bluuebunny/crossref_metadata_2025 huggingface dataset:
HUBUNGAN ANTARA KOMPETENSI TUTOR DENGAN MOTIVASI BELAJAR WARGA BELAJAR PENDIDIKAN KESETARAAN PAKET C DI PKBM CERIA DESA SESELA KABUPATEN LOMBOK BARAT
Authors: Nurul Nurul Mutmainnah , Maskun Maskun , Herlina Herlina
Published: January 2023

Masalah dalam penelitian ini adalah : Apakah ada hubungan antara kompetensi tutor dengan motivasi belajar warga belajar pendidikan kesetaraan Paket C di PKBM Ceria Desa Sesela Kabupaten Lombok Barat Tahun 2017/2018. Sedangkan tujuan penelitian ini adalah untuk mengetahui hubungan antara kompetensi tutor dengan motivasi belajar warga belajar pendidikan kesetaraan Paket C. Penentuan subjek dalam penelitian ini berjumlah 46 orang yang terdiri dari tutor dan warga belajar Paket C. Metode pengumpulan data yang digunakan yaitu metode angket sebagai metode utama dan dokumentasi sebagai metode pelengkap. Teknik analisis data menggunakan analisis korelasi product moment. Hasil penelitian menunjukkan bahwa nilai r hitung sebesar 0,874 sedangkan r tabel dengan taraf signifikansi 5% untuk N=46 yaitu 0,291 (r hitung 0,874> r tabel 0,291) Hal ini berarti bahwa Ho ditolak sedangkan Ha diterima. Berdasarkan tabel interpretasi koefisien korelasi dapat diketahui bahwa korelasi hitung sebesar 0,874 termasuk kategori yang sangat kuat. Jadi kesimpulan yang diambil adalah terdapat hubungan yang sangat kuat antara kompetensi tutor dengan motivasi belajar peserta didik kesetaraan Paket C di PKBM Ceria tahun 2017/2018.Kata Kunci: Kompetensi tutor, Motivasi belajar
TRADISI BEJANGO DALAM PERKAWINAN MASYARAKAT SASAK DI DESA SENGKERANG KECAMATAN PRAYA TIMUR KABUPATEN LOMBOK TENGAH
Authors: Mustamiin Muhammad Zainal , Samsul Samsul Hadi
Published: January 2023

Permasalahan dalam penelitian ini adalah: (1) Bagaimanakah pelaksanaan tradisi Bejango. (2) Nilai-nilai apa saja yang terkandung dalam tradisi Bejango. Tujuan penelitian ini adalah (1) Untuk mengetahui pelaksanaan tradisi Bejango dan (2) Untuk mengetahui nilai-nilai yang terkandung pada tradisi bejango. Jenis penelitian ini adalah jenis penelitian kualitatif dengan metode diskriptif. Informan penelitian ini adalah tokoh agama, tokoh adat, tokoh pemuda dan masyarakat. Responden penelitian ini adalah kepala dusun dan kepala desa. Penentuan jumlah informan dan responden dilakukan dengan teknik purposive. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah wawancara, dan observasi. Data  dianalisis dengan  menggunakan tehnik analsis kualitatif dengan proses reduksi data, penyajian data, dan menarik kesimpulan. Hasil penelitian ini adalah (1) Tradisi bejango sebagai salah satu rangkaian pernikahan dalam adat sasak sekaligus peningalan leluhur/nenek moyang bangsa sasak dilaksanakan melalui tiga tahap yaitu, tahap persiapan, tahap pelaksanaan dan tahap penutup. Kegiatan pada tahap persiapan antara lain penentuan/menyepkati waktu bejango, mengundang tokoh masyarakat dan keluarga terdekat, musyawarah, menyiapkan perlengkapan dan menyiapkan jaja. Sedangkan kegiatan pada tahap pelaksanaan antara lain kegiatan dirumah pengantin laki-laki, kegiatan dijalan menuju rumah pegantin perempuan dan kegiatan dirumah pengantin perempuan. Sementara kegiatan pada tahap penutup antara lain pembacaan do’a dan salaman. (2) Nilai-nilai yang terkandung pada tradisi bejango adalah nilai sosial budaya yang meliputi nilai kebersamaan, dan nilai silaturrahmi yang ditandai dengan kedatanagan keluarga pengantin laki-laki beserta rombongannya bejango kerumah keluarga pengantin perempuan. Sedangkan nilai budaya yang terkandung dalam tradisi bejango yaitu bagaimana kita diajarkan untuk selalu menjaga dan melestarikan setiap kebudayaan yang menjadi warisan nenek moyang kita, Karena dalam tradisi tersebut mengandung nilai-nilai yang sangat mendalam dan merupakan adat dan tradsisi yang harus tetap diperhankan kuhususunya bagi masyrakat di Desa Sengkerang.Kata Kunci : Nilai, Perkawinan, Bejango, Sosial Budaya
MENINGKATKAN HASILBELAJAR SISWA PADA POKOK BAHASAN PECAHAN DENGAN PERAGA KERTAS LIPAT
Authors: Irfan Ahmad Zainul
Published: January 2023

