Jurnal TAM (Technology Acceptance Model)
The journal TAM (Technology Acceptance Model) pISSN : 2339-1103; eISSN :2579-4221, is a peer-reviewed, scientific journal published by STMIK Pringsewu Lampung. 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, Database, Data Warehouse, Computer Network Security, Data Mining, Computer Architecture Design, Mobile Computing, Computing Theory, Embedded system, Electronic Government, Electronic Commerce, Application Program, Decision Support System, Artificial Intelligence, Expert System, And Various Fields of Science Related to Information Technology and Information System.
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<![CDATA[IMPLEMETASI METODE SERVQUAL UNTUK LAYANAN JASA JALUR NUGRAHA EKAKURIR EXPRESS KOTA LUBUKLINGGAU ]]>
<![CDATA[Cindi Wulandari]]>;
<![CDATA[Satrianansyah Satrianansyah]]>
<![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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<![CDATA[Kota Lubuklinggau memiliki banyak sekali layanan jasa pengiriman barang, salah satunya yakni layanan jasa Jalur Nugraha Ekakurir Express yang tentu saja peningkatan kualitas pelayanan terhadap pelanggan sangat penting dan dapat berpengaruh besar pada manajemen perusahaan, karena belum pernah dilakukan pengukuran faktor-faktor kepuasan pelanggan layanan jasa Jalur Nugraha Ekakurir Express tersebut, maka peneliti berupaya untuk mengimplementasikan metode SERVQUAL hingga dapat mengetahui tingkat kepuasan para pelanggan. Sebanyak 75 responden diberikan kuisioner yang terdiri atas lima variabel yaitu kehandalan (reliability), daya tanggap (responsiveness), jaminan (assurance), empati (emphaty), dan bukti fisik (tangible). Hasil penelitian ini diharapkan bahwa masyarakat memiliki tingkat kepuasan yang sangat tinggi terhadap layanan jasa Jalur Nugraha Ekakurir Exspress sehingga menjadi pilihan utama dalam jasa pengiriman barang, akan tetapi apabila berdasarkan pengolahan data hal tersebut tidak terbukti maka penelitian ini dapat menjadi tolak ukur manajemen layanan jasa Jalur Nugraha Ekakurir Express untuk dapat meningkatkan pelayanan terhadap para pelanggannya. Kata Kunci : Layanan Jasa Jalur Nugraha Ekakurir Express, Tingkat Kepuasan, SERVQUAL]]>
<![CDATA[ANALYSIS OF TECHNOLOGY ACCEPTANCE MODEL USERS OF FLIGHT TICKET RESERVATIONS SERVICES OF PT LION MENTARI AIRLINE ]]>
<![CDATA[Khasanah Khasanah]]>;
<![CDATA[Sabda Budi Sudarsono]]>;
<![CDATA[Albaar Rubhasy]]>;
<![CDATA[Yefri MC Liu]]>;
<![CDATA[Rini Sulistyowati]]>
<![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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<![CDATA[PT Lion Mentari Airline seeks to create innovations that pay more attention to the intensity and ease for their service users ie the airline ticket reservation system online or commonly known e-ticketing is a way of documenting the process of selling airline tickets from the user's travel activities without issuing physical evidence. This study aims to: (1) Perceived ease of use correlates to the perceived usefulness of the Airline Reservations Reservations Service at PT Lion Mentari Airlines online. (2) Perception of the perceived usefulness of the system has a positive effect on the attitude toward the use of the system (attitude toward using) Flight Booking Service at PT Lion Mentari Airlines Online (3) Perceived ease of use has a positive effect on attitude toward the use of the system (attitude toward using) Airline Booking Service at PT Lion Mentari Airlines Online (4) Attitude toward the use of the system (attitude toward using) positively influence the behavioral tendency to keep using the system (behavioral intention to use) Services Airline Ticket Reservation At PT Lion Mentari Airlines Online. This research uses four modified variables from previous Technology Acceptance Model (TAM) research model, namely: perceived usefulness perception as first independent variable (X1), perception ease of information system (perceived e asy of use) as the second independent variable (X2),), the perception of attitude toward the use of information system (attitude toward using) as the third independent variable (X3) and behavioral interest of the use of information system (Behavior Intention To Use) as dependent variable (Y).]]>
<![CDATA[PENGEMBANGAN MODEL PENGAWASAN STUDI MAHASISWA SEBAGAI BAHAN EVALUASI AKADEMIK DALAM UPAYA PENINGKATAN JUMLAH LULUSAN TEPAT WAKTU PADA SEKOLAH TINGGI ILMU KOMPUTER AL-KHAIRIYAH CILEGON ]]>
<![CDATA[Rulin Swastika]]>;
<![CDATA[Didda Rahayu Yuliana]]>;
<![CDATA[Imam Prasodjo]]>
