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Journal : The Indonesian Journal of Computer Science

Analisa Performansi Komunikasi Lora (Long Range) pada Sistem Monitoring Buoy di Laut Sa'adah, Nihayatus; Aries Pratiarso; Faridatun Nadziroh; Nailul Muna; Karimatun Nisa’; I Gede Puja Astawa; Tri Budi Santoso; Sultan Syahputra Yulianto
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4462

Abstract

LoRa (Long Range) is a leading technology in Low Power Wide Area Networks (LPWAN), ideal for Internet of Things (IoT) applications. Designed for long-range communication with low power consumption, LoRa is used in monitoring navigation buoys, critical aids in marine waters. An IoT-based monitoring system is essential for maintaining buoy functionality. LoRaWAN, with a range of 15 kilometers under line of sight (LoS) conditions, is employed for IoT connectivity in this system. In this study, 915 MHz LoRa communication was used in buoy monitoring, with performance evaluated based on signal-to-noise ratio (SNR) and received signal strength indicator (RSSI). Measurements showed an average RSSI greater than -120 dB and an average SNR greater than -20 dB, indicating LoRa's suitability as a communication network for buoy monitoring systems.
Instrumental Music Emotion Recognition with MFCC and KNN Algorithm Santoso, Tri Budi; Dutono, Titon
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3152

Abstract

Every piece of music contains emotion in every sound presented. Detection of the music emotion is quite difficult to do because the emotions felt are subjective. Based on this problem, it is necessary to have an automatic classification system to detect the emotions produced in music. In this paper, an explanation of the result to develop an emotional classification system of instrumental music. This system described the process starting with the receiving an input in the form of a music file in the format wav. Furthermore, the feature extraction process is carried out using Mel-Frequency Cepstral Coefficients (MFCC). The result of the extraction of such features are used in the classification process using the K-Nearest Neighbor (K-NN). The system produced output in the form of happy, relaxed, and sad emotions. The output of the system has a classification achieved an accuracy of 97.5% for the value of k = 1, reaching an accuracy of 95% for the value of k = 2.95% and for k = 3, reaching an accuracy of up to 90%.
Co-Authors Achmad Basuki Achmad, Fariz Afifah, Izza Nur Agil Almas Agus Indra Gunawan Ahmad Baihaqi Adi Putro Ahmad Izzudin Aji, Rendra Suprobo Amang Sudarsono, Amang Andang Sudarmono Anggraeni, Martianda Erste Anggraini , Martianda Erste Anisa Rizki Julfatwiah Anteti Andinafar Ari Wijayanti Ari Wijayanti Aries Pratiarso Ashafidz Fauzan Dianta, Ashafidz Fauzan Ashafidz Fauzan, Ashafidz Budi Aswoyo, Budi Cahyanto, Erindra Budi Cemy Nur Fitria Darmawan, Zakha Maisat Eka Dewi, Florista Dinda Ayu Oktaviasari Dwi Handoyo Dwi Susanto Endang Widjiati Faradisa, Rosiyah Faridatun Nadziroh Fathoni, Kholid Fatoni Hutagalung Fitriana, Azizah Nur Fitriana, Fia Florista Dewi Gamantyo Hendrantoro Hari Wahjuningrat Suparno Harumi, Linda Hary Octavianto I Gede Puja Astawa I Gede Puja Astawa I Gede Puja Astawa, I Gede Ika Subekti Wulandari, Ika Subekti Izza Nur Afifah Kanthi Suratih Karimatun Nisa Karimatun Nisa’ Kristyawati, Dian Kurniajaya, Moga M. Hafiduddin Machmud Roby Alhamidi, Machmud Roby Mardawia M Panrereng Megasari, Anis Laela Miftachul Huda Miftahul Huda Mike Yuliana Moga Kurniajaya Moh. Zikky, Moh. Mohamad Ridwan Mohamad Ridwan Mr. Arifin Muhammad Edy Hidayat Muhammad Hafiduddin Muhammad Kholid Saifulloh Mujahidatul Musfiroh Nadziroh, Faridatun Nailul Muna NIHAYATUS SAADAH Nur Adi Siswandari Okkie Puspitorini Okkie Puspitorini, Okkie Paramita Eka Wahyu Lestari Prihantono, Prihantono Prima Kristalina Rahmaningrum, Ainulia Salsabila Raihan, Dafa Ramadhani, Aura Kamilla Rante, Hestiasari Rena Widyaningtyas Reni Soelistijorini Rini Satiti Sa'adah, Nihayatus Salwadilla, Ika Shafira Sendi Eka Nilasari, Sendi Eka Setyani, Rizka Ayu Soelistijorini, Reni Sri Mulyani Sultan Syahputra Yulianto Supriyatno, Abigael Thea Rahmany Susilowati, Amanda Bintang Thariqo Falsafah Titon Dutono Tri Winarno Umi Fitria P Wahyu, Gilang Arya Widi Sarinastiti Wirawan Wirawan Yoedy Moegiharto Yudha, Kurniawan Try Zainuddin, Muhammad Agus Zikky, Moh