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All Journal Indonesia Medicus Veterinus Jurnal Penelitian Fisika dan Aplikasinya (JPFA) IKRA-ITH Informatika : Jurnal Komputer dan Informatika JMM (Jurnal Masyarakat Mandiri) Jurnal Ilmiah Bening : Belajar Bimbingan Dan Konseling Jurnal Elektronika dan Telekomunikasi WAHANA PENDIDIKAN DASAR Sains dan Matematika Reswara: Jurnal Pengabdian Kepada Masyarakat International Journal of Applied Guidance and Counseling Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat IJORER : International Journal of Recent Educational Research Jurnal Kolaboratif Sains Inovasi Fisika Indonesia (IFI) Jurnal Pijar MIPA Jurnal Muassis Pendidikan Dasar TERAPUTIK: Jurnal Bimbingan dan Konseling INTAN CENDEKIA: JURNAL PENGABDIAN MASYARAKAT Jurnal Jamsostek Jurnal Ilmiah Pengabdian Kepada Masyarakat (Nyiur-Dimas)
Endah Rahmawati
Universitas Negeri Surabaya
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Cardiac Imaging with Electrical Impedance Tomography (EIT) using Multilayer Perceptron Network Ristyawardani, Amelia Putri; Baidillah, Marlin Ramadhan; Adityawarman, Yudi; Busono, Pratondo; Rachmadi, Mochamad Adityo; Yantidewi, Meta; Rahmawati, Endah
Jurnal Elektronika dan Telekomunikasi Vol 25, No 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.705

Abstract

This research explores the enhancement of Electrical Impedance Tomography (EIT) for cardiac imaging using Multilayer Perceptron (MLP) networks, focusing on supervised and semi-supervised learning approaches. Using synthetic thoracic datasets simulating dynamic cardiac and respiratory conditions, the study demonstrates that supervised learning achieves lower mean squared error (MSE) values (minimum 4.76) and more stable predictions compared to semi-supervised learning (minimum MSE 5.08). However, semi-supervised learning excels in edge accuracy and noise reduction, particularly in regions with sharp conductivity gradients, making it viable for scenarios with limited labeled data. Dropout regularization at 0.3 provided optimal balance, enhancing model generalization and robustness. While supervised learning outperformed semi-supervised methods in overall accuracy, the latter showed potential for cost-effective and scalable applications in EIT-based cardiac imaging. These findings suggest that integrating advanced machine learning with EIT can improve diagnostic accuracy and enable efficient use of sparse labeled data, paving the way for future optimizations and clinical applications.
Analysis of Critical Thinking Skills of Prospective Elementary School Teacher Student Julianto, Julianto; Wiryanto, Wiryanto; Suprayitno, Suprayitno; Susetyo R, Asri; Hidayati, Fitria; Rahmawati, Endah
IJORER : International Journal of Recent Educational Research Vol. 4 No. 3 (2023): May
Publisher : Faculty of Teacher Training and Education Muhammadiyah University of Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46245/ijorer.v4i3.302

Abstract

Objective: Education is one of the basic needs of humans. The current educational challenge is to produce individuals who can compete in the 21st century. We can access various information freely via the internet, and there is no guarantee that the news we see is true. To use this information properly, individuals must evaluate data and information sources. Method: The type of research used is qualitative research. The population in this study is all ESTE FoE Unesa students, and the sample used is the 2018-2020 class. The sample used was class 2019, D, and F, totaling 84 students. The data collection method used in this study is the test. The instrument used in this study was a critical thinking skills test. Data analysis was carried out in percentage terms. Results: The results showed that the critical thinking skills of Elementary School Teacher Education Faculty of Education Unesa students were in a low category. The results of this study are expected to be used by lecturers or researchers to design and develop learning activities that can facilitate students to practice critical thinking skills. Novelty: Lecturers can design the implementation of learning in the classroom that trains critical thinking skills to become more qualified, effective, and efficient.
Tidal Flood Prediction in Surabaya Based on Hydrometeorological Data Using Gradient Boosting and Logistic Regression Setyaningrum, Kartika Dwi Indra; Masfufah, Kiki Syalasyatun; Rahmawati, Endah; Hermanto, Ady
Jurnal Pijar Mipa Vol. 20 No. 6 (2025)
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v20i6.10068

