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All Journal Barometer Jurnal Teknologi dan Bisnis Cerdas
Sambas Sundana
Program Studi Teknik Industri, Fakultas Teknik, Universitas Pancasila
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science

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PENGEMBANGAN MODEL PERAN TRIPLE-HELIX TERHADAP PENGEMBANGAN ECOCANVAS CLEANTECH STARTUP BERBASIS GREEN INNOVATION & TECHNOLOGY ADOPTION Kirana Rukmayuninda Ririh; Sambas Sundana; Amalia Kusumawati; Desinta Rahayu Ningtyas
BAROMETER Vol 7 No 2 (2022): Barometer
Publisher : Fakultas Teknik, Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35261/barometer.v7i2.6630

Abstract

Startups play an important role in the disruptive transformation of several industrial sectors towards a circular economy of sustainability.  Cleantech Startup (CS) is one of the major business players in green innovation and technology, which is based on generating or utilizing clean energy.  To achieve sustainable green innovation success, collaboration between actors in green innovation systems such as universities, government institutions and industry (including CS) must be optimal.  Coupled with the CS business model, it is necessary to implement a green business model canvas (EcoCanvas).  This literature study will review how the Triple-Helix (TH) collaboration towards innovation and adoption of green technology is carried out by CS. In addition, the EcoCanvas will be formulated from examples of CS cases in Indonesia.  This study uses a desk review of 51 major articles from reputable journals.  It can be seen that the TH collaboration focuses on: government regulations, market focus, supplier participation, coordination between functions, and technology development.  In addition, licensing alliances and technology development will affect the pattern of financial investment and patent activity. The EcoCanvas model on CS also shows that environmental issues such as waste and abundant resources in Indonesia are the main focus in the sustainable business model adopted by CS.  The findings in this study need to be studied more deeply by using empirical evidence from the field and other supporting historical data.
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.
Co-Authors Alya Kissifi Setyawan Amalia Kusumawati Desinta Rahayu Ningtyas Kirana Rukmayuninda Ririh