bluuebunny/crossref_metadata_2025 huggingface dataset:
Persepsi Peternak Terhadap Pemeliharaan Sapi Sonok di Madura
Authors: Ilmiah Na'riful , Widodo Slamet
Published: January 2023

Madura island is one area that has potential in the farm sector. Madura cattle are classified into three categories: beef cattle, sonok cattle, and karapan cattle. The high cost of raising sonok cattle is an obstacle for farmers with middle and lower-middle financial conditions. This can be considered to affect the perception of farmers about raising sonok cattle. The purpose of this study is to analyze the perception of farmers on the maintenance of sonok cattle and the factors that influence it. The research was conducted in Waru Barat Village, Waru District, Pamekasan Regency. The study was conducted from October to November 2021. The respondents in this study were 30 sonok cattle breeders, considering that the number was already considered representative. The snowball sampling technique determined the determination of respondents. The data were descriptively analyzed using a Likert scale before moving on to multiple linear regression analysis. The results of this study indicate that 90% of farmers have a productive age with a low level of education, as much as 94%, experience > 20 years as much as 57%, and income below the East Java Poverty Line Index (IGK). The perception of farmers is classified as moderate (70%). Farmers' ideas about raising sonok cattle are affected by their level of education and experience.
The Integration of Qur'an Value in Technical Efficiency of Onion Business: Data Envelopment Analysis (DEA) Approach
Authors: Hindarti Sri , Rianti Titis Surya Maha , Saputro Arief Joko
Published: January 2023

The high productivity of onions is determined by the efficiency of farmers in using farm inputs. This study attempts to forecast onion production trends and technical efficiency levels. This study was conducted in Tawangagro Village, Karangploso District, Malang, East Java. The research data used primary data from as many as 40 onion farmers—data analysis using the Variable Return to Scale (VRS) and input-oriented Data Envelopment Analysis technique. The findings demonstrated the technical inefficiency of onion farming operations, with an average technical efficiency value assuming a CRS of 0.78 and an average technical efficiency value taking a VRS of 0.951. Associated with the Qur'an in the context of agriculture, the verse emphasizes that farmers should use inputs not excessively so that it causes waste in terms of capital or the use of input factors for their farming. There are 15 farmers with an efficiency scale of onion farmers (SE) equal to one, meaning that 37.5% of farmers are already farming with a constant return to scale, and 62.5% of other farmers are farming with an increasing scale of returns Farmers that have not been productive should change how they use their inputs to increase their efficiency. Thus the productivity of onion farming can also increase. To increase productivity, farmers should have an effective consultation helps to improve TE.
Liderazgo y rezago subnacional en la política climática de México: análisis cualitativo comparado de sus instrumentos
Authors: Guzmán Romero Jorge Adrián
Published: January 2023

Este artículo examina los factores que colocan a las entidades federativas de México en posiciones de liderazgo o rezago con respecto a la Ley General de Cambio Climático. Con ese fin, la investigación revisa los instrumentos estatales de la política climática y realiza un análisis cualitativo comparado. Dentro del contexto de la gobernanza multinivel y del federalismo mexicano existe una brecha entre aquellas entidades exitosas que cuentan con instrumentos comunicacionales, organizacionales y procedimentales que buscan contribuir a controlar los efectos del cambio climático, frente a aquellas que tienen dificultades y bajo desempeño. La capacidad de un Estado para asumir un rol efectivo en la política climática depende de la colaboración y coordinación entre las instituciones, así como, en la asignación de las responsabilidades políticas.
Acción frente al cambio climático: gobernanza multinivel de los gobiernos subnacionales y locales en Ecuador
Authors: Lechón Sánchez Wilson
Published: January 2023

Este artículo analiza las evidencias, proyecciones, principales amenazas y riesgos del cambio climático a escala provincial en Ecuador. Se detalla el rol de los gobiernos autónomos descentralizados (GAD) provinciales en la gobernanza climática multinivel que, en tanto gobiernos intermedios, articulan el nivel local con el nacional para generar sinergias hacia una acción efectiva frente a estas amenazas. Los gobiernos locales y subnacionales interactúan, desarrollan acciones en el marco de sus competencias y crean instituciones territoriales para este tipo de gobernanza, pese a la centralización y limitaciones administrativas, técnicas, financieras y toma de decisiones desde lo nacional. Para este artículo se entrevistaron actores clave y se presentan los resultados de los talleres efectuados por el Ministerio del Ambiente (MAE), actual Ministerio de Ambiente, Agua y Transición Ecológica (Maate) en la construcción de políticas y estrategias climáticas entre 2017-2021.
Aplicaciones móviles como instrumentos de comunicación urbana para el cambio climático en Loja, Ecuador
Authors: Cuesta Palacios Elsa Katerine , Duque-Rengel Vanessa Karina
Published: January 2023

Esta investigación explora el nivel de aceptabilidad de ocho aplicaciones móviles sobre sostenibilidad y cambio climático, desde la perspectiva de líderes barriales, funcionarios del municipio y expertos en tecnologías de la ciudad de Loja (Ecuador). Estos actores respondieron preguntas de entrevistas semiestructuradas y los resultados fueron evaluados mediante una técnica que mide la intención de comportamiento respecto de los servicios móviles. Se concluye que el nivel de aceptabilidad en el uso de estas aplicaciones móviles es bajo y, además, que el desafío de la Administración pública local es crear un laboratorio ciudadano donde se debata y socialice las acciones de mitigación y adaptación del cambio climático mediante el uso de tecnologías.
Política pública y bienestar social: efectos del programa Barrio para Mejor Vivir en Cuenca-Ecuador, 2013-2017
Authors: Feijoo Criollo Edwin Paúl , Suin Guaraca Luis Heriberto
Published: January 2023

