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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Teknik Komputer AMIK BSI Specta Journal of Technology International Journal of Social and Management Studies (IJOSMAS)

Luthfia Rohimah

Universitas Bina Sarana Informatika

Author-ID : 2550795

Religion Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

Published : 6 Documents Claim Missing Document

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Articles

Optimalisasi Nilai Ekspor Ikan Tuna Hs 160414 Ke Italia Dengan Metode Mamdani Luthfia Rohimah; Sinta Rukiastiandari; Juarni Siregar
JURNAL TEKNIK KOMPUTER Vol 5, No 2 (2019): JTK - Periode Agustus 2019
Publisher : Universitas Bina Sarana Informatika

The decline in oil and gas exports since 1990 requires the government to take policy steps to increase non-oil exports so that state revenues continue to grow. One of the non-oil and gas exports that is a mainstay of Indonesia is tunat fish which has the HS code 160414. Italy is a country where the demand for tuna is quite high. In order to maximize the value of Indonesian tuna exports to Italy, a method is needed to optimize the value of Indonesian tuna exports to Italy. The purpose of this study was to find out the best method to predict the value of tuna exports to Italy in the application of fuzzy logic in order to optimize the value of exports. The results showed that the Mamdani method was a good method. The Mamdani method has results that are close to the actual results with an error rate of 1.1%, so the Mamdani method can be used as the recommended method in optimizing the optimal amount of export HS 160414 Indonesia to Italy.

Penerapan Logika Fuzzy Metode Sugeno Untuk Optimalisasi Nilai Ekspor Ikan Tuna Hs 160414 Ke Italia Luthfia Rohimah; Sinta Rukiastiandari; Juarni Siregar
JURNAL TEKNIK KOMPUTER Vol 6, No 1 (2020): JTK-Periode Januari 2020
Publisher : Universitas Bina Sarana Informatika

To fund the ongoing development at this time the State requires income from various sources such as income from exports. Export is an activity of sending goods abroad where the activity will produce value. And Indonesia's export value which is quite high comes from non-oil and gas exports, one of which is the export of processed tuna 160414. One of the destination countries for the export of processed tuna which is quite high is Italy. The purpose of this study is to find out the best method for predicting the value of processed tuna exports to Italy in the application of fuzzy logic in order to optimize the value of exports. The results showed that the Sugeno method is a good method. The Sugeno method has results that are quite close to the actual results with an error rate of 41%, so the Sugeno method can be used as a recommended method in predicting the optimal amount of Indonesia's 160414 HS exports to Italy.

The Influence of Service Quality and Price on Alfamart Consumer Loyalty with Customer Satisfaction As Mediation Variables Mety Titin Herawaty; Aprillia Aprillia; Aan Rahman; Luthfia Rohimah; Helmy Ivan Taruna; Etik Dwi Styaningrum; Dede Suleman
International Journal of Social and Management Studies Vol. 3 No. 2 (2022): April 2022
Publisher : IJOSMAS

This study aims to analyze the quality of service and price on consumer loyalty, with the variable customer satisfaction as a mediating variable. Data collected from 100 respondents of Alfamart minimarkets in Jakarta, Bogor, Depok, Tangerang and Bekasi. The distribution was carried out during December 2021, using the google form due to the pandemic conditions. The research method used is purposive sampling, namely people who shop at the Alfamart Minimarket in the last month and are willing to fill out the questionnaire that the researcher gave. The collected data were analyzed using Structural Equation Modeling with SmartPLS version 3.0 software. Hasil penelitian menunjukkan Service Quality has a positive and significant effect on Customer Satisfaction, Price has a positive and significant effect on Customer Satisfaction, Service Quality has a positive and significant effect on Customer Loyalty, Price has a no significant effect on Customer Loyalty, Customer Satisfaction has a no significant effect on Customer Loyalty, Customer satisfaction did not significantly mediate the service quality and price variables on consumer loyalty.

