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All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmiah Informatika Komputer Techno.Com: Jurnal Teknologi Informasi Jurnal Penelitian Pendidikan Jurnal Sistem dan Informatika Scientific Journal of Informatics CESS (Journal of Computer Engineering, System and Science) ILKOM Jurnal Ilmiah Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Senopati : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Simpatik: Jurnal sistem Informasi dan Informatika Unnes Journal of Mathematics Jurnal ilmiah teknologi informasi Asia
Florentina Yuni Arini, Florentina Yuni
Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Negeri Semarang
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Mathematics

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Journal : Scientific Journal of Informatics

 1 
Expert System Diagnosis Dental Disease Using Certainty Factor Method Setiabudi, Whisnu Ulinnuha; Sugiharti, Endang; Arini, Florentina Yuni
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8463

Abstract

Technological development is growing rapidly among with the increasing of human needs especially in mobile technology where the technology that often be used is android. The existence of this android facilitates the user in access of information. This android can be used for healthy needs, for example is detecting dental disease. One of the branches of computer science that can help society in detecting dental disease is expert system. In this research, making expert system to diagnosis dental disease by using certainty factor method. Dental disease diagnosis application can diagnose the patient based on griping of the patient about dental disease so it can be obtained diseases possibility of the patient itself. This application is an expert system application that operates on android platform. Furthermore, in the measurement accuracy of the system test performed by 20 patients, there were 19 cases of corresponding and 1 cases that do not fit. So, from system testing performed by 20 patients resulted in a 95% accuracy rate. 
Pengembangan E-Stats Berbasis Web (Studi Kasus Universitas Negeri Semarang) Arini, Florentina Yuni
Scientific Journal of Informatics Vol 1, No 1 (2014): May 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i1.3646

Abstract

Saat ini, pengembangan e-learning berbasis web menjadi tren dalam dunia pendidikan. Oleh karena itu, dalam penelitian ini penulis mengembangkan E-Stats berbasis web bidang ilmu statistik yang secara khusus dikembangkan di Universitas Negeri Semarang (UNNES). E-Stats menyediakan layanan akses artikel, jurnal dan materi tentang statistik. Artikel dan abstrak jurnal statistik dapat diakses oleh umum. Sedangkan jika menjadi member memiliki prevelege untuk mendownload jurnal dan materi yang sudah di-upload. Bagi member dapat mendaftar melalui form registrasi yang disediakan di halaman registrasi web. Desain E-Stats melalui tahap prototype (analisis, perancangan, desain sistem, ERD dan desain skema database), pemrograman, pengujian dan pemeliharaan. Melalui E-Stats, pembelajaran statistika dapat diakses online tanpa batas ruang dan waktu. 
Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara Setyawan, Agus; Arini, Florentina Yuni; Akhlis, Isa
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8458

Abstract

Issue handling of inadvertence situations in the decision-making process of recruiting new employees at PT. Warta Media Nusantara that use criteria value of interviews, field test, a psychological test and medical check-up requires Multi Attribute Decision Making (MADM) as an auxiliary method of decision-making on the prospective eligible employee to be accepted in the company. There are various MADM methods, such as Simple Additive Weighting (SAW) method and Weighted Product (WP) method. Both of these methods are known as the most common method used in handling MADM issues, so in this study both methods are applied to the DSS and analyzed the differences in terms of obtained results and the execution time required for each method. The results of the study of the application of SAW and WP methods in the recruitment of new employees DSS there are some differences in the results of the candidates rank order and the differences in execution time of each method. The differences in rank order of these methods are due to the effects of alternative values, weighting criteria, and the calculation method. WP method is able to provide more rigorous result than SAW method, while the difference in execution time of SAW and WP methods explains that the execution time of SAW method relatively quick because SAW calculation method has a simpler process than the process of WP calculation methods 
Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara Setyawan, Agus; Arini, Florentina Yuni; Akhlis, Isa
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8458

