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TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer

teknokom
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Published by Universitas Wiralodra

ISSN : 26218070 EISSN : 26863219 DOI : https://doi.org/10.31943/teknokom

Core Subject : Science,

Computer Science & IT

Jurnal Teknologi dan Rekayasa Sistem Komputer (TEKNOKOM) with frequency 2 (two) times a year, ie in March and September. The editors receive scientific writings from lecturers, teachers and educational observers about the results of research, scientific studies and analysis and problem solving closely related to the field of ICT and System Computer.

Arjuna Subject : -

Articles 139 Documents

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PRE-INCUBATION FRAMEWORK OF SOFTWARE STARTUP USING GROW COACHING MODEL, BLOCK SCHEDULING AND DAILY SCRUM Eko Heri Susanto
TEKNOKOM Vol. 5 No. 2 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Pre-incubation of software startup is a training and coaching activity to improve understanding of knowledge and skills in developing software. The problem that occurs between education in universities and business incubators is the gap, namely the lack of mastery of knowledge and skills in developing software. The solution to this problem is to develop a framework for pre-incubation activities. In this framework, the methodology is used as a combination of the GROW coaching model, block scheduling, and daily stand-up meeting (daily scrum). If before participating in the pre-incubation the tenant takes 4 months to 6 months to build a website application, then after participating in the pre-incubation the tenant can create a website application within 1 week to 4 weeks.

MUZAKI BEHAVIOR IN PAYING ZAKAT THROUGH THE APPLICATION OF THE UNIFIED THEORY MODEL ACCEPTANCE AND USE OF TECHNOLOGY IN JAKARTA PROVINCE Tukhas Shilul Imaroh; Lasmi Indaryani; I Putu Doddy; Anita Setyastuti
TEKNOKOM Vol. 5 No. 2 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

This paper investigated the intents and behavior of muzakki who pay zakat through e-zakat using the Unified Theory of Acceptance and Use of Technology (UTAUT). In DKI Jakarta, the study was done. This article utilizes sampling convenience. The research data were collected using a questionnaire-based survey. Using SmartPLS 3.0, route analysis serves as a statistical instrument for evaluating hypotheses. . The findings indicated that neither the performance expectation variable nor the social influence variable substantially affected the desire to use e-zakat. The variable business expectation had a substantial beneficial impact on both the willingness to use e-zakat and the conditions that allow for a substantial beneficial impact on e-zakat use behavior.

THE INFLUENCE OF TILT ANGLE ON THE PERFORMANCE OF SOLAR PANELS AS A SMART HELMET POWER SUPPLY IN A MOTORCYCLE SAFETY SYSTEM Muhammad Sekal Maulidan; Rahmat Hidayat; Ridwan Satrio Hadikusuma; Ibrahim Lammada
TEKNOKOM Vol. 5 No. 2 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

The performance of a solar panel module is strongly influenced by its orientation and tilt angle. Tests have been carried out to track variations in the performance of the solar panel module and electrical parameters at various angles of inclination in the conditions of Karawang and Bogor. There are two experimental modes: 1) a varying slope module under a constant irradiance level, 2) a varying irradiation intensity at the optimal tilt setting. For the former schematic, the irradiation levels were carried out at 2 different locations, and for the later setup, the angle of inclination of the module was varied from 90° and 180° by using a single axis tracer At 90° tilted angle in Karawang test place at rest condition, morning experiment give the result of 5,69V on average while in Bogor the experiment gives 5,46V on average. At 180° tilted angle in Karawang test place at rest condition, morning experiment give the result of 5,49V on average while in afternoon experiment afternoon 3.026V on average. In Bogor test place morning experiment give solar panel 5,2V on average and 3,33V at afternoon experiment. In the electrical parameters of the module, the open circuit voltage, short circuit current, maximum power point voltage and maximum power point current decrease substantially with increasing slope angle, while the charge factor decreases somewhat gradually. Tests in both Karawang and Bogor in the afternoon and afternoon confirmed that the optimal tilt angle on cloudy on with UV index between 1-2 in the morning and 3-4 in the afternoon on average is 180° tilted and directing the solar panel module at this angle will maximize the captured solar energy and thereby improve its performance.

