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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan JMM (Jurnal Masyarakat Mandiri) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Madani : Indonesian Journal of Civil Society Jurnal Pengabdian kepada Masyarakat Nusantara International Journal of Data Science, Engineering, and Analytics (IJDASEA)
Sri Hidayati
Universitas Telkom Surabaya
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Classification of Drought Impact by Drought Vulnerability Indicators in Probolinggo Regrency Using Naive Bayes Sri Hidayati
Internasional Journal of Data Science, Engineering, and Anaylitics Vol. 2 No. 1 (2022): International Journal of Data Science, Engineering, and Analytics Vol 2, No 1,
Publisher : International Journal of Data Science, Engineering, and Analytics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijdasea.v2i1.31

Abstract

Drought in Probolinggo is a big problem because most of the people in this work as farmers. Drought is a natural phenomenon, difficult to define due to differences in hydrometeorological variables and socio economic factors along with the stochastic nature of water demand in various regions. Resident vulnerability to drought hazard is varie. Vulnerability can be measured using vulnerability indicators such as economic factors, social factors, and ecological factors. This research used several vulnerability indicators to classified the impact of drought in three villages in Probolinggo Regency (Sumberkare, Tandonsentul, and Tegalsono). The classification method used in this research is Naïve Bayes. The 10-fold cross validation method was used to train the developed predictive model and the performance of the models evaluated. The accuracy of drought impact by the naive bayes is 85,90 %. Naïve Bayes classifier classify indicators of the impact of drought accurately.
PENINGKATAN KEMAMPUAN DESAIN MEDIA PEMBELAJARAN BAGI GURU DI SEKOLAH MENENGAH ATAS Aris Kusumawati; Raulia Riski; Sri Hidayati; Farid Duta Hadyanto; Anandito Satria Pradana; Fitri Rayani Siahaan
JMM (Jurnal Masyarakat Mandiri) Vol 7, No 2 (2023): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v7i2.13383

Abstract

Abstrak: Pembelajaran daring mendorong kebutuhan guru akan media pembelajaran yang menarik untuk memaksimalkan efektivitas pembelajaran dan menghadirkan minat belajar siswa. Namun, kebanyakan guru belum memiliki kemampuan desain media pembelajaran yang memadai sesuai dengan perkembangan teknologi. Pengabdian masyarakat ini bertujuan untuk meningkatkan kemampuan desain media pembelajaran guru-guru di SMA Negeri 1 Surabaya melalui pelatihan desain menggunakan platform desain Canva. Sebanyak 25 guru dengan latar belakang pengajaran yang berbeda-beda menerima materi cara mendesain media pembelajaran menggunakan Canva serta melakukan praktik mandiri didampingi tim pengabdi. Evaluasi dilakukan dengan cara obeservasi, wawancara, dan pemberian kuesioner. Hasil evaluasi menunjukkan bahwa pelatihan ini berhasil meningkatkan kemampuan desain peserta dengan persentase kepuasan sebesar 88%, serta potensi keberlanjutan pemanfaatan Canva untuk mendesain media pembelajaran sebesar 90%. Abstract: Online learning encourages teachers' need for interesting learning media to maximize learning effectiveness and generate student learning interest. However, most teachers do not have adequate learning media design skills in accordance with technological developments. This community service aims to improve the learning media design skills of teachers at SMA Negeri 1 Surabaya through design training using the Canva design platform. As many as 25 teachers with different teaching backgrounds received material on how to design learning media using Canva and carried out independent practice accompanied by the service team. Evaluation was carried out by observing, interviewing, and giving questionnaires. The evaluation results show that this training succeeded in increasing the participants' design skills with a satisfaction percentage of 88%, as well as the potential for sustainable use of Canva to design learning media by 90%.  
Pelatihan Desain Poster Menggunakan Canva Bagi Siswa SMA Negeri 1 Surabaya Aris Kusumawati; Sri Hidayati; Raulia Riski; Muhammad Zhahnur Arif; Ridho Rahmatullah; Annisa Nur Salsabilla
Madani : Indonesian Journal of Civil Society Vol. 5 No. 2 (2023): Madani, Agustus 2023
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/madani.v5i2.1708

