DESIGNING ICONS FOR SIGNALONG INDONESIA APPS AS AUGMENTATIVE AND ALTERNATIVE COMMUNICATION (AAC) FOR CHILDREN WITH SPECIAL NEEDS

Nama             : Tantra Sakre
NIDN : 0720038703
Perguruan Tinggi : Universitas PGRI Adi Buana Surabaya

Nama : Muchamad Irvan
NIDN : 0715039001
Perguruan Tinggi : Universitas PGRI Adi Buana Surabaya

Nama : M. Nurrohman Jauhari
NIDN : 0729118903
Perguruan Tinggi : Universitas PGRI Adi Buana Surabaya
POSTER SERTIFIKAT

CONCLUSION

Icons for Signalong Indonesia Apps designed and developed with Research and Develpment Cycle by Borg Er Gall (1983).
After passing the development stage the results was 324 icons designed.
Validation done by Prof Kieron Sheehy, Ph.D from Open University United Kingdom
and Dr. Budiyanto, M.Pd from State University of Surabaya Indonesia. These icons will be used for visual support material in Signalong Indonesia Apps.

“RUANG” BISNIS & INDUSTRI PERLINDUNGAN TENAGA KERJA
MIGRAN: DISINTEGRITAS PERAN KELEMBAGAAN

 

PROSIDING SEMINAR NASIONAL HASIL RISET DAN PENGABDIAN || Inovasi, Teknologi dan Pendidikan Guna Mewujudkan Indonesia Sejahtera Di Era Industrialisasi 4.0
25 July 2017 || ISBN: 978-602-5793-40-0
Penerbit      : Adi Buana University Press
Penulis 1     : Anita Kristina
Penulis 2     : Muhammad Abdul Jumali
PDF VERSI CETAK/ASLI

ABSTRAK

Artikel ini menganalisis dampak disintegritas peran kelembagaan pada perlindungan Tenaga Kerja Indonesia. Pendekatan kualitatif sebagai metode analisis penelitian. Data dikumpulkan melalui interview dengan informan aktor yang terlibat langsung pada perlindungan TKI. Analisis mengungkapkan bentuk spesifik kebutuhan adanya pergeseran makna perlidungan, karena disintegritas peran kelembagaan yang terjadi memainkan peran terbentuknya “ruang” bisnis dan industri dalam perlindungan TKI.

Kata kunci: Perubahan Kelembagaan, Perlindungan Tenaga Kerja, Bisnis dan Industri

ABSTRACT

The article analyses the impact of disintegration of institutional roles on the protection of Indonesian Workers (TKI). Qualitative approach as a method of research analysis. Data was collected through interviews with informant actors who were directly involved in the protection of migrant workers. The analysis reveals the specific form of incremental transformative change, namely a shift the meaning of protection, because the disintegration of the institutional role that occurs plays a role in the formation of business and industry “space” in the protection of migrant workers

Keyword: Institutional Change, Protection of Indonesian Migrant Workers, Business and Industrial

KLASIFIKASI KUALITAS MADU LEBAH MENGGUNAKAN SISTEM SPEKTROFOTOMETER DAN MACHINE LEARNING BERBASIS SINGLE BOARD COMPUTER

PROSIDING B SNAST 2018 || SEMINAR NASIONAL APLIKASI SAINS & TEKNOLOGI
15 September 2018 || ISSN: 1979-911X || e-ISSN: 2541-528X
Penerbit : INSTITUT SAINS & TEKNOLOGI AKPRIND YOGYAKARTA
Penulis 1: Sagita Rochman
Penulis 2: M Nushron Ali Mukhtar
PDF VERSI CETAK/ASLI

ABSTRACT
Honey is a natural sweet substance produced by bees with nectar flower ingredients containing various
nutrients such as carbohydrates, proteins, amino acids, vitamins, minerals, plant pigments and aromatic
components. Honey consists of water (17%), fructose (38.2%), glucose (31.3%), other disaccharides (5%),
melezitose (<0.1%), erlose (0.8%) , other oligasakarida (3.6%), minerals (0.2%), amino acids (0.3%). It also
contains anti-microbial substances, which can prevent some disease on human. Because it has a high economic value and contains unique substances, honey is often falsified. Honey can be faked in various ways by mixing natural artificial sweetener components or by giving the sugar (sucrose) into the honey, so it is dangerous if given to infants or people suffering from diabetes mellitus. The design of this research used spectrofotometer methode and pattern recognition algorithm (machine learning) system for classifying honey quality. It is based on honey having a chromophore group responsible for absorbance, electronic transition and color giver. We can also knowing the type of honey by using pattern recognition algorithm support vector machine.In this research is used three types of honey to using a spectrophotometer at a wavelength of 500 nm, the absorbance obtained in randu honey type of 0.523-0.654, coffee honey for 0.735-0.824, and rubber honey by 0.947-1.043.
Keywords: Honey Quality, Machine Learning, Single Board Computer, Spectrophotometer.

