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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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Software Usability Measurement Inventory for Student Information Academic System at Politeknik Negeri Media Kreatif Yuyun Khairunisa; Sari Setyaning Tyas; Adnan Purwanto; Siti Aisyah
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Academic information system is a system that is urgently needed by universities to manage academic business processes. State Polytechnic of Creative Media implements SIAM as Student Information Academic System. SIAM being developed has the advantage of being able to convey more detailed information. In addition, SIAM has implemented the SSO (Single Sign On) system where this technology is in great demand, especially in very large and heterogeneous networks. In this research Software Usability Measurement Inventory (SUMI) methods used to conduct usability test. SUMI is a rigorously tested and proven method of measuring software quality from the end user's point of view. The analysis results from SUMI will be used to improve the development of the academic system life cycle.

The Implementation of Web-GIS in Developing Tourism Object in Langkat Regency with Location Based Service Method Surya Hendra Putra; Evan Afri
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

This research aims to help out the Culture and Tourism Office of Langkat Regency in presenting Langkat Regency tourism objects widely across the globe through the web. Therefore, it can be trusted to be able to increase the number of both domestic and foreign tourists to visit Langkat Regency. This research shows a digital map on the web using the Google Maps API. With the belief that with there is an app that can clearly and completely displaying the name, photo, description and location of tourist objects which are taken from the database contained in the Google DBMS, it can increase the prospect of the number of tourists coming to Langkat Regency. Given that Langkat Regency has excellent tourism potential. One of them is the Bukit Lawang area which has captivity for orangutans, then which are endangered and endangered by elephant captivity. With web-GIS using the Location-Based Service (LBS) method by utilizing Google Maps API technology and the CodeIgniter Framework. With LBS, the coordinates of tourist locations in the form of latitude and longitude derived from the Google Maps application can be easily entered in the webGIS code structure.

Sentiment Analysis of Covid-19 As A Social Media Pandemic Cahyo Prianto; Nisa Hanum Harani
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

A large amount of information about Covid-19 that spreads quickly can lead to a perception of opinion and sentiment for those who read it. This research studies how text networking is formed, sentiment analysis and topics modelling that is widely discussed related to the Covid-19 theme. The text networking analysis was carried out on data taken from 4 different times, namely on 26 March, 29 March, 28 June and 23 July 2020 giving the result that the largest edge, nodes and modularity were in the conversation data on July 23, 2020. Sentiment analysis shows how the public responds to the Covid-19 pandemic. Sentiment analysis from tweet data in March 2020 showed 51% as positive sentiment and 49% as negative sentiment, with an accuracy rate of 0.7586, specificity 0.6667, prevalence 0.5862. Then tweet data in June 2020 showed 59% as negative sentiment and 41% as positive sentiment, with an accuracy rate of 0.6486, specificity 0.6111, prevalence 0.5135. Analysis of topic modelling has succeeded in collecting words related to certain topics, such as the data on March 26, 2020, representing talks related to the topic of "doing activities from home", "health", and "government policy". The data on March 29, 2020, represent talks related to the topic of "activities from home", "expression of feelings", "new habits". The data on June 28, 2020, represent talks related to the topic of "health protocol", "social assistance", "health". And on July 23, 2020 data represents talks related to the topic of "data security", "fine policy", and "policy".

Face Recognition Application Using the Eigenface Method for Employee Attendance at STMIK Budi Darma Alwin Fau; Fince Tinus Waruwu
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Attendance is one of the most important repetitive transactions because it is related to the productivity of employees and employees and is one of the controlling indicators Human resources (HR) which aim to increase the potential of human resources as well used in the framework of efficiency. Current technological developments allow making a system that can assist humans in recognizing a digital image. One of them, a field that is currently being developed is pattern recognition. This technology identifies the special physical characteristics of a person. An example of pattern recognition is an example of face recognition, iris recognition, fingerprint recognition (finger recognition), and others. The face is part of the human body to be the focus of attention in social interactions. The face has a very important role that can show someone's identity; therefore a face can be used as a part of the human body that is used as an indication of knowing someone or face recognition. Attendance is an administrative act regarding attendance and absence attendance of employees. In this facial recognition, research uses a camera to capturing someone's face was then compared to the face that had previously been stored in a specific database. Broadly speaking, the process of facial recognition is the webcam camera captures the face. Then we get an R (read) value, G (Green), B (Blue). Using pre-processing, cropped, RGB to grayscale. After the Grayscale process is carried out, the face processing stage is carried out using the eigenface method. In this eigenface method, there are several core stages namely: converting faces to matrices, calculating Flat Vector averages, determining values eigenface, and perform the face identification process by looking for the eigenface value approaching. One of the ways of facial recognition can be developed into an application absence that can be applied in companies to prevent manipulation of absences by employees or employees.

