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Journal : Paradigma

APLIKASI VISUALISASI MATERI PEMBELAJARAN KIMIA DAN BIOLOGI BERBASIS WEB Octasia, Anita; Riana, Dwiza
Paradigma - Jurnal Komputer dan Informatika Vol 11, No 3 (2009): Periode September 2009
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1899.758 KB) | DOI: 10.31294/p.v11i3.4738

Abstract

Limitations and difficulties of teachers in delivering materials to make software in educational environments haveincreased, especially at the senior high school level. That's what makes the writer develops software learning thataims to assist teachers in presenting materials. The materials can help students more easily understand the lessonsin school, especially for a chemistry and biology subjects in senior high school. Research methods used in thewriting of this research is the analysis of the program. First, the authors analyze the previous program, learn thereference related to the study. They collect the data from books, literature and also from internet browsing. Next,they improve the program by creating new program and proposed in web base aplication. Visualisation andpresenting the developed applications uses software such as Adobe Flash CS3 and Macromedia Dreamweaver 8 sothat they can create visualized applications of learning materials for biology and chemistry at the high schoollevel. The proposed program is expected to help the teachers in solving the problem of delivering materials.KeywordsBiologi, Berbasis Web,Kimia, Materi Pembelajaran
SISTEM PAKAR PENGOBATAN HERBAL KANKER REPRODUKSI WANITA DENGAN CERTAINTY FACTOR Putri, Sukmawati Anggraeni; Riana, Dwiza
Paradigma - Jurnal Komputer dan Informatika Vol 15, No 2 (2013): Periode September 2013
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (656.01 KB) | DOI: 10.31294/p.v15i2.6339

Abstract

The women are quite susceptible to attack cancer, especially vital organs such as the breastand reproductive organs such as the uterus, ovaries and vagina. Have a lot of people doingalternative medicine, one of them with herbal medicine therapies. The Expert System applicationsproduce the output of the possibility of cancer suffered by women of reproductive symptomsexperienced by patients with herbal medicine. By using Certainty Factor method, this systemproduces of trust values to the possibility that the female reproductive cancers suffered by thepatient and herbal remedies based on the symptoms experienced by the patient. So that patientscan predict the possibility cancer symptoms.Keywords: Women's Reproductive Cancer, Herbal Medicine, Expert Systems, and CertaintyFactor method.
Klasifikasi Jenis Buah Apel Menggunakan Metode Orde 1 dengan Algoritma Multi Support-Vector Machines Safitri, Rizky Ade; Nurdiani, Siti; Riana, Dwiza; Hadianti, Sri
Paradigma - Jurnal Komputer dan Informatika Vol 21, No 2 (2019): Periode September 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.202 KB) | DOI: 10.31294/p.v21i2.6526

Abstract

Apel merupakan jenis buah-buahan dimana memiliki beragam jenis warna pada kulitnya tersendiri, ada yang berwarna merah, hijau maupun warna kuning. Buah apel juga memiliki banyak jenis dan mudah ditemukan dalam negeri maupun di luar negeri. Setiap jenis buah apel memiliki ciri yang berbeda sehingga akan diperoleh pendapat yang berbeda oleh setiap individu yang menyebabkan tingkat akurasi yang berbeda. Teknologi klasifikasi saat ini dapat digunakan untuk membantu proses pemilahan tersebut. Penelitian ini menggunakan metode orde 1 dengan algoritma multi SVM yang bertujuan untuk pengenalan pola buah apel menggunakan analisis tekstur pada citra grayscale dan ekstraksi fitur warna pada citra warna. Hasil ekstrasi fitur akan menjadi input bagi multi SVM untuk mengklasifikasikan jenis apel. Data yang digunakan pada penelitian ini adalah dari 50 citra, yang terdiri dari 35 citra data latih  dan 15 data uji. Hasil akurasi metode ini mencapai tingkat akurasi hanya sebesar 86%.