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MACHINE VISION AND GLOBAL POSITIONING SYSTEM FOR AUTONOMOUS ROBOTIC NAVIGATION IN AGRICULTURE: A REVIEW Rahmadian, Reza; Widyartono, Mahendra
JIEET (Journal of Information Engineering and Educational Technology) Vol 1, No 1 (2017)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jieet.v1n1.p46-54

Abstract

Interest on robotic agriculture system has led to the development of agricultural robots that helps to improve the farming operation and increase the agriculture productivity. Much research has been conducted to increase the capability of the robot to assist agricultural operation, which leads to development of autonomous robot. This development provides a means of reducing agriculture?s dependency on operators, workers, also reducing the inaccuracy caused by human errors. There are two important development components for autonomous navigation. The first component is Machine vision for guiding through the crops and the second component is GPS technology to guide the robot through the agricultural fields.
Learning Strategy to Develop Critical Thinking, Creativity, and Problem-Solving Skills for Vocational School Students Samani, Muchlas; Sunwinarti, Sunwinarti; Putra, Bima A.W.; Rahmadian, Reza; Rohman, Juni Noor
Jurnal Pendidikan Teknologi dan Kejuruan Vol 25, No 1 (2019): (May)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.325 KB) | DOI: 10.21831/jptk.v25i1.22574

Abstract

Critical thinking, creativity, and problem-solving skills are critical for vocational schools graduates to enter the workforce in the industrial era 4.0. This study aims to find a learning strategy that can develop these three skills. The study was carried out at SMK X Mojokerto in the Automotive Technology Program in the academic year of 2017/2018. Data were collected using an observation sheet validated by three experts and tested with inter-rater reliability. The data analysis method is t-test. The results of data analysis showed that the Contextual Project Based Learning (CPjBL) was generally effective to improve critical thinking, creativity, and problem-solving skills. Detailed observation included each of these aspects. The findings showed that the implementation of contextualized learning problems could improve the aspect of originality and problem understanding skills, which was usually difficult to improve. On the other hand, CPjBL was not effective in developing the ability of analysis in critical thinking and look-back in problem-solving skills.
PENERAPAN MACHINE VISION UNTUK SISTEM PANEN OTOMATIS DI ROBOT AGRIKULTUR Rahmadian, Reza; Widyartono, Mahendra
JIEET (Journal of Information Engineering and Educational Technology) Vol 4, No 1 (2020)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jieet.v4n1.p47-52

Abstract

Peningkatan hasil dari sector agrikultur adalah salah satu hasil keuntungan dari berkembangnya penelitian tentang sistem robot di agrikultur. Penelitian-penelitian tersebut berguna untuk meningkatkan kapabilitas robot tersebut untuk semakin efektif dalam membantu di sektor agrikulutur, yang salah satu kapabilitasnya adalah otomatisasi. Dengan adanya otomasi dalam robot agrikultur maka kefektifitasan dalam membantu sektor ini juga bertambah, juga mengurangi kurangnya akurasi atau kesalahan yang di hasilkan jika menggunakan pekerja manual. Salah satu komponen penting dalam perkembangan robot agrikultur adalah sistem panen otomatis yang menerapkan teknologi Machine Vision sebagai inti dari sistem tersebut.
Harvesting System for Autonomous Robotic in Agriculture: A Review. rahmadian, Reza; Widyartono, Mahendra
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol 2, No 1 (2019)
Publisher : Jurusan Teknik Elektro Fakultas Teknik UNESA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v2n1.p1-6

Abstract

Technology in the modern day has led to the development of agricultural robots that helps to increase the agriculture productivity. Numerous research has been conducted to help increasing the capability of the robot in assisting agricultural operation, which leads to development of autonomous robot. The development aim is to help reducing agriculture’s dependency on operators, workers, also reducing the inaccuracy caused by human errors. There are two important development components for autonomous harvesting. The first component is Machine vision for detecting the crops and guiding the robot through the field and the second component actuator to grab or picking the crops or fruits.
POTENSI OTEC DI PROVINSI PAPUA INDONESIA Widyartono, Mahendra; Rahmadian, Reza
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol 2, No 1 (2019)
Publisher : Jurusan Teknik Elektro Fakultas Teknik UNESA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v2n1.p17-21

