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Sistem Prediksi Saham Menggunakan Adaptive Neuro Fuzzy Inference System (Studi Kasus Saham Mingguan PT Astra Agro Lestari,Tbk) Yuniar Farida
Systemic: Information System and Informatics Journal Vol. 2 No. 2 (2016): Desember
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (759.745 KB) | DOI: 10.29080/systemic.v2i2.113

Abstract

Informasi mengenai harga saham sangat dibutuhkan oleh investor karena pembelian saham akan dilakukan pada saat harga rendah dan sebaliknya penjualan saham dilakukan pada saat harga tinggi. Untuk memprediksi perubahan harga-harga saham di setiap periode dapat dilakukan penelitian sebagai acuan bagi investor dan manajemen perusahaan dalam mengambil keputusan. Metode yang digunakan untuk memprediksi yaitu metode Adaptive Neuro Fuzzy Inference System (ANFIS). Pada penelitian ini metode ANFIS diimplementasikan dengan struktur standar ANFIS yaitu lima layer. Namun sebagai data inputan dianalisis menggunakan analisis time series. Kemudian dihitung RSME sistem prediksi tersebut menggunakan data training dan data testing yang diambil secara acak. Hasil perhitungan RSME dalam proses prediksi diharapkan mengetahui pengolahan data untuk time series begitupun untuk mendapatkan error terkecil sebesar 0,001.
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.
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.
Multi Unit Spares Inventory Control-Three Dimensional (MUSIC 3D) Approach to Inventory Management Zaidatun Ni'mah; Yuniar Farida
Jurnal Matematika MANTIK Vol. 5 No. 1 (2019): 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 (353.827 KB) | DOI: 10.15642/mantik.2019.5.1.19-27

Abstract

Inventory control is a series of efforts that need to be done for each company to generate the maximum profit from existing inventory. In this study inventory control was conducted through the Multi-Unit Spares Inventory Control – Three Dimensional (MUSIC 3D) approach at PT Fajar Mas Murni Surabaya using three analysis, namely ABC analysis, SDE analysis, and FSN analysis. The result of ABC analysis show that category A consists of 6 items (3%) which contribute 81% to company income, category B consists of 16 items (8%) which contributes 15% to company income, while category C consists of 190 items (89%) which contribute 4% to company income. The result of SDE analysis shows that category S consists of 127 items (60% of all items), category D consists of 43 items (20% of all items), while category E consist of 42 items (20% of all items). The result of FSN analysis show that category F consists of 15% (7% of all items), category S consists of 41 items (19% of all items) and category N consists of 156 items (74% of all items).
PERAMALAN JUMLAH PENUMPANG PESAWAT DI BANDAR UDARA INTERNASIONAL JUANDA MENGGUNAKAN METODE EXPONENTIAL SMOOTHING EVENT-BASED Yuniar Farida; Suyesti Yusi; Dian Yuliati
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (580.856 KB) | DOI: 10.30598/barekengvol15iss4pp709-718

Abstract

The increase in the number of airplane passengers occurs at certain times, such as Eid al-Adha, Eid al-Fitr, and Christmas holidays. Of course, an excessive rise in the number of passengers can cause extreme flight traffic density so that which can cause flight delays, decreased airport service level performance, and other impacts. This study predicts the number of aircraft passengers at Juanda International Airport using the Exponential Smoothing Event-Based method. The Exponential Smoothing Event-Based method is a forecasting method that considers special events using the Exponential Smoothing method as the initial calculation. This study uses data on the number of passengers from January 2014 to December 2020. From the forecasting model, MAPE is 11.8905%, and MSE is 4202958561.0706, so that the resulting forecast can be categorized as good.
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.
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%.
Implementation of The Open Jackson Queuing Network to Reduce Waiting Time Monike Febriyani Faris; Yuniar Farida; Dian C. Rini Novitasari; Nurissaidah Ulinnuha; Moh. Hafiyusholeh
Jurnal Matematika MANTIK Vol. 6 No. 2 (2020): 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 | DOI: 10.15642/mantik.2020.6.2.83-92

Abstract

Waiting for service is a common thing in-hospital services. The more patients are waiting, the service delay increases, so waiting time in the queue gets longer. In health care in a hospital, a patient will queue several times in more than one queue in a hospital outpatient installation. The case study in this research is the queue system in the hospital's outpatient treatment, implementing an open Jackson queueing network to minimize waiting time. The workstations examined in this study were the registration, pre-consultation, and cardiology poly consultation, and pharmacy. The data is carried out for six days, counting the number of arrivals and departures with each point at intervals of 5 minutes. Applying the Jackson open queue network model, a recommendation was obtained for the hospital to increase employees' numbers. The registration workstation must have four servers; a poly cardiology workstation had three nurses and four doctors, while for pharmacy, had seven employees. With this personnel's addition, patients' total waiting time in the queuing system is approximately 12 minutes/patient. So, it can reduce waiting times in the queueing system that was initially 108 minutes/patient.