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Perancangan Sistem Rekomendasi untuk Menentukan Supplier Bahan Baku Menggunakan Metode TOPSIS (Studi Kasus: PT XYZ) Yosi Yonata; Cut Fiarni; Budiyanty Soefian
Jurnal Telematika Vol 10, No 2 (2015)
Publisher : Institut Teknologi Harapan Bangsa

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Abstract

PT XYZ adalah salah satu perusahaan yang memproduksi berbagai macam jenis plastik dengan kebutuhan kapasitas bahan baku kurang lebih 4 sampai 6 ton setiap harinya. Untuk memenuhi kebutuhan yang besar tersebut, manager pembelian membutuhkan suplai bahan baku lebih dari satu supplier, di mana saat ini, dalam mencari dan menentukan supplier bahan baku, perusahaan hanya bergantung kepada manager pembelian. Keputusan pemilihan supplier tersebut berdasarkan ingatan manager pembelian saja dan kriteria yang digunakan belum distandarisasi (dapat berubah-ubah). Melihat masalah tersebut, dapat dilihat bahwa ketersediaan informasi yang tepat memegang peranan penting untuk kelancaran produksi dari PT XYZ. Untuk mengatasi masalah tersebut, dibuatlah sebuah sistem rekomendasi dengan menggunakan metode TOPSIS yang mampu membantu manager pembelian dalam memberikan urutan list (ranking)supplier terbaik berupa prioritas terhadap solusi ideal dengan pemberian bobot yang dinamis dari skala 1 (prioritas terendah) sampai 5 (prioritas tertinggi) dari enam kriteria pemilihan supplier yang disesuaikan dengan kebutuhan PT XYZ. Berdasarkan hasil pengujian sistem rekomendasi menggunakan metode TOPSIS, manager pembelian dapat memperoleh hasil rekomendasi supplier dari supplier terbaik sampai supplier terburuk, dapat menentukan dan mengatur tingkat kepentingan dari enam kriteria pemilihan supplier beserta kapasitas bahan baku yang dibutuhkan oleh PT XYZ.PT XYZ is a company that manufactures various types of plastic with a large capacity of raw materials for about 4 until 6 tons each day. To complete their daily needs, purchasing manager needs more than one supplier. Now, in order to find and decide raw material suppliers, the company relies only on purchasing manager. Choice of the supplier is based on purchasing manager's memory and those criterias have not standarized by the company. Based on these problem, we can conclude that information plays an important role for PT XYZ. To overcome these problems, PT XYZ made a recommendation system using TOPSIS method that will help purchasing manager to list the recommended supplier based on the priority of the ideal solution with scored with scale 1 for lowest priority until 5 for the highest priority. It is based on the criterias met by PT XYZ. Based on the test result using TOPSIS method, purchasing managers can obtain the recommendation of the best suppliers until the less recommended suppliers along with the raw material capacity that needed by PT XYZ.
Aplikasi Knowledge Management System untuk Komplikasi Penyakit Diabetes Berdasarkan Profil Pasien Menggunakan Metode J48 Cut Fiarni; Evasaria Sipayung
Jurnal Telematika Vol 15, No 1 (2020)
Publisher : Institut Teknologi Harapan Bangsa

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Abstract

Patients with diabetes have a high risk to suffer from other complications. In Indonesia, there are top three of diabetes complications incidents, which are retinopathy, neuropathy, and proteinuria. To prevent the worsening complication level and condition, the information about how to control and to detect early symptoms of diabetes complications become crucial. The problem is that the information about complications are limited and still widely obtained by conventional sharing between health workers and diabetic patient, this makes the complications of diabetes is often too late to be handled. Therefore, in this research, we build a Knowledge Management System (KMS) using Data Mining Algorithm J48 techniques to extract diabetes complication dominant factors. This proposed system is also able to work collaboratively between diabetics, families, and health workers, to share information based on the similarity of the profile of diabetic patient. Algorithm J48 was used to classify patient profile attributes including age, sex, duration of suffering, BMI, blood pressure, blood sugar levels, and family history, to generate rules. To generated rules and a profile matching method used as model of the proposed system, we used Indonesian diabetics data. Based on evaluation of the proposed system, it results conformity 68% with the original medical record of diabetic complication. In conclusion, the system could be used as an alternative to the early detection system.Diabetes sebagai penyakit kronis, juga adanya potensi komplikasi penyakit yang disebabkannya. Dengan prevelansi komplikasi tertinggi adalah retinopati, neuropati, dan proteinuria. Pengetahun mengenai faktor-faktor risiko terkait komplikasi tersebut dapat membantu dalam deteksi dini, sehingga dapat mengurangi risiko dan mempercepat penanganan pasien. Permasalahannya, informasi mengenai komplikasi masih terbatas serta diperoleh secara konvensional dengan melakukan sharing antara tenaga kesehatan dan penderita diabetes, sehingga komplikasi diabetes seringkali terlambat untuk ditangani. Pada penelitian ini dilakukan perancangan knowledge managementSystem(KMS) komplikasi diabetes,  dengan mengadopsi teknik data mining J48 dan profile matching dalam pengklasifikasian potensi komplikasi diabetes yang dialami oleh pasien tersebut. Pada sistem terdapat pula fitur berbagi informasi dan pengetahuan. Hal ini dilakukan secara kolaborasi antara penderita diabetes, keluarga dan tenaga kesehatan. Hasil evaluasi terhadap sistem usulan diperoleh 68% kemungkinan komplikasi yang sesuai dengan komplikasi berdasarkan data rekam medis penderita diabetes. Sehingga sistem dapat digunakan sebagai alternative early detection sistem.
Iket Sunda sebagai Konstruksi Sosial dalam Pemberitaan Surat Kabar Yosi Yonata; Cut Fiarni; Marseli Afyuni Tania
Jurnal Telematika Vol 9, No 1 (2014)
Publisher : Institut Teknologi Harapan Bangsa

