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INDONESIA
Sistemasi: Jurnal Sistem Informasi
Published by Universitas Islam Indragiri
ISSN : 23028149     EISSN : 25409719     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
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
Arjuna Subject : -
Articles 40 Documents
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Search results for , issue "Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi" : 40 Documents clear
Analysis of ChatGPT Adoption using the UTAUT Model Galantry, Lisa Amelia; Tanaamah, Andeka Rocky
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.4124

Abstract

In the current digital era with information technology is developing rapidly in various fields. Especially in all human work that requires working quickly with maximum results. many innovations have emerged, one that currently popular is Artificial Intelligence (AI). One of the popular AI currently is ChatGPT, with many of ChatGPT's users, including students. This research contains what factors that influence interest in using ChatGPT, especially among students, with a case study focusing on undergraduate students of Information Systems at Satya Wacana University. The aim is to identify the factors influencing students in using ChatGPT for both learning and daily activities, The Unified Theory of Acceptance and Use of Technology (UTAUT) model is being used in this study. The results of this research show that the acceptance of ChatGPT among Undergraduate Students of Information Systems at Satya Wacana Christian University. Performance expectancy and Facilitating conditions are factors that influence the intention to use ChatGPT. Then there is behavioral intention shows that the intention to use also influences user behavior.
Analysis and Visualization of Breast Cancer Prediction through Machine Learning Models Ayepeku, Olukayode Felix
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.4100

Abstract

This research presents an in-depth exploration of breast cancer prediction through the application of machine learning models, specifically focusing on Logistic Regression, K-Nearest Neighbors, Support Vector Classifier, 'Decision Tree Classifier, Random Forest Classifier, Gradient Boosting Classifier, AdaBoost Classifier, and XGBoost Classifier. The study utilizes a comprehensive dataset comprising clinical features extracted from Kaggle. Various algorithms are employed, and a meticulous analysis of precision, recall, F1-score, and accuracy is conducted to assess model performance. Through advanced visualization techniques and statistical analysis, the research provides insights into the effectiveness of machine learning models in predicting breast cancer. The outcomes of this study aim to contribute valuable knowledge to the field of medical diagnostics, emphasizing the importance of machine learning methodologies in enhancing breast cancer prediction and classification.
Implementation of Data Mining using Aprirori Algorithm to Improve Sales Patterns of MSME Products Prayoga, Riza Akhsani Setyo; Putra, Adzanil Rachmadhi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.3472

Abstract

Business development is getting faster and full of rivals, especially in the world of MSMEs. MSME entrepreneurs need to develop marketing strategies so that their products can sell a lot so that they can make a profit. One way to assist in marketing strategies can use a priori algorithms so that they can help in sales patterns by using historical consumer transaction data. After testing the results of this system gives good results. This a priori algorithm has several stages in the calculation process starting from the process of calculating support and determining minimum support to evaluate data values that are below minimum support. Then the confident calculation to assist in the formation of association rules so that there are steps to evaluate the value of data that is below the minimum confident. Then there is an elevator to provide information validly and show the transaction process. The results obtained from this a priori algorithm form an association rule "If you buy a cassava balado stick, then buy a balado corn stick" then from this association rule entrepreneurs can be helped in selling products that tend to be bought by many consumers. The last stage is tested from manual calculations ranging from support, confident to elevator with calculations on the web. The test results obtained that manual calculations and calculations on the web have the same value.
The Roles of Subjective Norms and Accessibility in the Acceptance Model of Koperasi Karunika Online Application Tantri, Sakina Nusarifa; Patiro, Shine Pintor Siolemba
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.3590

Abstract

The massive change from the offline to online era is a sign of digital disruption. One of the organizations that has also been affected is Koperasi Karunika. The purpose of this study is to refine TAM model by adding two antecedents namely accessibility and subjective norm to explain and predict the intention to use online saving and loan application in Koperasi Karunika. In this quantitative study, the variables are explored using online survey. The numbers of respondents in this study is 62 participants. The data were analyzed using SEM PLS. The refinedt model of the TAM used in this study is appropriate but only partially because not all of the proposed hypotheses are supported by the data. Subjective norm was found to be significantly affecting the intention to use, while accessibility was found to be no effect on intention to use the online saving and loan application.
Literature Review: Characteristics of Digital Leadership in Digital Transformation Ridha, Rizkillah; Susanto, Tony Dwi; Subriadi, Apol Pribadi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.3796

Abstract

Digital transformation has recently created significant research interest due to its acceleration across industry sectors. However, the existing literature on digital transformation that addresses digital leadership characteristics is insufficient to provide a comprehensive understanding. This research explores the characteristics, traits, and skills of digital leadership. The research methodology used a systematic literature review summarizing 30 articles from Scopus-indexed journals. Characteristics are obtained from citations from previous research that discusses digital transformation leadership. The results of this study explain that digital leadership characteristics consist of twenty different traits, seven of which are characteristics of digital leaders that are important for the effective implementation of digital transformation. As such, these characteristics can reflect the significance of digital leaders in achieving digital transformation goals at the human and organizational levels.
Human Resource Information System in SU II Sub-district Palembang Yulia, Indah Yulia; Abdillah, Leon Andretti
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.3688

