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All Journal WARTA JMPM (Jurnal Material dan Proses Manufaktur) Turbo : Jurnal Program Studi Teknik Mesin Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Journal of Robotics and Control (JRC) Journal of Community Service and Empowerment
Berli Paripurna Kamiel
Universitas Muhammadiyah Yogyakarta
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering Social Sciences Other

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Mendorong Ekonomi Kreatif Melalui Produk Ecoprint Melalui Pemanfaatan Potensi Alam di Dukuh Glugo Bantul Endah Saptutyningsih; Berli Paripurna Kamiel
WARTA LPM WARTA LPM, Vol. 24, No. 1, Januari 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/warta.v24i1.11081

Abstract

Dalam rangka mendukung program pemerintah untuk mendorong ekonomi kreatif, perlu adanya kreativitas dan peningkatan kapasitas masyarakat dengan memanfaatkan potensi yang ada di lingkungan sekitar. Tujuan Program Kemitraan Masyarakat (PKM) ini adalah untuk memanfaatkan potensi alami yang belum dimanfaatkan dengan baik dan masih rendahnya pengetahuan dan ketrampilan untuk mengelola potensi tersebut di Sorowajan, Dukuh Glugo, Desa Panggungharjo Sewon Bantul, Daerah Istimewa Yogyakarta. Kontribusi PKM ini adalah dengan mengadakan pelatihan pembuatan ecoprint yang memanfaatkan potensi alam yang ada di lingkungan Sorowajan, Dukuh Glugo. Objek PKM ini adalah ibu-ibu Kelompok Dasawisma Lili dan Dasawisma Kenanga di Sorowajan, Dukuh Glugo sehingga mereka dapat meningkatkan taraf hidup masyarakat melalui pengembangan ekonomi kreatif. Metode PKM berupa pelatihan pembuatan ecoprint dengan bahan pewarna alam dan pelatihan pemasaran agar ecoprint yang dihasilkan dapat dipasarkan ke masyarakat luas. Kegiatan ini dapat berjalan dengan baik dan meningkatkan pengetahuan Kelompok Dasawisma Lili dan Dasawisma Kenanga tentang ecoprint dari 34,3% menjadi 97,2%. Seluruh peserta merasakan manfaat pelatihan ecoprint tersebut. Demikian juga terjadi peningkatan pengetahuan tentang pemasaran online, dan sebanyak 68% ingin memasarkan produk ecoprint-nya melalui media online. Luaran PKM ini adalah peningkatan kapasitas Kelompok Dasawisma Lili dan Dasawisma Kenanga di Dukuh Glugo dalam membuat ecoprint kelompok; video teknik pembuatan ecoprint yang bisa dinikmati oleh masyarakat umum. Kegiatan PKM ini juga dipublikasikan di jurnal nasional ber-ISSN yang diharapkan dapat menjadi acuan bagi kelompok masyarakat lain dalam mendorong ekonomi kreatif melalui peningkatan kapasitas masyarakat dengan memanfaatkan potensi desa sehingga meningkatkan kesejahteraan masyarakat.
Deteksi kavitasi menggunakan linear discriminant analysis pada pompa sentrifugal Berli Paripurna Kamiel; Yusuf Ahmad; Krisdiyanto Krisdiyanto
TURBO [Tulisan Riset Berbasis Online] Vol 9, No 2 (2020): Jurnal Turbo Desember 2020
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/trb.v9i2.1326

Abstract

Cavitation is a phenomenon that often occurs in the centrifugal pumps. The impact of cavitation is a decrease in pump performance which will affect the ongoing production process in the industries. It is important to have a method to detect the phenomenon of cavitation early. The vibration signal is a parameter that is often used in detecting cavitation or other faulty components. One of the methods is based on the pattern recognition i.e. machine learning. Linear Discriminant Analysis (LDA) is a machine learning algorithm that has the advantage of reducing the parameters used into low dimensions without reducing the accuracy of their classification. The study proposes LDA to classify normal conditions, initial cavitation, intermediate cavitation and severe cavitation. The recording of the vibration signal is taken using the an accelerometer mounted on the inlet of the centrifugal pump. The vibration signal is then extracted using 10 statistic parameters of time domain as the LDA feature selection, namely mean, RMS, standard deviation, kurtosis, skewness, crest factor, clearance factor, shape factor, variance and peak value. The results shows that the LDA classifier can detect and classify cavitation conditions with an accuracy rate of 98.8% on training and 99.6% on testing. The shape factor, kurtosis, skewness and RMS parameters are a combination of parameters that have a large contribution to the classifier to detect and classify cavitation conditions.Keywords: Linear Discriminant Analysis (LDA), cavitation, centrifugal pump, statistical parameter
PENINGKATAN PEREKONOMIAN KAMPUNG TOGA MELALUI MEKANISASI PRODUKSI MEDIA TANAM Berli Paripurna Kamiel; Endah Saptutyningsih
Jurnal Pengabdian Pada Masyarakat MEMBANGUN NEGERI Vol 5 No 1 (2021): Jurnal Pengabdian Kepada Masyarakat Membangun Negeri
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35326/pkm.v5i1.1013

