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This study examines plant water requirement management in urban farming using an automatic drip irrigation system. The system consists of 20 reused 1.5-liter bottles as water reservoirs and 20 emitters as drip control valves. The experiment was conducted on two planting beds, namely basil and mustard greens, with drip settings of 60, 125, and 180 drops. Before operation, calibration and correction factors were applied to ensure that the design discharge matched field conditions. The objective of this study was to determine the drip irrigation layout model and plant water requirements over 37 days. The layout used a parallel arrangement of three rows of plants with two rows of irrigation devices placed between them. Water demand was calculated using the radiation method based on daily evapotranspiration (ETo), considering latitude, altitude, temperature, wind speed, and relative humidity data. The results showed that ETo ranged from 8.51 to 8.84 mm/day, equivalent to 38.937 to 40.094 liters/day. After applying correction factors for each drip setting, the actual water requirement indicated surplus water stored in the soil and used for plant growth. The study concludes that drip irrigation management must account for residual soil water so that evapotranspiration demand during sunlight exposure is continuously met

Employee attendance is an important indicator to demonstrate the discipline and performance of village employees. The process of recording employee attendance previously at the Lumban Dolok Village Office was still done manually. This can cause problems such as incorrect data, slow report collection, and absenteeism. Therefore, the purpose of this study is to develop a web-based presence-monitoring information system that uses the Location-Based Service (LBS) method. The purpose of the LBS method is to ensure that the attendance process can be carried out only when employees are within a specified radius of the Lumban Dolok Village Office. This system uses latitude and longitude data from the user's device to calculate the geographic distance to the location's center point. The developed system uses the user's device's latitude and longitude to calculate the distance between the employee's location and the attendance center. Within a radius of 25 meters, the attendance process can only be carried out if the employee is within that radius; if they are outside the radius, then the attendance will be automatically rejected by the system. In this study, the waterfall system development method was employed, with PHP and UML. The results of the study show that this system can help the village office monitor employee attendance directly, speed up the collection of attendance reports, and reduce the risk of data manipulation. In addition, attendance reports are easily accessible by admins and village heads to assess employee performance. Thus, the web-based attendance information system using the LBS method is expected to improve compliance, transparency, and effectiveness of attendance management at the Lumban Dolok Village Office.

 The increasing use of electric vehicles in last-mile logistics distribution demands efficient and strategic charging infrastructure. This study aims to determine the optimal location for electric vehicle charging stations in Semarang City using the Set Covering Problem approach. A total of 17 last-mile distribution points operated by a logistics company were analyzed based on geographic data consisting of latitude and longitude coordinates, which were then processed into a distance matrix using the Euclidean formula. The optimization model was developed under the constraint of the electric vehicle’s maximum coverage radius and solved using binary linear programming. The analysis revealed that a single charging station located in Central Semarang is sufficient to cover all distribution points spread across the city. These findings reinforce the efficiency of the set covering approach in infrastructure planning and offer practical implications for logistics companies to optimize resources, minimize investment costs, and improve operational efficiency.

Pasar properti rumah memiliki harga yang bervariasi tergantung lokasi dan spesifikasi bangunan. Penelitian ini melakukan segmentasi harga properti berdasarkan lokasi (latitude & longitude), harga, dan luas bangunan menggunakan algoritma K-Means Clustering. Dataset berisi 18.962 data properti dari wilayah Bandung dan sekitarnya. Data melalui tahap pembersihan, transformasi lokasi ke koordinat geografis, normalisasi, dan denormalisasi untuk memastikan kualitas analisis. Metode Elbow digunakan untuk menentukan jumlah cluster optimal dan menunjukkan nilai K = 3. Proses clustering menghasilkan tiga segmen: Cluster 0 (Affordable Housing) mencakup 7.751 properti dengan harga rendah dan bangunan kecil, Cluster 1 (Luxury Estate) sebanyak 2.402 properti dengan harga tinggi dan bangunan luas, serta Cluster 2 (Middle-Class Residences) terdiri dari 5.555 properti dengan karakteristik menengah. Visualisasi menggunakan peta interaktif berbasis Folium memperlihatkan distribusi spasial yang jelas, dengan konsentrasi tertinggi berada di pusat kota seperti Bandung dan Cimahi. Rata-rata harga di cluster 0 sekitar Rp900 juta, cluster 1 mencapai Rp4,9 miliar, dan cluster 2 sekitar Rp1,8 miliar. Penelitian ini menunjukkan bahwa K-Means efektif untuk segmentasi harga properti. Untuk hasil yang lebih komprehensif, disarankan agar penelitian lanjutan menambahkan variabel seperti aksesibilitas, fasilitas umum, dan kondisi bangunan.

