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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Scientific Journal of Reflection : Economic, Accounting, Management and Business Owner : Riset dan Jurnal Akuntansi Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Zonasi: Jurnal Sistem Informasi Jurnal Informatika Ekonomi Bisnis Studi Kasus Inovasi Ekonomi JURNAL MANAJEMEN DAN BISNIS EQUILIBRIUM Jurnal Teknologi Informasi dan Komunikasi Jurnal Abdi Masyarakat Indonesia Indonesian Journal of Innovation Studies Proceedings of The ICECRS Procedia of Social Sciences and Humanities Jurnal Teknologi Komputer dan Informatika Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital (JEKOMBITAL) Jurnal Informatika Ekonomi Bisnis Journal of Business Economics and Agribusiness IJEFSD Teknologi : Jurnal Ilmiah Sistem Informasi Proceeding of International Conference on Social Science and Humanity
Istian Kriya Almanfaluti
Program Studi Bisnis Digital, Universitas Muhammadiyah Sidoarjo
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Identifikasi Pola Suara Pada Bahasa Jawa Meggunakan Mel Frequency Cepstral Coefficients (MFCC) Istian Kriya Almanfaluti; Judi Prajetno Sugiono
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1793

Abstract

Voice Recognition is a process of developing systems used between computer and human. The purpose of this study is to find out the sound pattern of a person based on the spoken Javanese language. This study used the Mel Frequency Cepstral Coefficients (MFCC) method to solve the problem of feature extraction from human voices. Tests were carried out on 4 users consisting of 2 women and 2 men, each saying 1 word "KUTHO", the word pronounced 5 times. The results of the testing are to get a sound pattern from the characteristics of 1 person with another person so that research using the MFCC method can produce different sound patterns
Pendeteksian Financial Statement Fraud dengan Menggunakan F-Score Model : Perspektif Fraud Pentagon Theory Ruci Arizanda Rahayu; Wiwit Hariyanto; Istian Kriya Almanfaluti
Owner : Riset dan Jurnal Akuntansi Vol. 7 No. 3 (2023): Vol. 7 No. 3 (2023): Research Artikel Volume 7 Issue 3: Periode Juli 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/owner.v7i3.1575

Abstract

This study aims to determine the partial effect of financial stability, financial targets, ineffective of monitoring, quality of external audit, change in auditors, change in directors, frequency number of CEO's picture on financial statement fraud in mining companies listed on the IDX. 2021. This study used a quantitative approach and the sample collection method in this study used purposive sampling and obtained as many as 18 companies as samples. The type of data used in this study is secondary data sourced from the company's financial reports and annual reports obtained directly from the Indonesia Stock Exchange (IDX). The data analysis method used is multiple regression analysis which is processed using the SPSS program. Based on the results of research conducted on 18 mining sector companies for the 2020 and 2021 periods it concluded that the financial stability variable as measured by ACHANGE did not have a significant effect on financial statement fraud, the financial target variable as measured by ROA had a significant effect on financial statement fraud, the ineffective variable of monitoring measured by BDOUT has no significant effect on financial statement fraud, the quality of external audit variable as measured by AUD has no significant effect on financial statement fraud, the change in auditor variable as measured by CPA has no significant effect on financial statement fraud, the change in director variable as measured with DCHANGE it has no significant effect on financial statement fraud and the frequency number of CEO's picture variable has no significant effect on financial statement fraud.
ANALYSIS OF THE EFFECT OF EUCS VARIABLES ON USER SATISFACTION IN THE APPLICATION OF CEISA 4.0 AS AN ADMINISTRATIVE SYSTEM Marwah, Siti; Prasojo, Bayu Hari; Pebrianggara, Alshaf; Almanfaluti, Istian Kriya
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 3 No 4 (2025): MEI
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jekombital.v3i4.948