Abstract

Abstrak –Provinsi Papua merupakan salah satu provinsi terkaya di Indonesia dengan luas wilayahnya tiga kali lebih luas wilayah Pulau Jawa, namun kekayaan alam yang begitu besar belum dapat diolah karena belum adanya jaringan jalan yang memadai untuk menghubungkan wilayah-wilayah sentra produksi sehingga masih banyak wilayah-wilayah di Papua yang masi terisolasi dan kurang berkembang. Sama halnya dengan kondisi kelistrikan di Provinsi Papua, berdasarkan Statistik Ketenagalistrikan Tahun 2018 diketahui bahwa rasio elektrifikasi di Provinsi Papua sebesar 61,42 % yang merupakan terendah kedua dari rasio elektrifikasi seluruh Indonesia. Permasalahan di atas hanya mungkin dapat diatasi dengan melakukan diversifikasi sumber energi baik menyangkut jenis maupun jumlahnya melalui pemanfaatan berbagai sumber energi alternative khususnya sumber energi terbarukan (renewable energy). Karena sistem OTEC dipasang di daerah pantai atau lepas pantai maka potensi OTEC di Provinsi Papua terdapat di daerah-daerah di sepanjang perairan Provinsi Papua yang memiliki kedalaman laut ± 1000 m. Efisiensi maksimum sistem OTEC di perairan Nabire sebesar 0,76 sedangkan di perairan Biak, Bonggo, dan Jayapura mempunyai efisiensi maksimum yang hampir sama yaitu 0,84.Kata Kunci: OTEC, konversi energi.                            
Machine Vision and Global Positioning System for Autonomous Robotic Navigation in Agriculture: A Review Rahmadian, Reza; Widyartono, Mahendra
JIEET (Journal of Information Engineering and Educational Technology) Vol 1, No 1 (2017)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jieet.v1n1.p46-54

Abstract

Interest on robotic agriculture system has led to the development of agricultural robots that helps to improve the farming operation and increase the agriculture productivity. Much research has been conducted to increase the capability of the robot to assist agricultural operation, which leads to development of autonomous robot. This development provides a means of reducing agriculture’s dependency on operators, workers, also reducing the inaccuracy caused by human errors. There are two important development components for autonomous navigation. The first component is Machine vision for guiding through the crops and the second component is GPS technology to guide the robot through the agricultural fields.
Penerapan Machine Vision untuk Sistem Panen Otomatis di Robot Agrikultur Rahmadian, Reza; Widyartono, Mahendra
JIEET (Journal of Information Engineering and Educational Technology) Vol 4, No 1 (2020)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jieet.v4n1.p47-52

Abstract

Peningkatan hasil dari sector agrikultur adalah salah satu hasil keuntungan dari berkembangnya penelitian tentang sistem robot di agrikultur. Penelitian-penelitian tersebut berguna untuk meningkatkan kapabilitas robot tersebut untuk semakin efektif dalam membantu di sektor agrikulutur, yang salah satu kapabilitasnya adalah otomatisasi. Dengan adanya otomasi dalam robot agrikultur maka kefektifitasan dalam membantu sektor ini juga bertambah, juga mengurangi kurangnya akurasi atau kesalahan yang di hasilkan jika menggunakan pekerja manual. Salah satu komponen penting dalam perkembangan robot agrikultur adalah sistem panen otomatis yang menerapkan teknologi Machine Vision sebagai inti dari sistem tersebut.
POTENSI OTEC DI PROVINSI PAPUA INDONESIA Widyartono, Mahendra; Rahmadian, Reza
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol 2, No 1 (2019)
Publisher : Jurusan Teknik Elektro Fakultas Teknik UNESA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v2n1.p17-21

Abstract

Abstrak –Provinsi Papua merupakan salah satu provinsi terkaya di Indonesia dengan luas wilayahnya tiga kali lebih luas wilayah Pulau Jawa, namun kekayaan alam yang begitu besar belum dapat diolah karena belum adanya jaringan jalan yang memadai untuk menghubungkan wilayah-wilayah sentra produksi sehingga masih banyak wilayah-wilayah di Papua yang masi terisolasi dan kurang berkembang. Sama halnya dengan kondisi kelistrikan di Provinsi Papua, berdasarkan Statistik Ketenagalistrikan Tahun 2018 diketahui bahwa rasio elektrifikasi di Provinsi Papua sebesar 61,42 % yang merupakan terendah kedua dari rasio elektrifikasi seluruh Indonesia. Permasalahan di atas hanya mungkin dapat diatasi dengan melakukan diversifikasi sumber energi baik menyangkut jenis maupun jumlahnya melalui pemanfaatan berbagai sumber energi alternative khususnya sumber energi terbarukan (renewable energy). Karena sistem OTEC dipasang di daerah pantai atau lepas pantai maka potensi OTEC di Provinsi Papua terdapat di daerah-daerah di sepanjang perairan Provinsi Papua yang memiliki kedalaman laut ± 1000 m. Efisiensi maksimum sistem OTEC di perairan Nabire sebesar 0,76 sedangkan di perairan Biak, Bonggo, dan Jayapura mempunyai efisiensi maksimum yang hampir sama yaitu 0,84.Kata Kunci: OTEC, konversi energi.                            
Harvesting System for Autonomous Robotic in Agriculture: A Review. rahmadian, Reza; Widyartono, Mahendra
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol 2, No 1 (2019)
Publisher : Jurusan Teknik Elektro Fakultas Teknik UNESA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v2n1.p1-6

