Computer Vision Syndrome  (CVS) encompasses a constellation of ocular and extraocular symptoms in digital devices users who either habitually or compulsively use digital devices for long periods of time. Digital devices emit blue light (400-490 nm) and generate electromagnetic fields, both of which interfere with the circadian rhythms. This study aims to determine the association between CVS and sleep quality of nursing students. The type of research was observational analytics with a cross-sectional approach and conduct proportionate stratified random sampling. CVS was measured by using CVS-Q, while sleep quality was measured by using PSQI. The analysis used univariate analysis to see the frequency distribution and bivariate used Chi-Square. The result of the data analysis showed that 68,4% of the nursing students experienced CVS. The number of respondents who experienced poor sleep quality was 151 (63.7%). Poor sleep quality was present in 71% of individuals with CVS and 48% of students without CVS. The difference was statistically significant (p=0.001) with OR=2,651. CVS is significantly associated with sleep quality in nurse students. Therefore, it is necessary to apply appropriate behaviors and attitudes to use digital devices and prevent CVS from occurring so that the individual's sleep quality becomes better.

Sudah bukan rahasia lagi dan seolah-olah sudah menajadi asumsi umum bahwa hasil pengajaran bahasa Indonesia di sekolah-sekolah dari sekolah dasar sampai sekolah dasar kurang memuaskan.” Masalah yang dimaksud adalah dilihat dari hasil ujian sebagai salah satu barometer keberhasilan pengajaran bahasa Indonesia. Kenyataan tersebut juga pernah penulis jumpai dalam beberapa kali pengalaman mengoreksi hasi ujian cerita rakyat bahasa Indonesia pada siswa. Dari hasil karangan para siswa tersebut banyak sekali penulis jumpai kelemahan-kelemahan siswa dalam penguasaan unsur-unsur pembentuk karangan itu sendiri. Terlepas dari faktor-faktor lain dari kenyataan tersebut, kita dapat berasumsi bahwa pembelajaran bahasa Indonesia khususnya cerita rakyat masih perlu mendapatkan perhatian lebih serius dari para guru bahasa Indonesia.
Penelitian ini menggunakan penelitian tindakan (action research) sebanyak tiga putaran. Setiap putaran terdiri dari empat tahap yaitu: rancangan, kegiatan dan pengamatan, refleksi, dan refisi. Sasaran penelitian ini adalah siswa SDN 15 Pulau Kumbang. Data yang diperoleh berupa hasil tes tanya jawab, lembar observasi kegiatan belajar mengajar.
Dari hasil analis didapatkan bahwa prestasi belajar siswa mengalami peningkatan dari siklus I sampai siklus III yaitu, siklus I (70,73%), siklus II (80,50%), siklus III (90,24%).
Kesimpulan dari penelitian ini adalah merode pembelajaran imajinatif dapat berpengaruh positif terhadap motivasi belajar Siswa SDN 15 Pulau Kumbang, serta model pembelajaran ini dapat digunakan sebagai salah satu alternatif pembelajaran cerita rakyat bahasa Indonesia.
 
 

Coffee price forecasting has a significant role in preventing price fluctuations at a time. Therefore, a method is needed that can be used to forecast the price of coffee. This study discusses the analysis of coffee price forecasting using the Recurrent Neural Network – Long Short-Term Memory (RNN – LSTM) method. This study will be determined the best LSTM model that aims to get the results of forecasting the price of London robusta coffee with the smallest  Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) values. Using the LSTM model with units of 128 and dropouts of 0.1, forecasting the price of London robusta coffee has an RMSE value of 1,303 and MAPE of 3.53%. Therefore, the LSTM model can indicate the cost of London robusta coffee with an accuracy rate of 96.47%. 

Di setiap provinsi atau wilayah memiliki satu atau lebih perusahaan PDAM yang mengelola sumber air, salah satunya ialah PDAM Tirta Bening yang berada di Kabupaten Pati. Akan tetapi, saat ini dalam pengelolan data dan informasinya masih dilakukan secara manual yaitu masih menggunakan data statis menurut data yang telah di petakan sumber mata airnya. Hal ini dirasa informasi yang di dapatkan masih kurang begitu bagus karena masih menggunakan data statis untuk memonitoring pemetaan maupun pendataan suatu sumber airnya. Oleh karena itu penulis membangun aplikasi Sistem informasi geografis pemetaan sumber mata air PDAM Kabupaten Pati berbasis website , dengan metode sistem yang di gunakan adalah pendekatan OOP (Object Oriented Program) dengan menggunakan Unified Modeling Language, dan dengan metode pengembangan sistem waterfall. Hasil pengujian sistem diperoleh dari pengujian blackbox dengan hasil presentase 100% valid, whitebox dengan hasil basis flow memiliki 1 jalur, dan User Acceptance Testing dengan presentase segi kemanfaatannya ialah 98.66% segi tampilan antar muka ialah 100% dan segi kegunaan ialah 100%. Dari hasil pengujian mendapat kesimpulan bahwa sistem sangat layak

