cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Adie Wahyudi Oktavia Gama
Contact Email
journal@undiknas.ac.id
Phone
+6282236805788
Journal Mail Official
journal@undiknas.ac.id
Editorial Address
Jl. Bedugul No.39, Sidakarya, Kec. Denpasar Sel., Kota Denpasar, Bali 80224
Location
Kota denpasar,
Bali
INDONESIA
TIERS Information Technology Journal
Published by Universitas Pendidikan Nasional
ISSN : 27234533     EISSN : 27234541     DOI : 10.38043
Core Subject : Science,
Computer Science & IT
TIERS Information Technology Journal memuat artikel Hasil Penelitian dan Studi Kepustakaan dari cabang Teknologi Informasi dengan bidang Sistem Informasi, Artificial Intelligence, Internet of Things, Big Data, e-commerce, Financial Technology, Business Digital
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 120 Documents
 8   9   10   11   12 
Evaluation of IT Governance in Indonesia's One-Door Investment and Integrated Services Institution using COBIT 5 Satria, Wahyu Indra; Ilmi, Farwis; Indah Pratiwi, Nuning
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i2.5680

Abstract

This research aims to evaluate the information technology governance at Indonesia's One-Door Investment and Integrated Services Institution using the COBIT 5 framework. COBIT 5 is a comprehensive framework that provides a model for managing and governing information technology within an organization, to ensure the achievement of strategic and operational objectives. The research was conducted through several stages, including identifying relevant information technology processes, data collection through questionnaires and interviews, and analysis of the evaluation results using capability levels provided by COBIT 5 framework. The study results indicate that most information technology processes at Indonesia's One-Door Investment and Integrated Services Institution are at capability levels that require improvement, particularly in information technology risk management, performance management, and internal controls. Several recommendations are provided to enhance information technology governance at Indonesia's One-Door Investment and Integrated Services Institution, such as strengthening information technology policies and procedures, increasing human resource capacity through continuous training, and implementing regular monitoring and evaluation systems. By adopting these recommendations, it is expected that information technology governance at Indonesia's One-Door Investment and Integrated Services Institution can be optimized to support the achievement of organizational goals better and improve public services for the citizens.
The Integration of Artificial Intelligence in Project Management: A Systematic Literature Review of Emerging Trends and Challenges Hashimzai, Irshad Ahmed; Mohammadi, Mohammad Qias
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i2.5963

Abstract

The integration of Artificial Intelligence (AI) in project management has emerged as a transformative approach, revolutionizing traditional practices by enhancing efficiency, decision-making, and risk management. Despite its potential, organizations face significant challenges, including high implementation costs, concerns over data privacy, and resistance to change, which hinder effective adoption. The purpose of this study is to explore emerging trends, key applications, and challenges of AI in project management, while also evaluating its impact on improving risk management, resource allocation, and decision-making in complex projects. The study employs a systematic literature review (SLR) methodology, adhering to the PRISMA protocol, to analyze peer-reviewed articles from MDPI, IEEE, Science Direct, and Emerald databases, published between 2018 and 2024. Keywords combined with Boolean operators were used to filter relevant studies, ensuring a balanced and focused selection of high-quality publications. The results reveal AI's capacity to proactively identify risks, adapt to dynamic project environments, and optimize resource allocation, ultimately enhancing decision-making efficiency and project outcomes. However, challenges such as implementation costs and resistance to organizational change remain critical barriers. The implications suggest that while AI significantly enhances project management, addressing these challenges is essential for broader adoption and scalability. This research concludes that AI is a game-changer in project management, offering insights into emerging trends and critical challenges. Future research should focus on developing scalable, cost-effective AI solutions to overcome adoption barriers, thereby extending the benefits of AI integration across diverse industries.
Forward Chaining Method for Diagnosing Diseases and Pests in Melon Plants Dapiokta, Jum; Nurdiansyah, Rizky; Muris, Anggeraeni Agustin; Kuswanto, Joko
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i2.6018