Abstract

Technology in the modern day has led to the development of agricultural robots that helps to increase the agriculture productivity. Numerous research has been conducted to help increasing the capability of the robot in assisting agricultural operation, which leads to development of autonomous robot. The development aim is to help reducing agriculture’s dependency on operators, workers, also reducing the inaccuracy caused by human errors. There are two important development components for autonomous harvesting. The first component is Machine vision for detecting the crops and guiding the robot through the field and the second component actuator to grab or picking the crops or fruits.
Machine Vision and Global Positioning System for Autonomous Robotic Navigation in Agriculture: A Review Reza Rahmadian; Mahendra Widyartono
JIEET (Journal of Information Engineering and Educational Technology) Vol. 1 No. 1 (2017)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jieet.v1n1.p46-54

Abstract

Interest on robotic agriculture system has led to the development of agricultural robots that helps to improve the farming operation and increase the agriculture productivity. Much research has been conducted to increase the capability of the robot to assist agricultural operation, which leads to development of autonomous robot. This development provides a means of reducing agricultures dependency on operators, workers, also reducing the inaccuracy caused by human errors. There are two important development components for autonomous navigation. The first component is Machine vision for guiding through the crops and the second component is GPS technology to guide the robot through the agricultural fields.
Co-Authors A. Samrul Ilmun Nafik Abdul Hafidz Abualigah, Laith Achmad Imam Agung Achmad, Fendi Aditya Chandra Hermawan Aditya Hermawan, Aditya Aditya Prapanca Agus Prastyawan Alfarid Hendro Yuwono Amaliah, Fithrotul Irda Anita Susanti Ardyanto, Yazirwan Latif Arief, Rozihan Arif . Widodo Arif Widodo Ariyanto, Sudirman Rizki As'ad Shidqy Aziz As’ad Shidqy Aziz Ayusta Lukita Wardani Bambang Suprianto . Bintang Fellix Romansyach Nindjau Cahyono, Alfin Rizki Dadang Supriyatno Daeng Rakhmatullah Dermawan, Dodik Dodik Arwin Dermawan Farid Baskoro Fifit Yeti Wulandari Fithrotul Irda Amaliah Hanafi, Muhammad Faisal Hermawan , Aditya Chandra Hermawan,, Aditya Chandra Kunjung Ashadi Kusuma, Fajar Indra lilis Sulandari Lubis, Indra Sanun Lukita Wardani, Ayusta Mahendra Widiyartono Mahendra Widyartono Mashuri, M Adamu Islam Muchlas Samani Muhammad Abdus Salam muhammad rizky, muhammad Muhammad Syahril Mubarok Muhammad Syahril Mubarok Muhammad, Lintang Muqorrobin, Zufar Permana Nur Kholis Nur Vidia Laksmi B Nur Vidia Laksmi B. Nurlita, Ita Patria, Asidigisianti Prasetyo Isbandono Prasetyo, Haris Budi Prasetyono, Puguh Purnama, Rizki Dwi Putra Putra, Bima A.W. Rahmatullah, Daeng Ratna Suhartini Renantanda Shah Alam Rina Harimurti Rio Putra, Rio Rohman, Juni Noor Rusanti, Irma Sakti, Arya Saputra, Revando Ardi Shehadeh, Hisham A. Shidqy Aziz, As'ad Suhermanto, Dimas Ahmad Nur Kholis Sunwinarti, Sunwinarti Suprapto Suprapto TRI UMAROH, SUSI Udin, Muhammad Syafi Umaroh, Susi Tri Wahyu Dwi Mulyono Wardani, Ayusta WARJU WENI ROSDIANA Widi Aribowo Widiyartono, Mahendra Z, M Syariffuddien