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All Journal Zeta - Math Journal Jurnal Minfo Polgan (JMP)
Hamdani, M. Yusuf
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Computer Science & IT Library & Information Science Mathematics Social Sciences

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Analisis Peramalan Profitabilitas PT. Samudera Indonesia Tbk Menggunakan Metode Regresi Linear Shiela, Fadia Jasmine Has; Hasanah, Indah Karimatul; Herlambang, Teguh; Ramadhan, Rizky; Hamdani, M. Yusuf; Nafa, Mulya
Zeta - Math Journal Vol 9 No 1 (2024): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.1.41-49

Abstract

Logistics companies contribute significantly to economic growth and play an important role in global supply chains. Profitability is the main indicator of business success. The profit forecasting model helps managers improve financial performance efficiently and effectively. This research optimizes the financial performance of PT Samudera Indonesia Tbk by forecasting net profit using the linear regression method. Financial data from 2018 to 2023 was collected from the IDX website. Simulation analysis using Python shows that the independent variables in linear regression have a significant effect on the profitability of PT Samudera Indonesia Tbk. The regression coefficient shows the strength of the relationship between the independent and dependent variables. Linear regression models can predict profitability based on the variables considered. The aim of this research is so that PT Samudera Indonesia Tbk can carry out better financial planning and decisions based on accurate predictions. This research contributes to improving the operational efficiency and effectiveness of the company's business strategy, which has a positive impact on profitability and long-term growth. Overall, the application of the linear regression method in forecasting, with an RMSE value of 0.0645, is an effective tool for PT Samudera Indonesia Tbk to optimize financial performance amidst complex business competition.
Pemanfaatan Teknologi Internet of Things (IoT) pada Smart House untuk Mitigasi Kebocoran Gas dan Pengendalian Suhu pada Ruang Pemeriksaan Dokter di Klinik Purwanto, Imam; Hamdani, M. Yusuf
Jurnal Minfo Polgan Vol. 14 No. 2 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i2.15699

Abstract

Pemanfaatan teknologi Internet of Things (IoT) pada smart house memberikan peluang untuk meningkatkan aspek keamanan dan kenyamanan ruang pemeriksaan dokter di klinik. Penelitian ini bertujuan merancang dan mengimplementasikan sistem monitoring berbasis IoT untuk mendeteksi kebocoran gas dan perubahan suhu secara real-time. Metode yang digunakan meliputi perancangan perangkat keras dengan mikrokontroler ESP32 yang terintegrasi dengan sensor MQ-135 sebagai pendeteksi gas berbahaya dan sensor DHT22 sebagai pemantau suhu serta kelembaban. Sistem juga dilengkapi OLED display, buzzer, dan relay untuk menampilkan informasi dan memberikan respons otomatis terhadap kondisi tidak aman. Hasil pengujian menunjukkan bahwa sistem mampu bekerja secara responsif, akurat, dan stabil dalam mendeteksi perubahan lingkungan. Notifikasi bahaya dapat dikirimkan secara real-time melalui aplikasi Blynk. Berdasarkan hasil tersebut, pemanfaatan IoT pada smart house efektif dalam meningkatkan keselamatan, kenyamanan, dan kendali lingkungan pada ruang pemeriksaan dokter di klinik.
Co-Authors Hasanah, Indah Karimatul Imam Purwanto Nafa, Mulya Rizky Ramadhan, Rizky Shiela, Fadia Jasmine Has Teguh Herlambang