Mengingat pentingnya pengembangan kognitif khususnya mengenal pecahan, maka seorang guru harus menggunakan alat peraga dalam setiap menyampaikan pembelajaran agar materi yang disampaikan dapat dipahami siswa. Tujuan penelitian ini adalah untuk meningkatkan Hasil siswa pada pelajaran matematika dalam mengenal pecahan melalui Mandiangin  Kecamatan Batukliang Utara, Lombok Tengah. Jenis penelitian ini adalah penelitian tindakan kelas. Penelitian ini dilakukan melalui dua siklus yaitu siklus I dan siklus II yang setiap siklus terdiri dari perencanaan, pelaksanaan, pengamatan dan refleksi. Penelitian minat siswa pada siklus I mencapai  peningkatan persentase yang sebelumnya hanya 35% menjadi 63% dan pada siklus II mencapai 78%. Berdasarkan hasil penelitian ini dapat disimpulkan bahwa penggunaan alat peraga dapat meningkatkan hasil belajar siswa pada poko bahasan pecahan dengan peraga kertas lipas pada siswa kelas IV MI NW Tanak Beak, Kab. Lombok TengahKata Kunci : alat peraga kertas lipa, hasil belajar, pecahan
Analisis proses berpikir siswa ditinjau dari wallas dalam menyelesaikan soal matematika pokok bahasan sistem persamaan linier dua variabel di kelas VIII MTs NW Lingsar
Authors: Muzaki Ahmad , Juliangkary Eliska , Stiaman Stiaman
Published: January 2023

Penelitian ini bertujuan untuk mendeskripsikan proses berpikir siswa ditinjau dari Wallas dalam menyelesaikan soal matematika dengan pokok bahasan Sistem Persamaan Linier Dua Variabel di kelas VIII MTs NW Lingsar Tahaun Pelajaran 2021/2022. Metode yang digunakan dalam penelitian ini adalah deskriptif dengan pendekatan kualitatif. Lokasi  penelitian ini adalah di MTs NW Lingsar. Subjek yang digunakan dalam penelitian ini adalah 6 orang siswa yang memiliki kategori tinggi, sedang dan rendah berdasarkan nilai akhir ulangan semester pada matappelajaran matematika.Instrumen yang digunakan dalam penelitian ini sebnayak 3 nomor soal essay pada mataeri Sistem Persamaan Linier Dua Variabel yang berbentuk soal cerita. Teknik pengumpulan data berupa memberikan tes, wawancara serta dokumentasi. Wawancara dilakukan untuk menggali informasi yang lebih mendalam terkait dengan hasil tes tertulis siswa sebelumnya. Adapun teknik analisis data yang digunakan dalam penelitian ini adalah menggunakan 3 tahap yaitu reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian ini menunjukan bahwa dari keseluruhan subjek baik kategori tinggi, sedang dan rendah pada proses persiapan, inkubasi, dan iluminasi siswa mampu memenuhi prose 3 indikator sedangkan di tahap proses verifikasi hanya S1 yang mampu memberikan proses yang benar, sedangkan subjek lain tidak bisa berdasarkan dari teori Wallas
Analisis Kemampuan Pemecahan Masalah Matematis Siswa Berdasarkan Teori Jhon Dewey Pasca Pandemi Covid 2019 Pada Materi Fungsi Kelas XI Ma Darul Aitam Jerowaru
Authors: Abdullah Hamdan , Nissa Ita Chairun , Sanapiah Sanapiah
Published: January 2023

Penelitian ini bertujuan untuk mendeskripsikan kemampuan pemecahan masalah mastematis siswa MA Darul Aitam berdasrkan teori John Dewey dalam menyelesaikan soal fungsi. Adapun jenis penelitian yang dinggunakan dalam penelitian ini adalah dpenelitian deskriptif kualitatif. Berdasarkan hasil penelitian dapat diperoleh hasil, bahwa kemampuan pemecahan masalah matematis siswa berada dalam kategori rendah. Didukung oleh hasil penelitian bahwa separuh dari jumlah siswa kelas XI MIPA kemampuan pemecahan masalahnya masih rendah dilihat dari hasil tes 28 siswa ditinjau dari teori John Dewey. Adapun siswa dengan kemampuan pemecahan masalah kategori sedang yang diperoleh 9 siswa. Sedangkan siswa dengan kemampuan pemecahan masalah dengan kategori tinggi terdapat 5 siswa. Adapun persentasenya bahwa siswa dengan kategori tinggi terdapat 17%, kategori sedang terdapat 33%, dan kategori rendah terdapat 50%. Jadi siswa kelas XI MIPA dengan berkemampuan rendah terdapat 14 siswa, sehingga dapat dikatakan bahwa kemampuan pemecahan masalah matematis siswa ditinjau berdasarkan teori John Dewey masih kurang baik. Hasil tes kemampuan pemecahan masalah matematis siswa ditemukan data bahwa siswa XI MIPA dalam menyelesaikan soal fungsi, terdapat siswa yang menguraikan jawaban sejalan dengan langkah pemecahan masalah menurut John Dewey dan terdapat pula siswa yang menguraikan jawaban tidak sejalan dengan langkah pemecahan masalah menurut John Dewey. Wawancara yang dilakukan kepada 6 siswa yang dipilih sebagai subjek penelitian, bertujuan untuk menemukan data yang intensif berdasarkan kemampuan pemecahan masalah. Untuk kelancaran proses wawancara, peneliti memilih siswa yang mudah berkomunikasi.
Hubungan efikasi diri terhadap motivasi belajar mahasiswa calon guru matematika
Authors: Permata Reny Amalia , Kurniawan Ade
Published: January 2023

