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Teknosains : Jurnal Sains,Teknologi dan Informatika
Published by Sekolah Tinggi Teknologi Muhammadiyah Cileungsi
ISSN : 20873336     EISSN : 27214729     DOI : https://doi.org/10.37373/tekno
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Automotive Engineering Computer Science & IT
Aim and Scope Aim The aim of this journal publication is to disseminate the fundamental ideas or ideas that have been accomplished and the study findings in technology, science and informatics. In terms of community sector study outcomes, the Journal of Technoscience primarily reports on the main issues. Scope Science issues Scopes related to this topic include: Agriculture, Climate, Mathematics & Statistics, Applied Physics, Fundamental Science in Engineering, Bioscience & Biotechnology. Engineering and Technology issues Scopes related to this topic include: Mechanical & Structures, Electrical, Communications & Systems, Fuel and Energy, Material, Termal Management, Safety System and Technology, Maintenance Technology, Automotive . Information and Technology issues Scopes related to this topic include: Artificial Intelligence, Computer Science, E-learning & Curriculum, Information Science, Multimedia, Science Technologies, Information Networks, Internet & Mobile Computing, Machine Learning, Information Science.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 138 Documents
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A design of cross-selling products based on frequent itemset mining for coffee shop business M Zaky Hadi; Ari Hasudungan Pratama Pasaribu; Fatin Saffanah Didin; Lina Aulia
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1065

Abstract

Using a case study at the XYZ coffee shop in Bandar Lampung, Indonesia, this work conducts knowledge extraction on a sales dataset to create a cross-selling model for product bundling advice. Understanding Knowledge extraction was done using a frequent itemset mining technique based on an Apriori algorithm to extract a set of association rules between products. The study implemented a five-stage frequent itemset structure that encompasses business comprehension, data preparation, data exploration, model creation using the Apriori algorithm, and rules evaluation. The framework that comes from this research provides a set of bundling association rules across items for cross-selling strategies that involve many products and complex sales timeframes. Additionally, we recommended sales activities based on loyalty cards to enhance our dataset with consumer attributes and purchasing trends. Based on customized services and tailored offers based on consumers' past purchases and spending patterns, the loyalty card recommendation was created. Consequently, we may target the appropriate clients and items with our marketing initiatives
Marketing strategy to increase sales volume using the AHP method in business XY Tebing Tinggi City Syukriah; Sri Meutia; Andini Khairunisyah Siregar; Angela Prima Ranika
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1066

Abstract

Business xy is one of the culinary industries typical of the city of Tebing Tinggi which operates in the bakery sector which is located in Rambutan District, Tebing Tinggi City, North Sumatra. Xy's business experienced a decline in sales due to increasingly fierce competition selling similar products and a decline in sales due to failure to implement appropriate marketing strategies. By considering these problems, to increase product sales volume, it is necessary to create a marketing mix strategy that uses the Analytical Hierarchy Process (AHP) method. This method will evaluate how consumers view the marketing mix features of peanut bread products. Apart from that, several alternative strategies will be given as references to be implemented in company xy, Tebing Tinggi City. The result of determining the marketing mix priority weights that must be applied to market products is that the strategy to increase market share (41%) focuses on the promotional mix. Alternative strategies that can be implemented include maintaining product quality as the main priority in the product mix (42%), setting prices with quality as the main priority in the product mix (31%), strategic sales locations (44%) as the main priority in the place mix, and increasing market share (44%) as the main priority of the venue mix, and increasing promotional activities on social media (35%) of the promotional mix
Implementation of the SN04 Roko metal sensor on a 5.56 mm caliber portable magazine feeder Fajar Dermawan Tamboenan; Mokhammad Syafaat; Ade Setiawan; Dekki Widiatmoko; Rafi Maulana Al-farizi
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1073

Abstract

Roko SN04 Metal Sensor technology and equipment are evolving and growing more advanced with time. One type of equipment that needs to consider both the user's safety and the equipment's development and safety is technological equipment used in the military. The soldiers can shoot and do so with skill. As a result, soldiers must be able to move swiftly against the enemy and vigilant when utilizing combat equipment to ensure that it is used correctly and for its intended purpose. Nevertheless, there are still several fighting tools in the military that require a lot of physical labor, making them exceedingly inefficient for the user. One such tool is the portable magazine for 5.56-millimeter ammunition. This study employed the 4D methodology, which stands for Define, Design, Develop, and Disseminate. Development research is a part of this methodology. A device for loading magazines has been created to make it easier for soldiers to move in situations where loading bullets by hand is still risky and impractical. The Roko SN04 sensor is used in the construction of this tool. One sensor that can be used as a metal detector is the Roko SN04. This magazine refill gadget uses a DC motor as a mechanic and an Arduino as a control to randomly arrange ammunition. This study's success rate was 96.67%
Feasibility analysis of the veil convection business using value engineering for cost efficiency Dilla; Amri; Muhammad Zakaria
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1090

