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Journal : Jurnal TAM (Technology Acceptance Model)

LPPM FINANCIAL APPLICATION STMIK BASED DESKTOP AND MYSQL SERVER Bambang Ari Wibowo; Muhamad Muslihudin; Siti Mukodimah
Jurnal TAM (Technology Acceptance Model) Vol 11, No 1 (2020): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.717 KB)

Abstract

Application is a supporting component that can be used to help daily student needs such as data processing, image processing, number processing, and others. In an effort to improve the service of the Ministry of Research and Community Services Institute of High School Management Informatics and computer PRINGSEWU develop Financial action Payment Journal High School Informatics Management and Pringsewu computer. The application was developed with a waterfall model and designed with the concept of a well-sealed model with the stage of the development of the context diagram and lowered to the Data Flow diagram. The application was developed using the desktop model using the Delphi programming language and combined to a server system and MySQL database. Results of the study and the implentation of the financial application system of the Institute of Research and community service of high school informatics management and computer PRINGSEWU all applications are well integrated and the application system is running as it is recorded The journal payment data and the data of the registered student can be accommodated quickly and precisely.
PERFORMANCE ASSESSMENT OF VILLAGE APPARATUS "WARINGINSARI TIMUR" WHEN WFH USING WEIGHTED PRODUCT AND SIMPLE ADDITIVE WEIGHTING METHODS Nungsiyati Nungsiyati; Siti Mukodimah; Evi Rahmawati
Jurnal TAM (Technology Acceptance Model) Vol 12, No 1 (2021): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v12i1.1030

Abstract

One of the ways that the government can improve the quality of village apparatus performance is to conduct a performance assessment. The performance assessment aims to provide morale to village apparatus to continue to improve their performance. The problem that occurs is the number of assessment criteria used in the performance appraisal. The method used in assessing the performance of village apparatus uses the Weighted Product and Simple Additive Weighting methods to provide recommendations for assessing the performance of village apparatus. In accordance with the results of the tests that have been carried out, the calculation results of the preference value of Simple Additive Weighting have a performance that can be said to be better than the Weighted Product because Simple Additive Weighting is able to minimize the preference value on the same alternative. From the results of the comparison between the calculation of Simple Additive Weighting and Weighted Product, the results of testing the application of the Weighted Product (WP) and Simple Additive Weighting (SAW) methods in the decision support system for assessing the performance of village apparatus is that decision support using two methods can produce the best alternative and has accuracy which is high when combined with using a website-based application using criteria that are tailored to the needs of village apparatus, especially during the work period using the current WFH (Work From Home) model. Application Test Results can be used as a basis for structured decision making to support the quality assurance process for Village services in Waringinsari Timur
SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA GURU SEKOLAH DASAR KECAMATAN GUNUNG ALIP MENGGUNAKAN METODE TOPSIS Tri Susilowati; Ahlun Nazar; Siti Mukodimah; Muhammad Idris; Fiqih Satria
Jurnal TAM (Technology Acceptance Model) Vol 9, No 1 (2018): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (476.401 KB)

Abstract

Pada setiap instansi pendidikan terkadang diperlukannya suatu sistem penilaian kinerja guru, hal ini bertujuan untuk meningkatkan kualitas guru yang baik. Namun pada Sekolah Dasar Negeri 1 Banjar Negeri penilaian kinerja gurunya masih menggunakan sistem manual, yaitu sistem DP3 dimana nilai tersebut ditulis di kertas dengan format yang sudah ditentukan. Hal ini membutuhkan waktu yang lama, mengingat guru sekolah dasar yang banyak, dengan kriteria yang banyak pula. Permasalahan ini membuat peneliti ingin mengadakan penelitian dan merancang sebuah sistem pendukung keputusan penilaian kinerja guru pada Sekolah Dasar Negeri 1 Banjar Negeri.Metode TOPSIS (Technique For Order Preference bySimiliarity to Ideal Solution) merupakan salah satu metode yang sering digunakan dalam penentuan suatu keputusan, peneliti menggunakan metode ini. Adanya sistem pendukung keputusan ini membantu kepala sekolah dalam menilai guru, sehingga penilaian kinerja guru dapat dilakukan secara cepat dan tepat.
SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN HAMA PENYAKIT TANAMAN JAGUNG MENGUNAKAN SIMPLE ADDITIVE WEIGHTING Suprapti Suprapti; Siti Mukodimah; Erma Dwiyani
Jurnal TAM (Technology Acceptance Model) Vol 10, No 1 (2019): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.236 KB)

Abstract

The development of globalization that agricultural diindonesia still many problems to be overcome .To help in determining pest disease , it takes the support system decision .A method of  simple additive weighting used to scrutinize pest plant disease corn .This method chosen because it is able to select alternative best of a number of the alternatives .A function of this method that is determine the value of weights to each alternative and kriteria-kriteria the judgment that has been determined .There are seven the criteria used in this research viz: caterpillar leaves, flies seeds, caterpillar agrotis, bulai, blight leaves or the rust leaves, caterpillar tongkol, new leaves and new stems.Of the study were obtained three scores alternative highest namely v1 with the 0,64, v2 with the 0.76 and v5 with the 0,96 and three the alternative elected as an alternative worst expressed meet the criteria pest plant disease corn.
COMPARISON OF TREE IMPLEMENTATION, REGRESSION LOGISTICS, AND RANDOM FOREST TO DETECT IRIS TYPES Siti Mukodimah; Chairani Fauzi
Jurnal TAM (Technology Acceptance Model) Vol 12, No 2 (2021): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v12i2.1074

Abstract

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.
ENTERPRISE ARCHITECTURE PLANNING (EAP) AS A STRATEGIC PLAN FOR INFORMATION SYSTEM MANAGEMENT TO IMPROVE THE SERVICE QUALITY FOR MULTAZAM VOCATIONAL SCHOOL IN GISTING Fauzi Fauzi; Siti Mukodimah; Abdul Hamid
Jurnal TAM (Technology Acceptance Model) Vol 13, No 1 (2022): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v13i1.1177

Abstract

Information technology is moving more and more forward and developing from time to time. One of the roles of information technology which is growing is the use of information technology to improve the governance of educational institutions from high schools to universities. Every educational institution is required to have models and standards which can be implemented as a basis for improving the alignment between business strategy and information technology. Enterprise Architecture Planning or commonly called (EAP) is one method which can be applied in making information architecture plans. The stages in EAP consist of data architecture, application architecture, technology architecture, and designs which have been made and can be implemented to support the achievement of the organization's mission. The system design uses flowchart design, use case diagrams, and class diagrams. Research conducted at Multazam Vocational School in Gisting resulted in a strategic design. The information system of Multazam Vocational School in Gisting is based on Android as an effort to improve service quality. With good management of information systems at Multazam Vocational School in Gisting, it will make easier for all parties to interact. The school can provide information to prospective students to access information easily. All the information needed by the community can be easily obtained without having to come directly, and enough with a smartphone and online.
THE NAÏVE BAYES METHOD AS A MEASUREMENT MODEL EFFECTIVENESS OF ONLINE LEARNING Siti Mukodimah; Muhamad Muslihudin; Suyono Suyono; Trisnawati Trisnawati
Jurnal TAM (Technology Acceptance Model) Vol 13, No 2 (2022): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v13i2.1283

Abstract

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.