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Prediction Model of Voter Participation Using Naïve Bayes and Village Development Indicators: Model Prediksi Partisipasi Pemilih Menggunakan Naïve Bayes dan Indikator Pembangunan Desa Abidin, Husnul; Fitrani, Arif Senja; Setiawan, Hamzah; Indahyanti, Uce
Indonesian Journal of Cultural and Community Development Vol. 16 No. 2 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijccd.v16i2.1243

Abstract

Background: Electoral participation reflects the quality of democracy, particularly in rural communities with diverse socioeconomic structures. Specific Background: In Sidoarjo Regency, disparities in participation levels among villages suggest that local development factors play a crucial role. Knowledge Gap: Previous models only used demographic attributes without integrating the multidimensional Village Development Index (IDM) indicators. Aims: This study aims to construct a predictive model of voter participation using the Naïve Bayes classification algorithm based on IDM data. Results: By applying preprocessing, feature selection, and probabilistic classification to 48 attributes of IDM, the model achieved 78.65% accuracy, 79% precision, 76% recall, and 77% F1-score, revealing that education, health, and accessibility variables are key predictors. Novelty: Unlike prior research, this work combines social, economic, and ecological IDM dimensions with an open-source Python-based approach for transparent model validation. Implications: The findings demonstrate the feasibility of data-driven governance tools for mapping electoral participation and can support strategic planning to improve civic engagement in rural Indonesia.Highlights:• Uses IDM indicators to predict election participation• Naïve Bayes model achieves 78.65% accuracy• Supports data-driven democratic planning
Peningkatan Peran Kader Lansia dalam Meningkatkan Kesehatan Lansia di masa pandemi covid-19 Desa Penatarsewu Kecamatan Tanggulangin Sidoarjo Amelia Kusumawardani, Paramitha; Cholifah, Siti; Setiawan, Hamzah
Prosiding University Research Colloquium Proceeding of The 13th University Research Colloquium 2021: Kebencanaan dan Pengabdian Masyarakat
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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

Abstract

Pandemi covid-19 berdampak multidimensi di berbagaiaspek kehidupan terutama lanjut usia (lansia) yang menghadapirisiko signifikan terkena covid-19. Protokol kesehatan danpemantauan kesehatan lansia di masa pandemi saat ini tidakberjalan sesuai dengan peraturan yang berlaku. Tidak sedikitlansia yang tidak menyadari pentingnya melaksanakan protokolkesehatan dalam pencegahan penularan covid-19 sehingga untukmemaksimalkan penularan covid-19 maka tim pengabdimelakukan kegiatan pada kader lansia di masa pandemi saat ini.Tujuan pengabdian kepada masyarakat ini mampu memberikanpeningkatan derajat mutu kesehatan lansia supaya hidup sehatdan mandiri di masa pandemic. Pelaksanaan pengabdianmasyarakat dilakukan di pos posyandu lansia desa Penatarsewukecamatan Tanggulangin Sidoarjo dengan dihadiri oleh mitrapengabdian yaitu kader lansia, perangkat desa dan timpengabdian masyarakat. Kegiatan yang diadakan pelatihanprotokol kesehatan 5 M, dengan diadakannya pelatihan ini makakader – kader lansia dapat meningkatkan pengetahuannyatentang protokol kesehatan 5 M dan mencegah penularan covid19 terutama pada lansia. Kegiatan yang kedua yaitu pelatihanpemantauan kesehatan lansia di masa pandemi covid-19.Pastisipasi mitra dengan menjadi kader dan memantau kesehatanpara lansia dengan mandiri. Kemudian memberikan info grafisberupa poster tentang protokol kesehatan dan pemantauankesehatan lansia di masa pandemi covid-19. Setelah diberikanpelatihan tersebut, kader-kader lansia akan di damping olehpetugas kesehatan dan tim pengabdi serta mahasiswa kebidananuntuk melaksanakan kegiatan sesuai pelatihan yang sudahdiberikan.
Visualisasi Gedung Kampus 1 Universitas Muhammadiyah Sidoarjo MenggunakanAugmented Reality Sebagai Media Informasi Taurusta, Cindy; Asiddiq, Afnizar Maulana; Suprianto1, Suprianto; Setiawan, Hamzah
Journal of Technology and System Information Vol. 1 No. 1 (2024): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jtsi.v1i1.2146

