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IJISTECH (International Journal Of Information System & Technology)
Published by STIKOM Tunas Pematang Siantar
ISSN : 25807250     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in the computer science and their applications in business, industry and other subjects. The computer science is a branch of engineering science that studies computable processes and structures. It contains theories for understanding computing systems and methods; computational algorithms and tools; methodologies for testing of concepts. The subjects covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, internet computing, networking, scientific computing, software engineering, and their applications etc.
Arjuna Subject : -
Articles 394 Documents
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Criteria For Giving Car Loans to Consumers Using Sugeno's Fuzzy Concept Rio Rahmat Yusran
IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i3.248

Abstract

PT XYZ is a company engaged in car loans. This company sells various kinds of cars with credit payment systems. To ensure that the provision of credit is not bad, there are several criteria that are made by the company in accordance with the criteria that have been set. There are 4 criteria that are used as standards that must be met for consumers so that the car purchase system on credit is accepted. The 4 criteria include the capacity to pay off credit (Capacity), the ability of the customer's capital (Capital), the guarantee owned by the customer to bear credit risk (Collateral) and the customer's financial condition (Condition). The problem in this research is that there are often bad credit consumers who do not pay installments in accordance with the specified time. The purpose of this research is to help companies provide credit to consumers so that they are right on target. The settlement of this case uses Fuzzy Logic which is suitable to be implemented into a computerized system to take a decision. The method used in this study is the Sugeno method using the And operator and taking the MAX value. The final result of this study is in the acceptable range with a value of 196.33 . To see the other criteria, just input each x value into the existing system.
Door Sensor System Based on Arduino Uno Using Short Service Message Liza Fitriana; Indah Permata Sari; R Ramli
IJISTECH (International Journal of Information System and Technology) Vol 6, No 4 (2022): Decembar
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i4.274

Abstract

Theft often occurs at home, office, or warehouse where goods are stored. This action may happen due to many factors, one of them being the weakness of the security system that is implemented. To secure a room, people used to use a door in front of it. Generally, a door is locked by a conventional key to secure the room behind it. Due to the progress of technology, there is an innovation to secure a door room by creating a new security system to replace using the conventional one. This research is designed to make a sensor system based on Arduino Uno using short service messages (SMS). To build the circuit for the sensor system, other components are needed, such as the Magnetic Switch sensor, PIR sensor, buzzer, and SIM800L module. To complete the research in making sensor systems, we do these methods: literature study, observation, and interview in order to make an analysis, design, and implementation. The end result of this research is a better security system for a room that is more safe than a conventional one.
Academic Information Systems And PPDB Base On Web-Android Wirhan Fahrozi; Fitriana Harahap; Fithry Tahel; Erwin Ginting; Dedek Indra Gunawan Hts
IJISTECH (International Journal of Information System and Technology) Vol 6, No 4 (2022): Decembar
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i4.268

Abstract

SMA-SMK Yapim Taruna Belawan is an institution engaged in the field of education. Student registration and reporting of student assessment results at SMA-SMK Yapim Taruna Belawan is a form of service for students/students. In terms of registration, efforts are made to be more effective and for the student assessment process covering all activities in schools to be more effective and efficient by using internet technology facilities in the form of a school academic system. The academic system that is currently operating at the Yapim Taruna Belawan High School and Vocational Schools is not all computerized and cannot be accessed online. In addition, every input of academic data that is stored in the form of sheets of paper is considered less effective and efficient because the administration section will experience difficulties when it comes to recording data when making reports. So that it is hoped that a better system will be formed that can solve these problems by implementing a web-based and mobile internet technology base, so that information can be accessed boldly
Knowledge Management Strengthening Character of Entrepreneurs Students Department of Technopreneur at School of Technopreneur Nusantara Luthfia Fauzia Dewi Aryanti; R. Achmad Rachmat S; Euis Nurninawati; Dedy Prasetya Kristiadi
IJISTECH (International Journal of Information System and Technology) Vol 6, No 4 (2022): Decembar
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i4.262

