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Analysis of Food Ordering Information Systems and Web-Based Digital Payments for Cafes
Full text linkCafe is a place of business engaged in culinary. Currently, the café is a place that is quite in demand by all circles, because it can be used as a place to relax or do assignments for students. However, many cafes have difficulty in serving reservations and still use conventional systems. With a menu ordering information system and web-based digital payments applied to this café, it aims to speed up the menu ordering process, facilitate payments with digital wallets and make the ordering process more efficient. With this information system, café sales report data becomes computerized, so that data can be stored properly. The method used in this study uses data collection methods, namely by observation, interviews, and literature studies. As for system development using a methodology or prototype approach. Based on the research conducted, it produced a menu ordering information system and web-based digital payments using PHP and Mysql. And from testing the system with blackbox testing conducted by 2 testers, the system made was able to make the ordering process at the café more efficient
Implementasi dan Perbandingan Performa Algoritma Fuzzy Tsukamoto dan Mamdani pada Sistem Exhaust Fan Berbasis IoT
Full text linkDalam produksi kerupuk, proses penggorengan sering menghasilkan asap dan panas berlebih yang dapat berdampak buruk pada kesehatan pekerja. Asap dapur mengandung senyawa berbahaya seperti sulfur oksida, nitrogen dioksida, dan karbon monoksida. Diperlukan kipas pembuangan untuk mengeluarkan asap dan menstabilkan suhu, namun kontrol manual kurang efektif. Sistem kontrol otomatis, termasuk mikrokontroler, set points, PID, dan logika fuzzy, telah dikembangkan. Kontrol berbasis fuzzy dianggap paling baik untuk beradaptasi dengan kondisi lingkungan. Penelitian ini mengevaluasi perbedaan antara metode fuzzy Mamdani dan fuzzy Tsukamoto dalam mengontrol kipas pembuangan. Pengujian dilakukan dengan 100 titik data selama 5 kali percobaan untuk masing-masing metode. Hasil penelitian menunjukkan bahwa metode logika fuzzy Tsukamoto mencapai akurasi lebih baik yaitu 99,35%, dibandingkan dengan logika fuzzy Mamdani yang hanya mencapai 95,45%. Oleh karena itu, sistem kontrol kipas pembuangan lebih efektif menggunakan metode logika fuzzy Tsukamoto. Metode fuzzy Tsukamoto memberikan respon yang lebih cepat dan tepat dalam menyesuaikan kecepatan kipas terhadap perubahan kondisi asap dan suhu di dapur. Hal ini dikarenakan metode Tsukamoto mampu menangani perubahan input yang lebih kompleks dan menghasilkan output yang lebih halus. Di sisi lain, metode fuzzy Mamdani memiliki kelebihan dalam hal kesederhanaan dan kemudahan implementasi, namun kurang responsif terhadap perubahan kondisi yang cepat.Dalam produksi kerupuk, proses penggorengan sering menghasilkan asap dan panas berlebih yang berdampak buruk pada kesehatan pekerja. Sulfur oksida, Nitrogen Dioksida, dan Karbon Monoksida merupakan senyawa berbahaya yang terkandung dalam asap dapur. Exhaust fan diperlukan untuk menghisap asap dan mengontrol suhu agar stabil. Namun, kontrol manual exhaust fan kurang efektif. Pengembangan sistem kendali otomatis seperti mikrokontroler, set point, PID, dan fuzzy telah dilakukan. Sistem kendali berbasis fuzzy dianggap terbaik untuk menentukan output sesuai kondisi lingkungan. Penelitian ini mengevaluasi perbedaan metode fuzzy Mamdani dan fuzzy Tsukamoto untuk mengontrol kipas exhaust. Pengujian dilakukan dengan 100 data dalam 5 kali percobaan untuk masing-masing metode. Penelitian ini membuktikan bahwa fuzzy logic metode Tsukamoto memiliki akurasi lebih baik sebesar 99,35% dibandingkan fuzzy Mamdani dengan akurasi sebesar 95,45%. Dengan demikian sistem kendali exhaust fan lebih efektif menggunakan metode fuzzy Tsukamoto
The IOT-Based Hydrogen Sulfide Monitoring at PT. Pertamina Geothermal Energy on Lumut Balai Area
No full textGeothermal Power Plants produce electricity energy from geothermal sources found in geothermal wells. Inside the geothermal well there is H2S content which is a toxic gas that can cause death to humans when human exposed the H2S content for 500-700 ppm within 30-60 minutes. Based on several literacies, in this research, H2S sensor type MQ-136 was used to monitoring H2S content in the geothermal environment. The Internet of Things system is used to read data parameters as a tool to display PPM values on the LCD of the transmitter and receiver device, as well as Adafruit IO website for reading parameter sensor data.. To transmit data from the transmitter to the receiver, Lora Ra-01 AI Thinker is used. The focus of this research is to be able to remotely monitor H2S content through the Adafruit IO website, the highest data was read is 0.54 ppm and the lowest at 0 ppm. This equipment will give "BHY" signal on the LCD display on the transmitter and from the Adafruit IO website it will