INTECH (Informatika dan Teknologi)
INTECH - Informatika Dan Teknologi diterbitkan 2 (dua) kali setahun pada bulan Mei dan November oleh Program Studi Informatika, Fakultas Teknik dan Komputer, Universitas Baturaja yang telah terbit pertama kali pada tahun 2020. Tujuan Jurnal INTECH adalah sebagai sarana untuk menerbitkan makalah/artikel dalam bidang Sains dan Teknologi Informasi pada bidang penggunaan komputer, internet, perangkat lunak dan perangkat keras dibidang teknologi informasi. Selain itu jurnal INTECH juga meliputi daerah yang mendukung integrasi dan pengembangan teknologi pada bidang lainnya. INTECH menerima makalah/artikel yang belum pernah diterbitkan oleh media lain atau sedang dalam proses (under review) untuk diterbitkan oleh media lainnya. Review akan dilakukan terhadap semua naskah yang masuk. Hasil dari review akan disampaikan kepada setiap penulis dalam kurun waktu 1 (satu) bulan sejak naskah dikirim ke editor. Bahasa pada Jurnal INTECH adalah Bahasa Indonesia. Hak Cipta dan Orisinalitas dari setiap makalah/artikel yang akan diterbitkan akan diminta kepada seluruh penulis dengan menyertakan “Surat Pernyataan Etika Publikasi” yang telah kami sediakan. Makalah yang sebelumnya telah dipresentasikan pada sebuah conference/seminar tetapi telah mengalami proses editing yang cukup besar akan dipertimbangkan untuk diterbitkan pada Jurnal INTECH. Kami mengundang Anda untuk mengirimkan makalah ke INTECH. Makalah yang akan disubmit dapat mengikuti template INTECH dan harus mengikuti pedoman penulisan yang kami sediakan. dalam bentuk softcopy dapat dikirim melalui laman Submission dalam bentuk file dengan ekstensi .docx (Mircrosoft Word) dan BUKAN dalam bentuk Portable Document File (PDF). Editor berhak mengedit naskah untuk keperluan perbaikan dan layout setting, tanpa mengubah intisari dari tulisan. Untuk perbaikan yang sangat mendasar, editor akan meminta perbaikan kepada penulis.
Articles
108 Documents
<![CDATA[The Influence of the Digital Word on Student’s Motoric ]]>
<![CDATA[Chindy Octa Vijjani]]>
<![CDATA[ INTECH Vol 2 No 1 (2021): INTECH (Informatika Dan Teknologi) ]]>
Publisher : <![CDATA[Program Studi Informatika Fakultas Teknik dan Komputer Universitas Baturaja ]]>
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DOI: 10.54895/intech.v2i1.756
<![CDATA[Technology is a science that provides facilities or systems that aim to provide convenience and comfort to mankind. Technology is the development of science, especially in the world of education. With the development of technology that can be used by mankind, especially for students. There are so many benefits of technological developments that can be obtained, such as: can add information, facilitate access to learning, and so on. But behind the benefits that have been obtained, of course there are tribulations that follow. Many students misuse this technological development so that it makes students experience a decline in learning, stunted motor development due to misuse of technology.]]>
<![CDATA[Systematic Literature Review: Bankruptcy Prediction Menggunakan Teknik Machine Learning dan Deep Learning ]]>
<![CDATA[Ita Sulistiani]]>
<![CDATA[ INTECH Vol 2 No 1 (2021): INTECH (Informatika Dan Teknologi) ]]>
Publisher : <![CDATA[Program Studi Informatika Fakultas Teknik dan Komputer Universitas Baturaja ]]>
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DOI: 10.54895/intech.v2i1.824
<![CDATA[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.]]>
<![CDATA[Identifikasi Penyakit Tanaman Bawang Merah Varietas Bima Menggunakan Metode Forward Chainning Dan Certainty Factor ]]>
<![CDATA[Anton Maulana Ibrahim]]>;
<![CDATA[Abdul Rahman]]>
<![CDATA[ INTECH Vol 2 No 1 (2021): INTECH (Informatika Dan Teknologi) ]]>
Publisher : <![CDATA[Program Studi Informatika Fakultas Teknik dan Komputer Universitas Baturaja ]]>
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DOI: 10.54895/intech.v2i1.825
<![CDATA[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%.]]>
<![CDATA[Systematic Literature Review: Penggunaan Algoritma K-Means Untuk Clustering di Indonesia dalam Bidang Pendidikan ]]>
<![CDATA[Cahya Kamila]]>
<![CDATA[ INTECH Vol 2 No 1 (2021): INTECH (Informatika Dan Teknologi) ]]>
Publisher : <![CDATA[Program Studi Informatika Fakultas Teknik dan Komputer Universitas Baturaja ]]>
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DOI: 10.54895/intech.v2i1.866
