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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) CAUCHY: Jurnal Matematika Murni dan Aplikasi TELKOMNIKA (Telecommunication Computing Electronics and Control) REKAYASA Scientific Journal of Informatics Jurnal Ilmiah Teknik Industri Journal of Information Systems Engineering and Business Intelligence Jurnal Fourier INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Matematika: MANTIK JBMP (Jurnal Bisnis, Manajemen dan Perbankan) BAREKENG: Jurnal Ilmu Matematika dan Terapan Matrix : Jurnal Manajemen Teknologi dan Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING JTAM (Jurnal Teori dan Aplikasi Matematika) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Teorema: Teori dan Riset Matematika Mathvision : Jurnal Matematika Systemic: Information System and Informatics Journal Computer Science and Information Technologies Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Enthusiastic : International Journal of Applied Statistics and Data Science Jurnal Matematika Integratif Engagement: Jurnal Pengabdian Kepada Masyarakat International Journal of Computing Science and Applied Mathematics-IJCSAM
Yuniar Farida
Universitas Islam Negeri Sunan Ampel Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Analysis of Landing Airplane Queue Systems at Juanda International Airport Surabaya Farida, Yuniar; Akbar, Fadilah; Hafiyusholeh, Moh.; Hartono, Moh.
CAUCHY Vol 7, No 1 (2021): CAUCHY: Jurnal Matematika Murni dan Aplikasi
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v7i1.12772

Abstract

Juanda International Airport is currently preparing to realize the construction of terminal 3. This construction project impression that Juanda Airport is experiencing an overload, including in the airplane queue. This study aims to analyze the current queuing system at the Juanda International Airport apron, whether effective, quite effective, or less effective in serving the number of existing flights with two terminals. An analysis of the queuing system was conducted in several scenarios. They are in normal/regular condition, a scenario if there is an increase in flight frequency, and a scenario if there is a reduction in aprons’ number because of certain exceptional situations. To analyze the airplane’s landing queue at Juanda airport apron, the queuing model (M/M/51) : (FCFS/∞/∞) is used. From this model, the results show that in normal conditions, the estimated waiting time for each airplane in the system is 0.18 hours with a queue of 2 up to 3 planes/hour, categorized as effective. In one apron reduction scenario, each airplane’s estimated waiting time in the system is 0.7 hours, with a queue of 6 up to 7 planes categorized as less effective. In the scenario of additional flights, only 9 other flights are allowed every day to keep the service performance still quite effective. By obtaining this results analysis, the decision of PT. Angkasa Pura 1 (Persero) to build terminal 3 is suitable to reduce queuing time and improve Juanda International Airport services to be more effective.
Spline Nonparametric Regression to Analyze Factors Affecting Gender Empowerment Measure (GEM) in East Java Mahfiroh, Luluk; Farida, Yuniar
CAUCHY Vol 7, No 1 (2021): CAUCHY: Jurnal Matematika Murni dan Aplikasi
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v7i1.12993

Abstract

Gender is a multidimensional issue that's not limited to gender discrimination, but alsoincludes the economic, educational, and health aspects, which then become the focus of almost all the Sustainable Development Goals (SDGs). Evaluation of the development devoted to the perspective of the gender using several indicators, Gender Development Index (GDI) and Gender Empowerment Measure (GEM). GEM describes the role of women in the economic sphere and is measured by equality in political participation. GEM of East Java for 5 consecutive years (2014 – 2018) is lower than the average national GEM. This study aims to identify factors affecting GEM in East Java using nonparametric regression spline quadratic. The result ofthe regression model shows the factors affecting GEM East Java is the Labor Force Participation Rate(LFPR) population of women (), School Participation Rate(SPR) high school population of women (), Percentage of Population Female thatWorking in the formal sector (), sex ratio (), Percentage of Population Female that Working as members of People’s Representative Council (), Percentage of Population Female that working as Civil Servants (), and rate of women's income donations (). The model generates value of 93.74% and MAPE of 3.22%.This research contributes to the implementation of non-parametric spline regression in identifying various factors that influence social phenomena.
Analisis Performa Mata Uang Virtual (Cryptocurrency) Menggunakan Preference Ranking Organization Method For Enrichment Evaluation (Promethee) Farida, Yuniar; Khasanah, Zhara Shafira Uswatun
Rekayasa Vol 14, No 1: April 2021
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v14i1.8793

