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Pengenalan Citra Logo Kendaraan Menggunakan Metode Gray Level Co-Occurence Matrix (Glcm) dan Jst-Backpropagation Imam Fathurrahman; Indra Gunawan
Infotek: Jurnal Informatika dan Teknologi Vol 1, No 1 (2018): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (412.825 KB) | DOI: 10.29408/jit.v1i1.894

Abstract

A car is a vehicle that has a varied shape or model but the difference is the brand or logo. Vehicle logos have their own meaning and meaning for car industry companies. The logo should have a practical and effective or efficient function so that the logo form is part of the marketing and branding program of the car industry company [1]. There are three types of car logos that are now known, in the form of symbols, text, or a combination between the two. The logo is always in the front and back of the car body and usually has a lighter color than the color of the vehicle. One that supports the development of technology is how to recognize a vehicle either from the brand, shape, model and color of the vehicle. Some references that are deemed feasible to help this research include utilizing the weaknesses and weaknesses of the results of previous research, including a paper entitled. Scale Invariant Feature Transform (SIFT) [2]. SIFT is combined with Logistic Regression [3] based on Gradient Orientation Histogram (HOG). Logo Recognition Using Probabilistic Neural Networks [4]. Therefore, the researchers wanted to focus on the logo recognition using the extraction of the Gray Level Co-occurrence Matrix (GLCM) feature. Testing and training testing using ANN-Backpropagation. From the results of this study the best accuracy obtained 95.7%, so that GLCM and ANN-Backpropagation can recognize the image of the vehicle logo.DOI : 10.29408/jit.v1i1.894
Prototipe Robot Pemantau Suhu Dalam Zona Kebakaran Gedung Menggunakan Telemetri Jaringan Nirkabel Indra Gunawan; Imam Fathurrahman
Infotek: Jurnal Informatika dan Teknologi Vol 1, No 2 (2018): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (480.02 KB) | DOI: 10.29408/jit.v1i2.904

Abstract

The building fire can be a serious problem that could Interfere economic stability. Firefighters often have problems in handling if they are in the building there is fog or smoke. Therefore, the presence of this monitoring system is expected to present the data in the form of temperature information in the fire zone to help them. This study starts from the collection of materials and equipment, hardware design stage in the form of a wheeled robot while the design of the software comprising a transmitter section is a microcontroller program and the interface program as a receiver. The research result mobile robot can move properly with the remote control within a distance of 20 m. Video on this robot can be displayed in realtime within a distance +15 m of the screen Because the raspberry pi 3 has a coverage area that is not so far away as well as a temperature sensor capable of measuring a very good accuracy in the range of 250C-500CDOI : 10.29408/jit.v1i2.904
Web-Based Job Vacancies Provider Application in the NTB Region Using the Laravel And Mysql Framework Baiq Ayu Indah Wardaningsih; Amri Muliawan Nur; Imam Fathurrahman
Infotek: Jurnal Informatika dan Teknologi Vol 5, No 1 (2022): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (524.757 KB) | DOI: 10.29408/jit.v5i1.4417

Abstract

This research is motivated by employment that tends to be difficult when looking for work in companies. In other words, applicants still use the usual methods to find information about job vacancies. They go to companies to look at job vacancies notice boards, and look in print media such as newspapers, magazines, brochures, or person-to-person information. Companies that want to open job vacancies also do the same thing. This method has the disadvantage that it is not effective and efficient, because it requires time and money. Therefore, this researcher built a web-based job vacancy provider system using the waterfall model with observation data collection techniques and literature study. This will increase effectiveness in finding work according to their respective fields or abilities. The purpose of this system is to provide convenience for job seekers and companies. Job seekers can obtain job search information online, companies can provide job search information through the website and assist companies in finding prospective applicants according to the desired criteria. From this research, it produces information on web-based job vacancies equipped with a search menu for the desired vacancy category
IMPLEMENTASI WEB SERVICE DALAM PENGEMBANGAN SISTEM INFORMASI DESA BERBASIS ANDROID PADA DESA DARMASARI KECAMATAN SIKUR KABUPATEN LOMBOK TIMUR imam fathurrahman; Muhammad Saiful
Infotek: Jurnal Informatika dan Teknologi Vol 2, No 2 (2019): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (617.413 KB) | DOI: 10.29408/jit.v2i2.1459

