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<![CDATA[SISTEM PENGELOLAAN KURIKULUM, ABSENSI DOSEN DAN KULIAH PENGGANTI PADA FAKULTAS TEKNOLOGI INFORMASI UNIVERSITAS TARUMANAGARA ]]>
<![CDATA[Yunita Yunita]]>;
<![CDATA[Lely Hiryanto]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 1 (2013): Jurnal Ilmu Komputer dan Sistem Informasi ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v1i1.3099
<![CDATA[The developed application consist of three parts, curriculum operational manager,lecturer’s absence manager and scheduling of substitute course. The curriculum operational manager is used as a tool to create a computerized curriculum operational’s report. Meanwhile, the lecturer’s absence manager is created to count the absence of the lecturer and generating a lecturer absence recapitulation’s document. The Constraint Based Reasoning Algorithm will be combined with Great Deluge Algorithm to get a suitable room and time slot for the needed substitute course. The application’s testing result’s shows that the system has been able to generate curriculum operatinal’s report and lecturer’s absence report according to the prescribed format. Testing to the substitute course scheduling is conducted on Faculty of Information Technology Tarumanagara University’s 2012/2013 odd semester’s schedule and the result shows that there was no violation of the provisions of existing substitute course schedule’s rule. ]]>
<![CDATA[PERANCANGAN SISTEM PENJADWALAN PRODUKSI MENGGUNAKAN PENGGABUNGAN METODE NEH DAN M-MMAS ]]>
<![CDATA[Rionaldy Trisaputra]]>;
<![CDATA[Lely Hiryanto, ST., M. Sc]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 1 (2014): Jurnal Ilmu Komputer dan Sistem Informasi ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v2i1.3184
<![CDATA[The designed system is a scheduling production system with a general flow shop. The purpose of this system is to determine the exact sequence work to minimize makespan and mean flow time by using the combination method Nawaz, Enscore & Ham (NEH) and Mix Max-Min Ant System (M-MMAS). The M-MMAS method requires an initial solution that initial sequence determined by NEH method as one of the best heuristic methods to minimize makespan. Afterwards, it’s continued with M-MMAS method. The testing is done by comparing M-MMAS method with enterprise scheduling system. The result of the testing which uses NEH method gives changes in the objective function that is makespan reduction of 3.12% and mean flow time of 5.23% whereas by using M-MMAS method gives makespan reduction of 3.12% and mean flow time of 20.16% of enterprise system currently. Key wordsGeneral Flow Shop, Makespan, Mean Flow Time, Nawaz Enscore and Ham, Mix Max-Min Ant System]]>
<![CDATA[APLIKASI PENJADWALAN UJIAN DAN KULIAH PENGGANTI DENGAN METODE ANT COLONY OPTIMIZATION (STUDI KASUS: FTI UNTAR) ]]>
<![CDATA[Vina Tandean]]>;
<![CDATA[Lely Hiryanto]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 1 (2014): Jurnal Ilmu Komputer dan Sistem Informasi ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v2i1.3189
<![CDATA[An exam and substitute class application is made using Ant Colony Optimization algorithm. FTI Untar is used as a study case in this application development The purpose of using this algorithm is to get a schedule that not break constraints. The results of the tests done for the courses scheduling of odd semester of 2012 / 2013 until odd semester of 2013 / 2014, there is no hard-constraints (constraints that must be satisfied) violation, but there is a violation of soft constraint. It is also concluded that the average number of students who need to participate in more than one exam at the same time is 23 students. The number of students is an average sum of 5 subjects. After evaluating the existing schedule, it is concluded that the number of students who need to participate in more than one exam at the same time in the generated schedule is higher, but the violation of soft constraints is less. Key wordsAnt Colony Optimization,Exam, Substitute Class, University Timetabling Problem ]]>
<![CDATA[SISTEM TERDISTRIBUSI UNTUK COURSE MANAGEMENT SYSTEM (STUDI KASUS : FTI UNTAR) ]]>
<![CDATA[Farenco Farenco]]>;
<![CDATA[Lely Hiryanto]]>;
<![CDATA[Bagus Mulyawan]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 1 (2013): Jurnal Ilmu Komputer dan Sistem Informasi ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v1i1.3070
