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Jurnal Nasional Komputasi dan Teknologi Informasi
ISSN : 26208342     EISSN : 26213052     DOI : https://doi.org/10.32672/jnkti.v6i6
Jurnal Nasional Komputasi dan Teknologi Informasi adalah jurnal nasional yang diterbitkan oleh Program Studi Teknik Komputer Universitas Serambi Mekkah tahun 2018 dan telah Terakreditasi SINTA 5. Jurnal ini terbit sebanyak enam edisi dalam satu tahun yaitu setiap bulan Februari, April, Juni, Agustus, Oktober dan Desember baik cetak (P-ISSN : 2620-8342) dan online (E-ISSN: 2621-3052). Jurnal ini mempublikasikan artikel-artikel ilmiah yang berkaitan dengan bidang Komputer dan Teknologi Informasi dengan scope Rekayasa Perangkat Lunak, Sistem Informasi, Jaringan Komputer, Elektronika dan Sistem Kontrol, Multimedia dan Pengolahan Citrat Digital serta bidang Komputer dan Informatika lainnya yang relevan. Artikel yang dikirimkan ke JNKTI dapat ditulis dalam Bahasa Indonesia atau Bahasa Inggris. Setiap artikel yang dipublikasi dalam jurnal ini akan direview terlebih dahulu dengan metode Peer-Review dan hanya artikel yang memenuhi syarat yang akan dipublikasikan. Artikel-artikel yang telah dipublikasikan oleh JNKTI juga sudah diindeks oleh beberapa lembaga indeksasi seperti Google Scholar, Garuda, CrossRef, BASE, Moraref dan SINTA. Bidang bidang fokus penelitian yang akan dipublikasi dalam jurnal ini antara lain : Bidang Rekayasa Perangkat Lunak Bidang Jaringan Komputer Bidang Multimedia dan Pengolahan Citra Digital Bidang Komputasi Bidang Sistem dan Teknologi Informasi Bidang Kecerdasan Buatan Multidisiplin ilmu lainnya yang relevan
Articles 38 Documents
Search results for , issue "Vol 4, No 1 (2021): Februari 2021" : 38 Documents clear
Sistem Pendukung Keputusan Menentukan Pemutusan Hubungan Kerja Karyawan CV. Biring Ndu Cahaya Panglong Dengan Metode AHP Eko Lianto Damanik; R Mahdalena Simanjorang
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i1.2659

Abstract

CV Biring Ndu Cahaya Panglong is a company that sells various types of building materials and equipment, located in Tanah Merah village, Dusun II Pendukuan, Galang District. Currently CV. Biring Ndu Cahaya Panglong does not have an information system that is able to assist in managing employee data. The employee data includes all data related to employee control activities. The AHP method is one of the methods in decision support systems that is unique compared to the others. There are 10 alternative names and 5 criteria in determining layoffs, namely negligence in work (C1), absenteeism (C2), theft of goods (C3), not neat (C4), spreading company disgrace (C5). The results obtained from this study with the highest score is Arya Sinaga with a value of 0.272 which indicates that the alternative with the highest ranking will be dismissed from work. 
Sistem Pendukung Keputusan Penentuan Tingkat Kecanduan Masyarakat Terhadap Rokok dengan Metode Fuzzy Mamdani Daniel Andre Marpaung; Murni Marbun
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i1.2748

Abstract

A person's addiction to smoking can be seen from the characteristics of the cigarette addict, including: difficulty controlling the desire to smoke, high appetite, frequent coughing, sleep disturbances, and difficulty concentrating. A person's addiction to cigarettes can have a bad impact on the health of that person. The research used the Fuzzy Mamdani method. The system was built using the Hypertext Preprocessor (PHP) programming language. The database management system uses My Structured Query Language (MYSQL). The criteria for the level of community addiction to cigarettes are cost, smoking frequency, and the environment. This study aims to design a Decision Support System for determining the level of community addiction to smoking and applying the Fuzzy Mamdani method for determining the level of community addiction to cigarettes. So it can be concluded that the person's level of addiction is at number 13 or categorized as CANDU. 
Sistem Pendukung Keputusan Pemberian Bantuan Kepada Keluarga Kurang Mampu Menggunakan Metode AHP Bobby Gersonta Ginting; Fricles A Sianturi
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i1.2674

Abstract

Poverty is a problem that is still faced by several countries in the world, especially in Indonesia. Poverty is a condition / condition of the inability of individuals / groups of people to meet the necessities of life, both physical and economic conditions. The system of providing assistance carried out by the Social Service of North Sumatra Province uses the Analytical Hierarchy Process method. The method used in this aid system is the Analytical Hierarchy Process method in the Social Service of North Sumatra Province. The results of the weighted assumptions for each criterion are relative in nature. The criteria used in determining the receipt of assistance are job criteria, income criteria, nutritional consumption criteria (chicken, meat, milk), criteria for sources of information, criteria for medical ability, criteria for the last education of the head of the family. The method used in this research is the AHP method. AHP method is one of the methods used in the Decision Support System to determine the provision of this assistance is the Analytical Hierarchy Process (AHP). After getting the consistency index value, then look for the consistency ratio value (CR) by dividing the consistency index by the consistency random index (RI), namely CR = C1 / R1 CR = 0.09975 / 1.24 = 0.0891, the requirement for consistency CR 0.1 then the CR value that is obtained from the comparison above it is consistent.
Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Analisis Keranjang Belanja Pada Transaksi Penjualan Pada PT Madu Kembang Joyo Nasib Ratna Sari Purba; Fristi Riandari
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i1.2745

