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All Journal Teknobuga : Jurnal Teknologi Busana dan Boga JTIM : Jurnal Teknologi Informasi dan Multimedia Panthera : Jurnal Ilmiah Pendidikan Sains dan Terapan Bookchapter Pendidikan Universitas Negeri Semarang Jurnal Profesi Keguruan
Achmadi, Taofan Ali
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Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Education Engineering Environmental Science Immunology & microbiology Mathematics Physics Social Sciences

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Analisis Persepsi Mahasiswa terhadap Keterampilan Teknis Era Revolusi Industri 4.0 Anggoro, Ayub Budhi; Achmadi, Taofan Ali; Rohmantoro, Didik; Sari, Aritya Gusmala
TEKNOBUGA: Jurnal Teknologi Busana dan Boga Vol 8, No 2 (2020)
Publisher : Department of Home Economics, Faculty of Engineering, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/teknobuga.v8i2.28948

Abstract

Era Revolusi Industri 4.0 (ERI 4.0) telah berdampak pada pergeseran keterampilan teknis yang diperlukan oleh para pekerja. Mahasiswa Lembaga Pendidikan Tenaga Kependidikan (LPTK) sebagai calon pendidik dan tenaga kependidikan perlu dipersiapkan untuk memiliki keterampilan teknis yang relevan dengan era tersebut. Penelitian ini bertujuan untuk mengetahui persepsi mahasiswa mengenai keterampilan teknis yang paling dibutuhkan dalam ERI 4.0. Hasil penelitian menunjukkan bahwa 5 (lima) besar keterampilan teknis yang paling dibutuhkan oleh mahasiswa secara berturut-turut adalah keterampilan penerapan dan penggunaan teknologi; keterampilan memahami proses digitalisasi; keterampilan merancang; keterampilan menggunakan Teknologi Informasi dan Komunikasi (TIK); serta keterampilan analisis dan pemrosesan data. Keterampilan-keterampilan teknis tersebut menunjukkan 5 (lima) besar yang paling dibutuhkan berdasarkan persepsi mahasiswa jurusan PKK, FT Unnes dengan persentase ³ 43 %. Skor mean hasil perhitungan menunjukkan ³ 5,16 yang berarti bahwa semua keterampilan teknis tersebut signifikan.
Pengaruh Penerapan Video Tutorial CAD Pembuatan Pola Blus terhadap Peningkatan Kompetensi Mahasiswa Irmayanti, Irmayanti Irma; Hamidah, Hamidah; Achmadi, Taofan Ali
TEKNOBUGA: Jurnal Teknologi Busana dan Boga Vol 8, No 2 (2020)
Publisher : Department of Home Economics, Faculty of Engineering, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/teknobuga.v8i2.30111

Abstract

CAD technology for the fashion industry is used, from determining the type and pattern of materials, sizes, and making patterns to the percentage of products, so that computers are one of the important components in the fashion industry. Therefore, to support the growth of the fashion industry in the country, reliable and skilled human resources (HR) are needed to keep up with the dynamic development of the fashion industry, including in the use of information technology and digital devices. Based on this, it is necessary to strive to increase the competence of students in mastery of making clothing patterns digitally. This study aims to determine the contribution of using video tutorials for making fashion patterns to increasing student competence in the CAD Course of Clothing Design in D3 PKK FT UNM Study Program. The research subjects included students who were in the fourth semester of D3 Fashion Design study program. The results showed that: (1) the average competency score of the experimental class students who used video tutorials was higher than the average competency scores of control class students who used conventional media in making blouse patterns using CAD RP-DGS, (2) The use of videos tutorial for making fashion patterns has a positive and significant effect on improving student competence as shown by the results of hypothesis testing using the t-test. This proves that the use of video tutorials as a learning medium in blouse pattern making using CAD RP-DGS is very useful in helping lecturers and students as an effort to achieve learning competencies in the CAD course for D3 Department of PKK FT UNM Department.
Analisis 10 Tingkat Soft Skills Yang Dibutuhkan Mahasiswa di Abad 21 Achmadi, Taofan Ali; Anggoro, Ayub Budhi; Irmayanti, Irmayanti; Rahmatin, Lia Sari; Anggriyani, Devi
TEKNOBUGA: Jurnal Teknologi Busana dan Boga Vol 8, No 2 (2020)
Publisher : Department of Home Economics, Faculty of Engineering, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/teknobuga.v8i2.29049

