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Jurnal Pilar Nusa Mandiri

pilar
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Published by STMIK Nusa Mandiri

ISSN : 19781946 EISSN : 25276514 DOI : -

Core Subject : Science,

Computer Science & IT

Jurnal Pilar merupakan jurnal ilmiah yang diterbitkan oleh program studi sistem informasi STMIK Nusa Mandiri. Jurnal ini berisi tentang karya ilmiah yang bertemakan: Rekayasa Perangkat Lunak, Sistem Pakar, Sistem Penunjang, Keputusan, Perancangan Sistem Informasi, Data Mining, Pengolahan Citra.

Arjuna Subject : -

Articles 418 Documents

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TELLER POOLING TERBAIK PADA PT. BCA Tbk. DENGAN METODE SAW (Simple Additive Weighting) Riyanto, Eko Arif; Haryanti, Tuti
Jurnal Pilar Nusa Mandiri Vol 13 No 1 (2017): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

Human resource management in a company greatly affect many aspects, and as a determinant of the success of the company, whether it’s on banking company or not. One of the important process in human resource management in a banking company such as PT BCA Tbk. is a selection of the best teller pooling that can spur the spirit of teller pooling to improve the performance and dedication of work. However, with the number of employees who have capabilities that are not much different from one another, sometimes the result of the assessment of each employee is relativity balanced causing difficulty for a boss to determine the right teller pooling as the best teller pooling. Therefore, the Decision Support System is very needed to give a recommendation in making a decision for the selection of the best teller pooling. One of them is by using Simple Additive Weighting Methode (SAW). SAW is a decision support method that uses a weighting summation techniques to obtain the best result of consideration based by alternatives. From the calculation reference to the criteria of tangible, reliability, responsiveness, assurance, empathy that give the result the best teller pooling by an effective calculation using Simple Additive Weighting Methode.

ANALISA KECENDERUNGAN DAN JENIS GAYA BELAJAR MENGGUNAKAN METODE LEARNING STYLE INVENTORY (LSI) Sukmana, Sulaeman Hadi
Jurnal Pilar Nusa Mandiri Vol 13 No 2 (2017): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

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Analysis of the tendency of learning styles and types of learning styles aims to identify the weaknesses and advantages of a student in the process of teaching Study abroad and absorb the information given in a classroom so that teachers can improve learning achievement. The method used in this study based on the method of Learning Style Inventory introduced by David Kolb, the steps being taken are the Identification of Problems, Study litelatur, Designing Questionnaire, Validation Question, Determining Sample, Data Gathering, Analysis and Conclusions. The results showed that there were 12% (14 people) have a tendency Flavorings, 21% (23 people) a tendency Observer, 22% (24 people) a tendency Thinkers and 45% (50 people) action tendencies. The types of learning styles diverging by 39% (43 people), then asimilator by 22% (25 people) akomodator by 21% (23 people) and converges at 18% (20 people) of the total 111 students who filled out a questionnaire.

PERAMALAN PERSEDIAAN BARANG MENGGUNAKAN METODE WEIGHTED MOVING AVERAGE DAN METODE DOUBLE EXPONENTIAL SMOOTHING Hayuningtyas, Ratih Yulia
Jurnal Pilar Nusa Mandiri Vol 13 No 2 (2017): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

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Arga Medical adalah toko yang bergerak dibidang penjualan alat kesehatan. Banyaknya transaksi penjualan akan mempengaruhi persediaan barang, sebagai usaha dibidang penjualan sering mengalami masalah dalam memprediksi jumlah produk yang harus tersedia untuk bulan berikutnya. Oleh karena itu penelitian ini membuat peramalan persediaan menggunakan metode Weighted Moving Average dan metode Double Exponential Smoothing, data yang digunakan untuk penelitian ini yaitu data penjualan selama satu tahun 2016. Metode Weighted Moving Average yaitu metode yang memberikan bobot yang berbeda untuk setiap historis sedangkan metode Double Exponential Smoothing yaitu metode yang memiliki nilai pemulusan pada waktu sebelum data sebenarnya,dari kedua metode ini menghasilkan peramalan persediaan untuk periode berikutnya 52 dengan Weighted Moving Average dan 60 dengan Double Exponential Smoothing. Kedua metode ini memiliki nilai Mean Square Error. Dimana nilai error Weighted Moving Average yaitu 0,114 dan nilai error Mean Square Error 6,12, nilai error terkecil adalah metode yang terbaik untuk peramalan persedian