Abstract

Cryptocurrencies are among the inventions that have caused a stir in the economy of late. Because in its use there are still pros and cons of various countries. Some countries reject the use of cryptocurrencies and others support the use of cryptocurrencies because it is considered a modernization of payment tools. Besides being used for payment instruments, cryptocurrencies can also be one of the options to invest. The number of cryptocurrencies that exist causes investors to be observant in making the right choices. In this study, the Promethee method was used I and II to determine the rank of 7 virtual currencies. Promethee I is a partial assessment method while Promethee II is a complete assessment method. The data used for ranking is obtained from the questionnaire "sentiment on the performance of cryptocurrencies". The results of the cryptocurrency performance analysis showed that the investment commodity of the most recommended in a row is Bitcoin with a net flow value of 0.33267, Cardano 0.14267, Ethereum 0.04800, Ripple 0.04733, Stellar -0.04733, Litecoin -0.04767 and Dogecoin -0.47567.
Tide Prediction in Prigi Beach using Support Vector Regression (SVR) Method Utami, Tri Mar'ati Nur; Novitasari, Dian Candra Rini; Setiawan, Fajar; Ulinnuha, Nurissaidah; Farida, Yuniar; Sari, Ghaluh Indah Permata
Scientific Journal of Informatics Vol 8, No 2 (2021): November 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i2.28906

Abstract

Purpose: Prigi Beach has the largest fishing port in East Java, but the topography of this beach is quite gentle, so it is prone to disasters such as tidal flooding. The tides of seawater strongly influence the occurrence of this natural event. Therefore, information on tidal level data is essential. This study aims to provide information about tidal predictions. Methods: In this case using the SVE method. Input data and time were examined using PACF autocorrelation plots to form input data patterns. The working principle of SVR is to find the best hyperplane in the form of a function that produces the slightest error. Result: The best SVR model built from the linear kernel, the MAPE value is 0.5510%, the epsilon is 0.0614, and the bias is 0.6015. The results of the tidal prediction on Prigi Beach in September 2020 showed that the highest tide occurred on September 19, 2020, at 10.00 PM, and the lowest tide occurred on September 3, 2020, at 04.00 AM. Value: After conducting experiments on three types of kernels on SVR, it is said that linear kernels can predict improvements better than polynomial and gaussian kernels.
Regression model focused on query for multi documents summarization based on significance of the sentence position Aris Fanani; Yuniar Farida; Putra Prima Arhandi; M. Mahaputra Hidayat; Abdul Muhid; Billy Montolalu
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 6: December 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i6.12494

Abstract

Document summarization is needed to get the information effectively and efficiently. One method used to obtain the document summarization by applying machine learning techniques. This paper proposes the application of regression models to query-focused multi-document summarization based on the significance of the sentence position. The method used is the Support Vector Regression (SVR) which estimates the weight of the sentence on a set of documents to be made as a summary based on sentence feature which has been defined previously. A series of evaluations performed on a data set of DUC 2005. From the test results obtained summary which has an average precision and recall values of 0.0580 and 0.0590 for measurements using ROUGE-2, ROUGE 0.0997 and 0.1019 for measurements using the proposed regression-SU4. Model can perform measurements of the significance of the position of the sentence in the document well.
Pengembangan Model Fuzzy Project Evaluation Untuk Analisis Kelayakan Finansial Pendirian Pabrik Baru Yuniar Farida
Jurnal Matematika MANTIK Vol. 1 No. 1 (2015): Matematika dan Terapan
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (388.702 KB)