Este artículo examina el porcentaje de incremento de los valores del metro cuadrado del suelo y área de construcción del programa Barrio para Vivir Mejor (BVM) en las zonas intervenidas de la ciudad de Cuenca (2013-2017). El programa BMV busca mejorar las condiciones socio-económicas de las personas mediante el empleo de mano de obra en trabajos de infraestructura y servicios públicos en los barrios. Se aplicaron los métodos Diferencias en Diferencias, Propensity Score Matching y Doble Diferencia Emparejada, en una muestra de 27 720 predios, datos obtenidos de la Unidad Ejecutora de Proyectos (UEP) y de la Unidad de Avalúos y Catastros (UAC) del GAD Municipal de Cuenca. Los resultados revelan que, en promedio, los predios tuvieron un incremento del 7 % y 4 % del valor del metro cuadrado del suelo y del área construida, de forma respectiva. Pese a los efectos positivos en los predios residenciales, se concluye que la inversión en infraestructura pública no alcanzó el efecto derrame sobre la economía local.
Desconcentración del Estado central y configuración del poder en los territorios: cambio institucional en Ecuador, 2007-2017
Authors: Madrid Tamayo Andrea
Published: January 2023

Este artículo analiza el impulso brindado a la desconcentración durante el Gobierno de la Revolución Ciudadana en Ecuador en el período 2007-2017 y en el marco del cambio institucional que era uno de los principales elementos de la reforma del Estado. Ese gobierno desarrolló una estrategia de desconcentración de la Administración pública que planteó la posibilidad de acercar el Poder Ejecutivo a los territorios a nivel de servicios, recursos públicos, planificación y toma de decisiones. Esta investigación contiene un análisis cualitativo basado en entrevistas a exautoridades y exfuncionarios de la Secretaría Nacional de Planificación y Desarrollo (Senplades), entidad nacional encargada de llevar adelante las reformas y cambios, así como, documentos y herramientas técnicas elaboradas por la Senplades. Pese a los esfuerzos, las políticas públicas aplicadas no desconcentraron la toma de decisiones en el Gobierno central.
Los planes de desarrollo durante el Frente Nacional en Colombia: la vía al Llano, 1958-1974
Authors: Charry Morales Ariel
Published: January 2023

Este artículo determina la importancia que tuvo la vía al Llano (Bogotá-Villavicencio) en los planes de desarrollo y la inversión pública durante el Frente Nacional, pacto político de alternancia en el poder de los partidos Liberal y Conservador en Colombia entre 1958 y 1974. Se revisa el Plan de Desarrollo Económico y Social, Planes y Programas de Desarrollo y el Plan de Las Cuatro Estrategias. El trazado y reconstrucción de la vía subraya el debate entre el rol que adquirió Villavicencio como la ciudad más emblemática de los Llanos, la economía regional, el impacto de la migración interna, la ausencia de una planificación nacional y el fallido intento por una modernización vial. Se concluye que hubo rezago en la planificación de la vía al Llano y escaso interés de lo regional por parte de los Gobiernos del Frente Nacional.
Mecanismos de protección frente a las agresiones a la libertad de expresión a periodistas en México, 2000-2022
Authors: Pons Carrera María Neus , Berg-Rodríguez Alexis
Published: January 2023

Este artículo sostiene que la aplicación de las políticas y mecanismos de protección estatal no han sido suficientes para detener la impunidad, agresiones y asesinatos de periodistas en México entre 2000 y 2022. Se revisan algunos informes publicados por la organización Article 19 México y Centroamérica, Reporteros sin Fronteras, la Comisión Interamericana de Derechos Humanos y artículos de prensa; se realizan entrevistas semiestructuradas a actores claves. La poca efectividad de estas políticas se debe, en parte, por la confluencia de agentes estatales (fuerzas armadas, funcionarios públicos) y no estatales (partidos políticos, crimen organizado) que ejercen violencia y agresión sobre periodistas, lo cual profundiza la impunidad y poca efectividad de las políticas. Mecanismos como el proyecto “De la mano”, auspiciado por el Parlamento Europeo, son una posibilidad para ejercer presión internacional de manera conjunta con la sociedad civil, cuyos alcances no son cuantificables al momento.
Las políticas climáticas en América Latina: avances y tareas pendientes
Authors: Ryan Daniel
Published: January 2023

En esta entrevista, el doctor Daniel Ryan sintetiza algunos de los hallazgos más importantes de sus investigaciones relacionadas con la política y las políticas públicas climáticas desarrolladas durante más de una década. La entrevista cubre las relaciones entre la emergencia de la agenda climática global y sus repercusiones en América Latina, los avances en la producción y uso de conocimiento técnico-científico en la toma de decisiones, así como las iniciativas impulsadas en varios niveles de gobierno, sectores y grupos de la sociedad. Por último, plantea temas de investigación de interés para jóvenes investigadores.
Crisis climática: de los compromisos a la acción
Authors: Mejía Carola
Published: January 2023

