Since 2001, synthetic polymers  have been one of the most important materials since 2001 because they are used by humans and become a necessity in various sectors such as thermoplastics in countless quantities. Plastics have properties that are difficult to decompose and can change size into plastic macromolecules with the help of photodegradation, oxidation, hydrolytic degradation, and mechanical breakdown . Plastic pollution is a serious problem because the demand for plastic by society is increasing every year and the result of a lot of plastic waste can cause serious health problems and problems in the surrounding environment. Therefore, the use of plastic has a big impact on human health and the environment because it’s hard to decompose. The aim of this study is to provide information on the effects of microplastics on the environment through a review study. This study uses a descriptive method with a literature review approach. The criteria for articles used sources from Scopus, Science Direct, ProQuest, SpringerLink, Google Scholar, Nature, JSTOR, and Emerald Insight. The conclusion in this study found a relationship between the presence of microplastics with human health problems, and the environment so that it is necessary to mitigate against plastic waste pollution such as 3R and substitution of materials.

Laboratory monitoring, which is usually carried out by laboratory personnel, is now carried out in real time and in a modern way. The purpose of this laboratory monitoring is to determine the room temperature using a K-type thermocouple which is standardized with a standard thermometer. The results of these objectives are to know the validation value and to know the heuristic value of the K-type thermocouple from the sensor in the K-type thermocouple called the LM35 sensor. These results are obtained from a system that has been created named room temperature monitoring in real time using a K-type thermocouple. This system was established from the use of the damaged OHP (Over Head Projector) as a mini laboratory, then around the OHP were placed four pieces of glass on all four sides that had been coated with aluminum, and then placed the LM35 sensor which was placed in the corners of the OHP side and outside the glass coated with aluminum. Then the wire from the K-type thermocouple is inserted in the middle position in the OHP. The LM35 sensor that is inserted into the OHP is connected to the Raspberry pi Type B which serves as the brain of the system that is made. This system displays the ADC value and Temperature value when the Halogen lamp is turned on in an artificial laboratory (OHP). Monitoring measurements are carried out with 1 measurement on a standard thermometer and four measurements on a test instrument (Type-K Thermocouple). The results of the sensor characterization are test accuracy values ​​of 98.21%. Precision results are 99.81%. Linearity results are 99.91% and the sensor sensitivity result is 0.27.

Tangan bionik merupakan pengembangan teknologi dari tangan buatan menggantikan sebagian fungsi tangan bagi orang-orang yang kehilangan tangan akibat kecelakaan, kelainan dan amputasi. Gerakan tangan bionik secara sederhana adalah dengan memanfaatkan teknologi pembacaan sinyal otot menggunakan sistem kontrol dikendalikan oleh sinyal otak (electroencephalogram, EEG). Penelitian ini mengusulkan desain Dual Band antena tangan bionik untuk komunikasi jarak jauh pada fekuensi 900Mhz dan untuk komunikasi jarak pendek di frekuensi 1800MHz. antena berdasarkan bentuk dan ukurannya mempunyai empat karakteristik dasar yaitu directivity, gain, polarization dan beamwidth. Antena PIFA harus memiliki ukuran kecil, sesuai dengan tangan bionik, serta memiliki kinerja yang baik dalam peningkatan gain tinggi dipasang ditangan bionik dan efisiensi radiasi serta tidak boleh menurunkan kulaitas pola radiasi atau mempersempit bandwith. Untuk mencapai tujuan tersebut, dikembangkan dual band planar inverted - F antenna (PIFA) yang diminiaturisasi dengan teknik meander dan spiral, serta teknik konformal. Proses penalaan desain menggunakan Teknik design of experiment (DOE) untuk mengenali parameter desain yang signifikan dan koefisien talanya (slope). Material design menggunakan Material Miu Negatif (MNG) berstruktur Spiral Resonator (SR) Dengan DOE, PIFA Spiral (1800 MHz) dan PIFA Meander (5 GHz). Kedua antena ini ditempatkan di siku dan pergelangan tangan bionik. Frekuensi resonansi PIFA Spiral bergeser hingga 179,6 MHz dan PIFA Meander hingga 57 MHz. Hasil DOE dimanfaatkan untuk melakukan penalaan sehingga pergeseran frekuensi ini dapat dikoreksi. Hasil pengukuran PIFA Spiral didapatkan S11 sebesar -22,2 dB pada frekuensi resonansi 1800 MHz, bandwidth 6 MHz, dan gain -17,9 dBi; antena ini dapat digunakan untuk LoRa kanal 8. Pengukuran PIFA Meander menghasilkan S11 sebesar -24,6 dB pada frekuensi resonansi 2,419 GHz, bandwidth 10 MHz, dan gain -12,2 dBi; antena ini bisa digunakan untuk Bluetooth Low Energi kanal 7.

Introduction: Hypertension is a manifestation of hemodynamic imbalances resulting in various cardiovascular complications and others in the body systems. The prevalence of hypertension in Indonesian adults aged 18 years was 34.1%, and it increased by 8.3%. Globally, it accounts for about 60% of deaths. This study aimed to analyze risk factors for hypertension in industrial workers. Methods: This study used a meta-analysis, a statistical method that combines previous studies to find an effect size value or summary on JASP software. Data in this study came from database online and were sorted according to the inclusion-exclusion criteria following PRISMA. In the final step, 14 research articles were collected. Results and Discussion: Noise intensity had a 1.974 times greater risk on the prevalence of hypertension in industrial workers; work period had 2.316 times greater risk; duration of exposure gave a 1.716 times greater risk; and smoking had a 1.896 times greater risk. Conclusion: The highest risks for the incidence of hypertension in industrial workers come from period of work, noise intensity, and smoking habits; while, the lowest is in the length of exposure

Paper ini berisi mengenai optimasi untuk menemukan konfigurasi jaringan distribusi paling tepat dengan menggunakan metode Particle Swarm Optimization untuk mendapatkan rugi daya paling minimal. metode ini bertujuan untuk mereduksi kerugian daya, meningkatakan profil tegangan, serta menetukan titik optimal dari pemasangan peralatan kompensasi. Meskipun metode ini memberikan solusi mendekati hasil optimum, dalam menyelesaikan masalah OPF kompleks, perlu waktu yang lebih lama dalam menentukan titik optimumnya. Hal ini mendorong penulis untuk melakukan studi lebih lanjut mengenai metode GWO yang diusulkan dalam penyelesaian masalah OPF agar solusi yang dihasilkan efisien, layak, andal dengan standar deviasi yang diijinkan oleh sistem. Untuk bahan uji digunakan dua data uji yakni data  model sistem dilakukan pada sistem interkoneksi Jawa Bali dengan IEEE 400 bus dengan 4 distributed generation serta data GI BSB yang terdiri dari lima penyulang dan 1 DG. Rekonfigurasi jaringan dilakukan dengan mengatur load brake switch (LBS) dari jarak jauh. Perancangan program dilakukan menggunakan software MATLAB R2014a