Abstract

The veil business is a business that operates in the veil manufacturing industry. The products produced vary according to consumer demand and the stock produced. This headscarf product has spread to several areas of Aceh, such as Banda Aceh, Lhokseumawe, and Langsa, especially the Bireuen City area, and has collaborated with several Islamic boarding schools. The headcarf models released by this company greatly influence consumer demand. The better the material, model, and quality, the more consumer demand for convection will increase. This research aims to analyze the feasibility of developing a veil convection business using a value engineering method and financial feasibility. The research results were obtained using the analytical hierarchy process method and vacuum engineering. The chosen alternative is model 1, with a weight of 0.53, a square hijab type, standard material, soft colors, and zipper accessories according to consumer demand. And the results of the financial aspect calculations show that the Ita Hijab convection business has a positive NPV of IDR 29,373,042, with a BEP of 480 units. The payback period for investment capital is 5 months. If you look at the payback period calculation with a BCR value > 1, then the veil convection business is said to be worthy of investment
IoT-based inventory monitoring system for SMEs Lora Ristio Gultom; Vina Sari Yosephine
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1092

Abstract

Industry 4.0's pervasive digital ideas have completely changed how businesses operate. A lot of big businesses have switched to digital systems. However, due to a lack of funding and digital infrastructure, SME sector digitalization issues still exist. Inventory management is one of the many manual methods that many SMEs still have to rely on, which makes it prone to error. To manage inventories more accurately and effectively, manual systems must be changed. The goal of this project is to improve inventory management efficiency by creating a dependable and affordable automated system. A cloud database is connected to the system to provide quick inventory monitoring on warehouse shelves. Prototyping and statistical testing are used in the study technique to evaluate the system's dependability. Using an Internet of Things-based single-board computer, the research creates an inventory monitoring system. With a daily implementation cost of IDR 642.92, the system is deemed cost-effective based on inventory monitoring results on warehouse shelves. Because the system's performance reached a Cronbach's alpha value greater than 0.8, the inventory management system used in the study is regarded as dependable for application in real-world systems to increase inventory management accuracy
Sentiment analysis on twitter about the death penalty using the support vector machine method Sriani; Aidil Halim Lubis; Lia Putri Ashari Lubis
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1096

Abstract

It is estimated that 175 million people in Indonesia utilize the Internet, according to the most recent We Are Social survey. 160 million of them are internet users who utilize social media, according to this data. It is estimated that 19.5 million Indonesians use Twitter. This is consistent with the numerous tweets that users have posted on Twitter about a variety of topics, including politics, music, health, and education. The death penalty is still one of the most popular subjects that is addressed on Twitter. When a judge rules that someone will be executed as retribution for a crime they have committed, this is referred to as the death penalty. As a result, sentiment analysis utilizing the Support Vector Machine technique with linear kernel features and Python programming was used to study public opinions on the death sentence. To improve the accuracy of the results obtained, data labeling on 848 data that were received through the scraping process was done manually in this study. Positive data is categorized as belonging to the class that supports the death sentence, while negative data is categorized as belonging to the class that opposes it. The study that was done shows an 8:2 difference between the training and test data. After preprocessing a dataset containing 758 data points, of which 606 will be utilized for training and 152 for testing, we obtain 91% accuracy, 91% precision, 100% recall, and 95% f1-score
Reducing overnight charges in the loading process of finished goods using FMEA method at PT. XYZ Meilan Agustin; Moh, Mawan Arifin; Wahyu Inggar Fipiana
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1103

Abstract

As a part of the supply chain, the logistics department plays a crucial role in the operational activities of a company. Like other departments, the logistics department also incurs costs that do not add value, such as overnight charges. Failure in the loading of finished goods process can result in a dwell time exceeding 18 hours per vehicle, leading to overnight charges. This occurrence can be prevented by identifying risks and failure modes using Failure Mode and Effect Analysis (FMEA). The FMEA methodology is widely utilized across various industries, including manufacturing, for product development. Additionally, FMEA is frequently employed in failure analysis in service industries, food services, construction, mining, agriculture, and healthcare. The research was conducted to identify failure modes and potential causes in the loading of finished goods process. In PT. XYZ, there are five finished goods storage areas. From the process of weigh-in time, loading finish goods, and weigh-out time, 25 activities were analyzed, and seven activities with the highest Risk Priority Number (RPN) were selected for solutions. The activity with the highest RPN, scoring 512, was the queuing of trucks exceeding loading capacity. The why-why analysis technique was employed to assist in finding solutions. From the seven activities with the highest RPN, 9 solution plans were derived. The recommendation to reduce queue trucks is to organize and monitor the vehicles dispatched by the Freight Forwarder. As a result, the dwell time per vehicle decreased from 9.23 hours to 6.36 hours, and the overnight charges reduced from 148,145 USD to 12,345 USD
Controlling merchandise inventory using the economic order quantity multi-item discount model method using Odoo software at UD. Ridho Khairul Anshar; Subhan A. Gani; Nurbayyinah Rangkuti
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1115

