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G-Tech : Jurnal Teknologi Terapan
Published by Universitas Islam Raden Rahmat Malang
ISSN : 25808737     EISSN : 2623064X     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering
Jurnal G-Tech bertujuan untuk mempublikasikan hasil penelitian asli dan review hasil penelitian tentang teknologi dan terapan pada ruang lingkup keteknikan meliputi teknik mesin, teknik elektro, teknik informatika, sistem informasi, agroteknologi, dll.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 984 Documents
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Identifikasi Jenis Kelamin Otomatis Berdasarkan Mata Manusia Menggunakan Convolutional Neural Network (CNN) dan Haar Cascade Classifier Afu Ichsan Pradana; Wijiyanto Wijiyanto
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3814

Abstract

In forensics and security, it is necessary to determine a person's gender. Gender identification utilizing several types of identification, such as pictures of faces, voices, or handwriting, has been extensively studied in recent years. But a lot of offenders are hard to spot on surveillance tape because they cover their heads or have masks on that only show particular eye shapes. In this article, we explore the usage of a CNN with Relu activation for each hidden layer and the Haar Cascade Classifier Algorithm to detect objects of the human eye to recognize the human eye using deep learning. 11.525 Images of male and female eyes were used as the study's data. Utilizing Adam's optimization (Adaptive Moment Estimation), the training procedure lasts for 20 epochs. This study's findings have a 92% accuracy rate for automatically identifying gender. The performance evaluation matrix was used in this investigation, and it produced an overall F1-Score of 93%.
Alat Pendeteksi Kebocoran Gas LPG Pada Resto Ayam Bakar dan Goreng Kremes Tata Berbasis Internet Of Things Tri Endah Purnamawati; Afu Ichsan Pradana; Joni Maulindar
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3815

Abstract

LPG (Liquefied Petroleum gas) is one of the most commonly used gases for household purposes, comprising two components: propane (C3H8) and butane (C4H10). However, LPG gas has a drawback, namely the danger associated with gas leaks. LPG gas leaks pose a highly hazardous risk that can impact human safety and the surrounding environment. In this journal, the author discusses the development of a system for monitoring the detection of LPG gas leaks using an MQ-2 sensor and the ESP32 microcontroller. Subsequently, the system transmits LPG gas data to the Blynk application, providing users with quick information through sound and messages. The research test results indicate that the MQ-2 sensor is effective in rapidly detecting gas concentrations ranging from 300 to 1000 ppm.
Analisis Perancangan Stasiun Kerja dalam Memproduksi Produk Inalcafa Jacket dengan Lima Metode Line Balancing Harun Indra Kusuma; Hadi Purnomo
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3854

Abstract

The efficiency of a work system can be influenced by several factors, namely the operator and machine capacity in the production process. The line balancing method is the right method to increase the efficiency of a work system. From the various work stations, the researchers balanced the processing time of the work stations so that each line of work stations could complete quickly, thereby reducing waiting time. In this research, the researcher started the activity by collecting data from each work station in the process of making the Harrington Jacket which was produced by CV. 913 productions. From the results of the data obtained. Researchers processed data using Bill of Materials (BOM), Process Plan Sheet (LRP), Precedence Diagram, Assembly Chart, and Operation Process Chart (OPC). In order for the production process to be very efficient, methods are needed. The methods used are the Ranked Positional Weight (RPW) method, the Mirror RPW method, the Largest Candidate Rule (LCR) method, the J.Wagon method and the Region Approach method.
Pengembangan Sistem Keamanan Kendaraan Bermotor Menggunakan Teknologi Fingerprint dengan Metode Prototype Berbasis Internet Of Things Somantri Somantri; Gina Purnama Insany; Roby Ryansyah
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3879

Abstract

With the increasing number of motor vehicles, the demand for sophisticatedsecurity systems has become more imperative. This research focuses on thedevelopment of a motor vehicle security system utilizing fingerprint technologywith an Internet of Things (IoT)-based approach.The system is powered by theNodeMCU ESP32, enabling access through fingerprint verification to replacethe use of physical keys or remote controls, as well as conventional motor contactand starter mechanisms. The GPS module provides advanced trackingcapabilities, allowing real-time monitoring of the vehicle's position through anAndroid application. Firebase functions as the real-time database for thestorage and management of user data and the location of the vehicle. Throughthe implementation of the Internet of Things, vehicle owners can access andcontrol the security of their vehicles in real-time using smart devices such assmartphones. This development method is tested to measure the level of securityand user convenience. The research outcomes are anticipated to make a positivecontribution to the advancement of motor vehicle security systems, aiming toreduce vehicle theft and provide an effective and practical solution for ensuringvehicle security.
Pemodelan Jumlah Kasus Tuberkulosis pada Anak di Kota Bandung dengan Pendekatan Geographically Weighted Negative Binomial Regression Brenda Bunga Prasenda; Mohamad David Hermawan; Mutiara Aisharezka; Sufyan Ats Tsauri; Nur Chamidah
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3881

Abstract

Tuberculosis (TB) is an infectious disease. According to WHO (2020), 1.5 million people die from tuberculosis and it is also the 13th largest cause of death in the world and the second largest infectious disease cause of death after COVID-19. This research aims to create a new model based on different methods, targets and time to determine the modeling of factors that influence the number of tuberculosis diseases in Bandung City using the Geographically Weight Negative Binomial Regression (GWNBR) method. The modeling in this study is known to have differences between Negative Binomial Regression and Geographically Weight Negative Binomial Regression (GWNBR) with Bojongloa Kaler having the highest cases, significantly influenced by the number of cases in adult men. This research encourages the Bandung City government to provide equitable health services, consider these factors, and evaluate policies to reduce tuberculosis cases in children aged 0-14 years, especially in adult males.
Development of Engineering Team Performance Management Applications in Apartments Using Extreme Programming Methods Denny Jean Cross Sihombing
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3883

