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IJISTECH (International Journal Of Information System & Technology)

ijistech
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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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Online Donation Information System with Payment Gateway Adjie Krisnandy; Nurajijah Nurajijah
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The COVID-19 pandemic has had a significant impact on various aspects of social life. There is no exception in the aspect of religious activities in the process of receiving donations or raising funds which are still carried out manually by mosque officials. This is quite irrelevant to the current conditions that require to maintain health protocols in every activity. This study aims to design an Online Donation Information System with a Payment Gateway as an appropriate solution in accommodating the entire process of receiving donations and raising funds at mosques through electronic media. The method used is the scrum system development method with several stages such as product backlog, sprints, scrum meetings, and demos.

Graduation Prediction Application using Naive Bayes Algorithm in Sukabumi Muhammadiyah University Indra Griha Tofik Isa; Indra Satriadi
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The use of data mining has become a trend in data processing because of the availability of large amounts of data and the increasing need to convert this data into useful information and knowledge. Besides as a tool in extracting data, data mining is also used as decision support, both in the commercial and non-commercial fields. Of the many algorithms used in data mining, one of them is the Naïve Bayes Algorithm, which in this algorithm is one of the methods in Probabilistic Reasoning which aims to classify data in certain classes. The study conducted by applying the stages of the Naïve Bayes Algorithm in application design to predict student graduation on time based on the parameters contained in the Enrolment Student (PMB), Grade Point Average (IP) and the Finance Department. The data processed were 436 datasets from the Informatics Engineering Study Program, Muhammadiyah University of Sukabumi. The system design uses UML modeling with implementation using the PHP programming language and MySQL database. The results of the study are in the form of graduation prediction applications with an accuracy rate of 78%

Implementation of Data Warehouse for Food Sales Strategy Using Snowflake Schema Model Rima Tamara Aldisa; Mohammad Aldinugroho Abdullah
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Waroenk kids collage is a restaurant that sells various types of food menus and is located in Indonesia, Jakarta. This restaurant has data that accumulates and accumulates without any continuation of that data. This is not supported by the final report. Therefore, it is necessary to build a data warehouse that can be used as information for waroenk restaurant owners for college children. One of the important processes in the operation of the data warehouse is the process of copying data from the operational database. Before the data enters the data warehouse, the ETL (extract, transform, load) process is carried out on the data. This scheme is designed for the data warehouse at Waroenk Anak Kampusan using the Snowflake Schema model. The results of the research show that the Waroenk Anak Kampusan data warehouse has four tables (product table, price table, service table and customer dimensions), has one real table, namely the Sales table. All sales data can be monitored by the owner and can find out the total sales data.

Recommendation System for Selection of Beach Tourist Attraction in Serdang Bedagai Applying the TOPSIS Algorithm Annisa Fadillah Siregar
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

One of the regencies in North Sumatra, specifically the Serdang Bedagai Regency, has many exciting beach attractions for the public to visit. Each beach attraction offers its own excellence. In this circumstance, it could be a hesitation which to decide on, considering that there are a great number of beaches lying in the Serdang Bedagai Regency. This research uses five criteria such as facilities, security, hygiene, road access, and price. As well as the alternatives of several beach attractions such as Pondok Indah beach, Mutiara beach, Klang beach, Cermin beach, Romantic beach, Gudang Garam beach, Sri Mersing beach, Bali Lestari beach, Wong Rame beach, and Cemara Kembar beach. Therefore, a system is built to be used for the public in deciding on beach attractions by applying a recommendation system for selecting any beach attractions. According to the calculations in table 3.3 with the RPI as the reference value. The highest RPI value among beach attractions is the Bali Lestari beach with an RPI value of 1, the second is Romantic beach with an RPI value of 0.462, and Cermin beach with an RPI value of 0.462

Cryptocurrency Sentiment Classification Based on Comments On Facebook Using K-Nearest Neighbor Ramu Will Sandra; Yelfi Vitriani; Muhammad Affandes; Suwanto Sanjaya
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Cryptocurrencies continue to develop and have received world attention, price changes that occur every day are influenced by uncertain factors such as political problems and global economic problems. The author will explore the problems discussed by the public regarding positive and negative cryptocurrency comments on Facebook comments using the K-Nearest Neighbor method. This study uses 1000 data comments which are divided into 500 positive data and 500 negative data. The data was obtained manually by using the keyword "bitcoin price" on social media facebook. The results of the testing process using the confusion matrix get the highest accuracy at a comparison of 90: 10 by 62%, recall 70%, error rate 38% and precision 60,34% with k value of 11 and threshold 9.

