Article Per Year (5 Year)
p-Index From 2020 - 2025
6.978
P-Index
This Author published in this journals
All Journal Litera Bulletin of Electrical Engineering and Informatics Empathy : Jurnal Fakultas Psikologi Jurnal Online Mahasiswa (JOM) Bidang Pertanian Jurnal Pembelajaran Fisika Scientific Journal of Informatics Jurnas Nasional Teknologi dan Sistem Informasi TRANSISTOR Elektro dan Informatika Jurnal Mirai Management RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Conference SENATIK STT Adisutjipto Yogyakarta JRB-Jurnal Riset Bisnis Angkasa: Jurnal Ilmiah Bidang Teknologi Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat At-Tadbir : jurnal ilmiah manajemen Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Telematika Jurnal Sistem Cerdas Sawerigading Jurnal Hospitality dan Pariwisata Budimas : Jurnal Pengabdian Masyarakat JIKA (Jurnal Informatika) JIM (Jurnal Ilmu Manajemen) Journal of Computer Networks, Architecture and High Performance Computing Innovation in Research of Informatics (INNOVATICS) Community Empowerment Journal of Applied Data Sciences Jurnal Pendidikan dan Teknologi Indonesia Jurnal Ilmiah Wahana Pendidikan Journal of Social and Policy Issues Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Unram Journal of Community Service (UJCS) INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Society: Jurnal Pengabdian Masyarakat International Journal Artificial Intelligent and Informatics Journal Competency of Business Jurnal Dinamika Informatika (JDI) Ilmu Komputer untuk Masyarakat Journal of Mathematics Instruction, Social Research and Opinion Tropical Plantation Journal International Journal of Economics and Management Research The Es Accounting and Finance J-Icon : Jurnal Komputer dan Informatika JURNAL ABDIMAS PLJ Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Guru Indonesia Amal: Jurnal Ekonomi Syariah Global Komunika : Jurnal Ilmu Sosial dan Ilmu Politik JURNAL ILMU SOSIAL DAN ILMU POLITIK, STISIPOL RAJA HAJI Fokus Abdimas Jurnal Ilmiah Teknik Informatika & Elektro (JITEK) Scientific Journal of Informatics Jurnal Pengabdian Siliwangi Dharma: Jurnal Pengabdian Masyarakat TRJ (Tourism Research Journal) Jurnal Ilmiah Pariwisata
Rianto Rianto
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Other

Published : 62 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Scientific Journal of Informatics

 1 
Sentiment Analysis Provider By.U on Google Play Store Reviews with TF-IDF and Support Vector Machine (SVM) Method Fransiska, Susanti; Rianto, Rianto; Gufroni, Acep Irham
Scientific Journal of Informatics Vol 7, No 2 (2020): November 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v7i2.25596

Abstract

Provider By.U is a relatively new and attractive telecommunications service with claims to be the first digital provider in Indonesia. All services are done digitally with the By.U application that offers convenience. Even so not all users are satisfied with the service, there are criticisms and suggestions, one of which is delivered through the By.U app review feature on the Google Play Store. Sentiment analysis is performed to extract information related to provider by.U. The steps taken are scrapping review data, positive and negative labeling, preprocessing data including data cleaning, data normalization, stopword removal and negation handling, sentiment classification using Support Vector Machine (SVM) and TF-IDF as feature extraction. TF-IDF+SVM with 5-Fold Validation produces pretty good accuracy with an average accuracy of 84.7%, precision of 84.9%, recall of 84.7%, and f-measure of 84.8%. The highest accuracy results in fold 2, 86.1%. The effect of TF-IDF on the measurement of model performance is not so great, but it is better.
Associative Analysis Data Mining Pattern Against Traffic Accidents Using Apriori Algorithm Ruswati, Ruswati; Gufroni, Acep Irham; Rianto, Rianto
Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v5i2.16199

