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All Journal Jurnal Usia Dini Jurnal TIMES SCHOOL EDUCATION JOURNAL PGSD FIP UNIMED JURNAL PENDIDIKAN TAMBUSAI IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science Didaktik : Jurnal Ilmiah PGSD STKIP Subang TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Social Responsibility Projects by Higher Education Forum LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran JGK (Jurnal Guru Kita) JS (Jurnal Sekolah) KETIK : Jurnal Informatika

Natalia Silalahi, Natalia

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Author-ID : 636932

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Implementasi Algoritma Genetika Dalam Penjadwalan Jeda Iklan Pada Stasiun Radio 99.1 Most FM Mutiah, Mutiah; Buulolo, Efori; Silalahi, Natalia
Building of Informatics, Technology and Science (BITS) Vol 2 No 2 (2020): December 2020
Publisher : Forum Kerjasama Pendidikan Tinggi

The screening of advertisements on a commercial radio station is done every day from Sunday to Saturday. In commercial radio stations, in general, making ad schedules is still manually which results in delays in the presentation of the weekly ad schedule. Playback time consists of two types, namely prime time and regular time. Radio Ad Scheduling that will be discussed in this study is the ad screening that is carried out on the radio broadcast schedule, which is between 5 am to 24 pm in which with the rules every 15 minutes are provided 3 ad playback slots with a maximum duration of 1 minute per ad. So if the radio broadcast time per day is 19 hours, then the maximum number of ads per day that can be displayed is 76 ads. Another rule is the implementation of prime time, the hours at which the general public (listeners) have the greatest opportunity to listen to the radio, which is between 6:00 and 10:00 in the morning and 16: 00-20: 00 at night. The number of screenings of the same advertisement on one day is limited to prime time which is 5 times, while for regular time is 8 times. The radio scheduling process is carried out using genetic algorithms consisting of chromosome initialization, selection, crossover and mutation processes. The chromosomes in this study consist of 3 genes, each chromosome will be evaluated based on its fitness value which is calculated based on the number of violations of rules that occur on each chromosome in an individual. Where rule 1 is the number of plays per advertisement that cannot be more than 5 times in a day and rule 2 is that there cannot be two or more ad scheduling shows on the same day and time. After that the fitness value of each chromosome is obtained, then the selection, crossover and mutation are carried out. From this research an optimal ad schedule is produced by scheduling overall ad data, day and time of ad playback

Penerapan Metode Fuzzy Tsukamoto Dalam Penentuan Harga Laptop Bekas Marpaung, July Yanti; Ginting, Guidio Leonarde; Silalahi, Natalia
Building of Informatics, Technology and Science (BITS) Vol 2 No 2 (2020): December 2020
Publisher : Forum Kerjasama Pendidikan Tinggi

The wisdom in taking a decision on a particular problem is not an easy thing, because too much consideration is taken which is expected to help give a reason certain decisions must be taken. Likewise, the handling of the problem determines the price of used laptop units on the CV. Sumber Jaya Computer Medan. The type of used laptop that is determined by the price will be easier if it is done with an application, because it has done an assessment, then the things needed are like the quality of a used laptop according to the price, processor, hard disk, memory, VGA, Old Usage. Decision support system for determining a leptop price is very appropriate to be applied for handling problems that require self-resolution of computers for processing data specifications that follow selection with efficient and accurate calculations. By using Tsukamoto Fuzzy Logic reasoning in the processing of input and output data, as well as supporting information how much ranking is very supportive in making decisions to determine the price of a used laptop.

Penerapan Data Mining Dalam Prediksi Penjualan Prabot Rumah Tangga Menggunakan Metode Apriori Pada Toko Hasanah Mart Silalahi, Natalia
Building of Informatics, Technology and Science (BITS) Vol 2 No 1 (2020): June 2020
Publisher : Forum Kerjasama Pendidikan Tinggi

The application of data mining is very well done, especially in predicting transaction patterns that are very often done in the sale and purchase of household furniture, household furniture is goods that are very much in demand by many groups, especially mothers, the higher the amount of demand, the more data transactions that must be processed, dug up to obtain the desired information and needed a method approach to processing transaction patterns that are the most desirable so that a store or company can sort out the inventory of goods that must be met based on the level of market needs, appropriate methods and has been widely used in one of the sales prediction is the Apriori method is a method that uses association rules that aim to see the associative relationship between a combination of items with other items, in data mining using the a priori method can also be done with very much data from and processed with a fast time and a very good level of data prediction accuracy.

Co-Authors Afriadi, Putra Anada Leo Virganta Areysia, Angel Aulia, Chesia Balqis Ar Raudhah, Putri Bangun, Melly Br. Betty Simanjuntak, Eva Damayanti, Nina Afria Daulay, Asmarianti Dongoran , Indah Yanti Efori Buulolo EVA BETTY SIMANJUNTAK Fahrur Rozi Feby, Feby Aulia Ginting, Rido Pratama Guidio Leonarde Ginting Gultom, Zhulianty Elisabeth Hari Utari, Hari Imelda Free Unita Manurung JAMALUDIN Jauharotun Ramadhani Ahmad S. Khairul Usman Luthfi Siregar, Hanif Maharani Maharani, Maharani Manullang, Laura Marpaung, July Yanti Maulana Siregar, Waliyul Melly Br Bangun Merdy Roy Sunarya Togatorop Mesran, Mesran Mutiah Mutiah Nelly Astuti Hasibuan Norin, Azizi Zahwa Nur Hudayah, Nur Nurdiyanto, Heri Nurhairani Nurhudayah Manjani NURMAYANI NURMAYANI Pardede, Florensia Saulina Perdana, Muhammad Dian Putra Afriadi Rahmilawati Ritonga, Rahmilawati Ramadhani, Noer Risky Saragih, Agusjetron Saragih, Katherine Sarah Sarwandi, Sarwandi Shaira Siregar, Khofifah Siagian, Kristi Debora Siagian, Meryance V Sigalingging, Gaby Sarah Giovani Sihombing, Artia Sihotang, Tari Lasmi Virginia Silaban, Theresia Revani Dianita Simanjuntak, Winda Valerina Simbolon, Oktavia Simbolon, Rahel Sipahutar, Rini Juliana Sipahutar, Rini Juliani Suginam Sunaryo, S Sungamta, Aprilia Surya Darma Nasution Sutiksno, Dian Utami SYAHRIAL SYAHRIAL Tamba, Gressya Pebriani Agatha Tambusai, Robbi Tampubolon, Indah Gresia Tampubolon, Sofie Raihana Togatorop, Natalia Tri Putri Handayani Wildansyah lubis, Wildansyah Winara Yuhandri Yuhandri, Yuhandri Zalukhu, Cwisan Angeltri

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