Abstract

UD. Ridho is a business based in Jl. Sudirman Pekan Dolok Masihul, Dolok Masihul District, Serdang Bedagai Regency, North Sumatra, deals in the sale and purchase of goods. The business had an accumulation of surplus inventory, or overstock, which damaged the goods and kept them from going bad. resulting in total losses of Rp 154,104,00 from January 2023 to June 2023. Orders are placed by UD. Ridho for goods from five vendors. The EOQ Multi Item Model Discount Method is applied in this study using the Odoo software. The EOQ Multi-Item Discount Model is a technique for optimizing inventory costs by placing orders for commodities based on economic order amounts from many suppliers. Product categories offered by UD. Ridho Sugar, rice, wheat flour, instant noodles, soy sauce, detergent, salt, water, and edible oil are the ingredients of UD. Ridho. The discount model is applied to goods that receive a discount from the seller according to the quantity of goods bought. Instant noodles, rice, detergent, edible oil, and aqua are the products that are discounted. Applying the multi-item discount model approach with economic order quantity at UD. Ridho was able to save Rp 21,893,660, or 3.02% of the total amount. The Odoo software, which has three modules—inventory, purchasing, and sales orders—can be used with this paradigm to construct an inventory management application
Evaluation of the Muara Satu Community Health Center in Lhokseumawe City's outpatient services' quality utilizing the importance-performance analysis approach and possible increase in customer value Meilinda Dhika Putri; Bakhtiar Bakhtiar; Amri
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1116

Abstract

A dynamic state of people, processes, environments, goods, and services that either meet or beyond expectations is known as service quality. It is vital to improve services to compete and provide higher-quality services at the Muara Satu Community Health Center through initiatives to enhance human resources and ongoing performance improvement. The Muara Satu Community Health Center has received major accreditation for its services; however, as of yet, no reassessment has been conducted. The management of Puskesmas wishes to refine the accreditation to become plenary so that patient satisfaction can serve as a gauge of the success of the center's health services provided to the community. This study aims to evaluate the degree of agreement between patient interests and satisfaction and the Muara Satu Community Health Center's service quality performance. Additionally, it seeks to identify the attributes that should be given priority for service improvement through the application of the Potential Gain in Customer Value (PGCV) method. Patients' complaints regarding services, such as uncomfortable waiting rooms and a lack of information about the ailments they were suffering from, posed a challenge for this study. Five categories were created based on 17 characteristics of the patient requests made at the health center and were given to 58 pre-selected samples. This category includes Assurance, Empathy, Tangible, Reliability, and Responsive. The Muara Satu Health Center is required to implement seven priority orders for quality improvement based on the IPA and PGCV methods, based on data processing findings. These orders include requiring the Community Health Center staff to inform patients before providing services, having a comfortable waiting area, and having officers act quickly and appropriately when necessary. Facilities in Puskesmas are fully equipped. The types of ailments, their treatments, and how to take medication are all thoroughly explained by the doctor. Furthermore, physicians allot enough time for patient examinations
Warehouse material handling layout planning using the activity relationship chart method and blocplan 90 Syahreen Nurmutia
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1138

Abstract

This research aims to plan the layout of material handling in a warehouse using the Activity Relationship Chart (ARC) method which is supported by the application of Blocplan 90. In warehouse management, the layout of material handling plays a crucial role in operational efficiency and productivity. The ARC method is used to identify relationships between activities in the material handling process and Blocplan 90 is used as a tool to optimally arrange the warehouse layout. This research will involve analysis of various material handling activities, including storing, picking, and moving goods. By paying attention to the interrelationships between activities revealed by ARC, this research will produce layout recommendations that can increase efficiency, reduce travel time, and minimize the risk of accidents and damage to goods. It is hoped that the results of this research can provide practical guidance for warehouse planners to improve operational performance and optimize the use of storage space. Thus, this research provides a significant contribution in the context of logistics management and operational efficiency in warehouses. The results of this research show that there is a difference in OMH produced in the selected proposed layout, namely IDR 23,748/day from IDR 49,085/day. This shows that there is a reduction in OMH of 52%

Page 12 of 14 | Total Record : 138

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