Hubungan antar variabel secara lebih kompleks bisa dianalisis dengan metode Structural Equation Modeling (SEM). Pendekatan SEM dibedakan menjadi Covariance based Structural Equation Modeling (CB-SEM) dan Partial Least Square based Structural Equation Modeling (PLS-SEM). Pada PLS-SEM tidak mensyaratkan data berdistribusi normal multivariat dan dapat menggunakan sampel berukuran kecil. Adapun jenis penelitian ini merupakan penelitian kuantitatif dengan metode survei, dengan data diperoleh melalui penyebaran 49 kuisioner pada calon guru matematika, yakni mahasiswa Program Studi Pendidikan Matematika semester akhir yang telah melaksanakan PPL. Kuisioner disebar dengan google form dengan 23 pertanyaan berskala likert. Sebagai calon guru matematika, penting mempunyai kepercayaan terhadap kemampuan dirinya, baik Efikasi Diri matematika, Efikasi Diri pengajaran matematika dan Efikasi Diri pengelolaan kelas. Motivasi belajar diperlukan untuk meningkatkan prestasi mahasiswa. Oleh karena itu, untuk memodelkan hubungan Efikasi Diri matematika, Efikasi Diri pengajaran matematika maupun Efikasi Diri pengelolaan kelas terhadap motivasi belajar mahasiswa calon guru matematika digunakan analisis PLS-SEM. Dari hasil penelitian menunjukkan bahwa hubungan antara Efikasi Diri matematika, Efikasi Diri pengajaran matematika maupun Efikasi Diri pengelolaan kelas terhadap motivasi belajar berpengaruh secara positif dan signifikan, yakni sebesar 74.4%. Adupun faktor lainnya mempengaruhi sebesar 25.6%.
Efektifitas model pembelajaran think talk write dengan make a match terhadap peningkatan kemampuan komunikasi matematis siswa
Authors: Pujiarti Titi , Ziaulhaq Muhammad
Published: January 2023

Penelitian ini bertujuan untuk melihat perbandingan keefektifan model pembelajaran dengan menggunakan Think Talk Write (TTW) dan Make a Match terhadap peningkatan komunikasi matematis siswa. Populasi dalam penelitian ini adalah kelas 1 sampai kelas 6 SDN 20 Dompu. Berdasarkan pengambilan sampel dengan cara Purposive Sampling diperoleh sampel kelas V SDN 20 Dompu. Jumlah siswa dalam kelas V dibagi 2 kelas yaitu kelas ekperimen I dengan jumlah 20 dan kelas eksperimen II dengan jumlah 18. Data dianalisis dengan menggunakan uji ANAVA satu jalur. Hasil penelitian ini adalah model pembelajaran Think Talk Write efektif digunakan dengan komnunikasi matematis siswa menunjukan peningkatan dengan gain 0,063 lebih dari taraf signifikansi . Sedangkan model pembelajaram Make a Match menunjukan peningkatan dengan gain 0,095 maka efektif digunakan pada kelas V SDN 20 Dompu. Pengunaan Model Pembelajaran Make a Match lebih efektif dibandingkan dengan model pembelajaran Think Talk Write (TTW).
Automation of Two Ubuntu Servers with Ansible and Telegram as Notifications
Authors: Wibowo Gading Haryono , Widiasari Indrastanti Ratna
Published: January 2023

The purpose of this study was to determine the application of the server configuration automation system using Ansible tools on Ubuntu Server. This study describes a descriptive qualitative research that examines a problem based on what is observed through certain media. The stages of research carried out in designing Automation of Two Ubuntu Servers with Ansible and Telegram as Notifications. The results of this study display two execution results, namely the status of Success and Ended. Ended state is caused by unreacable or unconnected host. The suggestion for the further development of this research is that the application of the automation system can also be carried out on the Windows Server operating system, not only on the Ubuntu Server.
Product Sales Promotion Recommendation Strategy with Purchase Pattern Analysis FP-Growth Algorithm
Authors: Ismarmiaty Ismarmiaty , Rismayati Ria
Published: January 2023

The development of retail business technology is related to the need for management to meet customer demands by using technology. To help make effective sales strategic decisions, it is necessary to optimize the use of information technology on existing sales transaction data. The transaction database that has been stored as a company archive asset can be used for processing information that is useful in increasing product sales and promotions. This study aims to provide an analysis related to the product sales pattern of PT. X in Sumbawa Besar city. PT. X is a retail company that sells distributes daily consumer goods. The algorithm used is Frequent Pattern – Growth which is one of the algorithms in data mining used to find relationships in large data based on the number of occurrences of these data relationships. The Association Rule Mining method can be used in the retail business field, known as Market Basket Analysis. The application used for testing is Rapidminer 9.10. The research stages include: data collection, data preparation, FP-Growth algorithm implementation, result analysis and conclusions. The results of the tests carried out resulted in 819 rules with a total of 85 rules. The results of grouping strong rules based on the combination and number of products that produce information that is expected to be used as recommendations to promote products with discount, cross-selling, up-selling, product bundling and other types of promotions to increase product sales.
Disease Classification on Rice Leaves using DenseNet121, DenseNet169, DenseNet201
Authors: Saputra Adi Dwifana , Hindarto Djarot , Santoso Handri
Published: January 2023

