Article Per Year (5 Year)
p-Index From 2021 - 2026
8.486
P-Index
This Author published in this journals
All Journal International Journal of Evaluation and Research in Education (IJERE) ComEngApp : Computer Engineering and Applications Journal Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmu Komputer dan Informasi Jurnal Ilmiah Informatika Komputer Jurnal Simetris Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Intiqad: Jurnal Agama dan Pendidikan Islam Telematika : Jurnal Informatika dan Teknologi Informasi Scientific Journal of Informatics CESS (Journal of Computer Engineering, System and Science) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Fourier InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Proceeding of the Electrical Engineering Computer Science and Informatics JPSE (Journal of Physical Science and Engineering) Jurnal Teknologi dan Sistem Komputer Journal of Information Technology and Computer Science Jurnal Informatika INTEGER: Journal of Information Technology Jurnal Matematika: MANTIK JURNAL MEDIA INFORMATIKA BUDIDARMA Desimal: Jurnal Matematika JTERA (Jurnal Teknologi Rekayasa) BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING Unisda Journal of Mathematics and Computer Science (UJMC) JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Informatika Universitas Pamulang JUMANJI (Jurnal Masyarakat Informatika Unjani) Jurnal Telematika Mathvision : Jurnal Matematika Building of Informatics, Technology and Science Transformasi : Jurnal Pendidikan Matematika dan Matematika Jurnal Mnemonic Majalah Ilmiah Matematika dan Statistika (MIMS) Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi JUSTIN (Jurnal Sistem dan Teknologi Informasi) Papanda Journal of Mathematics and Sciences Research Sains Data Jurnal Studi Matematika dan Teknologi Journal Serambi Engineering (JSE)
Sari, Dian Candra Rini Novita
Universitas Islam Negeri Sunan Ampel Surabaya
Religion Arts Humanities Astronomy Civil Engineering, Building, Construction & Architecture 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 Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

Published : 73 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 73 Documents
Search

 4   5   6   7   8 
Application of Support Vector Regression (SVR) for RevenuePrediction Based on Total Transactions and Total WasteVolume Maliki, Naufal Ridho; Khaulasari, Hani; Novitasari, Dian Candra Rini; Pramono, Wahyu Joko
Desimal: Jurnal Matematika Vol. 9 No. 1 (2026): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v9i1.29190

Abstract

Reliable revenue forecasting is critical for ensuring the financial sustainability of urban sanitation infrastructure, particularly in publicly managed fecal sludge treatment systems where demand fluctuates and operational planning depends on daily service variability. However, revenue patterns in such systems are typically nonlinear, volatile, and influenced by interrelated operational factors, limiting the effectiveness of conventional linear forecasting approaches. This study develops a data-driven predictive framework using Support Vector Regression (SVR) to model daily retribution revenue at the Keputih Fecal Sludge Treatment Plant (IPLT Keputih), Surabaya. The dataset comprises 1,213 daily observations from January 2022 to April 2025, incorporating total transactions and total sludge volume as predictor variables and total revenue as the response variable. Three kernel configurations—Linear, Polynomial, and Radial Basis Function (RBF)—were systematically evaluated following Min–Max normalization and chronological training–testing separation. Model performance was assessed using Mean Absolute Percentage Error (MAPE). The results demonstrate that the SVR model with the RBF kernel achieved the highest predictive accuracy, yielding a MAPE of 17.17%, outperforming the Linear and Polynomial kernels in capturing nonlinear revenue dynamics. Forecast projections further reveal cyclical seasonal tendencies with direct implications for operational scheduling and short-term budget allocation. By integrating machine learning–based forecasting into public sanitation revenue modeling, this study contributes to advancing data-driven financial planning strategies for sustainable urban service management.
Analisis Sentimen Pengguna Aplikasi X Terhadap Pelaksanaan Makan Bergizi Gratis Menggunakan Metode Adaptive Neuro-Fuzzy Inference System Mergianti, Wahyu Ningtiyas; Khudin, Nasroh; Afandi, Achsan; Shofah, Novia Adibatus; Novitasari, Dian Candra Rini
Sains Data Jurnal Studi Matematika dan Teknologi Vol 4, No 1: January - June 2026
Publisher : Sekolah Tinggi Agama Islam Nurul Islam Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52620/sainsdata.v4i1.339

