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All Journal Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Augusta Jannatul Firdaus , Reza
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Computer Science & IT

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RANCANG BANGUN APLIKASI KOREKSI LEMBAR JAWABAN KOMPUTER MENGGUNAKAN METODE DETEKSI TEPI CANNY Putra , Bayu; Kadek Dwi Nuryana , I; Augusta Jannatul Firdaus , Reza
Inovate Vol 4 No 1 (2019): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v4i1.768

Abstract

Last Semester Evaluation is part of study result evaluation which use Computer Answer Sheet asthe place for student to write the answers. Computer Answer Sheet generally corrected by spesificscanner with the expensive price, so some school choose to correct the answer sheet manuallylike at Ar-Rahman Sumoyono Islamic Senior High School. To solve that problem, this researchis one of some solution which use the benefit of smartphone and digital image processingtechnology specially canny edge detection method. This prototype will combinate canny edgedetection method to find the edge of image and hough circle transformation to detect markedanswers. This prototype use the convertible canny parameter value by user, consider thebrightness value of every captured image is different. Result of detected answer with hough circletransformation will be tracked to determine the choosen answer. The choosen an swer by studentswill be saved in array, and will be matched with the answer keys which saved in SQLite database.The result of comparation between the result of detected answer with the real answer based on30 answer sheet samples is 91,41 %.Keywords: android, answer sheet, canny. .
Sistem Booking Jadwal Kursus Mengemudi Dengan Menggunakan Algoritma First Come First Serve (Studi Kasus Wiwit Kursus Mengemudi) Soleh , Rahmat; Sucipto , Hadi; Augusta Jannatul Firdaus , Reza
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.5085

Abstract

Schedule is the most important factor in supporting activities in various ways, especially in teaching and learning activities. In managing the driving course wiwit schedule it is done manually and recorded in a book based on an agreement between the admin and the students. This will cause problems if orders are made simultaneously there will be a conflict. The solution to these problems can be overcome by making a schedule booking system for driving courses. This research method uses the First Come First Serve algorithm to solve problems in the driving course schedule booking system. algorithm that has a characteristic which prioritizes processes that have been submitted in advance, namely those that arrive first will be served or processed first. The results of the research produce products in the form of web-based applications. The purpose of using this algorithm so that each processqueue executed fairly in the sense of sequentially without any priority. So that each process will run sequentially. From the results of this algorithm produces a sequence queue based on who has submitted first then it will get queue of front. Keywords : Booking System, Website, First Come First Serve.
SISTEM INFORMASI KONTROL KUALITAS AIR BUDIDAYA IKAN LELE DALAM EMBER OTOMATIS BERDASARKAN AMONIA DAN PH BERBASIS IOT MENGGUNAKAN METODE FUZZY MAMDANI Imamuddin , Muhammad; Mashuri , Chamdan; Augusta Jannatul Firdaus , Reza
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6193

Abstract

This research aims to develop an Automatic Water Quality Control Information System based on IoT for catfish farming in buckets, using the fuzzy Mamdani method to measure Ammonia and pH levels. The background of this study involves the Sido Mulyo Dukuhdimoro Community Group, which has experienced a decline in harvest yields due to water quality issues. The current handling of Ammonia is done manually and is ineffective, necessitating technology that can address this problem.One proposed solution is the use of an IoT system that utilizes Ammonia and pH sensors to monitor water conditions in real-time. The use of fuzzy Mamdani logic is also suggested to enhance the automatic control system for Ammonia and pH levels. Based on experiments and implementations by the researchers, it is concluded that the fuzzy Mamdani method successfully monitors and controls water quality in IoT-based catfish farming. In 9 instances of blackbox testing, 2 discrepancies were found in the information system's water quality degree due to sensor differences and reference data. However, the water quality control system based on Ammonia and pH performed well. Calibration tests for Ammonia and pH using the Mutual Acceptance of Data (MAD) formula resulted in a difference of 0.01428 for Ammonia sensors (6 tests with an Ammonia test kit) and 0.01666 for pH sensors (7 tests with a digital pH meter).The automatic control system successfully maintains Ammonia and pH levels within a safe range for catfish, which is 0-0.6 ppm for Ammonia and pH 6.5-8.5. (BBPBAT, 2005). Keywords: Ammonia, pH, Sido Mulyo Community Group, BUDIKDAMBER, Catfish, Fuzzy Mamdani Logic, Automatic Control System, IoT.
ANCANG BANGUN ALAT MONITORING DAN DETEKSI BANJIR SECARA REAL TIME BERBASIS NODEMCU ULTRASONIK HC SR04 MENGGUNAKAN APLIKASI BLYNK Muqtada , Riqza; Mufarrihah , ftitaahul; Augusta Jannatul Firdaus , Reza
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6199

Abstract

Flood disasters in villages often occur due to the rainy season and human errors such as throwing garbage in the river etc. Losses occur because residents are not prepared for disasters that will occur. This study uses the Internet of things (IoT) method, namely to connect devices to the internet network using a wifi network. From the research results DESIGN OF REAL TIME MONITORING AND FLOOD DETECTION TOOLS BASED ON NODEMCU ULTRASONIC HC SR04 USING THE BLNYK APPLICATION as follows: 2. When the sensor detects the water level, the buzzer will sound and the LED will light up at each water level. 3. Test results: • SAFE water level from 0-11 • STANDBY water level from 11-21 • DANGER water level from 21-25 4. After that we can see water level data through the Blynk application or on a laptop. From the results of the research and discussion that has been carried out to answer each topic of the problem, it can be concluded that the use of NodeMCU as hardware and the HC-SR04 ultrasonic sensor in combination with the Blynk application can provide a solution for monitoring and detecting floods in real-time. Keywords: River, Internet Of Things (IOT), Blynk, Ultrasonic Sensors.
DECISION TREE UNTUK PREDIKSI SISWA TERBAIK BERBASIS WEBSITE PADA MTs DARUL FALAH Hadijah Pili, Astuti; Heru Mujianto, Ahmad; Augusta Jannatul Firdaus , Reza; Ali , Mahrus
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8870

Abstract

MTs Darul Falah is an agency that predicts the best students manually and still uses Excel, so the system that has been created will make it easier for teachers to predict the best students. In determining/predicting the best students the author uses the Decision Tree method. Decision Tree One of the classification algorithms that is commonly used to obtain non-binary classification results where the results will form the root of a decision tree. Therefore, the importance of the best student prediction system in making a decision. The aim of the research is to make it easier for schools to determine the best students who can be sent to take part in the Olympics. In this research, testing was carried out using Black Boks Testing. The results of this research are in the form of a website-based best student prediction system with data from 25 students who were predicted to be the best students. Overall it can be concluded that in testing the application the best student predictions were received according to what was needed. Keywords: Predictions, Decision Trees, Thesis Topics
Co-Authors Ali , Mahrus Hadijah Pili, Astuti Imamuddin , Muhammad Kadek Dwi Nuryana , I Mashuri , Chamdan Mufarrihah , ftitaahul Mujianto, Ahmad Heru Muqtada , Riqza Putra , Bayu Soleh , Rahmat Sucipto , Hadi