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All Journal KLIK: Kajian Ilmiah Informatika dan Komputer Journal Peqguruang: Conference Series Adpebi Science Series
Hasbiana, Hasbiana
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PENGARUH MODEL FLIPPED CLASSROOM DENGAN ALAT PERAGA TERHADAP HASIL BELAJAR MATEMATIKA SISWA MTs HUSNUL KHATIMAH Hasbiana, Hasbiana; Sahabuddin, Chuduriah; Febryanti, Febryanti; Ardiansyah, Ardiansyah
Journal Peqguruang: Conference Series Vol 5, No 1 (2023): Vol 5, No 1 (2023): Peqguruang, Volume 5, No.1, Mei 2023
Publisher : Universitas Al Asyariah Mandar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35329/jp.v5i1.2951

Abstract

Penelitian ini ialah penelitian eksperimen dengan maksud untuk mengetahui pengaruh model flipped classroom dengan alat peraga terhadap hasil belajar Matematika siswa. Populasi pada penelitian ini ialah semua siswa kelas VIII MTs Husnul Khatimah yang berjumlah 61 orang dan sampelnya ialah kelas VIIIB selaku kelas kontrol dan kelas VIIIC selaku kelas eksperimen. Instrumen dalam penelitian ini menggunakan tes belajar matematika siswa, lembar observasi aktivitas siswa, dan lembar observasi keterlaksanaan pembelajaran. Data ini diolah dengan statistik deskriptif serta statistik inferensial. Setelah diolah hasil analisis deskriptif diperoleh posttest yakni meannya dari hasil belajar Matematika kelas eksperimen ialah 84,46 dan kelas control sebanyak 71,69. Data perhitungan uji-t pada data posttest diperoleh nilai  sebanyak 4,18  dan pada nilai ialah 1,68 itu berarti  yakni 4,18  1,685. Dari hasil analisis statistik deskriptif dan statistik inferensial dapat ditarik kesimpulan bahwasanya penggunaan model pembelajaran flipped classroom dengan alat peraga papan SPLDV berpengaruh pada hasil belajar Matematika siswa kelas VIII MTs Husnul Khatimah.
Design of Decision Support System Determination of Indonesian Smart Card Receiver (KIP) Using Simple Additive Weighting (Saw) Method Based On Mobile Web Anggun, Dewi Anggun; Hasbiana, Hasbiana; Selvy, Selvyani; Siska, Siska Ulandari; Indah, Indah Sari; Bunga, Bunga Intan; Andri, Andri Anto Tri Susilo
Adpebi Science Series 2022: 1st AICMEST 2022
Publisher : ADPEBI

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Abstract

In addition, education is a very decisive instrument in contributing to the progress of a nation in building the character of the nation. Smart Indonesia Card (KIP) is a card that is given as a marker or identity of the recipient of the Smart Indonesia Program (PIP) assistance. The Smart Indonesia Card (KIP) provides assurance and certainty that school – age children are registered as recipients of educational assistance. Each child receiving PIP education assistance is only entitled to receive 1 KIP card.
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%.
Co-Authors Andri, Andri Anto Tri Susilo Anggun, Dewi Anggun ARDIANSYAH ARDIANSYAH Bunga, Bunga Intan Febryanti, Febryanti Indah, Indah Sari Sahabuddin, Chuduriah Selvy, Selvyani Siska, Siska Ulandari Sunardi, Lukman Wulandari, Cindi