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All Journal MEDIA ELEKTRIKA Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Rotasi J@TI (TEKNIK INDUSTRI) JURNAL SISTEM INFORMASI BISNIS JURNAL TEKNIK MESIN Elkom: Jurnal Elektronika dan Komputer Rekayasa Mesin Indonesian Journal of Electrical Engineering and Computer Science Journal of Biomedical Science and Bioengineering Prosiding Simposium Nasional Rekayasa Aplikasi Perancangan dan Industri
Toni Prahasto
Departemen Teknik Mesin, Fakultas Teknik, Universitas Diponegoro, Jl. Prof. Soedarto, SH, Tembalang, Semarang, Jawa Tengah, 50275
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : JURNAL SISTEM INFORMASI BISNIS

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Data Clustering Menggunakan Metodologi CRISP-DM Untuk Pengenalan Pola Proporsi Pelaksanaan Tridharma Budiman, Irwan; Prahasto, Toni; Christyono, Yuli
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 3 (2011): Volume 1 Nomor 3 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.898 KB) | DOI: 10.21456/vol1iss3pp129-134

Abstract

Quality of human resources faculty can be reflected from the implementation of productivity and quality Tridharma (education, research, community service  and  supporting  field  activities).  Lecturer  Workload  and Evaluation of  Higher Education  Tridharma  (BKD  and theEPT-PT)  aims  to  ensure  the  implementation  of  the  faculty  task  runs  according  to  the  criteria  set  out  in  legislation.  Data  clusteringTridharma  implementation is needed to  get  some  knowledge  of the  pattern of Tridharma  implementation  at  college.  Clustering  as a  data mining  technique  should be  scalable, reliable  and  meet  an  agreed  standard.  CRISP-DM is the standardization of  data mining  is  used  in this study. The results of data clustering found the pattern of proportion of Tridharma  into 3 clusters representing patterns: professionals, managers and teachers.Keywords : Clustering, CRISP-DM, K-Means, Tridharma
Penerapan Principal Component Analysis untuk Mereduksi Dimensi Data Penerapan Teknologi Informasi dan Komunikasi untuk Pendidikan di Sekolah Wulandari, Diah; Prahasto, Toni; Gunawan, Vincencius
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (814.109 KB) | DOI: 10.21456/vol6iss2pp91-96

Abstract

This study aimed to analyze the most influential variable in the implementation of ICT in schools. Principal component analysis  using linear algebra to reduce the dimension of data with variables that are interconnected into a new set of data with variables that are not related to each other, called the principal component. Principal component is used to save and calculate how much correlation within varian. The ICT data is collected from 50 schools, this data is grouped into five group based on reference domain of ICT for education indicator by UIS 2009. Dataset per group is used as input for principal component analysis algorithm with Matlab R2014a and produce principal component. Principal component analysis produce five variable with the most influence based on their domain, there are mean hour for individual using of ICT in curicculum domain, existence school in internet in infrastructure domain, learner proportion in using computer laboratory for learning in teacher development domain, learner propostion that computer basic skill course in participation domain.
Metode Forward Chaining Untuk Penentuan Kelayakan Bisnis Usaha Mikro Kurniadi, Dedy; Prahasto, Toni; Widiyanto, Ibnu
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1026.44 KB) | DOI: 10.21456/vol6iss1pp66-75

Abstract

In this present study has done business feasibility of the micro industrial sector based on the importance of Business Feasibility Study (BFS) on business organization that requires an assessment of the business feasibility process as a benchmark for investors or business owners and also to minimize the business risks that may occur at a later date to be addressed appropriately. This study aims to create a Business Feasibility Information System (BFIS) using a forward chaining. Forward chaining method has a high success rate when applied in various fields. Forward chaining developed for excellent performance in solving various problems. The process of doing a forward chaining requires input variables. The input process covers legal aspects human resources and management environmental aspects marketing aspects aspects of production and financial aspects. Six variables are processed in the database that was later acquired data using inference machine to form a pattern of reasoning that is assembled using forward chaining algorithm. Further reasoning patterns are registered into a database rule to get the address data. Results from this study is a Decision Support System (DSS), which can give a decision on the feasibility assessment and business micro-enterprises in the industrial sector. This device can be developed to help entrepreneurs and investors in the micro industrial sector to assess their business activities
Co-Authors - Suhartono Achmad Widodo Ade Muhamad Bukhori Adian Fatchur Rochim Agatha Beny Himawan, Agatha Beny Akhmad Qashlim, Akhmad Albert Ishac Einstein Simanjuntak Alfin Angga Andy Rahmawan Ardynugraha, Ivan Dwi Hascaryo Arif Harjanto Aris Sugiharto Bagus Sajiwo, Bagus Benny Ardhi Subarkah Bryan Setyawan Cleves Ibrahim Akbar Darmawan, Mikhael Dixon David Titian Wiranata Dedy Kurniadi Dema Wikatama Diah Wulandari Didit Suprihanto, Didit Dio Akmal Prayoga Djoeli Satrijo Djoeli Satrijo Djoeli Satrijo dwi pudyastuti, dwi Dwiyanto, Andreas Dzaky Nauvalika Ramadhani Edward Rissan Girsang Endhy Priambodo Ermanu Hanindityo Fajar Nur Hidayat Falah, Bahtiar Felix Wahyu Utomo Fitra Nur Huda Haryadi , Gunawan Dwi Hasyid Ahmad Wicaksono Hendrianto Hendrianto, Hendrianto I Nyoman Chandra Kusuma, I Nyoman Chandra Ibnu Agistia Dzaky Ibnu Widiyanto Irwan Budiman Irwan Budiman Ismoyo Haryanto Ismoyo Haryanto Ivan Dwi Hascaryo Ardynugraha Joga Dharma Setiawan Jonathan Banta Putera Ketaren Juwanda, Farikhin M. Averoes Al-ghazales Makhfudz Ali Mansur Mansur Maria Agustin Mohammad Tauviqirrahman Mohammad Tauviqirrahman Muchammad Akbar Ghozali Muhammad Cordiaz, Muhammad Muhammad Yanuar Rifa Muhammad Zainal Mahfud Munadi Munadi Munadi Munadi Negara, Farrel Theodore Kusuma Neil Zefanya Yohanes Noorasheed, Willy Ojo Kurdi Ojo Kurdi Paryanto Pratama Eka Putra Sijabat Priyo Nugroho Adi Pusaka, Semerdanta Rachmat Gernowo Radhi Maladzi Randy Oktrima Putra Rifka Hana Indraswari Rifky Ismail Rinta Kridalukmana Riza Armansyah Rusnaldy Rusnaldy Setiawan, Falih Stephen Owen Hizkia Susana Ayu Handayani Susilo Adi Widyanto Teguh Indra Firmansyah Tri Suratno Trismianto Asmo Sutrisno Trismianto Asmo Sutrisno Sutrisno Vincencius Gunawan, Vincencius Widodo , Achmad Yoga Prasetya Yosua Wijaya Yuli Christyono