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Articles 1,077 Documents
Post-COVID-19 Era: Navigating Challenges in Online Thesis Guidance for Academic Enrichment Ahmad Faza; Johan Setiawan; Eunike Endariahna Surbakti; Albert Richard Dammara Alba; Cindy Febriani Santoso; Fidelia Rahmah; Mella Margareta Veronica; Jacintha Cordelie
International Journal of Science, Technology & Management Vol. 5 No. 1 (2024): January 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i1.1017

Abstract

The integration of information technology (IT) in higher education has significantly enhanced academic performance, with a focus on information systems, electronic thesis management, and legal responsibilities outlined in Higher Education Law No. 12 of 2012. This study explores the challenges and opportunities arising from the transition to online thesis guidance, prompted by the post-COVID-19 era, within the Information Systems Program at Multimedia Nusantara University. Utilizing a qualitative case study approach and thematic analysis, the research uncovers challenges in clarity of instructions, guidance note management, and dynamics of relationships with academic mentors, examiners, and the thesis defense committee. As students navigate the intricate landscape of online thesis guidance, the study emphasizes the importance of transparent communication and adaptability. In conclusion, while IT integration enriches academic quality, challenges identified in online thesis guidance serve as guideposts for institutions to refine strategies and enhance communication. This research provides valuable insights for educational institutions, ensuring a seamless and enriching academic experience for students in the evolving landscape of higher education, particularly in the context of online thesis guidance.
Procurement And Distribution Of Integrated Values Study Of Gamers Characters Annas, Mohammad; Humairoh, Humairoh
International Journal of Science, Technology & Management Vol. 5 No. 1 (2024): January 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i1.1019

Abstract

The aim of the study were to analyze the factors affecting gamers characters based on values in particular procurement, distribution and perception on how specific games must be developed. The procurement and distribution of both hardwares and its programmable various games becoming the essential in this study. Various values which formed the integrated values plus two other independent variables such as character identification and satisfaction rate were affecting the dependent variable, the intention of purchasing particular games. Structural equation analysis was done to justify if the dependent variables significantly affected by integration value, character identification and satisfaction rate. The result showed that Integrated Value of Purchading Game Items had a positive influence on Game Items Purchase Intention where the results of data processing showed that the standard coeficient was positive and the P Value showed a value of 0.000 which was in accordance with the requirement that the P Value must be below 0.05.
Analysis Of The Influence Of Port Business Management By Pt Pelabuhan Cilegon Mandiri On The Satisfaction And Loyalty Of Vessel Service Users In Banten Port Vicrihadi, Ariel; Kurniawan, Agus; Didik Harnoko, Eko; Maulana, Idham
International Journal of Science, Technology & Management Vol. 5 No. 1 (2024): January 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i1.1023

Abstract

There are more than 30 port potential industrial ports which are directed to be developed and advanced, so the Banten Provincial government formed a Regional Company or Regional Owned Enterprise (BUMD), namely PD. PCM which is now PT. Cilegon Mandiri Port which has the main task of providing management and services in the field of ship guidance and towing. This research aims to determine and develop the influence of the management of Port Business Entities by PT Pelabuhan Cilegon Mandiri on the loyalty of ship service users through customer satisfaction at the Port of Banten. The research strategy used in this research is quantitative with an explanatory research approach. The research sample was 108 service users at Banten Port. The analytical tool used by SEMPLS with SmartPLS is to answer the problem formulation. The results of the research show that there is a significant positive influence of the management of Port Business Entities by PT Pelabuhan Cilegon Mandiri on the satisfaction of ship service users. There is a significant positive influence of the management of Port Business Entities by PT Pelabuhan Cilegon Mandiri on the loyalty of ship service users. There is a significant positive influence on customer satisfaction. on the loyalty of ship service users, satisfaction of ship service users is able to mediate the management of Port Business Entities by PT Pelabuhan Cilegon Mandiri on the loyalty of ship service users at Banten Port. It can be concluded that both directly and indirectly, there is an influence of the management of Port Business Entities by PT Pelabuhan Cilegon Mandiri on the loyalty of ship service users through satisfaction at the Port of Banten.
Application Of K-Means Clustering For Customer Segmentation In Grocery Stores In Kenya Omol, Edwin; Onyangor, Dorcas; Mburu, Lucy; Abuonji, Paul
International Journal of Science, Technology & Management Vol. 5 No. 1 (2024): January 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i1.1024

