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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 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 MIND (Multimedia Artificial Intelligent Networking Database) Journal 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 JAMBURA JOURNAL OF PROBABILITY AND STATISTICS MATHunesa: Jurnal Ilmiah Matematika 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 Jurnal Ragam Pengabdian
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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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.
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.
Analysis of Inflation Rates During and After the COVID-19 Pandemic Using the K-Means Clustering Method and Kruskal-Wallis Test Fadhila, Riska Nuril; Ulinnuha, Nurissaidah; Hafiyusholeh, Moh
Jurnal Fourier Vol. 14 No. 2 (2025)
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.2025.142.56-67

Abstract

Inflation occurs when excessive demand results in an overall increase in the prices of goods and services. During the COVID-19 pandemic, the inflation rate in Indonesia leveled off due to the weakening economy. However, in 2022, there was a spike in post-COVID-19 inflation due to increased public demand as pandemic conditions improved. Stable inflation is a requirement for sustainable economic growth and improving people's welfare. In handling inflation problems in various regions, variables and unique circumstances in each region are very important. This research aims to determine whether significant differences exist in the clustering of inflation rates in Indonesia during and after the COVID-19 pandemic. The research results using the Kruskal-Wallis test and the K-Means method obtained that the clustering of inflation rates with k=2 provides good results, as indicated by the Silhouette Coefficient value of 0.66. In addition, there is a significant difference between the current (2020-2021) and post (2022-2023) years of COVID-19 as evidenced by the Kruskal-Wallis test with a p-value < 0.05.
Implementasi Chi-Square dan Oversampling Pada Klasifikasi Kesehatan Janin dengan Support Vector Machine Wahyudi, Sharenada Norisdita; Ulinnuha, Nurissaidah; Hafiyusholeh, Moh
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 11, No 3 (2025): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v11n3.327-337

Abstract

Pemantauan kesehatan janin menjadi aspek penting karena hal tersebut merupakan bentuk antisipasi terkait deteksi potensi patologis yang berkemungkinan membahayakan janin maupun ibu hamil. Sebagaimana dilansir dalam website resmi UNICEF, setidaknya terdapat 2,3 juta bayi meninggal pada bulan pertama kelahiran dengan 90% dari total keseluruhan merupakan kasus kematian bayi didalam kandungan pada masa kehamilan diatas 20 minggu. Selain membahayakan bayi, kesehatan janin juga berdampak pada keselamatan ibu hamil. Oleh karena itu, perlu dilakukan suatu usaha mitigasi resiko guna memperkecil potensi kematian janin dengan mendeteksi kesehatan janin dengan melakukan klasifikasi dengan algoritma SVM. Data yang digunakan pada penelitian ini adalah hasil pemeriksaan kandungan berupa data cardiotocography, berisikan 2126 data yang berisikan 21 fitur yang terkategorikan menjadi 3 kelas yaitu 1665 normal, 295 kelas suspect dan 176 kelas pathologic. Berdasarkan perbedaan yang cukup signifikan pada jumlah data ditiap kelas, dilakukan balancing data dengan metode Synthetic Minority Over-Sampling Technique (SMOTE). Selain itu, dilakukan seleksi fitur dengan menggunakan Chi-Square pada 21 fitur yang kemudian didapati 12 fitur terpilih untuk diklasifikasikan menggunakan algoritma SVM. Skema klasifikasi dilakukan dengan beberapa tahapan, dan didapati bahwa penambahan seleksi fitur Chi-Square dan SMOTE berhasil meningkatkan akurasi klasifikasi menjadi 98%, dengan nilai presicion sebesar 99%, recall 98% dan F-1 Score sebesar 98%. Fetal health monitoring is an important aspect because it forms for detect potential pathologies that may endanger fetus and pregnant mother. As reported on UNICEF, at least 2.3 million babies die in the first month of birth with 90% of the total being cases of intrauterus fetal death. In addition to endangering the baby, fetal health also has an impact on pregnant mother. As an effort to minimize the potential and risk of fetal death, is classify the health status of the fetus using the SVM algorithm. The data used in this study are gynecological results in the field of cardiotocography data, containing 2126 data that have been categorized into 3 classes, namely normal, suspect and pathologic classes. Cardiotocography data in this study was included 2,126 observations distributed across 21 features grouped into three categories: 1,665 normal, 295 suspect, and 176 pathological. Given the significant variation in the number of observations across each category, a data balancing technique, known as the Synthetic Minority Over-Sampling Technique (SMOTE), was employed to address this imbalance. Furthermore, a feature selection process was implemented, employing the Chi-Square method on the 21 features. This method identified 12 features that were subsequently classified using the SVM algorithm. The classification scheme was executed in multiple stages, and it was observed that the incorporation of both Chi-Square and SMOTE feature selection led to a substantial enhancement in classification accuracy, reaching 98%, accompanied by a 99% precision value, 98% recall, and an 98% F-1 score.
Implementasi K-Means Clustering Melalui Pemanfaatan Sampling Kombinasi Pada Pengelompokan Pola Kesehatan Mental Mahasiswa Sains dan Teknologi Firda Sari; Maharani Kuntari; Winda Yati; Hani Khaulasari; Moh. Hafiyusholeh
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.
Impact of Inflation, Interest Rates, And Money Supply on Deposit Funds Yayan Luthfi Khoirina; Yuniar Farida; Moh. Hafiyusholeh; Hani Khaulasari
Economics Development Analysis Journal Vol. 13 No. 4 (2024): Economics Development Analysis Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v13i4.13910

