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INDONESIA
Indonesian Journal of Information System
Published by Universitas Atma Jaya Yogyakarta
ISSN : 26230119     EISSN : 26232308     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 192 Documents
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An Examination of the Human Factors in Cybersecurity: Future Direction for Nigerian Banks Ajufo, George; Qutieshat, Abubaker
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7278

Abstract

Information and communication technology has become necessary for conducting business operations and ensuring business survival in Nigerian banks. However, this has come with some encumbrances, as this technology is vulnerable to attacks due to technical or human factors. These human factors have been very challenging for organizations due to their multi-dimensional nature and the fact that humans have been responsible for most cybersecurity incidents. Resolving issues arising from cybersecurity incidents is expensive and time-consuming. Therefore, this study is crucial as it will enable Nigerian banks witnessing increased attacks to take preventive measures and reduce the enormous expenditure required for remediation. This study adopts a literature review approach, reviewing previous studies on human factors in cybersecurity to determine the factors responsible for successful cyber-attacks and their suggested mitigations. The findings categorize these human factors into social engineering, poor information security culture, risky password practices, stress, burnout, and security fatigue. The study presents mitigations but notes that training and cybersecurity awareness are the most common reoccurring pre-emptive actions recommended. This research is significant as very little prior research has been conducted in this area targeted at the Nigerian banking sector. Practically, the findings of this study are expected to point Nigerian banks toward the critical human factors that they need to concentrate on to minimize the success rate of cyber-attacks and reduce the associated costs of recovering from these attacks.
Mobile Payment Adoption in Generation Z Using Extended Unified Technology Acceptance and Use of Technology Alfa'izy, Erick Ahmad Fahmi; Pramana, Edwin; Gunawan
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7340

Abstract

This study investigates the possible factors determining the success of m-payment adoption in Generation Z using the basic Unified Technology Acceptance and Use of Technology (UTAUT) model based on previous research. A theoretical model derived from previous research that combines factors from the acceptance model of UTAUT with relevant m-payment factors (Trust, Perceived Security, Network Externalities). The sample includes 735 participants from three cities in Indonesia. Structural equation models are used to analyze and develop theoretical models. Only four hypotheses can be accepted based on the analysis of the seven hypotheses proposed. Trust, Perceived Security, Performance Expectancy, and Social Influence positively and significantly impact Behavioral Intention. Meanwhile, Facilitating Conditions, Effort Expectancy, and Network Externalities are insignificant to Behavioral Intention. There are many research models for adopting m-payments, but in developing countries, including Indonesia, the cellular penetration rate is already very high. However, the acceptance of m-payments in various trade transactions is still embryonic, especially in Generation Z. Therefore, this research presents a comprehensive investigation of the factors that influence the adoption of m-payments in Generation Z in Indonesia.
User Acceptance for Multitask IoT Monitoring and Controlling System for Salt Ponds Yudantoro, Tri Raharjo; Hamida, Busra Nur; Febriyanti, Eka; Wiktasari, Wiktasari; Pernanda, Suko Tyas; Prabuwono, Anton Satria
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7479

Abstract

The process of making salt is still done manually by filling water into reservoirs and plots which require salt farmers to visit their farms periodically. This is mainly because the speed of the salt crystalization process is always inconsistent due to salt concentration in seawater and the weather. This study aims to build a new prototype of a water level monitoring system in reservoirs and plots in salt ponds then measure the water's salinity value, which will be reported to the farmers. The method used in this research is prototyping, which includes system requirement analysis, rapid design, prototype building, system evaluation, and system  improvement. The system was tested using the black box method, namely testing all system functionality and determining user satisfaction with questionnaires. The functionality test results, including monitoring the water level and the pump control, show that the prototype functions correctly. The designed system can send information in the form of water level values in reservoirs, water levels in plots, and salinity values with linear sensor accuracy with measurement results with conventional measuring instruments with standard error values of 0.485, 0.44, and 0.72, respectively. Applying this system will ease farmers’ monitoring of water levels and controlling irrigation in reservoirs and plots.
Heart Rate and Body Temperature Tracking Application Based on Fuzzy Logic Nur Aziz Thohari, Afandi; Wahyu Wibowo, Angga; Karima, Aisyatul; Hestiningsih, Idhawati; Santoso, Kuwat; Abdollah, Faizal
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7481

