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All Journal Indonesian Journal of Strategic Management Jurnal Sisfokom (Sistem Informasi dan Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar SERAMBI: Jurnal Ekonomi Manajemen dan Bisnis Islam REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Neraca Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Sains Teknologi dan Sistem Informasi Jurnal Pengabdian Kepada Masyarakat Jurnal Minfo Polgan (JMP) Jurnal Manajemen Jurnal Teknologi Informasi Cyberku Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Ilmu Sosial dan Humaniora Digital Transformation Technology (Digitech) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Jurnal Manajemen Informatika dan Bisnis Digital IC Tech: Majalah Ilmiah Bisma : Business and Management Journal Jurnal Surya Informatika IC Tech: Majalah Ilmiah Jurnal Esensi Infokom : Jurnal Esensi Sistem Komputer dan Informasi
Fenilinas Adi Artanto
Universitas Muhammadiyah Pekajangan Pekalongan
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Perception of user opinions towards Sharia mobile banking applications in Indonesia based on comments on Google Play Store Rosanti, Cholisa; Artanto, Fenilinas Adi; Saputra, Reza Edi
SERAMBI: Jurnal Ekonomi Manajemen dan Bisnis Islam Vol 7 No 1 (2025)
Publisher : LPMP Imperium

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36407/serambi.v7i1.1486

Abstract

This research aims to evaluate user perceptions of the performance of m-banking applications at Islamic banks by analyzing user reviews on the Google Play Store from 4 July 2023 to 4 July 2024. The research results show that the BSI Mobile and Jago Syariah applications are the most downloaded and have the most reviews, indicating a high number of active users. Analysis using the Bag of Words (BoW) and Support Vector Regression (SVR) methods shows excellent performance in predicting user sentiment, with an accuracy of more than 90% on six sharia m-banking applications, where the Aladin Syariah application achieved the highest accuracy of 98. 54%. Research findings show that positive perceptions of the app's ease of use contribute to user loyalty. At the same time, complaints regarding the login and registration process must be improved. Positive reviews such as "good job" and "steady" dominate the BSI Mobile and Jago Syariah applications, reflecting the popularity of both applications. Public interest statement The unique features such as gold transactions on the Pegadaian Syariah application provide competitive advantages that other Sharia banks can adopt. These results provide strategic insights for Islamic banks to improve and develop their m-banking services.
Pengaruh Kualitas Produk, Citra Merek dan Harga dalam Mempengaruhi Keputusan Pembelian Smartphone Android Haifan Tri Buwono Joyo Pangestu; Fenilinas Adi Artanto
MAMEN: Jurnal Manajemen Vol. 3 No. 4 (2024): Oktober 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/mamen.v3i4.4259

Abstract

This research aims to analyze factors that can influence the decision to purchase an Android smartphone  in the Pekalongan Regency area using the Partial Least Square-Structural Equation Modeling (PLS-SEM) method. The factors studied are product quality (X1), brand image (X2), and price (X3). From distributing the questionnaire, it was found that the number of respondents was 53 people who were selected using the purposive sampling method, namely Android smartphone  users in the Pekalongan Regency area. The majority of respondents obtained were male students who worked as students. The data collected was analyzed using SmartPLS 3 software. The results showed that the variables product quality (X1), brand image (X2), and price (X3) had a significantly positive influence on purchasing decisions for Android smartphone s in the Pekalongan Regency area. The R-square value obtained was 0.979, which indicated that the variables product quality, brand image and price had an influence of 97.9% in the decision to purchase an Android smartphone . Apart from that, each variable also has a P-value of less than 0.05, which shows that there is a significant relationship between these variables and the decision to purchase an Android smartphone  in the Pekalongan Regency area.
Evaluasi Metode Exponential Smoothing dan Moving Average Untuk Peramalan Data Pengangguran di Indonesia Fatkhudin, Aslam; Artanto, Fenilinas Adi; Zamaroh, Firda; Azarine, Vida Alisa
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 5 (2025): JPTI - Mei 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.640

