Claim Missing Document
Check
Articles

Found 9 Documents
Search
Journal : JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING

Initial Centroid Optimization of K-Means Algorithm Using Cosine Similarity Fadhillah Azmi; Kevin Utama; Oki Thomas Gurning; Syukurman Ndraha
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 3, No 2 (2020): EDISI JANUARI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v3i2.3211

Abstract

Clustering salah satu metode yang sering digunakan di berbagai bidang yang melakukan analisis data, termasuk penggalian data, pengambilan dokumen, segmentasi gambar, dan klasifikasi pola. Adapaun tujuan dari metode tersebut adalah untuk mengelompokkan data ke dalam suatu cluster sehingga kesamaan antara anggota data dalam suatu data informasi yang telah di-cluster yang sama adalah maksimal, di sisi lain untuk kesamaan di antara anggota data yang lain berbeda cluster minimal. Ada beberapa pendekatan metode untuk mengurangi kesalahan pada saat centroid awal yang dipilih selama proses pengelompokan berlangsung. Disini data yang digunakan adalah data acak yang dibuat secara manual yatu 30 data dan 5 atribut, sehingga diperoleh hasil akurasi clustering dalam centroid dengan menggunakan metode K-Means memiliki signifikan 86.67%, sedangkan  menggunakan K-Means dengan cosine similarity tidak jauh berbeda yaitu sebesar 89.7%, maka dari itu hasilnya cukup baik.
Aplikasi Metode Feature Reduction Dalam Pengenalan Wajah Manusia Fadhillah Azmi; Tommy Simatupang; Marselim Hengki Putra Edria Zendrato; Adhyaksa Putra Soaloon; Asido Silitonga
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 2, No 2 (2019): EDISI JANUARI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v2i2.2158

Abstract

Pengenalan wajah (face recognition) memiliki banyak aplikasi seperti pada pemeriksaan keamanan, pencarian kembali gambar, dan sebagainya. Dengan metode aplikasi pengenalan wajah yang ada sekarang kebanyakan sistem pengenalan hanya menggunakan gambar wajah dengan  satu macam ekspresi saja. Untuk itu dibutuhkan suatu aplikasi pengenalan wajah yang mampu mengenali wajah dengan berbagai ekspresi, seperti senyum, tertawa, marah, dan ekspresi lainnya. Aplikasi ini bukan hanya mampu mengenali ekspresi wajah tapi juga dapat mencari identitas personal seseorang dengan tingkat keakuratan yang lebih baik. Untuk mempercepat proses pencocokkan wajah, maka ciri wajah tersebut dapat disederhanakan lagi dengan membuang data yang kurang relevan. Metode pengenalan wajah ini dikenal dengan nama metode Feature Reduction. Tools yang digunakan untuk melakukan analisis dan desain adalah Unified Modeling Language. Hasil dari penelitian ini adalah aplikasi untuk mengenali wajah manusia dengan menggunakan metode Feature Reduction.
Design of Water Level Detection Using Ultrasonic Sensor Based On Fuzzy Logic Fadhillah Azmi; Insidini Fawwaz; Muhathir Muhathir; N P Dharshinni
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 3, No 1 (2019): EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v3i1.2668

Abstract

Water is one of the natural resources that are needed by creatures on earth. And the need for clean water is increasing, so the price of water, both bottled water and the price of water from the PDAM. Therefore, it is necessary to have a design that can control water needs, such as the water level for filling the required containers, controlling the water level in the reservoir, etc. according to human needs so that no waste of water occurs. This research was conducted to design water level detection by combining hardware and software, namely ultrasonic sensors as detection, Arduino Uno microcontroller as a process, and fuzzy logic as an analysis of data delivered by ultrasonic sensors. So, this design can be utilized in various fields both industrial and home. This water level detection is designed using ultrasonic sensors as distance monitoring, servo motor, LED warning, and buzzer. Fuzzy logic is applied to the ability of a tool designed by determining the desired set point of water. Test results that have been carried out with Fuzzy Logic with 5 levels, are level 1 (0 – 6 cm), level 2 (6.1 – 12 cm), level 3 (12.1 cm – 18 cm), level 4 (18.1 cm – 24 cm), and level 5 (24.1 – 30 cm).
Design of Parking Control Using Ultrasonic Sensor Based On Fuzzy Logic Insidini Fawwaz; Fadhillah Azmi; Muhathir Muhathir; N P Dharshinni
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 3, No 1 (2019): EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v3i1.2675

Abstract

The number of vehicles in Indonesia is currently increasing, which is not matched by the availability of parking lots, especially cars. Like in public places, namely, offices, shops, and other public places. However, in Indonesia the use of parking lots is still less organized, such as too close the position of one car to another, the position of the vehicle that is not in line with the slot, this can cause inconvenience in the use of parking lots or both parties. Supervision carried out by the manager of the parking lot is still lacking because it can be caused by the vast parking area and the number of supervised vehicles, so that a parking control system is needed that can help overcome this problem. The control system to be designed uses a proximity sensor to detect the proximity of the vehicle to one another, where the position of the vehicle has been determined, not only to detect proximity, but the number of vehicles that have entered the parking area, so parking users know whether the slot provided is still available or not. To detect distance, fuzzy logic method is applied. Fuzzy methods are applied to read the conditions received by the proximity sensor, and calculate the number of vehicles using infra red and photodiode sensors. If information from the proximity sensor that is processed in the microcontroller by fuzzy logic is detected, the output is in the form of an LED indicator and alarm warning.
Face Identification on Login Security Using Algorithm Combination of Viola-Jones and Cosine Similarity FADHILLAH AZMI; Amir Saleh; N P Dharshinni
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (328.953 KB) | DOI: 10.31289/jite.v4i1.3885

