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The strategies of blended learning in new normal era at Kuala Lumpur Indonesian School Hanik, Elya Umi; Afriyanti, Iis; Ruchyyah, Sayida; Afiyah, Uli Nur; Robi'attuladawiyah, Wardah Ayu
MUDARRISA: Jurnal Kajian Pendidikan Islam Vol 13, No 1 (2021)
Publisher : Prodi PGMI IAIN Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/mdr.v13i1.35-54

Abstract

During the COVID-19 pandemic, teachers are now very much required to choose appropriate and correct learning strategies so that the process can be maximum. Kuala Lumpur Indonesian School (SIKL) applies Blended Learning strategies for the new normal era. This study aims to discuss learning strategies, implementation of learning strategies, analysis of learning strategies in the Kuala Lumpur Indonesian School (SIKL) based on Blended Learning with the TPACK (Technological, Pedagogical, Content knowledge) approach in the new normal era. This research uses descriptive qualitative research and content analysis techniques. The collection techniques used are the opinion (interview), analysis, and documentation. The data analysis technique is carried out using the data collection stages, data analysis, and conclusions. The results of study 1) The education strategy at Kuala Lumpur Indonesian Schools is written on the syllabus and lesson plans (lesson planning design) made by the Kuala Lumpur Indonesian School teacher unit (SIKL). 2) Implementing the Blended learning strategy of the Kuala Lumpur Indonesian School (SIKL) in the New Normal era in one class is divided into 2, namely: the first is implemented at home through web / online-based technology. The second is learning processes are carried out face-to-face.
Pelatihan Pelaporan Online Menggunakan Aplikasi JAKI pada Karang Taruna RW. 07 Jagakarsa Jakarta Selatan Purnamasari, Indah; Suwarisman, Achmad; Rachmat, Budi Kurniawan; Afriyanti, Iis
PASAI : Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 2 (2022): December
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh(YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/pasai.v1i2.53

Abstract

Karang Taruna is a community organization that is useful as a forum and means of development for every young generation that grows and develops on the basis of awareness and social responsibility from, by and for the community, especially the younger generation in village/kelurahan areas, for example Karang Taruna RW 07 Jagakarsa, South Jakarta. There are lots of young people in RW 07 Jagakarsa who still don't know what the JAKI application is and how to use it because they don't understand the functions or benefits of the jaki application. The JAKI application has several functions, one of which is online reporting which can be used by the public to follow up on existing problems in the environment down to the relevant agency level. There are so many problems in the RW 07 environment that cannot be followed up on by the relevant agencies due to limited knowledge of the JAKI application, this has attracted the interest of RW 07 youth groups to take part in online reporting training using the JAKI application which aims to increase the ability and knowledge of RW 07 young people so that can be more active in the community and can help problems that exist in their environment. This training also provides a questionnaire that is useful for getting responses to the implementation of community service activities with a total of 12 respondents and there are 12 questions in the questionnaire that must be assessed by respondents. The results of the community service that has been carried out regarding online reporting training using the JAKI application at Karang Taruna RW 07 Jagakarsa, South Jakarta, the youth of RW 07 Jagakarsa have understood the benefits of the JAKI application and how to report it so that they become more active when there are problems in their environment to be able to help the community.
Implementasi Data Mining Association Rules Menggunakan Algoritma Fp-Growth untuk Data Penjualan Keramik Isra Almahsa, Muhammad; Nazir, Alwis; Afriyanti, Iis; Budianita, Elvia
Jurnal Informatika Universitas Pamulang Vol 8 No 3 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v8i3.34442

Abstract

The ceramic company CV Sukses Bersama is facing challenges in determining the optimal product layout and promotion strategy. To address this issue, this research applies the Data Mining Association Rules method using the FP-Growth algorithm. With the Python programming language, the author conducts an analysis of the company's sales data to identify significant purchasing patterns. The analysis results reveal that the product 'MCC' enjoys an exceptionally high level of popularity, with a support rate reaching 94.86%. This indicates that 'MCC' is the primary favorite among CV Sukses Bersama's customers. The analysis also unveils several significant Association Rules, such as {'MCC'} -> {'HRM'} with a confidence level of 86.99%. This implies that customers who purchase 'MCC' tend to buy 'HRM' with a high level of certainty. These findings hold strategic importance for CV Sukses Bersama, offering valuable insights that can be utilized to design more effective marketing strategies by understanding customer preferences and optimizing product stock management.