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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JMM17: Jurnal Ilmu Ekonomi dan Manajemen Journal of Information Systems Engineering and Business Intelligence R.E.M (Rekyasa Energi Manufaktur) Jurnal Teknika: Engineering and Sains Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control BAREKENG: Jurnal Ilmu Matematika dan Terapan ASRO JOURNAL - STTAL STTAL POSTGRADUATE - INTERNATIONAL CONFERENCE Limits: Journal of Mathematics and Its Applications International Journal of Computing Science and Applied Mathematics Zeta - Math Journal Prosiding Seminar Nasional Sains dan Teknologi Terapan Multitek Indonesia : Jurnal Ilmiah Care : Jurnal Ilmiah Ilmu Kesehatan Mathvision : Jurnal Matematika Systemic: Information System and Informatics Journal Education and Human Development Journal Community Development Journal Specta Journal of Technology REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Cultural and Community Development Indonesia Berdaya Walisongo Journal of Information Technology Jurnal Kedaymas Indexia : Informatics and Computational Intelligent Journal Islamic Banking : Jurnal Pemikiran dan Pengembangan Perbankan Syariah Pattimura International Journal of Mathematics (PIJMath) Semanggi: Jurnal Pengabdian kepada Masyarakat Prosiding Seminar Nasional Pengabdian Kepada Masyarakat

Teguh Herlambang

Universitas Nahdlatul Ulama Surabaya

Author-ID : 674267

Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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ESTIMASI GERAK TRANSLASI AUTONOMOUS UNDERWATER VEHICLE DENGAN ENSEMBLE KALMAN FILTER (EnKF) Teguh Herlambang; Subchan Subchan
Teknika: Engineering and Sains Journal Vol 2, No 1 (2018): Juni 2018
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/tesj.v2i1.227.41-46

Penelitian dan pengembangan dari Autonomous Underwater Vehicle cukup banyak diantaranya terkait sistem kendali, navigasi dan hidrodinamika. Pada umunya persamaan gerak AUV adalah 6 derajat kebebasan/Degree of Freedom (DOF) yang terdiri dari gerak translasi (surge, sway, heave) dan gerak rotasi (roll, pitch, yaw). Pada paper ini dikembangkan metode estimasi gerak tranlasi dari ITSUNUSA AUV dengan metode Ensemble Kalman Filter. Pada paper ini juga dibandingkan berdasarakn pembangkian julah ensemble. Hasil simulasi menunjukkan bahwa yang terakurat adalah dengan membangkitkan 300 ensemble dengan error kecepatan untuk gerak surge adalah 0,082%, gerak sway 0.498% dan gerak heave 0.26%.

Klasifikasi Multi Output pada Harga Smartphone Menggunakan Learning Vector Quantization (LVQ) dan Backpropagation (BP) Dinita Rahmalia; Mohammad Syaiful Pradana; Teguh Herlambang
Systemic: Information System and Informatics Journal Vol. 6 No. 2 (2020): Desember
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/systemic.v6i2.967

There are many smartphones with various price sold in market. The price of smartphone is affected by some components such as weight, internal storage, memory (RAM), rear camera, front camera and brands. There are two methods for classifying price class of smartphone in market such as Learning Vector Quantization (LVQ) and Backpropagation (BP). From classifying price class of smartphone in market using LVQ and BP, there are the differences on the both of them. LVQ classifies price range of smartphone by euclidean distance of weight and data on its iteration. BP classifies price range of smartphone by gradient descent of target and output on its iteration. In multi output classification, one object may have multi output. Based on simulation results, BP gives the better accuracy and error rate in training data and testing data than LVQ.

Prediksi Harga Saham pada PT. ABCD menggunakan Ensemble Kalman Filter Puspandam Katias; Denis Fidita; Teguh - Herlambang
Zeta - Math Journal Vol 4 No 1 (2018): Mei 2018
Publisher : Universitas Islam Madura

Stock Exchange is established as an effort to link both stock / security sellers and buyers. Securities often traded in stock market is share. The intention of an investor in investment is to have the lowest risk and to gain the highest profit. To make decision for optimal investment, calculation on the estimate of future return to be gained is necessarily made. One of estimate calculation methods considered the most objective is by applying the Ensemble Kalman filter (EnKF) method. Ensemble Kalman filter is a method of estimation of condition variable of discrete linear dynamic system that minimizes covarian error of estimation. So, this study aims to apply share price estimation method for close prices of share of PT. ABCD by Ensemble Kalman Filter method as investor' consideration in investment with an error of 3% - 5%.

Peramalan Kebutuhan Darah Jenis Packet Red Cells (PRC) di PMI Kota Surabaya dengan Metode Jaringan Syaraf Tiruan Propagasi Balik Azmi Khulmala Devi; Teguh - Herlambang
Zeta - Math Journal Vol 4 No 1 (2018): Mei 2018
Publisher : Universitas Islam Madura

Human blood is liquid in human body, which functions to transport oxigen needed by cells to the whole body. Considering the important blood function, the Indonesian Red Cross (PMI) has to maintain its blood stock stability to ensure the blood availibility. But the problem that PMI has to encounter with is its blood over-supply which leads to blood disposal. To minimize its unnessary blood disposal, estimation of blood need is required. Data of blood demand is normalized first, then estimation is made using Neural Network Backpropagation. In this study the estimation is made to the blood type of Packet Red Cells (PRC), the blood cells stocked at PMI Kota Surabaya. The best simulation result is at epoch 3000 with function Y = 4542,33 – 1,64595 x – 0,244018 x^2 and an error of 0,020314.