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Abstract

Foto jurnalistik yang menampilkan satu atau beberapa individu yang menggunakan iket menjadi hal yang semakin sering dilihat di halaman media cetak belakangan ini. Meningkatnya pemakaian iket oleh berbagai kalangan masyarakat ini juga mendorong munculnya banyak pemberitaan yang menimbulkan persepsi di masyarakat, yang berupa konstruksi sosial yang dapat mengubah pandangan pembaca atas berita yang tertuang. Penelitian ini menggunakan analisis framing dengan model Robert N. Entman sebagai alat penelitian. Sebagai landasan dan pengantar analisis framing, setiap contoh foto jurnalistik akan diteliti aspek fotografinya dan penempatannya pada lay-out halaman surat kabar. Analisis framing digunakan untuk mengetahui bagaimana seorang fotografer dan redaksi membingkai (framing) foto jurnalistik di halaman surat kabar yang pada akhirnya memunculkan sebuah konstruksi sosial yang diakibatkan karena perbedaan penempatan foto jurnalistik pada halaman surat kabar. Photojournalism featuring one or more individuals who use iket become more often seen in print media these days. The increasing use of iket by various circles of society also encourages the emergence of a lot of news that create the perception in the community, in the form of construction of social reality which can change the view of the above news reader contained. This study uses framing analysis by Robert N. Entman modelas as a research tool. As an introduction to the foundation and framing analysis, each sample will be studied from its photojournalism aspect of photography and its placement on the lay-out pages of newspapers. Framing analysis is used to determine how a photographer and editor create framing photo journalism in the pages of newspapers, which in turn gave rise to a social construction that is caused by differences in the placement of photo journalism at a newspaper page.
Perancangan Sistem Informasi Helpdesk Menggunakan Framework ITIL V3 Evasaria M. Sipayung; Cut Fiarni; Ernest Aditya
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 2: Mei 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

In order to improve and to ensure the availability of information technology (IT) services quality, many organizations now have a helpdesk which acts as a center point in solving and organizing problems. However, in the planning and implementation of Information Systems Service Helpdesk, it is necessary to do a thorough analysis of the framework of the Information Technology Service Management (ITSM) that is appropriate and in accordance with the needs of organizations, that is also capable of providing the function of knowledge management. It is because each type of organization has different needs and Standard Operation Procedure in providing IT services. The purpose of this study is to analyze the right ITSM framework in developing Helpdesk Information System in PT Len Industri (Persero), which is one of State-Owned Enterprises (SOEs). Helpdesk services provide repairs of hardware, software, and network. Previously, informations about problems and the handling are not complete, and the information storing is unstructured. This causes difficulties in monitoring and evaluation activities conducted by helpdesk admin and manager of Information Systems. To solve this problem, a system is designed using ITSM best practices standard from the Information Technology Infrastructure Library version 3. The system is designed to perform the classification to every problem. Classifications are made into several level of priorities which correspond with profile matching method, according to position and division within the PT Len Industri (Persero)’s value chain. The developed dashboard has been able to support the helpdesk results evaluation process. To ensure the usability of the system, a user acceptance test is conducted with the standard of Unified Theory of Acceptance and Use of Technology. The system obtains overall score of 88,89% in the user interface aspect and 83,715% in the functional requirement of information system aspect.