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Autopilot Unmanned Smart Boat Vehicle (AUSV) Communication with LoRa RFM95 Arfianto, Afif Zuhri; Rahmat, Mohammad Basuki; Dhiyavia, Fuad; Santoso, Tri Budi; Gunantara, Nyoman; Supriyanto, Eko; Ardhana, Valian Yoga Pudya
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.492

Abstract

Autopilot is a system control application on moving vehicles such as airplanes, helicopters, or boat, which serves to stabilize the direction of motion in the desired time and the programmed path's direction. the autopilot control system is controlled by a series of microcontrollers and GPS that has the function to be able to determine and the desired object. This control system is designed with electrical system controls that utilize microcontrollers, sensor  and GPS as control media. The development of autopilot prototypes is used for testing new control algorithms and the reliability of other electronic components such as sensors and microprocessors. A control system is needed to control the boat to its destination. The relatively accurate system dynamics model affects the steering performance of the autopilot system. The system in question can be considered a boat with an actuator rudder, which experiences external disturbances. this system is broadly divided into two parts: the control station part and the autonomous boat part. These two parts communicate with each other using LoRa device. The data sent from the control station to the autonomous boat is target latitude and longitude coordinates. The autonomous boat will send feedback in the form of boat latitude and longitude coordinates so that users can find out the current location of the boat. Autonomous Boat also provides feedback to the control station via LoRa in the form of boat coordinates so that users can find out the current location of the boat and whether the boat has reached the specified coordinates. The control station will send feedback from the boat to a database that can be monitored via the website to find out the boat's current condition on the website. Based on the  results that have been obtained in the analysis and testing of the system. GPS sensor used in autonomous boat Ublox NEO-7m has an accuracy level with an average distance value of 3.220921 meters with the lowest cold start time of 7 seconds.  Compass sensor used in autonomous boat CMPS11 has an accuracy level with an average value of 3.041667 degrees. Communication distance between autonomous boat and control station using LoRa with 5dBi antenna can reach 1406.79 meters in condition without obstruction between nodes.  Data delivery system can be successfully sent from user to autonomout boat and sending feedback back to user. Delay update of boat coordinate data on interface has the lowest average of 30.8 seconds. Based on turning circle test results, autonomous boat is able to create imperfect circles with a radius of 8,364 m.
Benchmarking Model Machine Learning untuk Prediksi Data Berdasarkan Akurasi dan Error Syahrani Lonang; Danang Tejo Kumoro; M. Dermawan Mulyodiputro; Ardhana, Valian Yoga Pudya
SainsTech Innovation Journal Vol. 8 No. 2 (2025): SIJ VOLUME 8 NOMOR 2 TAHUN 2025
Publisher : LPPM Universitas Qamarul Huda Badaruddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37824/sij.v8i2.2025.1141

Abstract

Perkembangan machine learning mendorong pemanfaatan berbagai model regresi untuk melakukan prediksi data secara akurat dan efisien. Namun, perbedaan karakteristik dataset menyebabkan kinerja setiap model bervariasi, sehingga diperlukan proses benchmarking untuk menentukan model yang paling optimal. Penelitian ini bertujuan untuk membandingkan kinerja beberapa model machine learning dalam tugas prediksi data berbasis regresi tanpa melakukan pengembangan aplikasi. Model yang dievaluasi meliputi Linear Regression, Decision Tree Regression, Random Forest Regression, Support Vector Regression, dan K-Nearest Neighbor Regression. Dataset yang digunakan merupakan dataset publik dengan variabel numerik yang telah melalui tahap praproses data, meliputi pembersihan data, normalisasi, dan pembagian data latih serta data uji. Evaluasi kinerja model dilakukan menggunakan metode K-Fold Cross Validation dengan metrik Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), dan koefisien determinasi (R²). Hasil penelitian menunjukkan bahwa Random Forest Regression memberikan kinerja terbaik dengan nilai error terendah, nilai R² tertinggi, serta stabilitas model yang baik dibandingkan model lainnya. Hasil ini menunjukkan bahwa pendekatan ensemble efektif dalam meningkatkan akurasi dan kemampuan generalisasi model pada tugas prediksi data regresi.
OPTIMASI BLOG DENGAN META TAG UNTUK SEO DAN MONITORINGNYA Valian Yoga Pudya Ardhana; Ahmad Wilda Yulianto
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 15 No. 1 (2015)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v15i1.23

