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Mengukur Performa Model TSK Fuzzy Logic Menggunakan Faktor Eksternal untuk Peramalan Laju Inflasi Sari, Nadia Roosmalita; Mahmudy, Wayan Firdaus; Wibawa, Aji Prasetya
MATICS Vol 9, No 1 (2017): MATICS
Publisher : Department of Informatics Engineering

Pertumbuhan ekonomi merupakan salah satu tolak ukur menilai perkembangan ekonomi negara. Inflasi merupakan kecenderungan naiknya harga barang secara umum dan terjadi terus-menerus. Sehingga inflasi dapat dijadikan sebagai tolak ukur untuk menilai perkembangan suatu negara. Inflasi merupakan salah satu permasalahan yang sering menjadi topik pembahasan di kalangan pakar ekonomi. Inflasi dapat dipengaruhi oleh berbagai faktor, misalnya pola konsumtif masyarakat yang tinggi. Perekonomian Indonesia akan menurun jika inflasi tidak dikendalikan dengan baik. Untuk mengendalikan laju inflasi dibutuhkan sebuah peramalan terhadap laju inflasi di Indonesia. Hasil peramalan digunakan sebagai informasi bagi pemerintah untuk menyiapkan kebijakan agar laju inflasi tetap dalam keadaan stabil. Penelitian ini mengusulkan Takaghi Sugeno Kang (TSK) fuzzy logic untuk peramalan laju inflasi. Penelitian ini bertujuan untuk mengukur performa sistem dengan menggunakan faktor-faktor yang mempengaruhi laju inflasi. Data yang digunakan pada penelitian ini adalah data historis dan faktor eksternal sebagai parameter. Untuk mengevaluasi hasil peramalan digunakan teknik analisis Root Mean Square Error (RMSE). Hasil penelitian menunjukkan bahwa penggunaan parameter time series dan faktor eksternal CPI memiliki performa sistem yang lebih baik dibandingkan faktor-faktor lain dengan RMSE sebesar 1.328.

Animation Media to Improve Student Learning Results Sari, Nadia Roosmalita
Jurnal Tadris Matematika Vol 1, No 2 (2018)
Publisher : Institut Agama Islam Negeri (IAIN) Tulungagung

Learning methods in schools tend to use lecture and book models as learning media. Whereas at present, technology is growing rapidly. The use of technology as a learning medium is very important to attract students' interest in learning. At the Elementary School level, children still like learning while playing. This research proposes animation as a learning media for students in elementary schools. This media can be used by teachers as learning media. This animation media is expected to attract students' interest in learning, especially in mathematics subjects. In animation, visualization in the form of images moving on the subject of mathematics becomes one of the things that need to be optimized. The purpose of this study was to develop animation learning media as an alternative self-learning tool to help to master mathematics subjects for students and find out the feasibility of products for mathematics learning. The research and development methodology used in this study is Research and Development (R & D). This methodology covers all things related to development to produce quality interactive learning media software. Based on the trial, 81% of media experts, 88% of material experts, 70% of initial field tests, and 93% of field trials were obtained. Based on these results, the animation media for mathematics subjects has been feasible to be used as a medium of self-learning with an average value of 83% validation.

Optimization Improved K-Means on Centroid Initialization process using Particle Swarm Optimization for Tsunami Prone Area Groupings Santika, Gayatri Dwi; Sari, Nadia Roosmalita; S, M Zaki; Mahmudy, Wayan Firdaus
MATICS Vol 10, No 1 (2018): MATICS
Publisher : Department of Informatics Engineering

Tsunami is a high wave caused by tectonic earthquakes, volcanic eruption or landslides in the ocean.Â Indonesia is one of the countries that has thousands of islands. Lots of towns is a city on the banks or waterfront city. Indonesia becomes Tsunami prone areas. Tsunami can affect damage in various sectors, namely land degradation and infrastructure, environmental damage, fatalities, even the psychological impact on the victims themselves. Therefore, it takes a clustering of tsunami-prone areas. The result of clustering can give information to the public to remain alert to the danger of the tsunami. Also, clustering of the tsunami can be used by a government to prepare policies in overcoming the danger of the tsunami. Improved K-Means is an approach that proposed in this study to clustering the tsunami prone areas. In selecting the initial centroid must be done properly to produce a high accuracy. We proposed a method to determine the initial centroid appropriately, so that can increase the accuracy. The proposed method is Particle Swam Optimization (PSO). This study also uses comparison methods, such as K-Means, K-Means Improved, and K-Means Improved PSO. This study uses silhouette coefficient to test the accuracy of the system. The result showed that the proposed method has higher accuracy than the comparison method. Silhouette coefficient generated at 0.99924223 with smaller computing time