PENERAPAN METODE INFERENSI FORWARD CHAINING DALAM MENDIAGNOSA PENYAKIT KULIT PADA KUCING Saryoko, Andi; Putri, Yustin Anggraheni
Jurnal Pilar Nusa Mandiri Vol 12 No 1 (2016): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

Among of many animals, Cat is one of the most favorable domestic animal in our society too keep pets in a good health, the cat owner should pay attention by feeding a good and take care the cat so the cat is not going to be susfeptible disease. Skin disease is one of a type of disease that mostly infect pets, especially cats.cat owner sometime realize that the pet is often become less such as ballnes, smell, and skin redness to the cat yet many cat owner are not seacrhed the veterinaly care of treatement, because because their busy at work also cost for mediacation is too expensive for several cat owner who have small income. The veterinary clinic usually pleaced in towns, so the cat owner who lived in the villange is not able to bring ther pet to animal care (clinics). One of the alternativethat could be used by the cat owner to salve the problem is using a disgnostic expert systm in the website (Web) based in Forward Chainning. This system diagnosis skin in cats is usefull to provide information to pevent skin disease and analize the characteristic featunes to skin that injured disease.

DAMPAK PENINGKATAN JARINGAN 3G PT INDOSAT TERHADAP KEPUASAN PELANGGAN DI JABOTABEK DENGAN METODE STRUCTURAL EQUATION MODELLING (SEM) Darmawan, Ahmad Hendra; Wulandari, Dewi Ayu Nur
Jurnal Pilar Nusa Mandiri Vol 12 No 2 (2016): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

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Program peningkatan jaringan 3G PT Indosat di wilayah Jabotabek bertujuan untuk meningkatkan kualitas dan kepuasan pelanggan PT Indosat di wilayah Jabotabek yang secara posisi memang masih dibawah Telkomsel dan XL dalam tingkat kepuasan pelanggan. Pengolahan hasil penelitian dilakukan dengan menggunakan Structural Equation Modelling (SEM) dari 3 kelompok variabel yang diteliti yaitu reliabilitas, kemudahan dan pilihan yang dilakukan pencocokannya dengan indikator dari Goodness of Fit (GOF). Dari hasil pengolahan data didapat bahwa program peningkatan jaringan 3G PT Indosat di wilayah Jabotabek mampu menaikan kualitas dan kepuasan pelanggan khususnya wilayah Jabotabek dari semua jenis kartu seluler dan layanan jasa telekomunikasi yang disediakan oleh PT Indosat

NIAT PEMBELIAN BARANG PADA GAME ONLINE MELALUI TEORI NILAI KONSUMSI DENGAN AMOS 21 Pratiwi, Erni Dwi
Jurnal Pilar Nusa Mandiri Vol 11 No 2 (2015): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Nowadays, online game is not just a game, it has become a commercial enterprise. A game tool transaction happens in it. the research is to analyze the factors which caused the players are interested in buying the items. The research uses the theory of Consumption Value, by Sheth, Newman, and Gross. there are six variables of analysis, such as Enjoyment Value, Character competency value, Visual authority value, Monetary value, Character identification dan Purchase intention. The results show that there are four variables which cause the players to buy the tools of the online game, they are Character competency value, Monetary value, Character identification, and Purchase Intention.

PENERAPAN SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT PADA KEHAMILAN Ramanda, Kresna
Jurnal Pilar Nusa Mandiri Vol 11 No 2 (2015): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

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Sistem pakar adalah sistem berbasis komputer yang menggunakan pengetahuan, fakta dan tehnik penalaran dalam memecahkan masalah yang biasanya hanya dapat dipecahkan oleh seorang pakar dalam bidang tertentu. Sistem pakar memberikan nilai tambah pada teknologi untuk membantu dalam menangani era informasi yang semakin canggih. Kehamilan adalah suatu fenomena fisiologis yang dimulai dengan pembuahan dan diakhiri dengan proses persalinan. Selama kehamilan, ibu dan janin adalah unit fungsi yang tak terpisahkan. Meskipun terlihat dengan kondisi kehamilan yang sehat bukan berarti ibu dan janin dalam keadaan baik – baik saja. Namun kurangnya informasi atau sosialisasi tentang penyakit kehamilan akan menyebabkan mereka baru mengetahui adanya penyakit yang menyertai kehamilannya setelah stadium lanjut. Aplikasi Sistem Pakar ini menghasilkan keluaran berupa kemungkinan penyakit kehamilan yang diderita berdasarkan gejala yang dirasakan oleh user. Sistem ini menggunakan metode penelusuran kedepan (Forward Chaining) untuk menemukan solusi atau kemungkinan penyakit yang diderita oleh user.

