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All Journal Jurnal Karya Pendidikan Matematika AKSIOMA: Jurnal Program Studi Pendidikan Matematika Jurnal Matematika Sains dan Teknologi JTAM (Jurnal Teori dan Aplikasi Matematika) JURNAL PENDIDIKAN TAMBUSAI Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Psychology, Evaluation, and Technology in Educational Research EIGEN MATHEMATICS JOURNAL Indonesian Journal of Education and Mathematical Science Square : Journal of Mathematics and Mathematics Education InPrime: Indonesian Journal Of Pure And Applied Mathematics Jurnal Teknik Industri Terintegrasi (JUTIN) Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi FARABI: Jurnal Matematika dan Pendidikan Matematika Mejuajua MATHunesa: Jurnal Ilmiah Matematika Journal of Fundamental Mathematics and Applications (JFMA) Jurnal Teknologi dan Manajemen Industri Terapan Journal Industrial Engineering and Management (JUST-ME) Journal of Artificial Intelligence and Digital Business Journal of Mandalika Literature JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI (JISI) Journal of Engineering and Science Application Jurnal Abdimas Indonesia Jurnal Ilmu Komputer dan Matematika
Ade Ima Afifa Himayati
Universitas Muhammadiyah Kudus
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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APLIKASI PEWARNAAN GRAF DENGAN METODE WELCH POWELL PADA PEMBUATAN JADWAL UJIAN PROPOSAL SKRIPSI PROGRAM STUDI FARMASI UNIVERSITAS MUHAMMADIYAH KUDUS Ade Ima Afifa Himayati; Khoiroh Alfiana; Muhammad Adib Jauhari Dwi Putra; Risqi Utami
JURNAL ILMU KOMPUTER DAN MATEMATIKA Vol 1, No 1 (2020): JURNAL ILMU KOMPUTER DAN MATEMATIKA
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/jikoma.v1i1.974

Abstract

Universitas Muhammadiyah Kudus merupakan perguruan tinggi muhammadiyah di wilayah karesidenan Pati. Pada program studi Farmasi, pelaksanaan ujian skripsi, mahasiswa farmasi pada setiap ujian didampingi oleh dua pembimbing dan satu penguji. Seorang dosen dapat menjadi pembimbing dan penguji pada mahasiswa lebih dari satu, sehingga dalam penusunan jadwal ujian menjadi hal yang harus diperhatikan adalah ketersediaan waktu dosen agar tidak bertubrukan. Penjadwalan manual sangat memungkinkan ditemukan jadwal yang bertubrukan, sehingga pelaksanaan ujian akhir tidak efektif. Permasalahan ini dapat diselesaikan dengan teknik penjadwalan melalui pewarnaan graph dengan metode Welch Powell dengan mensubstitusi mahasiswa dalam titik titik dan dosen sebagai edge. Hasil dari pewarnaan graph dengan metode Welch Powell ini menghasilkan jadwal ujian proposal skripsi pada program studi farmasi yang tidak saling be bertubrukan sehingga ujian akhir mahasiswa dapat efektif.
ESTIMASI PENYEBARAN COVID-19 DI INDONESIA MENGGUNAKAN MODEL PERTUMBUHAN LOGISTIK DENGAN R Khoiroh Alfiana; Ade Ima Afifa Himayati; Muhammad Faudzi Bahari; Azma Rosyida
JURNAL ILMU KOMPUTER DAN MATEMATIKA Vol 1, No 1 (2020): JURNAL ILMU KOMPUTER DAN MATEMATIKA
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/jikoma.v1i1.970