Abstract

The Village Office of Darmasari, Sub-district of Sikur is a fairly new office of the village. Darmasari Village is a part of the Semaya Village Expansion which was inaugurated on November 15, 2010. When the present researcher got the opportunity to observe it, the researcher took the initiative to develop an existing system which is called SID, became an android-based system which would help in the dissemination and get information quickly. After carrying out the analysis and conducting several interviews with the village staff, the Darmasari Village Office indeed needed an Android Application as a liaison medium between village officials and the community which would certainly be more efficient than its use and from the previous method of having to access the website in the browser. In realizing the development of this SID system, the present researcher used the SID Web server as the main ingredient, XAMPP as a server, and Android Studio as the media for making Android applications. This Android-based SID Darmasari can be used to help and make it easier for people to receive information quickly in public services to be more efficient.DOI : 10.29408/jit.v2i2.1459
APLIKSI PENGOLAHAN DATA PELAYANAN KESEHATAN MASYARAKAT BERBASIS WEB PADA KELURAHAN KEMBANG SARI amri muliawan nur; imam fathurahman
Infotek: Jurnal Informatika dan Teknologi Vol 3, No 2 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (605.067 KB) | DOI: 10.29408/jit.v3i2.2319

Abstract

Poskesdes (Village Health Post) Kembang Sari provides health services to rural communities so that the realization of a healthy, responsive community capable of preventing and overcoming health problems. Patient data collection at the poskesdes kembang sari is still done manually which results in frequent errors in recording patient data. Especially, at the time of data compilation it will be made in the form of reports. To overcome this problem, the authors propose to build and design an application that can help health workers in making patient data reports. The method used in this system is to use the web as an access medium using PHP and MySQL programming languages. In the design, this system uses flow map, context diagrams and database tables. In conclusion, this application can help and facilitate village health service workers in the Kembang Sari Village in entering data, verifying, making reports about patient data more optimallyDOI : 10.29408/jit.v3i2.2319
Sistem Informasi Geografis Pemetaan Sebaran Data Covid-19 Pada Puskesmas Kerongkong Kabupaten Lombok Timur Berbasis Web Imam Fathurrahman; Moh Farid Wajdi; Hadian Mandala Putra; Baiq Vinaru Widarina
Infotek: Jurnal Informatika dan Teknologi Vol 5, No 1 (2022): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (498.624 KB) | DOI: 10.29408/jit.v5i1.4392

Abstract

An information system is a collection of data or facts that are processed and processed in such a way as to produce something that can be understood and can be useful for the recipient. Among the general public, the need for accurate and fast information is urgently needed at this time, especially information regarding the spread of the Covid-19 disease that is hitting the world today. Covid-19 (Coronavirus) is a virus that can attack the respiratory tract and can be transmitted to anyone through droplets of phlegm. However, in conveying information by the Kerongkong Health Center officers regarding the Covid-19 distribution area in the Suralaga sub-district, they still use the socialization method. This method is considered right on target, but it is considered less effective for villages that have a fairly high distribution rate in the Suralaga sub-district. Therefore, an information system for Mapping the Covid-19 Spread Area is needed that is fast and accurate in conveying information to the public, the goal is to make it easier for the puskesmas to take preventive actions against areas that have a fairly high spread rate by looking at the location of the distribution area in the sub-district. suralaga. WebGIS is a web-based geographic information system consisting of several components, namely mapping graphic design, digital maps with geographic analysis, computer programs, and a database that are interconnected into one part. In the preparation of the stages of this research carried out by means of data collection, system design, system creation stage, testing and evaluation. The existence of WebGIS mapping the patient's location can help the throat health center in collecting data on Covid-19 patients and can quickly provide information to the public.
Pendataan Mitra Produk Herbal CV. Rinjani Tirta Lombok Timur Berbasis Geographic Information System (GIS) Imam Fathurrahman; Lalu Muhammad Samsu
Infotek: Jurnal Informatika dan Teknologi Vol 4, No 1 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.043 KB) | DOI: 10.29408/jit.v4i1.2995

