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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 Jurnal Ilmiah Ekonomi Islam 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 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 Parameter: Jurnal Matematika, Statistika dan Terapannya

Teguh Herlambang

Universitas Nahdlatul Ulama Surabaya

Author-ID : 674267

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology 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 Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Pelatihan pengujian website di PT. Abisakti Surya Megakon menggunakan Gtmetrix (Website Testing Training at PT. Abisakti Surya Megakon Using GTmetrix) Yudianto, Firman; Yuliana, Leni; Herlambang, Teguh; Maghfira, Dike Bayu
Indonesia Berdaya Vol 6, No 2 (2025)
Publisher : UKInstitute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ib.20251083

ABSTRAKPengujian performa website menjadi faktor krusial dalam memastikan pengalaman pengguna yang optimal. PT. Abisakti Surya Megakon menghadapi tantangan dalam memastikan kecepatan dan efisiensi website mereka. Penelitian ini bertujuan untuk memberikan pelatihan penggunaan GTmetrix sebagai alat evaluasi performa website guna meningkatkan efisiensi dan responsivitasnya. Berbeda dengan penelitian sebelumnya yang lebih fokus pada aspek teknis pengujian website secara mandiri, penelitian ini menawarkan pendekatan pelatihan berbasis praktik dengan studi kasus nyata pada website perusahaan. Dari segi novelty, penelitian ini menekankan penerapan langsung hasil analisis GTmetrix dalam konteks bisnis perusahaan, bukan hanya teori optimasi performa website. Hasil pelatihan menunjukkan peningkatan pemahaman peserta terhadap metrik kinerja website serta penerapan strategi optimasi yang lebih efektif. Dengan demikian, pelatihan ini diharapkan dapat menjadi solusi bagi perusahaan dalam meningkatkan kualitas website mereka secara berkelanjutan. Abstract. Website performance testing is a crucial factor in ensuring an optimal user experience. PT. Abisakti Surya Megakon faces challenges in ensuring the speed and efficiency of their website. This research aims to provide training on the use of GTmetrix as a tool for evaluating website performance to enhance its efficiency and responsiveness. Unlike previous studies that focused more on the technical aspects of independent website testing, this research offers a practical training approach with real case studies on the company's website. In terms of novelty, this study emphasizes the direct application of GTmetrix analysis results within the business context of the company, rather than merely focusing on theoretical website performance optimization. The training results indicate an increased understanding among participants regarding website performance metrics and the implementation of more effective optimization strategies. Thus, this training is expected to serve as a solution for the company in sustainably improving the quality of their website.

Pelatihan Sistem Informasi Pendataan Barang di Toko Kelontong (Training on Inventory Management Information Systems in Grocery Stores) Yudianto, Firman; Adinugroho, Mukhtar; Wulan, Tri Deviasari; Herlambang, Teguh; Rasyid, Reizano Amri
Indonesia Berdaya Vol 6, No 2 (2025)
Publisher : UKInstitute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ib.20251085

ABSTRAKSistem Informasi untuk Pengumpulan Data Barang di Toko Grosir merupakan sistem informasi yang penting untuk memudahkan pemilik toko grosir dalam mengumpulkan data barang di toko mereka. Proses pengumpulan data barang di Toko Grosir Mak Ti akan menggunakan sistem informasi berbasis website. Produk Sistem Informasi ini merupakan hasil dari program kemitraan antara Dosen dan Mahasiswa Unusa dengan mitranya, yaitu Pemilik Toko Grosir Mak Ti. Program kemitraan masyarakat ini merupakan salah satu bentuk tridharma perguruan tinggi, yaitu pengabdian kepada masyarakat. Program kemitraan ini akan dilanjutkan dengan tahapan yang telah direncanakan. Dengan sistem informasi pengumpulan data barang ini, diharapkan dapat memberikan efektivitas yang baik dalam mempercepat dan meningkatkan efisiensi proses pengumpulan data barang. Abstract. Information System for Data Collection of Goods in Grocery Stores is an important information system to make it easier for grocery store owners to collect data on goods in their stores. The process of collecting data on goods at the Mak Ti grocery store will use a website-based information system. This Information System product is the result of a partnership program between Unusa Lecturers and Students and their partner, namely the Mak Ti Grocery Shop Owner. This community partnership program is a form of higher education tridhrama, namely community service. This partnership program will continue with the stages that have been planned. With this goods data collection information system, it is able to provide good effectiveness in making the goods data collection process faster and more efficient.

