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INDONESIA
Indonesian Journal on Computing (Indo-JC)
Published by Universitas Telkom
ISSN : 24609056     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Indonesian Journal on Computing (Indo-JC) is an open access scientific journal intended to bring together researchers and practitioners dealing with the general field of computing. Indo-JC is published by School of Computing, Telkom University (Indonesia).
Arjuna Subject : -
Articles 251 Documents
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Implementasi Metode Pathfinding dengan Algoritma A* pada Game Rogue-like menggunakan Unity Elvitro Agung
Indonesia Journal on Computing (Indo-JC) Vol. 7 No. 3 (2022): December, 2022
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2022.7.3.677

Abstract

Pada era sekarang, media digital sudah sangat dikenal oleh masyarakat, dunia digital pada masa ini memiliki perkembangan yang cukup pesat, salah satu media digital yang dikenal oleh masyarakat adalah game. Seiring bertambahnya zaman, media game juga mengalami perkembangan, salah satu aplikasi untuk mengembangkan game adalah Unity, program tersebut dapat mengembangkan game dengan dukungan bahasa pemrograman C#, dari game yang pada awalnya sederhana, hingga sekarang kecerdasan buatan juga ikut ambil bagian dalam pembuatan game. Penerapan kecerdasan buatan dalam game diharapkan dapat membuat game menjadi lebih interaktif dan dapat meningkatkan pengalaman bermain bagi pengguna, salah satu metode dalam implementasi kecerdasan buatan dalam game adalah pada sistem pathfinding, sistem ini merupakan pencarian jalur otomatis bagi suatu unit di dalam sebuah game, algoritma A* akan digunakan dalam pencarian jalur tersebut dibutuhkan waktu yang singkat dan dengan jalur terpendek. Algoritma A* ini adalah suatu algoritma yang dapat digunakan untuk mencari jalur terpendek dengan waktu yang paling singkat. Pathfinding atau perencanaan jalur adalah salah satu masalah dalam pembuatan game komputer, hal tersebut biasanya mencangkup pergerakan dari sistem AI suatu unit di dalam game, algoritma A* merupakan salah satu metode yang dapat mengatasi masalah tersebut, algoritma tersebut merupakan sistem pencarian jalur dari titik awal dan titik akhir.
Information Technology Governance Analysis Using COBIT 5 Framework: (Case Study : PLANT Division PT Pamapersada Nusantara) Kelvin Kurniawan; Kusuma Adi Achmad; Satria Akbar Mugitama
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 1 (2023): April, 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.1.686

Abstract

PT Pamapersada Nusantara or better known as PAMA is a subsidiary of PT United Tractors Tbk. There are several divisions in PAMA, one of which is the PLANT Division which is the focus of this research. To improve this performance, a special Information Technology System was created for employees. In order for application development to run better and in line with the company, an analysis is carried out which is expected to be a benchmark and company recommendation to optimize the information system. The analysis was carried out using the COBIT 5 framework method, the researcher focused on the MEA01 (Monitor, Evaluate, Assess Performance and Conformance) domain. Then for the method is observation and interview, researchers use this method to be able to collect accurate data With this method, researcher can provide recommendations regarding the results of the IT governance analysis to ensure and optimize that the information system runs according to the company’s wishes based on the COBIT 5 framework standardization. The average result obtained is level 3 for the current condition and level 4 for the expected condition. The recommendation of this study is that companies can implement regular monitoring SOPs on existing IT management and governance.
A Determination of KIP Kuliah Scholarship Recipients Using the AHP and TOPSIS Method (Case Study: UMKT Student Division) ARIF RAHMAN HAKIM
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 1 (2023): April, 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.1.694

