Jurnal TAM (Technology Acceptance Model)
Receives articles in technology information and this Journal publishes research articles, literature review articles, case reports and, concept or policy articles, in all areas such as: Geographical Information System, Information systems scale Enterprise, Data base, Data Warehouse, Business Intelegence (BI), Computer Network Security, Data Mining, Computer Architecture Design
Articles
242 Documents
<![CDATA[IMPLEMENTATION OF NADIS FOOD AND CATERING WEBSITE USING WATERFALL METHOD ]]>
<![CDATA[Lodinata, I Wayan Angga Surya]]>;
<![CDATA[Paramitha, A.A Istri Ita]]>;
<![CDATA[Putri, I Gst Agung Pramesti Dwi]]>
<![CDATA[ Jurnal TAM (Technology Acceptance Model) Vol 15, No 1 (2024): Jurnal TAM (Technology Acceptance Model) ]]>
Publisher : <![CDATA[Institut Bakti Nusantara ]]>
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DOI: 10.56327/jurnaltam.v15i1.1647
<![CDATA[Based on research conducted, 86% of people find it difficult to find information about catering, food, suitable prices and so on. So in this case it is necessary to integrate information technology in marketing. In marketing, the use of websites as promotional media is very effective where websites can function as information media. The aim of creating this website is expected to help the owner's performance in the marketing and ordering process. In this research, a system was created using the Waterfall method in building an ordering website for Nadis Food and Catering. The Nadis Food and Catering website functions as a medium for information and catering orders. Where when customers order catering they will be directed to the Nadis Food and Catering admin WhatsApp, this is done in order to establish good communication between customers and Nadis Food and Catering. It is recommended to carry out maintenance in order to increase functional requirements so that the information needed by administrators and users can be met.]]>
<![CDATA[SISTEM INFORMASI PENJUALAN MAKANAN HASIL OLAHAN KEDELAI DI WILAYAH GADINGREJO KAB PRINGSEWU BERBASIS WEB ]]>
<![CDATA[Andreas Andoyo]]>
<![CDATA[ Jurnal TAM (Technology Acceptance Model) Vol 1 (2013): Jurnal TAM (Technology Acceptance Model) ]]>
Publisher : <![CDATA[LPPM STMIK Pringsewu ]]>
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DOI: 10.56327/jurnaltam.v1i0.8
<![CDATA[ABSTRAKTransaksi online adalah transaksi yang dilakukan penjual dan pembeli secara online melalui media internet,tidak ada perjumpaan langsung antara pembeli dan penjual.saat ini dengan semakin pesatnya perkembangan teknologi dan internet di indonesia,telah memiliki dampak yang besar terhadap perubahan bisnis industri.yaitu mulai dari cara beriklan,cara jual beli,cara berinteraksi antar manusia,dan sebagainya.dengan ecommerce telah banyak merubah dalam proses jual beli.olahan kedelai ini masih menggunakan cara manual dalam proses transaksi.untuk peningkaykan omzet dan keuntungan yang merupakan tujuan penelitian ini maka model transaksi ini dikembangkan dengan sdlc (system development life cycle) dan software yang digunakan untuk merancang dan mendesain aplikasi ini yaitu bahasa pemrograman php,database mysql dan adobe photosop cs3.fitur-fitur ini meliputi produk pencarian,ketertiban,pengiriman dan konfirmasi pembayaran dan sehingga memberikan intergrasi dari persediaan seluruh unit penjualan jaringan.Penerapan sistem ini mempermudah pelanggan yang ingin melakukan produk secara online.]]>
<![CDATA[DEVELOPMENT OF E-LEARNING APPLICATIONS AS A MEANS OF ONLINE LEARNING IN SMP AL AZHAR 1 BANDAR LAMPUNG ]]>
<![CDATA[Satrianah Satrianah]]>;
<![CDATA[Hilda Dwi Yunita]]>
<![CDATA[ Jurnal TAM (Technology Acceptance Model) Vol 11, No 1 (2020): Jurnal TAM (Technology Acceptance Model) ]]>
Publisher : <![CDATA[LPPM STMIK Pringsewu ]]>
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DOI: 10.56327/jurnaltam.v11i1.857
