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All Journal Jurnal TIMES COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Ekobisman : Jurnal Ekonomi Bisnis Manajemen
Moch Yasin, Moch
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Mechanical Engineering Social Sciences Transportation

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PENGARUH PELAYANAN, CITRA MEREK DAN HARGA TERHADAP PEMBELIAN ULANG MELALUI KEPUASAN PELANGGAN DAN WORD OF MOUTH Rambe, Neni; Maksum, Choirul; Yasin, Moch
EKOBISMAN : JURNAL EKONOMI BISNIS MANAJEMEN Vol 1 No 3 (2017): APRIL
Publisher : SEKOLAH PASCASARJANA PRESS

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Abstract

The aim of this research explain the relationship and the influence of several variables that have been defined. Data analysis techniques using Structural Equation Model (SEM). Distributing questionnaires conducted with purposive sampling method. A population of 725 respondents with a defined sample 120 respondents. The result of the analysis of this data showed that, service quality variables positive and significantly influence repurchase, the customer satisfaction and word of mouth, variable brand image positive and significantly influence repurchase, the customer satisfaction and word of mouth, variable price positive and significantly influence repurchase, the customer satisfaction and word of mouth, variable customer satisfaction positive and significantly influence repurchase and word of mouth, variable word of mouth positive and significantly influence repurchase.
PENGARUH PELAYANAN, CITRA MEREK DAN HARGA TERHADAP PEMBELIAN ULANG MELALUI KEPUASAN PELANGGAN DAN WORD OF MOUTH Rambe, Neni; Maksum, Choirul; Yasin, Moch
EKOBISMAN : JURNAL EKONOMI BISNIS MANAJEMEN Vol. 1 No. 3 (2017): APRIL
Publisher : SEKOLAH PASCASARJANA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The aim of this research explain the relationship and the influence of several variables that have been defined. Data analysis techniques using Structural Equation Model (SEM). Distributing questionnaires conducted with purposive sampling method. A population of 725 respondents with a defined sample 120 respondents. The result of the analysis of this data showed that, service quality variables positive and significantly influence repurchase, the customer satisfaction and word of mouth, variable brand image positive and significantly influence repurchase, the customer satisfaction and word of mouth, variable price positive and significantly influence repurchase, the customer satisfaction and word of mouth, variable customer satisfaction positive and significantly influence repurchase and word of mouth, variable word of mouth positive and significantly influence repurchase.
SIMULATION OF IOT MONITORING OF SOIL MOISTURE AND TEMPERATURE USING ARDUINO UNO ON TINKERCAD USING RULE-BASED ALGORITHMS Imtiyaz, Muhammad Nidzom; Nabilla, Ferdian Wahyu; Yasin, Moch
Jurnal TIMES Vol 14 No 2 (2025): Jurnal TIMES
Publisher : STMIK TIME

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Abstract

Farmers and plant enthusiasts often face difficulties in maintaining the desired soil moisture level, as manual watering methods are usually ineffective and unstable. Too much or too little water can have a significant impact on plant growth. To resolve this issue, a study was conducted with the aim of designing and testing an automated system capable of monitoring soil moisture and temperature levels. This study adopted a Research and Development (R&D) approach, which was demonstrated in the form of a simulation in Tinkercad. The system was built using an Arduino Uno microcontroller, along with soil moisture and temperature sensors, as well as control logic based on rule-based (if-then) algorithms. Testing showed that this virtual prototype functioned as intended. This system can automatically activate the water pump when the sensor detects dry soil conditions (sensor value < 450) and stop it when the soil is moist or wet. Also, this setup effectively turns on the LED when it gets hotter than what we told it to watch out for (more than 32°C). The data we got tells us that this monitoring setup does its job well and is really good at doing things automatically based on the rules we set, which means it's a great way to solve the problems we have with watering plants by hand.
Optimasi Task Scheduling dengan Enhanced Whale Optimization pada Cloud dan MEC Oktavio, Ahmad Caesar; Hendriyanto, Rico Rahmat; yahya, Muhaimin; Yasin, Moch
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 6, No 2 (2025): Pemanfaatan Artificial Intelligence dalam Transformasi Digital
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/coreai.v6i2.13022

Abstract

Studi ini berdasarkan metode Enhanced Whale Optimization Algorithm (EWOA). Serangkaian simulasi dengan berbagai skenario pengujian dilakukan untuk mengetahui seberapa efektif algoritma tersebut. Selama tahap implementasi, peneliti membuat prototipe media uji berbasis web. Dengan menggunakan prototipe ini, peneliti dapat melihat bagaimana algoritma membagi beban kerja di antara berbagai server. Selama pengujian, parameter seperti throughput, packet loss, dan latency dinilai. Hasilnya menunjukkan bahwa versi EWOA sederhana dapat menyalurkan beban secara merata, yang menghasilkan throughput 100% dan packet loss nol. Metode ini menunjukkan kinerja yang lebih efisien dan stabil dibandingkan dengan metode lain seperti alokasi acak, Round Robin, dan alokasi statis. Hasil menunjukkan bahwa penerapan logika EWOA adalah salah satu alternatif yang dapat digunakan untuk meningkatkan pemanfaatan sumber daya sambil meningkatkan kinerja sistem dalam lingkungan Cloud dan MEC.
Co-Authors Hendriyanto, Rico Rahmat Imtiyaz, Muhammad Nidzom Maksum, Choirul Nabilla, Ferdian Wahyu Oktavio, Ahmad Caesar Rambe, Neni Yahya, Muhaimin