Maximum Security of Login Pin Data by Combining the Gifshuffle Algorithm and TCC Algorithm Rivalri Kristianto Hondro
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

System or data security is very important in today's digital era. Various kinds of security techniques used, one of these techniques is the encoding technique by applying a number of cryptographic algorithms. The durability of cryptographic algorithms must of course be known before the algorithm is used and applied to a system or data to be secured. This study discusses the combination of the gifshuffle algorithm and the TCC algorithm for securing login pin characters

Design and Build A Customer-Finding Application For Leko Restaurant Using The K-Means Algorithm Mohamad Yusuf; Muhaimin Hasanudin; Ifan Prihandi
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Warung Makan Leko is one of the restaurants in the Jakarta area that offers local cuisine, a diverse menu and delivery orders via phone order. Customers are one source of income for Warung Makan Leko. The amount of competition makes Warung Makan Leko have difficulty in retaining loyal customers. For this reason, further analysis is needed to find out who these potential customers are. Then an application was developed to classify customer data using the K-Means (clustering) algorithm. The data used as an example in this study is the sales transaction data of Warung Makan Leko. Run the process to calculate the total sales to customers and the number of transactions with customers to classify customer data. The K-Means clustering method tries to group the existing data into groups. Data in groups have the same properties. Customer data is grouped into two clusters, no and implicit. Each cluster is then classified based on the prioritized criteria. The cluster with the highest centroid value is the cluster that is rewarded, and the cluster with the lowest centroid value is the non-rewarded cluster. The results of this process form clusters, which are used for advice and consideration to determine sales strategy, namely to reward customers who rank higher in the cluster

Architecture in Institutional Management Systems using Odoo Enterprise Resource Planning at UIN Maulana Malik Ibrahim Malang S Supriyono
IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Rapidly evolving information systems and technology have compelled organizations, particularly educational institutions, to adapt their institutional evolution. The researcher's goal is to build an Odoo ERP-based institutional management system architecture at UIN Maulana Malik Ibrahim Malang in order to gain a competitive advantage in realizing the university's vision, mission, and goals, as well as in the future implementation phase of the recommended application portfolio. Information systems strategic planning is a significant transformation for a company, and it is based on user needs that are aligned with business strategy. The impact and alignment categories are used to categorize the information systems strategic planning technique. The impact category methodology is useful for creating and justifying the use of new information technologies. While the alignment methodology (alignment) serves to align the objectives of the information system with the goals of the organization. The Star UML was used to design the system architecture.

Pharzolution Prototype Design: Problem Solving Applications Using Figma for Pharmaceutical Problems in the Jabodetabek Area Wildani Zakiyah; Indah Laily Hilmi; Devi Ratnasari
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Today's technology users are very diverse, namely from the younger generation, parents, experts, and ordinary people. Based on the results of the 2019 PISA survey on the world's education system, Indonesia is located in a low position at 74th out of a total of 79 countries. Based on research conducted in Sleman district, public knowledge about self-medication is still at a low level of 52.9%. Finding a job is not an easy thing in Indonesia. Pharzolution is a SaaS-based application to address issues of education, drug use, and information on job vacancies in the pharmaceutical sector. Respondents were made to 15 people consisting of 5 Pharmacy Vocational High School graduates, 5 Pharmacy D3 graduates or S1 Pharmacy graduates, and 5 pharmacists in the Jabodetabek area by applying the design thinking process to find out problems and solve appropriate solutions. Through interviews, the results obtained 6 suggestions that form the main features of the pharzolution application. The process of compiling the user interface display and user experience prototype is carried out through the figma website. The business model design process uses lean canvas which is an adaptation of the business model canvas. Pharzolution has 3 main features, namely pharducation, drug algorithm, and pharjobs

Development of an Information System for Sales of Building Materials in a Building Store Using Model View Controller (MVC) Nur Hidayati
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

One area that has an important role in the business world is sales. There are different types of goods and services offered to the wider community and can be used to meet their needs. One example is the material of the building that is used as materials to build a house, building, school and other buildings. The building's material items are sold in the Building Store. However, most of the processing of data on the sale of building materials in the Building Store is still done conventionally, thus causing problems. Like, there were errors in data recording, data searches that took a long time, and the making of inaccurate sales reports. If this is allowed to happen, then the place of the venture could suffer a lot of losses and not be able to take the right steps to resolve the existing problem. Therefore, the place of the venture requires the construction of a system, especially for the sales information system. With the development of the system, it is hoped that we will solve existing problems and be able to monitor the performance of the system and evaluate it well. And in the development of the system, it has to be supported with the use of the right method, where one of the methods that can be used is MVC (Model View Cotroller). Using this MVC, we can see the data structure used, the view and also the list of programs for the creation of the program application. The sales program applications generated from the development of this system, of course, are very much expected to help improve the existing system and improve the service and generate accurate data

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