<![CDATA[In current teaching and learning activity on SMP Al Azhar 1 Lampung's Port, tutorial material application by teacher is done by use of conventional method. In students appreciative data processing be done by use of calculator then menginput assesses student into excel's file then printed by that point data then that point data is kept in schooled cabinet so at alarms its happening lose point and damage data on students appreciative data. Base that thing therefore needed Application Development E Learning As Medium Of Learning Online at SMP Al Azhar 1 Lampung's Port. Base observational result in analyse Application Development E Learning As Medium Of Learning Online at SMP Al Azhar 1 Lampung's Port by use of system scheme utilize that web waters down deep implementation process and Application Development E Learning As Medium Of Learning Online at SMP Al Azhar 1 Lampung's Port.]]>
<![CDATA[METODE SIMPLE ADDITIVE WEIGHTING (SAW) DALAM SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN DOSEN PEMBIMBING SKRIPSI DI STMIK PRINGSEWU ]]>
<![CDATA[Elisabet Yunaeti Anggraeni]]>
<![CDATA[ Jurnal TAM (Technology Acceptance Model) Vol 5 (2015): Jurnal TAM (Technology Acceptance Model) ]]>
Publisher : <![CDATA[LPPM STMIK Pringsewu ]]>
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DOI: 10.56327/jurnaltam.v5i0.42
<![CDATA[Setiap perguruan tinggi selalu ada syarat untuk lulus yang namanya skripsi sebagai mata kuliah yang wajib diikuti setiap mahasiswa atau mahasiswi dalam menempuh pendidikan strata satu. Perguruan tinggi merupakan kelanjutan dari pendidikan menengah yang diselenggarakan untuk mempersiapkan peserta didik untuk menjadi anggota masyarakat yang memiliki kemampuan akademis. Masalah yang terjadi dalam menyelesaikan skripsi adalah dibutuhkannya dosen pembimbing skripsi STMIK Pringsewu Lampung. Dimana pihak terkait masih kebingungan menentukan dosen pembimbing siapa yang layak menjadi pembimbing skripsi. Permasalahan ini dapat diselesaikan dengan metode saw dalam menentukan kriteria dan pengambilan keputusan. Metode ini akan memberikan pembobotan alternative dengan bobot terbesar merupakan alternative pilihan yang akan ditetapkan menjadi dosen pembimbing skripsi STMIK Pringsewu Lampung.]]>
<![CDATA[COMPARISON OF TREE IMPLEMENTATION, REGRESSION LOGISTICS, AND RANDOM FOREST TO DETECT IRIS TYPES ]]>
<![CDATA[Siti Mukodimah]]>;
<![CDATA[Chairani Fauzi]]>
<![CDATA[ Jurnal TAM (Technology Acceptance Model) Vol 12, No 2 (2021): Jurnal TAM (Technology Acceptance Model) ]]>
Publisher : <![CDATA[LPPM STMIK Pringsewu ]]>
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DOI: 10.56327/jurnaltam.v12i2.1074
<![CDATA[Iris is a genus of 260-300 species of flowering plants with striking flower colors and has a dominant color in each region. The name iris is taken from the Greek word for rainbow, which is also the name for the Greek goddess of the rainbow, Iris. The number of types of iris plants with almost the same physical characteristics, especially in the pistil and crown, causes the misdetection of iris plant types. Iris plants are deliberately used because data is already available digitally on the internet and software such as orange and is widely used as a material for classifying objects. This research was conducted to classify iris plant types using three algorithms, namely Tree algorithm, Regression Logistics, and Random Forest. Classification algorithms are a learning method for predicting the value of a group of attributes in describing and distinguishing a class of data or concepts that aim to predict a class of objects whose class labels are unknown. The results showed the largest AUC (Area Under Curve) value obtained by the Random Forest method. AUC accuracy is said to be perfect when the AUC value reaches 1,000 and the accuracy is poor if the AUC value is below 0.500. As for the precision value of the three models used Random Forest has the highest precision value. From the data tests that have been done training and testing can be seen that the level of accuracy of testing of the three models where the Random Forest model is superior as a method for classification of irises.]]>
