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All Journal Jurnal Teknologi Informasi Cyberku Innovative: Journal Of Social Science Research Journal of Economics, Business, Management, Accounting And Social Sciences Fokus Abdimas
Assiva, Mochamad Amry
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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METODE FASTICA UNTUK REDUKSI DATA DIMENSI TINGGI PADA ANALISIS SENTIMEN PARIWISATA KOTA SEMARANG MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE Mochamad Amry Assiva; Heru Agus Santoso; Catur Supriyanto
Jurnal Teknologi Informasi - Cyberku (JTIC) Vol 15 No 1 (2019): Jurnal Teknologi Informasi CyberKU Vol. 15, no 1
Publisher : Program Pascasarjana Magister Teknik Informatika, Universitas Dian Nuswantoro

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Abstract

Some communities have a voice attractions via Twitter. The opinion can be used as sentiment analysis to determine the ratings of a tourist attraction. Results of sentiment analysis is expected to assist in the improvement and evaluation of the attraction. In related research sentiment analysis previously used linear dimension reduction method, but has the disadvantage produce a linear combination of all the features that will have difficulty if dealing with data that is non-linear. Therefore, in this study used methods of non-linear dimension reduction, namely FastICA in order to improve the accuracy of Support Vector Machine classifier that can handle high-dimensional and non-linear data. This study uses the Indonesian language text contained on the social networking site Twitter. Validation is done by using a 10-Fold Cross Validation. While the measurement accuracy is measured by the Confusion Matrix and ROC curves. Results application of dimension reduction FastICA gain accuracy of 92.90% and the AUC 0.9157 which means the accuracy of 0.95% better than on Support Vector Machine itself, is proven to increase the accuracy of the SVM algorithm on the non-linier tweet data of attractions in the city of Semarang that can be classified by both in positive and negative class.
PERANCANGAN WEBSITE DESA KRANGGANHARJO UNTUK MEDIA INFORMASI DAN PENGEMBANGAN POTENSI DESA Ajipangestu, Drajad Bima; Assiva, Mochamad Amry; Tanuji, Hadi
JOURNAL OF ECONOMICS, BUSINESS, MANAGEMENT, ACCOUNTING AND SOCIAL SCIENCES Vol. 2 No. 3 (2024): MARCH 2024
Publisher : PUTRA JAWA PUBLISHER

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Abstract

Krangganharjo Village, placed in the Toroh, Grobogan Regency, Central Java, Indonesia. Possesses untapped potential not widely recognized by the community. The introduction of this website aims to promote the village's natural and culinary tourism and serve as an accessible information platform for all residents of Krangganharjo Village. The website is developed using the SDLC waterfall method, in stages to produce a website to maximize the village's potential, as well as a medium for village information. This website can be used as an information service for the village government. It serves as both an informational hub for the village government and a promotional tool to showcase the village's offerings to both residents and visitors alike. The website development process included several stages: initiation, planning and system requirements gathering, implementation and programming, feasibility testing, system migration, and ongoing maintenance and support. Additionally, officials from Krangganharjo Village received website management training as part of this initiative. The website is now accessible at https://krangganharjo.id/.
PERANCANGAN DAN PELATIHAN APLIKASI SISTEM AKADEMIK SMK NEGERI 2 PURWODADI (SIKUAD) Assiva, Mochamad Amry; Tanuji, Hadi; Ajipangestu, Drajad Bima
Fokus ABDIMAS Vol 3, No 2: Oktober 2024
Publisher : STIE Pelita Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34152/abdimas.3.2.121-125

Abstract

This community service journal focuses on the design and training of an academic system application (SIKUAD) at SMK Negeri 2 Purwodadi. The project aimed to develop an efficient system for managing academic data and to provide comprehensive training for its users. The research employed action research methodology, involving needs analysis, system design, application development, testing, training, and evaluation phases. Results indicated successful application development tailored to user needs, enhanced data management efficiency, and improved IT skills among school stakeholders. Training sessions were effective in equipping users with necessary skills, leading to positive feedback and enhanced academic data management practices.The website is now accessible at sikuad.smkn2purwodadi.sch.id
Analisis Sentimen Terhadap Pariwisata di Kabupaten Grobogan Berbasis Orange Menggunakan Naive Bayes Assiva, Mochamad Amry
Innovative: Journal Of Social Science Research Vol. 4 No. 6 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i6.16469

Abstract

Industri pariwisata merupakan sektor penting dalam perekonomian, termasuk di Kabupaten Grobogan, yang memiliki berbagai destinasi wisata. Ulasan wisatawan dapat memberikan wawasan berharga mengenai pengalaman mereka, yang dapat digunakan oleh pengelola untuk meningkatkan kualitas pelayanan. Penelitian ini bertujuan untuk melakukan analisis sentimen terhadap ulasan wisatawan di Kabupaten Grobogan menggunakan model Naive Bayes yang diterapkan pada platform Orange. Data ulasan yang dikumpulkan dari Google Reviews dianalisis untuk menentukan apakah sentimennya positif, negatif, atau netral. Hasil penelitian menunjukkan bahwa mayoritas ulasan wisatawan memiliki sentimen positif, meskipun beberapa keluhan mengenai fasilitas dan infrastruktur masih perlu perbaikan. Akurasi model Naive Bayes yang digunakan dalam penelitian ini adalah 85%, yang menunjukkan bahwa model ini efektif dalam melakukan analisis sentimen dalam konteks pariwisata.
Co-Authors Ajipangestu, Drajad Bima Catur Supriyanto Hadi Tanuji Heru Agus Santoso