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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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Analysis of Website Portal Rumah Belajar Using WebQual 4.0 Method and Important Performance Analysis BAYU SEPTIAN, ADE; Darwiyanto, Eko; Hidayati, Hetti
Indonesian Journal on Computing (Indo-JC) Vol. 6 No. 1 (2021): April, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.1.548

Abstract

Portal Rumah Belajar is implementing E-Government in Presidential Instruction No. 3 of 2003 concerning National Development Policy and Strategy. The government is required to take advantage of advances in information and communication technology by developing e-government-based public services. The Portal Rumah Belajar is a means for students to get various information about the learning material. Therefore this website must be able to present quality information based on user perceptions. Based on previous research that analyzed the Rumah Belajar website, there are deficiencies in usability factors and information quality factors that affect user satisfaction. Therefore, the study discusses the Portal Rumah Belajar Website Analysis topic using the WEBQUAL 4.0 method and Importance Performance Analysis to evaluate the Portal Rumah Belajar website's quality. WEBQUAL 4.0 as a reference for making a questionnaire and Importance Performance Analysis as an analysis in the form of a level of conformity to the gap quantification. The results obtained from the evaluation that the website's quality has a conformity level of 101.16% concluded that the user feels satisfied with the site's service. The gap level has a positive value of 0.04. It can be concluded that users experience satisfaction with the website
The Quality Comparison of WebRTC and SIP Audio and Video Communications with PSNR Muhhamad Affan Hasby; Putrada, Aji Gautama; Dawani, Febri
Indonesian Journal on Computing (Indo-JC) Vol. 6 No. 1 (2021): April, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.1.549

Abstract

Video and audio communications have become part of all areas of work. Two real-timecommunication protocols commonly used for IP-based video and audio communicationsare Session Initiation Protocol (SIP) and real-time web communications (WebRTC). Bothprotocols have been widely used in softphone and video conferencing applications. Themain objective of this research is to make an analysis of the performance of a client serverapplication for video and audio communications developed by SIP and WebRTC. The SIPsystem consists of a softphone on the client side using Bria and a FreePBX server, forWebRTCapplications, using JavaScript and a server at Node.js. The results showed that the WebRTCaudio and video communication provided better quality in terms of PSNR. This is due tothe different codecs used between WebRTC and SIP. WebRTC uses VP8 as video codec, SIPuses H.246 as video codec, WebRTC uses G.711 as audio codec, and implemented SIP usesG.729 as audio codec.
Classification Model of Consumer Question about Motorbike Problems by Using Naïve Bayes and Support Vector Machine Wicaksana, Ekky; Murdiansyah, Danang Triantoro; Kurniawan, Isman
Indonesian Journal on Computing (Indo-JC) Vol. 6 No. 2 (2021): September, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.2.561

Abstract

The motorbike plays an important role in supporting daily activity. The motorbike is known as one of the transportation modes that is frequently used in Indonesia. The number of motorbikes used in Indonesia is continuously increasing time by time. Hence, the occurrence of motorbike problems can affect community activity and disturb the economic condition in society. Since the problem of the motorbike can occur at any time, a prevention action is required by providing an online consultation platform. However, a classification model is required to handle a wide range of questions about the motorbike problem. By classifying those questions into a specific class of problems, the solution can be delivered to the consumer faster. In this study, we developed prediction models to classify consumer questions. The data set was collected from consumer questions regarding motorbike problems that are commonly occurring. The model was developed using two machine learning algorithms, i.e., Naïve Bayes and Support Vector Machine (SVM). Text vectorization was performed by using the n-gram and term frequency-inverse document frequency (TF-IDF) method. The results show that the SVM model with the uni-trigram model performs better with the value of accuracy and F-measure, which are 0.910 and 0.910, respectively.
Information Technology Governance Audit Using the COBIT 5 Framework (Case Study of PDAM Tirta Patriot Kota Bekasi) Lisda Awalia Aprilianti; Darwiyanto, Eko; Arie, Yanuar Firdaus
Indonesian Journal on Computing (Indo-JC) Vol. 6 No. 2 (2021): September, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.2.563

