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Diseminasi Kumbung Jamur Tiram dan Alat Pengontrol Kelembapan Otomatis pada Kelompok Tani Jempolan Surabaya Purnomo, Adi Setyo; Nurhadi, Hendro; Hakim, Muhammad Lukman; Putro, Herdayanto Sulistyo; Putra, Surya Rosa; Fatmawati, Sri; Rohmah, Alya Awinatul; Pratama, Silvia Abdi; Khoiriyah, Nur; Widhayanti, Nur Ari; Octaviani, Wulan Nur; Wiyono, Suryo; Pratiwi, Tasya Resa; Halimah, Adedila; Iman, Muhammad Ilham Nur; Indrapaksi, Tengku Ikhwan Alfajri; Fazad, M. Haikhal; Mufidah, Iftin Farekana
Sewagati Vol 8 No 2 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i2.902

Abstract

Jamur tiram (Pleorotus ostreatus) merupakan jenis jamur yang banyak dikonsumsi dan permintaannya sedang meningkat. Kelompok Tani Jempolan yang berada di Kel. Lontar, Sambikerep, Surabaya sudah sejak lama memproduksi jamur tiram. Dalam pertumbuhannya, jamur ini memerlukan perawatan yang khusus, dimana media dan lingkungannya harus ideal supaya pertumbuhan jamur maksimal. Penyediaan kumbung sebagai media pertumbuhan jamur merupakan faktor yang penting. Akan tetapi, kumbung jamur kelompok tani jamur Jempolan sendiri masih dinilai belum memenuhi standar, dimana kondisi kumbung menggunakan rangka kayu dan bambu sudah mulai rapuh dan tidak layak. Selain itu juga muncul kesulitan para petani jamur untuk menghitung kelembaban kumbung jamur. Hal tersebut menyebabkan keadaan kumbung jamur yang seharusnya memiliki kelembaban konstan menjadi tidak teratur kelembabannya yang berdampak pada terkontaminasinya baglog oleh bakteri lain dan mengakibatkan kegagalan panen. Tim Abmas ITS telah membuat diseminasi kumbung jamur dan alat pengontrol kelembaban sehingga mampu menontrol kelembaban kumbung dengan baik. Alat tersebut telah menggunakan prinsip autosensor yang mampu menyemprotkan air sesuai kondisi kelembaban kumbung jamur secara efektif dan efisien. Tim telah melakukan serah terima kumbung jamur dan alat pengontrol kelembaban kepada mitra yang dapat memberikan dampak optimasi yang signifikan terhadap peningkatan kualitas dan kuantitas produksi jamur tiram. Kegiatan ini diharap dapat menyempurnakan budidaya jamur tiram mitra.
Comparison of AUV Position Estimation Using Kalman Filter, Ensemble Kalman Filter and Fuzzy Kalman Filter Algorithm in the Specified Trajectories Ngatini, Ngatini; Apriliani, Erna; Nurhadi, Hendro
InPrime: Indonesian Journal of Pure and Applied Mathematics Vol 4, No 1 (2022)
Publisher : Department of Mathematics, Faculty of Sciences and Technology, UIN Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/inprime.v4i1.22912

Abstract

This research explains a comparison estimation for AUV position using Kalman Filter (KF), Ensemble Kalman Filter (EnKF), and Fuzzy Kalman Filter (FKF) algorithm in some specified trajectories. Estimation is developed for AUV Segorogeni ITS which was built by the Institute Technology of Sepuluh Nopember (ITS), Indonesia. The specified trajectories are the diving, straight, and turning path which is the real trajectories. We compare the result estimation for each of the trajectories from the simulation and the RMSE (Root Mean Square Error). In this case, the best estimation is given by the difference estimation method. Fuzzy Kalman Filter gives the best result for the diving trajectory (Y-position and angle) and the straight trajectory. Ensemble Kalman Filter (EnKF) gives the best result for the X-position in the diving trajectory. While Kalman Filter gives the best result for the straight trajectory.Keywords: AUV; Kalman Filter (KF); Ensemble Kalman Filter (EnKF); Fuzzy Kalman Filter (FKF); AUV Segorogeni ITS. AbstrakPenelitian ini menjelaskan tentang perbandingan estimasi untuk posisi AUV antara algoritma Kalman Filter (KF), Ensemble Kalman Filter (EnKF) dan Fuzzy Kalman Filter (FKF) untuk trayektori tertentu. Estimasi dilakukan terhadap AUV Segorogeni ITS yang dibuat oleh ITS (Institut Teknologi Sepuluh Nopember), Indonesia. Trayektori yang diberikan adalah menyelam, lurus dan lintasan membelok yang merupakan lintasan real. Peneliti melakukan perbandingan untuk setiap lintasan berdasarkan hasil simulasi dan Root Mean Square Error (RMSE). Pada kasus ini estimasi terbaik diberikan oleh metode yang berbeda. Fuzzy Kalman Filter memberikan hasil terbaik untuk lintasan berbelok pada posisi-Y dan pada garis lurus. Ensemble Kalman Filter memberikan estimasi terbaik untuk posisi-X pada lintasan menyelam. Sedangkan Kalman Filter memberikan hasil terbaik untuk lintasan lurus.Kata kunci: AUV; Kalman Filter (KF); Ensemble Kalman Filter (EnKF); Fuzzy Kalman Filter (FKF); AUV Segorogeni ITS.
Prediksi Produksi Kelapa di Kabupaten Banyuwangi Dengan Algoritma Neural Network Herlambang, Teguh; Nurhadi, Hendro; Ermavitalini, Dini; Huda, Miftahul; Oktavianto, Lucky; Saputro, Triono Bagus; Arief, M. Romli
Zeta - Math Journal Vol 9 No 2 (2024): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.2.90-96

