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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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Analisis Hasil Ukur Sensor Arus dan Tegangan untuk Memantau Daya Listrik berbasis Microcontroller Unang Achlison; Joseph Teguh Santoso; Khoirur Rozikin; Fujiama Diapoldo
Elkom : Jurnal Elektronika dan Komputer Vol 16 No 1 (2023): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i1.1193

Abstract

The community's need for electric power is increasing and efforts to monitor electric power are to obtain information on the results of measurements of voltage and electric current. Based on the analysis of the measurement results, it can be concluded that (1) the current measurement is more optimal when using the SCT-013 current sensor, (2) the voltage measurement is more optimal when using the PZEM-004T voltage sensor, (3) the difference in measurements using the current sensor is greater than the difference with a voltage sensor.
MEDIA INFORMASI VIRTUAL REALITY UNTUK MEMPROMOSIKAN SEKOLAH DI MASA PANDEMI Andik Prakasa Hadi; Setiyo Adi Nugroho; Agus Priyadi; Rizky Ridwan Saputra
Elkom : Jurnal Elektronika dan Komputer Vol 16 No 1 (2023): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i1.1264

Abstract

School promotions were carried out directly by visiting junior high schools, during a pandemic this can’t be done. In an effort to attract prospective new students at SMK PGRI 2 Salatiga, it is necessary to innovate by adding promotional media that can be accessed by the wider community. Information distribution can be done through social media and the school's YouTube channel. Information media was chosen as virtual reality in the form of 360° videos to display school facilities and privileges. The measurement indicators used in this study are behavior, interactivity, and sound to find out whether the virtual environment can affect the interest of prospective students at SMK PGRI 2 Salatiga. In addition, the interactivity of the video when it is played and the sound of the environment in the video can give immersive in a school environment. The results of this study by the majority of respondents stated that promotional media virtual reality in the form of 360° videos is appropriate for use for school promotions during a pandemic, as an effort to increase the number of new students.
Penggunaan Sensor TCS3200 dan NodeMCU untuk Mendeteksi Warna Daun Padi dalam Menentukan Jumlah Pupuk Urea Bebasis IoT Dani Sasmoko; Danang Danang; Padjar Setyo Budi; Muhammad Agus Kurniawan
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 1 (2020): Juli: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v13i1.174

Abstract

Technological developments encourage changes in the way decisions are made. In terms of stopping the application of urea fertilizer, farmers still rely on BWD observations. In this study, using the RnD method by directly observing the research location in the farmer group Gapoktan, in the village of Tosari, Kendan district and analyzing the problem then making a prototype which will be tested by experts. In this study, a tool was made using NodeMCU with TCS3200 sensor to detect color, which was then sent via the internet to the database using IoT technology. In this study, using several trials with different parameters of urea fertilizer use and the results of the TCS3200 sensor can detect colors according to what is on the BWD and send data to the database via the internet. In this system, farmers can recommend the use of suitable urea fertilizers outside a certain area so as to minimize errors in the observation on BWD, this will make the use of urea fertilizer to be the right dose.
Implementasi Compatibility Layer Pada Jaringan Server Diskless Berbasis Lubuntu 18.04 LTS Farid Jatri Abiyyu; Ibnu Ziad; Ade Silvia Handayani
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 2 (2020): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v13i2.207

Abstract

Diskless server is a cluster computer network which uses SSH (Secure Shell) protocol to grant the client an access to the host's directory and modify it's content so that the client don't need a hardisk (Thin Client). One way to design a diskless server is by utilizing "Linux Terminal Server Project", an open source-based script for Linux. However, using Linux has it own drawback, such as it can't cross platform for running an aplication based on Windows system which are commonly used. This drawback can be overcomed by using a compatibility layer that converts a windows-based application's source code. The data which will be monitored is the compatibility layer implementation's result, and the throughput, packet loss, delay, and jitter. The result of measurement from those four parameters resulting in "Excellent" for throughput, "Perfect" for packet loss and delay, and "Good" for jitter.
Pemodelan Sistem Prediksi Kelayakan Pengajuan Kredit Kepemilikan Rumah Dengan Metode C4.5 Dan Naive Bayes Lingga Desyanita; Arief Wibowo
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 2 (2020): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

