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<![CDATA[Memanfaatkan Digital Marketing bagi Usaha Rumahan Sayuran Hidroponik dengan E-Commerce sebagai Media Promosi ]]>
<![CDATA[Sarwindah, Sarwindah]]>;
<![CDATA[Laurentinus, Laurentinus]]>;
<![CDATA[Rizan, Okkita]]>;
<![CDATA[Hamidah, Hamidah]]>
<![CDATA[ Jurnal Teknologi Terpadu Vol 7 No 2: Desember, 2021 ]]>
Publisher : <![CDATA[LPPM STT Terpadu Nurul Fikri ]]>
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DOI: 10.54914/jtt.v7i2.338
<![CDATA[This research aims to take advantage of marketing strategies with digital marketing using e-commerce as a promotional medium where currently the cultivation of vegetables and fruit developed in the world of agribusiness makes farmers compete with each other and cultivate in the agricultural sector, one of which is the hydroponic planting method. Therefore, automatically the selling power of the vegetables itself also has a competitive edge. The difficulty and the added lack of promotional and sales media at Hydroponic Gardens is the background for making information systems on Hydroponic Gardens, so that by utilizing digital marketing it can increase promotional media and increase sales results. The research method used is FAST while the application program was developed using PHP and the database used was MySQL and the script was developed with Sublime Text. The purpose of this research is to utilize e-communication and build a system in order to facilitate promotion and sales as well as make it easier for owners to be able to view transactions and sales reports. So that the management of all existing data can be monitored through the system with an easier process.]]>
<![CDATA[Buku Tamu Perpustakan Berbasis Website Dengan Metode Agile (Perpustakaan Badan Pusat Statistik Kabupaten Brebes) ]]>
<![CDATA[Suci, Ika Rahmawati]]>;
<![CDATA[Prasetyo, Novian Adi]]>;
<![CDATA[Fitriana, Gita Fadila]]>
<![CDATA[ Jurnal Teknologi Terpadu Vol 7 No 2: Desember, 2021 ]]>
Publisher : <![CDATA[LPPM STT Terpadu Nurul Fikri ]]>
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DOI: 10.54914/jtt.v7i2.390
<![CDATA[The design of the library guestbook dashboard system at BPS assists in processing visitor data on the processing staff by providing an information system in the form of a website in the processing section. Visitors fill out their bio by the guidelines by utilizing the website on the device. This website makes with a hypertext preprocessor (PHP) programming language that uses databases as a data processing medium. PHP uses MYSQL as a database. The method used to make a website is agile. In this study, data collection conducts by interviewing the BPS sources of Brebes Regency. In this study, researchers found problems in recording guest data of the BREBES Regency BPS library using stationery. Agile methods can do in the creation of this website with results by the requests of BPS staff of Brebes Regency for the creation of a guest book website of the LIBRARY bps Brebes regency has been tested using black box testing methods through google meet media and testing directly with participants of 7 processing staff. From the results of black box testing, 100% of respondents answered that all functional aspects of the BPS library guest book website system developed can function by the design and needs of the system.]]>
<![CDATA[Penerapan Algoritma Genetika Untuk Mencari Optimasi Kombinasi Jalur Terpendek Dalam Kasus Travelling Salesman Problem ]]>
<![CDATA[Yusron Mubarok, Aldhiqo]]>;
<![CDATA[Chotijah, Umi]]>
<![CDATA[ Jurnal Teknologi Terpadu Vol 7 No 2: Desember, 2021 ]]>
Publisher : <![CDATA[LPPM STT Terpadu Nurul Fikri ]]>
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DOI: 10.54914/jtt.v7i2.424
