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Tri A. Sundara
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The Indonesian Journal of Computer Science
Published by STMIK Indonesia Padang
ISSN : 25497286     EISSN : 25497286     DOI : https://doi.org/10.33022
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information system, information technology, artificial intelligence, big data, industrial revolution 4.0, and general engineering. The articles will be published in English and Bahasa Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,127 Documents
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Innovative Customer Relationship Management (CRM) Development in Marketplace: The Case Study of Tokopedia Ajitrisna, Elingga
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4250

Abstract

This study examines Tokopedia’s innovative Customer Relationship Management (CRM) development in the Indonesian marketplace landscape, driven by technological advancements and shifting consumer behaviors. The research employs a two-pronged approach: data collection from Tokopedia's website and analysis using the McKinsey 7S Framework. Objectives include understanding Tokopedia's strategies to attract and retain customers through personalized marketing, customer feedback integration, and loyalty programs. The results indicate that Tokopedia's cohesive CRM approach, emphasizing shared values, leadership style, and skilled workforce, effectively enhances customer satisfaction and loyalty. This integrated strategy has contributed to Tokopedia's substantial growth and competitive edge in the dynamic marketplace ecosystem. Future research could explore Tokopedia's CRM effectiveness compared to competitors and the potential of targeted market segmentation strategies.
The Strategic Role of Information Technology Leadership in Indonesia Stock Exchange Yosephine Novianti; Aditya Reza Firdaus; Rizal Fathoni Aji
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4255

Abstract

Information Technology involvement on an organization may vary. Based on McFarlan’s IT strategic impact grid, it is being classified to be support, factory, turnaround, and strategic. Each quadrant has a different IT leadership position and IT role. PT Bursa Efek Indonesia (IDX) is an institution with high dependency on IT, as they manage online activities, use website, and enter global market. This qualitative study focuses on IDX’s IT leadership implication and role of IT on the system used. The data collection was carried out by exploratory literature studies and semi-structured interview. The findings of this study show that IDX is now in the strategic quadrant. It depicts from McFarlan application mapped which shifts to focus on strategic as The Role of IT, also dominant quadrant category of IT Leadership Implication is strategic.
Evaluasi Usability & Rekomendasi Perbaikan Desain Antarmuka Sistem Self-Service dalam Penyelesaian Kendala Pelanggan E-commerce Agri Fina; Santoso, Harry Budi
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4258

Abstract

Self-service has been widely adopted by various companies worldwide for different purposes; for example, in customer service settings, it automates repetitive and simpler tasks handled by agents. However, self-service systems for resolving customer issues have limitations. This study thus aims to evaluate the usability of the self-service system on the help center of an e-commerce app. Usability evaluation was conducted using both qualitative and quantitative methods. Quantitative data were collected through a survey with demographic and introductory questions, the System Usability Scale (SUS) questionnaire, and follow-up questions. In total, 200 responses were collected (195 of which were valid). Since the average SUS score was 67.35, the data analysis revealed that the self-service system has usability issues, particularly in learnability and efficiency. Additionally, usability testing and in-depth interviews were conducted with 12 participants to collect qualitative data to be analyzed using thematic analysis. Based on these findings, the study concludes that the development team can prepare a plan to enhance the user interface of the self-service system on E-Commerce XYZ’s help center to enhance usability.
Analisis Kualitas Website BPJS (Badan Penyelenggara Jaminan Sosial) Kesehatan Menggunakan Metode Webqual 4.0 Nur Afifa, Ifa; Sanglise, Marlinda; Julius P.P.Naibaho
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4259

Abstract

As the digital era advances, the use of websites as the main means of providing information and services is increasingly important. One example is the BPJS Health website, which is an important platform for providing health information and services for the Indonesian people. This research aims to evaluate the quality of the BPJS Health website using the WebQual 4.0 method and PLS-based SEM analysis, with a focus on user satisfaction as end users. This research method uses a quantitative approach by collecting data through questionnaires distributed to 118 BPJS Health website users. Analysis was carried out using SmartPLS 4.0 software to test the measurement model (outer loading) and structural model (inner model). The research results show that the Usability and Service Interaction Quality variables have a positive and significant effect on user satisfaction, while Information Quality has a positive but not significant effect.
Usability Evaluation and Alternative Design Recommendations for HSIS Mobile Application: A Case Study of PT HNI Rozanah; Harry Budi Santoso
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4260

Abstract

Halal Network International (HNI) is considered as one of the sharia MLM-based companies in Indonesia. In order to fulfill the sales management needs, HNI developed HSIS application. The aims of this study are to conduct usability testing and to design alternative interface design recommendations for the HSIS Mobile application by using the User-centered Design (UCD) process. This study applied the System Usability Scale (SUS) Questionnaire, Open-ended Question (OEQ), and Task Scenario within Usability Testing (UT) as research instruments. There were 81 respondents involved in filling out the questionnaires. Furthermore, UT Phase 1 was conducted by involving 14 respondents. The results of these processes were categorized, and the design solutions were mapped based on Nielsen's Ten Usability Heuristic of Interface Design and Shneiderman's Eight Golden Rules of Interface Design. The alternative design solutions were tested again in UT Phase 2 and they showed a significant decrease in the number of usability issues. Thus, it proves that the alternatives design can provide positive improvement in the usability and user experience of the HSIS Mobile application.
Implementasi Algoritma Particle Swarm Optimization pada AS/RS Berbasis Mikrokontroler Arduino Ruminto Subekti; Nur Jamiludin Ramadhan; Agnia Hanifah
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4261

