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All Journal Jurnal Manajemen Pelayanan Publik JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Isbandi Isbandi
Universitas Islam Nusantara
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences Transportation

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Implementasi Forward Chaining Pada Sistem Pakar Sebagai Basis Informasi Persebaran Penyakit Padi Yenni Fatman; Rodianti Rodianti; Isbandi Isbandi; Rahmini Rahmini; Laila Nur
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 3 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i3.567

Abstract

Rice (Oriza sativa L) is the staple food crop for most of the population in Indonesia. In rice crops there can be crop failure, one of the causes of crop failure is rice plant disease. Every disease generally has symptoms that point to the disease itself, these symptoms can be recognized by diagnosis. Due to the lack of knowledge of farmers and limited experts in an area to diagnose diseases, an expert system for diagnosing rice plant diseases is here to provide solutions for alternative diagnoses of rice plant diseases. In this case, implementing the forward chaining method in the expert system to get the results of diagnosis of rice diseases besides that this expert system will find out geographical information on the spread of rice plant diseases in real time by taking the user's location in an area. This expert system for diagnosing rice plant diseases is a web-based application that uses the Laravel framework and for data storage using MySQL. In tests that have been carried out by experts, the accuracy value is 100%.
Leveraging Social Media Data Analytics for Tourism Marketing Policies in West Java, Indonesia Yusuf Abdullah; Asep Miftahuddin; Rispiaga Rispiaga; Deni Mulyana; Isbandi Isbandi
Jurnal Manajemen Pelayanan Publik Vol 7, No 1 (2023): Jurnal Manajemen Pelayanan Publik
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jmpp.v7i1.45229

Abstract

After the government failed to release updated data on the handling of COVID-19, the status of the pandemic in Indonesia has been declared to have ended and transitioned into an endemic disease. This policy has received various responses from the public, including the tourism sector. Therefore, the objective of this research is to gain a comprehensive understanding of the public perception regarding the issue of tourism during the endemic period by examining how people communicate through social media, particularly Twitter. The research method employed is the collection of Twitter conversations from February 2nd, 2023, at 12:00 PM WIB until March 30th, 2023, at 11:59 PM WIB using the DEA (Data Envelopment Analysis) system through Twitter's API (Application Programming Interface). The research findings indicate that out of a total of 1823 analyzed tweets, 77% of them demonstrate a positive sentiment towards tourism, while 17% or 394 tweets exhibit a negative sentiment, and only 6% or 140 tweets show a neutral sentiment. These findings present opportunities for the West Java provincial government to utilize Twitter as a valuable source of information for decision-making and policy evaluation during the endemic period.
Co-Authors Deni Mulyana Laila Nur Miftahuddin, S.Si.,MAB., asep Rahmini Rahmini Rispiaga Rispiaga Rodianti Rodianti Yenni Fatman Yusuf Abdullah