Abstract:Abstract: Utilization of computer technology in data processing processing of Balai Pengelolaan Daerah Aliran Sungai in BPDAS Kota Padang still no. All still done manually so that in making the report requires precision…
and a long time. Therefore, the researcher builds a watershed management information system in BPDAS Kota Padang using Visual BasicNet 2012 programming language. By utilizing computerized system is expected to assist the processing of data management of watersheds in BPDAS Padang so that it can produce fast information , precise and accurate.
Keywords: information system, data processing, Balai Pengelolaan Daerah Aliran Sungai
Abstrak: Pemanfaatan teknologi komputer dalam proses pengolahan data balai pengelolaan daerah aliran sungai di BPDAS Kota Padang masih belum ada. Semua masih dilakukan secara manual sehingga dalam pembuatan laporan membutuhkan ketelitian dan waktu yang cukup lama. Oleh sebab itu, peneliti membangun suatu sistem informasi pengelolaan daerah aliran sungai di BPDAS Kota Padang dengan menggunakan bahasa pemrograman Visual Basic Net 2012. Dengan memanfaatkan sistem komputerisasi diharapkan dapat membantu proses pengolahan data pengelolaan daerah aliran sungai di BPDAS Kota Padang sehingga dapat menghasilkan informasi yang cepat, tepat dan akurat.
Kata kunci: sistem informasi, pengolahan data, Balai Pengelolaan Daerah Aliran Sungai
Abstract:Abstract: Enormous logistical needs on General Hospital Kartini range to facilitate treatment requires a system that can predict to meet those needs with the right so as not to result in advantages and disadvantages to the…
he amount of usage that is always changing every year. At this time the calculations have been carried out with the help of software that is on a high-speed computer such as Neural Networks. Neural networks are used to predict the projection Backpropogation logistics patients based on the type of drugs Analgesics, antiemetics, vitamins, Antiepileptic, Anesthesia, Anti-Parkinson, Psychotherapeutic, Corticosteroids. This logistical projection data processing using software of Matlab 6.1. After using Backpropogation finally found the best architectural pattern is 8-3-3-1 of 5 aritektur architecture that has been tested. Of the pattern is then predicted projection logistics at General Hospital Kartini range in 2014 will increase to 91 290 from 65 422 in 2013 for an increase of 25 868 (28.33%).
Keywords: neural networks, backpropagation algorithm, projection logistics, matlab
Abstrak: Kebutuhan logistik yang sangat besar pada Rumah Sakit Umum Ibu Kartini Kisaran untuk memperlancar pengobatan membutuhkan suatu sistem yang bisa memprediksi untuk memenuhi kebutuhan tersebut dengan tepat agar tidak mengakibatkan kelebihan dan kekurangan terhadap jumlah pemakaian yang selalu berubah setiap tahunnya. Pada saat ini proses perhitungan telah banyak dilakukan dengan bantuan software-software yang ada pada komputer yang berkecepatan tinggi seperti Jaringan Saraf Tiruan. Jaringan Saraf Tiruan Backpropogation digunakan untuk memprediksi proyeksi logistik pasien berdasarkan jenis obat Analgetik, Antiemetik, Vitamin, Antiepilepsi, Anestesi, Anti Parkinson, Psikofarmaka, Kortikosteroid. Pengolahan data proyeksi logistik ini menggunakan software Matlab 6.1. Setelah menggunakan Backpropogation akhirnya ditemukan pola arsitektur yang terbaik yaitu arsitektur 8-3-3-1 dari 5 arsitektur yang telah diujikan. Dari pola tersebut kemudian diprediksi proyeksi logistik di Rumah Sakit Umum Ibu Kartini Kisaran pada tahun 2014 akan meningkat menjadi 91290 dari tahun 2013 sebesar 65422 atau meningkat sebesar 25868 (28,33%).
