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All Journal Jurnal Informatika Jurnal BALIRESO ILKOM Jurnal Ilmiah Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) Celebes Abdimas: Jurnal Pengabdian Kepada Masyarakat Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Abdidas Indonesian Journal of Data and Science Jurnal Minfo Polgan (JMP) Buletin Sistem Informasi dan Teknologi Islam Ilmu Komputer untuk Masyarakat Bulletin of Social Informatics Theory and Application Celebes Journal of Community Services Jurnal Informatika Linier: Literatur Informatika dan Komputer
Ramdan Satra
Universitas Muslim Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Kipas Angin Otomatis Berbasis Arduino Uno Menggunakan Sensor DHT11 Syamsuddina, Khalish Ghandur; Satra, Ramdan; Manga, Abdul Rachman
LINIER: Literatur Informatika dan Komputer Vol 1, No 1 (2024)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/linier.v1i1.2267

Abstract

Suhu tubuh Manusia bervariasi tergantung dengan kondisi ruangan dan faktor-faktor seperti iklim tropis dan pemanasan global di Indonesia. Oleh karena itu, diperlukan alat pendingin untuk memberikan kenyamanan dengan menurunkan suhu dan menciptakan suasana yang lebih sejuk.Alat pendingin yang umum digunakan adalah kipas angin. Namun, sebagian besar kipas angin yang tersedia saat ini masih bersifat manual, mengharuskan pengguna untuk menekan atau memutar tombol pada badan kipas untuk menghidupkan atau mematikannya. Kendala ini sering membuat manusia enggan mengoperasikan kipas, karena harus mendekati alat tersebut. Sebagai solusi, telah dikembangkan kipas angin otomatis yang menggunakan sensor suhu (DHT11) dan dikendalikan melalui Arduino Uno. Sensor DHT11 berfungsi untuk mengukur suhu ruangan, sementara Arduino bertugas sebagai pengendali. Tujuan dari pengembangan kipas angin otomatis ini adalah untuk memberikan kemudahan kepada pengguna dalam mengontrol kipas angin Dalam pengujian, kipas otomatis akan menyala jika sensor membaca suhu ruangan 30°C atau lebih, dan akan mati jika suhu berada pada 29°C ke bawah. Dengan demikian, alat ini memberikan kenyamanan tanpa memerlukan interaksi manual yang intensif.
Artificial Intelligence (AI) using Long Short-Term Memory (LSTM) for Sales Prediction in Campus Minimarkets L, Harlinda; Manga, Abdul Rachman; Satra, Ramdan
Indonesian Journal of Data and Science Vol. 7 No. 1 (2026): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v7i1.373

Abstract

This study applies Artificial Intelligence (AI) using the Long Short-Term Memory (LSTM) algorithm to predict daily sales at the FIKOM-UMI Minimarket. Sales data from 2023 to 2024 involving 82 items were used and processed into a time series format. Five LSTM architectural scenarios were tested, including baseline, bigger model, lightweight, bidirectional LSTM, and single-layer medium, to identify the most effective model in capturing sales patterns. The data underwent preprocessing stages, including daily aggregation, reindexing to fill missing dates, and normalization using MinMaxScaler before being transformed into sequences with a 30-day time step. Model performance was evaluated using MSE, RMSE, MAPE, and accuracy metrics. The results show that the Bidirectional LSTM (Scenario 4) achieved the best performance, with the lowest MAPE of 19.43% and the highest accuracy of 80.57%. The model successfully generated stable predictions for 7-day and 30-day forecasting with a range of 153–155 units per day, indicating consistent sales patterns. Testing on the top 10 best-selling items showed significant performance variation, with GARUDA ROSTA BWNG 100 Gram achieving the highest accuracy (46.97%), while aoka rasa pandan showed the lowest performance (-76.05%). These findings demonstrate that the LSTM model can be effectively applied for sales prediction in campus minimarkets; however, a hybrid approach with product segmentation is recommended to optimize inventory management across product categories with varying levels of predictability
Co-Authors A. Muh. Fuad Dzikrulkhair Abdul Rachman Abdul Rachman Abdullah, Syahrul Mubarak Adam Ali Abdalla, Modawy Akhyar Abdullah Amal Israk Amaluddin Amaluddin Amran, Ainun RatuBulqis Andani Achmad andi Widya Mufila Gafar Ari Bayu Saputra Arief Rachmansyah Arifin, Muh Awal Arun Samudra Alfatiha As'ad, Ihwana Busaeri, Siti Rahbiah Dewi Widyawati Dhimas Tribuana Djainuddin, Djainuddin Dolly Indra Erick Irawadi Alwi Erick Irawadi Alwi, Erick Irawadi Fahmi Fahmi Faradibah, Amaliah Farniwati Fattah Fathur Rahman Fattah, Farniwati Fattah, Muhammad Hattah Fatwa Hadi Ilham Pamungkas Febryan, Febryan Ferri Ardiwinata Firman Gunawan Fitriyani Umar Gaffar, Andi Widya Mufila Haeruddin, Harjuni Harlinda Lahuddin Harlinda, Harlinda Harno Supardin Harno Supardin Hayudin Hasnanda Maila Herman Herman Heru Sukoco Huzain Azis Irfan Irfan Irnawati Irnawati Irwan Ardyansah Iskandar, M. Iqbal Kasman Kasman Konate, Siaka L, Harlinda Lahuddin, Harlinda lilis nurhayati Lokapitasari Belluano, Poetri Lestari Lutfi Budi Ilmawan Manga, Abdul Rachman Manga, Abdul Rachman Ming Foey Teng, Ming Foey Moh Zul Fitrah Mokh Sholihul Hadi Mokoagow, Akbar Rizki Mude, Muh. Aliyazid mufila Gaffar Muh. Aliyazid Mude Muhammad Arfah Asis Muhammad Fajrul Muhammad Fauzan Abdillah Rasyid Muhammad Rifaldi Umasugi Nidhom, Ahmad Mursyidun Nur Asri Ainun Gani Nur Azizah Khoirunnisa Nur Indah Nur Indah, Nur Nurmainna Nurmainna Rahman, Agussalim Rahman, Risna Rahayu Rahmat Suriadi Saiman, La Salawali, Cici Trisnawati Selvi Marcellia Sheila Nur Afni Zafitri Siska Anraeni Sujito Sujito Sulistia Ningsih, Sulistia Syafie, Lukman Syahrul Syahrul Syamsuddina, Khalish Ghandur Syamsul Arifin Umar Mansyur Usman Usman Uswatun Nurul Hasanah Wahyu Iriansyah Sopamena Wisnu Ananta Kusuma Yasin, Nurfatwa Andriani Yulita Salim Yus Andika Yunus Yusuf, Hadi Yuyun, Yuyun Zul Fahmi