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All Journal English Education Journal Moneter : Jurnal Akuntansi dan Keuangan Sisfo: Jurnal Ilmiah Sistem Informasi
Hasyimi Abdullah
Politeknik Negeri Lhokseumawe
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences

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EMERGED LANGUAGE TEACHING METHODOLOGIES IN POLYTECHNIC: CORPUS LINGUISTICS AND DIALOGIC PEDAGOGY IN POLYTECHNIC: CORPUS LINGUISTICS AND DIALOGIC PEDAGOGY Ilham Jaya; Hasyimi Abdullah; Amru Muhammad; Wahdaniah Wahyudi; Emilda Emilda
English Education Journal Vol 11, No 2 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (332.656 KB)

Abstract

This study discusses the emerged language teaching methodologies practiced in Engineering Fields. There are many methods applied in teaching language. However, the needs of technical fields in English learning, especially for workforce, academic and social demand, seemed to have appropriate treatment. Career choice has given a great impact influencing the study of English language. In addition, there are specific needs in the engineering workplace that are inevitably used by engineers to correspond with their colleagues or customers. This situation leads to some thought in English for specific purpose practices. Recently, there are two teaching methodologies adjusted for the needs of technical school students that are being studied. First, Corpus linguistics: the lexical approach has been mostly practiced before. Innovated by data-driven corpus, this methodology arises as to the new common method applied in the engineering area. Second, Dialogic Pedagogy: the thought of dialogism is grounded by the sociocultural theory that considers learning as a social act. Social engagement is believed in improving one’s ability to be a decider and problem solver. Through dialogic pedagogies, students learn to eliminate some problems related to language barriers, such as the anxiety to speak English and apprehensiveness in making mistakes.
Analisis Kesehatan Bank Umum Syariah Berdasarkan Metode RGEC terhadap Profitabilitas di Indonesia Muhammad Nasir; Safaruddin Safaruddin; Nanang Prihatin; Filza Humaira; Hasyimi Abdullah
MONETER - JURNAL AKUNTANSI DAN KEUANGAN Vol 10, No 1 (2023): Periode April 2023
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/moneter.v10i1.13424

Abstract

Tujuan penelitian ini untuk memperoleh jawaban tentang kondisi kesehatan Bank Umum Syariah (BUS) menggunakan metode RGEC (Risk Profile, Good Corporate Governance, Earnings, Capital) di Indonesia serta pengaruhnya terhadap profitabilitas. Ukuran profil risiko menggunakan NPF, earnings dengan BOPO, dan modal dengan CAR sedangkan profitabilitas dengan ROA. Pengamatan dilakukam selama 20 triwulan mulai Maret 2016 hingga Desember 2020. Data terutama diperoleh dari Otoritas Jasa Keuangan berupa data sekunder. Populasi berjumlah 13 BUS, dan penarikan sampel menggunakan kriteria tertentu sehingga didapatkan 5 BUS sebagai sampel. Model analisa yang dipakai ialah regresi linear berganda data panel. Penentuan model terbaik didapatkan dari Uji Chow, Hausman, serta Langrange Multiplier. Hasil uji merekomendasikan Fixed Effect Model sebagai model terbaik. Hasil statistik deskriptif menyimpulkan secara umum kesehatan bank berada pada kriteria sehat. Uji simultan menghasilkan NPF, GCG, BOPO dan CAR signifikan berpengaruh terhadap profitabilitas BUS di Indonesia. Uji parsial merekomendasikan  BOPO dan CAR signifikan,  sedangkan  NPF serta GCG tidak signifikan pengaruhnya
Implementation of Edge Intelligence in an IoT-Based Automatic Plant Watering System Using a Classification Algorithm Mulyadi Mulyadi; Zulfan Khairil Simbolon; Hendrawaty Hendrawaty; Hasyimi Abdullah
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.27263

Abstract

This study discusses the application of Edge Intelligence in an Internet of Things (IoT)-based automatic plant watering system by utilizing the Decision Tree algorithm to support the concept of precision agriculture. The system was developed using several environmental parameters, such as soil moisture, air temperature, humidity, light intensity, and plant age as input data to determine watering decisions. All data processing is carried out directly on the ESP32 microcontroller so that the system can work faster, reduce dependence on cloud computing, and increase network and power usage efficiency. The Decision Tree method is applied through Information Gain calculations to determine the attributes that most influence watering decisions. Based on the analysis results, air humidity obtained the highest Information Gain value of 0.8813 bits at a threshold of 57.5%, making it considered the most effective in the watering classification process. However, soil moisture was chosen as the root node because it has a higher level of agronomic relevance and is easier to implement in the plant monitoring system. Data processing is carried out locally using the ESP32 microcontroller, while the monitoring data is sent via the MQTT protocol to a smartphone application for real-time monitoring. Test results show that the system is capable of carrying out automatic watering accurately, increasing water efficiency, and adapting to changing environmental conditions adaptively. Thus, this system can be an effective, intelligent, and sustainable solution in supporting IoT-based plant cultivation management. The results show that the Decision Tree algorithm can determine the right watering decisions through Information Gain calculations. The system is also connected to the MQTT protocol that allows real-time monitoring of plant conditions via a smartphone application. Based on the test results, the system is capable of carrying out automatic watering effectively, saving water, and adapting to changing environmental conditions. Therefore, this system can be an innovative and sustainable solution to support the development of IoT-based smart agriculture.
Co-Authors Amru Muhammad Emilda, Emilda Filza Humaira Hendrawaty Ilham Jaya Muhammad Nasir Mulyadi Prihatin, Nanang Safaruddin Simbolon, Zulfan Khairil Wahdaniah Wahyudi