Articles
Penerapan Metode Weight Product (WP) Untuk Menentukan Pengalokasian Pendistribusian Telur Terbaik Di Kecamatan Pantai Labu
Prawita Ardella;
Paska Marto Hasugian
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah
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DOI: 10.32672/jnkti.v4i1.2669
Distribution is an important thing in business activities, especially for distribution companies or distributors. Delays in distribution will reduce customer service levels. The method used is WP (Weighted Product), because Weighted product is one of the right choice of method to solve complex problems and Weighted Product can produce structured calculations on problems that have sub-sub-criteria for the decision to be built. from this research is to determine the best egg distribution location in the pumpkin beach district using the Weighted Product (WP) method. The Weighted Product (WP) method is a multi-criteria analysis decision and is a multi-criteria decision-making method. WP is a set of alternative decisions described in terms of several criteria. In the WP method there is no need for matrix manipulation because this method multiplies the assessment results of each attribute. The results of the research are based on the results of the ranking using the Weighted Product (WP) method to determine the best distribution location in the pumpkin beach district, so the greatest value is Grosir 2 with a value of 0.2309 which can be chosen to be the best distribution location. weights so that they can be used with that method.
Enkripsi Database Sekolah SMK Pembangunan Dengan Algoritma IDEA
Devlin Iskandar Saragih;
Paska Marto Hasugian
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah
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DOI: 10.32672/jnkti.v4i1.2704
One of the algorithms in cryptography that can be used for school database security is the IDEA (International Data Encryption Algorithm) algorithm. The IDEA algorithm is one of the cryptographic algorithms that has various applications in secure data transmission in the scope of networks and distributed measurement systems. Encryption results appear in the form of a notepad. The Open data button is used to find data that will be used for the encryption process. The key checklist is used to input the key length that will be used for the encryption decryption security process. The system displays the IDEA Cryptographic key, can use the IDEA Cryptographic key, the encryption and decryption change process is clearly visible. Encryption is done on the SMK Pembangunan school database with IDEA algorithm and designing the student database encryption application based on the name of the SMK Pembangunan using Visual Basic programming language.
Sistem Pendukung Keputusan Menentukan Tingkat Resiko Penjualan Online Dengan Menggunakan Metode TOPSIS
Yosapat Sembiring;
Paska Marto Hasugian
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah
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DOI: 10.32672/jnkti.v4i1.2660
At this time many people have started selling online. Even though only with makeshift items to make online sales, not a few people have succeeded in making these online sales. The TOPSIS method is one of the multicriteria decision-making methods, this method is one that is widely used to complete practical decision making. The more factors that must be considered in the decision making process, the more difficult it will be to make a decision on an issue. identification of research problems is the application of the DSS in determining the level of risk of online sales. This system was built using the PHP programming language with data management using the MySQL database. Rank results 1. Furniture = 0.8062 2.Electronics = 0.5810 3. Fashion = 0.1230
Implementasi Algoritma Simple Hill Climbing Pada Aplikasi Game Tts (Teka – Teki Silang)
Paska Marto Hasugian
Jurnal Mantik Penusa Vol. 19 No. 1 (2016): Jurnal Mantik Penusa
