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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Industrial Engineering & Management Research (JIEMAR)

Henny Destiana, Henny

Unknown Affiliation

Author-ID : 642862

Humanities Computer Science & IT Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering

Published : 6 Documents Claim Missing Document

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Articles

PENGARUH MEDIA SOSIAL YOUTUBE TERHADAP PERKEMBANGAN DAKWAH ISLAM DENGAN METODE STRUCTURAL EQUATION MODELING (SEM) Ramadhan, Randy; Destiana, Henny
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 3 No 1 (2018): SinkrOn Volume 3 Nomor 1, Periode Oktober 2018
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1330.115 KB)

Sudah menjadi rahasia umum kebutuhan akan ilmu agama, informasi, dan teknologi sangatlah tinggi. Selain itu kecepatan, keakuratan, serta efisiensi yang ditawarkan oleh perkembangan teknologi informasi tidaklah dapat dipisahkan dari kehidupan masyarakat terutama yang tinggal di perkotaan. Selama ini tidak sedikit dari masyarakat yang justru mengenal serta belajar agama islam melalui internet atau media sosial terutama youtube dibandingkan dengan datang langsung ke tempat diadakannya Kajian Islam. Dalam hal ini dilakukan penelitian untuk mengetahui besarnya pengaruh media sosial youtube dalam memperkenalkan dakwah Islam, serta sebagai sarana komunikasi antara pendakwah dengan jamaâ€™ah maka Penelitian ini menggunakan metode Structural Equation Modeling (SEM). Dari hasil penelitian maka diperoleh hasilnya yaitu Youtube memberikan pengaruh yang signifikan terhadap perkembangan Dakwah Islam yang didapat dari indikator-indikator variabel media sosial menunjukan nilai Critical Ratio yang jauh diatas nilai kritis.

The Use of Apriori Algorithm in the Formation of Association Rule at Lotteria Cibubur Liansyah, Ovi; Destiana, Henny
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020
Publisher : Politeknik Ganesha Medan

Lotteria as one of the franchises that produce sales data every day, has not been able to maximize the utilization of that data. The sale data storage is still not optimal. By utilizing sales transaction data that have been stored in the database, the management can find out the menus purchased simultaneously, using the association rule. Namely, data mining techniques to find the association rules of a combination of items. The process of searching for associations uses the help of apriori algorithms to produce patterns of the combination of items and rules as important knowledge and information from sales transaction data. By using the minimum support parameters, the minimum and the month period of the sales transaction to find the association rules, the data mining application generates association rules between items in April 2019, where consumers who buy hot / ice coffee will then buy float together with support of 16% and 100% confidence. Knowing which menu products or items are the most sold, thus lotteria Cibubur can develop a sales strategy to sell other types of menu products by examining the advantages of the most sold menu with other menus and can increase the stock of menu ingredients.

The Selection of Best Employee by using Analytical Hierarchy Process Method in Go Wet Water Park Supriyanti, Supriyanti; Destiana, Henny
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

In a company, human resource is something that must really be considered, the company must have good quality of human resources and be able to work well so that the company's sustainability can be maintained. To maintain the quality and existence of its employees, the company needs to give appreciation to its employees so that employees are motivated to work better. Employees are not motivated to work better because there is no model employee selection yet. Selecting and determining model employees requires a method or decision support system to support the selection of model employees. There are many methods that can be used to select model employees, one of which is the Analytical Hierarchy Process method. To support the selection of model employees, software that can make it easier to determine model employees is needed. The software used is Expert Choice 2000 software. The results obtained from research on the selection of model employees using the Analytical Hierarchy Process method in Go Wet Water Park are employees named Nugraha successfully selected as a model employee in the company with an overall inconsistency of 0.1.

