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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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Pengaruh Investasi Terhadap Pertumbuhan Ekonomi Jawa Timur Tiarra Dellaviyanie Muryanto; Yuniar Farida; Nurissaidah Ulinnuha; Hani Khaulasari; Dian Yuliati
Jurnal Matematika Integratif Vol 18, No 2: Oktober 2022
Publisher : Department of Matematics, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (332.005 KB) | DOI: 10.24198/jmi.v18.n2.40732.157-166

Abstract

Pada masa pandemic Covid-19, pertumbuhan ekonomi Indonesia sempat mengalami penurunan. Hal ini juga terjadi pada beberapa daerah seperti Jawa Timur. Salah satu faktor yang berpengaruh terhadap pertumbuhan ekonomi adalah investasi, baik itu investasi asing (PMA) maupun investasi dalam negeri (PMDN). Penelitian ini bertujuan untuk menganalisis pengaruh PMDN dan PMA terhadap pertumbuhan ekonomi Jawa Timur. Metode yang digunakan dalam penelitian ini yaitu regresi linear berganda dengan estimasi parameter OLS (Ordinary Least Square). Metode OLS merupakan suatu metode regresi dengan meminimalkan nilai error kuadratnya. Hasil yang diperoleh pada penelitian ini yaitu PMDN berpengaruh terhadap pertumbuhan ekonomi secara signifikan sedangkan PMA tidak berpengaruh terhadap pertumbuhan ekonomi. Model menghasilkan R2 sebesar 53.7%. Penelitian ini diharapkan dapat memberikan informasi yang berguna bagi pengambil kebijakan untuk meningkatkan pertumbuhan ekonomi melalui investasi.
Evaluation of Food Security Area of East Java Province Using Fuzzy C-Means (FCM) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Yuniar Farida; Ghina Salsabila Firdaus; Ahmad Teguh Wibowo; Silvia Kartika Sari; Latifatun Nadya Desinaini
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 17, No 4 (2023): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.82297

Abstract

The formation of quality human resources cannot be separated from food, as nutritional intake affects human performance and health. As time increases, the number of residents increases to increase food needs. The ability of a region to meet food needs in its territory is different from other regions. This study aims to classify regions in East Java Province based on food security and determine areas with the best and lowest food security. The method used is the Fuzzy C-Means (FCM) and TOPSIS methods.This research uses criteria based on the Food Security Index compiled by the Food Security Agency. The results of regional clustering using FCM selected the best cluster using three clusters for all requirements, except in food utilization in the city using five clusters. Furthermore, from the clustering results, clustering and cluster members use TOPSIS and produce Magetan regency and Madiun city as areas with the highest food security. At the same time, the lowest food securities are Probolinggo regency and Kediri city.
Pendampingan Guru Madrasah untuk Mewujudkan Kompetensi Pedagogik Guru Matematika yang Berdaya Melalui Penguasaan Soal High Order Thinking Skills (HOTS) Moh Hafiyusholeh; Ahmad Lubab; Ahmad Hanif Asyhar; Aris Fanani; Yuniar Farida; Dian C. Rini Novitasari; Nurissaidah Ulinnuha; Putroue Keumala Intan; Wika Dianita Utami; Zainullah Zuhri; Ahmad Zaenal Arifin; Dian Yuliati; Abdulloh Hamid
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2020): May 2020
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/engagement.v4i1.97

Abstract

High Order Thinking Skills (HOTS) is the ability to connect, manipulate, and change the knowledge and experience that is owned critically and creatively in determining decisions to solve problems in new situations. To include HOTS questions in a learning process is an obstacle for Madrasah teachers, including teachers of PC. LP. Maarif NU Lamongan. This community service aimed at improving the pedagogical competence of mathematics teachers of PC. LP. Maarif NU Lamongan. Community-Based Research (CBR) was employed through workshop and training administered by the Mathematics Study Program of UIN Sunan Ampel Surabaya in designing and completing high order thinking questions followed by assistance. The results indicated that the ability of Madrasah teachers to solve HOTS questions as well as its implementation in classroom teaching and learning activities improved significantly.
Economic Empowerment of Housewives Based on OPOR (One Product in One RT) in Pojok Village of Magetan Regency, Using the Asset-Based Community-Driven Development (ABCD) Approach Yuniar Farida; Wika Dianita Utami; Aris Fanani; Latifatun Nadya Desinaini; Silvia Kartika Sari
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol 6 No 1 (2022): May 2022
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v6i1.1161