SISTEM PAKAR BERBASIS WEB DENGAN MENGGUNAKAN METODE FORWARD CHAINING UNTUK MENDIAGNOSA KERUSAKAN MOBIL DAIHATSU AYLA Kurniawan, Setiadi; Merlina, Nita
Jurnal Pilar Nusa Mandiri Vol 11 No 2 (2015): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (952.95 KB)

Pembahasan pada penelitian ini mengenai pembuatan situs web yang dimanfaatkan sebagai salah satu sarana referensi bagi pengguna kendaraan dalam memperbaiki kendaraannya. Contoh kasus yang akan dibawakan penulis adalah sistem pakar dalam untuk mendeteksi kerusakan mobil Daihatsu Ayla. Penulis membuat web sederhana yang menampilkan jenis jenis kerusakan yang ada pada mobil Daihatsu Ayla dan bagaimana cara untuk memperbaiki kerusakan tersebut. Sehingga diharapkan lewat web ini menjadi pertolongan pertama bagi pengendara mobil dalam memperbaiki kendaraannya ketika keadaan darurat atau menjadi pendamping ketika pengendara mencoba memperbaiki kendaraannya sendiri di rumah.

PEMILIHAN SITUS MEDIA ONLINE TERHADAP KEBUTUHAN END USER DENGAN PENDEKATAN MULTI CRITERIA DECISION MAKING (MCDM) Akmaludin, Akmaludin
Jurnal Pilar Nusa Mandiri Vol 10 No 2 (2014): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Wireless Internet usage is now a major requirement virtual world, even the role of information and communication technology to support the advancement of the use of internet facilities. All forms of life in the media business online communication is needed at all because the information needs to be a necessity for business users and players. Lines of communication can be done in various ways, one of which can use online media, such as e-books, e-magazines, newspapers online through the websites of online media. There are so many online media sites which are known among the better-known as seconds, tempo, Republika. To analyze online media sites to the needs of the user takes an objective measurement methodology that can be known empirically. The methodology used using Multi-Criteria Decision Making approach (MCDM). In Analytic Hierarchical Process ( AHP ) to know a lot of approaches to decision making. MCDM approach of choice in this paper on the grounds will be applied using the Expert Choice. Advantages of this application are more precise analysis results used directly to prove the MCDM approach. The main criteria used include interfacing, simplicity, quality, satisfaction, and benefits, each criterion has sub- criteria as detailed analysis. The Acquisition of the analysis conducted on the three sites mentioned above with MCDM approach and a kind to using Expert Choice application by the end of the following synthesis Media such as, Republika online with a priority value of 0.476 , followed by the second and subsequent online media due to the sequential priority value is 0.293 and 0.231 . The results obtained have the same priority value analysis done with matrix algebra approach by mathematical concepts.

ANALISIS TINGKAT KEBERHASILAN CRYOTERAPY MENGGUNAKAN NEURAL NETWORK Rahayu, Sri; Nugraha, Fitra Septia; Shidiq, Muhammad Ja’far
Jurnal Pilar Nusa Mandiri Vol 15 No 2 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Human health is very important to always pay attention especially after someone has been declared suffering from an illness that can inhibit positive activities. One of the most feared diseases of the 20th century is cancer. This disease requires treatment that is quite expensive. Alternative treatments are cryotherapy or ice therapy. But cryotherapy also has side effects, it is necessary to do research on its success by taking into account certain conditions of the parameters. So the purpose of this study is to analyze the success of cryotherapy so that the dataset can be used as one of the benchmarks for the success of the cryotherapy tratment method. The method used in this study is the machine learning method of Neural Network with 500 training cycles, learning rate of 0,003 and momentum 0,9 which results in a good classification of obtaining quite high accuracy of 87,78% and AUC value of 0,955.

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