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JISA (Jurnal Informatika dan Sains)
Published by Universitas Trilogi
ISSN : 27763234     EISSN : 26148404     DOI : https://doi.org/10.31326/jisa
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
JISA (Jurnal Informatika dan Sains) is an electronic publication media which publishes research articles in the field of Informatics and Sciences, which encompasses software engineering, Multimedia, Networking, and soft computing. Journal published by Program Studi Teknik Informatika Universitas Trilogi aims to give knowledge that can be used as a reference for researchers and can be useful for society. Accredited “SINTA 4” by The Ministry of Research-Technology and Higher Education Republic of Indonesia, Free of Charge (Submission,Publishing). JISA (Jurnal Informatika dan Sains) is scheduled for publication in June and December (2 issue a year) This Journal accepts research articles in these following fields: Software Engineering: Web Development, Mobile Apps Development, Database Management System Multimedia: Augmented Reality, Virtual Reality, Game Development Networking: Cloud Computing, Internet of Things, Wireless Sensor Network, Mobile Computing Soft Computing: Data Mining, Data Warehouse, Data Science, Artificial Intelligence, Decision Support System
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 158 Documents
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The Classification of Mushroom Types Using Naïve Bayes and Principal Component Analysis Deby Rianasari; Meina Noor Triana; Milla Rosiana Dewi; Yulia Astutik; Rio wirawan
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1380

Abstract

Indonesia is one of tropical countries with high humidity which makes it possible for various plants and microorganisms to grow properly. One of the microorganisms that shall grow well in Indonesia is be considered as fungi or mushrooms. They have several types including poisonous and edible mushrooms that shall be consumed by human beings. The purpose of this research is to make it easier to classify between the types of poisonous mushrooms and edible mushrooms which can be consumed by using the Naïve Bayes algorithm to get the accurate classification results. In this research, the Naive Bayes algorithm is used to classify the types of mushrooms by utilizing the Principal Component Analyst technique which serves to reduce the number of features applied in the dataset. The data collection technique used in the research is by documenting the official website of the UCI Machine Learning Repository whereas the Mushrooms dataset consists of 22 features and 1 class are applied. After classifying using Naïve Bayes with Principal Component Analyst, then the researcher is evaluating using the 10-Fold Cross Validation technique whereas the results obtained are pc = 10 and the classification result is be considered as 84%.
Mini Thesis Supervisor Recommender System Using Simple Additive Weighting Algorithm : A Case Study of Universitas Internasional Batam Syaeful Anas Aklani; Jacky Jacky
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1430

Abstract

Currently, the selection if thesis supervisors in Faculty of Computer Science at Universitas Internasional Ba-tam is done based on direct consideration of the supervisor candidate’s competence, functional, and education. However, this thesis supervisor selection process is not very effective if the student doesn’t know a suitable supervisor for the topic of the thesis they have chosen. Therefore, a decision support system is required to determine the thesis supervisor so that the thesis submitted by student is match with the competence of the thesis supervisor candidate. The primary goal of this research is to create a decision support system application that can assist in determining the thesis supervisor. The Research and Development (R&D) technique was employed in this study, with the Simple Additive Weighting (SAW) decision making approach and the ADDIE model for the development process. Lecturer data was collected by distributing questionnaires. Based on the result of SAW calculations, it was found that alternative 7 (A7) and alternative 4 (A4) were the best alternative. From the result of testing on application, the application was able to provide recommendations for thesis supervisors to users based on the calculation using SAW Method. Future research may try to use or combine other decision-making methods, such as AHP or Apriori. 
Comparison of Holt Winters and Simple Moving Average Models to Identify the Best Model for Predicting Flood Potential Based on the Normalized Difference Water Index Raka Hikmah Ramadhan; Roni Yusman; Gatot Tri Pranoto
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1316

