cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Arman Harahap
Contact Email
ijstm@inarah.co.id
Phone
+6285370005518
Journal Mail Official
armanhrahap82@gmail.com
Editorial Address
Jl. SM. Raja, No 27 Kota Rantauprapat, Sumatera Utara, Indonesia Whatsapp: +6285370005518 e-Mail: jurnalijstm@gmail.com
Location
Unknown,
Unknown
INDONESIA
International Journal Of Science, Technology & Management (IJSTM)
Published by CV. Inara
ISSN : -     EISSN : 27224015     DOI : doi.org/10.46729
Core Subject : Science, Education, Agriculture, Engineering,
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation
International Journal of Science, Technology & Management (IJSTM) is an international scholarly refereed research journal which aims to promote the theory and practice of science, technology, innovation, engineering and management.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 1,077 Documents
 79   80   81   82   83 
Implementation of the ABC Analysis to the Inventory Management Ray Silaen, Belinda; Nasution, Marnis; Muti’ah, Rahma
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1144

Abstract

In an ever-changing market, inventory management is becoming a major problem that requires thorough planning, supervision, and control. If companies are well managed and have good planning and control, they can last a long time. Poor inventory management is very detrimental to the business as it can cause the company to fail to meet customer or consumer demands, which can lead customers to choose other companies that can meet their demands. Plan your stockpiles to maintain balance, avoid excess or deficiency, and control storage costs. ABC analysis, one of the most common inventory management techniques, divides inventory into three categories (A, B, and C) based on total annual product usage or total inventory cost based on the Pareto principle. The goal of this study is to use ABC analysis in the company's inventory management to identify products in categories A, B, and C based on profitability and sales factors. The research phases include data collection, data preprocessing, exploratory data analysis, ABC analysis, key product analysis, and explanatory analysis. According to the research findings, Segment A accounts for 18% of the total product and generates 78% of the overall profit. Segment B contributes 23% of the total number of items and 16% of all revenue.
Cyberloafing In The Digital Age, Disrupting Or Enhancing Performance?: Literature Review Dudija, Nidya; Miranti, Rizka
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1145

Abstract

One aspect that becomes a reference for the development of a company is employee performance. In an effort to improve employee performance, several companies implement policies by providing technology benefits such as internet, cellphones and computers. The original aim of implementing this technology allowance was to maximize employee performance. However, the facts on the ground show that there is a phenomenon of irregularities in the use of these technological facilities which are used for personal interests, whether opening e-mail, playing games, accessing personal social media and accessing entertainment sites. This phenomenon is called cyberloafing. Cyberloafing is a serious problem related to employee behavior, where this behavior will be contrary to the employee's integrity in completing their duties. Cyberloafing is disciplinary behavior where a worker diverts concentration and work time to activities outside of work interests. This article reviews the literature on cyberloafing among Generation Z ASN employees to help readers better understand this condition. This aims to clarify the phenomenon of cyberloafing, the impact of cyberloafing, benchmarks and dimensions of cyberloafing.
Exploring the Influence of Social Media Marketing on Brand Trust, Brand Image, and Brand Loyalty for Fore Coffee Rachmat Ramadhani, Muh.; Ariyanti, Maya
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1149

Abstract

Indonesia's utilization of digital services such as mobile payments, paid digital content, online transportation, and food delivery has been amplified due to the rise in internet and smartphone usage. The digitalization of the food and beverage (F&B) industry has experienced significant growth since 2015, particularly accelerated by the COVID-19 pandemic. According to McKinsey's research conducted in 2020, there was a significant 34% surge in the number of individuals using food delivery services during the pandemic. Fore Coffee, a coffee startup established in 2018, employs digital marketing strategies to enhance sales and promote brand recognition. Fore Coffee has successfully pleased customers using social media and mobile applications. This study utilizes the concept of brand trust to investigate the impact of social media marketing on brand image and customer loyalty. Research utilizes PLS-SEM. A digital survey was distributed to a total of 301 individuals who are customers of Fore Coffee within the previous six-month period. Studies indicate that social media marketing has a positive and significant influence on brand trust, leading to a positive impact on brand image and customer loyalty. A well-executed digital marketing strategy has the potential to enhance brand trust, image, and loyalty Keywords: Brand Image; Brand Loyalty; Brand Trust; Social Media Marketing
Advanced UV Spectrophotometry-Classical Least Squares Determination of Paracetamol, Phenylpropanolamine HCl, and Chlorpheniramine Maleate in Tablet Dosage Form Tarigan, Rida Evalina; Sajida, Nurul; Surbakti, Chemayanti
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1150

