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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JMM17: Jurnal Ilmu Ekonomi dan Manajemen Jurnal Manajemen Teori dan Terapan Journal of Information Systems Engineering and Business Intelligence Journal of Natural Sciences and Mathematics Research 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 Journal of Electronics, Electromedical Engineering, and Medical Informatics Specta Journal of Technology Community Service Journal of Indonesia Jurnal Tecnoscienza REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Layanan Masyarakat (Journal of Public Service) Indonesian Journal of Cultural and Community Development Indonesia Berdaya Walisongo Journal of Information Technology Jurnal Kedaymas Journal of Health Community Service Indexia 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 Indonesian Research Journal on Education Jurnal Pengembangan Masyarakat Lokal Limits: Journal of Mathematics and Its Applications
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Desain Sistem Kendali Gerak Surge, Sway dan Yaw pada Autonomous Underwater Vehicle dengan Metode Sliding Mode Control (SMC) Herlambang, Teguh
Limits: Journal of Mathematics and Its Applications Vol 14, No 1 (2017)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (645.958 KB) | DOI: 10.12962/limits.v14i1.2210

Abstract

Kapal selam tanpa awak aatau yang biasa disebut Autonomous Underwater Vehicle (AUV)  merupakan salah satu jenis robot bawah air yang relatif flexibel untuk eksplorasi bawah laut dan peralatan sistem pertahanan bawah laut. AUV dikendalikan oleh komputer di atas kapal permukaan untuk melaju dan bergerak dengan enam derajat kebebasan (6-DOF). Untuk mengendalikan AUV dibutuhkan sistem kendali gerak. Pada penelitian ini dikembangkan sistem kendali gerak menggunakan model nonlinier 3-DOF AUV yaitu gerak surge, sway dan yaw dengan metode Sliding Mode Control (SMC). Hasil simulasi menunjukkan bahwa metode SMC dapat digunakan sebagai sistem kendali gerak 3-DOF dengan menghasilkan error 0.03% untuk gerak surge dan 0.04% untuk gerak sway serta 0.5% untuk gerak yaw.
Application Kohonen Network and Fuzzy C Means for Clustering Airports Based on Frequency of Flight Rahmalia, Dinita; Herlambang, Teguh
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 | Full PDF (243.442 KB) | DOI: 10.22219/kinetik.v3i3.608

Abstract

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.
PELATIHAN E-MARKETING DI PONDOK PESANTREN MUKMIN MANDIRI SIDOARJO Herlambang, Teguh; Yudianto, Firman
JURNAL PENGEMBANGAN KOMUNITAS Vol 2 No 1 (2018): August
Publisher : JURNAL PENGEMBANGAN KOMUNITAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.295 KB)

Abstract

Pemanfaatan internet telah mengubah pola hidup dan budaya manusia dalam belajar, bekerja, berkomunikasi, berbelanja dan aspek lainnya. Saat ini masyarakat lebih banyak menggunakan uw internet dalam berkomunikasi seperti surat elektronik (e-mail), serta jejaring sosial (socialnetworking) yang dianggap lebih efektif dan efisien. Dengan jumlah pengguna internet yangmayoritas mengunakan jejaring sosial dan berbagai akses informasi maka sangat diperlukan edukasi yang tepat mengenai internet itu sendiri. Internet dapat digunakan untuk media promosi pondok pesantren. Hasil dari pelatihan E-Marketing dapat digunakan untuk menambah skill dari santri pondok pesantren mukmin mandiri. Sasaran pengabdian masyarakat ini adalah santri di pondok pesantren mukmin mandiri. Pelatihan e-marketing dilakukan dengan memaparkan materi e-marketing dan peserta dapat mengimplementasikan emarketing secara langsung dengan dipandu oleh mahasiswa. Peningkatan pengetahuan para santri terlihat dari antusiasme dan ketepatan dalam menjawab pertanyaan yang diberikan.
Estimasi Gerak Menyelam ITSUNUSA AUV dengan Metode Ensemble Kalman Filter Square Root (EnKF-SR) Herlambang, Teguh; Subchan, Subchan; Nurhadi, Hendro
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 | Full PDF (371.327 KB)

