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Tri A. Sundara
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tri.sundara@stmikindonesia.ac.id
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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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Pengukuran Tingkat Kesadaran Keamanan Informasi Pegawai Pada Instansi Pemerintah Krisna Maria Rosita Dewi; Yudistira, Ricko Dwiki; Ruldeviyani, Yova
The Indonesian Journal of Computer Science Vol. 13 No. 2 (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.v13i2.3950

Abstract

Human Resources (HR) have become a factor that affects the success of e-government implementation in the era of rapid technological development. However, HR also play a role in creating information security risks for the organization. In order to deal with information security risks, BMKG implemented an information security management system by implementing ISO/IEC 27001:2013 in 2020. It also plans to implement it at three locations of the BMKG Regional Office. Therefore, this study aims to measure employees' level of information security awareness at the three locations using the Knowledge, Attitude, Behavior (KAB) concept and the HAIS-Q method combined with the information asset management sub-area of the KAMI’s Index. The results showed that employees' level of information security awareness is classified in the good category with a value of 81.67%. Some areas that need to be improved are password management (79.81%), mobile computing (75.59%), and incident reporting (79.81%). Regional Center A has the lowest employee information security awareness level, with an average score of 79.75%.
Analysis of User Satisfaction while Implementing New Self Order Kiosk (SOK) Technology Using the TAM and Smart PLS Methods Muhammad Aizar Aisyun Niam; M. Tutuk Safirin; Ahmad Kurniawan
The Indonesian Journal of Computer Science Vol. 13 No. 3 (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.v13i3.3951

Abstract

Self Order Kiosk (SOK) is machines used for  ordering process. Each SOK machine, equipped with a state-of-the-art touchscreen, displays a variety of menu options, including food, drinks, snacks, and ice cream. When customers place orders through these machines, their orders are sent directly to the kitchen monitor. This allows kitchen staff to immediately prepare and serve the orders quickly and accurately, reducing customer waiting times. However, there have been several complaints from customers about the ordering process using the SOK machines, indicating that there is still room for improvement in the service. Given these issues, researchers are increasingly interested in using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method in this research and Technology Acceptance Model (TAM). PLS-SEM is an analysis technique that enables the simultaneous testing of relationships among multiple dependent and independent variables. TAM is a method designed to examine user attitudes towards technology. Each variable can be a factor or a construct composed of several indicators. The research results led to the conclusion that the perception of the usefulness and ease of use of the Self Order Kiosk (SOK) machine significantly influences the acceptance behavior of SOK technology.
Diagnosis Penyakit Tanaman Kopi Robusta Menggunakan Metode Dempster Shafer Berbasis Sistem Pakar Acihmah Sidauruk; Panggih Suseno; Budy Satria; Mulia Sulistiyono
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.v13i4.3953

Abstract

Robusta coffee is a coffee variety that has unique characteristics, a strong taste and a different level of bitterness from Arabica coffee because Robusta coffee contains lower sugar and 2.2% more caffeine than Arabica coffee so that Robusta coffee production is quite helpful for the economy. several coffee producing countries in the world. The quality and productivity of coffee plants can decrease due to several factors such as pests and disease. However, the limitations of experts regarding coffee plant diseases are a factor and obstacle. The aim of this research is to create an expert-based intelligent system to identify pests and diseases in robusta coffee plants. The method that will be applied is Dempster Shafer. Data on disease names amounted to 13 and data on symptoms amounted to 27. The final result was that Robusta coffee plants were tested for expertise on the system with an average accuracy of diagnosis results of 94% from 13 test cases on pests and diseases of coffee plants, so it can be concluded that the system Experts can diagnose coffee plant pests and diseases very well using the Dempster Shafer method
Enhancing Banking Services through Data-Driven ATM Placement Strategies: A Case Study of PT Bank Rakyat Indonesia Rifki Fadillah Akbar
The Indonesian Journal of Computer Science Vol. 13 No. 5 (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.v13i5.3955

Abstract

This research optimizes the placement strategy for new Automated Teller Machines (ATMs) at PT Bank Rakyat Indonesia (BRI). The study employs a data-driven methodology that integrates data preparation, clustering techniques, and coefficient calculations to identify the most suitable ATM locations. This approach goes beyond static models by incorporating customer behavior and transaction data. The methodology utilizes a two-pronged approach. The first phase assesses the potential of various districts for ATM placement, considering factors such as demographics, transaction patterns, and competitor presence. K-means clustering is then employed to prioritize districts with the highest potential for benefiting from additional ATMs. The second phase involves calculating coefficients by analyzing correlations between existing ATM distribution and district potential scores. This analysis provides data-driven recommendations for the optimal number of new ATMs in each district. By leveraging robust methodological framework, this research offers valuable insights for strategic decision-making and resource allocation. The proposed approach can enhance banking service accessibility across diverse regions, improve customer satisfaction, and contribute to the optimization of BRI's ATM network.
English English Annisa Sajidah; Muhammad Rifki Shihab
The Indonesian Journal of Computer Science Vol. 13 No. 3 (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.v13i3.3957

Abstract

Current technological developments encourage companies to re-evaluate their organizational business models to take advantage of technological advances. This research explores the impact of information technology in business model transformation at peer-to-peer lending company. PT XYZ is one of a financial technology (fintech) company in Indonesia which was originally engaged in the traditional lending and borrowing business and then transformed into peer-to-peer lending and then developed Supply Chain Financing (SCF) with a Business to Business (B2B) scheme which was previously only done by banks. The IT Impact Map analysis conducted in this study shows this company’s strategic transformation in adopting technology, IT has an impact on company strategy and value through business process reengineering and allows companies to capture new opportunities.
Implementasi Sistem Informasi Bimbingan Konseling Pelanggaran Siswa Dengan Sistem Point Wahyu Setiawan; Septiano Anggun Pratama; Wirdayanti; Yuri Yudhaswana Joefrie
The Indonesian Journal of Computer Science Vol. 13 No. 3 (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.v13i3.3958

