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Latipah, Asslia Johar
Universitas Muhammadiyah Kalimantan Timur
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Penerapan Metode AHP-WP Dalam Penentuan Lulusan Terbaik Profesi Ners UMKT Fajrul Pallah, Bintang; Latipah, Asslia Johar; Rahim, Abdul
Jurnal Tika Vol 8 No 2 (2023): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v8i2.2076

Abstract

The Ners profession is an advanced study program in the field of nursing. In completing their studies, the best graduate students will be selected. In the implementation of determining the best graduates, there are several criteria that must be met, but in its implementation it still uses certain criteria that are not objective. Therefore, a decision-making method is needed that can take into account all the criteria used to determine the best graduates. Based on the criteria that have been determined by the UMKT Nursing Profession Study Program, calculations are carried out using the AHP-WP method. The AHP method is used to determine the weight of each criterion, while the WP method is used for ranking alternatives. From the results of the calculation it can be that alternative 1 (Dinda Ayu Framaisella) as rank 1 which means being the best graduate. In this test, an accuracy of 73.40% was obtained using 94 alternative data from Nursing Profession students for the 2021/2022 academic year.
Multilayer Perceptron and TF-IDF in the Classification of Hate Speech on Twitter in Indonesian Syahrandi, Akmal; Latipah, Asslia Johar; Verdikha, Naufal Azmi
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. Darmawan, Dwiki Adi; Arbansyah, Arbansyah; Latipah, Asslia Johar
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 Fahra, Reni; Rahim, Abdul; Latipah, Asslia Johar
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
Edukasi Faktor Penyakit Tanaman terhadap Kualitas Komoditas Warga Desa Musaping Asslia Johar Latipah; Paula Mariana Kustiawan
Jurnal Abdimas Mahakam Vol. 6 No. 02 (2022): Juli
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/jam.v6i02.1608

Abstract

Desa Musaping merupakan sebuah desa yang berada di Loa Duri Ulu Kutai Kartanegara dengan mayoritas mata pencaharian masyarakatnya adalah berkebun dan berladang. Terdapat beberapa permasalahan yang kemudian menjadikan potensi perkebunan yang besar ini tidak terlalu dirasakan keuntungannya secara material oleh para pemilik kebun. Tanaman yang ditanam sering terkena penyakit hingga gagal panen. Komoditas seperti pisang, singkong dan pepaya. Menurut kepala desa musaping 4, penyakit pada tanaman ini dialami sejak tahun 2020 dimana ditemukan singkong, pisang dan pepaya mengalami busuk didalam buahnya, namun terlihat sehat jika dilihat secara kasat mata. Kondisi topologi desa yang cukup terjal, membuat jaringan masih belum masuk kedalam desa, sehingga masyarakat juga mengalami kesulitan dalam melakukan literasi digital. Perlu adanya suatu jalan keluar yang dapat memperbaiki kualitas komoditas warga. Pengabdian dimulai dengan mengambil sampel tanah dan tanaman yang bermasalah dari beberapa perkebunan warga. Sampel ini diteliti dan ditemukan bakteri Pseudomonas solanacearum dan jamur Fusarium oxysporum f.sp sebagai penyebab penyakit tanaman di wilayah tersebut. Tim pengabdian kemudian melakukan edukasi kepada warga terkait penyebab penyakit dan cara mengatasinya. Dari 25 warga yang hadir, pada posttest didapatkan pemahaman sebanyak peningkatan dari masyarakat yang tidak mengetahui sama sekali, menjadi 64% atau sebanyak 16 orang yang memahami dari seluruh warga yang hadir. Kata Kunci: edukasi, kualitas komoditas, penyakit tanaman
Co-Authors A Halim A. Serlina Abdul Halim Abdul Rahim Abdul Rahim Ahmad Dzaky Aldiannur Anis Siti Nurrohkayati Arbansyah Arbansyah 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 Darmawan, Dwiki Adi Dio Setiyawan Fahra, Reni Fajrul Pallah, Bintang 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 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 Syahrandi, Akmal Syahrul Fathur Rahman Yusuf Arqam Nurkarim