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Journal : Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control

The Analysis of Proximity Between Subjects Based on Primary Contents Using Cosine Similarity on Lective Al-rizki, Muhammad Andi; Wicaksono, Galih Wasis; Azhar, Yufis
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 4, November-2017
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (663.327 KB) | DOI: 10.22219/kinetik.v2i4.271

Abstract

In education world, recognizing the relationship between one subject and another is imperative. By recognizing the relationship between courses, performing sustainability mapping between subjects can be easily performed.  Moreover, detecting and reducing any duplicated contents in several subjects will be also possible to execute. Of course, these conveniences will benefit lecturers, students and departments. It will ease the analysis and discussion processes between lecturers related to subjects in the same domain. In addition, students will conveniently choose a group of subjects they are interested in. Furthermore, departments can easily create a specialization group based on the similarity of the subjects and combine the courses possessing high similarity. In this research, given a good database, the relationship between subjects was calculated based on the proximity of the primary contents of the subjects. The feature used was term feature, in which value was determined by calculating TF-IDF (Term Frequency Inverse Document Frequency) from each term. In recognizing the value of proximity between subjects, cosine similarity method was implemented. Finally, testing was done utilizing precision, recall and accuracy method. The research results show that the precision and accuracy values are 90,91% and the recall value is 100%.
Case Based Reasioning (CBR) for Medical Question Answering System Basuki, Setio; Rizky, Alfira; Wicaksono, Galih Wasis
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (421.366 KB) | DOI: 10.22219/kinetik.v3i2.263

Abstract

In this research, the researchers implement a medical Question Answering System (QAS), a complaint system in the form of sentences or paragraphs of questions about the complaint (illness) suffered by a person. Afterwards, the system will give answer to the questions with answers in the form of diagnosis based on the system knowledge. The system in this study has knowledge of the system obtained based on Case Based Reasoning (CBR) method from the previous cases stored in the database. When there is a new case, the system will perform a matching process using CBR and Sorenson Coefficient calculations to find out which the previous cases have the highest percentage of matches with the new case. Then the selected previous cases will be taken and given to the new case. Testing is processed by using 2 types of testing, expert validation testing with result of 28 data of appropriate test from 30 test data and accuracy testing resulting of 93,33% from the appropriate test data.
Peningkatan Kualitas Evaluasi Mutu Akademik Universitas Muhammadiyah Malang melalui Sistem Informasi Mutu (SIMUTU) Galih Wasis Wicaksono; Muhammad Andi Al-Rizki
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 1, No 1, May-2016
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (482.196 KB) | DOI: 10.22219/kinetik.v1i1.3

Abstract

Implementasi Sistem Penjaminan Mutu Internal di Universitas Muhammadiyah Malang dilaksanakan oleh Badan Kendali Mutu Akademik. Prinsip kerjanya mengacu pada siklus penetapan standar, pelaksanaan standar, evaluasi pelaksanaan standar, pengendalian standar dan peningkatan standar. Siklus penjaminan mutu internal tersebut menuntut kedinamisan sehingga mendorong pemanfaatan teknologi informasi sebagai tools dalam pelaksaannya. Sampai dengan saat ini, telah ditetapkan 43 dokumen mutu, dengan jumlah mahasiswa 35.466 orang mahasiswa, jumlah dosen 614 orang dosen, yang tersebar di 55 program studi dan program profesi. Apabila seluruh siklus SPMI dilaksanakan secara manual, akan membutuhkan sumberdaya manusia, waktu dan biaya yang sangat besar. Guna mengatasi masalah tersebut telah dibangun SIMUTU. SIMUTU berhasil menyediakan 13 evaluasi mutu dengan pengguna Badan Kendali Mutu Akademik, Mahasiswa, Program Studi, Laboratorium, Perpustakaan dan Dosen. Hasil pengujian fungsionalitas pada prototype SIMUTU menunjukkan bahwa seluruh fitur beroperasi sesuai dengan kebutuhan dan rancangan.
Case Based Reasioning (CBR) for Medical Question Answering System Setio Basuki; Alfira Rizky; Galih Wasis Wicaksono
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (421.366 KB) | DOI: 10.22219/kinetik.v3i2.263

Abstract

In this research, the researchers implement a medical Question Answering System (QAS), a complaint system in the form of sentences or paragraphs of questions about the complaint (illness) suffered by a person. Afterwards, the system will give answer to the questions with answers in the form of diagnosis based on the system knowledge. The system in this study has knowledge of the system obtained based on Case Based Reasoning (CBR) method from the previous cases stored in the database. When there is a new case, the system will perform a matching process using CBR and Sorenson Coefficient calculations to find out which the previous cases have the highest percentage of matches with the new case. Then the selected previous cases will be taken and given to the new case. Testing is processed by using 2 types of testing, expert validation testing with result of 28 data of appropriate test from 30 test data and accuracy testing resulting of 93,33% from the appropriate test data.
The Analysis of Proximity Between Subjects Based on Primary Contents Using Cosine Similarity on Lective Muhammad Andi Al-rizki; Galih Wasis Wicaksono; Yufis Azhar
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 4, November-2017
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (663.327 KB) | DOI: 10.22219/kinetik.v2i4.271

