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All Journal Proceeding International Conference on Information Technology and Business Tech-E Jurnal TAM (Technology Acceptance Model) Jusikom : Jurnal Sistem Komputer Musirawas Prosiding Seminar Nasional Darmajaya IJISCS (International Journal Of Information System and Computer Science) Jurnal Teknologi Komputer dan Sistem Informasi Technologia: Jurnal Ilmiah JPGMI (Jurnal Pendidikan Guru Madrasah Ibtidaiyah Al-Multazam) Jurnal PkM: Pemberdayaan Masyarakat IJAIRTec JIBTec (Journal of Intelligent Business and Technology Science) Jurnal Teknologi dan Informatika (JEDA) Jurnal KALANDRA Joong-Ki Journal of Learning Technology Journal of Ethics and Character Education Journal of Marketing and Business Intelligence Joong-Ki International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) Jurnal TAM (Technology Acceptance Model) IJISCS (International Journal of Information System and Computer Science) JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Siti Mukodimah
Institut Bakti Nusantara
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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SIMPLE ADDITIVE WEIGHTING METHOD AS A DECISION- MAKING MODEL FOR DETERMINING FRUIT QUALITY BANANA SEEDS IN TANGGAMUS LAMPUNG Meyla Nurvita; Siti Mukodimah
International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) Vol. 1 No. 3 (2021): International Journal of Artificial Intelligence and Robotic Technology (IJAIRT
Publisher : International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec)

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Abstract

Banana is a fruit that is very easy to find anywhere and anytime, because of its nature that can bear fruit at any time without waiting for the season to come like other fruits , especially in tropical regions such as the country of Indonesia and because of the many types and kinds of this fruit, ranging from those the size of a little finger to those that are the size of an avocado, all taste very sweet. Bananas are also associated with the local culture, examples of certain types of bananas are usually used as ubo rampes from a certain traditional ceremony. The study was conducted to determine the quality of banana fruit seeds in Tanggamus Lampung which was carried out using the Simple Additive Weighting method is one of the weighted summation methods. The basic concept of the Simple Additive Weighting method is to look for weighted summations with performance ratings on each alternative on all attributes. This aims to facilitate the research process of the results of this study. The results of the study conducted were based on calculations above V1 (weight of banana mas) = 0.875%, V2 (weight of banana pupae) = 0.725%, and V3 (weight of banana horn) = 0.6%.
Decision Support System Selection Of Department At Telkom Vocational School, Lampung Using The Topsis Method Arjuna Primanada; Siti Mukodimah
International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) Vol. 2 No. 2 (2022): International Journal of Artificial Intelligence and Robotic Technology (IJAIRT
Publisher : International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec)

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Abstract

In this era of technology, information technology is developing rapidly. The problem raised this time is how to determine the majors that match the abilities of new students at SMK Telkom Lampung. Because in the activity of determining the majors at SMK Telkom Lampung. The school has not implemented a computerized system optimally because the majority of majors are still using a manual system. On this occasion the method that will be used to assist in the selection of majors at SMK Telkom Lampung is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The TOPSIS method is based on the concept that the best selected alternative not only has the shortest distance from the positive ideal solution, but also has the longest distance from the negative ideal solution. The TOPSIS method also has a simple and relatively easy-to-understand concept, is computationally efficient, and has the ability to measure the relative performance of each decision alternative in a simple mathematical form. In applying the selection of majors using the Decision Support System, it is hoped that it can really help facilitate and make the desired results in selecting majors more accurate, save time and get results faster. The decision support system for selecting majors at SMK Telkom Lampung can be further developed by creating a system where each test result that becomes a criterion is directly connected to the decision support system for selecting this major.
DECISION SUPPORT SYSTEM FOR RECEIVING PKH ASSISTANCE USING THE SAW AND WP METHODS Husaeni; Siti Mukodimah; Ferry Susanto
International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) Vol. 2 No. 3 (2022): International Journal of Artificial Intelligence and Robotic Technology (IJAIRT
Publisher : International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec)