Abstract

Pengangguran merupakan salah satu permasalahan ekonomi yang dapat mempengaruhi pertumbuhan dan kesejahteraan suatu negara. Di Indonesia tingkat pengangguran yang terus meningkat menjadi masalah yang serius dan memerlukan peramalan tingkat pengagguran yang akurat sehingga dapat dijadikan sebagai pendukung Pemerintah dalam memberikan kebijakan. Penelitian ini melakukan peramalan angka pengangguran dengan membandingkan akurasi dari metode Exponential Smoothing dan Moving Average dalam memprediksi pengangguran menggunakan data pengangguran dari tahun 1986 sampai dengan 2024 yang didapatkan dari situs website resmi Badan Pusat Statistik (BPS). Evaluasi dilakukan dengan membandingkan nilai dari Mean Absolute Error (MAE) dan Root Mean Square Error (RMSE). Dari lima metode yang di uji yaitu metode Single Exponential Smoothing, Double Exponential Smooting, Multiple Exponrntial Smoothin (Holt Winter), Singel Moving Average dan Autoregressive Integrated Moving Average (Arima), mendapatkan hasil yang menunjukan bahwa metode Double Exponetial Smoothing menjadi metode terbaik dengan menghasilkan nilai MAE sebesar 530.800 dan RMSE sebesar 707.182. Sehingga dalam melakukan peramalan Tingkat pengangguran di Indonesia disarankan menggunakan metode Double Exponential Smoothing dengan parameter nilai alpha 0,31 dan beta 0,81. Hasil peramalan yang mendekati aslinya akan memberikan hasil yang akurat yang akan memberikan kemudahan dalam pengambilan Keputusan terkait kebijakan pemerintah dalam mengatasi pengangguran di Indonesia.
Workshop Pemanfaatan Digital Marketing dalam Pemasaran Bank Sampah Fenilinas Adi Artanto
PaKMas: Jurnal Pengabdian Kepada Masyarakat Vol 5 No 1 (2025): Mei 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/pakmas.v5i1.3242

Abstract

Waste banks are one solution in overcoming environmental problems, especially in organized waste management. However, the lack of information and education about the importance of waste banks in society is a major challenge in managing waste banks. This activity aims to increase community participation in strengthening the waste bank movement by utilizing digital marketing. This activity provides a digital marketing workshop which provides training on marketing strategies through digital media and also creating social media content. In this case, Instagram social media is used as the main platform for disseminating waste bank information. Participants are taught how to create content in the form of educational content, informational content and creative content (out of the box) that can attract public attention and increase public awareness about waste banks. The result of this activity is an increase in the readiness of waste bank managers to utilize Instagram media as a suggestion for more effective information dissemination, by optimizing educational content, informational content and creative content (out of the box). This activity is expected to be able to support waste banks in managing waste more responsibly and increase community participation in the waste bank program.
Metode Support Vector Machine (SVM) dan Lexicon-Based dalam Analisis Sentiment Ulasan Pengguna Aplikasi Wink Syahrudin, Syahrudin; Fenilinas Adi Artanto; Ahmad Rifqi Maulana; Filsafat, Filsafat
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.5236

Abstract

Sentiment Sentiment Analysis is an important method in understanding user opinions of an application. This study aims to analyze the sentiment of users of the Wink application on the Google Play Store, which is a popular application that uses Artificial Intelligence (AI) in photo and video editing that has many templates and is easy to use. Sentiment analysis was carried out using the Lexicon-Based approach and the Support Vector Machine (SVM) classification algorithm. Data was taken from reviews on the Google Play Store Wink Application which obtained 1905 review data showing that 78.6% of users gave a rating of 4 to the application, while the Lexicon-Based approach identified 69.5% of reviews with positive sentiment values ​​with many words that appear are "good", "very" and "very" where this is in accordance with the number of good ratings given also providing sentiment reviews that are mostly positive. By using the Support Vector Machine (SVM) classification algorithm, high accuracy results were obtained, namely 95% with a recall value of 1.00 and a precision of 0.93, which shows that the combination of the Lexicon-Based approach and the Support Vector Machine (SVM) algorithm is said to be effective in analyzing sentiment in Wink application reviews.
Comparison of Classification Algorithms with Bag of Words Feature in Sentiment Analysis Artanto, Fenilinas Adi
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 3 (2025): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i3.2426

Abstract

The rapid growth of digital culture, especially on social media platforms, has led to the emergence of unique viral phenomena characterized by unconventional humor and illogical logic such as the Italian brainroot anomaly. Although there have been many studies on sentiment analysis, there is still a lack of studies focusing on cultural sentiment such as humor in the Italian brainroot anomaly. This study provides an overview of user sentiment analysis of the game “Hantu Tung Tung Tung Sahur 3D,” a culturally viral application anomaly italian brainroot among young people on the Google Play Store during the month of Ramadan. User reviews were collected through web scraping, and data preprocessing involved tokenization, stopword removal, lowercase, stemming, and filtering to prepare the text for analysis. Feature extraction was performed using the Bag of Words method. This study compares the performance of four widely used classification algorithms—Support Vector Machine (SVM), Naïve Bayes, Decision Tree (C4.5), and Random Forest—implemented through Orange Data Mining software, with evaluation based on K-Fold Cross Validation. The novelty of this study lies in its focus on sentiment analysis in a unique and culturally viral digital context, as well as a comparative evaluation of classification algorithms specifically on this dataset. The results show that the Random Forest algorithm achieves the highest Area Under the Curve (AUC) score of 0.529, outperforming Naïve Bayes (0.504), SVM (0.503), and Decision Tree (0.498). These findings provide new insights into the suitability of ensemble methods such as Random Forest for sentiment analysis in specific digital phenomena, highlighting its potential for more reliable sentiment classification in similar contexts.
Implementasi Algoritma Random Forest dan Model Bag of Words Dalam Analisis Sentimen Mengenai E-Materai Fenilinas Adi Artanto
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 4 No. 2 (2024): Oktober 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v4i2.3240

