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All Journal Jurnal Teknik Jurnal Rekayasa Sistem Industri Jurnal PkM (Pengabdian kepada Masyarakat)
Novia Rahmawati
Universitas Trisakti
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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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 Desain Display Promosi dan Kemasan pada UMKM Pondok Kelapa Indah Permata Sari; Novia Rahmawati; Harumi Yuniarti; Harris Effendi; Vivian Angelika; Putri Diana
Jurnal PkM (Pengabdian kepada Masyarakat) Vol 6, No 3 (2023): Jurnal PkM: Pengabdian kepada Masyarakat
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jurnalpkm.v6i3.9157

Abstract

Pondok kelapa merupakan salah satu kelurahan yang ada di Duren Sawit, Jakarta Timur yang sebagian besar warganya memiliki usaha di berbagai bidang seperti; usaha di bidang otomotif, makanan, dan fashion. Akibat banyaknya jumlah warga yang memiliki UMKM menyebabkan roda perekonomian di wilayah ini cukup berkembang. Akan tetapi semenjak pandemi menyebabkan pendapatan warga yang memiliki usaha mengalami penurunan, sehingga perlu dilakukan pendampingan kepada warga untuk membangkitkan usahanya, salah satunya dengan membuat display promosi dan kemasan yang menarik dan ergonomis, mengingat selama pandemi hampir seluruh usaha dilakukan dengan berbasis online. Kegiatan pengabdian ini dilakukan dengan cara memberikan pelatihan serta pendampingan kepada warga Pondok Kelapa yang memiliki UMKM untuk mendesain display promosi dan kemasan yang menarik dan ergonomis. Sehingga diharapkan kegiatan promosi dan penjualan mengalami pendekatan dengan penggunaan display dan bergakibat pada penghasilan warga Pondok Kelapa. Pelatihan diberikan secara luring di Kelurahan Pondok Kelapa Jakarta Timur. Keberhasilan kegiatan ini dilihat dari peningkatan pengetahuan warga mengenai desain display promosi dan kemasan yang ergonomis. Hal ini diketahui dari respon peserta pada kuesioner yang diberikan yang menunjukkan hasil bahwa 100% peserta setuju bahwa materi yang diberikan bermanfaat dan berdampak pada peningkatan pengetahuan peserta
Agricultural Risk Factor Petani Lansia pada Aktivitas Pertanian Padi Novia Rahmawati; Ahmad Farhan; Pudji Astuti; Bambang Cholis S; Nora Azmi
Jurnal Teknik Vol 21 No 2 (2023): Jurnal Teknik
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37031/jt.v21i2.344

Abstract

According to data from the Central Bureau of Statistics, the agricultural sector is the business field that absorbs the most elderly workers. However, elderly farmers actually become vulnerable to musculoskeletal disorders when doing agricultural work. This is because agriculture requires a lot of lifting activities, carrying heavy loads, working in bent and squatting positions, there is a risk of slipping and there is a risk of falling from the slippery paddy fields. This study aims to identify agricultural risks for elderly farmers. Data collection was carried out using Focus Group Discussions, to identify complaints with the Nordic Body Map (NBM) and risk assessment with the Agricultural Whole-Body Assessment (AWBA). Complaint data obtained, namely respondents stated that they had Gotrak complaints (muscle and skeletal disorders) on the waist and legs. Results questionnaire NBM, namely the level of complaints of pain in the highest part of the body that is felt, namely the waist. While the results of the AWBA risk assessment show that most of the work postures of elderly farmers are at high risk (high) with a percentage of 53% and a risk level of work duration of 73% of agricultural activities has a risk of 4 (very high).
Co-Authors Ahmad Farhan Bambang Cholis S Habyba, Anik Nur Harris Effendi Harumi Yuniarti Indah Permata Sari Nora Azmi Pudji Astuti Putri Diana Triwulandari SD Vivian Angelika