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Techno Nusa Mandiri : Journal of Computing and Information Technology

techno
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Published by Universitas Nusa Mandiri

ISSN : 19782136 EISSN : 2527676X DOI : -

Core Subject : Science,

Computer Science & IT

Jurnal TECHNO Nusa Mandiri, merupakan Jurnal yang diterbitkan oleh Pusat Penelitian Pengabdian Masyarakat (PPPM) STMIK Nusa Mandiri Jakarta. Jurnal TECHNO Nusa Mandiri, berawal diperuntukan menampung paper-paper ilmiah yang dibuat oleh dosen-dosen program studi Teknik Informatika.

Arjuna Subject : -

Articles 270 Documents

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PENGGUNAAN JEJARING SOSIAL DAN LEARNING MANAGEMENT SYSTEM PADA PEMBELAJARAN DI TINGKAT PERGURUAN TINGGI Vito Triantori
Jurnal Techno Nusa Mandiri Vol 15 No 1 (2018): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Institusi perguruan tinggi saat ini menghadapi tantangan yang lebih besar untuk berubah dan mengalami berbagai transformasi di sekitarnya lingkungan termasuk teknologi dengan sangat cepat. Dalam hal ini pengajar mendapatkan tantangan dan berusaha mengeksplorasi berbagai cara baru dalam meningkatkan teknik mengajar mereka. Penelitian ini dikhususkan untuk menyelidiki penggunaan situs jejaring sosial ataupun Learning Management System di lembaga pendidikan tinggi. Untuk tujuan ini dua tujuan dirumuskan (1) untuk mengetahui sejauh mana pemakaian jejaring social oleh siswa (2) mengetahui penggunaan jejaring social dalam penggunaannya untuk media dalam memberikan bahan ajar. Penelitian ini menggunakan pendekatan eksploratif dengan menggunakan desain survei deskriptif dimana sampel 10% (215 mahasiswa) diambil dari kampus mahasiswa/i AMIK Bina Sarana Informatika Jakarta Jakarta dan STMIK Nusa Mandiri Jakarta. Temuan menunjukkan bahwa Sosial Networking Service (SNS) ataupun Learning Management System (Learning Management System) merupakan pilihan yang dapat diandalkan karena para mahasiswa tidak hanya anggota situs jejaring sosial namun juga mayoritas memiliki akses ke perangkat teknologi yang dibutuhkan. Selain itu, rekomendasi untuk memastikan pembelajaran otentik dipresentasikan. Peneliti merekomendasikan eksplorasi pemanfaatan situs jejaring sosial yang ada untuk belajar bersamaan dengan pemangku kepentingan utama.

KOMPARASI METODE NEURAL NETWORK, SUPPORT VECTOR MACHINE DAN LINEAR REGRESSION PADA ESTIMASI KUAT TEKAN BETON Tyas Setiyorini; Rizky Tri Asmono
Jurnal Techno Nusa Mandiri Vol 15 No 1 (2018): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Penggunaan beton sudah semakin meluas dikarenakan beton memiliki kuat tekan yang lebih tinggi dibandingkan dengan bahan lain. Para ahli melakukan prediksi kuat tekan beton dengan kurang efektif karena masih menggunakan aturan dan rumus standar tertentu. Banyak penelitian dilakukan dengan beberapa metode namun belum diketahui metode mana yang terbaik. Penelitian ini melakukan komparasi antara metode Neural Network (NN), Support Vector Machine (SVM) dan Linear Regression (LR) dengan menggunakan dataset concrete compressive strength dan slump. Pada dataset concrete compressive strength dengan menggunakan metode NN didapatkan RMSE 5,667, dengan menggunakan metode SVM didapatkan RMSE 5,165 dan dengan metode LR didapatkan RMSE 10,501. Sementara pada dataset slump dengan menggunakan metode NN didapatkan RMSE 0,422, dengan menggunakan metode SVM didapatkan RMSE 2,778 dan dengan menggunakan metode LR didapatkan RMSE 2,65. Setelah hasil tersebut dikomparasi dengan perangkingan didapatkan total ranking NN adalah 3, total rangking SVM adalah 4, dan total rangking LR adalah 5. Dari total rangking tersebut dapat disimpulkan bahwa kinerja NN lebih baik dibanding SVM dan LR.

SISTEM INFORMASI AKADEMIK PENILAIAN BERBASIS WEB PADA SMA MANDIRI BALARAJA - KAB. TANGERANG Eko Yulianto; Ahmad Yani; Nurajijah Nurajijah
Jurnal Techno Nusa Mandiri Vol 15 No 1 (2018): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

SMA Mandiri Balaraja - Kab. Tangerang continues to strive to offset the development of education to compete and reliable. The assessment system is still manual and not computerized. This causes difficulties in the assessment process, as many require files to be recorded. Academic information system of web-based value processing answer the problem, because it can be accessed online anywhere and anytime with the internet network. The model used in this research is waterfall method supported by programming language PHP, HTML and MySQL database.

