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All Journal Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Ilmu Komunikasi dan Sosial Politik Jurnal Celebica : Jurnal Kehutanan Indonesia
Elsa Damayanti
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Environmental Science Library & Information Science

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Klasifikasi Pemilihan Bibit Unggul Kelapa Sawit Menggunakan Algoritma Naïve Bayes Elsa Damayanti; Barry Ceasar Octariadi; Rachmat Wahid Saleh Insani
JURAL RISET RUMPUN ILMU TEKNIK Vol. 4 No. 1 (2025): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i1.4991

Abstract

Oil palm is a key commodity supporting Indonesia’s economy through exports and employment. The industry’s success depends heavily on the selection of superior seedlings, which determine productivity, crop quality, and resistance to pests and diseases. Manual selection, however, often leads to subjectivity and inconsistency due to limited human resources and genetic variation. To address this, the study applies the Naïve Bayes algorithm for classifying oil palm seedlings based on seven variables: height, stem diameter, number of leaves, leaf color, disease resistance, root growth, and fruit yield. Using an explanatory quantitative method, the study follows seven stages: identifying problems, literature review, collecting 1,000 data entries from PT Intitama Berlian Perkebunan, data pre-processing, system modeling (UML), algorithm implementation, and evaluation using a confusion matrix and black box testing. Data was split into 80% training and 20% testing. The Naïve Bayes-based classification achieved 95% accuracy and perfect recall (1.00) for the superior seedling class. However, its performance on the minority class (non-superior seedlings) was weaker due to dataset imbalance. Black box testing verified all system functions worked correctly, enabling effective and efficient use by administrators. The study concludes that Naïve Bayes improves objectivity, efficiency, and accuracy in seedling selection. Nonetheless, attention is needed on data balancing and optimization to maintain consistent performance across classes. This system shows strong potential as a decision-support tool in plantations and promotes digital transformation in agricultural processes.
ANALISIS POTENSI KARBON PADA HUTAN MANGROVE DI PESISIR KAWASAN MASJID AL ALAM TELUK KENDARI ikra safitri; RahmaH Dzulhajjah; Musrim Munazar; Elsa Damayanti; Supriatna supriatna
Jurnal Celebica : Jurnal Kehutanan Indonesia Vol. 4 No. 2 (2023): Volume 4, No 2 (2023): Jurnal Celebica : Jurnal Kehutanan Indonesia
Publisher : Jurusan Kehutanan -FHIL-UHO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jc.v4i2.56

Abstract

This study aims to determine the morphological basis of carbon storage in mangrove plants, to find out how much carbon storage is according to mangrove vegetation types, and to find out how much total carbon is stored in the Al Alam Mosque Coastal Mangrove Forest Area, Kendari Bay. Data analysis using the approach of determining mangrove tree biomass is calculated using the allometric equation of mangrove trees. The results of this study indicate that the population of mangrove plants as a carbon storage area is spread in the morphology of the roots, stems and leaves under study, namely the stems. The average amount of biomass is 21,100 tons/ha and the average stored carbon gain is 8.96 tons/ha, the type that stores the most carbon is Sonneratia alba with 26.90 tons/ha Biomass and 11.51 tons/ha Carbon and Rhizophora species mucronata Biomass is 20.37 tons/ha and Carbon is 8.96 tons/ha while the least biomass is Bruguiera gymnorhiza with biomass 14.54 tons/ha and carbon 6.40 tons/ha. There are 3 types of mangroves, namely (Sonneratia alba), (Rhizophora mucronata), (Bruguiera gymnorhiza). The total research area is 19.41 ha with a carbon storage gain of 511.1 tons.
Implementasi Retorika dalam Mengembangkan Dakwah Bil-Lisan Mahasiswa Elsa Damayanti; Achmad Syarifudin; Anang Walian
Jurnal Ilmu Komunikasi Dan Sosial Politik Vol. 3 No. 4 (2026): April - Juni
Publisher : CV. ITTC INDONESIA

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Abstract

Penelitian ini bertujuan untuk menganalisis implementasi retorika dalam mengembangkan dakwah bil-lisan pada mahasiswa. Retorika sebagai seni berbicara memiliki peran penting dalam menyampaikan pesan dakwah secara efektif, persuasif, dan komunikatif. Pendekatan penelitian yang digunakan adalah kualitatif deskriptif, dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Subjek penelitian adalah mahasiswa yang aktif dalam kegiatan dakwah, baik di lingkungan kampus maupun masyarakat. Hasil penelitian menunjukkan bahwa implementasi retorika dalam dakwah bil-lisan meliputi penggunaan bahasa yang jelas dan mudah dipahami, penguasaan materi, teknik penyampaian yang menarik, serta kemampuan menyesuaikan pesan dengan kondisi audiens. Selain itu, faktor pendukung seperti kepercayaan diri, pengalaman berbicara, dan pemahaman nilai-nilai keislaman turut memengaruhi keberhasilan dakwah. Penelitian ini menyimpulkan bahwa kemampuan retorika yang baik dapat meningkatkan efektivitas dakwah mahasiswa sehingga pesan yang disampaikan lebih mudah diterima dan berdampak positif bagi audiens
Co-Authors Achmad Syarifudin Anang Walian Barry Ceasar Octariadi ikra safitri Musrim Munazar Rachmat Wahid Saleh Insani RahmaH Dzulhajjah Supriatna Supriatna