Development of Interactive Learning Media for Software Engineering Subject Chapter Process Modeling in Higher Education Sari, Nadia Roosmalita
Letters in Information Technology Education (LITE) Vol 3, No 2 (2020)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

The software development process model or what is commonly called SDLC (Software Development Life Cycle) is one of the Software Engineering (RPL) course materials in the Information Engineering Education (PTI) undergraduate study program where one of the competencies is understanding and knowing the concepts of device engineering software that can be applied in the software development life cycle which is summarized in the material for the SDLC software development process model. This material is the initial material that must be mastered by students to develop quality software. The use of interactive and interesting computer assisted learning media is expected to help the stages of the student learning process properly. This requires an interactive learning multimedia application. The purpose of this research is to develop interactive learning media as an alternative to independent learning tools to assist students in mastering the Software Development Process Model (SDLC) material for students and to find out the feasibility of multimedia application products for learning the Software Development Process Model (SDLC). The research and development methodology used in this research is Research and Development (R&D) with Borg and Gall's development steps which include: (1) Research and data collection; (2) Planning; (3) Development of product drafts; (4) Initial field trials; (5) Revision of trial results (6) Field trials; (7) Product improvement; (8) Field implementation test; (9) Completion of the final product; and (10) Dissemination of implementation. This methodology covers all matters relating to development to produce quality interactive learning media software. Based on the trials, the results obtained were 90.63% from media experts, 98.08% from material experts, 85.46% from initial field trials, 84.56% from field trials, and 86.27% from field implementation trials. The average value obtained is 89% based on the results of the overall data analysis. The conclusion of this research is that the development of multimedia applications for learning the Software Development Process Model (SDLC) is feasible as an independent learning medium. The product produced in this development research is a multimedia application for learning flash-based software development process (SDLC) models.

Enabling External Factors for Inflation Rate Forecasting Using Fuzzy Neural System Nadia Roosmalita Sari; Wayan Firdaus Mahmudy; Aji Prasetya Wibawa; Elta Sonalitha
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 5: October 2017
Publisher : Institute of Advanced Engineering and Science

Inflation is the tendency of increasing prices of goods in general and happens continuously. Indonesia's economy will decline if inflation is not controlled properly. To control the inflation rate required an inflation rate forecasting in Indonesia. The forecasting result will be used as information to the government in order to keep the inflation rate stable. This study proposes Fuzzy Neural System (FNS) to forecast the inflation rate. This study uses historical data and external factors as the parameters. The external factor using in this study is very important, which inflation rate is not only affected by the historical data. External factor used are four external factors which each factor has two fuzzy set. While historical data is divided into three input variables with three fuzzy sets. The combination of three input variables and four external factors will generate too many rules. Generate of rules with too many amounts will less effective and have lower accuracy. The novelty is needed to minimalize the amount of rules by using two steps fuzzy. To evaluate the forecasting results, Root Means Square Error (RMSE) technique is used. Fuzzy Inference System Sugeno used as the comparison method. The study results show that FNS has a better performance than the comparison method with RMSE that is 1.81.

Signature Pattern Recognition using Kohonen Network Nadia Roosmalita Sari; Moh. Zoqi Sarwani; Yudha Alif Aulia; Wayan Firdaus Mahmudy
Knowledge Engineering and Data Science Vol 1, No 2 (2018)
Publisher : Universitas Negeri Malang

A signature is a special form of handwriting that used for human identification process. The current identification process is extremely ineffective. People have to manually compare signatures with the previously stored data. This study proposed SOM Kohonen algorithm as the method of signature pattern recognition. This method has able to visualize high-dimensional data. The image processing method is used in this study in pre-processing data phase. The accuracy of SOM Kohonen was 70 %, indicated the method used was good enough for pattern recognition.

Evolution strategies based coefficient of TSK fuzzy forecasting engine Nadia Roosmalita Sari; Wayan Firdaus Mahmudy; Aji Prasetya Wibawa
International Journal of Advances in Intelligent Informatics Vol 7, No 1 (2021): March 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v7i1.376

Forecasting is a method of predicting past and current data, most often by pattern analysis. A Fuzzy Takagi Sugeno Kang (TSK) study can predict Indonesia's inflation rate, yet with too high error. This study proposes an accuracy improvement based on Evolution Strategies (ES), a specific evolutionary algorithm with good performance optimization problems. ES algorithm used to determine the best coefficient values on consequent fuzzy rules. This research uses Bank Indonesia time-series data as in the previous study. ES algorithm uses the popSize test to determine the number of initial chromosomes to produce the best optimal solution for this problem. The increase of popSize creates better fitness value due to the ES's broader search area. The RMSE of ES-TSK is 0.637, which outperforms the baseline approach. This research generally shows that ES may reduce repetitive experiment events due to Fuzzy coefficients' manual setting. The algorithm complexity may cost to the computing time, yet with higher performance.