Estimasi Harga Saham pada PT. ABC dengan Algoritma Kalman Filter Puspandam Katias; Teguh Herlambang; Denis Fidita
Zeta - Math Journal Vol 3 No 2 (2017): November 2017
Publisher : Universitas Islam Madura

Saham merupakan surat berharga sebagai bukti tanda penyertaan atau kepemilikan seseorang atau badan hukum dalam suatu perusahaan, khususnya perusahaan publik yang memperdagangkan sahamnya. Investasi dalam bentuk saham banyak dipilih para investor karena saham mampu memberikan keuntungan yang menarik. Dalam aktivitas perdagangan saham sehari-hari, harga-harga saham mengalami fluktuasi baik berupa kenaikan maupun penurunan. Dalam pemilihan investasi yang aman pada saham, investor memerlukan cara untuk menilai harga saham yang yang akan dibeli ataupun kemampuan saham tersebut memberikan deviden dimasa dating, sehingga bisa mengoptimalkan keuntungan. Cara yang benar dalam analisa akan mengurangi risiko bagi investor dalam berinvestasi adalah dapat mengestimasi harga saham. Salah satu metode untuk mengestimasi kenaikan dan penurunan harga saham, Estimasi dilakukan karena suatu masalah terkadang dapat diselesaikan dengan menggunakan informasi atau data sebelumnya yang berhubungan dengan masalah tersebut. Kalman filter merupakan suatu metode estimasi variabel keadaan dari sistem dinamik linear diskrit yang meminimumkan kovarian error estimasi. Maka dari itu pada penelitian ini diterapkan metode estmasi harga saham untuk high and low prize saham dengan metode Kalman Filter, sebagai bagan pertimbangan investor dalam berinvestasi.

Estimasi Gerak Menyelam ITSUNUSA AUV dengan Metode Ensemble Kalman Filter Square Root (EnKF-SR) Teguh Herlambang; Subchan Subchan; Hendro Nurhadi
Prosiding Seminar Nasional Sains dan Teknologi Terapan 2019: Menuju Penerapan Teknologi Terbarukan pada Industri 4.0: Perubahan Industri dan Transformasi P
Publisher : Institut Teknologi Adhi Tama Surabaya

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

Autonomous Underwater Vehicle (AUV) merupakan salah satu jenis robot bawah air yang relatif flexibel untuk peralatan sistem pertahanan bawah laut dan eksplorasi sumber daya alam di bawah laut. AUV terdiri dari gerak translasi dan rotasi yan tergabung dalam 6 Degree of Freedom (DOF). Pengendalian AUV dibagi menjadi dua yaitu kendali kecepatan dan kendali agar mengikuti lintasan yang diinginkan. Kendali AUV agar mengikuti trajectory yang diinginkan ini biasa disebut dengan system navigasi atau Estimasi trajectory. Pada penelitian ini dikembangkan sistem navigasi untuk gerak menyelam dengan model 3-DOF yaitu gerak surge, heave dan pitch dengan metode Ensemble Kalman Filter Square Root (EnKF-SR). Hasil simulasi menunjukkan bahwa metode EnKF-SR dapat digunakan sebagai sistem system navigasi 3-DOF dengan menghasilkan error estimasi gerak menyelam untuk surge, heave dan pitch memiliki error yang cukup kecil yaitu 0.02 m/s untuk gerak translasi dan 0.005 rad/s untuk gerak rotasi. Sedangkan error posisi menyelam hanya 0.03 meter atau 3 cm dari lintasan yang ditentukan

Application Kohonen Network and Fuzzy C Means for Clustering Airports Based on Frequency of Flight Dinita Rahmalia; Teguh Herlambang
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 3, August 2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v3i3.608

In Indonesia, the demands of air tranportation for reaching destination increase rapidly. Based on the flight schedule in airports spreading in Indonesia, the airports have different flight demand rate so that it requires clustering. This research will use two methods for clustering : kohonen network and Fuzzy C Means (FCM).Kohonen network is the type neural network which uses unsupervised training.Kohonen network uses weight vectors for training while FCM uses degree of membership. Both kohonen network and FCM, inputs are represented by the number of departure and arrival of airline in one day. For kohonen network, we update weight matrices so that minimizing the sum of optimum euclidean distance. For FCM, we update degrees of membership so that minimizing the objective function value.From the simulations, we can cluster the airports based on the number of departure and arrival of airline.