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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Seiring dengan perkembangan ilmu pengetahuan dan teknologi, maka salah satu cara untuk mencapai tujuan tersebut adalah dengan optimasi. Optimasi adalah pencarian nilai-nilai variable yang dianggap optimal untuk mencapai hasil yang diinginkan. Masalah optimasi adalah dengan cara memaksimumkan pengisian ruang-ruang kosong. Untuk memecahkan masalah optimasi tersebut, tentunya diperlukan algoritma yang handal. Kajian ini bertujuan untuk membuat sebuah aplikasi optimasi yaitu pembuatan teka-teki silang dengan menggunakan algoritma simple hill climbing. Algoritma Simple Hill Climbing adalah salah satu metode dari sekian banyak metode kecerdasan buatan untuk menyelesaikan permasalahan optimasi. Karena algoritmanya yang cukup sederhana, metode Hill Climbing telah banyak diterapkan dalam berbagai aplikasi. Disamping itu metode hill climbing juga mengefisienkan penggunaan memori yang besar. Dengan menggunakan Algoritma Simple Hill Climbing, maka aplikasi ini bertujuan untuk mempermudah dalam membuat teka-teki silang dengan pertanyaan-pertanyaan yang dapat ditentukan sendiri oleh pengguna.Kata Kunci : Simple Hill Climbing, TTS
Analisa Dan Implementasi Algoritma Bellman Ford Dalam Mnentukan Jalur Terpendek Pengantaran Barang Dalam Kota
Paska Marto Hasugian
Jurnal Mantik Penusa Vol. 18 No. 2 (2015): Jurnal Mantik Penusa
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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Dalam penelitian ini di lakukan penerapan perhitungan metode Bellman-Ford yang bertujuan untuk mencari jalur terpendek menuju JNE kota medan. Metode Bellman-Ford tersebut menghitung semua jalur dari tempat asal ke tempat tujuan yang terbentuk dalam suatu graf agar di temukan jalur terpendek berdasarkan data yang di dapat dari peta dan GPS, data-data tersebut yaitu jarak jalan, titik persimpangan jalan dan koordinat tempat asal dan tujuan. Dengan simulasi perhitungan dengan mengambil peta dari Open street map yang di dalamnya terdapat informasi jarak jalan, titik persimpangan jalan, koordinat tempat asal dan tujuan. Metode Bellman-Ford ini menghitung jumlah jarak jalan antara tempat asal dengan beberapa persimpangan jalan yang akan dilaluinya pertama kali dengan nilai paling terkecil sehingga akan mengetahui jalan mana yang akan dipilih selanjutnya, dan persimpagan terpilih sebagai titik awal perhitungan yang berikutnya. proses perhitungan tersebut akan diulang sejumlah titik persimpangan yang ada sampai mendapatkan jumlah jarak jalan terpendek menuju tempat tujuan. Dari proses simulasi, bahwa metode Bellman-Ford bisa digunakan untuk menentukan jalur terpendek. Kata Kunci: Jalur Terpendek, Bellman-Ford, JNE, peta
Pengujian Algoritma C 4.5 Dengan Aplikasi Weka Dalam Pembentukan Pohon Keputusan
Paska Marto Hasugian
Jurnal Mantik Penusa Vol. 22 No. 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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C4.5 adalah salah satu algoritma yang digunakan untuk melakukan klasifikasi segmentasi ataupun pengelompokan yang bersifat prediktif, Algoritma C 4.5 Memiliki Kelebihan dalam mengolah data numerik (kontinyu) dan diskrit, dapat menangani nilai atribut yang hilang, menghasilkan aturan-aturan yang mudah diintrepetasikan dan tercepat diantara algoritma-algoritma yang lain. Keakuratan prediksi yaitu kemampuan model untuk dapat memprediksi label kelas terhadap data baru atau yang belum diketahui sebelumnya dengan baik. Dalam hal kecepatan atau efisiensi waktu komputasi yang diperlukan untuk membuat dan menggunakan model. Aplikasi yang digunakan adalah Weka 3.8 dikarenakan dalam aplikasi sudah tersedia arsitektur C 4.5.
Pengujian Algoritma Apriori Dengan Aplikasi Weka Dalam Pembentukan Asosiation Rule
Paska Marto Hasugian
Jurnal Mantik Penusa Vol. 1 No. 2 (2017): Jurnal Mantik Penusa
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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Market Basket Analysis adalah Analisis dari kebiasaan membeli customer dengan mencari asosiasi dan korelasi antara item-item berbeda yang diletakkan customer dalam keranjang belanjaannya. Fungsi ini paling banyak digunakan untuk menganalisa data dalam rangka keperluan strategi pemasaran, desain katalog, dan proses pembuatan keputusan bisnis. Tipe association rule bisa dinyatakan dengan persentasi terhadap banyaknya aktifitas yang terjadi dalam kurun waktu tertentu, dalam penelititan dilakukan pengujian terhadap algoritma dalam pembentukan rule dengan menggunakan aplikasi weka, data yang digunakan dengan inisial.
