cover
Contact Name
Dhimas Tribuana
Contact Email
dhimas@plexi.co.id
Phone
+62823-9355-4775
Journal Mail Official
editor@jtbcjournal.org
Editorial Address
Komp. BTN Tabaria D3/9, Makassar, Sulawesi Selatan 90221, Indonesia
Location
Kota makassar,
Sulawesi selatan
INDONESIA
Jurnal Teknologi dan Bisnis Cerdas
ISSN : -     EISSN : 31098924     DOI : https://doi.org/10.64476/jtbc
Jurnal Teknologi dan Bisnis Cerdas (JTBC) mempublikasikan artikel ilmiah orisinal dari akademisi, peneliti, dan praktisi yang berfokus pada pengembangan dan integrasi antara teknologi dan dunia bisnis secara cerdas dan inovatif. Ruang lingkup jurnal ini meliputi namun tidak terbatas pada topik-topik berikut: Inovasi dalam Teknologi Informasi dan Komputer untuk pengambilan keputusan bisnis Sistem Informasi Manajemen, ERP, dan teknologi digital dalam organisasi Transformasi digital dan bisnis berbasis data di era industri 4.0 Kecerdasan buatan, data mining, dan machine learning untuk aplikasi ekonomi dan bisnis Manajemen bisnis digital, kewirausahaan berbasis teknologi, dan e-commerce Perilaku organisasi dan kepemimpinan dalam perusahaan teknologi Integrasi teknologi dalam manajemen sumber daya manusia, keuangan, pemasaran, dan operasional Studi kasus dan implementasi teknologi dalam pengembangan usaha mikro, kecil, dan menengah (UMKM) JTBC juga terbuka untuk artikel interdisipliner yang menjembatani ilmu komputer, ekonomi, dan manajemen dalam konteks solusi cerdas dan berbasis teknologi.
Articles 44 Documents
Analisis Perilaku Konsumtif Generasi Z dalam Penggunaan Dompet Digital Sebagai Dampak Perkembangan Teknologi Finansial Terhadap Pola Konsumsi Mahasiswa Fakultas Ekonomi dan Bisnis Universitas Jenderal Soedirman Adani Fitri Amalia; Naila Nur Kamila; Oki Anggreani; Dijan Rahajuni
Jurnal Teknologi dan Bisnis Cerdas Vol 2 No 2 (2026): Volume 2 Nomor 2 (Juni 2026)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v2i2.70

Abstract

This study examines Generation Z’s spending trends regarding the use of digital wallets as a result of advancements in financial technology among students at the Faculty of Economics and Business, Jenderal Soedirman University. The objective is to understand how the use of e-wallets influences students’ spending patterns, both in terms of transaction convenience and its impact on their consumption behavior. With rapid technological development, digital wallets have become a solution that helps people conduct transactions in a more efficient, faster, and easier way. The findings of this study indicate that the use of digital wallets simplifies the transaction process and increases the frequency of purchases, which can foster consumptive behavior. Promotional factors such as discounts and cashback, as well as the influence of the social environment, also reinforce the tendency toward excessive consumption. Furthermore, this study reveals that some students are able to manage their expenses due to good financial management, while others still struggle to control their consumerist behavior. Therefore, it is important to enhance awareness and skills in financial management so that the use of digital wallets does not lead to negative consequences. It is hoped that this study can provide a useful perspective for students to use their e-wallets more wisely.
Analisis Waktu Baku Sebagai Dasar Perencanaan Kapasitas Produksi dan Identifikasi Bottleneck pada Proses MP24Z di PT X Sambas Sundana; Alya Kissifi Setyawan
Jurnal Teknologi dan Bisnis Cerdas Vol 2 No 1 (2026): Volume 2 Nomor 1 (Maret 2026)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v2i1.71

