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All Journal Jurnal Rekayasa Sistem Industri Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) JURNAL ABDI MASYARAKAT INDONESIA (JAMIN)
Triwulandari SD
Universitas Trisakti
Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Environmental Science Industrial & Manufacturing Engineering Other

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Analisis Sentimen Mahasiswa untuk Perbaikan Desain Afektif Ruang Kelas Jurusan Teknik Industri, Universitas Trisakti Anik Nur Habyba; Novia Rahmawati; Triwulandari SD
Jurnal Rekayasa Sistem Industri Vol. 10 No. 1 (2021): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (677.97 KB) | DOI: 10.26593/jrsi.v10i1.4319.27-34

Abstract

Improving the affective classroom design is essential to maximize student performance and learning achievement. The comfort and performance achievement of Trisakti University Industrial Engineering students are influenced by the affective design of classrooms. This study aimed to use sentiment analysis in the classification of students’ perceptions of the affective classroom design. Student sentiment classification is done using a Support Vector Machine (SVM). The questionnaire analysis results also showed perceptions about the subjects that were considered the most difficult (statistics). The classrooms had a positive sentiment: FGTSC, a sample for the next stage of classroom design formulation. The results show what impressions and things the students consider in choosing the FGTSC class. Some examples of the dominant kansei word are “comfortable,” this shows that students really care about the comfort of a classroom in the learning process. The word kansei for the design concept was collected from students' perceptions of the “positive” label. Design elements that need to be improved include equipment that is less comfortable to use, less lighting, walls with graffiti and uncomfortable seating. The classification results using three SVM types Kernel linear, radial and polynomial obtained linear have the best accuracy value (76%). These results indicate that the classification of student sentiment has the maximum results with SVM linear kernel (dot) type. This method will be used in classifying student sentiment on the results of improving classroom design.  
PELATIHAN PENGAMBILAN KEPUTUSAN PADA INDUSTRI KOMPONEN OTOMOTIF DI JAKARTA UTARA Winnie Septiani; Pudji Astuti; Nora Azmi; Triwulandari SD; Dorina Hetharia; Iveline Anne Marie; Emelia Sari
Jurnal Abdi Masyarakat Indonesia (JAMIN) Vol 2 No 2 (2020): JURNAL ABDI MASYARAKAT INDONESIA (JAMIN)
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (737.49 KB) | DOI: 10.25105/jamin.v2i2.7497

Abstract

PT Asano Gear Indonesia (AGI) merupakan salah satu industri komponen otomotif di Indonesia yang berlokasi di Jakarta Utara. Dalam menjalankan usahanya tentunya perusahaan menghadapi beberapa persoalan keputusan, baik di level strategis, taktis maupun operasional.  Berdasarkan hasil diskusi dan survei awal, permasalahan keputusan  yang sedang dipertimbangkan oleh perusahaan diantaranya adalah  keputusan untuk  memindahkan lokasi pabrik dan keputusan untuk pembelian mesin produksi.  Pengambilan keputusan merupakan hal yang penting bagi kelangsungan sebuah perusahaan. Metode-metode pengambilan keputusan merupakan suatu pendekatan untuk dapat membuat keputusan lebih sistematis, dapat diukur dan dapat dipertanggungjawabkan. Pelatihan ini bertujuan untuk memberikan pemahaman mengenai konsep dasar pengambilan keputusan, faktor-faktor yang harus diperhatikan dan penggunaan beberapa metode dalam Pengambilan keputusan. Materi yang disampaikan mengenai pengambilan keputusan, terbagi menjadi dua bagian utama yaitu, konsep dasar pengambilan keputusan dan teknik-teknik yang dapat digunakan dalam pengambilan keputusan. Berdasarkan evaluasi kegiatan pelatihan, lebih dari 75% peserta menyatakan isi pelatihan ini menarik dan bermanfaat. Selain itu, peserta pelatihan juga menyatakan keinginannya untuk diberikan pelatihan lanjutan. Pelatihan ini diharapkan dapat memberikan manfaat bagi perusahaan maupun jurusan Teknik Industri terutama dalam pengembangan keilmuan analisis keputusan dan implementasinya di industri.
Faktor-Faktor Operasional Sebagai Anteseden dari Kinerja Keberlanjutan pada Perusahaan Manufaktur Dimas Aulia Kalimantoro; Wahyuningsih Santosa; Triwulandari SD
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol 10, No 1 (2023): Maret
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v10i1.1075

Abstract

This study aims to analyze the effect of Total Quality Management, Total Productive Maintenance, Innovation Capability, Circular Economy, and Industry 4.0 on sustainability performance. Sustainability performance in this study is focused on implementing corporate sustainability in the economic, social, and environmental sectors. The data used in this research is primary data, which is data obtained directly from the field, which is the object of research. The research sample was selected using a purposive sampling method in order to obtain 10 companies engaged in the manufacturing industry located in DKI Jakarta with a total of 203 respondents. This study uses cross-sectional time, where data is collected only once for one month. The data analysis used in this study uses Structural Equation Modeling data processing, which is used to examine and justify a hypothesis that has been tested in previous studies. The results of the study show that total quality management, innovation capability, and industry 4.0 have a positive and significant effect on sustainability performance. Meanwhile, for the circular economy, it has a negative and significant effect on sustainability performance, while for total productive maintenance, it has no effect on sustainability performance in manufacturing industry companies in DKI Jakarta.
Co-Authors Dimas Aulia Kalimantoro Dorina Hetharia Emelia Sari Habyba, Anik Nur Iveline Anne Marie Nora Azmi Novia Rahmawati Pudji Astuti Wahyuningsih Santosa Winnie Septiani