send a notification "hazard of high ppm H2S" to mobile phones who installed IFTTT application if the H2S concentration was read for 10 ppm or higher, so that workers avoid being exposed to high concentrations of H2S when they want to monitor the parameters in the Geothermal well area.Pembangkit Listrik Tenaga Panas Bumi menghasilkan energi listrik yang bersumber dari panas bumi yang terdapat pada sumur geothermal. Di dalam sumur geothermal terdapat kandungan H2S yang merupakan gas beracun yang dapat menyebabkan kematian kepada manusia apabila terkena paparan konsentrasi H2S 500-700 ppm dalam waktu 30-60 menit. Berdasarkan beberapa literasi, pada penelitian ini digunakan sensor H2S type MQ-136 untuk memonitor kadar H2S yang ada di lingkungan Geothermal. Untuk parameter pembacaan data sensor MQ-136 digunakan sistem Internet of Things sebagai alat untuk menampilkan nilai PPM pada LCD di transmitter dan receiver, serta pada website Adafruit IO. Untuk Menyalurkan data dari transmitter ke receiver digunakan Lora Ra-01 AI Thinker. Fokus penelitian ini adalah dapat melakukan monitoring kandungan H2S di lokal dari jarak jauh melalui website Adafruit IO, untuk data tertinggi yang terbaca yaitu 0,54 ppm dan yang terendah di 0 ppm. Selain itu juga alat akan memberikan sinyal “BHY” pada tampilan LCD di transmitter serta dari website Adafruit IO akan mengirimkan notifikasi “bahaya ppm H2S tinggi” pada handphone yang telah teinstal aplikasi IFFT apabila konsentrasi H2S yang terbaca sebesar 10 ppm atau lebih, sehingga pekerja terhindar terpapar H2S dalam kadar yang tinggi ketika hendak memonitor parameter di area sumur Geothermal
Singme Music Entertainment Services Marketing Information System with Content-Based Filtering Method and TAM Testing
Full text linkWith the times, the website used as marketing and sales media, which developed into E-Commerce. In 2019, there was 16,277 businesses used the E-Commerce concept, and also the value of Gross Domestic Product (GDP) was about 5.07%. Furthermore, because of the Coronavirus Disease (COVID) pandemic, the GDP decreased to -2.07% In 2020 and even impacted 10 out of 17 business sectors. Music entertainment business was also impacted by the pandemic, because during the pandemic, the government restricted certain public activities. Therefore, this system named Singme will help singers or music groups to market their services and provide related information for the public. Searching the services in Singme will be assisted by using Content-Based Filtering (CBF) method, it will give the recommendations of the services which have correlations with the keywords. Using Technology Acceptance Model (TAM) to test 122 feedback data about Singme with SmartPLS application v3.2.9. As the results, all hypotheses are acceptable because each t-statistic value > t-table value (1.981), and also each p-value < 0.05. Which PEOU influences PU by 34.3%, PU and POEU influence ATU by 50.7%, PU and ATU influence BITU by 56.1%, and BITU influences ASU by 52.3%
Implementation of Random Forest Algorithm on Palm Oil Price Data
Full text linkOne of the potential commodities that are widely cultivated in Indonesia is palm oil, and palm oil or commonly referred to as palm oil is one of the processed products of palm oil which generates the most important foreign exchange for Indonesia. Data mining is a process that utilizes mathematical techniques, statistics, artificial intelligence, and machine learning techniques to extract and identify useful information and related knowledge from large databases [3], including palm oil price data. Random Forest is one of the methods in the decision tree. A decision tree is a flowchart shaped like a tree with a root node that is used to collect data that is used to solve problems and make decisions. In this study, a random forest algorithm was used to classify palm oil price data from 2014 to 2019. The classification method used the random forest algorithm on palm oil data using the Mtry parameter of 1 and the Ntree parameter of 500 resulting in an accuracy percentage of 100%. The most influential variable (importance variable) in the classification model using the resulting random forest algorithm is the palm oil variable
Identifikasi Kebangkrutan Perusahaan Menggunakan Algoritma Regresi Linear Berganda