En el contexto de la crisis múltiple y la guerra entre Rusia y Ucrania se ha dejado de lado la priorización de la agenda climática tanto nacional como internacional. Si bien, los países avanzaron en la formulación de las Contribuciones Nacionalmente Determinadas (NDC, por sus siglas en inglés) estamos tarde, considerando el corto plazo de menos de tres años que plantea la comunidad científica para hacer una rápida transición hacia nuevos modelos de desarrollo. En un contexto pospandemia tampoco se ha aprovechado la oportunidad de acelerar la transición hacia modelos más verdes, sostenibles y justos. La acción por el clima requiere alta voluntad política y el compromiso de diversos sectores. También es importante una mirada latinoamericana que contribuya con propuestas, debates e insumos técnicos, basados en evidencia científica, pero también, con saberes ancestrales. Estos, y otros temas relacionados con los mecanismos de incidencia, como las campañas, pronunciamientos, redes sociales y trabajo directo con los tomadores de decisión, hacen parte de la siguiente entrevista realizada por las personas coordinadoras de este número de Estado & comunes a Carola Mejía.
Prediction of Barrier Option Price Based on Antithetic Monte Carlo and Machine Learning Methods
Authors: Li Ying , Yan Keyue
Published: January 2023

Option pricing has become a popular topic in the fields of finance and mathematics with the rapid development of stock and option markets. Now, more and more academics, financial companies and investors are attracted to study and do research about it. The theory of option pricing can also be used to price financial instruments with the similar structure to options and contribute to risk control and management. The Black-Scholes model is the basic and famous method applied for different options pricing with modifications and adjustments, and the results can be solved by some traditional numerical methods such as the binomial model, finite difference method, Monte Carlo method and so on. Machine learning has risen recently and begins to replace some complex work in traditional methods with the evolution of computers and computing power. How to use machine learning methods to predict the option price is a problem worthy to be solved. In this research, using the antithetic Monte Carlo method generates the prices of the up-and-out barrier options without rebate based on the Black-Scholes model. The generated dataset is divided into a training set and a test set for support vector regression, random forest, adaptive boosting and artificial neural networks. We compare the fitting and performance of all machine learning methods and find that random forest and artificial neural network methods fit better than others with fewer errors in predictions.
Ethyl acetate extract of Clausena execavatapromotes growth inhibition of Burkitt’s lymphoma cell line via apoptotic activities
Authors:   University of Baghdad, Albaayit Shaymaa Fadhel Abbas
Published: January 2023

Clausena excavatais a famous folklore medicinal plant in Asian region that is being used for the treatment of different disorders. This study investigated the cytotoxic effects of leaf extracts via MTT assay, as well as the in vitroapoptotic activities of the ethyl acetate C. excavataleaf extract (EACE) on human Burkitt’s lymphoma, Raji, cell line using annexin-V-FITC/propidium iodide flow cytometric assays. Pro-apoptotic (BAX) and anti-apoptotic (BCL-2, c-MYC) gene expressions were determined via real-time quantitative PCR. Phytochemical screening was done by Gas chromatography-mass spectrometry (GC-MS). EACE has the lowest IC50(19.3 ± 0.35 μg/mL) among extracts. EACE-treated Raji cells after 48 h underwent apoptosis as evident by loss of cell viability and increase in the percentage of early and late apoptotic cells. The results also showed EACE mediated decreased in the BCL-2 and c-MYC gene expressions and increased in the BAX gene. C. excavatais a potential treatment for Burkitt lymphomathrough activation of apoptosis
Biological activity of Annona muricata and A. cherimola seed oils
Authors:   Universidad de Nariño, España Orfa A , Ortiz Andres F ,   Universidad de Nariño, Eraso Soany ,   Universidad de Nariño, Hurtado Andres M ,   Universidad de Nariño, Mena Jaqueline ,   Universidad de Nariño
Published: January 2023

Vegetable extracts have become important raw materials for food, pharmaceutical and cosmetic industries because of their biological potential. The objective of this study was toassess the biological activity of vegetable oils (VOs) extracted from Annona muricata and A. cherimola. Antibacterial activity was determined by plaque microdilution. The assessment of hemolytic inhibition and morphological alterations was performed in erythrocyte cultures by spectrophotometry and microscopy, respectively. Neutrophils were used to analyze both cytotoxicity by the trypan blue exclusion method and the effect on gelatinase granule release (MMP9) via zymography. Whereas VOs showed a mild antibacterial activity (900 μL/mL) on five ATCC bacterial strains, they had no effect on multi-resistant bacteria. In addition, VOs inhibited hydrogen peroxide induced hemolysis and did not cause erythrocyte cell abnormalities. Cytotoxicity was not detected in neutrophils and VOs were able to stimulate MMP9 release. These results support their potential use by the food and cosmetic industries due to their antioxidant, non-cytotoxic, and slight antibacterial capacities
PENGEMBANGAN DAN IMPLEMENTASI METODE FUZZY MAMDANI UNTUK PENILAIAN KINERJA PENELITIAN DOSEN
Authors: Alwendi Al Wendi , Samosir Khairunnisa
Published: January 2023