Abstract

Computer technology is currently advancing rapidly. Almost every sector of work relies on computer technology for data processing, including in the field of education, particularly in counseling services. Based on monitoring and direct interactions with teaching staff at SMK Negeri 3 Palu, it is revealed that there is currently no system available that can manage student violation incident data optimally. Instead, the process still relies on manual recording, where teachers record student violations and then submit them to the Counseling Unit (BK). Manual information management is vulnerable to the risk of data loss and information overlap. To address this situation, this research intends to develop a Web-Based Student Violation Counseling Information System with a Point System at SMK Negeri 3 Palu, focusing on improving efficiency and transparency in the point allocation process. In this study, the approach applied is the Waterfall model. With the adoption of this system, the identification of the most frequently occurring student violations becomes more detailed.
Designing Supply Chain Resilience With a Quality Function Deployment (QFD) Approach at PT. XYZ Rizka Novitasari; Ernawati, Dira
The Indonesian Journal of Computer Science Vol. 13 No. 3 (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.v13i3.3959

Abstract

PT. XYZ is a leading company in the palm oil industry, but there are still problems that need to be addressed in its supply chain management. The problems include 3% product returns from cooking oil shipments to distributors under the brands Sania cooking oil, Fortune cooking oil, Sovia cooking oil, and Siip cooking oil. In addition, there are fluctuations in demand, an increase in demand of 170% with a demand of 20,774 tons and a decrease in demand of 59% with a demand of 7,225 tons at an average monthly production of 12,195 tons. This research aims to design Supply Chain Resilience with a Quality Function Deployment (QFD) approach. This QFD approach uses a 3-level HOQ. HOQ 1 assesses the relationship between customer needs and potential risks, resulting in risk prioritization. HOQ 2 assesses the relationship between potential risks and risk causes, resulting in the prioritization of risk causes. HOQ 3 assesses the relationship between risk causes and resilience measures, resulting in the prioritization of resilience measures. From the research results, 20 resilience measures were obtained and the 5 highest ranks were obtained as priority resilience measures, namely insurance, marketing quick response, product quality, customer relations, preventive maintenance and repair. The results of the resilience measure design are expected to be used as risk mitigation for the company.
Waste Analysis In Delivery Process Using The Lean Distribution Method Adhella Ika Putri; Ernawati, Dira
The Indonesian Journal of Computer Science Vol. 13 No. 3 (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.v13i3.3960

Abstract

In the current era of globalization, the existence of goods delivery service companies supports almost every area of human life. In the process of delivering goods, PT. X always strives to provide fast and precise service. However, the problem faced by the company is the long lead time for delivery of goods. This study employs a lean distribution approach, applying Value Stream Mapping and identifying waste using the 8 waste framework. The research findings revealed waiting recapitulation of 20%, excess processing of 18%, overproduction of 17%, defects of 13%, non-utilized talent of 10%, inventory of 9%, transportation of 7%, and motion of 6%. With proposed improvements, the delivery process time can be reduced from 8243 minutes to 5929 minutes.
The Influence of ERP-SAP Implementation and Inventory Management on Production Efficiency through Inventory Control Performance Using Partial Least Square (PLS) Method Pradata, Amelia Putri; Ernawati, Dira
The Indonesian Journal of Computer Science Vol. 13 No. 3 (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.v13i3.3961

Abstract

PT XYZ is the largest manufacturing company in Indonesia that produces biscuits with the support of the SAP system, which has integrated data from each division, especially the inventory control division. Due to the accessibility of real-time data, it was observed that there were two late arrivals of raw materials, causing the company to only achieve 75% of the weekly production target. Therefore, this study aims to determine the effect of ERP-SAP implementation and inventory management on smooth production and provide recommendations for improvement through inventory control performance at PT XYZ. The method used is Partial Least Square (PLS) which uses SmartPLS. Based on the research conducted, it was found that the implementation of ERP-SAP does not have a positive impact on production flexibility, but has a positive impact on inventory management performance, and then inventory management directly positively affects production efficiency and inventory control performance
Evaluasi Evaluasi Implementasi Scrum dengan SMM dan AMM: Studi Kasus Perusahaan Telekomunikasi PT XYZ: Atissalam, Lintang Wisesa; Aji, Rizal Fathoni
The Indonesian Journal of Computer Science Vol. 13 No. 3 (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.v13i3.3962

Abstract

PT XYZ is a telco company with more than 34.3 million users in Indonesia. PT XYZ adopted the Scrum framework in 3 projects of MyXYZ application development. The percentage of completion of each project in each sprint during the last year didn't reach 100%. This indicates there are problems in each sprint that could be slow down the release time of the newest feature and waste higher revenue potential. The Scrum Maturity Model is used to measure the maturity level of Scrum implementation. Data collection was carried out using the Scrum Assessment Questionnaire which consists of 70 questions. The questionnaires were given to 1 Scrum Master, 2 Product Owners and 4 Development Team members from each project. The data was then analyzed using the Agile Maturity Model key process area rating. As a result, Scrum implementation at PT XYZ is at level 3. Standardization and disciplined implementation of Scrum retrospectives are needed to be able to raise the maturity level to the next level.

Page 56 of 113 | Total Record : 1127

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