Article Per Year (5 Year)
p-Index From 2021 - 2026
4.197
P-Index
This Author published in this journals
All Journal International Journal of Advances in Applied Sciences Pythagoras: Jurnal Matematika dan Pendidikan Matematika Jurnal Ilmu Dasar Kontinu: Jurnal Penelitian Didaktik Matematika Jurnal Teknologi Informasi dan Ilmu Komputer Indonesian Journal of Applied Statistics Journal of Mathematics and Mathematics Education (JMME) BAREKENG: Jurnal Ilmu Matematika dan Terapan Business Innovation and Entrepreneurship Journal TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Applied Data Sciences Jurnal Pengabdian kepada Masyarakat Journal of Informatics Management and Information Technology Konstelasi: Konvergensi Teknologi dan Sistem Informasi Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Prosiding Seminar Nasional Official Statistics Prosiding Simposium Nasional Multidisiplin (SinaMu) International Journal of Computing Science and Applied Mathematics-IJCSAM
Zukhronah, Etik
Universitas Sebelas Maret
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 27 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 27 Documents
Search

 1   2   3 
Application of Generalized Space Time Autoregressive Model on Farmer Exchange Rate Data in Three Provinces of The Sumatera Island Aryani, Fadhilatul Nida; Handajani, Sri Sulistijowati; Zukhronah, Etik
Jurnal ILMU DASAR Vol 21 No 2 (2020)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v21i2.17226

Abstract

The agricultural sector has a big role in the development of the Gross Regional Domestic Product (GDP). Therefore the agricultural sector is very important. Besides the agricultural sector, the farmer's welfare also needs to be considered because the agricultural sector will be good if the welfare of farmers is good also. In measuring the level of farmers' welfare, the method used is the farmer's exchange rate. The farmer's exchange rate has a location relationship and a previous time relationship. The Generalized Space-Time Autoregressive (GSTAR) model is a good method of forecasting data that contains time series and location relationships by assuming that the data has heterogeneous characteristics. The purpose of this study is to model the farmer exchange rate data with GSTAR using normalization of cross-correlations weighting and inverse distance in three provinces namely West Sumatra, Bengkulu and Jambi Provinces. Based on data analysis, the best GSTAR model obtained by using the best weighting with the model is GSTAR (11) − I(1) using normalization of cross-correlations because the assumption of normal white noise and multivariate are fulfilled with an RMSE value of 1.097775. The best GSTAR model explains that the exchange rate of West Sumatra farmers is only the previous time, Bengkulu farmers' exchange rate is the previous time and is the exchange rates of farmers of West Sumatra and Jambi, whereas for the exchange rate of farmers of Jambi is the exchange rates of farmers of Bengkulu and West Sumatra and influenced by previous times.Keywords: GSTAR, RMSE, farmers exchange rate, normalization of cross-correlations, inverse distance.
Implementasi High Order Intuitionistic Fuzzy Time Series Pada Peramalan Indeks Harga Saham Gabungan Nugraha, Titis Jati; Sulandari, Winita; Slamet, Isnandar; Subanti, Sri; Zukhronah, Etik; Sugianto, Sugianto; Susanto, Irwan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 2: April 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20241127363

Abstract

Indeks Harga Saham Gabungan (IHSG) adalah indeks yang mengukur kinerja harga semua saham yang terdaftar di Bursa Efek Indonesia (BEI) Peramalan IHSG menjadi referensi bagi investor untuk memperoleh keuntungan di pasar modal. Penelitian ini membahas penerapan metode High Order Intuitionistic Fuzzy Time Series (HOIFTS) dalam peramalan IHSG di BEI. Metode HOIFTS melibatkan tiga indikator, yaitu derajat keanggotaan, derajat non- keanggotaan, dan fungsi skor (indeks intutionistic) sehingga model yang dihasilkan mampu menangani ketidakpastian dalam data. Tahapan penting dalam pemodelan HOIFTS adalah pada fuzzifikasi intuitionistic, penentuan relasi logika fuzzy intutionistic, dan proses defuzifikasi order tinggi intuitionistic. Penelitian ini menetapkan metode Chen, baik order satu maupun order tinggi sebagai metode pembanding untuk melihat seberapa jauh keberhasilan metode HOIFTS dalam meramalkan data bulanan IHSG. Hasil perbandingan nilai RMSE (root mean square error) dan MAPE (mean absolute percentage error) yang dihasilkan oleh ketiga model menunjukkan bahwa metode HOIFTS memiliki nilai kesalahan yang paling kecil. Dengan demikian, metode HOIFTS lebih direkomendasikan dalam peramalan IHSG dibandingkan dua metode lain yang dibahas dalam penelitian ini. 
Peramalan Banyak Penumpang dari Pelabuhan Belawan Menggunakan Model Arimax dengan Efek Variasi Kalender Effendi, Arfiyansyah Rizki; Zukhronah, Etik; Sugiyanto, S
Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya 2019: Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.238 KB)

