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INTECH (Informatika dan Teknologi)
Published by Universitas Baturaja
ISSN : 27227367     EISSN : 27227367     DOI : https://doi.org/10.54895/intech
Core Subject : Science,
Computer Science & IT
INTECH - Informatics and Technology is published twice a year in May and November by the Informatics, Engineering and Computer Science Study Program, Baturaja University Faculty which was first published in 2020. The purpose of the INTECH Journal is as a means to publish papers/articles in the field of Information Science and Technology in the field of computer use, internet, software and hardware in the field of information technology. In addition, the INTECH journal also covers areas that support the integration and development of technology in other fields. The INTECH journal is a scientific publication of research results in the field of Computer Science and Informatics Education which raises issues of: 1) Development of Research Results in the Field of Information Systems, 2) Research Results of Informatics Education, 3) Development of Robotics, 4) Application of Artificial Intelligence.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 90 Documents
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Systematic Literature Review: Bankruptcy Prediction Menggunakan Teknik Machine Learning dan Deep Learning Sulistiani, Ita; Mufida, Erdiana; Yasser, Pekik M.; Alamsyah, Lucky
INTECH Vol. 2 No. 1 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i1.824

Abstract

Bankruptcy prediction has long been an interesting topic to be discussed and developed by many researchers. Initially, the development of bankruptcy prediction models was carried out through statistical methods by examining corporate's financial ratios. Along with the development of technology, the use of machine learning and deep learning techniques for developing bankruptcy prediction models has begun to be widely used, for example, SVM, ANN, hybrid genetic algorithm, fuzzy-SVM, convolutional neural network, textual disclosure, and so on. Although machine learning and deep learning models have various advantages over statistical methods, they still have many drawbacks. In this paper, we will review machine learning and deep learning models used in bankruptcy prediction using the Systematic Literature Review method. Based on our research, bankruptcy prediction models developed using machine learning or deep learning techniques can outperform the performance of models using classical statistical methods.
Identifikasi Penyakit Tanaman Bawang Merah Varietas Bima Menggunakan Metode Forward Chainning Dan Certainty Factor Ibrahim, Anton Maulana; Rahman, Abdul
INTECH Vol. 2 No. 1 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i1.825

Abstract

Among the many causes of crop failure in shallots are pests and diseases, the symptoms of shallots that are attacked by pests are difficult to identify so only experts are able to correctly identify them. Shallots that are attacked by pests can actually be identified from the beginning until harvest, so that prevention and treatment can be done early on. This pest identification expert system documents expert skills into a computer. An expert system for identifying red onion diseases of the Bima Brebes variety was made using the forward chaining method based on the symptoms of the shallot plant. The certainty factor method is used to determine the level of expert confidence. System testing was carried out on 30 farmers and 5 extension workers to observe 12 samples of shallots that were attacked by pests and diseases. The system test results show that the system's accuracy level is 97%.
Systematic Literature Review: Penggunaan Algoritma K-Means Untuk Clustering di Indonesia dalam Bidang Pendidikan Kamila, Cahya; A.S, M. Adiyatma; Namang, Gabriella Resi; Fadila Syah, Rizky Ramadhan
INTECH Vol. 2 No. 1 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i1.866

Abstract

K-Means is a non-hierarchical data clustering method that can group data into several clusters based on data similarity, so that data with the same characteristics are grouped in one cluster and data with different characteristics are grouped in another cluster. The K-Means method can be used to process various data, including for clustering in the field of education. The use of the K-Means algorithm has been widely carried out but not many activities have been handled and are only often used for selection or acceptance activities and the use of attributes that must be reproduced to get optimal results. In this study, we will review various papers that perform clustering using the K-Means method for research in the field of education. Based on our research, papers related to the use of the K-Means algorithm for clustering in education have proved feasible and useful for future research. So it can be concluded that the K-Means method has been tested to be used for clustering in the field of education and the K-Means method can be useful in many aspects of education, both having an impact on educators, students and other educational aspects.
Penentuan Tingkat Kekumuhan Permukiman Kumuh Kota Palembang Dengan Metode Algoritma K-Means Clustering Dan Algoritma ID3 Sari, Endah Puspita; Astuti, Lastri Widya; Saluza, Imelda; Faradillah, Faradillah; Yunita, Rini
INTECH Vol. 2 No. 1 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i1.869

Abstract

Slum settlers are a condition of uninhabitable settlements. Slums are devided into 4 levels, namely : high slums, medium, light and not slum. To produce these four levels, method is used namely K-Means Clustering Algorithm and the ID3 Algorithm is used to give priority with pre determined attributes then accumulated with the results of clustering classified as slum level. The accuracy test is performe by using the confusion matrix method, where the data results from the K-Means Clustering method compared to the baseline data. The results obtained from the accuracy with confusion matrix is 0,70%, which means the level of truth (accuracy) between the result of the baseline data with research data is 70%.
Analisis Keefektifitasan Model Pembelajaran Daring Pada Masa Pandemi Covid-19 (Studi kasus: Kelas V SDN 12 OKU): Analisis Keefektifitasan Model Pembelajaran Daring Pada Masa Pandemi Covid-19 (Studi kasus: Kelas V SDN 12 OKU) Destiarini, Destiarini
INTECH Vol. 2 No. 1 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i1.871