Abstract

Penelitian ini bertujuan untuk mengidentifikasi persepsi mahasiswa mengenai 10 soft skills teratas yang dibutuhkan di Abad 21. Penelitian ini merupakan penelitian survei menggunakan cross-sectional design. Sampel dalam penelitian ini adalah mahasiswa Jurusan Pendidikan Kesejahteraan Keluarga yang berjumlah 142 mahasiswa. Teknik pengambilan sampel menggunakan teknik purposive. Instrumen pengumpulan data menggunakan lembar kuesioner. Teknik analisis data yang digunakan adalah statistik deskriptif. Hasil dalam penelitian ini mengidentifikasi 10 soft skills teratas yaitu: 1) Tanggung jawab social dan akuntabilitas; 2) Komunikasi; Etika professional; 3) Adaptasi; 4) Kolaborasi; 5) Kreatifitas dan inovasi; 6) Pemecahan masalah; 7) Kesadaran diri; 8) Berpikir kritis dan logis; dan 10) Toleransi keberagaman.
Optimalisasi Model Ensemble Learning dengan Augmentasi dan SMOTE pada Sistem Pendeteksi Kualitas Buah Hidayat, Syahroni; Achmadi, Taofan Ali; Ardhiansyah, Hanif; Hidayat, Hanif; Febriyanto, Rian; Abdulloh, Abdulloh; Ermawati, Intan
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 6 No 1 (2024): May
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i1.406

Abstract

Fruit quality is an important factor in selecting fruit for consumption because it affects consumer health and satisfaction. Identification of fruit quality has become the focus of research, and one of the approaches used is a non-destructive approach through measuring the gases produced by the fruit. Machine learning can be used to process this gas data and build system models that can classify fruit quality. This research discusses the application of the DCS-OLA and Stacking dynamic ensemble learning algorithms to build a fruit quality detection system model. The basic methods used to build models are Logistic Regression, Decision Tree, Gaussian Naïve Bayes, and Mul-ti-Layer Perceptron. The fruit used is mango with a shelf life of 7 days and Srikaya (sugar apple) with a shelf life of 4 days. The condition of the initial dataset is unbalanced. The research results show that trimming the mango dataset to only 4 days according to the shelf life of sugar apple helps reduce the difference in shelf life between the two. Then jittering and balancing techniques are used to increase and balance the number of datasets between the two types of fruit. High accuracy is achieved by the DCS-OLA ensemble and stacking ensemble by combining the basic methods of Logistic Regression and Decision Tree, especially in balanced dataset conditions. In conclusion, the use of ensemble learning in detecting fruit quality has great potential for real-world applications. However, further validation is needed with larger datasets and a wider variety of conditions.
The Effect of Hard Skills, Soft Skills, and Fieldwork Practice Experience on Job Readiness of Vocational Students Syafira, Mauliana; Achmadi, Taofan Ali; Ihsani, Ade Novi Nurul; Nurhayati, Ifa
Jurnal Profesi Keguruan Vol. 11 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpk.v11i1.25472

Abstract

The era of the Industrial Revolution 4.0 requires vocational students to have work readiness to master hard skills, soft skills, and relevant fieldwork experience. This study aims to analyze the effect of hard skills, soft skills, and fieldwork practice (PKL) on the work readiness of vocational students in facing the challenges of Industry 4.0. The research method used is quantitative with a descriptive approach and multiple linear regression, involving vocational students as research subjects. The sampling technique used in this study is random sampling. The data collection method used was a survey using a questionnaire. The results showed that hard skills have a significant effect on work readiness, and soft skills have a significant effect on work readiness. In addition, the PKL experience positively contributes to increasing students' work readiness by providing direct experience in the industrial world.
PENERAPAN PEMBELAJARAN CASE METHOD DAN TEAM BASED PROJECT MELALUI STRATEGI KELAS KOLABORATIF DENGAN MITRA DI LUAR KAMPUS (Upaya Akselerasi Pencapaian Indikator Kinerja Utama Perguruan Tinggi (IKU) Ke tujuh) Harlanu, Muhammad; Suryanto, Agus; Achmadi, Taofan Ali; Syah, Mario Norman
Bookchapter Pendidikan Universitas Negeri Semarang Vol. 9 (2025)
Publisher : Bookchapter Pendidikan Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1529/kp.v9i1.315

