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KLASIFIKASI KESUBURAN TANAH DENGAN METODE PRINCIPAL COMPONENT REGRESSION Calvin Calvin; Janson Hendryli
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 2 (2016): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (8.28 KB) | DOI: 10.24912/jiksi.v4i2.88

Abstract

Land be a pleasant to plant life and a layer of earth most outer derived from weathering rocks a have the depth and its own characteristic and organic matter land was the result of weathering plant remains and the animal that mingled with mineral matter another out of the ground at the top layer of soil. The aim of this research is to predict the soil fertility. In this research, the data training and testing is from Landsat 7 Image in Jakarta and Bogor with 6 bands. There are two steps in doing the experiment, training and testing. We use Principal Component Regression in training to find the best model that will be used in testing and return it in the form images in testing. For the evaluation we used Analysis of Variance. Principal Component Regression got 37,35% average error in Jakarta and 35,8% average error in Bogor.
Trade off Theory Testing on Company Capital Structure Compass Stock Index 100 Denni Hutapea; Munawarah Munawarah; Angelia Cunata; Calvin Calvin
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 3, No 4 (2020): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v3i4.1503

Abstract

The research objective was to determine the effect of asset structure, profitability, company size and sales growth on capital structureKompas Stock Index Company 100. Quantitative research approach with explanatory types of research. There are 100 companies in Kompas 100 with the use of a sample of 40 companies with a total of 200 observational data. The result is that the asset structure, profitability, firm size have an effect oncapital structure Kompas Stock Index Company 100. Sales growth has no effect oncapital structure Kompas Stock Index Company 100. Asset structure, profitability, company size and sales growth have an effect on capital structure Kompas Stock Index Company 100.
Analisa Pengaruh Negosiasi dan Manajemen Konflik pada Industri Perkapalan (Studi pada PT. Lautan Lestari Permata) Trillian Lim; Julius Kurnaedi; Jimmy Lim; Jeny Jeny; Calvin Calvin; Adi Neka Fatyandri
YUME : Journal of Management Vol 5, No 3 (2022)
Publisher : Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/yum.v5i3.2980

Abstract

Munculnya sebuah konflik pada sebuah organisasi atau perusahaan sudah menjadi hal biasa. Ketika dua atau lebih individu, kelompok, organisasi, dan negara berhubungan satu sama lain dalam mencapai tujuannya mereka tidak sesuai atau tidak konsisten dan memiliki sikap, nilai, keyakinan dan keterampilan yang berbeda, maka akan terjadi suatu konflik. adapun tujuan dari dilakukannya penelitian ini yaitu membahas apa saja faktor yang mempengaruhi negosiasi di industri perkapalan dan apa saja faktor yang menyebabkan manajemen konflik pada PT. Lautan Lestari Permata. Hasil dari penelitian ini bahwa ada beberapa strategi yang mempengaruhi negosiasi, faktor-faktor yang mempengaruhi proses negosiasi, dan faktor – faktor yang menyebabkan manajemen konflik dalam industri perkapalan. Selain tahapan yang ada di dalam negosiasi. Penulis berharap agar pada penelitian selanjutnya dapat menggunakan metode penelitian lainnya, untuk mendapatkan pemahaman yang lebih rinci mengenai analisa pengaruh negosiasi dan manajemen konflik pada industri perkapalan (studi pada PT. Lautan Lestari Permata).Kata kunci: Negosiasi, Manajemen Konflik dan Industri Perkapalan
Google Translate Mengubah Bahasa Batak Menjadi Bahasa Indonesia Calvin Calvin; Piter Antonius; Saut Dohot Siregar
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 2 (2025): April: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v3i2.399

Abstract

Google Translate is an artificial intelligence-based translation service developed by Google. Since its introduction in 2006, this service has continued to create with the application of Neural Machine Translation (NMT) technology, which improves the accuracy and fluency of translation compared to previous methods. This study aims to determine the effectiveness and limitations of Google Translate in translating Batak into Indonesian. The research method used is descriptive qualitative with a comparative approach of Google Translate translation results and manual translations by professional translators. The study results show that Google Translate can translate basic words and simple sentences quite well. However, there are several limitations, such as a lack of understanding of the cultural context, idioms, and dialect variations in the Batak language. In addition, the translation is also influenced by the limitations of the database and vocabulary enrichment in this service. Thus, although Google Translate can be a tool in translation, users still need to do manual verification to ensure accuracy, especially in fields that require high precision such as law, academics, and professional communication.