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Analisa Korosi Atap Aluminium Tipe Kulit Jeruk Tebal 0,8 mm Bambang Riyanta; Ade Rahmatullah
Semesta Teknika Vol 8, No 1 (2005): MEI 2005
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v8i1.911

ABSTRACTPenelitian ini dilakukan untuk mengetahui kasus rusaknya atap plat aluminium gelombang tipe kulit jeruk dengan ketebalan 0,80 mm yang dipesan PT. Amann Jaya di Teluk Betung Selatan Lampung dari PT. Alka Jaya di Jakarta, Plat aluminium tersebut mengalami kerusakan yaitu timbulnya bercak abu-abu kehitaman yang diduga rusak dikarenakan tutup plastik robek sehingga basah oleh air hujan pada waktu pengiriman melalui cargo darat. Oleh karena itu diadakan beberapa pengujian untuk mengetahui timbulnya kerusakan yang terjadi pada pelat aluminium tersebut, pengujian yang dilakukan diantaranya adalah uji komposisi kimia, uji struktur mikro,uji visual, uji fraktografi, dan uji kelembaban. Setelah diadakan beberapa penelitian diatas dapat diketahui bahwa Jenis korosi yang terjadi adalah korosi sumuran . Plat aluminium tidak rusak karena air hujan pada waktu pengiriman melalui cargo darat melainkan akibat bahan baku terendam banjir sebelum plat mengalami proses pengerolan .

Klasifikasi Cacat Lintasan Dalam Bantalan Bola Berbasis Support Vector Machine (SVM) pada Fan Industri Berli Paripurna Kamiel; Arie Joko Wiranto; Bambang Riyanta; Sulis Yulianto
Semesta Teknika Vol 22, No 2 (2019): NOVEMBER 2019
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.222246

Fan adalah sebuah mesin industri yang berfungsi mensirkulasikan udara di dalam sebuah ruangan. Salah satu komponen dari fan yang sering rusak adalah bantalan. Metode spektrum merupakan salah satu metode deteksi rusak/cacat bantalan berbasis getaran yang umum digunakan namun grafik spektrum sering sulit dipahami oleh operator di lapangan. Metode pengenalan pola (pattern recognition) adalah metode yang mudah digunakan karena tidak perlu menterjemahkan grafik spektrum. Metode pengenalan pola yang digunakan pada penelitian ini adalah Support Vector Machine (SVM). Tujuan penelitian ini adalah mendeteksi cacat lintasan dalam pada bantalan bola. Penelitian ini menggunakan dua kondisi bantalan yang berbeda yaitu bantalan normal, dan bantalan cacat. Cacat pada bantalan dibuat dengan metode Electrical Discharge Machine (EDM) pada lintasan dalam dengan kedalaman 1,4 mm dan lebar 0,4 mm. Sinyal getaran bantalan direkam dari rig uji fan industri menggunakan software MATLAB dengan merekam data sebanyak 700 file untuk setiap kondisi. Data tersebut diektraksi kedalam 17 parameter statistik yang kemudian diseleksi secara visual sebagai input SVM. Klasifikasi SVM dilakukan dengan variasi kernel Radial Basis Function (RBF), Polynomial dan Linear. Hasil penelitian menunjukkan parameter statistik entropy dengan standart error menggunakan variasi kernel Radial Basis Function (RBF), Polynomial dan Linear adalah rekomendasi untuk klasifikasi cacat pada bantalan lintasan dalam karena menghasilkan akurasi sebesar 100%. Industrial fan is one of -rotating machinery commonly used by industries to circulate air in a particular area. One of the most important component of a fan is the bearing which may fault during its operation Spectrum analysis is one of vibration-based methods frequently used to detect faulty bearing but this method has a disadvantage that is not easily understood by operators in the field. Pattern recognition method is an easy method to be used because it does not need to interpret the spectrum. The pattern recognition method used in this study is Support Vector Machine (SVM). The purpose of this study is to detect inner race fault of a ball bearing using SVM. This study uses two different bearings, namely a normal bearing and a faulty bearing. Fault on the bearing were made by Electrical Discharge Machine (EDM) on the inner race with a width of 0.4 mm and a depth of 1.4 mm. The test is carried out on an industrial fan test rig and recorded using MATLAB. The vibration signal is recorded to result of 700 files for each bearing condition. The vibration data is subsequently extracted into 17 statistical parameters which are then visually selected as input of SVM classifier. The SVM classifiear is trained using variations of the Radial Basis Function (RBF), Polynomial and Linear kernels. The results shows that the statistical parameters of entropy-standard error using variation of the RBF, Polynomial and Linear kernels gives the highest accuracy of 100%.