Rice is a plant that can grow in the tropics. This plant can produce food that can meet the needs of the people of a country. This plant can grow well if it is cared for properly. If the planting has used good care, such as providing adequate water, adding good fertilizer, it can be ascertained that it will produce a lot of rice fruit after harvesting. This often causes concern if rice growers have given good care but often produce less rice fruit because rice plants are attacked by various diseases. This is what makes the problem, that rice plants are attacked by diseases. Before spraying diseases or pests, farmers should have an understanding of diseases in rice. This makes farmers not wrong in choosing drugs for farmers' rice. It is very vulnerable if farmers do not know about the rice disease. Therefore, it is necessary to observe what types of rice diseases attack rice plants. Observations are not enough just to take pictures with a camera. But it is necessary to carry out further analysis of rice diseases. The presence of information technology is now able to recognize any type. One of the machine learning technologies is able to detect rice diseases. One of these branches of machine learning is deep learning. By using a dataset that focuses on rice disease, the model generated from deep learning training is able to detect rice disease. The purpose of this research is to predict disease in rice leaves using deep learning, namely DenseNet. Training using DenseNet, namely DenseNet121, DenseNet169 and DenseNet201. Accuracy using DenseNet121 reached 91.67%, DenseNet169 reached 90%, and DenseNet201 reached 88.33%. The model training time takes 24 seconds.
Android-Based Herpes Disease Detection Application using Image Processing
Authors: Hakim Arif Rahman , Atmaja Dewi Marini Umi , Tugiman Tugiman , Basri Amat
Published: January 2023

Herpes is a viral infection that causes a skin disease that is widespread throughout the world. Herpes virus is a DNA virus transmitted via infected skin, saliva, and other body fluids. Herpes is characterized by chickenpox-like nodules in one area of the skin, swollen tissue surrounding the nodule, and blister formation on the nodule. Digital image processing that can detect herpes disease is anticipated to reduce physical contact between physicians and patients during skin disease diagnosis. This study's methodology includes collecting data on herpes disease, developing machine-learning models using the CNN algorithm, and deploying the model as an Android application. This study makes use of actual data collected via smartphones, Pocket Cameras, and internet-sourced photographs. The data include 12,645 images of skin affected by herpes and normal skin. Using 100 epochs and the Adadelta optimizer, the accuracy of this study is 85 percent.
The Comparison of Accuracy on Classification Climate Change Data with Logistic Regression
Authors: Adnan Arisman , Yolanda Anne Mudya , Erda Gustriza , Goldameir Noor Ell , Indra Zul
Published: January 2023

Machine learning methods can be used to generate climate change models. The goal of this study is to use logistic regression machine learning algorithms to classify data on greenhouse gas emissions. The data used is climate change data of several countries obtained from The World Bank, with total greenhouse gas emissions as the response variable and 61 other attributes as explanatory variables. This data is preprocessed using min-max normalization to handle unbalanced ranges, and then the data is split into 70% training data and 30% testing data. Based on the logistic regression modeling, it was discovered that the data from the min-max transformation resulted in better modeling than the data modeling without the transformation process. The accuracy, precision, sensitivity, and specificity of the transformation are 87.60%, 87.76%, 87.04%, and 88.14%, respectively
Gender Classification Based on Fingerprint Using Wavelet and Multilayer Perceptron
Authors: Suwarno Sri
Published: January 2023

Fingerprint-based gender classification is beneficial for speeding up the fingerprint identification of criminals, accident victims, and natural disaster victims that are difficult to be recognized based on their physical characteristics. The biggest obstacle to digitally classifying fingerprints is the image's poor quality. Some methods have been developed to improve image quality through various preprocessing, such as noise removal, background segmentation, thinning, and binarization. However, as these processes increase the classification time, some methods have been developed to classify fingerprints without preprocessing. One of them that has shown excellent success is CNN (Convolutional Neural Network). The method does not require preprocessing, but the computation time is very long and requires large amounts of training data. This study proposed a new method that did not need any preprocessing by using wavelet decomposition combined with the max-pooling process to generate features. Firstly,  the fingerprint image was decomposed with a Haar wavelet of 4 levels, and each level was followed by a max-pooling process with a 2´2 filter. After that, the resulting feature was used as training data for the Multilayer Perceptron (MLP) network. In this study, the training data was a dataset from NIST (National Institute of Standart and Technology), with 750 fingerprints consisting of male and female fingerprints, each as many as 375. The method could produce a total accuracy of 80.1%.
Android-Based Doctor E-Consultation Application Using Scrum
Authors: Andika Rendy , Zufria Ilka , Triase Triase
Published: January 2023

The standard service hospitals provide for their patients is a doctor's consultation. However, many patients need help accessing this service due to having to go to the hospital, queuing, and long waiting times. So that patients no longer have difficulty accessing consulting services, we need a system that can speed up consulting activities. The system development method used in Android-based e-consulting applications is the Scrum method. The system development process is somewhat accelerated using the Scrum methodology because all development activities require planning and timing for each sprint, starting with sprint planning, continuing through the daily scrum, sprint review, and sprint retrospective, which is repeated at each sprint to avoid delays in application development. By offering consultation services online, this system allows patients to access existing facilities and more efficiently supports the improvement of consulting services at existing hospitals, especially in Indonesia.
Implementation of CV Metha Developing Palembang Goods Ordering System
Authors: Fatmariani Fatmariani , Putri Meidyan Permata , Apriliani Marhama
Published: January 2023

