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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Teknik Komputer AMIK BSI JITK (Jurnal Ilmu Pengetahuan dan Komputer) JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Informatika dan Rekayasa Elektronik Specta Journal of Technology Infotek : Jurnal Informatika dan Teknologi International Journal of Social and Management Studies (IJOSMAS) SPEED - Sentra Penelitian Engineering dan Edukasi Paradigma International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC)

Rohimah, Luthfia

Universitas Bina Sarana Informatika

Author-ID : 2550795

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

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Implementasi Metode Tsukamoto Dalam Peningkatan Pendapatan Ekspor Ikan Tuna Ke Italia Rohimah, Luthfia; Amelia, Silvy; - UBSI, Aprillia
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 13, No 3 (2021): Speed Juli 2021
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (227.328 KB)

Abstract In carrying out State activities, the State uses the State Budget to government programs, one of which is to improve the lives of the people. The state revenue comes from various sources, one of which is non-oil and gas taxes. One of the non-oil and gas taxes comes from export activities. Tuna is one of Indonesia's export sources abroad, because Indonesia has quite a lot of marine resources, considering that most of Indonesia's territory consists of oceans. Italy is a country that consumes tuna which is quite high, but Italy is not a tuna producing country. Seeing this fact, Indonesia can take advantage of this opportunity by increasing the number of tuna exports to Italy. One method that can optimize the amount of tuna exports to Italy is the Tsukamoto method. The results showed that the Tsukamoto method had the optimal amount of tuna exports in April 2018 of $ 4,308, whereas the actual export value in April 2018 was $ 2,864.Keywords:Â fuzzy,Â export, prediction, tsukamoto, Tuna FishAbstrak Dalam menjalankan kegiatan - kegiatan Negara, Negara menggunakan APBN untuk membiayai program â€“ program pemerintah yang salah satu tujuanya adalah mensejehterahkan kehidupan masayarakat. Pendapatan Negara tersebut berasal dari berbagai sumber salah satu nya dari pajak non migas. Pajak non migas ini salah satu nya berasal dari kegiatan ekspor. Ikan tuna merupakan salah satu sumber ekspor Indonesia ke luar negeri, karena Indonesia memiliki sumber kekayaan laut yang cukup banyak mengingat sebagian besar wilayah Indonesia terdiri dari lautan. Italia merupakan Negara yang mengkonsumsi ikan tuna yang cukup tinggi, tetapi Italia bukan merupakan Negara penghasil ikan tuna. Melihat fakta tersebut Indonesia bisa memanfaatkan peluang itu dengan meningkatkan jumlah ekspor ikan tuna ke italia. Salah satu metode yang dapat melakukan optimalisasi jumlah ekspor ikan tuna ke italia adalah metode Tsukamoto . Hasil penelitian menunjukkan bahwa metode Tsukamoto memiliki jumlah optimal ekspor ikan tuna bulan April 2018 sebesar $ 4.308, dimana nialai ekspor sebenarnya pada April 2018 adalah sebesar $ 2.864Kata kunci:Â fuzzy, ekspor, prediksi, tsukamoto, Ikan Tuna

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.

PERANCANGAN PROGRAM REPOSITORY UNOFFICIAL THEME Muhammad Rizki Pradana; Silvy amelia; Luthfia Rohimah
JUTIM (Jurnal Teknik Informatika Musirawas) Vol 5 No 1 (2020): JUTIM (Jurnal Teknik Informatika Musirawas) JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

In a daily life human cannot be separated from electronic interactions, one of the example is handphone / smartphone. On a smartphone there are so many types of applications and chatting application is the most used application by smartphone users. Now using picture media is more desirable compared to other media for used in a chatting. Because of that chatting application that have a theme and sticker feature usually more desirable. line application is one of them. There are several line users that can create his own theme (creator) and then they spread the theme (unofficial theme) by timeline or official account from line@ application. But there are some problems experienced by theme users or creator, like banned account caused by line@ without obvios cause, hard for searching official account or theme that desired. Because of that writer made a system or place that can solve the problems.

PREDIKSI NILAI EKSPOR SEPATU KULIT HS 6403 KE JEPANG DENGAN METODE MAMDANI, SUGENO, DAN TSUKAMOTO Luthfia Rohimah
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 4 No 2 (2019): JITK Issue February 2019
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (930.436 KB)

