Abstract:The Constitution of the Unitary State of the Republic of Indonesia (NKRI) stipulates that the interests of the people must be voiced and accommodated through legislative channels, represented by the People's Representative…
ve Council (DPR) from the regional to the central government levels. However, it is often found that the hopes of the people are not fully articulated, resulting in certain issues never reaching a final resolution. This study aims to analyze the role of the DPR in voicing the people's interests based on the fourth principle of Pancasila. The method used in this research is qualitative with a literature study approach, where data is collected from various scientific sources. The results of the analysis show that the main functions of the DPR, namely in legislation, oversight, and budgeting, have not been fully optimized due to weak accountability and transparency. This crisis of representation impacts the decline in public trust, low political participation, and increased polarization in society. To address these issues, systemic reforms are needed, including enhancing transparency, strengthening accountability mechanisms, and involving the public actively in the decision-making process. Thus, the goal of the DPR’s existence, which can be achieved, is to voice the will of the people, realize deliberation for consensus, and ensure justice and welfare in line with the substance of Pancasila’s ideology, particularly its fourth principle. This study recommends the need to restore the essence of deliberation for consensus in accordance with the fourth principle of Pancasila, accompanied by better political education and electoral system reforms to ensure that elected representatives are truly competent and focused on the interests of the people.
Abstract:This study aims to analyze the role of adaptive strategies in reducing conflict in the family environment. Through a qualitative approach with case studies, researchers investigate how families deal with and overcome conflict…
flict responsively and flexibly. These findings indicate that adaptive strategies, such as effective communication, healthy emotional management, respect for differences, and negotiation skills, have a crucial role in reducing family conflict. This strategy not only contributes to conflict resolution, but also to growth and emotional closeness among family members. The implications of this research provide insight into how families can address conflict challenges in a constructive way, promote harmonious relationships, and support collective growth.
Abstract:Abstract: This research aims to design and develop a web-based information system to improve efficiency and transparency in handling complaints at PERUMDA Air Minum Tirta Silaupiasa. Poor management of customer complaints…
s will hamper the handling process, provide workload, and reduce the company's image due to the lack of transparency of the information provided. The method used in this research is a qualitative approach through observation and interviews. The results showed that the designed system was able to reduce complaint resolution time, provide clear responses to customers, and provide structured reports to the company. This research confirms that the implementation of a web-based information system not only improves the quality of service to customers, but also improves the company's operational efficiency.
Keywords: customer; efficiency; information system; PDAM; web-based reporting
Abstrak: Penelitian ini bertujuan untuk merancang dan mengembangkan sistem informasi berbasis website guna meningkatkan efisiensi dan transparansi dalam penanganan keluhan di PERUMDA Air Minum Tirta Silaupiasa. Pengelolaan pengaduan pelanggan yang kurang baik akan menghambat proses penanganan, memberikan beban kerja, hingga menurunnya citra perusahaan akibat tidak transparanya informasi yang diberikan. Metode yang digunakan dalam penelitian ini adalah pendekatan kualitatif melalui observasi dan wawancara. Hasil penelitian menunjukkan bahwa sistem yang dirancang mampu mengurangi waktu penyelesaian keluhan, memberikan respon yang jelas kepada pelanggan, serta memberikan laporan yang terstruktur kepada pihak perusahaan. Penelitian ini menegaskan bahwa penerapan sistem informasi berbasis website tidak hanya meningkatkan kualitas layanan kepada pelanggan, namun memperbaiki efisiensi operasional perusahaan.