Today, information technology, especially soft computing technology is growing rapidly. One of the soft computing technologies that has been widely developed is fuzzy logic. This is because it can be used to measure various phenomena that are unclear, obscured or obscured. One of the research themes that uses fuzzy logic is the assessment system in research. Research [Graha Nusantara Padangsidimpuan Data Simlitabmas Still in the Leadership category for promotion to the Madya Faculty of UGN Padangsidimpuan is challenged to develop, dedicate and apply the knowledge needed in research. The goal according to this research is to apply fuzzy reasoning with the Mamdani method for lecturer research activities at the University of Graha Nusantara Padangsidimpuan. This research uses Mamdani fuzzy logic. The Mamdani fuzzy method is a way to convert the input space to the output space.
IMPLEMENTASI ALGORITMA VIGENERE CIPHER UNTUK ENKRIPSI DAN DEKRIPSI PADA PERESEPAN DATA OBAT DI PUSKESMAS MERTOYUDAN 1 KABUPATEN MAGELANG
Authors: Astuti Dwi , Sundari Cisilia
Published: January 2023

Puskesmas is a place to provide health and medical services for the community. Every patient who seeks treatment at a doctor at the health center always gets a message containing a prescription for the drug. The problem that often occurs is the large number of drug prescribing processes that occur without being based on a system, can cause errors in drug prescribing and can be fatal for patients. The purpose of this research is to make an electronic encrypted prescription application using the Vigener Cipher method. The implementation of this system uses the Vigener Cipher Algorithm in securing prescription drug data. The Vigener Cipher algorithm can perform encryption and decryption processes. System Design with Context Diagram. The result of this study is that the application of drug prescribing data using the Vigener Cipher Algorithm has been able to secure drug prescribing properly. In the PARASETAMOL Drug Data Test, key: CXWDFHHJYVW, result: RXNDXLAJKJH. Functional Testing Results obtained results that are accepted in all test scenarios and Validity Test Results obtained 100% valid results.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KINERJA PERAWAT TERBAIK DI KLINIK AMANAH DENGAN METODE SIMPLE ADDITIVE WEIGHTING
Authors: Fatkhurrochman Fatkhurrochman , Muin Muhammad Abdul
Published: January 2023

The Department of Health is a health institution that is engaged in providing health services for the community. Amanah Clinic is one of the maternity clinics in Magelang City that serves various types of diseases and complaints from patients and the community. Medical personnel are the spearhead in improving clinical services. In developing superior medical personnel, Amana Clinic makes a selection program for the best nurses based on criteria such as: performance, discipline, education level and attitude. The old system that is running still has weaknesses because it is only based on 1 criterion (number of attendance) and ignores other criteria. The system causes injustice in the selection process. The purpose of this study was to design a decision support system for selecting the best nurse using the Simple Additive Weighting method. This method was chosen because it can perform a ranking process based on criteria and weights and is able to determine the best alternative. System design with Context Diagram, HIPO, DAD and ERD. Application results are nurse reports, overall selection and selection of the best nurses. The results of the functionality test are proven to be successful and the Validity Test has been proven to be 100% valid.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN OBYEK WISATA TERBAIK DI KABUPATEN SRAGEN DENGAN METODE WEIGHTED PRODUCT
Authors: Muqorobin Muqorobin , Ma'ruf M Hasan
Published: January 2023

Sragen Regency Tourism Object is one of the places for recreation with family. Sragen Regency has many beautiful and diverse tourist attractions, making it difficult for people to determine the best tourist attraction. The criteria that are in great demand by the public are: Location, Facilities, Tickets and Security. This requires the Head of the Tourism Office to be able to make decisions in determining the best tourism objects. The purpose of this research is to make a Decision Support System Application for the Selection of the Best Tourist Attractions in Sragen Regency by using the Weighted Product Algorithm Method. This method was chosen because it has the ability to rank to determine the best alternative based on all criteria and weights. Data was collected by means of interviews, observations and literature studies. System design is made with Context Diagram, HIPO, DAD and ERD. This application was developed with PHP language and MySQL database. The results of the tests carried out on the functionality test were good and the validity test results were 100% valid. The implementation results obtained by the best tour is Ndayu Park with the highest score of 0.0852.
IMPLEMENTASI MACHINE LEARNING MENGGUNAKAN METODE CASE BASED REASONING UNTUK DIAGNOSA GIZI BURUK PADA ANAK
Authors: Yuliana Yuliana , Firgia Listra , Wati Vera
Published: January 2023

Malnutrition is a problem experienced by children in Indonesia, one of which is stunting. The role of Community Health Center is needed in overcoming malnutrition rates in toddlers. This research was conducted by implementing machine learning using the case-based reasoning method to diagnose malnutrition in children. This research aims to reduce stunting experienced by the community around Bengkayang Regency. The purpose of this study was to determine the diagnosis of malnutrition in children at the Bengkayang Health Center. The output of this study is to be able to diagnose malnutrition in children using the case-based reasoning method and the system designed is used as a reference for addressing child development. The variables used in implementing the system are name, age, gender, height, and weight. Then the learning machine looks for the closest case to see the value closest to the stunting problem, so the result is the same. In solving cases by calculating the similarity value, it was found that the new case had similarities with case 04 which was diagnosed with Scurvy Vitamin Deficiency with a similarity value of 0.545454545 or 54.54%.
PERANCANGAN APLIKASI TRANSPORTASI ONLINE DI KOTA KETAPANG MENGGUNAKAN PENDEKATAN USER CENTERED DESIGN
Authors: Kevin Kevin , Pakereng Magdalena Ariance Ineke
Published: January 2023

