Judul: Characteristics of Manuka compared Forest Honey Herbal Drinks with The Addition of Qusthul Hindi and Turmeric
Abstrak: Madu manuka dan madu hutan merupakan jenis madu yang sering dikonsumsi karena sifat antioksidannya yang tinggi. Penelitian ini bertujuan untuk menganalisis karakteristik madu hutan dan manuka serta aplikasi madu tersebut sebagai minuman herbal dengan penambahan qusthul hindi dan temulawak. Penambahan qusthul hindi dan temulawak diberikan masing-masing dalam dua formulasi (0,125 g dan 0,375 g). Penelitian ini dilakukan dalam dua tahap, yaitu menganalisis karakteristik madu manuka dan madu hutan serta pembuatan minuman herbal untuk kemudian dianalisis karakteristiknya. Hasil penelitian menunjukkan karakteristik madu hutan belum memenuhi standar pada variabel pH, nilai HMF, dan aktivitas enzim diastase, sedangkan untuk madu manuka hanya memenuhi standar pada variabel kadar air, nilai HMF, dan aktivitas enzim diastase. Penambahan qusthul hindi dan temulawak pada minuman herbal menyebabkan peningkatan nilai pH, aktivitas penghambatan DPPH, dan kapasitas antioksidan, namun secara sensori tidak disukai karena penambahan rempah menyebabkan perubahan rasa dan penampilan., Manuka and forest honeys are types of honeys that are widely consumed because for their high antioxidant properties. In this study, the properties of forest and manuka honey and the use honey as a herbal drink with the addition of qusthul hindi and turmeric were analyzed. The addition of qusthul hindi and turmeric is given in two formulations (0,125 g and 0,375 g, respectively). This study was conducted in two sphase, namely analyzing the characteristics of manuka and forest honey and preparing herbal drinks to then analyzing their properties. The results showed that the properties of forest honey do not meet the standards for the variables of pH, HMF value, and diastase enzyme activity, while manuka honey meets the standards only for variables of moisture, HMF value, and diastase enzyme activity. The addition of qusthul hindi and turmeric to herbal drinks results in an increase in pH, DPPH inhibitoty activity, and antioxidant capacity, as well as a decrease of water content, but is not sensory evaluated because the addition of spices causes changes in taste and appearance.
Keyword: antioxidant, forest honey, manuka honey, qusthul hindi, turmeric

Judul: Characteristics of Physicochemical Properties, Antioxidants, and Organoleptic of Mixed Herbal Honey with the Addition of Curcuma (Curcuma xanthorrhiza) and Ginger (Zingiber officinale)
Abstrak: Salah satu pemanfaatan madu ialah dengan menambahkan atau mencampurkan herbal yang memiliki khasiat tertentu bagi kesehatan, antara lain untuk memelihara kesehatan, mengobati penyakit, dan perawatan tubuh. Campuran antara madu dan rempah-rempah disebut dengan madu herbal. Penelitian ini bertujuan untuk menganalisis sifat fisikokimia, antioksidan, dan organoleptik dari madu herbal, yaitu madu dengan penambahan temulawak (Curcuma xanthorrhiza) dan jahe (Zingiber officinale) yang diberikan penambahan serbuk 0%, 0,5%, dan 1% dari total volume madu dengan tiga pengulangan. Sifat fisikokimia yang dianalisis ialah warna, kadar air, kadar gula, kadar abu, nilai aw, pH, viskositas, dan aktivitas antioksidan. Hasil penelitian menunjukkan bahwa penambahan serbuk temulawak dan jahe terhadap madu berpengaruh meningkatkan kadar abu dan menurunkan viskositas. Penambahan serbuk temulawak dan jahe pada madu tidak berpengaruh terhadap kadar air, kadar gula, kapasitas air (aw), dan pH. Penambahan serbuk temulawak dan jahe pada madu tidak berpengaruh terhadap aktivitas dan kapasitas antioksidan. Hasil uji organoleptik oleh 32 panelis menunjukkan uji hedonik berpengaruh pada aroma, warna dan rasa, panelis lebih menyukai madu tanpa penambahan herbal. Karakteristik organoleptik mutu hedonik pada madu dengan penambahan serbuk temulawak dan jahe 1% lebih disukai panelis dalam hal rasa, kekentalan, dan aroma., One of the uses of honey is to add or mix herbs that have particular benefits for health, among others, to maintain health, treat disease, and take care of the body. The mixture of honey and spices is called herbal honey. This study aims to analyze the physicochemical, antioxidant, and organoleptic properties of herbal honey, namely honey with the addition of curcuma (Curcuma xanthorrhiza) and ginger (Zingiber officinale) given the addition of 0%, 0.5%, and 1% powder of the total volume of honey with three repetitions. The physicochemical properties analyzed were color, water content, sugar content, ash content, aw value, pH, viscosity, and antioxidant activity. The results showed that the addition of curcuma and ginger powder to honey affected increasing the ash content and decreased viscosity. Adding curcuma and ginger powder to honey did not affect water content, sugar content, water capacity (aw), and pH. The addition of curcuma and ginger powder to honey did not affect antioxidant activity and capacity. The results of organoleptic tests by 32 panelists showed that hedonic tests affected flavour, color, and taste, panelists prefer honey without the addition of herbs. The organoleptic characteristics of hedonic quality in honey with the addition of 1% curcuma and ginger powder were preferred by panelists in terms of taste, viscocity, and flavour.
