Media Publikasi Ilmiah UNIKA (Universitas Katolik) Santo Thomas Medan
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PENGARUH JARAK TANAM DAN DOSIS PUPUK NPK TERHADAP PERTUMBUHAN DAN PRODUKSI AKAR WANGI (Vetiveria zizaniodes) PADA SISTEM BUDIDAYA POLIKULTUR DI BAWAH TEGAKAN TANAMAN KARET (Havea brasiliensis)
Full text linkGet the best combination of plant spacing and fertilizer dosage for vetiver growth under rubber tree stands. This research was carried out at the Sungei Putih Research Unit, Rubber Research Center located in Galang District, Deli Serdang Regency, North Sumatra. This research used a factorial Randomized Block Design (RAK), which consisted of two factors, namely fertilizer dose and planting distance. The first factor given is the effect of fertilizer dose symbolized "U" which consists of four levels, namely: U0 = without NPK fertilizer (Control), U1 = 10 gr/plant, U2 = 20 gr/plant, U3 = 40 gr/plant . The second factor used is planting distance (J) which consists of three levels, namely: J1 = 20 cm x 40 cm, J2 = 20 cm x 60 cm, J3 = 20 cm x 80 cm. Each treatment level was repeated 3 times, so that there were 36 plots/experimental units and the total sample of plots was 12, the placement of each sample was carried out randomly. Planting distance 20 x 40 cm = 16 x 12 plots = 192 plants. Planting distance 20 x 60 cm = 16 x 12 plots = 192 plants. Planting distance 20 x 80 cm = 16 x 12 plots = 192 plants. So the total number of plants is 576 plants. The results of this research are that planting distance has a real influence on root wet weight and root dry weight, where a planting distance of 20x60 cm gives the best results. NPK fertilizer does not have an effect on all parameters
PENGARUH KONSENTRASI IAA TERHADAP PERTUMBUHAN STEK BATANG ANGGUR (Vitis vinifera) VARIETAS. JUPITER
Full text linkThis study aims to see the effect of IAA concentration and find the optimum IAA concentration on the growth of stem cuttings of Jupiter variety grapes. The parameters observed in the experiment include: Percentage of budding cuttings, Age of budding cuttings, Number of buds per cuttings 65 hst, Height or Length of shoots 65 hst, Number of leaves per cuttings 65 hst, and Number of live plants 90 hst. Based on the results of experimental data analysis and discussion, several conclusions can be drawn as follows: IAA concentration treatment has a significant effect on increasing the percentage of sprouted cuttings, shoot length 65 hst and number of live plants 90 hst, IAA-optimum concentration for the percentage of sprouted cuttings is 50 ppm IAA, 65 HST shoot length is 35 ppm IAA, and the number of live plants is 33.33 ppm IAA. Growth of grape stem cuttings was higher at concentration treatments lower than 100 ppm IAA concentrations. The effect of IAA concentration on the growth of grape stem cuttings effectively promotes growth lower than 100 ppm concentration, whereas treatment of higher concentrations markedly suppresses the growth of observed parameters. The optimum IAA concentration in more valid grape stem cuttings needs to be experimented with the effect of IAA concentrations below 100 ppm on the growth of Jupiter grape cuttings, because the regression equation obtained in this experiment is influenced by the level of treatment performed
Analisis Perbandingan Kinerja Algoritma Klasifikasi Data Menggunakan Metode K-NN, Naive Bayes, dan Decision Tree pada Dataset UCI Iris
Full text linkData classification is one of the important techniques in data mining and machine learning, which is widely used to group data into certain classes. This study aims to analyze and compare the performance of three classification algorithms, namely K-Nearest Neighbor (K-NN), Naive Bayes, and Decision Tree, in classifying Iris data from the UCI Machine Learning Repository. This dataset consists of 150 data with four feature attributes and three target classes. Testing was carried out using the cross-validation method with a k-fold approach of 10 folds. The results of the performance evaluation were measured using the metrics of accuracy, precision, recall, and f1-score. Based on the test results, the K-NN algorithm showed the highest accuracy rate of 96.67%, followed by Decision Tree at 95.33%, and Naive Bayes at 94.00%. These findings indicate that choosing the right classification algorithm can affect the success rate in the data classification process
Penghangat Cairan Infus Dengan Sistem Monitoring Berbasis IoT