Online transportation application has been one of the most essential utility in this modern life. This application is very important for the majority of the student and also a healthy percentage of the workers in Indonesia. This is caused by several aspects such as unavailability of personal vehicle and the convenience of online food delivery. Online transportation application has been around for the past 12 years in big cities in Indonesia, however this service is not available in one of the city in West Kalimantan named Ketapang and that is causing a very healthy percentage of the people that are living in Ketapang problems because of the distance of some places they go to. Ketapang is slowly improving from its past years with the appearance of various famous companies and school. Because of the things mentioned before, the demand for an online transportation application has been increasing and it will be a big help if there is an application that gives those services with a suitable user interface and user experience with most of the people in Ketapang. This research uses the User-centered Design (UCD) method that prioritizes in giving the best experience the user can have while using the application. Data from this research are taken from interviews from various participants who mostly are students and workers in Ketapang. By testing the User Interface and User Experience, the value of the design 4,56 which is higher than the first design which was 4,48 which gives falls in the “Good” category based on the scoreboard which means the design is suitable for a good use.
PENCARIAN RUTE TERPENDEK PADA APLIKASI OJEK SAMPAH DENGAN MENGGUNAKAN ALGORITMA DJIKSTRA
Authors: Suryani Luluk , Murniyasih Ery
Published: January 2023

Currently there is a transportation service at the Sorong Raya Garbage Bank. Customers for transport services are increasing day by day and this makes it difficult for drivers because they have to determine short routes every day. If the driver does not know the exact address and determines the shortest route, this will result in inefficient use of time and wasted fuel. This can also have an impact on the services provided to customers so they are not optimal because they are late or not on time. Based on the existing problems, a solution is given in the form of an application that aims to determine the shortest or closest route between each address that will be visited by the garbage collection car, this is to support the effectiveness of waste collection by providing information to the driver in the form of the shortest path to be traversed. Applications are made using the Dijkstra algorithm approach for mobile applications on the Android platform. The application is equipped with a description of the trip, estimated travel time, and alternative routes to each address. The result of the application made is that the application can implement the Djikstra algorithm which can be applied and succeeds in determining the shortest distance for the process of transporting garbage to residents' homes based on the initial address input from the driver to the pick-up destination address.
RANCANG BANGUN SISTEM INFORMASI POINT OF SALE MULTI OUTLET DENGAN MENGGUNAKAN FRAMEWORK LARAVEL DI KOPERASI ITSNU PEKALONGAN
Authors: Naufal Abdul Razak , Nawangnugraeni Devi Astri , Suseno Akrim Teguh
Published: January 2023

Digitalization has been shaped the economy and society, one of the areas most affected by digitalization is the retail sector. Point Of Sale (POS) is a sales-oriented activity and a system that helps process transactions. The Cooperative store at the Technology and Science Institute of Nahdlatul Ulama (ITSNU) Pekalongan still records manually, so there is a risk of fraud and data loss. This POS system can be helping all transactions to manage stores to be fast, accurate and safe, because all of data will be saved to the cloud directly, so cooperative managers can be controlling several cooperatives directly, anytime and anywhere. The method used in this POS system is the Waterfall method, which is a method used to develop software sequentially like a waterfall through several stages are data collection, analysis, design, development, testing and implementation. Based on the black box testing that the researchers have done, all the features on this multi-outlet POS system have functioned properly according to the needs of cooperatives at ITSNU Pekalongan.
DESAIN ARSITEKTUR DATA WAREHOUSE PADA DATA TRANSAKSI PENJUALAN ROTTE BAKERY
Authors: Sari Devi Julisca , Gusti Siska Kurnia , Haerani Elin , Syafria Fadhilah
Published: January 2023

The increasingly fierce competition between competitors requires companies to be able to compete and maintain their existence in order to continue to grow, for that utilizing information technology such as data warehouses will play a large enough role, because optimal data processing will produce quality information in supporting companies to take appropriate policies. as well as increasing the productivity and effectiveness of the company's performance. The application of the data warehouse can be started by making an architectural design that will be made, for that the researcher aims to provide recommendations for the design of the data warehouse architecture on the sales transaction data of Rotte Bakery by applying the Nine Steps Kimball method. The final result of this research is the application of the Nine Steps Kimball method and the integration of transaction data through the ETL process (extract, transform, load) successfully produces data stored in the data warehouse only the data that is needed and has been uninformed, so that data processing only takes a long time. shorter time in supporting appropriate policy making and achieving business strategies in order to be able to keep pace with the business competition
PENGEBANGAN MEDIA INTERAKTIF BERORIENTASI HOTS (HIGHER ORDER THINGKING SKILLS) PADA MATAPELAJARAN BILOGI BERBASIS ANDROID
Authors: Hutabri Ellbert , Handoko Koko , Fajrin Alfannisa Annurrallah , Fauzi Rahmad
Published: January 2023