Abstract

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
Sliding mode control design for autonomous surface vehicle motion under the influence of environmental factor Hendro Nurhadi; Erna Apriliani; Teguh Herlambang; Dieky Adzkiya
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (341.862 KB) | DOI: 10.11591/ijece.v10i5.pp4789-4797

Abstract

Autonomous Surface Vehicle (ASV) is a vehicle that is operated in the water surface without any person in the vehicle. Since there is no person in the ASV, a motion controller is essentially needed. The control system is used to make sure that the water vehicle is moving at the desired speed. In this paper, we use a Touristant ASV with the following specifications: the length is 4 meters, the diameter is 1.625 meters, and the height is 1.027 meters. The main contribution of this paper is applying the Sliding Mode Control system to the Touristant ASV model under the influence of environmental factors. The environmental factors considered in this work are wind speed and wave height. The Touristant ASV model is nonlinear and uses three degree of freedom (DOF), namely surge, sway and yaw. The simulation results show that the performance of the closed-loop system by using the SMC method depends on the environmental factors. If environmental factors are higher, then the resulting error is also higher. The average error difference between those resulted from the simulation without environmental factors and those with the influence of environmental factors is 0.05% for surge, sway and yaw motions.
Estimation of closed hotels and restaurants in Jakarta as impact of corona virus disease spread using adaptive neuro fuzzy inference system Mohamad Yusak Anshori; Teay Shawyun; Dennis V. Madrigal; Dinita Rahmalia; Fajar Annas Susanto; Teguh Herlambang; Dieky Adzkiya
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i2.pp462-472

Abstract

Corona virus disease (COVID-19) have become a world health problem because they have attacked many people worldwide. Because this virus has spread massively in almost all countries, including Indonesia, the Indonesian government made some policies and rules to close down the hotels and restaurants to avoid the spread of COVID-19. Because of that, estimation of the number of closed down restaurants and hotels in Jakarta is vital for avoiding COVID-19 spreads further to other people, either domestic or foreign. In this paper, the adaptive neuro-fuzzy inference system (ANFIS) is chosen as the estimation method. In estimating the number of closed restaurants and hotels using ANFIS, supporting variables such as the amount of casualties in Jakarta, the amount of casualties in Indonesia, and the amount of casualties in the world is required. As a result, ANFIS can estimate the amount of closed down restaurants and hotels approaching the target. The simulations are organized by partitioning the dataset into two parts: data of (80%) and data of testing (20%). According to ANFIS simulations, ANFIS can estimate the number of closed down restaurants and hotels in training data with optimal RMSE equals 0.5324 and testing data with optimal RMSE equals 5.3198.
PELATIHAN E-MARKETING DI PONDOK PESANTREN MUKMIN MANDIRI SIDOARJO Teguh Herlambang; Firman Yudianto
Community Development Journal Vol 2 No 1 (2018): Community Development Journal
Publisher : UNUSA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.295 KB) | DOI: 10.33086/cdj.v2i1.410

Abstract

Pemanfaatan internet telah mengubah pola hidup dan budaya manusia dalam belajar, bekerja, berkomunikasi, berbelanja dan aspek lainnya. Saat ini masyarakat lebih banyak menggunakan uw internet dalam berkomunikasi seperti surat elektronik (e-mail), serta jejaring sosial (socialnetworking) yang dianggap lebih efektif dan efisien. Dengan jumlah pengguna internet yangmayoritas mengunakan jejaring sosial dan berbagai akses informasi maka sangat diperlukan edukasi yang tepat mengenai internet itu sendiri. Internet dapat digunakan untuk media promosi pondok pesantren. Hasil dari pelatihan E-Marketing dapat digunakan untuk menambah skill dari santri pondok pesantren mukmin mandiri. Sasaran pengabdian masyarakat ini adalah santri di pondok pesantren mukmin mandiri. Pelatihan e-marketing dilakukan dengan memaparkan materi e-marketing dan peserta dapat mengimplementasikan emarketing secara langsung dengan dipandu oleh mahasiswa. Peningkatan pengetahuan para santri terlihat dari antusiasme dan ketepatan dalam menjawab pertanyaan yang diberikan.
Application Bat Algorithm for Estimating Super Pairwise Alignment Parameters on Similarity Analysis Between Virus Protein Sequences Dinita Rahmalia; Teguh Herlambang
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 6, No 2 (2020): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v6i2.14323