Village Status Grouping Analysis Using Agglomerative Hierarchical Clustering (AHC): Village Status Grouping Analysis Using Agglomerative Hierarchical Clustering (AHC)
Paska Marto Hasugian
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)
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DOI: 10.35335/mantik.Vol4.2020.878.pp950-955
increasing the standard of living of the community, both materially and spiritually. Careful development planning can create a development that is right on target. One of the supporting aspects of development planning is the availability of detailed data at the smallest area level. Information to the smallest area can be used as a guide in making policies that are more targeted. The village as a government that is directly in contact with the community is the main focus in government development, this is because most of Indonesia's territory is in rural areas which are directly under the auspices of the PDTT Ministry (Ministry of Villages, Disadvantaged Village Development, and Transmigration), to carry out their duties and The responsibility for village development has been assessed in establishing a village classification based on the building village index to convert an underdeveloped village into a developed or independent village which is assessed based on certain sectors through a very long and certainly sustainable process. Determination of classification is based on the village index value build (IDM) based on the average Ecological Resilience Index (IKL), Economic Resilience Index (IKE), and Social Resilience Index (IKS). From the IDM value, the villages will be classified in the status of villages namely independent villages, Advanced, Developing, Underdeveloped, and Very Underdeveloped
Frequent Pattern Growth for Predicting the Pattern of Office Stationery Needs
Paska Marto Hasugian;
Fenius Halawa;
Dharma Rajen Kartighaiyab
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)
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One of the supporters of operational activities from the agency is ATK (Office Stationery), work will be constrained if these components are not available, as well as STMIK Pelita Nusantara requires ATK to be used every day starting from study programs, institutions, finance and other units. The problem in this research is that the accumulation of ATK purchase data has never been used or analyzed. With this problem, the researcher wants to perform an extraction on the available data so that knowledge is found in the form of predictions in the form of patterns of ATK needs. For the problem solving process, Frequent Pattern-Growth (FP-Growth) is used. FP-Growth is an alternative algorithm that can be used to determine the data set that appears most frequently (frequent itemset) in a data set. The FP-Growth algorithm is an algorithm that is very efficient in searching for frequent itemset. FP-Growth uses a different approach from the algorithm that is often used, namely the a priori algorithm. This algorithm stores information about frequent itemset in the form of FP-Tree. The FP-Tree that is formed can take advantage of transaction data that has the same item so that it can reduce repeated database scans in the mining process and can take place more quickly. FP-Growth uses a different approach from the algorithm that is often used, namely the a priori algorithm. This algorithm stores information about frequent itemset in the form of FP-Tree. The FP-Tree that is formed can take advantage of transaction data that has the same item so that it can reduce repeated database scans in the mining process and can take place more quickly. FP-Growth uses a different approach from the algorithm that is often used, namely the a priori algorithm. This algorithm stores information about frequent itemset in the form of FP-Tree. The FP-Tree that is formed can take advantage of transaction data that has the same item so that it can reduce repeated database scans in the mining process and can take place more quickly..
PROTOTYPE PENGEMBANGAN MODEL INKUIRI BERBASIS MULTIMEDIA INTERAKTIF PADA MATA PELAJARAN IPA TERPADU TINGKAT SMP
Paska Marto Hasugian
JURIKOM (Jurnal Riset Komputer) Vol 3, No 1 (2016): Februari 2016
Publisher : STMIK Budi Darma
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DOI: 10.30865/jurikom.v3i1.64
Penelitian ini bertujuan untuk Mengembangkan model Inkuiri, dengan kombinasi multimedia interaktif pada mata pelajaran ipa terpadu. jenis penelitian ini merupakan Research and Development (R&D) dengan metode pengembangan menggunakan model waterfall. Pengembangan media pembelajaran berbasis multimedia dengan empat tahap, yaitu : 1) Analisis Kebutuhan, 2) Desain, 3) Implementasi, dan 4) Pengujian. Penentuan tingkat kelayakan media pembelajaran berbasis multimedia berdasarkan uji validasi para ahli dan uji coba kepada siswa melalui angket dan uji kepakaran. Kata Kunci : Pembelajaran, Inkuiri, multimedia, interaktif