Abstract

Traffic accidents are one of the causes of high mortality in the community. Based on information from the World Health Organization (WHO) the number of accident victims in each year amounts to 1,300,000 fatalities, this is caused by traffic accidents that exist throughout the world. The police recorded data on accidents that occurred in several regions of East Priangan namely Ciamis and Tasikmalaya Regencies for the 2016-2017 period reaching an accident rate of ± 1500. The analysis that can be done to reduce the intensity of the occurrence of these events is to use data mining processing techniques. The right method is used by looking at the condition of the data obtained, namely the Association Rules method with the calculation of the Apriori Algorithm. This method will look for patterns of data relations that are formed from combinations of an itemset, so that knowledge will appear from large datasets. The pattern of the relationship sought is the linkages of itemset variables involved in the accident by involving 4 variables that describe the identity of the perpetrators, namely gender, age, profession and level of education and 22 attributes of the dataset. The minimum limit of support, confidence and lift ratio values used in the Apriori Algorithm calculation rules is 15%, 70% and 1.1. This value is used to get many rules that have a high level of occurrence accuracy. The results of the combination pattern calculation were 3 times iterations on each number of data in each region, the pattern of associations found in the Tasikmalaya region were the relation of the professional variables and the age of the perpetrator with the attribute of the Student profession dataset and the boundary group ages 16 to 30 years, while for the pattern associations found in the area of Ciamis Regency, namely the relation between age and education level with the attribute dataset of the 16 to 30 year age group and high school education level. The accuracy of the value obtained is calculated manually and uses one of the data mining applications as a comparison of value accuracy, namely Tanagra 1.4.
Co-Authors AA Sudharmawan, AA Abdullah Abdullah Abdurahman Abdurrahman Abdurrosyid, Moh. Acep Irham Gufroni Adriani, Hanni Afiati, Laksmita Nur Agus Riyadi Al-Husaini, Muhammad Alam Rahmatulloh Alfarez, Rifky alfi husni, alfi Aliah, Aliah Ameilia Damayanti Amelia Citra Dewi Amrina Rosyada Anggara, Afwan Anggraini, Intan Ariesta Apriansyah, Ferryma Arba Aradea Aradea Arfa, Desmayeti Ari Kusuma Wardana Arief Bakhtiar Darmawan, Arief Bakhtiar Arief Purwanto Ariyanto M, Ariyanto M Asrai Maros Atika Aini Nasution Ayu Kadek Ari Noviani, Ni Gusti Daegal, Andre Damayanti, Ameilia Dani Gilang Sujana Dewi, Triana Rosalina Diva Pari Sangga, Gusti Gede Dwianto, Rahmad Agus Dwiky Qurniawan Dwiniati, Dwiniati Efrinal, Efrinal Elda Nurmalinda Eldianson, Rio Enggar Novianto Enny Itje Sela Erik Herman Heri Ujianto Erik Iman Heri Ujianto Fallo, Hamidah Fidiantoro, Vicky firmansyah maualana sugiartana nursuwars Fransiska, Susanti Gunawan, Rohmat Hasdani, Hasdani Hidayat, Nanang Al Husni Mubarok Husni Mubarok Idayanti, Rini Idum Satia Santi Istianingsih, Nanik Istifaedah, Inggit Nurul Jasmin, Nur Shabrina Joko Santoso Juang Bertorio, Margala Judijanto, Loso Juniarsih, Delvita Koerunnisa, Koerunnisa Kurniawan, Elan Latifah, Tia M. Asyari Syahab Manto, Agus Mardana Yuda, I Wayan Maria Junetha Sihasale Metzvioleta, Metzvioleta Mhd. Arief Hasan, Mhd. Arief Mikail, Ali Astra Mohammad Syaltut Abduh, Mohammad Syaltut Muhammad Fairuzabadi Muhammad, Ariyanto Mulyaningsih, Indrya Myrza Rahmanita Na, Quan Nanik Istianingsih Naufalino, Moch. Alfarros Difa Nengsih, Neng Suryanti Nilansari, Anis Febri Nina Kusumayanti, Ni Luh Nofiyanti, Fifi Novita, Safitri Dwi Nugraha, Cindera Syaiful Nur Widiyasono Nur Widiyasono, Nur Nurasih, Zahra Nurmalinda, Elda Octarina, Dian Oktafiani, Rian Patiandari, Patiandari Poiran Poiran Purwayoga, Vega Putra, Yudha Permadya Putri, Puji Handayani Quan Na R.M.W. Agie Pradhipta Raditya Witamo, I Made Ramadhan, Muhammad Ilham Rasilah, Rasilah Raswen Efendi Riandy, Denis Victor Rima Aksen Cahdriyana Rina Sari Qurniawati, Rina Sari Riny, Riny Riska Ayu, Agustina Rizal, Randi Ruswati, Ruswati Savitri Hendradewi Setia Wardani Setiawan, Nicko Kurnia Setiawan, Retno Agus Soffi Widyanesti Priwantoro, Soffi Widyanesti Subudiani, Ni Komang Suherry Suherry, Suherry Sundring Pantja Djati survival survival Susriyanti, Susriyanti Swuanderi, Ketut Syafrudin, Teguh Syahab, Alfin Syarifuddin Syariful Fahmi, Syariful Tato Nuryanto, Tato Tri Auri Yanti Tulus Haryono, Tulus Ujianto, EIH Utami, Wahyu Sri Vismania S. Damaianti, Vismania S. Viyanti Viyanti Wayan Sudarsana Wibawa wibawa Wicaksono, Aditya Rangga Wifasari, Septi Yanuar Surya Putra Yasini, Ketut Yumna, Irsalina Zai, Supriyaman Zalfiatr, Yelmirai Zulkifli Zulkifli Zuzzaifa, Nur