Pelatihan Praktik Kewirausahaan di SMKN 3 Purwokerto

Pelatihan praktik kewirausahaan mempunyai tujuan meningkatkan intensi siswa untuk berwirausaha. Semakin banyak siswa lulusan SMK yang berwirausaha, maka lapangan pekerjaan yang tercipta juga semakin besar. Masalah pengangguran yang terjadi di Indonesia juga dapat berkurang sehingga dapat meningkatkan taraf hidup masyarakat. Munculnya wirausaha-wirausaha baru diharapkan dapat meningkatkan pertumbuhan ekonomi Indonesia. Pelatihan praktik kewirausahaan juga bertujuan untuk menyeimbangkan teori dan praktik dalam pembelajaran. Sehingga teori yang diperoleh di sekolah dapat langsung dipraktikkan. Dalam konteks manfaat yang lebih luas, pelatihan kewirausahaan ini diharapkan dapat meningkatkan pertumbuhan ekonomi dan selanjutnya menurunkan tingkat pengangguran terdidik dari lulusan SMK.Metode yang ditawarkan untuk mengatasi permasalahan yang dihadapi mitra adalah dengan melaksanakan kegiatan pelatihan dan pendampingan. Kegiatan pelatihan yang dilaksanakan adalah pelatihan praktik kewirausahaan kepada siswa kelas XI Jurusan Tata Boga SMKN 3 Purwokerto. Kegiatan pelatihan ditindaklanjuti dengan pendampingan pembuatan business plan sekaligus pengawasan terhadap kesesuaian pelaksanaan USAha dengan business plan yang telah dibuat sebelumnya.Hasil dan kesimpulan adalah 1) Siswa kelas XI Jurusan Tata Boga SMKN 3Purwokerto mampu membuat draft business plan, 2) Siswa kelas XI Jurusan Tata Boga SMKN 3 Purwokerto mampu membuat laporan keuangan untuk USAhanya, 3) Siswa kelas XI Jurusan Tata Boga SMKN 3 Purwokerto mampu mempromosikan produk, mampu menjual produk dan mampu memperoleh keuntungan dari USAhanya

Branding Komunitas Lumpia Komik melalui Kegiatan Public Relations ( Media Managers )

Pada awal tahun 2014 keadaan industri komik Indonesia mulai bangkit, hal ini bisa dibuktikan dengan banyaknya bermunculan judul komik lokal seperti Si Juki, Tuti and Friends, Nebi, Si Gundul, Nusantaranger dan judul komik lainnya. Hal ini menyebabkan tumbuhnya komunitas penggemar komik lokal, salah satunya adalah Lumpia Komik. Lumpia komik adalah sebuah komunitas pecinta komik yang didirikan pada bulan Maret 2014 oleh beberapa pecinta komik dan komikus yang ingin mendukung dan memajukan industri komik lokal, khususnya di kota Semarang. Masih dininya usia dari Lumpia Komik menyebabkan kurangnya awareness masyarakat terhadap komunitas ini.Tujuan dilakukannya kegiatan marketing communication ini adalah untuk menumbuhkan minat atau interest terhadap bacaan komik dan industri komik lokal Indonesia, dalam hal ini dengan cara ikut serentak menyerukan dukungan lewat Lumpia Komik.Audiens yang menjadi target primer adalah pelajar SMA dan Mahasiswa berusia 16-21 tahun yang menyukai komik dan berdomisili di Kota Semarang dan sekitarnya, target sekunder adalah adalah siswa dan siswi SMP dan masyarakat umum yang menyukai komik. Teori yang digunakan untuk mencapai tujuan adalah teori persuasif, konsep brand activationdan IMC (Integrated Marketing Communication). Strategi yang digunakan untuk mencapai tujuan adalah dengan menggunakan IMC dan tools yang digunakan adalah dengan PR dan brand activation.Taktik kegiatan marketing communication ini menggunakan strategi IMC yaitu pendekatan persuasif secara personal, menggunakan iklan berupa video, komunikasi dua arah dengan menggunakan sosial media, program Bikin Komik Besar, workshop Bebas Kumpul Bareng, Berbagi Komik Berarti dan lomba selfie bareng komik mini. Hasil kegiatan marketing communication ini adalah peningkatan awareness terhadap lumpia komik, 20 orang bergabung dalam komunitas Lumpia Komik dan menyusun konsep communication planning Lumpia Komik

KONSUMSI LISTRIK DAN PERTUMBUHAN EKONOMI DI INDONESIA, 1995-2015

The paper seeks to analyze the relationship between electricity consumption and economic growth in Indonesia using Granger Causality Test method. The study also applied ADF UnitRoots Test and Johansen Cointegration Test to ascertain the stasionerity and the relationship between variables that was examined. This paper’s study used time series datas in the period 1995-2015. Based on results, the study found the existence of significantly impact of the variables on economic growth. This study also showed an evidence of one-directional causal relationship between electricity consumption and economic growth

