Indonesian Journal on Computing (Indo-JC)
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).
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<![CDATA[Challenging Analytic Data Opportunities in Smart Health with Algorithm (Study Case: Bumi Medika Ganesha ITB) ]]>
<![CDATA[Aristyo Hadikusuma]]>;
<![CDATA[Anung Asmoro]]>;
<![CDATA[Joko Rurianto]]>
<![CDATA[ Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.34818/INDOJC.2023.8.2.714
<![CDATA[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.]]>
<![CDATA[Perbandingan Codec AVC Dan HEVC Menggunakan Penilaian Subjektif Standar ITU-T P.900 ]]>
<![CDATA[Annisa Gatri Zakinah]]>;
<![CDATA[Arief Setyanto]]>;
<![CDATA[Asro Nasiri]]>
<![CDATA[ Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.34818/INDOJC.2023.8.2.719
<![CDATA[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.]]>
<![CDATA[Toward Smart Environment and Forest City Success: Embracing Sustainable Urban Solutions ]]>
<![CDATA[Widya Listianingsih]]>;
<![CDATA[Tony Susanto]]>
<![CDATA[ Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.34818/INDOJC.2023.8.2.727
<![CDATA[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.]]>
<![CDATA[Success Factors for Smart City in Urban Design Models: A Systematic Review ]]>
<![CDATA[Martiana Kholila Fadhil]]>;
<![CDATA[Tony Dwi Susanto]]>
<![CDATA[ Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.34818/INDOJC.2023.8.2.731
<![CDATA[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.]]>
<![CDATA[Elementary Search-based Algorithms for Solving Tilepaint Puzzles ]]>
<![CDATA[Vincentius Arnold Fridolin]]>;
<![CDATA[Muhammad Arzaki]]>;
<![CDATA[Gia Septiana Wulandari]]>
<![CDATA[ Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.34818/INDOJC.2023.8.2.750
<![CDATA[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.]]>
<![CDATA[Challenging Analytic Data Opportunities in Smart Health with Algorithm (Study Case: Bumi Medika Ganesha ITB) ]]>
<![CDATA[Hadikusuma, Aristyo]]>;
<![CDATA[Asmoro, Anung]]>;
<![CDATA[Rurianto, Joko]]>
<![CDATA[ Indonesian Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
Show Abstract
|
Download Original
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Original Source
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DOI: 10.34818/INDOJC.2023.8.2.714
<![CDATA[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.]]>
<![CDATA[Perbandingan Codec AVC Dan HEVC Menggunakan Penilaian Subjektif Standar ITU-T P.900 ]]>
<![CDATA[Annisa Gatri Zakinah]]>;
<![CDATA[Arief Setyanto]]>;
<![CDATA[Asro Nasiri]]>
<![CDATA[ Indonesian Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
Show Abstract
|
Download Original
|
Original Source
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Check in Google Scholar
|
DOI: 10.34818/INDOJC.2023.8.2.719
<![CDATA[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.]]>
<![CDATA[Toward Smart Environment and Forest City Success: Embracing Sustainable Urban Solutions ]]>
<![CDATA[Listianingsih, Widya]]>;
<![CDATA[Susanto, Tony]]>
<![CDATA[ Indonesian Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.34818/INDOJC.2023.8.2.727
<![CDATA[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.]]>
<![CDATA[Success Factors for Smart City in Urban Design Models: A Systematic Review ]]>
<![CDATA[Martiana Kholila Fadhil]]>;
<![CDATA[Tony Dwi Susanto]]>
<![CDATA[ Indonesian Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.34818/INDOJC.2023.8.2.731
<![CDATA[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.]]>
<![CDATA[Elementary Search-based Algorithms for Solving Tilepaint Puzzles ]]>
<![CDATA[Fridolin, Vincentius Arnold]]>;
<![CDATA[Arzaki, Muhammad]]>;
<![CDATA[Wulandari, Gia Septiana]]>
<![CDATA[ Indonesian Journal on Computing (Indo-JC) Vol. 8 No. 2 (2023): August, 2023 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.34818/INDOJC.2023.8.2.750
<![CDATA[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.]]>