Abstract

There are many problems encountered in the field of agriculture, for example problems about diseases and pests in melon plants. Experts or experts in the field of agriculture rarely need to build a system that is able to adopt human processes and ways of thinking in the form of an expert system. The purpose of this study is to build an expert system to diagnose diseases and pests in melon plants using the forward chaining method. A reasoning that starts from facts first to test the correctness of a hypothesis. The system was tested using the black box testing method which was tested on experts and melon farmers. Based on the results of testing using the black box testing method tested on experts and farmers, the results of the assessment were obtained that the expert system for diagnosing diseases in melon plants was proven to run well as expected with 100% validation. The end result of this expert system is to make it easier for users to carry out the consultation process by providing a list of indication of diseases and pests experienced. Then the control of the type of disease and pest will be displayed according to the selected indication. In addition, this expert system also makes it easier for admins to update data such as disease data, indication and control. This expert system application program is also not only beneficial for experts but can also be useful for farmers that ordinary people who do not understand a little about melon plant diseases and pests.
Decision Support System for Laptop Selection Recommendations Using the Weigted Product (WP) Method Muris, Anggeraeni Agustin; Dapiokta, Jum; Wijaya, Johan Eka; Yunarti, Yelmi; Kuswanto, Joko
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i2.6028

Abstract

The many types of specifications, colors and brands of laptops are complicated and confusing for ordinary people who are going to buy laptops. The reason is, there are many variants of laptops on the market with different specifications. To help potential consumers in choosing a laptop that suits their needs, a decision support system (SPK) is needed that can provide the most appropriate laptop recommendations. This study discusses the decision support system for laptop selection recommendations using the Weighted Product (WP) method. This method is used to help consumers choose a laptop that suits their needs based on predetermined criteria, such as processor, RAM, Storage, and Price. After a search of the vector to get the ranking, the largest vector value of 0.124 was obtained on Sony, Appel, and Dell Alternatives to be recommended in the selection of laptops. Based on the results of the research, it can be concluded that the decision support system (SPK) with the Weighted Product (WP) method can provide laptop recommendations that suit the needs of users. This research provides benefits for users in choosing the right laptop that suits their needs. In addition, this research can also be the basis for the development of a decision support system for the selection of laptops or computers in other fields.
Experimental Comparison of Encryption Algorithms On Smart Devices Frugh, Qurban Ali; Naseri, Mohammad Fahim; Hakimi, Musawer
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i2.6039

Abstract

Now, the technological environments rely on a large number of users and devices interconnected in such a way as to be able to share information and exchange resources. For such reasons, security becomes of prime importance inside these networks. Especially, encryption algorithms widely used in smart metering systems form the very backbone of ensuring security. It is unique according to every single parameter: the level of security achieved, speed, operational complexity, length, and type of key used. A comparison of performance and throughput for the most used encryption algorithms, such as AES-128, AES-192, RC4, Blowfish, and ECDSA, is presented here. Such devices, for instance, smart meters, usually represent very resource-constrained computational capability, memory, and data transfer. For these reasons, the experiments investigate performance impacts of using different encryption algorithms on a smart meter environment in a scaled setup. Experiments were run on a laptop device and then downscaled according to the limitation characteristics of the smart meter target device. As for the scaling, it has been performed concerning key factors: CPU of the smart meter, RAM, and cache memory. Execution times of the encryption and decryption processes were measured, as well as the throughput of messages for various file sizes. Quantitative key results obtained included: RC4 with a throughput of 25.37 Kbytes/sec, whereas AES-128 has 4.87 Kbytes/sec, while in ECDSA-256 the performance is much lower: its verification throughput amounts to 0.0023 Kbytes/sec. The results showed significant variations in performance, speed, and throughput between these algorithms. Even considering small smart devices, the encryption and decryption processes yielded efficient throughputs. These findings underscore the importance of choosing the right encryption algorithm for smart meters, balancing both security requirements and resource limitations to ensure optimal performance.
Implementation of Android-Based Learning Media in ICT Subject for Grade VII at SMP Negeri 11 OKU Sutiono, Edi; Joko Kuswanto; Devana, Trisilia
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i2.6047