Abstract

The making of this application is as a promotional medium to increase the number of new students and introduce the campus when PMB conducts campus tours. Visualization of augmented reality (AR) campus 1 buildings at Muhammadiyah University of Sidoarjo as an information medium that can combine real and virtual objects in 3D buildings in real time. This study uses the Marker Based Tracking Method to produce applications that can display building visuals in 3D and can scan markers by pointing the smartphone camera at brochures from various angles including: top, left and right sides and back.
Revolutionizing Inventory Management: Web-Based System for Accurate and Efficient Reporting: Merevolusi Manajemen Inventaris: Sistem Berbasis Web untuk Pelaporan yang Akurat dan Efisien Triwahono, Handi; Rosid, Mochamad Alfan; Setiawan, Hamzah; Hindarto, Hindarto
Indonesian Journal of Innovation Studies Vol. 22 (2023): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v22i.869

Abstract

The aim of this research is to develop a systematic information system for logistics of consumable goods by applying the FIFO method. It also aims to synchronize expenditure reports with inventory reports to minimize discrepancies between financial and inventory reports. The research approach consists of two methods, qualitative case study and FIFO inventory management method. The Web-based Consumable Goods Logistics Information System is built using PHP version 8.1 programming language with Laravel version 9 framework on the server-side, Vue.js on the client-side, and MySql as the database. It can be operated on browsers such as Chrome, Mozilla Firefox, or Microsoft Edge. The system is expected to help local governments generate the required reports for the BPKAD, which mandates monthly inventory reports on incoming and outgoing goods. The application is user-friendly and capable of producing accurate and fast reports. Highlights: 1. This research aims to create a systematic information system for consumable goods logistics using the FIFO method to minimize discrepancies between financial and inventory reports. 2. The Web-based system is user-friendly, capable of producing accurate and fast reports, and fulfills the inventory reporting needs of each department/unit while providing valid data to the Health Department. 3. The system is built using PHP 8.1 and Laravel 9 framework on the server-side, Vue.js on the client-side, and MySql as the database, and can be operated on Chrome, Mozilla Firefox, or Microsoft Edge browsers.
Comment Sentiment Analysis of JNE Using K-Nearest Neighbor (KNN) Method on Twitter: Analisis Sentimen Komentar terhadap JNE Menggunakan Metode K-Nearest Neighbor (KNN) pada Twitter Arisandi, Ricky Renaldo; Sumarno, Sumarno; Setiawan, Hamzah
Indonesian Journal of Innovation Studies Vol. 23 (2023): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v22i.883

Abstract

Social media has evolved into a prominent public space for virtual criticism, particularly on platforms like Twitter, facilitated by widespread smartphone usage. Netizens utilize Twitter as an effective communication channel due to its accessibility and vast reach. This study focuses on sentiment analysis of comments from the public on Twitter, aiming to expedite the acquisition of accurate information about the general sentiment towards JNE (a logistics company). The K-Nearest Neighbor (KNN) classifier is employed, employing the TF-IDF weighting method to classify Indonesian language comments and assess the achieved accuracy. Highlights: Study focused on sentiment analysis of Twitter comments concerning JNE services using the K-Nearest Neighbor (KNN) method with Indonesian language text. Employed the TF-IDF weighting to classify comments and achieved an impressive 90% accuracy in sentiment analysis. The obtained classification proves valuable in evaluating public perception of JNE's services based on feedback from the social media community on Twitter.
Pelatihan Akupresur Kader Lansia Guna Meningkatkan Imunitas di Desa Penatarsewu Tanggulangin Sidoarjo Amelia, Paramitha; Setiawan, Hamzah; Wicaksono, Arief; Cholifah, Siti; Jakaria, Ribangun Bamban
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 5 No 2 (2021): Volume 5 Nomor 2 Tahun 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v5i2.16569

Abstract

This Covid-19 pandemic has a multidimensional impact on life, especially elderly who face a significant risk of contracting Covid-19. Several ways to increase immunity, especially elderly, include nutritious food, increase activity, and acupressure. The purpose of research is to provide acupressure training for elderly cadres to increase immunity of elderly during Covid-19 pandemic. The stages of implementing acupressure training were the survey service team to partner locations, collaborate with village government, midwives and elderly cadres then plan concept of solutions and stages. The team made media in form of posters of acupressure points and leaflets of acupressure points for hands and body. The result of community service, namely attitude of participants about acupressure has increased from attitude of the good category 11 people (73%) to very good as many as 14 participants (93%). The skills of participants, namely that before training did not have acupressure skills and after training all participants had acupressure skills. Number of participants who have skills to determine acupressure points correctly is 13 people (86%) and participants who can do acupressure correctly are 12 people (80%).