Deteksi Kavitasi Pada Pompa Sentrifugal Menggunakan Spektrum Getaran dan Spektrum Envelope Berli P. Kamiel; Deby Arikh Nafsaka; Bambang Riyanta; Azhim Asyratul
Semesta Teknika Vol 22, No 1 (2019): MEI 2019
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.221231

AbstrakKavitasi adalah salah satu indikator penting kondisi operasi sebuah pompa sentrifugal. Fenomena kavitasi ditunjukkan dengan terbentuknya formasi gelembung udara yang kemudian pecah secara tiba-tiba akibat perubahan tekanan pada sisi hisap pompa. Kavitasi dapat menyebabkan kerusakan yang parah komponen pompa terutama bagian sudu atau impeller. Kavitasi biasanya dapat diidentifikasi melalui suara bising dan timbulnya getaran yang berlebihan. Sebuah metode deteksi kavitasi dibutuhkan agar potensi kerusakan lebih lanjut pada pompa sentrifugal dapat diantisipasi secepatnya. Penelitian ini bertujuan menghasilkan sebuah metode deteksi kavitasi menggunakan spektrum getaran dan spektrum envelope pada bentang frekwensi rendah 0-4 kHz dan bentang frekwensi tinggi 4-8,5 kHz. Sinyal getaran pompa direkam menggunakan sebuah akselerometer yang diletakkan pada rumah volute pompa arah aksial. Sinyal getaran kemudian ditransformasikan kedalam spektrum dan spektrum envelope menggunakan Fast Fourier Transform. Spektrum dan spektrum envelope untuk masing-masing bentang frekwensi dibandingkan antara pompa kondisi normal dan kondisi tiga level kavitasi kavitasi. Hasil penelitian menunjukkan bahwa spektrum frekwensi rendah dapat digunakan untuk mendeteksi kavitasi level 3 yang ditunjukkan dengan peningkatan amplitudo frekwensi poros sebesar 47,6 Hz dan ½ BPF sebesar 149,6 Hz. Sedangkan kavitasi level 1 dapat dideteksi oleh spektrum envelope pada bentang frekwensi tinggi. Dapat disimpulkan pula bahwa penurunan ampitudo teramati secara umum pada domain waktu seiring dengan meningkatnya level kavitasi. AbstractCavitation is an important indication of operation condition for a centrifugal pump. An indication of the appearance of cavitation is the formation of bubbles which collapse suddenly when the pressure changed on the suction side of the pump. The formation of cavitation bubbles can cause fault to the inner pump components. The fault that often results from cavitation phenomenon is affected in the impeller. This fault is usully identified through noise and vibration generated. Therefore, a method is needed to detect early cavitation phenomenon at the centrifugal pump. This study aims to develop cavitation detection methods using the vibration spectrum and envelope spectrum of low frequency band of 0-4 kHz and high frequency band of 4 kHz-8,5 kHz. In this study, cavitation detection in conducted by recording vibration signals that occur at centrifugal pump using an accelerometer. The data obtained is then transformed into the frequency domain and envelope spectrum using Fast Fourier Transform. The results were compared between normal condition and level 1, 2, and 3 cavitation. Comparisons were made on each vibration spectrum and envelope spectrum at the low frequency and high frequency bands. The result of this study showed that the vibration spectrum with low frequency band can detect the formation of level 3 cavitation with an increase in shaft frequency amplitude (47,26 Hz) and ½ BPF (149,6 Hz). Whereas early cavitation or level 1 cavitation was identified through the envelope spectrum at high frequency band. It also showed that a decrease in amplitude occured gradually in the time domain along with increasing level of cavitation.

Pengaruh Temperatur dan Arus Listrik Proses Pelapisan Krom Pada Plastik ABS Dengan Metode Elektroplating Muhammad Budi Nur Rahman; Bambang Riyanta; Delvis Agusman
JMPM (Jurnal Material dan Proses Manufaktur) Vol 4, No 1 (2020): Juni
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmpm.v4i1.9379