Abstract

Permasalahan yang ditemukan di Kampung TOGA Padukuhan Pereng Dawe, Balecatur,Gamping Sleman adalah sebagian besar warga masyarakatnya belum memanfaatkan potensialam dan limbah ternak yang dapat digunakan untuk media tanam tanaman obat keluarga(TOGA). Terdapat beberapa warga yang telah memanfaatkan TOGA untuk membuat jamu.Untuk meningkatkan produksi TOGA, sebagian warga telah membuat pupuk secaratradisional dan membeli pupuk dari luar. Dengan adanya program kampung TOGA tersebut,nantinya warga dapat menjual semua produk dari bokasi/media tanam sampai pengolahanproduk turunannya. Hal ini secara tidak langsung dapat meningkatkan perekonomianmasyarakat. Program Kemitraan Masyarakat ini bermitra dengan kelompok masyarakat yangada di Kampung TOGA yaitu kelompok MK_Smart untuk memberikan solusi denganmemanfaatkan potensi alam dan ternak yang dimiliki Padukuhan Pereng Dawe. Hal tersebutdilakukan melalui mekanisasi proses produksi media tanam sehingga produksi TOGA bisameningkat dan warga mampu menciptakan ekonomi kreatif dengan memanfaatkan potensialam dan limbah ternak dipadukuhannya. Program ini berupa penyuluhan pembuatan mediatanam dengan memanfaatkan potensi alam dan limbah ternak yang ada di lingkunganPadukuhan Pereng Dawe. Selain itu, diadakan penyuluhan tentang pemasaran online agarmasyarakat dapat memasarkan produknya secara luas. Hal ini bertujuan memberikan manfaatlangsung terhadap kehidupan masyarakat di bidang sosial dan ekonomi melalui ekonomikreatif serta meningkatkan kualitas sumberdaya melalui pemberdayaan kelompok masyarakatMK_Smart di Padukuhan Pereng Dawe. Luaran yang ditargetkan adalah peningkatankapasitas kelompok masyarakat MK_Smart dalam membuat media tanam. Kegiatan ini jugadiharapkan dapat menjadi acuan bagi kelompok masyarakat lain dalam meningkatkankapasitas masyarakat melalui pemanfaatan potensi alam dan meningkatkan perekonomianmasyarakat melalui ekonomi kreatif.
Pengembangan Metode Deteksi Cacat Bantalan Berbasis Analisis Envelope pada Prototipe Fan Industri Berli Paripurna Kamiel; Adib Muhammad Nuh; Sudarisman Sudarisman
JMPM (Jurnal Material dan Proses Manufaktur) Vol 2, No 1 (2018): Juni
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmpm.2118

Abstract

 This paper examines the spectrum and envelope spectrum for detection of ball bearing fault using vibration signals taken from a prototype of industrial fan. It presents a procedure to detect fault on the outer and inner race of roller bearing. Three conditions of ball bearing i.e., normal, outer race fault and inner race fault is tested. The artificial fault on the bearing is 2 mm depth and 0,7 mm width. The vibration signals are taken by using an accelerometer mounted on the vertical-radial direction of bearing pillow block. The waveforms are then transformed into spectrum and envelope spectrum. The differences between spectrum and envelope spectrum for both types of faults are analyzed and discussed. The paper explains the effect of amplitude modulation (AM) on the inner race fault to the spectrum and envelope spectrum. The discussion about the ability of spectrum and envelope spectrum for bearing fault detection is presented and compared in detail. The results show that spectrum has good ability for fault detection since it gives clear and high amplitude of bearing fault frequencies. However the spectrum often fails when the size of fault is relatively small, in this case the envelope spectrum gives better results.
Vibration-Based Discriminant Analysis for Pipeline Leaks Detection Berli Paripurna Kamiel; Indra Rukmana
JMPM (Jurnal Material dan Proses Manufaktur) Vol 6, No 2 (2022): Desember
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmpm.v6i2.16185