Abstract

This study analyzes the impact of EUCS (End-User Computing Satisfaction) variables on user satisfaction with the CEISA 4.0 administrative system at KPPBC TMP Juanda. This study aims to evaluate how various factors, including technical support, reporting features, and system usability, contribute to overall user satisfaction. Data were collected through a survey, and analysis used Structural Equation Modeling (SEM) to assess the relationship between the identified variables. Key findings indicated that users experienced satisfactory technical support, characterized by quick responses and effective solutions to problems. In addition, the system's excellent reporting features facilitate the generation of comprehensive and easy-to-understand reports, further increasing user satisfaction. The research also included validity and reliability tests, confirming that the constructs used in this study are valid and reliable for measuring user satisfaction. The results show that improving these factors can significantly increase user satisfaction with CEISA 4.0, ultimately leading to more efficient administrative processes. This research adds to a more profound comprehension of the elements that influence user satisfaction in administrative systems, as well as providing valuable insights for future development of similar technologies.
PERBANDINGAN MODEL PENDEKATAN ARTIFICIAL INTELLIGENCE BERBASIS JARINGAN SARAF TIRUAN DAN MODEL KLASIK TERHADAP MINAT E-WALLET Widyasmara, Bunga Aulia; Pebrianggara, Alshaf; Kriya Almanfaluti, Istian; Prasojo, Bayu Hari
ZONAsi: Jurnal Sistem Informasi Vol. 7 No. 2 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Mei 2025
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/rp6n6460

Abstract

Kemajuan teknologi yang semakin pesat membawa dampak perubahan pada seluruh aspek khususnya pada sektor pembayaran. Dompet elektronik atau e-wallet saat ini menjadi tren dimasyarakat karena fleksibilitas dan kenyamanannya. Namun adopsi e-wallet tidak lepas dari beberapa faktor yang mempengaruhi minat konsumen untuk menggunakannya. Penelitian ini bertujuan untuk menganalisis pengaruh keamanan, privasi dan e-trust terhadap minat penggunaan e-wallet di Indonesi, dengan membandingkan dua metode, yaitu Jaringan Saraf Tiruan dan Regresi Linear Berganda menggunakan SPSS dan MATLAB. Analisis perbandingan dilakukan untuk mengidentifikasi metode yang memiliki tingkat akurasi paling baik. Jumlah populasi yang digunakan dalam penlitian ini dihitung menggunakan rumus Lemeshow, yang menghasilkan 165 reponden. Hasil penelitian menujukan bahwa metode Jaringan Saraf Tiruan memberikan hasil analisis yang jauh lebih baik dibandingkan Regresi Linear Berganda dengan hasil nilai yang didapat di setiap variable mendekati angka target yang diharapkan, sedangkan regresi linear berganda memberikan hasil yang kurang optimal khususnya pada variable keamanan dan privasi.
ANALISIS KUALITAS CANVA SEBAGAI PLATFORM DESAIN ONLINE DAN MEDIA PEMBELAJARAN INTERAKTIF Ari Susanto, Agus; Kriya Almanfaluti, Istian
Jurnal Teknologi Komputer dan Informatika Vol 3 No 2 (2025): Jurnal Teknologi Komputer dan Informatika (TEKOMIN)
Publisher : LPPM Politeknik Pajajaran ICB Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59820/tekomin.v3i2.345

Abstract

This study aims to analyze the quality of Canva as an online design platform utilized in interactive learning, with a Systematic Literature Review (SLR) approach and using the WebQual 4.0 framework. Five relevant scientific articles were selected based on inclusion and exclusion criteria, then reviewed based on three main dimensions: usability, information quality, and service interaction quality. The results of the analysis show that Canva has a high level of usability, offers a charming and user-friendly interface. In addition, the quality of information is considered good because Canva provides various templates and educational design elements that support understanding of the material. However, the quality of service interaction is still relatively less than optimal, especially in the context of bold collaboration and interaction systems. Overall, Canva has proven effective in increasing student engagement and supporting creative visual learning processes. This study recommends improving user training and integrating Canva with digital learning systems so that users.
Implementasi Logika Fuzzy Tsukamoto Dalam Menentukan Harga Jual Produk Letter Timbul Pada Usaha Reklame Rokhmah, Farida; Almanfaluti, Istian Kriya; Yulianto, Mochamad Rizal
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 2: Agustus 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i2.2681

