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DETEKSI LAHAR MENGGUNAKAN KOMBINASI SENSOR KEDALAMAN DAN SENSOR TEKANAN MEMANFAATKAN JARINGAN SENSOR NIRKABEL PLATFORM IQRF Agung Priyanto
Jurnal Teknomatika Vol 7 No 1 (2014): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

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Abstract

Alat pemantau lahar idealnya dipasang di daerah terpencil yang jauh dari pemukiman mendekati sumber aliran. Hal ini dimaksudkan agar penduduk di sekitar aliran memiliki cukup waktu untuk menyingkir jika akan terjadi banjir lahar. Masalah yang muncul, di daerah terpencil tidak ada infrastruktur sumber daya listrik untuk memberi daya alat pemantau dan infrastruktur komunikasi dari alat pemantau ke pusat pemantauan yang jauh letaknya. Jaringan sensor nirkabel atau wireless sensor network (WSN) yang autonomous, real time, kompak dan hemat energi merupakan pilihan yang tepat untuk pemantauan di daerah terpencil seperti halnya pada pemantauan lahar dingin. Dengan pemilihan topologi yang sesuai dan ujung depan sensor yang tepat dan akurat dapat mendukung dibangunnya sistem peringatan dini banjir lahar dingin yang murah namun handal. Kombinasi sensor kedalaman aliran dan sensor tekanan fluida digunakan mendeteksi material alir yang dapat berupa air atau lahar. Percobaan dilakukan untuk memperoleh data kedalaman aliran dan tekanan fluida sehingga menghasilkan dua persamaan regresi untuk dua material alir tersebut, dengan harapan dapat digunakan untuk memberikan informasi material alir suatu sungai yang berhulu di gunung berapi.
PEMANFAATAN JARINGAN SENSOR NIRKABEL UNTUK MEMANTAU KELEMBABAN TANAH PADA BUDIDAYA TANAMAN CABAI Agung Priyanto
Jurnal Teknomatika Vol 8 No 1 (2015): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

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Abstract

Lahan pertanian biasanya terpisah dengan pemukiman. Untuk memantau kelembaban tanah perlu mendatangi lokasi dan melakukan pengamatan atau pengujian secara langsung. Pengujian ini diperlukan agar ditindaklanjuti jika terjadi ketidaksesuaian kelembaban tanah dengan jenis tanaman yang sedang ditanam, untuk mendukung produktivitas. Jaringan sensor nirkabel atau wireless sensor network (WSN), bagian fundamental dari pervasive computing, merupakan solusi yang tepat untuk pemantauan jarak jauh kelembaban tanah ini, karena sifatnya yang autonomous, real time, kompak dan hemat energi. Menggunakan ujung depan sensor kelembaban dapat dirakit perangkat yang diinginkan. Hasil deteksi berupa status high, normal, low, untuk mewakili keadaan tanah dengan kondisi kelembaban tinggi, normal, atau rendah.
SISTEM ALARM TERPUSAT MEMANFAATKAN JARINGAN SENSOR NIRKABEL Agung Priyanto
Jurnal Teknomatika Vol 9 No 1 (2016): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

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Abstract

Sistem alarm perumahan yang umum biasanya mandiri, dirancang agar penghuni mengetahui jika terjadi sesuatu yang tidak beres dengan rumah tempat tinggal mereka. Misalnya, ketika terjadi pembukaan secara paksa pintu atau jendela, indikasi kebakaran, atau akses masuk area perumahan tanpa ijin. Sistem alarm mandiri seperti ini kebanyakan mengandalkan kewaspadaan penghuni rumah saja. Penghuni perumahan yang lain atau petugas keamanan mungkin saja tidak dapat memantau tanda bahaya ini jika letak rumah jauh dari jangkauan pandangan dan pendengaran. Terlebih, jika perumahan tersebut menempati area yang luas. Sistem alarm terpusat memberikan kemudahan pemantauan bagi petugas keamanan. Jaringan sensor nirkabel dapat dimanfaatkan untuk mewujudkan sistem alarm terpusat. Pengumpul data dan penampil berupa komputer pribadi dapat ditempatkan di suatu pos penjagaan yang biasanya terletak di bagian depan atau dekat dengan gerbang masuk area perumahan. Tanda bahaya dapat diwujudkan dengan alert atau peringatan yang muncul di monitor komputer, disertai bunyi-bunyian.
PURWARUPA ALAT PENDETEKSI OTOMATIS KETINGGIAN AIR UNTUK MENGATUR BUKA TUTUP PINTU AIR BERBASIS ARDUINO M Roykhul Jinan; Agung Priyanto; Andika Bayu Saputra; Alfun Roehatul Jannah
Jurnal Teknomatika Vol 15 No 2 (2022): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v15i2.1102

