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Peningkatan Kewaspadaan Warga Terhadap Banjir Melalui Penerapan Alat Pemantau Ketinggian Air di Aliran Sungai Kalijompo Kabupaten Jember Ali Rizal Chaidir; Satryo Budi Utomo; Gusfan Halik; Gamma Aditya Rahardi Rahardi; Kurniawan Hidayat
Vivabio: Jurnal Pengabdian Multidisiplin Vol. 5 No. 2 (2023): VIVABIO:Jurnal Pengabdian Multidisiplin
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/vivabio.v5i2.46349

Abstract

Flooding is a natural phenomenon that occurs as a result of high rainfall resulting in excess water that is not accommodated by the system. In general, the impact of floods can be detrimental to the community, especially people who live on the outskirts of the river. Jember Regency is one of the regencies that has many rivers that have the potential to not be able to accommodate water in the rainy season, resulting in flooding, one of which is the Kalijompo River, which floods almost every year. The impact of flooding can be minimized with good development and an early warning system for residents. Technology is one way to make human work easier, one of which is to monitor a situation. The application of river flow monitoring technology can reduce the detrimental impact of flooding. This technology provides information to residents about water levels. The technology applied has sensors that can monitor the height of the river flow, the height of the river flow consists of four levels, namely normal to dangerous which is marked by an alarm sound, so that when a flood occurs at night residents can get up immediately to save themselves, then the detrimental impact of flooding can be reduced.
Robot Beroda Pendeteksi Gas Karbon Monoksida dan Metana Berbasis IoT Menggunakan Metode Finite State Machine dan Fuzzy Logic Wira Adi Winata; Khairul Anam; Ali Rizal Chaidir
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1128.798 KB) | DOI: 10.17529/jre.v18i1.24485

Abstract

Occupational Safety and Health (K3) is an important requirement needed in mining. This is because activities in mining have great risks and are associated with unpredictable natural conditions. One of them is the leakage of hazardous gas at the mine site caused by mining activities. This article proposes a wheeled robot to detect carbon monoxide gas and methane gas based on the Internet of Things (IoT) using Finite State Machine (FSM) and Fuzzy Logic. The finite state machine (FSM) in this study is used as a control of the robot’s movement, while fuzzy logic is used as a safety classification of the readable state of dangerous gases. The results showed that the system was capable of detecting gas and the information is successfully sent to a web server. In addition, the use of lidar can detect obstacles around the robot.  
Pengenalan Gestur Jari Menggunakan Pengolahan Citra untuk Mengendalikan Joint pada Base Robot Lengan Ali Rizal Chaidir; Wahyu Muldayani; Guido Dias Kalandro
Jurnal Rekayasa Elektrika Vol 14, No 3 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1018.771 KB) | DOI: 10.17529/jre.v14i3.11831

Abstract

The Robot is a technology that can help human to do daily activities. One type of robot is an arm robot, arm robot can work automatically, manually, and a combination of both. Some techniques that can be used to give commands to the robot are to use hand and finger gestures, to do the techniques can utilize the vision machine. One of the advantages of using a vision machine is that it does not require many electronic components to recognize hand and finger gestures. The focus of this research is to implement a camera to recognize the operator’s finger gestures so that the gesture can give commands to the robot. The camera captures the image of operator's finger, the image is a process inside the computer to obtain the pixel coordinate parameters of the index fingertip and right lower pixel of the image, and then the angle obtained from both coordinates using trigonometric equations. The result is that the robot can follow the movement of the finger when the angle between 30° to 150°.
Penerapan Logika Fuzzy sebagai Alat Deteksi Hipotermia dan Hipertermia Pada Manusia Berbasis Internet Of Thing (Iot) Widya Cahyadi; Ali Rizal Chaidir; Muchammad Farhan Anda
Jurnal Rekayasa Elektrika Vol 17, No 2 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (692.741 KB) | DOI: 10.17529/jre.v17i2.15670

Abstract

Health is an important thing for human life. One way to determine a person’s health can be done by examining vital signs (TTV) to find out clinical signs by measuring the most basic body functions. TTV examination is also useful in determining the appropriate medical planning and can be used to strengthen the diagnosis of a disease. Most of the illness or even death related to environmental exposure temperature can be prevented, but often the victim’s decision is wrong, or the patient’s reporting is delayed. Although a person in good health may experience varying degrees of exposure to heat or cold at different times, a person will be relatively at risk for illness and death in extreme environmental temperatures. One solution to overcome this problem is the use of Internet of Thing (IoT)-based hypothermia and hyperthermia detection tools that can detect disease early so that prevention can be done before it becomes more dangerous. The features of this tool are the measurement of body temperature, heart rate, and the detection of hypothermia or hyperthermia.  This study, testing the application of fuzzy logic as a hypothermia and hyperthermia detection tool based on IoT-based body temperature and heart rate. The results of system testing with 10 subjects from instrumentation tools showed the same results as the medical officer’s statement with a 100% success rate.  
Sistem Pendeteksi Dini Kebakaran Hutan Berbasis Logika Fuzzy dengan Integrasi Telegram I’zaaz Irfanianingrum; Ali Rizal Chaidir; Sumardi Sumardi; Gamma Aditya Rahardi; Dedy Wahyu Herdiyanto
Emitor: Jurnal Teknik Elektro Vol 23, No 2: September 2023
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v22i2.22019

