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All Journal Jusikom : Jurnal Sistem Komputer Musirawas JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Teknologi Informasi MURA MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Digital Teknologi Informasi Informanika Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer JSK (Jurnal Sistem Informasi dan Komputerisasi Akuntansi) Jurnal Informatika dan Komputer (JIK) Jurnal Teknologi Informasi Mura Kohesi: Jurnal Sains dan Teknologi
Sunardi, Lukman
Program Studi Informatika – Universitas Bina Insan Lubuklinggau
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Other

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Analisis Sentimen Aplikasi Spotify Pada Ulasan Pengguna di Google Play Store Menggunakan Metode Support Vector Machine Wulandari, Cindi; Sunardi, Lukman; Hasbiana, Hasbiana
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1762

Abstract

The Spotify app makes it easy for users to listen to their favorite songs. Usually the Spotify App is accessed on a smartphone so that it can be played at any time.  Today's digital generation can use technology in the form of music, music can affect human feelings and thoughts. The increasing number of Spotify application users on the Google Play Store, raises a variety of user reviews of the application. These reviews can be in the form of positive or negative comments. Addressing this, it is necessary to conduct sentiment analysis in order to provide a deeper understanding of user perceptions and grouping of user reviews of the Spotify application. Sentiment analysis is a case study of opinions, feelings, and emotions expressed in texs. The number of diverse reviews requires classification of reviews into positive and negative classes using the Support Vector Machine method. The purpose of this research is so that it can be examined to what extent the positive and negative reviews can be used as a reference in building the Spotify application to be even better. Object classification is done based on training data that uses the closest distance or similarity to the object for convenience. Using 5000 relevant review data from December 2023 to January 2024. After the labelling stage is carried out into positive and negative classes, there are 3193 positive and 1347 negative comments. The results of sentiment analysis testing using the Support Vector Machine method resulted in an accuracy of 85%, precision 86%, recall 92% and f1-score 89%.
PERANCANGAN ALAT UKUR SISTEM MONITORING TERHADAP SUHU DAN KELEMBABAN TANAH BERBASIS IOT (INTERNET OF THINGS) DENGAN MENGGUNAKAN WEB MOBILE DI DESA MUARA KATI KABUPATEN MUSI RAWAS Sobri, Ahmad; Nurdiansyah, Deni; Sunardi, Lukman
Jusikom : Jurnal Sistem Komputer Musirawas Vol 8 No 2 (2023): Jusikom : Jurnal Sistem Komputer Musi Rawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v8i2.2145

Abstract

The purpose of this study was to determine the level of soil temperature and humidity in the village of Muara Kati, Musi Rawas Regency. The use of pH temperature and soil moisture measuring devices will have an impact on the crop yields of farmers in the Muara Kati sub-district and will also develop the community in cultivating other plantation crops if the soil impacts are good. The measurement tools used are arduino uno, usb cable, arduino IDE, Ethernet Shield, Twisted Pie cable, and a webmobile design system that uses UML, PHP and MySQL which helps this system. to make a temporary design for the system to be made, namely use cases, activity diagrams, sequence diagrams and also class diagrams. This system also displays a page that will detect the flow of the senor on the hardware and will display the level of soil acidity at soil pH and the temperature unstable in soil management and also good moisture content in the soil caused by unstable humidity.
Co-Authors Ali Amran Andri Anto Tri Susilo, Andri Anto Armanto, Armanto Bimastari, Tri Hasanah Bunga Intan dedi irawan Firlando, Rais Frima, Aren Hasbiana, Hasbiana Lukman Hakim Lukman Hakim LW, Harma Oktavia Muhammad Nur Alamsyah Nurdiansyah, Deni Priyadi Wisata3 Rohani, Dewi Rudi Kurniawan Rudi Kurniawan Sinta Purnamasari, Sinta sobri, ahmad Syaifudin, Pebrian Wijaya, Harma Oktavia Lingga Wulandari, Cindi Yuliani Waruwu