IMPLEMENTASI MACHINE LEARNING DALAM MANAJEMEN BISNIS DAN EKONOMI DI INSTITUTE OF TECHNOLOGY MANAGEMENT DAN ENTREPRENEURSHIP, UNIVERSITI TEKNIKAL MALAYSIA MELAKA Kurniastuti, Ima; Herlambang, Teguh; Yudianto, Firman; Fauji, Awwalinnisa; Halili, Muhammad
Jurnal Pengembangan Masyarakat Lokal Vol. 8 No. 1 (2025): Jurnal Pengembangan Masyarakat Lokal
Publisher : LPPM Universitas Samawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58406/jpml.v8i1.1965

Perkembangan teknologi kecerdasan buatan, khususnya machine learning, telah memberikan dampak yang signifikan dalam bidang manajemen bisnis dan ekonomi. Di Institute of Technology Management and Entrepreneurship (IPTK), Universiti Teknikal Malaysia Melaka, teknologi ini mulai diperkenalkan kepada komunitas akademik melalui program pengabdian kepada masyarakat. Kegiatan ini bertujuan untuk meningkatkan pemahaman dan keterampilan peserta dalam menerapkan machine learning untuk pengambilan keputusan bisnis berbasis data. Melalui kegiatan sosialisasi dan pelatihan interaktif, peserta diperkenalkan pada konsep dasar machine learning, penggunaan algoritma sederhana, serta implementasinya dalam konteks bisnis. Selain itu, dikembangkan pula modul pelatihan sebagai panduan praktis agar peserta dapat menerapkan materi secara mandiri. Evaluasi kegiatan menunjukkan bahwa sebagian besar peserta merasa terbantu dan menunjukkan antusiasme tinggi, meskipun beberapa masih memerlukan pendampingan lanjutan. Hasil ini menunjukkan bahwa penerapan machine learning dalam pendidikan bisnis sangat efektif dalam mendorong literasi teknologi dan kesiapan menghadapi era ekonomi digital. Seluruh luaran yang ditargetkan telah tercapai sesuai dengan rencana

Analysis and Forecasting of PT. Bank Rakyat Indonesia (BRI) Stock Price After Covid-19 using Multiple Linear Regression Method Arief, M. Romli; Herlambang, Teguh
Zeta - Math Journal Vol 10 No 1 (2025): May
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2025.10.1.61-69

The Covid-19 pandemic that has occurred for approximately two years since 2020 in Indonesia has had a tremendous impact on the domestic economy. The impact is felt by many sectors, including the banking sector. In the banking sector, the economic downturn is also felt by investors, especially stock investors. Due to fluctuating stock price conditions, it also increases the number of uncertainties. This needs to be taken seriously by business people in the banking sector and investors so that companies are still able to operate in the midst of post-pandemic conditions. In times of crisis like today, investors, especially stock investors, have begun to adapt to the development of stock prices by taking an approach using advances in information technology. Updates from the field of information technology such as the use of machine learning with a technical approach or forecasting method have now begun to be utilized. This study aims to Analyze and forecast the closing price of shares of PT Bank Rakyat Indonesia Tbk using the Multiple Linear Regression method using reference stock data before and after covid-19 with a time span between 2018 and 2022. The forecasting results produced an RMSE value of 0.0256 in the condition of 90% training data and 10% test data.

