Articles
<![CDATA[Analysis of Taklinear Performance and Integer Linear Programming Models in Nurses Scheduling Problems ]]>
<![CDATA[Nababan, Junerdi]]>;
<![CDATA[Tulus, Tulus]]>;
<![CDATA[Situmorang, Zakarias]]>
<![CDATA[ Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v4i2.10528
<![CDATA[Almost all hospitals schedule nurses' work shifts manually, which is not effective, mistakes in scheduling nurses in hospitals can make them not work optimally so that they are prone to making mistakes and will endanger every patient in the hospital. In the research will be proposed integer linear programming model and branch and bound method, the purpose of this study is to develop an optimization model of nurse scheduling problems at the hospital. The optimization model will minimize the total deviation of nurses' working days from the standard workdays, the optimization model implemented in hospitals is processed using LINGO software.]]>
<![CDATA[INDONESIAN TEXT DATASET FOR DETERMINING SENTIMENT CLASSIFICATION USING MECHINE LEARNING APPROACH ]]>
<![CDATA[Syahputra, Indra Edy]]>;
<![CDATA[Tulus, Tulus]]>;
<![CDATA[Efendi, Syahril]]>
<![CDATA[ JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING) Vol 3, No 2 (2020): EDISI JANUARI ]]>
Publisher : <![CDATA[Universitas Medan Area ]]>
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DOI: 10.31289/jite.v3i2.3153
<![CDATA[Advances in information technology encourage the emergence of unlimited textual information with the use of online media developing so rapidly that the emergence of the need for information presentation without reducing the value of the information presented. Basicaly the concept of the dataset is a general form of almost every discipline, where the dataset provides empirical basic information for research activities. Sentiment analysis is done to see opinions or feelings about a problem or identify and classify information trends from the problem. The dataset analysis in determining sentiment classification is a model of sentiment classification that has relevance to the dataset with the use of machine learning techniques with supervision that learns from experience to predict output from labeled input data and output from machine learning. The results of experiments and tests that have been carried out on machine learning techniques with supervision can classify sentiments in the tweet text properly and the level of accuracy can still be improved to a better direction with data namely baseline 100 (days) and 83 (weeks), naivebayes 100 (days) and 82 (weeks), maxent 100 (days) and 83 (weeks), and SVM 100 (days) and 83 (weeks).]]>
<![CDATA[Mengukur efektifitas program pengendalian inflasi pada hari besar keagamaan (idul fitri, natal dan tahun baru) di kota tegal ]]>
<![CDATA[Tulus, Tulus]]>;
<![CDATA[Ahmad, Abdul Aziz]]>;
<![CDATA[Suharno, Suharno]]>
<![CDATA[ INOVASI Vol 16, No 1 (2020) ]]>
Publisher : <![CDATA[Faculty of Economics and Business Mulawarman University ]]>
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DOI: 10.29264/jinv.v16i1.7013
<![CDATA[Dapat dipahami, bahwa setiap menjelang hari besar keagamaan terjadi kenaikan harga barang dan jasa hampir diseluruh daerah di Indonesia, tidak terkecuali di Kota Tegal. Upaya pengendalian inflasi daerah yang dilakukan olehTim Pengendalian Inflasi Daerah (TPID) yang dilakukan tidak lebih sebagai kegiatan rutin sehingga seringkali tidak efektif dalam mencapai sasaran pengendalian inflasi yang diharapkan. Sebagai bagian manajemen risiko pengendalian inflasi di Kota Tegal, maka perlu dilakukan inventarisir komoditas-komiditas apa saja yang berkontribusi baik secara frekuensi maupun andil mempengaruhi inflasi di Kota Tegal dalam setiap momentum hari besar keagamaan nasional, sehingga penanganan inflasi yang dilakukan lebih effektif dan terukur. Penulis mengambil data inflasi pada momentum hari besar keagamaan Idul Fitri, Natal dan Tahun baru  4 (empat) tahun dari tahun 2015-2018 yang diolah secara sederhana menggunakan program microsof excel dan dipetakan melalui 4 (empat) kuadaran yaitu kuadran I, II, III, dan IV yang menunjukkan frekuensi dan andil 10 (sepuluh) komoditas yang sering muncul dalam inflasi di moment idul fitri. Selanjutnya dipilih prioritas komoditas paling besar frekuensi dan andil yang terdapat di kuadran I untuk dilakukan treatment melalui perumusan strategis hal-hal yang perlu dilakukan.]]>
