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SISTEM PENDUKUNG KEPUTUSAN KELAYAKAN PEMBERIAN MODAL USAHA DI PNM ULAMM SYARIAH SIGLI MENGGUNAKAN METODE WEIGHTED PRODUCT MODEL (WPM) BERBASIS WEB Muhammad Daniel Fuat; Husaini; Zulfa Razi
Sagita Academia Journal Vol. 1 No. 1 (2023): Sagita Academia Journal
Publisher : Yayasan Sagita Akademia Maju

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Abstract

This study discusses the problems that exist in the Sigli Syariah Ulamm PNM environment where the problem is providing a determination of the provision of venture capital in Pidie district. The distribution of capital assistance is one of the right solutions for reducing poverty and expanding employment. To design a Decision Support System for providing business capital assistance at PNM Ulamm Syariah Sigli using the Weighted product model (WPM) method, the decision-making method by multiplying to connect attribute rating, the rating of each attribute must first be raised to the weight of the attribute in question. A decision support system for the feasibility of providing venture capital at PNM Ulamm Syariah Sigli using the web-based weighted product model (WPM) method can help make it easier, to assess the verification customer data for providing business capital for Ulamm Syariah Sigli
SISTEM PENDUKUNG KEPUTUSAN KELAYAKAN PEMBERIAN PINJAMAN PADA BSI CABANG SIGLI MENGGUNAKAN METODE COMPLEX PROPORTIONAL ACCESSMENT (COPRAS) BERBASIS WEB Rahmatullah; Husaini; Zulfa Razi
Sagita Academia Journal Vol. 1 No. 1 (2023): Sagita Academia Journal
Publisher : Yayasan Sagita Akademia Maju

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Abstract

Loans are the provision of services by one party to another where the service is returned within a certain period along with money as a form of remuneration. Funding requirements can be obtained from own capital or loan capital, in this study Designing an application that can perform eligibility for BSI customers in making loans Implementing the web-based complex proportional Accessment (COPRAS) method with the hope of being able to provide detailed information for eligibility of customers in granting loans by bank BSI sigli branch. based on the assessment of the criteria namely administration, Loan History, Business Feasibility and Loan Length, the conclusion in this study is that the decision support system for eligibility for granting loans to the Sigli BSI branch using the web-based Complex Proportional Accessment (COPRAS) method can assist in determining eligibility customers lending, so that lending is precise and accurate
PENGGUNAAN METODE COSINE SIMILARITY DAN TF-IDF UNTUK KLASIFIKASI JUDUL SEMINAR PROPOSAL PADA FAKULTAS TEKNIK UNIVERSITAS JABAL GHAFUR Nilawati; Husaini; Junaidi Salat
Sagita Academia Journal Vol. 2 No. 1 (2024): Sagita Academia Journal
Publisher : Yayasan Sagita Akademia Maju

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61579/sagita.v2i1.60

Abstract

The title classification system aims to help users to Group A student seminar title document into a Category. The number of Student Research title documents requires an application system that can group these documents according to their respective categories. The purpose of this study is how to build a seminar title classification system by utilizing the approach through the text of the title and description of the seminar with the TF-IDF Method to give weight to the frequency of the relationship on the occurrence of a word (term) in the calculation of the merger of title and description of the seminar. And the Cosine Similarity algorithm is used as a comparison method to know how much similarity between the two documents. This research is conducted by implementing the text mining method with cosine similarity algorithm and TF-IDF weighting so that it is expected to classify data automatically, quickly, and accurately. Using dummy data as training data used in this study, totaling 100 seminars that have been carried out with several categories of different fields of science. And for its implementation using the PHP programming language, and with the help of data resources the use of text mining that is already in PHP which is useful for the text preprocessing stage, and then will continue with the implementation process of TF-IDF Motode and Cosine Similarity algorithm.
VISUALISASI DATA STATISTIK KOMODITAS PERKEBUNAN DURIAN DI KECAMATAN TANGSE BERBASIS QUANTUM GIS Masykur Nardi; Husaini; Dedy Iskandar
Sagita Academia Journal Vol. 2 No. 1 (2024): Sagita Academia Journal
Publisher : Yayasan Sagita Akademia Maju

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61579/sagita.v2i1.61

Abstract

Durian plant is a fruit plant that can be cultivated and is included in horticultural crops. Based on data from the Central Statistics Agency (2018) obtained through the National Socio-Economic Survey (SUSENAS) in 2019, the results showed that almost all Indonesian people, namely 97.29% consumed vegetables, then around 72.59% consumed fruit. Durian fruit is included in one of the indicators in the survey ranking eighth out of a total of ten fruit commodities surveyed by the public, this shows that the demand for and consumption of durian fruit in Indonesia is still quite high. In this regard, a Geographic Information System (GIS) for mapping durian plantation commodities will be built. With this geographic information system, the Plantation and Forestry Service of the Pidie district can manage field data more quickly and in good detail. The GIS creation above uses the QGIS application to create maps, then digitizes image data from the monitoring layer and analyzes spatial data and uses the Google Earth application to digitize coordinates. The objectives of this research are as follows: To make it easier for the government to manage field data quickly and in detail, then the relevant departments can record durian plantation land owners for distribution of assistance and selection of suppliers for business units that require materials from durian harvests.