MISSILE POSITION ESTIMATION USING UNSCENTED KALMAN FILTER Herlambang, Teguh; Subchan, Subchan
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Missiles are military rocket weapons having an automatic control system to locate its targets or adjust its direction. Indonesia itself, which is a country of archipelago, covers air area of its largest territory, followed by sea area and land area. Logically, the existence of missile defense equipment (the main weapon system) or precisely the type of long-range missile is acceptable to support the defense and security of the Republic of Indonesia, but its consequences to be operated in the territory of Indonesia itself, in case of an occufanct of an error in targeting the target, will fall on of harm to its own national territory. Therefore, trajectory estimation for guided missiles is the basic requirement for guided missiles to be aimed at the precise targets. The trajectory is used as a guide to direct that the missile reach the target by following the given path. To maintain the accuracy of the trajectory continuously, the missile trajectory estimation was made by using Unscented Kalman Filter (UKF) Algorithm. This algorithm was used to estimate nonlinear dynamic models The simulation results showed that the UKF method was effective, showing the accuracy of 97% by the UKF method

DEVELOPING DESIGN OF AUTOMATIC EGG QUALITY DETECTOR USING ROI AND RGB TEMPLATE METHODS Herlambang, Teguh; Suryowinoto, Andy; Zakaria, Moch; Tomasouw, Berny Pebo
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

The eggs of purebred chickens always become the major choice for satisfying people’s needs for nutrients. The way to process them is easy, and the prices are relatively cheap for all people. Since the eggs of purebred chickens are in high demand, a device that can detect their qualities more correctly and accurately is needed, compared to the conventional method. Objective: An automatic egg quality detector was developed through a camera module of pixy cmucam5 by employing ROI and template RGB methods. The implementation of the ROI method could optimize the system performance, thereby accelerating the process of egg quality detection carried out by the preprocessor of the pixy camera. ROI analyzed the egg image only on the desired pixel area, not the whole pixel. As a result, the ROI method yielded a device and system that could detect the egg quality within the average speed of detection time -/+ 2ms per egg out of 4 trial categories. Meanwhile, the template RGB method was able to improve and ease the ability of the pixy camera module in detecting the egg quality. When the RGB index of the egg was < 234, then the egg was of good quality. Contrarily, when the RGB index of the egg was > 234, the egg quality was in a bad category. The contribution of this paper is to develop a low-cost automatic egg sorting and detection system with the advantages of flexibility in device placement, due to the use of camera modules and object detection accuracy, as well as better response time than using color sensors. Accordingly, the template RGB method produced a device and system which could detect egg quality with average accuracy of 90 % and average error of 10% out of 4 trial categories. And, the results of the trials upon the detector system indicated success in detecting the egg quality.

DESIGN OF ROV STRAIGHT MOTION CONTROL USING PROPORTIONAL SLIDING MODE CONTROL METHOD Yudianto, Firman; Herlambang, Teguh; Susanto, Fajar Annas; Suryowinoto, Andy; Tomasouw, Berny Pebo
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 3 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

The development of underwater defense technology is commonly related to its usage for security and defense of a country. The need of NKRI (the Republic of Indonesia) for an applicable and multifunctional technology for highly improved unmanned submarines is urgent considering the current necessity of unmanned technology modernization functioning as The Main Weapon System Equipments (ALUTSISTA) to be applied as a spy technology or automatic weapon. This paper focus is on a motion control system design with the motion equation of 2 Degree of Freedom (DOF) applied to an unmanned submarine system or also called a Remote Operated Vehicle (ROV). ROV requires a control system to control its maneuvering motion when underwater, especially in a straight line motion. The ROV motion equation of 2-DOF consisting of surge and roll motions is in the form of a nonlinear equation. The system control design applied to the ROV system used the Proportional Controller method combined with Sliding Mode Control. The simulation results of the Proportional SMC control system with the motion equation of 2-DOF on the ROV system show that the system is stable with an accuracy of surge and roll motions of 95% - 99%.

