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All Journal Jurnal Tecnoscienza G-Tech : Jurnal Teknologi Terapan Infotech: Jurnal Informatika & Teknologi International Journal Software Engineering and Computer Science (IJSECS) sudo Jurnal Teknik Informatika Teknika Journal of Creative Student Research Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) Journal Of Artificial Intelligence And Software Engineering Jurnal Informatika Dan Tekonologi Komputer Tech : Journal of Engineering Science Smatika Jurnal : STIKI Informatika Jurnal
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Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Prediksi Harga Tanah menggunakan Machine Learning Algoritma Regresi Linier Arjunnajah Muhammad Samhan; Aprilisa Arum Sari; Pramono Pramono
Journal of Creative Student Research Vol. 4 No. 4 (2026): Agustus: Journal of Creative Student Research
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jcsr-politama.v4i4.6411

Abstract

Conventional land price determination in Surakarta City remains manual, subjective, relying on personal assessments that tend to follow land prices in the surrounding area, and is inefficient for large-scale data. This study aims to implement the Multiple Linear Regression algorithm to predict land prices based on physical and environmental characteristics. The data used comprises 1,923 offer and transaction records for land from 2021 to 2024 sourced from the Surakarta City Land Office. The methodology employed is CRISP-DM, which consists of six stages: business understanding, data understanding, data preparation (including cleaning, normalization, and data splitting into 80% training data and 20% testing data), modeling, evaluation, and deployment. The features used include land area, road width, distance to the city center (derived from X,Y coordinates), building area, number of floors, and road class (one-hot encoding). The results show that the model achieved an R² = 0.7767, RMSE = IDR 684.3 million, and MAE = IDR 503.9 million. The RMSE is smaller than the standard deviation of land prices, IDR 1,493,000,000, indicating that the model is considered good. The model coefficients indicate that building area and land area have the largest positive influence, while distance to the city center has a negative effect. A Streamlit-based prediction prototype has been deployed to facilitate users in inputting land parameters and obtaining real-time price estimates. This study contributes an objective, fast, and easily interpretable prediction model for use by government agencies and property practitioners in decision-making.
Implementation Of Content-Based Filtering For a Cat Food Recommendation System Amanda Putri Setiawan; Dwi Hartanti; Pramono Pramono
Journal of Artificial Intelligence and Software Engineering Vol 6, No 2 (2026): Juni (OnProgress)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i2.9305

Abstract

This research discusses the implementation of the Content-Based Filtering method in a cat food recommendation system. The problem in this research is motivated by the difficulty of cat owners and pet shops in determining appropriate food, because there are many variations of products that differ in cat age, type of food, brand, price, composition, nutritional content, and product characteristics. This research was conducted to create a recommendation system that can help users in determining the appropriate cat food choice, by looking at product characteristics and specific needs of cats. This research utilizes the Content-Based Filtering method to analyze and recommend products, through the stages of data collection, data preprocessing, attribute weighting using Term Frequency-Inverse Document Frequency, and similarity calculation using Cosine Similarity. The research data was obtained through observation, interviews, literature study, and documentation of cat food products. The results show that the system built can help users determine cat food based on the suitability between user criteria, cat needs, and product characteristics. This system can also facilitate users in obtaining information and appropriate cat food choices. Based on this, the Content-Based Filtering method is considered effective to be applied in a recommendation system, to assist the cat food selection process in a more structured and efficient manner.
Prototipe Aplikasi Mobile SmartKuliner untuk Promosi dan Edukasi Produk UMKM Kuliner Kreatif dengan Pendekatan Cross-Platform Pramono Pramono; Nibras Faiq Muhammad
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 3 (2025): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i3.8341

Abstract

The culinary creative sector within Micro, Small, and Medium Enterprises (MSMEs) plays a vital role in supporting the local economy, yet its development is constrained by limited digital marketing and insufficient product education. This research introduces SmartKuliner, a cross-platform mobile application prototype intended to strengthen digital promotion and consumer learning for culinary MSMEs. Developed using the Research and Development (R&D) method with a prototyping approach, the application features interactive multimedia such as product catalogs, educational materials, and branding support. Usability evaluation through the System Usability Scale (SUS) confirmed its practicality and ease of use. The results show that SmartKuliner provides MSMEs with an accessible tool to expand market opportunities and enhance product knowledge.
Sistem Pemantauan & Kendali Suhu dengan Mekanisme Backup Database Server di PT Hasan Network Grup Ajeng Ayu Arumsari; Angga Sebastian; Ahmad Hasan Mustofa; Pramono Pramono
sudo Jurnal Teknik Informatika Vol. 3 No. 2 (2024): Edisi Juni
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/sudo.v3i2.499

