<p class="Text"><em>In Kendal, smoked fish producers generally use the hot smoking method, in which the fish is placed close to the smoke source and smoked for three to four hours. The upside is that it has a significant impact on supporting many human endeavors, such as in industrial fishing and food processing. While the negative impact on the environment, such as environmental damage due to global warming, and air pollution. To overcome this problem, a prototype of an environmentally friendly Electrostatic Precipitator chimney has been created. This prototype is operated using power from a Solar Power Plant (PLTS). The results of this study indicate the potential absorption of solar radiation by solar cells shows good efficiency in the first test, the efficiency of solar cells recorded the lowest value of 8.50%, the highest reached 15.76%, with an average of 13.03%. Furthermore, in the second test, the efficiency of the Solar Cell showed an increase, recording the lowest value of 12.83%, the highest reaching 17.19%, and an average of 14.72%. The best test is in the second test because the first test is cloudy and drizzling. By utilizing the intensity of solar radiation as a resource, the Electrostatic Precipitator can be operated quite well. In the two tests carried out, the average output power of solar panels reached 28.51 and 49.49 Watts. Meanwhile, for the power used as the input of the tool in the two experiments, the values recorded were 30.70 and 10.33 Watts.</em></p><p> </p><p><strong><em>Keywords</em></strong><em>: </em><em>Fumigation, Electrostatic Precipitator, PLTS (Solar Power Plant)</em></p><p> </p><p class="Abstract" align="center"><strong>ABSTRAK  </strong></p><p>Di Kendal, para produsen ikan asap umumnya menggunakan metode pengasapan panas, di mana ikan diletakkan dekat dengan sumber asap dan diasapi selama tiga hingga empat jam. Dampak positifnya adalah memiliki dampak yang signifikan untuk mendukung banyak usaha manusia, seperti di bidang indutsri perikanan dan pengolahan makanan. Sedangkan, dampak negatifnya terhadap lingkungan, seperti kerusakan lingkungan akibat pemanasan global, dan polusi udara. Untuk menangani masalah tersebut, telah dibuat sebuah prototipe cerobong <em>Electrostatic Precipitator </em>yang ramah lingkungan. Prototipe ini dioperasikan menggunakan tenaga dari Pembangkit Listrik Tenaga Surya (PLTS). Hasil penelitian ini menunjukkan potensi tingkat penyerapan radiasi matahari oleh <em>Solar Cell</em> menunjukkan efisiensi yang baik pada pengujian pertama, efisiensi <em>Solar Cell</em> tercatat nilai terendah sebesar 8,50 %, tertinggi mencapai 15,76 %, dengan rata-rata 13,03%. Selanjutnya, pada pengujian kedua, efisiensi <em>Solar Cell</em> menunjukkan peningkatan, mencatat nilai terendah sebesar 12,83 %, tertinggi mencapai 17,19 %, dan rata-rata sebesar 14,72 %. Pengujian terbaik terdapat pada pengujian kedua dikarenakan pengujian pertama terdapat cuaca mendung dan gerimis. Dengan memanfaatkan intensitas radiasi matahari sebagai sumber daya, alat <em>Electrostatic Precipitator </em>dapat dioperasikan dengan cukup baik. Pada dua pengujian yang dilakukan, rata-rata daya <em>Output </em> panel surya mencapai 28,51 dan 49,49 <em>Watt</em>. Sementara itu, untuk daya yang digunakan sebagai <em>Input </em>alat tersebut dalam dua percobaan, nilai yang tercatat adalah 30,70 dan 10,33 <em>Watt</em>.</p>