Full text linkThis study develops an Internet of Things (IoT) based infusion fluid warmer with a remote monitoring system to prevent hypothermia in patients. This tool uses several main components in controlling the temperature of the infusion fluid through the blynk application or manually, the components are NodeMCU ESP8266, temperature and humidity sensors (DHT11 sensors), 5V DC relays, 220Volt AC digital thermostats, and incandescent lamps. The infusion fluid is warmed to a minimum temperature of 39°C to a maximum temperature of 40°C before being transfused to the patient, with a system that automatically maintains the temperature within that range through a warming cycle from the incandescent lamp. With the NodeMCU ESP8266 component and the blynk IoT application, this tool can be monitored and controlled remotely. This tool can also be accessed and controlled manually via a 220Volt AC digital thermostat and several components such as switches on the infusion fluid warmer. Testing shows that this tool works effectively, with accurate and responsive monitoring results in maintaining the temperature of the infusion fluid. In addition, the automatic system ensures that the fluid temperature remains optimal without the risk of overheating. With this IoT-based infusion warmer system, it can make it easier for the medical team to control and monitor the infusion fluid that is being warmed both from close range and from a distance. This tool provides an innovative solution in the care of hypothermia patients, especially in emergency situations or in hospital emergency rooms that have the potential to increase the efficiency of health services in a hospital
Perencanaan Strategis Sistem Informasi Menggunakan Metode Ward and Peppard : (Studi Kasus : Klinik Asy-Syifa Ngadirojo Wonogiri)
Full text linkAsy-Syifa Ngadirojo Wonogiri Clinic is a healthcare company that has been utilizing information technology in its services. However, the application of this technology has not been fully utilized. There are several parts of Asy-Syifa Ngadirojo Wonogiri Clinic that have not yet utilized information technology. Strategic planning of information systems using the Ward and Peppard method is an appropriate method for developing a strategic plan for the clinic. The Ward and Peppard method applied consist of SWOT analysis, Value Chain, and PEST Analysis. This research resulted in an information system strategic plan that aligns with the business strategy of Asy-Syifa Ngadirojo Wonogiri Clinic. This strategic plan is expected to enhance the quality of services and operations at the clinic in line with the clinic’s vision, mission, and objectives
Pengembangan Kerangka Kerja Berbasis Artificial Neural Network untuk Identifikasi Risiko Proyek Teknologi Informasi
Full text linkInformation technology (IT) project risk management is a challenge that requires an effective analytical approach. This research develops an Artificial Neural Network (ANN)-based framework to identify and classify risks in IT projects. The research involves several stages, from collecting historical project data, pre-processing the data, training the ANN model, to interpreting the risk prediction results. The ANN model is designed to handle static project features such as team size, budget, duration, and generate risk classifications based on patterns recognized in the data. eval_uation of the model showed adequate results with 66% accuracy, 48% precision, 51% recall, and 50% F1-score. Further analysis is needed to address class imbalance and optimize model hyperparameters to improve prediction performance. This research contributes to the application of ANN in IT project risk management, with the potential to be implemented in organizations facing similar challenge
Perancangan Monitoring Botol Infus Pasien Berbasis Arduino Uno dan Alarm
Full text linkDalam dunia kedokteran, infus merupakan salah satu alat medis yang sering dipakai untuk menyuplai cairan obat atau nutrisi langsung ke dalam tubuh pasien, baik di rumah sakit maupun klinik. Salah satu kendala yang sering muncul dalam penggunaan infus adalah pemantauan volume cairan dalam botol infus yang harus dilakukan secara rutin untuk mencegah kesalahan dalam pemberian cairan. Oleh karena itu, perlu adanya sistem yang dapat memantau infus secara otomatis, agar perawat dapat lebih berkonsentrasi pada perawatan pasien lainnya. Studi ini bertujuan untuk merancang serta mengimplementasikan sistem pemantauan botol infus pasien menggunakan Arduino Uno yang dilengkapi sensor inframerah guna mendeteksi tingkat cairan dalam botol infus secara langsung. Sistem ini dilengkapi dengan alarm yang berfungsi sebagai pemberitahuan peringatan ketika volume cairan dalam botol infus sudah mencapai batas minimum atau kosong. Sistem ini dikembangkan untuk memberikan kemudahan, harga yang terjangkau, dan keandalan dalam meningkatkan layanan perawatan pasien di rumah sakit. Desain ini memerlukan pemrograman Arduino Uno untuk mengendalikan sensor dan alarm berdasarkan informasi yang diterima dari sensor. Saat volume cairan dalam botol infus sudah habis, alarm akan berbunyi sebagai indikasi bahwa cairan infus telah habis, sehingga perawat dapat segera bertindak. Melalui sistem ini, diharapkan dapat memaksimalkan efisiensi waktu kerja perawat saat mengganti botol infus.
