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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Pilar Nusa Mandiri Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Sistem Informasi Journal of Applied Data Sciences JUSTIN (Jurnal Sistem dan Teknologi Informasi) Journal of Hypermedia & Technology-Enhanced Learning
Nita Merlina, Nita
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Social Sciences Other

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Analisa Penerimaan Teknologi Cloud Computing pada Infrastruktur Data Center PT. Sentral Link Solutions Mulyana, Kaka; Merlina, Nita
Jurnal Sistem Informasi Vol 7 No 1 (2018)
Publisher : STMIK ANTAR BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (476.153 KB)

Abstract

Abstract -- Utilization of cloud computing by the enterprise information technology has not a new thing anymore because cloud computing technology proven to deliver efficiency in reducing cost in data centers large and complex. However the use of cloud computing technology with different task and functions as virtual information. Be found to the primary three main factors: perceived usefulness, perceived ease of use, and behavioral intention to use. Testing the hypothesis in this research model using a varince-based Partial Least Square (PLS) with trimming model technique, and proven five hypothesis is accepted. There is a relationship that proved significant following: 1) behavioral intention to use and actual technology use, 2) perceived ease of use and behavioral intention to use, 3) perceived ease of use and perceived usefulness, 4) perceived usefulness and actual technology use, 5) perceived usefulness and behavioral intention to use.Intisari -- Pemanfaatan teknologi cloud computing oleh perusahaan teknologi informasi sudah bukan hal baru lagi karena teknlogi cloud computing terbukti memberikan efisiensi dalam menurunkan biaya pada pusat data yang besar dan kompleks. Meskipun demikian pemanfaatan teknologi cloud computing dengan tugas dan fungsi yang berbeda dari sebelumnya, yaitu sebagai lingkungan infrastruktur teknologi informasi virtual akan mempengaruhi keputusan perilaku pengguna untuk mengadopsi dan memanfaatkan teknologi tersebut. Terdapat tiga faktor utama, yaitu perceived usefulness, perceived ease of use, dan behavioral intention to use. Pengujian hipotesis dalam model penelitian ini menggunakan variance-based Partial Least Squares (PLS) dengan trimming model, dan terbukti lima hipotesis yang diajukan diterima. Terdapat hubungan berikut yang terbukti signifikan yaitu: 1) behavioral intention to use dengan actual technology use, 2) perceived ease of use dengan behavioral intention to use, 3) perceived ease of use dengan perceived usefulness, 4) perceived usefulness dengan actual technology use, 5) perceived usefulness dengan behavioral intention to use.Kata Kunci: Teknologi, Cloud Computing, Technology Acceptance Model (TAM), Partial Least Square (PLS).
Metode Data Mining Terhadap Data Penjualan Sparepart Mesin Fotocopy Menggunakan Algoritma Apriori Rahmawati, Fitri; Merlina, Nita
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 6 No 1 (2018): Maret 2018
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v6i1.1390

Abstract

Abstract The sales of photocopy-machine spare part products is increasingly required. To know the number of group sales, a method is needed, e.g. apriori algorithm with a Tanagra software. Apriori algorithm is a type of association rule on data mining. By using Apriori algorithm, group sales can be predicted for increasing the level of sales. Results found that the most popular products were drum dc and toner, with the selling Toner and Drum dc (50% support and 66.67% confidence) or the selling of Drum Dc and Toner (50% support and Value 85.71% confidence). Keywords: Apriori algorithm, Data Mining, Selling Abstrak Penjualan produk sparepart mesin fotocopy semakin diperlukan. Untuk mengetahui produk sparepart mesin fotocopy dengan penjualan terbanyak yang terjual secara bersamaan dibutuhkan metode agar didapatkan informasi baru. Yaitu dengan menggunakan algoritma Apriori dan bantuan tools Tanagra. Algoritma Apriori adalah jenis aturan asosiasi pada data mining. Dengan menggunakan perhitungan algoritma Apriori maka dapat ditentukan produk sparepart mesin fotocopy yang banyak terjual secara bersamaan yang bermanfaat dalam penyelesaian strategi pemasaran agar lebih meningkatkan tingkat penjualan. Dari hasil penelitian ini dapat ditemukan produk yang paling banyak terjual yaitu drum dc dan toner, dengan menghasilkan kesimpulan bahwa produk Toner dan Drum dc dengan nilai support 50% dan nilai confidence 66,67% atau produk Drum Dc dan Toner dengan nilai support 50% dan nilai confidence 85,71%. Kata kunci: Algoritma apriori, Data mining, Penjualan
Pemilihan Jasa Pengiriman Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Oktaviani, Nia; Merlina, Nita; Nurmalasari, Nurmalasari
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 6, No 4 (2018)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1072.059 KB) | DOI: 10.26418/justin.v6i4.29126