Abstract

Untuk rencana pembangunan suatu pabrik baru, aspek finansial merupakan aspek terpenting dalam evaluasi kelayakannya. Dikatakan demikian, karena sekalipun aspek lain tergolong layak, jika studi aspek finansial memberikan hasil yang tidak layak, maka usulan proyek akan ditolak karena tidak memberikan manfaat ekonomi. Dalam penelitian ini Net Present Value (NPV) digunakan sebagai metode evaluasi kelayakan finansial rencana pendirian pabrik PT. X. Dalam perhitungan NPV, salah satu faktor yang krusial adalah tarif diskonto atau discount rate yang berlaku pada masa pengembalian investasi suatu proyek. NPV suatu proyek harus dihitung dengan discount rate konstan sampai masa pengembalian investasi, meski pada kenyataannya faktor – faktor yang mempengaruhi discount rate setiap tahun tidak selalu sama, akibatnya nilai NPV menjadi samar (fuzzy). Untuk mengatasi hal tersebut, maka dilakukan suatu pemodelan untuk mendekati nilai discount rate yang tepat. Dalam penelitian ini discount rate dihitung berdasarkan nilai WACC (Weighted Average Cost of Capital) yang merupakan gabungan dari struktur modal, yaitu hutang dan ekuitas. Untuk memperoleh nilai WACC yang tepat, dilakukan pendekatan dengan menggunakan Triangular Fuzzy Number (TFN). Adapun penggunaan fuzzy dilakukan karena WACC mengandung unsur ketidakpastian yang tinggi, yang bisa membuat perhitungan WACC dengan metode konvensional menjadi samar/kabur. Dari hasil perhitungan menggunakan TFN, diperoleh nilai WACC sebesar 13.64 % dan menghasilkan NPV sebesar 6,430,464,000,000. Sedangkan nilai WACC deterministik yang dihasilkan evaluator sebesar 13.72 % dan menghasilkan NPV sebesar 6,358,310,540,000
Klasifikasi Menggunakan Metode Hybrid Bayessian-Neural Network (Studi Kasus: Identifikasi Virus Komputer) Dian C Rini; Yuniar Farida; Dwi Puspitasari
Jurnal Matematika MANTIK Vol. 1 No. 2 (2016): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.93 KB)

Abstract

Virus komputer merupakan suatu program yang menginfeksi komputer terutama pada saat komputer sedang beroperasi dan menjadi momok bagi pengguna komputer. Virus komputer dapat menggandakan dirinya sendiri dan menyebar dengan cara menyisipkan dirinya pada program dan data lainnya. Efek negatif virus komputer adalah memperbanyak dirinya sendiri, yang membuat sumber daya pada komputer terutama penggunaan memori menjadi berkurang secara signifikan. Diperlukan suatu penangkal atau antivirus dalam mencegah penyebaran yang lebih jauh dalam sistem komputer. Pada penelitian ini, dilakukan suatu identifikasi virus dengan menggabungkan dua metode yaitu Naïve Bayes Classifier dengan Neural Network. Fitur virus didapatkan dari mengkodekan ciri-ciri dari virus. Untuk klasifikasi awal digunakan metode Naïve Bayes Classifier untuk membagi dua jenis fitur, yaitu virus dan bukan virus. Setelah masuk kedalam jenis virus, maka diklasifikasikan kedalam dua jenis virus yaitu trojan atau worm menggunakan salah satu metode neural network (perceptron). Hasil sistem setelah dilakukan uji coba didapatkan recognition rate tertinggi yaitu sebesar 94.12%.
METODE LOGIKA FUZZY SEBAGAI EVALUASI DISTRIBUSI DAYA LISTRIK BERDASARKAN BEBAN PUNCAK PEMBANGKIT TENAGA LISTRIK Fifi D. Rosalina; Yuniar Farida; Abdulloh Hamid
Jurnal Matematika MANTIK Vol. 2 No. 1 (2016): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (358.001 KB)

Abstract

Evaluation of peak load on the power system is raised very influential on the development of electric power availability in the various provinces. By reviewing the peak load for a year, can be implemented for the evaluation of power generation as a simulation of the electrical energy supply for the future. Evaluating the peak load also depends on several factors such as installed capacity, power capacity, and production at some plants systems. It can be the control of the forces generated on each such PLTA, PLTU, PLTG, and PLTS. Fuzzy logic method is an effective method that can be applied to evaluate peak loads with high accuracy. Thus the fulfillment of the electricity will be met with the desired reliability level. The evaluation of the resulting output can be used as a control for the security of the power system. With the results obtained is the highest error rate reached 60%, and has done training and testing data is as much as 4x to test the parameters of the membership function has been determined by the highest recognize result of 12.5%
Prediksi Cuaca Kota Surabaya Menggunakan Autoregressive Integrated Moving Average (Arima) Box Jenkins dan Kalman Filter Nurissaidah Ulinnuha; Yuniar Farida
Jurnal Matematika MANTIK Vol. 4 No. 1 (2018): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (442.185 KB) | DOI: 10.15642/mantik.2018.4.1.59-67

