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All Journal Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Techno.Com: Jurnal Teknologi Informasi CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Matematika & Sains Jurnas Nasional Teknologi dan Sistem Informasi Journal of Information Systems Engineering and Business Intelligence JURNAL PENELITIAN Jurnal Fourier Jurnal Sains Matematika dan Statistika Proceeding of the Electrical Engineering Computer Science and Informatics Sistemasi: Jurnal Sistem Informasi saintis Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) Jurnal Matematika: MANTIK BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Tadbir Muwahhid Wahana : Tridarma Perguruan Tinggi AXIOM : Jurnal Pendidikan dan Matematika DAYAH: Journal of Islamic Education Mathvision : Jurnal Matematika TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Vygotsky: Jurnal Pendidikan Matematika dan Matematika InPrime: Indonesian Journal Of Pure And Applied Mathematics Jurnal Penelitian Tadris: Jurnal Pendidikan Islam STATISTIKA Engagement: Jurnal Pengabdian Kepada Masyarakat Economics Development Analysis Journal Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa Proceeding Of International Conference On Education, Society And Humanity
Moh. Hafiyusholeh
Universitas Islam Negeri Sunan Ampel Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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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.
Implementasi K-Means Clustering Melalui Pemanfaatan Sampling Kombinasi Pada Pengelompokan Pola Kesehatan Mental Mahasiswa Sains dan Teknologi Sari, Firda; Kuntari, Maharani; Yati, Winda; Khaulasari, Hani; Hafiyusholeh, Moh.
Jurnal Nasional Teknologi dan Sistem Informasi Vol 11 No 1 (2025): April 2025
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v11i01.2025.9-16

Abstract

Kesehatan mental merupakan aspek kesehatan penting selain kesehatan fisik. Mahasiswa merupakan individu yang berada pada usia remaja akhir sampai dewasa awal yang pada masa ini akan mengalami tekanan secara emosional karena masalah-masalah sosial, akademik, dan personal. Perlu diadakan pengecekan dini pada kesehatan mental mahasiswa seperti asesmen psikologi yang dilakukan untuk pencegahan gangguan mental yang dihadapi mahasiswa sehingga dapat mengurangi angka bunuh diri. Tujuan dari penelitian ini adalah untuk mendapatkan kelompok pola kesehatan mental mahasiswa untuk diidentifikasi pola dan tren dengan algoritma K-Means clustering dan dievaluasi dengan silhouette coefficient untuk memastikan keakuratan dan validitas dari hasil clustering. Data penelitian diperoleh dari pengisian angket mengenai kondisi kesejahteraan psikologis  dan tekanan psikologis  yang maing-masingnya terdiri dari 5 pertanyaan. Penelitian ini memperoleh hasil setelah dikelompokkan menjadi 3 cluster yaitu tertekan (C1), netral/stabil (C2), dan bahagia (C3), pada mahasiswa sistem informasi tidak ada cluster yang dominan karena di setiap cluster memiliki jumlah data yang sama, mahasiswa arsitektur dan matematika dominan mahasiswa yang memiliki kesehatan mental yang tertekan, mahasiswa biologi dominan mahasiswanya memiliki kesehatan mental yang netral. Berdasarkan 4 program studi hasil evaluasi cluster pada program studi system informasi dan matematika memiliki struktur yang lemah, sedangkan pada program studi arsitektur dan biologi memiliki struktur yang sedang.
Pemodelan Cadangan Devisa Indonesia Menggunakan Regresi Nonparametrik Spline Widyastuti, Naumi; Hafiyusholeh, Moh
Jurnal Sains Matematika dan Statistika Vol 11, No 2 (2025): JSMS Juli 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v11i2.32774