Abstract

Program Makan Bergizi Gratis (MBG) menimbulkan beragam sentimen positif dan negatif di media sosial yang mencerminkan perbedaan persepsi publik terhadap pelaksanaannya. Penelitian ini bertujuan menganalisis sentimen masyarakat menggunakan metode Adaptive Neuro-Fuzzy Inference System (ANFIS) agar perbedaan sentimen positif dan negatif dapat diidentifikasi secara lebih jelas dan terukur. Data penelitian berupa 3520 tweet hasil crawling dengan beberapa kata kunci. Dataset melalui empat tahap persiapan dan dilakukan pembobotan menggunakan TF-IDF. Penelitian ini menguji kinerja ANFIS menggunakan validasi silang K-Fold dengan variasi learning rate (0.001, 0.01, 0.1, 0.2) dan 4 optimasi yakni sgd, adam, RMSProp, Adagrad. Hasil pengujian menunjukkan model uji terbaik menghasilkan akurasi sebesar 56.55%, sensitivitas 19.73%, presisi 38.06%, dan f1-score 25.98% dengan kombinasi parameter learning rate sebesar 0.01 dan optimizer Adam. Hasil evaluasi menggunakan confussion matrix menunjukkan bahwa sentimen positif terhadap pelaksanaan program MBG masih rendah, sehingga diperlukan evaluasi dan perbaikan pada aspek implementasian program.
Pemodelan banjir pluvial perkotaan berbasis SWMM untuk strategi mitigasi di kawasan Ciledug seskoal, Jakarta Selatan dewi, Chandra; Krisnawati, Dian; Nahdloh, Airu; Candra Rini Novitasari, Dian
Papanda Journal of Mathematics and Science Research Vol. 5 No. 1 (2026): Volume 5 Nomor 1 Maret 2026
Publisher : Papanda Publisher