Abstract

This research aims to develop a predictive model for tidal inundation at Tanjung Perak Port in Surabaya, a region identified as critical and highly susceptible to such events. The foundational data incorporated comprises hydrometeorological indicators, such as lunar cycles, tidal patterns, and precipitation levels, which were sourced from the BMKG Tanjung Perak Maritime Meteorological Station. A dataset comprising 26,275 individual data points was compiled and subsequently partitioned into training sets (80% of the data) and validation sets (20%) via randomization. This apportionment is intended to support the robustness and applicability of the developed model. The initial data preparation phase involved techniques such as data normalization, imputation of missing values, and the determination of variable weights based on their respective degrees of impact. Subsequently, two distinct machine learning methodologies were employed to construct the predictive framework: Gradient Boosting (specifically, XGBoost) and Logistic Regression. The efficacy of the resultant models was rigorously assessed using various metrics, including accuracy, confusion matrix analysis, ROC-AUC scores, and feature significance analysis. Analysis of the outcomes indicated that the Gradient Boosting model achieved a superior accuracy of 99.96%, whereas Logistic Regression attained 99.85%. An examination of the features revealed that lunar cycles and tidal conditions were the principal determinants of tidal inundation, with precipitation exerting a comparatively minor effect. These observations substantiate the efficacy of integrating suitable data preparation techniques with machine learning methodologies to achieve precise predictive outcomes. The principal contribution of this investigation is the establishment of a computational framework to facilitate the development of an advanced warning system for tidal flooding, thereby aiding hazard reduction and limiting adverse societal, financial, and operational consequences in littoral regions.
Rancangan Sistem Pendukung Keputusan Pemilihan Calon Pegawai Honorer Pemerintah Kabupaten Lamandau Menggunakan Metode Profile Matching Irmayanti, Ade; Rahmawati, Endah; Julita, Maya
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 8 No. 3 (2024): IKRAITH-INFORMATIKA Vol 8 No 3 November 2024
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v8i3.4368

Abstract

This study aims to design a Decision Support System (DSS) that implements the Profile Matchingmethod for the selection of honorary employees in the Lamandau District Government. The oftennon-systematic selection process results in less objective decisions, necessitating a system that canenhance effectiveness and transparency in decision-making. The Profile Matching method is usedto compare the profiles of candidates with predetermined criteria, leading to a fairer and moreaccurate selection process. Data were collected through interviews with relevant stakeholders inthe Lamandau District Government, which were then analyzed to identify appropriate selectioncriteria. The findings indicate that the application of DSS can reduce subjectivity and improveclarity in the evaluation process. Additionally, the designed computer-based system facilitatesfaster data processing and presents information in a more comprehensible manner. Thus, thisresearch is expected to make a significant contribution to the development of employee selectionsystems in local government and enhance the quality of human resources in public service. Theimplementation of information technology in DSS is anticipated to serve as a reference for futureresearch in decision-making and human resource management.
Pemberdayaan Masyarakat Melalui Eco-Enzyme untuk Pengelolaan dan Degradasi Limbah Cair Industri Tempe di Desa Sukorejo Trenggalek Firdaus, Rohim Aminullah; Rahmawati, Endah; Dzulkiflih, Dzulkiflih; Khoiro, Muhimmatul; Putri, Nugrahani Primary; Yantidewi, Meta
Lumbung Inovasi: Jurnal Pengabdian kepada Masyarakat Vol. 10 No. 4 (2025): December
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/6eyqtz37

