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All Journal Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat Jurnal Informatika dan Teknik Elektro Terapan Mimbar Sekolah Dasar Pendas : Jurnah Ilmiah Pendidikan Dasar JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Teknik Jaringan Laboratorium Medis Jurnal Syntax Transformation MAHESA : Malahayati Health Student Journal Journal of Midwifery Care Enggang: Jurnal Pendidikan, Bahasa, Sastra, Seni, dan Budaya Sasambo Journal of Pharmacy Education Achievement: Journal of Science and Research Indo-MathEdu Intellectuals Journal Jurnal Teknik Sipil Kokoh Innovative: Journal Of Social Science Research Jurnal Rekayasa elektrika Jurnal Ilmiah Mahasiswa Arsitektur dan Perencanaan Nutrition Scientific Journal Hudan Linnaas: Jurnal Ilmu Sosial dan Humaniora Nursing Case Insight Journal Tafani
Salsabila, Salwa
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SISTEM PEMANTAUAN KUALITAS UDARA BERBASIS ESP32 MENGGUNAKAN SENSOR GAS MQ-135 DAN MQ-2 Solihat, Sophia Maratu; Salsabila, Salwa; Susilawati, Susilawati
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.5568

Abstract

Indonesia menghadapi masalah polusi udara yang semakin mengkhawatirkan, terutama di kota-kota besar dengan kepadatan penduduk yang tinggi dan aktivitas industri yang signifikan. Penelitian ini bertujuan merancang sistem pemantauan kualitas udara berbasis ESP32 dengan memanfaatkan sensor gas yang sesuai, seperti MQ-135 dan MQ-2. Sistem ini dirancang untuk memantau kualitas udara dengan mendeteksi gas berbahaya, seperti CO, CO2, NH3, dan H2, yang dihasilkan dari jalan raya dengan lalu lintas padat. Melalui perancangan perangkat keras yang dilakukan, penelitian ini berhasil mengembangkan sistem yang mampu memantau kualitas udara di suatu wilayah dan menyediakan informasi terkait kategori kualitas udara yang terukur.
Geostatistical Co-Kriging Approach for Estimating Total Coliform Bacteria in the Rivers of DKI Jakarta Salsabila, Salwa; Sirodj, Dwi Agustin Nuriani
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 1 (2026): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i1.34391

Abstract

Spatial statistics and geostatistics are essential for analyzing spatially distributed data, particularly in environmental studies where data gaps are prevalent. However, limited studies have applied multivariate geostatistical approaches, particularly Co-Kriging (CK), to assess microbial contamination in tropical urban river systems, where pollution patterns are highly variable and data gaps are frequent. This study employs CK, a multivariate geostatistical interpolation technique, to estimate Total Coliform Bacteria concentrations in the rivers of DKI Jakarta, Indonesia. Total Coliform Bacteria served as the primary variable, with Biochemical Oxygen Demand (BOD) and Chemical Oxygen Demand (COD) incorporated as secondary variables. A total of 120 sampling points were analyzed, with data collected by Dinas Lingkungan Hidup DKI Jakarta during the second monitoring period in June 2022. Semivariogram modelling identified the Gaussian model as the best fit, yielding the lowest root mean square error (RMSE) of 11.468, which performed better than both the Spherical and Exponential models. Model performance was further evaluated through Leave-One-Out Cross-Validation (LOOCV), in which one data point was systematically removed and re-estimated in multiple iterations to calculate the residuals and assess model accuracy. The CK analysis was performed using RStudio software. CK predictions closely matched observed concentrations, demonstrating strong model performance. At unsampled locations, the estimated mean Total Coliform Bacteria concentration was 7.711 × 10⁶ MPN/100 ml with a standard deviation of 4.406 × 10⁶ MPN/100 ml. The high variance indicates substantial spatial heterogeneity, likely driven by data outliers, weak spatial autocorrelation in COD, and low correlations between Total Coliform–COD and BOD–COD pairs. These findings highlight the potential of geostatistical CK to provide reliable spatial predictions of microbial contamination in urban river systems, thereby supporting evidence-based water quality monitoring and management in densely populated regions. The insights generated in this study can help environmental authorities in DKI Jakarta optimize monitoring strategies, prioritize pollution hotspot interventions, and strengthen urban river health management to protect public health and guide sustainable urban water governance.
Understanding Elementary Students’ Difficulties in Mathematization of Pre-Algebra Problems Salsabila, Syifa; Jupri, Al; Umayrah, Anggi; Salsabila, Salwa
Mimbar Sekolah Dasar Vol 12, No 3 (2025)
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53400/mimbar-sd.v12i3.89167

