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All Journal Jurnal Masyarakat Informatika MATEMATIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi INOVTEK Polbeng - Seri Informatika Indonesian Journal of Medicine JURTEKSI J-Kesmas: Jurnal Kesehatan Masyarakat (Indonesian Journal of Public Health) Journal of Soft Computing Exploration Journal of Renewable Energy, Electrical, and Computer Engineering Journal of Indonesian Health Policy and Administration Scientific Journal of Informatics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Integra: Journal of Integrated Mathematics and Computer Science
Aris Puji Widodo
Undip
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Health Professions Mathematics Medicine & Pharmacology Public Health

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The Effect of Physical Exercise on Quality of Life of Breast Cancer Survivors: A Systematic Review Jadmiko, Arief Wahyudi; Kristina, Tri Nur; Sujianto, Untung; Prajoko, Yan Wisnu; Dwiantoro, Luky; Widodo, Aris Puji
Indonesian Journal of Medicine Vol. 6 No. 4 (2021)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (31.337 KB)

Abstract

Background: Exercise generally improves the quality of life (QoL) in adult populations especially for patients with chronic health problems such as breast cancer. The purpose of this study was to investigate the effect of physical exercise/activity on the quality of life of breast cancer survivors. Subjects and Method: This was a systematic review study that used articles from online data­bases, such as  PubMed, Science Direct, ProQuest dan Medline, which was published from 2000 to 2021. The author used keywords of “physical exercise”, “physical activity”, “quality of life”, “breast cancer survivor”. The dependent variable was quality of life. The independent variable was physical exercise/ activity. As many as 5 articles were selected for this study from 837 articles located in South Korea, Iran, Malaysia, and China.Results: Moderate or high levels of physical activity had positive relationship on the quality of life related to overall physical health among breast cancer survivors.Conclusion: Moderate to high physical activity improve the quality of life among breast cancer survivors.Keywords: physical exercise, physical activity, quality of life, breast cancer survivor Correspondence: Arief Wahyudi Jadmiko. Nursing Department, Faculty of Health, Universitas Pembangunan Nasional Veteran Jakarta. Jl. Raya Limo Depok 16515 West Java, Indonesia Email: ariefw­jadmiko­@gmail.com. Mobile: 085647213628. ORCID ID https://orcid.org/0000-0002-9691-0986.Indonesian Journal of Medicine (2021), 06(04): 377-386https://doi.org/10.26911/theijmed.2021.06.04.03
Benefits and Challenges of ERP Implementation in Higher Education Institutions: A Systematic Literature Review Sholeh, Moch. Badrus; Samodra, Renita Fauziah; Widodo, Aris Puji
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss1pp21-33

Abstract

This study aims to identify the benefits and challenges of Enterprise Resource Planning (ERP) implementation in higher education institutions through a Systematic Literature Review (SLR). Based on the analysis of 37 relevant articles, the findings show that ERP implementation provides significant benefits, such as reducing operational costs, increasing efficiency, and enhancing decision-making. However, challenges such as system complexity, resistance to change, and technological infrastructure limitations remain major obstacles. To address these challenges, increased training, coordination, and management support are required, along with adequate budget allocation. The findings of this study are expected to provide higher education management with insights into the importance of thorough planning in ERP implementation to achieve successful outcomes.
Komparasi COBIT 2019 dan ISO 27001 Terhadap Audit ISO 21001 untuk Akurasi Rekomendasi Audit SI/TI Pendidikan Anggraeni, Retno Setya; Rochim, Adian Fatchur; Widodo, Aris Puji
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss1pp142-151

Abstract

ISO 21001 refers to the standardization of educational organization management and is an international standard, making it mandatory to be implemented in higher education institutions. Along with this, the rapid development of Information Systems and Information Technology (IS/IT) today has changed the paradigm of education and provided a new perspective that IS/IT support not only aids the learning process but also various other areas in higher education. Standardization focusing on this field includes IT Governance (ITG) COBIT 2019 and ISO 27001. Therefore, the researcher conducted a study to analyze which tools are most correlated with the implementation of ISO 21001, so that the findings of this research can provide recommendations that can serve as a basis for policy in selecting the appropriate standardization tools. The research method used is ex post facto. The analysis was conducted using SmartPLS. The researcher designed a questionnaire instrument to be distributed to the population of the Department of Computer Engineering and Informatics Engineering, UNDIP Semarang. The results of the questionnaire will then be tested for validity and reliability, followed by a correlation test while considering the T-Value. Based on the analysis results, it was concluded that both COBIT 2019 and ISO 27001 have an influence on ISO 21001. The influence of COBIT 2019 on ISO 21001 is significant, with a path coefficient and p-value of 0.000, while the influence of ISO 27001 shows a p-value of only 0.091.
COBIT 2019 Framework in IT Governance: A Systematic Literature Review of Implementation Challenges and Benefits Across Various Industry Sectors Antariksa, Muhammad Deagama Surya; Angin, Maria Perangin; Widodo, Aris Puji
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 1 (2025): March 2025
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v5i1.19501