<![CDATA[Analisis Pengaruh Rotasi dan Mutasi Kerja Terhadap Kinerja Karyawan di KJKS BMT Anda Salatiga ]]>
<![CDATA[Aini, Nur]]>;
<![CDATA[Tulus, Tulus]]>
<![CDATA[ Muqtasid: Jurnal Ekonomi dan Perbankan Syariah Vol 6, No 1 (2015): MUQTASID: Jurnal Ekonomi dan Perbankan Syariah ]]>
Publisher : <![CDATA[IAIN Salatiga ]]>
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DOI: 10.18326/muqtasid.v6i1.105-123
<![CDATA[This study aims to determine whether job rotation and work mutation influence employee performance at BMT KJKS Anda Salatiga. Samples in this study are 31 respondents. This research uses primary data which are collected through interview and questionnaires. Multiple regression analysis is used as an analytical method in this research. The research shows that job rotation influences employee performance partially but work mutation does not. Job rotation and work mutation on does not influence employee performance simultaneouslyPenelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh rotasi dan mutasi kerja terhadap kinerja karyawan di KJKS BMT ANDA Salatiga.Populasi yang digunakan dalam penelitian ini adalah karyawan KJKS BMT ANDA Salatiga sebanyak 37 karyawan. Sampel dalam penelitian ini sebanyak 31 responden. Jenis data dalam penelitian ini adalah primer. Metode pengumpulan data melalui wawancara dan kuesioner. Metode analisis yang digunakan adalah regresi linear berganda. Hasil penelitian membuktikan bahwa secara parsial rotasi berpengaruh terhadap kinerja karyawan. Mutasi kerja secara parsial tidak berpengaruh terhadap kinerja karyawan dan rotasi kerja dan mutasi kerja secara simultan tidak berpengaruh terhadap kinerja karyawan]]>
<![CDATA[THE CYCLE LENGTH OF SPARSE REGULAR GRAPH ]]>
<![CDATA[Christy, Claudia]]>;
<![CDATA[Suwilo, Saib]]>;
<![CDATA[Tulus, Tulus]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v7i3.11595
<![CDATA[Let be a reguler graph with girth . Set of cycle length in Graf is denoted by . Graph is a sparse graph if and only if . Furthermore, it was obtained the number of cycle length of sparse reguler graph which denoted is .]]>
<![CDATA[Hybrid Cryptosystem Analysis RSA Algorithm And Triple DES Algorithm ]]>
<![CDATA[Liana, Liana]]>;
<![CDATA[Zarlis, Muhammad]]>;
<![CDATA[Tulus, Tulus]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v8i3.12467
<![CDATA[Data security is needed in terms of communication. To guarantee data security, a technique is needed to make data and information called Critography. This study aims to analyze the process of Super Encryption in symmetric and asymmetric criterias using the Triple DES Algorithm and the RSA Algorithm. This can improve data security so that data is more confidential. The method used in Triple DES which is also called the symmetric algorithm is the OFB (Output feeback) method, and the RSA Algorithm (Riverst - Shamir-Adleman) which is an asymmetric algorithm using a random number system so that when these two algorithms are combined in the Super Encryption process the more accurate the data security. Super DES Triple Encryption and RSA algorithm analysis shows that the data created by text will be encrypted into ciphertext using both methods and re-described, so that the security of the data is relatively safe. Super Encryption on the two methods Algorithm is done because the level of complexity is difficult to make Cryptanalysts to steal data and the Encryption process becomes slow but data security becomes safer and not easy to attack Cryptanalysts. The problem in this research is how to increase encryption security and speed up the encryption process by combining the RSA and Triple DES methods.]]>
<![CDATA[Finite Element Model of Rock Obstruction on Overtopping at the Coastline ]]>
<![CDATA[Marpaung, Rony Genevent]]>;
<![CDATA[Tulus, Tulus]]>;
<![CDATA[Mardiningsih, Mardiningsih]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v8i3.12630
