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All Journal Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika AL ISHLAH Jurnal Pendidikan Jurnal Informatika JIKO (Jurnal Informatika dan Komputer) JURNAL REKAYASA TEKNOLOGI INFORMASI Jurnal Kreativitas PKM Jurnal Abdimas Mahakam Jurnal Sains Komputer dan Teknologi Informasi Jurnal Teknimedia: Teknologi Informasi dan Multimedia Jurnal Tika Safari : Jurnal Pengabdian Masyarakat Indonesia Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Pengabdian Masyarakat Nian Tana Prosiding Seminar Nasional Unimus International Journal of Artificial Intelligence in Medical Issues JSE Journal of Science and Engineering
Latipah, Asslia Johar
Universitas Muhammadiyah Kalimantan Timur
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Journal : JSE Journal of Science and Engineering

 1 
Application and Evaluation of AHP-ELECTER Performance In The Determination of The Thesis Supervisor Asslia Johar Latipah
JSE Journal of Science and Engineering Vol. 1 No. 2 (2020): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v2i1.1882

Abstract

Thesis is part of a student's study journey. Universitas Muhammadiyah Kalimantan Timur (UMKT) has a scheme for organizing a thesis that is different from other universities. This Lecturer and Student Collaboration Scheme (KDM) has the concept that thesis work is carried out in groups under the guidance of one lecturer. The role of the supervising lecturer then becomes very important because the determination of the research theme is carried out by the lecturer and students only need to work on the sub-section of the research as their thesis. The selection of supervisors then becomes important and study programs with a very large number of students in one batch as well as study programs with very few students will be overwhelmed by this scheme. The determination of the thesis supervisor is usually done by considering certain criteria. This study uses a combination of AHP and ELECTRE to analyze how the performance of the two methods when faced with the case of determining a supervisor with a different scheme from the thesis in general. The study programs selected as samples were taken from each faculty at UMKT, namely Informatics Study Program, Management Study Program, English Education Study Program, Public Health Study Program and International Relations Study Program. From the five study programs, the most widely used criteria were the functional position of the lecturer, quota, suitability of research with the lecturer roadmap, and student concentration. The results show that AHP-ELECTR can be used to determine supervisors with this KDM scheme with an average accuracy value of 83%. ELECTRE as an alternative removal method is able to eliminate prospective lecturers who do not meet the criteria.
Multilayer Perceptron and TF-IDF in the Classification of Hate Speech on Twitter in Indonesian Akmal Syahrandi; Asslia Johar Latipah; Naufal Azmi Verdikha
JSE Journal of Science and Engineering Vol. 2 No. 1 (2023): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v1i1.3773

Abstract

Twitter nowadays is one of the popular social media which currently has over 300millions accounts, twitter is the rich source to learn about people’s opion and sentimental analysis. However, this also brings new problems where the practice of hate speech. This research classifies of hate speech on social media. Evaluation using dataset from previous research Ibrohim&Budi (2019), then using classification method Multilayer Perceptron which combined with feature extraction to be able to detect negations and weighting uses Term Frequency – Inverse Document Frequency (TF-IDF). Results show that the F1 score gives an accuracy rate of up to 74.51%. This research has a reasonably good effectiveness from combining the TF-IDF and Multilayer Perceptron methods, considering the results obtained from the F1 Score evaluation value.
Comparative Analysis of the Application of AHP and SAW in the Selection of the Best Employees at the Main Samsat Office, Samarinda City. Dwiki Adi Darmawan; Arbansyah Arbansyah; Asslia Johar Latipah
JSE Journal of Science and Engineering Vol. 2 No. 2 (2024): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v1i2.3838