Abstract

For CPNS registration in 2024, a digital stamp purchase method will be implemented via the website https://meterai-elektronik.com as a requirement for complete administration. However, the page that provides e-stamps experienced an error because many visitors entered and tried to buy e-stamps at the same time. This disruption has resulted in several people having opinions about e-stamps. To find out people's sentiments about e-stamps after this incident, sentiment analysis was carried out. In analyzing these sentiments, the Random Forest algorithm is used with the Bag of Words model, where Random Forest is a development method of Classification and Regression Trees (CART) which is said to be more precise in predicting and the Bag of Words model is widely used with good results for predicting language modeling and classification. documents because Bag of Words is simple and flexible. In sentiment analysis, 86% of neutral opinions were produced, 9% of negative opinions and 5% of positive opinions. Then the Random Forest algorithm with the Bag of Words model got an accuracy value of 70.1%, precision of 50.7%, recall of 54.1%, and F1-Score of 47.6%.
Support Vector Machine Berbasis Particle Swarm Optimization Pada Analisis Sentimen Anggota KPPS Artanto, Fenilinas Adi
JURNAL FASILKOM Vol. 14 No. 1 (2024): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v14i1.6795

Abstract

Pemilu menjadi sebuah bukti dari demokrasi dari suatu negara. Terutamanya di Indonesia dalam menyukseskan Pemilu dibutuhkan bantuan dari anggota KPPS. Saat ini pada pemilu 2024 di Indonesia menjadi anggota KPPS menjadi hal yang menarik bahkan menjadi trending topik terutama dalam media sosial X. Lalu dengan tredingnya anggota KPPS bagaimanakah opini masyarakat dalam media sosial X tentang menjadi anggota KPPS. Dalam menguji sentimen digunakan algoritma Support Vector Machine (SVM) berbasis Particle Swarm Optimization (PSO). Dari pengambilan data pada media sosial X didapatkan data opini sebanyak 702 data, setelah data melalui tahap Preprocesing data opini telah dibersihkan dari kata-kata yang tidak digunakan dan juga duplikasi data didapatkan 688 data dengan kata yang paling banyak disebutkan adalah meninggal. Data yang telah dibersihkan di analisis menggunakan algoritma Support Vector Machine (SVM) berbasis Particle Swarm Optimization (PSO) didapatkan hasil accuracy 70%. Lalu pada pengujian sentimen pada opini masyarakat pada media sosial X tentang anggota KPPS didapatkan hasil bahwa 99% masyarakat memberikan opini yang positif, dan hanya 1% masyarakat yang memberikan opini negatif.
Black Box Testing Dengan Teknik Equivalence Partitioning Pada Aplikasi MJ Autocare Artanto, Fenilinas Adi; Khambali, Ahmad; Nadifa, Shafa; Azarine, Vida Ailsa
Digital Transformation Technology Vol. 4 No. 1 (2024): Periode Maret 2024
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v4i1.4240

Abstract

Sebuah sistem informasi yang berupa aplikasi perlu dilakukan sebuah pengujian agar apabila terjadi kesalahan sistem atau yang sering disebut dengan bugs/error pada sistem dapat terdeteksi dan tidak mengganggu kegunaan dari sistem tersebut. Seperti halnya aplikasi MJ Autocare yang merupakan aplikasi kasir pada MJ Autocare. Dalam pengujian sistem informasi digunakan beberapa metode yaitu Black Box dan White Box.Pengujian Black Box lebih banyak digunakan karena pengujian Black Box langsung dilakukan pada sistem yang berjalan. Salah satu teknik dari pengujian Black Box adalah teknik Equivalence Partitioning yaitu sebuah teknik yang membagi sistem menjadi beberapa partisi test case pada input dan output dari sistem. Pada Aplikasi MJ Autocare terbagi menjadi 3 partisi test case yaitu halaman login, halaman tambah produk dan halaman laporan wallet. Pada test case input meliputi halaman login dan halaman tambah produk, sedangkan pada test case output meliputi halaman laporan wallet. Setelah dilakukan pengujian dengan menggunakan user dengan masing-masing hak akses yang diberikan didapatkan hasil bahwa sistem pada aplikasi MJ Autocare telah sesuai dengan pengembang sistem yang dibuat dalam pengujian Black Box Testing dengan teknik Equivalence Partitioning. Sistem Aplikasi MJ Autocare telah dapat berjalan sesuai dengan sistem yang dibentuk.
RANCANG BANGUN SISTEM WEBSITE SMP NEGERI 2 KESESI Kusumawardhani, Hadwitya Handayani; Artanto, Fenilinas Adi; Juliantono, Setyo
IC Tech: Majalah Ilmiah Vol 17 No 2 (2022): IC Tech: Majalah Ilmiah Volume XVII No. 2 Oktober 2022
Publisher : P3M Institut Widya Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47775/ictech.v17i2.252

