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Peringkasan Otomatis Multi Dokumen menggunakan Hirarki Kluster Lukman Hakim; Fadli Husein Wattiheluw; Agus Zainal Arifin; Aminul Wahib
Jurnal Linguistik Komputasional Vol 1 No 2 (2018): Vol. 1, No. 2
Publisher : Indonesia Association of Computational Linguistics (INACL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jlk.v1i2.86

Abstract

Multi-document summarization is a technique for getting information. The information consists of several lines of sentences that aim to describe the contents of the entire document relevantly. Several algorithms with various criteria have been carried out. In general, these criteria are the preprocessing, cluster, and representative sentence selection to produce summaries that have high relevance. In some conditions, the cluster stage is one of the important stages to produce summarization. Existing research cannot determine the number of clusters to be formed. Therefore, we propose clustering techniques using cluster hierarchy. This technique measures the similarity between sentences using cosine similarity. These sentences are clustered based on their similarity values. Clusters that have the highest level of similarity with other clusters will be merged into one cluster. This merger process will continue until one cluster remains. Experimental results on the 2004 Document Understanding Document (DUC) dataset and using two scenarios that use 132, 135, 137 and 140 clusters resulting in fluctuating values. The smaller the number of clusters does not guarantee an increase in the value of ROUGE-1. The method proposed using the same number of clusters has a lower ROUGE-1 value than the previous method. This is because in cluster 140 the similarity values ​​in each cluster experienced a decrease in similarity values.
Rancang Bangun Prototipe Sistem Pemantauan Parkir Real-Time Berbasis Internet Of Things (IoT) David Juli Ariyadi; Mas'ud Hermansyah; Reza Putra Pradana; Lukman Hakim; Ely Mulyadi
Jurnal Informatika Polinema Vol. 12 No. 3 (2026): Vol. 12 No. 3 (2026)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i3.8912

Abstract

Perkembangan teknologi pada era Revolusi Industri 4.0 mendorong pemanfaatan sistem cerdas berbasis Internet of Things (IoT) dalam pengelolaan fasilitas publik, termasuk sistem parkir. Di lingkungan kampus, pengelolaan parkir yang masih dilakukan secara manual menyulitkan pemantauan ketersediaan lahan parkir secara real-time dan berpotensi menimbulkan ketidakteraturan. Berdasarkan data internal kampus tahun 2025, jumlah mahasiswa dan pegawai aktif mencapai sekitar 352 orang, sementara kapasitas lahan parkir hanya mampu menampung sekitar 250 kendaraan. Ketidakseimbangan ini menyebabkan kepadatan parkir yang tinggi, terutama pada jam perkuliahan pagi hingga siang hari, sehingga diperlukan sistem pemantauan parkir yang lebih efektif dan terintegrasi. Penelitian ini bertujuan untuk merancang dan membangun prototipe sistem pemantauan parkir real-time berbasis IoT yang terintegrasi dengan database, dashboard web, dan aplikasi mobile. Metode penelitian yang digunakan meliputi tahapan identifikasi masalah, studi literatur, pengembangan prototipe, uji coba dan evaluasi, revisi dan pengembangan, serta implementasi sistem. Sistem yang dikembangkan memanfaatkan sensor RFID, mikrokontroler, indikator lampu, LCD, speaker, serta koneksi jaringan untuk mengirimkan data ke server database. Hasil pengujian menunjukkan bahwa jarak efektif pembacaan sensor RFID berada pada kisaran 1–2 cm, sedangkan pada jarak di atas 3 cm sensor tidak dapat mendeteksi kartu secara valid. Integrasi sistem dengan database menunjukkan kinerja stabil dengan rata-rata waktu tampilan data pada LCD sebesar 1,16 detik dan waktu penyimpanan data ke database sebesar 3,86 detik. Hasil ini menunjukkan bahwa sistem mampu melakukan pemantauan parkir secara cepat dan sinkron, sehingga berpotensi mendukung implementasi sistem parkir cerdas dalam konsep smart campus.
Diseminasi Layanan Digital berbasis Artificial Intelligence di Kelurahan Tompokersan Lumajang Untuk Mendukung Terwujudnya Tata Kelola Inovatif Lukman Hakim; Husin Husin; Choirul Huda; Denny Wijanarko; Dhony Manggala Putra; Muhammad Aiman; Audrey Pramudita Sudarmanto; Nabila Tri Andita Ramadani
Journal of Community Development Vol. 5 No. 3 (2025): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i3.1444

Abstract

Village Government is a miniature of the state and the front door after the family to build Human Resources (HR). One of the aims of the state is to provide service functions to the community.  Tompokersan village, Lumajang has implemented technology in its certificate-making services. The existing services are less effective because letter submitting still uses Google Forms. The service has several weaknesses, namely does not have a queue mechanism for submitting certificates, cannot prevent unauthorized users, submission data is not integrated, does not have AI-based customer service such as chatbots, and RT/RW heads carry out manual approval. This is considered less effective and has not been fully digitized. This makes the governance of Tompokersan Village less good. Tompokersan village requires a web and mobile-based information system that can solve these problems. Several certificates are usually made by the village, including a business certificate, a domicile certificate, a certificate of not being married, a certificate of being unable to pay, a death certificate, a birth certificate, and other certificates. This service aims to realize innovative governance in the Tompokersan village.  The results of the dissemination of Digital Services can solve partner problems, namely reducing queues at the sub-district office, validation by RT and RW heads can be done digitally, sub-district officers can easily record and report, and the public can participate in monitoring the status of letters that have been submitted via the mobile application.