Abstract

Employees are a supporting factor in a company or agency, because with employeeswho have company qualification standards, the company's productivity will be maintained and will increase. The AHP and SAW methods can be used to determine the best employees. There are 3 criteria and 16 alternatives that are given a value based on the scale of importance and weight for each criterion that has been determined by the Samarinda City Samsat Main Office which will be processed to find a sensitivity value using two methods, namely AHP and SAW. By carrying out the calculation process as much as 6 times the weight addition experiment where each weight is added to the value of 0.5 and 1 which is applied to the two AHP and SAW methods produces the sensitivity values of the two methods and uses two experiments with the first formula (XA – XB) and ( XA + XB ) then the sensitivity value obtained from the first trial of the AHP method is - 2.592705356 and the sensitivity value of the SAW method is -4.522690058. The second experiment added the value (XA + XB) so that the results of the sensitivity values of the two methods were obtained, namely AHP 5.952672848 and SAW method 8.358567251. From the calculations of these two methods, the SAW method was chosen which is more sensitive, so the best employee with the highes score at the Samsat Main Office, Samarinda City, was A1, namely the Selvi Salamah alternative, with a priority value of0.944444444.
Decision Support System for Selection of The Best Doctor at Ahmad Brahim Hospital Using the Simple Additive Weighting (SAW) Method Reni Fahra; Abdul Rahim; Asslia Johar Latipah
JSE Journal of Science and Engineering Vol. 2 No. 2 (2024): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v1i2.3852

Abstract

The selection of the best doctors at the Ahmad Brahim hospital was not only done once, but the selection of the best health workers at the Ahmad Brahim hospital was also carried out, but the selection of the best health workers was still done manually by the health department. Therefore, to help speed up the research process, a website-based decision support system was created to select the best doctors to provide rewards with several methods that can be used. One of the methods used in making decisions is simple additive weighting (SAW) which is done by weighting each of the criteria used. Decision support website created using the PHP and MYSQL programming languages for data storage. This study has criterion 3, namely absence, attitude and diligence then have 7 alternatives, the 7 alternatives have 4 ratings 1 where the average assessment is the same as the absence score 0.45, the attitude value is 0.35 and the diligence value is 0.12 with a total value of 1 so those who get the first rank score are dr. Audi Pirade, dr. Kesatria Putra Abadi, dr. Nurfitri Rahmani Awaliyah and dr. Riska Ruswanti. Then the second rank is dr. Christi Angelia Arung Labi with an absence score of 0.45, an attitude value of 0.35 and a diligence value of 0.12 with a total of 0.92
Co-Authors A Halim A. Serlina Abdul Halim Abdul Rahim Ahmad Dzaky Akmal Syahrandi Aldiannur Anis Siti Nurrohkayati Arbansyah Arbansyah Aris Wahyu Murdiyanto Asthiningsih, Ni Wayan Wiwin Asthiningsih, Ni Wayan Wiwin Aurelia Novinta Taufik Aurelia Novinta Taufik Azelina Zahra Riadini Azelina Zahra Riadini Azhar Aziz Lubis Bintang Fajrul Pallah Cindy Azra Salsabila Dio Setiyawan Dwiki Adi Darmawan Faldi Faldi Kadir Parewe, Andi Maulidinnawati Abdul Lilis Sagita Lilis Sagita Marzuki Marzuki Marzuki Milkhatun, Milkhatun Muhammad Hafizh Atthoriq Muhammad Hafizh Atthoriq Naufal Azmi Verdhika Naufal Azmi Verdikha Nuraini, Nabila Pangestu, Lintang Aji Paula Mariana Kustiawan Puji Astuti, Nur Rochmah Dyah Putra, Fajri Profesio Reni Fahra Rizal, Alfi Ari Fakhrur Rudi Setiawan Sayekti Harits Suryawan Sayekti Harits Suryawan, Sayekti Harits Sigiet Haryo Pranoto Siti Holipah Siti Puspita Hida Sakti MZ Sri Mar’ati Sholikhah Sri Mar’ati Sholikhah Sri Wahyuni Syahrul Fathur Rahman Yusuf Arqam Nurkarim