Abstract

Meningkatnya pengguna internet membuat semakin meningkat pula pembelian barang secara online. Baik pembeli, maupun penjual yang menggunakan transaksi secara online dalam pengiriman barangnya dapat menggunakan 2 metode pengiriman barang, yaitu bertemu secara langsung, atau mengunakan jasa pengiriman barang. Dan sebagai pengguna online shop juga pastinya akan sangat bingung dan kesulitan dalam memilih jasa pengiriman barang sehingga mempertimbangkan faktor lain dalam memilih jasa pengiriman barang. Mulai dari harga, pengemasan barang, lama pengiriman barang, banyaknya cabang, layanan sistem hingga pelayanan membuat pengguna online shop bingung dalam memilih jasa pengiriman barang terbaik sesuai kebutuhan pengguna.  Oleh karena itu pada penelitian ini akan diangkat suatu kasus yaitu mencari jenis pengiriman terbaik berdasarkan kriteria-kriteria yang telah ditentukan dengan menggunakan metode Simple Additive Weighting (SAW) untuk melakukan perhitungan pada kasus pemilihan jenis barang terbaik. 
SISTEM INFORMASI PENJUALAN BUKU BERBASIS WEB PADA TOKO BUKU AS-SALAM BEKASI MENGGUNAKAN PHP & MYSQL Afnisari, Karnita; Herlawati, Herlawati; Merlina, Nita
Jurnal Pilar Nusa Mandiri Vol 9 No 1 (2013): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 20
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (332.563 KB) | DOI: 10.33480/pilar.v9i1.131

Abstract

In the time of globalization now is the development of science and technology have developed by leaps and bounds. Everything required is done quickly and accurately. It can be realized by the use of technology to its full potential. Technology, in this case, is indeed very necessary computer are included in the business world and the world of education, with the company's performance. See the increasingly rapid development. The author tried to make the information system Web-based book sales with the Use of Php & amp; MySQL On The Bookstore As-Salam Bekasi. With this web-based system to computerize the authors hope the problems existing in the company, especially in terms of data processing can be resolved properly. The information generated can be more accurate, fast and efficient. In addition to the company's web-based information systems can also be simultaneously marketed its products to the public. So everything could run with web
DECISION SUPPORT SYSTEM PENYALURAN KREDIT USAHA RAKYAT (KUR) MIKRO MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) Aisyah, Nurul; Merlina, Nita
Jurnal Pilar Nusa Mandiri Vol 9 No 1 (2013): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 20
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (503.09 KB) | DOI: 10.33480/pilar.v9i1.132

Abstract

During the period of 2008, the distribution of KUR (Kredit Usaha Rakyat) is very effective when compared with the period of 2009. KUR velocity distribution may be due to the high banks in channeling the spirit of KUR, is quite effective dissemination among the banking and society, policy ATMR (Aktiva Tertimbang Menurut Risiko) are laxer and the many demands of prospective borrowers KUR decent but less bankable. The purpose of this paper is making obtaining priority weight of each factor and alternative options to choose borrowers who received micro-enterprise credit people with the greatest priority. The method this study outlined three stages in solving the problem. The first phase, the analysis was conducted to analyze the problem. The second step is data collection began with the distribution of questionnaires, observation, interview, and literature study. Data analysis phase as the third stage, data analysis methods will be used is Analytical Hierarchy Process (AHP) in decision-making with the Expert Choice program analysis which is computer software to determine the choices in making decisions with multiple criteria decision making based on the methodology developed by Saaty. Results Decision Support system Kredit Usaha Rakyat Mikro disbursement by the banks which consists of six criteria: income level, a frequency of credit, length of business, venture capital, education, loan repayment. The highest weighting is the criteria for venture capital, followed by the frequency of credit, length of business, income level, educational level, and the last time loan repayment. Priority for the alternative name for the micro business sector borrowers candidate Peoples Business Loan (KUR) Micro getting KUR Micro is Food Enterprises, grocery and Business Enterprises Business Services, and Agriculture and Fisheries.
SISTEM PENUNJANG KEPUTUSAN KENAIKAN JABATAN PADA PT. MITRA INFOSARANA MENGGUNAKAN METODE PROFILE MATCHING Hidayat, Rahmat; Merlina, Nita
Jurnal Pilar Nusa Mandiri Vol 9 No 2 (2013): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septembe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (245.049 KB) | DOI: 10.33480/pilar.v9i2.136