Abstract

Data security by using an alphanumeric combination password is no longer used, so it needs to be added security that is difficult to be manipulated by certain people. One type of security is the type of biometrics technology using face recognition which has different characteristics by combining the Viola-Jones algorithm to detect facial features, GLCM (Gray Level Co-occurrence Matrix) for extracting the texture characteristics of an image, and Cosine Similarity for the measurement of the proximity of the data (image matching). The image will be detected using the Viola-Jones algorithm to get face, eyes, nose, and mouth. The image detection results will be calculated the value of the texture characteristics with the GLCM (Gray Level Cooccurrence Matrix) algorithm. Image matching using cosine similarity will determine or match the data stored in the database with new image input until identification results are obtained. The results obtained in this study get the level of accuracy of the identification of the three algorithms by 77.20% with the amount of data that was correctly identified as many as 386 out of 500 images.Keywords: Security, face recognition, Viola-Jones, Cosine Similarity.
High Precision 3D Printed Syringe Pump for Contact Angle Goniometer Vito Sentosa; Riski Titian Ginting; Fadhillah Azmi; Despaleri Despaleri Perangin-Angin
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 1 (2021): EDISI JULY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i1.5321

Abstract

Contact angle goniometer is a tool used to measure the contact angle of a surface which is usually coated with nanomaterial. Contact angle goniometer has an important part, that is syringe pump as a tool for dripping a number of liquids with high precision and accurate flowrate. The function of the syringe pump is to control amount and feedrate of  liquid on a milliliter to microliter scale per minute using a simple microcontroller. In this study, this syringe pump used an arduino as a controller  and a stepper motor as a syringe driver. Casing and the syringe pump mechanism were designed with AutoCAD Fusion360 software and printed using a 3D printer. This syringe pump has an accuracy value of 99.5%, a precision value of 99.7% and a deviation value 0.4 µL which is based on the solution measured using Mettler Toledo 204 analytical balance. From the result, it is obtained that the syringe pump has been used for the contact angle goniometer with an experiment of water being dripped onto the ABS plastic surface with flowrate 100 µL/minute and the surface contact angle was analyzed using imageJ software and the result of the contact angle was 179°. Therefore, based on the result of this study, it can be concluded that the syringe pump can be used as a contact angle goniometer
Design of Smart Garden Sprinklers Based on Fuzzy Logic FADHILLAH AZMI; Jeffrey Louise; Zurfahri Rizki Sitompul; Sahsi Kumar; Jaya Surya
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.557 KB) | DOI: 10.31289/jite.v4i1.3886

Abstract

Human needs for the existence of an automatic equipment that controls every activity becomes a necessity at this time, one of which is on watering plants that are still done manually. Treatment of plants is not optimal. Sometimes plants forget to be watered, so the plants wither quickly because of lack of water. And often watering plants over and over again, ignoring that too much water content in the soil, which causes plants to rot easily. With this controller can be applied to various fields such as home, plantation, and agriculture. The application of automatic watering control can be overcome if there is excess water capacity, here is an alarm as a warning when the weather is rainy, by using a soil moisture sensor to detect water levels on the ground, light sensors to control the tool can only function in the morning and afternoon because if at night watering plants is not good for plant growth that is controlled on an arduino microcontroller, and uses a fuzzy logic method to determine the process parameters of sensor control. The results of testing the tools carried out periodically testing can work in sync based on the parameters applied using the fuzzy logic method.Keywords: Smart garden, sprinklers, fuzzy logic.
Design of Smart Trash Can Using Fuzzy Logic Algorithm Based on Arduino Fadhillah Azmi; William William; Kevin Kristanto Salim; Tommy Tiara Hartanto; Felix Tham
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 3, No 1 (2019): EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v3i1.2670

Abstract

Smart trash cans use a proximity sensor (ultrasonic) to detect the height of the trash, the PIR (Passive Infra Red) sensor to detect human presence and Arduino as the data processing center. This trash can also has an LED that functions as an indicator and the buzzer functions as an alarm when the trash can is full. If the garbage reaches half of the trash, the LED will turn yellow, if the garbage reaches a height of 4cm from the trash lid, then the LED will turn red and so the trash can will be locked even though the PIR sensor detects humans. Buzzer will live to attract the attention of cleaning officers to dispose of trash. To dispose of garbage, the clerk needs to shift the open and close trash button so that the lid will open. The author hopes that this smart trash can can increase public awareness to dispose of garbage in its place. The results of study show that PIR sensors work by well in detecting the presence of humans and ultrasonic sensors in detecting the height of garbage are not accurate, so that if the trash if the trash can is empty, sometimes the garbage is minus, whereasif the garbage is < 3.5 cm, the sensor fails detect it.
Implementasi Metode Retinex dan Histogram Equalization Pada Kecerahan Citra Digital Fadhillah Azmi; David David; Sherly Sherly; Sirano Lahagu
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 2, No 2 (2019): EDISI JANUARI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v2i2.2157

Abstract

Citra digital memiliki noise yang menyebabkan citra menjadi kurang halus, kesalahan dalam mengambil citra yang menyebabkan citra terlalu terang atau gelap, serta ketidakjelasan gambar. Oleh sebab itu perlu ada perbaikan citra yang merupakan bagian dari pengolahan citra, yaitu salah satu algoritma retinex yang digunakan untuk memperbaiki ketetapan warna (color constancy), dan histogram equalization digunakan untuk memodifikasi histogram citra, yaitu dengan mengubah derajat keabuan citra dengan pixel baru. Dengan algoritma retinex diperoleh nilai SNR adalah 14.5157 dan dengan menggunakan histogram equalization nilai SNR adalah 10.7565.