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Elkom: Jurnal Elektronika dan Komputer
Published by Universitas Sains Dan Teknologi Komputer
ISSN : 19070012     EISSN : 27145417     DOI : https://doi.org/10.51903/elkom.v14i1
Core Subject : Education,
Education
Elkom : Jurnal Elektronika dan Komputer merupakan Jurnal yang diterbitkan oleh SEKOLAH TINGGI ELEKTRONIKA DAN KOMPUTER (STEKOM). Jurnal ini terbit 2 kali dalam setahun yaitu pada bulan Juli dan Desember. Misi dari Jurnal ELKOM adalah untuk menyebarluaskan, mengembangkan dan menfasilitasi hasil penelitian mengenai Ilmu bidang informatika, sebagai media bagi para dosen, guru, peneliti dan para praktisi dalam bidang teknologi informasi dari seluruh Indonesia, dalam melakukan pertukaran informasi tentang hasil-hasil penelitian terbaru yang telah dilakukan.
Arjuna Subject : -
Articles 631 Documents
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SISTEM PAKAR DIAGNOSA PENYAKIT TANAMAN JAGUNG MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB Rudjiono, Daniel; Setiyo Adi Nugroho; Agus Priyadi; Aprilia Ferawati Ndaumanu
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1889

Abstract

Abstract - Corn plants are one of the plants that are easy to grow and relatively fast to get results but also a plant that is vulnerable to pests and diseases. The symptoms that arise require an expert or agricultural expert to be able to diagnose. Limited time and expert labor is one of the causes of delayed diagnosis, causing a decrease in farmers' yields. This is the basis for making this expert system by adopting knowledge from agricultural experts about the symptoms of corn disease using the Forward Chaining method. To support the research conducted, researchers used the Research and Development (R&D) research method and the design used the Object Oriented Programming (OOP) method using the Unified Modeling Language (UML). Software is built using the PHP programming language, MySQL as a database, and Bootstrap as an interface design with a web-based system.
ANALISIS KINERJA PERALATAN MONOPULSE SECONDARY SURVEILLANCE RADAR MODE-S MEREK INDRA TYPE IRS20-MP/S 2NA TERHADAP KESELAMATAN PENERBANGAN Numan Ahlur Rayi Qaiz; Dian Anggraini Purwaningtyas; Adenia Kusuma Dayanthi
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1908

Abstract

Monopulse Secondary Surveillance Radar Mode-S is a flight observation device that can work up to 256 NM coverage. To ensure that the equipment is run, it is necessary to evaluate the performance of the equipment in accordance with KP No. 35 of 2019 concerning procedures for maintenance and reporting of aviation telecommunications facilities. The purpose of this study is to evaluate the performance of the tool. Equipment performance evaluation is analyzed based on several parameters. the analysis was carried out using research methods in the form of qualitative analysis and descriptive analysis. The results of the analysis are adjusted to KP no. 35 of 2019 with an evaluation of the performance of the INDRA IRS20-MP/S 2NA Type MSSR Mode-S Radar device for the 2023 period has 100% availability, MTBF 8760 Hours, and MTTR 0 Minutes
The Prediksi Curah Hujan Pada Stasiun BMKG (CITEKO) Menggunakan Metode Backpropogation Neural Network Reni, Reni Utami; Ari Hidayatullah
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1921

Abstract

Accurate rainfall prediction is needed to improve the performance of land that always uses rainfall data. Data mining or often called knowledge discovery in databases (KDD) is an activity that includes collecting, using historical data to find regularities, patterns or relationships in large data. In predicting rainfall, there are several conditions that can be observed as reference data to predict rainfall, namely wind speed, temperature, and air humidity. In this research, a backpropagation artificial neural network prediction method is developed that can be used in predicting future rainfall. The backpropogation artificial neural network method that was built produced an accuracy value of 95.36%, a precision value of 90.50%, a recall value of 97.50% and an f-measure value of 92.00%
The CLASSIFICATION OF PROSPECTIVE POLICY HOLDERS FOR SELECTING INSURANCE PRODUCTS USING A COMPARISON OF THE K-NEAREST NEIGHBOR METHOD AND THE NAIVE BAYES METHO irfan, Irfan Nurdiansyah; Ari Hidayatullah
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1922

Abstract

The insurance business within an insurance company offers insurance products owned by the insurance company. In every insurance product there is a premium payment and the premium is the income of an insurance company at the rate of the amount insured. The problem that PT BNI Life Insurance has is that there are many stops in premium payments such as policy redemptions due to errors in the benefits received or incorrect selection of the insurance product, this can reduce the achievement of targets for an insurance company. The aim of this research is to find out the best classification algorithm compared between K-Nearest Neighbor and Naive Bayes to predict the type of insurance product that customers will choose. In this research, data mining methods are applied to compare two different methods, namely the K-Nearest Neighbor method and the Naïve Bayes method. The level of accuracy results for the K-Nearest Neighbor method is 80% and the Naïve Bayes method is 70.53%, which means that the K-Nearest Neighbor method is the best method to apply to an insurance product classification system based on the demographics of prospective customers.
Sistem Rekomendasi Pencarian Buku Perpustakaan Dengan Algoritma Content Based Filtering Ndaru Hendrayana; Jati Sasongko Wibowo
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1927