Abstract

Dengan kemajuan teknologi Informasi yang memanfaatkan internet maka website menjadi salah satu keunggulan teknologi yang digunakan oleh banyak kalangan dalan menyebarkan informasi. Dengan menggunakan web akan memudahkan proses berjalanya informasi menjadi lebih cepat dan dapat di akses oleh semua orang. Sebuah sekolah juga membutuhkan sebuah website yang dapat digunakan untuk mengembangkan sekolah juga digunakan sebagai saran informasi tentang sekolah. Oleh karena itu dibuatlah sebuah website sekolah untuk SMP Negeri 02 Kesesi. Dalam merancang website sekolah pada SMP Negeri 02 Kesesi akan digunakan framework laravel dan untuk database menggunakan MySQl. Rancang bangun ini digunakan untuk membuat sebuah sistem informasi website sekolah Pada SMP Negeri 2 Kesesi berbasis web yang dapat mengelola, melihat dan mendapatkan data informasi atau berita terbaru secara mudah oleh pengguna.
Co-Authors Achmad Vandian Nur, Achmad Vandian Adityo Nugroho, Adityo Ahmad Khambali Ahmad Rifqi Maulana Aini, Fadhila Nur Alamsyah, Riqi Amat Sukani Amrun Khakim Andaru Alwan Afif Hardani Aqika Ari Yogiana Arzal Rinaldi Aslam Fatkhudin Aslam Fatkhudin Aulia Nurul Aini Azarine, Vida Ailsa Azarine, Vida Alisa Cholisa Rosanti Damayanti, Ika Rizqi Dani Mutaqo Edy Subowo Fadhila Nur Aini Fahlevi, Riza Fauzan Iryan Arzha Febrianto, M Yusuf Febrianto, M. Yusuf Febrianto, Muhammad Yusuf Filsafat, Filsafat Firdan, Mohammad Hadwitya Handayani Kusumawardani Haifan Tri Buwono Joyo Pangestu Haifan Tri Buwono Joyo Pangestu Handayani Kusumawardhani, Hadwitya Handayani, Hadwitya Haq, Muchamad Farros Ilman Himawan, Ganda Imam Rosyadi Imam Rosyadi Isna Putri Juliantono, Setyo Khambali, Ahmad Khoirruchim, Azizi Khusna Santika Rahmasari Kusumawardani, Hadwitya Handayani Kusumawardhani, Hadwitya Handayani Lia Khoirun Nisa M. Waffa Najib Hadinata M. Yusuf Febrianto Meilinda Dwi Asih Mochamad Nasir Mochamad Nasir Muh Andi Sulaiman muh yusuf Mundriyah Mundriyah, Mundriyah Nabil Ahmad Putra Zade Nadhifah, Shafa Nadifa, Shafa Nafilaturrosyidah, Farah Nagara, Ikrar Stya Naldi, Ricky Rey Niar Ajeng Rachmayani Norfan Musta Dwi Nugraha, Eriszana Nugroho, Muhammad Alfin Nur Aisyah Nuridin, Nuridin Pama, Rizkiyan Tri Ade Putra, Afif Muharram Tawakal Rachmayani, Niar Ajeng Rahmawati, Siti Elisa ramadhani, ika Riza Fahlevi Rizkiyan Tri Ade Pama Rosyadi, Imam Safli, Naufal Abiyu Saputra, Reza Edi Satrio, Teguh Setyo Juliantono Siti Elisa Rahmawati Stefanus Santosa Sukani, Amat Syahrudin Syahrudin, Syahrudin Umaedi, Wahyu Utami, Fryda Putri Wahyu Umaedi Wibowo, Dimas Yanti Sri Rejeki Zamaroh, Firda