Abstract

The rapid development of science and technology has resulted in various applications that can help various human needs, including in terms of design. Currently, there are various online-based design applications that provide a variety of attractive designs that can be accessed for free or for a fee, including Canva. This community service aims to increase the design creativity of SMAN 1 Surabaya students, especially in making poster designs with the Canva application. The results of the training showed that SMA Negeri 1 Surabaya students agreed that the training could increase students' knowledge and skills in making poster designs using Canva, as seen from the results of the questionnaire where 81.33% of students gave very good predicates to the training they had attended. The knowledge gained during the training is expected to be useful for students in the short and long term, namely in the wider scope of student life in the future.
DYNAMIC TIME WARPING-BASED FUZZY C-MEANS WITH MULTIDIMENSIONAL SCALING FOR TIME SERIES CLUSTERING Sri Hidayati; Regita Putri Permata; Fidi Wincoko Putro
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/barekengvol20iss3pp2299-2310

Abstract

Weather refers to atmospheric conditions such as temperature, humidity, air pressure, wind speed, and rainfall, all of which influence human activities. Rainfall is particularly important due to its impact on agriculture and water resource management. This study classifies regions on Java Island based on rainfall patterns using the Fuzzy C-Means algorithm. Rainfall variations are influenced by geographical, topographical, and climatic factors, requiring methods that can capture spatial and temporal changes. Fuzzy C-Means was selected for its ability to manage data uncertainty and overlapping clusters. To measure rainfall pattern similarity between regions, the Dynamic Time Warping (DTW) method was applied. Since DTW is a non-Euclidean metric and incompatible with Fuzzy C-Means, the Multidimensional Scaling (MDS) method was used to convert DTW distance matrices into Euclidean feature vectors. The study used secondary daily rainfall data from NASA (2021–2024). Clustering performance was evaluated using the Silhouette Coefficient, yielding a value of 0.413184, indicating good compactness and separation. Results identified three clusters: low rainfall (Cluster 0), moderate rainfall (Cluster 1), and high rainfall (Cluster 2). ANOVA results confirmed significant differences in average rainfall between clusters, with Tukey HSD tests showing Cluster 2 significantly differs from Clusters 0 and 1, while Clusters 0 and 1 are not significantly different. These findings demonstrate that combining DTW, MDS, and Fuzzy C-Means effectively identifies temporal rainfall patterns and produces statistically meaningful clustering. The spatial distribution of each cluster is visualized using GeoJSON and a database for clearer interpretation.
OPTIMALISASI PENGELOLAAN DATA KESEJAHTERAAN SOSIAL: PENAMBAHAN PILAR PKH DAN ASPD PADA APLIKASI WEBSITE E-PSKS DAN PROSES INTEGRASI SERVER E-PSKS DINAS SOSIAL PROVINSI JAWA TIMUR Affifiana Prisyanti; Sri Hidayati; Arip Ramadan; Adzanil Rachmadhi Putra; Irfan Yasin; Ibrahim Muhammad; Herdianto Jeremi Bonte
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 3 (2025): Juni
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i3.29836