A house for every human being is the main and most important need compared to others needs in general. A financial institution is an institution engaged in the financial sector where its customers are people from various walks of life with various behaviors. Lending is a business activity that carries a high risk and affects the business continuity of a banking company. The problem that is often faced in providing home loans is determining the decision to extend credit to prospective customers, while another problem is that not all home loan payments by customers can run well or commonly known as bad credit. One of the causes of bad credit is an assessment error in making credit decisions. Data mining is a process used to analyze cases in order to find the best performance of an algorithm being tested. One way to get information or patterns from a large data set is to use techniques in data mining. There are many classification methods that can be used to produce precise accuracy values. In this study, two classification algotihm methods are used in classifying the home crediting dataset, namely the C4.5 decision tree algorithm and the Naïve Bayes algorithm. The comparison of the two algorithms produces an accuracy value fo the Naïve Bayes algorithm of 36.36% and the Decision Tree C4.5 algorithm has an accuracy rate of 59.54%.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN OBJEK WISATA MENGGUNAKAN METODE AHP BERBASIS JAVA Study Kasus: Dinas Kebudayaan, Pariwisata, Pemuda & Olahraga Kabupaten Aceh Tengah Richasanty Septima S
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 2 (2020): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v13i2.215

Abstract

Department of Culture , Tourism , Youth and Sports Central Aceh district especially in tourism is in charge of managing and developing infrastructure for tourism, the selection of a tourist attraction right capable of giving the best decision with the information on the sights with AHP ( Analytical Hierarchy Prsocess ) that match the criteria , Election Decision Support System using AHP Attractions Java based , Using Netbeans and MySQL as data storage .
COUNTING THE REMAINING FUEL STOCK USING V METHOD BASED WEB IN UPT SARANA ALAT BERAT DINAS PUPR KUDUS Esti Wijayanti
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 2 (2020): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

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Abstract

Dinas Penataan ruang dan Perumahan rakyat Unit Sarana Alat Berat,berada di Kawasan desa Rendeng, Kecamatan Kota, Kabupaten Kudus. Di UPT SAB ini memerlukan sistem pendataan bahan bakar menggunakan aplikasi, karena di UPT SAB tersebut pendataannya masih manual, dan terkadang pendataan manual tersebut tidak valid, antara data masuk dan keluar tidak sesuai. Maka dari itu diperlukan sistem aplikasi stok bahan bakar di dinas PUPR ini, agar pegawai mudah mengetahui data yang masuk maupun keluar menggunakan metode V untuk penerapan aplikasi ini. sehingga bisa membuat laporan dengan mudah membuat Aplikasi Stok bahan bakar di UPT
Alat Bantu Jalan Tuna Netra Menggunakan Sensor Ultrasonik Berbasis Mikrokontroller Rusito; Dani Setiyawan
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 2 (2020): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