ESTIMATION OF THIRD FINGER MOTION USING ENSEMBLE KALMAN FILTER Herlambang, Teguh; Nurhadi, Hendro; Muhith, Abdul; Rahmalia, Dinita; Tomasouw, Berny Pebo
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 3 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Post-stroke is a stage a patient undergoes if the patient has had a previous stroke. Stroke is a big and serious problem. As the second most common cause of disability of people at age of over 60 years. For patients having experienced a stroke, rehabilitation is a way to make them able to do activities of daily living as before. Stroke Rehabilitation is a comprehensive medical management and rehabilitation (in medical, emotional, social, and vocational aspects) concerning disabilities caused by stroke through a neuro-rehabilitation approach with the aim of optimizing recovery. The finger prosthetic arm robot is one of the results of the health technology development to help accelerate the rehabilitation process specifically for finger movements. One of the efforts to develop a finger robot is to estimate the movement of the fingers, in this case the finger size used is taken from those of Javanese people in Indonesia as the data to be simulated. In this paper is an estimation of the finger motion,particularly that of the third finger of the right hand, conducted using the Ensemble Kalman Filter (EnKF) method. The simulation results produced the third finger motion estimates with an accuracy of around 92% - 99%.

DIVING MOTION ESTIMATION OF REMOTELY OPERATED VEHICLE USING ENSEMBLE KALMAN FILTER AND H-INFINITY Herlambang, Teguh; Suryowinoto, Andy; Adrianto, Dian; Rahmalia, Dinita; Nurhadi, Hendro
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

ROV (Remotely Operated Vehicle) is a product of technological development, functioning to perform tasks in the water. Big tasks such as coral reef exploration, oil refineries, underwater monitoring, and sea accident rescue are carried out by such technology. ROV or unmanned submarines have 6 degrees of freedom, but for diving it requires only 3 movements, that is, surge, heave, and pitch motions. In its operation, the ROV requires a navigation system in the form of estimation of the ROV position under diving conditions. In this study, two methods were used to estimate the ROV position under diving conditions, that is, the H-infinity method and the Ensemble Kalman Filter (EnKF). Both methods proved reliable on other platforms. The simulation results in this study showed that the EnKF method was more accurate than the H-Infinity method. The H-Infinity method had an accuracy of around 87%, while the EnKF method reached an accurate of 99 %.

COMPARISON OF H-INFINITY AND ENSEMBLE KALMAN FILTER FOR ESTIMATING MOTION OF MIDDLE FINGER Herlambang, Teguh; Nurhadi, Hendro; Susanto, Fajar Annas; Tomasouw, Berny Pebo
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp2433-2442

Upper extremity paresis is a condition in which a person experiences muscle weakness in one or both hands. This condition can cause impairment in motor function, hinder daily activities, and affect the life quality of the sufferer. In some cases, paresis can result from nerve injury, neurological disease, or an accident. To help improve the life quality of the sufferer experiencing upper extremity paresis, the development of the Finger Prosthetic Arm Robot, an assistive robotic hand designed to provide assistance in the movement of the finger experiencing paresis, is required. This technology aims to restore its functional ability and the independence of the patient in performing daily activities, such as picking up objects, grasping, and performing other precise movements. The main purpose of this paper, the researcher compared two methods to estimate the motion of the middle finger robot, that is, the H-infinity method and the Ensemble Kalman Filter (EnKF) method. The simulation results show that both methods had almost the same accuracy, and the simulation by generating 800 ensembles was more accurate than that by generating 400 ensembles with an accuracy difference of about 10% above the accuracy rate of 98%.

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 Arief, Mochammad Romli Arof, Hamzah Asy'ari, Vaizal Asy’ari, Vaizal Authar, Nailul Azmi Khulama Devi Azmi, Mohd Sanusi 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 Rijal Iskandar Zhulqurnain 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 Othman, Zuraini Binti 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

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