Abstract

Cadangan devisa adalah aset keuangan yang disimpan oleh bank sentral suatu negara dalam bentuk mata uang asing atau instrumen keuangan lainnya. Cadangan ini sangat penting karena berfungsi menjaga kestabilan perekonomian dan mendukung pertumbuhan di tengah perekonomian global. Oleh karena itu perlunya menjaga stabilitas cadangan devisa, penting untuk mengidentifikasi faktor-faktor yang mempengaruhinya. Penelitian ini bertujuan memodelkan faktor-faktor yang mempengaruhi cadangan devisa Indonesia menggunakan metode regresi nonparametrik spline, dengan titik simpul optimal yang diperoleh dari kombinasi titik simpul berdasarkan nilai Generalized Cross Validation (GCV) terendah sebesar 47652776. Variabel bebas yang digunakan dalam penelitian ini adalah ekspor ( x1), impor (x2), nilai tukar (x3), dan inflasi (x4), yang diduga memiliki pengaruh terhadap cadangan devisa. Hasil analisis menunjukkan bahwa model regresi nonparametrik spline berhasil mengidentifikasi keempat variabel tersebut sebagai faktor yang berpengaruh signifikan terhadap pergerakan cadangan devisa Indonesia. Model yang terbentuk memiliki nilai koefisien determinasi (R²) sebesar 85,86% dan Mean Absolute Percentage Error (MAPE) sebesar 4,644%, menunjukkan tingkat akurasi yang sangat baik.
Analisis Proyeksi Kebutuhan Air Bersih di PDAM Tirta Dharma Kota Pasuruan Menggunakan Population Forecasting Method Izzatul Aliyyah; Hafiyusholeh, Moh.; Hamid, Abdulloh; Prasetijo, Dono
Statistika Vol. 24 No. 1 (2024): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v24i1.2271

Abstract

ABSTRAK Air menjadi salah satu sumber energi yang paling dibutuhkan dalam kehidupan. Ketersediaan air dengan kualitas dan kuantitas yang cukup sangat diperlukan untuk kelangsungan hidup manusia. Sumber air bersih penduduk Kota Pasuruan banyak diperoleh dari PDAM Tirta Dharma Kota Pasuruan dengan pasokan utama berasal dari mata air Umbulan yang bertempat di Kecamatan Winongan, Kabupaten Pasuruan. Jumlah penduduk Kota Pasuruan yang terus meningkat setiap tahunnya menyebabkan kebutuhan air juga meningkat. Namun, keterbatasan persediaan sumber air baku untuk air bersih membuat PDAM Tirta Dharma Kota Pasuruan harus memikirkan usaha guna memenuhi pelayanan air bersih di Kota Pasuruan di masa mendatang. Tujuan pada penelitian ini untuk mengetahui proyeksi kebutuhan air bersih di PDAM Tirta Dharma Kota Pasuruan di tahun 2025 menggunakan Least Square Method.  Proyeksi dari hasil perhitungan dengan jumlah penduduk sebanyak 214.419 diperoleh bahwa kebutuhan air bersih di bagian domestik sebesar 4.472.750 liter/hari dan di bagian non domestik sebesar 3.266.960 liter/hari. Kehilangan air di Kota Pasuruan pada tahun 2025 mencapai 1.934.927 liter/hari sehingga kebutuhan air harian maksimum Kota Pasuruan pada tahun 2025 sebesar 112 liter/detik. ABSTRACT Water is one of the most important sources of energy in life. The availability of water of sufficient quality and quantity is very necessary for human survival. The source of clean water for the residents of Pasuruan City is mostly obtained from PDAM Tirta Dharma Pasuruan City with the main supply coming from the Umbulan spring located in Winongan District, Pasuruan Regency. The population of Pasuruan City continues to increase every year, causing the need for water to also increase. However, the limited supply of raw water sources for clean water means PDAM Tirta Dharma Pasuruan City must think about efforts to provide clean water services in Pasuruan City in the future. The aim of this research is to determine the projection of clean water needs in PDAM Tirta Dharma Pasuruan City in 2025 using the Least Square Method. Projections from the results of calculations with a population of 214.419 show that the need for clean water in the domestic section is 4.472.750 liters/day and in the non-domestic section is 3.266.960 liters/day. Water loss in Pasuruan City in 2025 will reach 1.934.927 liters/day so that the maximum daily water demand for Pasuruan City in 2025 will be 112 liters/second.
ANALISIS PREDIKSI JUMLAH PENDUDUK DI KOTA PASURUAN MENGGUNAKAN METODE ARIMA Mardiyah, Ilmiatul; Dianita Utami, Wika; Rini Novitasari, Dian Candra; Hafiyusholeh, Moh.; Sulistiyawati, Dewi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 3 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (553.131 KB) | DOI: 10.30598/barekengvol15iss3pp525-534