Kata kunci: efisiensi; pelaporan berbasis web; PDAM; pelanggan; sistem informasi
Abstract:The KKN program as a model of Community Service can be directed at efforts to build community capacity to be more advanced, independent and highly competitive. In accordance with the potential of Bumi Asih Village, Palas…
South Lampung District, KKN is intervened through Entrepreneurship Training for Management and Members of Karang Taruna. The training will motivate Karang Taruna members to continue to innovate and adapt to market conditions, dare to try new products, maximize services and expand markets to face competition and create new, more creative markets. Karang Taruna as a youth organization has a strategic role in developing villages. Karang Taruna Bumi Asih Village is committed to improving youth welfare through Entrepreneurship training to provide various skills and knowledge to spur innovative and inspiring creativity. The method applied is the ABCD (Assets Base Community Development) Pattern with stages; Discovery, Dreams, Design, and Destiny. With the ABCD pattern, youth organizations are directed to be able to recognize and identify social problems that occur, understand, formulate and implement appropriate resolution techniques. With training, Karang Taruna administrators and members will have a strong organizational foundation, be visionary, and have integrity in directing a better life in society. Karang Taruna's real actions can direct the lives of the younger generation in a way that can reduce the unemployment rate in Bumi Asih Village.
Keywords: entrepreneurship; karang taruna, and youth independence.
Abstrak: Program KKN sebagai model Pengabdian kepaad Masyarakat, dapat diarahkan pada upaya membangun kapasitas masyarakat agar lebih maju, mandiri dan berdayasaing tinggi. Sesuai potensi Desa Bumi Asih Kecamatan Palas Lampung Selatan, KKN diintervensikan melalui Pelatihan Kewirausahaan bagi Pengurus dan Anggota Karang Taruna. Pelatihan akan memotivasi anggota Karang Taruna untuk terus melakukan inovasi dan penyesuaian dengan kondisi pasar, berani mencoba produk baru, memaksimalkan layanan dan memperluas pasar guna menghadapi persaingan serta menciptakan pasar baru yang lebih kreatif. Karang Taruna sebagai organisasi kepemudaan memiliki peran strategis dalam membangun Desa. Karang Taruna Desa Bumi Asih berkomitmen untuk meningkatkan kesejahteraan pemuda melalui pelatihan Kewirausahaan guna membekali berbagai keterampilan dan pengetahuan guna memacu kreatifitas yang inovatif dan inspiratif. Metode yang diterapkan adalah Pola ABCD (Assets Base Community Development) dengan tahapan; Discovery, Dreams, Design, dan Destiny. Dengan pola ABCD, karang taruna diarahkan agar mampu menemukenali serta mengidentifikasi permasalahan sosial yang terjadi, memahami, merumuskan dan mengimplementasikan teknik penyelesaiannya secara tepat. Dengan Pelatihan, pengurus dan anggota Karang Taruna akan memiliki dasar organisasi yang kuat, visioner, dan memiliki integritas dalam mengarahkan kehidupan masyarakat yang lebih baik. Aksi nyata Karang Taruna dapat mengarahkan kehidupan generasi muda secara sehingga dapat mengurangi angka pengangguran di Desa Bumi Asih.
Kata Kunci: kewirausahaan; karang taruna, dan kemandirian pemuda.
Abstract:Abstract: Barongan Hamlet is part of Donorojo Village, Tegalrejo District, Magelang Regency. In October 2022, Barongan Hamlet is in the top position for the number of stunting cases in the Donorojo Village area. The number…
er of cases of stunting was recorded in 8 children out of 15 children aged < 5 years. In addition, there were 2 pregnant women, one of whom was detected as having KEK (chronic energy deficiency), so that they have the potential to give birth to stunted babies. One of the factors causing stunting is the lack of knowledge about nutrition during pregnancy and toddlerhood. Seeing the potential and natural resources of the Barongan area which is a rural area, the PPMT Team has a program to optimize the potential for local wisdom of family medicinal plants (toga), especially highly nutritious plants and baby/toddler massage. This activity was carried out using educational methods for cadres, youth, pregnant women and mothers of toddlers in Barongan Hamlet about risk factors, causal factors, prevention and management of stunting in the community. PPMT Team will train cadres, pregnant women and mothers of toddlers in utilizing highly nutritious plants that are easily found in the surrounding environment and doing Tui Na massage for toddlers. This activity is expected to support the resolution of stunting cases and prevent the emergence of new stunting cases. The results of the education and training activities carried out are an increase in knowledge about stunting, an increase in skills in empowering highly nutritious plants as a menu variation for toddlers, and skills in practicing Tui Na massage for toddlers.