<![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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<![CDATA[Dalam upaya meningkatkan jumlah mahasiswa lulus tepat waktu. Banyak faktor yang mempengaruhi hal tersebut salah satunya adalah prestasi akademik yang dimiliki oleh masing-masing mahasiswa, dengan indikator yang digunakan yaitu indeks prestasi mahasiswa. Namun ditengah proses perkuliahan tidak sedikit mahasiswa yang mengalami penurunan indeks Prestasi, yang mana saat ini belum jelas penyebab penurunanan IP tersebut. Penelitian ini bertujuan untuk mengetahui dan menganalisa penyebab penurunan indeks prestasi sehingga memudahkan bagian akademik baik itu unit pengelola program studi serta dosen wali untuk mengevaluasi prestasi akademik mahasiswa sehingga dapat memberikan pengarahan yang tepat dalam upaya meningkatkan prestasi akademik, sehingga mahasiswa diharapkan dapat lulus dengan tepat waktu, memperhatikan nilai kehadiran, nilai kompetensi masing-masing mahasiswa dan nilai keaktifan kemahasiswaan. Data yang digunakan adalah data primer, yaitu data yang langsung diambil dari tempat penelitian. Kemudian diolah menggunakan metode rata-rata berdasarkan jurnal-jurnal yang ditemukan pengolahan data dengan metode neuro fuzzy dapat meningkatkan akurasi. Pada penelitian ini diterapkan metode neuro fuzzy / ANFIS dengan fungsi keanggotaan segitiga dengan software matlab.]]>
<![CDATA[SISTEM BOOKING PARKIR MALL DENGAN IDENTIFIKASI PLAT NOMOR KENDARAAN BERBASIS ANDROID ]]>
<![CDATA[Muhammad Alvie Zaimuddin]]>;
<![CDATA[Slamet Winardi]]>;
<![CDATA[Sri Wiwoho Mudjanarko]]>;
<![CDATA[Benediktus Anindito]]>
<![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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<![CDATA[Many urban people spend time relieving fatigue due to the pressure of saturating work by walking in the mall or for mothers hunting for brand items that are being discounted at the mall, unfortunately when going to the mall it's hard to find a large enough parking lot. Look for a parking lot from the basement floor to the top floor and change from building one to another building to just get a parking space. Most malls do not provide information on the availability of parking spaces and the absence of officers directing to parking locations is still available. Some malls have provided information on the availability of parking spaces but have not yet provided which locations are still empty. From the description above we provide a solution to get a parking space when you want to visit the mall so that it can provide comfort when going to parking and time is not wasted to find parking locations. The parking booking system created will make it easy to get a parking space when going to the mall. With a vehicle number plate identification system and combined with an Android system, mall customers will easily get a parking space.]]>
<![CDATA[PENGEMBANGAN MODEL PENGAMBILAN KEPUTUSAN MENGGUNAKAN FUZZY MULTIPLE ATTRIBUTE DECISION MAKING UNTUK IDENTIFIKASI POTENSI KEMISKINAN DI KABUPATEN PRINGSEWU ]]>
<![CDATA[Jimi Ali Baba]]>;
<![CDATA[Sudewi Sudewi]]>;
<![CDATA[Erma Dwiyani]]>
<![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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<![CDATA[Poverty is a difficult problem to deal with. According to the current BPS poverty rate in Indonesia it still reaches 11.7% with the poverty depth index increasing from 1.75% (March 2013) to 1.89%. Then the poverty severity index increased from 0.43% (March) to 0.48%. The poverty line during the period from March to September 2013 increased by 7.85%. For this reason, criteria are needed to determine whether a family is classified as poor or not in Pringsewu District does not yet have criteria with a level of importance to make these decisions. For this reason, a decision support system is needed that can be an alternative decision support in determining poverty potential in Pringsewu district. In the calculation to determine the level of family poverty the Fuzzy Multiple Attribute Decision Making method is used. The manual test results using eight criteria from Nine alternatives where Alternative 6 is the alternative with the highest value of 75.25, and the lowest alternative is in Alternative 4, so Alternative 4 is an alternative identified as potential poverty in the Pringsewu District with a value of 46.25.]]>
<![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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<![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[APLIKASI WEB MOBILE CALON PENERIMA JAMBAN SEHAT BAGI KELUARGA KURANG MAMPU METODE TOPSIS ]]>
<![CDATA[Guna Yanti Kumala Sari Siregar Pahu]]>;
<![CDATA[Evi Haryani]]>;
<![CDATA[Muhamad Muslihudin]]>
