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Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC)
Published by Universitas Respati Yogyakarta
ISSN : 29856914     EISSN : -     DOI : https://doi.org/10.35842/icostec
Core Subject : Science,
Computer Science & IT
ICoSTEC is an annual forum for international researchers and students to exchange ideas on current studies and research topics. The international conference will discuss several sub-topics, including innovation in information science and technology and leveraging globalization.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 57 Documents
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Smart Security in Smart City Using Naïve Bayes and RSA Junaidi Junaidi; R Roslina; B. Herawan Hayadi
Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/icostec.v2i1.41

Abstract

As all major cities adopt the concept of smart cities, concerns arise among the public regarding data security and privacy. The constant threat of attacks on confidentiality, integrity and accessibility of data makes it vulnerable to cyber attacks. The increasing use of IoT devices also increases the potential for cyber attacks that can harm all IoT users. Therefore, it is crucial for city governments to be aware of data security issues related to smart spaces, services, and citizen security, and to provide solutions to existing problems by making maximum policies related to the implementation of smart city concepts. From the above explanation, the author is taking the analysis step with the title "Analysis of Naive Bayes Classifier and Rsa (Rivest Shamir Adleman) Combination in Smart Security in the Implementation of Smart City in Pemko Medan" where the benefits that can be obtained are to gain deeper understanding of Smart Security level, obtain information about the Smart Securty level, and classify the stage of Smart Securty using the combination of Naive Bayes Classifier and Rsa (Rivest Shamir Adleman) in the implementation of Smart City in Pemko Medan.
Optimization of the Near Miss Reporting System in Achieving Zero Accidents at PTPN IV ADOLINA Garden (SIRISKA Online Smart Application) Umi Salmah; Sri Malem Indirawati; Risanti FR Situmorang; Pauzi Ibrahim Nainggolan
Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/icostec.v2i1.42

Abstract

A large number of accidents begins with the number of near misses and the magnitude of work risks experienced by workers, so control efforts are needed as early as possible. This study uses quantitative research using the SIRISKA smart online application (Occupational Risk Mapping System) involving sections clerks and oil palm harvesters as respondents. There were 3 cases of work accidents, and there was a near-miss hazard at each stage of oil palm harvesting. The near-miss hazards that can occur are being cut by an sickle or an axe, falling by an sickle, being crushed by a frond, being hit by a fibre, or being pierced by a palm thorn which must be recorded and reported. By optimizing the reporting system using the SIRISKA smart online application, it is hoped that zero accidents can be achieved at PTPN IV Adolina Garden.
The Larvae Project Application as a Digital Image for monitoring the Larvae Free Index in DHF endemic areas in Tebing Tinggi city Sri Malem Indirawati; Pauzi Ibrahim Nainggolan; Umi Salmah; Dhany Syahputra Bukit; Indra Chahaya
Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/icostec.v2i1.43

Abstract

The number of dengue cases in Tebing Tinggi, North Sumatra province has fluctuated. The number of DHF cases in 2021 was 87 cases, then it was increase in 2022 to 175 cases. This number is still relatively high considering that the indicator for DHF morbidity is 20/100,000 population. Efforts to control the DHF vector have been carried out but have not been maximal in reducing cases. One House One The Larvae Observer Movement as the effort to optimizing Mosquito Nest Eradication (MNE) and 3M Plus in the Community has been carried out but determining the larvae free index (LFI) and larval density using a house survey requires time and The Larvae Observer's accuracy in seeing the type and presence of mosquitoes. Utilization of technology with digital images can address this imbalance in The Larvae Observer's tasks. LFI data can be directly reported along with a map of the location of the house with positive larvae so that time is more efficient and the presentation of information is more accurate. This study aims to determine the zoning of potential DHF areas using digital images technology in monitoring the presence of larvae. This type of research was an analytic survey with a cross-sectional design. The population of this study were all houses located in endemic areas, a sample of 500 houses representing 5 districts was taken by purposive sampling. Data collection uses the kobotoolbox which contains questions about the condition of the house, TPA and its type. Larvae application with digital image to identify the presence of larvae and map positive larvae houses. Spatial analysis was used to map the zoning for the presence of Aedes aegypti larvae and larvae free index (LFI), HI, CI and BI. The results showed that the maps of 5 sub-districts representing 5 sub-districts in the city of Tebing Tinggi, all of them have potential risks because LFI <95%, HI 13-35%, Ci 6.5 -13.4%, BI 20-50%, LFI 65-87% .
Dealing with applications in Industrial IoT Radhika Sreedharan
Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/icostec.v2i1.44