Forward Bifurcation with Hysteresis Phenomena from Atherosclerosis Mathematical Model

Atherosclerosis is a non-communicable disease (NCDs) which appears when the blood vessels in the human body become thick and stiff. The symptoms range from chest pain, sudden numbness in the arms or legs, temporary loss of vision in one eye, or even kidney failure, which may lead to death. Treatment in cases with severe symptoms requires surgery, in which the number of doctors or hospitals is limited in some countries, especially countries with low health levels. This article aims to propose a mathematical model to understand the impact of limited hospital resources on the success of the control program of atherosclerosis spreads. The model was constructed based on a deterministic model, where the hospitalization rate is defined as a time-dependent saturated function concerning the number of infected individuals. The existence and stability of all possible equilibrium points were shown analytically and numerically, along with the basic reproduction number. Our analysis indicates that our model may exhibit various types of bifurcation phenomena, such as forward bifurcation, backward bifurcation, or a forward bifurcation with hysteresis depending on the value of hospitalization saturation parameter and the infection rate for treated infected individuals. These phenomenon triggers a complex and tricky control program of atherosclerosis. A forward bifurcation with hysteresis auses a possible condition of having more than one stable endemic equilibrium when the basic reproduction number is larger than one, but close to one. The more significant value of hospitalization saturation rate or the infection rate for treated infected individuals increases the possibility of the stable endemic equilibrium point even though the disease-free equilibrium is stable. Furthermore, the Pontryagin Maximum Principle was used to characterize the optimal control problem for our model. Based on the results of our analysis, we conclude that atherosclerosis control interventions should prioritize prevention efforts over endemic reduction scenarios to avoid high intervention costs. In addition, the government also needs to pay great attention to the availability of hospital services for this disease to avoid the dynamic complexity of the spread of atherosclerosis in the field

Understanding Dengue Control for Short- and Long-Term Intervention with a Mathematical Model Approach

A mathematical model of dengue diseases transmission will be discussed in this paper. Various interventions, such as vaccination of adults and newborns, the use of insecticides or fumigation, and also the enforcement of mechanical controls, will be considered when analyzing the best intervention for controlling the spread of dengue. From model analysis, we find three types of equilibrium points which will be built upon the dengue model. In this paper, these points are the mosquito-free equilibrium, disease-free equilibrium (with and without vaccinated compartment), and endemic equilibrium. Basic reproduction number as an endemic indicator has been found analytically. Based on analytical and numerical analysis, insecticide treatment, adult vaccine, and enforcement of mechanical control are the most significant interventions in reducing the spread of dengue disease infection caused by mosquitoes rather than larvicide treatment and vaccination of newborns. From short- and long-term simulation, we find that insecticide treatment is the best strategy to control dengue. We also find that, with periodic intervention, the result is not much significantly different with constant intervention based on reduced number of the infected human population. Therefore, with budget limitations, periodic intervention of insecticide strategy is a good alternative to reduce the spread of dengue

Assessing The Impact of Medical Treatment and Fumigation on The Superinfection of Malaria: A Study of Sensitivity Analysis

Malaria is a disease caused by the parasite Plasmodium, transmitted by the bite of an infected female Anopheles. In general, five species of Plasmodium that can cause malaria. Of the five species, Plasmodium falciparum and Plasmodium vivax are two species of Plasmodium that can allow malaria superinfection in the human body. Typically, the popular intervention for malaria eradication is the use of fumigation to control the vector population and provide good medical services for malaria patients. Here in this article, we formulate a mathematical model based on a host-vector interaction. Our model considering two types of plasmodium in the infection process and the use of medical treatment and fumigation for the eradication program. Our analytical result succeeds in proving the existence of all equilibrium points and how their existence and local stability criteria depend not only on the control reproduction number but also in the invasive reproduction number. This invasive reproduction number represent how one plasmodium can dominate other plasmodium. Our sensitivity analysis shows that fumigation is the most influential parameter in determining all control reproduction numbers. Furthermore, we find that the order in which numerous intervention measures are taken will be very crucial to determine the level of success of our malaria eradication program

On the Role of Early Case Detection and Treatment Failure in Controlling Tuberculosis Transmission: A Mathematical Modeling Study