Animation Media to Improve Student Learning Results Nadia Roosmalita Sari
Jurnal Tadris Matematika Vol 1 No 2 (2018)
Publisher : Institut Agama Islam Negeri (IAIN) Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/jtm.2018.1.2.145-156

Learning methods in schools tend to use lecture and book models as learning media. Whereas at present, technology is growing rapidly. The use of technology as a learning medium is very important to attract students' interest in learning. At the Elementary School level, children still like learning while playing. This research proposes animation as a learning media for students in elementary schools. This media can be used by teachers as learning media. This animation media is expected to attract students' interest in learning, especially in mathematics subjects. In animation, visualization in the form of images moving on the subject of mathematics becomes one of the things that need to be optimized. The purpose of this study was to develop animation learning media as an alternative self-learning tool to help to master mathematics subjects for students and find out the feasibility of products for mathematics learning. The research and development methodology used in this study is Research and Development (R & D). This methodology covers all things related to development to produce quality interactive learning media software. Based on the trial, 81% of media experts, 88% of material experts, 70% of initial field tests, and 93% of field trials were obtained. Based on these results, the animation media for mathematics subjects has been feasible to be used as a medium of self-learning with an average value of 83% validation.

Pengaruh Promosi, Demografis, Pengalaman, dan Trend terhadap Keputusan Pembelian Produk Apparel Motor "Prostreet" di Tokopedia Arya Wisang Tri Saputra; Nadia Roosmalita Sari
JURNAL PENDIDIKAN DAN KEWIRAUSAHAAN Vol 10 No 3 (2022)
Publisher : STKIP PGRI SITUBONDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47668/pkwu.v10i3.506

Penelitian ini bertujuan menjelaskan pengaruh promosi, demografis, pengalaman dan trend terhadap keputusan pembelian produk apparel motor “Prostreet” di Tokopedia. Metode penelitian yang digunakan adalah kuantitatif dengan jenis penilitian asosiatif yang bertujuan unutk mengetahui hubungan antara dua variable atau lebih.Variabel yang digunakan dalam penelitian ini adalah promosi (X1), demografis (X2), pengalaman (X3), trend (X4) dan keputusan pembelian (Y).Jenis data yang digunakan adalah data primer yang diperoleh dari angket.Populasi dan sampel dalam penelitian ini adalah pembeli produk “Prostreet” di area Jawa Timur dan Jawa Tengah dengan penentuan sampel menggunakan metode purposive sampling.Dalam penelitian ini data dianalisis dengan menggunakan uji asumsi klasik (uji normalitas, uji multikolinearitas, uji heteroskedastisitas, dan uji autokorelasi), uji regresi liner berganda. Hasil penelitiannya menunjukkan bahwa Variabel promosi mempunyai pengaruh signifikan terhadap keputusan pembelian Produk Apparel Motor "Prostreet” di Tokopedia. Hal ini menunjukkan bahwa semakin baik promosi, maka semakin baik pula keputusan pembelian.Variabel demografis mempunyai pengaruh signifikan terhadap keputusan pembelian Produk Apparel Motor "Prostreet” di Tokopedia. Hal ini menunjukkan bahwa semakin baik demografis, maka semakin baik pula keputusan pembelian.Variabel pengalaman mempunyai pengaruh signifikan terhadap keputusan pembelian Produk Apparel Motor "Prostreet” di Tokopedia. Hal ini menunjukkan bahwa semakin baik pengalaman, maka semakin baik pula keputusan pembelian.Variabel trend mempunyai pengaruh signifikan terhadap keputusan pembelian Produk Apparel Motor "Prostreet” di Tokopedia. Hal ini menunjukkan bahwa semakin baik trend, maka semakin baik pula keputusan pembelian. Pengujian secara bersama-sama pada variabel Promosi, Demografis, Pengalaman dan Trendberpengaruh terhadap Keputusan Pembelian Produk Apparel Motor "Prostreet” di Tokopedia.