Abstract

With the increasing population and the reduction of water catchment areas due to numerous development projects that disregard green open spaces, coupled with a lack of public awareness regarding the importance of water flow, many individuals continue to consciously dispose of garbage into rivers, including river areas, dams, and reservoirs. This behavior leads to river blockages, resulting in flooding in those areas and other low-lying regions. The traditional method of monitoring water levels heavily relies on human operators, which can introduce errors when interpreting water indicators. To address these challenges, this research adopts a design-oriented methodology to develop an automated system for real-time maintenance and monitoring of water levels. The study begins with a comprehensive analysis of the existing issues and the underlying processes involved. Subsequently, the research focuses on designing and implementing a prototype system using appropriate materials, system development tools, and methodologies. The proposed system consists of a water level detection device integrated with a servo-controlled dam opener. Experimental tests demonstrate the device's effectiveness in accurately detecting changes in water levels, with an average accuracy of 10 cm from the sensor point. Additionally, the servo-controlled dam opener plays a significant role in regulating water flow within the system. The proposed system aims to facilitate efficient monitoring and decision-making processes, thereby reducing the occurrence of human errors in determining water levels.
RANCANGAN BANGUN PROTOTYPE ALAT PENGERING KERUPUK OTOMATIS BERBASIS ARDUINO UNO Syaifullah; Agung Priyanto; Ari Cahyono; Alfun Roehatul Jannah
Jurnal Teknomatika Vol 13 No 1 (2020): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v13i1.1106

Abstract

Along with the increasing times and the more busyness of humans, drying problems often become a very troublesome problem because it is still conventional by using direct sunlight. For example, when the crackers are drying, rain falls when the workers are doing other work. Of course the workers will feel anxious if the crackers that have been dried in the sun are wet with rain and have to be redried, so this research proposes to help the workers drying the crackers. This research will discuss the workings of the rain sensor, LDR (Light Dependent Resistor) sensor and heat / temperature sensor for drying crackers with the Arduino Uno system. This study aims to make a prototype cracker drying device that can automatically open or close the protective tarp for the cracker drying rack when it rains or the sun's light intensity has darkened using the Arduino Uno microcontroller. The design of this application uses the method prototype and uses the DELPHI programming language by utilizing the Arduino IDE and using the Microsoft Access database. The results of this study were obtained in the form of an automatic cracker drying tool application that can detect weather conditions during drying well. This tool will help the drying process from the beginning of drying until the crackers are completely dry and ready to be marketed.
Analisis Sentimen Kepuasan Pelanggan Perusahaan Telekomunikasi Seluler Telkomsel di Twitter Melia Haerunnissa; Agung Priyanto; Choerun Asnawi; Nafisa Alfi Sa'diya
Jurnal Teknomatika Vol 15 No 2 (2022): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v15i2.1117

Abstract

Telkomsel, the largest operator in Indonesia with the most users, collects a significant amount of tweet data on Twitter, containing both positive and negative feedback about their internet service. Analyzing this data can provide valuable insights and accurate information about Telkomsel's internet services based on user tweets, retweets, and comments. The aim is to build a sentiment analysis model to extract relevant information from Telkomsel users' tweets on Twitter, serving as feedback for service evaluation and an educational tool for users. The sentiment analysis process involves data retrieval, preprocessing, training, testing, classification, and visualization using Python programming with the Flask framework. Analysis of customer satisfaction sentiment reveals that Telkomsel has a negative sentiment, with an accuracy of 81.7% for training data and 84% for testing data. The sentiment analysis model was built using the Naive Bayes Classification method.
Rancang Bangun Sistem Parkir Menggunakan Kartu Barcode di Pasar Setono Betek Kediri Wenesdy Fajar Ega Roosdwita; Agung Priyanto; Ari Cahyono; Nurul Fatimah
Jurnal Teknomatika Vol 13 No 1 (2020): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v13i1.1123