<![CDATA[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.]]>
<![CDATA[PENENTUAN TINGKAT KEKUMUHAN PERMUKIMAN KUMUH KOTA PALEMBANG DENGAN METODE ALGORITMA K-MEANS CLUSTERING DAN ALGORITMA ID3 ]]>
<![CDATA[Lastri Widya Astuti]]>;
<![CDATA[Endah Puspita Sari]]>;
<![CDATA[Imelda Saluza]]>;
<![CDATA[Faradillah Faradillah]]>;
<![CDATA[Rini Yunita]]>
<![CDATA[ INTECH Vol 2 No 1 (2021): INTECH (Informatika Dan Teknologi) ]]>
Publisher : <![CDATA[Program Studi Informatika Fakultas Teknik dan Komputer Universitas Baturaja ]]>
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DOI: 10.54895/intech.v2i1.869
<![CDATA[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%.]]>
<![CDATA[Analisis Keefektifitasan Model Pembelajaran Daring Pada Masa Pandemi Covid-19 (Studi kasus: Kelas V SDN 12 OKU) ]]>
<![CDATA[Destiarini Destiarini]]>
<![CDATA[ INTECH Vol 2 No 1 (2021): INTECH (Informatika Dan Teknologi) ]]>
Publisher : <![CDATA[Program Studi Informatika Fakultas Teknik dan Komputer Universitas Baturaja ]]>
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DOI: 10.54895/intech.v2i1.871
<![CDATA[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.]]>
<![CDATA[Systematic Literature Review: Permasalahan Ransomware pada Aplikasi Berbasis Cloud ]]>
<![CDATA[Zidnii Ilma Rimbarawa]]>;
<![CDATA[Elis Kholisoh]]>;
<![CDATA[Zahwa Putri Rahmayani]]>
<![CDATA[ INTECH Vol 2 No 2 (2021): INTECH (Informatika Dan Teknologi) ]]>
Publisher : <![CDATA[Program Studi Informatika Fakultas Teknik dan Komputer Universitas Baturaja ]]>
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DOI: 10.54895/intech.v2i2.877
<![CDATA[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.]]>
<![CDATA[Pemanfaatan Big Data dalam Bisnis E-commerce OLX ]]>
<![CDATA[Citra Adinda Hartawan]]>
<![CDATA[ INTECH Vol 2 No 2 (2021): INTECH (Informatika Dan Teknologi) ]]>
Publisher : <![CDATA[Program Studi Informatika Fakultas Teknik dan Komputer Universitas Baturaja ]]>
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DOI: 10.54895/intech.v2i2.880
<![CDATA[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.]]>
<![CDATA[PERANCANGAN SISTEM INFORMASI PENGELOLAAN KEUANGAN SEKOLAH BERBASIS WEB DAN SMS GATEWAY DI SMK JAYABEKA 02 KARAWANG ]]>
<![CDATA[Apit Priatna]]>;
<![CDATA[Arif Maulana Yusuf]]>
<![CDATA[ INTECH Vol 2 No 2 (2021): INTECH (Informatika Dan Teknologi) ]]>
Publisher : <![CDATA[Program Studi Informatika Fakultas Teknik dan Komputer Universitas Baturaja ]]>
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DOI: 10.54895/intech.v2i2.1013
<![CDATA[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.]]>
<![CDATA[MEDIA PEMBELAJARAN BERBASIS ANDROID PADA MATA KULIAH PERIPHERAL DAN TROEBLESHOOT ]]>
<![CDATA[Johan Eka Wijaya]]>;
<![CDATA[Yamanto Isa]]>;
<![CDATA[Meliana Sari]]>
<![CDATA[ INTECH Vol 2 No 2 (2021): INTECH (Informatika Dan Teknologi) ]]>
Publisher : <![CDATA[Program Studi Informatika Fakultas Teknik dan Komputer Universitas Baturaja ]]>
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DOI: 10.54895/intech.v2i2.1167
<![CDATA[Penelitian ini bertujuan untuk mengembangkan Media Pembelajaran Berbasis Android pada mata kuliah Peripheral and Troebleshoot. Jenis penelitian yang digunakan adalah penelitian Research and Development (R&D). Metode yang digunakan adalah metode prosedural dengan teknik pengumpulan data berupa angket. Dari hasil expert review, ahli media memberikan nilai 87% dengan kategori “Baik Sekali”. Ahli desain memberikan nilai 78% dengan kategori “Baik”. Dan ahli materi memberikan nilai 76% dengan kategori “Baik”. Pada uji coba produk skala perorangan dengan objek penelitian 3 orang responden yaitu mahasiswa semester II kelas A.2.1 pada mata kuliah Peripheral and Troubleshoot diperoleh nilai 89,75% dengan kategori “Baik Sekali”. Uji coba kelompok kecil dengan objek penelitian 6 orang responden yaitu mahasiswa semester II kelas A.2.1 pada mata kuliah Peripheral and Troubleshoot memperoleh nilai 86,40% dengan kategori “Sangat Baik”. Kemudian dilakukan uji coba skala besar dengan objek penelitian 23 orang sebagai responden yaitu mahasiswa semester II kelas A.2.2 pada mata kuliah Peripheral and Troubleshoot memperoleh nilai 80,16% dengan kategori “Baik”. Data hasil penelitian dianalisis dengan menggunakan rumus persentase. Hasil perolehan data uji coba produk menunjukkan tingkat kelayakan produk dalam kriteria “Baik”.]]>
