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All Journal Jurnal Pengabdian kepada Masyarakat Nusantara IRA Jurnal Teknik Mesin dan Aplikasinya (IRAJTMA)
Aan Burhanuddin
Universitas Persatuan Guru Republik Indonesia Semarang
Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Desain Logika Fuzzy untuk Penilaian Kualitas Air Sumur Berdasarkan Parameter Salinitas, pH, dan Kekeruhan Aan Burhanuddin; Agus Mukhtar; Rifki Hermana; Muhammad Amirudin; Muchamad Malik; Althesa Androva; Hisyam Ma’mun; Mohammad Fadillah; Ezze Zhain Zhiqqi Prihantono; Subkhan Ma'mum
IRA Jurnal Teknik Mesin dan Aplikasinya (IRAJTMA) Vol 4 No 3 (2025): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajtma.v4i3.333

Abstract

This study develops an integrated fuzzy-logic-based assessment system to evaluate well water quality using pH, salinity (via TDS conversion), and turbidity. The research aims to develop an adaptive system capable of handling uncertainties in water quality parameters in real-time monitoring across Semarang's coastal areas. The methodology incorporates sensor performance validation, fuzzy input processing, rule-based inference, and defuzzification implemented through MATLAB R2021a. Experimental results demonstrate exceptional metrological performance, with sensor linearity achieving determination coefficients (R²) of 0.9995 for pH, 0.9998 for salinity, 0.9996 for temperature, and 0.9993 for turbidity. Statistical validation confirmed measurement precision, with root-mean-square errors (RMSEs) of 0.018 pH units, 0.023 ppt salinity, 0.14°C temperature, and 0.027 NTU turbidity. Field implementation across 6 sub-districts revealed that 83.3% of samples complied with pH quality standards, 60% met turbidity thresholds, while 33.3% of samples in Genuksari exhibited seawater intrusion indicators with salinity levels exceeding 0.5 ppt. The study conclusively demonstrates that the developed fuzzy logic system provides accurate, consistent water quality evaluation and presents a viable framework for smart water monitoring infrastructure in coastal urban environments, particularly for detecting saline intrusion and maintaining water security.
Penerapan Mesin Pelet Limbah Sayur dalam Efisiensi Produksi Peternak Ayam Morobongo Aan Burhanuddin; Muchamad Malik; Rizky Muliani Dwi Ujianti
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 7 No. 3 (2026): Article In Progress
Publisher : Lembaga Dongan Dosen

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Abstract

Tingginya biaya pakan fabrikasi yang menyerap 65-70% operasional peternakan ayam di Desa Morobongo, Temanggung, menjadi kendala utama peternak di tengah melimpahnya limbah sayur hortikultura (40-70 kg/hari). Program pengabdian masyarakat ini menerapkan teknologi mesin pencetak pelet pakan (kapasitas 100-120 kg/jam) berbasis bahan lokal melalui empat pilar intervensi: pelatihan formulasi ransum, manajemen usaha MS Excel, operasional mesin, dan pendampingan E-Commerce. Kegiatan diikuti oleh 20 peternak dan Sekretaris Desa Morobongo. Evaluasi pre-test dan post-test menggunakan instrumen kuesioner terstruktur skala Likert 1-5 (20 butir, r-tabel > 0,444, Cronbach's Alpha = 0,862). Hasil analisis deskriptif menunjukkan skor pemahaman peserta meningkat dari rata-rata pre-test 33,25% menjadi post-test 87,75% (N-Gain 0,81, kategori tinggi). Penggunaan ransum pelet mandiri berhasil menekan biaya pakan sebesar 38,5% (dari Rp7.800/kg menjadi Rp4.800/kg) dan menurunkan Feed Conversion Ratio (FCR) dari 2,05 menjadi 1,62. Evaluasi ini didasarkan pada desain pre-test–post-test tanpa kelompok kontrol, sehingga perubahan FCR dan efisiensi juga berpotensi dipengaruhi oleh faktor eksternal seperti manajemen suhu kandang, sanitasi, dan kualitas bibit.
Co-Authors Agus Mukhtar Althesa Androva Ezze Zhain Zhiqqi Prihantono Hisyam Ma’mun Mohammad Fadillah Muchamad Malik Muchamad Malik Muhammad Amirudin Rifki Hermana Rizky Muliani Dwi Ujianti Subkhan Ma'mum