Abstract

Director General of the World Health Organization (WHO) Tedros Adhanom Ghebreyesus officially announced the Coronavirus (Covid-19) as a pandemi on Wednesday, March 11, 2020, so all world activities changed including education. The Covid-19 pandemi has forced the learning system in schools to drastically change from face-to-face meetings to online learners. Many schools that do not yet have an online learning infrastructure are forced to do online lectures. This study aims to analyze the effectiveness of online learning during the Covid-19 Pandemi. The purpose of this research is to get information about the effectiveness of the online learning process during the Covid-19 pandemi. The research uses qualitative explorative methods with inductive approaches. In this study, respondents related to 5 people consisting of 1 principal, 1 teacher, 1 teacher in the field of science, 1 parent, and 1 student. To maintain the confidentiality of the respondent's identity, the researcher named the respondents P1, P2, P3, P4, and P5. Interviews are structured with questions that are compiled and associated and developed with related literature. The result of this study is the lack of effective online learning due to the lack of facilities and infrastructure and the unpreparedness of technology education for teachers and students.
Systematic Literature Review: Permasalahan Ransomware pada Aplikasi Berbasis Cloud Rimbarawa, Zidnii Ilma; Kholisoh, Elis; Rahmayani, Zahwa Putri
INTECH Vol. 2 No. 2 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i2.877

Abstract

Ransomware has created questions on the security aspects of a cloud architcture, especially with cloud services being adopted by more enterprises. Ransomware encrypts data and makes it inaccessible. Victims are given instructions to pay the attacker a fee in exchange for having their data accessible again. Ransomware has organizations and is increasingly targeting applications running on databases. To prevent this problem, this study uses the Systematic Literature Review method to provide information about ransomware problems in cloud-based applications, as well as ransomware prevention in cloud-based applications and its challenges including the differences in effectiveness for each type of ransomware and the strategies that do not apply to server-side attacks. The research review shows that backup and recovery is a key defense strategy against ransomware. Ransomware protection, applications, and databases require the right strategy, including reliable recovery. This research is useful to ensure that the cloud-based is protected from ransomware attacks.
Pemanfaatan Big Data dalam Bisnis E-commerce OLX Maulana H, Airlangga; Hartawan, Citra Adinda; Irawan, Firda Della; Ananta, Pramoedya Seta
INTECH Vol. 2 No. 2 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i2.880

Abstract

Basically, the emergence of online sales sites is a positive impact on the development of information technology. Not a few online markets selling similar goods and services. However, there are many considerations between consumers in sorting and choosing what goods they will buy as well as the inventory of goods displayed on the online market. Every online marketplace must compete to increase its sales profit by researching the data entered on the account sites used by consumers. The type of research used is quantitative research. By utilizing advances in technology, the use of data mining is an efficient way to retrieve and collect the required data. Data mining, often also called knowledge discovery in database (KDD), is an activity that includes collecting, using historical data to find regularities, patterns, or relationships in large data sets. The output of this data mining can be used to improve decision-making in the future. So the term pattern recognition is now rarely used because it is part of data mining. Observations are carried out directly on the olx.co.id web by visiting the site, then documenting the site by printing a screen to be able to take pictures of the website display in other words we can compare one product with other products and see how many products there are. sold out. In this study, researchers also explain the flow of product orders using OLX e-commerce. E-commerce platforms also allow businesses to gather a wealth of statistics about how many customers come to their website, how they choose or compare alternatives, and what the logic is in each buying situation.
PERANCANGAN SISTEM INFORMASI PENGELOLAAN KEUANGAN SEKOLAH BERBASIS WEB DAN SMS GATEWAY DI SMK JAYABEKA 02 KARAWANG Priatna, Apit; Yusuf, Arif Maulana
INTECH Vol. 2 No. 2 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i2.1013

Abstract

SMK Jayabeka 02 is a private school located in the Karawang area, which has 4 expertise programs, namely mechanical engineering, light vehicle automotive engineering, office administration and computer network engineering. School financial management still uses Microsoft Excel which requires accuracy in managing and recording, then the data processing process requires a lot of time and energy if the data is already queuing a lot. The purpose of this study is to facilitate the administrative transactions of school payments and expenses as well as to produce accurate data and increase the confidence of parents in students and schools. The method used is observation, interviews and literature study to obtain the required data and use SDLC for the system development model described by the waterfall. With the creation of the system, it is hoped that it can further facilitate every existing process and can improve the quality and trust of parents of students towards students and the school.
MEDIA PEMBELAJARAN BERBASIS ANDROID PADA MATA KULIAH PERIPHERAL DAN TROEBLESHOOT Wijaya DN, Johan Eka; Isa, Yamanto; Sari, Meliana
INTECH Vol. 2 No. 2 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i2.1167

Abstract

MULTIMEDIA BERBASIS ANDROID DENGAN APP INVENTOR PADA MATA KULIAH BAHASA PEMROGRAMAN Yunarti, Yelmi; Purnama, Ayu; Al Kodri, Muhammad Nang
INTECH Vol. 2 No. 2 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i2.1168

Abstract

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