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IPTEK The Journal for Technology and Science
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : 08534098     EISSN : 20882033     DOI : -
Core Subject : Science,
Computer Science & IT
IPTEK The Journal for Technology and Science (eISSN: 2088-2033; Print ISSN:0853-4098), is an academic journal on the issued related to natural science and technology. The journal initially published four issues every year, i.e. February, May, August, and November. From 2014, IPTEK the Journal for Technology and Science publish three times a year, they are in April, August and December in online version.
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol 34, No 2 (2023)" : 6 Documents clear
Analysis of Level Team Effectiveness in The Implementation of Scrum Using Evidence-Based Management (Case Study: Company A as A Fintech Industry) Putri, Riski Puspa Diangga; Fatichah, Chastine
IPTEK The Journal for Technology and Science Vol 34, No 2 (2023)
Publisher : IPTEK, DRPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v34i2.15789

Abstract

In implementing Scrum in Company A, which is a fintech company, there is a Scrum Master who is responsible for ensuring the effectiveness of the Scrum team. The Scrum Master of Company A still uses the velocity chart to measure team effectiveness. Still, the use of the velocity chart itself cannot describe the level of responsiveness of the team in delivering products to users. In this study, the applica- tion of EBM is used as a metric to replace the velocity chart in analyzing the level of effectiveness of the Scrum team in Company A. Through FGDs with senior Scrum Masters. The EBM metric was selected to be used in the analysis. The application of EBM is carried out by collecting primary data from each team and secondary data from company data. Data from each team was analyzed and weighted. The results of this study indicate the effectiveness score of each team. Based on these scores, the Scrum Master can determine which team’s process needs to be improved. This research can be used as an illustration for companies that implement Scrum in mea- suring the effectiveness of Scrum teams.
Probabilistic Scheduling Based On Hybrid Bayesian Network–Program Evaluation Review Technique Adi, Tri Joko Wahyu; Rachmawati, Farida; Rizky, Safira Yulia
IPTEK The Journal for Technology and Science Vol 34, No 2 (2023)
Publisher : IPTEK, DRPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v34i2.16693

Abstract

Project scheduling based on probabilistic methods commonly uses the Program Evaluation Review Technique (PERT). However, practitioners do not widely utilize PERT-based scheduling due to the difficulty in obtaining historical data for similar projects. PERT has several drawbacks, such as the inability to update activity dura- tions in real time. In reality, changes in project conditions related to resources have a highly dynamic nature. The availability of materials, fluctuating labor productiv- ity, and equipment significantly determine the project completion time. This research aims to propose a probabilistic scheduling model based on the Hybrid Bayesian Network-PERT. This model combines PERT with Bayesian Network (BN). BN is used to accommodate real-time changes in resource conditions. The modeling of BN diagrams and variables is obtained through an in-depth literature review, direct field observations, and distributing questionnaires to experts in project scheduling. The model is validated by applying the proposed model to a 60 m concrete bridge construction project in Indonesia. The simulation results of the proposed model are then compared with the case study project to assess the model’s accuracy. The result of the study shows that the proposed hybrid Bayesian-PERT model is accurate and can eliminate the weaknesses of the PERT method. Besides being able to provide an accurate prediction of project completion time (93.4%), this model can also be updated in real-time according to the actual condition of the project
Deposition Silver Based Thin Film on Stainless Steel 316l as Antimicrobial Agent Using Electrophoretic Deposition Method Purniawan, Agung; Noerochim, Lukman; Widagdo, Laurentius Aditya; Sinaga, Ditta Gabriella
IPTEK The Journal for Technology and Science Vol 34, No 2 (2023)
Publisher : IPTEK, DRPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v34i2.16851

