Universitas Putera Batam (UPB): Open Journal Systems
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APLIKASI PENGAJUAN PROPOSAL BANTUAN PADA DINAS PETERNAKAN KABUPATEN SIDENRENG RAPPANG
No full textThe livestock sector is a leading sector after agriculture. This is evident in the numerous livestock businesses, both large and small, that are developing in the Sidenreng Rappang area. However, in supporting the development of this sector, the current process for submitting assistance proposals still faces various obstacles, such as a manual submission system, inefficient processes, and a lack of transparency in verification and selection. Due to these obstacles, farmers can now submit assistance proposals electronically through this application. The integrated system within this application will enable a more transparent proposal selection process and real-time access by relevant parties, including the livestock service. The development method used in creating this application is R&D, which includes needs analysis, system design, implementation, testing, and maintenance. One of the stages is an information system built using a web-based system and a database system as its storage medium. This system was built using PHP and MySQL, then integrated with PHPMyAdmin using XAMPP as the local host. Furthermore, this application also helps the Sidenreng Rappang Regency Office provide an effective and efficient solution for the proposal submission process.The livestock sector is a leading sector after agriculture. This is evident in the numerous livestock businesses, both large and small, that are developing in the Sidenreng Rappang area. However, in supporting the development of this sector, the current process for submitting assistance proposals still faces various obstacles, such as a manual submission system, inefficient processes, and a lack of transparency in verification and selection. Due to these obstacles, farmers can now submit assistance proposals electronically through this application. The integrated system within this application will enable a more transparent proposal selection process and real-time access by relevant parties, including the livestock service. The development method used in creating this application is R&D, which includes needs analysis, system design, implementation, testing, and maintenance. One of the stages is an information system built using a web-based system and a database system as its storage medium. This system was built using PHP and MySQL, then integrated with PHPMyAdmin using XAMPP as the local host. Furthermore, this application also helps the Sidenreng Rappang Regency Office provide an effective and efficient solution for the proposal submission process
FACTORS THAT INFLUENCE BATAM STUDENTS' INTEREST IN INVENTING IN THE CAPITAL MARKET
Get PDFMany prospective investors, including students, feel hesitant to invest due to a lack of understanding of financial literacy. This is exacerbated by previous experiences of losses that make them even more hesitant in making investment decisions. In addition, the assumption that the minimum capital required to invest is very large is also a factor that inhibits investment intentions. The method used in this study is quantitative, with a research population of 100 accounting study program students in Batam City. To determine a representative sample, the researcher used the Slovin formula, which resulted in 97 respondents. The sampling technique applied was simple random sampling, so that each individual had an equal opportunity to be selected. Data collection was carried out by distributing questionnaires that had been tested for validity and reliability. Furthermore, data analysis was carried out using multiple linear regression tests. The results of the analysis showed that minimum capital had a significant effect on the investment interest of accounting students in Batam, while financial literacy had an effect but was not significant. Based on the results of simultaneous testing in this study, it can be concluded that the independent variables (minimum capital and financial literacy) have a simultaneous effect on the interest of accounting studentsMany prospective investors, including students, feel hesitant to invest due to a lack of understanding of financial literacy. This is exacerbated by previous experiences of losses that make them even more hesitant in making investment decisions. In addition, the assumption that the minimum capital required to invest is very large is also a factor that inhibits investment intentions. The method used in this study is quantitative, with a research population of 100 accounting study program students in Batam City. To determine a representative sample, the researcher used the Slovin formula, which resulted in 97 respondents. The sampling technique applied was simple random sampling, so that each individual had an equal opportunity to be selected. Data collection was carried out by distributing questionnaires that had been tested for validity and reliability. Furthermore, data analysis was carried out using multiple linear regression tests. The results of the analysis showed that minimum capital had a significant effect on the investment interest of accounting students in Batam, while financial literacy had an effect but was not significant. Based on the results of simultaneous testing in this study, it can be concluded that the independent variables (minimum capital and financial literacy) have a simultaneous effect on the interest of accounting student
Analisis Pola Penjualan Alat-Alat Kesehatan Menggunakan Algoritma Apriori Pada PT. Dian Fajar Cahaya Gemilang