Abstract

Flood is a condition in which water cannot be accommodated in a drainage channel such as a river or river. An area is said to be flooded if the water in the area is inundated in large quantities so that it can cover all or most of a large area. Determining forecasting or prediction on a potential in the long or short term, especially changes in water content levels in an area, requires a method, model, or approach that must be well tested. The lower the error value in a model, the better the model for testing a forecast. One of the data that can be used for analysis of potential flood models is the use of remote sensing data with technology from Landsat 8. The advantage of sensing data from Landsat 8 is that it has data good history and allows to see changes in land cover from year to year in an area. The purpose of this study was to determine the best model for forecasting the potential for flooding in an area using the Holt Winters model and the Simple Moving Average. The result of this research is that the RMSE, MAE, MAPE, MSE values in the Holt Winters model are 0.03598683, 0.02748707, 0.13944356, 0.00129505 while the RMSE, MAE, MAPE, MSE values on the Simple Moving Average are 0, 09681483, 0.06338657, 0.53775228, 0.00937311. The Holt Winters model is the best model of the Simple Moving Average because the forecast error value has a low value. 
Multi Attribute Utility Theory (MAUT) Method of Decision on The Selection of the Head of Study Program Digital Business Dasril Aldo; Widya Lelisa Army; Ilwan Syafrinal
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1389

Abstract

The head of the study program is the spearhead of success in a study program. So a head of a study program is required to have good leadership and management skills in order to be able to carry out his duties and functions correctly. The problem that arises is that the appointment of a head of a study program is often carried out not looking at some aspects or criteria, usually the appointment is subjective and based on how long he has been a lecturer in the study program. Even though the appointment of a study program head must be seen from many aspects and criteria, this is done because if you appoint a study program head who is not competent, it can result in not running well with the study program he leads. The criteria used in this research are Functional Position, Education, Working Period, Research, PKM Activities, Supporting Activities and Lecturer Achievement. To overcome this problem, a decision support system with the MAUT method is the right solution to use. The advantage of the MAUT method is that the calculation and decision-making process is faster because it can directly calculate the final evaluation value without the need to compare the importance weight values between criteria. This method will process the criteria values of each candidate so that the results will be more objective. In this study, the number of alternatives used was 6 data on the value of the prospective head of the study program. Based on the MAUT process, a decision was obtained that the chosen head of the digital business study program was a Candidate-01 lecturer with a value of 1.0. 
Implementation Internet of Things for Feeding Catfish Water Quality Analysis Using Linear Regression and K-Nearest Neighbor Yaddarabullah Yaddarabullah; Egie Hermawan
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1431

Abstract

Cultivation of catfish (Clarias Gariepinus) is a promising business field and also a very productive activity because public interest in catfish is high. This factor is observed by market demand for catfish which is increasing from year to year. In catfish farming, you must pay attention to the acidity of the water (pH), temperature, and oxygen levels, which can change if too much feed is given. This can cause catfish seedlings to die and affect the catfish harvest. Catfish farmers often provide excessive food which causes many catfish seeds to die. This research will conduct a study on an Internet Of Things technology that can be used to monitor the acidity level in water pH, temperature, and oxygen levels as well as feed fish. The Internet of Things is very influential for monitoring the quality of catfish ponds by distributing information data resulting from sensor monitoring. The data obtained will be predicted for water quality in the pond by implementing a Linear Regression method. Furthermore, the acquisition of data from the predictions that have been carried out will be processed again to go to the next phase, namely classifying with the K-Nearest Neighbor algorithm method to carry out the identification phase of water types based on the nearest neighbors. This prediction is used to anticipate and notify catfish farmers through applications if there is a water acidity level (pH), temperature, and oxygen and feed levels that have run out
Decision Support System to Select the Best Customers Using Analytical Hierarchy Process (AHP) Methods, Simple Additive Weighting (SAW) Methods, Weight Aggregated Sum Product Assessment Methods (WASPAS) at the Kebaya Shop Syafran Nurrahman; Gatot Tri Pranoto; Tjahjanto Tjahjanto; Samidi Samidi
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1317

Abstract

Style Queen Kebaya Store (SQ Kebaya) is a store that is engaged in apparel, its product sales focus includes adult and children's kebaya. The negative impact of the Covid 19 Pandemic has proven that the Store (SQ Kebaya) has experienced a decline in sales turnover in 2020, therefore the SQ Kebaya Store's efforts to restore its sales activities are by giving gifts for customer appreciation during the COVID 19 season through selecting the best customers for the 2020 period. However, the problem faced by SQ Kebaya Stores in the process of evaluating the best customer selection is that there is no criterion weight so that the decision making is not right on target, making the best customer decisions less efficient because they have to look for customer sales records manually in the sales record book. This study produces a web-based decision support system for selecting the best customers at SQ Kebaya Stores using the AHP (criteria weight), SAW and WASPAS (best customer ranking) methods, this study produces priority weights and importance levels of each criterion, namely status (0.37 ), method of payment (0.23), total spending (0.14), quantity (0.13), intensity of visits (0.07), length of subscription (0.07) and the result of ranking the percentage of the largest alternative value is the alternative SAW method with an average of 0.6952 , while the WASPAS method is 0.6405. It can be concluded that the right method used to obtain the best alternative value is the SAW method.  
An Android-Based Rabbit Gastrointestinal Disease Diagnosis Expert System Utilizing Forward Chaining Method Difa Alfaritzi
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1397