Keywords: Stunting; Toga; Tui Na massage
Abstrak: Dusun Barongan merupakan bagian dari Desa Donorojo, Kecamatan Tegalrejo, Kabupaten Magelang. Pada Oktober 2022, Dusun Barongan berada pada posisi teratas jumlah kasus stunting di wilayah Desa Donorojo. Jumlah kasus stunting tercatat 8 anak dari 15 anak usia < 5 tahun. Selain itu, terdapat 2 ibu hamil yang salah satunya terdeteksi mengalami KEK (kekurangan energi kronis), sehingga berpotensi melahirkan bayi stunting. Salah satu faktor penyebab stunting adalah kurangnya pengetahuan tentang pemenuhan nutrisi di masa kehamilan dan masa balita. Melihat potensi dan sumber daya alam wilayah Barongan yang merupakan wilayah pedesaan, Tim PPMT memiliki program untuk mengoptimalkan potensi kearifan lokal tanaman obat keluarga (toga) khususnya tanaman bergizi tinggi serta pijat bayi/balita. Kegiatan ini dilaksanakan dengan metode edukasi bagi kader, remaja, serta ibu hamil dan ibu balita di Dusun Barongan tentang faktor risiko, faktor penyebab, upaya pencegahan dan tatalaksana stunting di masyarakat. Kemudian, Tim PPMT akan melatih kader, ibu hamil dan ibu balita di Dusun Barongan dalam mendayagunakan tanaman bergizi tinggi yang mudah ditemukan di lingkungan sekitar dan melakukan pijat Tui Na untuk balita. Hasil dari kegiatan edukasi dan pelatihan yang dilaksanakan adalah peningkatan pengetahuan tentang stunting, dan mendukung penuntasan kasus stunting, pencegahan munculnya kasus stunting yang baru peningkatan ketrampilan dalam pemberdayaan tanaman bergizi tinggi sebagai variasi menu bagi balita dan ketrampilan melakukan pijat Tui Na untuk balita.
Kata kunci: Pijat Tui Na; Stunting; Toga
Abstract:Abstract: Tech Kios Laptop Kisaran is a business engaged in selling used laptops with various brands and specifications to meet customer needs. However, the selection process is still conducted manually and relies on subjective…
jective judgment, which may result in less accurate recommendations. This study aims to design and implement a Decision Support System using the MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis) method to objectively determine the best used laptop. The criteria applied in this study include brand, screen resolution, laptop size, and battery durability. The system was developed through requirement analysis, system design, implementation, and black-box testing. The results show that the system successfully generates rankings based on MOORA preference values. The highest optimization value of 0.4321 was achieved by Lenovo IdeaPad Slim (A04) and Lenovo ThinkPad (A06), indicating that these two alternatives are the best recommended used laptops. Therefore, the developed system enhances the objectivity, effectiveness, and accuracy of the laptop selection process at Tech Kios Laptop Kisaran.
Keywords: decision support system; MOORA; multi criteria; used laptop; recommendation.
Abstrak: Tech Kios Laptop Kisaran merupakan usaha yang bergerak di bidang penjualan laptop bekas dengan berbagai merek dan spesifikasi untuk memenuhi kebutuhan pelanggan. Namun, proses pemilihan laptop masih dilakukan secara manual dan bergantung pada penilaian subjektif, sehingga berpotensi menghasilkan rekomendasi yang kurang akurat. Penelitian ini bertujuan untuk merancang dan mengimplementasikan Sistem Pendukung Keputusan menggunakan metode MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis) guna menentukan laptop bekas terbaik secara objektif. Kriteria yang digunakan dalam penelitian ini meliputi merek, resolusi layar, ukuran laptop, dan ketahanan daya baterai. Pengembangan sistem dilakukan melalui tahapan analisis kebutuhan, perancangan sistem, implementasi, serta pengujian menggunakan metode black-box. Hasil penelitian menunjukkan bahwa sistem mampu menghasilkan peringkat alternatif berdasarkan nilai preferensi MOORA. Nilai optimasi tertinggi sebesar 0,4321 diperoleh oleh Lenovo IdeaPad Slim (A04) dan Lenovo ThinkPad (A06), yang menunjukkan bahwa kedua alternatif tersebut merupakan rekomendasi laptop bekas terbaik. Dengan demikian, sistem yang dikembangkan mampu meningkatkan objektivitas, efektivitas, dan ketepatan dalam proses pemilihan laptop bekas di Tech Kios Laptop Kisaran.