<p class="Text"><em>Electricity is energy that flows through cable networks and has become an important part of the progress of human civilization in various fields. The high demand for electrical energy for consumers requires providers of electrical energy to provide a reliable but economical supply of electrical energy. Therefore, strategies and methods are needed to adjust the supply and demand of electrical energy. This can be achieved by carrying out proper and appropriate operational planning. One of the important steps in planning the operation of an electric power system is predicting the demand for electrical energy. However, in the existing research there are still deficiencies in the form of a high error rate. The purpose of this study was to determine the implementation of the multilayer perceptron artificial neural network to predict electricity in 2022-2026 at PT PLN (Persero) UP3 Salatiga. The study used time series data on electricity consumption for the previous 5 years. Based on the research that has been done, the best network variation is TRAINGDA 4 hidden layer with 20 hidden layer nodes, this network model at the training stage produces output with MAD of 2,624,072 kWh and MAPE of 2.79%, and at the stage testing produced an output with MAD of 3,728,386 kWh and MAPE of 3.24%.</em></p><p> </p><p><strong><em>Keywords</em></strong><em>: </em><em>M</em><em>ultilayer perceptron artificial neral network, </em><em>F</em><em>orecasting, </em><em>E</em><em>lectricity consumption.</em></p><p><em><br /></em></p><p class="Abstract" align="center"><strong>ABSTRAK  </strong></p><p class="Text">Listrik merupakan energi yang mengalir melalui jaringan kabel serta sudah menjadi bagian yang penting dalam kemajuan peradaban manusia di berbagai bidang. Tingginya kebutuhan energi listrik pada konsumen mengharuskan penyedia energi listrik menyediakan suplai energi listrik yang handal tetapi tetap ekonomis. Oleh karena itu, diperlukan strategi dan metode untuk penyesuaian antara <em>supplay</em> dan <em>demand</em> energi listrik. Hal tersebut dapat dicapai dengan melakukan perencanaan operasi yang baik dan tepat, salah satu langkah perencanaan operasi sistem tenaga listrik yang penting yaitu prediksi kebutuhan energi listrik. Namun dalam penelitian yang ada masih terdapat kekurangan berupa tingkat kesalahan yang masih cukup tinggi. Tujuan dari penelitian ini adalah untuk mengetahui implementasi <em>multilayer perceptron artificial neural network</em> untuk melakukan prediksi listrik pada tahun 2022-2026 pada PT PLN (Persero) UP3 Salatiga. Penelitian menggunakan data <em>time series</em> konsumsi energi listrik 5 tahun sebelumnya. Berdasarkan penelitian yang telah dilakukan didapatkan variasi jaringan terbaik yaitu TRAINGDA 4 <em>hidden layer</em> dengan 20 <em>node hidden layer</em>, model jaringan ini pada tahap <em>training</em> menghasilkan <em>output</em> dengan nilai MAD sebesar 2,624,072 kWh dan MAPE sebesar 2.79%, serta pada tahap <em>testing</em> menghasilkan <em>output</em> dengan nilai MAD sebesar 3,728,386 kWh dan MAPE sebesar 3.24%.</p>

Software architecture validation is the process of assessing whether a software architecture meets its intended requirements and goals. It is an important step in the software development process, as it can help to identify and address potential problems early on before they become more costly and difficult to fix. There are a variety of different methodologies that can be used to validate software architecture. Some of the most common methodologies include Architectural evaluation methods, Architecture tests and reviews, and Model-based validation. This paper will provide an overview of the different methodologies that can be used to validate software architecture. Apart from that, it also analyzes and summarizes the strengths and weaknesses of each method so that it can guide determining the most appropriate methodology for a particular case.

This research aims to increase knowledge and insight in the field of industrial economics and aims to analyze industrial competitive strategies in facing technological advances. The research method uses qualitative methods and library research. The data collection technique is to record important information in carrying out data analysis by means of data reduction, data presentation and drawing conclusions to obtain conclusions. The results of the research show that Indonesia's industrial strategy is to be able to survive in competition and import substitution must be increased to meet the needs of a growing society. increasing even though industry can be one of the strategies in the industrial sector that can be developed in the future in an effort to realize Indonesia's economic growth.

Abstrak – Pengetahuan dasar tentang pengenalan Tuhan sangat penting dalam pertumbuhan anak-anak yang beragama Kristen, karena firman Tuhan menjadi kebutuhan pokok bagi mereka. Kegiatan Sekolah Minggu telah disediakan untuk memfasilitasi pengetahuan anak-anak tentang pengenalan Tuhan. Namun, dalam proses pembelajaran, seringkali terdapat kendala seperti kurangnya media peraga dan kurangnya variasi kegiatan, yang dapat menghambat minat anak-anak dalam Sekolah Minggu. Game edukasi merupakan salah satu bentuk media digital yang dapat membantu kegiatan Sekolah Minggu dalam proses belajar dan mengajar. Game ini dapat menarik perhatian anak-anak dengan menggabungkan konsep belajar dan bermain. Penelitian ini bertujuan untuk merancang aplikasi game edukasi yang dapat memudahkan pengajar Sekolah Minggu dalam menyampaikan materi dengan baik, serta membantu pengajar untuk mengevaluasi pemahaman anak-anak tentang materi yang telah disampaikan. Aplikasi game ini dirancang dan dikembangkan menggunakan Adobe Animate dengan Action Script 3.0 dan metode prototyping. Hasil penelitian ini adalah aplikasi game Sekolah Minggu berbasis Android yang diberi judul "Sunday Fun-Day", yang dapat membantu pengajar Sekolah Minggu dalam memberikan gambaran langsung tentang materi yang disampaikan.