<![CDATA[In delivering packages, goods, and in doing a business, location is a critical variable to control. The number of cases is often found in the arrival of late packages because the courier cannot find the fastest or most efficient route. Determining the most effective distance in a shipment of goods or packages determines customer satisfaction. In this case, the authors make an alternative to search for the shortest path optimization in the Travelling Salesman Problem (TSP) using genetic algorithm methods. With this method, the author wants to analyze and calculate the optimal or shortest route with the data set used. With the principle of a genetic algorithm that resembles the selection of living things with the population as part of each individual, each individual will represent by a fitness value. The application used to make this application is Matlab 2020a. The research results show that the optimal value of generation is 200 generations with the optimal crossover probability of 0.8, and the optimal mutation probability is 0.005. By finding the optimal value of each required variable, the graph of the shortest route will see. This value can be said to be best because the fitness obtained from these results is 0.036 indicating the most optimal value.]]>
<![CDATA[Otomatisasi Sistem Pengendalian dan Pemantauan Kadar Nutrisi Air menggunakan Teknologi NodeMCU ESP8266 pada Tanaman Hidroponik ]]>
<![CDATA[Marisa, Marisa]]>;
<![CDATA[Carudin, Carudin]]>;
<![CDATA[Ramdani, Ramdani]]>
<![CDATA[ Jurnal Teknologi Terpadu Vol 7 No 2: Desember, 2021 ]]>
Publisher : <![CDATA[LPPM STT Terpadu Nurul Fikri ]]>
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DOI: 10.54914/jtt.v7i2.430
<![CDATA[The number of evictions of agricultural land to be used as buildings, offices and settlements has become narrow and agricultural land is reduced, so that farmers are now starting to grow a lot of crops using the hydroponic method, where this hydroponic method is a method of farming without soil elements. However, this hydroponic method requires intensive checking to monitor the condition of nutrient levels in the water so that plants grow well. This is a serious problem among hydroponic farmers because if the nutrient levels in the water do not match the needs of the type of plant, it will cause the death of the plant. Lettuce hydroponic plants require a water nutrient dose (PPM) of 560 – 840. If the PPM value exceeds the ideal value in the nutrient solution, it will result in reduced water absorption by lettuce plants so that the food formation process (photosynthesis) is disrupted. Meanwhile, if the PPM/EC value is smaller than the ideal value, the lettuce growth process will be hampered. Therefore, an automation control and monitoring system was made using the Deep Flow Technique method in adjusting the nutrient dose based on the concentration value by converting the PPM value on hydroponic plants according to the age of the plant. the system that is made can control the volume of nutrients well so as to achieve ideal nutritional conditions.]]>
<![CDATA[Analisis Sentimen dan Emosi Vaksin Sinovac pada Twitter menggunakan Naïve Bayes dan Valence Shifter ]]>
<![CDATA[Akbar, Bagus Muhammad]]>;
<![CDATA[Akbar, Ahmad Taufiq]]>;
<![CDATA[Husaini, Rochmat]]>
<![CDATA[ Jurnal Teknologi Terpadu Vol 7 No 2: Desember, 2021 ]]>
Publisher : <![CDATA[LPPM STT Terpadu Nurul Fikri ]]>
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DOI: 10.54914/jtt.v7i2.433
<![CDATA[The Sinovac vaccine is among the Covid-19 news in the world in early 2021. That information has led to public responses between the pros and cons. Through Twitter media, the public responds to the issue of the Sinovac; therefore, their opinions on Twitter can analyze to count the percentage of sentiment and emotion towards the Sinovac. This analysis hopes to provide a wise and objective reference, although the pros and cons information is still emerging. This study uses Rstudio for sentiment analysis through Twitter opinion classification using Naïve Bayes and the Valence Shifter Lexicon method to analyze emotions, also using the Naïve Bayes. The Data is 2000 English-language Twitter comments limited to the latest and most popular tweet based on the Sinovac keyword since February 1, 2021, from all Twitter users worldwide. The results showed that Naïve Bayes recognized 1433 (71.65%) positive sentiments, 403 (20.15%) negative sentiments, and 164 (8.2%) neutral sentiments. Meanwhile, Valence Shifter Lexicon recognized 903 (45.15%) positive sentiment, 437 (21.85%) negative sentiment, and 660 (33%) neutral sentiments. The Naïve Bayes also succeeded in recognizing emotions with the highest number 1727 (86.35%) mixed emotions and 141 (7.05%) joy emotion.]]>
<![CDATA[Pengukuran Tingkat Kesiapan Implementasi E-Learning di Politeknik Negeri Jakarta ]]>
