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All Journal Jurnal Sosioteknologi METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Amin, Muhammad Yusril
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Social Sciences

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Analisis Sentimen terhadap Kecurangan Pemilu dan SIREKAP di Twitter menggunakan Metode Vader Lexicon dan Naïve Bayes Amin, Muhammad Yusril; Gumilang, Mukhamad Angga; Abdillah, Fauzan; Sirojudin, Achmad; Lestari, Winda Budi
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2024: SNESTIK IV
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2024.5877

Abstract

Pemilihan umum adalah krusial dalam demokrasi sebagai sarana pemilihan wakil untuk badan eksekutif dan legislatif. Di Indonesia, metode pemilihan tradisional kini disokong oleh sistem elektronik seperti Sistem Rekapitulasi Suara (SIREKAP). Namun, masalah kecurangan pemilu tetap menjadi sorotan, terutama di platform media sosial seperti Twitter. Penelitian ini menggunakan teknik analisis sentimen, termasuk leksikon VADER dan algoritma Naive Bayes, untuk menilai sentimen publik terhadap integritas pemilu dan SIREKAP. Melalui analisis data Twitter, diperoleh wawasan tentang persepsi publik. Hasilnya, yang terdiri dari 456 komentar negatif, 302 netral, dan 553 positif mengenai proses pemilu 2024, mencerminkan spektrum kompleks dari pendapat publik. Demikian juga, sentimen terkait kecurangan pemilu, dengan 1079 komentar negatif dan 181 komentar positif, menyoroti pandangan yang beragam dari masyarakat. Representasi visual seperti wordcloud membantu mengidentifikasi tema-tema utama. Penelitian ini menawarkan wawasan berharga bagi para pemangku kepentingan, membantu memahami dinamika opini publik dan menginformasikan proses pengambilan keputusan dalam meningkatkan integritas demokratis.
ANALISIS SKALABILITAS APLIKASI SMART PARKING MELALUI PENERAPAN CLEAN ARCHITECTURE Abdillah, Fauzan; Sirojudin, Achmad; Amin, Muhammad Yusril; Atmadji, Ery Setiawan Jullev
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No1.pp96-104

Abstract

This research aims to enhance the capabilities of smart parking applications with a focus on scalability, organized structure, and ease of maintenance. We adopt the principles of Clean Architecture to separate functional layers and ensure clear isolation between business logic and specific implementations. The implementation of Clean Architecture in smart parking demonstrates a structured approach with high cohesion and component independence. Tools such as freezed, Dio, and Bloc pattern contribute to the development that is maintainable and extensible. This study provides practical insights into the application of Clean Architecture in real-life scenarios, emphasizing structured features' core and efficient state management with the Bloc pattern. This approach illustrates how Clean Architecture can be effectively applied to achieve scalability, good organization, and ease of maintenance in developing smart parking applications.
ANALISIS SKALABILITAS APLIKASI SMART PARKING MELALUI PENERAPAN CLEAN ARCHITECTURE Abdillah, Fauzan; Sirojudin, Achmad; Amin, Muhammad Yusril; Atmadji, Ery Setiawan Jullev
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No1.pp96-104

Abstract

This research aims to enhance the capabilities of smart parking applications with a focus on scalability, organized structure, and ease of maintenance. We adopt the principles of Clean Architecture to separate functional layers and ensure clear isolation between business logic and specific implementations. The implementation of Clean Architecture in smart parking demonstrates a structured approach with high cohesion and component independence. Tools such as freezed, Dio, and Bloc pattern contribute to the development that is maintainable and extensible. This study provides practical insights into the application of Clean Architecture in real-life scenarios, emphasizing structured features' core and efficient state management with the Bloc pattern. This approach illustrates how Clean Architecture can be effectively applied to achieve scalability, good organization, and ease of maintenance in developing smart parking applications.
Analisis Sentimen Media Sosial Kementerian RI: Respons Warganet Memanfaatkan TextBlob Analyser Gumilang, Mukhamad Angga; Abdillah, Fauzan; Amin, Muhammad Yusril; Hasan, M
Jurnal Sosioteknologi Vol. 23 No. 2 (2024): JULY 2024
Publisher : Fakultas Seni Rupa dan Desain ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/sostek.itbj.2024.23.2.5

Abstract

Nowadays, People can express their opinions, criticism, suggestions, and even blasphemy thanks to social media. Through sentiment analysis, this study attempts to investigate how online users react to social media accounts of the Ministry of the Republic of Indonesia by using the Purposive Sampling method. From 2022 to 2023, we collected 100 comments from users on Instagram, Facebook, and Twitter. The election was made by looking at the posts that received the most likes and comments. After that, TextBlob techniques were used to analyze the emotions of 3400 comments collected from 34 ministries. Based on Presidential Regulation Number 68 of 2019, our analysis is focused on four groups of ministries: coordinators and three group ministries. The Ministry of Group II had the highest percentage of unfavorable sentiment, reaching 15.8%. On the other hand, Group III ministries lead with the largest percentage of favorable opinions at 54.6%. This data provides an idea of how responsive the administration has been for the past two years to the public's wishes revealed on social media.
Co-Authors Atmadji, Ery Setiawan Jullev FAUZAN ABDILLAH Gumilang, Mukhamad Angga Lestari, Winda Budi M Hasan Sirojudin, Achmad