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Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi

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Published by Universitas Dr. Soetomo Surabaya

ISSN : 25023470 EISSN : 25810367 DOI : 10.25139

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Library & Information Science

Inform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi is One of the journals published by the Informatics Engineering Department Dr. Soetomo University, was established in January 2016. Inform a double-blind peer-reviewed journal, the aim of this journal is to publish high-quality articles dedicated to the field of information and communication technology, Published 2 times a year in January and July. Inform with p-ISSN:2502-3470 and e-ISSN:2581-0367 has been accredited by the Ministry of Research and Technology of the National Research and Innovation Agency of the Republic of Indonesia Number 85/M/KPT/2020 dated April 1, 2020. Accreditation is valid for 5 years Vol.3 No.2 2018 to Vol.8 No.1 2023. Focus and Scope that is Scientific research related to information and communication technology fields, including Software Engineering, Information Systems, Human-Computer Interaction, Architecture and Hardware, Computer Vision, Pattern Recognition, Computer Application and Artificial intelligence, Game Technology, and Computer Graphics, but not limited to informatics scope.

Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer

Articles 261 Documents

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K-Nearest Neighbor (K-NN) Method for Optimizing Data Training on Diabetes Diagnosis and Chronic Ramadhani, Risky Aswi; Niswatin, Ratih Kumalasari
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol 3, No 2 (2018)
Publisher : Universitas Dr. Soetomo

Information technology has entered various fields, one of which is the health sector. Many researchers develop expert systems, medical records, and hospital registration systems. The diagnostic system is a concern for researchers because, with a diagnosis system, patients can consult through the system without visiting a doctor (expert). To make the diagnosis system,need medical record data from patients who have had previous treatment.The data will be used as a source of diagnostic of system knowledge as data training. Chronic diabetes patient data to be tested are called training data. The K-Nearest Neighbor (K-NN) method is used to detect diabetes and chronic complications. By developing this system, it is expected that the number of patients who have chronic complications and diseases that accompany Diabetes can be suppressed. The results of the K-NN method are very optimal if tested inpatient data training with optimal values of y = 0.73 and x = 0.62

Implementasi K-Nearest Neighbor Untuk Klasifikasi Grade Telur Ayam Ras Berdasarkan Ukuran Sholihin, Miftahus
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol 4, No 2 (2019)
Publisher : Universitas Dr. Soetomo

Sebagai bahan makanan tidak semua telur memiliki kualitas atau mutu dan kesegaran yang baik. Untuk menentukan grade dari sebuah telur bisa dilihat dari ukuran atau besarnya telur tersebut yang dilakukan secara manual dengan cara memasukan kedalam lubang yang sudah diberi ukuran, sehingga membutuhkan waktu yang lama. Oleh sebab itu dibutuhkan sebiah sistem yang mampu melakukan grading ukuran telur secara otomatis. Pada penelitian ini dirancang sebuah sistem yang mampu melakukan proses grading citra telur yang didasarkan dari ukuran dengan memanfaatkan teknik pengolahan citra digital. Metode klasifikasi dengan menggunakan K-Nearest Neighbor. Penelitian ini memberikan hasil akurasi tertinggi 88,8% ketika nilai k ketetanggaan 3.

Neural Network Autoregressive For Predicting Daily Gold Price 1
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol. 5 No. 2 (2020)
Publisher : Universitas Dr. Soetomo

Gold is a precious metal that functions as a gem and also an investment. Gold investment is the reason for many people because it is practical, not easily damaged, easy cashed, not taxable, and other purposes. Based on this, many people choose gold as an investment. The problem for people who will invest in gold is related to uncertain gold price predictions so that the accuracy of forecasting methods are needed. The purpose of this paper is to forecast accurately daily gold prices using the Neural Network Autoregressive (NNAR) method. Training Data to find out the value of accuracy in the NNAR method uses secondary data obtained from Yahoo Finance in the form of daily gold prices. Test results on the NNAR method produce a better and more accurate level using the NNAR (25,13) model with a MAPE value of 0.370707, a MASE of 0.5851083, and an RMSE of 6.939331. The conclusion of the results of this paper is the daily price of gold is influenced by the daily price of gold a day ago to 24 periods ago with the NNAR (25,13) model.

OPTIMIZING K-MEASN ALGORITHM USING PARTICLE SWARM OPTIMIZATION TO GROUP STUDENT LEARNING PROCESSES 1
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol. 6 No. 1 (2021)
Publisher : Universitas Dr. Soetomo

In the implementation of learning, several factors affect the student learning process, including internal factors, external factors, and learning approach factors. For example, the physical and spiritual condition of students. Physiological aspects (body, eyes and ears and talents of students, student interests). External factors, for example, environmental conditions around students, family, teachers, community, friends) Thus, learning achievement is significant because educational institutions' success can be seen from how many students learning achievement. This research's first focus is to do student clustering based on their learning process using 11 parameters. Second, using the PSO algorithm to get maximum clustering results. The research data were obtained from vocational secondary education institutions in the city of Pasuruan. The data is obtained from the results of school reports and questionnaires as much as 100 student data. Data attributes include environmental features, social features, and related school features to group student data for learning data processing. From the classification results using the PSO method, the silhouette value is 0.97140754, very close. These results indicate that the PSO method can improve the K-Means clustering method's performance in the classification process of student learning interest.

