Article Per Year (5 Year)
p-Index From 2021 - 2026
5.063
P-Index
This Author published in this journals
All Journal Excellent Jurnal Teknologi Informasi dan Ilmu Komputer Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta DIJB (Diponegoro International Journal of Business) METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming EconBank : Journal Economics and Banking International Journal of Economics, Business and Accounting Research (IJEBAR) Didaktik : Jurnal Ilmiah PGSD STKIP Subang Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat AKTUAL Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan Ekomaks : Jurnal Ilmu Ekonomi, Manajemen, dan Akuntansi Jurnal Teknik Informatika (JUTIF) JINAV: Journal of Information and Visualization Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Inkubis: Jurnal Ekonomi dan Bisnis Proceeding of International Conference Health, Science And Technology (ICOHETECH) Mestaka: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Jurnal Manajemen, Ekonomi, Hukum, Kewirausahaan, Kesehatan, Pendidikan dan Informatika (MANEKIN) AMMA : Jurnal Pengabdian Masyarakat Journal Of Artificial Intelligence And Software Engineering Hatta: Jurnal Pendidikan Ekonomi dan Ilmu Ekonomi JIBEMA: Jurnal Ilmu Bisnis, Ekonomi, Manajemen, dan Akuntansi International Journal of Contemporary Sciences (IJCS) Edu Komputika Journal Journal of Social Entrepreneurship and Creative Technology Optimal: Jurnal Ekonomi dan Manajemen
Bangun Prajadi Cipto Utomo
Universitas Duta Bangsa Surakarta
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

Published : 36 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 36 Documents
Search

 1   2   3   4 
Dinamika dan Tingkat Pemulihan Kinerja Hotel Bintang di Pulau Jawa Sebelum, Saat, dan Setelah Pandemi COVID-19 Periode 2018-2025 Ahmad Tomi Sholikhin; Rio Rizq Nur Bhactiar; Camukti Selo Kapiji; Heri Irawan; Bangun Prajadi Cipto Utomo
JIBEMA: Jurnal Ilmu Bisnis, Ekonomi, Manajemen, dan Akuntansi Vol. 4 No. 1 (2026): July
Publisher : CV. Muris Global Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62421/jibema.v4i1.662

Abstract

Penelitian ini bertujuan menganalisis dinamika dan tingkat pemulihan kinerja hotel bintang di enam provinsi Pulau Jawa selama 2018-2025. Pendekatan kuantitatif deskriptif-komparatif diterapkan pada data sekunder Badan Pusat Statistik yang mencakup DKI Jakarta, Jawa Barat, Jawa Tengah, DI Yogyakarta, Jawa Timur, dan Banten. Dataset berbentuk panel sederhana dengan 48 observasi provinsi-tahun. Kinerja operasional diukur melalui jumlah tamu, tingkat penghunian kamar, dan rata-rata lama menginap. Analisis meliputi statistik deskriptif, pertumbuhan tahunan, compound annual growth rate, indeks pemulihan 2025 terhadap 2019, serta uji Friedman sebagai analisis tambahan. Hasil menunjukkan bahwa pada 2020 jumlah tamu menurun 52,93% dan rata-rata tingkat penghunian kamar turun 35,51% dibandingkan 2019, sedangkan rata-rata lama menginap meningkat 5,90%. Pada 2025, seluruh provinsi telah mencatat jumlah tamu lebih tinggi daripada 2019 dengan indeks pemulihan agregat 111,73. Namun, indeks pemulihan tingkat penghunian kamar baru mencapai 92,48 dan rata-rata lama menginap 95,08. Banten menjadi satu-satunya provinsi yang melampaui kondisi 2019 pada ketiga indikator. Temuan ini menegaskan bahwa pemulihan hotel bintang di Pulau Jawa berlangsung tidak merata dan lebih kuat pada dimensi volume tamu dibandingkan pemanfaatan kapasitas kamar serta durasi menginap. Evaluasi pemulihan karena itu perlu menggunakan beberapa indikator secara simultan.
PENGARUH WORK LIFE BALANCE, DAN MOTIVASI KERJA TERHADAP INTENTION TO STAY KARYAWAN KSPPS BINA INSAN MANDIRI KARANGANYAR Della Arventya Vadmara; Bangun Prajadi Cipto Utomo; Nur Hadi
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 12 No. 03 (2026): Volume 12 No. 3, September 2026 Now Available
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v12i03.18207

