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All Journal CSRID (Computer Science Research and Its Development Journal) Jurnal Ilmiah Sinus International Journal of Computer and Information System (IJCIS) Transformasi
Riska Dwi Handayani
STMIK Bina Patria
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics

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DETEKSI EMOSI MEDIA SOSIAL MENGGUNAKAN TERM FREQUENCY- INVERSE DOCUMENT FREQUENCY Rohman, Arif Nur; Handayani, Riska Dwi; Y. P., Ryan Dwi; Kusrini, Kusrini
CSRID (Computer Science Research and Its Development Journal) Vol 11, No 3 (2019): CSRID OKTOBER 2019
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.575 KB) | DOI: 10.22303/csrid.11.3.2019.140-148

Abstract

Pada saat ini, manusia cenderung mengekspresikan pendapat, dan emosi melalui media sosial. Keterbukaan ekspresi pada media sosial membuat batasan batasan pribadi seseorang menjadi lebur. Orang tidak lagi sungkan menulis kehidupan pribadinya melalui postingan status pembaharuan untuk dilihat oleh orang lain. Penulis mencoba menggunakan data dari media sosial agar dapat dilakukan analisis untuk mendapatan informasi kepribadian termasuk emosi. Sebelum dianalisis, data dilakukan pra pemrosesan membuang symbol dan icon, normalisasi teks, stemming dan membuang stopword terlebih dahulu untuk memperbaiki data dari media sosial yang menggunakan bahasa tidak baku. Pra pemrosesan memperoleh hasil akhir 365 dataset yang dipisah menjadi 265 data latih dan 100 data uji. Tiap data sudah memiliki label emosi yang diberikan secara manual oleh pengguna facebook selaku penulis dari postingan. Perhitungan dilakukan dengan TF IDF untuk mendapatkan bobot tiap kata atau token, lalu label emosi data latih dengan nilai tertinggi diberikan pada data yang diuji. Dari 100 data uji diperoleh akurasi 59%, selebihnya 41% tidak akurat. Emosi dianggap hal penting yang berpengaruh pada seseorang dalam pengambilan keputusan, sehingga deteksi emosi seseorang dapat dimanfaatkan sebagai input sistem pendukung keputusan penerimaan pegawai dan konseling kepribadian.
Perbandingan Fitur Ekstraksi Untuk Klasifikasi Emosi Pada Sosial Media riska dwi handayani; Kusrini Kusrini; Hanif Al Fatta
Jurnal Ilmiah SINUS Vol 18, No 2 (2020): Vol. 18, No. 2, Juli 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (657.023 KB) | DOI: 10.30646/sinus.v18i2.457

Abstract

Emotions are complex conscious experiences characterizing mental states, such as excitement, anger, love, fear, and so on, as part of important human nature. Nowadays, many people express themselves as a reflection of their personality using social media. Social Media grows and becomes a method for social interaction and information sharing. Based on that, researchers tried to use social media data to classify someone's emotions. Emotional detection of text from social media is a field of research that is gaining a high interest, especially for the sake of emotional analysis. To be able to classify such emotions, researchers use comparative feature comparison and algorithms classification. The comparison of features in this research is the extraction features TF-IDF and N-gram which are then classified using Naïve bayes algorithm. However, before the extraction feature is applied, there is a pre-processing text technique using several methods: Case Folding, Stopword  Removal, and Stemming. Based on this research, techniques of extraction features in this research generating the highest accuracy value after the classification method is the TF-IDF with an accuracy value of 80%, 98% for the highest value of precision in measurement of “pleasure” emotion, 99% for the highest recall value is in “happy” emotion, and 95% for the highest F1-score value in “pleasure” emotion.
ANALISIS MISKONSEPSI PADA KONSEP GERAK LURUS MENGGUNAKAN CERTAINTY OF RESPONSE INDEX (CRI) yeza febriani; cisilia sundari; Riska Dwi Handayani; Azmi Asra; Mohammad Apriniyadi
TRANSFORMASI Vol 18, No 1 (2022): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v18i1.304