Abstract

Confirmed cases of COVID-19 in Indonesia are current increasing. The cases are spreading at an exponential rate and soon be reached at a peak then decreasing the day after until the daily confirmed cases equal to zero.  Some mathematics models can help estimate the spreading of COVID-19 in Indonesia, such as logistic growth model. In this research, the logistic growth model used to predict the final size then compared the numbers with the confirmed data. The result indicates that the logistic model suits to describe the growth cases of COVID-19 in Indonesia. Estimation of the final size will be approximately  cases until this December.
Pemodelan Pengajuan Klaim Asuransi Sosial Kecelakaan Lalu Lintas Menggunakan Metode ARIMA Khoirun Nisak Syifana; Ade Ima Afifa Himayati; Ivanna Isty Nursani
FARABI: Jurnal Matematika dan Pendidikan Matematika Vol 9 No 1 (2026): FARABI: Jurnal Matematika dan Pendidikan Matematika
Publisher : Program Studi Pendidikan Matematika FKIP UNIVA Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/farabi.v9i1.1430

Abstract

One consequence of the rising number of traffic accidents is the increase in the burden of insurance claims on insurance companies, especially social insurance for traffic accidents. Unexpected fluctuations in claim numbers create challenges for companies, so forecasting is needed to identify future trends in claim numbers. The number of claims submitted is recorded periodically, thereby forming time series data. This allows for the application of time series analysis, such as the Autoregressive Integrated Moving Average (ARIMA) method. This study aims to to model and forecast the number of traffic accident social insurance claims using the ARIMA method. This study utilizes recapitulation data on traffic accident social insurance claim submissions spanning 120 weeks from July 2023 – December 2025. The ARIMA method is employed to identify the optimal ARIMA (p,d,q) model for the data. Analysis results indicate that ARIMA (3,1,0) is the optimal model, with a Mean Squared Error (MSE) of 150,054 and a Mean Absolute Percentage Error (MAPE) of 10,53%. Forecasting results for the next 20 weeks reveals a stable tren in claims. This suggest that there is no significant increase or decrease in insurance claims during the forecast period.
PERANCANGAN STANDARD OPERATING PROCEDURE PENGOPERASIAN MESIN PRODUKSI ROKOK MENGGUNAKAN VALUE STREAM MAPPING Adriyan Yudhistira; Ade Ima Afifa Himayati; Mu'adzah Mu'adzah
Journal Industrial Engineering and Management (JUST-ME) Vol. 7 No. 01 (2026): Journal Industrial Engineering and Management (JUST-ME)
Publisher : Program Studi Teknik Industri Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/just-me.v7i01.207

Abstract

Penelitian ini bertujuan merancang Standard Operating Procedure (SOP) pengoperasian mesin produksi batangan rokok untuk meningkatkan efisiensi aliran produksi di PT. XYZ. Masalah utama yang ditemukan adalah tingginya waktu henti mesin akibat aktivitas menunggu dan pembersihan yang belum terstandarisasi. Metode yang digunakan adalah Value Stream Mapping (VSM) untuk memetakan kondisi keadaan saat ini, mengidentifikasi aktivitas valueadded (VA), non valueadded (NVA), dan perlu tetapi non valueadded (NNVA), serta merancang future state sebagai dasar penyusunan SOP. Hasil penelitian menunjukkan total lead time current state sebesar 1.554,898 detik dengan dominasi aktivitas NNVA sebesar 1.200 detik dan NVA sebesar 300 detik. Melalui penerapan perbaikan berbasis SOP dan standarisasi kerja, aktivitas NVA berhasil dihilangkan dan NNVA berkurang menjadi 720 detik sehingga lead time future state turun menjadi 774,898 detik. terjadi penurunan lead time sebesar 50% yang menunjukkan peningkatan efisiensi produksi secara signifikan. SOP yang dirancang mampu menstandarkan urutan kerja, mengurangi waktu henti mesin, dan meningkatkan kesiapan operator sebelum produksi dimulai.
Prediksi Harga Cabai Merah Berbasis Long Short-Term Memory dan Komparasi ARIMA pada Data Runtun Waktu Alisa Apriliani; Ade Ima Afifa Himayati; Findasari Findasari
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 14 Issue 2 August 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v14i2.39298

