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All Journal Jurnal Teknoinfo JTIM : Jurnal Teknologi Informasi dan Multimedia Jurnal Bumigora Information Technology (BITe)
Ni Luh Putu Merawati
Universitas Bumigora
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Pemetaan Tempat Kos Terdekat dari Universitas Bumigora Menggunakan Metode Location Based Service (LBS) Ida Laila; Adam Bachtiar Maulachela; Ni Luh Putu Merawati
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 1 No 1 (2019): May
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v1i1.3

Abstract

Technology has helped many people in providing information to meet their needs. The development of information technology in the field of geography, information can be displayed better and faster through computers, one of which is a geographic information system for mapping the closest boarding house of Universitas Bumigora. The ease of obtaining boarding information is one of the demands in the city of Mataram, especially for migrants, for example students and students, especially STMIK students, Bumigora Mataram, who need temporary shelter. In finding a boarding house, it is sometimes difficult to find the closest boarding house and facilities that fit your needs because you do not know the area, so some boarders have to ask boarding information to the surrounding community or by circling the city which drains energy and costs. Based on these problems, a geographic information system is needed to map the closest boarding house from Universitas Bumigora using the Location Based Service (LBS) method, which is an application to facilitate boarders in finding temporary accommodation without having to search directly to the location. LBS is used to find the geographical position or position of a person through the website. In addition to finding the user's position, LBS can also determine the position of certain places, one of which is a boarding house. LBS is used to lock the search center point of a boarding house, namely Universitas Bumigora and change units to kilometers.
Penerapan Algoritma Support Vector Machine Dalam Sentimen Analisis Terkait Kenaikan Tarif BPJS Kesehatan Putu Mega Nirmala Dharmapatni; Ni Luh Putu Merawati
Jurnal Bumigora Information Technology (BITe) Vol 2 No 2 (2020)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v2i2.904

Abstract

Jejaring sosial adalah alat komunikasi yang sangat populer di kalangan masyarakat salah satunya adalah jejaring sosial twitter. Jumlah tweets berkembang pesat karena kesederhanaan dan kemudahan penggunaannya menjadi alasan twitter lebih populer di kalangan masyarakat Indonesia dalam berkomunikasi. Twitter banyak digunakan sebagai media promosi produk, iklan, kampanye politik maupun sebagai sarana dalam menyampaikan pendapat terkait kritik, saran, isu-isu serta opini-opini yang sifatnya publik seperti pandangan netizen terhadap kebijakan baru pemerintah dan lain sebagainya. Salah satu kebijakan pemerintah yang sedang ramai diperbincangan oleh netizen di jejaring sosial twitter adalah kenaikan tarif BPJS kesehatan. BPJS Kesehatan (Badan Jaminan Kesehatan dan Sosial) adalah Badan Usaha Milik Negara, besarnya jumlah pengguna BPJS menyebabkan BPJS harus menyediakan layanan umpan balik kepada pengguna untuk mengetahui respon pengguna terhadap layanan BPJS. Analisis sentimen atau disebut juga dengan penambangan pendapat adalah suatu bidang dalam menganalisis pendapat seseorang ataupun sekelompok orang mengenai suatu permasalahan yang tersedia untuk melihat respon masyarakat terhadap permasalahan tersebut. Metode SVM merupakan salah satu metode yang baik untuk digunakan dalam pengkalsifikasian data yang berjumlah banyak, terutama terkait dengan sentimen analisis. Pada penelitian ini akan dilakukan analisis sentimen masyarakat melalui media twitter terhadap kenaikan tarif BPJS Kesehatan menggunakan metode SVM untuk melihat respon masyarakat terhadap kebijakan tersebut.
GROUP DECISION SUPPORT SYSTEM PADA PENYELEKSIAN ATLET TAEKWONDO Ni Luh Putu Merawati; La Dzunnafi Arridlwany; Ismarmiaty Ismarmiaty; Ria Rismayati
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2764

Abstract

Taekwondo is a popular martial art sport that originated in Korea that developed in Indonesia in 1975 under Taekwondo Indonesia where the management of provincial activities was supervised by the Provincial Board. This study aims to assist the needs of multi-criteria decision making with the concept of Group Decision Support Systems for selecting Taekwondo athletes in West Nusa Tenggara. This system involves two decision makers, namely the Chief Executive of Pengprov and the Trainer. The method used in calculating decision making is the Weighted Product and Borda methods. The criteria used are geup, weight and age on the cost criteria, and medal criteria, charter, height, push ups, sit ups and balke on the benefits criteria. The data used in this study are 30 alternative data of Taekwondo members who are in the men's division. The stages of the research include: problem analysis, data collection, data initialization, implementation of the Weight Product method, implementation of the Borda method and analysis of the results & drawing conclusions. The results provide decision recommendations for the top 10 best assessments consisting of A25, A19, A14, A09, A26, A28, A01, A04, A07 and A06. Furthermore, the results of the analysis using the division of class categories based on body weight produce alternative data that are not evenly distributed in each class category. This provides more information to decision makers by considering the results of athlete rankings with the needs of prospective athletes in the weight class category.GROUP DECISION SUPPORT SYSTEM PADA PENYELEKSIAN ATLET TAEKWONDO
Co-Authors Adam Bachtiar Maulachela Ida Laila Ismarmiaty La Dzunnafi Arridlwany Putu Mega Nirmala Dharmapatni Ria Rismayati