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All Journal JEB17 : Jurnal Ekonomi dan Bisnis Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Prosiding University Research Colloquium
Mustofa, Agus
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences

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PENGARUH BRAND IMAGE, BIAYA PENDIDIKAN, SOCIAL MEDIA MARKETING, TERHADAP KEPUTUSAN KULIAH DENGAN BRAND TRUST SEBAGAI VARIABEL INTERVENING Mustofa, Agus; widodo, Agus purbo; Sudarsono, Heri
JEB17 : Jurnal Ekonomi dan Bisnis Vol. 10 No. 02 (2025): September
Publisher : Fakultas Ekonomi Universitas 17 Agustus 1945 Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/jeb17.v10i02.132542

Abstract

The increasing competition among private universities in Indonesia requires higher education institutions to understand the factors that influence students' decisions in choosing where to study. This study aims to analyze the effects of Brand image, Tuition Fees, and Social media marketing on College Decision, with Brand trust as an intervening variable. The research was conducted among students at Universitas Teknologi Surabaya using a quantitative approach with Structural Equation Modeling (SEM) through AMOS software. The results indicate that Brand image and Social media marketing have a significant direct effect on College Decision, while Tuition Fees do not have a direct effect but exert an indirect influence through Brand trust. Brand trust has a strong direct effect on College Decision and serves as a significant mediator between Tuition Fees and Social media marketing on College Decision. However, Brand trust does not significantly mediate the relationship between Brand image and College Decision. These findings suggest that students’ perceptions of institutional image can directly influence their decisions without necessarily building brand trust first. The results of this study are expected to serve as a foundation for more effective and targeted higher education marketing strategies.
Endorser Laki-Laki Produk Kosmetik Perempuan Dan Persepsi Maskulinitas Terhadap Minat Beli Dari Mahasiswi Di Pekalongan Setiowati, Riesca; Fatmala, Risqi; Chasanah, Uswatul; Mujiburrokhman, M; Mustofa, Agus; Susanti, Leni
Prosiding University Research Colloquium Proceeding of The 16th University Research Colloquium 2022: Mahasiswa (Student Paper Presentation)
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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Abstract

Dunia kosmetik belakangan ini tidak hanya diwarnai oleh wanita saja tetapi juga pria. Beberapa produk kosmetik bahkan melakukan endorsement pria sebagai bagian dari promosi. Penelitian ini merupakan penelitian kuantitatif yang bertujuan menganalisis hubungan antara endorser laki-laki,persepsi maskulinitas sebagai variabel independen terhadap minat beli mahasiwi di Pekalongan dengan attitude formation sebagai variabel moderasi. Responden sebanyak 115 orang dengan teknik pursposive sampling. Alat analisis yang digunakan adalah Structural Equation Modeling (SEM) dengan bantuan software AMOS. Hasil dari penelitian ini bahwa endorser laki-laki produk kosmetik perempuan berpengaruh tehadap minat beli mahasiswi dengan C.R sebesar 2,713, sedangkan persepsi maskulinitas tidak berpengaruh secara signifikan terhadap minat beli dari mahasiswi di Pekalongan. Attitude formation berpengaruh signifikan terhadap minat beli dengan C.R sebesar 3,866.
Pemodelan Prediktif Plugging Pulverizer PLTU Indramayu Berbasis Random Forest Classifier Mustofa, Agus; Purwatiningtyas, P
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 11, No 1 (2026): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v11i1.936

Abstract

Indramayu Steam Power Plant (PLTU Indramayu) is one of the strategic power generation facilities that plays a vital role in supplying national electrical energy. One of the operational issues frequently encountered in the power generation system is Plugging in the Pulverizer, which refers to the blockage of coal flow inside the mill. This condition can lead to reduced combustion performance, increased equipment load, and even unit trip events. Therefore, an early detection and prediction system for Plugging conditions based on operational data is required.This study aims to develop a Plugging forecasting system for the Pulverizer at PLTU Indramayu using the Random Forest Classifier method. The data used in this research were obtained from historical Pulverizer operational records, including mill motor current, coal flow rate, primary air flow rate, and mill outlet temperature. The research stages consist of initial data preprocessing, feature selection, labeling of operating conditions (normal and Plugging), and model testing using the Random Forest Classifier algorithm. Model performance was evaluated using accuracy, precision, recall, F1-score, and cross-validation metrics. The results show that the Random Forest Classifier model is capable of classifying Plugging conditions with high and stable accuracy, indicating its effectiveness as a decision-support tool for predictive maintenance systems. With the implementation of this system, operators are expected to take preventive actions at an earlier stage, thereby minimizing operational disturbances and enhancing the reliability of the power generation system.
Co-Authors Agus Purbo Widodo Fatmala, Risqi Heri Sudarsono Leni Susanti Mujiburrokhman, M Purwatiningtyas, P Setiowati, Riesca Uswatul Chasanah, Uswatul