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Taqwa Hariguna
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Puri Mersi Baru, Jl.Martadireja II, Gang Sitihingil 3 Blok A No 2, Purwokerto Timur, Jawa Tengah
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INDONESIA
IJIIS: International Journal of Informatics and Information Systems
Published by Bright Publisher
ISSN : -     EISSN : 25797069     DOI : https://doi.org/10.47738/ijiis
Core Subject : Science,
Computer Science & IT
The IJIIS is an international journal that aims to encourage comprehensive, multi-specialty informatics and information systems. The Journal publishes original research articles and review articles. It is an open access journal, with free access for each visitor (ijiis.org/index.php/IJIIS/); meanwhile we have set up a robust online platform and use an online submission system to ensure the international visibility and the rigid peer review process. The journal staff is committed to a quick turnaround time both in regards to peer-review and time to publication.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 157 Documents
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Prediction of Waste Generation in Yogyakarta Special Region Province Using ARIMA Model Nur Azizah, Resti; Aji, Ranggi Praharaningtyas
International Journal of Informatics and Information Systems Vol 7, No 2: March 2024
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v7i2.200

Abstract

Waste is a problem in big cities in Indonesia, including in the Special Region of Yogyakarta which has a high population. In addition, the large tourism potential triggers waste problems that are often experienced by the Special Region of Yogyakarta. The average increase in waste reaches 11.53% per year. This causes an imbalance in the ability to manage the waste system in the province. To overcome this, an analysis is needed to project waste generation to support waste management strategies and processes. This research uses the CRISP-DM framework to facilitate the stages of analysis and effective and efficient decision making. The data used is a time series of waste generation per year in tons from districts or cities from 2016 to 2022. The model used to make predictions is the ARIMA model. This model was chosen because it is suitable for time series analysis and is the most commonly used model. The result of this prediction is that the projected waste generation from 2023 to 2025 in each district or city in the Special Region of Yogyakarta has increased significantly. Based on the ARIMA model, it is projected that the average waste generation of DIY Province will increase from a total of 638 thousand tons in 2022 to 642 thousand tons in 2023, and is expected to continue to increase by 5-7 thousand tons per year.
Optimizing IT Service Strategies: A Performance Assessment through ITIL V3 in PT XYZ IT Operations Division Sholekha, Kharisma Putri; Akhmarullah, Nauval Dwi Yuzhak; Tarwoto, Tarwoto; Ramadhan, Andra Dwi; Setiawan, Hasan; Prasetyo, Ilham Cipto; Hermawan, Sabana Nur Rizki
International Journal of Informatics and Information Systems Vol 6, No 4: December 2023
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v6i4.176

Abstract

In building a system in an IT organisation, it is necessary to have the support of an IT Service that is able to adapt to business needs continuously. IT services mainly run and grow from within the company. The Information Technology Infrastructure Library (ITIL) is the most commonly adopted framework for IT service management. Starting the use of ITIL can be done by identifying areas that can be developed and measuring the current situation. This will help to know the desired future state and be the basis for finding solutions to improve performance based on ITIL. Maturity level measurement is one of the commonly used methods to define the current situation. The purpose of this research is to understand how well a team from a small company is doing business using maturity levels. ITIL's seven-step improvement process was chosen and adapted as a guide to carry out the entire research. The research was conducted by conducting maturity assessments and interviews at a small IT services company. Measurements were carried out twice. At first, it serves to determine the condition before measurement and improvement. Research in the IT Operations division of XYZ revealed that ITIL implementation can increase maturity levels in accordance with company management objectives. In the end, the implications of this research will provide company management with factors and solutions to improve performance based on ITIL implementation.
Investigation into Data Mining for Analysis and Optimization of Direct Maintenance Costs in Civil Aircraft Operations Tian, Zhe; Lu, Zhonghui; Lu, Yakai
International Journal of Informatics and Information Systems Vol 7, No 1: January 2024
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v7i1.190