<![CDATA[Warsuta, Bambang]]>;
<![CDATA[Muharram, Asep Taufik]]>;
<![CDATA[Yusdisti, Iga]]>;
<![CDATA[Jasmine, Syahda Afallia]]>
<![CDATA[ Jurnal Teknologi Terpadu Vol 7 No 2: Desember, 2021 ]]>
Publisher : <![CDATA[LPPM STT Terpadu Nurul Fikri ]]>
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DOI: 10.54914/jtt.v7i2.434
<![CDATA[Politeknik Negeri Jakarta (PNJ) is anticipated to be an Asia-Class Polytechnic. The strategic issue of PNJ development to be transformed into an Asia-Class Polytechnic is the implementation of “Digital Transformation†for learning and servicing. One of the forms of this digital transformation is e-learning. The success of e-learning is influenced by how much the institution has prepared to utilize information technology in the learning process. This research uses an action research design with a questionnaire instrument based on an established model. Aydin and Tasci Model, adapted for an educational institution, is utilized for the preparedness evaluation. The measurement scale used in the model is a Likert scale (1-5). Aydin and Tasci divided the scale into four assessment intervals, which is not ready, needs much work (index 1-2,59); not ready, needs some work (index 2,6-3,39); ready, but needs a few improvements (index 3,4-4,19); ready go ahead (index 4,2-5). The result with a score of 4,16 indicates that PNJ is ready to implement e-learning with slight improvement, which is related to self-development and innovation.]]>
<![CDATA[Penerapan Computer Vision Menggunakan Metode Deep Learning pada Perspektif Generasi Ulul Albab ]]>
<![CDATA[Arifin, Imamul]]>;
<![CDATA[Haidi, Reydiko Fakhran]]>;
<![CDATA[Dzalhaqi, Muhammad]]>
<![CDATA[ Jurnal Teknologi Terpadu Vol 7 No 2: Desember, 2021 ]]>
Publisher : <![CDATA[LPPM STT Terpadu Nurul Fikri ]]>
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DOI: 10.54914/jtt.v7i2.436
<![CDATA[Machine learning is one of the applications of artificial intelligence. The use of machine learning in computer vision is closely related to deep learning where computer scientists get inspiration about deep learning technology from the environment. The purpose of the research in this manuscript is to know and understand deep learning technology along with simple examples in processing image objects and to know and understand artificial intelligence technology from the perspective of the ulul albab generation so that it can provide comprehensive benefits for the world. The research conducted in this paper is a type of qualitative research with library research using various books and other reading literature such as journals and special websites so as to produce information on the topic under study. Artificial intelligence technology will always develop and lead to increasingly sophisticated directions, but technology also has a negative impact. The Ulul Albab generation must be able to struggle to have a positive impact on society because the Ulul Albab generation is the hope for the progress of Islamic civilization in various sectors of science and technology.]]>
<![CDATA[Pengembangan Absensi berbasis Mobile Aplikasi pada Badan Kepegawaian dan Pengembangan Sumber Daya Manusia Kabupaten Bone ]]>
<![CDATA[Usman, Syahrul]]>;
<![CDATA[Jeffry, Jeffry]]>;
<![CDATA[Aziz, Firman]]>
<![CDATA[ Jurnal Teknologi Terpadu Vol 7 No 2: Desember, 2021 ]]>
Publisher : <![CDATA[LPPM STT Terpadu Nurul Fikri ]]>
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DOI: 10.54914/jtt.v7i2.437
<![CDATA[Since being designated a global pandemic by the world health agency (WHO), the Corona Virus Disease (Covid-19) outbreak has become a scourge worldwide; various standard transmission control procedures have been set by WHO to break the chain of transmission. Bone District Government through the Circular of the Regional Secretary No. 800/1919/VI/BKPSDM/2020 dated June 4, 2020, regarding the work system of State Civil Apparatus Employees (ASN) in the new standard order regulates employee attendance using manual attendance and not using fingerprint attendance machines, and this will undoubtedly affect the recording of the performance of each ASN where the attendance data is already connected to the e-performance application that is applied to the Bone district. The purpose of this research is to create an online attendance application based on Android Mobile to be an alternative way of being absent by using the data communication method using the Representational State Transfer (Rest) web service architecture and utilizing the HTTP protocol with JavaScript Object Notation (JSON) format and the Java programming language as a language. Mobile Application programming. The results of this study are a mobile-based attendance application that has been tested for web service performance using the Apache JMeter application to ensure this application is ready to be used simultaneously by many ASN.]]>