Abstract

CV Metha Berkembang is one of the companies engaged in the production and sale of aluminum sills. The sales process on CV Metha Berkembang has not been computerized where orders are made with consumers coming directly to the company's location or being able to call the company's phone number. An uncomputerized ordering process is needed in a company, where the ordering system does not require consumers to come to the place. For this reason, an ordering information system is needed that can make it easier for CV Metha Berkembang to carry out ordering activities. The system development method used is the prototype method, while for modeling the system used, namely flowcharts, data flow diagrams and entity relationship diagrams and conducting functional testing with blackbox testing. The result of this final project is in the form of a Website Application that aims to help the ordering process. This application is useful for the admin department to be able to confirm orders and input sold stock data. With this application, it can help consumers, leaders, managers, and admins in processing order data, sales stock, and total stock of goods.
Utilizing Website-Based Speech-to-Text for Query Search
Authors: Ramadhan Rizki , Tarigan Masmur , Anwar Nizirwan , Juman Kundang Karsono , Abduh Mukhamad
Published: January 2023

Companies are increasingly using database-based data processing systems to store all information about their goods and products, so searching for queries on the system is one of the routine activities carried out by employees daily. The user must enter the keywords from the desired query in the search feature available on the system using the keyboard to perform the search process. It can only be accessed via a computer connected to the internet. Office However, sometimes there are several factors that make it difficult for employees to type in keywords, such as driving or having physical limitations, especially in the hands. This study aims to present an alternative to entering keywords not only through the keyboard but also by using voice by creating a query search system with the Speech-to-Text method so that users simply say the keywords from the desired data, and the system will be built based on a website so that they can be accessed from other devices such as smartphones, tablets, laptops or other devices. The method used in making this system is the System Development Life Cycle (SDCL) Prototype model and the system design modeling using the Unified Modeling Language (UML). This system will also be hosted on the Heroku platform, and in order to guarantee optimal operation of the system, a black box testing method is used, and the word accuracy test resulting from the Speech-to-Text conversion as well as the processing time required from the start of the system running to displaying the search results. It is hoped that with this system, employees will find it easier to enter keywords from the data they want through various devices quickly and with precise results.
Enterprise Architecture on Moral-based School Education Information Systems
Authors: Sopian Adi , Karlina Haura , Saefurridjal Achmad , Fatkhullah Faiz Karim
Published: January 2023

Indonesia has a diversity of cultures, hospitality, and people who have good ethics. Moral problems often occur and are commonplace, such as corruption, collusion, nepotism, promiscuity and drug abuse, sexual harassment, theft, and murder. The Indonesian nation experienced moral degradation. Moral education refers to the concept of Moral Behavior. Ethical behavior is grouped into three parts: Moral Attitudes, Moral Feelings, and Moral Thoughts. Moral education is very dependent on how to educate parents, association, and the community environment. Moral issues are not enough just to do an analysis of moral education, such as the perspective of religion, philosophy, psychology, and sociology. But also provide solutions so that moral improvement can occur. One of the solutions for improving morale is, of course, by providing education for moral improvement, such as establishing a school with the aim of improving morale. This is what drives the establishment of schools based on moral education, which use the perspectives of religion, philosophy, psychology and sociology. One of the proposals is moral-based education with the help of information technology. Information technology is capable of performing tasks such as controlling the behavior of students, teachers, and being able to control content that is not in line with the educational curriculum. The results of monitoring students can be reported online at any time. This research aims to provide moral improvement solutions by establishing a moral-based school, with the help of Enterprise Architecture as a Framework. This Enterprise Architecture output is an Information Technology Blueprint for system development in schools. The approach used is the Framework from The Open Group Architecture Framework.
Smart Farming On IoT-Based Aeroponik Systems
Authors: Simanungkalit Erwinsyah , Husna Mardhiatul , Tarigan Jenni Sari
Published: January 2023

The high population growth has an impact on all sectors, one of which has an impact on the agricultural sector as a result of the transfer of agricultural land. This diversion also has an impact on food supplies and ecosystem damage. To deal with these problems, it is necessary to seek the use of technology as a solution in the digitalization era. This research combines aeroponic plants with the help of Internet of Things (IoT) technology.This method has been used by many people to grow plants, especially short-lived vegetable crops such as lettuce, kale, spinach and other types. In planting using this method indoors it really requires special attention compared to planting outdoors. For example, the level of nutrient density, lighting, temperature and humidity in the room. But there are still some farmers or people who don't understand farming with an aeroponic system and how many benefits are felt. By using a smart system, the monitoring and supervision system for plants will get better, so thatfarmer or someone can get the result the more and the better the results by utilizing a piece of land that is not used or on the balcony of the house without having to bother renting other people's land. In order for the expected harvest to be abundant or even more, there are several conditions. Results obtained in this study is by monitoring aeroponic plants produce high quality vegetable crops compared to conventional systems that is.
Application of the FP-Growth Method to Determine Drug Sales Patterns
Authors: Anwar Badrul , Ambiyar Ambiyar , Fadhilah Fadhilah
Published: January 2023