Keyword: Antioksidan, Fisikokimia, Jahe, Madu Herbal, Temulawak

Judul: The Construction of Greedy SVP LLL Algorithm
Abstrak: A lattice is a set of all integer linear combination of a set of linearly independent vectors in ℝ𝑛���. The independent vectors are called bases of lattice. Any lattice can be generated from many bases, and these bases have the same cardinality. In the lattice, the most fundamental and renowned problem is the Shortest Vector Problem (SVP). SVP is a tracking problem of the shortest nonzero vector in a lattice with equivalent bases. In two dimensions, SVP problem has resolved exactly by Gauss’ algorithm. When the lattice dimension is higher than two, A.K. Lenstra, H.W. Lenstra and L. Lovasz gave a LLL algorithm to compute approximation of nonzero shortest vector in the lattice. Reduced bases solution obtained from LLL algorithm still be an approximation and has polynomial running time of arbitrary dimension which large enough. In 1994, Schnoor and Euchner modified this LLL algorithm as a new variant which later was named deep insertion LLL algorithm. This algorithm is a modified version of the LLL algorithm to the terms of the exchange step to improve the accuracy of output of LLL reduced bases and applying it to the subset sum problem. The purpose of this research are: (1) Reconstruct the LLL algorithm and deep insertion LLL algorithm using a geometric approach. (2) Construct a greedy SVP LLL algorithm. (3) Implement the three algorithms in a symbolic programming language, and evaluate them experimentally. A bases ℬ=[𝐛���1,𝐛���2,…,𝐛���𝑛���] in ℝ𝑚��� is called reduced LLL with parameter 𝛿��� if satisfies: (a) |𝜇���𝑗���𝑖���|≤12, for every integer 𝑖���,𝑗��� with 1≤𝑖���<𝑗���<𝑛���. (b)𝛿���‖𝜋���𝑗���(𝐛���𝑗���)‖2≤‖𝜋���𝑗���(𝐛���𝑗���+1)‖2, for 𝑗���=1,2,…,𝑛���−1,where 𝛿��� is a reduced parameter of real numbers with 14<𝛿���<1. The first requirement is the reduced basis 𝛿��� must “nearly orthogonal” and in its computation case, this requirement can be reached out by using the Gram-Schmidt’s orthogonalization. While the second requirement is called exchange step, or used to called as Lovasz condition. By using both of these requirements, then they establish the LLL algorithm. Then, Schnoor and Euchner modify the LLL algorithm based on the requirements of the exchange step called the deep insertion LLL algorithm, where the exchange step is based on the comparison of the projected vector in orthogonal complement [𝐛���1,𝐛���2,…,𝐛���𝑘���−1]⊥ after j-th reduction. To construct greedy SVP LLL algorithm, the requirements of the exchange step is based on purely by comparing norm of lattice 𝐛���𝑗��� with norm lattice 𝐛���𝑖��� for 𝑖���=1,2,3…,𝑗���−1. The process of insertion reduced vector after the exchange step also has done greedily. Then, we calculate the number of arithmetic operation in greedy SVP LLL algorithm for further analysis. The result of our exprimentation for three algorithms on the certain matrix size shows that the running time of the three algorithms increases propotional to the size of the matrix. The result also shows that by using 𝛿���=34 for the LLL algorithm and the deep insertion LLL algorithm, and the greedy SVP LLL algorithm which is a new variant made by using no parameter of 𝛿���, outperform of the other of two previous algorithm in terms of speed with the same output.
Keyword: LLL algorithm, LLL deep insertion algorithm, greedy SVP LLL algorithm