<![CDATA[THE NAÏVE BAYES METHOD AS A MEASUREMENT MODEL EFFECTIVENESS OF ONLINE LEARNING ]]>
<![CDATA[Siti Mukodimah]]>;
<![CDATA[Muhamad Muslihudin]]>;
<![CDATA[Suyono Suyono]]>;
<![CDATA[Trisnawati Trisnawati]]>;
<![CDATA[Baqiatus Solihah]]>
<![CDATA[ Jurnal TAM (Technology Acceptance Model) Vol 13, No 2 (2022): Jurnal TAM (Technology Acceptance Model) ]]>
Publisher : <![CDATA[LPPM STMIK Pringsewu ]]>
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DOI: 10.56327/jurnaltam.v13i2.1283
<![CDATA[The rapid development of technology requires the world of education to be able to take advantage of its positive impact, making various new innovations by utilizing technology to support education such as online learning in the learning process amid the Covid-19 pandemic. Changes in learning methods which occur suddenly from conventional learning methods or directly face-to-face switching to distance learning methods or using online learning media greatly impact and influence students who come from underprivileged families and students who are in remote areas where internet access and inadequate infrastructure. This study aims to create a classification model for measuring the effectiveness of online learning in Pringsewu using the classification method. The classification method is used to classify data based on the nature of the data which each class already recognizes. There are various methods which can be used to classify data using the Naïve Bayes method. The results of the research conducted are a classification for measuring the effectiveness of online learning in Pringsewu. The feasibility of the model obtained is supported by the results of the analysis of the Naïve Bayes model which has an accuracy rate of 98.48%, an AUC value of 0.995, a precision level of 98.17% and a 100% recall. In this study, the level of accuracy of the performance of the model used reached values above 90%. In addition, the AUC value of the two methods used is also more than 90% which is a value that is categorized as Excellent Classification. Further research can be carried out using other different parameters such as Economic Capability, Regional Location, Connectivity Mode, Digital Literacy, and others. In addition, this research was conducted only from the student's point of view. Inclusion of school opinion in future research will be useful in determining the exact effectiveness of online learning.]]>
<![CDATA[ESTIMASI KEDALAMAN PADA CITRA DENGAN CONDITIONAL RANDOM FIELD (CRF) DAN STRUCTURED SUPPORT VECTOR MACHINE (SSVM) MENGGUNAKAN FITUR FFT ]]>
<![CDATA[Derry Alamsyah]]>;
<![CDATA[Muhammad Rachmadi]]>
<![CDATA[ Jurnal TAM (Technology Acceptance Model) Vol 9, No 1 (2018): Jurnal TAM (Technology Acceptance Model) ]]>
Publisher : <![CDATA[LPPM STMIK Pringsewu ]]>
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DOI: 10.56327/jurnaltam.v9i1.585
<![CDATA[Citra Kedalaman merupakan citra yang dapat digunakan untuk segmentasi objek, 3D Model dan visi pada robot. Penentuan nilai kedalaman dari sebuah citra warna memiliki tantangan tersendiri dan bidang aktif penelitian. Citra kedalaman dapat diestimasi dengan menggunakan model stokastik CRF. Selanjutnya model CRF digunakan sebagai model untuk pembobotan pada Model SSVM. Penggunaan CRF-SSVM untuk estimasi citra kedalaman didukung ekstraksi fitur domain frekuensi yaitu FFT. Hasil yang ditunjukan dengan menggunakan pendekatan ini sebesar 69.04%]]>
<![CDATA[ECISION SUPPORT SYSTEM IN PROVIDING PEOPLE'S BUSINESS CREDIT (KUR) USING THE WEIGHTED PRODUCT (WP) METHOD AND WEB-BASED TOPSIS ]]>
<![CDATA[Mario, Deka]]>;
<![CDATA[Agustina, Nabela]]>;
<![CDATA[Parida, Meri]]>;
<![CDATA[Afandi, Asep]]>
<![CDATA[ Jurnal TAM (Technology Acceptance Model) Vol 14, No 2 (2023): Jurnal TAM (Technology Acceptance Model) ]]>
Publisher : <![CDATA[Institut Bakti Nusantara ]]>
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DOI: 10.56327/jurnaltam.v14i2.1518