Abstract

Hutan merupakan sumber daya alam yang tidak terbatas dan mempunyai manfaat yang sangat besar terhadap kehidupan makhluk hidup, namun keberadaan hutan saat ini sangat memprihatinkan akibat laju deforestasi dan degradasi yang sangat tinggi. Salah satu penyebab utama gangguan hutan adalah kebekaran. Kebakaran hutan akan menyebabkan kerugian lingkungan dan kerugian ekonomi. Oleh karena itu untuk mengurangi kerugian yang disebebkan oleh kebakaran hutan diperlukan penanganan yang cepat untuk menghindari meluasnya kebakaran hutan. Permasalahan dalam penanganan kebakaran hutan adalah lambatnya pemberitahuan mengenai informasi terjadinya kebakaran. Keadaan tersebut dikarenakan tidak adanya jaringan atau sinyal internet di kawasan hutan, serta indikator dan notifikasi kepada penjaga hutan. Sehingga dirancang sebuah alat pendeteksi dini kebakaran hutan untuk mempercepat proses tanggap bencana kebakaran hutan dengan mendeteksi level bahaya kebakaran menggunakan logika fuzzy, menyalakan LED dan bunyi buzzer pada indikator alat serta mengirimkan notifikasi via aplikasi bot telegram. Hasil dari alat ini sesuai dengan rancangan dan rule base yang telah dibuat yaitu pada kondisi aman didapat hasil nilai defuzzyfikasi sebesar 0-20. Kondisi siaga 1 didapat hasil nilai defuzzyfikasi sebesar 20-40. Kondisi siaga 2 didapat hasil nilai defuzzyfikasi sebesar 40-60. Kondisi waspada didapat hasil nilai defuzzyfikasi sebesar 60-80. Kondisi awas didapat hasil nilai defuzzyfikasi sebesar 80-100. Serta mampu memberikan indikator pada alat dan mengirimkan notifikasi via aplikasi bot telegram yang sesuai dengan level bahaya yang terdeteksi ke penjaga hutan.
E-FARGO: SOLUSI REVOLUSIONER MAHASISWA UNIVERSITAS JEMBER DALAM BUDIDAYA GURAME BERBASIS IOT DI DESA TEGALWANGI, JEMBER Regita Gustiayu Pramisti Maharani; Risa Dwi Irwani; Gusti Ayu Lunia Kandiva Hughy Desta; Orlando Gani Sahroni; Moch. Rijal Fatoni; Risa Dwi Rachmawati; Nurus Shafirah Qolbi; Randu Agung Prasetyo; Putri Eka Yulianda; Muhammad Shonhaji; Ali Rizal Chaidir
KARYA: Jurnal Pengabdian Kepada Masyarakat Vol 3 No 3 (2023): KARYA: Jurnal Pengabdian Kepada Masyarakat
Publisher : FKIP Universitas Samawa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Desa Tegalwangi Kecamatan Umbulsari Kabupaten Jember merupakan salah satu desa yang memiliki keunggulan dalam bidang budidaya perikanan khususnya ikan gurami. Namun dalam budidaya ikan gurami, para pembudidaya masih menggunakan cara konvensional dan juga terdapat permasalahan seperti kualitas air yang berubah-ubah pada kolam budidaya. Dari permasalahan tersebut, didapatkan solusi yaitu dengan membuat inovasi baru berupa alat monitoring kualitas air dan dilengkapi dengan pelontar pakan ikan otomatis (fish feeder) yang terkoneksi dengan mobile apps bernama “e-Fargo”. Sasaran dari kegiatan Program Mahasiswa Berdesa ini adalah Kelompok Pembudidaya Ikan yakni Mina Tegal Jaya Makmur di Desa Tegalwangi. Metode pelaksanaan kegiatan terdiri dari perancangan alat, pembuatan mobile apps, perancangan sistem monitoring, sosialisasi dan demonstrasi alat. Hasil dari kegiatan ini yaitu berupa sebuah alat monitoring kualitas air dilengkapi dengan fish feeder dan terkoneksi dengan e-Fargo mobile apps. Selain itu, memberikan inovasi baru kepada pembudidaya ikan gurami mengenai pengembangan teknologi di bidang perikanan.
Penerapan Logika Fuzzy sebagai Alat Deteksi Hipotermia dan Hipertermia Pada Manusia Berbasis Internet Of Thing (Iot) Widya Cahyadi; Ali Rizal Chaidir; Muchammad Farhan Anda
Jurnal Rekayasa Elektrika Vol 17, No 2 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v17i2.15670