No full textPT. Dian Fajar Cahaya Gemilang is a company engaged in the sale of medical equipment. To improve the quality of service to consumers, the company is required to be able to overcome problems that often arise, including changes in order requests for certain products so that the company cannot provide product stock quickly and accurately. Lack of stock in a company will have a very negative impact on the success and smoothness of sales and purchase transactions. This can be caused by customer sales patterns that are always changing and cannot be predicted. This study implements data mining using the apriori algorithm stage to find valuable information in the form of purchasing patterns by customers by utilizing the large amount of sales transaction data so that the company can prepare stock quickly and accurately to prevent accumulation and lack of product storage that will later result in lossesPT. Dian Fajar Cahaya Gemilang is a company engaged in the sale of medical equipment. To improve the quality of service to consumers, the company is required to be able to overcome problems that often arise, including changes in order requests for certain products so that the company cannot provide product stock quickly and accurately. Lack of stock in a company will have a very negative impact on the success and smoothness of sales and purchase transactions. This can be caused by customer sales patterns that are always changing and cannot be predicted. This study implements data mining using the apriori algorithm stage to find valuable information in the form of purchasing patterns by customers by utilizing the large amount of sales transaction data so that the company can prepare stock quickly and accurately to prevent accumulation and lack of product storage that will later result in losses
STANDAR TIKTOK SEBAGAI REALITAS PERUBAHAN SOSIAL BUDAYA PADA MASYARAKAT MODERN
Get PDFTikTok, as a social media platform that offers entertainment, information, and educational content, has become an integral part of modern digital life. It significantly influences cultural trends, lifestyles, and consumption patterns, serving as a reflection of ongoing social and cultural transformations. One notable phenomenon is the emergence of the so-called “TikTok standard” — particularly in terms of lifestyle and beauty norms — which shapes public perceptions and behaviors. This study aims to analyze how these TikTok standards contribute to social and cultural changes within society. Employing a qualitative approach with a descriptive analysis method, the research presents detailed and clear information to enhance understanding of the data. The findings reveal that TikTok standards have significant implications for social change, driven by globalization, information technology, and consumer culture. These standards influence lifestyle shifts and redefine beauty ideals in modern society
Perancangan Standar Proses Produksi Berdasarkan Indikator Good Manufacturing Practices (GMP) pada Industri Kecil dan Menengah Bidang Pangan
Get PDFSmall and Medium Industries (SMI) face challenges in ensuring product safety and quality due to the optimal implementation of Good Manufacturing Practices (GMP). This study aims to design a standard production process framework based on GMP indicators to improve the process quality in snack food SMIs. The research employs a case study approach with a mixed-methods design at a chipproducing SMI in Batam City. The DMAIC (Define, Measure, Analyze, Improve, Control) methodology was applied to analyze historical defect data, observations, and in-depth interviews. Initial measurement results showed a defect rate of 12.3% and a GMP audit score of 58%. The analysis revealed the root causes of the defects, namely the absence of SOPs, machine instability, and an unsupportive layout. The proposed solution is a framework encompassing layout modification, SOP development, training programs, and a daily monitoring checklist form integrated with GMP indicators. The study concludes that the systematic integration of GMP and DMAIC is effective in creating sustainable improvements and provides a practical contribution in the form of an adoptable model for similar food SMIs
PENERAPAN ALGORITMA REGRESI LINIER BERGANDA UNTUK PREDIKSI STOK BARANG DI LABORATORIUM KLINIK PROLAB MEDIKA
No full textManual stock management at Prolab Medika Clinical Laboratory often causes delays in reporting and potential errors in data recording. Accurate stock prediction is key to avoiding shortages or excess inventory that can disrupt laboratory operations. This research aims to develop a web-based stock prediction system using machine learning to improve inventory management efficiency. The machine learning method applied is Multiple Linear Regression with variables of incoming stock, remaining stock, and outgoing stock obtained from laboratory historical data. The research results show that the system is able to predict stock requirements with a good level of accuracy based on evaluation using Mean Absolute Percentage Error (MAPE), Mean Squared Error (MSE), and R² Score, and provides real-time reports that facilitate the head of logistics in decision making.Manajemen stok manual di Laboratorium Klinik Prolab Medika seringkali menyebabkan keterlambatan pelaporan dan potensi kesalahan pencatatan data. Prediksi stok yang akurat merupakan kunci untuk menghindari kekurangan atau kelebihan stok yang dapat mengganggu operasional laboratorium. Penelitian ini bertujuan untuk mengembangkan sistem prediksi stok berbasis web menggunakan pembelajaran mesin untuk meningkatkan efisiensi manajemen inventaris. Metode pembelajaran mesin yang diterapkan adalah Regresi Linier Berganda dengan variabel stok masuk, stok tersisa, dan stok keluar yang diperoleh dari data historis laboratorium. Hasil penelitian menunjukkan bahwa sistem mampu memprediksi kebutuhan stok dengan tingkat akurasi yang baik berdasarkan evaluasi menggunakan Mean Absolute Percentage Error (MAPE), Mean Squared Error (MSE), dan R² Score, serta menghasilkan laporan secara real-time yang memudahkan kepala bagian logistik dalam pengambilan keputusan
Analisis Strategi Bisnis dan Sistem Informasi Akuntansi terhadap Kinerja UMKM di Sumatera Utara
Get PDFThe objective of this study is to investigate the ways in which business strategies and accounting information systems (AIS) impact the performance of micro, small, and medium enterprises (MSMEs) in North Sumatra both partially and simultaneously. The phenomenon of low MSME performance, which is demonstrated by fluctuating turnover, stagnant profitability, and a lack of competitiveness, is the result of a lack of structured business strategy planning and ineffective use of accounting information systems. A questionnaire was used to collect data, and it was tested for validity and reliability. Selanjutnya, tes klasik asumsi, tes multiple linear regression, tes parsial, dan tes simultan dilakukan dengan menggunakan SPSS.The results indicate that business strategy has a positive and significant impact on SME performance, and SIA also has a positive and significant impact on SME performance. With an adjusted R² coefficient of 0.751, 75.1% of the variation in SME performance can be explained by these two variables, while the remaining 24.9% is influenced by other factors outside the scope of this study. The results indicate that the success of SMEs does not only depend on the right business strategy but also on the effective implementation of SIA to enhance operational efficiency, decision-making speed, and better competitiveness