Abstract

In education world, recognizing the relationship between one subject and another is imperative. By recognizing the relationship between courses, performing sustainability mapping between subjects can be easily performed.  Moreover, detecting and reducing any duplicated contents in several subjects will be also possible to execute. Of course, these conveniences will benefit lecturers, students and departments. It will ease the analysis and discussion processes between lecturers related to subjects in the same domain. In addition, students will conveniently choose a group of subjects they are interested in. Furthermore, departments can easily create a specialization group based on the similarity of the subjects and combine the courses possessing high similarity. In this research, given a good database, the relationship between subjects was calculated based on the proximity of the primary contents of the subjects. The feature used was term feature, in which value was determined by calculating TF-IDF (Term Frequency Inverse Document Frequency) from each term. In recognizing the value of proximity between subjects, cosine similarity method was implemented. Finally, testing was done utilizing precision, recall and accuracy method. The research results show that the precision and accuracy values are 90,91% and the recall value is 100%.
Recommended Features of Learning Management System Using Feature-Oriented Method Software Development on Moodle Hari Windu Asrini; Galih Wasis Wicaksono; Budiono Budiono; Gilang Ramadhan; Evi Dwi Wahyuni
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 4, November 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i4.1354

Abstract

Learning Management System (LMS) serves as a learning media effective for online learning during Covid-19. The rising use of LMS these days indicates that LMS features need to be further measured for their relevance to the National Standards of Higher Education (SN-Dikti). This measurement is also essential to be applied for five blended learning criteria for flexible time and place to access lessons. The objective of this research is to analyze the features of the LMS implemented on Moodle version 3.10. The analysis of the features was carried out by employing the methods of Feature-Oriented Software Development (FOSD), a method that elaborates software system relating to existing features of LMS, involving: 1) Canvas; 2) Edmodo; 3) Google Classroom; 4) Moodle; 5) Zoom Meeting; 6) Google Meet; 7) efront, and 8) Microsoft Teams. In accord with the testing and validation by experts, the research revealed that there were 56 features of LMS pertinent to learning and assessment standards of SN-Dikti and E-learning self-study criteria with other blended-media or events, instructor-led program, live e-learning, on the job training, simulation, and lab centered on blended learning. Those 56 features were approved by experts and implemented by employing Moodle version 3.10 relevant to the SN-Dikti and blended learning
Co-Authors Adi Bagus Setiawan Agus Eko Minarno Ahmad Faiz, Ahmad Ahmad Salam Rahim Al asqalani, Sheila Fitria Al Sakinata, Annisa' Al-Fatih, Solahudin Al-rizki, Muhammad Andi Aldiensyah Aldy Satria Gumilar Alfian Dwi Khoirul Annas Alfira Rizky Alimuddin Hasan Al Kabir Amiludin, Amiludin Aminudin Aminudin, Aminudin Andesti, Kiki Andjani Chaerun Nisha Andreawan Andreawana, Andreawana Anisa Dewi Anggraeni Arcelia, Allysa Sonia Aria Maulana Eka Mahendra arrafiq, ubay hakim Aulyah, Khairunnisa Azzahra, Kiara Basuki, Setio Bella Dwi Mardiana Budiono Budiono Budiono Budiono Chandranegara, Didih Rizki Cholidah, - Christian Sri Kusuma Aditya Christian Sri Kusuma Aditya Christian Sri kusuma Aditya, Christian Sri kusuma Dati Nafa Alfiana Didih Rizki Chandranegara Edo Ardhiansyah Eko Budi Cahyono Erwin Budi Setiawan Evi Dwi Wahyuni Fakhrul Nasrulloh Fath Dzulkifli Febri Ayu Fitriani Feny Aries Tanti Ferdiansyah, Danny Gilang Ramadhan Gita Indah Marthasari Hakim, Muhammad Nafi Maula Hardianto Wibowo Hari Windu Asrini Harmanto, Dani Hermansyah Adi Saputra Hilman Abi Sarwan Heryawan I'anatut Thoifah Ianatut Thoifah Intana Sari, Tiara Iqbal Fairus Zamani Kharisma Muzaki Ghufron Lathifah, Fildzah Maskur Maskur Muafika, Siti Nurmala Lailatul Muhammad Andi Al-Rizki Muhammad Farhansyah Muhammad Riadi Muhammad Risky Pratama Hermawan Muhammad Rojib Saiful Nisrina Arintia Maghfiroh Nizarullah Himawan Noor Prasetyo, Said Nur Hayatin Nur Oktaviana, Ulfah Nur Putri Hidayah Nuryasin, Ilyas Perdana, Muhammad Ilham Rakha Pradana Susilo Putra Ricky Hendrawan Rizka Nurlizah Rizky, Alfira Rizky, Wahyu Saiful Amien Saiful Arif, Mukhammad Rojib Saleh, Abd Saleha, Meisya Maulidina Sari, Tiara Intana Syuyukh, Fakhrusy Ulfah Nur Oktaviana Wahyu Budi Utomo Wildan Suharso Yuda Munarko Yufis Azhar Yunus, Nur Rohim Zakiyah Rakhmawati Zamah Sari