The Effect Of Product Quality And Promotion On Customer Purchase Decisions Of Pizza Hut Restaurant In The City Of Tangerang Selatan With Price As Intervening Variable Dede Suleman; Fendi Saputra; Sugiyah Sugiyah; Aprillia Aprillia; Andi Martias; Luthfia Rohimah; Mety Titin Herawaty; Refindo Pradikta Rulando
International Journal of Social and Management Studies Vol. 3 No. 6 (2022): December 2022
Publisher : IJOSMAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5555/ijosmas.v3i6.256

This study aims to examine and examine the effect of product quality, promotion and price on purchasing decisions by Pizza Hut customers in South Tangerang City. This research is quantitative where data is obtained by giving Likert scale questionnaires to respondents who bought Pizza Hut products in the last three months in South Tangerang City. The data collection method used purposive sampling. From the questionnaires distributed online using the google form link, of the 96 respondents who filled out, only 94 data were eligible for further processing using the SmartPLS version 3.0 software. The results showed that product quality, promotion and price had a significant effect on purchasing decisions. price is not significant as a mediating variable on the effect of product quality on purchasing decisions, while on the effect of promotion on purchasing decisions, price becomes a significant mediating variable

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN JASA PENGIRIMAN PADA PT HM SAMPOERNA DENGAN METODE SIMPLE ADDITIVE WEIGHTING Rikiwanto sinaga; luthfia rohimah; Ani Yoraeni
SPECTA Journal of Technology Vol. 6 No. 3 (2022): SPECTA Journal of Technology
Publisher : LPPM ITK

Freight forwarder is a business partner for the company to deliver some goods to various regions in the world. The companies often face a few problems when delivering their product, such as inaccuracy of providing a delivery service by considering several factors like shipping prices, packaging of goods, time of delivery, delivery security, quality of logistic vehicles and other facilitations. This study developed a Decision Support System which used Simple Additive Weighting (SAW) method in order to obtain information on the best Freight Forwarder. It aims to help the companies to solve logistic problems and losses. Based on the calculated data, Pt Selog scores 0.9185 which is the best of alternative freight forwarder. The second place is Pt Tanto scores 0.8675. Next, PT Puninar is 0.8615 and PT WASHENG is 0.796.

Classifying Half-Unemployment Levels in Indonesian Provinces: A K-Means Approach for Informed Policy Decisions Suhardjono Suhardjono; Hari Sugiarto; Dewi Yuliandari; Adjat Sudradjat; Luthfia Rohimah
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 11 No 2 (2023): September 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i2.7390

Half-level unemployment refers to individuals who work part-time and are not fully employed. Increasing the half-poverty rate from year to year can lead to challenges in the lives of these individuals. The issue arising with the rise in the half-poverty rate is the government's difficulty in prioritizing areas that require intervention to address these problems. Consequently, an increase in the half-poverty rate can have adverse consequences. Therefore, it is necessary to categorize underemployment rate data obtained from public sources, specifically from data.go.id, using the widely recognized clustering method known as K-Means. The purpose of this categorization is to identify and classify provinces with a significant prevalence of half-poverty levels. This classification will assist the government in making informed decisions when addressing individuals who meet the half-poverty criteria. The results were obtained by grouping the data from the first to the eighteenth iteration into three categories: 'large' (C1), 'medium' (C2), and 'small' (C3) in terms of half-poverty levels. Group C1 comprises 17 provinces with a high half-poverty rate, while C2 includes only 2 provinces, and C3 covers 16 provinces with a significant half-poverty rate. Based on these findings, it is advisable for the Indonesian government to consider implementing policies aimed at reducing the poverty level by half. Priority should especially be given to the C1 group when creating employment opportunities for the province's residents

Co-Authors Aan Rahman Adjat Sudradjat Andi Martias Aprillia aprillia Dede Suleman Dewi Yuliandari Etik Dwi Styaningrum Fendi Saputra Hari Sugiarto - UBSI Helmy Ivan Taruna Juarni Siregar Juarni Siregar Mety Titin Herawaty Refindo Pradikta Rulando Rikiwanto sinaga Sinta Rukiastiandari Sugiyah Sugiyah Suhardjono S Yoraeni, Ani

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