Kata kunci: laptop bekas; MOORA; multi-kriteria; rekomendasi; sistem pendukung keputusan.
Abstract:Abstract: One of the main challenges in digital image processing is limited resolution, which makes it difficult to preserve visual details when images are enlarged. Conventional methods such as Bilinear Interpolation are…
e commonly used for image upscaling; however, these approaches often produce blurred images, lose fine textures, and fail to reconstruct complex visual structures. This study aims to enhance digital image resolution by employing a deep learni based approach using a Low-Light Convolutional Neural Network (LLCNN) built upon a Deep Neural Network (DNN) architecture. The dataset used in this study is the DIV2K dataset, which consists of 1,000 high-resolution images. These images were downsampled using scaling factors of ×2, ×3, and ×4 to generate paired Low Resolution–High Resolution (LR–HR) data for training and evaluation. The proposed LLCNN is designed to extract important features such as edges, textures, and local patterns through multiple convolutional layers, followed by non-linear mapping to reconstruct high-resolution images more accurately. Quantitative performance evaluation was conducted using the Peak Signal-to-Noise Ratio (PSNR) and the Structural Similarity Index (SSIM). Model performance was evaluated quantitatively using the Peak Signal-to-Noise Ratio (PSNR) metric. Experimental results showed that the proposed method improved image quality compared to the bilinear method. These results indicate that the deep learning based approach effectively improves image sharpness and structural fidelity, thereby demonstrating its potential for digital image resolution enhancement.
Keywords: deep neural network; image resolution; low-light convolutional neural network; machine learning
Abstrak: Permasalahan utama dalam pengolahan citra digital adalah keterbatasan resolusi yang menyebabkan detail visual sulit dipertahankan ketika citra diperbesar. Metode konvensional seperti Bilinear Interpolation masih banyak digunakan, namun sering menghasilkan citra buram, kehilangan tekstur halus, serta tidak mampu merekonstruksi struktur visual yang kompleks. Penelitian ini bertujuan untuk meningkatkan kualitas resolusi citra digital dengan memanfaatkan pendekatan deep learning berbasis Low-Light Convolutional Neural Network (LLCNN) yang dibangun di atas arsitektur Deep Neural Network (DNN). Data yang digunakan dalam penelitian ini berasal dari dataset DIV2K, yang terdiri dari 1000 citra beresolusi tinggi. Citra tersebut diturunkan menjadi resolusi rendah menggunakan faktor downsampling ×2, ×3, dan ×4 untuk membentuk pasangan data Low Resolution–High Resolution (LR–HR) sebagai data pelatihan dan pengujian. LLCNN dirancang untuk mengekstraksi fitur-fitur penting seperti tepi, tekstur, dan pola lokal melalui beberapa lapisan konvolusi, kemudian melakukan pemetaan non-linear guna merekonstruksi citra resolusi tinggi secara lebih presisi. Evaluasi performa model dilakukan secara kuantitatif menggunakan metrik Peak Signal-to-Noise Ratio (PSNR). Hasil eksperimen menunjukkan bahwa metode yang diusulkan mampu meningkatkan kualitas citra dibandingkan metode bilinear. Hasil ini membuktikan bahwa pendekatan berbasis deep learning efektif dalam meningkatkan ketajaman dan kesesuaian struktur citra digital.