<![CDATA[People's Business Credit (KUR) is a credit that gets subsidized facilities from the government, one of which is KUR BRI. The government itself recently extended the BRI KUR ceiling without collateral or collateral for loans of up to IDR 100 million with interest subsidies of up to 3 percent. For the credit given to be smooth, the bank must be selective in giving credit to creditors, whereas before credit is given to the debtor, the bank must analyze the provision of credit to determine the creditor's ability to repay the loan by the terms contained in the loan agreement [2]. A decision support system (DSS) is a system that helps decision-makers in unstructured decision conditions and non-semi-structured situations. Metode Weighted Product (WP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). part of the Multi-Attribute decision-making (MADM) is used to rank all alternatives from predetermined criteria and sub-criteria. The implementation of the two methods for the ten alternatives (BRI Kotabumi Branch) turned out to give very good results using these two methods. The calculation results of these two methods are the same, so it can be concluded that the most feasible results from the WP and TOPSIS methods are Alternative 5 Initials A with WP values 0.134 and TOPSIS 0.774]]>
<![CDATA[PENGARUH KOMPETENSI PERSONAL TERHADAP KESIAPAN PERUBAHAN DALAM INDUSTRI 4.0 ]]>
<![CDATA[Mochammad Harry Febriandono]]>;
<![CDATA[Fitrian Harry Nuzul Mulia]]>;
<![CDATA[Noor Hidyat Iswara]]>
<![CDATA[ Jurnal TAM (Technology Acceptance Model) Vol 10, No 2 (2019): Jurnal TAM (Technology Acceptance Model) ]]>
Publisher : <![CDATA[LPPM STMIK Pringsewu ]]>
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DOI: 10.56327/jurnaltam.v10i2.762
<![CDATA[To overcome the advancement of industry 4.0, adequate competence and knowledge are needed. Change readiness must be applied by the company to be applied to the advancement of existing technology. Automation continues and increases the ability of employees also increases. The challenge that will be faced is how to manage human resources in a company that prepares employees to improve their personal abilities in more complex processes and maintain work in a changing work environment. Personal competence is one of the competencies that employees must improve in preparation for improving industry 4.0 to support the changes that occur. In this journal, researchers used quantitative methods and sought information about what factors could be a reference in the readiness of human resources in the 4.0 digitization era. In this study it was found that employee flexibility, successful challenges, and the challenges of the factors that most influence the company in dealing with industry 4.0.]]>
<![CDATA[SISTEM PENDUKUNG KEPUTUSAN PENENTUAN BEASISWA MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) STUDI KASUS PADA SMP DHARMA BHAKTI PUBIAN ]]>
<![CDATA[Sariyah Astuti]]>;
<![CDATA[Muammar Muammar]]>
<![CDATA[ Jurnal TAM (Technology Acceptance Model) Vol 4 (2015): Jurnal TAM (Technology Acceptance Model) ]]>
Publisher : <![CDATA[LPPM STMIK Pringsewu ]]>
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DOI: 10.56327/jurnaltam.v4i0.32
<![CDATA[Dalam proses pembangunan sistem pendukung keputusan untuk menentukan penerima beasiswa di SMP Dharma Bhakti Pubian mengggunakan metode Simple Additive Weighting (SAW). Metode ini dipilih karena mampu menyeleksi alternative terbaik dari sejumlah alternatif, dalam hal ini alternatif yang dimaksudkan yaitu yang berhak menerima beasiswa berdasarkan kriteria-kriteria yang ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu siswa terbaik. Berdasarkan hasil pengujian, sistem yang dibangun dapat membantu kerja tim penyeleksi beasiswa dalam melakukan penyeleksian beasiswa, dapat mempercepat proses penyeleksian beasiswa, dapat mengurangi kesalahan dalam menentukan penerima beasiswa, dan dapat mempermudah penyeleksi dalam menentukan penerima beasiswa.]]>
