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All Journal Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Informatics and Enginering Dedication Applied Information Technology and Computer Science (AICOMS)
Rikky, Rikky
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Computer Science & IT Economics, Econometrics & Finance Other

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Pelatihan Peningkatan SoftSkill Pembuatan Curriculum Vitae di SMA Xaverius 3 Palembang Rikky, Rikky; Graciela, Michelle; Oktaviani, Ayu Sri; Chaesa, Linus Ardel; Fernando, Fernando; Hartati, Ery
FORDICATE Vol 3 No 1 (2023): November 2023
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/fordicate.v3i1.5058

Abstract

Siswa Sekolah Menengah Atas merupakan generasi muda yang akan memasuki dunia kerja dalam waktu yang tidak terlalu lama. Dalam mencari pekerjaan, salah satu syarat utama yang harus dipenuhi adalah membuat Curriculum Vitae yang baik dan menarik. Curriculum Vitae merupakan dokumen penting dalam proses seleksi kerja, karena Curriculum Vitae yang baik akan menunjukkan kemampuan dan pengalaman seseorang yang relevan dengan posisi yang dilamar. Disini kami memakai metode pengajaran menggunakan Canva untuk mempresentasikannya sehingga siswa/i dapat memahami dengan baik dan dapat dipergunakan untuk melamar di organisasi ataupun perusahaan yang ingin dilamar.
Implementation of Fiscal Incentive Policy for Ease of Investment in the Singkawang City Government Rikky, Rikky; Deliarnoor, Nandang Alamsah; Bintari, Antik
Dinasti International Journal of Economics, Finance & Accounting Vol. 6 No. 1 (2025): Dinasti International Journal of Economics, Finance & Accounting (March-April 2
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v6i1.3979

Abstract

This study highlights the implementation of fiscal incentive policies for the ease of investment in Singkawang City. This study analyze the factors that influence the success of policy implementation using dimensions which are expressed by Grindle by analyzing variables about the contents of the policy and the context of implementation. This study selects a qualitative method because it allows researchers to understand social phenomena in its context more comprehensively. Researchers collected data through three main techniques: interviews, observations, and documentation. This study chose to apply data analysis techniques consisting of three main steps, namely data reduction, data presentation, and drawing conclusions. The results showed that the implementation of fiscal incentive policies for the ease of investment in the Singkawang City Government in the span of 2023-2024 was not yet optimal. Weaknesses both in policy content and from the context of their implementation are identified.
Klasifikasi Opini Masyarakat Terhadap Naturalisasi Pemain Sepak Bola Menggunakan KNN dan SMOTE Rikky, Rikky; Graciela, Michelle; Irsyad, Hafiz
Applied Information Technology and Computer Science (AICOMS) Vol 3 No 1 (2024)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/aicoms.v3i1.1547

Abstract

This study analyzes public sentiment toward the naturalization of football players using the K-Nearest Neighbor (KNN) method and the Synthetic Minority Oversampling Technique (SMOTE). KNN is employed for sentiment classification, while SMOTE addresses class imbalance in the dataset. The methodology includes data collection, labeling, cleaning, preprocessing, classification, and model evaluation using Google Colab and Python. The results indicate that without SMOTE, the model performs better, achieving high precision, recall, F1 score, and accuracy. In contrast, applying SMOTE reduces performance, particularly in precision and F1 score. The "Manhattan Neighbor 7" and "Manhattan Neighbor 3" models without SMOTE demonstrate near-perfect results, while SMOTE significantly decreases several evaluation metrics. Additionally, the analysis of public opinions on YouTube reveals a tendency toward negative sentiment in podcasts about player naturalization, hosted by Bung Towel and Anjas Asmara, reflecting public skepticism and critical views on the topic. This study provides valuable insights into public sentiment and the effectiveness of classification methods in the context of national sports issues.
Co-Authors Antik Bintari Chaesa, Linus Ardel Fernando Fernando, Fernando Graciela, Michelle Hafiz Irsyad Hartati, Ery Nandang Alamsah Deliarnoor Oktaviani, Ayu Sri