Abstract

The learning process in schools is often less interesting because the methods used tend to be conventional and less relevant to the learning style of the current digital generation. Therefore, innovative learning media that can support the learning process is needed, one of which is android-based. This research aims to develop android-based learning multimedia in grade VII ICT subjects at SMP Negeri 11 OKU. The research method used is development research with the ADDIE model approach. Based on the several stages of testing carried out, data was obtained of 100% for its appearance or function and data on student responses were obtained of 83.4% with very good criteria. Based on the results of the study, it can be concluded that multimedia learning is feasible and can be used as an alternative media during the learning process. The existence of android-based learning multimedia can motivate students to learn and enable students to learn independently according to their abilities anywhere and anytime.
A Comparative Study of Three Decision Support Methods: Proving Consistency in Decision-Making with Identical Inputs Nasyuha, Asyahri Hadi; Dhuhita, Windha Mega Pradnya; Harmayani, Harmayani; Marwanta, Y. Yohakim; Chung, Meng-Yun; Ikhwan, Ali
TIERS Information Technology Journal Vol. 6 No. 1 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i1.6157

Abstract

Decision-making in complex environments often requires evaluating multiple alternatives against various criteria, which can sometimes result in inconsistent outcomes when different decision support methods are employed. Such inconsistencies pose significant challenges for decision-makers in determining the most reliable methodology. To address this gap, the present study examines whether three widely adopted decision support methods, Simple Additive Weighting (SAW), Simple Multi-Attribute Rating Technique (SMART), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), produce consistent results when applied to identical input values, criteria, and alternatives. The primary aim is to explicitly assess the consistency of decision-making outcomes across these methods under controlled conditions. The evaluation was conducted using a set of alternatives, with A1 consistently emerging as the top choice. Specifically, the SAW method produced a final score of 0.8998 for A5, the SMART method assigned a value of 0, and the TOPSIS method yielded a closeness coefficient of 0.826 for the same alternative. The unique contribution of this study lies in its systematic, side-by-side comparison of SAW, SMART, and TOPSIS using precisely the same dataset, an approach seldom addressed in prior research. By empirically demonstrating that these methods generate identical rankings under strictly controlled scenarios, this research provides new evidence supporting the methodological robustness and practical interchangeability of these widely used decision support techniques. The findings underscore the reliability of these methods in facilitating objective decision-making and offer valuable guidance for researchers and practitioners in selecting the most suitable DSS method without concern for inconsistent results.
Optimizing Socioeconomic Features for Poverty Prediction in South Sumatera Terttiaavini, Terttiaavini; Heryati, Agustina; Saputra, Tedy Setiawan
TIERS Information Technology Journal Vol. 6 No. 1 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i1.6244

Abstract

Poverty in South Sumatera remains a complex challenge influenced by socioeconomic factors. Traditional methods often fail to capture nonlinear relationships critical for accurate prediction. This study enhances poverty prediction by optimizing feature engineering using 32-variable socioeconomic data from South Sumatra for the years 2019 to 2023. Data preprocessing included cleaning, imputation, normalization, and outlier handling. Feature aggregation created composite indices: Education Index (P1, P2, P3), Health Index (AH1–AH4), Economic Index (IE, GR, AI, EG), and Healthcare Workforce Index (HW1–HW9). Feature interaction derived ratios such as Income vs. Economy (AN/Education Index), Infrastructure vs. Health (road length/Healthcare Workforce Index), and Unemployment vs. Workforce (HI/AT), highlighting interdependencies. Dimensionality reduction (PCA) and Lasso Regression selected eight key predictors, including Year and Poverty Level. Among tested models, Random Forest performed best (R²=0.7244, MAE=0.2489). SHAP analysis identified Education and Economic Indices as top predictors. Optimized feature engineering improved model accuracy and interpretability, supporting targeted poverty reduction strategies in South Sumatera.
Hydrogen Supply Chain Network Optimization for Supporting Urban Hydrogen Vehicle Infrastructure Development Anasrul, Rahmad Fajri; Sopha, Bertha Maya
TIERS Information Technology Journal Vol. 6 No. 1 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i1.6453

