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All Journal SOLUSI Jurnal Komtika (Komputasi dan Informatika)
Dewi, Rani Kurnia
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Computer Science & IT Economics, Econometrics & Finance Engineering Social Sciences Other

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ANALISIS POTENSI FINANCIAL DISTRESS : MODEL FULMER Dewi, Rani Kurnia; Prabasari, Bonita
Solusi Vol. 22 No. 2 (2024): April
Publisher : Fakultas Ekonomi, Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/slsi.v22i2.8998

Abstract

Adanya PSBB sebagai bentuk penanggulangan penyebaran pandemi Covid19 berdampak pada sektor transportasi dan logistik, karena berkurangnya pengguna akibat dari pembatasan mobilisasi masyarakat oleh pemerintah. Penurunan pengguna ini membuat perusahaan mengalami penurunan penghasilan. Penelitian ini bertujuan untuk mengetahui pengaruh fenomena pandemi Covid-19 terhadap potensi financial distress perusahaan dan untuk mengetahui apakah terdapat perbedaan potensi financial distress yang signifikan antara sebelum dan selama pandemi Covid-19. Jenis data pada penelitian ini adalah data kuantitatif yang berupa laporan keuangan perusahaan sektor transportasi dan logistic. Objek pada penelitian ini yaitu perusahaan sektor transportasi dan logistik yang tercatat di Bursa Efek Indonesia pada tahun 2017-2022. Metode yang digunakan untuk menentukan sampel yaitu Purposive Sampling, dengan data sampel yang digunakan sebanyak 12 perusahaan pada sektor transportasi dan logistik yang terdaftar di Bursa Efek Indonesia dari tahun 2017-2022. Teknik analisis financial distress pada penelitian ini menggunakan model prediksi kebangkrutan Fulmer. Kemudian hasil analisis model Fulmer tersebut dilakukan pengujian normalitas data Shapiro-Wilk dan dilakukan uji beda Wilcoxon Signed Rank Test dengan menggunakan program SPSS Statistics. Hasil penelitian ini menyimpulkan bahwa pandemi Covid-19 berpengaruh terhadap potensi financial distress pada perusahaan transportasi dan logistik. Akan tetapi, pandemi Covid-19 tidak memberikan perbedaan pengaruh yang signifikan terhadap potensi financial distress sebelum dan selama pandemi Covid-19.
Implementasi Metode Forward Chaining, Certainty Factor dan Dempster Shafer pada Sistem Pakar Diagnosis Penyakit Gigi dan Mulut Nurajizah, Siti; Yulianti, Ita; Saputra, Elin Panca; Dewi, Rani Kurnia
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 2 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i2.5995

Abstract

Dental and oral disease is one of the diseases that has been felt by most of the people. Insufficient information and the limited level of public awareness of the prevention of dental and oral diseases make the impact quite dangerous if not handled properly. An appropriate information system is needed in overcoming and providing solutions for handling a disease as early as possible. Expert systems can be used as a means of information on the treatment of dental and oral diseases. The manufacture of the expert system in this study initially used the forward chaining method, which is a method that searches based on information that is made into a set of rules so as to get a conclusion. However, after re-analysis, two other methods, namely certainty factor and dempster shafer, were also applied in this study with the aim of overcoming the shortcomings of the forward chaining method, one of which is uncertainty in producing a conclusion or diagnosis of disease. Determining the type of dental and oral disease can be known by looking at the symptoms experienced by the patient. The use of an expert system for diagnosing dental and oral diseases can be used as an initial solution in helping someone to treat the disease. The existence of this expert system can be used as consideration in making decisions to determine the type of dental and oral disease quickly, precisely and accurately.
Co-Authors Ita Yulianti Panca Saputra, Elin Prabasari, Bonita Siti Nurajizah, Siti