Abstract

The purpose of this research is to facilitate consumers in finding partners who sell herbal products from CV. Rinjani Tirta which is in East Lombok.Where the company is engaged in herbal products and has more than 86 products. In fact, it is one of the companies that has obtained a BPOM permit in East Lombok and has been recommended by the BPOM to continue to participate in activities held by the BPOM and the government related to permits, seminars, and product exhibitions The use of a Geographic Information System (GIS) can help provide information on the data collection of partners working with companies. The author researched with several stages, namely information gathering, planning, development of initial product formats, initial product trials, field trials, product revisions, and final results. The location of the research is CV. Rinjani Tirta located in the village of Ajani Timur, Suralaga subdistrict. The results of this study are very helpful CV. Rinjani Tirta in promotion and gathering information about partners and areas that have been widely spread and make it easier for consumers to find herbal products. Besides, to streamline the work of employees and of course indirect promotions from partners.
Identifikasi Kematangan Buah Mentimun Berbasis Citra Digital Menggunakan Jaringan Syaraf Tiruan Backpropagation imam fathurrahman; Amri Muliawan Nur; Fathurrahman Farhurrahman
Infotek: Jurnal Informatika dan Teknologi Vol 2, No 1 (2019): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.156 KB) | DOI: 10.29408/jit.v2i1.976

Abstract

Cucumber, cucumber, or cucumber (Cucumis sativus L) are plants that produce edible fruit. Especially in NTB cucumber production in 2015 reached 5,224 tons with a harvest area of 326 hectares. It is at number five after onions, chili, tomatoes and cabbage [2]. There are several parameters that can affect the quality of cucumbers, one of which is the shape, level of planting age and maturity [5]. Maturity of cucumbers can be recognized physically in terms of skin texture and color. The identification process of physical properties conventionally still has many disadvantages including the time needed is relatively long and produces a variety of products due to the limitations of human visuals. This becomes an obstacle so that it requires the application of computer image processing technology, especially in agriculture. Because of this, the researchers proposed using GLCM as feature extraction and using Backpropagation artificial neural networks for testing and training so that the research resulted in an accuracy of 89.6%.DOI : 10.29408/jit.v2i1.976
Identifikasi Kematangan Buah Mentimun Berbasis Citra Digital Menggunakan Jaringan Syaraf Tiruan Backpropagation imam fathurrahman; Amri Muliawan Nur; Fathurrahman Farhurrahman
Infotek: Jurnal Informatika dan Teknologi Vol 2, No 1 (2019): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.156 KB) | DOI: 10.29408/jit.v2i1.976

Abstract

Cucumber, cucumber, or cucumber (Cucumis sativus L) are plants that produce edible fruit. Especially in NTB cucumber production in 2015 reached 5,224 tons with a harvest area of 326 hectares. It is at number five after onions, chili, tomatoes and cabbage [2]. There are several parameters that can affect the quality of cucumbers, one of which is the shape, level of planting age and maturity [5]. Maturity of cucumbers can be recognized physically in terms of skin texture and color. The identification process of physical properties conventionally still has many disadvantages including the time needed is relatively long and produces a variety of products due to the limitations of human visuals. This becomes an obstacle so that it requires the application of computer image processing technology, especially in agriculture. Because of this, the researchers proposed using GLCM as feature extraction and using Backpropagation artificial neural networks for testing and training so that the research resulted in an accuracy of 89.6%.DOI : 10.29408/jit.v2i1.976
Prediksi Tingkat Kelancaran Kredit BSU BMT Tunas Harapan Syari’ah Pringgasela Kabupaten Lombok Timur Menggunakan Algoritma Neural Network Amri Muliawan Nur; Imam Fathurrahman; Yahya Yahya
Infotek: Jurnal Informatika dan Teknologi Vol 4, No 2 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (193.061 KB) | DOI: 10.29408/jit.v4i2.3580

Abstract

The role of credit in a cooperative is very important. With the credit can be a source of profit for the cooperative. The cooperative was founded with the aim of prospering its members. One of the advantages is that cooperative members can apply for credit loans. To approve the proposed loan, it is necessary to analyze the credit submitted by the members. This has become one of the difficulties for several cooperatives, one of which is KSU BMT Tunas Harapan Syari'ah which is located in thePringgasela village, Pringgasela District, East Lombok Regency. The problem that often arises is that the analysis conducted is often incorrect, resulting in a prolonged bad credit in installment payments. The reason is that cooperatives always use statistical data which is sometimes inaccurate because there is no processing using data processing methods. Therefore, the neural network data mining method can be used as a tool to analyze which customers are problematic and not problematic. From the results of the research that has been done, it produces an accuracy of 96.19% and an AUC of 0.976