Abstract

Student Division Universitas Muhammadiyah Kalimantan Timur manage various scholarship for student,one of them is Kartu Indonesia Pintar Kuliah scholarship, the process include is where UMKT Student Division need to estimate eligible student receiving scholarship based on 4 criteria, the problem may occur is to many scholarship applicant but scholarship quota is limited it’s hard to choose eligible scholarship recipient among student applicant. By using AHP and TOPSIS to determine KIP Kuliah Scholarship Recipients, AHP used to given weight to all criteria, DTKS (0.539), Family Condition (0.086), Family economy (0.093), House Condition (0.282) and topsis used to process all student applicant year 2022 or alternatives, by using ahp and topsis to determine scholarship recipients the model gain 77% accuracy rates.
Time Series On-Board Air Quality Index Benedictus Augusta Vianney; Bayu Erfianto
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 1 (2023): April, 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.1.695

Abstract

With the rapid development of technology, individuals forget about their health, plus during the pandemic, the indoor air quality becomes more of a concern. Maintaining air quality to be healthy and good for humans is by keeping the amount of pollutants in the air, such as Carbon Dioxide (CO2), Volatile Organic Compound (VOC), and Formaldehyde (HCHO), at a predetermined and agreed threshold. We propose an on-board air quality index detection system for indoor and forecast the AQI in the future. The system will use a Raspberry Pi 4 and a WP6003 sensor device that will capture parameters for the AQI. The parameter data is analyzed using a correlation matrix to determine the parameters that affect each other. Then classified using fuzzy logic to determine the quality index based on the value of each parameter. Then forecast using the ARIMA and LSTM methods for the next 30 minutes. The forecasting accuracy is calculated using the RMSE and MAPE metrics. The result shows that CO2, VOC, and HCHO are related. Comparison of the forecasting results of the two methods concluded that the LSTM outperformed ARIMA to forecast the AQI for the next 30 minutes based on the previous 10 hours of data.
Challenging Analytic Data Opportunities in Smart Health with Algorithm (Study Case: Bumi Medika Ganesha ITB) Aristyo Hadikusuma; Anung Asmoro; Joko Rurianto
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.2.714

Abstract

Weka is a tool to help the data science to clustering data. Weka has feature K-means which help clustering data to spesific analysis. Clustering analysis is a technique for categorizing and dividing objects into groups. Each object has certain characteristics. Because the data has a lot of variety and quantity,By using this K-Means algorithm the patient temperature data already obtained will be grouped into several clusters. Grouping of data by clustering is expected to be a strategy for decision making.
Perbandingan Codec AVC Dan HEVC Menggunakan Penilaian Subjektif Standar ITU-T P.900 Annisa Gatri Zakinah; Arief Setyanto; Asro Nasiri
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.2.719

Abstract

Berdasarkan Bitmovin Video Developer Report 2021, pengguna video streaming di Indonesia sebanyak 98,5% dari total populasi 181,9 juta masyarakat Indonesia pada rentang usia 16-64 tahun. Hal ini semakin meningkat karena adanya pandemi Covid-19. Kebutuhan penikmat video akan kualitas video yang baik tanpa adanya degradasi gambar namun dengan ukuran file yang ringan membutuhkan adanya teknologi encoding decoding yang tepat. Dalam video, dikenal teknik pengkodean AVC dan generasi terbarunya adalah HEVC. Walaupun berbagai penelitian membuktikan bahwa teknologi HEVC lebih baik daripada AVC, namun tingkat adopsinya masih cukup rendah. Hal inilah yang mendasari penelitian ini dilakukan menggunakan penilaian subjektif (standar ITU-T P.910 dan ITU-T P.913). Penelitian ini melibatkan 19 responden yang memberikan penilaian dari 9 sampel video yang disediakan dengan format bitrate dan framerate yang berbeda. Hasilnya, kualitas vdeo HEVC sedikit lebih tinggi dibanding AVC kualitas video AVC karena terdapat perbedaan skor yang tipis antara keduanya. Namun demikian, waktu kompresi yang dibutuhkan HEVC lebih lama 21 menit 53 detik dibanding codec video AVC, sehingga hal ini dapat menjadi salah satu faktor tingkat adopsi HEVC masih rendah jika dibandingkan dengan AVC.
Toward Smart Environment and Forest City Success: Embracing Sustainable Urban Solutions Widya Listianingsih; Tony Susanto
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.2.727