Interactive Animation Design of Hijaiyah Letters in Early Age Children at Al-Hidayah Kindergarten Bekasi Dharmawati, Rika; Destiana, Henny
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 3 No 2 (2019): SinkrOn Volume 3 Number 2, April 2019
Publisher : Politeknik Ganesha Medan

Education about religious sciences, especially hijaiyah letters is very important as a provision to be understood by humans as the basis of their lives to face life in the future. The difficulties experienced are quite reasonable, because the Al-Qur'an uses Arabic. Learning with the Koran system is usually done in a relatively long time even sometimes for years. This is not effective and efficient in teaching and learning activities. So with the presence of a new learning media to utilize computer technology, it is expected to be developed into an interesting learning for kindergarten children. Therefore, the authors make interactive animated hijiayah letter recognition so that with interactive application of the introduction to hijaiyah letters for early childhood at Al-Hidayah Kindergarten Bekasi is very helpful in teaching and learning process to be more fun and effective so students are no longer bored in learning and attracted the interest of students to a better understand on how to read good and correct hijaiyah letters. As well as helping teachers to innovate in learning process because with this interactive animation application the instructors become easier to deliver material about the prayer movements to students.

Decision Support System For Determining Exemplary Students Using SAW Method Sudradjat, Adjat; Destiana, Henny; Sefenizka, Aprilah Amira
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i1.10643

In order to motivate students to continue to excel, MTs Al Falah undertakes activities to develop students' potential through determining exemplary students. However, the decision to determine exemplary students is not based on academic and non-academic abilities, but on the subjectivity of the principal and teachers. So that many complain about the decision of the selection of exemplary students who are not well targeted or deserve to be exemplary students. There is no information system that supports the determination of exemplary students on MTs Al Falah, It is less precise in determining the exemplary students on MTs Al Falah, decision support systems in Determination of the Exemplary Students using the Simple Additive Weighting (SAW) method is based on 5 criteria, namely the value of knowledge, the value of skills, class rank, extracurricular activity, extracurricular values. The results obtained will be in the form of exemplary student rankings. Then the student who gets the highest score in five categories with a percentage of 0.97 is Afifah Angelia Azhariyanti. The Simple Additive Weight method can help the school especially in determining a number of issues regarding education, one of which is to determine exemplary students. Because this method is a weighted method of rating the performance of each alternative.

ADOPSI PENGGUNAAN APLIKASI MOBILE FOOD ORDERING DENGAN PENDEKATAN MODEL UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY 2 Widanengsih, Euis; Kurniadi, Win; Destiana, Henny
Journal of Industrial Engineering & Management Research Vol. 3 No. 1 (2022): February 2022
Publisher : AGUSPATI Research Institute

The COVID-19 pandemic has changed the social order of human life, public health, and also business operations. With the number of social restrictions that have occurred, changing the pattern of food shopping in the community, the home-based food business has become the consumer's main choice in buying healthy food in the midst of the COVID-19 Pandemic. Consumers tend to prefer ordering healthy food and ordering food online by utilizing Mobile Food Ordering Applications. The purpose of this study was to measure the behavior of users of the Mobile Food Ordering application using the UTAUT 2 model, the UTAUT model which has been developed with the addition of independent variables. The data used in this study is primary data. Primary data is data obtained directly in the field. The data collection technique in this research is a survey. The sampling method used the purposive sampling method with the criteria for users of the Mobile Food Ordering application, namely GoFood, GrabFood and ShoppeFood in the last month. A survey of 100 respondents was conducted during November 2021. The collected data was processed using the SEM method with the Partial Least Square (PLS) approach with SmartPLS 3.0 software. The results of this study indicate that Performance Expectancy (PE) has no significant effect on Behavioral Intentions (BI). Effort Expectance (EE) or business expectations of application use have a significant effect on Behavioral Intentions (BI). Social Influence (SI) or social influence has no significant effect on Behavioral Intentions (BI). Facilitating Condition (FC) is not significant to Behavioral Intentions (BI) and Use Behavior (UB). Hedonic Motivation (HM) is not significant to Behavioral Intentions (BI), Price Value (PV) or Cost Suitability is not significant to Behavioral Intentions (BI), Habit (HT) or consumer habits significantly affect Behavioral Intentions (BI) and Use Behavioral (UB) ), Behavioral Intentions (BI) have a significant effect on Behavioral Use (UB).

Co-Authors Adjat Sudradjat Dharmawati, Rika Euis Widanengsih, Euis Kurniadi, Win Liansyah, Ovi Randy Ramadhan Sefenizka, Aprilah Amira Supriyanti Supriyanti Wahyuddi, Tri

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