Abstract

Laju pertumbuhan penduduk di Kota Pasuruan pada tahun 2019 sebesar 0.68% dengan jumlah penduduk 200.422 jiwa. Tingginya pertumbuhan penduduk dapat mempengaruhi kepadatan penduduk. Penelitian ini bertujuan untuk memprediksi pertumbuhan penduduk Kota Pasuruan menggunakan metode ARIMA (Autoregressive Integrated Moving Average). Metode ARIMA adalah cara prediksi data deret waktu yang memiliki tiga model, yaitu AR (Autoregressive), MA (Moving Average), ARMA (Autoregressive Moving Average). Metode ini memiliki parameter (p,d,q) dapat diketahuidari plot ACF dan PACF untuk memastikan model yang akan digunakan untuk prediksi. Dalam penelitian ini data yang digunakan merupakan data penduduk Kota Pasuruan tahun 1983 sampai tahun 2019 sejumlah 37 data. Dari data tersebut didapatkan ARIMA model (1,1,1) dengan jumlah penduduk Kota Pasuruan pada tahun 2020 adalah 203.221 jiwa, didapatkan nilai MSE 10542507.06 dan MAPE 1.52%.
UTILIZATION OF OPEN EDUCATION RESOURCES IN MORAL CREED SUBJECTS AT MA DARUL ULUM BOJONEGORO Laila, Siti Alfin Nur; Hamid, Abdulloh; Hafiyusholeh, Moh.
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 2, No 2 (2024): Third International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

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

Abstract

Open Education Resources is a manifestation of the development of learning media in the modern era, open learning resources aim to improve the quality of education and facilitate the learning process. This type of research is fiel d research, namely research in which data is taken and carried out in the field by systematically analyzing and presenting facts about the state of the research object. This research was conducted using qualitative research methods. The aim of this research is to determine the competency, supporting and inhibiting factors of Aqidah Akhlak teachers at MA Darul Ulum Bojonegoro in utilizing Open Education Resources (OER) in the subject of Aqidah Akhlak. The results of the research found that the competence of Aqidah Akhlak teachers at MA Darul Ulum Bojonegoro was quite good, by utilizing learning resources searched via the internet they could integrate curriculum, modules and other learning tools. Supporting factors for using OER are easy access to open learning resources, freedom to innovate, opportunities for fellow teachers to collaborate in improving the quality of education, and teaching materials that can be adapted to the curriculum. The inhibiting factors in using OER are limited media tools, weak internet networks, teacher teaching habits, and limited time in using open learning resources
Analysis of Regency/City Human Development Index Data in East Java Through Grouping Using Hierarchical Agglomerative Clustering Method Alfirdausy, Roudlotul Jannah; Ulinnuha, Nurissaidah; Hafiyusholeh, Moh.
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.2959

Abstract

The evaluation of human development is typically done using the Human Development Index (HDI), which measures the level of development in terms of various essential aspects of quality of life. In the case of East Java, the HDI is categorized as high. However. the distribution of HDI among the Regencies/Cities in East Java is still uneven. Therefore, it becomes necessary to cluster the districts/cities based on their HDI and the achievement of each indicator contributing to the HDI. Clustering is a data analysis technique used to group similar data together. Hierarchical agglomerative clustering is one of the methods used for this purpose. The aim of this study is to provide a reference for the government to understand the distribution of characteristic groupings among the districts/cities based on their HDI profiles in East Java. The analysis of East Java's HDI data for 2021 revealed that the best method and cluster was obtained using Average Linkage, with a Cophenetic coefficient value of 0.8105891, resulting in two clusters. The cluster with the highest Silhouette coefficient value of 0.6196077 comprised 34 districts/cities, classified as the low cluster, while the high cluster consisted of four cities/regencies.
SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BEASISWA BIDIKMISI DI UINSA DENGAN MENGGUNAKAN ANALYTICAL HIERARCHY PROCESS (AHP) Iflakhah, Mila; Hafiyusholeh, Moh.
AXIOM : Jurnal Pendidikan dan Matematika Vol 10, No 2 (2021)
Publisher : Universitas Islam Negeri Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30821/axiom.v10i2.8837