Abstract

In the sale of goods (products), companies often experience problems because of the irregular level of consumer spending. Determination of product layout is done to make it easier for consumers to find honey products so as not to disappoint consumers in finding the location of which products are suitable to be combined with other products that are often in demand by consumers, so that consumers can save time. Based on the problems faced by the company, data mining analysis tools are needed. Currently, the utilization of data that is owned is not fully maximized, it is limited to making reports. The problem of research is the accumulation of unused transaction data, the difficulty of placing products according to consumer needs. The absence of an effective product sales strategy. The application is built using the PHP programming language with the MySQL database. The data used for shopping cart analysis on the sales transaction of Joyo Flower Honey is 1 month transaction data. The combination of items with the highest support x confidence value will be used as a combination to determine the placement of the suitable item to be connected between the two products that consumers are most interested in. In addition, the combination of these items can be used by management to position the product on the shelf which will make it easier for consumers to find the product they need.
Implementasi Logika Fuzzy dalam Memprediksi Tingkat Kelulusan Tes Seleksi CPNS dengan Menggunakan Metode Tsukamoto Romantika Tambunan; Murni Marbun
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i1.2750

Abstract

Applicants who take part in the selection of Candidates for Civil Servant Candidates (CPNS) must pass through the steps that must be taken which can determine the graduation rate. The criteria for predicting the passing of the CPNS selection test are used by the Basic Competency Selection (SKD) which consists of a Personal Characteristic Test (TKP), General Intelligence Test (TIU), National Insight Test (TWK), Competency Selection Section (SKB) which consists of a computer assisted test (CAT) and interviews, and the number of quotas received. This research is the implementation of Fuzzy Tsukamoto Logic in Predicting the Passing Rate of the CPNS Selection Test. The system for predicting the passing of the CPNS selection test was built using the Web-based PHP programming language. Data management using MySQL database. The overall defuzzyfication (Z) result in the system predicts the passing rate of CPNS = 61.950223979 = 62.
Sistem Monitoring Dan Pengendalian Data Suhu Ruang Navigasi Jarak Jauh Menggunakan WEMOS D1 Mini H. Heru Abrianto; Kumala Sari; Irmayani Irmayani
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i1.2687

Abstract

Ruang perangkat sangat rentan akan munculnya panas, karena  perangkat tersebut dijalankan setiap saat. Oleh sebab itu sangat dibutuhkan pendingin ruangan seperti Air Conditioner (AC) pada setiap ruang perangkat agar suhu ruangan selalu dingin sesuai ketentuan yang berlaku karena kondisi suhu ruangan sangat berpengaruh terhadap perangkat. Dari kasus tersebut maka demi memudahkan petugas dalam memantau suhu ruangan perangkat maka dibuat pendeteksi suhu ruangan agar suhu ruangan tidak melewati batas maksimal dan alat tersebut akan memberikan notifikasi secara otomatis langsung ke petugas melalui aplikasi Bylnk pada smartphone. Sebagai penanggulangan atau tindakan pertama di ruang perangkat tersebut maka melalui aplikasi Bylnk pada smartphone petugas dapat menyalakan AC cadangan yang ada pada di ruang perangkat. Prototype alat ini terdiri dari Wemos D1, sensor suhu DHT22, dan switch untuk menyalakan / mematikan AC . Pada pengujian dan sensor suhu DHT22 maemiliki ketidaklinieran terhadap Thermo-Hygrometer ruangan yaitu sebesar 5 % dan selisih nilai pengukuran analog dan digital 1.7 0C. Alat ini dapat mengirimkan notifikasi  secara otomatis melalui aplikasi bylnk pada smartphone ketika suhu ruangan melewati batas maksimal, dan aplikasi bylnk pada smartphone juga dapat menyalakan AC cadangan yang terdapat pada ruang perangkat
Proses Induksi Sel Daun Tembakau (Nicotiana Tabacum) Teuku Muhammad Zulfikar
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i1.2758

Abstract

Abstrak-Proses pemeliharaan sel tumbuhan saat ini sudah sering dilakukan, salah satunya adalah proses induksi sel daun tembakau (Nicotiana tabacum). Dari induksi sel daun tembakau dapat dihasilkan berbagai produk, diantaranya adalah quinone. Proses ini banyak dilakukan karena disamping produk yang dihasilkan lebih murni, keutuhan sifat quinone juga dapat terjaga. Selain itu bahan baku yang digunakan tersedia dengan cukup. Suplai oksigen yang rendah sangat efektif untuk meningkatkan produksi quinone. Untuk mengurangi suplai oksigen yang masuk dapat digunakan asam askorbat sebagai anti oksidan karena senyawa ini mudah bereaksi dengan oksigen. Callus dipindahkan ke medium cair yang telah ditambahkan dengan asam askorbat. Pertumbuhan sel dalam medium cair diamati melalui berat sel segar yang diperoleh, dimana berat sel segar naik dengan naiknya konsentrasi asam askorbat dan mencapai optimum pada konsentrasi asam 0,50 mg/l. Kandungan quinone ditentukan dengan menggunakan alat HPCL, dimana kandungan quinone yang paling banyak diperoleh pada konsentrasi asam askorbat 0,50 mg/l yaitu sebesar 0,4030 ppm.Kata kunci: Induksi Sel, Daun Tembakau dan Quinone
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 Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i1.2669

Abstract

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.

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