Articles

Penerapan Linear Congruent Method Pada Game Edukasi Tebak Huruf Hiragana Dan Katakana Berbasis Android Adha, Khairul; Mesran, Mesran; Murdani, Murdani
Jurnal TIMES Vol 6, No 1 (2017)
Publisher : STMIK TIME

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Abstract

Dengan perkembangan game yang semakin pesat, salah satunya adalah game edukasi. Tujuan pembuatan sebuah game edukasi antara lain education (mendidik). Game ini akan lebih diutamakan untuk mendukung proses pembelajaran dengan konsep “Bermain sambil belajar”. Siswa masih banyak yang menganggap mata pelajaran bahasa Jepang sulit untuk dimengerti khususnya huruf Hiragana dan Katakana. Sarana pembelajaran untuk berlatih membaca dan menghapal masih sedikit sehingga banyak siswa mengalami kesulitan belajar. Game edukasi pada perangkat mobile merupakan sarana pembelajaran baru yang dinilai dapat lebih menarik minat seseorang untuk belajar. Metode yang digunakan dalam penelitian ini adalah Metode Linear Congruent Method (LCM) merupakan metode pembangkitkan bilangan acak semu dimana dalam pembangkitan bilangannya menggunakan operasi-operasi aritmatika. Metode ini dapat diterapkan di berbagai bidang salah satunya adalah dalam pengacakan urutan soal. Hasil dari penelitian ini adalah sebuah aplikasi Game Tebak Huruf Hiragana dan Katakana Berbasis Android menggunakan metode LCM, di buat menggunakan aplikasi Adobe Flash Profesional CS6 dengan bahasa pemograman ActionScript 3.0 (AS3). Dibuat bertujuan memudahkan pembelajaran bahasa Jepang dalam mengingat dan membedakan bentuk huruf Hiragana dan Katakana. Materi yang disisipkan dalam game bersumber dari buku Tanoshii Nihongo 1 pokok bahasan Aksara bahasa jepang.
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

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Abstract

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.  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  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  dengan 2 periode.
Analisa Perbandingan Boyer Moore Dan Knuth Morris Pratt Dalam Pencarian Judul Buku Menerapkan Metode Perbandingan Eksponensial Fau, Alwin; Mesran, Mesran; Ginting, Guidio Leonarde
Jurnal TIMES Vol 6, No 1 (2017)
Publisher : STMIK TIME

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Abstract

Analisa adalah merupakan suatu proses merinci terhadap objek dengan alat bantu tertentu, kedalam beberapa komponen yang saling berhubungan dengan menilai dan mengetahui perbedaan dari kedua objek tersebut yang berbeda. Dalam proses pencarian ada beberapa algortima yang dibutuhkan untuk menyelesaikan masalah yang sedang dihadapi. Adapun permasalahannya yaitu dalam proses pencarian judul buku pada perpustakaan Perpustakaan STMIK Budidarma Medan dimana proses pencarian yang dilakukan masih membutuhkan waktu yang sangat lama. String matching adalah proses pencarian semua kemunculan query yang selanjutnya disebut pattern kedalam string yang lebih panjang (teks). Algortima adalah urutan atau langkah-langkah yang disusun secara sistematis untuk myelesaikan sebuah masalah. Adapun algortima yang digunakan dalam menyelesaiakan masalah tersebut yaitu Algortima boyer moore dan algortima knuth morris pratt (KMP). Algortima boyer moore adalah sebuah algortima pencarian yang dimana proses atau cara pencariannnya dilakukan dari kanan pattern sehingga hasil pecarian lebih cepat ditemukan. Algortima Knuth morris pratt (KMP) adalah sebuah algoritma pencarian string yang bekerja dengan memanfaatkan pergeseran pattern dalam teks dari sebeleh kiri kekanan dalam melakukan pencocokan pattern dalam teks. Analisa dalam perbandingan dari kedua algortima pada penelitian ini dilakukan untuk mengetahui algoritma yang mana proses pencarian dan cara kerjanya lebih cepat dengan memanfaatkan metode perbandingan eksponensial (MPE) sebagai metode pengambilan keputusan dalam menentukan hasil perbandingannya.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN BUAH RAMBUTAN DENGAN KUALITAS TERBAIK MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) Zai, Yosa`aro; Mesran, Mesran; Buulolo, Efori
MEDIA INFORMATIKA BUDIDARMA Vol 1, No 1 (2017): Maret 2017
Publisher : STMIK Budi Darma