Twitter is a social media that provides information for its users. Interactions on Twitter may increase the amount of data from its users. Business development cannot be separated from product competition between business actors. One way for companies to win the competition is to know the purchasing power of customers. A product's selling power can be known one way or another through user interaction on Twitter. User-generated content (UGC) results from data on Twitter. UGC data can be used to determine the product supply scheme taken by laptop products in this study. The method used to analyze the interaction is Social Network Analysis (SNA) by comparing the properties of the network. Social network modeling on UGC data was carried out on three laptops: Lenovo v14, Asus ZenBook S, and Acer Swift 3. From the graph visualization, it was found that Acer excels in two properties, namely "Size" and "Average Degree." Meanwhile, the Asus ZenBook S dominates the "Modularity" property.

Penelitian ini bertujuan untuk mengeksplorasi praktik teknologi mahasiswa yang melaksanakan Program Pengalaman Lapangan (PPL) dalam pembelajaran berbasis Teknologi Informasi dalam situasi pandemi dan setelah pandemi Covid-19. Metode yang digunakan adalah metode kualitatif dengan subjek penelitian adalah mahasiswa jurusan Pendidikan Teknik Informatika dan Komputer UKSW. Penelitian ini juga dilakukan untuk mengetahui bagaimana penggunaan dan permasalahan yang dihadapi mahasiswa PPL dalam penerapan Teknologi Informasi pada situasi dan kondisi pendidikan yang berbeda, dengan teknik pengumpulan data melalui wawancara menggunakan aplikasi WhatsApp. Hasil wawancara diolah dan disajikan dalam bentuk tabel informasi. Hasil yang diperoleh dari penelitian ini menunjukkan bahwa praktik penggunaan teknologi mahasiswa PPL saat dan setelah pandemi dinilai cukup baik dengan upaya yang dilakukan untuk terus dapat menyampaikan materi di tengah kendala dan situasi yang ada. Saat pandemi, sebanyak 80% informan mengaku terbantu dengan adanya teknologi-teknologi tersebut karena materi pembelajaran dapat diakses dimana saja tanpa melalui tatap muka. Sebanyak 10% informan merasa teknologi kurang mampu untuk menunjang pembelajaran disebabkan karena adanya gangguan koneksi internet yang menyebabkan materi pembelajaran yang disampaikan tidak berjalan baik. Dan sebanyak 10%  informan merasa tidak terbantu karena siswa menjadi pasif. Sedangkan pada situasi setelah pandemi, seluruh informan atau 100% responden menyatakan terbantu dengan teknologi-teknologi yang ada.
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Control and monitoring systems that use the Internet-of-Things (IoT) can be found in everyday life, for example, in smart home applications, smart transportation, and smart cities. IoT-based monitoring of environmental conditions both indoors and outdoors is generally carried out to reduce the risk of unwanted events. One example of an unwanted event is a fire. Fires can occur in houses, office buildings, rice fields, or forests. In order to help provide early warning of a flame that can cause a fire, this study aims to design and implement an IoT-based fire detection and warning system using the NodeMCU ESP8266 and a flame sensor. The sensor used is an infrared sensor that will detect infrared light radiation coming from a fire. The test results show that the system successfully detects the presence of fire up to 50 cm from the fire sensor and can be monitored via thinger.io. Additionally, notifications from thinger.io via e-mail and Telegram to users were successfully executed.

Public relations is a communication activity between a company, agency or organization and the public. Therefore, public relations plays an important role for an organization to establish good relations with the public. This research uses a qualitative descriptive approach, namely by analyzing behavior or actions that occur narratively. The data sources in this research use primary and secondary sources. Primary data is data obtained from observation, interviews and documentation. Meanwhile, secondary data is data obtained from research journals, books and research articles. The sampling technique in this research used a purposive sampling technique. The purposive sampling technique is a sampling technique that takes information from an informant who has the potential to know the data needed in the research. The aim of this research is to understand the role of public relations in depth at PT. Prima Mitra Elektrindo. The results of this research indicate that the role of public relations at PT. Prima Mitra Elektrindo has done this optimally.

Management of facilities and infrastructure is one of the factors affecting success in a company. One is to support the company's operational activities. The purpose of this study was to find out the management of infrastructure in one of the companies engaged in food and beverage. The research results show that the company has carried out management by doing the planning, procurement, maintenance, inventory, and removal of infrastructure. However, not all infrastructure is in an optimal state. This can be seen from the manual use of the machine and the leaky air conditioning due to the lack of regular maintenance. This study used qualitative methods using data collection techniques, namely observation, interviews, and prior literature, and using purposive sampling techniques.