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All Journal Jurnal Teknologi Pendidikan CESS (Journal of Computer Engineering, System and Science) Sinkron : Jurnal dan Penelitian Teknik Informatika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Pendidikan dan Konseling JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Pengabdian kepada Masyarakat JEBDEKER: Jurnal Ekonomi, Manajemen, Akuntansi, Bisnis Digital, Ekonomi Kreatif, Entrepreneur Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance JURNAL TEKNOLOGI INFORMASI & KOMUNIKASI DALAM PENDIDIKAN Sisfo: Jurnal Ilmiah Sistem Informasi Electron: Jurnal Ilmiah Teknik Elektro Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) International Journal of Information System and Innovative Technology
Agnes Irene Silitonga
Universitas Negeri Medan
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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A Data Mining Approach to Clustering Cases of Violence Against Children in Indonesia Agnes Irene Silitonga; Silitonga, Agnes Irene
International Journal of Information System and Innovative Technology Vol. 4 No. 2 (2025): December
Publisher : Geviva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63322/tc9nng05

Abstract

Violence against children in Indonesia remains a crucial issue that requires a data-driven approach for more targeted interventions. This study aims to cluster provinces in Indonesia based on the number of cases of violence and the types of violence committed, namely physical, psychological, and sexual violence. The method used in this study is the K-Means Clustering algorithm, an unsupervised learning technique in data mining that is able to find hidden patterns in large data sets. Data was obtained from the Ministry of Women's Empowerment and Child Protection's Gender and Child Information System (SIGA), which covers 38 provinces. The clustering results produced three main groups: a cluster with high levels of violence consisting of the provinces of North Sumatra, DKI Jakarta, West Java, Central Java, and East Java; a cluster with moderate levels of violence consisting of 16 provinces; and a cluster with low levels of violence covering 17 provinces. These findings are expected to form the basis for the development of evidence-based child protection policies geographically and thematically.
Penerapan sistem penyiraman tanaman otomatis berbasis tenaga surya bagi petani kancang panjang di Desa Kota Datar Yoakim Simamora; Mega Silfia Dewy; Agnes Irene Silitonga; Michel Frits Immanuel
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 4 (2025): Juli
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i4.32112

Abstract

Abstrak Penerapan sistem penyiraman tanaman otomatis berbasis tenaga surya menawarkan solusi inovatif untuk meningkatkan efisiensi pertanian, khususnya bagi petani kacang hijau di Desa Kota Datar. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem penyiraman otomatis yang memanfaatkan energi surya sebagai sumber daya utama, sehingga mengurangi ketergantungan pada listrik konvensional dan biaya operasional. Sistem ini dirancang dengan komponen utama meliputi panel surya untuk menangkap energi matahari, mikrokontroler sebagai unit pengontrol utama, sensor kelembaban tanah untuk mendeteksi kondisi tanah, dan pompa air DC untuk mengalirkan air. Prinsip kerja sistem ini adalah ketika sensor mendeteksi bahwa kelembaban tanah berada di bawah ambang batas yang ditentukan untuk tanaman kacang hijau, mikrokontroler akan mengaktifkan pompa air secara otomatis. Pompa akan berhenti beroperasi setelah kelembaban tanah mencapai tingkat optimal. Keunggulan utama dari sistem ini adalah kemampuannya untuk beroperasi secara mandiri dan berkelanjutan karena didukung penuh oleh tenaga surya, menjadikannya sangat cocok untuk daerah pedesaan yang mungkin memiliki akses listrik terbatas atau biaya listrik yang tinggi..Kata kunci: penyiraman otomatis; tenaga surya; mikrokontroler; pompa air; sensor kelembapan tanah. Abstract The implementation of an automatic plant watering system powered by solar energy offers an innovative solution to improve agricultural efficiency, particularly for mung bean farmers in Kota Datar Village. This study aims to design and implement an automatic irrigation system that utilizes solar energy as its main power source, thereby reducing dependence on conventional electricity and operational costs. The system is designed with key components including solar panels to capture sunlight, a microcontroller as the main control unit, soil moisture sensors to detect soil conditions, and a DC water pump to deliver water. The working principle of this system is that when the sensor detects that soil moisture is below the threshold level set for mung bean plants, the microcontroller will automatically activate the water pump. The pump stops operating once the soil moisture reaches the optimal level. The main advantage of this system is its ability to operate independently and sustainably, as it is fully powered by solar energy, making it highly suitable for rural areas that may have limited access to electricity or face high electricity costs. Keywords: automatic watering syste; solar power; microcontroler; water pump.
Co-Authors Adi Widarma, Adi Agnes Putri Farida Sitorus Akbar Lubis, Ali Ali Akbar Lubis Anisa Fitri Azmi, Aqilah Bakti Dwi Waluyo Batu, Dewi Pika Lbn Caca Pratiwi Chintia Ni Cinta Rizkia Zahra Lubis Darwita Arini Nasution Dewi Pika Lumban Bantu Enjelina Sinaga Erita Astrid Erni Rukmana Ferry Indra Sakti H. Sinaga Fihi Khoirani Sihotang Ginting, Lukas Hafiz Irwandi Hafiz, Fahrul Al-hamdi Haryadi Haryadi - Hastuti, Pebri Hidayatullah, Amar Histi Trifesi Naibaho Immanuel, Michael Fritz Irwandi, Hafiz Jufri Darma Kanaya Yori Damanik Lisa Melvi Ginting Lumban Toruan, Anjel Monika Mega Silfia Dewy, Mega Silfia Melvi Ginting, Lisa Michel Frits Immanuel Muhammad Isnaini Mutia Ardila Mutiara Agustina Nst Mutiara Akbar Nasution Nerva, Souza Al-Gibrani Nurdina Safitri Panjaitan, Bon Jovi Marselino Panjaitan, Gabriella Dominggoes Prayoga, Wira Pulungan, Annisa Fadhillah Ramadhan, Taufiq Ratu Evina Dibyantini Rizwinie, Khesya Sabila Rudy Chandra S, Muhammada Aulia Rahman Sari, Dwy Puspita Selvia Apriani Sembiring, Muhammad Aulia Rahman Sembiring, Samuel Siahaan, Parlaungan Gabriel Silaban, Fanny Margaretha Simamora, Windi Saputri Sinaga, Ferry Indra Sakti H Situmorang, Hasianna Nopina Teguh Fachri Fahros Thohiri, Roza Tumangger, Emya Malum Karina Tyas Permatasari Vetric Styven Silaban Yatty Destani Sandy Yoakim Simamora Yoakim Simamora Zada Annuri Nabila Zega, Elson