Abstract

This study aims to improve the entrepreneurial character of STMIC Kuwera students with the knowledge management method. The application of knowledge management with an emphasis on strengthening the character of web-based entrepreneurs is expected to be a solution for the character education needs of STMIC Kuwera students to open up job opportunities for the business world by using technology according to their fields. This research will develop a knowledge management system model and design a prototype of the model developed on entrepreneurial character to be packaged as teaching materials for teachers for students. The methodology used is to perform a contingency factor analysis to obtain the knowledge management system model. The resulting knowledge management system model supports the Socialization, Externalization, Combination, Internalization (SECI) process.
Implementation of the Socata TBM-700 Aircraft as Learning Material for Live Aircraft Practical at Indonesia Civil Aviation Academy - Banyuwangi Hadi Prayitno; Wira Gauthama
IJISTECH (International Journal of Information System and Technology) Vol 6, No 4 (2022): Decembar
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i4.256

Abstract

The increase in air transport transportation traffic after the Covid-19 subside led to increased flight frequency which also increased the need for aircraft maintenance. Good quality aircraft maintenance is also very much needed to avoid accidents due to malfunctions of all systems on the aircraft. Good quality aircraft maintenance can be achieved from qualified aircraft maintenance personnel. To produce qualified personnel, it is necessary to have a strong and deep understanding of personnel knowledge about aircraft, theoretically and practically. This research aims to carry out innovation activities in the form of implementing the Socata TBM-700 aircraft as a live aircraft suitable learning material at the Bayuwangi Aviation Polytechnic. The result of this research is an innovation of live aircraft practical learning at the Bayuwangi Aviation Polytechnic to increase the desire of active teachers at universities under PPSDMPU to be active in processing and utilizing valuable equipment available on campus so that their ability to follow the development of aviation technology can be improved.
Mobile Device Management for the Use of Bring Your Own Device (BYOD) as Company Data Security during the Covid-19 Pandemic Yolanda Mega Puspita; Muhaimin Hasanudin
IJISTECH (International Journal of Information System and Technology) Vol 6, No 4 (2022): Decembar
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i4.269

Abstract

Since the end of 2019 a large outbreak has hit almost the entire world, namely the Covid-19 pandemic. COVID-19 has encouraged millions of employees to change their jobs from coming to the office to working at home. This phenomenon is known as Bring Your Own Device (BYOD).  Good policies and guidelines on the use of BYOD must be followed to prevent some form of security breach and maintain user privacy, confidentiality, integrity, and availability of organisational data, and the same security on the devices of employees who use their own devices to process company data.  To solve these problems, researchers implemented Mobile Device Management with VMware workspace one uem tools to monitor, control and protect mobile devices. The system uses Windows server. The results of the research can be input to the company to secure and monitor company data on employee work devices.
Application of A Decision Support System on Additive Ratio Assessment (ARAS) Method in Determining Best-Selling Korean Snacks S Susliansyah; Heny Sumarno; Hendro Priyon; Linda Maulida; Fintri Indriyani
IJISTECH (International Journal of Information System and Technology) Vol 6, No 4 (2022): Decembar
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i4.263

Abstract

Nikmat group is a franchise company engaged in food and one of the brands owned by the company is GILDAK. GILDAK is a Korean snack business whose branches are everywhere. The different problem faced by each GILDAK branch located in each city is not being able to determine which snack menus are the most sold because consumers' tastes are different in each city, thus causing the franchisee to be inaccurate in determining what raw materials to use. in stock a lot, so as not to cause raw materials to run out. The Decision Support System (DSS) method that will be used in problem solving to determine the best-selling Korean service is the Additive Ratio Assessment (ARAS) method which has six stages such as determining the decision matrix, determining normalization, determining weights, determining normalized matrices, determining the value of the function. optimization and the highest ranking level. The results obtained from these calculations can be seen in the 5th stage, namely the best-selling snacks are Itaewon crispy chicken snacks ranked first with a value of 0.07783 (K1), original corndog snacks ranked second with a value of 0.07426 (K12) and gimpo snacks ranked third. with a value of 0.06907 (K9). It can be said that this method can be applied by companies in decision making.
Comparison of the Multinomial Naive Bayes Algorithm and Decision Tree with the Application of AdaBoost in Sentiment Analysis Reviews PeduliLindungi Application Cecep Muhamad Sidik Ramdani; Andi Nur Rachman; Rizki Setiawan
IJISTECH (International Journal of Information System and Technology) Vol 6, No 4 (2022): Decembar
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i4.257