Abstract

Civil aircraft maintenance cost is an important indicator to measure the maintainability and economy of civil aircraft, and it accounts for a considerable proportion of aircraft operating costs. Data mining technology can unearth potentially high-value data from massive aircraft operating data. In this paper, aiming at the problem that there are very few actual aircraft maintenance data that can be effectively used in the development stage of civil aircraft, the research on the direct maintenance cost analysis and optimization method of civil aircraft based on data mining is carried out. The theoretical basis of direct maintenance cost analysis based on data mining is studied, the factors affecting the direct maintenance cost of civil aircraft are analyzed based on data mining, and the DMC analysis method is established. On the basis of the above research, the direct maintenance cost analysis model of civil aircraft was established and optimized to achieve the goal of reducing direct maintenance costs. It is of great significance for reducing aircraft life cycle costs and improving aircraft market competitiveness.
Instagram Ads Optimization Strategy to Increase Brand Awareness at CV Media Computindo Anom, Khotimah Dewi; Khayati, Fajar Nur; Adna, Evania; Oktaviani, Tia; Tarwoto, Tarwoto
International Journal of Informatics and Information Systems Vol 6, No 4: December 2023
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v6i4.171

Abstract

This study aims to investigate Instagram Ads optimization strategies in increasing brand awareness at CV Media Computindo. In this ever-evolving digital era, Instagram is one of the most popular and effective marketing platforms. Strong brand awareness is very important for CV Media Computindo because it can increase brand exposure in a competitive market. The research method used is a qualitative approach with descriptive methods. A qualitative approach with a descriptive method is a research method that utilizes qualitative data and is described descriptively. The purpose of qualitative descriptive research is to make systematic descriptions, drawings, or drawings as well as the relationships between the phenomena being investigated. 98% ad reach has been obtained, 100% broadcast is male gender, 78% aged 35-44 years and 21.9% aged 45-54 years, the top locations for exposure are West Java 29.4%, East Java 23, 3%, Jakarta 21.5%, Central Java 21.2%, and DI Yogyakarta 4.4%. Shows that Instagram Ads have a significant influence on building brand awareness at CV.Media Computindo.
Evaluation of Online Admissions Information System Utilizing the Technology Acceptance Model Lian, Chuan De; Yuzhak, Nauval Dwi
International Journal of Informatics and Information Systems Vol 7, No 2: March 2024
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v7i2.201

Abstract

Admission of New Students covers the entire process, from registration and administrative selection to graduation announcement. This activity is an annual routine that is the first step in finding quality prospective students. Therefore, there is a need for a valuable and user-friendly online PMB website. Based on these problems, it is necessary to assess the success of implementing the PMB Online system at Amikom Purwokerto University using the Technology Acceptance Model (TAM) approach. This system development method refers to TAM, which emphasizes user perceptions of two main variables: usefulness and ease of use. Variables that describe user acceptance of the PMB Online system include Perceived Ease of Use, Perceived Usefulness, Perceived Enjoyment, Attitude Towards Using, and Intention to Use. The results of this study indicate that Perceived Ease of Use has a positive effect on Perceived Usefulness, and Perceived Usefulness has a positive effect on Attitude Towards Using and Intention to Use. Meanwhile, Perceived Enjoyment also has a positive effect on Attitude Towards Using. The results of this study are expected to identify weaknesses and improve certain aspects to optimize the implementation of PMB Online at Amikom Purwokerto University.
Chord Recognition in Music Using a Robust Pitch Class Profile (PCP) Feature and Support Vector Machines (SVM) Kamonsantiroj, Suwatchai; Wannatrong, Lita; Pipanmaekaporn, Luepol
International Journal of Informatics and Information Systems Vol 7, No 1: January 2024
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v7i1.191

Abstract

Music is the most direct and effective means to express emotion, and the effective identification of music works can help us better understand the works and realize the correct interpretation of music. This paper takes robust PCP feature and SVM as the research object. Firstly, the related concepts of terms and a large number of robust CFO description chord spectrum methods used in audio analysis are introduced. Secondly, it expounds the correlation between SVM and speech tonality, designs the system of music chord recognition, tests the performance of the system, and focuses on the test in the direction of recognition rate. Finally, the test results show that the system greatly improves the recognition of music chords with the support of robustness feature optimization and SVM pattern.
Enterprise Architecture Design in Sonic Advertising Company Using TOGAF Framework Pratama, Yudha; Prasetya, Rusli; Rizki, Muhammad; Anggraeni, Laudiana; Pratiwi, Berliana Wahyu; Meizaroh, Laili; Tarwoto, Tarwoto
International Journal of Informatics and Information Systems Vol 7, No 1: January 2024
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v7i1.194