Abstract

Abstrak:            Beasiswa merupakan pemberian bantuan biaya pendidikan kepada mahasiswa yang mampu dalam bidang akademik tetapi tidak dalam perekonomian. Namun masih sering terjadi kendala dalam pemrosesan seleksi pendaftar beasiswa, yaitu banyaknya kriteria yang harus diperhatikan dan banyaknya data pendaftar sehingga pengambilan keputusan menjadi relatif lebih sulit. Tujuan dari penelitian ini adalah memberikan alternatif dalam pengambilan keputusan penerima bantuan beasiswa untuk mahasiswa fakultas sains dan teknologi UINSA dengan menggunakan metode Analytical Hierarchy Process (AHP). Data yang diolah adalah data primer yang diperoleh dari angket. Data yang telah terkumpul selanjutnya dianalisis dengan matriks perbandingan berpasangan untuk menentukan nilai eigen dan vektor eigen. Hasil penelitian menunjukkan bahwa dari 39 pendaftar diperoleh 12 pendaftar yang menjadi prioritas dalam mendapatkan beasiswa Bidikmisi. Berturut-turut mahasiswa dengan kode Z1, Z2, Z5, Z7, Z10, Z19, Z20, Z21, Z23, Z29, Z32, Z35 dengan masing-masing bobot sebesar 0.34%, 0.27%, 0.27%, 0.28%, 0.36%, 0.33%, 0.29%, 0.31%, 0.34%, 0.29%, 0.27%, 0.35%. Kata Kunci:Vektor Eigen, Analytical Hierarchy Process (AHP), Nilai Eigen Abstract:The scholarship is the provision of tuition assistance to students who are capable of academics but have difficulties economically. However, some obstacles are often found throughout the screening process of scholarship applicants, such as the number of criteria to fulfill and the number of registrant data that results in difficulties in making a decision. This study aims to provide an alternative in decision making on the screening process of scholarship applicants for students from the Faculty of Science and Technology at the Universitas Islam Negeri Sunan Ampel by using the Analytical Hierarchy Process (AHP). The data processed are from the primary data obtained from questionnaires. The data obtained were analyzed by using a pairwise comparison matrix to determine the eigenvalues and eigenvectors. The results indicate that of 39 registrants, 12 of them became a priority in getting the Bidikmisi scholarship. Consecutively, students with codes Z1, Z2, Z5, Z7, Z10, Z19, Z20, Z21, Z23, Z29, Z32, Z35 have the score of 0.34%, 0.27%, 0.27%, 0.28%, 0.36%, 0.33%, 0.29%, 0.31%, 0.34%, 0.29%, 0.27%, 0.35%. Keywords:Eigenvector, Analytical Hierarchy Process (AHP), Eigenvalue
Prediksi Distribusi Air Perusahaan Daerah Air Minum (PDAM) Tirta Dharma Kota Pasuruan Menggunakan Metode Jaringan Syaraf Tiruan Backpropagation Agustina, Dwi; Hafiyusholeh, Moh.; Fanani, Aris; Prasetijo, Dono
Jurnal PROCESSOR Vol 18 No 1 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.1.697