Abstract

Salah satu daerah penghasil kelapa terbesar di Indonesia adalah Banyuwangi, yang terletak di ujung timur Pulau Jawa. Perkebunan kelapa di Banyuwangi tidak hanya meningkatkan pendapatan petani, tetapi juga memajukan industri pengolahan lokal. Banyuwangi memiliki area potensial yang akan membantu pertumbuhan bisnis kelapa dan agroindustri lainnya. Potensi budidaya kelapa tersebar di berbagai wilayah Banyuwangi, dengan beberapa kecamatan yang menonjol dalam hal produksi dan pengolahan kelapa. Banyuwangi juga memiliki tanah yang subur, iklim yang mendukung, dan sumber daya manusia yang berpengalaman dalam budidaya kelapa Tujuan dari penelitian ini adalah untuk meramalkan produksi kelapa di Kabupaten Banyuwangi dan memberikan informasi yang akurat tentang perkiraan jumlah produksi di masa depan. Diharapkan hasil ini akan membantu petani dan pemangku kebijakan membuat keputusan yang tepat tentang manajemen produksi, distribusi, dan pengembangan industri kelapa di daerah tersebut untuk meningkatkan keberlanjutan, keuntungan, dan efisiensi. Pada penelitian ini menggunakan algoritma Neural Network guna menunjukkan kinerja terbaik pada pengujian dengan pembagian data pelatihan (Tr) sebesar 70%, 80%, dan 90%, serta data pengujian (Ts) sebesar 30%, 20%, dan 10%. Hasil pada implementasi algoritma Neural Network sebagai peramalan produksi kelapa pada banyuwangi menghasilkan RMSE berturut-turut sebesar 0,039, 0,036, dan 0,036.
Analisis Pengaruh Social Agile Practice dan Technical Agile Practice untuk Meningkatkan Team Performance pada Perusahaan Rintisan Bidang Teknologi Informasi Setiawan, Gede Wisnu; Nurhadi, Hendro; Widodo, Erwin
Jurnal Ilmiah Universitas Batanghari Jambi Vol 25, No 2 (2025): Juli
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v25i2.6061

Abstract

This study aims to analyze the influence of social agile practices and technical agile practices on team performance in the engineering division of an information technology startup. This study used a quantitative approach involving 96 employees as respondents. Data were collected through a questionnaire using three measuring instruments: the teamwork competency scale (TCS), the social agile practice scale, and the technical agile practice scale. Data analysis was performed using structural equation modeling (SEM) based on Partial Least Squares (PLS). The results showed that social agile practices had a significant influence on team performance. However, technical agile practices did not have a significant influence on team performance in an information technology startup.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (460.243 KB) | DOI: 10.30598/barekengvol16iss3pp1079-1086

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (423.202 KB) | DOI: 10.30598/barekengvol17iss1pp0095-0100

Abstract

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

Abstract

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%.
CALCULATION AND OPTIMIZATION OF FORCE AND POWER ON AUTONOMOUS SURFACE VEHICLE (ASV) AS MEANS OF MARINE ACCIDENT RESCUE Herlambang, Teguh; Nurhadi, Hendro
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0361-0372