Abstract

Limbah cair industri tempe memiliki beban organik tinggi (COD, BOD, TSS) yang berpotensi menurunkan kualitas lingkungan jika dibuang tanpa pengolahan. Sebagian besar pelaku UMKM tempe di pedesaan belum memiliki akses terhadap teknologi pengolahan yang murah dan sederhana, sehingga diperlukan pendekatan alternatif berbasis partisipasi masyarakat. Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan memberdayakan warga Desa Sukorejo, Trenggalek dalam pengelolaan limbah cair menggunakan eco-enzyme hasil fermentasi sampah organik rumah tangga. Berbeda dari pendekatan konvensional, kegiatan ini menerapkan model partisipatif dengan pembuatan dan penerapan eco-enzyme berbasis rumah tangga yang terintegrasi dengan monitoring masyarakat, sebuah pendekatan yang belum umum diterapkan pada pengelolaan limbah tempe skala kecil. Metode meliputi pemetaan pelaku usaha, sosialisasi, pelatihan pembuatan eco-enzyme (rasio 3:1:10; fermentasi ±90 hari), penyusunan SOP aplikasi (1–5% v/v), dan pendampingan uji sederhana (pH, bau, kekeruhan). Program diikuti 18 peserta dan menghasilkan kelompok pengelola serta unit percontohan. Observasi menunjukkan penurunan bau dan kekeruhan dalam 24–48 jam serta peningkatan pengetahuan peserta. Evaluasi respon peserta menunjukkan kategori sangat baik (rata-rata >90%). Kegiatan ini efektif meningkatkan kapasitas masyarakat dan menunjukkan potensi eco-enzyme sebagai solusi awal pengolahan limbah cair tempe yang murah dan berkelanjutan. Community Empowerment Through Eco-Enzymes for the Management and Degradation of Liquid Waste from Tempeh Industries in Sukorejo Village, Trenggalek Abstract Liquid waste from tempeh production contains high organic loads (COD, BOD, TSS) that can degrade environmental quality if discharged without proper treatment. Most small-scale tempeh producers in rural areas lack access to simple and low-cost treatment technologies, necessitating an alternative approach grounded in community participation. This Community Service Program (PKM) aims to empower residents of Sukorejo Village, Trenggalek in managing liquid waste using eco-enzymes produced from the fermentation of household organic waste. Unlike conventional approaches, this program adopts a participatory model involving the household-based production and application of eco-enzymes integrated with community monitoring—an approach that is rarely implemented for small-scale tempeh wastewater management. The methods included stakeholder mapping, awareness-building activities, training on eco-enzyme production (3:1:10 ratio; ± 90-day fermentation), preparation of application SOPs (1–5% v/v), and facilitation of simple testing (pH, odor, turbidity). The program involved 18 participants and resulted in the formation of a management group and a pilot demonstration unit. Observations indicated reductions in odor and turbidity within 24–48 hours, alongside improved participant knowledge. Participant response evaluations showed excellent results (average >90%). This program effectively enhanced community capacity and demonstrated the potential of eco-enzymes as a low-cost and sustainable preliminary solution for treating liquid waste from tempeh production.
DESAIN ANTENA MIKROSTRIP FOLDED DIPOLE PADA JARINGAN SELULAR 5G arnando, steven; Firdaus, Rohim Aminullah Firdaus; Rahmawati, Endah; Khoiro, Muhimmatul; Winarno, Nanang
Inovasi Fisika Indonesia Vol. 14 No. 3 (2025): Vol 14 No 3
Publisher : Prodi Fisika FMIPA Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ifi.v14n3.p429-435

Abstract

Abstrak Artikel penelitian ini membahas tentang antena patch mikrostrip yang dibuat untuk komunikasi nirkabel. Bahan substrat yang digunakan yaitu FR-4 (lossy) dengan permitivitas dielektrik 4,3. Antena ini dirancang dengan menggunakan software CST Studio Suite. Desain antena patch mikrostrip yang ukurannya kecil, mudah difabrikasi, dan biaya yang murah telah dianalisis dalam artikel ini. Dari antena yang diusulkan memiliki return loss -34 dB dengan bandwidth sebesar 268 MHz pada return loss dibawah -10 dB. VSWR terendah pada frekuensi 3,5 GHz yaitu sebesar 1,01868. Antena ini dapat diaplikasikan pada ponsel, dan aplikasi LAN nirkabel.   Abstract This research article discusses microstrip patch antennas designed for wireless communication. The substrate material used is FR-4 (lossy) with a dielectric permittivity of 4.3. This antenna is designed using CST Studio Suite software. The design of the small-sized microstrip patch antenna, which is easy to fabricate and low-cost, has been analyzed in this article. The proposed antenna has a return loss of -34 dB with a bandwidth of 268 MHz at a return loss below -10 dB. The lowest VSWR at a frequency of 3.5 GHz is 1.01868. This antenna can be applied to radar systems, mobile phones, and wireless LAN applications.
Identifikasi Banjir Rob menggunakan Metode Klasifikasi dengan Model Random Forest dan Decision Tree di Pelabuhan Surabaya Tahun 2021-2023 -, kiki syalasyatun masfufah; Setyaningrum, Kartika Dwi Indra; Rahmawati, Endah; Hermanto, Ady
Inovasi Fisika Indonesia Vol. 15 No. 1 (2026): Inpress Vol 15 No 1
Publisher : Prodi Fisika FMIPA Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ifi.v15n1.p21-29

