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All Journal Tolis Ilmiah: Jurnal Penelitian Salaga Journal
Ayusari, Ayusari
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Agriculture, Biological Sciences & Forestry Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences

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PENENTUAN NILAI INDEKS KERENTANAN SEISMIK DAERAH RAWAN LONGSOR METODE MIKROTREMOR DI KECAMATAN TOMBOLOPAO KABUPATENGOWA Malik, Dian Pratiwi; L, Muh Said; Ayusari, Ayusari
Tolis Ilmiah : Jurnal Penelitian Vol 3 No 1: Mei
Publisher : LPPM Universitas Madako Tolitoli

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56630/jti.v3i1.159

Abstract

Penelitian ini dilakukan untuk mengidentifikasi daerah rawan longsor di Kecamatan Tombolopao, Kabupaten Gowa. Penelitian ini bertujuan untuk mengetahui nilai frekuensi dominan (fo), faktor amplifikasi (Ao), indeks kerawanan gempa (Kg) dan mengidentifikasi karakteristik lokasi longsor di daerah penelitian. Pengambilan data menggunakan seperangkat alat Seismograf Digital Portable tipe TDL-3035 pada 8 titik penelitian dengan spasi 15 m. Data sinyal mikrotremor tersebut kemudian diolah dengan metode HVSR pada software Geopsy sehingga diperoleh kurva H/V yang menyatakan nilai fo dan Ao. Nilai fo dan Ao kemudian digunakan untuk mendapatkan indeks kerentanan seismik (Kg). Hasil yang diperoleh dari sebaran nilai frekuensi dominan berkisar antara 0,685 – 5,745 Hz, nilai faktor amplifikasi antara 1,927- 3,193, nilai indeks kerawanan gempa antara 0,646- 9,029 dan karakteristik lokasi longsor berdasarkan nilai parameter indeks kerawanan gempa yang diperoleh dari persamaan empiris frekuensi dominan dan amplifikasi faktor berada pada titik pengukuran MT1, MT3 dan MT4.Kata kunci : Tanah longsor, mikrotremor, metode HVSR
Application of Fuzzy Control and IoT Monitoring on Small Scale Biofermentor for Making Virgin Coconut Oil Ayusari, Ayusari; Abdul, Waris; Muhammad Tahir, Sapsal
Salaga Journal Volume 02, No. 2, December 2024
Publisher : Program Studi Teknik Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/salaga.v2i2.1776

Abstract

Virgin Coconut Oil is a pure coconut oil that can be obtained from the extract of fresh and old coconut meat. This study aimed to evaluate the performance of a biofermentor integrated with a fuzzy logic control system and IoT for VCO production. The research involved designing control rules to regulate temperature, testing the IoT system for real-time monitoring, and assessing the biofermentor's performance. The parameters observed were control system response, temperature, yield and moisture content.  Results showed that the fuzzy control system effectively maintained temperature stability, resulting in a higher yield (39.65%) and lower moisture content (0.08%) compared to conventional methods. In addition, the fuzzy control rules are able to regulate the power so that the temperature overshoot is quite small (1%), the settling time is relatively short (9 minutes), the temperature is stable, and the steady state error is 1.02% (with in tolerance limits).
Co-Authors Abdul, Waris Dian Pratiwi Malik Muh. Said L Muhammad Tahir, Sapsal