Abstract

Issue handling of inadvertence situations in the decision-making process of recruiting new employees at PT. Warta Media Nusantara that use criteria value of interviews, field test, a psychological test and medical check-up requires Multi Attribute Decision Making (MADM) as an auxiliary method of decision-making on the prospective eligible employee to be accepted in the company. There are various MADM methods, such as Simple Additive Weighting (SAW) method and Weighted Product (WP) method. Both of these methods are known as the most common method used in handling MADM issues, so in this study both methods are applied to the DSS and analyzed the differences in terms of obtained results and the execution time required for each method. The results of the study of the application of SAW and WP methods in the recruitment of new employees DSS there are some differences in the results of the candidates rank order and the differences in execution time of each method. The differences in rank order of these methods are due to the effects of alternative values, weighting criteria, and the calculation method. WP method is able to provide more rigorous result than SAW method, while the difference in execution time of SAW and WP methods explains that the execution time of SAW method relatively quick because SAW calculation method has a simpler process than the process of WP calculation methods
Expert System Diagnosis Dental Disease Using Certainty Factor Method Setiabudi, Whisnu Ulinnuha; Sugiharti, Endang; Arini, Florentina Yuni
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8463

Abstract

Technological development is growing rapidly among with the increasing of human needs especially in mobile technology where the technology that often be used is android. The existence of this android facilitates the user in access of information. This android can be used for healthy needs, for example is detecting dental disease. One of the branches of computer science that can help society in detecting dental disease is expert system. In this research, making expert system to diagnosis dental disease by using certainty factor method. Dental disease diagnosis application can diagnose the patient based on griping of the patient about dental disease so it can be obtained diseases possibility of the patient itself. This application is an expert system application that operates on android platform. Furthermore, in the measurement accuracy of the system test performed by 20 patients, there were 19 cases of corresponding and 1 cases that do not fit. So, from system testing performed by 20 patients resulted in a 95% accuracy rate.
Pengembangan E-Stats Berbasis Web (Studi Kasus Universitas Negeri Semarang) Arini, Florentina Yuni
Scientific Journal of Informatics Vol 1, No 1 (2014): May 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i1.3646

Abstract

Saat ini, pengembangan e-learning berbasis web menjadi tren dalam dunia pendidikan. Oleh karena itu, dalam penelitian ini penulis mengembangkan E-Stats berbasis web bidang ilmu statistik yang secara khusus dikembangkan di Universitas Negeri Semarang (UNNES). E-Stats menyediakan layanan akses artikel, jurnal dan materi tentang statistik. Artikel dan abstrak jurnal statistik dapat diakses oleh umum. Sedangkan jika menjadi member memiliki prevelege untuk mendownload jurnal dan materi yang sudah di-upload. Bagi member dapat mendaftar melalui form registrasi yang disediakan di halaman registrasi web. Desain E-Stats melalui tahap prototype (analisis, perancangan, desain sistem, ERD dan desain skema database), pemrograman, pengujian dan pemeliharaan. Melalui E-Stats, pembelajaran statistika dapat diakses online tanpa batas ruang dan waktu.
Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara Setyawan, Agus; Arini, Florentina Yuni; Akhlis, Isa
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8458

Abstract

Issue handling of inadvertence situations in the decision-making process of recruiting new employees at PT. Warta Media Nusantara that use criteria value of interviews, field test, a psychological test and medical check-up requires Multi Attribute Decision Making (MADM) as an auxiliary method of decision-making on the prospective eligible employee to be accepted in the company. There are various MADM methods, such as Simple Additive Weighting (SAW) method and Weighted Product (WP) method. Both of these methods are known as the most common method used in handling MADM issues, so in this study both methods are applied to the DSS and analyzed the differences in terms of obtained results and the execution time required for each method. The results of the study of the application of SAW and WP methods in the recruitment of new employees DSS there are some differences in the results of the candidates rank order and the differences in execution time of each method. The differences in rank order of these methods are due to the effects of alternative values, weighting criteria, and the calculation method. WP method is able to provide more rigorous result than SAW method, while the difference in execution time of SAW and WP methods explains that the execution time of SAW method relatively quick because SAW calculation method has a simpler process than the process of WP calculation methods 
Expert System Diagnosis Dental Disease Using Certainty Factor Method Setiabudi, Whisnu Ulinnuha; Sugiharti, Endang; Arini, Florentina Yuni
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8463