Abstract

This study addressed the rising concerns regarding greenhouse gas emissions and the depletion of fossil fuel resources by exploring hydrogen as a clean energy alternative. The Indonesian government established a national roadmap that prioritized the transportation sector as a starting point for hydrogen deployment. The objective of this research was to design and optimize a hydrogen supply chain network in Jakarta, a densely populated urban area considered strategic for early adoption. The study applied a two-stage approach. First, potential locations for Hydrogen Refueling Stations (HRS) were pre-selected based on spatial and demographic scoring using a modified gravity model. Then the second, the optimal placement of HRS and hydrogen suppliers was determined through a Mixed-Integer Linear Programming (MILP) method. The entire modeling and optimization process was implemented in Python, with MILP solved using the Gurobi optimizer. A total of 216 existing gas stations were assessed and grouped into five priority levels. The optimization was conducted for three planning periods: 2026-2030, 2031-2035, and 2036-2040. The results showed that integrating new HRS into existing infrastructure reduced land use and investment costs. Sensitivity analysis indicated that daily HRS capacity, hydrogen demand, and capital cost were the most influential factors. The study concluded that this integrated approach provides an efficient, flexible, and sustainable foundation for future hydrogen infrastructure development in urban regions.
Ambidextrous AI Governance Design Based on COBIT 2019 Traditional and DevOps for TelCo’s Digital Transformation Putri, Nasywah Nabilah; Mulyana, Rahmat; Adi, Taufik Nur
TIERS Information Technology Journal Vol. 6 No. 1 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i1.6610

Abstract

Artificial intelligence (AI) is a key enabler of digital transformation in telecommunications, improving operational efficiency and customer experience. However, telecom companies face governance challenges such as regulatory compliance risks, security vulnerabilities, and limited risk management capabilities, hindering effective AI adoption. This case study aims to address AI adoption challenges by developing an ambidextrous AI governance framework based on COBIT 2019 and DevOps. Using design science research methodology, the framework was designed and evaluated through semi-structured interviews with key TelCo stakeholders and validated with internal documents until data saturation was reached. The analysis applied the ambidextrous COBIT 2019 framework across seven governance components. Governance and Management Objectives (GMOs) were prioritized based on design factors, devops,  national regulations (SOE Minister No.PER-2/MBU/03/2023 and ICT Minister No.5/2021), and literature. As a result, APO12 (Managed Risk) was selected as the key objective. Recommendations include formalizing AI governance roles, enhancing AI-related risk training, and implementing advanced GRC and automation tools. This improvement will increase the APO12 maturity level from 3.83 to 4.66. This improvement will enhance TelCo’s capabilities in risk management, compliance, and innovation, offering practical insights for practitioners and contributing to the academic discourse on ambidextrous AI governance for sustainable digital transformation.

Page 11 of 12 | Total Record : 120

 8   9   10   11   12 

Filter by Year

2020 2025


Reset
Filter By Issues
All Issue Vol. 6 No. 2 (2025) Vol. 6 No. 1 (2025) Vol. 5 No. 2 (2024) Vol. 5 No. 1 (2024) Vol. 4 No. 2 (2023) Vol. 4 No. 1 (2023) Vol. 3 No. 2 (2022) Vol. 3 No. 1 (2022) Vol. 2 No. 2 (2021) Vol. 2 No. 1 (2021) Vol. 1 No. 2 (2020) Vol. 1 No. 1 (2020) More Issue