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Implementasi Turnitin Untuk Memaksimalkan Orisinalitas Karya Ilmiah Pada Situs Open Journal System (OJS) Idaaratul ‘Ulum Widodo; Rianto
Idaarotul Ulum Vol 6 No 2 (2024): Desember: Idaaratul 'Ulum (Jurnal Prodi MPI)
Publisher : Institut Agama Islam Insan Prima Misbahul Ulum Gumawang OKU Timur Sumatera Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70688/idaarotululum.v6i2.433

Abstract

Penelitian ini bertujuan untuk mengevaluasi efektivitas penggunaan Turnitin dalam meningkatkan orisinalitas karya ilmiah yang akan dipublikasikan pada situs Open Journal System (OJS) Idaaratul 'Ulum : Jurnal Prodi MPI, Institut Agama Islam Insan Prima Misbahul Ulum, Gumawang, OKU Timur, Sumatera Selatan. Turnitin, sebagai perangkat lunak untuk deteksi plagiarisme, diharapkan dapat meningkatkan kualitas artikel yang diajukan oleh penulis ke Jurnal Idaaratul 'Ulum. Pendekatan penelitian yang digunakan adalah kualitatif dengan teknik pengumpulan data melalui wawancara, observasi, dan analisis dokumen. Hasil penelitian menunjukkan bahwa penerapan Turnitin berhasil menurunkan tingkat plagiarisme serta meningkatkan kesadaran penulis mengenai pentingnya orisinalitas dalam karya ilmiah. Penelitian ini menyimpulkan bahwa dukungan institusi, termasuk pelatihan dan sumber daya yang memadai, sangat diperlukan untuk mengoptimalkan penggunaan Turnitin dalam upaya meningkatkan kualitas akademik di Jurnal Idaaratul 'Ulum.
System Information Object Gunungkidul Beach Tourism and Booking Travel Services Using the Laravel Framework Anwar Fauzi, Muhammad Afif; Rianto; Saputra, Nurirwan
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 3 No. 1 (2024): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v3i1.6190

Abstract

Gunungkidul is famous for with beauty the beach is stunning. However, information about object tour beaches in Gunungkidul is Still scattered and difficult to access for tourists. Apart from that, tourists also experience difficulty in order tourist travel services To visit beaches. Thesis This aims To develop a system information object tour beach Gunungkidul and reservations tourist travel services using the Laravel framework. System This provides complete and accurate information​ about object tour beaches in Gunungkidul, as well as possible traveler order tourist travel services with easy and safe. Study This uses a method combination of Qualitative and quantitative with the Laravel framework system, which is a popular PHP framework For the development of web applications. Laravel provides various convenient features​ of development systems, such as routing, databases, and authentication. Data collection techniques use surveys created online​ with Google Forms. Study This uses waterfall methodology. The waterfall methodology is the methodology development of device linear software and processes sequentially. System This has been tested and proven can walk with Good. System This can help travelers get information about object tour beaches in Gunungkidul and order tourist travel services with ease and safety.
Design Of An Educational Game For Numbers In Early Childhood With Android-Based Biometrics Septiardi, Rizqy Dwi; Wahana, Aditya; Rianto
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 3 No. 2 (2024): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v3i2.6668

Abstract

Counting is learning from mathematics logical and ability sorting , counting and thinking in a way logical . Skills count very required in life everyday . Counting is also a​ skills base mathematics in Education . Purpose of Counting is For learn basics​​ mathematics so that child Ready face learning more counting​ complex.media Conventional which is often used teacher in give lesson counting to child not enough effective due to the development of the electronic world at that time this . Therefore That Making a Counting Game This aiming For follow development of the times with develop a counting game that can used on android with use method biometrics as learning.Based on Trial the system that has been carried out by media experts and expert material get results like following 80% or very worthy by media experts and 75% or qualified by expert material . Testing Application This No only carried out by media experts and expert material just testing​ also conducted on students at KB TK AN NAHL. Test Results to 20 students of KB TK AN NAHL received results like following 85% very agree and agree , 14% less agree and 1% disagree agree using this game.
Savings And Loan Information System At KSU Madu Kencana Using AHP-WP Method Ariyanto, Pradana Feri; Rianto; Wibawa
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 3 No. 2 (2024): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v3i2.6682

Abstract

Information technology has become a major driver of significant global development, changing the way we work, communicate, and access information. Koperasi Serba Usaha (KSU) Madu Kencana is a community-based financial institution with a savings and loan system that requires an information system that can support its operations to be faster, more precise, accurate, and relevant in improving the quality of service to customers and employee performance. The lag in the information system at KSU Madu Kencana will slow down service and data processing. The AHP method is used to determine the weight, then the WP method is used to determine the best alternative or priority order of alternatives. The results of this study are a savings and loan information system that can be used by KSU Madu Kencana in assessing loan applicants.
Recognition of Organic Waste Objects Based on Vision Systems Using Attention Convolutional Neural Networks Models Aradea; Rianto; Mubarok, Husni
Scientific Journal of Informatics Vol. 11 No. 3: August 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i3.6494

