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All Journal KOMPUTEK JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Parameter: Journal of Statistics Syaikhuna: Jurnal Pendidikan dan Pranata Islam STAI Syaichona Moh. Cholil Bangkalan
Arif, Zainul
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Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences

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FORECASTING TOTAL ASSETS OF PT. BPD KALTIM KALTARA USING THE SINGLE EXPONENTIAL SMOOTHING METHOD Nurmayanti, Wiwit Pura; Ningsih, Eva Lestari; Arif, Zainul; Fathurahman, M; Hasanah, Siti Hadijah
Parameter: Journal of Statistics Vol. 4 No. 2 (2024)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2024.v4.i2.17473

Abstract

PT. BPD Kaltim Kaltara is one of the regional development banks that plays a crucial role in supporting regional economic development in East Kalimantan and North Kalimantan. The company's total assets reflect significant financial stability and growth, making it an interesting topic to analyze in the context of strategic financial planning. The purpose of this study is to use the Single Exponential Smoothing (SES) approach to forecast PT. BPD Kaltim Kaltara's total assets. In the forecasting process, alpha 0,3, alpha 0,6, alpha 0,7, and alpha 0,8 are tested to determine the best value that gives the most accurate results. Based on the forecasting accuracy analysis, the SES method with alpha = 0,7 proved to be the most optimal in predicting the company's total assets, achieving MAE = 1454272,737, MSE = 4764920751283, and MAPE = 4,0433% (excellent forecasting ability). The forecasting results show an upward trend in assets, with total assets in September 2024 estimated to reach IDR 48.440.683,75. This method provides valuable guidance in thecompany's financial strategic planning, helping to anticipate future asset developments more precisely.These forecasting results also emphasize the importance of selecting the right parameters in the forecasting model to improve prediction accuracy.
Analisis Sentimen Ulasan Pengguna Pada Aplikasi Wondr By BNI Menggunakan Metode Klasifikasi Algoritma Naïve Bayes Arif, Zainul; Irwansyah, Irwansyah
Journal of Information System Research (JOSH) Vol 6 No 3 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i3.7100

Abstract

To better serve its customers and make financial transactions easier, BNI Bank developed Wondr by BNI, a type of digital innovation in the banking industry. Users may access and download the Wondr by BNI application via the App Store for iOS devices and the Google Play Store for Android devices. To gauge the app's usefulness, reviews are required, and reviews can greatly impact the app's future updates. Consequently, the purpose of this research is to ascertain, by sentiment analysis, if reviews of the Wonder by BNI application are favorable or negative. The data used for this study came from the Google Play Store, and it was labeled using Microsoft Excel to get the positive and negative review counts. Then, it was processed with Data Preprocessing, and then weighting was done with TF-IDF to get the word counts. The data was then classified using the Naïve Bayes algorithm, and finally, it was evaluated to find out how accurate the results were. The dates of this study's execution are September 23, 2024, and January 10, 2025. Based on the data, Naïve Bayes produced rather accurate predictions, with a recall of 86.55%, a precision of 80.85%, and an accuracy rating of 83.03%. Because of its strong recall, the model was successful in identifying a small number of genuine positive cases.
Implementasi Algoritma Naïve Bayes Pada Analisis Sentimen Terhadap Ulasan Aplikasi DeepL Translate Di Play Store Komarudin, Ahmad; Ayyubi, Reza Al; Arif, Zainul; Kamayani, Mia
KOMPUTEK Vol. 8 No. 1 (2024): April
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v8i1.2604

Abstract

Perkembangan teknologi semakin maju dengan pesat, hingga terciptanya sebuah smartphone yang didalamnya tersedia berbagai fitur-fitur canggih. Play Store merupakan layanan yang dibuat oleh Google untuk pengunduhan berbagai aplikasi, game, buku digital, film secara gratis maupun berbayar. Salah satu aplikasi yang tersedia pada Play Store adalah DeepL Translate, yang merupakan aplikasi yang bisa menerjemahkan berbagai bahasa dengan menerapkan Artificial Intelegent (AI) didalamnya. Tujuan penelitian ini yaitu untuk mengevaluasi aplikasi DeepL Translate melalui analisis sentimen pada ulasan menggunakan algoritma Naïve Bayes untuk mengetahui seberapa puas pengguna dalam menggunakan aplikasi ini. Pengambilan data ulasan dilakukan menggunakan teknik scrapping dengan Google Colab sebanyak 995 data, kemudian jumlah dataset berubah menjadi 939 ulasan setelah melalui proses preprocessing dengan data positif sebanyak 771 dan 168 untuk data negatif. Dataset kemudian diseimbangkan menggunakan SMOTE dan diklasifikasikan dengan algoritma Naïve Bayes. Algoritma ini dipakai karena menggunakan probabilitas yang sederhana dan efektif dalam mengklasifikasikan sebuah data. Hasil implementasi algoritma diperoleh accuracy sebesar 93,71%, precision sebesar 98,84%, dan recall sebesar 88,85%, dengan teknik evaluasi yang digunakan adalah confussion matrix.
The Influence of Corporate Ethical Identity on the Saving Interest of Customers at BMT UGT Nusantara Arosbaya Marom, Aufal; Arif, Zainul
Syaikhuna: Jurnal Pendidikan dan Pranata Islam Vol. 16 No. 02 (2025): October
Publisher : STAI Syaichona Moh. Cholil Bangkalan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62730/syaikhuna.v16i02.7764

Abstract

This study aims to analyse the influence of Corporate Ethical Identity (CEI) on the saving interest of customers at BMT UGT Nusantara Arosbaya. The research uses a quantitative approach with a causal design. The population consists of 1,094 customers, with 66 respondents selected using purposive sampling. Data were collected through closed-ended questionnaires with a five-point Likert scale and analysed using simple linear regression. The results indicate that CEI has a significant influence on saving interest, explaining 84.7% of the variance in saving interest. This finding highlights the importance of strengthening the corporate ethical identity in building trust and customer loyalty in Islamic financial institutions. The study contributes to the development of strategies for managing customer relationships based on ethical values in Islamic financial institutions.
Co-Authors Aufal Marom, Aufal Ayyubi, Reza Al Hasanah, Siti Hadijah Irwansyah Irwansyah Kamayani, Mia Komarudin, Ahmad M. Fathurahman Ningsih, Eva Lestari Nurmayanti, Wiwit Pura