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All Journal Jurnal Rekayasa dan Manajemen Sistem Industri Journal of Engineering and Management in Industrial System Wacana, Jurnal Sosial dan Humaniora Indonesian Journal of Disability Studies Jurnal Teknologi Pertanian Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal PAJAR (Pendidikan dan Pengajaran) Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Jurnal Informatika dan Rekayasa Elektronik Jurnal Ilmiah Edunomika (JIE) Academia Open JURNAL TEOLOGI GRACIA DEO Jurnal Ilmu Teologi dan Pendidikan Agama Kristen Jurnal Teologi (JUTEOLOG) Veritas Lux Mea (Jurnal Teologi dan Pendidikan Kristen) ALUCIO DEI Wisanggeni : Jurnal Pengabdian Masyarakat Joutica : Journal of Informatic Unisla Kertha Widya : Jurnal Hukum JURNAL SAINS DAN TEKNOLOGI MARITIM Edutainment : Jurnal Ilmu Pendidikan dan Kependidikan Jurnal Muara Olahraga JIPTEK EKKLESIA: Jurnal Teologi Dan Pendidikan Kristiani Journal of Educational Management Research Jurnal Peduli : Jurnal Pengabdian Kepada Masyarakat Cendikia: Jurnal Pendidikan dan Pengajaran Coastal and Marine Journal Jurnal Rekayasa Sistem Informasi dan Teknologi SOCIRCLE : Journal Of Social Community Services Jurnal Ekonomika dan Bisnis COUNT: Journal of Accounting, Business and Management SENMEA Prosiding Simposium Nasional Manajemen dan Bisnis Educational Researcher Journal JMMU: Jurnal Mahasiswa Manajemen dan Umum Journal of Health and Therapy Mumtaza: Journal of Community Engagement Al-Iqtisodiyah : Jurnal Ilmu Ekonomi dan Ekonomi Islam Jurnal Nasional Fisioterapi
Sugiono, Sugiono
Sekolah Tinggi Teologi Kanaan Nusantara Ungaran, Indonesia
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Journal : Indonesian Journal of Disability Studies

 1 
Intelligent Model to Predict the Subject of Study for Inclusion Student Based on Histories Background Sugiono
Indonesian Journal of Disability Studies Vol. 2 No. 1 (2015)
Publisher : The Center for Disability Studies and Services Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (446.792 KB)

Abstract

Inclusive education for young disabled people is a trends, issues and big challenges. Young disabled people have fewer chances to get a properly job as they are more likely to drop out after the first year and to have erratic and longer pathways within the University education. Hence, the aim of the project is to deliver an intelligent model for the university management to easy guide the candidates of disable students in selecting the best subject of their study. The project will be begun with literature reviews and then will be concentrated on the early survey (questionnaire) of the student histories. The information will be analyzed and classified to serve as references in determining of the academic factors. The next step is developing the database of background histories as input system and academic performance as output of the system. The back propagation Neural network (BPNN) will be trained to build the complex relationship between input and output system. Finally, the system will deliver a NN tool to select the best of subject of study based on grade performance and histories background.
Intelligent Model to Predict the Subject of Study for Inclusion Student Based on Histories Background Sugiono
Indonesian Journal of Disability Studies Vol. 2 No. 1 (2015)
Publisher : The Center for Disability Studies and Services Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (446.603 KB) | DOI: 10.21776/ub.ijds.2015.02.01.06

Abstract

Inclusive education for young disabled people is a trends, issues and big challenges. Young disabled people have fewer chances to get a properly job as they are more likely to drop out after the first year and to have erratic and longer pathways within the University education. Hence, the aim of the project is to deliver an intelligent model for the university management to easy guide the candidates of disable students in selecting the best subject of their study. The project will be begun with literature reviews and then will be concentrated on the early survey (questionnaire) of the student histories. The information will be analyzed and classified to serve as references in determining of the academic factors. The next step is developing the database of background histories as input system and academic performance as output of the system. The back propagation Neural network (BPNN) will be trained to build the complex relationship between input and output system. Finally, the system will deliver a NN tool to select the best of subject of study based on grade performance and histories background.
Improving the Accessible Facilities for Disability at Mini Market KPRI, Brawijaya University Sugiono; Lukodono, Rio Prasetyo; Azhari, Tanwirul
Indonesian Journal of Disability Studies Vol. 5 No. 1 (2018)
Publisher : The Center for Disability Studies and Services Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (593.513 KB) | DOI: 10.21776/ub.ijds.2018.5.1.10

