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All Journal Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII LOGIC : Jurnal Ilmu Komputer dan Pendidikan
Ibnu Hibban, Muhammad
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Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation Other

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Analisis Sentimen Terhadap PSBB Menggunakan Algoritma Naïve Bayes Ibnu Hibban, Muhammad; Susila, Atang
LOGIC : Jurnal Ilmu Komputer dan Pendidikan Vol. 2 No. 2 (2024): Logic : Jurnal Ilmu Komputer dan Pendidikan
Publisher : Shofanah Media Berkah

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Abstract

Pemerintah Indonesia telah mengambil berbagai langkah preventif dan kuratif dalam penanganan COVID-19, seperti mengadakan rapid test, menerapkan Pembatasan Sosial Berskala Besar (PSBB) di beberapa wilayah. Namun, ada berbagai sentimen yang muncul terkait kebijakan pemerintah, terutama terkait penerapan PSBB dan PSBB transisi di Banten yang dianggap kurang ketat. Hal ini terlihat dari perilaku masyarakat yang masih sering keluar rumah meskipun diimbau untuk tetap di rumah guna mengurangi penyebaran COVID-19. Dengan banyaknya perubahan peraturan maupun istilah, muncul berbagai sentimen atau opini dari masyarakat. Oleh karena itu, untuk mengetahui bagaimana opini masyarakat mengenai PSBB di Banten, dilakukan penelitian yang memerlukan model klasifikasi yang dapat melakukan analisa sentimen yaitu sentimen positif dan sentimen negatif pengguna media sosial yang berisi berbagai pendapat atau komentar terhadap pelaksanaan PSBB di Banten. Berdasarkan hal tersebut, penelitian ini bertujuan untuk memberikan gambaran mengenai bagaimana analisis sentimen terhadap PSBB di era COVID-19 pada media sosial untuk mengklasifikasikan opini positif dan negatif untuk berbagai kepentingan serta pengoptimalan informasi media sosial untuk kepentingan publik. Adapun metode yang digunakan Naïve Bayes karena memiliki Algoritma yang sederhana dengan akurasi yang tinggi.
Aquifer Investigation in Cibodas Bogor, West Java, Indonesia, using a geoelectrical method and 2D subsurface modeling rizqi, al hussein flowers; Erlandi, Muhammad; Arifai, Muhammad; Ibnu Hibban, Muhammad
Retii 2025: Prosiding Seminar Nasional ReTII ke-20 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

This study was conducted at the location of a cattle pen (Kafeel Farm) in Bogor City, more precisely in the Cibodas village. The purpose of this study is to use subsurface cross-sectional correlations to get a general picture of the lithology, geological structure, and subsurface aquifers. In addition to improving knowledge of the depth and distribution of aquifers in the study area, the contribution of this research will influence residents' groundwater searches. The geoelectrical method with Schlumberger configuration is the methodology employed in this study. In the research area, there were three points of observation in the geolectrical acquisition data. From oldest to youngest, the study area's lithology consists of sandstone with mudstone intercalations (Serpong Formation) and limestone lithology (Bojongmanik Formation). The weathering of limestone and sediments from the Cisadane River is used to interpret the surface soil. At a depth of 8 to 35 meters and a thickness ranging from 10 to 18 meters, the study area's aquifer contains shallow groundwater. Drilling is advised at observation point 2, at a depth of approximately 8 to 18 meters Keyword : Aquifer, Serpong Formation, Bogor, Geoelectrical; Schlumberger
Co-Authors Al Hussein Flowers Rizqi Atang Susila Erlandi, Muhammad Muhammad Arifai