Abstract

This research explores the application of the TOGAF (The Open Group Architecture Framework) framework in designing the enterprise architecture of a Sonic Advertising Company. The study aims to enhance the organizational structure, streamline processes, and optimize technology infrastructure to support the company's business goals and objectives. Through a comprehensive analysis of the current state of the organization, this research proposes a tailored TOGAF-based enterprise architecture design that aligns with Sonic Advertising Company's strategic vision. The findings of this study contribute to the growing body of knowledge in enterprise architecture and provide practical insights for organizations seeking to implement TOGAF in the context of the dynamic advertising industry.
Analysis of Information Technology Service Management Using ITIL V3 Domain Service Operation at Company XYZ Shidqi, Shafirina Arsydini; Adha, Fatihilal; Novendri, Alia; Artanti, Freda Widya; Widadi, Wiwit Puja Marga; Subarkah, Fakhry; Tarwoto, Tarwoto
International Journal of Informatics and Information Systems Vol 6, No 4: December 2023
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v6i4.174

Abstract

The rapid development of information technology and excellent technology services have become the aspiration for everyone, organizations, institutions, and universities to support their activities, facilitate their tasks, and streamline their business processes. An enterprise organization needs to adapt to the current information technology trends. Managing IT services is a centralized method focusing on consumers' perspective of IT services towards a company's business. XYZ Company has implemented information technology specifically designed for users to manage service activities and process company administrative data. Service Operation is a lifecycle phase covering all day-to-day operations of IT service management. Based on research results on 3 processes, namely Event Management, Request Fulfillment, and Problem Management, there is a need to enhance the hardware, software, and infrastructure requirements to adequately meet the needs of XYZ Company for more effective work. Additionally, the need for implementing Standard Operating Procedures (SOP) and appropriate modules for employees is crucial to enhance their efficiency in utilizing information technology.
Implementation of Big Data Analytics and its Challenges in Digital Transformation Era: A Literature Review Susanto, Firsty Larastiyana; Maulani, Agustin; Nuri, Siti Nuran
International Journal of Informatics and Information Systems Vol 7, No 2: March 2024
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v7i2.204

Abstract

The reliance on technology to support various aspects of human life has become very relevant and significant. The steadily increasing volume of data (called big data) plays an important role in machine learning, Internet of Things (IoT) and other intelligence applications. The interaction between big data and operations in various aspects of human life is a concern, this systematic literature review provides a descriptive aspect of the literature review, the research results offer a comprehensive overview of existing big data implementations ranging from 2019 to 2023. Other than this, we discuss the general challenges for researchers in using various big data sources in different crises. This study, especially revealing the implementation and challenges of big data in general, is expected to provide a knowledge base for researchers to delve deeper and more specifically.
Exploring Transformer Life Forecasting through an In-Depth Analysis Utilizing the Random Forest Algorithm in Research and Development Gan, Lei; Wu, Hao; Ismail, Manal
International Journal of Informatics and Information Systems Vol 7, No 1: January 2024
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v7i1.192

Abstract

Accurately assessing the life and operating status of transformers has important guiding significance for the formulation of maintenance strategies for power grid companies, and at the same time plays a key role in the risk management of power grid companies. However, the traditional methods for predicting the remaining life of the equipment have the problems of insufficient accuracy or long data training time. In order to achieve a more accurate assessment of the life and status of the transformer, a random forest-based transformer life prediction method is constructed in this paper. Relying on the theory of big data analysis, by mining and analyzing the accumulated data of massive transformers, the life prediction model of the transformer is established and the characteristic parameters affecting the life of the transformer are extracted to predict the life of the transformer. The experimental data research demonstrates that the model can be accurate and effective Predicting the life of transformers has higher prediction accuracy than traditional methods, providing method references for asset management and risk management of power grid companies.

Page 12 of 16 | Total Record : 157

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