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All Journal Jurnal Ilmiah KOMPUTASI Jurnal Ilmiah Teknik (JUIT) International Journal Science and Technology (IJST)
Makmun
Universitas Gunadarma
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Aplikasi Pembelajaran Tenses dan Passive Voice Berbasis Android Makmun
Jurnal Ilmiah KOMPUTASI Vol 16, No 2 (2017): September
Publisher : STMIK JAKARTA STI&K

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kemajuan teknologi komunikasi terutama smartphone tumbuh dengan pesatnya di seluruh penghujung dunia. Lembaga riset Emarketer bahkan memperkirakan bahwa pada 2018 akan ada 100 juta orang pengguna smartphone.  Saat ini, smartphone berbasis android menjadi solusi untuk mengakses ilmu dan informasi. Mempelajari Tenses dan Passive Voice adalah hal yang paling mendasar bagi seorang pemula yang ingin memahami Bahasa Inggris. Mempelajari Tenses dan Passive Voice dengan membuka buku-buku bahasa Inggris dirasakan kurang praktis dan kurang interaktif. Dengan menggunakan platform Android, aplikasi ini diharapkan dapat membantu masyarakat khususnya anak-anak dan remaja sebagai media alternatif dalam sistem pembelajaran tanpa batasan waktu dan tempat. Perangkat lunak yang digunakan dalam pembuatan aplikasi ini adalah Android-SDK (Software Development Kit), paket instalasi JDK (Java Development Kit), Eclipse Indigo, dan aplikasi ini diuji coba pada emulator Android.
HASIL ANALISIS STATISTIK, DIFERENSIAL, DAN KUALITAS CITRA TERHADAP KOMPOSISI LOGISTIC CIRCLE MAP Makmun Makmun
Jurnal Ilmiah Teknik Vol. 2 No. 1 (2023): Januari : Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v2i1.456

Abstract

The problem of data security is still a matter of concern in the digital era like today. An effective security method is needed and it is difficult to break into. Encryption is an effective method of ensuring data security. The encryption algorithm is built using a chaotic cipher base so that performance in securing data and information increases. The new chaotic composition resulting from two chaotic maps will have better randomness. Logistic Map and Circle Map were chosen because they have good randomness. The new chaotic composition is called the Logistic Circle Map (LC Map). By bifurcation diagram test, Lyapunov Exponent, and NIST random test, the best density occurs at X_0=0.9 , K = 1000, r = 3.7 and Ω = 0.4. The new chaotic composition parameters have passed all 16 NIST (National Institute of Standards and Technology) tests. There are four parameters used in this study in order to obtain a sufficiently high key space, namely 1.296 ×〖 10〗^84 combinations and having a high level of lock sensitivity of 10−17. The image encryption algorithm of the LC Map function has high resistance against various attacks. This can be proven by carrying out key space tests, sensitivity tests for key spaces, histogram tests, entropy, correlation coefficients, and differential tests using the UACI NPCR. The test results on digital image decryption using the Mean Square Error (MSE) show a result of 0 and the Peak Signal to Noise Ratio (PSNR) shows a result of ∞. That is, the encrypted image is similar to the original image.
IMPLEMENTATION SYSTEM OF SIMPLEX METHOD FOR OPTIMIZATION PROFIT Imam Purwanto; Makmun
International Journal Science and Technology Vol. 2 No. 2 (2023): July: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v2i2.822

Abstract

Companies that carry out production activities necessarily want the company's goals to be achieved, one of which is optimal profit. Maximum profit in production can be realized by planning the optimal amount of production. The purpose of this study consists of four, namely making a profit formulation to maximize the amount of production, determining the optimal number of brown bread variants that will be produced at Win Bakery, determining the maximum profit in producing bread at Win Bakery, and predicting profits for return on investment. This research was conducted using a linear programming model. Decision variables determine the decisions that will make to achieve the optimal solution. The objective function is a function that describes the goals or objectives in linear programming problems. Relating to the optimal use of resources to obtain maximum profit or to use minimum costs. A constraint function is a form of formulation of the obstacles faced in achieving the goal. The results obtained from the research are the decision variables, with X1 being the number of square chocolate bread productions and X2 is the number of round chocolate bread productions. The objective function of the profit per unit is to maximize Z = 1000X1 + 800X2. The constraint function is the raw material used in making chocolate bread. Furthermore, the optimization of production with POM-QM resulted in the number of square chocolate bread production of as many as 13 pieces and round chocolate bread as many as 25 pieces so that the profit gained in one day was Rp. 32,500. The next calculation, the break-even point by entering fixed costs, variable costs, and profits obtained results in units of 55 units and the total profit earned is Rp. 1,777,00.
Co-Authors Imam Purwanto