Abstract

Information technology (IT) governance is a critical factor in ensuring that IT investments align with business objectives, improve operational efficiency, and mitigate risks across various industries. COBIT 2019, a widely used IT governance framework, has been adopted in numerous sectors to address these needs. This study explores the implementation of COBIT 2019 by conducting a systematic literature review (SLR) of 23 relevant articles published between 2020 and 2024, sourced from internationally indexed journals. The research focuses on identifying the challenges, benefits, success factors, and strategies to mitigate the issues encountered during the implementation of COBIT 2019. The findings indicate that COBIT 2019 has been successfully applied in diverse industries such as education, healthcare, logistics, and mineral mining, demonstrating its flexibility and adaptability to different organizational contexts. Key benefits include improved alignment of IT with business strategies, enhanced risk management, better resource optimization, and increased operational efficiency. However, challenges such as the complexity of the framework, limited resources, and a lack of understanding of the frameworks terminology have been identified. Successful implementation is largely dependent on strong management support, stakeholder engagement, and adequate resource allocation. Mitigation strategies such as ongoing training, development of comprehensive communication plans, and regular evaluation of IT governance practices have been suggested to overcome these challenges. This study provides practical insights into the implementation of COBIT 2019, offering organizations guidance on maximizing its benefits while addressing the barriers to successful implementation.
Analysis of the Correlation Between Playtime, Design, and Game Mechanics to Positive Reviews on the Fighting Games Genre using Large Language Models Vicoriza, Vicoriza; Aryotejo, Guruh; Widodo, Aris Puji
Jurnal Masyarakat Informatika Vol 16, No 1 (2025): May 2025
Publisher : Department of Informatics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jmasif.16.1.72576

Abstract

The video game  industry is experiencing rapid growth, with the fighting game  genre remaining a favorite due to its tactical challenges and deep mechanics. This study explored the relationship between playtime, game design, and game mechanics to positive reviews from players, using Large Language Models (LLMs) for sentiment and emotion analysis. The data was collected from more than 200,000 Steam user reviews on 12  popular fighting games. The results show that the correlation between playtime and positive reviews tends to be weak, although in some titles, longer playing duration is associated with better sentiment. In terms of game design, players prefer games with fantasy settings  (92.34%), 2D graphics (94.21%), and anime visual style  (95.12%), which significantly drives positive reviews. In the mechanical aspects of the game, features such as multiple meters (93.11%), advanced blocking (93.56%), and wall boundaries (91.72%) get higher satisfaction, suggesting that the complexity and variety of mechanics can increase player engagement. LLM-based sentiment analysis  also reveals that technical factors play an important role in player perception. The most common complaints in negative reviews relate to lag, character balancing, and additional content quality (DLC).
Review of Systematic Literature about Sentiment Analysis Techniques Sasongko, Cornelius Damar; Isnanto, Rizal; Widodo, Aris Puji
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp227-236

Abstract

Sentiment analysis, also known as opinion mining, is an important task in natural language processing and data mining. It involves extracting and analyzing subjective information from textual data to determine the sentiment or opinion expressed by the author. With the advancement of technology and the widespread use of social media and online review platforms, it is increasingly important to understand users' opinions and sentiments regarding a particular product, service or issue. The purpose of this research is to present a comprehensive literature review on sentiment analysis techniques. This research utilizes the systematic literature review method. This method involves systematic steps in searching, evaluating, and analyzing relevant literature in the field of sentiment analysis. The literature search was conducted through scientific databases and other reliable sources. Relevant articles were then selected based on pre-determined inclusion and exclusion criteria. The data from the selected articles were then comprehensively analyzed to identify the sentiment analysis techniques used and the key findings in the research. The results show that there are various techniques and approaches that have been developed and tested in sentiment analysis, some of the commonly used techniques include rule-based methods, classification-based methods, and machine learning-based methods.
Resolving Data Imbalance using SMOTE for the Analysis and Prediction of Hate Speech Sentences Sutikman, Sutikman; Sutanto, Heri; Widodo, Aris Puji
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp198-203

Abstract

Hate speech is characterized as a form of communication that expresses hostility or discontent towards particular individuals, groups, or ethnicities, with the intent to belittle one party. This research aims to examine hate speech expressions on Twitter, assessing their categorization as hate speech through the application of machine learning methodologies. The study incorporates feature engineering techniques, such as Term Frequency-Inverse Document Frequency (TF-IDF) and the Synthetic Minority Over-sampling Technique (SMOTE), to mitigate challenges related to data imbalance. The machine learning models utilized include Logistic Regression (LR), Decision Tree (DT), Gradient Boosting (GB), and Random Forest (RF). Among these models, Logistic Regression (LR) demonstrated the highest efficacy, achieving an accuracy of 91.43%, precision of 88.83%, recall of 93.99%, and an F1 score of 97.10%.
Implementation of the Ensemble Machine Learning Algorithm for Student Dropout Prediction Analysis Winarsih, Winarsih; Sutanto, Heri; Widodo, Aris Puji
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp159-166