Abstract

Well-organized and methodical libraries can, either directly or indirectly, facilitate the teaching and learning process in the community in which they are housed. Manual searching takes a long time because libraries typically have a large number of reading books. Without a book search system, libraries will make it harder and take longer for patrons to find books since they will have to look through each book individually on the shelf. It is quite feasible to create an information retrieval system for libraries to make book searches easier. Based on the parameters or keywords entered, the content-based filtering approach of the library book search information retrieval system can present ten recommendations. The Complete Guide to Islam in Kafah has the highest similarity of 0.775 when it comes to the process of looking for books with religious categories and keywords related to Islam.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS WEB PADA MATA PELAJARAN SEJARAH DI KELAS X MPLB SMK KANISIUS UNGARAN Khoirur Rozikin; Buitas Ribka Letkamang; Candra Supriadi; Nuris Dwi Setiawan; Unang Achlison
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1933

Abstract

One effective way in the world of education, especially in teaching and learning activities, is to keep up with current developments by utilizing existing technology. At Kanisius Ungaran Vocational School in Class X MPLB there is no web-based interactive learning media for the History subject. In this regard, there is a need to develop web-based interactive learning media so that teaching and learning activities are more interesting and enjoyable, especially in the subject of History. The benefit of this research is that it can apply the knowledge possessed by researchers in developing web-based interactive learning media in the History subject in class X MPLB Kanisius Vocational School Ungaran. Apart from that, this research is also expected to increase learning creativity and innovation, as for the practical benefits of this research, it can make it easier for teachers and students in teaching and learning activities in the subject of History
Rancang Bangun Sistem Keamanan Kandang Sapi Perah Dengan Arduino Berbasis Android : (Studi Kasus : Peternak Desa Wates Semarang) Rusito; Rusito Rusito; Muhammad Naufal Ra’if
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1934

Abstract

Most dairy farmers in our country still rely on human labor to monitor the condition of their farm areas. The current problem is the manual security system for barns, meaning that the barns need to be constantly checked around the area at all times. This is especially risky at night, when livestock theft is more likely to occur. This research implements PIR sensor technology to monitor movements around the barn, MC-38 magnetic sensors for gate security, and utilizes Android smartphones as devices to display barn data processing results, allowing real-time monitoring of barn security. The research is conducted using the Research and Development (R&D) method by Borg & Gall, encompassing only six steps. The results of the system evaluation by experts show a score of 3, falling between 2.1 – 3.0, categorized as Valid. User validation results show a score of 27.2, also falling between 2.1 – 3.0, categorized as Effective.
Analisa Sistem Informasi Pengambilan Keputusan dalam menentukan Lingkungan Rukun Tetangga ( RT ) Terbaik dengan Metode Analytical Hierarchy Process ( AHP ) Sumaryanto, Sumaryanto; Purwati, Purwati; Setiyo Prihatmoko
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1961

Abstract

Pada proses penilaian penentuan RT Terbaik mengalami kesulitan karena biasanya penilaiannya hanya berdasarkan pengamatan lingkungan saja, sehingga mengakibatkan dalam penilaian untuk menentukan RT terbaik tidak tepat sasaran sehingga menimbulkan permasalahan pada wilayah tersebut. Dari permasalahan tersebut diatas maka perlu adanya sistem iformasi pendukung keputusan untuk menentukan lingkungan RT Terbaik dengan berbagai indicator penliaan, sehingga dalam proses penentuan RT terbaik bisa tepat sasaran, maka perlu adanya Sistem Informasi Pengambilan Keptusan dalam menentukan Lingkungan Rukun Tetangga ( RT ) Terbaik dengan Metode AHP.
Sistem Informasi Penjualan Toko Parfum Berbasis Website : (Studi Kasus : Toko Tunam8 Parfum) Geges, Septian; Raihan Luthfiansyah Effendy Ekapatra
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.2032

Abstract

This research aims to design a website-based online store by utilizing a recommendation system with content-based filtering. The recommendation system is useful to help buyers get product suggestions that are in accordance with their preferences. The development method used in this research is the Waterfall model with the stages of needs analysis, design, program code generation, and testing. Researchers also use the UML model to help design the system and use the Laravel framework for website development. Based on the results of this study, the online store system designed has benefits for customers, because they can shop anywhere without having to come to the store directly. The recommendation system used also helps customers in choosing perfumes that match their preferences.
Perancangan Aplikasi Tutorial Turnitin Untuk Melacak Plagiasi Menggunakan Metode Prototype Haris Jamaludin; Sulartopo Sulartopo; Nuris Dwi Setiawan
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.2049

Abstract

This study focuses on creating a Turnitin tutorial application to track plagiarism using the prototype method approach. The purpose of this application is to make it easier for users to understand and utilize Turnitin as a reliable plagiarism detection tool in academic writing. The prototype method was chosen because it allows for rapid iteration and improvement based on user feedback, which is very important to improve the quality of the application. The development stages include creating an initial prototype, testing functions, and collecting feedback for design refinement. This study aims for the application to be developed to provide clear guidance and effective solutions in identifying and preventing plagiarism, while deepening users' understanding of the use of Turnitin. Thus, this application is expected to strengthen academic integrity and support ethical writing practices through integrated plagiarism detection technology.

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