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All Journal Adi Widya : Jurnal Pengabdian Masyarakat Jurnal Inotera Insearch: Information System Research Journal Jurnal Minfo Polgan (JMP) Engineering and Technology International Journal (EATIJ) Jurnal Teknologi Informasi SOROT: Jurnal Pengabdian Kepada Masyarakat Rona Teknik Pertanian
Sanusi
Universitas Teuku Umar
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Journal : Jurnal Inotera

 1 
Using Toe Framework to Analyze Factors Influencing Social Media Usage by Micro, Small And Medium Enterprises Muhammad Ardiansyah; Peni Sawitri; Sanusi
Jurnal Inotera Vol. 6 No. 2 (2021): July-December 2021
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol6.Iss2.2021.ID160

Abstract

This study aims to evaluate the factors that influence the use of social media in micro, small and medium enterprises. By using a mixed qualitative and quantitative approach, the study examines the influence of factors based on the TOE (Technology-Organization-Environment) Framework theory. The data collection process was carried out by means of interviews and questionnaires distributed online. From the quantitative analysis conducted on 100 samples using multiple linear regression techniques, it is known simultaneously that the factors in the context of the TOE Framework have a significant effect on the use of social media in MSMEs. In the context of technology, the factors that have a significant effect on the use of social media are the interactivity of social media and the suitability of the technology that has been previously owned. Data analysis was carried out using SPSS 25. The results of the study concluded that the suitability factor, inter-activity and entrepreneurial orientation had a significant effect on the use of social media in MSMEs.
Clustering of Palm Oil Production Results with K-Means Algorithm in West Aceh Regency Sanusi; Ilham Juliwardi; Muhammad Ardiansyah; Nica Astrianda; Ana Elviajakfar
Jurnal Inotera Vol. 7 No. 1 (2022): January-June 2022
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol7.Iss1.2022.ID168

Abstract

The area and production of oil palm in West Aceh continues to experience a significant increase, because along with the expansion of oil palm plantations in the local area, it is very influential on employment and improving the economy of the community. This study aims to group the results of oil palm production and planted area by applying the data mining technique method with the K-Means Clustering algorithm. The data used in this study in the form of area and palm oil production results were obtained from the West Aceh catalog (BAPPEDA) and the Central Statistics Agency from 2005 to 2020 in 12 sub-districts of West Aceh Regency. The results of the study showed that the high cluster (cluster 1) contained 1 sub-district, namely Kaway XVI, the medium cluster (cluster 0) there were 7 sub-districts namely Bubon, Johan Pahlawan, Panten Reu, Samatiga, Sungai Mas, Woyla Barat, and Woyla Barat, while the cluster low (cluster 2), there are 4 sub-districts, namely Arongan Lambalek, Meureubo, Pante Ceureumen, and Woyla.
Perancangan Sistem Pakar Diagnosa Penyakit Dalam dengan Metode Certainty Factor Berbasis Web Junaina Husna; Sanusi; Kasyfunnur
Jurnal Inotera Vol. 8 No. 1 (2023): January-June 2023
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol8.Iss1.2023.ID199

Abstract

Diseases are classified into different types based on the symptoms, causes, and disturbances they cause to the human body. Among the disease categories that have a wide range of sub-specialties and branches is internal medicine. Early disease detection is difficult because many diseases exhibit similar symptoms. To diagnose the disease, medical specialists will conduct a series of physical and laboratory tests. However, before going to the doctor, the patient should learn about the disease and begin treatment so that it does not worsen and become dangerous. As a result, we require a system that can assist patients in receiving information and detecting their disease early. An expert system was developed in this study to help people obtain complete and precise information about their disease. It is hoped that by using this system, people will be able to obtain preliminary information before visiting a doctor, thereby reducing the risk. An expert system is a type of artificial intelligence application that is a computer program designed on knowledge and rules that could act similarly to or as well as an expert. Expert systems must be able to function in the presence of uncertainty. A number of theories have been developed to deal with uncertainties, one of which is the certainty factor method, which is ideal for analyzing uncertain data. This technique provides a solution by calculating the values of certainty and uncertainty. This study concentrated on three types of internal medicine and 27 symptoms to be diagnosed; the end result was a diagnosis of the type of internal medicine encountered and the percentage of confidence, along with treatment recommendations.
Analysis of the Technology Acceptance Model for Paid E-Learning Applications during the Covid-19 Pandemic Muhammad Ardiansyah; Sanusi; Ilham Juliwardi; Mirna Ria Andini; Fachruddin; Muhammad Usman
Jurnal Inotera Vol. 8 No. 2 (2023): July - December 2023
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol8.Iss2.2023.ID269

Abstract

The aim of this research is to analyze student perceptions of the use of e-learning platforms in learning. The type of research used is descriptive quantitative. The sample in this research was 57 students from the information technology study program in 2020. The data collection technique in this research uses a questionnaire. The data analysis technique uses simple and multiple regression analysis with the help of the Statistical Product for Servicer Solution (SPSS) 21 program. Based on research results from the questionnaire on convenience variables and usefulness variables, then it can be seen that the research results show that the t count is greater than the t table value, the t table value is 2.060 and the t count value is 10.663 for the convenience variable and 7.478 for the usefulness variable. So t count > t table and each independent variable has a significant value < 0.05. As for the results of multiple linear regression analysis, it was also found that the independent variables simultaneously had a positive effect on the dependent variable and were assessed as significant <0.05. This indicates that there is a positive influence of the convenience factor and the usefulness of using e-learning by students in participating in learning during the Covid-19 pandemic.
Co-Authors Agustiar Agustiar Alfaizun Alfaizun Alimuddin Alimuddin Ana Elvia Jakfar Darwin Hendri Fachruddin Fachruddin Fachruddin Hafizd Arwaa Marden Harsyah Agustin Ilham Juliwardi Imam Ahmad Irvan Subandar Junaina Husna Juniana Husna Kana Saputra S Kasyfunnur Mahyuddin Mirna Ria Andini Mohamad Iqbal Suriansyah Muhammad Ardiansyah Muhammad Usman Nica Astrianda Nurul Helda Peni Sawitri Prastowo, Agung Tri Rivansyah Suhendra Rizka Dara Fonna Ryan Setiawan Uswatun Hasanah