Abstract

Industrial Internet of Things (IIoT) also known as Industry 4.0, consists of industries that utilize IoTs to facilitate logistics, manufacturing, transportation, oil and gas, energy/utilities, mining and metals, aviation, and others. Though a lot of companies have proceeded into a lot of areas utilizing IIoT, its applicability in a lot of is still not explored and remains unpredictable. Its evolution is similar to that of the Internet in the early 90s, where it initially appeared and slowly gained momentum in the 20th century to almost becoming and indispensable aspect of human life in the 21st century. Robotics and control are already a part of most of the manufacturing companies, however, when it comes to real-time applications in manufacturing, IIoT may not come to the rescue. Another aspect that separates the internet and IIoT is that the internet is based on the bet effort delivery model which is acceptable for e-commerce and man-machine interactions. However, failures in an IIoT scenario such as air-traffic monitoring, automated manufacturing can have serious consequences. Industry 4.0 is an initiative taken up by industries to use IoT in industries and many such initiatives have been taken up by different companies and countries. For example, GE has already invested $1billion to improve its asset performance and business operation by using IIoT services. Germany has started an initiative called “Industry 4.0”, a strategic initiative that brought together leaders from private and public sectors as well as from academia to create a detailed plan of action for incorporating digital technologies into German industries. Other countries such as Italy, Netherlands, and France have invested in setting up smart factories and industries. China has also started a project called “Made in China 2025” to integrate digital technologies and industrialization. A major hindrance in adopting IIoT is that the smart devices often speak different “languages” that existing industrial automation software uses, which creates a communication gap, and hence standardization is necessary. Overcoming such bottlenecks and adopting IIoT can help automate the production techniques, for instance, manufacturers could increase their productivity by a margin of 30%. The capabilities of IIoT can be explored in areas such as sensor-driven computing, industrial analytics, and intelligent machine applications. The main aim of this topic is to explain various applications inf IoT in industries
Performance Comparison Between LDR and Phototransistor Sensor for Dual-Axis Sun Tracker Sensor Based on Tetrahedron Geometry Hari Anna Lastya; Yuwaldi Away; Tarmizi Tarmizi; Ira Devi Sara; M Ikhsan; Ulya Zikra; Nikmal Maula Mirda
Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/icostec.v2i1.45

Abstract

Solar energy is optimally obtained by solar cells when the solar cells are perpendicular to the sun's position, so a sun tracker is needed to track the sun precisely. This research compares the electrical power used in two system dual-axis sun trackers with a tetrahedron geometry that uses an LDR sensor with a phototransistor sensor. The two sun trackers are built identically and the experimental data with the servo movement and the solar cell load are carried out side by side. The servo motor controls with Proportional Integral Derivative (PID) algorithm controls the movement of the dual-axis sun tracker. Data were obtained by recording the voltage and current received by the solar cells installed on the two sun trackers and comparing the results. The results showed that the phototransistor sensor performs better than the LDR sensor. This can be seen from the amount of power generated by the phototransistor sensor which is more than the power generated by the LDR sensor on the solar cell. The solar energy received by sun tracker uses a phototransistor sensor average 40% more than sun tracker uses an LDR sensor
Vehicle Monitoring with Web-Based Applications Utilizing High-Precision Positioning Taufan Zandy Andrian; Uke Kurniawan Usman
Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/icostec.v2i1.46

Abstract

Motorized vehicles have facilitated various human activities in everyday life. As technology develops, various features in driving have been added to the vehicle itself. Starting with the aim of adding comfort, even to increase the safety in the use of vehicles. In the current digital era, the vehicle monitoring process has been widely applied, especially in a number of smart vehicles that are integrated with a monitoring system from various vendors. A web-based application or commonly known as webapp, designed by PT. Telkom Indonesia, Tbk. named IndiCar, is an example of a monitoring system, which can be applied to vehicles that are commonly used daily. This is in line with the main goal of IndiCar, which is the digitalization of public vehicles, into smart vehicles. The implementation of monitoring using the IndiCar webapp can make it easier for vehicle users, both in personal and institutional use, to track and diagnose a vehicle, regarding a number of factors such as precise location, track traveled, to the condition of various vehicle components, utilizing a number of sensors applied to the IndiCar system.
Dealing with security issues in IoT Radhika Sreedharan
Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/icostec.v2i1.47

