Universitas Putera Batam (UPB): Open Journal Systems
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PENGARUH KONTEN LITERASI DIGITAL TERHADAP PERILAKU FOLLOWERS @LITERASIDIGITALKOMINFO
The rapid development of digital technology has significantly changed how young people access and manage information. Instagram, as a widely used social media platform, is strategically used by government agencies to distribute digital literacy content, including through the @literasidigitalkominfo account. This study examines the effect of such content on the information-seeking behavior of its followers. Using a quantitative approach, the study surveyed 397 respondents selected with Slovin’s formula. Data were analyzed with simple linear regression. A structured questionnaire based on a 5-point Likert scale was tested for validity, reliability, and classical assumptions. Results show that digital literacy content positively and significantly influences information-seeking behavior, with a regression coefficient of 0.501 and an R Square of 0.555. This indicates that 55.5% of the behavior variation can be explained by the content’s credibility, shareability, appeal, and relevance. These findings highlight the importance of strategic digital content in encouraging followers to engage actively in information seeking—starting from initiation to focus formulation. The study supports the applicability of New Media Theory and Information Seeking Theory in understanding digital behavior in the modern media landscape.
Keywords: digital literacy content, behavior of followers, new media, Instagram @literasidigitalkominfo, information seekin
Analisis Manajemen Rantai Pasok Pada Perusahaan Cargo dan Courier Service Di Batam
This study discusses the analysis of supply chain management at Cargo dan Courier Service Batam Company, a logistics company based in Batam, Indonesia. The research applies a descri Perusahaanive qualitative method through literature review and company case study. The purpose of this research is to describe the implementation of supply chain management, identify the challenges faced, and analyze the strategies implemented to improve operational efficiency. The results show that PERUSAHAAN Cargo dan Courier Service Batam has adoPerusahaaned information technology-based supply chain management systems, including ERP integration, real-time tracking, and warehouse automation. These implementations successfully reduced delivery delays by up to 40%, improved efficiency by 25%, and enhanced customer satisfaction. However, the company continues to face external challenges such as fluctuating transportation costs, customs regulations, and weather related risks that may affect distribution. In conclusion, the integrated technology-based supply chain management system is a key factor in achieving competitiveness in the logistics industry within the global market
ANALISIS PENGENDALIAN KUALITAS PRODUK KEBAYA DI UKM MARSADA SONGKET KEBAYA DAN TAILOR
Marsada Songket Kebaya and Tailor is a business engaged in convection in the form of services that are still classified as micro that produce products in the form of kebaya and songket. The purpose of this study is to identify the factors that cause defective products in the production process, find out the types of defects that occur and make recommendations for improvement. The methods used are Define, Measure, Analyze, Improve, Control (DMAIC) and Failure Mode and Effect Analysis (FMEA). Based on the results of the study, the defects that occurred in Marsada Songket kebaya and Tailor were sewing defects, accessories defects and fabric defects. The recommendation for improvement is to set SOPs in accordance with work standards so that they can be carried out more efficiently and effectively
IMPLEMENTASI DATA MINING UNTUK MEMPREDIKSI PENJUALAN PRODUK TERLARIS PADA PETSHOP MENGGUNAKAN ALGORITMA NAIVE BAYES
In recent years, the petshop industry has seen a significant increase. This is due to people's growing awareness of pet welfare and the need for specialized products for them. Product sales in petshops are not only influenced by customer preferences, but also by the diversity of pet breeds, which makes data collection and product stock management more complex. Therefore, predicting the products that are most in demand by customers is important. Data mining, as a part of computer science that focuses on extracting information from data, offers an effective way to analyze patterns and trends of product sales in petshops. In this study, Naive Bayes algorithm is used to predict the best-selling products in petshop. RapidMiner software was used to process the data in this study. Data processing with RapidMiner resulted in a prediction accuracy of 90.41%. Class precision for the prediction of hot-selling products is 88.24%, while for non-selling products is 90.00%. Class recall for the prediction of hot-selling products reaches 90.91%, while for products that are not in demand reaches 92.31%
IMPLEMENTASI METODE TOPSIS UNTUK PENENTUAN PROGRAM STUDI DENGAN UJIAN TULIS BERBASIS KOMPUTER
Determining the right study program for prospective students is a very important first step in the higher education journey. Along with technological developments, the computer-based written examination (UTBK) method has become an increasingly popular and efficient choice for college entrance selection. This research aims to implement the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method in determining study programs for UTBK participants. The TOPSIS method was chosen because of its ability to accommodate various complex assessment criteria and provide more objective results. This research uses UTBK score data from several participants as a case study. Criteria considered include subject grades, participant interests, and study program capacity. Each criterion is given a weight according to its level of importance.The research results show that the TOPSIS method is able to provide study program recommendations that suit the profile of each participant effectively. It is hoped that the implementation of this method can help universities in selecting study programs more accurately and fairly, as well as assisting prospective students in choosing study programs that suit their potential and interests