Abstract

The price of red chili in Jepara Regency, Central Java, shows high and nonlinear fluctuations due to seasonal factors, weather, and supply dynamics. This instability affects food inflation as well as the income of farmers and traders. This study aims to build a prediction model for red chili prices in Jepara Regency using the Long Short-Term Memory (LSTM) method and compare its performance with the Autoregressive Integrated Moving Average (ARIMA) method. The data used are weekly red chili prices from January 2020 to December 2025, obtained from the official hargajateng.org website. The research steps include data preprocessing, normalization using Min-Max Scaling, forming time series data with a sliding window, training the LSTM model using the Adam optimizer, Mean Squared Error (MSE) as the loss function, a maximum of 200 epochs, batch size of 8, and applying EarlyStopping to get the best model. Performance evaluation was done using Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). The study results show that the LSTM model can follow chili price change patterns well, producing an RMSE of 16,707.02, an MAE of 12,348.54, and a MAPE of 19.31% on the testing data. Additionally, the 16-week forecasting results give an idea of the price trend in the upcoming period. Compared to the ARIMA model, which produced an RMSE of 20,992.15, an MAE of 13,867.26, and a MAPE of 22.70%, the LSTM model shows better prediction performance with lower error rates. The study indicates that the LSTM method is more effective in modeling nonlinear patterns in red chili price data compared to the ARIMA method.
Optimalisasi Penjadwalan Produksi Menggunakan Metode CPM (Critical Path Method) dan Resource Leveling di PT XYZ Rifqi Azwar Annas; Ade Ima Afifa Himayati; Nunung Agus Firmansyah
JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI Vol. 4 No. 3 (2026): Juli : Jurnal Ilmiah Teknik Industri dan Inovasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jisi.v4i3.2214

Abstract

The imbalance in operator allocation and the potential for production delays in the PM11 Emboss Machine manufacturing process at PT XYZ indicate the need for a systematic and efficient scheduling approach. Ineffective scheduling may result in workload fluctuations, uneven resource utilization, and reduced operational performance. This study aims to identify the critical production path using the Critical Path Method (CPM) and balance operator allocation through Resource Leveling. The research used production planning data consisting of 126 operations grouped into six activities. CPM analysis was conducted using POM-QM for Windows to determine the critical path and project duration, while Resource Leveling was performed using Microsoft Project to optimize operator allocation. The results showed that the optimal project duration was 139.66 hours, with the critical path consisting of Frame 1+2+Support Frame and Assy MS Emboss activities. After implementing Resource Leveling, the maximum operator requirement decreased from 17 to 10 operators, the Coefficient of Variation (CV) decreased from 58.35% to 39.10%, and the Standard Deviation decreased from 4.96 to 2.67 without extending project duration. These findings demonstrate that the integration of CPM and Resource Leveling improves scheduling efficiency and supports balanced workload distribution in the PM11 Emboss Machine production process at PT XYZ.
Analisis Komparatif Pendekatan Deterministik dan Probabilistik dalam Prediksi Penyelesaian Jumlah Klaim Asuransi Sosial Kecelakaan Lalu Lintas Dina Amalia Fitri; Ade Ima Afifa Himayati; Ivanna Isty Nursani
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.11269