Pharmacies are shops that sell and mix medicines based on doctors’ prescriptions and trade medical goods. Apart from being a business actor, the pharmacy also plays a role in providing health services that are easily accessible to the public. The problem that often occurs in pharmacies selling drugs is that they are less than optimal in service to consumers. The habit of consumers buying more than one type of drug makes pharmacy staff slow in providing the drug due to the inaccurate layout of the drug. The FP-Growth method in Data Mining is a method that can provide a solution in determining drug sales patterns at pharmacies. The FP-Growth method is a method used in determining the data set that occurs most frequently together (Frequent Itemset). The research objective was to determine drug sales patterns based on drug sales transaction data so that drug layouts could be determined. This research was conducted at the Pharmacy at the Pratama Sehati Husada Clinic in Medan with drug sales transaction data from November 2021 to December 2021. The results of applying the FP-Growth method with a value of ≥ 15% as a minimum support and a value of ≥ 15% as a minimum confidence, a pattern of drug sales in pairs. The application of Data Mining with the FP-Growth method has been implemented at the Pharmacy at the Pratama Sehati Husada Clinic with the desired goals with the final result in the form of a report on the results of determining drug sales patterns.
Analysis of Book Distribution Routes Using the Capacity Vehicle Routing Problem (CVRP) Method Using the Sweep Algorithm
Authors: Arifta Ega , Rakhmawati Fibri
Published: January 2023

Distribution is the process of distributing products from producers to consumers. The ease of consumers in obtaining the desired product is the top priority of every company. In the distribution system, the chosen route is the most important element in determining the distance to be traveled and the costs to be incurred. If the chosen route is optimal, then the distribution system becomes more effective and efficient.  Basedon the results of the author's observations, the delivery of goods in the company is still manual and irregular, where the goods are sent from the depot to the consumer and back to the depot so that it takes a lot of time and costs. One solution in solving the distribution problem is the Capacity Vehicle Routing Problem (CVRP).  The Sweep algorithm is the simplest clustering method to solve CVRP. In this study, the author used a sweep algorithm because this algorithm is one of the methods that can solve the problem of the distribution route of Quranic books.  Based onthe results of the study, researchers compared the distribution route usingthe sweep algorithm and the distributionroute of the previous company, obtained a percentage of total mileage savings of 35.35%, namely from the previous total company mileage of 135.2 Km to 87.4 Km by using the Sweep algorithm. This shows that the CVRP method using the sweep algorithm can provide optimal distance and save company expenses.
Combination of Ant Colony Tabu Search Algorithm with Firefly Tabu Search Algorithm (ACTS-FATS) in Solving the Traveling Salesman Problem (TSP)
Authors: Harahap Siti Sarah , Sihombing Poltak , Zarlis Muhammad
Published: January 2023

Traveling Salesman Problem (TSP) is a classic combinatorial optimization problem, one of the optimization problems that can be applied to various activities such as finding the shortest path. The optimization problem in TSP is the most widely discussed and has become the standard for testing computational algorithms. TSP is a good object to test optimization performance. With scientific developments in the field of informatics, many researchers have optimized the application of algorithms to solve the Traveling Salesman Problem (TSP). In this study, researchers used a combination of Ant Colony Tabu Search – Firefly Algorithm Tabu Search (ACTS-FATS). The combination is doneto overcome Premature Convergence (trapped local optimum) which is a shortcoming of the ant colony algorithm, get the best running time by looking at the process of each point movement with the ant colony and firefly methods. After testing, getting the best running time results of 27.79%, and getting an accuracy rate of 17%.
Application of Naïve Bayes Algorithm for Non-Cash Food Assistance Recipients in Kampar Regency
Authors: Anam M Khairul , Rahmiati Rahmiati , Paradila Dinda , Mardainis Mardainis , Machdalena Machdalena
Published: January 2023

Non- Non-Cash Food Assistance (BPNT) is a non-cash food social assistance from the government given to beneficiary families (KPM) of Rp. 200,000 per month which is given in the form of basic necessities by using an electronic card. The large number of residents who will be selected makes it difficult for village officials to make decisions on who is eligible or ineligible as recipients of non-cash food assistance every month. This research was conducted to design a decision support system for the eligibility of non-cash food assistance recipients by using the naïve bayes algorithm in order to help the Parit Baru Village apparatus every month in determining the eligibility of the next non-cash food assistance recipients, by perform Confusion Matrix calculations. From the results of the discussion carried out, it can be concluded that Naïve Bayes and the resulting rules had an accuracy rate of 95%, the Precision value was 94% and Recall was 100%. Therefore, the Naïve Bayes algorithm can be applied to the decision support system in determining the eligibility of recipients of non-cash food assistance.
CONVOLUTIONAL NEURAL NETWORK OPTIMIZATION FOR DEEP WEEDS
Authors: Syechu Weno , Nasution Benny Benyamin , Effendi M. Syahril
Published: January 2023

Precision agriculture is critical in ensuring food availability while maintaining environmental sustainability. Weeds are a serious threat to crops because they can inhibit plant growth and absorption of nutrients and infect nearby plants. Reduction in agricultural production can reach 20-80% if weeds are not handled quickly and precisely. In this study, four Convolutional neural network architectures were implemented to identify weeds based on images. The total number of images in the dataset used is 17,509 images grouped into nine classes which are divided into 80% for training data and 20% for test data. The training process uses a transfer learning scheme and operates several different optimization functions. The test results show that the best performance is achieved by the GoogleNet architecture using the stochastic gradient descent with momentum optimization function with a classification accuracy of 92.38%. Testing also shows that the ShuffleNet architecture classifies images faster than the other architectures used in this study, although its performance is slightly lower than GoogleNet.
Design Of Automatic Fire Detection and Extinguishing Devices Using Arduino
Authors: Nopriadi Nopriadi , Fajrin Alfannisa Annurrullah
Published: January 2023