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Abstract

Decision support systems are generally defined as a system capable of producing solutions and problem-solving. Decision support systems are not intended to replace decision-making roles, but to assist and support decision makers. In the role of decision support systems in the overall context of information systems aimed at improving performance through the application of information technology and determine the approach used in the decision-making process, to evaluate the interactive selection. One of the most commonly used methods in decision support systems is the Weighted Product (WP) method.
DATA MINING UNTUK MEMPREDIKSI JENIS TRANSAKSI NASABAH PADA KOPERASI SIMPAN PINJAM DENGAN ALGORITMA C4.5 Widayu, Hikma; Nasution, Surya Darma; Silalahi, Natalia; Mesran, Mesran
MEDIA INFORMATIKA BUDIDARMA Vol 1, No 2 (2017): Juni 2017
Publisher : STMIK Budi Darma

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Abstract

In the field of business, data mining techniques are used to support a wide range of business intelligence applications such as customer profiling, targeted marketing, workflow management, store layout and fraud detection. Lack of predicting the type of Customer Transactions that exist in this cooperative makes the manager or leader of this cooperative difficult in terms of providing loans and also in accepting new cooperative members. Leaders also have difficulties in knowing the profession of customers who borrow the most at this cooperative. As for the process of predicting the type of Customer Transaction during this time, there is a saving and loan operation is still based on the direct view of the type of Customer Transaction and see the existing ledger notes of the cooperative.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN BERPRESTASI DENGAN MENGGUNAKAN METODE ANALYTICAL HIEARARCHY PROCESS (Studi Kasus : PT.Capella Dinamik Nusantara Takengon) Safitri, Kamalia; Waruwu, Fince Tinus; Mesran, Mesran
MEDIA INFORMATIKA BUDIDARMA Vol 1, No 1 (2017): Maret 2017
Publisher : STMIK Budi Darma

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Abstract

Employee is a supporting factor in a company, because with the existence of employees who have company qualification standards then the productivity of the company must be maintained and increasing. To obtain information quickly and accurately the achievement of appropriate employees meet the expected criteria, required a decision support system selection of outstanding employees. To know this, with a multi-criteria decision-making method by solving complex and unstructured situations into sections and arranging them in the hierarchy. By using Analytical Hierarchy Process (AHP) method on Decision Support System, the determination of achievement employees can be calculated based on the calculation of each criterions weight, so it can select the employee achievement in the company quickly.
RANCANGAN PENDUKUNG KEPUTUSAN PEMILIHAN TELEVISI BERLANGGANAN MENERAPKAN METODE ANALYTICAL HIERARCHY PROCESS(AHP) Irfan, Muhammad; Mesran, Mesran; Siregar, Dodi; Suginam, Suginam
MEDIA INFORMATIKA BUDIDARMA Vol 1, No 2 (2017): Juni 2017
Publisher : STMIK Budi Darma

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Abstract

Television subscription is a product of one of the todays technological developments. Television subscription is a television broadcasting service that is made specifically for viewers who are willing to pay (subscribe) on a regular basis. The number of subscription television products add to the vibrant entertainment business through the glass screen media, before the public only recognize free to air television that can be enjoyed for free. Currently, in some major cities, a number of pay-TV operators compete for customers by offering a variety of exciting television entertainment programs such as news, education, music, movies and so on. This makes it difficult for customers to choose the best television subscription option in providing their services. Implementation of decision support system in the selection of television subscription and using Analytical Hierarchy Process method known as AHP is expected to give the best decision result. Analytical Hierarchy Process is a process of developing a numerical score to streamline alternative decisions based on how each alternative fits the criteria.
PENERAPAN TECHNIQUE FOR ORDERS PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) UNTUK KEPUTUSAN PEMBERIAN KREDIT PADA CALON NASABAH (Studi Kasus : PT. SS Finance) Zai, Yustinus; Mesran, Mesran; Nadeak, Berto; Saputra, Imam
MEDIA INFORMATIKA BUDIDARMA Vol 1, No 1 (2017): Maret 2017
Publisher : STMIK Budi Darma

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Abstract

The existence of credit activities in a bank or company, certainly is one of the advantages for the bank or company, including the customer. In crediting the need for an assessment as a consideration for a prospective customer before the bank decides whether to accept or reject the request of a prospective customer. This is done, considering the risk of uncollectible on the customer is quite large. In order to assist in determining whether a person is eligible to receive a loan, a decision support system is required. One method that can be used for decision support systems is to use TOPSIS. In this research will be discussed a case in finding the best prospective customer alternative based on predetermined criteria by using Techniques For Order Preference By Similarity To Ideal Solution (TOPSIS) method to calculate the eligibility of the prospective customer
Sistem Pendukung Keputusan Pemilihan Peserta Jaminan Kesehatan Masyarakat (Jamkesmas) Menerapkan Metode MOORA Mesran, Mesran; Pardede, Swandi Dedi Arnold; Harahap, Arahman; Siahaan, Andysah Putera Utama
MEDIA INFORMATIKA BUDIDARMA Vol 2, No 2 (2018): Apriil 2018
Publisher : STMIK Budi Darma