Abstract

There were many diseases caused by viruses or bacteria. the virus or bacteria can mutate so that they could result the new disease. Sequence alignment was important so that it could be used to research genetic diseases and epidemics. In this reseach, we took case study of dengue virus and zika virus. To see the similarity between original virus and the mutation virus, it wass required the alignment process of two virus sequences. The method used for aligning two virus sequences was Super Pairwise Alignment (SPA). Due to the similarity value depended on SPA parameters, in this research we would apply heuristic method, such as Bat Algorithm (BA) algorithm to optimize SPA parameters maximizing similarity value as objective function. BA was the optimization method which was inspired by the behavior of bats in using sonar called echolocation to detect prey, avoid obstacles. From the BA simulations, we could obtain optimal SPA parameters resulting maximum similarity value between two aligned each of dengue virus and zika virus protein sequences in approaching.
Fertilizer Production Planning Optimization Using Particle Swarm Optimization-Genetic Algorithm Dinita Rahmalia; Teguh Herlambang; Thomy Eko Saputro
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 2 (2019): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (297.382 KB) | DOI: 10.20473/jisebi.5.2.120-130

Abstract

Background: The applications of constrained optimization have been developed in many problems. One of them is production planning. Production planning is the important part for controlling the cost spent by the company.Objective: This research identifies about production planning optimization and algorithm to solve it in approaching. Production planning model is linear programming model with constraints : production, worker, and inventory.Methods: In this paper, we use heurisitic Particle Swarm Optimization-Genetic Algorithm (PSOGA) for solving production planning optimization. PSOGA is the algorithm combining Particle Swarm Optimization (PSO) and mutation operator of Genetic Algorithm (GA) to improve optimal solution resulted by PSO. Three simulations using three different mutation probabilies : 0, 0.01 and 0.7 are applied to PSOGA. Futhermore, some mutation probabilities in PSOGA will be simulated and percent of improvement will be computed.Results: From the simulations, PSOGA can improve optimal solution of PSO and the position of improvement is also determined by mutation probability. The small mutation probability gives smaller chance to the particle to explore and form new solution so that the position of improvement of small mutation probability is in middle of iteration. The large mutation probability gives larger chance to the particle to explore and form new solution so that the position of improvement of large mutation probability is in early of iteration.Conclusion: Overall, the simulations show that PSOGA can improve optimal solution resulted by PSO and therefore it can give optimal cost spent by the company for the  planning.Keywords: Constrained Optimization, Genetic Algorithm, Linear Programming, Particle Swarm Optimization, Production Planning
Estimasi Posisi Magnetic Levitation Ball Menggunakan Metode Akar Kuadrat Ensemble Kalman Filter (AK-EnKF) Teguh Herlambang
R.E.M. (Rekayasa Energi Manufaktur) Jurnal Vol 2 No 1 (2017): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/r.e.m.v2i1.768