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Abstract

For blind people, assistive devices to carry out daily activities are needed. If you don't use assistive devices, blind people will experience difficulties when carrying out daily activities such as reaching the obstacles that are near them. In designing the system using the Arduino UNO R3 microcontroller board as a controller, five ultrasonic proximity sensors to determine the distance and position from the user to the front and lower obstacles. In addition, the MP3 module and headseat are used as a marker for sound in the form of sound when detecting an object and the SIM800L module is used to send SMS and the GPS module is used to determine coordinates. The validation test shows the value of 31.5 is between 31- 40 which means that it is located in a Very Good (Valid) value. Keywords: Walking Aid, Blind, Ultrasonic Sensor, Microcontroller, Arduino Uno, GPS
Seleksi Fitur Klasifikasi Penyakit Diabetes Menggunakan Particle Swarm Optimization (PSO) Pada Algoritma Naive Bayes Nurlaelatul Maulidah; Ari Abdilah; Elah Nurlelah; Windu Gata; Fuad Nur Hasan
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 2 (2020): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Diabetes is a serious chronic disease that occurs because the pancreas does not produce enough insulin (a hormone that regulates blood sugar or glucose), or when the body cannot effectively use the insulin it produces. WHO data shows that the incidence of non-communicable diseases in 2004 reached 48 , 30% is slightly higher than the incidence rate of infectious diseases, namely 47.50% [1]. According to the Ministry of Health in 2012 diabetes caused 1.5 million deaths. Some Indonesian people, this disease is better known as diabetes or blood sugar. This research was developed through secondary data processing from the Pima Indians Diabetes Dataset health database which was taken from the Kaggle dataset and can be accessed through https://www.kaggle.com/uciml/pima-indians-diabetes-database. Where the data itself consists of 768 records with several medical predictor variables (Pregnancies, Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function, Age and Outcome). Then the data will be processed using the Particle Swarm Optimization (PSO) feature selection to increase the accuracy value and the Naive Bayes algorithm to determine the accuracy results of the diagnosis of diabetes. From the results of research that has been done for the accuracy of the classification algorithm Naive Bayes is 74.61%, while the accuracy of the classification algorithm with Particle Swarm Optimization is 77.34% with an accuracy difference of 2.73%. So it can be concluded that the application of the Particle Swarm Optimization technique is able to select attributes in the Naive Bayes Algorithm, and can produce a better level of diabetes diagnosis accuracy than using only the individual method, namely the Naive Bayes algorithm. Keywords: Diabetes, Particle Swarm Optimization, Naive Bayes Algorithm
ANALISA ASOSIASI DATA MINING PENJUALAN MEUBEL MENGGUNAKAN ALGORITMA APRIORI PADA MASTER BORNEO PONTIANAK SELATAN Rabiatus; Badariatul Lailiah; Windu Gata; Muhammad Ifan Rifani Ihsan
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 2 (2020): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dunia bisnis khususnya dalam industri penjualan dimana-mana tidak di ambil kemungkinan banyak resiko yang di hadapi pembisnis untuk bisa melangsungkan usaha yang telah di dirikan akan selalu ada dan mendapatkan konsumen yang tetap membeli barang yang telah disediakan maka dari itu seorang entrepreneur dituntut untuk memiliki strategi dalam membaca peluang. Untuk menyiasati hal tersebut, tentunya pihak manajemen harus mampu menganalisa data yang ada untuk dijadikan bahan acuan untuk strategi diperlukan untuk komputerisasi. Pencarian judul penelitian dan abstraknya dipermudah dengan kata-kata kunci tersebut. berbisnis selanjutnya. Meubel Master borneo merupakan salah satu perusahaan yang memiliki resiko mendapatkan konsumen yang tetap dan harus memberikan atau meyediakan barang yang memiiki kualitas tinggi dan memberikan pelayanan yang akan diberikan kepada pelanggan yang setia membeli produk yang telah disediakan. Dengan menggunakan data mining yang merupakan knowledge discovery dikarenakan bidang yang berupaya untuk menemukan informasi yang memiliki arti yang berguna dari jumlah data yang besar, untuk menemukan pola (pattern) data dan memprediksi kelakuan (trend) dimasa mendatang [7]. Untuk mengetahui produk yang sering terjual dalam periode bulan Januari sampai bulan Mei 2019 diperlukan algoritma apriori yang ada di data mining. Dengan melakukan analisa keranjang belanja menggunakan metode asosiasi dengan Algoritma Apriori, dimana kombinasi itemset transaksi penjualan barang pada meubel master borneo menghasilkan 6 rules dimana minimum confidence sebesar 41,6 % dan minimum support sebesar 0,08% berdasarkan 35 transaksi penjualan dari 63 jenis barang pada meubel Master Borneo.

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