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Abstract

Decision support system as a computer-based system consisting of components, among other components of the language system (language), components of knowledge systems (knowledge) and components of the problem processing system (problem processing) which interact with each other, which helps decision making through the use of data and decision models to solve problems that are semi-structured and unstructured. This study uses the MOORA Method in determining who is entitled to become participants Jamkesmas based on criteria by using a formula that results more accurate and targeted.
Sistem Pendukung Keputusan Pengangkatan Guru Tetap Menerapkan Metode Weight Aggregated Sum Product Assesment (WASPAS) Barus, Safrizal; Sitorus, Vera Meikana; Napitupulu, Darmawan; Mesran, Mesran; Supiyandi, Supiyandi
MEDIA INFORMATIKA BUDIDARMA Vol 2, No 2 (2018): Apriil 2018
Publisher : STMIK Budi Darma

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Abstract

Evaluation of honorary teachers is an activity that is generally high school or vocational. It is useful to know the results of teaching honorary teachers to their students. Assessment, evaluation and rewarding can be done to spur the performance of the teachers in teaching and learning process so as to improve teacher achievement, the assessment is done to obtain the honorable teachers who will be appointed as permanent teachers. In determining the order of permanent appointment of teachers, it often appears subjective from the decision-makers, so that there are problems and this causes the difficulty in determining prospective teachers. To determine the recommendation of the teacher can still be used the method of Weight Aggregated Sum Production Assessment (WASPAS). WASPAS method can be used to process the honorarium of honor teachers with the criteria that have been determined.
Co-Authors Afriany, Joli Agus Perdana Windarto, Agus Perdana Akbar Iskandar, Akbar Al-Hafiz, Nofri Wandi Alwin Fau, Alwin Andini, Tiara Andysah Putera Utama Siahaan, Andysah Putera Utama Anisa Anisa Anita, Selpi Arifin, Soeb Ariska, Melinda Assrani, Dwika Barus, Safrizal Berto Nadeak, Berto Butarbutar, Lambok Harry OA Dahanum, Ismay Darmawan Napitupulu, Darmawan Dodi Siregar Efori Buulolo, Efori Fachrurrazi Fachrurrazi Fince Tinus Waruwu, Fince Tinus Ginting, Permanan Guidio Leonarde Ginting, Guidio Leonarde Handoko, Dikki Harahap, Arahman Hari Utari, Hari Hasmi, Mentari Ananda Hayati, Soraya Rahma Heri Nurdiyanto, Heri Hikma Widayu, Hikma Hildayani, Suci Hutabarat, Sumiaty Adelina Hutagalung, Siti Nurhabibah Hutapea, Betrik J Imam Saputra Imelda Sinaga, Imelda Irma Irma Iswanti, Niki Kamalia Safitri, Kamalia Khairul Adha, Khairul Khasanah Khasanah Khoirul Umam Lubis, Ikhwan Lubis, Utami Rahma Sari Maharani Maharani, Maharani Miranda, Rina Mizwar, Tedi Muhammad Irfan Murdani Murdani, Murdani Natalia Silalahi, Natalia Nelly Astuti Hasibuan, Nelly Astuti Nuning Kurniasih Nurhabibah, Siti Nurul Huda Panjaitan, Melda Pardede, Swandi Dedi Arnold Pratidina, Ageng Puspita Pristiwanto, Pristiwanto Pristiwanto, Pristiwanto Putri Ramadhani, Putri Ramadhan, Puji S Ramadhan, Saidi Rohminatin, Rohminatin Rusiana Rusiana, Rusiana Sagala, Gamrina Sari, Sri Indah Siahaan, Andsyah Putera Utama Siahaan, Martina Klarasia Sianturi, Lince Tomoria Sianturi, Maringan Sianturi, Maringan Sianturi, Putri Sianturi, Ronda Deli Sianturi, Ronda Deli Siburian, Henry Kristian Sidabutar, Rudi Sihite, Tessa Y M Sihombing, Dormian Silalahi, Yohanna Simanjuntak, Lidia K Simanjuntak, Lidia Kristiani Simanjuntak, Paulus Simarmata, Janner Siregar, Agnes Sitompul, Noferianto Sitorus, Vera Meikana Situmorang, Hotmelinsa Situmorang, Pandia Gunawan Soeb Aripin, Soeb Solihin, Imam Sri Wulan, Sri Suginam Suginam, Suginam Sulastri, Varian Eva Supiyandi Supiyandi, Supiyandi Surya Darma Nasution, Surya Darma Sutiksno, Dian Utami Sutrikanti, Nidia Syahputra, Fajar Tampubolon, Kennedi Tanjung, Nur Sakinah Taronisokhi Zebua, Taronisokhi Try Wahyudi, Try Yosa`aro Zai, Yosa`aro Yuhandri Yuhandri, Yuhandri Yustinus Zai, Yustinus