No full textCorporate bankruptcy can hurt the company and affect the state of the economy. Therefore, many interested parties want to know the business situation related to the company. These parties include creditors, auditors, shareholders, and management itself who have an interest in knowing the state of the company in the context of bankruptcy. The past financial statements of a company can be used to predict future financial conditions using report analysis techniques. In the risk assessment process, expert knowledge is still seen as an important task, because expert predictions are subjective. This study aims to predict the bankruptcy of the company using influencing factors such as the level of research and development costs, the growth rate of total assets, and the current asset turnover rate. The method used in this research is the prediction method using the Linear Regression Algorithm. Based on the test results show that the variables or attributes used in this study have a significant effect, as evidenced by using a linear regression algorithm to be able to produce a Root Mean Squared Error value: 0.162 +/- 0.000.Kebangkrutan perusahaan dapat berdampak negatif bagi perusahaan dan mempengaruhi keadaan ekonomi. Oleh karena itu, banyak pihak yang berkepentingan ingin mengetahui situasi bisnis yang terkait dengan perusahaan. Pihak-pihak tersebut antara lain kreditur, auditor, pemegang saham dan manajemen itu sendiri yang berkepentingan untuk mengetahui keadaan perusahaan dalam rangka kepailitan. Laporan keuangan masa lalu suatu perusahaan dapat digunakan untuk meramalkan kondisi keuangan masa depan dengan menggunakan teknik analisis laporan. Dalam proses penilaian risiko, pengetahuan pakar masih dipandang sebagai tugas penting, karena prediksi pakar bersifat subjektif. Penelitian ini bertujuan untuk melakukan prediksi kebangkrutan perusahaan menggunakan faktor-faktor yang mempengaruhinya seperti tingkat biaya penelitian dan pengembangan, tingkat pertumbuhan aset total, dan tingkat perputaran aset saat ini. Metode yang digunakan dalam penelitian ini yaitu metode prediksi menggunakan Algoritma Regresi Linier. Berdasarkan hasil pengujian menunjukan bahwa variabel atau atribut yang digunakan penelitian ini berpengaruh signifikan, terbukti dengan menggunakan algoritma regresi linear mampu menghasilkan nilai Root Mean Squared Error: 0.162 +/- 0.000
Rancang bangun alat pendeteksi formalin pada kuah bakso berbasis arduino uno
No full textThe formalin detector is a device designed to assist in identifying the level of formaldehyde in food and beverages. Formalin is a chemical used as a preservative, but it can also be harmful to health if too much is consumed. In this design, we use the HCHO sensor as part of the formalin detection system.The HCHO sensor works by utilizing a chemical reaction between formalin and a catalyst to produce hydroxyl and carbon monoxide. This sensor is capable of detecting the concentration of HCHO and sending an electrical signal to the control module connected to the device. The control module will analyze the signal obtained from the sensor and display the results on the LCD screen located on the tool.This design offers an easy and efficient solution for detecting formaldehyde levels in food and beverages, so that people can ensure that the food and drinks they consume are safe from harmful chemicals
A Analysis of Data Center Information System Feasibility by using TELOS method (Case Study: Department of Information Systems UIN Suska Riau)
No full textThis research uses the TELOS approach to assess the risks and feasibility of developing current systems as part of the information systems study program. The examination begins with technical feasibility, followed by economic feasibility, legal feasibility, operational feasibility, and time-frame feasibility. Observational and interview-based methods for data collecting. The research's findings demonstrate that the development of the data centre information system is ELIGABLE
Analisis sentiment komentar Instagram bakal calon presiden menggunakan metode Support Vector Machine
No full textThe rising number of Instagram user affecting higher number of comments appear on post especially Instagram accounts of Indonesia's 2024 presidential candidates that made it difficult to understand the public sentiment towards presidential candidate. Therefore, this research aims to classify Indonesian sentiment on Instagram comments of 2024 Indonesian presidential candidates using the Support Vector Machine method. The classified sentiment is divided into three classes, namely positive, negative, and neutral. The results shows that Sentiment Analysis of Comments on Instagram Posts of Indonesia's 2024 Presidential Candidates Using The Support Vector Machine Method has a good accuracy value of 89.41%. This results also obtain recall and precision values of 89% and 87% respectively
Air Quality Monitoring System And Air Neutralizer In Hotel Rooms With Notification Via Telegram
Full text linkIndonesia is rich in natural beauty, and in various regions it presents many tourist objects that attract visitors from various regions and foreign countries. Hotels, as a form of public accommodation, are extremely beneficial to tourists who are traveling by providing lodging services in the form of hotel rooms. The article aims to design a carbon dioxide (CO2) gas detector because CO2 gas is included in air quality and uses the MQ 135 sensor to detect gas in order to provide comfort to hotel visitors. carbon dioxide (CO2), DC fans as air neutralizers in hotel rooms, and with notifications via telegram to find out the levels of carbon dioxide (CO2) gas in hotel rooms