Faktor Sukses Implementasi CRM Software pada Perusahaan Jasa Muzakki, Achmad; Faroqi, Asif; Pamudi, Pamudi
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol 1, No 1 (2016)
Publisher : Universitas Dr. Soetomo

Pembelajaran Embedded System Berbasis Arduino Mega 2560 dan MIT App Inventor Tukadi, Tukadi
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol 2, No 1 (2017)
Publisher : Universitas Dr. Soetomo

Aplikasi Android Lyn di Surabaya Menggunakan Algoritma Djikstra Firmansyah, Adi
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol 1, No 2 (2016)
Publisher : Universitas Dr. Soetomo

Implementasi Metode Topsis Untuk Rekomendasi Pengangkatan Karyawan Tetap Pada PT. Bina Artha Ventura Cabang Nganjuk Resti, Nalsa Cintya; Ristyawan, Aidina
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol 4, No 1 (2019)
Publisher : Universitas Dr. Soetomo

The career path of an employee does not necessarily immediately become a permanent employee of a company. Employees must go through the stages of contract employees and then undergo a series of tests to be appointed as permanent employees. The determination of contract employees to become permanent employees in PT BAV through a series of tests that require a long time. The assessments and calculations are carried out in stages such as file selection, written tests, psychological tests, interviews, and so on. With a long series of tests it is possible to make mistakes in the final results and the candidates do not getthe criteria required by the company so as to hamper the company's performance. In this study the TOPSIS method is applied to determine the best candidates who can be appointed by the company to become permanent employees. From the calculation results obtained by employee with ID A003 has the best result so that employee can be recommended become permanent employee, furthermore the TOPSIS method can be input for PT BAV Nganjuk Branch related to the determination of candidates who can be appointed as permanent employees.Â @font-face { font-family: "Times New Roman"; }@font-face { font-family: "å®‹ä½“"; }@font-face { font-family: "SimSun"; }p.MsoNormal { margin: 0pt 0pt 0.0001pt; text-align: justify; font-family: "Times New Roman"; }span.msoIns { text-decoration: underline; color: blue; }span.msoDel { text-decoration: line-through; color: red; }div.Section0 { }

Implementation of Virtual Reality in Game Platformer 1
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol. 5 No. 1 (2020)
Publisher : Universitas Dr. Soetomo

The realization of virtual reality is implemented on an application in the form of a game that will load the genre of platform games, where the genre of this game is highly respected by lovers of games on the Android platform. The hardware used to create virtual reality in this platformer game is an android device that has a gyroscope sensor, virtual reality cardboard, and computer devices. The software uses unity, blender, and Microsoft visual studio as a code editor. The making of this virtual reality game using the gyroscope sensor as full control of character movements that serve to minimize the device needed to play virtual reality games on Android to make it easier and more practical to play. The test results state that virtual reality can be implemented on Android games and the gyroscope sensor functions well as the main movement control in the game

Early Detection of Overheating in Motorcycle Disc Brakes Based on Arduino 1
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol. 6 No. 1 (2021)
Publisher : Universitas Dr. Soetomo

The braking system is very important on a motorcycle. The primary function of the braking system is to slow down and even stop the motorcycle. The braking system using disc brakes on motorcycles is commonly used today, especially on automatic transmission motorcycles. One of the disadvantages of disc brakes is the heat caused by the disc's friction with the brake pads if you apply continuous braking. This continuous braking is often done by a motor rider when crossing downhill roads in mountainous areas. Excessive heat in the disc brakes causes the brake fluid to boil, resulting in air bubbles resulting in braking failure. The failure of the braking system on a motorcycle is hazardous for the rider and others. The experimental method detects braking system failure by catching the disc brake's temperature with a touchless temperature sensor, MLX90614. Temperature detection is processed with Arduino as a control, and the temperature is displayed on the LCD. If the disc brake temperature is above 200oC, a buzzer is activated as a warning to the driver. The test results show that the system can display a temperature reading on the LCD lower than the thermometer gun, with the most inferior reading difference of 0.2oC and the highest 0.4oC. The system can also display notifications to users on disc brake temperatures above 200oC, namely at temperatures of 211.1oC, 224.3oC, and 237.5oC, which were achieved at 200, 225, and 250 seconds.

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Achmad Choiron

Contact Email
journal.inform@unitomo.ac.id

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+6281332765765

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Editorial Address
Jl. Semolowaru no 84, Surabaya, 60118

Location
Kota surabaya,

Jawa timur

INDONESIA

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Achmad Choiron

Contact Email journal.inform@unitomo.ac.id

Phone +6281332765765

Journal Mail Official journal.inform@unitomo.ac.id

Editorial Address Jl. Semolowaru no 84, Surabaya, 60118

Location Kota surabaya, Jawa timur INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Achmad Choiron

Contact Email
journal.inform@unitomo.ac.id

Phone
+6281332765765

Journal Mail Official
journal.inform@unitomo.ac.id

Editorial Address
Jl. Semolowaru no 84, Surabaya, 60118

Location
Kota surabaya,

Jawa timur

INDONESIA