Abstract

This study aims to determine the selling price of advertising products, particularly 3D letters, using the Fuzzy Logic Tsukamoto method. This approach was chosen to address the uncertainty in price determination, which is often influenced by variables such as material type, quantity, size, and quality. Implemented on the Google Colab platform, the study achieved an 80% accuracy rate in pricing, with classifications into cheap, medium, and expensive categories. These results indicate the effectiveness of the Fuzzy Tsukamoto method in producing more consistent and objective pricing, enhancing consumer trust in offered prices.Keywords: Fuzzy Tsukamoto; Selling Price; Advertising AbstrakPenelitian ini bertujuan untuk menentukan harga jual produk reklame, khususnya huruf timbul, menggunakan metode Fuzzy Logic Tsukamoto. Pendekatan ini dipilih untuk menangani ketidakpastian dalam penentuan harga, yang sering kali dipengaruhi oleh variabel seperti jenis bahan, banyaknya barang, ukuran, dan kualitas. Dengan menggunakan platform Google Colab untuk implementasi, penelitian ini berhasil menghasilkan tingkat akurasi sebesar 80% dalam penetapan harga, dengan kategori harga murah, sedang, dan mahal. Hasil ini menunjukkan efektivitas metode Fuzzy Tsukamoto dalam menghasilkan penetapan harga yang lebih konsistem dan objektif, sehingga dapat meningkatkan kepercayaan konsumen terhadap harga yang ditawarkan. 
SENTIMENT ANALYSIS OF CUSTOMER SATISFACTION TOWARDS STEAK HUT MANYAR KERTOARJO RESTAURANT SERVICES USING THE TF-IDF METHOD Abimanyu, Rama Chikal; Almanfaluti, Istian Kriya
Jurnal MBE Manajemen Bisnis, Equilibrium Vol 11 No 2 (2025): Jurnal Manajemen dan Bisnis Equilibrium
Publisher : Program Studi Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Ngurah Rai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47329/jurnal_mbe.v11i2.1463

Abstract

On online shopping sites or often referred to as marketplaces, there is a column of comments and reviews of transactions that have been made by buyers for products that have been purchased. With this product assessment feature, buyers can consider decisions about the products they will buy. But at this time there is a problem with the review feature because many buyers give negative comments but give a five-star rating. This results in the feature of giving values from consumers being bad. For this reason, a sentiment analysis study was conducted on the review feature at the Steakhut Manyar restaurant using the naive Bayes method and the Tf-Idf algorithm. Based on the review of reviews at the Steakhut restaurant, 1000 review data have been collected which are divided into two, namely 700 training data and 300 test data. After that, the text preprocessing data stage is carried out, where the text preprocessing stage is collecting product and service review data on the web page (Cleaning data), changing uppercase letters to lowercase letters (Casefolding), separating sentences into single sentences (tokenizing), removing conjunctions that are not used for sentiment analysis (stopwords), changing words to basic words (stemming) and continuing to give weight to each word using the Tf-idf algorithm
KEPUTUSAN PEMBELIAN PRODUK NIKE OLEH GENERASI Z DITINJAU DARI PENGARUH INFLUENCER DAN CONTENT MARKETING Putra Agung, Marcello Dicaprio; Almanfaluti, Istian Kriya; Yulianto, Mochamad Rizal
Jurnal MBE Manajemen Bisnis, Equilibrium Vol 11 No 2 (2025): Jurnal Manajemen dan Bisnis Equilibrium
Publisher : Program Studi Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Ngurah Rai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47329/jurnal_mbe.v11i2.1576

Abstract

Riset ini bertujuan untuk menilai bagaimana Generasi Z Sidoarjo melakukan pembelian produk Nike sebagai respon terhadap influencer dan content marketing. Pengambilan sampel menggunakan teknik nonprobability sampling, salah satu tekniknya adalah purposive sampling, digunakan dalam metodologi kuantitatif penelitian ini. Sampel penelitian ini terdiri dari 96 responden Generasi Z. Data dikumpulkan melalui survei daring. Untuk keperluan analisis data, digunakan metode regresi linier berganda yang diproses menggunakan SPSS. Temuan penelitian ini mengungkap bahwa baik strategi pemasaran konten maupun peran influencer memberikan dampak positif dan signifikan terhadap keputusan pembelian yang diambil oleh konsumen. Hal ini menyiratkan bahwa Generasi Z lebih mungkin membeli produk Nike jika influencer tersebut memiliki lebih banyak pengikut dan jika pendekatan content marketing dijalankan dengan baik. Konsekuensi dari temuan penelitian ini menyoroti betapa pentingnya bagi bisnis untuk meningkatkan kemitraan dengan influencer terkait dan meningkatkan kualitas content marketing mereka guna menumbuhkan loyalitas pelanggan dan menarik minat konsumen Generasi Z untuk melakukan pembelian.
ARTIFICIAL INTELLIGENCE (AI) OPTIMALIZATION IN CUSTOMER BEHAVIOR ANALYSIS TO DETERMINE MARKETING STRATEGIES: SYSTEMATIC LITERATURE REVIEW Prameswari, Amanda Tiara; Pebrianggara, Alshaf; Yulianto, Mochamad Rizal; Almanfaluti, Istian Kriya
Proceeding of International Conference on Social Science and Humanity Vol. 2 No. 1 (2025): Proceeding of International Conference on Social Science and Humanity
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/icossh.v2i1.235