Pemanfaatan Infrastruktur Teknologi Informasi dalam Mendukung Layanan di BPJS Kesehatan Kedeputian Wilayah III
Get PDFThis study aims to analyze the utilization of Information Technology Infrastructure in supporting services at BPJS Kesehatan Deputy Region III using qualitative methods. The main focus of this study is to understand how information technology infrastructure can improve the efficiency, effectiveness, and quality of services to participants. The qualitative methods used include in-depth interviews, observations, and analysis related to the implementation of information technology infrastructure at BPJS Kesehatan. The results of the study indicate that the utilization of management information systems, mobile applications, online portals, electronic queuing systems, and digital health services have significantly improved the accessibility and quality of services for participants. However, several challenges such as limited information technology infrastructure in remote areas, lack of training for staff, and data security issues still need to be addressed. This study also found several solutions to overcome these problems, including increasing investment in information technology infrastructure, continuous training for staff, and the implementation of more sophisticated security technology. Thus, the utilization of information technology infrastructure at BPJS Kesehatan Deputy Region III can be continuously improved to provide better and more equitable health services for all participants
Perancangan Teknologi Augmented Reality Pengenalan Produk Skincare
Get PDFSkincare products have an important role in facial care because they contain active ingredients that function to overcome various skin problems such as acne, black spots, blackheads, and excess oil. However, in Batam City, the number of skincare products that enter without verification of eligibility raises trade and consumer trust issues. Consumers need tools to understand and choose the right products. The purpose of the research is to design and develop an Augmented Reality (AR) based application to introduce skincare products in Batam City through Android devices, in order to facilitate consumers in visualizing and obtaining information about products in a more interactive and real way. The methodology used in this research involves application development using the Unity platform and Vuforia Engine with the target Android platform. The technology applied is marker-based Augmented Reality, where the implementation process includes 3D modeling of skincare products, integrating product-related information such as functions, how to use, and side effects, and using markers-such as those found in brochures or product catalogs-as a trigger for displaying objects and information in the form of Augmented Reality visuals. The result of the research is an AR application that successfully displays 3D objects of skincare products accompanied by descriptive information. This application runs on Android devices and provides a more real product visualization experience and supports consumer understanding of skincare products
ANALISIS KEPUASAN PENGGUNA APLIKASI GOPAY MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN K-FOLD CROSS VALIDATION
No full textThe rapid advancement of digital technology has significantly increased the adoption of digital wallet services in Indonesia, one of which is the GoPay application. This study aims to analyze user satisfaction with GoPay based on user reviews from the Google Play Store. The classification method used is the Naïve Bayes algorithm, with model validation performed using the K-Fold Cross Validation technique. A total of 3,000 reviews were collected through web scraping and then preprocessed using several text preprocessing steps including cleansing, case folding, tokenizing, stopword removal, and stemming. The data was automatically labeled using the IndoBERT model and classified into two satisfaction categories. The classification results show that the Naïve Bayes algorithm achieved an accuracy of 92.46%, with a precision of 92.25%, recall of 94.70%, and an f1-score of 93.46%. Validation using 10-fold cross-validation resulted in an average accuracy of 92.23%. These results indicate that the model demonstrates strong classification performance and stable generalization on unseen data. This research is expected to contribute to improving GoPay's service quality and serve as a reference for the implementation of machine learning techniques in user satisfaction analysis.
Perkembangan teknologi digital telah mendorong adopsi layanan dompet digital secara masif di Indonesia, salah satunya adalah aplikasi GoPay. Penelitian ini bertujuan untuk menganalisis tingkat kepuasan pengguna aplikasi GoPay berdasarkan ulasan yang ditinggalkan di Google Play Store. Metode klasifikasi yang digunakan adalah algoritma Naïve Bayes, dengan proses validasi model menggunakan teknik K-Fold Cross Validation. Data dikumpulkan melalui proses web scraping sebanyak 3.000 ulasan, kemudian dilakukan tahapan preprocessing teks seperti cleansing, case folding, tokenizing, stopword removal, dan stemming. Pelabelan data dilakukan secara otomatis menggunakan model IndoBERT, lalu data diklasifikasikan ke dalam dua kelas kepuasan. Hasil pengujian menunjukkan bahwa algoritma Naïve Bayes berhasil mencapai akurasi sebesar 92,46%, dengan precision 92,25%, recall 94,70%, dan f1-score 93,46%. Validasi menggunakan 10-fold cross validation menghasilkan rata-rata akurasi sebesar 92,23%. Hasil ini menunjukkan bahwa model memiliki performa klasifikasi yang baik serta generalisasi yang stabil terhadap data baru. Penelitian ini diharapkan dapat memberikan kontribusi bagi pengembangan layanan GoPay dan menjadi referensi untuk penerapan metode machine learning dalam analisis kepuasan pengguna