Kata kunci: deep neural network; low-light convolutional neural network; machine learning; resolusi citra
Abstract:Abstract: This study aims to develop a Deep Learning-based Traffic Flow Detector to automatically and accurately observe traffic flow. Conventional traffic observation is often conducted manually or via CCTV, but it is prone…
rone to human error and difficult to use for real-time trend analysis. In this study, the YOLOv4 method is used to detect four types of vehicles (cars, motorcycles, buses, trucks). To continuously track vehicle movement and address occlusion issues, the Deep SORT algorithm is implemented. The YOLOv4 model used is a pre-trained model and was tested on seven CCTV video recordings obtained from the official website of the Pekanbaru City Transportation Department. The system was implemented on a limited device, the Nvidia Jetson Nano, as a simulation of direct CCTV integration. Test results showed a highest precision of 98%, but the maximum accuracy achieved was only 26%. This low accuracy is influenced by several factors, including video resolution, detection model quality, and lighting conditions. Nevertheless, the system demonstrates potential to support future traffic management and engineering decisions but still requires further optimization, including improving video resolution and quality, retraining the model with a more representative local dataset, using lighter and more accurate detection models, and optimizing the tracking algorithm.
Keywords: deep learning; deepsort; NVIDIA Jetson NANO; traffic flow; YOLOv4
Abstrak: Penelitian ini bertujuan mengembangkan Traffic Flow Detector berbasis Deep Learning untuk mengobservasi arus lalu lintas secara otomatis dan akurat. Observasi lalu lintas konvensional sering dilakukan secara manual atau melalui CCTV, namun rentan terhadap human error dan sulit digunakan untuk menganalisis tren secara real-time. Pada penelitian ini digunakan metode YOLOv4 untuk mendeteksi empat jenis kendaraan (mobil, motor, bus, truk). Untuk melacak pergerakan kendaraan secara berkelanjutan dan mengatasi masalah occlusion, digunakan algoritma Deep SORT. Model YOLOv4 yang digunakan merupakan pre-trained model dan diujikan pada tujuh rekaman video CCTV yang diambil dari situs resmi Dinas Perhubungan Kota Pekanbaru. Sistem ini diimplementasikan pada perangkat terbatas Nvidia Jetson Nano sebagai simulasi penerapan langsung pada CCTV. Hasil pengujian menunjukkan presisi tertinggi mencapai 98%, namun akurasi tertingginya hanya sebesar 26%. Rendahnya akurasi dipengaruhi oleh beberapa faktor seperti resolusi video, kualitas model deteksi, serta kondisi pencahayaan. Meski demikian, sistem ini menunjukkan potensi untuk membantu pengambilan keputusan dalam manajemen dan rekayasa lalu lintas di masa depan, namun masih membutuhkan optimasi lebih lanjut, seperti peningkatan kualitas video input, pelatihan ulang model dengan dataset lokal, penggunaan model deteksi yang lebih ringan dan akurat serta pengoptimalan algoritma pelacakan.
Kata kunci: deep learning deepsort; Nvidia Jetson Nano; traffic flow; YOLOv4
Abstract:Abstract: Decision Support System (DSS) in telekomunication company service is the key to improving customer satisfaction and operational efficiency. This study aims to assess and select the optional customer service strategy…
ategy using the Mutly Objective Optimization on The Basic of Ratio Analysis (MOORA) method. This approach is used to analyze various indicators such as respon time, complaint resolution, service cost and costomer satisfaction to find the most efficient solution. The research finding indicate that the MOORA method can provide from the calculation results, it was found that the age range <25 years was ranked first as users who felt satisfied with Product Quality, Price, Service Quality, and the most telecommunications users and the second rank was the age range 25-35 years, the third rank was the age range 36-45 years, the fourth rank was the age range >45 years. The implementation of DSS strengthened by MOORA is expected to improve the quality of service and competitiveness of companies in the competitive telecomunication industry.