Menurunnya ekspor migas sejak tahun 1990 mengharuskan pemerintah mengambil langkah kebijakan untuk meningkatkan ekspor nonmigas agar pendapatan negara tetap terus bertambah. Salah satu ekspor non migas yang menjadi andalan Indonesia adalah sepatu kulit yang mempunyai kode HS 6403. Jepang merupakan negara yang permintaan sepatu kulitnya cukup tinggi. Agar nilai ekspor sepatu kulit Indonesia ke Jepang dapat maksimal, diperlukan suatu metode yang dapat memprediksi nilai ekspor sepatu kulit Indonesia ke Jepang. Tujuan penelitian ini adalah untuk mengetahui metode terbaik untuk memprediksi nilai ekspor sepatu kulit ke Jepang dalam pengaplikasian logika fuzzy agar dapat mengoptimalkan nilai ekspor. Hasil penelitian menunjukkan bahwa metode Mamdani merupakan metode terbaik dibandingkan dengan metode Sugeno dan Tsukamoto. Metode Mamdani memiliki hasil yang paling dekat dengan hasil sebenarnya dengan tingkat error 7%, sehingga metode Mamdani bisa dijadikan metode yang direkomendasikan dalam memprediksi jumlah optimal ekspor HS 6403 Indonesia ke Jepang dibandingkan metode Sugeno yang persentase errornya 32%, dan metode Tsukamoto dengan persentase errornya 19,5%.

PERANCANGAN SISTEM INFORMASI BOOKING ONLINE PADA SALON NONI BEAUTY STUDIO Luthfia Rohimah
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 13, No 4 (2021): Speed Oktober 2021
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Salon NoniBeautyStudio is a salon that provides grooming services for women. This salon has a problem with waiting time in line and consuming a lot of time for customers. Responding to this problem, the NoniBeautyStudio salon needs to design an online appointment system, which can arrange the salon according to the scheduled time, thereby shortening the time for customers. One of the objectives of this research is to provide solutions to the problems mentioned above on a system that is still running manually by designing an online reservation system and using the prototype method. The results obtained are reflected in the system for making appointments, choosing treatments and paying online, and making the process easier, more effective and efficient. The design of information systems is the best solution to overcome the problems of Salon NoniBeautyStudio to achieve more effective activities. When designing an online ordering system, it is best to computerize the manual system so that you can connect to the mail server in the future, so that you can automatically receive order confirmations, which is more effective, easier and more convenient. soon.Keywords: Information System Design, Online Booking System, Salon

Optimization of Random Forest Prediction for Industrial Energy Consumption Using Genetic Algorithms Sartini Sartini; Luthfia Rohimah; Yana Iqbal Maulana; Supriatin Supriatin; Dewi Yuliandari
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 11 No 1 (2023): March 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i1.5886

Abstract Saving electrical energy consumption in industries is crucial; hence, the prediction of industrial energy consumption needs to be performed. The random forest method can be applied to steel industry data to predict energy consumption. The purpose of this prediction is to increase energy savings in industries and optimize the performance of the random forest method. The results of the random forest show that the algorithm can predict energy consumption in industries effectively; however, it needs further optimization to achieve better predictions. Therefore, the genetic algorithm method will be used to optimize the previous method. The optimization results indicate that it is successfully conducted in terms of accuracy and kappa level. This optimization is beneficial to society, especially industrial companies.

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

Predicting Graduation Outcomes: Decision Tree Model Enhanced with Genetic Algorithm Rukiastiandari, Sinta; Rohimah, Luthfia; Aprillia, Aprillia; Mutia, Fara
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 1 (2024): March 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i1.3165

This research aims to improve the accuracy of predicting student permit results in the digital era by utilizing machine learning techniques. The main focus is the use of a Decision Tree (DT) model optimized with a Genetic Algorithm (GA) to overcome the limitations of accuracy and testing of conventional methods. This research began with collecting student academic data, followed by preprocessing to eliminate incompleteness and organize the data format. The DT model is then built and optimized with GA, which is inspired by biological evolutionary processes to improve feature selection and parameter tuning. The results show a significant increase in prediction accuracy, from 86.19% to 87.68%, and an increase in the Area Under Curve (AUC) value from 0.755% to 0.788%. This research not only proves the effectiveness of GA integration in improving DT models, but also paves the way for the application of evolutionary techniques in educational data analysis and other fields. The main contributions of this research include the development of more accurate prediction models and practical applications in educational contexts, with the hope of assisting educational institutions in making more informed decisions for their students.

Co-Authors - UBSI, Aprillia Aan Rahman Adjat Sudradjat Amelia, Silvy Andi Martias Aprillia Aprillia, Aprillia Chodidjah Chodidjah Dede Suleman Dewi Yuliandari Fara Mutia Hari Sugiarto - UBSI Helmy Ivan Taruna Juarni Siregar Juarni Siregar Lilik Yuliawati Mety Titin Herawaty Muhammad Rizki Pradana Mutia, Fara Rikiwanto sinaga Rulando, Refindo Pradikta Saputra, Fendi Sartini Sartini Silvy amelia Sinta Rukiastiandari Styaningrum, Etik Dwi Sugiyah Sugiyah, Sugiyah Suhardjono S Supriatin Supriatin Yana Iqbal Maulana Yoraeni, Ani

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