ANALISIS PASOKAN BAHAN BAKU PISANG DENGAN PEMILIHAN PEMASOK PADA UKM AYUMI PASTRY
Supplying raw materials and selecting suppliers is one of the most important things in producing quality products. UKM Ayumi Pastry experienced problems in managing the supply of banana raw materials optimally and experienced problems determining the best banana supplier. In this research, raw material inventory processing was carried out using the Economic Order Quantity (EOQ) method and supplier selection using the Analytical Hierarchy Process (AHP) method. The aim of this research is to analyze the supply of banana raw materials by selecting selected suppliers and ordering economical supplies. Control of raw materials using the EOQ method, namely economical ordering by placing 20 orders in 2023, the order quantity is 217.29 kilograms. Meanwhile, according to Ayumi Pastry's policy, this is done 13,25 times with an order quantity of 371 kilograms. The TIC according to EOQ for the costs incurred is Ro889,943 less than the costs incurred by the UKM Ayumi Pastry policy. For the AHP method, the supplier selected is Supplier A as the main priority in fulfilling banana raw materials with a weight of 0.5245 and Supplier B as a backup supplier in fulfilling banana raw materials is in Rank III with a weight of 0.1929
SISTEM MONITORING KARYAWAN PT ATHAYASA MANDIRI MENGGUNAKAN GPS BERBASIS ANDROID
PT Athayasa Mandiri, specializing in heavy equipment and forklift maintenance, faces challenges in real-time monitoring of field technicians due to an ineffective manual system, resulting in delays and reduced service quality. To address this, an Android-based monitoring application is developed using GPS for location tracking and Google Maps API for navigation and route optimization. Built with Flutter for a modern interface and Firebase for reliable data storage, the application adopts the Design Thinking methodology to address user needs, including technicians and management. Key features include real-time location verification, travel history reports, and schedule monitoring, minimizing potential fraud while enhancing task coordination. This system improves transparency, accelerates decision-making, and boosts operational efficiency, reducing costs and increasing customer satisfaction. Additionally, the application is designed to support future IoT integration, providing strategic value and strengthening the company’s competitiveness in the industrial market
DESAIN DAN IMPLEMENTASI SISTEM PENGENDALIAN GORDEN OTOMATIS BERBASIS ARDUINO MENGGUNAKAN SENSOR LIGHT DEPENDENT RESISTOR
This research focuses on the design and implementation of an automatic curtain control system using an Arduino microcontroller and an LDR (Light Dependent Resistor) sensor. The system aims to optimize energy efficiency in residential buildings by automatically adjusting curtain openings based on ambient light intensity. The LDR sensor detects light levels, and the Arduino processes this data to control a DC motor that opens or closes the curtains. The system was prototyped using readily available components, including an Arduino Uno, LDR sensor, DC motor, and a wooden frame for housing the components. Testing demonstrated the system's effectiveness in responding to light changes, with the LDR sensor exhibiting an average response time of 2-3 seconds, and the DC motor accurately controlling the curtains with an average response time of 1 second. This automated solution has the potential to reduce reliance on artificial lighting, thereby contributing to energy conservation in homes
SISTEM PAKAR MENDIAGNOSA PENYAKIT PADA BURUNG LOVEBIRD DENGAN METODE FORWARD CHAINING BERBASIS WEB
The disease known as avian pox poses a serious threat to Lovebirds and can lead to their death. In some regions, this illness is referred to as "patek." The primary cause of this disease is a virus that, upon infecting a Lovebird, triggers excessive growth in the outer skin layer. This growth results in new tissue that quickly dies, forming warts. If left untreated, these warts can enlarge. The avian pox virus can be transmitted in various ways, including bites from infected mosquitoes, flies, contact with sick birds, and even through contaminated food or water. As a result of this infection, Lovebirds may experience respiratory difficulties and struggle to eat, ultimately leading to death. Therefore, it is crucial to develop a system that can assist Lovebird enthusiasts in preventing and addressing this disease. One potential solution is an expert system that can enhance the ability to diagnose symptoms like a professional
ANALISIS BEBAN KERJA FISIK DALAM PENENTUAN WAKTU ISTIRAHAT PADA KARYAWAN WELDER PADA PT MCDERMOT INDONESIA
This study aims to analyze the physical workload and determine the optimal rest time for welders at PT McDermott Indonesia using a physiological approach. Workload was measured through the Cardiovascular Load (CVL) method and energy consumption based on heart rates during work. The results showed that %CVL ranged from 30%–59%, categorized as "needs improvement." Most workers had energy consumption <5 Kcal/min, but three workers exceeded this threshold: two morning shift level-2 welders (Putra 5.07 Kcal/min; Hotmianto 5.05 Kcal/min) and one night shift level-4 welder (Deo 5.25 Kcal/min). These workers required additional rest times of 11.8 minutes, 8.5 minutes, and 38.7 minutes, respectively. Meanwhile, the standard 30-minute rest period was sufficient for others