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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Rekayasa Mesin Sinergi Jurnal Teknik Mesin International Journal of Advanced Technology in Mechanical, Mechatronics and Material (IJATEC) JTTM: Jurnal Terapan Teknik Mesin International Journal of Community Service Akuntansi dan Humaniora: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Bhinneka International Journal of Innovation in Mechanical Engineering and Advanced Materials Journal of Engineering and Technological Sciences
Wiwit Suprihatiningsih
Universitas Mercu Buana
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Pelatihan Pengoperasian Mesin Pengurai Sabut Kelapa Di RPTRA Menara Kelurahaan Kembangan Selatan Jakarta Barat Subekti, Subekti; Indah, Nur; Pratiwi, Swandya Eka; Wahyudi, Haris; Anggara, Fajar; Sudarma, Andi Firdaus; Carles, Henry; Sari, Andarany Kartka; Suprihatiningsih, Wiwit
Jurnal Pengabdian Masyarakat Bhinneka Vol. 3 No. 4 (2025): Bulan Juli
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v3i4.250

Abstract

\ Proses pengolahan limbah sabut kelapa dengan menggunakan mesin pengurai sabut kelapa dapat memudahkan proses produksi. Hasil produksi dari penguraian sabut menghasilkan cocofiber dan cocofeat yang dapat di manfaatkan dalam berbagai macam produk seperti jok mobil, matras, keset, kerajinan tangan, papan serat, serta produk ramah lingkugan lainnya. Hal tersebut menunjukkan bahwa penggunaan produk-produk rumahan tidak hanya berasal dari bahan baku sintetis. Pemanfaatan sabut kelapa dengan sumber bahan baku yang relatif mudah didapatkan dapat membantu perindustrian ekonomi kecil dan menengah, dengan demikian pengabdian masyarakat melalui merancang mesin pengurai sabut kelapa menggunkan motor bakar bensin sebagai penggerak mesin untuk mempermudah proses penguraian sabut kelapa sebelum diproduksi. Sehingga tujuan pengabdian masyarakat dalam menanfaatkan limbah serabut kelapa menjadi barang dapat bernilai ekonomis sehingga dapat meningkatkan taraf hidup masyarakat sekitar. Kegiatan ini dilakukan dengan ceramah dan demo mesin pengurai sabut kelapa. Masyarakat yang akan terlibat dari kegiatan ini sekitar 40 orang yang diatur oleh RT/RW setempat, Kegiatan ini sangat diapresiasi oleh para peserta dimana hampir 88 % peserta memahami isi materi dan praktek Mesin Serabut Kelapa. Sedangkan untuk nilai terendah sekitar 72 % menyatakan bahwa kegiatan ini sangat diperlukan oleh para peserta dan berlangsung sukses dengan banyaknya pertanyaan dan saran agar kegiatan ini dilanjutkan.
Designing an intelligent system for vibration diagnosis of centrifugal water-cooling pumps using Bayesian networks Suprihatiningsih, Wiwit; Romahadi, Dedik; Genetu Feleke, Aberham
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp4390-4402

Abstract

Implementing monitoring methods is a viable method to reduce substantial damage to cooling water centrifugal pumps. Engaging in manual vibration analysis requires considerable time and a requisite level of competence. Small datasets pose challenges when applying classification systems that utilize linear classification models and deep learning. Given these issues, our proposal entails developing a system capable of autonomously, precisely, and accurately diagnosing vibrations using a limited dataset. The system is anticipated to possess the capability to detect multiple categories of mechanical defects, such as static imbalance, dynamic imbalance, misalignment, cavitation, looseness, and bearing corrosion. The Bayesian network (BN) structure was constructed using the MATLAB software. The input data parameters comprise vibration signals measured in the frequency domain and values representing phase differences. The constructed intelligent system was subsequently assessed using a dataset including 120 samples. The smart system can rapidly anticipate and precisely identify every form of harm with exceptional accuracy and sensitivity, relying on test outcomes. The test data analysis reveals that the intelligent system attained an average accuracy of 94.74%, precision of 95.32%, sensitivity (recall) of 93.67%, and F-score of 94.36%. 
Impact of Extended Intervals on Diesel Engine Performance with 15W-40 DH1 Lubricant Oil Suprihatiningsih, Wiwit; Priyanto, Arief; Nurato, Nurato; Chairat, Arief Suardi Nur; Prumanto, Denny
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 6, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i2.25014

Abstract

Engine lubricant oil is crucial for minimizing friction between moving components within an engine, directly influencing the engine's reliability and lifespan. Determining the appropriate oil replacement intervals is essential, as extending these intervals necessitates more rigorous monitoring of both oil quality and engine condition. This study investigated the performance of SAKAI 15W-40 DH1 engine oil in the SAKAI Vibrating Roller SV526 over varying operational periods: 125 hours, 250 hours, 375 hours, and 500 hours. The research involved analyzing oil samples for viscosity, metal additives, total base number (TBN), and contaminants using Fourier Transform Infrared Spectroscopy (FTIR). Additionally, key engine performance indicators, including fuel consumption, valve clearance, and compression pressure, were measured. The findings revealed a gradual decrease in oil viscosity from 13.48 cSt to 11.56 cSt, approaching the minimum acceptable threshold of 11.45 cSt. Concurrently, the Fe content in the oil increased to 11 ppm, indicating wear, while the valve clearance in cylinder number three expanded to 0.48 mm, and compression pressure dropped from 31 kg/cm² to 28 kg/cm². Despite these changes, the oil remained within the standard operational limits, and the engine continued to perform adequately. However, based on the observed trends, extending the oil replacement interval to 500 hours cannot be conclusively recommended, as the oil's condition and engine performance may begin to decline beyond this point.
Co-Authors Abdul Hamid Adji Nur Fadilah Anggara, Fajar ARIYANTO , Satrio Muhammad Ayu Arwati, I G. Carles, Henry Chairat, Arief Suardi Nur Dedik Romahadi Dedik Romahadi Erna Setiany Erna Sofriana Imaningsih Feleke, Aberham Genetu G A Arwati, I G. Ayu Arwati, I Genetu Feleke, Aberham Gian Villany Golwa Hadi Pranoto Hari Setiyawati Hui Xiong Mahesh Kumar Muhammad Fikri Muhammad Fitri, Muhammad Muhammad Idil Fadil Nur Indah, Nur Nurato Nurato, Nurato Pratiwi, Riri Priyanto, Arief Prumanto, Denny Puji Rahayu PUTRA, Rangga Aji Raden Mohamad Herdian Bhakti Romahadi, Dedik Safira, Safira Sagir Alva SALMAN, Kina Bahru Sari, Andarany Kartka Sawarni Hasibuan Setiawan, Arip Siti Choiriah Subekti Subekti Sudarma, Andi Firdaus Suharmadi Suharmadi Supaat Zakaria Swandya Eka Pratiwi, Swandya Eka Villany Golwa, Gian Wahyudi, Haris Winnugroho Wiratman, Manfaluthy Hakim, Tiara Aninditha, Aru W. Sudoyo, Joedo Prihartono Yudha Aji Pramono Yudhi Herliansyah