<![CDATA[Implementasi Skyline Query pada Sistem Rekomendasi Pemilihan Tempat Kuliner di Kota Depok, Bogor, dan Tangerang ]]>
<![CDATA[Asqia, Misna]]>;
<![CDATA[Munir, Sirojul]]>
<![CDATA[ Jurnal Teknologi Terpadu Vol 7 No 2: Desember, 2021 ]]>
Publisher : <![CDATA[LPPM STT Terpadu Nurul Fikri ]]>
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DOI: 10.54914/jtt.v7i2.440
<![CDATA[In recent years, creative economic businesses in the form of culinary stalls have sprung up in various regions in Indonesia. A digital platform application for recommendations for picking regional superior culinary tours is likely to be highly beneficial to tourists in selecting the desired culinary location based on their tastes. There are three aspects as standards for culinary enterprises: product aspects, service aspects, and management aspects; these aspects can be a reference in one's preferences in choosing or determining a rating from a culinary business. This study uses the skyline query method to implement recommendations for selecting places to eat based on tourist preferences on four aspects of criteria: food, atmosphere, service, and health. The survey results through questionnaires from 169 respondents from Depok, Bogor, and Tangerang obtained 85.63% of respondents choosing places to eat based on service aspects, 77.42% health aspects, 73.99% atmosphere aspects, and 67.82% food aspects. The results of implementing the skyline query algorithm on a MySQL relational database system and a web-based application prototype obtained 100% of the functional applications running well.]]>
<![CDATA[Sistem Pengenalan Benih Padi menggunakan Metode Light Convolutional Neural Network pada Raspberry PI 4 B ]]>
<![CDATA[Hermawan, Indra]]>;
<![CDATA[Arnaldy , Defiana]]>;
<![CDATA[Agustin, Maria]]>;
<![CDATA[Widyono, M. Farishanif]]>;
<![CDATA[Nathanael, David]]>;
<![CDATA[Mulyani, Meutia Tri]]>
<![CDATA[ Jurnal Teknologi Terpadu Vol 7 No 2: Desember, 2021 ]]>
Publisher : <![CDATA[LPPM STT Terpadu Nurul Fikri ]]>
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DOI: 10.54914/jtt.v7i2.443
<![CDATA[Recently, Deep learning methods with Convolutional Neural Networks (CNNs) have been widely used for image classification tasks. CNN has an unrivaled advantage in extracting discriminatory image features. However, many existing CNN-based methods are designed to go deeper and more significant with more complex layers that make them challenging to implement on mobile devices or real-time devices that use microcontrollers like raspberry pi, Arduino, and immediately. This is overcome by using a Light Convolutional Neural Network (LCNN), so it needs to experiment to test the difference in LCNN performance on a personal computer and a raspberry pi four microcontrollers with a Raspbian operating system. Experiments will be carried out using several performance measures: accuracy, F-1 score, recall, precision, and time to get performance results from deep learning. As such, the results and model architecture will confirm performance differences across individual devices and show how the model performs on resource-constrained or real-time devices. Tests show that the performance of the raspberry pi, which is a tool with limited resources, does not affect the quality of image recognition but affects the recognition processing time because the raspberry pi requires a longer processing time to perform one data or photo recognition process. This will accumulate the time required for processing many data, so it can conclude that the raspberry pi and tools with limited resources are not very practical for conducting recognition training and carrying out a recognition process that contains a lot of data or photos in one process.]]>