Abstract

Dalam era digital saat ini, stabilitas dan keamanan server sangat penting untuk kelangsungan operasional bisnis dan organisasi. Penelitian ini mengembangkan sebuah sistem yang mengintegrasikan pemantauan dan pengendalian suhu server dengan mekanisme backup database secara otomatis, menggunakan studi kasus di PT Hasan Network Grup. Sistem ini dirancang untuk mengatasi dua masalah utama dalam manajemen server: risiko overheating yang dapat menyebabkan kerusakan hardware dan hilangnya data akibat kegagalan sistem. Pemantauan suhu dilakukan secara real-time menggunakan modul sensor suhu dan kelembaban DHT22 yang terpasang pada server. Data suhu yang diperoleh dikirimkan ke pusat kontrol melalui mini PC Orange Pi Zero, yang berfungsi sebagai pusat pengolahan dan pengendalian. Data yang diterima dianalisis untuk mendeteksi kondisi yang tidak normal. Jika suhu melebihi batas yang telah ditentukan, sistem kendali akan mengaktifkan mekanisme pendinginan tambahan untuk mencegah overheating dan backup database otomatis untuk mencegah kehilangan data ketika server force shutdown pada saat terjadi overheating, dan selanjutnya akan memberikan notifikasi otomatis melalui Telegram Bot. Hasil pengujian di PT Hasan Network Grup menunjukkan bahwa sistem yang dikembangkan mampu menjaga suhu server dalam batas aman dan melakukan backup data secara efektif. Implementasi sistem ini diharapkan dapat meningkatkan keandalan dan keamanan server, serta meminimalkan risiko kehilangan data dan kerusakan perangkat keras.
Co-Authors Abdullah Azza Al Abbas Adha Minan Basori Adi Lukman Maulana\ Aditiya Rasendra Putra Aditya Herlambang Saputra Afif Adam Mughnansyah Ahmad Dwi Rifa’i Ahmad Hasan Mustofa Ahmad Saifudin Ajeng Ayu Arumsari Alberthino Ramadhan Oktaviano Albertus Radya Winny Putra Aldita Kusuma Wardana Alfian Muhammad Fernanda AlFriska Fefviana Sigit Saputra Alif Fahmi Syaifuddin Alvifah Diyan Safitri Amanda Putri Setiawan Ananda Aufa Rafiqi Andika Mahendra Yudhistira Angel Tesalonika Angga Sebastian Anggi Aziyah Kusumaingrum Anindhiasti Ayu Kusuma Asri Aprilisa Arum Sari Arif Kurniawan Arjunnajah Muhammad Samhan Aughestin Neizza Frisenta Azis Maulana bagus esti tomo Bayu Tri Kusuma Berkah Yordan Santoso Bernardus Unggul Perwito Sejati Cantika Risky Ramadhana Pawestri Daffa Tusi Santoso Desta Aditya Desta Putra Sandhiya Ependi Devani Ula Ainurofiqi Dhian Joedhistiro Dias Faturrahman Wicaksono Dimas Adji Yoga Saputra Dinda Apriliani Putri Dista Dian Saputri Domingos De Jesus R.Monteiro Dony Ibnu Prakoso Dwi Hartanti Dyah Yulia Ratnadewati Edwin Pavel Ekapagliuca Eka Rizki Suwarno Erick Mikha Santosa Erlangga Bayu Yudho Prakoso Fadia Aulia Azizah Faris Pratama Putra Fauzi Bondan Prihananto Fendi Untoro Ferdian Ady Sudrajat Fitra Mustofa Fitria Ayu Novitasari Gaten Isnan Abdurrozaq Gigieh Priambodo Hanindito Rido Prehata Hasan Azhary Hawi Dian Putra Anugrah Higmatul Najib Ananda Saputra Ibnu Khairul Huda Iqbal Abdul Aziz Iqbal Syabudin Ira Fitri Chorliana Dewi Irawan, Ridwan Dwi Irfan Dwi Rangga Premana Irfan Harviansah Ismail Fikrun Amin Kahfi Andhika Pratama Linda Nuzul Kharismasari Maulindar, Joni Mochammad Rizky Adjie Prakoso Muh Devano Alfarizy Muhamad Rifky Hafan Muhammad Alive Muflih Muhammad Andi Ghalib Muhammad Anugrah Putra Muhammad Hanif Hilmi Muhammad Lutfi Al Hafizh Muhammad Mukhlisul Fuad Muhammad Rezan Arifana Putra Muhammad Syailendra Surya Viadar Mukhlis Ash Shidiqi Nabil Abdul Majid Nabila Wahyu Ningtias Natan Setyo Agung Nibras Faiq Muhammad Nibras Faiq Muhammad Noviadhi Kusuma Nurchim Otto Santoso Putro Pandu Surya Abiansyah Pipin Widyaningsih Pipin Widyaningsih Pramudya Aziz Wisnuadi Wisnuadi Pratama Nur Hadiansah Rafi Alif Nur Safa Rahadyan Bintang Pamungkas Ridlo Fauzi Rakhmadiant Ringgyanita Ahwadti Rio Sandy Laksono Rizky Ardiva Dwitama Putra Rizky Rama Mulyawan Rizky Vera Oktarina Rofi’ Yuantomo Rudi Susanto Santika Sari Satriyo Wicaksono Satya Yoma Patria Risky Savina Dyah Arwiana Stefanus Ardi Prasetyo Surya Prana S Syahrul Yovi Distyanto Tomy Anugerah Islami Trafrika Nining Erina Vicky Galih Pamungkas Vicky Rachmad Nur Faddly Wiji Lestari Wijiyanto Yudhistira Adhiaraka Yuri Tri Wibowo Yusuf Iskandar Royan Yuyun Prastiwi