cover
Contact Name
Tri A. Sundara
Contact Email
tri.sundara@stmikindonesia.ac.id
Phone
+628116606456
Journal Mail Official
ijcs@stmikindonesia.ac.id
Editorial Address
Jalan Khatib Sulaiman Dalam 1, Padang, Indonesia
Location
Kota padang,
Sumatera barat
INDONESIA
The Indonesian Journal of Computer Science
Published by STMIK Indonesia Padang
ISSN : 25497286     EISSN : 25497286     DOI : https://doi.org/10.33022
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.
Articles 1,170 Documents
Meta-Interface Analysis for Interaction in Mobile Augmented Reality Firmanda, Ardiman; Sukaridhoto, Sritrusta; Rante, Hestiasari; Miranto, Cahya; Evianita Dewi Fajrianti; Prasetyaningsih, Sandi
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3058

Abstract

Mobile Augmented Reality has expanded including the cultural heritage sector. Among the options offered is the digitization of cultural heritage. Multiple technical breakthroughs has implemented, including hand gesture recognition and body tracking, into mobile augmented reality systems. The success of these improvements depends on a good user interface. Meta User Interface (Meta-UI) allows significant information to be displayed without interfering with system operation. The results of the analyses that the Meta-UI user interface could aid users in employing hand gestures and body motion capture on this mobile augmented reality without any issues and could deliver information about batik efficiently. PIECES Framework testing confirmed this, with a satisfaction score of 4.40 to 4.55. Using the PIECES Framework concepts and questionnaire that focus on user satisfaction with mobile augmented reality, the score indicates that the user is satisfied.
Implementasi Modul Pembelajaran Berbasis Virtual Reality untuk Pendidikan Kedokteran Al Hafidz, Ilham Achmad; Sukaridhoto, Sritrusta; Muhammad Udin Harun Al Rasyid; Rizqi Putri Nourma Budiarti; Rachma Rizqina Mardhotillah; Rizki Amalia; Evianita Dewi Fajrianti; Naufal Adi Satrio; Amma Liesvarastranta Haz
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3059

Abstract

The Corona-Virus Disease 2019 (COVID-19) pandemic has impacted all levels of society and has disrupted all aspects of life, including education. On the other hand, the current crisis is rekindling the need for online learning opportunities and virtual education programs. Most medical schools have responded to this by turning to online or video-based learning. In the face of a pandemic, maintaining standards in medical education, keeping clinical knowledge on track, and minimizing assessment disruptions are complex tasks to complete. This new environment requires adaptation to prepare future doctors for their roles better. This research will implement an immersive medical learning platform by integrating the real immersive experience of Virtual Reality (VR) into medical education. The use of VR in this study has given satisfaction to users through the PIECES framework analysis by getting a score between 3.9 - 4.2 from the measurement of user satisfaction which means that users are satisfied with the offerings and services of this platform.
Perancangan Alat Pemberi Pakan Ikan Otomatis dengan RTC DS3231 Berbasis Microcontroller Arduino Uno Yuda Febryanto; Teuku Radillah; Kiki Ameliza
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3063

Abstract

Fish feed is a mixture of various food ingredients (commonly called raw materials), both vegetable and animal, which are processed in such a way that they are easy to eat and digest as well as a source of nutrition for fish that can produce. energy for their lives. Fish farming is a hobby that many people enjoy from the past until now because of its easy care and maintenance. It's just difficult when a person travels for a long time to several days and thinks of feeding his pet fish. This research was designed with library methods and practical methods. The result of this research is that by making a tool that can make it easier for someone to feed, then the time it takes for the tool to provide 2.4 grams of feed is 1 second. with this automatic feeding tool it can make it easier for ornamental fish fans in feeding fish from manual system moved to automatic system.
Sistem Pendukung Keputusan Menentukan Mitra Berprestasi di Halal Mart Menggunakan Metode AHP – WASPAS Aprilia, Nia; Zufria, Ilka
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3070

Abstract

PT Herbal Penawar Alwahida Indonesia, known as HNI-HPAI, is one of several companies in Indonesia as a Halal Network business that focuses on providing various quality and halal consumer goods products. With the number of partners spread throughout Indonesia, human resource management is important for the development and progress of the company. Along with its development, the selection of outstanding partners has so far been done manually, which is directly selected by the mentor from the partner and does not pay attention to the criteria. Therefore, we need a decision support system (DSS) in determining partners who excel by taking into account the weight of the criteria. That way it produces a clear and time-consuming calculation where the calculation begins to determine the variables used to calculate the value of errors or optimize the estimation or selection of the highest and lowest values.
A Heterogeneous Hybrid Cloud Storage Service Using Storage Gateway with Transfer Acceleration and Diff Algorithm Jamal Abdul Nasyir; Idris Winarno; Udin Harun Al-Rasyid
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3071