THE COMPARATIVE STUDY ANALYSIS LOGICAL FILES RECOVERY AND LOW LEVEL FILES RECOVERY USING DIGITAL FORENSIC METHODS Rahmat Hidayat; Marza Ihsan Marzuki; Yuliarman Saragih; Ibrahim Ibrahim; Edmund Ucok Armin; Safrian Andromeda; Imam Budi Santoso; Suroyo Suroyo
TEKNOKOM Vol. 5 No. 2 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

The development of application and network technology is currently so rapid. This technology is widely used as a solution to overcome data inspection problems in the field of Digital Forensics. The importance of Digital Forensics as evidence, especially on computers and mobile devices, is increasing, along with the rapid use of these mobile devices in daily communication. Data and files on computers and smartphones can be deleted intentionally or unintentionally. To recover the data, it is necessary to have Files Recovery. Furthermore, Logical Files Recovery can be made through password encryption, obtained through hack/attack password applications such as Password or even hacked with the "RecoveryMyFile" application. In addition, a search with a file that has a password description can be done. One of the file recovery applications that can be used is the Agent ransack search application, which is more powerful and convenient than Windows Search, which is more complicated if you need to search faster, indexing needs to be done, and restarts. By using Files Recovery analysis, the development of file or data deletion crimes can be overcome with increasingly rapid and advanced information technology, in this case through applications that can be used for file recovery and to restore deleted files.

CHARACTERISTIC TESTING OF THE GROUND CABLE USING TAN DELTA (TD) TEST METHOD ON TWO SEGMENTS OF THE MEDIUM VOLTAGE CABLE MENTENG AREA Christiono Christiono; Miftahul Fikri; Iwa Garniwa; Dani Maula Sattar; Andi Amar Thahara
TEKNOKOM Vol. 5 No. 2 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

This research is based on the existence of underground cable problems due to rainfall in certain areas, especially the Central Jakarta area results in an increase in soil moisture that can degrade the dielectric strength of the SKTM and potentially SKTM interference. Therefore, Tan Delta testing method is carried out as a predictive step to analyze the cable health condition and an early method to determine the good/bad of the test cable. After testing tan delta, it was obtained that the acquisition of segment 1 data results were in good condition because the average value of delta tan in all three phases was 1.0, with the differential results being 0.0 and deviation standard 0.0. Action to segment 1 is periodic maintenance of 5 years. Then in segment 2, the data obtained the average value of tan delta phase R 70.6, phase S 143.9, and phase T 83.92. For differential of phase R 161.7, phase S 33.7, and phase T 135.08. Finally, deviation standard at phase R 4.57, phase S 20.14, and phase T 2.43. From IEEE 400.2-2013 standard, it can be concluded that segment 2 is in poor condition and need action as soon as possible of PD Tests and cable replacement

VISITOR GUIDE APPLICATION AT MUSEUM WITH AUGMENTED REALITY ANDROID-BASED Yunita Dwi Cahaya; Ali Ikhwan; Adnan Buyung Nasution
TEKNOKOM Vol. 6 No. 1 (2023): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Study this aim as a spatial introduction media on each the floor of the museum and the collections of the Regional Museum of Deli Serdang Pada Visitors Android based . Study this conducted at the Regional Museum of Deli Serdang, which is located at Jalan Negara, Petapahan Sports , Arts and Culture Area , Lubuk Pakam , Deli Serdang, North Sumatra 20517. In research this writer use Research and Development (R&D) methods . Study it also uses Rapid Application Development (RAD) as methodology development application . In conclusion this that the Visitor Guide Application (VGA) with technology Augemented Reality at the Regional Museum of Deli Serdang based on Android has built use Unity 3d apps , Blender and Vuforia with attractive appearance and user friendly. Augmented reality technology can used as tool guide because capable displays 3d object on each collection . The Visitor Guide Application (VGA) is also used as an introduction to spatial planning in each area the floor of the museum and collections in the Deli Serdang Regional Museum visitors Android based . Application this aim for make it easy visitors and the museum in the introduction process collections at the Regional Museum of Deli Serdang.

MONITORING VEGETATION HARVEST OF COFFEE TREES USING KNN-CLUSTERING ALGORITHM Dwi Handoko; Nizamiyati Nizamiyati; Herlini Oktaria; Agus Mulyanto; Muhamad Brilliant
TEKNOKOM Vol. 6 No. 1 (2023): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Coffee is one of the plantation commodities spread throughout Indonesia. Coffee is the main commodity for export in Tanggamus Regency. The prediction of crop yields based on aerial photography is the main problem in this study, then there is no dataset of aerial imagery of coffee plantations that are specifically used for the purpose of determining coffee tree vegetation on coffee plantations so that farmers can find out which land is still overgrown by other plants. in addition to coffee trees and the possibility of making predictions for crop yields from aerial imagery of the coffee plantations, this research is also another urgency. This study is intended to build an intelligent model to detect the amount of coffee tree vegetation in a plantation using the KNN-Clustering segmentation algorithm. The image of the coffee tree was taken using a drone with a height of 50 m and an area of 0.25 ha. Preprocessing was carried out. The preprocessed image is called a dataset. After that, the segmentation process is carried out using the Region Growing method to form a black and white image. After Region Growing is done, then the image in Clustering uses the KNN-Clustering method to determine the color pattern of the image in the coffee plantation to distinguish the types of vegetation in the coffee plantation. From the results of KNN-Clustering, the area of coffee tree vegetation is obtained from a total of 0.25 ha of coffee plantation images.