Abstract

SUS316L stainless steel has been widely used in medical applications. However, some germs frequently adhere to the device surface, resulting in infections following implantation surgery. Unfortunately, the material lacks antibacterial characteristics that prevent microorganisms from adhering to the surface. This study aims to use electrophoretic deposition to deposit chitosan/silver (Ag) as an antibacterial agent on stainless steel 316L. The antimicrobial effects of chitosan and silver are well established. During the deposition, the rectifier voltage was adjusted to a constant 10 volts with a suspension pH range of 2.7 to 5.1. The effect of varying the pH of the suspension on the physical, mechanical, and antibacterial properties of chitosan/Ag thin films was investigated. The materials’ structure and morphology were studied using X-ray diffraction (XRD), scanning electron microscopy (SEM), and Fourier- transform infrared spectroscopy (FTIR). The antimicrobial inhibition was examined using the Kirby-Bauer antimicrobial test. The results reveal that increasing the pH of the suspension causes an increase in the thickness, size, and aggregation of the chitosan/Ag thin film. The highest thickness achieved during deposition with a pH 5.1 suspension is 5.265 ?m. The best antibacterial agent is achieved at a pH 3.5 suspension sample with an inhibitory zone diameter of 4 mm
Understanding the Factors that Influence Digital Readiness in Education: A UTAUT Study among Digital Training Learners Nguyen, Vinh; Nguyen, Chuyen; Do, Cuong; Ha, Quynh
IPTEK The Journal for Technology and Science Vol 34, No 2 (2023)
Publisher : IPTEK, DRPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v34i2.17619

Abstract

Digital transformation is a critical element in modern business operations. Yet, more research needs to be conducted from the perspective of individuals responsible for implementing DT initiatives in their daily work, such as faculty and staff. This study investigates the relationship between digital readiness in education and the constructs outlined in the Unified Theory of Acceptance and Use of Technology (UTAUT) model. We employed a purposive, non-probabilistic sampling strategy to gather data, resulting in 165 observations. The experimental results indicate a significant positive relationship between behavioral intention to adopt digital trans- formation and the behavior of applying digital transformation at work, perceived effectiveness of digi- tal transformation adoption, and facilitating conditions, all in line with the UTAUT model. However, we did not find a significant relationship between effort expectancy or social influence and behavioral intention to adopt dig- ital transformation. Under- standing the factors that impact digital readiness enables universities to develop targeted interventions and support services to promote the successful implementa- tion of DT initiatives in education.
Effect of Rainfall on Digital/Analog Television Signals Onaifo, Frank; Okandeji, Alexander Akpofure; Okubanjo, Ayodeji Akinsoji; Abdulsalam, Khadeejah; Alao, Peter
IPTEK The Journal for Technology and Science Vol 34, No 2 (2023)
Publisher : IPTEK, DRPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v34i2.16255

Abstract

Rainfall has a strong negative impact on television (TV) signals, most especially at the receivers’ end. This is due to the propagation effect caused by atmospheric rain absorption of the wave signal. Television signals may reach the TV receiver unstable due to interferences caused by heavy rainfall, which creates undesirable poor-quality reception and noise. The effect of rain-induced attenuation on television signal reception is not enviable, especially when it is heavy. Consequently, this work aims to analyze the correlation between received signal strength and frequency of transmission during rainfall. The received signal strength measurements and rainfall data were collected concurrently during dry days and rainy days to achieve this aim. These readings were taken with a signal strength meter and other mobile phone software such as the rain gauge app, compass, etc.). Results show that rainfall leads to a noticeable degradation in the quality of received signals. Specifically, the data obtained were simulated, and it was observed that attenuations increase sharply as the rain rate increases. In particular, when the frequency is about 1080 GHz and the wavelength is low, there tends to be a disturbance between the drops of rainfall, which causes attenuation and results in low signal strength. To conclude, this work proposes a possible solution that is favorable to all television subscribers during rainfall.
Determination of Location and Severity of Nodules on Lung Cancer CT Image Using YOLO Methods Ramadhani, Hanun Masitha; Fatichah, Chastine
IPTEK The Journal for Technology and Science Vol 34, No 2 (2023)
Publisher : IPTEK, DRPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v34i2.16821

Abstract

The severity of lung cancer can be used to determine appropriate treatment measures and reduce the risk of death. The severity identification is monitored based on the size and location of the nodule. However, previous studies still focused on determining the location of nodules without identifying their severity. In this study, the severity of lung cancer is detected based on the size of its nodules. This research contributes to the annotation of severity to the Lung Image Database Consortium image collection (LIDC-IDRI) dataset and the development of automatic severity detection using You Only Look Once (YOLO) methods. The data is given a severity level based on the nodule size calculated based on the number of pixels in the nodule length. Automatic detection is done using YOLO methods, which consist of several versions, namely YOLOv5, YOLOv7, and YOLOv8. YOLO methods can properly detect the location and severity of cancer nodules with the IoU evaluation results obtained using YOLOv5, YOLOv7, and YOLOv8, which are 0.86, 0.6, and 0.87, respectively. From the experiment, it can be concluded that determining the location and severity of cancer based on nodule size using YOLO methods is proven effective and can be done in real-time.

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