The Automatic Identification System (AIS) is a maritime identification and tracking system that must be implemented on certain vessels in accordance with the regulations of the International Maritime Organization (IMO). One of the ways to enhance maritime safety on ships is by utilizing AIS. This research aims to develop a low-cost AIS intended for use on small vessels such as fishing boats. This study utilizes hardware components such as the GPS M8N, Arduino Nano, and LoRa RA-02 module. The LoRa module is chosen for its ability to transmit data over long distances with low power consumption, making it ideal for maritime applications. The Arduino microcontroller is responsible for controlling the entire system, while the GPS M8N is highly effective in achieving accurate positioning within meter-level precision. The Arduino Nano serves as the main component for receiving and processing data from the GPS M8N and LoRa RA-02, then transmitting the data to the receiver. The methodology and system design in this research follow an experimental approach, where at least one variable is manipulated to study cause-and-effect relationships. The test results of the AIS transmitter device indicate that it can successfully transmit call sign, latitude, and longitude data, with a maximum transmission range of 15 meters on land and 13 meters at sea.

This study looks into how Nigerian deposit money banks behave with creative accounting. Five deposit money institutions in Nigeria were included in the ten-year sample, which ran from 2007 to 2016. The study's multiple regression analysis showed that the performance of banks is not much impacted by non-performing loans. Additionally, it was discovered that while gross earnings significantly improved the performance of Nigerian deposit money institutions, total accrual had no discernible impact on that performance. While it would be absurd to believe that banks' creative accounting procedures have no good impact at all, it is possible to reduce their negative consequences to a minimum by implementing the International Financial Reporting Standard (a new standard), which places greater emphasis on ethical factors and reduces bank managers' latitude in selecting various accounting techniques. Financial statement fraud would be further decreased and of higher quality as a result.

The development of technology is something that cannot be separated from humans at this time, it is based on technology that is increasingly growing. But on the problems faced in the search for facilities and services private tutoring is still an information manual so that it is difficult for the community to find facilities and services for private tutoring especially in non-academic fields. Then it needs to be specifically designed as a search system for facilities and private tutoring services through web-based media. Thus the community is not difficult to find a place or non-academic field private tutoring services because in this system there is a latitude of maps that will show the location and there are display fees and online payments via a bank account. In designing the system the author observes the company and the community as well as a bibliography that aims to be a benchmark. The author uses the Business Model Canvas (BMC) method with the support of system requirements elicitation, as well as modeling the Unified Modeling Language (UML) system to visually implement the Hypertext Preprocessor (PHP) program language with the MySQL database as a database server. With the design of a search system for facilities and private tutoring services, it can make it easier for people to find effective and efficient facilities or services in non-academic fields.

Central Papua Province is a new autonomous region province located in the Papua region. consists of 8 districts with the dominant topography of high rainfall for most of the year. As a result, the region in Central Papua often experiences hydrometeorological disasters, including floods, landslides, fallen trees, collapsed roofs. This study aims to map weather forecast infographics in Central Papua Province with QGIS and Adobe Photoshop Using the utilization model in the QGIS application which is overlaid with shapefile data from the BMKG signature of Central Papua Province. As well as shapefile data from the geospatial Indonesia website, namely the latest village and administrative boundaries 2022/2023 for the expansion of 38 provinces on a scale of 10K BIG. Then On the photoshop application helps infographic image editing. In making a map of Central Papua province with additional administrative boundaries of protected areas, tourist sites and latitude and longitude. As well as BMKG signature polygon alerts from signature.bmkg.go.id/ site. Once overlayed, it produces any area affected.       

This article focuses on the effectiveness of law enforcement in the maritime sector. This is very important, considering that Indonesia is one of the countries with the longest coastal latitude in the world. So it is important to discuss this issue. Regarding the research method used is descriptive qualitative using data collection methods, namely library research. Based on the author's analysis, it can be concluded that law enforcement practices in the Indonesian maritime sector still have several shortcomings. Based on the author's analysis, state defense law enforcement practices in the Indonesian maritime sector are still not effective. This is due to overlapping laws and regulations in Indonesia. The impact of this overlap results in the spread of law enforcement agencies and difficulties in providing facilities and infrastructure for law enforcement in Indonesian waters. These conditions mean that Indonesia's national defense in the maritime region often experiences violations of the law, both by the Indonesian people and other countries, both by individuals and groups.