Abstract

Blog as one of the media applicationson the Internethas been used all aroundIndonesia. The user wasnot limited by age,ranging from children to the elderly. A lot of people notrealize that blogs can beoptimizedso thatthe bloggettingtoppositionsin search engines. Metatagwasone ofoptimization techniquesinSearch Engine Optimization (SEO). The main target washow to increaseblogtraffc requests. Afteroptimization, the next stepwasmonitoring, whichaims to determinethe extent to whichthe success ofoptimizationhas been done onSEO.The resultwas ablog sitegettingtoppositionsinthe search enginesandthe monitoring process resultsindicatethat thetitleand content was veryappropriatethat was 100%, description and contentwere alsoappropriatethat was 91%.
Co-Authors A. Muh. Amil Siddik A. Muh. Yusril A. Muh. Yusril A. Muhammad Risqullah Adi Supriyatna Adrisumatri Sakri Afriansyah, M Afriansyah, M. Ahmad Wilda Yulianto Ahmad Wilda Yulianto Alamsyah, Noor Ali Muhtasom Alika Oktaviani Amran, Rozalina Anarsya Sarundaitan Andi Ilhamsyah Idris Andi Maghfirah Inzani Saputra Arfianto, Afif Zuhri Ayatullah, Usamah bin Baiq Wira Hartati Benardo Sinambela Butar-butar, Martahan Mikhael Danang Tejo Kumoro Danang Tejo Kumoro Danang Tejo Kumoro Desyanti - Desyanti Dhiyavia, Fuad Dous, Forni N Dwi Agustini, Dwi Dwi Ivana L Sitohang Eka Fitri Ramadani Eko Supriyanto Eliyah Acantha Manapa Sampetoding Emha Ismaulidin Esther Sanda Manapa Firmansyah, Dodiy Forni N Dous Frieyadie Frieyadie Godfried Lewakabessy Gormantara, Jeriko Hartati, Baiq Wira Hasbullah Hetty Rohayani Hidayat, Muhammad Taufiq Hidayatullah Ruslan Hoxy R Talua Hoxy R Taluay Hoxy R Taluay Hutba, Muh Hudri Perdana I Nyoman Gunantara Ilahi, Indah Kurnia Indah Kurnia Ilahi Indira Septianita Larasati Irene Maritsa Ismaulidin, Emha Jeriko Gormantara Jihan Afifah Mirzani Jones Azarya Tomassoyan Joni Saputra Joni Saputra Kartika, Selviani Amalia Kumoro, Danang Tejo Kusuma, Logananta Puja Lilik Hidayati Lilik Hidayati, Lilik Lita, Baiq Fitria Frisma Lopinta Sarungallo M. Afriansyah M. Dermawan Mulyodiputo M. Dermawan Mulyodiputro M. Dermawan Mulyodiputro M. Dermawan. Mulyodiputro Manapa, Esther S Martahan Mikhael Butar-butar Meisin Larungkondo Miftahul Jannah Mirzani, Jihan Afifah Mohammad Basuki Rahmat, Mohammad Basuki Mohammad Javed Equbal Mohammad Syahril Monica Natalin Monica Natalin Muh Hudri Perdana Hutba Muh Sapi'i Muh Yusran Hardimas Setiawan Muh. Gifari Muh. Gifari Sakawati Muh. Sulthan Nazhim Muh. Sulthan Nazhim Muh. Yusuf Syam Muhammad Arya Ramdani Muhammad Dermawan Mulyodiputo Muhammad Dermawan Mulyodiputro Muhammad Sapi’i Mulyodiputro, M. Dermawan Natalin, Monica Nila Sari Noor Alamsyah Nur Hikmah Nur Hikmah Nurul Salsabila Syam Nurul Salsabila Syam Paula Aneke Ruung Pa’ni, D Mustamu Qamal Putri Aulia Nur Salsabila Rahmat Mardzuki Rahmi Rahmi Ramdani, Muhammad Arya Reza Indra Wiguna Rini, Puspita Riski Ferita Wahyu Rozalina Amran Safitri, Rias Pratiwi Salsabila, Putri Aulia Nur Sapi'i, Muh Saputra, Andi Maghfirah Inzani Sarira, Stefany Frans Satiadji, Amirosa Ria Selviani Amalia Kartika Setiawan, Muh Yusran Hardimas Siddik, A. Muh. Amil Siti Maryam SITI MARYAM Siti Pitrianti Stefany Frans Sarira Sumiati Sumiati Susetiyo, Wirya Olivia Dwi Syahrani Lonang Taluay, Hoxy R Tomassoyan, Jones Azarya Tommy Wijaya Sagala Tri Budi Santoso Usamah bin Ayatullah Uswatun Hasanah Wirya Olivia Dwi Susetiyo Yonathan Anggian Sihaan Yuan Sa'adati Yuan Sa'adati Yulianto, Ahmad Wilda Yulita Sirinti Pongtambing Yusri Anugerah Manapa Ambabunga