Kata kunci :Monitoring, Botol Infus, Arduino Uno, Sensor, Alarm
ANALISIS PENGARUH LEVERAGE, INTENSITAS ASET TETAP, INTENSITAS MODAL DAN PROFITABILITAS TERHADAP TARIF PAJAK EFEKTIF PADA PERUSAHAAN SEKTOR INDUSTRI BARANG KONSUMSI YANG TERDAFTAR DI BEI PERIODE 2021-2023
Full text linkThe purpose of this study is to obtain empirical evidence of the influence of Leverage, Fixed Asset Intensity, Capital Intensity, and Profitability on the Effective Tax Rate of Consumer Goods Industry Companies Listed on the Indonesia Stock Exchange (IDX) for the 2021-2023 period. This type of research is quantitative research. The data used in this study are secondary data. The population in this study includes all consumer goods industry companies listed on the IDX for the 2021-2023 period. The sample in this study was 22 companies that met the criteria. The sampling technique in this study used purposive sampling. Data analysis used to test the hypothesis was multiple regression with a significance level of 5% and using SPSS version 23. The results of this study indicate that partially the variables Leverage, Capital Intensity, and Profitability affect the Effective Tax Rate, while Fixed Asset Intensity does not affect the Effective Tax Rate. Leverage, Fixed Asset Intensity, Capital Intensity, and Profitability simultaneously affect the Effective Tax Rate
Pendugaan Erosi dan Sedimentasi Menggunakan Metode USLE pada DAS Nongsa Kota Batam
Full text linkPendugaan erosi dan sedimentasi sangat penting dalam pengelolaan Daerah Aliran Sungai (DAS). Penelitian ini bertujuan untuk menganalisis tingkat erosi dan sedimentasi di DAS Nongsa, Kota Batam, menggunakan metode Universal Soil Loss Equation (USLE). Hasil penelitian menunjukkan bahwa erosi potensial rata-rata sebesar 92.141,60 ton/ha/tahun, sementara erosi aktual rata-rata mencapai 17.853,54 ton/ha/tahun. Faktor utama yang memengaruhi tingkat erosi adalah curah hujan (R) yang bervariasi setiap tahun, sedangkan faktor topografi (LS) memiliki pengaruh lebih rendah karena DAS cenderung datar. Sedimentasi yang dihasilkan mencapai rata-rata 11.902,36 m³/tahun, yang berisiko menyebabkan pendangkalan badan air. Upaya konservasi tanah, seperti penanaman vegetasi penutup dan pengelolaan curah hujan, sangat penting untuk mengurangi risiko erosi dan sedimentasi. Penelitian ini diharapkan dapat menjadi acuan dalam pengelolaan DAS yang berkelanjutan
Model Pengembangan Agribisnis Bawang merah di Kabupaten Majalengka
Full text linkThis study aims to determine: (1) the net income of shallot farming/ha/MT, (2) the feasibility of shallot farming, and (3) the strategy for shallot farming. This study was conducted using purposive sampling. The sample was randomly selected using the Slovin formula with a sample size of 32 families. The primary and secondary data used in this study were primary and secondary data. The results showed that the average net income of shallot farming was Rp. 17,352,288.10/ha/MT. The feasibility of the farming business was indicated by the R/C value of 2.03, which means this farming business is worth continuing. Suggested development strategies include the use of farmer groups and the application of agricultural technology to increase productivity. This research is expected to provide a positive contribution to farmers in increasing income and the sustainability of shallot farming in the area