Abstract

The strategic regional position makes Indonesia a world transportation crossing route with various modes of transportation through Indonesian territory to reach other islands, countries, or even continents. For this reason, a solution is needed to reduce the number of fatalities and injuries due to ship accidents that may occur. By reducing the evacuation time to a minimum, it will be possible to minimize the number of casualties and injuries if the ship has an accident. Considering that, in terms of usability and benefits, the Autonomous Surface Vehicle (ASV) can be an alternative as a form of Search and Rescue (SAR) ship. Based on the results of the ASV Ship design that suits these needs, a force and power analysis was carried out in accordance with the applicable theory. Of the 2 designs with a monohull shape and with different hull variations, with the main dimensions of the ASV Sang Nagari (LH=4.55 m, LWL=4.348 m, B=1.272 m, D=0.804 m T=0.45 m) and ASV Sang Nadibumi (LH=4.55 m, LWL=4.311 m, B=1.352 m, D= 0.802 m, T=0.4 m) obtained a displacement of 1.063 tons and a resistance of 1 kN for ASV Sang Nagari and 1.202 tons and a resistance of 2.6 kN for ASV Sang Nadibumi at a standard speed of 10 knots. Based on the results of the force analysis, it is concluded that the two ASVs have 2 forces in static conditions, that is, weight force and upward lift force (FBouyant). Based on the results of the efficiency of ASV Sang Nagari has a higher efficiency of 0.002% with 56.422% than ASV Sang Nadibumi with 56.420%.. The ASV linear model made from linearization has the properties of a controllable and observable, so this model can be applied to navigation and control systems.
PID PATH FOLLOWING CONTROL SYSTEM DESIGN ON UNMANNED AUTONOMOUS FORKLIFT PROTOTYPE Herlambang, Teguh; Indriawati, Katherin; Akbar, Reza Maliki; Nurhadi, Hendro
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2093-2112

Abstract

One of the technologies often used in material handling and material transport is forklift. Conventionally forklifts are operated by human operators. For efficiency, to improve security, safety, and occupational health and to minimize the risk of operators, forklifts can be automated. Therefore, the idea of unmanned autonomous forklift innovation was introduced. In this final project, a motion control system was designed for an unmanned autonomous forklift prototype both in simulation and hardware using PID control techniques, and the odometry system was equipped with a rotary encoder. In the simulation, the controlled variable was the distance and the manipulated variable was the force on the vehicle. Meanwhile, in the prototype, the controlled variable was distance and the manipulated variable was the motor pulse. In the simulation stage the PID control parameters were applied . with an error of 0.32% in the simulation. The PID control parameters were applied to the prototype, that is, . The distance tests were done with variation of 50 cm to 200 cm (25 cm intervals). One variation of the distance experiment was done 5 times. The average absolute error resulted was 2.36 cm.
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Muhith Adi Setyo Purnomo Adrianto, Dian Ahadiyat Luhung Jati Akbar, Reza Maliki Alvin Oktaviantara Dwi Putra Alya Awinatul Rohmah Andy Suryowinoto Ardi Dara Yuda Arief, M. Romli Arif Wahjudi Arif Wahyudi Aristo Ramadhani Asranudin Asranudin Asranudin Badzlin Nabila Badzlin Nabilah Billy Ekaputra Citra ‘Aaqilatul Fa’aidah Dedy Zulhidayat Noor Diah Trisna Rahayu Lestari Didik Prasetyoko Diecky Adzkiya Dieky Adzkiya Dimas Kunto Ariwibowo Dini Ermavitalini Dinita Rahmalia, Dinita Djohana Tri Lois Moyo Djoko Kuswanto Eka Pratiwi Yuniarti Erna Apriliani Erwin Widodo Fazad, M. Haikhal Halimah, Adedila Hamdan Dwi Rizqi Hanifah Zaizafun Losu Herdayanto Sulistyo Putro Heru Mirmanto Imam Wahyudi Iman, Muhammad Ilham Nur Indrapaksi, Tengku Ikhwan Alfajri Irhamah Jati, Ahadiyat Luhung Karina Harley Aulia Rizky Katherin Indriawati Laudy Nasya Yanuar Lavida Aisya Salvanora Lea Kristina Anggraeni Mashuri Mashuri Mayga Kiki Miftahul Huda Mochammad Iqbal Asskhaaf Mufidah, Iftin Farekana Muhammad Lukman Hakim Muhammad Lukman Hakim, Muhammad Lukman Muntari Muntari Ngatini Ngatini Ngatini, Ngatini Noor, Dedy Zulhidayat Nourma Sulistyowati Novia Nurul Hidayah Nur Aini Rakhmawati Nur Khoiriyah Nur Muhammad Adi Yahya Octaviani, Wulan Nur Oktavianto, Lucky Prasetiyo, Sandro Pratama, Silvia Abdi Pratiwi, Tasya Resa Putro, Herdayanto Sulistyo Refdinal Nawfa Riska Aprilia Rohmah, Alya Awinatul Sandro Prasetiyo Setiawan, Gede Wisnu SRI FATMAWATI Sri Fatmawati Subchan Subchan Subchan Subchan Subchan, Subchan Surya Rosa Putra Surya Rosa Putra, Surya Rosa Suryo Wiyono Susanto, Fajar Annas Taufiq Rinda Alkas Teguh Herlambang Tomasouw, Berny Pebo Triono Bagus Saputro, Triono Bagus Widhayanti, Nur Ari Widi Muranata Wisnu Wardhana Yuda, Ardi Dara Yunita Alfiyati Firdausa Zahra Salsabila