Abstract

Nowadays, the improvement in resources, especially among women, is considered. One of the efforts to empower women in the village can be done through the assistance of Micro, Small, and Medium Enterprises (MSMEs). This research-based community service aims to assist the community, especially women (housewives) in Pojok Village of Magetan Regency, in developing home businesses. This community service is carried out by using ABCD approach, which is an approach to understanding and internalizing assets, potential, strength, and utilization independently and optimally. The results of the community service carried out by researchers have positive impact to the community and it fosters a high desire and enthusiasm to make changes for the better in the development of marketing businesses, both during the mentoring process and post-mentoring so that the economy in Pojok Village, Magetan Regency can increase
Perbandingan Metode Extreme Learning Machine (ELM) dan Kernel Extreme Learning Machine (KELM) Pada Klasifikasi Penyakit Cedera Panggul Aisah, Siti Nur; Dian Candra Rini Novitasari; Farida, Yuniar
Jurnal Fourier Vol. 12 No. 2 (2023)
Publisher : Program Studi Matematika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/fourier.2023.122.69-78

Abstract

Nyeri punggung bawah merupakan sebuah masalah kesehatan yang umum terjadi di dunia dan termasuk penyebab utama kecacatan.  Di Indonesia  pada tahun 2019 Hernia menduduki peringkat kedelapan penyakit terbanyak dengan jumlah kasus 292.145. Selain Hernia ganguan atau penyakit yang terjadi pada tulang panggul juga disebabkan karena menderita penyakit Spondylolithesis. Penelitian ini bertujuan untuk mengklasifikasi penyakit cedera panggul menggunakan Extreme Learning Machine (ELM) dan Kernel Extreme Learning Machine (KELM). Hasil uji coba terbaik yaitu dengan Nilai akurasi, sensitivitas dan spesifitas yaitu 90.25%, 88.66%, dan 92.22% untuk metode KELM.
Forecasting Population of Madiun Regency Using ARIMA Method Farida, Yuniar; Farmita, Mayandah; Ulinnuha, Nurissaidah; Yuliati, Dian
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 7, No 3 (2022): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v7i3.16156

Abstract

The high population growth of the Madiun Regency can cause population density that can have implications for other problems, both in terms of social, economic, welfare, security, land availability, availability of clean water, and food needs. This study aims to predict the population growth of Madiun Regency using the ARIMA method. The ARIMA (Autoregressive Integrated Moving Average) method is popular for forecasting time series data, which is reliable because the calculation process is done gradually. This study uses annual population data of Madiun Regency from 1983 to 2021 and produces an ARIMA forecasting model (0,2,1) with a MAPE value of 8.42%. The results of this study are expected to be used as information from the Madiun Regency government in anticipating the emergence of problems caused by the population level of Madiun Regency in the future.
Implementation of Capital Asset Pricing Model in Optimal Portfolio Formation on IDX High Dividend 20 Auditiyah, Cellyn; Farida, Yuniar; Utami, Wika Dianita
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 1 (2025): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i1.27799