Abstract

IoT (Internet of Things) is related to design of a lot of inter-related “contrived" gadgets having finite capacities with regard to memory and processing power and design is like an Internet. These are frequently battery-driven, raises requirement for adopting environment-friendly techniques. Between the noteworthy ultimatum that establishing interrelated smart objects accompanies are uniformity and coordination. Many smart objects are presumed to develop and addresses of IPv4 are normally utilized. IPv6 is recognized as a possibility for smartobject transmission. Internet of Things (IoT) is a global network of physical and virtual ‘things’ connected to the internet. All objects have unique IDs that are utilized for identification. IoT is the emerging technology which can change the way we communicate with devices. Hereafter almost every electronic device will be a smart device that will be able to compute and communicate with handheld and other infrastructure gadgets. The Internet of Things utilization builds a lot of security problems, which arises from • Smart objects essence: utilization of cryptographic algorithms which are delicate, with regard to requirements of processing and memory. • Quality protocols utilization and the requirement to reduce the data quantity swapped among nodes. An IoT usage which accumulates or handles consumer distinctive data like bank particulars require a foremost rank of security, while a sensor linked to a station area will have a low rank. It need not be costly to carry out fundamental security steps; but it is significant to determine a security strategy and incorporate recuperation measures in the security problems incidents. The main aim of this topic is to describe mechanisms which can help to deal with IoT security issues.
The Utilization of Blockchain Technology in The Airport Industry: A Review Aan Khunaifi; Fajaryan Wijananto; Karina M Handoyo; M. Rafi Juliansyah; M. Thufaili Imdad; Mukti Wibowo; Tanzi M Santoso; Topan Try Harmanda; Yosi Sahreza; Muhammad Arief
Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/icostec.v2i1.48

Abstract

Blockchain is a digital ledger technology in which transactions are stored in a continuously growing list of blocks that cannot be changed and distributed without a centralized server. In recent years, the airport industry has become one of the industries that have implemented blockchain into its business processes. For this reason, we would like to review existing research on the implementation of blockchain in the airport industry to provide an overview of how far blockchain has developed in the industry and also to identify which business processes in the airport industry can be optimized by implementing Blockchain. The review results show that there are three business processes that take place in airports, namely baggage handling systems, cargo handling, and passenger management for aircraft. Blockchain Technology can also be combined with other supporting technology, such as IoT, Artificial Intelligence (AI) / Machine Learning (ML), Big Data, etc. From the research literature that we analyzed, the combined use of blockchain technology with IoT and AI/ML can increase security in the process of data transactions in the system.
Scales Feature Foot Scanners as Parameters of Flat Feet in Children Adelia Nadyalishandi Nugroho; Nadila Ekasiti Kamarukmi; Abdul Ghufron; Menik Dwi Kurniatie
Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/icostec.v2i1.49

Abstract

The primary function of the legs is to provide the necessary support and encouragement for human bipedal movements. Flat feet or also known as pes planus, is a problem that is often encountered in daily pediatric practice for most children. This study aims to classify the shape of the soles of the feet in children aged 6-9 years to be divided into three parts, namely high arch, normal arch and flat arch. Clarke's angel is defined as the angle obtained by a tangent that joins the medial edge of the first metatarsal head and the heel, on the second line connects the metatarsal caput one with the centre of the longitudinal arch of the medial side. Of the 30 children, 66.67% (20 students) had a flatfoot foot shape and 33.33% (10 students) had a normal foot sole shape and none of the students had a cavus arch foot sole shape. The mode in children with normal legs is Enough with a percentage of 60% and in children with flatfoot is bad with a percentage of 75%. This proves the relationship between flatfoot and static balance in children. From the research we conducted, it can be concluded that the featured scales we made can capture the image of a child's feet to identify flat feet and the relationship between flat feet and the static balance of a child. From the research that has been carried out, we compare existing data using three methods. The primary method we use is Matlab software with comparison data using wet footprints and stork stand tests, which shows excellent accuracy and can be a reference for measuring the soles of the feet in the future.
The Factors that Affect Customer Ratings in E-Commerce Company Yossi Naomi Magdalena; Teguh Raharjo; Dana Indra Sensuse
Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/icostec.v2i1.50

Abstract

In developing the e-commerce business in Indonesia, ecommerce companies must maintain customer satisfaction. In the e-commerce company, customer satisfaction can see from the ratings given by consumers. This research aims to find factors influencing consumers in providing ratings to improve services. The company’s current condition does not know the indicators when consumers give ratings. The current situation is decreasing order because the number of bad rating is higher and impact to profit company. This research uses several methods, such as the Unified Theory of Acceptance and Use of Technology (UTAUT), the Technology Acceptance Model (TAM), and product quality that influences ratings. The target respondents are consumers who have given bad ratings and have never been given a rating, with 326 respondents. The statistical analysis processing used was Partial Least Square (PLS) with SmartPLS v.4 tools. The results of the research concluded that the factors that influence bad rating respondents in giving ratings with significant positive results are the factors of perceived ease of use, social influence, and customer satisfaction, with an r-square rating value of 0.354 (moderate). From moderation, the variable with the most significant positive effect is the female gender. Meanwhile, respondents who have never been given a rating that has a significant positive impact are performance expectancy, social influence, and customer satisfaction, with an r-square value for ratings of 0.823 (strong). The results of this research concluded that there are several improvements to improve service, namely improving application algorithms, developing operational teams, and several strategies to overcome the impact of the covid pandemic.

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