Abstract

Recently, the cloud service has the potential to replace conventional cluster and grid systems. The objective of migrating apps to the cloud is to minimize maintenance and procurement expenses while simultaneously boosting scalability and availability. However, embra=cing cloud technology created some challenges, such as the complexity of cloud storage. In addition, many clients underestimate if it is not plug-and-play. Each vendor has its access methods, and nonstandard application programming interfaces (APIs) make integrated applications, such as archiving or sharing data with cloud storage, complicated, costly, and require high throughput. Furthermore, organizations did not have many alternatives for implementing high-performance object storage systems in the cloud and on-premises data centers until now. In this paper, we would like to suggest a storage gateway as a solution to this issue and will optimize it using Transfer Acceleration and Diff algorithms to improve the performance, Intelligent Tiering to reduce costs, and Server-Side encryption for extra protection. Moreover, utilizing Storage Gateway has proven can provide more efficient integration between the on-premises data center environment and the AWS Cloud Storage ecosystem that is safer and more reliable. This technology can work in a common data center environment regardless of the vendor used by the company it can communicate seamlessly with the AWS Environment.
Scrum Implementation in Development of Online Research Application Sundara, Tri; Setiawan, Dilly; Subkhan, Farid; Kautsar, Fitrah Rahmat
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3072

Abstract

Researchers often need a way to obtain research data through an online survey. Therefore a web-based online research application could be developed to address these needs. By using Scrum methodology, the online research application was then developed in which some challenges were found such as consistency of logic between developers in a team, relationships between different user modules, and shared debugging, among others. The challenges could be addressed by compliance with Scrum best practices and standards.
Convolutional Neural Network – Long Short Term Memory Untuk Prediksi Harga Emas Indonesia Susi Handayani; Taslim Malano; Dafwen Toresa
The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i3.3074

Abstract

In the economic field, gold generally has three main functions, namely the monetary function, investment and industrial functions. In the financial world, prediction of the trend of gold price fluctuations is an important issue. Convolutional neural network algorithm is one of the popular algorithms in the image classification domain. But this algorithm can also be applied to 1-dimensional problems, such as predicting the next value in a sequence, be it a time series or the next word in a sentence. In this study, the Convolutional Neural Network algorithm was optimized with long shot time memory to predict the price of Indonesian gold from 1979 to 2021 with a total of 511 records. The test was carried out with three different epoch values, namely 50, 100 and 150 with a validity test using RMSE. From the test results, the smallest RMSE train value and RMSE validation are generated at epoch 150, which is 0.0138 for RMSE train and 0.0402 for RMSE validation.
Utilization of Blockchain for Marine Products Tracking Stephane, Ilfa; Saputra, Heru; Alhaj, Nasrudin; Putra, Lakry Maltaf
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3075

Abstract

Many marine product companies currently have not implemented blockchain potentials in tracking systems. There could be found many errors in the transactions record. The purpose of this research is to implement blockchain as a fraud prevention system for transactions in marine product companies. This research is qualitative-exploratory research with data collection using documentation techniques from related literature. This study concludes that Blockchain can be used as an alternative to fraud prevention. Blockchain can be used because there is transparency with a distributed system, which makes the whistleblowing system more effective and independent, in fully implementing the principles of GCG (Good Corporate Governance). The results of the advanced system designed at a marine product company are to facilitate data collection of all goods to be sent this providing high-security guarantees because it implements a blockchain security system in this system, and places an integrated tracking system so that data and goods sent during the transaction can be tracked.
Implementasi Particle Swarm Optimization untuk Optimasi Fuzzy-Social Force Model pada Sistem Navigasi Robot Omnidirectional Anugerah Wibisana; Bima Sena Bayu Dewantara; Dadet Pramadihanto
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3076

Abstract

Particle Swarm Optimization (PSO) is a swarm-based optimization method that is easy to implement and requires only a few parameters to set. This study aims to implement PSO to optimize the Fuzzy-Social Force Model (FSFM). FSFM combines the Social Force Model (SFM) as a navigation algorithm and the Fuzzy Inference Rule (FIS) to produce adaptive gain on SFM to create a mobile robot navigation system that is more responsive to obstacles. The PSO implementation optimizes fuzzy rules to be more optimal when the mobile robot navigates into social spaces. From the experimental test results on the VREP simulation software, cognitive parameter c1 = 1 and social parameter c2 = 2 produced the best navigation performance compared to other test parameter values.
Sistem Alert Warning Monitoring Masa Tenggang Kontrak Rheza Pratama; Muhammad Irwan Padli Nasution
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3077

Abstract

PT Superintending Company of Indonesia (Persero) (referred to as SUCOFINDO) is a State-Owned Enterprise established between the Government of the Republic of Indonesia and SGS. At this time PT. Sucofindo (Persero) cooperates a lot with other companies, a total of 3458 external supply companies are active in the procurement of goods and services, so that often employees in the general function section have problems remembering the time of the cooperation contract. At this time the general function is still using the system in a way where employees still have to manually input data from every activity of procurement of goods and services in Microsoft Excel. the system used is deemed less effective and efficient, making it difficult to obtain information on a procurement contract. This research was conducted to facilitate the monitoring of a contract. The system uses the PHP programming language and MySQL database. The results of this study are a web-based monitoring information system that provides warning alerts if the contract is in the grace period, as well as providing other information about the stages of the process that have been carried out in a contract.

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