Elektroplating pada plastik berfungsi menambah sifat konduktif dan dekoratif. Plastik ABS memiliki tingkat keberhasilan untuk dilakukan elektroplating karena dapat dietsa secara kimiawi. Tujuan penelitian ini adalah mengetahui pengaruh temperatur dan arus listrik proses elektroplating krom terhadap ketebalan lapisan dan kekasaran permukaan. Proses elektroplating pada plastik ABS diawali dengan proses etching, proses metalisasi palladium, dan electrolessplating nikel. Variasi arus proses elektroplating krom yang dilakukan adalah 11 A, 16 A, dan 22 A sedangkan variasi temperatur adalah 55oC, 65oC, dan 75oC. Pengamatan hasil pelapisan meliputi pengamatan struktur mikro menggunakan mikroskop optic dan SEM, ketebalan lapisan, kekasaran permukaan dan kekerasan permukaan. Semakin besar arus proses elektroplating dapat meningkatkan kekasaran permukaan dan ketebalan lapisan. Proses elektroplating dengan arus 22 A menghasilkan kekasaran permukaan 0,493 µm dan ketebalan lapisan sebesar 60,61 µm. Peningkatan temperatur proses elektroplating sampai temperatur 75oC akan menurunkan nilai kekasaran permukaan sebesar 0,40 μm dan ketebalan lapisan sebesar 21,53 μm. Variasi arus dan temperatur proses elektroplating tidak banyak berpengaruh terhadap nilai kekerasan yang berkisar antara 111 - 114 shore-D. Electroplating on plastic serves to add conductive and decorative properties. ABS plastic has a high degree of success for electroplating because it can be chemically etched. The purpose of this study was to determine the effect of temperature and electric current on the chrome electroplating process on the thickness of the layer and surface roughness. The electroplating process on ABS plastic begins with the etching process, the palladium metallization process, and the nickel electroless-plating. The variation of the chromium electroplating process current is 11 A, 16 A, and 22 A while the temperature variation is 55oC, 65oC, and 75oC. Observation of coating results includes observation of microstructure using optical microscopy and SEM, layer thickness, surface roughness and surface hardness. Coating research results include observations of microstructure and SEM, layer thickness, surface roughness and surface hardness. The greater the current electroplating process can increase surface roughness, thickness of the layer. Electroplating process with a current of 22 A produces a surface roughness of 0.493 µm and a layer thickness of 60.61 µm. Increasing the temperature of the electroplating process to a temperature of 75oC will reduce the surface roughness value by 0.40 μm and the thickness of the layer by 21.53 μm. The variation of current and temperature of the electroplating process does not significantly affect the hardness values ranging from 111 - 114 shore-D.

PERANCANGAN DAN PEMBUATAN ALAT PELIPAT BAJU DENGAN PENGONTROL SISTEM ELEKTRO PNEUMATIK DAN PLC UNTUK INDUSTRI KONVEKSI M. Iqbal Nur Fahmi; Wahyudi Wahyudi; Bambang Riyanta
JMPM (Jurnal Material dan Proses Manufaktur) Vol 1, No 2 (2017): Desember
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmpm.v1i2.4177

Dunia industri konveksi tidak terlepas dari berkembangnya mesin-mesin produksi, mulai dari bahan baku, pembuatan sampai dengan pengemasan barang yang sudah jadi. Penggunaan sistem otomasi dalam dunia industri konveksi dapat membantu pekerjaan menjadi lebih efisien, menghemat biaya produksi, mutu pada produk dan konsisten. Salah satu peralatan yang dibutuhkan adalah alat pelipat baju. Hal yang mendasari dalam perancangan adalah cara melipatcara melipat baju secara manual. Setelah mendapatkan skema melipat baju maka selanjutnya dapat membuat sistem yang akan digunakan, desain alat, simulasi, pemilihan komponen dan bahan yang akan digunakan. Software yang digunakan untuk perancangan yaitu Autodesk Inventor Professional 2013, CX-Programmer dan FluidSIM Pneumatic. Tahap selanjutnya yaitu proses pembuatan prototype. Bahan yang digunakan untuk pembuatan yaitu besi hollow, Aluminium Composite Panel (ACP), Akrilik dan plat besi. Sedangkan komponen utama yang digunakan untuk sistem PLC adalah PLC type CP1E, Power Supply. Sedangkan untuk sistem elektro pneumatik meliputi solenoid valve, air service, control flow dan clynder pneumatic. Alat pelipat baju berdimensi panjang 1100 mm lebar 945 mm dan tinggi 895tinggi mm895 mm. Uji cobaUji coba prototype pelipat baju memperoleh waktu 25 (Detik) untuk setiap satu baju. Dengan kecepatan yang didapatkan tersebut dan dioperasikan 8 jam kerja setiap harinya sehingga prototype ini mampu menyelesaikan lipatan baju kurang lebih sebanyak 1152. Untuk biaya pemakaian alat yang harus dikerluarkan untuk melipatan setiap baju sebesar Rp 9.7. Alat ini dapat membantu industri konveksi khususnya Industri Kecil dan Menengah (IKM) untuk memperpendek siklus proses produksinya