<![CDATA[Distributed Systems for Course Management System is a system designed using the System Development Life Cycle (SDLC) method in order to help activities that related to teaching and learning activities in the Faculty of Information Technology Tarumanagara University. Inside the program, there are several modules, such as student attendance module, online quiz module, and lecture materials processing module. Student attendance module is used to record student attendance, and display it in a report. Course materials processing module is used to process lecture materials so later they can be used as a place to share course materials. Based on the test results, the modules in the program has gone very well and can be accepted by the faculty. Student attendance module and the student attendance report is able to help faculty and staff departments to record and view student attendance at every teaching and learning activities.]]>
<![CDATA[SISTEM PENJADWALAN MATA KULIAH, PRAKTIKUM, DAN KULIAH PENGGANTI DENGAN METODE ITERATIVE FORWARD SEARCH ]]>
<![CDATA[Nadia Yanitra]]>;
<![CDATA[Lely Hiryanto]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 3, No 1 (2015): Jurnal Ilmu Komputer dan Sistem Informasi ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v3i1.3281
<![CDATA[Class, laboratory, and substitute class application is made by using Iterative Forward Search. This application will deliver optimized schedule of class, laboratory, and substitute class scheduling. The sample case is Faculty of Information Technology at Tarumanagara University. Iterative Forward Search is used to deliver schedule of class, laboratory, and substitute class with consideration of part time lecturer’s time availability, no violation of hard constraint, and as few as possible violation of soft constraint. The results still indicate the violation of soft constraint and the mismatch schedule to part time lecturer’s time availability. The most frequent violation of soft constraint is when two classes; one class is in year x and the other one is in year (x-2) or year (x+2); were scheduled in the same timeslot. The mismatch schedule to part time lecturer’s time availability is caused by violation of hard constraint in the pointed timeslot. Key wordsIterative Forward Search, Fakultas Teknologi Informasi Universitas Tarumanagara, University Course Timetabling Problem]]>
<![CDATA[Aplikasi Perencanaan Studi Mahasiswa Menggunakan Bayesian Belief Networks (Studi Kasus FTI Untar) ]]>
<![CDATA[Ferryanto Ferryanto]]>;
<![CDATA[Lely Hiryanto]]>;
<![CDATA[Dedi Trisnawarman]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 2 (2013): Jurnal Ilmu Komputer dan Sistem Informasi ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v1i2.3128
<![CDATA[The application of student’s itinerary consists of two main part. The first part is recommendation. The recommendation uses bayesian belief networks to classify whether a student might pass or not if they took a certain course. The recommendation will give an alternative itinerary about information regarding which courses, lecturers, and classes to take. This is possible by mining data from previous students with similiar academic achievements. The last but not least part is detection. The function of detection is to detect which students are likely to drop out. This is done by calculating the average total points accumulated for each passing courses, then comparing it with provision of minimum accumulated points from the Faculty of Information Technology. The detection also involves calculation of the average accumulated points terms and comparation whether the students might graduate within the time limit based on the provision. The recommendation using bayesian belief networks proves to be useful by getting 91,24 % accuracy. The high accuracy is likely supported by considerate preprocessing methods and the relationship of each attribute from bayesian belief networks. The detection part is able to detect which students are likely to drop out, for the marked students are students that had drop out before and had a bad academic achievements. Key wordsBayesian belief networks, detection, drop out, recommendation, student’s itinerary.]]>
<![CDATA[APLIKASI PERHITUNGAN EFFORT PERANGKAT LUNAK DENGAN METODE PUTNAM’S MODEL ]]>
<![CDATA[Frankie Frankie]]>;
<![CDATA[Lely Hiryanto]]>;
<![CDATA[Bobby Tumbelaka]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 3, No 1 (2015): Jurnal Ilmu Komputer dan Sistem Informasi ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v3i1.3267