Abstract

Peramalan merupakan salah satu upaya untuk memperkirakan apa yang akan terjadi pada masa mendatang berdasarkan data masa lalu. Banyak penumpang di Pelabuhan Belawan merupakan data runtun waktu. Pola data banyak penumpang di Pelabuhan Belawan sangat dipengaruhi oleh hari libur, sehingga cenderung mempunyai pola musiman. Mayoritas penduduk Indonesia beragama Islam yang mempunyai Hari Raya Idul Fitri. Penentuan Hari Raya Idul Fitri tidak mengikuti kalender masehi, tetapi berdasarkan kalender Hijriah. Perbedaan penggunaan kalender masehi dan hijriah pada suatu data runtun waktu menyebabkan adanya variasi kalender. Data yang mengandung variasi kalender dapat dianalisis menggunakan model ARIMAX. Penelitian ini bertujuan untuk memperoleh model ARIMAX terbaik dan meramalkan banyak penumpang dari Pelabuhan Belawan beberapa periode ke depan. Hasil penelitian menunjukkan bahwa model ARIMAX (0,0,1) Vt,Vt+1,Ss,t; s=1,2,...,12 merupakan model terbaik. Berdasarkan model tersebut dapat diramalkan dari bulan September 2018 sampai Agustus 2019 secara berturut turut adalah 5357, 2448, 1849, 5634, 12894, 4410, 4195, 3724, 4339, 10448, 13499, 4084 penumpang.
Peramalan Harga Minyak Mentah Indonesia dengan Model Hibrida ARIMA–FTS Cheng Kusuma, Erin Jihan Wahyu; Zukhronah, Etik; Susanti, Yuliana
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.629

Abstract

Economic growth is a key indicator of successful economic activities, with adequate crude oil availability playing a crucial role in supporting a country's economic development. This study aims to forecast Indonesian crude oil prices using an Autoregressive Integrated Moving Average (ARIMA)–Fuzzy Time Series (FTS) Cheng hybrid model. The data utilized consists of monthly Indonesian crude oil prices from January 2013 to April 2023 for training and from May 2023 to December 2024 for testing. The training data is modeled using ARIMA, and the residuals from the ARIMA model are subsequently analyzed using the FTS Cheng approach. The hybrid ARIMA-FTS Cheng forecast is generated by combining the predictions from both the ARIMA and FTS Cheng models. The results of the study show that the hybrid ARIMA–FTS Cheng model produced an MAPE of 7.46% on the training data and 4.57% on the testing data. Therefore, the ARIMA–FTS Cheng hybrid model is considered suitable for forecasting Indonesia's crude oil prices.
PENINGKATAN LITERASI STATISTIKA : MEWUJUDKAN SANTRI CERDAS SEBAGAI UPAYA OPTIMALISASI ZAKAT DAN PEMBERDAYAAN POTENSI UMMAT Slamet, Isnandar; Zukhronah, Etik; Sulandari, Winita; Subanti, Sri; Sugiyanto, Sugiyanto; Susanto, Irwan; Isnaini, Bayutama; Afanyn Khoirunissa, Husna; Adi Wicaksono, Nanda; Indra Raditya , Dionisius
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 3: Agustus 2025
Publisher : Bajang Institute

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

Abstract

Pemberdayaan Potensi Ummat”. Tujuan utama kegiatan adalah membekali peserta dengan pengetahuan dasar statistika sebagai alat berpikir rasional dan analitis, serta memperkuat kesadaran akan kewajiban dan keutamaan (fadhilah) zakat dalam kehidupan sosial-keagamaan. Kegiatan diikuti oleh 114 peserta, terdiri dari 102 santri dan 12 ustadz. Materi yang disampaikan meliputi statistika dasar, konsep kewajiban zakat menurut syariat Islam, serta fadhilah zakat dalam rangka pemberdayaan umat. Tim pengabdian berasal dari Grup Riset Statistika dan Sains Data Bidang Industri dan Ekonomi, Universitas Sebelas Maret (UNS). Metode pelaksanaan meliputi pre-test, penyampaian materi secara interaktif, praktik pengolahan data sederhana, diskusi aplikatif, dan post-test. Hasil evaluasi menunjukkan peningkatan signifikan pada pemahaman peserta terhadap materi yang disampaikan. Kegiatan ini diharapkan menjadi langkah awal dalam membentuk generasi santri yang cerdas secara statistik, sadar zakat, dan siap berkontribusi dalam penguatan ekonomi umat berbasis pesantren.
Perbandingan Hasil Peramalan Uang M1 di Indonesia Menggunakan Metode SARIMA dan Metode SVR Zukhronah, Etik; Hidayah, Nurrul; Susanto, Irwan
TIN: Terapan Informatika Nusantara Vol 6 No 2 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i2.7638