Analysis of ANN Backpropagation Ability to Predict Expenditure Group Inflation Mhd Ali Hanafiah; Ni Luh Wiwik Sri Rahayu Ginantra; Achmad Daengs GS
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The Covid-19 pandemic that has hit the world, especially Indonesia, has greatly disturbed the stability of the inflation rate. Inflation that continues to increase will disrupt the economy in this country. Therefore this study aims to analyze the ability of ANN backpropagation which will be applied to predict the development of the inflation in Indonesia during the Covid-19 pandemic so that later it can be useful information for the government and society. The research data used is inflation data according to expenditure groups obtained from CBS (Central Statistics Agency) in January-May 2020. Prediction is done using the backpropagation neural network algorithm. This paper uses four network architectures, namely: 3-5-1, 3-10-1, 3-25-1 and 3-50-1. Based on the training and testing of the four models, the 3-10-1 model is the best architectural model that is suitable for predicting the development of the inflation in Indonesia with an accuracy of 75%. Also, this model performs an iteration of 25303 and an MSE test of 0.0362820326. Based on the prediction results in June-August 2020 and real data obtained from the Central Statistics Agency, ANN using the backpropagation method is highly recommended to be used to predict the development of Indonesian Inflation according to the Expenditure Group.

Acceptance of Video Conference Technology as a Distance Learning Media with the TAM Method S Sefrika; Enok Tuti Alawiah
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The covid19 pandemic has resulted in teaching and learning activities to be carried out online using video conferencing. This study aims to determine the acceptance of video conferencing technology in the teaching and learning process. The research method uses TAM (Technology Acceptance Model). TAM is a model used to measure the extent to which the level of user acceptance of technology, especially information technology. The results showed that the online learning system using video conferencing could be accepted by students as a solution for distance learning.

Developing Fuzzy-Promethee Method by using AHP Method on Student Achieving Selection Rina Widyasari; Hendra Cipta; Abdul Halim Hasugian
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The achievements are the result of a person doing. Achievement can be achieved by relying on intellectual ability, emotional, and spiritual and resilience in the face of situations in all aspects of life. Student achievement awards can be either scholarship or involve the student in the national and international mathematics Olympiad. In UINSU, determining the best students in each major still uses manual procedures. Promethee is a method to resolve decision-making cases that belong to the MCDM with the outranking principle. This research developed a decision support system that involves AHP and Fuzzy-Promethee. The result shows the model that integrating AHP and Fuzzy-Promethee, which criteria in achievement selected by AHP, then the value of each criterion enter fuzzification, select the best student by Promethee method.

Utilization of the MOORA Method for Recommended Selection of Best Waiters in Hospitality Preddy Marpaung; Henri Pandiangan
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Hospitality waiters are the spearhead in a hotel's service with a variety of tasks ranging from food preparation, room arrangement, serving guests, and other tasks. So waiters as hotel employees are very influential on the quality of service to consumers. To motivate waiters to provide better service to consumers, a decision-making system is needed in selecting the best waiters according to the criteria determined by management. With the creation of the best waitress selection system to get an award according to the specified criteria, waiters will compete to provide the best service to impact hospitality positively. The method used in selecting the best waiters at The K Hotel Medan by utilizing the MOORA method, using the MOORA method can produce good and effective decisions in recommending the best waiters according to the highest value, namely rank 1, so that with a decision support system using the MOORA method This can help hotel management determine their best waiters for each episode objectively.

E-Archive Development In PT Haleyora Powerindo Sorong Annisa Nurul Sucianingsih Palisoa; Melda Agnes Manuhutu
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The development of e-archives is a part of an effort to completely manage to archive at PT Haleyora Powerindo Sorong. This research aims to see the factors that cause e-archives cannot be used optimally and also to develop e-archives as needed. The analytical method is a prototype method. The result of this research is the creation of electronic archives that have been developed with innovative and solutive design, menus and function that answer the factors that cause e-archive not be used optimally.

Prediction of Life Expectancy in Aceh Province by District City Using the Cyclical Order Algorithm Teuku Afriliansyah; Z Zulfahmi
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Indicators to evaluate the role of the local and central government in the welfare of its population, especially in the health sector, can be seen from the life expectancy of the community. Therefore the aim of this study is to predict the life expectancy of the Acehnese using the Cyclical Order Weight / Bias Algorithm. This study uses life expectancy data for the population of Aceh in 2010-2019 based on city districts consisting of 23 regions, which were obtained from the Aceh Central Statistics Agency. This study uses 6 architectural models, including: 8-5-1, 8-6-1, 8-7-1, 8-8-1, 8-9-1 and 8-10-1. After analyzing and calculating the 6 architectural models, the 8-9-1 model was chosen as the best with an accuracy rate of 91% and MSE testing 0.0010800577. The results of this study are in the form of the best architectural model that can be used to predict the life expectancy of the Acehnese people.

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