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Jurnal Informatika Teknologi dan Sains (Jinteks)
Published by Universitas Teknologi Sumbawa
ISSN : -     EISSN : 26863359     DOI : https://doi.org/10.51401/jinteks.v3i3.1260
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Jurnal Informatika Teknologi dan Sains (JINTEKS) merupakan media publikasi yang dikelola oleh Program Studi Informatika, Fakultas Teknik dengan ruang lingkup publikasi terkait dengan tema tema riset sesuai dengan bidang keilmuan Informatika yang meliputi Algoritm, Software Enginering, Network & Security serta Artificial Inteligence. disamping itu Jurnal Informatika Teknologi dan Sains (JINTEKS) juga mengelola publikasi yang terkait dengan ilmu Keteknikan / Engineering dan bidang sains yang meliputi matematika komputasi, Biomatematika serta Fisika terapan yang mengarah pada komputasi. Tujuan dan Lingkup Jurnal Jurnal Informatika Teknologi Dan Sains (JINTEKS) akan memuat hasil-hasil penelitian dan pengabdian masyarakat dalam bidang Teknologi Informasi, Komputer dan Sains yang belum pernah diterbitkan maupun sedang dikirim ke jurnal lain. Lingkup Jurnal Informatika Teknologi Dan Sains (JINTEKS) meliputi bidang Teknologi Informasi, Komputer dan Sains yang meliputi: Pemrograman Database Kecerdasan buatan Jaringan komputer Teknologi cloud Interfacing Sistem embedded Pengolahan citra E-commerce Sistem pengambilan keputusan Komputer Sains serta bidang-bidang lain yang relevan dengan teknologi informasi dan komputer
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 14 Documents
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Search results for , issue "Vol 4 No 2 (2022): EDISI 12" : 14 Documents clear
PENERAPAN DATA MINING UNTUK MENENTUKAN STRATEGI PROMOSI PRODUK INDUSTRI KREATIF UMKM KOTA DENPASAR PASCA PANDEMI COVID 19 I Made Artana; Nengah Widya Utami
Jurnal Informatika Teknologi dan Sains Vol 4 No 2 (2022): EDISI 12
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (548.964 KB) | DOI: 10.51401/jinteks.v4i2.2032

Abstract

In era of the Covid-19 pandemic MSMEs in Denpasar City has increased but not significantly compared to previous years. Entering the industrial revolution 4.0 and society 5.0 requires business actors to be more creative and innovative. In this case, it is very important for MSMEs to determine the right strategy, especially in terms of product promotion so that they can compete in expanding the market and increasing income, so that it is expected to revive the economy of Denpasar City. The Denpasar City Government has a large number of MSME data, but this data has not been used properly. One of the data mining methods is K-Means clustering. The stages of data mining in this research process include: 1)data pre-processing which includes data cleaning, data integration, data selection and data transformation; 2)the application of data mining methods using the K-Means clustering algorithm, which at this stage has the same characteristics and characteristics in certain clusters, and finally 3)data interpretation and evaluation of the information and knowledge patterns generated from the mining process. The cluster results obtained from this study are expected to be a reference in policy making to determine the promotion strategy of creative industry products in Denpasar City.
PENERAPAN AGILE METHOD DAN BMC PADA STARTUP UMKMEKSPOR.ID SEBAGAI USAHA PENINGKATAN EKSPOR PRODUK UMKM PERTANIAN DAN AGRO INDONESIA DALAM MASA PANDEMI Tiawan; I Gede Juliana Eka Putra; Alexandra Priscillia Devina
Jurnal Informatika Teknologi dan Sains Vol 4 No 2 (2022): EDISI 12
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (469.452 KB) | DOI: 10.51401/jinteks.v4i2.2033

Abstract

MSMEs are currently booming in collaboration with innovative startups. According to the Assistant Governor of the BI Department of Economic and Monetary Policy Mr. Dody Budi Waluyo, there are have 3 problems related to agriculture, including production, distribution, and price affordability. This research uses Agile and BMC (Business Model Canvas) methods. Agile is a system development method that helps users/users so that the results obtained and in line with user needs, while BMC is a 9-component business model. The stages used in this study use the Agile model from Kanban to help see which processes will be implement,which proces are ongoing and which have been complete. It's hoped that the application of Agile and BMC methods can help solve the 3 main problems that exist in Indonesian its mean agriculture, especially in UMKMEkspor.id startups.
TEXT MINING DALAM ANALISIS SENTIMEN PEMBELAJARAN DARING DI MASA PANDEMI COVID 19 MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR Nengah Widya Utami; Made Artana
Jurnal Informatika Teknologi dan Sains Vol 4 No 2 (2022): EDISI 12
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (421.526 KB) | DOI: 10.51401/jinteks.v4i2.2034

Abstract

Sistem pembelajaran di masa pandemi Covid19 ini telah beralih menjadi pembelajaran dalam jaringan (daring). Berbagai komentar baik positif maupun negatif diungkapkan khususnya oleh peserta didik. Mahasiswa STMIK Primakara menyampaikan kritik/saran/pendapat terkait metode atau strategi mengajar yang dilakukan oleh dosen dalam pembelajaran daring melalui sistem SISKA Primakara. pengisian data EDOM oleh mahasiswa dilakukan setiap 6 (enam) bulan sekali. Hingga saat ini data komentar edom berjumlah sangat besar dan belum dimanfaatkan dengan baik. Selain itu, saat ini belum ada strategi yang tepat mengenai metode pembelajaran yang harus diimplementasikan dalam situasi pembelajaran daring. Untuk itu dilakukan penerapan text mining dalam analisis sentiment pembelajaran daring di STMIK Primakara menggunakan algoritma K-Nearest Neighbor (KNN). Hasil penelitian ini diharapkan dapat menjadi acuan dalam penentuan metode dan strategi pembelajaran yang tepat guna tercapainya peningkatan kepuasan mahasiswa dalam pembelajaran daring. Tahapan penelitian meliputi identifikasi masalah, studi literatur, pengumpulan data, text preprocessing (filtering, cleansing, case folding, tokenizing, stemming, stopword, dan cross validation), analisis dan kesimpulan, pembuatan laporan, serta publikasi luaran. Hasil penelitian menunjukkan komentar mahasiswa lebih cenderung sentimen negatif. Persepsi negatif dihasilkan karena ketidakpuasan mahasiswa terhadap pembelajaran daring.
ANALISIS STRATEGI DIGITAL MARKETING DALAM MENINGKATKAN JUMLAH MAHASISWA PADA LEMBAGA PENDIDIKAN CYZ Ni Putu Mayun Swanitha; Sephy Lavianto; I Made Artana
Jurnal Informatika Teknologi dan Sains Vol 4 No 2 (2022): EDISI 12
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (413.246 KB) | DOI: 10.51401/jinteks.v4i2.2036

Abstract

Abstract: CYZ educational institutions have used technology as a promotional medium to find new students. CYZ is an educational institution that has used technological developments to develop its business. CYZ uses social media and websites as one of the supporters in introducing campuses and finding new students. In this study, qualitative descriptive research was used. This method focuses on answering research questions related to Digital Marketing Strategy Analysis in Increasing the Number of Students at CYZ Educational Institutions, especially in the use of social media and websites. This study also uses SWOT analysis to analyze internal strengths and weaknesses, opportunities and threats externally, and to determine the position of CYZ's company. With the SWOT weighting being in quadrant I implementing an aggressive strategy, means that CYZ is in a ready condition to continue to grow and develop by utilizing strengths and seizing opportunities to the fullest.

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