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

Abstract

Urban pluvial flooding is one of the most frequent hydrometeorological disasters in densely populated areas and is a serious problem for many cities around the world. This flooding is triggered by high rainfall intensity, represented by the Intensity Duration Frequency (IDF) curve, as well as limited drainage network capacity due to inadequate channel size, hydraulic roughness, sedimentation, and waste accumulation. To address these issues, this study applies an integrated modeling method between SWMM and a 2D hydrodynamic model using rainfall data derived from Intensity Duration Frequency (IDF) analysis based on historical rainfall records from BMKG during the period 2014-2024, DEM/topography, land use, drainage channel characteristics, and actual inundation observations in the Ciledug Seskoal area, South Jakarta. This study aims to analyze the characteristics of pluvial flooding in the study area and evaluate the performance of the SWMM–2D model in simulating surface runoff and flooding processes. The calibration results show that the model is able to capture inflow patterns and hydrographs that are consistent with the observation data. Model validation demonstrated moderate agreement between simulated and observed inundation depths, with a correlation coefficient of r = 0.79 (R² = 0.63). The distribution of flooding depth indicated that most of the affected areas experienced flooding of more than 60 cm, signifying a significant level of risk. The novelty of this study lies in the integration of SWMM and a 2D hydrodynamic model validated with actual inundation data in a dense urban setting, which improves the accuracy of pluvial flood simulation compared to conventional methods. Overall, the integrated SWMM-2D model proved effective in predicting urban pluvial flood characteristics and can be used as a scientific basis for formulating flood mitigation strategies in densely populated residential areas
Co-Authors Ababil, Achmad Fachril Yusuf Abdulloh Hamid Abdulloh Hamid Achmad Teguh Wibowo Adam Fahmi Khariri Adyanti, Deasy Afandi, Achsan Ahmad Hanif Asyhar Ahmad Hidayatullah Ahmad Zoebad Foeady Ahmad Zoebad Foeady Aisyah, Nora Alvin Nuralif Ramadanti Amin, Faris Mushlihul Ananda Nur Izza Arifin, Ahmad Zaenal Aris Fanani Ariyanto Wijaya, Indra Ariyanto, Dimas Azmi, Tasya Auliya Ulul Cahyani, Nabila Rahma Chalawatul Ais Damayanti, Adelia Deasy Adyanti Desy Nur Fitriani Dewi Sukmawati, Chandra Dewi, Chandra Dewi, Ratna Cintya Dian Krisnawati Dianita Utami, Wika Dilla Dwi Kartika Diva Ayu Safitri Nur Maghfiroh Elen Riswana Safila Putri Fahriza Novianti Fajar Setiawan Fajar Setiawan Fajar Setiawan Fajar Setiawan FAJAR SETIAWAN Fanani, Aris Faris Mushlihul Amin Farmita, Mayandah Ferryan, Dhandy Ahmad Firmansjah, Muhammad Fitria, Nur Annisa Foeady, Ahmad Zoebad Galuh Andriani Ganeshar B.D. Prasanda Gita Purnamasari R Hani Khaulasari Hanimatim Mu'jizah Haq, Dina Zatusiva Ifadah, Corii Indriyani, Jiphie Gilia Irkhana Indaka Zulfa Jauharotul Inayah Khudin, Nasroh Kurniawan, Mohammad Lail Kusaeri Kusaeri Lubab, Ahmad Luluk Mahfiroh Lutfi Hakim Lutfi Hakim Lutfi Hakim Luthfi Hakim Luthfi Hakim M. Hasan Bisri Maliki, Naufal Ridho Mardiyah, Ilmiatul Masruroh Kusman, Umi Maulana, Aashif Amiruddin Maulana, Achmad Resnu Maulana, Jeneiro Mergianti, Wahyu Ningtiyas Moh. Hafiyusholeh Mohammad Rizal Abidin Mohd Fauzi, Shukor Sanim Monika Refiana Nurfadila Muhammad Azhar MUHAMMAD FAHRUR ROZI Muhammad Fahrur Rozi Muhammad Syaifulloh Fattah Muhammad Thohir Musfiroh Musfiroh, Musfiroh Nahdloh, Airu Nanang Widodo Nanang Widodo Nanang Widodo Nanang Widodo Nisa Trianifa Novia Adibatus Shofah Noviati Maharani Sunariadi Noviati Maharani Sunariadi Nur Afifah Nur Hidayah Nurissaidah Ulinnuha Pramesti, Diah Devi Pramono, Wahyu Joko Puspitasari, Wahyu Tri Putri Wulandari Putri, Evi Septya Putroue Keumala Intan Rafika Veriani Ramadanti, Alvin Nuralif Ratnasari, Cristanti Dwi Rifa Atul Hasanah RIFA ATUL HASANAH Rozi, Muhammad Fahrur Rozzy, Fahrul Safira, Icha Dwi Sani, Puteri Permata Sari, Firda Yunita Sari, Ghaluh Indah Permata Sari, Yana Vita Setiawan, Fajar Setyawati, Maunah Siti Nur Aisah Siti Nur Fadilah Siti Nur Fadilah Siti Ria Riqmawatin Sukarni, Adinda Ika Sulistiya Nengse Sulistiyawati, Dewi Suwanto Suwanto Suwanto Suwanto Swindiarto, Victory T. Pambudi Tasya Auliya Ulul Azmi Thalia Anindya Ardine Unix Izyah Arfianti USWATUN KHASANAH Utami, Tri Mar'ati Nur Utami, Wika Dianita Utami Dianita Veriani, Rafika Vina Fitriyana Wanda N.P. Sunaryo Wijaya, Indra Ariyanto Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Wisnawa, Gede Gangga Yasirah Rezqita Aisyah Yasmin Yuliati, Dian Yuliawanti, Felia Dria Yuni Hariningsih Yuniar Farida Yusuf, Ahmad Yuyun Monita Yuyun Monita Zahroh, Khofifah Auliyatuz Zulfa, Elok Indana