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All Journal Jurnal Sains dan Informatika Jurnal Informatika dan Rekayasa Perangkat Lunak JIMTEK
Asep Hardiyanto Nugroho
Universitas Islam Syekh-Yusuf
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mathematics

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RANCANG BANGUN SMART HOME SISTEM BERBASIS INTERNET OF THINGS MENGGUNAKAN TELEGRAM MESSENGER BOT Dzikri Ardiansyah; Asep Hardiyanto Nugroho; Haryanto
JURNAL ILMIAH FAKULTAS TEKNIK Vol 6 No 1 (2026): Mei - Oktober 2026
Publisher : Universitas Islam Syekh Yusuf Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33592/jimtek.v6i1.9079

Abstract

Perkembangan teknologi Internet of Things (IoT) telah memungkinkan integrasi perangkat elektronik untuk dikontrol secara otomatis dari jarak jauh. Penelitian ini merancang sistem smart home berbasis ESP32 yang dikendalikan melalui Telegram Messenger Bot, dengan fitur otomatisasi kipas angin dan lampu menggunakan sensor DHT11 dan LDR. Logika ambang batas digunakan untuk menentukan kapan perangkat menyala atau mati, sementara algoritma Decision Tree digunakan untuk mengevaluasi akurasi pengambilan keputusan sistem berdasarkan data sensor. Sistem diuji pada kondisi nyata dan dibandingkan dengan alat pembanding seperti termometer digital dan aplikasi lux meter. Hasil pengujian menunjukkan akurasi 100% untuk pengendalian kipas pada suhu ≥ 27°C dan lampu pada intensitas cahaya ≤ 500 lux. Sistem ini memberikan kemudahan kontrol, efisiensi energi, dan peningkatan kenyamanan bagi pengguna.
Prediksi Kelulusan : Pendekatan Machine Learning Menggunakan Metode SMOTE Mohammad Ridwan; Sukisno Sukisno; Asep Hardiyanto Nugroho; Taufik Hidayat
Jurnal Sains dan Informatika Vol. 12 No. 1 (2026): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v12i1.1661

Abstract

In the realm of education, timely graduation stands as a pivotal indicator in evaluating the effectiveness of the education system. However, predicting timely graduation remains a challenge due to numerous influencing and interacting factors. In this study, researchers utilized machine learning methods to construct a predictive model capable of identifying students at high risk of not graduating on time based on their academic performance data. The dataset utilized encompassed information such as subject grades and the Grade Point Average from their previous academic records. The researchers proposed employing classification methods in the dataset prediction process, including Decision Tree (Tree), Random Forest (RF), Naive Bayes (NB), and Artificial Neural Network (ANN). To optimize dataset processing, they employed the Synthetic Minority Oversampling Technique (SMOTE) to handle imbalanced datasets. This approach yielded the best results when the original imbalanced dataset was transformed using the SMOTE technique. It was found that the RF method exhibited a dominant advantage over other methods, delivering the highest accuracy score of 99.3%, surpassing the Tree method by 0.2%. In conclusion, it can be inferred that the RF classification model, coupled with the SMOTE technique, can be optimally applied in predicting timely graduation.
Metode System Development Life Cycle dalam Perancangan Sistem Informasi Kuliah Kerja Kemasyarakatan Taufik Hidayat; Abi Mobarrok; Sukisno Sukisno; Asep Hardiyanto Nugroho
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 2 (2024): September
Publisher : Universitas Wahid Hasyim

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Abstract

Our annual activity, Community Service Internship, will be conducted this semester. Previously, this reporting activity was carried out by sending pictures via WhatsApp. So, we created a reporting system to make it more efficient. Now, the reporting process will be handled through a website and monitoring will also be done through the website. This will make it easier for both participants and mentors to carry out the activity," he said. The methodologies used are SDLC (System Development Life Cycle) for documentation and Prototype methodology for system design. ISO 9126 has been used for system testing with a functionality score of 84% and a usability score of 89.45%. So, from testing to system design to documentation, everything was done as per the requirements.
Co-Authors Abi Mobarrok Dzikri Ardiansyah Haryanto Mohammad Ridwan Sukisno Sukisno Taufik Hidayat