PRELIMINARY EXPERIMENTAL STUDY ON DESIGNING BALLAST SYSTEM FOR AUTONOMOUS UNDERWATER VEHICLE Teguh Herlambang; Subchan Subchan; Hendro Nurhadi
JOURNAL ASRO Vol 10 No 1 (2019): International Journal of ASRO
Publisher : Indonesian Naval Technology College - Sekolah Tinggi Teknologi Angkatan Laut - STTAL

ABSTRACT Unmanned submarine commonly called Autonomous Underwater Vehicle (AUV) is one type of underwater robots used for underwater mapping. AUV is an underwater vehicle capable of automatically moving in water, controlled by humans on vessel. To build AUV is not easy as many components play important roles in the operation of AUV, one of which is active ballast. Calculations on the making and benchmarks of active ballast systems are still very rare. Active ballast is a set of equipment used to fill its tanks with seawater and to empty sea water from the tanks on submarines. These tanks are intended to balance submarines and for active ballast systems on submarines so as to be able to dive and float as needed. In this paper an experimental study was carried out on a tube resembling AUV with both fresh water and sea water to obtain ballast volume in AUV. Keywords: AUV, Active ballast, Experimental study

DESIGN OF SURGE AND ROLL MOTION CONTROL SYSTEM OF ITSUNUSA AUV USING PID CONTROLLER Teguh Herlambang; Subchan Subchan
JOURNAL ASRO Vol 9 No 1 (2018): International Journal of ASRO
Publisher : Indonesian Naval Technology College - Sekolah Tinggi Teknologi Angkatan Laut - STTAL

ABSTRACT This paper is about designing motion control system with 2-DOF motion equation to be applied to an Autonomous Underwater Vehicle (AUV) system. The 2-DOF motion equation which consists of surge and roll motion in the form of equations of nonlinear motion. The control system design applied to the ITSUNUSA AUV system uses the Proportional Integral Derivative (PID) method. The simulation results of the PID control system with the motion equation with 2-DOF on the ITSUNUSA AUV system show that the system proves to be stable at a predetermined set-point with an error of 0.01% for surge motion and that with an error of 4.2% for roll motion. Keywords: AUV, motion control, PID

OPTIMIZATION OF TOURISTANT ASV WITH JACOBIAN APPROACH Teguh Herlambang; Diecky Adzkiya; Hendro Nurhadi
JOURNAL ASRO Vol 10 No 2 (2019): International Journal of ASRO
Publisher : Indonesian Naval Technology College - Sekolah Tinggi Teknologi Angkatan Laut - STTAL

An Autonomous Surface Vehicle (ASV) is an unmanned ship that can automatically navigate itself in watery area. ASV can be utilized as tourism modes, transportation modes, Indonesian military (TNI) fleets or warships. In this paper, the study used a Touristant ASV prototype with a length of 3 meters, a diameter of 1.5 meters, and a height of 1.3 meters. The ASV motion system is a linear model with 3-DOF (surge, sway and yaw), resulted from the linearization of the ASV nonlinear model into a linear model which, then, was optimized as the basis of the navigation and guidance control system. The objective of this paper is to check the controllability and observability of the ASV Touristant linear model. The contribution of this paper is to provide numeric study on the controllability and observability of the model. Keyword: ASV, 3-DOF, linear model, Optimization, Controlable, Observable

Co-Authors Abdul Muhith Abdul Muhith, Abdul Afiananda Rizky Afib Rulyansah Ahmad Syafiq Kamil Andy Suryowinoto Andy Suryowinoto Andy Suryowinoto Atika Fatmawati Azmi Khulama Devi Azmi Khulmala Devi Berny Pebo Tomasouw Candra Ningrat Denis Fidita Dennis V. Madrigal Dian Adrianto Dian Adrianto Diecky Adzkiya Dieky Adzkiya Dike Bayu Magfira Dike Bayu Magfira Dinita Rahmalia Dinita Rahmalia Dinita Rahmalia, Dinita Dyah Siwi Hety Elisa Qotrunnada Erna Apriliani Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Hendro Nurhadi Hendro Nurhadi Hendro Nurhadi I Wayan Surya Merta Ima Kurniastuti Ismanto Hadi Santoso Ismanto Hadi Susanto Jauharotur Rihlah Karya, Denis Fidita Khozin Mu'tamar Kresna Oktafianto Kresna Oktafianto Leni Yuliana Leni Yuliana M. Yushak Anshori Maulana Bayu Mayga Kiki Moch Zakaria Moh. Saiful Hakiki Moh. Saiful Hakiki Mohamad Rijal Iskandar Zhulqurnain Mohamad Yusak Anshori Mohammad Syaiful Pradana, Mohammad Syaiful Mokhamad Ramadani Ilham Akbar Muhammad Nur Candra Muhammad Sawal Baital Mukhtar Adinugroho Mukhtar Adinugroho Mutia Annisaa’ Firdaus Puspandam Katias Puspandam Katias Rachma Rizqina Reizano Amri Rasyid Rita Sari Riyan Sisiawan Putra S. Subchan Septiyan Dias Anggoro Sigit Pancahayani Sri Hartatik Subchan Subchan Subchan Subchan Subchan Subchan Subchan Subchan Supriyanto Supriyanto Teay Shawyun Thomy Eko Saputro Tomasouw, Berny Pebo Tri Deviasari Wulan Tri Deviasari Wulan Wulan Yudianto, Firman

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