Abstract

Educational Data Mining provides an effective approach to tackle numerous issues within the education sector, including the capacity to perform predictive analyses regarding student attrition based on academic information. In this research, data from the Open University Learning Analytics dataset (OULAD), which is publicly accessible, has been employed, which encompasses student information collected during online learning. We apply various Machine Learning models, including Decision Trees, Naïve Bayes, Logistic Regression, and ensemble approaches like Random Forest and AdaBoost. Among the models tested, Random Forest (RF) achieved the highest accuracy of 89.37%, along with a precision of 89.57% and a recall of 93.86%, using the data splitting approach. When employing an alternative evaluation model, specifically K-Fold Cross Validation, the maximum F1 score achieved was 9.45%. In summary, the ensemble machine learning algorithm, specifically Random Forest (RF), exhibited strong performance in predicting student academic achievement quality.
Examining the Role of Personal Character in Indonesian Peer-to-Peer Lending Purwanto, Iwan; Isnanto, Rizal; Widodo, Aris Puji
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol15iss3pp297-307

Abstract

This research examines Indonesian P2P lending and bad loan management by analyzing borrower characteristics. The large value of problematic loans is a key signal for this investigation. The Big Five Personality Approach is used to survey P2P lending users. This study solely examines if the Big Five personality traits affect evaluation. On March 5–18, 2023, 17 P2P lending sites gathered data from 197 respondents for two weeks. Data validation continued until 11 respondents were pruned. The remaining 186 respondents' data was evaluated using SPSS. The management process yielded two hypothesis tests, the T-test and the F-test, which showed that the Big Five personality significantly affects present assessment activities. F-Test findings show the Big Five Personalities have a big impact concurrently. These two factors suggest that the Big Five Personalities may evaluate decision support systems for borrower recommendations.
Key Matrix Generation Using Random Functions in Hill Cipher Modulo 95 Cryptography Bahtiar, Nurdin; Widodo, Aris Puji; Puspita, Nikken Prima
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 1 (2025): March
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252111

Abstract

In symmetric cryptography, the confidentiality of the chosen key and the security of its delivery mechanism are paramount to minimize the risk of unauthorized disclosure. Typically, in such systems, the sender and recipient focus primarily on the message (plaintext and ciphertext) rather than the complexities associated with key management. This approach aims to alleviate the burden of selecting a suitable and robust key for communicating parties. This study introduces a Hill Cipher modulo 95 cryptography method employing a matrix-based key, where key generation is achieved through a quantifiable randomization algorithm. The developed 2x2 key matrix facilitates a substantial number of possible keys, specifically 954 (exceeding 81 million). The key matrix generation process incorporates several functions, including those for ASCII character conversion, prime number verification, relative primality checks, modulo arithmetic, inverse modulo computation, determinant calculation, and inverse matrix determination. To simulate the encryption and decryption process, a desktop application was developed using the Lazarus Development IDE version 3.6. The application demonstrates effective generation of the required key matrix.
Co-Authors Adi Wibowo Adian Fatchur Rochim Ahmad Zaini Alvianto, Muhammad Nur Hendra Anggraeni, Retno Setya Angin, Maria Perangin Antariksa, Muhammad Deagama Surya Arief Wahyudi Jadmiko Aryasa, Jiyestha Aji Dharma Bayu Surarso Catur Edi Widodo Dinar Mutiara Kusumo Nugraheni Dwiantoro, Luky Edi Suharto Eko Adi Sarwoko Eko Sediyono Fardana, Nouvel Izza Farid Agushybana Febriandi, Agistra Firdaus, Zulfia Firhan, Firhan Guruh Aryotejo, Guruh Heri Sutanto Heru Winarno Immanuel, Frans Indira, Zahrasita Nur Iwan Purwanto Jazi Eko Istiyanto Kusuma, Teja Kusworo Adi Nabiel Putra Adam, Nabiel Putra Nikken Prima Puspita Nurdin Bahtiar Oktaviana, Aulia Pamungkas, Ardian Pratomo, Annas Setyo R Rizal Isnanto Roziana Roziana, Roziana Samodra, Renita Fauziah Sanjaya, Daniel Robi Sasongko, Cornelius Damar Setyo Purnomo Sholeh, Moch. Badrus Siahaan, Josua Freddy Orlando Sodik, Ilham Akbar Sutikman, Sutikman Sutopo Patria Jati Tanjung, Dio Febrilian Tri Nur Kristina Untung Sujianto Vianita, Etna Vicoriza, Vicoriza Wicaksono, Januar Agung Winarsih Winarsih Woro Ningrum, Eva Liyan Yan Wisnu Prajoko Yuliani Setyaningsih Zukhruf, Afriza Meigi