Abstract

M1 money is the most liquid form of money supply because all its components (currency and giral) can be directly used for daily transactions and reflect the dynamics of public consumption. M1 money forecasting is necessary to anticipate its fluctuations that can affect price stability and inflation. This study aims to compare the results of M1 money forecasting with the Seasonal Autoregressive Integrated Moving Average (SARIMA) and Support Vector Regression (SVR) methods. The M1 Money data is divided into two, 80% training data from January 2010 to February 2021 and 20% testing data from March 2021 to December 2023. SARIMA and SVR modeling were carried out separately and then the best model was selected based on the smallest Mean Absolute Percentage Error (MAPE). The results of the study found that the best SARIMA model is SARIMA (1,1,0)(1,1,0)₁₂ with a MAPE of 2,250%, while the best SVR model uses a linear kernel with optimal hyperparameters C=100; ε=0,001; and γ=0,001 resulting in a MAPE of 2,254%. Thus, the SARIMA model has a better level of accuracy in predicting M1 money in Indonesia. The application of this model in predicting is expected to help related parties in evaluating the direction of monetary policy and understanding economic conditions.
HYBRID MODEL OF SINGULAR SPECTRUM ANALYSIS WITH AUTOREGRESSIVE INTEGRATED MOVING AVERAGE AND FUZZY TIME SERIES FOR INDONESIAN CRUDE PRICE FORECASTING Zukhronah, Etik; Sulandari, Winita; Ilahi, Esa Permata Sari Putri
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1519-1526

Abstract

This study discusses a hybrid model of Singular Spectrum Analysis (SSA) with Autoregressive Integrated Moving Average (ARIMA) and Fuzzy Time Series (FTS) for forecasting the Indonesian Crude Price (ICP). SSA is considered to capture the deterministic component of the data while the ARIMA and FTS are to represent the stochastics one. The data that used in this study are ICP per month from January 2017 to May 2023. The data from January 2017 to December 2022 are used as insample data, while the data from January to May 2023 are used as outsample data. The insample data is firstly modeled by SSA and the residuals are then modeled by ARIMA, referred to as the hybrid SSA-ARIMA. By the same procedure, the hybrid SSA-FTS model is also constructed to the insample data. Based on the experiment, the hybrid SSA-ARIMA produces Mean Absolute Percentage Error values 8.08% for an insample and 7.10% for an outsample data. These values are less than those obtained by hybrid SSA-FTS. Therefore, the hybrid SSA-ARIMA is recommended for forecasting the monthly ICP.
EFFICIENCY AND ACCURACY OF CONVOLUTIONAL AND FOURIER TRANSFORM LAYERS IN NEURAL NETWORKS FOR MEDICAL IMAGE CLASSIFICATION Nafi'udin, Fauzi; Pratiwi, Hasih; Zukhronah, Etik
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2387-2396

Abstract

In an era where information flow is moving at a rapid pace, image data processing is becoming increasingly important as technology advances, including in healthcare. Convolutional Neural Network (CNN) has been a common approach in image classification, but the larger the volume of data and the complexity of the task, the more expensive the computational cost of CNN. With the rapid growth in the amount of image data, efficiency in data processing is becoming increasingly important. In this study, the performance of neural network models using the convolution layer and Fourier transform layer in medical image data classification was compared. The results show that models with a Fourier transform layer tend to provide higher accuracy and better Area Under Curve (AUC) compared to models using a convolution layer. In addition, the model with the Fourier transform layer also shows faster execution time per epoch, which indicates efficiency in data processing. However, the convolution layer has an advantage in terms of model size, although it is not significantly different from the Fourier transform layer. In conclusion, the Fourier transform layer has an advantage in the classification of medical image data.
SOLUSI CERDAS PENGELOLAAN SAMPAH KEPADA IBU-IBU PKK DI RT 23, RW 06 TLOBONGAN BENTAK, SIDOHARJO, SRAGEN Sri Subanti; Isnandar Slamet; Etik Zukhronah; Sugiyanto, Sugiyanto; Irwan Susanto; Winita Sulandari
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1: Juni 2024
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v4i1.7961