Kata Kunci: jaringan saraf tiruan, algoritma backpropagation, proyeksi logistik, matlab
Abstract:Abstract: Fresh food from plants is a food that is high risk to chemical contamination that can disturb human health so it needs to be tested its quality. Decision Support System is an interactive system that supports decisions…
cisions in the process of decision making through the alternatives obtained from the data processing, information and model design. The Smart method is a multi-attribute decision-making method used to support the manufacturer in choosing between alternatives. Results on the determination of the quality of fresh food imports from plants. Keywords: expert system, smart method, food
Abstrak: Pangan segar asal tumbuhan merupakan pangan yang beresiko tinggi terhadap cemaran kimia yang dapat mengganggu kesehatan manusia sehingga perlu dilakukan uji kualitasnya. Sistem Pendukung Keputusan merupakan suatu sistem interaktif yang mendukung keputusan dalam proses pengambilan keputusan melalui alternatif-alternatif yang diperoleh dari hasil pengolahan data, informasi dan rancangan model. Metode Smart merupakan metode pengambilan keputusan multi atribut yang digunakan untuk mendukung pembuat dalam memilih antara beberapa alternatif. Hasil terhadap penentuan kualitas pemasukan pangan segar asal tumbuhan.
Kata kunci: sistem pakar, metode smart, pangan
Abstract:This research aims to measure the economic resilience of families involved in early marriage in Mayang Village, Jember Regency. Using a mixed methods approach that combines quantitative and qualitative methods, data was…
collected through observation, interviews, documentation, and surveys of 50 respondents who met the criteria. Data analysis using multiple linear regression shows that family income, mother's education level, and access to social assistance programs significantly affect family economic resilience. The data processing in this research uses Descriptive Statistical Analysis to describe the economic characteristics of families, such as income, expenditure, and welfare indicators. The results of this study indicate that early marriage has a significant impact on the economic resilience of families in Mayang Village, as reflected in decreased income and increased health burdens. These findings also highlight the importance of women's economic empowerment programs and improved access to education as efforts to enhance the welfare of families involved in early marriage. Interventions targeting education, health, and changes in social norms are crucial for improving the economic resilience of families in Mayang Village.
Abstract:Meat is one of the essential food ingredients in meeting the nutritional needs. The current problem lies in the consumers' lack of knowledge on how to differentiate between pork, beef, goat, and lamb meat. This is because…
e when the meat is already cut, their appearances may seem similar at first glance. Many consumers are unaware of the practice of mixing different types of meat for consumption. One way to classify animal meat is by using image processing. In this research, an image processing system is created to classify meat, specifically pork, beef, goat, and lamb. Support Vector Machine (SVM) is a development of Machine Learning that can be used in classifying images into specific classes. SVM method as a classifier is performed using a confusion matrix. The test results show the highest accuracy value obtained in the class of Goat Meat 91.4%, the highest precision in the class of goat meat 80%, the highest recall in the class of beef 81.3%, and the highest F1-score in the class of beef 0.76.
Abstract:The study aims to gain a better understanding of the role of Order Taker in improving the quality of Housekeeping services at the The Sunan Hotel. In addition, the study also tries to identify problems faced by staff and…
ways to address them. The research was designed using a descriptive qualitative approach. The theory used is the quality of service. The data obtained was collected through interviews, observations, and literary studies. The result of this research is that Order Taker helps improve the quality of Housekeeping services by receiving and processing guest requests in a timely and efficient manner. Handle guest complaints in a friendly and professional manner. Give me a polite and friendly service. Create a positive relationship with the guests. Using technology to be more efficient. Maintain the comfort and hygiene of the guest room. The obstacles faced are the Order Taker facing many challenges, including high work pressure, lack of technological support, incompatibility with Housekeeping staff, and lack of training and motivation. As for the strategy used to tackle this problem is to keep up with trends using technology, manage workloads, and improve communication. Team coordination, training, and incentives.
Abstract:This research is motivated by the low moral education of students. The moral formation of students depends on the people who shape them and their environmental situations. Madrasah is one of the Islamic educational institutions…
tutions that can determine and shape students' personalities. In general, the aim of this research is to determine the reality of moral formation, the influence of parents' motivation for choosing Madrasah Ibtidaiyah on the moral formation of Class I MI MQ An-Nuur Sindangsari Kasomalang students, as well as the relationship between parents' motivation for choosing Madrasah Ibtidaiyah and the moral formation of Class I MI MQ An students. -Nuur Sindangsari Kasomalang. The method used in this research is a survey research method. Based on the results of data processing, it was found that the reality value reached 4.11 in the effective category. From the t test calculation, the sig value is obtained. 0.000 < 0.05, it can be concluded that there is an influence between parental motivation and the moral formation of Class I MI MQ An-Nuur Sindangsari Kasomalang students. From the results of correlation calculations, the value of sig.0.043 <0.05 is obtained, so it is concluded that there is a relationship between parental motivation and moral formation.