Biology is a field of study that focuses on the study of life and the process of life itself. Biology is a subject that must be studied in high school, especially the science department. In this subject, students learn about living things in the context of science, ecosystem, technology, and society so that biological concepts can be implemented in social life. Matters related to the environment and technology such as climate issues, environmental destruction and reduction of germplasm or biodiversity, disease distribution, and bioterrorism are also related to biology. This subject requires student activity and critical development, but not all teachers are able to implement high-level thinking learning known as HOTS (Higher Order Thinking Skills) in the teaching and learning process. This can be seen from the teaching materials provided by educators to students and the evaluation of learning used is still in the realm of knowledge (C1), understanding (C2) and application (C3) where exam questions are still included in the LOTS question type (lower). -Order Thinking Skill) is a type of question that only tests the ability of students in the lowest realm of Bloom's taxonomy. So we need an interactive learning media that can trigger students to be active and think at a high level.
DATA MINING UNTUK KLASIFIKASI STATUS PANDEMI COVID 19
Authors: Simanjuntak Pastima , Suharyanto Cosmas Eko , Sitohang Sunarsan , Handoko Koko
Published: January 2023

We all know that since the number of Covid-19 cases has increased in Indonesia, many problems have arisen in society. Covid-19 has crippled the socio-economic conditions of all Indonesian people. As a result of the Covid-19 problem, the Indonesian government must establish policies such as issuing rules for social distancing, and also calling for Work From Home for those who work as employees, imposing restrictions on each region, building hospitals to handle Covid-19, and others. With the existence of government policy decisions will have an impact on all people, both the community. Socio-economic problems arise and have a direct impact on society. The purpose of this study is to prediction the covid 19 pandemic. This study applies data mining techniques with the naïve Bayes algorithm with software implementation using Tanagra software. The results of this study can be used to see the clustering pattern of the Covid 19 pandemic, and it can be seen from the results of the probabilities of the Covid data so far for the spread of Covid 19 which has 90.7% correct predictions and 9.3% wrong predictions.
IMPLEMENTASI SISTEM PAKAR UNTUK DETEKSI DINI COVID VARIAN OMICRON MENGGUNAKAN ANALISIS KORELASI PEARSON (r)
Authors: P Noviyanti , Arianto Fra Siskus Dian , Vuspitasari Benedhikta Kikky
Published: January 2023

Corona Virus Disease, which is often known as Covid-19, is a virus whose transmission is very fast and dangerous. Covid-19 then mutated into Covid Omicron. According to WHO, the Covid Omicron variant has been detected in 57 countries (15 December 2021). The emergence of a new variant of Covid, namely Covid Omicron, is a new threat to the world because the spread of this variant of Covid is quite fast compared to other variants. The purpose of conducting this research is to test whether an Expert System using Pearson Correlation Analysis (r) can detect early Covid Omicron. Early detection of Covid Omicron is done by transferring knowledge related to Covid Omicron into a computer, then calculating the correlation (????) between patient data and information data from experts, then analyzing it by determining t_count, comparing t_count with t_table, and concluding the hypothesis from Pearson's correlation analysis ( ) that has been done. Based on the research that has been done, the Covid-19 early detection system using Pearson correlation analysis (r) can provide a link between input variables (x) and output variables (y) with proof through experiments between manual analyzes and system analysis that can provide the same good output.
IMPLEMENTASI TEKNOLOGI VIRTUAL DALAM VISUALISASI PENGENALAN KAMPUS MENGGUNAKAN WEBVR
Authors: Yuliana Yuliana , Sugianto Helena Anggraeni (Reni) Tjondro
Published: January 2023

One of the developments from this information is Virtual Reality (VR), a Virtual Web Technology that allows users to interact through an environment on the internet that has been simulated by a computer so that users feel they are in a virtual world. VR technology is becoming the top choice because of how it conveys messages to the environment to attract users.The purpose of this research is to be able to produce virtual web technology-based campus introduction visualizations with website results/output for campus buildings as well as immersive spatial displays and dynamic information. The research began by carrying out the 3D modeling stage using the help of Photoshop, marzipano, 3DVista tools (photos, sketches and 3D objects on one of the campus buildings. The campus building used is the Rectorate Building. Lecture building, Auditorium building. Then the system development is carried out by building data and the room is stored in a database and coded using the PHP programming language. The results of process observations during design, analysis and implementation produce a visualization WebVR Application by displaying information in the form of object, image and video formats. Virtual web technology can provide information related to the environment, campus buildings.
PENERAPAN FORECASTING METHODS UNTUK PENJUALAN PRODUK UMKM DENGAN ALGORITMA K-NEAREST NEIGHBOR
Authors: Elisa Erlin , Tukino Tukino , Handoko Koko
Published: January 2023

This research will be carried out on MSMEs in the city of Batam, precisely in the Cipta Asri housing phase II block fir, the analysis is an experiment on sales data so far on MSMEs engaged in the culinary field with the aim of predicting the level of sales in the future. This study will utilize the Forecasting method with the K-Nearest Neighbor datamining algorithm technique to forecast product sales and to test the suitability of the researcher's accuracy using rapidminer software. The results obtained are based on the analysis carried out from 26 training data, there are 20 data that have been classified correctly and 6 data that have not been classified correctly, namely the percentage for Correctly Classified Instances is 77.00% while the percentage for Incorrectly Classified Instances is 23.00%. In conclusion, the results of the analysis can be effective in determining the results of future sales targets and will affect the next level of sales.
MARKET BASED ANALYSIS SEBAGAI PENINGKATAN PENJUALAN PRODUK MENGGUNAKAN ALGORITMA K-MEDOIDS DAN FP-GROWTH
Authors: Suseno Akrim Teguh , Naufal Abdul Razak , Amin Mohammad Al
Published: January 2023

