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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Matrix : Jurnal Manajemen Teknologi dan Informatika Engagement: Jurnal Pengabdian Kepada Masyarakat
Latifatun Nadya Desinaini
UIN Sunan Ampel Surabaya
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Mechanical Engineering Social Sciences

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ADMINISTRASI SURAT BERBASIS MICROSOFT ACCESS PADA BPJS KETENAGAKERJAAN KANTOR WILAYAH JAWA TIMUR Yuniar Farida; Latifatun Nadya Desinaini
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol 11 No 1 (2021): MATRIX - Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v11i1.2334

Abstract

The role of technology in an institution is beneficial for any activities, especially in managing documents administration, which is now most of the company used digital archive systems. That's because the manual archive system is considered less effective and efficient, where it takes a lot of space and time to search for document archives. Microsoft Access is a windows-based database processing program with Visual Basic for Application (VBA), commonly used to create a windows-based application. The purpose of this paper is to make an administration letter and archives system based on Microsoft Access. The results of this design have passed the trial process for approximately two weeks and received a positive response. The system design can be run well, and its functions correctly without errors. So it can help the secretary or other employees to manage all documents (letters and archives) more accessible and faster.
Evaluation of Food Security Area of East Java Province Using Fuzzy C-Means (FCM) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Yuniar Farida; Ghina Salsabila Firdaus; Ahmad Teguh Wibowo; Silvia Kartika Sari; Latifatun Nadya Desinaini
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 17, No 4 (2023): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.82297

Abstract

The formation of quality human resources cannot be separated from food, as nutritional intake affects human performance and health. As time increases, the number of residents increases to increase food needs. The ability of a region to meet food needs in its territory is different from other regions. This study aims to classify regions in East Java Province based on food security and determine areas with the best and lowest food security. The method used is the Fuzzy C-Means (FCM) and TOPSIS methods.This research uses criteria based on the Food Security Index compiled by the Food Security Agency. The results of regional clustering using FCM selected the best cluster using three clusters for all requirements, except in food utilization in the city using five clusters. Furthermore, from the clustering results, clustering and cluster members use TOPSIS and produce Magetan regency and Madiun city as areas with the highest food security. At the same time, the lowest food securities are Probolinggo regency and Kediri city.
Comparing Support Vector Machine and Naïve Bayes Methods with A Selection of Fast Correlation Based Filter Features in Detecting Parkinson's Disease Yuniar Farida; Nurissaidah Ulinnuha; Silvia Kartika Sari; Latifatun Nadya Desinaini
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 14 No 2 (2023): Vol. 14, No. 2 August 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i02.p02

Abstract

Dopamine levels fall due to brain nerve cell destruction, producing Parkinson's symptoms. Humans with this illness experience central nervous system damage, which lowers the quality of life. This disease is not deadly, but when people's quality of life decreases, they cannot perform daily activities as people do. Even in one case, this disease can cause death indirectly. Contrast support vector machines (SVM) and naive Bayesian approaches with and without fast correlation-based filter (FCBF) feature selection, this study attempts to determine the optimum model to detect Parkinson's disease categorization. In this study, datasets from the UCI Machine Learning Repository are used. The results showed that SVM with FCBF achieved the highest accuracy among all the models tested. SVM with FCBF provides an accuracy of 86.1538%, sensitivity of 93.8775%, and specificity of 62.5000%. Both methods, SVM and Naive Bayes, have improved in performance due to FCBF, with SVM showing a more significant increase in accuracy. This research contributed to helping paramedics determine if a patient has Parkinson's disease or not using characteristics obtained from data, such as movement, sound, or other pertinent factors.
Economic Empowerment of Housewives Based on OPOR (One Product in One RT) in Pojok Village of Magetan Regency, Using the Asset-Based Community-Driven Development (ABCD) Approach Yuniar Farida; Wika Dianita Utami; Aris Fanani; Latifatun Nadya Desinaini; Silvia Kartika Sari
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol 6 No 1 (2022): May 2022
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v6i1.1161

Abstract

Nowadays, the improvement in resources, especially among women, is considered. One of the efforts to empower women in the village can be done through the assistance of Micro, Small, and Medium Enterprises (MSMEs). This research-based community service aims to assist the community, especially women (housewives) in Pojok Village of Magetan Regency, in developing home businesses. This community service is carried out by using ABCD approach, which is an approach to understanding and internalizing assets, potential, strength, and utilization independently and optimally. The results of the community service carried out by researchers have positive impact to the community and it fosters a high desire and enthusiasm to make changes for the better in the development of marketing businesses, both during the mentoring process and post-mentoring so that the economy in Pojok Village, Magetan Regency can increase
Co-Authors Ahmad Teguh Wibowo Aris Fanani Ghina Salsabila Firdaus Nurissaidah Ulinnuha Silvia Kartika Sari Wika Dianita Utami Yuniar Farida