Abstract

Technological development is growing rapidly among with the increasing of human needs especially in mobile technology where the technology that often be used is android. The existence of this android facilitates the user in access of information. This android can be used for healthy needs, for example is detecting dental disease. One of the branches of computer science that can help society in detecting dental disease is expert system. In this research, making expert system to diagnosis dental disease by using certainty factor method. Dental disease diagnosis application can diagnose the patient based on griping of the patient about dental disease so it can be obtained diseases possibility of the patient itself. This application is an expert system application that operates on android platform. Furthermore, in the measurement accuracy of the system test performed by 20 patients, there were 19 cases of corresponding and 1 cases that do not fit. So, from system testing performed by 20 patients resulted in a 95% accuracy rate. 
Pengembangan E-Stats Berbasis Web (Studi Kasus Universitas Negeri Semarang) Arini, Florentina Yuni
Scientific Journal of Informatics Vol 1, No 1 (2014): May 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i1.3646

Abstract

Saat ini, pengembangan e-learning berbasis web menjadi tren dalam dunia pendidikan. Oleh karena itu, dalam penelitian ini penulis mengembangkan E-Stats berbasis web bidang ilmu statistik yang secara khusus dikembangkan di Universitas Negeri Semarang (UNNES). E-Stats menyediakan layanan akses artikel, jurnal dan materi tentang statistik. Artikel dan abstrak jurnal statistik dapat diakses oleh umum. Sedangkan jika menjadi member memiliki prevelege untuk mendownload jurnal dan materi yang sudah di-upload. Bagi member dapat mendaftar melalui form registrasi yang disediakan di halaman registrasi web. Desain E-Stats melalui tahap prototype (analisis, perancangan, desain sistem, ERD dan desain skema database), pemrograman, pengujian dan pemeliharaan. Melalui E-Stats, pembelajaran statistika dapat diakses online tanpa batas ruang dan waktu. 
Co-Authors Abdurrafi, Muhammad Agus Setyawan Ahmad Rozaq Heryansyah Alamsyah - Amin Suyitno Anggraeni, Dinda Ayu Ardiansyah, Ikhsan Astagina, Paramesti Awan Saputra Romadhoni Dewanti, Rahima Ratna Djuanda, Lyon Ambrosio Duankhan, Poomin Endang Sugiharti, Endang Fadhlullah, Muhammad Azzam Fajariansyah, Ridwan Fatiha Misbah, Mutia Zahra Firdaus Zahid, Ahmad Galvin Haryolukito Pambudi, Fawwaz Hernawan, Yoga Heryansyah, Ahmad Rozaq Irfan, Mohammad Syarif Isa Akhlis Isnaeni, Siti Julianto, Richy Kristianto, Ananda Hisma Putra Maloringan, Ariel James Mardlootillah, Hanif Ilmi Much Aziz Muslim Muhammad Lutfi Wibowo Mukti, Asteen Retno Nafi', Raihan Muhammad Naryapramono, Afrilza Daffa Niratha, I Gede Ardhy Pambudi, Fawwaz Haryolukito Pastika, Puan Bening Putra, Fatih Akbar Alim Putriaji Hendikawati Rafi, Dhifansa Pradibtya Raharjo, Bagus Purbo Rahima Ratna Dewanti Ramadhan, Farhan Husyen Ramadhan, Taufiqur Ramdhani, Khusnun Najwa Rifan, Slamet Rinandi, Tyto Rizky Aulia Adi Saputro Romadhoni, Ahmad Mustofa Hadi Romadhoni, Awan Saputra Ryo Pambudi Said, Danish Adli El Saputro, Rizky Aulia Adi Sari, Yuliana Mustika Satria, Diva Sihombing, Nico Anselmus Supriyono Supriyono Tiadah, Muthia Nis Toharo, Munajid Varindya Ditta Iswari Warianta, Dwi Tatang Whisnu Ulinnuha Setiabudi, Whisnu Ulinnuha Wibowo, Muhammad Lutfi Wicaksono, Aufa Putra