Abstract

This study aims to analyze the effect of Work Life Balance and Work Motivation on employees’ Intention to Stay at Koperasi Simpan Pinjam dan Pembiayaan Syariah (KSPPS) Bina Insan Mandiri Karanganyar, both partially and to determine which variable has a stronger influence on Intention to Stay. This study employed a quantitative approach using a deductive method. The population consisted of 52 employees, and the entire population was selected as the sample using a saturated sampling technique. Primary data were collected through questionnaires using a five-point Likert scale. Data analysis was conducted using SPSS through validity testing, reliability testing, classical assumption testing, multiple linear regression analysis, t-test, F-test, and coefficient of determination. The results showed that Work Life Balance had a positive but insignificant effect on Intention to Stay, with a regression coefficient of 0.163 and a significance value of 0.076 > 0.05. Meanwhile, Work Motivation had a positive and significant effect on Intention to Stay, with a regression coefficient of 0.393 and a significance value of 0.000 < 0.05. Work Motivation also had a relatively stronger influence than Work Life Balance, as indicated by the Standardized Beta values of 0.690 and 0.223, respectively. Therefore, increasing employees’ work motivation is a more dominant factor in encouraging their intention to remain in the organization.
Pengaruh Motivasi Berwirausaha dan Efikasi Diri Terhadap Minat Mahasiswwa Berwirausaha Saryadi Saryadi; Liss Dyah Dewi Arini; Bangun Prajadi Cipto Utomo
HATTA : Jurnal Pendidikan Ekonomi dan Ilmu Ekonomi Vol 2 No 1 (2024): April
Publisher : STKIP MAJENANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62387/hatta.v2i1.25

Abstract

Background: Motivation is very important for entrepreneurs. Besides motivation, self-efficacy will also affect entrepreneurial interest. Confidence supported by confidence based on self-assessment is very important for prospective entrepreneurs. Purpose. This study aims to determine the influence of entrepreneurial motivation variables and self-efficacy individually/partially or jointly or simultaneously on entrepreneurial interest. Method: This research is a type of quantitative research to provide empirical evidence of the influence of motivation on entrepreneurial interest, self-efficacy on entrepreneurial interest and together the influence of motivation and self-efficacy on entrepreneurial interest. The population was taken by purposive sampling by taking a sample of 103 respondents, consisting of 9 students from the Faculty of Health Sciences of the ARS study program and 50 students from class 21a1 of the RMIK study program. Faculty of Law and Business with a total of 44 students in class 22A1. Data analysis with multiple linear regression and statistical tests and classical assumptions Findings: The conclusions obtained show that there is a partial influence of entrepreneurial motivation has a significant positive effect on entrepreneurial interest, self-efficacy has a significant positive effect on entrepreneurial interest, motivation and self-efficacy simultaneously or together have a significant positive effect on entrepreneurial interest. The determination coefficient of 0.852 means that the variability of the influence of entrepreneurial motivation and self-efficacy on entrepreneurial interest is 85.2% while the remaining 14.8% is influenced by other variables that are not a research model. Conclusions: Self-efficacy has a greater effect than entrepreneurial motivation.
Penerapan Metode Hybrid Filtering Dalam Sistem Rekomendasi Menu Di Coffee Shop Teppi Rasa Bintang Alan Bukhari; Sri Sumarlinda; Bangun Prajadi Cipto Utomo
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2026
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

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

Abstract

Pesatnya pertumbuhan industri coffee shop memicu persaingan bisnis yang ketat dan menimbulkan masalah penumpukan informasi (information overload) bagi pelanggan dalam memilih menu. Penelitian ini bertujuan untuk merancang, mengimplementasikan, dan menguji sistem rekomendasi menu personal berbasis website pada Teppi Rasa Coffee & Eatery melalui integrasi metode hybrid filtering. Metode pengembangan sistem yang digunakan adalah Waterfall, dengan menerapkan algoritma Weighted Hybrid Filtering yang menggabungkan jalur Content-Based Filtering (CBF) melalui Cosine Similarity dan Collaborative Filtering (CF) berbasis tren popularitas global. Komposisi bobot linear ditetapkan secara konsisten sebesar ? = 0.6 untuk komponen CBF dan ? = 0.4 untuk komponen CF, dengan nilai pembatas popularitas maksimal (Nmax) dikonfigurasikan sebesar 50. Hasil simulasi komputasi komparatif pada akun pelanggan Bintang membuktikan bahwa sistem mampu menghasilkan daftar Top-8 Recommendations yang seimbang, di mana menu Americano menempati peringkat teratas dengan Hybrid Score 92.9% (didominasi preferensi kopi internal), sementara menu Taro Latte dari kategori baru tetap berhasil direkomendasikan pada peringkat ke-8 dengan skor 24% murni dari jalur tren pasar eksternal. Evaluasi fungsionalitas menggunakan Black Box Testing menunjukkan tingkat keberhasilan mutlak sebesar 100% tanpa adanya diskrepansi data desimal pada antarmuka. Sistem ini terbukti secara ilmiah dapat menjadi instrumen keputusan yang adaptif bagi pelanggan, ditandai dengan keberhasilan merekomendasikan produk lintas kategori melalui kontribusi skor CF hingga 40% meskipun skor CBF sebesar 0%, sekaligus mengatasi kelemahan overspecialization pada sistem rekomendasi tunggal.
PENERAPAN METODE HYBRID RANDOM FOREST DAN GENETIC ALGORITHM UNTUK OPTIMASI PENJADWALAN PRODUKSI Widya Monika Sari; Nurmalitasari; Bangun Prajadi Cipto Utomo
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5789