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Abstract

Poverty in Indonesia is very concerning, therefore the government created an assistance program for poor families, namely PKH , to help determine in determining someone who is eligible to receive this assistance in Bagelen Village, a decision support system is needed because it can minimize the occurrence of errors in determining in selecting residents who wish to get PKH assistance , therefore the purpose of this research is to reduce the wrong target in making decisions in providing PKH assistance . Because there are still many decision-making errors in the provision of program assistance, Bagelen Village, Gedong Tatataan District, Pesawaran Regency, Lampung is one of the villages designated as beneficiary families whose components include school children, toddlers, pregnant women, the elderly, and those with severe disabilities. This program requires that Very Poor Households (RTSM) can follow the requirements set by the government in the program. The requirements are sending their children to education, as well as carrying out routine visits to health facilities for toddlers and pregnant women. From visits to several families receiving the PKH Program, families who receive this assistance can be said to meet the criteria desired by the Indonesian government. From PKH assistance recipients, valid data or definite data will be obtained and will soon be taken care of by the local village government. It is hoped that the data obtained can be used properly and correctly according to the needs of the families receiving PKH assistance. The author uses the SAW and WP methods to get or select which poor families are entitled to this assistance because the SAW and WP methods can calculate more easily, quickly , and precisely, can be calculated manually as well as computer systems, using these two methods requires criteria for conduct an assessment, and the final result of the SAW and WP methods is to determine whether or not the PKH beneficiary is eligible or not based on the results of the calculations of the two methods.
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 | DOI: 10.56327/jurnaltam.v9i1.595

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 | DOI: 10.56327/jurnaltam.v10i1.741

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.
THE NAÏVE BAYES METHOD AS A MEASUREMENT MODEL EFFECTIVENESS OF ONLINE LEARNING Siti Mukodimah; Muhamad Muslihudin; Suyono Suyono; Trisnawati Trisnawati; Baqiatus Solihah
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.
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.
DECISION SUPPORT SYSTEM OF ACHIEVED STUDENTS USING WEIGHTED PRODUCT METHOD Dewi Rahayu; Siti Mukodimah
IJISCS (International Journal of Information System and Computer Science) Vol 3, No 2 (2019): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v3i2.800

Abstract

Constitution of the Republic of Indonesia No. 12 of 2012 that part of the national education system has a strategic role in educating the life of the nation. Students are people who are trying to develop themselves through the process of education on the path, level and type of education. The Weighted Product method is chosen because the method is solved by using multiplication to connect the value of the attribute, where the value must be raised with the attribute weight value in question. Criteria that have been determined include: average value, discipline, attendance, extracurricular, and Non-Academic. The results of this study there are 6 alternatives, obtained the value of Agus = 0.1618 as the student with the lowest value and the value of Intan = 0.1748 as the best student
Co-Authors Abdul Hamid Agus Irawan Agus Irawan Ahlun Nazar Ahmad Sulaiman, Ahmad Aji, Dwiki Wachyu Alexsander, Gilbert Andino Masaleno Andreas Andoyo Arjuna Primanada Bambang Ari Wibowo Baqiatus Solihah Chairani Chairani Desti Tri Lestari Dewi Rahayu Dian Puspita Didi Susianto Emha Nabilah Alparisa Erma Dwiyani Erma Dwiyani Evi Rahmawati Fauzi Febriyani, Eva Ferry Susanto Fiqih Satria Fitriani, Salwa Nur handoyo widi nugroho Husaeni Husaeni Husaeni Juliyanto, Edi Khoirum Mustofa Khozainuz Zuhri Lestari, Desti Tri Linda Monika Mardiyanto Mardiyanto Meyla Nurvita Meyla Nurvita Miswan Gumanti Muhamad Muslihudin Muhammad Andriansyah Muhammad Andriansyah Andriansyah Muhammad Idris Muhammad Idris Nadya Fitri Ayu Ningtias Noca Yolanda Sari Nungsiyati . Panji Andika Pratomo Ponidi Ponidi Priyono Priyono Putra, Eki Pramudia Sukarno Ranti Wulantika Riki Renaldo Riki Renaldo Riki Renaldo RIKI RIKI, RIKI Sari, Keni Puspita Satria Abadi Sela Agnes Aprilia Sri Hartati Sri Hartati Sri Ipnuwati Suhanda, Ifan Suprapti Suprapti Suranto Suranto Susanto, Ferry Suyono Suyono Suyono Tiara, Seregia Reffa Tri Susilowati Trisnawati Trisnawati Trisnawati Trisnawati Trisnawati Tuti Puspitasari Tutik Ismariyati Wahyu Sulistianing Budi Wilson, Faustinus Alfaro Yuntriani Yuntriani