Abstract

Along with the development of technology and information, human needs are increasing. Especially now that the parking system has experienced rapid development with a level of security for vehicles. One of the important things is the parking problem, the parking problem where the parking lot is large enough but still not supported by an adequate system. The use of a manual parking system has now begun to shift now with an automatic parking system that is integrated with the database as part of the parking system. Barcode card is a code in the form of a line of black or rectangular lines. Each line of the rectangle has a different width. So in this study the barcode card is used as an ID for parking users or parking customers who replace the manual parking system. The parking system data collection starts with Barcode Card user parking which is invincible with the parking user database via Barcode Scan. In a parking system using a Barcode Card, parking users can see the hours of entry and exit of parking congestion. by simply scanning or pasting the Barcode Card on the HC-SR04 sensor. This parking system will work based on existing data on the RFID tag and RFID reader. The data from the RFID tag will read the RFID reader and be processed in the Raspberry pi and servo motor to open and close the bar, then the buzzer will sound after which the ultrasonic sensor closes and opens the bar when the motor passes the sensor. With the parking system using this Barcode Card can provide security, comfort in the parking area is more guaranteed, and the parking area is managed in an orderly manner.
Implementasi Penggunaan Algoritma Weighted Product untuk Sistem Pendukung Keputusan Bantuan Lansia Ferlinda Yuyung Kusumaningrum; Andika Bayu Saputra; Agung Priyanto; Nurul Fatimah
Jurnal Teknomatika Vol 16 No 2 (2023): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v16i2.1249

Abstract

Lansia merupakan suatu siklus hidup yang pasti dialami oleh manusia dan hampir setiap orang. Terdapat permasalahan yang dihadapi oleh lansia dari menurunnya kondisi fisik sampai tidak dapat bekerja, Pemerintah mengeluarkan program untuk mendukung lansia. Bantuan lansia yang dapat diterima setiap tiga bulan atau sesuai informasi dari pemerintah. Namun saat ini program yang ada masih belum efektif karena terdapat kendala seperti belum ada sebuah sistem yang dapat menginputkan data, sehingga pendataan bantuan lansia masih secara manual menggunakan pencatatan di buku yang dapat menghambat waktu pendataan dan perhitungan data. Penelitian ini bertujuan untuk membangun sebuah sistem pendukung keputusan dalam menentukan penerima bantuan lansia guna membantu dalam proses pengambilan keputusan. Algoritma weighted product yang merupakan suatu algoritma yang sering digunakan untuk menganalisa sebuah keputusan. Hasil penelitian ini berupa sebuah Implementasi Penggunaan Algoritma Weighted Product untuk Sistem Pendukung Keputusan Penerima Bantuan Lansia. Sistem diharapkan membantu dalam menentukan keputusan dari barbagai pilihan yang mempertimbangkan beberapa macam kriteria dan dapat diterapkan untuk membantu menyelesaikan permasalahan mengidentifikasi penerima bantuan lansia secara cepat, tepat dan efektif.
Analisis Prediksi Penjualan Wedang Uwuh Instan dengan Simulasi Algoritma Monte Carlo Titik Rahmawati; Eka Yulia Sari; Agung Priyanto; V. Reza Bayu Kurniawan; Diyan Dewana Jaya
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.v8i1.3705

Abstract

Traditional herbal drinks such as Wedang Uwuh which is a typical Yogyakarta regional drink made from various natural spices it has various benefits. Wedang Uwuh instant ​​is an innovative product from a traditional drink that is packaged in a modern way. Instant Wedang Uwuh is a product of creativity from Industrial Engineering students at the Faculty of Engineering, Universitas Sarjanawiyata Tamansiswa, which is managed by lecturers and students. The manager of instant Wedang Uwuh, PT Sruput Jaya, is experiencing difficulties in stock management and estimating the amount of production required each month. The uncertain demand for instant Wedang Uwuh is an obstacle in determining the production quantity of Instant Wedang Uwuh. Currently, sellers can only see the increase in sales manually. This research aims to predict the level of production or sales of Instant Wedang Uwuh using the Monte Carlo simulation algorithm precisely and accurately. The results of Monte Carlo simulation testing for 12 months reached a prediction accuracy level of 96.40%. The tests carried out will become a reference for preparing instant Wedang Uwuh production for the next 12 months. Obtaining an accuracy rate of 96.40% in this Monte Carlo simulation can be recommended for determining the amount of Wedang Uwuh production in the first 12 months of the following year.