Abstract

Metode pembelajaran yang harus diterapkan saat ini mengacu pada Indikator Kinerja Utama (IKU) ke 7, persentase mata kuliah S1 dan diploma yang menggunakan metode pembelajaran pemecahan kasus (case method) atau pembelajaran kelompok berbasis project (teambased project) sebagai sebagian bobot evaluasi. Penelitian ini bertujuan untuk menganalisis: 1) Membuat Model Determinan Model Determinan Penerapan Pembelajaran Case Method Dan Team Based Projcet Melalui Strategi Kelas Kolaboratif Dengan Mitra Di Luar Kampus, 2) Menganalisis Faktor-faktor yang berpengaruh terhadap Model Determinan Penerapan Pembelajaran Case Method Dan Team Based Projcet Melalui Strategi Kelas Kolaboratif Dengan Mitra Di Luar Kampus. Penelitian ini menggunakan metode kuantitatif dengan desain survei. Penggunaan metode dan desain penelitian tersebut diimpementasikan dalam prosedur (langkah-langkah) penelitian. Dalam pengumpulan data menggunakan instrumen penelitian berbentuk kuesioner yang sudah dinyatakan valid dan reliabel. Selanjutnya data yang berhasil dikumpulkan diolah/dianalisis menggunakan statistik deskripsi dan inferensial dengan teknik analisis jalur (path analysis). Selanjutnya dilakukan pembahasan terhadap hasil analisis dibahas dan terakhir yaitu dibuat kesimpulan. Kesimpulan hasil penelitian : 1) Penggunaan Model Case Method di perguruan tinggi secara signifikan berhubungan dengan peningkatan kinerja utama perguruan tinggi, 2) Pelaksanaan Kelas Kolaborasi dengan Mitra memiliki korelasi positif dengan peningkatan kinerja utama perguruan tinggi, 3) Ada pengaruh yang signifikan antara variabel penggunaan Model Team-Based Project terhadap Indikator Kinerja Utama (IKU) perguruan tinggi, 4) Penggunaan Model Case Method secara signifikan berhubungan dengan pelaksanaan Kelas Kolaborasi dengan Mitra, 5) Penggunaan Model Team-Based Project juga berhubungan positif dengan pelaksanaan Kelas Kolaborasi dengan Mitra.
Kelayakan Fisik Sediaan Toner dari Ekstrak Daun Sirih Cina (Peperomia pellucida) dengan Variasi Surfaktan Pratiwi, Ulfa Mawaddah; Achmadi, Taofan Ali; Setyowati, Erna
Panthera : Jurnal Ilmiah Pendidikan Sains dan Terapan Vol. 5 No. 3 (2025): July
Publisher : Lembaga Pendidikan, Penelitian, dan Pengabdian Kamandanu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/panthera.v5i3.500

Abstract

This study aims to determine the physical feasibility of toner preparations from Chinese betel leaf extract (Peperomia pellucida) with variations of polysorbate 20 surfactants through organoleptic tests. Toner is a form of liquid cosmetic preparation used to cleanse, refresh, and balance the pH of the skin. Chinese betel leaf extract contains active compounds such as flavonoids, tannins, and saponins that function as antibacterials and anti-inflammatory agents. Polysorbate 20 is used as a nonionic surfactant that plays a role in maintaining the clarity and stability of the solution. This study used an experimental method with a quantitative approach. Three toner formulations were prepared, namely F1 (without extract and containing 5 mL of polysorbate 20), F2 (5 grams of extract and 5.5 mL of polysorbate 20), and F3 (7.5 grams of extract and 6 mL of polysorbate 20). Organoleptic tests were carried out by expert panelists (two beauty lecturers and one doctor) based on color, aroma, and texture parameters. The test results showed that F1 had a clear color and was odorless, while F2 and F3 had a brownish green color and a distinctive aroma of Chinese betel leaves. All three formulations had a liquid texture. The highest organoleptic test score was obtained by F3 (83.33) which indicated that the formulation with the highest concentration of extract and surfactant provided the best visual and sensory impression. The conclusion of this study indicated that F3 was the most physically feasible formulation based on organoleptic evaluation. This study contributes to the development of local herbal cosmetics that are stable and sensorially preferred.
Co-Authors Abdulloh Abdulloh Ade Novi Nurul Ihsani Agus Suryanto Anak Agung Istri Sri Wiadnyani Anggriyani, Devi Ayub Budhi Anggoro, Ayub Budhi Didik Rohmantoro Ermawati, Intan Erna Setyowati Febriyanto, Rian Hanif Ardhiansyah Hidayat, Hanif Ifa Nurhayati Irmayanti, Irmayanti M. Harlanu, M. Mario Norman Syah, Mario Norman Pratiwi, Ulfa Mawaddah Rahmatin, Lia Sari Sari, Aritya Gusmala Syafira, Mauliana Syahroni Hidayat