Abstract

Objective: This research aims to examine the optimization of the use of AI in understanding and analyzing customer behavior in developing effective and efficient marketing strategies. Method: The method used in this research is the SLR (Systematic Literature Review) method, by collecting data through various sources of academic database articles such as Google Scholar, IEEE Xplore, Science Direct and others that discuss the application of AI. Results: The results of this literature review show that the application of AI such as machine learning and data analysis is able to identify customer preferences and needs, which will be used by companies in designing more personalized and efficient marketing strategies. Novelty: In the digital era, the use of artificial intelligence (AI) in customer behavior analysis has become one of the effective tools to determine a more appropriate marketing strategy. Optimizing AI through the SLR method is an important step for companies in achieving a competitive advantage in understanding customer behavior patterns more accurately in a dynamic market.
ANALYZING OF SYSTEM USABILITY SCALE IN USER EXPERIENCE EVALUATION OF DANA APPLICATIONS Fuaida, Famrotul; Prasojo, Bayu Hari; Racmadany , Andry; Almanfaluti , Istian Kriya
Proceeding of International Conference on Social Science and Humanity Vol. 2 No. 1 (2025): Proceeding of International Conference on Social Science and Humanity
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/icossh.v2i1.237

Abstract

Objective: The rapid development of financial technology (FinTech) has transformed how individuals conduct financial transactions, particularly through e-wallets. Dana, one of the leading e-wallet applications in Indonesia, has garnered significant attention due to its widespread usage and user feedback. Method: This study evaluates the user experience (UX) of the Dana application using the System Usability Scale (SUS) that provides a quick and quantitative measure of usability, Data were collected from 153 respondents through a questionnaire. Results: The SUS analysis yielded an average score of 65. According to SUS interpretation scales, this score categorizes Dana as "Marginal" in Acceptability Ranges, "C" on Grade Scale, and "OK" on Adjective Rating, with users classified as "Passive" based on Net Promoter Score (NPS). Novelty: This study emphasizes the importance of systematic UX evaluation in identifying user needs and evaluation for the app, providing actionable recommendations to improve the Dana application. These recommendations aim to enhance usability, user satisfaction, and competitiveness in the FinTech sector.
Co-Authors Abimanyu, Rama Chikal Al Akbar Himawan Alshaf Pebrianggara Andry Rachmadany Ari Susanto, Agus Bayu Hari Prasojo Bima Panduni Rahmat Dhevano Eka Priyatna Fuaida, Famrotul Hendra Sukmana Indah Dwi Lestari Johan Ageng Prasetyo Johan Prasetyo Judi Prajetno Sugiono M. Andi Fikri Marcello Dicaprio Putra Agung Marwah, Siti Masrucha, Adinda Nur Mochamad Rizal Yulianto Mochammad Bahaauddin Al Majidi Mochammad Rakha Abimanyu Mubarok, Akhmad Nur Muhammad Alvan Rizki Nasywa Aulia Navaro , Muhammad Saddam Panduni, Bima Perdana, Adika Surya Prameswari, Amanda Tiara Putra Agung, Marcello Dicaprio Putri , Niken Amelia Racmadany , Andry Rokhmah, Farida Ruci Arizanda Rahayu Satrio Sudarso Shakira, Maulidia Siti Marwah Supardi Suyogo, Muhammad Wahyu Karobby Widyasmara, Bunga Aulia Wiwit Hariyanto Yulianto, Mochammad Rizal Yuniar, Anira