Abstract

Purpose: High population growth and increasing consumption patterns have resulted in significant organic waste production. The public often does not understand the correct way to deal with the problem of organic waste, including public awareness regarding the need for its management. Therefore, a system is needed to recognize waste objects based on various types. Currently, much research in this field has been studying object recognition, for example, the implementation of the Convolutional Neural Networks (CNN) model. However, there are still various challenges that must be addressed, including objects with diverse visual characteristics such as form, size, color, and physical condition. This research focuses on developing a system that enhances object recognition of waste, specifically organic waste, using an Attention Convolutional Neural Network (ACNN). By integrating attention mechanisms into the CNN model, this study addresses the challenges of recognizing waste objects with diverse visual characteristics. The proposed system seeks to improve the accuracy and efficiency of organic waste identification, which is crucial for advancing waste management practices and reducing environmental impact. Methods: This research combines a CNN architecture with an attention mechanism to create a better object detection environment called Attention-CNN (ACNN). The ACNN architecture employed consists of one layer input, three convoluted layers, three max-pooling layers, one attention layer, one flattened layer, four dropout layers, and two dense layers arranged in a certain way. Result: The research result shows that the model CNN with attention mechanism (ACNN) was slightly better at 86.93% than the standard model of CNN, which accounted for 86.70% in accuracy. Novelty: In general, the current use of CNN architecture to address waste object recognition problems typically employs standard architectures, resulting in lower accuracy for complex waste objects. In contrast, our research integrates attention mechanisms into the CNN architecture (ACNN), enhancing the model's ability to focus on relevant features of waste objects. This leads to improved recognition accuracy and robustness against visual variability. This distinction is important as it overcomes the limitations of standard CNN models in handling visually diverse and complex waste objects, thereby highlighting the novelty and contribution of our research.
BRAND TRUST AND CUSTOMER LOYALITY IN SERVICE COMPANIES HEALTH Munawaroh, Emi; Rianto
Jurnal Ekonomi dan Bisnis Airlangga Vol. 32 No. 1 (2022): JURNAL EKONOMI DAN BISNIS AIRLANGGA
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jeba.V32I12022.93-102

Abstract

Introduction: This study was conducted to examine the effect of trust in brand (brand characteristic, company characteristic, and customer - brand characteristic) on brand loyalty in hospital patients. Methods: The method used in this study is a quantitative descriptive research method with a multiple linear regression analysis approach using 100 respondents who have used the services of RSUD Dr. Sudirman Kebumen. Results: The results of this study indicate that trust in brand has a positive effect on brand loyalty, either partially for each dimension of brand characteristic, company characteristic, and customer-brand characteristic or simultaneously. Furthermore, customer-brand characteristic is the dominant variable even though the difference is not great. Therefore, it can be concluded that, in building brand loyalty, it requires building trust from the brand with characteristics starting from the brand itself, and how the patient's relationship with the brand is established. Conclusion and suggestion The author finds that building brand loyalty in service companies, especially health services at regional companies, requires good brand trust management. This is a new finding because previous research has focused on goods industry. Brand loyalty is focused not only on a tangible product industry, but even health service companies need good brand awareness, especially trust, to be able to maintain customer loyalty to the brand.
The Application of Template Matching Algorithm to Improve Accuracy of Plate Number Recognition R Moch Dysa Satria Anggara; Aradea; Rianto
Jurnal Rekayasa Sistem & Industri Vol 9 No 01 (2022): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v9i01.514

Abstract

Pattern Recognition is a part research of Image Processing. In term implementation of Pattern Recognitionused for variety research needs such as Identify Transportation License Plate Number. Identifying licenseplate number is one process to reduce crime, accident, and support related agencies to process informationtraffic data. Taking picture of license plate number by camera create image that can be processed by OpticalCharacter Recognition (OCR). OCR is conversion process of picture that contain alphabet and numericobject into ASCII character. In creating of OCR, there’s many kind of algorithm, we used TemplateMatching algorithm as main research. Process of Template Matching algorithm is fitting all part of picturetaken by camera with image that has been processed into Template Data. However like another algorithm,this algorithm had a deficiency about accuracy and time to recognition process. To create and enhance ofaccuracy in Template Matching algorithm, we create 3 scenarios to take a picture for compare the result ofaccuracy and time to OCR process also comparing Template Matching algorithm with Learning VectorQuantization (LVQ) as accuracy comparison method. Based on result of Template Matching algorithm had84% accuracy and 0,942 Milliseconds to process OCR.
PENGARUH CAPITAL INTENSITY, KONEKSI POLITIK, DAN PERTUMBUHAN PENJUALAN TERHADAP PENGHINDARAN PAJAK (Studi Empiris Pada Perusahaan yang Terdaftar di Bursa Efek Indonesia Sektor Energi Periode 2020 – 2023) Rianto
Jurnal Ilmiah Akuntansi Pancasila (JIAP) Vol. 4 No. 2 (2024): September
Publisher : Fakultas Ekonomi dan Bisnis Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiap.v4i2.7488