A NODEMCU INTERNET OF THINGS-BASED FIRE AUTOMATION DESIGN WITH BLYNK APPS NOTIFICATIONS Rafli Permana; Andrie Yuswanto; Budi Wibowo
TEKNOKOM Vol. 6 No. 1 (2023): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

The impact of fires causes quite large losses, often even causing fatalities. The method used in the system is monitoring the fire sensor which is used to detect a fire, the buzzer as a notification output in the form of sound, and the water pump as a fire extinguisher which will function after the fire sensor is on. detecting the presence of fire. to detect fire in realtime and 9 in the event of a fire with a research and development. Monitoring approach on fire sensors used to detect the presence of fire, buzzers as output notifications in the form of sound, and water pumps as a tool to extinguish fires which will function after the fire sensor detect the presence of fire.

SKIN CANCER IMAGE DETECTION SYSTEM USING THE CONVOLUTIONAL NEURAL NETWORK MODEL Muhamad Suhaedi; Hamid Abdillah; Annisa Rizki Liliandari
TEKNOKOM Vol. 6 No. 1 (2023): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

The development of science and technology (IPTEK) in the current era is growing very rapidly in various fields such as industry, education, especially the health sector. Many technologies can be used, one of which is artificial intelligence technology. This study aims to detect skin cancer images using CNN so that they can be efficient and precise. This research method uses the convolutional neural network (CNN) method, namely image processing, the development of a multilayer perceptron (MLP), in which the neurons of the data are propagated in two dimensions. Because this method has very high accuracy compared to the fuzzy k-nearest neighbors. The results of this study are that there are 7 classes of skin cancer images including actinic keratosis, basal cell carcinoma, dermatofibroma, benign keratosis, melanocytic nevi, vascular lesions and melanoma. From the results of testing the 7 classes using the convolutional neural network (CNN) method with a very high accuracy rate of 99%, 96%, 98%, 99%, 100%, 99% and 96%, respectively. With the conclusion that using the convolutional neural network (CNN) method produces an average accuracy of 98% compared to the Mobilnetv2, Resnet50 and VGG16 models, which means that the CNN model is proven to be more accurate. So it is hoped that this detection system can be applied as a skin cancer detection system for the world of health.

IMPLEMENTATION OF FUZZY LOGIC ON SPEED PREDICTION ON INCLUDING ROADS Alghi Sawaludin; Rahmat Hidayat; Reni Rahmadewi
TEKNOKOM Vol. 6 No. 1 (2023): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Going through a road with a high slope has a risk of an accident due to a miscalculation by the driver. Therefore, detecting the speed limit to pass it is the solution. The aim of this research is to create a precise and minimal error system that predicts the uphill speed that must be used by the driver. By using fuzzy logic, of course you can predict what speed should be used. For tilt detection, a gyroscope is used and speed detection is being used using a GPS sensor. For the fuzzy inference system itself, it uses the Takagi Sugeno-Kang, method with a linear and constant output. In addition, the calculation of the crisp value is carried out using the manual calculation method and using a simulation application, namely MATLAB. The results of subsequent calculations are compared to calculate the precision value of the system in detecting uphill speed. The calculation uses MAPE. So the results of this study are speed detection systems that must be used on inclines that predict precisely. The implication of this research is that driving safety on high-slope roads can be improved and accidents that occur can be minimized. In addition, the driver can estimate the speed that must be used.

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Editorial Address Jl. Ir. H. Juanda KM.03, Singaraja, Indramayu - Jawa Barat 45312

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Abstract

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Contact Name
Taufik Hidayat

Contact Email
thidayat.ft@unwir.ac.id

Phone
-

Journal Mail Official
teknik.komputer@unwir.ac.id

Editorial Address
Jl. Ir. H. Juanda KM.03, Singaraja, Indramayu - Jawa Barat 45312

Location
Kab. indramayu,

Jawa barat

INDONESIA