Identifikasi cacat lintasan luar bantalan bola menggunakan Support Vector Machine (SVM) pada fan industri Berli P. Kamiel; Wildan T.B Anggoro; Bambang Riyanta
TURBO [Tulisan Riset Berbasis Online] Vol 8, No 2 (2019): Jurnal Turbo Desember 2019
Publisher : Universitas Muhammadiyah Metro

Air regulation creates a comfortable and healthy environment for activities in the industry. A fan is a rotary machine that functions to regulate and circulate air in a room or work area. The bearing is an important component of a fan that is potentially damaged during operation. Damage to the bearing will interfere with perform the fan and can even disrupt a whole production process. A bearing condition monitoring method is needed that is effective and easy to use. Conventional methods such as spectrum analysis and sound analysis are not easy to use by operators in the field due to spectrum analysis requires spectrum reading experience while sound analysis is highly dependent on personal experience. This study proposes a vibration-based pattern recognition method that is Support Vector Machine (SVM) to detect damage to a bearing. This method effectively classifies bearing conditions and is easy to use. The study aims to obtain a method of detecting defects in single-row bearing outer paths on industrial fans using SVM. The study uses an industrial fan test rig with two bearing conditions, that is normal conditions (no defects) and external track defects with a depth of 1.4 mm defect and 0.4 mm width. Recording vibration signals using a data acquisition module with a sampling speed of 17066 Hz and a motor rotational speed of 2850 rpm. The SVM classifier is trained using 9 selected statistical parameters which are extracted from 700 sets of vibration signal recordings. The results showed the statistical parameters that were effectively used were Root Mean Square (RMS), Standard Deviation, Kurtosis, Variance, Entropy, Standard Error, Median, Signal-to-Noise and Distortion Ratio (SINAD), and Signal to Noise Ratio (SNR). The most optimal SVM model is obtained by applying combine Median-SINAD statistical parameters, with the same testing accuracy for the RBF, Polynomial and Linear kernels at 100%. Keywords: Bearings, external path defects, kernel, statistical parameters, SVM.

Perancangan Instalasi Pemanen Air Hujan Bambang Riyanta; Sunardi Sunardi; Thoharudin Thoharudin; Fitroh Anugrah Kusuma Yudha
Mitra Abdimas: Jurnal Pengabdian kepada Masyarakat Vol 2 No 2 (2022)
Publisher : Medan Resource Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (445.9 KB)

Due to the dry season in recent years longer than the dry season in previous years and the increase in population and the need for clean water use, especially in the Special Region of Yogyakarta, there has been a decrease in groundwater levels which has resulted in residents having difficulty getting groundwater. On the other hand, people do not have a culture of using rainwater to meet their daily water needs. This community service program is carried out in order to help the movement to harvest rainwater, especially in the RT 02 RW 01 area of Patangpuluhan Village, Wirobrajan District. The program is carried out by harvesting rainwater to be injected into existing wells, harvesting rainwater to be stored in reservoirs and harvesting rainwater to be injected in existing infiltration wells. The output of this community service program is in the form of an integrated system of gutters for water catchers, filters and pipelines for injection into wells, an integrated system of gutters for water catchers, filters and direct pipelines to water reservoirs and an integrated system of gutters, filters and injection pipelines into existing infiltration wells.

PELATIHAN INTERNET OF THINGS MENGGUNAKAN ARDUINO UNO UNTUK MENINGKATKAN KETERAMPILAN GURU Ikhsan Fakhri Fadillah; Fitroh Anugrah Kusuma Yuhda; Bambang Riyanta; Nur Ardiyansyah; Aditya Kurniawan
Jurnal Abdimas Bina Bangsa Vol. 4 No. 2 (2023): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v4i2.595

Community service activities have been carried out with the topic of Internet of things training using Arduino Uno to improve teacher skills. The Service Partner is SMK Muhammadiyah 3 Yogyakarta. The targets of this service are vocational teachers from the Light Vehicle Engineering, Mechanical Engineering, Audio Video Engineering, Electrical Installation Engineering, and Computer Network Engineering expertise programs. The purpose of this activity is to increase the knowledge of teacher participants about technological developments, especially the Internet of things which is currently developing in the current technological era. The learning materials presented are the basic concepts of the Internet of things, programming languages, introduction to hardware and software components (Arduino IDE and Blynk), and the application of the Internet of things in the industrial world and everyday life. The results of the training showed that the participants experienced an increase in score of 79.12% based on the initial exam average score of 45.5 and the final average score of 81.5

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