Abstract

Jumlah penyelesaian klaim asuransi sosial kecelakaan lalu lintas mengalami fluktuasi yang dipengaruhi oleh berbagai faktor, seperti tingkat kecelakaan, mobilitas masyarakat, dan kondisi transportasi. Fluktuasi tersebut menimbulkan ketidakpastian dalam perencanaan cadangan dana klaim dan pengelolaan risiko, sehingga diperlukan metode prediksi yang mampu menghasilkan estimasi secara akurat. Penelitian ini bertujuan membandingkan kinerja metode Double Moving Average (DMA) sebagai pendekatan deterministik dan metode Monte Carlo sebagai pendekatan probabilistik dalam memprediksi jumlah penyelesaian klaim asuransi sosial kecelakaan lalu lintas. Data yang digunakan merupakan data sekunder berupa jumlah penyelesaian klaim bulanan periode Januari 2015 hingga Desember 2025 yang diperoleh dari salah satu instansi penyelenggara asuransi sosial kecelakaan lalu lintas di Provinsi Jawa Tengah. Akurasi hasil prediksi dievaluasi menggunakan Mean Absolute Deviation (MAD), Mean Squared Error (MSE), dan Mean Absolute Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa pada periode pengujian tahun 2025 metode Double Moving Average menghasilkan nilai MAD sebesar 40,58, MSE sebesar 1.859,25, dan MAPE sebesar 8,9%, sedangkan metode Monte Carlo menghasilkan nilai MAD sebesar 80,33, MSE sebesar 9.490,00, dan MAPE sebesar 16,97%. Selain itu, metode Double Moving Average secara konsisten menghasilkan nilai MAD, MSE, dan MAPE yang lebih rendah dibandingkan metode Monte Carlo pada seluruh periode pengujian (2017–2025). Hasil tersebut menunjukkan bahwa metode Double Moving Average memiliki tingkat akurasi yang lebih baik sehingga layak direkomendasikan sebagai metode prediksi untuk mendukung perencanaan cadangan dana klaim, pengelolaan risiko, dan pengambilan keputusan pada perusahaan asuransi sosial.
Analisis Pengendalian Kualitas dengan Metode PDCA dan RCA untuk Menurunkan Cacat Produk Sepatu di PT. XYZ Ilma Nur Hikmah; Ade Ima Afifa Himayati; Cikita Berlian Hakim
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.59520

Abstract

The high level of product defects in the manufacturing industry can reduce product quality and increase production costs due to repeated repair processes. This study aims to identify the dominant types of defects, analyze the factors that cause the defects, and prepare proposals for quality improvements in the shoe production process at PT. XYZ uses the PDCA (Plan-Do-Check-Act) and RCA (Root Cause Analysis) methods. This study uses a mixed methods approach  with a sample of product defect data in the January-June 2025 period. Data was obtained through observation, interviews, documentation, and check sheets. The analysis was carried out using pareto diagrams, fishbone diagrams, and the 5W+1H approach. The results showed that the dominant defects were bonding or glue not sticking by 27% and untidy stitches by 20%. The main factors that cause disability are due to humans, machines, methods, materials, and the work environment. The implementation of the repair resulted in a reduction  in bonding defects  by 25.93% and untidy stitches by 27.78%. Companies are advised to standardize work processes, train operators, maintain machinery regularly, and improve quality control to support continuous improvements.
Application of Runge Kutta Fehlberg (RKF45) Method as a Numerical Analysis to SIR Model of Tuberculosis Transmission in Central Java Nur Alisa; Ade Ima Afifa Himayati; Findasari Findasari
Indonesian Journal of Education and Mathematical Science Vol 6, No 3 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara (UMSU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ijems.v6i3.26789

Abstract

This study uses a three-compartment SIR model to describe the spread of tuberculosis in Central Java. Changes in individuals who are detected, recover, die naturally, and die from tuberculosis affect disease transmission. Numerical simulations are used to validate the analytical results and identify the key parameters that contribute most to disease transmission among susceptible, infected, quarantined, and recovered individuals. The numerical method used is the Runge-Kutta-Fehlberg method. Using this method, a quantitative description of the numbers of susceptible, infected, and recovered individuals is obtained, which can assist the Central Java Health Office in efforts to prevent and control the spread of tuberculosis. The SIR model obtained from the parameter determination is then solved using the Runge-Kutta-Fehlberg method. The results obtained using data from 2021–2023 show initial values of 111,120,397 for Susceptible, 157,024 for Infected, and 38,452 for Recovered, with a birth rate parameter of 0.013043, a natural mortality rate of 0.001287, a tuberculosis mortality rate of 0.041376, a transmission rate from Susceptible to Infected of 0.001411, and a recovery rate from Infected to Recovered of 0.24488 individuals. In the 50th year, there are 35,073,325 Susceptible individuals, the number of Infected individuals is 0.04, and the number of Recovered individuals is 74,774. The number of tuberculosis infection cases decreases from year to year.
Application of the K-Means Algorithm for the Grouping of Regional Income Patterns in Kudus Regency Alif Miftachul Nasikhah; Ade Ima Afifa Himayati; Findasari Findasari
Journal of Engineering and Science Application Vol. 3 No. 2 (2026): Mei-Oktober
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v3i2.39

