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Finding Knowledge from Indonesian Traditional Medicine using Semantic Web Rule Language Ridowati Gunawan; Khabib Mustofa
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 6: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.468 KB) | DOI: 10.11591/ijece.v7i6.pp3674-3682

Abstract

One of the natural resources in Indonesia is a lot of plants which can be used in healing diseases. Thosekinds of plants can be used in “Jamu”. Jamu is a name given to traditional medicine in Indonesia. Usually Jamu is composed from several plants as ingredients. Particularly, some parts of the plant like the leaves, roots, or branches have different purpose in Jamu. Nowadays the knowledge about Jamu can be known by building Ontology. Ontology can be built and developed to enrich the content. Knowledge in Ontology is built by several rules using Semantic Web Rule Language (SWRL).Knowledge gained from SWRL is easily searchable so that users can double check the results obtained.
Penerapan Slowly Changing Dimensions untuk Mendukung Pembentukan Dimensi Dinamis pada Data Warehouse (Studi Kasus: Dinas Kependudukan dan Pencatatan Sipil Kabupaten XYZ) Gadis Pujiningtyas Rahayu; Ridowati Gunawan
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2013
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Dalam pengelolaan data, utamanya bagi Pemerintah Daerah yang memiliki data penduduk dengan volume besar dan tersebar ke dalam database terpisah, dewasa ini telah ada teknologi data warehouse. Data penduduk yang tersimpan dapat mengalami perubahan, hal ini merefleksikan aspek dinamis dari data warehouse sehingga memerlukan updating beberapa dimensi . Tabel dimensi memiliki peran yang sangat penting dalam setiap Data Warehouse. Peran utama tabel dimensi adalah untuk mendukung catatan tabel fakta dengan deskripsi dan informasi lain tentang entitas yang terlibat pada catatan ini. Untuk mendukung pembentukan dimensi yang dinamis dalam sebuah data warehouse diimplementasikan sebuah kriteria dimensional yaitu Slowly Changing Dimensions (SCD) sehingga setiap perubahan data dapat terpelihara dengan baik.Dalam pengelolaan data, utamanya bagi Pemerintah Daerah yang memiliki data penduduk dengan volume besar dan tersebar ke dalam database terpisah, dewasa ini telah ada teknologi data warehouse. Data penduduk yang tersimpan dapat mengalami perubahan, hal ini merefleksikan aspek dinamis dari data warehouse sehingga memerlukan updating beberapa dimensi . Tabel dimensi memiliki peran yang sangat penting dalam setiap Data Warehouse. Peran utama tabel dimensi adalah untuk mendukung catatan tabel fakta dengan deskripsi dan informasi lain tentang entitas yang terlibat pada catatan ini. Untuk mendukung pembentukan dimensi yang dinamis dalam sebuah data warehouse diimplementasikan sebuah kriteria dimensional yaitu Slowly Changing Dimensions (SCD) sehingga setiap perubahan data dapat terpelihara dengan baik.
PELATIHAN MEDIA BELAJAR BERBASIS ONLINE DI ERA PANDEMI Kartono Pinaryanto; Anastasia Rita Widiarti; Haris Sriwindono; Ridowati Gunawan; Hari Suparwito; Sri Hartati Wijono; Rosalia Arum Kumalasanti; Wiwien Widyastuti
ABDIMAS ALTRUIS: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 1 (2022): April 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/aa.v5i1.3916

Abstract

The education sector is one of the areas that has been most affected by the COVID-19 pandemic. Schools, which normally hold offline meetings, must now take place online. With this pandemic, the teaching process must be "forced" to be done online. The task model which is usually given in physical mode (questions on paper, done and collected) is no longer relevant to be done because of the limitations of physical meetings. On the other hand, students need an explanation from the teacher directly because they are used to the context of offline learning. Judging from the current level of smartphone ownership, whether owned by students themselves or their parents, we can use smartphone devices to help the teaching and learning process. But of course it requires technological literacy from the student side and the teacher side so that this teaching and learning process can be carried out properly. As a form of concern for the academic community of the Informatics Study Program at Sanata Dharma University to the problems that exist in the environment around the campus, we held training activities for making teaching media for State Elementary School of Timbulharjo teachers who ultimately played an important role in improving teachers' technological literacy in carrying out online learning. This activity had been carried out well offline in 2 stages, namely stage 1 on 9 and 10 June 2021 and stage 2 on 22 and 23 November 2021.
Pencarian Aturan Asosiasi Semantic Web Untuk Obat Tradisional Indonesia Ridowati Gunawan; Khabib Mustofa
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 3: Agustus 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1201.113 KB)

Abstract

Indonesia has more than 2000 types of plants that can be used for medicine. Indonesian traditional medicine called jamu utilizes various of medicinal plants. Since each medicinal plant has different efficacy, jamu also has different efficacy. Jamu can be used to cure certain type of diseases. Jamu that has same efficacy can be produced by many different companies and has different composition. In order to bring benefit for the consumer, knowledge about efficacy of medicinal plants, efficacy of jamu, and composition of jamu is needed. One way to gain knowledge about jamu, along with the entire composition, is to utilize association rule mining technique. If in general the technique only utilizes a single database, in this paper the data source is obtained from semantic web. The data in semantic web is stored in the form of RDF or OWL according to ontology jamu. Data in the form of RDF/OWL is converted into transaction data using library rrdf of R, and its results will be processed using Apriori, which is one of the algorithms in association rule. Results of Apriori algorithm produce association rules on the composition of the jamu along with the value of the support, confidence, and lift ratio. These results indicate the value of lift ratio > 1 which means medicinal plants depend on each other.