The COVID-19 pandemic has greatly affected the economy in Indonesia. The emphasis on the development of covid-19 through Enforcement of Restrictions on Community Activities has an impact on the Micro, Small and Medium Enterprises (MSME) sector, including product sales at the Distro Sextors. Therefore, a strategy is needed to increase sales, one of which is through data mining techniques with market based analysis. Data mining is one of the processes of Knowledge Discovery in Database (KDD) that uses scientific methods in its application. The data used in this study were 6531 sales transactions. The data mining algorithm used in this research is K-Medoids for grouping which aims to find the best cluster. The cluster experiments used are K-3, K-4, K-5, K-6 and K-7 then cluster testing is carried out using the Davies Bouldien Index (DBI) method and the results are cluster K-3 is the best cluster because it has a homogeneous value lowest. Then the association rule uses the FP-Growth algorithm and the minimum support value used is 6% to 7% while the minimum confidence value is 60%. The results of the association rule analysis are product recommendations that can be used as promotions to increase sales in Distro Sextors. The products are SE128, SE131, SE130, SE431, SE792, dan SE804.
KLASIFIKASI PENYAKIT PARU-PARU DENGAN MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER
Authors: Haffandi Muhammad Yusril , Haerani Elin , Syafria Fadhilah , Oktavia Lola
Published: January 2023

The lungs are one of the organs of the human body that are very important in the process of respiration. There are several types of lung diseases, including Asthma, Bronchitis, Dyspnea, Pneumonia, COPD, and Tuberculosis. There are difficulties in the classification process, because the symptoms shown by sufferers have similarities between diseases. The purpose of this research is to classify lung disease using the Naive Bayes Classifier method. The choice of this method is because it only requires a small amount of training data to determine the estimated parameters needed in the classification process. This research was conducted at the Regional General Hospital Major General HA Thalib City of Sungai Full from August 3 2022 to September 3 2022. The data taken was in the form of medical records of lung disease patients from July to August as many as 134 patient data containing 19 symptoms disease and 6 disease diagnoses. From the test results using the Rapidminer application and data separation in the form of 34 testing data and 100 training data with a data comparison of 7:3, an accuracy value of 97.06 was obtained.
PENGEMBANGAN SISTEM INFORMASI MANAJEMEN LABORATORIUM KOMPUTER UNTUK MENDUKUNG PROSES ADMINISTRASI BEBASIS WEB
Authors: Purnomo Wulan Andang , Winarti Dwi , Yusran Yusran
Published: January 2023

The Faculty of Computer Science, Dharmas University Indonesia must have adequate laboratory facilities, this is because the Departments in the Faculty of Computer Science are 60% practice and 40% theory. Currently the facilities owned by this Faculty are quite adequate but administratively they are still not supportive. One of them is the process of borrowing computers, scheduling practices, and processing Inventory data which is still conventional, which is done by recording on a ledger and a piece of paper. If this continues, it is likely that data will easily be lost in the administration of documents and goods data that is not neat. In addition, officers will find it difficult to determine the scheduling of practicum courses. To solve these problems, a web-based laboratory Management Information System was designed to make it easier for workforce officers and lecturers to carry out learning activities and borrow practicum tools. The Waterfall method is used to build this system. The results of the research are web products built using PHP MySQL. Through this system the performance of officers is increasing because officers can manage inventory data, information on incoming and outgoing goods, scheduling courses, borrowing computer workforce facilities easily and quickly.
RANCANG BANGUN SISTEM IOT UNTUK PETERNAKAN IKAN HIAS KOKI DAN MOLLY
Authors: Rochadiani Theresia Herlina , Santoso Handri , Widjaja William , Ariqoh Ulfah Dzakiyah Nisrina , Rahayu Regina Angelika Septi , Natasya Youzy
Published: January 2023

As a country rich in fish species diversity, Indonesia was ranked as the fourth largest exporter of ornamental fish in the world from 2016 to 2019. Ornamental fish is one of the potential commodities. However, crop failure due to uncontrolled water quality such as rising ph levels is a problem that needs to be solved. As a solution, this study builds a LoRaWAN-based IoT system to be able to monitor ph, tds, and pool water temperature levels of koki and molly fish pond from anywhere and anytime through a mobile application. The sensor node uses a Heltec Lora Wi-Fi 32 v2 microcontroller that supports LoRa technology and uses the DS18B20 sensor as a temperature sensor, and a DFRobot sensor to measure ph and tds. From the test results, the accuracy of each sensor is quite good with an average error of 0.35 for temperature sensors and 0.37 for ph sensors, as well as an error percentage on tds sensors of 1.5. From the results of the implementation, the ph and temperature values in the koki fish  and molly fish pond are quite good as habitats, but the tds value of pond water is quite high.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PENERIMA BEASISWA MENGGUNAKAN METODE ELECTRE
Authors: Sianturi Betaria Sonata , Sihombing Volvo , Munthe Ibnu Rasyid
Published: January 2023

