SAINTEKBUPub Date : 2018-06-13DOI: 10.32764/saintekbu.v10i2.205
Mohammad Faisol Zuhri, Siti Sufaidah, Agus Sifaunajah
{"title":"RANCANG BANGUN APLIKASI RENTAL ALAT-ALAT PESTA DENGAN SISTEM NOTIFIKASI","authors":"Mohammad Faisol Zuhri, Siti Sufaidah, Agus Sifaunajah","doi":"10.32764/saintekbu.v10i2.205","DOIUrl":"https://doi.org/10.32764/saintekbu.v10i2.205","url":null,"abstract":"Basically, every rental service is a business that serves to maintain, manage, and utilize rental tools that are then provided to customers. The development of this company, the need for technology is needed to support the work of the system to more quickly and efficiently in processing letters, bill notes and notes change goods, and displays notification information in the form of schedule events to facilitate the provision of information directly to all employees. Current conditions in the rental SUYONO in running its business activities have not used the information system technology so that in the operation of the operational activities are still slow. SUYONO rental requires an information system which will support its business activities. Information System users are not only used in information and communications technology (ICT) organizations but also used by companies to support their business activities. From some shortcomings that exist in the company then the researcher is interested to make a Rental Apparatus Party with the Notification System, so the rental SUYONO in performing its operations more easily and quickly. The existence of the application of party equipment rental can help SUYONO rental to process the data in accordance with the necessary needs, as well as Output results in the form of travel documents, the bill notes, change notes, and billing reports can speed up the presentation process. With the notification in the form of event schedule information displayed on the second screen can facilitate both for employees and office staff in providing information on the event schedule directly. \u0000 \u0000Keywords: Information Systems, Party Equipment Rental, Notifications, SUYONO","PeriodicalId":21494,"journal":{"name":"SAINTEKBU","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90725583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
SAINTEKBUPub Date : 2018-06-02DOI: 10.32764/saintekbu.v10i2.196
Emilia Juliyanti Bria, Remigius Binsasi
{"title":"Kajian Vegetasi Kawasan Pasca Tambang Marmer di Kabupaten Timor Tengah Utara","authors":"Emilia Juliyanti Bria, Remigius Binsasi","doi":"10.32764/saintekbu.v10i2.196","DOIUrl":"https://doi.org/10.32764/saintekbu.v10i2.196","url":null,"abstract":"Marble is one of the industrial materials of high economic value and very beneficial to people's lives. Therefore, many explorations are done by mining companies. Exploitation of natural resources on a large scale without regard to the carrying capacity of the environment, can lead to drastic decline in the quality of the ecosystem. This is what happened in the post-mine forest area of Oenbit Village, North Central Timor District. This study aims to identify and calculate the abundance of plants and environmental factors that affect the plants in the post-marble area of Oenbit village. The method used is quadratic / plot method. The results showed that plant species with significant values above 80.00% were Anacardium occidentale L. (125.69%), Tamarindus indica L. (122.17%), Tectona grandis L.f (87.32%), and Schleichera oleosa (Lour .) Oken (82.67%). Abiotic environmental factors measured at the study sites are soil pH, soil moisture, air temperature, air humidity and light intensity. The results of these measurements showed no significant difference.","PeriodicalId":21494,"journal":{"name":"SAINTEKBU","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72787823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
SAINTEKBUPub Date : 2018-06-02DOI: 10.32764/SAINTEKBU.V10I2.190
Sunardi, Abdul Fadlil, Suprianto Suprianto
{"title":"ANALISIS SENTIMEN MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER PADA ANGKET MAHASISWA","authors":"Sunardi, Abdul Fadlil, Suprianto Suprianto","doi":"10.32764/SAINTEKBU.V10I2.190","DOIUrl":"https://doi.org/10.32764/SAINTEKBU.V10I2.190","url":null,"abstract":"Penelitian ini bertujuan untuk melakukan analisis sentimen berupa data angket mahasiswa untuk mengetahui kepuasan mahasiswa dalam proses pendidikan. Analisis sentimen adalah proses klasifikasi dokumen dan dalam penelitian ini dibagi menjadi tiga bagian, yaitu kelas positif, negatif dan netral. Klasifikasi sangat penting dalam pencarian dokumen bagi pengguna. Proses klasifikasi diawali dengan membagi koleksi dokumen menjadi data latih dan data uji. Data latih digunakan metode naïve bayes classifier sehingga diperoleh model klasifikasi untuk penentuan kelas pada data uji. Metode naïve bayes classifier adalah metode yang berdasarkan probabilitas dan teorema bayesian. Metode ini digunakan untuk mengklasifikasikan hasil data opini mahasiswa yang dituliskan pada form kepuasan angket mahasiswa terhadap dosen sehingga menghasilkan klasifikasi secara otomatis yang diinginkan. Hasil penelitian ini digunakan untuk menentukan klasifikasi dari data angket mahasiswa sehingga data mudah terbaca. Klasifikasi metode ini mempunyai tingkat precision 75%, recall 75% dan akurasi 80%. \u0000Kata Kunci: Analisis Sentimen, Naïve Bayes Classifier, Angket Mahasiswa","PeriodicalId":21494,"journal":{"name":"SAINTEKBU","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91313336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}