Abstract

Abstrak: Dalam era digital yang terus berkembang, pemanfaatan teknologi informasi telah menjadi faktor kunci bagi Dinas Sosial dalam meningkatkan efisiensi, aksesibilitas, dan penyediaan layanan kepada masyarakat dalam program-program kesejahteraan sosial. Namun, sebagian besar Dinas Sosial masih sangat mengandalkan prosedur pelaporan manual atau sistem yang tidak terintegrasi dengan baik, yang mengakibatkan ketidakefisienan, ketidakakuratan data, kurangnya transparansi, dan tantangan terkait integrasi data. Dengan latar belakang tersebut, pengabdian kepada Masyarakat bertujuan untuk pengembangan lanjutan aplikasi website pendataan e-PSKS pada 2 pilar, Program Keluarga Harapan (PKH) dan Asistensi Sosial Penyandang Disabilitas (ASPD). Pengembangan lanjutan aplikasi e-PSKS diikuti oleh 3 Dosen serta 3 Mahasiswa prodi Sistem Informasi Telkom University Surabaya. Setelah pengembangan aplikasi e-PSKS, diadakan pelatihan dan testing aplikasi yang diikuti oleh 10 peserta mitra perwakilan Dinas Sosial dan Pilar Sosial PKH serta ASPD. Evaluasi dilakukan dengan cara observasi, wawancara, dan pemberian kuesioner. Hasil evaluasi menunjukkan pengembangan aplikasi e-PSKS berhasil memberikan manfaat sesuai kebutuhan Dinas Sosial sebesar 89,5%, serta potensi keberlanjutan pengembangan aplikasi e-PSKS sebesar 92,5%.Abstract: In the ever-evolving digital era, the use of information technology has become a key factor for the Social Service in improving efficiency, accessibility, and service provision to the community in social welfare programs. However, most Sosial Services still rely heavily on manual reporting procedures or systems that are not well integrated, resulting in inefficiency, data inaccuracy, lack of transparency, and challenges related to data integration. With this background, Community Service aims to further develop the e-PSKS data collection website application on 2 pillars, the Family Hope Program (PKH) and Social Assistance for the Disabled (ASPD). The further development of the e-PSKS application was attended by 3 Lecturers and 3 Students of the Information Systems study program at Telkom University Surabaya. After the development of the e-PSKS application, training and application testing was held which was attended by 10 partner participants representing the Social Service and PKH Social Pillars and ASPD. Evaluation wa carried out by means of observation, interviews, and questionnaires. The evaluation results showed that the development of the e-PSKS application succeeded in providing benefits according to the needs of the Social Service by 89,5%, and the potential for sustainable development of the e-PSKS application by 92.5%.
DASHBOARD UNTUK CLUSTERING PENILAIAN PEGAWAI DINAS PU SUMBER DAYA AIR PROVINSI JAWA TIMUR Rifdah Alifia; Rokhmatul Insani; Sri Hidayati
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.6201

Abstract

Dinas PU Sumber Daya Air Provinsi Jawa Timur merupakan instansi milik pemerintahan yang memiliki wewenang dalam pengelolaan sumber daya air yang menyeluruh. Instansi tersebut memiliki evaluasi dan penilaian kinerja untuk para pegawai yang bekerja di dalamnya, dimana evaluasi tersebut digunakan untuk meningkatkan kinerja sumber daya manusia pada instansi terkait. Akan tetapi, evaluasi tersebut kurang komprehensif karena mereka belum memiliki sistem monitoring dan visualisasi untuk hasil pengelompokan penilaian pegawai. Oleh karena itu, penelitian ini dibuat yaitu dengan tujuan untuk menganalisis evaluasi dan penilaian prestasi kerja berdasarkan kelompok kinerja serta menganalisis variabel-variabel terkait yang digunakan untuk menilai para pegawai. Sasaran dari pengelompokan evaluasi kinerja pegawai yang dilakukan pada penelitian ini yaitu 128 pegawai ASN yang bekerja di Dinas PUSDA pada tahun 2023. Adapun metode yang digunakan dalam penelitian ini yaitu menggunakan algoritma K-Means Clustering berdasarkan data penilaian kinerja pegawai dengan 8 variabel, yaitu berorientasi pelayanan, akuntabel, kompeten, harmonis, loyal, adaptif, kolaboratif, dan hasil kerja. Penelitian ini menggunakan bahasa pemrograman Python dalam pengolahan datanya. Penentuan k optimal-nya menggunakan metode elbow, dengan hasil cluster terbaik adalah 3 cluster. Dimana cluster 0 memiliki 48 data, cluster 1 memiliki 74 data, dan cluster 2 memiliki 6 data. Dengan hasil evaluasi meggunakan metode Silhouette Coefficient sebanyak 0.593. Hasil dari clustering penilaian pegawai menggunakan K-Means digunakan untuk membuatan visualisasi dashboard pengelompokan kinerja pegawai menggunakan tools Tableau. Dengan adanya pengelompokan kinerja pegawai, diharapkan penelitian ini dapat memberi rekomendasi dalam pengambilan keputusan terkait pengembangan strategi pengelolaan SDM di Dinas PU Sumber Daya Air Provinsi Jawa Timur.
SIGAP Wedoro: Digitalisasi Deteksi Dini Status Gizi Balita Berbasis AI di Posyandu Wedoro Sidoarjo Dewi Rahmawati; Sri Hidayati; Faisal Zaidan Pradana; Yosep Warih Martua Manik; Siti Nafiatul Fauziah; Muhamad Rozi; Aqilah Jihan Nabila; Zahid Abdullah Nur Mukhlisin
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 7 No. 2 (2026): Edisi Mei - Agustus
Publisher : Lembaga Dongan Dosen