A robot is a series of hardware and software in the form of a driving program. Robots are not only used in industry; in developed countries, robots are widely used to help with household chores. Many jobs that require a lot of energy are high-risk or dangerous, one of which is detecting and extinguishing fires. Fires can be avoided if the fire can be extinguished before it spreads. When the fire has spread, extinguishing it will be difficult and high-risk. Fires can cause huge losses of both property and lives that cannot be saved. The problem can be reduced if the source of the fire can be quickly found and extinguished. In this research, a fire extinguisher robot will be designed with an Arduino Mega 2560 and an infrared flame detector to detect the presence of fire. This robot is accompanied by an HC-SR04 ultrasonic sensor so that the robot can walk automatically without hitting obstacles because this robot aims to walk down hallways such as areas in the house or in any area that has a hallway for the robot's path. This research aims to implement Arduino for the control of the ultrasonic sensor and the movement of the fire extinguisher robot. The use of an Arduino micro-controller on the fire extinguisher robot is expected to make the robot move steadily and avoid obstacles in the hallway.
Sentiment Analysis of Flood Disaster Management in Jakarta on Twitter Using Support Vector Machines
Authors: Saddam M Amiruddin , Dewantara Erno Kurniawan , Solichin Achmad
Published: January 2023

Floods can cause negative impacts in various aspects, starting from economic, social, to health aspects. Even quoted from the site gis.bnpb.go.id, during 2022, there have been 1031 cases of flood disasters in Indonesia. Meanwhile in Jakarta, in 2022 there have been 14 cases of floods that caused hundreds of people to lose their homes. Several approaches can be taken to determine public opinion about flooding, one of which is text mining with an analysis of community sentiment. Sentiment analysis aims to determine public opinion regarding flood management in the capital city of Jakarta based on positive, neutral, and negative categories. To get the public sentiment, researchers carried out several stages, including the preprocessing stage. After obtaining public sentiment regarding flood management through the preprocessing stage, then classification is carried out based on public opinion so that it can be used by related parties for evaluation material in flood handling. In this study, the classification method used is the SVM method which is one of the supervised learning methods in machine learning. After classification, the next stage is the testing process using the K-Fold Cross Validation method. From the various sentiments obtained from Twitter data, it can be concluded that there are around 414 positive sentiments and 2464 negative sentiments related to flood handling in DKI Jakarta, while the results obtained from the test results show that the accuracy reaches 88.6%, the precision reaches 88.6% and recall reached 89.4%.
Data Mining Implementation For Product Transaction Patterns Using Apriori Method
Authors: Aji Galih Wasito , Devi Putri Aisyiyah Rakhma
Published: January 2023

In the era of information technology, entrepreneurs must have a good marketing strategy so that profits do not decrease. The decline in profits is happening at fast food restaurants for example fast food restaurants in Gresik city. This is due to the incompatibility of products sold with customers in Gresik city. Many promos given by marketing didn’t go well, resulting in sales targets not being achieved. To overcome this, good sales data analysis is needed to get products that match with type of customer. Using data mining with the Apriori algorithm is very appropriate for looking customer purchasing patterns. Association rules that are formed with support and confidence as benchmarks provide, a good reference regarding customer purchasing patterns. Research at fast food restaurant in Gresik was conducted by taking transaction data from September 2021 - September 2022 totaling 48,750 transactions with 134 transactions/day. The results of the research are customer buying patterns that are formed in 10 rules with highest percentage. The best rules that can be the best promos is: if customers buy Rice then buy Drinks with 11,19% support and 68,1% confidence. From the results of research that has been done, customer purchasing patterns have been obtained and can be used as a reference by marketing.
Object Oriented Programming of Application Admission of New High School Students
Authors: Meilani Yayuk Ike , Purnama Jaka
Published: January 2023

Abstract: This research was conducted at one of the high schools in Palembang. The admission of new students that are carried out still uses on-site registration so that prospective students must go to school to register. The purpose of implementing object oriented in new student admissions applications is to make the application lighter when using it because the objects are divided into classes. Using the application of oop in application development is useful to make it easier to make applications. The built application can be used for dynamic and flexible new student registration media that can register anywhere and anytime. The concept model used in the application is MVC (Model, View, Controller) which makes it easy for the application to handle errors and bugs due to the structure of the program code used. With the implementation of the oop concept in the program, it is hoped that it can help application development and make it easier to detect errors.
Fish size spectra from imaging sonar reveal variation in habitat use across nearshore coastal ecosystems
Authors: Olson JC , Lefcheck JS , Goodison MR , Lienesch A , Ogburn MB
Published: January 2023