Abstract:This study aims to determine the significant relationship between Christian Religious Education and the Formation of Spirituality of VIII-grade Students at SMP Negeri 1 Pulau-Pulau Batu, South Nias, Academic Year 2022/2023.…
23. The population in this study were all VIII-grade students at SMP Negeri 1 Pulau-Pulau Batu, totaling 25 people, because the population was small, namely only 25 people, the entire population became the research sample, namely 25 people. This study used a quantitative method with SMART PLS software data processing. The method of collecting data as a result of the study was a questionnaire using a Likert scale with 4 answer options. The results of the study in measuring validity where the outer loading results of all indicators were > 0.7, this indicates that all indicators of variables X and Y can represent the latern variable (construct). Likewise, reliability where CA, RO, CR, > 0.7 and AVE > 0.5, shows that all indicators are reliable, so this result can be continued with hypothesis testing which shows that there is a relationship between Christian Religious Education and the Formation of Student Spirituality with T. statistic > T. table, namely 2.109 > 1.96 and p. value 0.035 > 0.05. The conclusion of this study shows that there is a relationship between Christian Religious Education and the Formation of Student Spirituality. (X) with Spiritual Formation (Y) but not significant.
Abstract:Konflik geopolitik di kawasan Timur Tengah, khususnya konflik Israel-Gaza yang meningkat eskalasi sejak Oktober 2023, menjadi salah satu isu internasional yang paling banyak diberitakan oleh media online Indonesia. Penelitian…
itian ini bertujuan untuk mengidentifikasi frame dominan yang digunakan media online Indonesia dalam memberitakan konflik tersebut menggunakan pendekatan komputasional berbasis topic modeling Latent Dirichlet Allocation (LDA). Sebanyak 127 artikel berita dikumpulkan dari berbagai media online Indonesia melalui metode web scraping pada platform Google News RSS, kemudian diproses melalui tahapan preprocessing teks meliputi cleaning, tokenisasi, stopword removal, dan stemming menggunakan library Sastrawi. Model LDA dengan K=4 topik diidentifikasi sebagai konfigurasi optimal berdasarkan coherence score tertinggi sebesar 0,5620. Hasil analisis menemukan empat frame dominan dalam pemberitaan, yaitu: (1) Frame Geopolitik dan Eskalasi Regional (21,3%), (2) Frame Diplomasi dan Negosiasi (32,3%), (3) Frame Dampak Ekonomi Global (17,3%), dan (4) Frame Kemanusiaan dan Korban Sipil (29,1%). Temuan ini menunjukkan bahwa media online Indonesia cenderung membingkai konflik Timur Tengah melalui lensa diplomatik dan kemanusiaan, dengan relatif sedikit perhatian pada dimensi ekonomi. Penelitian ini berkontribusi pada pengembangan metodologi analisis framing berbasis komputasional untuk konteks bahasa Indonesia.
Abstract:Abstrak penelitian ini mengkaji fenomena penyaluran bantuan beras pasca-bencana yang kerap menjadi perbincangan hangat di media sosial X. Tujuan utama penelitian adalah untuk memetakan persepsi masyarakat terhadap kredibilitas…
ilitas dan ketepatan sasaran distribusi bantuan tersebut menggunakan algoritma Naive Bayes. Metode yang digunakan meliputi pengumpulan data berbasis kata kunci relevan, pembersihan data (preprocessing), dan klasifikasi sentimen. Hasil penelitian menunjukkan bahwa Naive Bayes mampu mengidentifikasi kecenderungan opini publik secara akurat, baik berupa dukungan maupun keluhan terkait prosedur distribusi. Implikasi dari penelitian ini diharapkan dapat menjadi rujukan bagi pemangku kebijakan dalam mengevaluasi sistem penyaluran bantuan logistik agar lebih transparan dan responsif terhadap aspirasi masyarakat di ruang digital.