Abstract

ABSTRACT This study aims to determine the partial and simultaneous effects of Capital Intensity, Political Connections, and Sales Growth on Tax Avoidance. This is a descriptive study with a quantitative approach, analyzed using multiple regression analysis methods which include descriptive statistical analysis, classical assumption tests, multiple linear regression analysis, hypothesis testing, and the coefficient of determination test using SPSS v24. The type of data used in this study is secondary data sourced from the official websites of the companies and the Indonesia Stock Exchange (IDX). The population of the study consists of energy sector companies for the period 2020-2023. The sample of this study includes 23 companies using the purposive sampling method observed over 4 years, resulting in a total of 92 observations. The results of this study show that simultaneously, capital intensity, political connections, and sales growth together have a significant effect on Tax Avoidance. Partially, capital intensity has a significant negative effect on tax avoidance, political connections have no significant effect on tax avoidance, and sales growth has a significant positive effect on tax avoidance. Keywords : Capital Intensity , Political Connections, Sales Growth, Tax Avoidance ABSTRAK Penelitian ini bertujuan untuk mengetahui pengaruh Capital Intensity, Koneksi Politik, dan Pertumbuhan Penjualan terhadap Penghindaran Pajak secara parsial maupun simultan. Penelitian ini merupakan penelitian deskriptif dengan pendekatan kuantitatif yang dianalisis menggunakan metode analisis regresi berganda yang meliputi analisis statistik deskriptif, uji asumsi klasik, analis regresi linear berganda, uji hipotesis, dan uji koefisien determinasi dengan program SPSS v24. Jenis data dalam penelitian ini adalah data sekunder yang bersumber dari situs resmi perusahaan maupun situs resmi Bursa Efek Indonesia (BEI). Populasi dari penelitian adalah perusahaan sektor energi periode 2020-2023. Sampel penelitian ini adalah sebanyak 23 perusahaan dengan menggunakan metode purposive sampling observasi selama 4 tahun sehingga total observasi dalam penelitian ini adalah sebanyak 92 observasi. Hasil penelitian ini menunjukan secara simultan capital intensity, koneksi politik, dan pertumbuhan penjualan secara bersama-sama memiliki pengaruh signifikan terhadap Penghindaran Pajak. Secara parsial capital intensity berpengaruh negatif signifikan terhadap penghindaran pajak, koneksi politik tidak berpengaruh signifikan terhadap penghindaran pajak, dan pertumbuhan penjualan berpengaruh positif signifikan terhadap penghindaran pajak. Kata Kunci : Capital Intensity, Koneksi Politik, Pertumbuhan Penjualan, Penghindaran Pajak
OPTIMALISASI PEMANFAATAN DANA DESA DI TEMPIRAI SELATAN KABUPATEN PALI Maria, Maria; Indriasari, Desi; Sari, Karika Rachma; Utami, Agnes; Alfarishi, Ahmad Fauzan; Rianto
Jurnal Pengabdian Masyarakat Akuntansi, Bisnis & Ekonomi Vol 3 No 2 (2025): Jurnal Pengabdian Masyarakat Akuntansi Bisnis dan Ekonomi (JPMABE)
Publisher : Jurusan Akuntansi Politeknik Negeri Sriwijaya Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This activity aims to increase the capability and capacity of village government officials in solving problems is the participatory method. The location of the activity was in South Tempirai Village, North Penukal District, Pali Regency. This activity involves the village head and his apparatus. Efforts to utilize village funds are carried out by reviving the formation of BUMDesa However, in its implementation there are several obstacles, including differences in paradigms from stakeholders regarding the management of village funds, lack of community participation in implementing the BUMDesa work program. The solution provided is counseling about increasing the competency of BUMDes managers, starting from strategic planning, programming, budgeting, implementation and the importance of BUMDesa financial management. It is hoped that from the results of the activity, the South Tempirai village government, especially village officials, can develop BUMDesa and accommodate the fulfillment of community needs through the potential of local wisdom.