Abstract

Regional revenue is one of the indicators of regional financial ability that needs to be analyzed to determine the realization of revenue. Analyses that are still descriptive have not been able to group data based on similar characteristics. This study aims to apply the K-Means algorithm to classify the regional income pattern of Kudus Regency based on monthly income realization data. The research uses a quantitative approach with secondary data in the form of the realization of regional revenue in Kudus Regency in 2020–2024 obtained from the Regional Revenue, Finance, and Asset Management Agency (BPPKAD) of Kudus Regency. Data processing is carried out using the RapidMiner application through the Read Excel, Set Role, Normalize, K-Means Clustering, and Performance stages, The number of clusters is set to three (k = 3). The results of the study showed that the K-Means algorithm succeeded in grouping data into three Cluster 0 clusters consisting of 4 data, namely September, October, November, and December. Cluster 1 consists of 1 data, namely August, while Cluster 2 consists of 7 data, namely January, February, March, April, May, June, and July.  Centroid analysis showed that each cluster had different characteristics, while evaluation using Performance Vector yielded a Davies-Bouldin Index value of -0.444 which showed good grouping results based on the RapidMiner evaluation. The results of this study are expected to be supporting information in the evaluation and planning of regional revenue management in Kudus Regency
Co-Authors Achmad Ridwan Achmad Ridwan, Achmad Adriyan Yudhistira Agung Prihandono Alif Miftachul Nasikhah Alisa Apriliani Arlinwibowo, Janu Avira Budianita Azma Rosyida Cikita Berlian Hakim Dhina Cahya Rohim Dina Amalia Fitri Dwi Putra, M. Adib Jauhari Edi Wibowo Suwandi Erik Maurten Firdaus Fathimah Isnina Fatima, Gupita Nadindra Fida Maisa Hana Fifi Endah Irawati Findasari Findasari Findasari Findasari Findasari Harjanti, Agustina Eka Ika Tristanti Ika Tristanti Ilma Nur Hikmah Intan Meila Putri Pertiwi Irma Sari Rahmawati Ivanna Isty Nursani Janu Arlinwibowo Jeki Purnomo Khoiroh Alfiana Khoiroh Alfiana Khoiroh Alfiana, Khoiroh Khoirun Nisak Syifana Lillah, Sabbaha Sinai M. Adib Jauhari Dwi Putra Manggalastawa Manggalastawa Manggalastawa, Manggalastawa Maryatin Maryatin Milad Naufal Akbar Moh Aris Prasetiyanto Muadzah Muadzah Muh Latholiful Minan Muhammad Adib Jauhari Dwi Putra Muhammad Adib Jauhari Dwi Putra Muhammad Aris Prasetyo Muhammad Faudzi Bahari Muhammad Faudzi Bahari Mursidah Mursidah Nuaf Maulana Nugroho Nugraha, Yoga Awalludin Nunung Agus Firmansyah Nunung Agus Firmansyah Nur Alisa Nur Hakimah Nursani, Ivanna Isty Putri Ameliatussholichah Rifqi Azwar Annas Rosita, Melvin Dewi Rosyida, Azma Saharani, Safira Sakna Binta Munaya Sari, Mita Puspita Sofiarini, Ida Ulil Albab Utami, Risqi Widya Cholid Wahyudin Yeni Zakiyatul Ibriyah Yulisetyaningrum Yunita Nur Afifah Yunus Mustaqim Yunus Mustaqim, Yunus Zulfa Laila Khoirun Nisa