INTISARI
Madu adalah zat manis alami yang dihasilkan lebah dengan bahan baku nektar bunga yang
mengandung aneka zat gizi seperti karbohidrat, protein, asam amino, vitamin, mineral, pigmen tumbuhan dan
komponen aromatik. Secara Kimiawi madu terdiri dari air (17%), fruktosa (38,2%), glukosa (31,3%), disakarida
lainnya (5%), melezitose (<0,1%), erlose (0,8%), oligasakarida lainnya (3,6%), mineral (0,2%), asam amino
(0,3%). Madu mengandung zat anti mikrobial, yang dapat menghambat penyakit. Karena mempunyai nilai
ekonomis yang cukup tinggi serta mengandung zat-zat yang unik, maka sering terjadi pemalsuan madu. Madu dapat dipalsukan dengan berbagai cara yaitu dengan mencampur komponen-komponen pemanis buatan alami atau dengan memberikan gula pasir (sukrosa) ke dalam madu, sehingga berbahaya bila diberikan pada bayi atau orang yang menderita penyakit diabetes Mellitus. Dalam penelitian ini dilakukan perancangan sistem untuk pengklasifikasian kualitas madu dengan sistem spektofotometer dan algoritma pengenalan pola (machine learning). Hal ini didasarkan pada adanya kandungan gugus kromofor yang menghasilkan absorbansi transisi elektronik dan pemberi warna pada madu. Kualitas jenis madu juga dapat diketahui dengan menggunakan sistem algoritma pengenalan pola support vector machine. Dalam pengujian tiga jenis madu dengan menggunakan spektrofotometer pada panjang gelombang 500 nm, absorbansi yang didapatkan pada jenis madu randu sebesar 0.523-0.654, madu kopi sebesar 0.735-0.824, dan madu karet sebesar 0.947-1.043.
Kata Kunci: Kualitas Madu, Machine Learning, Single Board Computer, Spektrofotometer.

DEVELOPMENT OF SCIENTIFIC LEARNING DEVICES TO IMPROVE SKILLS OF SCIENCE PROCESS

ICETA 9|| 9th International Conference on Educational Technology of Adi Buana Surabaya
26 Agustus 2017 || ISBN: 978-979-8559-97-6
Penerbit : Universitas PGRI Adi Buana Surabaya
Penulis 1: RR. Laili Rizkiyah
Penulis 2: Sugito
Penulis 3: Harwanto
PDF VERSI CETAK/ASLI

ABSTRACT

This research consists of two purposes: general purpose and special purpose. The common goal is to develop a Cooperative Learning based learning tool that can be used to improve the science process skills of junior high school students. While the specific objectives are: a) Describe the validity of learning tools based on Cooperative Learning developed in terms of content aspects, formats, and language. B) Describe the practicality of learning tools based on Cooperative Learning developed in terms of aspects of the implementation of RPP and c). Describe the effectiveness of learning tools based on Cooperative Learning developed in terms of some aspects of science process skills and student responses. Development is done using 4D model consisting of three stages of the process that is define, design, and develop. This type of research is one group pre test post test. Data collection is done through validation, observation, test and questionnaire.
The analysis was conducted using qualitative and quantitative descriptive. From the research result data obtained that: validity of RPP 3.50 valid category with match equal to 98,97%, validation of student textbook 3,66 very valid and percentage of match 95,89%; Validity of student activity sheet 3,73 and 96,39% match; Validity of knowledge aspect test 3,78 and 95,0% match, validity test of skill aspect of science process 3,65 and match rate 91,43%. From the result of data analysis, the learning completeness level is high and able to surpass the KKM that has been established by the school that is equal to 85,16 for knowledge and 86,94 for pregnancy of science process. So it can be concluded that the learning device IPA subject matter sense and optical tools using cooperative learning model has a level of quality and good effectiveness to improve students’ science process skills.

Keywords: Learning Device Development, Cooperative Learning Model, Skill of Science Process.

1 2 3 4 5 63