<![CDATA[Computer technology has developed so much in this last few years. It has already been used by everyone in many aspects even in daily life. Computer technology itself is made by hardware and software. Those two parts stands together to form a technology that can be used by everyone. Hardware is kind of tool or device that is used to runs software. Software is a program that has many kinds depends on need. Software itself is built by codes that is written in various programming language. Software helps people in doing their works. Measuring value of a software is not an easy thing, especially to know the effort needed in writing source code. This program is made to calculate the effort estimation of a software. The method used to calculate the effort is Putnam’s Model which used productivity value of many source code as a model. Key wordsEffort Estimation, Software, Putnam’s Model]]>
<![CDATA[PERANCANGAN APLIKASI OPTIMALISASI MUATAN PADA KONTAINER DENGAN ALGORITMA METAHEURISTIC ]]>
<![CDATA[Irawati Djajadi]]>;
<![CDATA[Lely Hiryanto]]>;
<![CDATA[Gunadi Gan]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 1 (2013): Jurnal Ilmu Komputer dan Sistem Informasi ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v1i1.3076
<![CDATA[Container Loading Problem (CLP) is a problem that will occur in loading cargo into a container in which the expected result is that goods can be entered into a container with maximum quantity of cargo and empty space on the container to a minimum. An application of container’s cargo optimization is made in the form of cargo arrangement simulation to cope CLP .The method used is metaheuristics which is the development of heuristic algorithms. This method is used to find a better solution to resolve the problem making the charge that the results obtained are expected to be more optimal with some conditions. Based on the tests performed, the results of metaheuristics is sometimes worst than heuristics related to the amount of cargo that successfully stacked but the position of the resulting preparation is better than stage heuristic seen from the resulting fitness value based on stability, type dan cargo load which stacked.]]>
<![CDATA[PEMBUATAN KUMPULAN SOAL FAKULTAS TEKNOLOGI INFORMASI UNIVERSITAS TARUMANAGARA MENGGUNAKAN ALGORITMA GENETIKA ]]>
<![CDATA[James Ariel Gunawan]]>;
<![CDATA[Lely Hiryanto]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 3, No 1 (2015): Jurnal Ilmu Komputer dan Sistem Informasi ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v3i1.3272
<![CDATA[only refer to the matter of collection questions only. Test Kumpulan also refers to the process of test’s monitoring and storage with related information to make it easier to assembled. Aplikasi Kumpulan Soal Fakultas Teknologi Informasi Universitas Tarumanagara is an application that serves to accommodate the test that would be candidates for inclusion in the test in each course in the Faculty of Information Technology at Tarumanagara University. This application also provides automation features for making the test package. This automation using fuzzy sets and genetic algorithm to produce the prospective questions population of the test package. Key Words:Kumpulan Soal, Fakultas Teknologi Informasi Universitas Tarumanagara, Fuzzy Sets, algoritma genetika.]]>
<![CDATA[PEMBUATAN APLIKASI PENENTUAN TINGKAT KEMIRIPAN ANTAR DOKUMEN TEKS MENGGUNAKAN METODE VECTOR SPACE MODEL ]]>
<![CDATA[Alfine Candra Cuaca]]>;
<![CDATA[Lely Hiryanto]]>;
<![CDATA[Tri Sutrisno]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 1 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v6i1.2592
<![CDATA[The application of similarity detection between text documents created using Vector Space Model (VSM) method gives result of similarity degree values and percentage of similarity between comparison document and the test documents. The process of this method, first calculates the word weight with pre-processing that is using Term Frequency – Inverse Document Frequency (TF-IDF), then calculates the dot product between comparison documents with each test document and dot product document with the document itself, then to calculate the angle using cosine similarity to get the similarity degree values between the comparison documents with each test document.The test is done by using data from the students of Faculty of Information Technology, Tarumanagara University amounted to 21 people which divided into 4 sections, namely chapter I, chapter III, chapter IV, and chapter V. The test results showed that the application can operate the VSM method well and in the testing process, VSM method is not affected by the length of the documents and also not affected by the word order.]]>