METODE AHP SEBAGAI PENUNJANG KEPUTUSAN UNTUK PENILAIAN KINERJA KERJA KARYAWAN SPBU Frieyadie Frieyadie
Jurnal Techno Nusa Mandiri Vol 15 No 1 (2018): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Untuk mencapai kesuksesan bersama, SPBU selalu berupaya dalam meningkatkan mutu internal secara berkelanjutan agar dapat bersaing dengan perusahan yang bergerak dibidang yang sama. Salah satu upaya yang sudah dilakukan adalah dengan melakukan penilaian terhadap kinerja karyawan untuk mengetahui keberhasilan atau ketidakberhasilan dalam menjalankan tugasnya. Proses penilaian tersebut masih dilakukan secara manual, dengan manual relatif terjadi ketidak akuratan data, dan juga diimplementasikan menggunakan aplikasi Microsof Excel, sehingga memerlukan waktu yang cukup lama, untuk pengolahan data. Selain itu penilaian bersifat subyektif dan belum relevan dengan keadaan yang sebenarnya, sehingga tidak dapat digunakan sebagai sumber dasar pengambilan keputusan. Hasil analisis dari perhitungan hasil Analytical Hierarchy Process menyatakan bahwa alternatif yang terpilih dan paling sesuai dengan kriteria adalah Karyawan A. Dengan hasil AHP yang diperoleh dari kuesioner dari 5 responden yang memberikan jawabannya dihitung dan didapat hasil akhir bahwa Karyawan A unggul dengan persentase nilai sebesar 23% berbanding dengan Karyawan E sebesar 22%, Karyawan C sebesar 20%, Karyawan B sebesar 18%, dan Karyawan D sebesar 17%. Secara global faktor utama yang paling di prioritaskan dalam penilaian kinerja karyawan adalah Tanggung Jawab dengan nilai bobot 0,349 atau 35% dan Karyawan yang paling diprioritaskan adalah Karyawan A dengan nilai 23%. Tujuan penelitian ini untuk memberikan alternatif keputusan yang dapat pemecahan masalah yang ada, sehingga keputusan yang dibuat menjadi lebih baik.

SISTEM PEMILIHAN LAPTOP TERBAIK DENGAN MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) Susliansyah Susliansyah; Ririn Restu Aria; Susi Susilowati
Jurnal Techno Nusa Mandiri Vol 16 No 1 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

The Weighted Product method requires a normalization process because this method assumes the results of evaluating each attribute. The results of these multiplications have not been meaningful if they have not been compared (divided) with standard values. The weight for the benefit attribute functions as a positive power in the multiplication process, while the weight of the cost functions as a negative rank. The Weighted Product method uses multiplication as a linking attribute rating, where the rating of each attribute must be raised first with the corresponding weight. Weighting Product Weighted method is calculated based on the level of importance. This system requires input weight values based on prospective buyers' needs in the form of prices, RAM capacity, processor type, Harddisk capacity, and VGA (Video Graphics Array). The results of this study provide laptop recommendations according to specification requirements for prospective buyers with 100% calculation accuracy based on manual calculations and calculations on laptop selection decision support systems.

PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DENGAN MODEL FUZZY MODEL ATTRIBUTE DECISION MAKING (FMADM) PENILAIAN KINERJA KARYAWAN DTPEDULI Fajar Agustini; Elien Riris Ariska
Jurnal Techno Nusa Mandiri Vol 16 No 1 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Performance assessment of a job in an agency or company is a stage of job evaluation to determine the benchmark in determining the quality and achievement of each employee. In the process, even an agency or company has a standard to measure the success of work. With the many service programs and empowerment of the people conducted in DTPeduli Bekasi encourage each employee to provide the best performance of each employee. However, in the development of performance appraisal is done less than the maximum because there is no system support. Results from research Employee performance assessment on DTPeduli Bekasi with some aspects of the criteria using Fuzzy Simple Additive Weighting (FSAW) model has been running well and can generate weighting assessment criteria and information clear and fast compared to the calculation manually so that Branch Head DTPeduli Bekasi can use it as a tool for decision making appropriate in decision making employee performance appraisal in DTPeduli Bekasi.