Abstract

Solutions to design a more sustainable environment are increasingly urgent in the face of the impacts of climate change and rapid urbanization. In this context, success factors in smart environments and forest cities become essential to accelerate the transformation to a more sustainable environment. This study aims to provide a deeper understanding of the success factors in adopting a smart environment and sustainable forest city from the management aspects of environmental protection, including water, soil, air, waste management, and renewable energy. This research method involves systematic steps in selecting, collecting, and analyzing relevant literature. This research revealed several consistent success factors in the literature and several good practices that can be applied in developing smart environments and forest cities. In conclusion, this research better explains relevant success factors and good practices in creating smart environments and forest cities. It highlights the need for broader and more in-depth research to support efforts to achieve sustainability goals in smart environments and forest cities.
Success Factors for Smart City in Urban Design Models: A Systematic Review Martiana Kholila Fadhil; Tony Dwi Susanto
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.2.731

Abstract

Sustainable urban development cannot be separated from the smart city concept which can solve the problems of urban areas in recent years. The purpose of this study is to review literature studies on creating Urban Design models that influence the successful implementation of Smart City in urban areas toward sustainable urban development. Sustainable urban development in the Smart City concept is not limited to solutions using IT-based technology but needs to pay attention to solutions to the physical condition of cities due to the increase and decrease in the number of residents in urban areas. From this context, this research agrees on models, concepts, and indicators to measure the success factors of smart cities in Indonesia. This research method was carried out by studying the literature used derived from various articles filtered into 40 articles about urban design in Smart City. The result of this study is a systematic literature review consisting of 3 domains, 8 aspects and 40 indicators of Urban Design influencing the success of Smart City in the local government. The results of this study can contribute to the implementation of the Urban Design model in sustainable urban development.
Elementary Search-based Algorithms for Solving Tilepaint Puzzles Vincentius Arnold Fridolin; Muhammad Arzaki; Gia Septiana Wulandari
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.2.750

Abstract

This paper discusses the elementary computational aspects of Tilepaint puzzles, single-player logic puzzles introduced in 1995 and confirmed NP-complete in 2022. Two elementary search-based algorithms are proposed: the complete search technique with a bitmasking approach and the prune-and-search technique with a backtracking approach and pruning optimization. This paper shows that the asymptotic running time of these algorithms for solving an $m \times n$ Tilepaint instance containing $p$ tiles are respectively $O(2^{p} \cdot p \cdot mn)$ and $O(2^{p} \cdot mn)$, implying that the latter method is asymptotically faster by a factor of $p$. This paper also discusses tractable and intractable variants of Tilepaint puzzles. This paper shows that an $m \times n$ Tilepaint instance containing $mn$ tiles of size $1 \times 1$ is solvable in polynomial time. In contrast, this paper shows that solving general $m \times 1$ and $1 \times n$ Tilepaint puzzles remains intractable by reducing such problems from the subset-sum problem.
The Generating Indonesian Paraphrased Sentences with Verbal Predicate Replacement Bunyamin; Arie Ardiyanti Suryani
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.709

Abstract

Sentence paraphrasing is restating sentences using different diction without changing the meaning of the language. Paraphrasing sentences can be done in several ways, including synonym substitution techniques, changing sentence forms, or replacing the predicate part of sentence. This research aims to produce a paraphrased sentence generator with semantic similarities to the original sentence. The paraphrasing used in this research is to identify the verb type predicate in simple sentences using PoS Tagging. Then look for words similar to the predicate using the similarity of the word2vec model. A list of opposites antonyms is used to improve the lexical substitution results. Evaluation is done by using human judgment between the results and the original sentence. The experimental results show that of the 600 sentence datasets, 48.37% of the sentences have semantic similarities, 20.93% have semantic reductions, and 30.70% have no semantic similarities.

Page 18 of 26 | Total Record : 251

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