Abstract

Abstrak Banjir rob merupakan salah satu jenis bencana hidrometeorologi yang kerap terjadi di wilayah pesisir, terutama akibat kombinasi antara pasang laut tinggi, fase bulan tertentu, dan curah hujan ekstrem. Penelitian ini bertujuan untuk mengidentifikasi potensi banjir rob di kawasan Pelabuhan Surabaya dengan menggunakan algoritma klasifikasi Random Forest dan Decision Tree. Data yang digunakan meliputi parameter hidrometeorologi seperti fase bulan, pasang surut air laut, dan curah hujan, yang diperoleh dari Stasiun Meteorologi Maritim Tanjung Perak Surabaya. Sebelum dimodelkan, data melalui tahapan pre-processing berupa normalisasi dan pembobotan untuk menyeragamkan skala antar variabel serta menilai tingkat kontribusi masing-masing parameter. Model dikembangkan dengan pembagian data 80% pelatihan dan 20% pengujian. Hasil evaluasi Random Forest menunjukkan akurasi sebesar 99,96% dan Decision Tree sebesar 99,94% dengan tingkat kesalahan yang sangat rendah. Analisis feature importance menunjukkan bahwa fase bulan dan pasang surut merupakan faktor dominan dalam prediksi banjir rob, sedangkan curah hujan memiliki pengaruh minimal. Temuan ini membuktikan bahwa Random Forest merupakan metode yang efektif dan andal untuk klasifikasi banjir rob serta memiliki potensi untuk diimplementasikan dalam sistem peringatan dini. Penelitian ini juga merekomendasikan integrasi data geografis, seperti informasi kerentanan tanah, morfologi wilayah, dan elevasi permukaan untuk meningkatkan akurasi dan generalisasi model di masa mendatang.   Abstract Tidal flooding is a type of hydrometeorological disaster that often occurs in coastal areas, mainly due to a combination of high tides, certain lunar phases, and extreme rainfall. This study aims to identify the potential for tidal flooding in the Surabaya Port area using Random Forest and Decision Tree classification algorithms. The data used include hydrometeorological parameters such as lunar phases, tides, and rainfall, obtained from the Tanjung Perak Maritime Meteorology Station in Surabaya. Before being modeled, the data went through pre-processing stages such as normalization and weighting to standardize the scale between variables and assess the level of contribution of each parameter. The model was developed by dividing the data into 80% training and 20% testing. The evaluation results of Random Forest showed an accuracy of 99.96% and Decision Tree at 99.94% with a very low error rate. Feature importance analysis showed that lunar phases and tides are the dominant factors in predicting tidal flooding, while rainfall has a minimal influence. These findings prove that Random Forest is an effective and reliable method for tidal flood classification and has the potential to be implemented in early warning systems. This study also recommends the integration of geographic data, such as soil vulnerability information, regional morphology, and surface elevation to improve the accuracy and generalization of future models.
Co-Authors -, kiki syalasyatun masfufah A.E, Yon Abdul Hadi ADHIEM, ABDUL Adityawarman, Yudi Aji Santosa Al-Hilalliyah, Shafiyyah Anes Liovi Putri Tse, Bertina Annastasya, Fira Maya arnando, steven Astuti, Anita Dewi Baidillah, Marlin Ramadhan Budianto, Wawan Eko CHOIRUN NISA Dewi Anjani, Dewi Dwi Mulyani, Nur Sya'ban Ratri Dzulkiflih, Dzulkiflih Eka Aryani, Eka Eny Kusumawati Evitasari, Atika Dwi Firdaus, Rohim Aminullah Firdaus, Rohim Aminullah Firdaus FIRDIYAN HABIBY, NABIL Fitria Hidayati, Fitria Herawati, Ni Nyoman Emi Hermanto, Ady I Made Dwinata Ibrahim, Yulianton Ashzar Ibrahmi, Yulianton Azhar Ida Ayu Pasti Apsari Imam Sucahyo Irmayanti, Ade ISLAM SAKTI, AL-BIKHAR Julianto Julianto Julita, Maya Khoiro, Muhimmatul Kodiriyah, Ain Nun Sila Lumbantobing, Melva Evelin M., Nur Sya’ban Ratri Dwi MARTIN NASUTION, HABIB Masfufah, Kiki Syalasyatun Mulyana, Indah Mulyani, Nur Sya'ban Ratri Dwi Nanang Winarno Nugrahani Primary Putri Nur Aini, Novi NUR ALBAB, ALFI NUR LAILA Nurbaiti, Anifa Tuzzuhroh Nurlaelah Nurlaelah, Nurlaelah Pratondo Busono Rachmadi, Mochamad Adityo Risnawati Risnawati Ristyawardani, Amelia Putri RIZKY MUSTALIM, FIQIH Roby Tristiantoro S, Saiffudin Sadi’ah, Kalimatus Setyaningrum, Kartika Dwi Indra Suprayitno Suprayitno Susetyo R, Asri Sutrisno AB, Joko Tjipto Prastowo Utami, Wahyu Murti Utamingtyas, Siwi Widya P, Nurfitria Wiryanto Wiryanto Yantidewi, Meta Zuhro, Saifauz