Abstract

Temperature and heart rate are indicators of health. It is necessary to monitor heart rate and body temperature to prevent the spread of a virus or disease. In most cases, heart rate and body temperature are monitored independently, and the patient cannot view a record of previous examinations. This study uses fuzzy logic to develop an application for monitoring heart rate and body temperature. It can monitor heart rate and body temperature in real-time, store a history of previous examinations, and use fuzzy logic to diagnose body conditions based on heart rate and body temperature data. Based on test results, the sensor reading error rate for heart rate is minimal at 0.68 and for body temperature at 0.18. The accuracy of fuzzy diagnosis of the patient's body condition is one hundred percent. The performance indicator for the application is excellent, the completion rate is 100 percent, and the time-based efficiency is 93%. The results of the user satisfaction test indicate that most users are pleased with the application's usability. The average value for measuring user satisfaction is 80%, with the highest result of the five measurement criteria being 89.6% for the ease-of-use criterion.
SVM-PSO Algorithm for Tweet Sentiment Analysis #BesokSenin Susanto, Anggita Dewi Novia Wardhani; Hari Suparwito
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7551

Abstract

The hashtag #BesokSenin is a hashtag that is often trending on Indonesian Twitter on Sunday evenings. Many Indonesian Twitter users expressed their feelings about welcoming Monday using the hashtag #BesokSenin. The tweet containing #BesokSenin is known to be a motivational sentence to welcome Monday full of joy or a disappointed sentence because you have to return to your routine after taking a holiday on Saturday and Sunday. This study conducts sentiment analysis to find out the opinions of netizens on welcoming Mondays. The tweet data used is tweet data with the hashtag #BesokSenin and the keywords school, work, assignments, and college. The classification method used is the Support Vector Machine algorithm, which is optimized using the Particle Swarm Optimization method to optimize the performance of the Support Vector Machine algorithm. Results of 80% accuracy were obtained by applying the Support Vector Machine model based on Particle Swarm Optimization. This accuracy is superior to 1% compared to the results of accuracy using the usual Support Vector Machine model, which equals 79%. This shows that Particle Swarm  Optimization can optimize the accuracy of the Support Vector Machine algorithm.
Intelligent Prediction and Detection of Diabetes Mellitus Using Machine Learning Handoko, Slamet; Sukamto; Triyono, Liliek; Hestiningsih, Idhawati; Sato-Shimokarawa, Eri; Lavindi, Eri Eli
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7602

Abstract

One of the diseases with a fairly high number of sufferers today is Diabetes Mellitus. The increase in the number of people with diabetes is caused by delays in diagnosis and also difficulties in monitoring the blood sugar level. Therefore, a solution is needed to overcome this problem, namely a blood sugar level monitoring system to predict and detect. The blood sugar level monitoring system is an intelligent system that can monitor blood sugar levels in Diabetes Mellitus patients. This system aims to make it easier for patients to check blood sugar levels regularly, to minimize the occurrence of increased blood sugar levels that aggravate the disease. Moreover, machine learning algorithms are a viable method used in recent studies for analyzing, predicting, and classifying health data while improving the health conditions of telemonitoring and telediagnosis. The main purpose of this article is to employ machine learning algorithms for blood sugar level classification in real time. The results of this study indicate that the system can be used to monitor blood sugar levels. The results of the implementation of the system that can be used by users include monitoring the results of measuring blood sugar levels. Keywords: Monitoring Machine Learning, Prediction, Diabetes Mellitus, Data Mining
Computer Network Design and Applications for West Java Legislative Elections Usman, Muhammad Lulu Latif; Supriyadi, Asep Adang; Wijaya, Satria Dhaniswara Rahsa; Herdianto, Bachtiar
Indonesian Journal of Information Systems Vol. 7 No. 1 (2024): August 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v7i1.5420