Abstract

The retail industry, particularly in the context of grocery stores, plays a vital role in meeting consumers' daily needs. To optimize marketing strategies and enhance customer satisfaction, understanding customer behavior and preferences is crucial. Customer segmentation, a powerful market research technique, enables businesses to group customers with shared characteristics into distinct segments, allowing targeted and personalized approaches. This article explores the application of the K-means clustering algorithm for customer segmentation in grocery stores within the unique context of Kenya. By leveraging transactional and demographic data from diverse grocery stores across Kenya, the study aims to identify homogeneous customer groups with similar purchasing behaviors and preferences. The data collection process involved obtaining consent from store owners and ensuring data privacy and security. Following data preprocessing, K-means clustering was applied, and various validation techniques were utilized to determine the optimal number of clusters. The results yielded valuable insights into customer segments, aiding the identification of key customer groups and their distinct preferences.
The Influence Of E-Service Quality Dimensions On E-Customer Satisfaction And Its Impact On E-Customer Loyalty Tiket.Com Athallah Naufal, Muhammad; Millanyani, Heppy; Trianasari, Nurvita
International Journal of Science, Technology & Management Vol. 5 No. 1 (2024): January 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i1.1025

Abstract

The problem that is often experienced by companies in the field of online transportation services such as travel agencies is the quality of service provided. Most consumers are dissatisfied with the services provided. These problems make researchers interested in further examining the level of consumer satisfaction with the services provided and analyzing consumer loyalty in using the travel agency application in the form of tiket.com. The implementation of this research implements a descriptive quantitative method with the data collection technique, namely a questionnaire. Then the sample selection method applies non-probability sampling of the purposive sampling type and 260 respondents are obtained. While the data analysis implements hypothesis testing in the form of SEM-PLS. Based on the test results and analysis conducted, it was found that 1) e-customer satisfaction is positively influenced insignificantly by site organization; 2) e-customer satisfaction is not positively influenced by efficiency; 3) e-customer satisfaction is positively influenced insignificantly by responsiveness; 4) e-customer satisfaction is positively influenced by user friendliness; 5) e-customer satisfaction is positively influenced insignificantly by personal needs; 6) e-customer satisfaction is positively influenced by fulfillment; and 7) e-customer satisfaction is positively influenced by security
The Santripreneur Vocational High School Entrepreneurship Education Management Model: A Single Case Study At Anharul Ulum Islamic Vocational High School In Blitar, East Java, Indonesia Supriyono, Supriyono; Hidayaturrahman, Hidayaturrahman; Taufan Perdana Putra, Muhammad
International Journal of Science, Technology & Management Vol. 5 No. 1 (2024): January 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i1.1026

Abstract

The present study reports a single case study on the Santripreneur Entrepreneurship Education Management Model at An Harul Ulum Islamic Boarding School in Blitar, East Java, Indonesia. This study aimed to disclose the model of Santripreneur Entrepreneurship Education Management. The focuses of this study were (1)Planning in contexts of Policies, Programs, and program dissemination, (2) Organization in contexts of roles, responsibility, and procedures (3)Implementation in contexts of Method, Process, Legalities, Facilities, and Practices, and (4) Evaluation contexts of process and results. This study employed a qualitative embedded single case study. Data were collected through interviews, observation, and documentation. The data was analyzed by using the interactive analysis model. The results of the research revealed the following propositions :(1).Synchronization of the curriculum content and time frame enables the Santripreneur Entrepreneurship Educators to implement both the vocational and Pesantren-based Islamic studies, (2) The shared laboratory and teaching factory usage enables creative and productive teachers to effectively implement the Santripreneur Entrepreneurship Education, (3) The use of the internal quality assurance standard provides the trust of the customers., and (4). The Santripreneur Entrepreneurship Education results in the students. These propositions were generated from the Santripreneur Entrepreneurship Model consisting of the planning, organizing, implementation, and evaluation characterized by the pesantren-based education resulting in students’ entrepreneurial skills effectively.
Anomaly Detection In IoT Sensor Data Using Machine Learning Techniques For Predictive Maintenance In Smart Grids Omol, Edwin; Mburu, Lucy; Onyango, Dorcas
International Journal of Science, Technology & Management Vol. 5 No. 1 (2024): January 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i1.1028