Abstract

Manual warehouse systems in Indonesia cause tracking and storage issues, increasing the risk of damage. Implementing Particle Swarm Optimization (PSO) in Automated Storage and Retrieval Systems (AS/RS) can optimize travel paths, reduce errors, and enhance storage efficiency. Parameters such as particles, iterations, and inertia are applied in this system. This study integrates PSO with Arduino-based AS/RS using the VDI 2206 method, with AS/RS racks designed in a 4x4 matrix. In various case studies, PSO successfully reduced travel distances by 1% to 32% and operational time by 5% to 21%. PSO effectively enhances the operational efficiency of AS/RS by optimizing travel routes, thereby reducing the time needed for storage and retrieval operations. Additionally, it is important to note that the reduction in travel distance is influenced by the initial input addresses without PSO, which might already be near optimal. Thus, while PSO significantly improves efficiency, the extent of reduction can vary based on how close the initial input addresses without PSO are to the optimal route.
Penerapan Algoritma Convolutional Neural Network Untuk Klasifikasi Penyakit Kanker Kulit Septhya, Dhini; Rahmaddeni; Susanti; Agustin
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4262

Abstract

The skin is an important organ that protects the human body, so early treatment is essential to prevent diseases such as skin cancer. Skin cancer is a serious disease that can be fatal ana requires high treatment costs. It ranks thirds after cervical cancer and breast cancer in Indonesia, with causative factors including genetics and exposure to UV radiation. Early detection and proper diagnosis are essential to increase the chances of recovery, so skin cancer classification is necessary to avoid delays in treatment. Deep Learning methods, particularly Convolutional Neural Network (CNN), have been shown to provide significant result in image classification with high accuracy. VGG16 and DenseNet121 are two popular CNN architecture used in image classification. This study aims to compare the performance of skin cancer classification using VGG16 and DenseNet121. The result show that the DenseNet121 architecture provides higher accuracy compared to the VGG16 architecture, with 93% accuracy for train data and 79% for test data, while the VGG16 architecture achieves 80% accuracy for train data and 74% for test data. These results show that the DenseNet121 architecture is superior in skin cancer classification, providing important information for more accurate diagnosis
Analisis Sentimen Ulasan Pengguna pada Aplikasi Cryptocurrency: Evaluasi Dampak Skenario Pembagian Dataset Menggunakan Multinomial Naive Bayes Ramaputra, Chrisdion Andrew; Al Faroby, Mohammad Hamim Zajuli; Lidiawaty, Berlian Rahmy
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4263

Abstract

The surge in cryptocurrency investors in Indonesia, reaching 18.83 million by January 2024, signifies an expanding interest in this market. This research conducts a sentiment analysis of user reviews on Indodax and Tokocrypto, the premier cryptocurrency trading platforms in Indonesia. Utilizing the Multinomial Naive Bayes method, the study examines the influence of various dataset split scenarios and random states on the model's performance. The findings reveal substantial variability in the model's accuracy based on different random states and test sizes. Notably, the Positive sentiment label consistently shows high-performance metrics, while the Neutral label underperforms. These insights are invaluable for developers aiming to improve user experience and for investors seeking to make informed decisions. This research underscores the significance of sentiment analysis in understanding user interactions and enhancing the credibility of cryptocurrency investment platforms.
Question Similarity Detection in Indonesian Language Consumer Health Forums with Feature-based Binary Classification Approach Irianti, Eka Putri
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4264

Abstract

Two questions are considered similar if the same response can be given to both. Due to the increase in users of consumer health forums, a growing number of similar questions are not being adequately answered. Identifying duplicate questions in online medical Question Answering (QA) forums offers several advantages for users and medical professionals. Therefore, it is crucial for online medical QA forums to identify similar questions to provide relevant and useful answers. This study examines a feature-based binary classification method for detecting similar questions in the Indonesian consumer health domain. The results indicate that the feature-based classification approach using the CatBoost model yields the best performance. The research also explores techniques to address class imbalance in the dataset, finding that imbalanced learning technique such as ADASYN and SMOTE results in improved classification performance. This study also analyzes discriminative features for identifying semantic similarity between question pairs, concluding that a combination of distance, medical, and encoding features produce the best results.
Analisis Pengaruh Gratifikasi Sosial Media TikTok terhadap Transactive Memory System (TMS) dalam Adopsi Informasi Kesehatan Obesitas Cahyaningtyas, Astri; Hidayanto, Achmad Nizar
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4269

Abstract

Obesity has become a global issue with increasing prevalence across various age groups, including children and adults. Obesity increases the risk of non-communicable diseases such as diabetes, heart disease, and cancer. Accurate health information is crucial for the prevention and management of obesity in Indonesia. However, the dissemination of inaccurate information on social media platforms like TikTok poses significant challenges. This study analyzes the motivation behind the adoption of health information via TikTok by integrating the Uses and Gratification Theory (UGT) and the Transactive Memory System (TMS). Data were collected from 255 respondents through an online questionnaire. The data were analyzed using SmartPLS with PLS-SEM. The results of the study indicate that gratifications such as social interaction and personalization have a significant influence on all dimensions of TMS. Furthermore, all three dimensions of TMS significantly impact information adoption. These findings provide insights into the utilization of TikTok for health education related to obesity in Indonesia.

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