Abstract

The garment industry faces complex production scheduling challenges due to high product variability and inaccurate process time estimation. Inefficient production scheduling often leads to production delays and reduced operational performance. Conventional scheduling methods such as First Come First Serve (FCFS) and Earliest Due Date (EDD) have been shown to be less effective in dynamic production environments. This study aims to optimize flow shop production scheduling in a children's garment manufacturing environment using a hybrid Random Forest–Genetic Algorithm approach. Random Forest is employed to predict the processing time of each job based on a simulated dataset regenerated from the company's historical production data collected in 2025 while preserving the statistical characteristics and relationships among variables. Subsequently, the Genetic Algorithm is used to optimize job sequencing by simultaneously minimizing makespan and weighted tardiness. The study follows the CRISP-DM methodology up to the model evaluation stage. The results show that the Random Forest model achieved satisfactory prediction performance for the cutting, sewing, and finishing stages, with R² values of 0.817, 0.981, and 0.867, respectively. Using a population size of 30, 100 generations, and 10 independent runs, the Genetic Algorithm achieved an improvement of 79.94% compared to FCFS and 39.71% compared to EDD. These findings demonstrate that the proposed hybrid Random Forest–Genetic Algorithm approach can generate a more adaptive, efficient, and data-driven production schedule than conventional scheduling methods.
Hubungan Electronic Word of Mouth (E-WOM) terhadap Keputusan Pembelian Generasi Z melalui TikTok Shop di Kota Surakarta Mega Artha Meviana; Bangun Prajadi Cipto Utomo; Indra Hastuti
OPTIMAL Jurnal Ekonomi dan Manajemen Vol. 6 No. 3 (2026): September: OPTIMAL: Jurnal Ekonomi dan Manajemen
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/optimal.v6i3.12740

Abstract

This study aims to analyze the relationship between Electronic Word of Mouth (E-WOM) and the purchasing decisions of Generation Z via TikTok Shop in Surakarta City. A quantitative approach was employed, involving 100 respondents selected through purposive sampling. Data were collected via questionnaires and analyzed using IBM SPSS Statistics version 25. The analysis encompassed tests for validity, reliability, and normality, as well as simple linear regression, t-tests, F-tests, and the calculation of the coefficient of determination. The results indicate that E-WOM has a positive and significant effect on purchasing decisions, evidenced by a calculated t-value of 15.012 and a significance level of 0.000 (<0.05). The validity of the research model is supported by the F-test, which yielded a significance value of 0.000. The coefficient of determination (0.697) indicates that E-WOM explains 69.7% of the variation in purchasing decisions, while the remaining 30.3% is influenced by factors outside the scope of this study. The findings suggest that the more positive information and reviews consumers receive via TikTok Shop, the greater the likelihood of Generation Z making a purchase.
Co-Authors Agung Dirmansyah Agus Santoso, Aris Prio Ahmad Tomi Sholikhin Amad Tri Yanto Anisa Dwi Anggraini An’nissa Ita Yulianti Bintang Alan Bukhari Camukti Selo Kapiji Darwina Arshad Della Arventya Vadmara Denofata Swastikasari Eko Purwanto Farahwahida Mohd Harmastuti, Primadia Putri Heri Irawan Ilham Sentosa Indra Hastuti Isni Yanuarti Puspitasari Jimisiah Jaafar Liss Dyah Dewi Arini Liss Dyah Dewi Arini Lulu Fitriana Laela Maulindar, Joni Mega Artha Meviana Moh Muhtarom Mohammad Farreldi Azhar Permana Mohd, Farahwahida Mohd, Idaya Husna Binti Munaiseche, Christian Imanuel Novemy Triyandari Nugroho Nur Hadi Nurchim Nurmalitasari Nurmalitasari Osman, Sharina Permatasari, Hanifah Rahma Fauzia Madaningrum Refky Setiawan Rifan Amirul Hafizh, Muhammad Rio Rizq Nur Bhactiar Santosa, Tri Djoko Sarah Fadila Sarah Sentosa, Ilham Shella Savita Ramadhani Sri Sumarlinda Suryani, Fajar Tri Djoko Santosa Tri Djoko Santosa Widya Monika Sari Windi Shilvia Puspitasari