Abstract

Pipelines are useful for transporting liquids from one place to another. The main problem that often occurs in pipelines is leakage which results in production and financial losses. The importance of detecting pipeline leaks makes the industries look for effective detection methods to avoid bigger losses. Several previous studies have proven that the vibration-based method is successful in detecting leaks in pipelines. However, the vibration-based method used in the previous study is relatively complicated and requires specialists to interpret the results. This study proposes a machine learning-based detection method that can classify pipe conditions directly without the help of a specialist. The proposed method is vibration-based discriminant analysis; a machine learning algorithm that recognizes pipeline conditions from their vibration pattern instead of spectrum. The proposed method was tested on a test rig consisting of a closed-loop pipeline equipped with a leak-pipe test segment. The vibration signal is taken using an accelerometer placed on the leak-pipe test segment. Time domain vibration data is extracted using several statistical parameters which aims to reveal information related to pipe conditions. The vibration data collected is divided into two groups, namely training-data and testing-data. The discriminant analysis model is trained to recognize the vibration pattern of the pipeline using training-data and then tested using testing-data. There are four leak sizes introduced in this study, small, medium, and large. Meanwhile, normal condition (no leaks) is used as benchmarking. The study shows that the proposed method is effective in classifying four pipe conditions with the accuracy up to 95%.
Optimizing the potential of the river through the “merti kali” program to support the sustainable communities Endah Saptutyningsih; Berli Paripurna Kamiel; Dimas Putro Nugroho; Ferry Armansyah
Journal of Community Service and Empowerment Vol. 4 No. 1 (2023): April
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jcse.v4i1.24524

Abstract

The development of digital technology and virtual reality has also given birth to virtual tourism innovations that have an impact on increasing the community's economy through training. This program is carried out to create virtual tourist villages, especially based on virtual tourism batik, so that batik craftsmen have more time to promote their products and the tourist aspect. The virtual tour-based batik village aims to empower the batik artisan community to be more active in utilizing digital application platforms to market their products and produce practical applications for marketing. This digital application makes it easier for buyers to find out the promotions being carried out by Bekasi batik by utilizing gadgets and taking advantage of the digital world. The training method uses a case study approach, discussion, lecture, and ends with a training evaluation. The results of the study are based on the evaluation results of the user experience of batik craftsmen in the city of Bekasi, out of 50 respondents it is found that 55% strongly agree that training materials and virtual tour systems that are socialized are easy to access, can develop digital villages based on web virtual tours and as a forum for batik promotion Bekasi city. In the aspect of achieving the goals of the Bekasi city batik craftsmen participants, out of 50 respondents the result was that 65% strongly agreed that the learning objectives of the training and virtual tour system met the expectations of the respondents. It is the hope of the training participants that the problem of marketing the virtual tour system will be a solution to expand the marketing of batik in the City of Bekasi.
Development of Speech Command Control Based TinyML System for Post-Stroke Dysarthria Therapy Device Bambang Riyanta; Henry Ardian Irianta; Berli Paripurna Kamiel
Journal of Robotics and Control (JRC) Vol 4, No 4 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i4.15918

Abstract

Post-stroke dysarthria (PSD) is a widespread outcome of a stroke. To help in the objective evaluation of dysarthria, the development of pathological voice recognition and technology has a lot of attention. Soft robotics therapy devices have been received as an alternative rehabilitation and hand grasp assistance for improving activity daily living (ADL). Despite the significant progress in this field, most soft robotic therapy devices use a complex, bulky, lack of pathological voice recognition model, large computational power, and stationary controller. This study aims to develop a portable wirelessly multi-controller with a simulated dysarthric vowel speech in Bahasa Indonesia and non-dysarthric micro speech recognition, using tiny machine learning (TinyMl) system for hardware efficiency. The speech interface using INMP441, compute with a lightweight Deep Convolutional Neural network (DCNN) design and embedded into ESP-32. Feature model using Short Time Fourier Transform (STFT) and fed into CNN. This method has proven useful in micro-speech recognition with low computational power in both speech scenarios with a level of accuracy above 90%. Realtime inference performance on ESP-32 using hand prosthetics, with 3-level household noise intensity respectively 24db,42db, and 62db, and has respectively resulted from 95%, 85%, and 50% Accuracy. Wireless connectivity success rate with both controllers is around 0.2 - 0.5 ms.
Co-Authors Adib Muhammad Nuh Bambang Riyanta Dimas Putro Nugroho Endah Saptutyningsih Ferry Armansyah Henry Ardian Irianta Indra Rukmana Krisdiyanto, Krisdiyanto Sudarisman . Yusuf Ahmad