Abstract

This research aims to analyze and develop a performance management application for a team of technicians in an apartment using the Extreme Programming (XP) method. The initial phase involved in-depth data collection on the technician team's needs, challenges, and dynamics. Next, the application was developed with XP principles, providing features such as task tracking, job assignments, real-time status updates, and daily performance reporting. The final stage involved analyzing technology acceptance through internal trials and collecting feedback from the technician team and potential users. Technology acceptance simulations with data showed that the app successfully coped with operational scenarios and received positive feedback. The application was tested by users, with the number of users being 50% of the total number of users, with a user satisfaction rate of 85%. The conclusions of this study indicate that the engineering team successfully accepted the application, has the potential to improve performance management efficiency, and contributes to the understanding of the application of XP in application development for the property industry.
Rancang Bangun Panel Auto Transfer Switch (ATS) Pada Sistem Hybrid PLN – Panel Surya Berbasis Timer Switch M. Ashar Tahir; Muhammad Irsan B
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3889

Abstract

Design of an Auto Transfer Switch (ATS) Panel on a Hybrid PLN Sistem – Timer Switch Based Solar Panel. Along with the times, modern technological equipment that is present today is very helpful for human life. Using the MCB, timer, contactor, panel box. The results of the study obtained electric current data from PLN when using a lamp load of 5, 10, 15, 20, 25 watts respectively, namely 0.03, 0.06, 0.09, 0.12, 0.15 A with a calculated voltage of 166 Volts. The current from the solar panel when using a light load of 5, 10, 15, 20, 25 watts respectively is 0.03, 0.06, 0.09, 0.13, 0.16 A with a calculated voltage of 166, 153 and 156 Volts. The lag time for moving from PLN to solar panels is 1.60 seconds. Savings using this hybrid sistem is 19,468 rupiah.
A Literature Review to Evaluate the Impact of Machine Learning and Artificial Intelligence for Lung Cancer Patient in COVID-19 Pandemic Selly Anastassia Amellia Kharis; Arman Haqqi Anna Zili; Fauzan Ihza Fajar; Agustiani Putri; Melisa Arisanty
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3891

Abstract

Cancer patients are considered susceptible to COVID-19 associated with the presence of an immunosuppressive state. One type of cancer that causes many deaths is lung cancer. There are many challenges and difficulties, especially in treating lung cancer during the COVID-19 period. As technology develops, experts are trying to use machine learning and artificial intelligence in the treatment and detection of lung cancer. Artificial intelligence and machine learning can be used to predict lung cancer using data from microarrays, pictures, and other sources. Limited data on COVID-19 patients with a relatively small sample, information regarding the implementation of machine learning and artificial intelligence for the treatment of COVID-19 patients with lung cancer is still limited. Therefore, it is necessary to have a literature review to explain the effect of machine learning and artificial intelligence for lung cancer patients during the COVID-19 period from existing studies. The literature review used in this study. Sourced from the search results of journals from various countries related to lung cancer and COVID-19 in Pubmed, Science Direct, and Google Scholar. The results show an important role of machine learning and artificial intelligence for lung cancer patients in COVID-19 pandemic.
Analisis Prediktif Menggunakan Metode Hybrid Seasonal Autoregressive Integrated Moving Average – Artificial Neural Network pada Data Konsentrasi PM2.5 Harian di DKI Jakarta I Kadek Pasek Kusuma Adi Putra; Sediono; M. Fariz Fadillah Mardianto; Elly Pusporani
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3896

Abstract

Air pollution, particularly PM2.5, poses a global threat that proves challenging to address. This particulate matter has significant environmental, health, and economic repercussions in DKI Jakarta. The aim of this research is to predict PM2.5 concentrations with exceptional accuracy. The study introduces an innovative prediction model, namely Hybrid ARIMA-ANN. In comparison to ARIMA and ANN individually, this model demonstrates outstanding performance, achieving an R2 of 0.9012, MAPE of 13.603%, and RMSE of 4.061 on the training data. Evaluation on test data yields an RMSE of 5.961 and MAPE of 7.622%, indicating excellent predictive capabilities over the next 14 periods. These findings offer crucial insights for the government to forecast air quality in the future and enhance policies addressing air pollution in DKI Jakarta. The implications of these conclusions also align with the achievement of SDGs, particularly goals 3, 13, and 15.
Pengaruh Display Produk dan Atmosfer Toko Terhadap Impuls Buying Pelanggan Koperasi Mahasiswa menggunakan Partial Least Square (PLS) Ela Rolita Arifianti; Mochamad Rizqi Junianto; Fahrul Afiyas Suwignyo
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3897

Abstract

Article 33 paragraph (1) of the 1945 Constitution states that the Indonesian economy is structured as a joint business based on family principles and Cooperatives are one of the business entities in accordance with the intended economic structure. This research was conducted by distributing questionnaires to 70 respondents using the probability sampling method at Amanah student cooperative visitors using Partial Least Square (PLS 3.0) regression analysis to test the hypothesis to determine the effect of product displays and shop atmosphere on impulse buying of Amanah student cooperative visitors

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