<![CDATA[Wave overtopping is a common phenomenon that occurs during extreme sea conditions, where water waves travel over the surface of an open structure towards the sea and pass over its crest. To prevent flooding and coastal erosion, rock structures are often constructed as wave barriers along the shore. These barriers serve as a solution to mitigate wave overtopping. One of the key factors influencing overtopping is the arrival of continuous and sufficiently high-water waves that can pass through the top of coastal defense structures. Several phase settlement methods have been developed and applied to analyze wave overtopping using the Navier-Stokes (NS) equation. By employing the finite element method, numerical solutions and simulations are sought by inputting specific parameter values. This process aims to validate the accuracy of the resulting mathematical model. To accomplish this, a program is developed based on the discretization of the model, enabling a system analysis approach. The obtained results exhibit minimal error values, thereby demonstrating optimal outcomes in terms of rock placement. The entire fluid mechanics system analysis is simulated using the COMSOL Multiphysics 5.6 program, which provides a comprehensive platform for studying and evaluating the performance of the wave barrier system]]>
<![CDATA[Simplifying Complexity: Scenario Reduction Techniques in Stochastic Programming ]]>
<![CDATA[Sinaga, Christian]]>;
<![CDATA[Tulus, Tulus]]>;
<![CDATA[Mawengkang, Herman]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v8i3.12753
<![CDATA[Stochastic programming problems arise as mathematical models for optimizing problems under stochastic uncertainty. Computational approaches for solving these models often involve approximating the underlying probability distribution with a probability measure that has finite support. To mitigate the computational complexity associated with increasing the number of scenarios, it may be necessary to reduce their quantity. The scenario is selected as the first element of supp , and the separable structure is used to determine the second element of supp while keeping the first element fixed. The process is repeated to establish the remaining indices, and each subsequent scenario is reduced accordingly. This iterative process continues until scenario is reduced]]>
<![CDATA[(RETRACTED) The development of Newton’s method by enhancing the starting point ]]>
<![CDATA[Nabiyah, Ismi Ratin]]>;
<![CDATA[Salim, Opim]]>;
<![CDATA[Tulus, Tulus]]>
<![CDATA[ International Journal of Trends in Mathematics Education Research Vol 6, No 1 (2023) ]]>
Publisher : <![CDATA[SAINTIS Publishing ]]>
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DOI: 10.33122/ijtmer.v6i1.205
<![CDATA[Reason for Retraction (February 01st, 2024):This article has been retracted by the editors due to publication ethics misconduct by authors that the authors did not have ownership of the data that they report. Ismi Ratin Nabiyah as a corresponding Author of the article and as the representative of all authors, has asked the editor to retracted this article and recognize the mistakes for him.]]>
<![CDATA[Discrete optimization model for multi-product multi-supplier vehicle routing problem with relaxed time window ]]>
<![CDATA[Firdaus, Muliawan]]>;
<![CDATA[Mawengkang, Herman]]>;
<![CDATA[Tulus, Tulus]]>;
<![CDATA[Sawaluddin, Sawaluddin]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijece.v15i1.pp592-603
<![CDATA[This study examines the complicated logistics optimization issue known as the vehicle routing problem for multi-product and multi-suppliers(VRP-MPMS), which deals with the effective routing of a fleet of vehicles to convey numerous items from multiple suppliers to a set of consumers. In this problem, products from various suppliers need to be delivered to different customers while considering vehicle capacity constraints, time windows, and minimizing transportation costs. We propose a hybrid approach that combines a generalized reduced gradient method to identify feasible regions with a feasible neighborhood search to achieve optimal or near-optimal solutions. The aim of the exact method is to get the region of feasible solution. Then we explore the region using feasible neighborhood search, to get an integer feasible optimal (suboptimal) solution. Computational experiments demonstrate that our model and method effectively reduce transportation costs while satisfying vehicle capacity constraints and relaxed time windows. Our findings provide a viable solution for improving logistics operations in real-world scenarios.]]>