MANAJEMEN KEUANGAN USAHA MIKRO KECIL DAN MENENGAH UNTUK MENINGKATKAN AKUNTABILITAS PADA USAHA GULA TEBU MERAH DI DUSUN SETONO PUNDUNG, DESA NGADI, KECAMATAN MOJO, KABUPATEN KEDIRI Maria Ulfa; Nadia Roosmalita Sari
Jurnal Penelitian Mahasiswa Ilmu Sosial, Ekonomi, dan Bisnis Islam (SOSEBI) Vol 2 No 2 (2022)
Publisher : Fakultas Ekonomi dan Bisnis Islam, Universitas Islam Negeri Sayyid Ali Rahmatullah Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/sosebi.v2i2.6419

Abstrak: Penelitian ini bertujuan 1) mendeskripsikan manajemen keuangan usaha mikro kecil pada usaha gula tebu merah di Dusun Setono Pundung, Desa Ngadi, Kecamatan Mojo, Kabupaten Kediri. 2) Mendeskripsikan dampak dari probabilitas keuangan usaha mikro kecil dan menengah di Dusun Setono Pundung jika tidak menerapkan prinsip-prinsip manajemen. 3) Mendeskripsikan manajemen keuangan dalam meningkatkan peran akuntabilitas untuk usaha mikro kecil dan menengah pengolahan gula tebu merah di Dusun Setono Pundung, Desa Ngadi, Kecamatan Mojo, Kabupaten Kediri. Penelitian ini menggunakan metode penelitian kualitatif dengan menggunakan pendekatan deskriptif. Data yang digunakan adalah data primer. Metode pengumpulan data menggunakan metode wawancara dan observasi. Analisis data dilakukan melalui reduksi data, penyajian data dan penarikan kesimpulan. Pengecekan keabsahan data mengunakan triangulasi, perpanjangan kehadiran, ketekunan pengamatan dan menggunakan bahan referensi. Hasil penelitian menunjukkan bahwa manajemen keuangan pada usaha mikro kecil dan menengah terhadap usaha tebu merah di Desa Ngadi belum memenuhi standar manajemen keuangan dan akuntansi pada umumnya. Proses manajemen UMKM yang digunakan meliputi: perencanaan di dalam UMKM pengolahan gula tebu merah merupakan proses pembelian bahan baku dan proses pembuatan gula sehingga dari proses tersebut diperoleh keuntungan. Dampak dari probabilitas UMKM di Dusun Setono Pundung jika tidak menerapkan prinsip-prinsip meliputi: sistem jam kerja melebihi batas waktu, pemberian gaji tidak tepat waktu, tidak ada pelaporan keuangan. Manajemen keuangan dalam meningkatkan peran akuntabilitas dapat disimpulkan bahwa UMKM pengolahan gula tebu merah ini sudah dikatakan akuntabel karena dalam usaha tersebut sudah memenuhi 4 indikator yaitu adanya kesesuaian antara pelaksana dengan standar prosedur pelaksanaan, adanya sanksi yang ditetapkan atas kesalahan, kendala dalam pelaksanaan kegiatan, sistem pemantauan kinerja. Kata Kunci: Akuntabilitas; Manajemen Keuangan; Probabilitas. Abstract: Research objectives: 1) Describe the financial management of micro and small businesses in the brown sugar cane business in Setono Pundung Hamlet, Ngadi Village, Mojo District, Kediri Regency. 2) Describe the impact of the financial probabilities of micro, small and medium enterprises in Setono Pundung Hamlet if they do not apply the principles-management principles. 3) Describe financial management in increasing the role of accountability for micro, small and medium enterprises processing brown sugar in Setono Pundung Hamlet, Ngadi Village, Mojo District, Kediri Regency. This study uses qualitative research methods using a descriptive approach. The data used primary data. Methods of data collection using interviews and observation. Data analysis was carried out through data reduction, data presentation, and conclusion drawing. Checking the validity of the data using triangulation, the extension of attendance, the persistence of observations, and using reference materials. The results showed that financial management in micro, small and medium enterprises in the red sugar cane business in Ngadi Village did not meet financial management and accounting standards in general. This is because the management process in MSMEs that is used includes: planning MSMEs processing brown sugar cane the process of purchasing raw materials and the process of making sugar so that from this process you get a profit. The impact of the probability of MSMEs in Setono Pundung hamlet is if they do not apply the principle including a system of working hours that exceeds the time limit, the provision of salaries is not on time, and there is no financial reporting. Financial management in increasing the role of accountability can be concluded that MSMEs processing brown sugar cane have been said to be accountable because the business has met 4 indicators, namely the suitability between the implementer and standard implementation procedures, the sanctions imposed for errors, obstacles in the implementation of activities, the system performance monitoring. Keywords: Accountability; Financial Management; Probability.

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