The purpose of this research is (1) To find out that there is a significant increase in student learning outcomes by using interactive video learning media better than using previous learning media. (2) To find out whether interactive videos are used as learning media in the learning process of Fashion Technology courses. This study uses an experimental method with Pretest Posttest Control Group Design patterns. The population in this study amounted to 87 students from two Fashion Technology classes at Semarang State University. The research sample was obtained by random method, then the sample used was 29 students in class 1 as the experimental class and 29 students in the second class as the control class. Data collection uses the check list method, data analysis using descriptive statistics and t test. Based on the results of the analysis of the data obtained, that the average learning outcomes of fashion technology subjects in the experimental group which were originally 67.94 increased to 82.46 or an increase of 89.65%. Whereas in the average control group the results of the study which initially 66.93 increased to 74.01, resulting in an increase of 58.62%. There is an increase in learning outcomes by using interactive videos. Interactive video learning media are effectively used in the learning process of Fashion Technology courses. To the instructors it is recommended to apply learning with interactive video media because it is proven through the use of interactive video media that can improve the learning outcomes of the practice of Fashion Technology. One of the media that can be used is interactive learning video media. This media is an audio-visual

Noise can occur in the work environment and as a factor of dissatisfaction in residential areas, therefore controlling noise is needed. The noise level generated by the muffler production process in a small muffler industry can exceeds the threshold standard at 85 dB of 8 hours work. This study identifies the value of noise at the points of the production process at the muffler industry process and location mapping. Noise assessment is carried out at 5 points different metal working task location. The loudest noise is at the measurement was the grinding points with a noise exposure of 102.04 dB, and the average noise in parallel process was 95.38 dB. The measurement shows the location near to the source of loud noise will increase the amount of noise level, which was the grinding machines increases the noise level for other processes. Overall the noise exposure of all sampling points in parallel process was above standard noise level Kepmenaker no. 5 of 2018, however in individual process only beatings plates and grinding task were exceeds.

In this paper, African Buffalo Optimization is proposed to solve the flow-shop Scheduling Problem (FSP). The FSP involves n-job that was processed in m-machine. The aim is to reduce the makespan of the whole process. In this study, we also compare the African Buffalo Optimization with an exact solution and other meta-heuristic methods, such as Particle Swarm Optimization (PSO), Hybrid Genetics Algorithm, and also Crow-search Algorithm (CSA) to know the performance of the methods in solution quality and computational time. Friedman test showing African Buffalo Optimization gives an optimal solution in solution quality, the same result with the exact solution, PSO, and hybrid GA.

<p align="justify">Pada penelitian ini satu sentra akan ditentukan dari beberapa desa yang ada di sekitar Sungai Klawing. Metode yang digunakan pada penelitian ini adalah dengan expert judgment, yaitu meminta beberapa ahli terkait untuk menilai tingkat kepentingan kriteria penentu lokasi sentra. Pengolahan dengan metode AHP menghasilkan rating sebagai berikut : kriteria pertama terkait dengan daya tarik wisatawan untuk berkunjung (33,49%), kriteria kedua terkait dengan dukungan pemerintah dan masyarakat sekitar lokasi sentra (52,11%), dan kriteria ketiga terkait dengan perkembangan sentra (14,40%). Sub kriteria untuk kriteria pertama antara lain paket wisata (22,21%), dekat dengan sungai klawing (11,28%). Sub kriteria untuk kriteria kedua antara lain Keunikan (8,36%), dukungan pemerintah (10,67%), dukungan masyarakat (12,72%), kuliner (4,81%), kesiapan masyarakat (7,67%) dan history (7,89). Sub kriteria untuk kriteria ketiga antara lain jarak sentra industri dengan lokasi pasar (7,88%) dan jumlah mesin produksi (6,52%). Dari hasil penilaian urutan prioritas lokasi terpilih untuk menjadi lokasi sentra adalah Bancar, Limba Sari, Panusupan, Sega Mas dan Kampus Blater</p>

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