Abstract

This study aims to explore the mathematization process of elementary school students in solving pre-algebraic story problems. Adopting a sequential explanatory mixed-method design with a qualitative descriptive case study as the core component, the research focuses on understanding students’ thinking patterns based on their written work and reflections. Participants consisted of 53 Grade V students from three schools in Tasikmalaya, Indonesia. The initial quantitative phase was conducted to identify general patterns of performance and guide case selection for the qualitative phase, while qualitative data were obtained from students’ written outputs, video recordings, unstructured interviews, and field notes. Findings from the initial phase indicated a wide range of abilities, revealing learning gaps that warranted deeper exploration. Qualitative analysis shows that students face difficulties in understanding problem statements, formulating mathematical models, applying operational rules, and re-examining their solutions. The most dominant errors occur in vertical mathematization, particularly in the problem-solving and reflection stages. These findings highlight the urgent need to design classroom practices and learning strategies that explicitly develop students’ mathematization abilities, especially during the transition from arithmetic to algebraic thinking in primary education.
INTEGRASI TEKNOLOGI DIGITAL DALAM PEMBELAJARAN MATEMATIKA UNTUK MENINGKATKAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIS: SYSTEMATIC LITERATURE REVIEW Salsabila, Salwa; Hendrayana, Aan
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 02, Juni 2026 Produce
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.47249

Abstract

The development of digital technology provides new opportunities to improve the quality of mathematics learning, particularly in enhancing mathematical problem-solving skills. This research aims to analyze the forms of integration and types of digital technology utilized in mathematics learning and examine their impact on students' mathematical problem-solving skills. This research uses a systematic literature review method following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses stages. The article search process was conducted using the Publish or Perish application, taking into account predetermined inclusion criteria. The results show that various digital technologies, such as mathematics software, interactive digital learning media, and online learning applications, have an impact on improving students' mathematical problem-solving skills.
Co-Authors Aan Hendrayana Agnesia, Agnesia ahmad yani Aini, Rofiqotul Alamsah, Azhar Zulkarnain Alamsyah, Azhar Zulkarnain Alfa, Lutfiah Malaya Almaajid, Rizqi Amelia, Nanda Andila, Melin Andriany, Dian Anggraeni, Nitta Fitria Annashr, Nissa Noor Arif Setiawansyah Asmarawanti, Asmarawanti Atqia, Wirani Badawi, Hilwa Faza Nabila Baihaqy, Ahnaf Bambang Setia Nugroho Dika, Nidya Elpara Dwi Agustin Nuriani Sirodj Enggy Erwansani Era Nopera Rauzi Fatmawati Nur Hasanah Feresia, Shinta Gifari, Agi Ahmad Hakim, Aditia Rahman Hamidah, Ernawati Harfan Hian Ryanu Inom Nasution Intan, Neng Jaya, Farrel Septian Levy Olivia Nur Lutiyah, Lutiyah M.Si. Ph.D, Drs. Syamsir, Martini, Eva Moh. Nurul Huda, Moh. Nurul Muhammad Andre Reynaldi Muldani, Muhammad Defrian Mustopa Saepul Alamsah Nasution, Abdul Fattah Neysa Putri, Azalia Nur Aisyah Oktavian, Aisyah Oktaviani, Ersya Sri Patimah, Iin Patricia, Venny Putri, Azka Megistriani Rahmayanti, Anisa Salsabila, Syifa Setiawan, Devi Siregar, Mustofa Solihat, Sophia Maratu Sopandi, Deryl Baharudin SRI KURNIA DEWI Sri Wulandari Sumayyah, Lia Sundari S, Fenny Susilawati, Susilawati Umayrah, Anggi Valentina, Febriani Wan Suryani Z, Indra Wahyudi Zulfikar Taqiuddin