The ubiquitous nature of mobile devices and wide array of applications (and services) they offer make them useful in virtually all areas of human endeavours. Owners of mobile devices store large amounts of vital and sensitive personal information on their devices. Unauthorized access to such information by third parties can violate the privacy of users and expose individuals and businesses to huge financial loses and damage to reputation. This makes it imperative for owners of technology service providers and owners of mobile devices to take proactive steps that prevent privacy violation. One of such critical steps is privacy awareness, which is the knowledge and consciousness of the need for privacy, an understanding of actions that promote or compromise privacy and the consequences of irresponsible online behaviour. The aim of this study is to assess the level of awareness of tertiary institution students with respect to privacy issues associated with the use of mobile communication devices. The research uses questionnaires to obtain data on the privacy awareness of users of mobile devices in some tertiary institutions in Plateau State. The paper investigates the current status of mobile privacy issues and awareness of users in these tertiary institutions. It also attempts to expose the gaps in privacy awareness of mobile device users, the factors responsible for limited privacy awareness and strategies for addressing the low level of privacy awareness of mobile device users. The results from this study show that high level of literacy does not necessarily imply high-level privacy awareness. Many respondents who are privacy aware do not possess the necessary skills or knowledge to ensure data and user privacy on their mobile devices. Others who possess this knowledge are will to engage in practices that compromise privacy in exchange for financial gain. Overall, the study exposes the actual level of privacy awareness and defeat the assumption that high level of education automatically results in high-level privacy awareness. It also contradicts the assumption that being privacy-aware guarantees responsible online behaviour and adherence to practices that promote online privacy.

Stemming merupakan suatu proses untuk menemukan kata dasar dari sebuah kata. Penelitian ini bertujuan untuk melakukan tahapan text pre-processing pada data twitter yang menyebutkan topik Presiden 3 Periode , yaitu sebanyak 797 data yang didapatkan dari crawling twitter mulai tanggal 15 April 2022 sampai dengan 30 April 2022, sekaligus melakukan optimasi salah satu teknik stemming terhadap teks berbahasa Indonesia yang memang belum banyak dilakukan. Banyaknya kata yang diolah sebanyak 9401 kata. Optimasi yang dilakukan yaitu dengan memodifikasi kamus bahasa dan menambahkan kata-kata yang dimasukkan dalam stopword sehingga dapat menghasilkan jumlah kata ter-stemming yang semakin meningkat. Sebelum dilakukan optimasi, prosentase keberhasilan stemming mencapai 95,86%, setelah dilakukan optimasi meningkat menjadi 99,93%.

The Covid-19 outbreak has changed the learning system in Indonesia from face to face to distance. This causes the practicum learning process to experience difficulties because the practicum requires a real laboratory so that practicum activities can be carried out. Therefore, to solve these problems through the development of virtual laboratory learning media containing Android-based PjBL to improve student understanding. The existence of a virtual laboratory allows students to carry out practical simulations through these learning media flexibly. The development method used is Successive Approximation Model 1 with 3 iterative stages, namely (1) Evaluate, (2) Design, and (3) Develop. The test results of user testing get a percentage value of 88.17% with a very valid category. It was concluded that the learning media developed was very feasible to use and quite effective in increasing the understanding of SMK students majoring in TKJ on Computer and Basic Network subjects.  

AbstrakLatar Belakang: Pada kasus gangguan post traumatic stress disorder (PTSD) banyak orang yang tidak menyadari gejala-gejala awal karena masih menganggap hal biasa, akhirnya terlambat didiagnosis sehingga mencapai tahap kronis yang membuatnya sulit untuk ditangani, belum lagi kesalahan penyimpulan yang dilakukan oleh para dokter atau tenaga medis yang mengakibatkan kesalahan penanganan awal pada pasien. Padahal setiap penyakit sebelum mencapai tahap kronis atau arena tinggi umumnya menunjukkan gejala-gejala dini penyakit yang telah diderita oleh pasien tetapi masih dalam tahap ringan.Tujuan: Tujuan dari pembuatan sistem pakar ini adalah untuk mempermudah pasien untuk mengenali gejala-gejala dini gangguan post traumatic stress disorder sebelum mencapai tahap kronis.Metode: Metode pengambilan kesimpulan menggunakan metode case base reasoning dengan ambang batas kemiripan ‰¤ 70%   dengan basis kasus berbasis pengetahuan.Hasil: Berdasarkan hasil uji black box pada sistem menunjukan sistem dapat berjalan sesuai dengan yang diharapkan dan berdasarkan hasil uji pada sistem menggunakan basis kasus baru menghasilkan tingkat akurasi diatas 80%.Simpulan : Metode case base reasoning dapat digunakan untuk menentukan gangguan PTSD dengan nilai rata-rata akurasi diatas 80%, menunjukan bahwa sistem bisa digunakan untuk mendiagnosa gangguan PTSD.

The purpose of this study is to implement semantic web technology to search for tourist objects in Pati Regency using ontologies. Search engines are currently unable to provide the exact information that users need. While search engines that use semantics can provide relevant information because the data can be understood according to meaning and are interconnected. Ontology is used to store data in the form of objects that are interconnected with each other. The ontology approach was chosen as an alternative to current storage media (relational based), because the data is easier to present. Pati Regency has a lot of tourism potential to be developed. Statistical data on the number of tours in Pati every year has increased, including religious tourism, cultural tourism, nature tourism, educational tourism and industrial tourism. However, the existence of these many tours has not made the city of Pati a tourist destination for both local and foreign tourists. The results of this study are the presentation of data models for tourist destinations which include cultural tourism, educational tourism, nature tourism, historical tourism, industrial tourism, craft tourism and culinary tourism in Pati Regency which contains some information such as the name of the tour, type of tour, description, the location of the tour and the telephone of the tour.