Abstract

Pengelolaan sampah adalah proses yang terstruktur, komprehensif, dan berkelanjutan yang mencakup pengelolaan dan proses reduksi sampah. Tata kelola sampah harus dilakukan secara terintegrasi dari asal hingga ke akhir agar dapat menghasilkan keuntungan secara ekonomi, perlindungan kesehatan lingkungan, dan perubahan perilaku masyarakat. Berdasarkan survei lapangan tim pengabdian Hibah Grup Riset (HGR), ibu-ibu PKK yang berlokasi di Tlobongan RT 23 RW 06 Bentak, Sidoharjo, Sragen mengalami permasalahan berkaitan dengan pengelolaan sampah. Permasalahan yang ada antara lain: banyaknya produksi sampah harian, kurangnya edukasi mengenai cara mengelola sampah, dan sampah yang terkumpul tidak dipilah. Berdasarkan analisis permasalahan mitra, tim pengabdian HGR telah memberikan solusi cerdas yaitu melalui pembuatan tempat penampungan sampah/bank untuk pemilahan sampah organik dan sampah anorganik dengan tujuan meminimalisir pencemaran lingkungan dan kegiatan pendampingan penyusunan tata prosedur pemilahan sampah organik dan anorganik
PENGELOLAAN SAMPAH DI GEDUNG TPA QURROTA A'YUN DUKUH TLOBONGAN, BENTAK, SIDOHARJO, SRAGEN Isnandar Slamet; Winita Sulandari; Irwan Susanto; Etik Zukhronah; Sugiyanto, Sugiyanto; Sri Subanti; Adigama Tri Nugraha; Aji Susanto
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 4: September 2024
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v4i4.8472

Abstract

Pengelolaan sampah di Indonesia menghadapi tantangan besar akibat urbanisasi dan pertumbuhan populasi yang pesat, dengan sebagian besar sampah dibuang tanpa proses pengolahan yang memadai. Penelitian ini bertujuan meningkatkan kesadaran dan perilaku positif dalam pengelolaan sampah di TPA Qurrota A'yun melalui pendidikan karakter dan solusi pintar. Metode yang digunakan mencakup survei awal, penyusunan materi, sosialisasi, penyediaan fasilitas tempat sampah, serta pelatihan dan praktek langsung. Hasil survei awal menunjukkan rendahnya pengetahuan dan kesadaran peserta tentang pengelolaan sampah. Setelah sosialisasi, terjadi peningkatan signifikan dalam pemahaman dan perilaku peserta, dengan 50% membuang sampah di tempat yang sesuai dan 87,5% mengetahui cara memilah sampah. Kesadaran lingkungan juga meningkat menjadi 96,9%. Dampak positif terlihat dari lingkungan yang lebih bersih dan peningkatan kesadaran lingkungan serta pendidikan karakter. Hasil ini menegaskan pentingnya pendidikan dan fasilitas yang memadai dalam pengelolaan sampah yang berkelanjutan.
Co-Authors Adi Wicaksono, Nanda Adigama Tri Nugraha Agung Setyabudi, Arriza Aji Susanto Aprilia, Nabila Churin Aryani, Fadhilatul Nida Atika Amalia Brilianto, Maximilianus Noel Dewi Retnosari Dina Rohmah Dyah Auliya Agustina Effendi, Arfiyansyah Rizki Fhadilla, Nahdatul Fransisca Trisnani Ardikha Putri Handajani, Sri Sulistijowati Hidayah, Nurrul Hizkia Yotant Pradana Husna Afanyn Khoirunissa Ilahi, Esa Permata Sari Putri Indra Raditya , Dionisius Irwan Susanto Irwan Susanto Isnaini, Bayutama Isnandar Slamet Isnandar Slamet Isnandar Slamet Isnandar Slamet, Isnandar Kadar, Jimmy Abdel Kusuma, Erin Jihan Wahyu Martina Hilda Melati Anggiasari Muhammad Zidni Subarkah Nabila Churin Aprilia Nafi'udin, Fauzi Nirwana, Muhammad Bayu Nugraha, Titis Jati Parahita, Syifa’ Salsabila Gita Pardede, Hilman Ferdinandus Pratiwi, Afita Ulya Pratiwi, Hasih pratiwi, hasih S Sugiyanto Solikhah Novita Intan Sri Subanti Sri Sulistijowati Handajani Sugianto Sugianto Sugiyanto - Sugiyanto Sugiyanto Sugiyanto Sugiyanto Sugiyanto, Sugiyanto Sulandari, Winita Supriyadi Wibowo Susilotomoa, Dhestahendra Citra Tito Tatag Prakoso Winita Sulandari Winita Sulandari Yuliana Susanti Yuliana Susanti, Yuliana Yulvia Fitri Rahmawati