Abstract

This study aims to develop and validate an advanced UV spectrophotometry- Classical Least Squares (CLS) for the simultaneous determination of Paracetamol (PA), Phenylpropanolamine HCl (PH), and Chlorpheniramine Maleate (CH) in tablet dosage form. The method involves the preparation of standard solutions of the three compounds across their respective concentration ranges 3-9 µg/mL for PA, 170-512 µg/mL for PH, and 7-19 µg/mL for CH. The CLS spectrophotometry UV method was applied to these spectra to construct calibration, which were then used to predict the concentrations of PA, PH, and CH in tablet dosage form. Validation of the method demonstrated excellent linearity, precision, and accuracy, with recovery rates of 99.26% for PA, 100.06% for PH, and 99.41% for CH. Sensitivity analysis revealed Limits of Detection (LOD) of 0.10 µg/mL for PA, 1.20 µg/mL for PH, and 0.30 µg/mL for CH, and Limits of Quantification (LOQ) of 0,30 µg/mL for PA, 4.00 µg/mL for PH, and 1.50 µg/mL for CH. The method’s robustness and reliability make it an excellent choice for routine quality control of these compounds in pharmaceutical tablet formulations.
Automatic Monitoring System Iot (Internet Of Things) Based Water Tanks Pane, Rahmadani; Purnama, Iwan; Dar Hasibuan, Halmi; Rasyid Munthe, Ibnu
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1151

Abstract

Water tanks are widely used to store water in the community. However, the filling process still uses a manual method so it cannot monitor/monitor the water level in the tank, so when the water is full in the tank until it overflows it is then turned off. Water tanks are often placed at a height to take advantage of gravity so that water can flow optimally. The high position of the water tank is difficult for users to reach to determine the quality and volume of water. The performance of this tool has 2 conditions. The first condition will discuss the water level monitoring tool in the tank. Using the tool developed, the water pump can be turned on and off automatically which is controlled using a monitoring tool using a smartphone and the Blynk application with a water level indicator. , water flow, and watervolume and Notification of water conditions via Telegram. Technology for distributing and monitoring water in tanks is still limited to conventional means by turning on and opening the water tap. For this reason, a control system is needed that can monitor and control the water volume in several tanks through one application display on a smartphone such as Telegram. By using the NodeMCU ESP8266 as a microcontroller base, an ultrasonic sensor as a water volume measuring sensor, and a Mini Water Pump, the condition of the water volume and all changes can always be monitored via notifications on Telegram. Apart from that, the tool can also be controlled automatically or manually through the commands provided on Telegram. In this way, the concept of using Telegram as a water tank volume control and monitoring system can be the right alternative choice in designing a water tank control system. The research method used is a prototyping system. The expected result is the realization of automatic floodgates to make it easier for humans to carry out their tasks and make the system run more efficiently. Apart from being automatic, this tool has the advantage that it can be controlled remotely using the internet of things. The design of this automatic sluice gate uses an Arduino Uno microcontroller as a processing tool, and is equipped with an ultrasonic sensor, water level float switch sensor, servo motor.
Information And Communication Technology Mediates The Competence And Workers And Its Impact On The Productivity Of Corn Farming In Tojo Una - Una Regency P. Adam, Fauziah; Darman, Saiful; P. Adam, Rosida; Antara, Made; Abd. Rauf, Rustam; Lamusa, Arifudin
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1152

Abstract

The aim of this research is to analyze The influence of instructor competency and work motivation on mastery of information and communication technology and instructor performance and its impact on corn farming productivity in Tojo Una- Una Regency . Causality research method using the SEM-PLS approach. The research sample was 151 extension workers in Tojo Una-Una Regency. The research results show that of the 9 (nine ) research hypotheses there is 1 (one) hypothesis that is not significant, namely the motivation variable The work of extension workers has an effect but is not significant on the performance of agricultural extension workers in Tojo Una-Una Regency. Furthermore, the research results show that Information and Communication Technology mediates the influence of competency and Work Motivation, and the performance of instructors mediates the application of information technology on farming productivity.
Implementation of Convolutional Neural Network Algorithms to Detect the Ripeness of Palm Fruits based on Image Colors Guna Dharma, Aditya; Purnama, Iwan; Bangun, Budianto
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1153