Abstract

Deposits are straightforward investment instruments that offer fixed interest over a specified period, serving as a profitable product for banks. They play a crucial role in supporting banking operations, particularly within the internal scope of the institution. This study aims to examine the causal relationships between deposit interest rates, inflation, and money supply on the total deposits held by banks. A Vector Error Correction Model (VECM) is employed to investigate these relationships in both the short and long term. The analysis reveals that inflation and money supply significantly influence the volume of deposits in the short term. Conversely, deposit interest rates do not exhibit a substantial short-term impact on the total funds deposited. In the long term, all independent variables—deposit interest rates, inflation, and money supply—demonstrate a considerable effect on the amount of deposited funds. These findings provide valuable insights for banks, enabling them to optimize their funding strategies through deposit products while addressing challenges posed by macroeconomic fluctuations
A STUDY ON THE APPLICABILITY OF TRAPEZOIDAL FUZZY AHP WITH FEATURE SELECTION: THE CASE OF SKSS SCHOLARSHIP RECIPIENTS AT BAZNAS EAST JAVA Syamil Waris Dien Muhammad; Abdulloh Hamid; Hani Khaulasari; Dian Candra Rini Novitasari; Moh Hafiyusholeh
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 3 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss3pp2027-2044

Abstract

The One Family One Graduate (SKSS) scholarship program, managed by BAZNAS East Java, aims to alleviate the financial burden of higher education for underprivileged communities. However, the absence of clearly defined weights for each selection criterion may lead to unfairness in the selection process. This study aims to determine the objective weights of each criterion and to rank prospective scholarship recipients using the Trapezoidal Fuzzy AHP approach. The data were obtained from 78 scholarship applicants for the 2024 SKSS period and from questionnaires completed by three expert respondents (expert judgment). Feature selection was conducted to identify the most relevant criteria, resulting in 13 selected variables are tuition fee per semester (K₁), father's latest education level (K₂), father's income (K₃), mother's latest education level (K₄), mother's income (K₅), house size (K₆), amount of family installments (K₇), number of parental dependents (K₈), income of working family members (K₉), type of transportation used to campus (K₁₀), distance from home to campus (K₁₁), monthly allowance (K₁₂), and monthly income if the student is working (K₁₃). The results show that the criterion with the highest weight is tuition fee per semester (0.139142), while the lowest is Type of transportation to campus (0.059970). The highest priority subject is Subject 74 (S_74) with a total weight of 0.7964, whereas Subject 23 (S_23) ranks lowest with a total weight of 0.7723. These findings are expected to enhance the objectivity and fairness of the SKSS scholarship selection process.
Literasi Digital Santri Milenial: Studi Kasus Pondok Pesantren Tahfidzul Quran Al-Jihadul Chakim Mojokerto Abdulloh Hamid; Al Watsiqoh, Mila Haibatu; Mohd Kamarulnizam bin Abdullah; Moh. Hafiyusholeh
TADRIS: Jurnal Pendidikan Islam Vol 19 No 1 (2024)
Publisher : State Islamic Institute of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/tjpi.v19i1.9920