Abstract

PDAM Tirta Patriot has implemented information systems for its business process but still has deficiencies, including some business processes that do not have documented guidelines and procedures. Furthermore, the human resources in PDAM Tirta Patriot are insufficient for improving IT governance due to the lack of reliable personnel in the IT unit. Given the importance of IT for PDAM, an audit is needed to evaluate the capability of the IT unit in managing IT. COBIT 5 provides a goals cascade to align the company with its business goals. However, the goals cascade does not provide priority to IT-related goals. Therefore, for prioritizing IT-related goals, this research uses Analytical Hierarchy Process (AHP). From the AHP result, the selected domains are APO01, MEA01, and APO07. This research aims to determine the current capability level and analyze the gap between it and the chosen target capability level, precisely level 2. The current capability level of PDAM Tirta Patriot from domain APO01 is 1, MEA01 is 0, and APO07 is 0, which means none of those have reached the target capability level. Recommendations are given based on the unfulfilled work product for domains that do not reach the target capability level.
Forecasting Number of New Cases Daily COVID-19 in Central Java Province Using Exponential Smoothing Holt-Winters Irandi, Dinda Fitri; Rohmawati, Aniq Atiqi; Gunawan, Putu Harry
Indonesian Journal on Computing (Indo-JC) Vol. 6 No. 2 (2021): September, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.2.565

Abstract

There is hard to mention how long the COVID-19 pandemic will discontinue. There are some factors, including the public’s efforts to slow spread and researchers’ work to observe more about this outbreak. From the beginning of the health crisis, particularly following the announcement of the first positive case In Indonesia due to the COVID-19 on March 2, 2020. Afterwards, the number of daily cases increase simultaneously in other regions in Indonesia until today. Due to the fact that the significant mobility of the people, Central Java has contributed the 3rd rank of potential number of COVID-19 positive cases in Indonesia. This study aims to forecast the number of COVID-19 daily new cases in Central Java to assist the government in preparing the necessary resources and controlling the spread of the COVID-19 virus in Central Java Province. We proposed Exponential Smoothing Holt-Winters with the Additive model with seasonal addition considering trend and seasonal factors. The dataset during March 14 to April 17, 2021, revealed fluctuation of trend and seasonal patterns. Our simulation studies indicate that Exponential Smoothing Holt-Winters provides sharp and well performance for forecasting daily new cases of COVID-19 in Central Java province with MAPE less than 10%.
Multi Criteria Recommender System for Music using K-Nearest Neighbors and Weighted Product Method Nofal, Muhamad Hafidh; baizal, zk abdurahman; Dharayani, Ramanti
Indonesian Journal on Computing (Indo-JC) Vol. 6 No. 2 (2021): September, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.2.575

Abstract

Currently, the music industry has grown rapidly which has led to an information overload that hinders users from finding the music they want, because everyone has their own unique characteristics. In a previous study, the Recommender System converted music lyrics into digital values using Lexicon's Non-Commercial Research (NRC) and K Nearest Neighbors (KNN) to look for similarities between music. However, this system only uses lyrics to recommend music, so it doesn't pay more attention to user preferences. Therefore, in this study adds criteria from users using the Weighted Product Method (WPM) to weight the music criteria with the input criteria from users. In this study uses a music dataset from 2000 to 2019 taken from the Kaggle website. The purpose of this study was to measure user satisfaction using the System Usability Scale (SUS). In this case, the user is free to answer 10 questions regarding the results of the recommendations provided by the system. Based on the results of the questionnaire, the SUS score was 83.65. This score is included in the EXCELLENT category with grade A scale
An Exponential Smoothing Holt-Winters Based-Approach for Estimating Extreme Values of Covid-19 Cases Abi Rafdhi Hernandy; Rohmawati, Aniq Atiqi; Gunawan, Putu Harry
Indonesian Journal on Computing (Indo-JC) Vol. 6 No. 2 (2021): September, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.2.576

Abstract

Covid-19 is an ongoing outbreak across the world infecting millions, having significant fatality rate, and triggering economic disruption on a large scale. The demand of healthcare facility has been significantly affected by the increased Covid-19 cases. Many countries have been forced to do lockdown and physical distancing to avoid a crucial peak of novel Covid-19 pandemic that potentially overwhelms healthcare services. Central Java is the province with the third highest population density in Indonesia and predicted to be affected significantly over a particular period of this outbreak. Our paper aims to provide a modelling to estimate extreme values of daily Covid-19 cases in Central Java, between March and April 2021. We particularly capture seasonality during this period using Exponential Smoothing Holt-Winters. We employ that Value at Risk and mean excess function based-approaches for extreme value estimation. Our simulation studies indicate that Exponential Smoothing Holt-Winters and Value at Risk provide sharp and well prediction for extreme value with zero violation. Since a number of positive cases has resulted unprecedented volatility, estimating the extreme value of daily Covid-19 cases become a crucial matter to support maintain essential health services.
Tourism Recommender System using Weighted Parallel Hybrid Method with Singular Value Decomposition Akbar, Yoan Amri; baizal, zk abdurahman; Wibowo, Agung Toto
Indonesian Journal on Computing (Indo-JC) Vol. 6 No. 2 (2021): September, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.2.579

