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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 TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Social Responsibility Projects by Higher Education Forum LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran JGK (Jurnal Guru Kita) International Journal of Educational Practice and Policy 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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PERANCANGAN APLIKASI PERAMALAN PERMINTAAN KEBUTUHAN TENAGA KERJA PADA PERUSAHAAN OUTSOURCHING MENGGUNAKAN ALGORITMA SIMPLE MOVING AVERAGE Utari, Hari; Mesran, Mesran; Silalahi, Natalia
Jurnal TIMES Vol 5, No 2 (2016)
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (272.196 KB)

Salah satu peramalan yang penting dilakukan dalam perusahaan Penyaluran Tenaga Kerja yaitu permintaan tenaga kerja setiap bulannya. Dengan mengetahui peramalan permintaan tenaga kerja, maka dapat membantu perusahaan dalam menentukan jumlah tenaga kerja yang seharusnya disediakan dikarenakan dalam setiap bulannya permintaan yang berubah-ubah dari pihak perusahaan mitra yang membutuhkan tenaga kerja. PT.Tamado Karya Mandiri adalah Perusahaan yang bergerak dalam bidang Penyaluran Tenaga Kerja atau lebih dikenal dengan Outsourcing. PT.Tamado Karya Mandiri melakukan penyaluran tenaga kerja berdasarkan permintaan dari perusahaan mitra yang bekerja sama. Â PT.Tamado Karya Mandiri mengalami masalah penyaluran dikarenakan tidak stabilnya jumlah permintaan setiap bulannya. Peramalan manual yang dilakukan sering tidak akurat sehingga jumlah ketersediaan tenaga Â tidak sesuai, terkadang melebihi ataupun terkadang melebihi jumlah permintaan dari mitra. Pada penelitian ini peramalan permintaan akan dilakukan pada PT.Tamado Karya Mandiri dengan menerapkan metode peramalan Simple Moving Average Â dengan 2 periode.

IMPLEMENTASI DATA MINING UNTUK PENGATURAN LAYOUT MINIMARKET DENGAN MENERAPKAN ASSOCIATION RULE Maharani, Maharani; Hasibuan, Nelly Astuti; Silalahi, Natalia; Nasution, Surya Darma; Mesran, Mesran; Suginam, Suginam; Sutiksno, Dian Utami; Nurdiyanto, Heri; Buulolo, Efori; Yuhandri, Yuhandri
JURIKOM (Jurnal Riset Komputer) Vol 4, No 4 (2017): Agustus 2017
Publisher : STMIK Budi Darma

Istilah data mining sudah berkembang jauh dalam mengadaptasi setiap bentuk analisa data, penelitian ini berupaya mengembangkan strategi bisnis penyusunan layout produk yang disesuaikan dengan pola pembelian pelanggan di indomaret. Salah satu teknik data mining yang digunakan untuk merancang strategi penyusunan layout produk yang efektif dengan memanfaatkan data transaksi penjualan yang telah tersedia di perusahaan dengan menggunakan metode association rule. Teknik ini dapat menemukan pola berupa produk-produk yang sering dibeli secara bersamaan. Penelitian ini bertujan untuk menerapkan associstion rule kedalam penyusunan layout produk. Dari rule yang dihasilkan harapkan dapat membantu perusahaan memudahkan dalam penyusunan layout produk.

PENENTUAN STRATEGI PROMOSI UNIVERSITAS BUDI DARMA MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING Silalahi, Natalia
TIN: Terapan Informatika Nusantara Vol 1 No 1 (2020): Juni 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (377.085 KB)

Budi Darma University is one of the Private Universities (PTS) in the city of Medan, which is inseparable from promotional activities every year. Promotional activities carried out by Budi Darma University use a large enough cost so that the promotion carried out is also expected to get maximum results. The success of the promotion can be seen from the large number of students enrolling in the new school year. A successful promotion can be seen from the promotion strategy used, determining the promotion strategy is not an easy job because it must consider several aspects. To help determine the promotion strategy at Budi Darma University can use data mining, where data mining can find a new pattern of stored data sets. One of the techniques used in data mining is clustering technique with the algorithm used is K-Means. By using the K-Means algorithm the results are divided into 3 clusters where in each cluster the results can be seen to determine the promotion strategy

Decision Support System for The Selection of North Sumatra Atlet Drumband By Applying Elimination and Choice Translation Reality (ELECTRE) (Case Study: United States of Drumband Indonesia North Sumatra Region) Sunaryo, S; Silalahi, Natalia; Mesran, M; Nasution, Surya Darma; Ginting, Guidio Leonarde
IJISTECH (International Journal of Information System & Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Unity Drumband Indonesia (PDBI) Region of North Sumatra is an organizational body engaged in sports groups, which involves players in various musical instruments. In selecting players, PDBI North Sumatra through the committee to conduct strict selection, through a judging system with several stages of a rigorous process. From the selection of participants, compare each criterion one by one to get the best athletes. Implementation of decision support systems is expected to provide the right solution and can assist the jury in generating a decision. Thus the process of selecting athletes can produce a decision directly without a long time. So that accelerate the selection process of drum band athletes who will strengthen the team of North Sumatra. The Elimination and Choice Translation Reality (ELECTRE) method is required in decision support systems for the selection of drum band athletes who will strengthen the North Sumatra team.