Abstract

Advances in information technology and the internet make it very easy for a person to get information. Web-based information systems also play an important role in an organization, including Employee Promotion, Mutation, and Pension Information Systems in SU II District, Palembang City. The system was developed using the PHP programming language, MySQLi database, and Web Engineering methods. This web-based system can facilitate the General and Personnel Section in carrying out their duties and functions in processing data quickly with a responsive and user-friendly display so that it can be accessed on desktop and mobile devices and also it is equipped with a feature to send notifications to Email and WhatsApp. Another advantage of this web-based information system is equipped with a feature to send barcodes from important Decision Letters as a security measure in maintaining the confidentiality of important documents.
Application of the Finite State Automata (FSA) Method in Indonesian Stemming using the Nazief & Adriani Algorithm fitriana, lady agustin; Mustopa, Ali; Firdaus, Muhammad Rifqi; Dahlia, Rizka
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.4038

Abstract

Language is a communication tool commonly used in everyday life. Each country has a different language with predetermined rules. For instance, in the Indonesian language, there are approximately 35 official affixes mentioned in the Big Indonesian Dictionary. These affixes include prefixes (prefixes), infixes (insertions), suffixes (suffixes), and confixes (a combination of prefixes and suffixes). In Information Retrieval, there is a stemming process, which is the process of converting a word form into a base word or the process of transforming variant words into their base form. The theory of language and automata is the foundation of the computer science field that provides the basis for ideas and models of computer systems. In the implementation of the research, several stages were carried out, such as explaining the Nazief & Adriani stemming algorithm, finite state automata, creating pseudocode, and testing using a web-based system, resulting in affixed words becoming the correct base words with 20 affixed words. The results obtained from reading this web-based system, the base word "cinta" (love) used as a test yielded accurate results in accordance with the concept of the Nazief & Adriani stemming algorithm. There are some weaknesses in stemming from suffixes, and the solution is to perform stemming from the prefix position (Prefix).
Integrated Identity Tag System for Biodiversity Collections in Indonesian Botanical Garden Using QR Code Apriyanto, Heri; Anggraeni, Citra Dewi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.3225

Abstract

In the year 2023, Indonesia has more than 40 botanical gardens. The garden has an essential role as the last defence in terms of plant conservation in Indonesia. However, some problems are commonly faced in the daily management process of plant collections, especially in the inspection of plant collection activity. There are no proper records of inspection activity, wrong identification of plant collection identity, inefficient reporting system, and the lack of visualisation documentation are part of the issues. Considering the essential inspection activity of plant collection in terms of conservation in the botanical garden, the use of a QR code that is integrated into the information system of plant collection management could be an alternative to be implemented to solve the issues. The implementation of the QR code can help to identify plant collection identity, history of collection and reporting process. Every plant collection will have an identity card with a QR code. Inspection officers can access the plant collection data by scanning the QR code using a smartphone. Thus, wrong identification could be minimised, reporting process could be more efficient, and inspection activity could be recorded as a history of plant collection. In addition, basic information about plant collection can also be accessed by visitors to educate them about biodiversity and conservation.
Nighttime Image Enhancement: A Review of Topical Concepts Basheer, Ola; Al-Ameen, Zohair
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.3938

Abstract

With the increasing spread of nighttime images and their importance in human lives, and the development of computer vision, producing images with the highest possible quality is paramount. Nighttime images have been improved over the past decades by introducing many methods, each of which uses different techniques to enhance the quality of such images that have many degradations, such as poor illumination, uneven lighting, low contrast, widespread noise, and unnatural colors. This paper reviews twelve modern-day algorithms that can be used to enhance nighttime images by presenting the concepts, work mechanisms, processing abilities, and performance evaluations for each algorithm. Likewise, these algorithms are evaluated using three metrics with their processing times, and the advantages and disadvantages of each algorithm are given. Such a review can help researchers understand which concepts to select for development, which drawbacks to avoid when developing an algorithm in this field, and what the currently available concepts are.
Speed Bump System Based on Vehicle Speed using Adaptive Background Subtraction with Haar Cascade Classifier Zulfikri, Muhammad; Kusuma, Wirajaya; Hadi, Sirojul; Husain, Husain; Hammad, Rifqi; Mardedi, Lalu Zazuli Azhar
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.3921

Abstract

Driving at high speed and recklessly is the main cause of traffic accidents. In several places speed bumps are installed as a medium to warn drivers to slow down the speed of the vehicle, but the installation of speed bumps in several places has become a problem in itself with inconvenience for drivers traveling at low speeds, so it is necessary to develop an intelligent system to warn drivers when speeding. vehicles break safety boundaries, making drivers safer and more comfortable. At the vehicle identification stage, a combination of the Adaptive Background Subtraction method with the Haar Cascade Classifier is proposed, and vehicle speed estimation is carried out by calculating the time difference in the detection area or Region of Interest (ROI). Testing was carried out using traffic videos with three conditions, namely day, evening and night, with each condition using the same object data, namely 55 images of car objects. The proposed method produces car detection accuracy with an average of 85% and MSE 0.5 in vehicle speed measurements.

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