 Keywords: customer service; DSS; MOORA; telecomunication; optimizationÂ
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Abstrak: Sistem Pendukung Keputusan (DSS) dalam layanan perusahaan telekomunikasi merupakan kunci untuk meningkatkan kepuasan pelanggan dan efisiensi operasional. Penelitian ini bertujuan untuk menilai dan memilih strategi layanan pelanggan opsional dengan menggunakan metode Mutly Objective Optimization on The Basic of Ratio Analysis (MOORA). Pendekatan ini digunakan untuk menganalisis berbagai indikator seperti waktu respons, penyelesaian keluhan, biaya layanan dan kepuasan pelanggan untuk menemukan solusi yang paling efisien. Temuan penelitian menunjukkan bahwa metode MOORA dapat memberikan Dari hasil perhitungan, ditemukan bahwa rentang usia <25 tahun menduduki peringkat pertama sebagai pengguna yang merasa puas terhadap Kualitas Produk, Harga, Kualitas Layanan, dan pengguna telekomunikasi terbanyak dan peringkat kedua adalah rentang usia 25-35 tahun, peringkat ketiga adalah rentang usia 36-45 tahun, peringkat keempat adalah rentang usia >45 tahun. Penerapan DSS yang diperkuat oleh MOORA diharapkan dapat meningkatkan kualitas layanan dan daya saing perusahaan dalam industri telekomunikasi yang kompetitif.
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Kata kunci: DSS; MOORA; layanan pelanggan; telekomunikasi; optimasi
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Abstract:Abstract: Facial recognition is widely used in areas such as video surveillance and database management. Facial images have been used as a preferred biometric feature in many identity recognition systems to obtain good image…
mage results in image segmentation. A good image must pay attention to several factors, namely high resolution, good contrast, image sharpness, consistent colors, lack of noise and appropriate lighting conditions. In this face recognition research, using canny edge detection method for 10 original images paired with 10 other images. The original faces taken are male and female. Canny edge detection has a low error rate in image segmentation compared to other edge detections. The purpose of this study is to determine the edge of the image in I-rat and can display the results of a good segmentation of facial images. The results of the test data with data stored in the database in the study is 1 face image produces 67.69% accuracy and 26.92% and 8 other face images produce 100% accuracy. The average success rate of 10 experiments using image segmentation is 89.461%. In conclusion, the canny edge detection method can provide accurate results in the face recognition process.
Keywords: accuracy; canny edge detection; face recognition; image; segmentation
Abstrak : Pengenalan wajah banyak digunakan dalam diberbagai bidang seperti pengawasan video dan manajemen basis data. Gambar wajah telah digunakan sebagai ciri biometrik yang disukai di banyak sistem pengenalan identitas untuk mendapatkan hasil citra yang bagus dalam segmentasi citra. Citra yang baik harus memperhatikan beberapa faktor yaitu resolusi tinggi, kontras yang baik, ketajaman citra, warna yang konsisten, kurangnya noise dan kondisi pencahayaan yang sesuai. Pada penelitian pengenalan wajah ini, menggunakan metode deteksi tepi canny untuk 10 citra asli yang dipasangkan dengan 10 citra lainnya. Wajah asli yang diambil berjenis kelamin laki-laki dan perempuan. Deteksi tepi canny memiliki tingkat kesalahan rendah dalam segmentasi citra dibandingkan dengan deteksi tepi lainnya. Tujuan dari penelitian ini adalah menentukan tepi gambar secara akurat dan dapat menampilkan hasil segmentasi citra wajah yang baik. Hasil dari data uji dengan data yang tersimpan di database dalam penelitian adalah 1 citra wajah menghasilkan akurasi 67,69% dan 26,92% dan 8 citra wajah lainnya menghasilkan akurasi 100%. Rata-rata tingkat keberhasilan dari 10 kali percobaan dengan menggunakan segmentasi citra adalah 89,461%. Kesimpulan, metode deteksi tepi canny dapat memberikan hasil yang akurat dalam proses pengenalan wajah.
Kata Kunci : akurasi; deteksi tepi canny; citra; pengenalan wajah; segmentasi