Abstract

The IDX High Dividend 20 (IDX HIDIV20) is an Indonesian stock index known for its high dividend payouts, appealing to passive income investors. However, annual changes and fluctuating stock prices present challenges, necessitating diversification strategies. This study aims to create an optimal portfolio to balance returns and risks amidst market volatility on the IDX High Dividend 20 stock index. This research uses the Capital Asset Pricing Model (CAPM) method. The CAPM determines the relationship between risk and an asset's expected rate of return, especially shares. This model helps in evaluating whether an asset or investment provides sufficient returns commensurate with its risk. In this study. We used weekly stock price data and composite stock prices from Yahoo Finance and BI interest rates taken from Bank Indonesia from January 2020 to December 2023. The research findings found that there were 6 out of 12 samples forming the optimal portfolio, namely ITMG (28.0%), ADRO (16.6%), BMRI (29.2%), BBNI (13.7%), BBCA (11.8%), and BBRI (0.6%) with a portfolio return of 0.41% and a portfolio risk level of 0.16%. The study emphasizes the importance of diversification for investors, particularly in volatile markets, to manage risks and enhance returns. It also highlights the strategic value of investing in high-dividend stocks for consistent income and portfolio stability, offering practical insights for optimizing investment strategies.
PEMODELAN ARUS LALU LINTAS DAN WAKTU TUNGGU TOTAL OPTIMAL DI PERSIMPANGAN JL. JEMUR ANDAYANI AHMAD YANI SEBAGAI UPAYA MENGURAI KEMACETAN Farida, Yuniar; Fanani, Aris; Purwanti, Ida; Wulandari, Luluk; Zaen, Nanida Jenahara
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 3 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (958.491 KB) | DOI: 10.30598/barekengvol14iss3pp387-396

Abstract

One crossroad of ​​Surabaya whose high level of congestion is the crossing of Jemur Andayani – Ahmad Yani Street. It needs to Improve traffic management, geometric, and signal time to obtain optimal traffic performance. The purpose of this study is to make a model of traffic flow and determine the optimal total waiting time at the crossing of Jemur Andayani – Ahmad Yani using Compatible Graph. Compatible graphs are two sets where vertices indicate objects to be arranged and edges indicate compatible pairs of objects. Compatible traffic flow is two traffic flows which if both of them run simultaneously can run safely and not collide. The results of the optimal waiting time calculation using a compatible graph assuming the left turn following the lamp is 75 seconds. While the optimal total waiting time by assuming the left turn not following the lights is 60 seconds. The optimal total waiting time is smaller than the actual total waiting time currently applied at Frontage Ahmad Yani street, which is 170 seconds by assuming turn left following the lights.
Implementation of LSTM Method on Tidal Prediction in Semarang Region Ambadar, Panreshma Rizkha; Novitasari, Dian C Rini; Farida, Yuniar; Hafiyusholeh, Moh; Setiawan, Fajar
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.8932

Abstract

Semarang is the capital of the Central Java province, located in the north and directly adjacent to the Java Sea. Having an almost flat land condition with a slope of about 0-2%, Semarang City has the opportunity to experience tidal flooding. The occurrence of tides does not have a fixed period. So, it is necessary to predict the height of the tide and the ebb of the seawater. Thus, this research aims to predict tides in the Semarang area using the LSTM method. The data used is tidal data in Semarang waters from 2020 to 2024. The advantage of the LSTM method is its ability to effectively remember time series data or data with long-term dependence. LSTM can store past information using special cells contained in its structure. This research on tidal prediction using the LSTM method with 70% training data trial batch size 32 and epoch 200 obtained the smallest error value, namely the MAE value of 0.0388 and MAPE of 0.0313 which is the best LSTM result.
Breast Cancer Classification Based on Mammogram Images Using CNN Method with NASNet Mobile Model Pramesti, Diah Devi; Farida, Yuniar; Novitasari, Dian Candra Rini; Wibowo, Achmad Teguh
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 3 (2025): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.98187

Abstract

In Indonesia, the type of cancer that contributes to the highest death rate is breast cancer, so there is a great need for early examination, clinical examination, and screening, which includes mammography. Mammography is currently the most effective method for detecting early-stage breast cancer. This study aims to classify breast cancer cells based on mammogram images. The method used in this research is CNN (Convolutional Neural Network) with the NASNet Mobile model for classifying three classes: normal, benign, and malignant. The CNN method can learn various input attributes powerfully so that CNN can obtain more detailed data characteristics and has better detection capabilities. This research obtained the most optimal model based on the percentage of accuracy, sensitivity, and specificity values of 99.67%, 98.78%, and 99.35%, respectively. This research can be used to help radiologists as considerations in making breast cancer diagnosis decisions.
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