Abstract

The ripeness of oil palm fruit greatly affects the quality of the oil produced. Usually, humans manually detect the maturity of oil palm fruit, a process that can be inconsistent and time-consuming. Therefore, there is a need for automated methods that can improve accuracy and efficiency in determining the maturity of oil palm fruit. The study proposes using the Convolutional Neural Network algorithm to detect oil palm fruit maturity based on digital color images. We expect a convolutional neural network, known for its effectiveness in image analysis, to deliver accurate results in classifying fruit maturity. The aim of this study is to develop and test a model of a convolutional neural network that can classify oil palm fruit into three maturity categories: raw, ripe, and rotten. This study employs a maturity-categorized data set of oil palm images. We built and trained a convolutional neural network model using this data set. We evaluate the model performance using four main metrics: accuracy, precision, recall, and f1-score. We perform an in-depth analysis to assess model performance in each maturity category. The confusion matrix yielded an accuracy of 74.6%. The convolutional neural network model developed showed the highest precision results for the ripe fruit (86.00%), followed by rotten fruit (72.30%), and raw fruit (67.30%). We obtained the highest recalls (85.40%) for the raw fruit category, followed by ripe fruits (75.50%) and rotten fruits (72.30%.
Sentiment Analysis of Twitter towards the 2024 Indonesian Presidential Candidates Using the Naïve Bayes Algorithms Gunawan, Yogi; Purnama, Iwan; Rohani, Rohani
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1154

Abstract

The increasing use of social media (Twitter) has made it a platform for the public to express their views on the Indonesian presidential candidate in the 2024 elections. The sentiment expressed through comments on Twitter provides important insights into the public perception of the candidates. However, given the volume and speed at which information is disseminated on social media, manual analysis of this sentiment becomes impractical. Therefore, the use of the Naïve Bayes algorithm for automatic sentiment analysis is considered essential to understanding voter support and preferences. The study aims to analyze Twitter users' sentiments towards three Indonesian presidential candidates in 2024, Anies, Ganjar, and Prabowo, using the Naïve Bayes algorithm. We categorize the results of this analysis into three sentiment categories: positive, negative, and neutral. The methods used in the study involved collecting Twitter comment data related to the three candidates, pre-processing data, labeling data, applying the Naïve Bayes algorithm for the classification of sentiment, and evaluation of the performance of the algorithm performed by calculating the level of accuracy. The results of the research showed that the Naïve Bayes algorithm was able to classify sentiments with fairly high precision, namely 75.54% for Anies, 82.74% for Ganjar, and 75.24% for Prabowo. The conclusion of this study is that sentimental analysis using the Naïve Bayes algorithm can provide significant insights into voter preferences and support. The sentimental data generated can serve as a strong foundation for decision-makers to design campaign strategies that are more effective and responsive to public perception. This research also opens up opportunities for further development in the use of sentimental analysis techniques in politics and campaigns.
Implementation of Decision Tree Method to Predict Customer Interest in Internet Data Packages Surya, Rezki; Dar, Muhammad Halmi; Aini Nasution, Fitri
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1155

Abstract

The use of smartphones is on the rise, making internet packages vital in everyday life. In Indonesia, mobile operators offer a variety of data packages to meet customer needs. Understanding preferences is important to making the right decisions when providing products that meet customer needs. However, not all packages are suitable for all customers. Telkomsel is one of the providers that can deliver consistent signals and a wide range of data packages, but it still has a relatively high price. The study uses decision tree methodology to analyze citizens' preferences about Telkomsel services, comparing the relative cost of data packages with other services. This research will use surveys with samples from different communities to determine the representativeness of the results and provide strategic recommendations for Telkomsel to improve customer satisfaction. The research methods employed in this study included data collection, preprocessing, data division, model design, prediction results, and result evaluation. The results showed accuracy levels of 98.7%, precision of 100%, recall of 98.7%, specificity of 100%, and an F1-score of 99.3%. This study demonstrates the effectiveness of the decision tree model in predicting customer interest in Telkomsel services. Despite some limitations, the findings provide valuable insights that Telkomsel can use to develop more effective marketing strategies.
Emotional Experience On E Wom Swiss Bell Silae Hotel In Palu City, Central Sulawesi Idham, Idham; Yasin, Mohamad; Bin Muhtar, Dzulkifli; Wahab, Abdul
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1156