Abstract

Presently, we often get suggestions for recommendations for tourist attractions from various sources such as the internet, magazines, newspapers, or travel agencies. Because there is numerous information, tourists become difficult to determine the tourism destination that suits their wishes. We created a tourism recommender system that can provide information in the form of recommendations for tourist attractions by the preference of tourists. The method used is a hybrid method that combines several recommendation methods, which are Content-Based Filtering (CB) and Collaborative Filtering (CF). We use tourism data of Lombok Island, West Nusa Tenggara, which will be taken from the TripAdvisor site. We apply the Singular Value Decomposition algorithm on CF and CB. The Hybrid Weighted Parallel Technique is used for Hybrid Method. The results of the experiment show that the weighting technique hybrid method provides higher prediction accuracy than when undergoing the recommender system method separately. The average results of Mean Square Error were obtained 0.7275 (CF), 0 .4583 (CB), and 0.2548 (Hybrid Method). The result indicates that the Hybrid Method with the Weighting Technique has the highest accuracy of another method.
The Perancangan Sistem Informasi Laporan Kegiatan Penanaman Modal Dengan Menggunakan Arsitektur Microservices Pada Kementerian Investasi/Badan Koordinasi Penanaman Modal Tjahyono, Ari
Indonesian 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.2022.7.3.674

Abstract

Pemerintah Indonesia membutuhkan investasi untuk mengoptimalkan potensi Indonesia. Kementerian Investasi menyediakan aplikasi berbasis web untuk layanan Laporan Kegiatan Penanaman Modal(LKPM) yang digunakan pelaku usaha untuk melaporkan kegiatan usahanya atas izin penanaman modal yang dimiliki. Dengan bertambahnya pengguna aplikasi LKPM seiring dengan bertambahnya jumlah realisasi penanaman modal, kondisi ini berpengaruh terhadap kinerja dari aplikasi tersebut. Adanya perubahan peraturan dan implementasi basis tingkat risiko usaha, membuat Kementerian Investasi perlu melakukan pengembangan aplikasi LKPM agar dapat terintegrasi dengan OSS, dengan mempertimbangkan pilihan arsitektur microservices untuk kebutuhan integrasinya. Tujuan penelitian ini adalah menganalisis kebutuhan fungsi-fungsi pelaporan dan pengawasan pada aplikasi LKPM Online. Tahapan penelitian diawali dengan Pengumpulan Data Awal, Telaah Pustaka, Identifikasi Kebutuhan, Analisis Kondisi, dan Rancangan Arsitektur Sistem untuk Implementasi Pengembangan LKPM Online. Hasil penelitian yaitu Arsitektur microservices digunakan dalam pembangunan dan pengembangan LKPM Online karena beberapa kelebihannya, seperti lebih mudah dikelola karena modul-modulnya dipecah mnjadi bagian-bagian kecil, serta karena terdapat kebutuhan pada LKPM Online yang terintegrasi dengan OSS. Dan rekomendasinya, Perancangan aplikasi LKPM Online dapat dilanjutkan ke proses pembangunan, pemeliharaan, dan pengembangan sesuai dengan Software Development Life Cycle dan Komparasi secara berkala dengan perkembangan teknologi perlu terus dilakukan, terutama pada sisi efektivitas dalam pembangunan arsitektur microservices dan manajemen proyek teknologi informasi.
Solving Tatamibari Puzzle Using Exhaustive Search Approach Reinhard, Enrico Christopher; Arzaki, Muhammad; Wulandari, Gia Septiana
Indonesian 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.2022.7.3.675

Abstract

Tatamibari is a puzzle that was first published in 2004 and was proven to be NP-complete in 2020. However, to the best of our knowledge, algorithmic investigation of the Tatamibari puzzle is relatively new and limited. There are discussions about an approach for solving the Tatamibari puzzle using the Z3 SMT solver, but there are no details regarding the steps of the algorithm as well as its explicit asymptotic upper bound. In addition, this solver requires an additional library that cannot be directly executed using standard libraries in an arbitrary imperative programming language. Hence, this paper discusses an exhaustive search approach for solving an arbitrary Tatamibari puzzle. We show that this algorithm can find all solutions to an \(m \times n\) Tatamibari instance with \(h\) hints in \(O(\max\{m^2 n^2, h^{mn-h} \cdot hmn\})\) time. We also use this algorithm to find the number of possible Tatamibari solutions in an \(m \times n\) grid for some small values of \(m\) and \(n\).

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