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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi INTECOMS: Journal of Information Technology and Computer Science
Januarsyah, Firly
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Computer Science & IT Economics, Econometrics & Finance

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Analisis Tingkat Kepuasan Mahasiswa dalam Kegiatan UKM di Stikom CKI Menggunakan Algoritma Naive Bayes Arvianto, Ramdani; Tundo, Tundo; Tresia, Eflin; Januarsyah, Firly
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp206-214

Abstract

The main problem in increasing the level of student satisfaction in UKM activities at STIKOM CKI is caused by various factors, including the rare frequency of meetings and the multiplication of material without significant development. This dissatisfaction can reduce students' interest in actively participating in UKM activities, which should be a source of positive experiences and skills development. Well-managed SME activities can be an important means of developing soft skills such as leadership, team collaboration and communication skills. However, when these activities are not managed well, the results can be counterproductive, causing frustration and dissatisfaction among students. Based on these problems, an application of the Naive Bayes algorithm will be carried out to determine the satisfaction level of STIKOM CKI students with 80 training data and 6 test data. After calculating, an accuracy rate of 83.33%, recall of 33.33%, and precision are obtained. 100%. Therefore, it is important to manage student satisfaction levels to avoid being counterproductive. One of the appropriate data mining algorithms to solve the case above is to use the Naive Bayes algorithm.
Implementasi Alat Pendeteksi Ketinggian Air Menggunakan Arduino Via Telegram Berbasis IoT Pada RT 01 Malaka Jaya Akbar, Ridho; Faturrahman, Muhammad; Januarsyah, Firly; Lestari, Sri
INTECOMS: Journal of Information Technology and Computer Science Vol 8 No 1 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v8i1.14495

Abstract

Sistem pemantauan ketinggian air merupakan aspek utama pengelolaan sumber daya air dan pencegahan bencana, terutama di daerah rawan banjir. Tujuan dari penelitian ini adalah untuk mengembangkan alat pendeteksi ketinggian air berbasis Internet of Things (IoT) yang menggunakan aplikasi Arduino dan Telegram sebagai media komunikasinya. Alat ini dilengkapi sensor ultrasonik yang mengukur jarak antara permukaan air dan sensor, sehingga masyarakat bisa dengan mudah mengetahui ketinggian air secara akurat. Data yang diterima diproses oleh mikrokontroler Arduino dan dikirim secara real time ke aplikasi Telegram, sehingga masyarakat dapat menerima notifikasi dan pembaruan mengenai ketinggian air di lokasi yang dipantau. Sistem ini dirancang agar mudah diakses dan dioperasikan oleh publik dan dapat dipasang di berbagai lokasi termasuk sungai, danau, dan waduk. Dapat disimpulkan bahwa penelitian alat ini dapat memberikan informasi dengan cepat dan akurat, membantu masyarakat membuat keputusan terkait pengelolaan air dan tindakan pencegahan terhadap potensi bencana. Setelah di lakukan penelitian, semoga alat ini akan membantu meningkatkan kewaspadaan masyarakat terhadap risiko banjir dan lebih siap menghadapi risiko.
Analisis Tingkat Kepuasan Mahasiswa dalam Kegiatan UKM di Stikom CKI Menggunakan Algoritma Naive Bayes Arvianto, Ramdani; Tundo, Tundo; Tresia, Eflin; Januarsyah, Firly
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp206-214

Abstract

The main problem in increasing the level of student satisfaction in UKM activities at STIKOM CKI is caused by various factors, including the rare frequency of meetings and the multiplication of material without significant development. This dissatisfaction can reduce students' interest in actively participating in UKM activities, which should be a source of positive experiences and skills development. Well-managed SME activities can be an important means of developing soft skills such as leadership, team collaboration and communication skills. However, when these activities are not managed well, the results can be counterproductive, causing frustration and dissatisfaction among students. Based on these problems, an application of the Naive Bayes algorithm will be carried out to determine the satisfaction level of STIKOM CKI students with 80 training data and 6 test data. After calculating, an accuracy rate of 83.33%, recall of 33.33%, and precision are obtained. 100%. Therefore, it is important to manage student satisfaction levels to avoid being counterproductive. One of the appropriate data mining algorithms to solve the case above is to use the Naive Bayes algorithm.
Co-Authors Arvianto, Ramdani Faturrahman, Muhammad Ridho Akbar Sri Lestari Tresia, Eflin Tundo, Tundo