Abstract

One solution that the Indonesian government has implemented in controlling and tracking COVID-19 cases is using the PeduliLindungi application. User review data on the PeduliLindungi application is available on the Google Play Store, the data can be analyzed to determine the trend of public sentiment towards the PeduliLindungi application using sentiment analysis techniques. One of the methods used for sentiment analysis is machine learning, but in the machine learning method there is a problem, namely the relatively low level of accuracy. In this study, there are 2 machine learning algorithms that are used and compared, namely the Multinomial Naïve Bayes (MNB) and Decision Tree (DT) algorithms combined with the AdaBoost (AB) method to improve the accuracy of the PeduliLindungi application review data classification accuracy. In the experiment conducted, the tendency of public sentiment towards the PeduliLindungi application was 67% positive and 33% negative from a total of 8305 data. Multinomial Naïve Bayes before being combined with AdaBoost produces an average accuracy value of 83,7%, while Decision Tree produces an average accuracy value of 82,8%. After being combined, MNB+AB produces an average accuracy value of 88,8%, while the DT+AB method produces an average accuracy value of 84,1%. The use of AdaBoost can improve the accuracy of the Multinomial Naive Bayes algorithm and Decision Tree for the PeduliLindungi application review data classification process.
ARIMA Method Implementation for Prediction of Oyster Mushroom Production Nita Syahputri; Ommi Alfina; Labuan Nababan; Ulfah Indriani
IJISTECH (International Journal of Information System and Technology) Vol 6, No 4 (2022): Decembar
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i4.270

Abstract

Ad-Dhuha Farm is an MSME (Micro, Small and Medium Enterprises) business engaged in the production of oyster mushrooms. In producing oyster mushrooms for sale, Ad-Dhuha usually estimates based on production logbooks. So that sometimes the results of predictions that are made miss estimates, this is because there is no proper calculation based on the data used so that there is a buildup of oyster mushroom supplies. This affects the progress of MSME businesses (Micro Small and Medium Enterprises) because seeing from the need to pay workers, invoices for operational needs and so on so that MSME businesses (Micro Small and Medium Enterprises) suffer losses. This study uses the ARIMA method to predict the amount of oyster mushroom production in Ad-Dhuha. With the ARIMA method, Ad-Dhuha can predict the amount of production so that there is no accumulation of oyster mushrooms.
Comparison of Response Time of Artificial Intelligence Mask Detection Program Implemented on Several Computer and Microcontroller Platforms Eril Mozef; Raihana Aqila
IJISTECH (International Journal of Information System and Technology) Vol 6, No 4 (2022): Decembar
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i4.264

Abstract

The use of masks during the Covid-19 pandemic is crucial to prevent transmission of the Covid-19 virus. Everyone is required to wear a mask in public places both indoors and outdoors. Therefore, a mask detection device is urgently needed to allow visitors to enter public facilities and reduce interaction between officers and visitors. Currently, many algorithms and programs for detecting masked faces based on artificial intelligence have been proposed using cameras and image processing. However, unfortunately, the implementation, realization, and application in public places are still ineffective. Beside the reability is still not high enough, another factor is the response time which needs to be considered when implemented on a computer or a microcontroller device. In this regard, this research focused on measuring the response time of an artificial intelligence-based mask detection program using a camera and image processing and its implementation on several computer and microcontroller platform. The response time of several computer and microcontroller devices is needed to provide an overview of the relationship between system execution speed and costs. When we use a high speed computer, the response time is fast, but the cost of the device is high. In contrast, by using a microcontroller-type device means the costs are low but the response time is slow, which will eventually cause problems in the visitor queuing system. In this research, the Balaji Srinivasan mask detection program was successfully implemented on several computer and microcontroller devices. The results are as follows: PC core i3-5005 2 GHz, 4 GB RAM: 0.456 seconds, PC core i5-3207 RAM 4 GB, 3.2 GHz SSD 128 GB: 0.382 seconds, PC core i5-8250 RAM 8 GB: 0.393 seconds, AMD Ryzen 5 3550H 2.1 GHz RAM 8 GB SSD 512GB: 0.303 seconds, Raspberry Pi 3 B+, 1.4 GHz RAM 1 GB: 12.03 seconds, Raspberry Pi 4 1.6 GHz RAM 4 GB: 0.89 seconds. So that the shortest average delay respon time for the PC type is AMD Ryzen 5 3550H 2.1 GHz RAM 8 GB SSD 512 GB of 0.303 seconds, and for the microcontroller type is Raspberry Pi 4 of 0.89 seconds.

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