Sistem Pendukung Keputusan Seleksi Penerima Beasiswa Menerapkan Metode Weighted Aggregated Sum Product Assessment (WASPAS) Silalahi, Natalia; Tambusai, Robbi; Mesran, Mesran; Sarwandi, Sarwandi; Siagian, Meryance V
TIN: Terapan Informatika Nusantara Vol 2 No 4 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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

Scholarship is financial assistance given to every student or student with the aim of helping the education that will be taken. Scholarships are usually given by government agencies, foundations, or private companies or state-owned companies. To determine scholarship recipients, there are many criteria that must be possessed by individuals as a society to get scholarships. Each school must have criteria to determine who will be selected to receive the scholarship. The distribution of scholarships is carried out by several agencies to help someone who is underprivileged or has high achievements during their studies. To determine the scholarship recipients, several methods can be used, in this case the author uses the Weight Aggreated Sum Product Assessment (WASPAS) method for scholarship recipients to students. In the WASPAS method, it is considered appropriate for the selection of scholarship recipients because the WASPAS method will carry out a chaining process based on attributes with a weight for each attribute, then a ranking process is carried out which will determine the optimal alternative for the selection of scholarship recipients

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.

PENGEMBANGAN MATERI PELAJARAN SENI MUSIK DI SD DALAM RANGKA LITERASI MANUSIA UNTUK MENDUKUNG KURIKULUM OBE (OUTCOME BASE EDUCATION) BERBASIS CASE METHODE Afriadi, Putra; Simanjuntak, Eva Betty; Silalahi, Natalia
SCHOOL EDUCATION JOURNAL PGSD FIP UNIMED Vol 13, No 4 (2023): SHOOL EDUCATION JOURNAL PGSD FIP UNIMED
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/sejpgsd.v13i4.54299

This article discusses strategies for developing music teaching materials that do not only focus on artistic aspects, but also consider human literacy as a key element in the learning process. Learning the art of music is not only a place to develop artistic skills, but also as a means to improve students' reading, writing and critical thinking abilities. In the context of the OBE Curriculum, the Case Method approach is used to present contextual and relevant learning. Case studies in learning the art of music not only cover technical aspects, but also relate them to real situations that allow students to apply their knowledge in the context of everyday life. The research results show that the development of music art teaching materials that combine human literacy and the Case Method can increase learning effectiveness. Students not only master musical arts skills, but also develop a deeper understanding of the relationship between musical arts and everyday life. This research contributes to the development of the music arts curriculum in elementary schools by strengthening the integration of human literacy in music arts learning.

Stimulasi Kemampuan Berpikir Komputasional pada Anak Usia Dini di Era Digital Sipahutar, Rini Juliana; Silalahi, Natalia
Jurnal Usia Dini Vol 10, No 1 (2024): Juni 2024
Publisher : PG PAUD FIP UNIMED

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jud.v10i1.60800

Di era digital, kemampuan berpikir komputasional adalah keterampilan fundamental yang harus dikembangkan sejak usia dini. Anak-anak yang familiar dengan teknologi cenderung lebih mudah memahami konsep dasar komputasi seperti algoritma, logika, dan pemecahan masalah. Penggunaan alat bantu digital dan aktivitas bermain yang dirancang secara khusus dapat secara signifikan menstimulasi kemampuan berpikir komputasional. Oleh karena itu, penting bagi para pendidik dan orang tua untuk secara strategis mengintegrasikan teknologi dan kegiatan komputasional ke dalam pendidikan anak usia dini. Penelitian ini bertujuan untuk mengeksplorasi bentuk kegiatan dan media yang dapat digunakan dalam melatih kemampuan berpikir komputasional. Penelitian ini merupakan systematic literature review dengan pendekatan PRISMA. Literatur didapatkan dari berbagai perpustakaan digital seperti Google Scholar, Scopus, ResearchGate dan Springer yang terbit di antara 2018-2024. Berdasarkan 6 naskah terpilih, disebutkan bahwa terdapat berbagai kegiatan seperti permainan konvensional dan pemrograman yang digunakan untuk menstimulasi kemampuan berpikir komputasional. Media yang digunakan antara lain building block, visual programming application dan robot.

Co-Authors Afriadi, Putra Areysia, Angel Aulia, Chesia 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 Jauharotun Ramadhani Ahmad S. Maharani Maharani, Maharani Manullang, Laura Manurung, Imelda Free Unita Marpaung, July Yanti Melly Br Bangun Mesran, Mesran Mutiah Mutiah Nelly Astuti Hasibuan Norin, Azizi Zahwa Nur Hudayah, Nur Nurdiyanto, Heri 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 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 Unita Manurung, Imelda Free Wildansyah lubis, Wildansyah Yuhandri Yuhandri, Yuhandri Zalukhu, Cwisan Angeltri

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