Abstract

The role of Magnetic Levitation Ball in an industrial world is very important, among others, as system applied to a train moving on the rail at high speed (MAGLEV). Magnetic Levitation Ball is system consisting of a ferromagnetic solid steel ball floating over The surface of air medium when supplied with electromagnetic power which is hard to predict its position, and therefore estimations is required to estimate the position, and speed of the steel ball when the electromagnetic power is supplied to the steel ball. This paper was study on application of the modification of Ensemble Kalman Filter (EnKF) method by adding Root Square at the stage of corecction called Ensemble Kalman Filter Square Root (EnKF-SR). Implemented to the mathematical model of magnetic levitation ball and speed of ferromagentic steel ball the result of the simulation of EnKF-SR using mathematical model of magnetic levitation ball showed that the error was less than 2% by generating both 200 and 300 ensembles. The least error was observed when 200 ensemble was generated at which the position error of ball was 0.018 m, and speed of the bll was 0.016 m/s and the electric current was 0.018 A.
Co-Authors 'Arobi, Akhmad 'Izzul Abdul Muhith Adrianto, Dian Afiananda Rizky Afib Rulyansah Ahmad Syafiq Kamil Ajizah, Silvia Akbar, Reza Maliki Amri Rasyid, Reizano Andy Suryowinoto Arasy Alimudin ARDIANSYAH, DAVID Arief, M. Romli Arof, Hamzah Asy'ari, Vaizal Asy’ari, Vaizal Authar, Nailul Azmi Khulama Devi Baital, Muhammad Sawal Budiarti, Rizqi Putri Nourma Candra Ningrat Catur Wulandari Dennis V. Madrigal Diah Ayuningtyas Wati Dian Adrianto Diecky Adzkiya Dieky Adzkiya Dike Bayu Magfira, Dike Bayu Dina Novita, Dina Dini Ermavitalini Dinita Rahmalia, Dinita Elisa Qotrunnada Endang Sulistiyani Erna Apriliani Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Farisi, Rizaldi Al Fatikhasari, Niken Fatmawati, Atika Fauji, Awwalinnisa Fidita, Denis Firdaus, Aji Akbar Hakiki, Moh Saiful Hamdani, M. Yusuf Hasan, Aldi Age Hasanah, alsabila Maulidah Hasanah, Indah Karimatul Hendro Nurhadi Hety, Dyah Siwi Ima Kurniastuti Isqi, Isye Fadiata Jauharotur Rihlah Karya, Denis Fidita Katherin Indriawati Khozin Mu'tamar Kresna Oktafianto Kresna Oktafianto Leni Yuliana M. Yushak Anshori Macap, Siti Rahayu Maghfira, Dike Bayu Maisyatul Fikriyyah Maulana Bayu Mayga Kiki Merta, I Wayan Surya Miftahul Huda Moch. Sahri Mohamad Yusak Anshori Mohammad Syaiful Pradana, Mohammad Syaiful Mokhamad Ramadani Ilham Akbar Mughni, Ahmad Syafiq Muhaimin Muhaimin Muhammad Halili Muhammad Nur Candra Mutia Annisaa’ Firdaus Nafa, Mulya Nyoman Juniarta, Nyoman Oktavianto, Lucky Pradana, Favian Aditya Pulih Asih, Akas Yekti Puspandam Katias Putri, Nadita Mutiara Rachma Rizqina Rachman Sinatriya Marjianto Rahayu, Ragil Puji Riansyah, Denny Fitrah Af Rita Sari Riyan Sisiawan Putra Rizky Ramadhan, Rizky Roebbi, aadiyah Rohman, Mochamad Khakim Santoso, Ismanto Hadi Saputro, Hendik Eko Septiyan Dias Anggoro Shiela, Fadia Jasmine Has Sigit Pancahayani Siswanti, Anas Tifa Rahma Sofia, Ainin Soraya, Sabrina Ifahdini Sri Hartatik Subchan Subchan Subchan Subchan Subchan Subchan Subchan, Subchan Sulistiyani, Endang Suprapto, Sena Sukmananda Supriyanto Supriyanto Susanto, Fajar Annas Susanto, Ismanto Hadi Teay Shawyun Thomy Eko Saputro Tomasouw, Berny Pebo Tri Deviasari Wulan Tri Deviasari Wulan Wulan Triono Bagus Saputro, Triono Bagus Triwinanto, Puguh Vicky Andria Kusuma Virniasai, Putri Yuliana Wahyu Wiji Lestari Widjanarko, Angga Adhitya Wulan, Tri Deviasari Wulansari, Tri Yudianto, Firman Yuliana, Leni Yuliyanto Agung Prabowo Zakaria, Moch Zhulqurnain, Mohamad Rijal Iskandar