Abstract

This study aims to analyze production capacity and identify potential bottlenecks in the MP24Z production process at PT X based on standard time data. The research used a descriptive quantitative approach by utilizing secondary data from previous work measurement using the stopwatch time study method. The data analyzed included cycle time, normal time, and standard time on machine 20, machine 41, and machine 29. Production capacity was calculated by dividing available working time by the standard time of each machine, while bottleneck identification was conducted by comparing standard time and production capacity among machines. The results show that machine 20 has the lowest standard time of 3.58 minutes per unit, resulting in the highest production capacity of 16.76 units per hour or 117.32 units per day. Machine 41 has a standard time of 4.25 minutes per unit with a production capacity of 14.12 units per hour or 98.82 units per day. Meanwhile, machine 29 has the highest standard time of 4.96 minutes per unit, resulting in the lowest production capacity of 12.10 units per hour or 84.68 units per day. Based on these results, machine 29 is identified as the potential bottleneck in the MP24Z production process. The findings indicate that standard time data can be further utilized not only as a work measurement result, but also as a basis for capacity planning, machine performance comparison, and production improvement prioritization.
Green Human Resource Management Dan Sustainable Employee Performance Pada Perguruan Tinggi Di Kota Makassar: Peran Mediasi Employee Green Behavior Dan Moderasi Green Organizational Culture Dhimas Tribuana; Endang Halimah; Andi Masniah; Jahara Jahara; Isiswanty Isiswanty; Koas Dianah
Jurnal Teknologi dan Bisnis Cerdas Vol 2 No 2 (2026): Volume 2 Nomor 2 (Juni 2026)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v2i2.77

Abstract

This study examines how Green Human Resource Management (GHRM) contributes to Sustainable Employee Performance (SEP) in higher education by positioning Employee Green Behavior (EGB) as a mediating mechanism and Green Organizational Culture (GOC) as a moderating condition. A quantitative cross-sectional survey was conducted among 200 lecturers and educational staff working at higher education institutions in Makassar City, Indonesia, from 1 to 14 April 2026. Data were analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS 4 and 5,000 bootstrap subsamples. The measurement model demonstrated satisfactory reliability and validity. The structural results show that GHRM positively affects EGB (beta = 0.487; p < 0.001) and SEP (beta = 0.193; p = 0.001), while EGB positively affects SEP (beta = 0.408; p < 0.001). GOC positively affects EGB (beta = 0.235; p < 0.001) and SEP (beta = 0.274; p < 0.001). EGB significantly mediates the GHRM-SEP relationship (beta = 0.199; p < 0.001), and GOC significantly strengthens the GHRM-EGB relationship (beta = 0.354; p < 0.001). The model explains 41.4% of EGB and 47.2% of SEP variance. The findings extend GHRM research by integrating behavioral mediation and cultural moderation with employee-level sustainable performance, and offer practical directions for embedding sustainability into higher education HR systems and organizational culture.
Green Digital Transformation Capability Dan Sustainable Organizational Performance Pada Perguruan Tinggi Di Kota Makassar: Peran Mediasi Green Digital Innovation Dan Moderasi Data-Driven Culture Dhimas Tribuana; Andi Firdania; Muh. Rusli; Abu Said Uddin; Herlina Amin Noor; Natsir Thamrin
Jurnal Teknologi dan Bisnis Cerdas Vol 2 No 2 (2026): Volume 2 Nomor 2 (Juni 2026)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v2i2.78

Abstract

This study examines the effects of Green Digital Transformation Capability (GDTC) on Sustainable Organizational Performance (SOP) in higher education through Green Digital Innovation (GDI), while assessing Data-Driven Culture (DDC) as a moderating condition. A quantitative cross-sectional survey was conducted among 200 lecturers and educational staff at higher education institutions in Makassar City, Indonesia, from 1 to 14 April 2026. Data were analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS 4 and 5,000 bootstrap subsamples. The measurement model demonstrated satisfactory reliability and validity (outer loadings = 0.738-0.868; composite reliability = 0.923-0.938; AVE = 0.624-0.689; HTMT = 0.182-0.659). GDTC positively affected GDI (beta = 0.443; p < 0.001) and SOP (beta = 0.302; p < 0.001), while GDI positively affected SOP (beta = 0.372; p < 0.001). DDC positively affected GDI (beta = 0.234; p < 0.001) and SOP (beta = 0.274; p < 0.001). GDI partially mediated the GDTC-SOP relationship (beta = 0.165; p < 0.001), and DDC strengthened the GDTC-GDI relationship (beta = 0.388; p < 0.001). The model explained 42.7% of GDI and 50.4% of SOP variance. The findings extend digital sustainability research by demonstrating a capability-innovation-performance mechanism and identifying data-driven culture as a boundary condition in higher education.