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

Abstract

Kader Posyandu Wedoro, Kecamatan Waru, Sidoarjo, masih bergantung pada pencatatan manual dan buku manual cetak untuk menghitung status gizi balita, sehingga rentan terhadap keterlambatan pelaporan dan kesalahan interpretasi parameter gizi (stunting, wasting, gizi kurang); aplikasi pendataan sudah tersedia namun fungsinya masih terbatas dan belum menjawab kebutuhan tersebut secara optimal. Kader juga kesulitan memberikan panduan stimulasi perkembangan non-fisik (kognitif, bahasa, sosio-emosional) sesuai buku KIA/KMS, sebagaimana dikonfirmasi melalui wawancara dengan koordinator kader pada 12 Februari 2026. Sebagai solusi, tim pengabdian mengembangkan aplikasi SIGAP Wedoro (Sistem Informasi Gizi dan Pertumbuhan) berbasis web yang mengintegrasikan tiga fitur utama: (1) Modul Prediktif Pertumbuhan Balita berbasis XGBoost untuk memproyeksikan status pertumbuhan anak tiga bulan ke depan; (2) AI Chat sebagai asisten digital bagi orang tua dan kader untuk konsultasi gizi dan stimulasi berbasis pedoman Kemenkes/WHO; serta (3) Dashboard Terpadu, Kalkulator Gizi, Riwayat Anak, dan Rekomendasi Gizi otomatis. Sistem dikembangkan sebagai modul plug-and-play yang berjalan paralel tanpa menggantikan infrastruktur eksisting, dan dapat diakses melalui sigap-wedoro.cloud tanpa instalasi. Pelaksanaan mengikuti tiga tahap: persiapan (koordinasi kebutuhan dan perancangan sistem), pelaksanaan (penyerahan buku manual kepada Kepala Desa serta pelatihan aplikasi kepada petugas posyandu dan orang tua balita), dan evaluasi (kuesioner kepuasan). Evaluasi terhadap 19 responden mitra sasaran menunjukkan tingkat penerimaan tinggi, dengan total tanggapan Setuju dan Sangat Setuju mencapai 94,74%. Luaran meliputi Hak Cipta aplikasi (No. EC002026104022), publikasi pada tiga media massa nasional, serta video dokumentasi pada kanal YouTube Universitas Telkom Surabaya. Kegiatan ini mendukung SDGs #3 dan percepatan penurunan stunting melalui pemberdayaan kader dan orang tua berbasis teknologi human-centered.
Co-Authors Adzanil Rachmadhi Putra Affifiana Prisyanti Anandito Satria Pradana Anisa Dzulkarnain Annisa Nur Salsabilla Aqilah Jihan Nabila Arini Pramesta Setyaningtitah Arip Ramadan Aris Kusumawati Berlian Rahmy Lidiawaty Dewi Rahmawati Faisal Zaidan Pradana Farid Duta Hadyanto Fidi Wincoko Putro Fitri Rayani Siahaan Herdianto Jeremi Bonte Ibrahim Muhammad Irfan Yasin Muhamad Rozi Muhammad Zhahnur Arif Rafi Andi Hidayah Raulia Riski Regita Putri Permata Ridho Rahmatullah Rifdah Alifia Rokhmatul Insani Siti Nafiatul Fauziah Yosep Warih Martua Manik Zahid Abdullah Nur Mukhlisin