Abstract

Service Quality (SQ), Customer Satisfaction (CS), and Positive Emotional Experience (PEE) have the effect of increasing the positive eWOM of hotel visits. Positive eWOM is a review of the experience felt by consumers who have had a good experience after staying at a hotel. The aim of the research is to test whether Service Quality, Customer Satisfaction (CS), and Positive Emotional Experience, have an influence on increasing positive eWOM visits to Swiss Bel Hotel Silae Palu, based on the Traveloka hotel reservation application site. The aim of the research is the influence of customer satisfaction on eWOM Swiss Bel Hotel Silae Palu. identify the influence of service quality on eWOM of Swiss Bel Hotel Silae Palu. What is the influence of positive emotional experience on eWOM Swiss Bel Hotel Silae Palu. Service quality is important for companies facing competition in the market, satisfying consumer needs and desires, paying attention to service quality (Maulana, 2016). Using quantitative uses numerical measurements. The influence of the Independent Variable on the Dependent Variable is concluded, Customer Satisfaction of the Swiss Bell Silae Hotel in Palu City, has a significant influence on the eWOM of the Swiss Bell Silae Hotel in Palu City. Service Quality provided by the Swiss Bell Silae Hotel in Palu City has a significant influence on the eWOM of the Swiss Bell Silae Hotel in Palu City, Positive Emotional Experience of Swiss Bell Silae Hotel customers in Palu City has a significant influence on Customer Satisfaction of the Swiss Bell Silae Hotel in Palu City. Positive Emotional Experience of Swiss Bell Silae Hotel customers in Palu City has a significant influence on the eWOM of Swiss Bell Silae Hotel in Palu City.

Page 81 of 108 | Total Record : 1077

 79   80   81   82   83 

Filter by Year

2020 2026


Reset
Filter By Issues
All Issue Vol. 7 No. 2 (2026): March 2026 Vol. 7 No. 1 (2026): January 2026 Vol. 6 No. 6 (2025): November 2025 Vol. 6 No. 5 (2025): September 2025 Vol. 6 No. 4 (2025): July 2025 Vol. 6 No. 3 (2025): May 2025 Vol. 6 No. 2 (2025): March 2025 Vol. 6 No. 1 (2025): January 2025 Vol. 5 No. 6 (2024): November 2024 Vol. 5 No. 5 (2024): September 2024 Vol. 5 No. 4 (2024): July 2024 Vol. 5 No. 3 (2024): May 2024 Vol. 5 No. 2 (2024): March 2024 Vol. 5 No. 1 (2024): January 2024 Vol. 4 No. 5 (2024): September 2024 Vol. 4 No. 6 (2023): November 2023 Vol. 4 No. 5 (2023): September 2023 Vol. 4 No. 4 (2023): July 2023 Vol. 4 No. 3 (2023): May 2023 Vol. 4 No. 2 (2023): March 2023 Vol. 4 No. 1 (2023): January 2023 Vol. 3 No. 6 (2022): November 2022 Vol. 3 No. 5 (2022): September 2022 Vol. 3 No. 4 (2022): July 2022 Vol. 3 No. 3 (2022): May 2022 Vol. 3 No. 2 (2022): March 2022 Vol. 3 No. 1 (2022): January 2022 Vol. 2 No. 6 (2021): November 2021 Vol. 2 No. 5 (2021): September 2021 Vol. 2 No. 4 (2021): July 2021 Vol. 2 No. 3 (2021): May 2021 Vol. 2 No. 2 (2021): March 2021 Vol. 2 No. 1 (2021): January 2021 Vol. 1 No. 4 (2020): November 2020 Vol. 1 No. 3 (2020): September 2020 Vol. 1 No. 2 (2020): July 2020 Vol. 1 No. 1 (2020): May 2020 More Issue