Abstract

Legislative elections or Pileg are an annual schedule that is routinely held in Indonesia for five years. The concept of technology 4.0 has a huge opportunity to be applied in the legislative election process in this modern era. Legislative elections that use digital devices connected in such a way have more advantages than legislative elections that use conventional methods. The application of technology 4.0 in legislative elections has advantages in terms of effectiveness, data processing speed, and costs. The design of the legislative election system is made using a network where each polling station will be provided with one server to accommodate votes at the polling station. Then the server synchronizes the data to a central server to calculate the final results obtained. The server is built using the text-based Ubuntu Linux operating system. The application used is web-based, with the programming languages used being HTML, PHP, CSS, and Javascript. The test data shows that the time required for the system to complete each stage of the legislative election process is relatively faster than conventional legislative elections. So it can be concluded that the design of the legislative election system has met the requirements to accelerate the legislative election process. This research uses an SDLC system with a prototype model. Tests are carried out using BlackBox testing to test the suitability of the application with application access.  
Driving Factors of Cloud Accounting Implementation in Small and Medium Enterprises (SMEs): Evidence from Indonesia Hamzah Ritchi; Yahya, Bernardo; Roshi Dwiokta; Sugianto, Larasati P.M.
Indonesian Journal of Information Systems Vol. 6 No. 2 (2024): February 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i2.6827

Abstract

This paper attempts to identify key factors that affect Small and Medium Enterprises (SMEs) decision in implementing cloud accounting system on their business, in particular Indonesia’s Bandung region. Bandung greater area has long been recognized as among the amiable region for SME development in the economy. This research qualitatively analyzed primary data obtained through a series of in-depth interviews with SMEs key personnel regarding the opportunity of cloud-based accounting. The informants were eight key SMEs personnel selected for their relevant knowledge and experience in accounting and associated technology use. An expert-based validation was then conducted on factors that were successfully identified at coding stage. The findings indicate that there are seven decisive factors which influence SMEs decision including security, usability, human resource, time, communication, cost, and functionality. This research offers an insight regarding the implementation of cloud accounting in SMEs by filling the identified gap to the body of literature in cloud accounting and SMEs in particular developing economy.
Virtual Overseer for Examination Using Artificial Intelligence VARUN R; Pranav P Rao; Manohar S N; Nagsharan A
Indonesian Journal of Information Systems Vol. 6 No. 2 (2024): February 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i2.7311

Abstract

The Virtual Overseer for Examination using AI is a proposed system that utilizes artificial intelligence (AI) to monitor and supervise online exams. The system aims to enhance the credibility and integrity of online exams by detecting and preventing cheating behaviors such as copying answers or using unauthorized materials. The proposed system utilizes computer vision and machine learning algorithms to analyze exam sessions in real time and flag suspicious behaviors for review by human proctors. The system also employs facial recognition technology to authenticate test-takers' identity and ensure that the right person is taking the exam. Overall, the Virtual Overseer for Examination using AI has the potential to revolutionize online education and assessment by providing a secure and reliable platform for conducting remote exams.
The Addition of Adaboost to The Use of The C4.5 Algorithm to Improve The Accuracy of Classification of Study Interests Fahriah, Sirli; Nur Diyana Kamarudin; Liliek Triyono; Adhy Rizaldy
Indonesian Journal of Information Systems Vol. 6 No. 2 (2024): February 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i2.7588

Abstract

Specialization is one of the important things in focusing the student's field of study. At one university that has a faculty of computer science, there is an Informatics Engineering undergraduate study program which is divided into two specializations, namely intelligent systems and software engineering design. At one university that has a faculty of computer science, there is a bachelor's program in Informatics Engineering which is divided into two specializations, namely intelligent systems and software engineering design. students find it difficult to choose one of the specializations in the informatics engineering study program. To overcome these problems, the authors provide solutions in the form of ideas that can recommend students in determining specialization. In this problem, the algorithm that will be used is the C4.5 algorithm based on forward selection plus adaboost. The results of the specialization classification use the selected attributes and iterate over the cross-validation so as to produce the right accuracy. Testing the C4.5 algorithm produces an accuracy of 93.89% and the C4.5 algorithm based on forward selection produces an accuracy of 94.44% while using the C4.5 algorithm based on forward selection with the addition of adaboost produces an accuracy of 94.63%. Based on these tests, it proves that there is an increase in accuracy by adding selection and adaboost features to the C4.5 algorithm.

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