on negative data, the Naive Bayes algorithm exhibited a precision of approximately 79%, recall of around 95%, and an f1-score of about 86%, indicating its success in identifying and classifying negative reviews with high precision and sensitivity. On the positive side, the Naive Bayes algorithm achieved a precision of about 91%, recall of around 83%, and an f1-score of about 87%.
Using Power BI to Apply Business Intelligence to Product Sales Sinambela, Annabella Dian Dameria; Zahra, Almira; Jaman, Jajam Khaerul
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): 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.v13i2.3036

Abstract

This research aims to investigate the use of Power BI, which is one of the leading tools in the BI industry, in applying Business Intelligence in the context of product sales. Business Intelligence (BI) is a solution used to address the needs of companies with a focus on data analysis and access to support better decision making. The main goal is to help companies in the decision-making process through steps such as designing databases, Data Warehouse, and report generation. The result of this research is the analysis of reports showing product sales with the lowest contribution compared to other areas. Therefore, products that have the lowest contribution need special attention. One of the efforts that can be made is to carry out promotions and provide discounts to increase the number of orders from customers in a wider area.
Classification of Suspicious Financial Transactions using Light Gradient Boosting Machine Method (LGBM) based on Social Network Analysis (SNA) Indicators Ayu Fara Paramitha; Yuti Dewita Arimbi; Slamet Riyanto; Niken Fitria Apriani; Al Hafiz Akbar Maulana Siagian
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): 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.v13i2.3273

Abstract

Money laundering is an act committed by individuals or a group to conceal or disguise the origin of wealth obtained from illegal activities into assets that appear to have been acquired through legal means. Generally, there are three money laundering processes: placement, layering, and integration. The complexity of these money laundering processes described above makes it difficult to trace suspicious financial transactions and identify the parties involved and which transactions are connected to the suspected money laundering network. To address this issue, Social Network Analysis (SNA) is implemented to generate SNA features. In the following stage, these SNA features are employed as indicators to detect suspicious financial activities. The gathered indicator data is utilized to build a classification model using the Light Gradient-Boosting Machine (LGBM) approach. The results of this study show that the model created using SNA and LGBM methods achieved an accuracy of 97%. The precision, recall, and F1-Score values for non-suspicious transaction data were 98%, 97%, and 97%, respectively, while for suspicious transaction data, they were 97%, 98%, and 97%, respectively. The achieved accuracy values were quite high indicating that the used approach was capable of effectively classifying suspicious financial activities. We believe that the findings of this study could be an alternative method for detecting suspicious financial transactions in order to avoid money laundering operations.
Network Forensic: Analysis of Client Attack and Quality of Service Measurement by ARP Poisoning using Network Forensic Generic Process (NFGP) Model Ramadhan, Rizdqi Akbar; Tira, Agro Tambas; Fadhilah, M. Rizki
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): 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.v13i2.3804

Abstract

In computer network, communication from one computer to another computer can be intercepted, the way to intercept communication between network devices is with Address Resolution Protocol Poisoning attack. This attack can steal data such as usernames and passwords, modify traffic, and stop the traffic itself. This research implements the Network Forensic Generic Process model as a reference in Network Forensics practice. Apart from that, this research also measures quality of service to compare parameters before the attack and when the attack occurred. The tools used in this research are Wireshark, XArp, and Snort. This research succeeded in obtaining authentic information from the evidence obtained. The results of quality of service measurements showed that the quality of service parameters changed when the attack occurred. This research can be a reference in improving network security by better understanding the threats that may be encountered and providing valuable insight for future security prevention and response efforts.
E-Posyandu to Improve Maternal and Child Health Services in Desa Aek Nagali Merilan, Fina; Helmiah, Fauriatun; Nehe, Nurkarim
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): 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.v13i2.3948

Abstract

Posyandu's role is to monitor the growth and development of children, detect diseases from an early age, and monitor the health of mothers and children in order to realize the social welfare of the community. With the internet as a medium for distributing information and services more effectively and efficiently, Posyandu can provide better information and services to the public through a website. Posyandu Aek Nagali Village does not yet have an information technology-based application that helps Cadres to record and find back the information handled by mothers and children. All records are still done manually on paper. Of course this is very vulnerable to data loss, data recording errors, difficulty finding data and unable to access data together. Recapitulation that is done manually is very prone to errors and will take up quite a lot of time. This manual recording process also complicates the reporting process to the village level. Likewise, when cadres report results to the Puskesmas, they still have to do manual recapitulation. This information is useful for knowing the child's growth, whether there are deviations or not. If there is a deviation, it is immediately known and followed up by medical personnel at Posyandu.

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