Abstract

The proliferation of Internet of Things (IoT) devices in the smart grid infrastructure has enabled the generation of massive amounts of sensor data. This wealth of data presents an opportunity to implement sophisticated data analytics techniques for predictive maintenance in smart grids. Anomaly detection using machine learning algorithms has emerged as a promising approach to identifying irregular patterns and deviations in sensor data, leading to proactive maintenance strategies. This article explores theapplication of machine learning techniques for anomaly detection in IoT sensor data to enable predictive maintenance in smart grids. We delve into various machine learning algorithms, including Isolation Forest, One-Class SVM, Autoencoders, and Random Forest, assessing their capabilities in identifying anomalies in large-scale data streams. The study also reviews the Performance Evaluation and Model Selection techniques for Anomaly Detection in IoT Sensor Data, possible integration and deployment challenges, and critique of the few selected studies. Explicitly, this scholarly inquiry questions the profound significance of predictive maintenance within the context of Smart Grids. It elucidates distinct categories of anomalies inherent within IoT Sensor Data.Furthermore, the article expounds upon various classes of Machine Learning Algorithms while also clarifying the criteria employed for their selection. Notably, the study probes the potential hindrances that could emerge during the deployment and integration of Machine Learning Techniques specifically aimed at Anomaly Detection in IoT Sensor Data. In addition, the research sheds light on the aspects that might have been inadvertently overlooked within the existing corpus of literature.
Indonesian Preference of Teleconsultation Modality: Qualitative Study Ria Wibowo, Yossico; Djunita Pasaribu, Rina
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.v5i4.1029

Abstract

Since the outbreak of the COVID-19 pandemic, telemedicine users throughout the world have increased, including in Indonesia. Since COVID-19 pandemic, telemedicine is a business platform in the health sector with increasing number of users. Minister of Health Regulation Number 20 of 2019, which is currently the basis for implementing telemedicine in Indonesia, does not regulate the use of teleconsultation media used for diagnosis on telemedicine platforms. This research aims to provide recommendations regarding the use of teleconsultation media on telemedicine platforms. In this study, data was obtained from interviews with thirty-three participants. In conclusion, the video call feature should be a mandatory modality for teleconsultation, but it is optional to use and with adjusted teleconsultation fees.
Narrowband IoT in Livestock Farming: A Technological Innovation for Productivity and Sustainability Sutanto, Achmad; Rakhman, Arif; Afriliana, Ida; Hernowo, Rudi; Eko Nugroho, Wildani; Fayruz, Mohammad
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1030

Abstract

The integration of technology in livestock farming is crucial for enhancing production efficiency and animal welfare. This study aimed to develop and evaluate the implementation of a Narrowband IoT (NB-IoT)-based automated monitoring system in poultry farming. Using an experimental design, the research involved 30,000 day-old chicks at PT. Anugerah Teknologi Ternak in Central Java, Indonesia. The NB-IoT system collected real-time data on environmental parameters and poultry activity. Time-series analysis revealed non-stationary data, while correlation analysis showed a strong negative relationship between temperature and humidity (r = -0.8521). Anomaly detection identified 13.33% of observations as anomalous, demonstrating the system's capability for early issue detection. Regression modeling (R-squared = 0.7261) indicated that temperature and humidity significantly influence poultry productivity. The study concludes that NB-IoT implementation in poultry farming has significant potential for enhancing productivity through real-time monitoring and early anomaly detection, supporting more efficient and sustainable precision farming practices. However, limitations in data stationarity and sample generalizability suggest the need for further research to improve long-term predictions and broaden applicability across diverse farming contexts.
Isolation and Characterization of Lactic Acid Bacteria from Rice Washing Water Waste Abidin, Zainal; Mudi, Rusmini, La; Hidayat, Nur; Dwi Mentari, Silvi; Daryono, Daryono; Prima, Dody
International Journal of Science, Technology & Management Vol. 5 No. 1 (2024): January 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i1.1031

Abstract

Rice washing water is still considered as household waste because its benefits for plants are not widely known. Rice washing water is obtained from water that is washed many times before cooking which is rich in carbohydrate content in the form of starch and glucose and vitamins. Lactic acid bacteria (LAB) require sugar or carbohydrates from rice washing water which is used as food to support metabolic activity and microbial cell proliferation. LAB is also included in a large group of microorganisms that physiologically produce lactic acid as the main metabolic product. LAB are classified as good bacteria so they are widely used as food processing products, especially those related to human digestion. The use of lactic acid bacteria in the agricultural sector is still very minimal, especially as a biodecomposer, even though LAB has the ability to produce cellulase enzymes which are very important in the breakdown of lignin in organic matter. This study aims to determine the presence of lactic acid bacteria in rice washing water fermentation. Isolation of lactic acid bacteria using pour plate method with MRSA (de Man Rogosa Sharpe Agar) media. Lactic acid bacteria isolates obtained were then characterized morphologically, physically, and biochemically. The results of isolation and characterization obtained four isolates with the codes AL-01, AL-02, AL-03, and AL-04. Four LAB isolates showed gram-positive, catalase-positive, non-motile, non-H2S, and IAA-positive results.

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