Abstract

Health is an important thing for human life. One way to determine a person’s health can be done by examining vital signs (TTV) to find out clinical signs by measuring the most basic body functions. TTV examination is also useful in determining the appropriate medical planning and can be used to strengthen the diagnosis of a disease. Most of the illness or even death related to environmental exposure temperature can be prevented, but often the victim’s decision is wrong, or the patient’s reporting is delayed. Although a person in good health may experience varying degrees of exposure to heat or cold at different times, a person will be relatively at risk for illness and death in extreme environmental temperatures. One solution to overcome this problem is the use of Internet of Thing (IoT)-based hypothermia and hyperthermia detection tools that can detect disease early so that prevention can be done before it becomes more dangerous. The features of this tool are the measurement of body temperature, heart rate, and the detection of hypothermia or hyperthermia.  This study, testing the application of fuzzy logic as a hypothermia and hyperthermia detection tool based on IoT-based body temperature and heart rate. The results of system testing with 10 subjects from instrumentation tools showed the same results as the medical officer’s statement with a 100% success rate.  
Robot Beroda Pendeteksi Gas Karbon Monoksida dan Metana Berbasis IoT Menggunakan Metode Finite State Machine dan Fuzzy Logic Wira Adi Winata; Khairul Anam; Ali Rizal Chaidir
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v18i1.24485

Abstract

Occupational Safety and Health (K3) is an important requirement needed in mining. This is because activities in mining have great risks and are associated with unpredictable natural conditions. One of them is the leakage of hazardous gas at the mine site caused by mining activities. This article proposes a wheeled robot to detect carbon monoxide gas and methane gas based on the Internet of Things (IoT) using Finite State Machine (FSM) and Fuzzy Logic. The finite state machine (FSM) in this study is used as a control of the robot’s movement, while fuzzy logic is used as a safety classification of the readable state of dangerous gases. The results showed that the system was capable of detecting gas and the information is successfully sent to a web server. In addition, the use of lidar can detect obstacles around the robot.  
Pengenalan Gestur Jari Menggunakan Pengolahan Citra untuk Mengendalikan Joint pada Base Robot Lengan Ali Rizal Chaidir; Wahyu Muldayani; Guido Dias Kalandro
Jurnal Rekayasa Elektrika Vol 14, No 3 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v14i3.11831

Abstract

The Robot is a technology that can help human to do daily activities. One type of robot is an arm robot, arm robot can work automatically, manually, and a combination of both. Some techniques that can be used to give commands to the robot are to use hand and finger gestures, to do the techniques can utilize the vision machine. One of the advantages of using a vision machine is that it does not require many electronic components to recognize hand and finger gestures. The focus of this research is to implement a camera to recognize the operator’s finger gestures so that the gesture can give commands to the robot. The camera captures the image of operator's finger, the image is a process inside the computer to obtain the pixel coordinate parameters of the index fingertip and right lower pixel of the image, and then the angle obtained from both coordinates using trigonometric equations. The result is that the robot can follow the movement of the finger when the angle between 30° to 150°.
Pengendali Wireless Mobile Robot Arm (WMRA) Berdasarkan Gestur Lengan Menggunakan Sensor Accelerometer dan Logika Fuzzy Widya Cahyadi; Ali Rizal Chaidir; Azmy Akhyar Al Insani; Khairul Anam; Andrita Ceriana Eska
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 13, No 2 (2023): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.77125

Abstract

Telerobotik adalah sistem pengendali robot dalam jarak jauh yang membutuhkan campur tangan manusia sebagai operator (Human-in-the-Loop). Pada penelitian sebelumnya, mobile robot manipulator dikendalikan berdasarkan gestur jari operator melalui image processing menggunakan metode template matching dengan komunikasi melalui kabel. Sehingga pada penelitian selanjutnya, dibuat sistem kendali robot berdasarkan gestur lengan menggunakan sensor accelerometer dan logika fuzzy dengan komunikasi nirkabel melalui jaringan internet. Robot yang dikendalikan terdiri dari robot arm 2 dof dan robot non-holonomic dengan 4 roda. Sistem kendali robot terdiri dari 2 sensor accelerometer yang terpasang pada lengan operator. Juga terdapat sensor hall-effect sebagai kendali gerak gripper. Metode fuzzy sugeno diterapkan pada sistem kendali gerak mobile robot agar didapatkan respon robot yang dapat bergerak secara bebas berdasarkan gestur lengan operator. Berdasarkan analisa dan data pengujian didapatkan hasil bahwa robot dapat dikendalikan dengan cukup baik.