Structured coastal habitats provide foraging opportunities and refuge from predation for fish species of varying size and function. However, comprehensive assessments of fish communities among ecosystems are challenging because of biases arising across traditional sampling methods that target subsets of the community in different habitats (e.g. traps, seines, trawls, or visual census). Here, we used dual-frequency identification sonar (DIDSON) to examine shallow, nearshore habitat use by fishes in multiple structured habitats (seagrass, coral reefs, oyster reefs, rocky reefs, mangroves, woody debris, and docks) relative to soft-sediment habitat across 4 study locations ranging from tropical to temperate: Bocas del Toro, Panama, and Florida, Maryland, and California, USA. We then examined the distribution of individual fish sizes using size-spectra analysis. For temperate docks (Maryland) and eelgrass beds (California), size-spectra slopes were less steep than for soft-sediment habitats, indicating that larger fish associated with these structured habitats. No differences in slopes were identified for (sub)tropical Florida or Panama, although spectra intercepts from docks were higher in each location relative to soft sediment, denoting higher total abundance. Our results suggest geographically stratified habitat use with a tendency towards comparatively greater importance of structure in determining fish size distribution at higher latitudes, and greater importance of structured habitat in governing total abundance at lower latitudes. This study also demonstrates the potential of imaging sonar as a new tool for revealing variation in fish communities among habitats at local to continental scales.
Bone toxicity and accelerated aging due to childhood cancer treatment
Authors:   , van Atteveld Jenneke Elizabeth
Published: January 2023

Due to the increased survival of children with cancer, research on acute and long-term side effects has become increasingly important to also improve the quality of life for survivors. Bone toxicity and frailty are side effects with considerable associated morbidity and mortality. Our studies have led to new insights into the opportunities to prevent bone toxicity during therapy, have led to improved identification of individuals at high risk of bone toxicity, as well as to newly discovered risk factors for low bone mineral density, fractures, frailty, and sarcopenia in childhood cancer survivors. These results will facilitate early diagnosis and treatment of high-risk individuals, which is an important step towards improving bone strength and preventing fractures and accelerated aging as a result of childhood cancer treatment.
Don't mind the gap
Authors:   , Gallo Gabriele
Published: January 2023

This thesis aims to describe the surgical treatment and the long-term sequelae of patients with long-gap esophageal atresia (LGEA) in the Netherlands. Until recently, surgical correction for LGEA in the Netherlands was performed with a Gastric Pull-Up (GPU) or a Jejunal Interposition(JI). However, there is still no consensus regarding the optimal surgical approach for LGEA.
More recently, a thoracoscopic external traction technique (TTT) followed by esophago- esophagostomy has been developed to bridge the long-gap. TTT might form a promising esophagus-preserving strategy for LGEA patients but limited data have been published. We introduce the first results our pilot study over feasibility, safety and efficiency of TTT.
Anti-TNF Treatment in Crohn’s Disease Complicated by Intra-abdominal Abscess
Authors: Humphry Nicola
Published: January 2023

Excess production of TNF-α leads to chronic inflammation and tissue damage in immune-mediated inflammatory diseases (IMID) such as Crohn’s Disease (CD), rheumatoid arthritis, and psoriasis. The introduction of anti-TNF agents revolutionised therapy for patients with IMIDs, and two anti-TNFs are currently approved for use in CD in Europe: infliximab and adalimumab. The chronic transmural inflammation associated with CD commonly leads to intestinal complications such as intra-abdominal abscesses, which present a challenge to a multidisciplinary medical team. While surgical management may ultimately be required in some patients, it is associated with a risk of morbidity and loss of function, particularly in a patient who requires immunosuppression to address their underlying CD. This mini review summarises the current evidence surrounding the use of anti-TNFs in CD complicated by intra-abdominal abscess, including current treatment guidelines, the use of anti-TNFs in combination with conservative (non-surgical) management, and the impact of anti-TNFs on post-operative complications and abscess recurrence.
Progressive Multiple Sclerosis: Time to Trial Something New?
Authors: Richards Darcy
Published: January 2023

PROGRESSIVE multiple sclerosis (MS) posed an important topic of discussion at the 38th European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) Congress, held in Amsterdam, the Netherlands, between 26th–28th October 2022. Throughout the engaging session on progressive MS, chaired by Kathy Smith, National Multiple Sclerosis Society, New York, USA, and Jan Meilof, University of Groningen, the Netherlands, key learning and focus points to consider for the future of clinical trials and treatments were summarised and spotlighted.
Nanomedicines for Increased Specificity and Therapeutic Efficacy of Rheumatoid Arthritis
Authors: Sarmento Bruno , Sarmento Marco
Published: January 2023

Rheumatoid arthritis (RA), the most frequent chronic inflammatory autoimmune disease, can lead to pain, bone and articular destruction, and limb deformity and impairment, with great impact on the activities of daily life. Several drug modifiers of the inflammatory process have been used in the treatment of the disease, all with specific patient targets and indications. However, the side effects are a frequent cause of undertreatment and non-adherence. To promote better compliance with the therapy, drug researchers have been trying to develop a new carrier of the immunomodulated molecules to increase their concentration in the target cell (mostly synovial), avoiding side effects for organs that are not targeted, as well as providing an easier manner of administration. The research results from animal models are promising and the clinical applications will show if these results are similarly impressive. This paper aims to explain the major applications of nanomedicine in RA treatment and diagnosis. The use of nanocarriers able to act as a diagnostic imaging agent and targeted drug delivery system, simultaneously, also known as nanotheranostics, can allow an improved efficacy and safety pharmacological profile, earlier detection, and thither monitoring of the disease.1 Commercial successes of RA active targeting of nanomedicine and products under development will be revised.