Abstract

Season changes conditions in Indonesia cause many disasters such as landslides, floods and whirlwinds and even hail. Extreme weather conditions that occur, it is better to remain alert to anticipate the various possibilities that occur and to reduce and minimize the impact that can harm the people. The design of weather prediction system in this research using Autoregressive Integrated Moving Average ARIMA Box Jenkins model and Kalman filter with the aim to predict the increasingly extreme weather of Surabaya city at the end of 2017. In this research, weather prediction focused on humidity, temperature, and velocity wind with results 5 days later. The prediction of Surabaya city weather using ARIMA method - Kalman filter obtained the smallest error goal (error MAPE) of 0.000014 each for the prediction of humidity, 0.000037 for temperature prediction, and 0.0123 for wind speed prediction.
Analisis Strategi Penjualan Stok Spare Part di PT. Fajar Mas Murni Surabaya Ida Purwanti; Yuniar Farida
Jurnal Matematika MANTIK Vol. 4 No. 2 (2018): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (421.37 KB) | DOI: 10.15642/mantik.2018.4.2.100-109

Abstract

This research uses a case study at PT Fajar Mas Murni Surabaya which aims to classify item of spare parts inventory with a BCG matrix approach to determine sales strategy of spare part inventory. The classification results with BCG matrix obtained 6,60% items included in quadrant stars which contributed 80,67% turnover for the company; 15,57% items included in the question marks quadrant which contributed 14,95% turnover for the company; 71,70% items included in the quadrant dogs which contributed only 1,87% turnover for the company; and 6,13% is included in the cash cows quadrant which contributes a 2,50% turnover for the company. The strategy analysis that should be carried out (1) on the stars quadrant is to forecast the sales to maintain the continuity of spare part inventory, (2) on the question marks quadrant is to develop the sales by selling items at a discount so that can increase sales volume and can spend inventory, (3) on the dogs quadrant is to further enhance the promotion activities of these items, (4) on the cash cows quadrant is to maintain sales. Then sales forecasting is carried out on stars quadrant spare parts inventory in 2018 so that continuity is maintained by using the Trend (t) moving average ratio method with Cycle variation (C), Season variation (S), and Irregular movement (I), which obtained MAPE value of 23%. If only using Trend, it obtained greater MAPE value of 27%.
Co-Authors Abdul Muhid Abdulloh Hamid Achmad Teguh Wibowo Adam Fahmi Khariri Afanin Hamidah Ahmad Hanif Asyhar Ahmad Teguh Wibowo Ahmad Zaenal Arifin Ainiyah, Lailatul Akbar, Fadilah Ambadar, Panreshma Rizkha Aris Fanani Auditiyah, Cellyn Desinaini, Latifatun Nadya Diah Ayu Sulistiani Dian C Rini Dian C. Rini Novitasari Dian Yuliati Dwi Puspitasari Efendi, Havid FAJAR SETIAWAN Fanani, Aris Farmita, Mayandah Ferdani, Ayu Fifi D. Rosalina Galuh Andriani Ghina Salsabila Firdaus Hani Khaulasari Husna Nur Laili Ida Purwanti Khasanah, Zhara Shafira Uswatun Latifatun Nadya Desinaini Latifatun Nadya Desinaini Lubab, Ahmad Luluk Mahfiroh LULUK WULANDARI Lutfi Hakim M Mahaputra Hidayat Mahfiroh, Luluk Maulida, Eka Agustina Mayandah Farmita Moh. Hafiyusholeh Moh. Hartono Monike Febriyani Faris Montolalu, Billy Nadiyah, Fithrotun Nanda, Nafa Nur Adifia Novitasari, Dian C Rini Nurfadila, Monika Refiana Nurissaidah Ulinnuha Pramesti, Diah Devi pratiwi, Yuniar Ines Purwanti, Ida Putra Prima Arhandi, Putra Prima Putri Krismadewi Putroue Keumala Intan Saidah, Nayla Fitriyatus Saputra, Yahya Vigo Tri Sari, Dian Candra Rini Novita Sari, Ghaluh Indah Permata Sari, Silvia Kartika Silvia Kartika Sari Silvia Kartika Sari Silvia Kartika Sari Siti Nur Aisah Swantika, Cicik Tiarra Dellaviyanie Muryanto Tiasti, Roro Niken Enggar Utami, Tri Mar'ati Nur Vianti, Febi Wika Dianita Utami Wika Dianita Utami Yuliati, Dian Yusi, Suyesti Zaen, Nanida Jenahara Zaidatun Ni'mah Zainullah Zuhri