Abstract

Pesantren or Islamic Boarding Schools is a type of classical educational institution that still exis nowadays. As time goes by, Pesantren always has formal educational institutions in the form of madrasah. Students who live in pesantren are identified as students who do not know the advancement of technology. Moreover, not being allowed to use cell phones in the pesantren area is being another trigger. The purpose of this study is to find the related approach of MTs Al-Jihadul Chakim in facilitating their students in digital literacy. This study uses qualitative methods, focusing on digital literacy. The results of this study found that MTs Al-Jihadul Chakim as a pesantren-based madrasah provides programs and facilities for its students to have digital literacy skills. The form of those approaches are programs such as ICT-based learning, assistance in managing social media wisely, coaching graphic design skills, and photos/videography program.
Co-Authors Abd. Rachman Assegaf Abdulloh Hamid Abdulloh Hamid 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 Azizatul Mualimah Binar Rahmawati Dwi Prihatni Aliek Deasy Alfiah Adyanti Dian C. R. Novitasari Dian C. Rini Novitasari Dian C. Rini Novitasari Dian Candra 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 Faujiyah, Nur Fery Firmansyah Firda Sari Fitria Febrianti Ghaluh Indah Permata Sari Gita Purnamasari R Hani Khaulasari Hani Khaulasari Hani Khaulasari Hani Khaulasari Hanni Garminia I Ketut Budayasa ian Candra Rini Novitasari Iftitah Ardiwira Pramesti Irkhana Indaka Zulfa Izzatul Aliyyah L.N. Desinaini Laila, Siti Alfin Nur Lubab, Ahmad M THUFAIL ALWANNABIL SAMAS Maharani Kuntari Mardiyah, Ilmiatul Micha Annata Shinami Mif'atul Mahmudah Mila Haibatu Al Watsiqoh Mila Iflakhah Moh. Hartono Moh. Lail Kurniawan Mohd Kamarulnizam bin Abdullah Mohd Kamarulnizam bin Abdullah Monike Febriyani Faris Nafi'ah Darojat, Umi Sarah Nanang Widodo Novitasari, Dian C Rini Nur Faujiyah NURISSAIDAH ULINNUHA Nurissaidah Ulinnuha Nurissaidah Ulinnuha Octavia Putri Anggraini Pramesti, Iftitah Ardiwira Prasetijo, Dono Prasetya Putri, Amor Maulidiyah Rizamzam Prayuda, Shanas Septy Pudji Astuti Putri Rahmawati Putri Rahmawati Putroue Keumala Intan Putroue Keumala Intan Rini Novitasari, ian Candra Ririn Komaria Safira Yasmin Amalutfia Sari, Dian Candra Rini Novita Silvie Afifatuz Zulfah Siti Lailiyah Sulistiyawati, Dewi Susilo Ari Wardani Syamil Waris Dien Muhammad Tatag Yuli Eko Siswono Unix Izyah Arfianti Wahyudi, Sharenada Norisdita Widyastuti, Naumi Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Winda Yati Yahya Vigo Tri Saputra Yanuwar Reinaldi Yayan Luthfi Khoirina Yuniar Farida Yuniar Farida Yuniar Farida Yuyun Monita Zainullah Zuhri