Article Per Year (5 Year)
p-Index From 2021 - 2026
1.745
P-Index
This Author published in this journals
All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat ILKOM Jurnal Ilmiah Simtek : Jurnal Sistem Informasi dan Teknik Komputer Jurnal Manajemen Informatika dan Sistem Informasi Amalee: Indonesian Journal of Community Research & Engagement Jurnal Minfo Polgan (JMP) Jurnal Nasional Cosphi Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer (BALOK)
Kartika Chandra Pelangi
Universitas Ichsan Gorontalo
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Mathematics Public Health Social Sciences Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Analisis Sentimen Objek Wisata Di Kabupaten Banggai Laut Menggunakan Metode Naive Bayes Fatmawati; Husdi; Kartika Chandra Pelangi; Rofiq Harun
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 3 No 1 (2024): Mei 2024
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v3i1.882

Abstract

Abstract - are carried out and a place to have fun for a long time to achieve satisfaction, enjoy good service, and bring home beautiful memories of the tourist attractions. In Banggai Laut Regency, many tourist attractions are attractive for tourism activities. The number of visitors increases every year. The discussion about tourist attractions in Banggai Laut Regency is interesting to the local community. There are a lot of public comments about the tourist attractions in Banggai Laut. The number of opinions about tourist attractions in Banggai Laut makes it difficult to determine the sentiment of the comments manually. Therefore, sentiment analysis is required to classify the comments and whether or not they tend to be positive. In this case, this study employs the Naïve Bayes algorithm to classify the problems. Based on the sentiment analysis, it is proven that the Naïve Bayes method or algorithm can classify comments with good results. The accuracy generated in this sentiment analysis is 87%, with a division of training data of 90% and test data of 10%. The acquisition of these accuracy results indicates that the proposed algorithm has a Fairly Good diagnostic level. Keywords: sentiment analysis, tourist attraction, Naïve Bayes
Rancang Bangun Sistem Pintu Otomatis Berbasis IOT dan Sidik Jari untuk Manajemen Akses Mohammad Efendi Lasulika; Yulianty Lasena; Kartika Chandra Pelangi; Yusrianto Malago; Moh Aristio Loi; Muis Nanja
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16205

Abstract

Sistem penguncian pintu pada berbagai gedung, seperti perkantoran, sekolah, kampus, dan rumah, pada umumnya masih menggunakan metode manual atau mekanik sehingga pengelolaan akses ruangan menjadi kurang efektif dan efisien. Berdasarkan hasil observasi di Universitas Ichsan Gorontalo, seluruh ruang kelas masih menerapkan sistem kunci konvensional yang mengharuskan petugas membuka dan mengunci pintu secara langsung dengan mendatangi setiap ruangan. Proses tersebut dinilai kurang optimal karena membutuhkan waktu dan tenaga yang lebih besar serta berpotensi menimbulkan keterlambatan dalam pengelolaan akses ruangan. Penelitian ini bertujuan untuk merancang dan membangun sistem pengunci pintu otomatis berbasis Internet of Things (IoT) yang dapat dikendalikan melalui smartphone Android dan dilengkapi dengan autentikasi biometrik sidik jari guna meningkatkan keamanan akses pengguna. Penelitian menggunakan metode kuantitatif dengan pendekatan perancangan dan pengujian sistem. Pengumpulan data dilakukan melalui observasi, studi literatur, perancangan perangkat keras dan perangkat lunak, serta pengujian kinerja sistem pada proses akses pintu. Sistem yang dikembangkan memanfaatkan koneksi internet sehingga pengguna yang memiliki hak akses dapat melakukan pembukaan dan penguncian pintu secara otomatis tanpa menggunakan kunci konvensional. Hasil penelitian menunjukkan bahwa sistem mampu meningkatkan efisiensi pengelolaan akses ruangan, mempermudah proses buka dan tutup pintu, mengurangi ketergantungan terhadap kunci manual, serta memberikan tingkat keamanan yang lebih baik. Sistem ini diharapkan dapat diterapkan secara luas pada lingkungan pendidikan maupun perkantoran yang membutuhkan pengelolaan akses pintu yang praktis, aman, dan terintegrasi.  
Empowering Sinar Harapan UMKM Coconut Processing and E-Commerce Development in Bongohulawa Village, Gorontalo: Empowering Sinar Harapan UMKM Coconut Processing and E-Commerce Development in Bongohulawa Village, Gorontalo Kartika Chandra Pelangi; Abd Rahmat Karim Haba; Nurhayati Olii; Zohrahayaty
Amalee: Indonesian Journal of Community Research and Engagement Vol. 6 No. 2 (2025): Amalee: Indonesian Journal of Community Research and Engagement
Publisher : LP2M INSURI Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/amalee.v6i2.8425

Abstract

The Sinar Harapan MSME in Bongohulawa Village has been producing coconut oil due to its easy availability and its conventional sales system. The number of members of the Sinar Harapan MSME is 20. With this program, the membership of Sinar Harapan MSME is expected to increase in the future due to advancements in production and sales systems. The specific purpose of this community service is to develop e-commerce-based marketing strategies and expand market reach. The method used in this service involves training and mentoring on the e-commerce system's processing. The results obtained from this service are based on a questionnaire completed by 100 participants, which indicates that 83% of respondents strongly agree with the quality of the coconut oil produced.
Co-Authors Abd. Rahmat Karim Haba Apriyanto Alhamad Fatmawati Fatmawati Hermawan, Tamsil Husdi Iftinan Inayah Mohamad Irvan A. Salihi Moh Aristio Loi Mohammad Efendi Lasulika Muis Nanja Nurhayati Olii Rofiq Harun Sudirman S. Panna Tri Handayani Yasin Aril Mustofa Yulianti Lasena Yulianty Lasena Yusrianto Malago Zohrahayaty