Abstract

Regulation of the Minister of Public Works No. 30 of 2006 on Technical Guidance of Facility and Accessibility on Building and Environment, explains that arrangement of lay-out facility in building must support enough space and circulation for persons with disability and / elderly, including KPRI-UB. KPRI-UB is a shopping place that belongs to the public then it is required to follow the regulation. But in fact, it has not been able to provide adequate access, both from the aspect of facility layout and shelf size. The purpose of this study is to provide proposed layout and proposal size shopping shelves in accordance with the needs of difable consumer in KPRI-UB. The research design used is quantitative with descriptive approach. The result that can be used as a recommendation to design facility which is accessible for difable is change of layout design from shelf contained in KPRI, ramp design, and device used by difables to call help to the operator.
Co-Authors Abbas, Moh. Jailani Ade Rahmad Kurniawan Adi, Fajar Tyas Al Ghifar, M Habibul Ichwan Aldiana, Selly Amirudin, Rizki Angga Akbar Fanani, Angga Akbar Anggi Pratama Arafat, Bisma Ziyad Aranda, Irwan Bambang Dwi Argo Barokallah, Arrasyid Cahyadi, Muhamad Candraningtyas, Amelia Tri Christina Adelia Manullang Deki Obinaru, Rais Dewi Hardiningtyas Diana Safitri Dwi Kurniawati, Dwi Dwi Suharyanta Eka Pariyanti Eka Putri, Yosephine Angelina Yulia Eliviana Ayu Asih Evi Novitasari Fadli Alfarisi R Farhan Nofiyanto Fekrat, Izza Firmansyah, Muhammad Naufal Fatih Fithry Muthmainnah Forijati Fransius Kusmanto Ganda Wijaya, Ganda Gunawan, Risky Putri Gusti, Gagian Iqbal I Habibullah Henny Destiana Hermanda, Agnes Lovita Hery Purnomo Hikmatul Aliyah I Gusti Putu Diva Awatara I Nyoman Surata Indah Ariyati Indrawati Kinasih Istafada, Safa Saniya Istiyono Ketut Wetan Sastrawan Kharisda Mueleni Waruwu Khoiriyah, Miftakhul Kinasih, Indrawati Kurniawan, Rony Larassati, Alfiyyah Laurens Ijie, Dominggus Leonardo, Markus Lisa Dwi Wulandari Madai, Mesak Marjono Maula Bahari, Fahmi Dina Mendrofa, Eriyani Moh. Saiful Ghazi HR. Mohamad Harun Mudawamah Mudawamah Muhammad Sholeh Mutia Agustia Ningsih Nilam Nastiti Normala Dewi Ningsih, Agustin Setyo Noerdjanah Nofa, Nadhifia Tista Nur Hidayati Nur Indah Wahyuni Nurlaela, Eli Nurul Fithriati Haritsa Panji Deoranto Paramita, Rima Dana Paramitha , Dyah Ayu Perangin-angin, Robet Prasetyono, Untung Priyono Putra, Whendy Pramudya Putri, Rizka Chandra Nila Putri, Sabrina Diandra Qomariyatus Sholihah Rafly, Muhammad Reza Rahardian, Slamet Rahayu, Sofia Mei Putri Rahmanisa Rahmawati, Yenda Mei Remba Yanuar Efranto Rino Sardanto Rio Prasetyo Lukodono Ristanin, Ricky Saikhu Bima Ritonga, Sarlandi Rizky Himawan Sutanto Roby, Mochamad Rohmadhon, Moh. Arif Sakbania, Isnaini Sakinah, Balqis Raya Salsabila, Annisa Safitri Saputra, Muhammad Andre Arif Wahyu Saputra, Nadia Octavia Sari, Ratih Purnama Sari, Sylvie Indah Kartika SB, Sigit Wisnu Sefia Febriyanti Sekar Kama Dianingrum Sembiring, Rinawati SeptianaMS03 Sholihah, Anis Sindy Kusumawardani Soedjoko, Dodi Kusuma Hadi Sofian Sanjaya Sri Widodo Su, Welly Subchan Asy’ari Sudiro, Muhammad Fahkri Afif Sukiman, Anding Sukowati, Anton Sulusiyah, Sulusiyah Suprijono, Kezia Tirza Suryadithia, Rachmat Susi Damayanti, Susi Susilo Tri Widodo Susilo, Trisno Syaiful Bakhri Syatibi, M. Mudatsir Tanwirul Azhari, Tanwirul Tukasno Verry Riyanto Vidayati, Diah Fajar Vina Oktaria Wahyu Widodo Wardhani, Dinta Hanny Kusuma Waskito Aji Suryo Putro Widianto, Tri Widiyaningsih, Dwi Widyawati, Hera WITRIANA ENDAH PANGESTI Yeblo, Simson Yolla Zelika D YULIANI Zainuri, Ach. Zefry Darmawan Zubaidah, Tsabitah Putri