INDUSTRI 4.0: PENGUKURAN TINGKAT KESIAPAN INDUSTRI TEKSTIL DENGAN METODE SINGAPORE SMART INDUSTRY READINESS INDEX Satrio Utomo; Nugraheni Setiastuti
Jurnal Techno Nusa Mandiri Vol 16 No 1 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

The era of technology is disrupted at this time, better known as the Industrial Revolution 4.0, already been applied to a various field of each country. Industry 4.0 include Internet of Thing (IoT), Artificial Intelligence (AI), human-machine interface, 3-D printing, and Advanced Robotics. Industry 4.0 is expected to increase productivity, business efficiency, and competitiveness. Indonesia’s Ministry of Industry has designed ‘Making Indonesia 4.0’ by preparing a roadmap and strategy to meet industry 4.0. There are 5 (five) prioritize manufacturing industrial sectors: Food and Beverages, Textile and Apparel, Electronics, Chemical, and Automotive. For studies conducted in the textile and apparel industry, as one of the priority industries. The Research study was conducted to determine the level of readiness of the textile manufacturing industry to meet industry 4.0 based on aspects of Technology, Processes, and Organizations. The method used is The Singapore Smart Industry Readiness Index. By knowing this level of readiness, it will help the industry to know the position of the current level of readiness and what needs are needed to reach the level of industry 4.0. By knowing the position, is able to know the strengths and weaknesses of technology from the operational technology used, which then knows the technological priorities that are of concern by management to increase industrial competitiveness towards industrial level 4.0.Based on the results of the mapping, related to the level of readiness of the textile industry of PT. Grand Textile based on technological aspects (1.56), process aspects (1.33) and organizational aspects (2.00) amounted to 1.63; position at level 1 which is categorized as New Comer.

ANALISIS SENTIMEN OPINI PUBLIK BAHASA INDONESIA TERHADAP WISATA TMII MENGGUNAKAN NAÏVE BAYES DAN PSO Ratih Yulia Hayuningtyas; Retno Sari
Jurnal Techno Nusa Mandiri Vol 16 No 1 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Sentiment analysis is a text analysis to identify an opinion. Public opinion or reviews are important for visitors who will travel to tourist because of the reviews will produce information about the destination. One of the tourist attractions in Indonesia that Taman Mini Indonesia Indah one of the tourist attractions that has extraordinary. Reviews about Taman Mini Indonesia Indah make it difficult for visitors to draw conclusions about information about Taman Mini Indonesia Indah. Therefore a classification method in study with Naïve Bayes and PSO methods. In study using data as many 50 positive reviews and 50 negative reviews where the results of accuracy obtained using the Naïve Bayes method of 70% while the accuracy of using Naïve Bayes and PSO is 94,02%.

PENERAPAN MODEL WATERFALL DALAM SISTEM UJIAN SEKOLAH BERBASIS WEB PADA SMK WIRA BUANA I BOGOR Jayusman Jayusman; Sri Wasiyanti
Jurnal Techno Nusa Mandiri Vol 16 No 1 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Examination and repetition of activities such as midterm tests, semester tests and class increase examinations at SMK Wira Buana 1 Bogor are still manual, namely using paper, this is felt to be less effective because it takes a lot of costs, time, place and personnel in its implementation and still exists cheating students in carrying out the exam. In addition, the development of information technology and systems in the world of education is increasing, one example is the Computer Based National Examination (UNBK) also called the Computer Based Test (CBT), which is a system of implementing national examinations using computers as a test medium. This is the background of the author to make a web-based school exam information system there is SMK Wira Buana 1 Bogor. The method used in designing this web-based examination system is the waterfall method which is expected to be one of the breakthroughs in the running of the School Examination, both the Mid-Semester Examination and the Semester Final Examination which can reduce the operational costs of activities. The School Examination Information System becomes a medium for students to practice computer-based exams that can be accessed by all students of Bogor Wira Buana 1 Vocational School so that they can improve readiness and familiarize students in facing Computer-Based National Exams and provide convenience for schools in conducting examinations and providing speed in getting the test result score.

PENERAPAN METODE FORWARD CHAINING UNTUK DETEKSI KERUSAKAN PADA LAPTOP Yunita Yunita
Jurnal Techno Nusa Mandiri Vol 11 No 1 (2014): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Today, the use of computer technology has developed rapidly. Some people use it not only for the sake of typing, administration or surfing, but also to construct artificial intelligence (AI). One part of artificial intelligence that can be constructed by means of using computer technology is an expert system, which is the transfer of an expert’s knowledge into a computer system so that the computer is able to think like an expert in deciding a particular issue. One of them in terms of detecting damage to the Laptop. Inference techniques used track ahead (forward chaining) by searching method (Best First Search) and also use a production rule as representative techniques of knowledge. By means of login as an expert or an administrator or a user allows them to use this system in accordance with their respective needs. Users can use a system like this to consult with a doctor through a series of questions to be answered with yes or no answer to know the diagnosis. While the administrator is given a special authority to regulate the knowledgebase (knowledgebase).

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Frieyadie

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Frieyadie

Phone
-

Journal Mail Official
frieyadie@nusamandiri.ac.id

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-

Location
Kota adm. jakarta pusat,

Dki jakarta

INDONESIA