Abstract

Permasalahan pendidikan yang mendasar sering berkaitan dengan penanaman pemahaman konsep yang kadang-kadang keliru. Suatu kesalahan dalam memahami konsep yang ditunjukan dengan kesalahan saat mengungkapkan ataupun menjelaskan suatu konsep dan tidak sesuai dengan teori ilmiahnya disebut miskonsepsi. Tujuan dari penelitian adalah Menganalisis Miskonsepsi Pada Konsep Gerak Lurus Menggunakan CRI Kelas X SMA N 2 Ujung Batu. Jenis penelitian ini adalah menggunakan penelitian deskriptif. Populasi penelitian ini adalah kelas X SMA N 2 Ujung Batu, sedangkan sampelnya yaitu kelas X MIA 1 SMA N 2 Ujung Batu. Teknik pengambilan sampel menggunakan simple random sampling yaitu pengambilan anggota sampel dari populasi dilakukan secara acak tanpa memperhatikan strata yang ada dalam populasi tersebut. Dari hasil penelitian didapatkan siswa yang mengalami miskonsepsi sebesar 36,67 % dan persentase tingkat pemahaman siswa yang paling kecil terletak pada kategori “paham konsep tetapi kurang yakin” dengan rata-rata persentase 6,06 . Sedangkan rata-rata persentase pemahaman siswa pada kategori paham konsep dan tidak tahu konsep yakni sebesar 35,15  dan 22,12 .
KARAKTERISTIK FISIKA TEGANGAN ARUS DAN DIVERGENSI LASER DIODA BERBAGAI KEKUATAN DAYA YANG BERBEDA Wijaya Widjanarka Natasaputra; Fatkhurrochman Fatkhurrochman; Riska Dwi Handayani
TRANSFORMASI Vol 18, No 2 (2022): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v18i2.317

Abstract

The concept and theory of lasers was first put forward by Albert Einstein in 1917 and was first realized by researcher Theodore. H. Maiman in 1960. The invention of the laser is based on the theories of quantum physics, but research on the properties and optical characteristics of lasers, especially diode lasers is rarely carried out, so references for developing and applying them are very difficult to obtain. Lasers have coherent properties, which are parallel, massive, single-color (monochromatic) light propagations, which are different from incandescent white (polychromatic) light which is commonly known everyday from the sun, fire, lamps and so on. Laser diode devices have various types of power, which of course differ in the amount of voltage, current, strength of light in each condition (Uiga. E, 2014).The purpose of this research is to examine the physical characteristics of the diode laser, to determine the range of the current-voltage limits and the divergence angle in the radiant, to determine the characteristics of the laser diode with different powers.The research method used is experimental, which is carried out by testing variables and measuring the magnitude of the voltage, current, divergence of different powers from the diode laser.Based on the experimental results, the diode laser has a characteristic phase of the Volt-Ampere change called the laser phase. There are 3 phases that have been proven, namely the spontaneous emission phase, the transition phase, the stimulated emission phase and one characteristic that has been found, namely the power characteristics, the strong light (flux) (Uiga. E, 2014 ). The resulting data and variables can be used as a reference, study for research so that they can be used as a basis for further research.Keywords: Laser-Diode, Divergence, voltage, current, power
Web-Based Information and Reservation Media for VW Safari Borobudur Fatkhurrochman Fatkhurrochman; Riska Dwi Handayani; Yeza Febriani; Tri Yusnanto
International Journal of Computer and Information System (IJCIS) Vol 4, No 2 (2023): IJCIS : Vol 4 - Issue 2 - 2023
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v4i2.122

Abstract

Borobudur is one of the most popular tourist objects in Indonesia. Borobudur is located in Magelang Regency. Borobudur District is a center for tourism and MSME development that is able to attract the attention of both local and foreign tourists. VW Safari Magelang is one of the experienced tour guide service providers offering a complete tour package, including lodging information, Borobudur special food and other facilities around Borobudur tourist attractions. The lack of information media owned resulted in the VW Safari Borobudur being less well known. This research produces information media and website-based reservations to increase tourists' knowledge and interest in VW Safari Borobudur. In designing information media using UML with system development using the waterfall process model. To build information and reservation media, PHP and MySQL programming languages are used and the Codeigniter framework is used
Co-Authors Azmi Asra Cisilia Sundari Fatkhurrochman, Fatkhurrochman HANIF AL FATTA Kusrini Kusrini Kusrini, Kusrini Mohammad Apriniyadi Rohman, Arif Nur Tri Yusnanto Wijaya Widjanarka Natasaputra Y. P., Ryan Dwi Yeza Febriani