Abstract

Rabbits are animals prone to diseases, mainly affected by digestive system conditions. According to the author's experience, the interviews with rabbit breeders and veterinarians were located in Tangerang, if disorders in the digestive system do not receive proper treatment and will quickly result in death for the rabbit. Rabbit owners sometimes don't know what to do. Obstacles often encountered are limited time, costs, and the number of veterinarians who are still small so that they cannot handle the rabbit immediately. Based on the above problems, it is necessary to design an expert system application with an Android base. The purpose of creating a system is to diagnose diseases in the digestion of rabbits, accompanied by a solution. The method used is to use the forward chaining method to design a digestive disease diagnosis system. This study resulted in the design of an application based on android to diagnose diseases in the digestion of rabbits.
Development of Mail Archive Management Information System at Lombok Tengah District Education Office Hairul Fahmi; Sofiansyah Fadli; Maulana Ashari; Muhammad Syahid Ramadhon
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1433

Abstract

The Mail Archive Management Information System at the Lombok Tengah Education Office was created for the effectiveness and efficiency of storing or managing incoming mail archives and outgoing mail archives at the Education Office. Management of mails that still use the manual method, namely by storing mail archives on folders, makes frequent errors in storage such as: loss of mails, tearing of mails and so on, as well as errors in recording and the duration of data searching. This Mail Archive Management Information System was designed and built using the waterfall method and MVC (Model View Controller) as the programming method, this information system is web-based, created using the PHP framework, namely CodeIgniter, HTML, Javascript, and CSS. As for the server, it uses a default Codeigniter local server. The management of the mail archives generated by the system is able to speed up the data searching process and is able to monitoring the amount of incoming mail, outgoing mail and the number of users using the system.
Implementation of The Patas Model in The Development of The Matana University Graduation Information System Simon Pranata Barus
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1327

Abstract

There is an urgent need to make a graduation information system at Matana university. This system is needed, especially for students, secretariat, and finance. Several other things to consider, namely the number of participants and the graduation committee are more than 300 people, delegation of system development to one person, many users are still unfamiliar with integrated information systems based on information technology (IS/IT), the Corona pandemic, and can anticipate sudden changes. Therefore, we need a software development model that fits these conditions. The research methods for making this model, such as literature study, interviews, observation, model making and model testing (model application). This software development model is called Patas, it is fast and limited. This model has six stages, i.e., user needs, tools selection, modification, evaluation, implementation, and maintenance. This model is then applied to the development of a graduation information system at Matana University. The Matana University graduation information system has been successfully built using the Patas model. This system features prospective graduate registration, payment, sending information to participants (personal or mass) by email, dashboard, privilages user, attendance for graduates by barcode, change profile and content management. This graduation information system is used from graduation preparation to graduation day. Thus, the Patas model can be an alternative model in software development. In the future, the Patas model needs to be tested for the development of a different and larger system. 
Development of Website Public Complaint System Polibatam V2.0 Muchamad Fajri Amirul Nasrullah; Sinarti Sinarti; Metta Santiputri; Vicky Leonardo Manurung
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1406

Abstract

The development of technology at this time, every agency certainly tries to improve the quality of its services. The Complaint Application is an information system that aims to provide aspirations for the performance of an agency. In this case the researchers took the case of the Batam State Polytechnic, where the campus wanted to realize Bureaucratic Reform at the Batam State Polytechnic by making a website-based Polibatam Complaint Application. Initially, the website was completed in the fourth semester during the implementation of Project Based Learning. In this case, the researcher conducted research to create a V.0 Complaints application with improvements from a website that had been built previously so that a website-based Public Complaint Application design was needed that was easy to use and could see responses to aspirations and complaints. The method that the researcher uses in designing the Polibatam V2.0 Complaint Application is the Waterfall model with MySql as the Database Management System, as well as PHP, JavaScript as the programming language to be used and Laravel as the PHP Framework. The completed application is then tested using the black box testing methodology, which allows all functionalities to be executed and implemented in accordance with the previously created functional requirements

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