Abstract

Accordance with the rules set by PT. Infosarana partners in the process of promotion positions, it would require the criteria to determine who will be elected to fulfill the vacant position. In the process of determining the position required a decision support system. One method that can be used for the Decision Support System is using the Profile Matching. This research will be appointed a case of finding the best solution base on the competence of employees at PT. Infosarana Partner Profile matching method. This method was chosen because it is able to select the best candidates from a number of existing employees, in this case, meant that candidates eligible employees whose positions are available based on the criteria specified. Research carried out by finding the weights for each attribute, such examples are the intellectual capacity aspects, aspects of work attitudes, and behavioral aspects, then carried ranking process that will determine the optimal alternative, the best employees
SISTEM PAKAR DIAGNOSA KERUSAKAN PADA MESIN PENDINGIN RUANGAN DENGAN METODE FORWARD CHAINING Guntur, Guntur; Merlina, Nita
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1838.296 KB) | DOI: 10.33480/pilar.v12i1.264

Abstract

At this time. Air conditioner have been obviously a very basic need to many people. Hence the use of air conditioner likely require regular maintenance, this is what drives development of an expert system to identify air conditioner damage. Expert system is a branch of artificial intelligence that makes extension use of specialized knowledge to solve problems at the level of a human expert. An expert is a person who has expertise in a certain area. This expert system can help find solutions quickly and can save time. Inference method used is a forward chaining , the inference process that initiate search of the premises or in the form of input data lead to the conclusion that symptoms of the damage conclusions and provide solutions on air conditioner damage. The test results are made based on the questionnaire showed that, the program quite useful in providing information about damage to the air conditioner, made consultation more efficient with result that equally same with air conditioner technician.
IMPLEMENTASI DATA MINING UNTUK MENGETAHUI MANFAAT RPTRA MENGGUNAKAN METODE K-MEANS CLUSTERING Wardiani, Ditta Sri; Merlina, Nita
Jurnal Pilar Nusa Mandiri Vol 15 No 1 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1000.441 KB) | DOI: 10.33480/pilar.v15i1.403

Abstract

The vacant land in DKI Jakarta is increasingly reducing due to the construction of houses, queues, factories, which are increasingly rapid. Making less green open space and water catchment areas. That way, the park of the children to play even decreases, as well as the DKI Jakarta Provincial Government, decides to make a Child-Friendly Integrated Public Room or what we know as RPTRA with facilities that can help the community around it. With this RPTRA, the public especially children can play and interact with each other. Using the K-Means Clustering method can help the government or officers in each RPTRA more easily see how useful this RPTRA and the government also facilitates some of the rooms contained in this RPTRA namely the hall, library, and playroom. The results of this research are the hall that has the highest value for visitors who come where the value obtained is 1319 visitors.
SISTEM PENUNJANG KEPUTUSAN PEMILIHAN HANDPHONE MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS Sarifah, Sarifah; Merlina, Nita
Jurnal Pilar Nusa Mandiri Vol 11 No 1 (2015): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1127.613 KB)

Abstract

Decision Support System as a tool in decision making at this time began to be applied in various areas of life, not least in making a decision for the selection of a product. One of them, the choice in the purchase of a mobile product that is now available with a variety of options ranging from the brand, features, and so forth. This triggers the problem for consumers who would buy a mobile product because they feel confused to choose the product that liking, so do not be surprised if consumers sometimes choose the wrong mobile phone that suits their needs because of the plurality of types, specifications, and the price offered. Decision Support System using the method of Analytical Hierarchy Process ( AHP ) is applied to obtain the weights of criteria and alternatives so that the final result with the highest weight value scoring. Thus it is expected to help recommend to consumers in the choice of mobile products that suit, usability and budget
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)

Abstract

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.
Co-Authors Aziz, Faruq Bayhaqy, Achmad Ernest Dwi Saptorini, Ernest Dwi Fahrurrozi4, Nabil Ali Fitri Rahmawati Frieyadie Gata, Windu Guntur Guntur Herlawati Herlawati iboy, rahmat satria buana Ida Zuniarti, Ida Jessika Aryani Juniarti Karnita Afnisari, Karnita Kurniawan, Setiadi Mayangky, Nissa Almira Mega Maharani, Mega Muhamad Hasan Mulyana, Kaka Nurmalasari Nurmalasari Nurul Aisyah Oktaviani, Nia Oktaviani, Nia Panjaitan, Yogi Yosua Prasetio, Arfhan Pratama, Kasahana Indra Putra, Ananta Kusuma Putra, Septian Ade Rahmat Hidayat Sarifah Sarifah Siti Fauziah Sulaeman, Okky Robiana Sulistyowati, Daning Nur Utami, Cheilla Cahya Utami Wardiani, Ditta Sri