Factors Associated with Completeness of Basic Immunization for Infants at Ulee Kareng Health Center. Basic immunization is a program carried out to protect a person's body from diseases that can be prevented by immunization (PD3I) caused by viruses or bacteria, including tuberculosis, polio, diphtheria, pertussis, tetanus, hepatitis B, flu, measles and rubella. Based on data from the Directorate General of Disease Prevention and Management, the Indonesian Ministry of Health in 2018, ranks of Aceh Province are the lowest in basic immunization coverage, which is 70%. This study aims to determine the factors associated with completeness of immunization in infants with quantitative analytical methods with a cross sectional design approach (Cut Latitude). The study was conducted in March-July 2021 and obtained as many as 62 samples with the sampling method by accidental sampling. The results of this study indicate that there is a relationship between mother's knowledge and completeness of infant basic immunization with a p-value of 0.000, there is a relationship between mother's education and completeness of infant basic immunization with p-value of 0.000001, there is a relationship between mother's employment status and completeness of infant basic immunization p-value 0.003, and there is a relationship between family support and completeness of basic infant immunization with a p-value of 0.000. The distance to the place of immunization service does not have a relationship with the completeness of infant immunization with a p-value of 0.054. The efforts of the puskesmas in achieving immunization completeness were scored well by conducting an assessment of planning, implementation and assessment activities using a questionnaire containing 5 questions on planning, 5 questions on implementation and 5 questions on assessment. Based on the results of this study, it can be concluded that the level of knowledge, education, employment status, and family support has a relationship with the status of completeness of infant immunization. The distance to the place of immunization service does not have a relationship with the infant's immunization status. The researcher's suggestion is to do research with a larger sample and add various other variables that have a relationship with the infant's immunization status.  

Pada era sekarang akomodasi bus masih cukup diminati karena kemudahan dalam mengaksesnya. Namun ketidakpastian waktu kedatangan bus tersebut terkadang menjadi masalah bagi calon penumpang karena seringnya tertinggal oleh bus yang ingin di tumpanginya. Dengan adanya permasalahan tersebut dibuatlah sebuah sistem dalam memperkirakan jarak dan waktu kedatangan bus. Dalam membangun sistem tersebut memanfaatkan modul GPS Neo-6M dan NodeMCU ESP8266 sebagai penentu titik lokasi bus. Modul GPS Neo-6M akan menerima data latitude dan longitude dari satelit navigasi yang kemudian data akan diolah NodeMCU ESP8266 dan dikirimkan ke firebase realtime database. Dalam website yang dibangun terdapat google maps API dan distance matrix service, dalam website juga terdapat titik lokasi Terminal dimana calon penumpang ingin menungu kedatangan bus. Website yang dibangun akan membaca data dari firebase realtime database dan akan menggitung hasil jarak dan perkiraan waktu kedatangan bus dengan data yang telah diperoleh dari firebase realtime database dan data dari titik terminal dimana calon penumpang ingin menunggu kedatangan bus. Berdasarkan penelitian yang telah dilaksanakan diketahui bahwa sistem yang dibuat dapat berjalan dengan baik, sistem mampu menghitung jarak dan perkiraan waktu kedatangan dari data yang ada dengan nilai rata-rata kesalahan pada pengukuran jarak sebsesar 0,9% serta sistem yang dibangun dapat menampilkan perkiraan waktu kedatangan bus.

PT Telkom Indonesia menyimpan data infrastruktur kabel dalam bentuk digital ke dalam Sistem Informasi Geografis berbasis website. Jumlah infrastruktur kabel tersebut sekitar 3.159 buah, tiap kabel direpresentasikan sebagai polyline atau kurva dengan kabel paling sederhana terdiri dari 3 titik dan yang terbesar terdiri dari 2.646 titik. Setiap titik terdiri dari koordinat latitude dan longitude. Ketika pengguna ingin mengakses atau mengelola kabel, semua data kabel harus dikirim dari server ke komputer pengguna dengan total ukuran data 16 MB. Hal ini menimbulkan masalah karena pengguna tersebar di berbagai wilayah dan berbagai kondisi jaringan. Saat pengguna berada di jaringan 3G, waktu yang diperlukan untuk menampilkan seluruh data kabel adalah sekitar 1,5 menit atau lebih, dan hal ini menyebabkan pengguna mengalami gangguan karena waktu tunggu yang tinggi. Berdasarkan permasalahan tersebut, pada penelitian ini dilakukan penerapan algoritma Ramer-Douglas-Peucker (RDP) untuk menghasilkan data kabel baru yang memiliki jumlah titik lebih sedikit daripada kabel aslinya. Berdasarkan hasil penelitian, algoritma RDP dengan ε sebesar 0,01 mampu menghasilkan data kabel baru dengan ukuran total 810 kB dan dapat dikirimkan dari server ke pengguna dalam waktu 5,10 detik dengan tetap mempertahankan detail lonjakan kurva.