<![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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<![CDATA[Decision making using multiple attribute has an advantage in determining alternative weight values. In determining to determine the condition of latrines declared healthy or unhealthy using six criteria, including: Knowledge, the number of people using latrines, Institutional Monitoring, Regulations, Cleanliness of Public Facilities, Community Behavior. In this study, to determine healthy latrines, community samples were used in Pringsewu District. The TOPSIS method is applied to determine the priority of unhealthy latrine conditions. The research aims to design a Decision Support System for the feasibility of latrines in public housing in Pringsewu District to realize Pringsewu Open Defecation Free. Testing results are combined with using web mobile to facilitate the Health Office in calculating weight values and following up on the results of calculations as an evaluation material for the service to prepare policy directives to achieve the goal of Open Defecation Free. From the Test Results the system describes the results of calculations and accurate research in accordance with the manual tests conducted. Which alternative 3 has the highest value than the other alternatives while alternative 4 has the lowest value.]]>
<![CDATA[PERSEPSI MAHASISWA TERHADAP SISTEM APLIKASI SIMPKL PADA IMPLEMENTASI KEGIATAN PRAKTEK KERJA LAPANGAN MENGGUNAKAN ANALISIS TAM ]]>
<![CDATA[Putriaji Hendikawati]]>;
<![CDATA[Nur Hidayati]]>
<![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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<![CDATA[SimPKL adalah sistem aplikasi online yang didesain untuk memfasilitasi mahasiswa yang akan melaksanakan kegiatan Praktik Kerja Lapangan (PKL). Sistem ini dibuat untuk mengorganisir seluruh aktifitas mahasiswa yang terkait dengan kegiatan PKL mulai dari awal proses perencanaan sampai dengan pelaporan PKL. Penelitian ini bertujuan mendeskripsikan persepsi mahasiswa terhadap sistem aplikasi simPKL pada implementasi kegiatan PKL. Sampel dalam penelitian ini adalah 115 mahasiswa nonkependidikan di FMIPA yang sedang dan telah melaksanakan PKL. Data dikumpulkan dengan menggunakan angket dan dianalisis menggunakan Technology Acceptance Model (TAM) dengan mengukur Perceived Ease of Use dan Perceived Usefulness. Hasil penelitian menunjukkan bahwa pengguna simPKL merasa bahwa sistem simPKL dapat membantu mereka dalam proses PKL, namun kemudahan dan kemanfaatannya belum dirasakan secara maksimal. Hal ini terlihat dari skor persepsi pengguna yang berada dalam kriteria sedang. Selanjutnya perlu dilakukan evaluasi terhadap penggunaan simPKL dan mengkaji kembali beberapa bagian sistem yang memuat alur proses mulai tahap persiapan sampai dengan pelaporan kegiatan agar dapat mendukung pelaksanaan kegiatan PKL lebih baik lagi.]]>
<![CDATA[RANCANG BANGUN DASHBOARD KEPEGAWAIAN SEKOLAH TINGGI ILMU EKONOMI MUSI RAWAS (STIE MURA) LUBUKLINGGAU ]]>
<![CDATA[Davit Irawan]]>;
<![CDATA[Asep Toyib Hidayat]]>
<![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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<![CDATA[The problem in this research is the process of employee data processing at the MusiA Rawas Economics School (STIE MURA) Lubuklinggau is still done semi-manually by using Microsoft Word and Excel so that employee data processing is still less effective and time-consuming. This research uses knowledge management methods. The results showed that the design program was an online dashboard application using the PHP programming language and MySQL database and Adobe Dreamweaver CS3 as the media for writing program listings. This research can be concluded that this web-based application can produce information to improve the quality of employee data processing quickly, effectively and efficiently. This is what was done by researchers in this research study. This research will produce a prototype product and the results of this research will be published in a non-accredited national journal.]]>
<![CDATA[IMPLEMENTASI SUPPORT VECTOR MACHINE PADA ANALISA SENTIMEN TWITTER BERDASARKAN WAKTU ]]>
<![CDATA[Faisal Rahutomo]]>;
<![CDATA[Imam Fahrur Rozi]]>;
<![CDATA[Haris Setiyono]]>
<![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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<![CDATA[Sentiment analysis is one branch of science from data mining that aims to analyze, understand, process, and extract textual data in the form of opinions on entities such as products, services, organizations, individuals, and certain topics. In determining positive, negative or neutral categories, a public response on twitter can be done manually by reading each tweet. This certainly requires a lot of time and takes a lot of energy. In this study using the Support Vector Machine classification algorithm to classify tweet data into positive, negative or neutral sentiments. Analysis is carried out based on a certain time span, because each time can have a different topic of discussion and from the results of these data can be seen the development of sentiment trends and can be seen how the public response to a particular topic. The tweet data is obtained by crawling periodically with the target keywords of the names of candidates and vice president in the 2019 election. The dataset used in this study uses 600 tweets. In testing the classification using k-fold cross validation by dividing into 10 data parts, average value of 66% accuracy, 67% precision and 66% recall.]]>