Tuberculosis (TB) remains a pressing global health concern, demanding urgent attention to mitigate its spread and impact. In this study, we present a rigorous mathematical model of TB transmission that incorporates early case detection and addresses the critical issue of treatment failure. Through the development of a system of nonlinear ordinary differential equations, we conduct comprehensive analyses to assess the dynamics of TB transmission and the efficacy of intervention strategies. Our findings underscore the urgent need for effective TB control measures. Mathematical analyses reveal that the model exhibits a TB-free equilibrium, which is globally asymptotically stable only if the control reproduction number falls below one. However, we identify a concerning phenomenon: the model demonstrates a forward bifurcation when the control reproduction number equals one, suggesting that the disease-free equilibrium loses its stability, while simultaneously, the stable unique endemic equilibrium begins to emerge. Moreover, sensitivity analysis highlights the complex interplay between case detection rates, treatment failure probabilities, and TB transmission dynamics. Contrary to expectations, increasing case detection rates and minimizing treatment failure probabilities may not consistently reduce the basic reproduction number or the size of the infected population. Instead, there exists a critical threshold for intervention effectiveness, beyond which TB transmission can be significantly curtailed. Biologically, this phenomenon may occur if there is no balance between case detection and treatment efforts. If treatment quality does not improve, then case detection will not have a significant impact, and in the worst case scenario, it can exacerbate the intervention’s negative effects. These findings underscore the urgency of implementing targeted intervention strategies to combat TB transmission effectively. Failure to meet the critical intervention threshold risks undermining TB elimination efforts and exacerbating the global TB burden. Through numerical simulations, we elucidate potential intervention scenarios necessary for achieving TB elimination goals in human populations. In conclusion, our study highlights the urgent imperative for coordinated action to control TB transmission effectively. By elucidating the dynamics of TB spread and intervention efficacy, we provide valuable insights to inform evidence-based policy decisions and accelerate progress towards TB elimination on a global scale

On the Role of Early Case Detection and Treatment Failure in Controlling Tuberculosis Transmission: A Mathematical Modeling Study

Tuberculosis (TB) remains a pressing global health concern, demanding urgent attention to mitigate its spread and impact. In this study, we present a rigorous mathematical model of TB transmission that incorporates early case detection and addresses the critical issue of treatment failure. Through the development of a system of nonlinear ordinary differential equations, we conduct comprehensive analyses to assess the dynamics of TB transmission and the efficacy of intervention strategies. Our findings underscore the urgent need for effective TB control measures. Mathematical analyses reveal that the model exhibits a TB-free equilibrium, which is globally asymptotically stable only if the control reproduction number falls below one. However, we identify a concerning phenomenon: the model demonstrates a forward bifurcation when the control reproduction number equals one, suggesting that the disease-free equilibrium loses its stability, while simultaneously, the stable unique endemic equilibrium begins to emerge. Moreover, sensitivity analysis highlights the complex interplay between case detection rates, treatment failure probabilities, and TB transmission dynamics. Contrary to expectations, increasing case detection rates and minimizing treatment failure probabilities may not consistently reduce the basic reproduction number or the size of the infected population. Instead, there exists a critical threshold for intervention effectiveness, beyond which TB transmission can be significantly curtailed. Biologically, this phenomenon may occur if there is no balance between case detection and treatment efforts. If treatment quality does not improve, then case detection will not have a significant impact, and in the worst case scenario, it can exacerbate the intervention’s negative effects. These findings underscore the urgency of implementing targeted intervention strategies to combat TB transmission effectively. Failure to meet the critical intervention threshold risks undermining TB elimination efforts and exacerbating the global TB burden. Through numerical simulations, we elucidate potential intervention scenarios necessary for achieving TB elimination goals in human populations. In conclusion, our study highlights the urgent imperative for coordinated action to control TB transmission effectively. By elucidating the dynamics of TB spread and intervention efficacy, we provide valuable insights to inform evidence-based policy decisions and accelerate progress towards TB elimination on a global scale

Projection and Analysis of National Energy Consumption Levels on Indonesia’s Economic Growth Rate through Exponential Smoothing Approach

Abstract This study briefly wants to know the value of the projections of Indonesia’s total energy consumption and how it affects the economic growth that occurs. This is also in line with the need for preventive actions related to the type of policy that will be carried out by decision makers where in this case the government will have an impact on the economic performance of a region reflected in the data presented in income posts and expenditure from Gross Domestic Product. The forecast method used in this study is the Exponential Smoothing method which emphasizes the procedure of continuous improvement of the latest observation objects. This method consists of three types, namely simple exponential smoothing, holt winters and triple exponential smoothing models which will be seen which model is the best. Based on the projection analysis, it was found that the Holt Winters Smoothing Smoothing method was the best method of the other method with R Square value of 0.608, RMSE of 68.446, MAPE of 4.495 and Normalized BIC of 8.888. Based on the projection results for the next n years, total energy consumption has an upward trend with the projection value in 2018 amounting to 1248.76 (thousand barrels of oil equivalent and experiencing an increase in 2019 amounting to 1273.47 (thousand BOE).</jats:p