Abstract

Every human being has the right to use clean water which is the most important resource for daily needs. The author wants to predict PDAM water distribution using the backpropagation neural network method, so that it can help PDAM Tirta Dharma Pasuruan city to find out the estimated water distributed to customers for the next period. This research was conducted using water distribution data obtained directly from PDAM Pasuruan City from January 2019 to December 2021. The architectures used in this study are 4-2-1, 4-4-1, and 4-8-1, with architectures the best is 4-2-1, which has an accuracy rate of 100%, a learning rate of 0.1, a target error of 0.001, and a maximum epoch of 1000. The number of predictions for the distribution of water in PDAM Tirta Dharma, Pasuruan City in 2022 was 6,829,056, in 2023 there were 6,865. 358, in 2024 there will be 6,867,817, and in 2025 there will be 6,868,785.
Peramalan Produk Domestik Bruto (PDB) Industri Furnitur di Indonesia Menggunakan Metode Double Exponential Smoothing-Holt Alfinatuzzahro Alfinatuzzahro; Wika Dianita Utami; Moh. Hafiyusholeh; Moh. Lail Kurniawan
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 3 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i3.64

Abstract

Furniture raw materials are still a major challenge in the industry, in line with the wishes of consumers to get good quality raw materials and soaring export demand, so there is a need for a control process to monitor the value of products using forecasting. The purpose of this study was to predict gross domestic product in the furniture industry in Indonesia in 2022. This study used secondary data on the quarterly trend of gross domestic product in the furniture industry in Indonesia 2010-2021 taken from the research industry data processed by BPS and Bank Indonesia, The method used is Double Exponential Smoothing-Holt. The results of the calculation using the double exponential smoothing-holt method obtained a value of α of 0.658 and β of 0.008 where the forecasting results for the 2022 period, namely the 1 quarter of 7.602 billion rupiah, quarter 2 of 7.676 billion rupiah, quarter 3 of 7.749 billion rupiah, and quarter 4 of 7.822 billion rupiah. Where the MAPE value is 0.737% which means forecasting has very good results.
Co-Authors Abd. Rachman Assegaf Abdulloh Hamid Abdulloh Hamid Abdulloh Hamid Adyanti, Deasy Alfiah Agus Arianto Ahmad Hanif Asyhar Ahmad Zaenal Arifin Akbar, Fadilah Al Watsiqoh, Mila Haibatu Alfinatuzzahro Alfinatuzzahro Alfirdausy, Roudlotul Jannah Ambadar, Panreshma Rizkha Aris Fanani Aris Fanani Azizatul Mualimah Binar Rahmawati Dwi Prihatni Aliek Deasy Alfiah Adyanti Dian C. R. Novitasari Dian C. Rini Novitasari Dian C. Rini Novitasari Dian Yuliati Dianita Utami, Wika Dwi Agustina Eka Alifia Kusnanti Emi Fatchurin Fadhila, Riska Nuril Fahriza Novianti Fajar Setiawan FAJAR SETIAWAN Fajar Setiawan Fajar Setiawan Fanani, Aris Farida, Yuniar Fery Firmansyah Fitria Febrianti Ghaluh Indah Permata Sari Gita Purnamasari R Hani Khaulasari Hanni Garminia I Ketut Budayasa ian Candra Rini Novitasari Iflakhah, Mila Iftitah Ardiwira Pramesti Irkhana Indaka Zulfa Izzatul Aliyyah Kuntari, Maharani L.N. Desinaini Laila, Siti Alfin Nur Lubab, Ahmad Mardiyah, Ilmiatul Mif'atul Mahmudah Moh. Hartono Moh. Lail Kurniawan Mohd Kamarulnizam bin Abdullah Monike Febriyani Faris Nafi'ah Darojat, Umi Sarah Nanang Widodo Novitasari, Dian C Rini Nur Faujiyah Nurissaidah Ulinnuha Prasetijo, Dono Pudji Astuti Putri Rahmawati Putroue Keumala Intan Rini Novitasari, ian Candra Ririn Komaria Safira Yasmin Amalutfia Sari, Dian Candra Rini Novita Sari, Firda Silvie Afifatuz Zulfah Siti Lailiyah Sulistiyawati, Dewi Tatag Yuli Eko Siswono Unix Izyah Arfianti Wahyudi, Sharenada Norisdita Widyastuti, Naumi Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Yanuwar Reinaldi Yati, Winda Yayan Luthfi Khoirina Yuniar Farida Yuniar Farida, Yuniar Yuyun Monita Zainullah Zuhri