This study aims to address the problem of determining whether or not students are eligible to receive scholarships at SMP Pembangunan Bagan Batu. Determination of scholarship recipients is done by building a computer-based decision support system that helps make it easier to determine students who are entitled to get the scholarship. Decision support system built using the Electre method. The criteria used in the DSS Electre Method consist of the Average Student Report Card Score, Total Parental Income, Total Dependents of Parents, Total Achievements of the student with a weight of 3,3,2,2 for each criterion. The final result of the DSS Electre method is a recommendation through favorable matrix data which is determined based on the highest number of 1s. The results of this research case study, alternatives with a value of at least 1 can be eliminated. The biggest score was obtained by Alternative Siswa_01 with the highest score of 1.
SISTEM PENDUKUNG KEPUTUSAN SELEKSI PEREKRUTAN KASIR MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING
Authors: Siregar Welfriede , Masrizal Masrizal , Munthe Ibnu Rasyid
Published: January 2023

This study aims to solve the selection problem of recruiting employees to be placed in the cashier section at Growmart (Cab. Farming Business) - Bagan Batu Farm Shop. To facilitate the selection of cashiers at this company, it is done by building a decision support system that can help make it easier for companies to select prospective cashiers to be employed at the company. Decision support system built using the Simple Additive Weighting method. The criteria used in the DSS SAW method consist of psychological tests, interviews, health tests, education and work experience. The results of data processing from this research case study, obtained the 3 best cashier candidates with rank 1 is cashier 06 with a value of 1.00890, rank 2 is candidate for cashier 05 with a value of 1.00339, and rank 3 is candidate cashier 02 with a value of 0.99813.
SISTEM INFORMASI UNTUK MENENTUKAN PENERIMAAN BANTUAN PROGRAM KELUARGA HARAPAN DI KELURAHAN PASAR MERAH TIMUR
Authors: Yanti Silvira Fajar , Lestari Yuyun Dwi , Hidayat Dodi
Published: January 2023

The Family Hope Program (PKH) is a social assistance program for underprivileged and vulnerable families by the Ministry of Social Affairs of the Republic of Indonesia with various conditions. This program aims to help the poor as well as a mechanism for social protection and poverty alleviation. The selection process that took place at the Pasar Merah Timur Kelurahan office still had several drawbacks, because the selection process was still manual and there was an element of subjectivity in determining potential PKH beneficiaries, this would result in PKH beneficiaries not being on target. To solve this problem, a web-based information system for determining Family Hope Program Assistance (PKH) was designed. The existence of this web-based system can help make it easier to determine the PKH assistance process using the information system.
ANALISIS PENERAPAN DATA MINING DALAM PENENTUAN TATA LETAK BARANG MENGGUNAKAN ALGORITMA APRIORI DAN FP-GROWTH
Authors: Harahap Afluqfy , Perangin-Angin Ade Luthfi Ramadhan , Kumar Kisen , Parsaoran Saut Parsaoran
Published: January 2023

Setting the layout of merchandise in each store window greatly affects consumer interest in shopping. To increase self-service sales, a strategy is needed to achieve this, one of which is to systematically arrange the layout of goods on merchandise shelves. The method used for implementing the layout of goods is to compare the performance of the Apriori Algorithm and the FP-Growth Algorithm in the data mining process using the Rapidminer Studio Educational Version 9.10.011 tools to obtain more accurate results. The data sample used is sales data at the Mohare Supermarket, which is tested to understand the association patterns generated by each method. Based on the test results with a minimum support of 20% and a minimum confidence of 70%, the Apriori Algorithm produces 10 rules with a support of 0.32258605 and an accuracy of 12.8%, while the FP-Growth Algorithm produces 78 rules with a support of 2.51612903 with an accuracy of 780%. Thus, the FP-Growth Algorithm can be stated to have a high degree of accuracy in generating association rules when compared to the Apriori Algorithm.
IMPLEMENTASI DATA MINING UNTUK MEMPREDIKSI PENYAKIT JANTUNG MENGGUNAKAN METODE K-NEAREST NEIGHBOR DAN LOGISTIC REGRESSION
Authors: Sitanggang Delima , Nicholas Nicholas , Wilson Verrell , Sinaga Arwin Riko Apwinto , Simanjuntak Amos Daniel
Published: January 2023

Heart attack disease is a condition where the arteries are blocked due to fatty deposits. This disease causes several symptoms such as shortness of breath, chest pain. In addition, this is also due to impaired blood flow to the heart that is blocked and can destroy the heart muscle. Until now, heart attack disease is still the leading cause of death in Indonesia. The problem faced today is that it is very difficult to predict heart disease and determine whether a person has heart disease. An appropriate method is needed to predict heart disease. The purpose of this study was to calculate the level of accuracy in predicting heart attack using the K-Nearest Neighbor and Logistic Regression methods. Based on the research and data processing that has been applied and the comparison of the K-Nearest Neighbor and Logistic Regression algorithms, the final results are the accuracy of the Logistic Regression Algorithm of 88% and the K-Nearest Neighbor algorithm of 83%. Thus it can be concluded that the Logistic Regression algorithm is the best in predicting heart attack disease than the K-Nearest Neighbor algorithm.