Techno Nusa Mandiri : Journal of Computing and Information Technology
Jurnal TECHNO Nusa Mandiri, merupakan Jurnal yang diterbitkan oleh Pusat Penelitian Pengabdian Masyarakat (PPPM) STMIK Nusa Mandiri Jakarta. Jurnal TECHNO Nusa Mandiri, berawal diperuntukan menampung paper-paper ilmiah yang dibuat oleh dosen-dosen program studi Teknik Informatika.
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270 Documents
<![CDATA[IDENTIFICATION OF HERBAL PLANT BASED ON LEAF IMAGE USING GLCM FEATURE AND K-MEANS ]]>
<![CDATA[Recha Abriana Anggraini]]>;
<![CDATA[Fanny Fatma Wati]]>;
<![CDATA[Muhammad Ja’far Shidiq]]>;
<![CDATA[Ade Suryadi]]>;
<![CDATA[Haerul Fatah]]>;
<![CDATA[Desiana Nur Kholifah]]>
<![CDATA[ Jurnal Techno Nusa Mandiri Vol 17 No 1 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Pada Masyarakat ]]>
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DOI: 10.33480/techno.v17i1.1087
<![CDATA[Medicinal plants are one of the groups of plants that have enormous benefits for humans because they can help the medical process for healing disease. Herbal plants can be used as ingredients for medicines, medicines produced from herbal plants are also natural. Lack of knowledge of herbal plants causes people to prefer chemical-based medicines to help cure their diseases, even though chemical-based drugs have side effects on human health. This study aims to identify types of herbal plants based on the extraction of contrast, correlation, energy, and homogeneity features as well as shape recognition based on metric and eccentricity values. The method used in this research is GLCM features and K-means clustering. In this study, the data used consisted of 352 data divided into 320 training data and 32 testing data. This research succeeded in identifying and classifying herbal plant species using GLCM features and K-means clustering segmentation with an average accuracy value of 85.94%.]]>
<![CDATA[ANALYSIS OF NEURAL NETWORK CLASSIFICATION ALGORITHM TO KNOW THE SUCCESS LEVEL OF IMMUNOTHERAPY ]]>
<![CDATA[Agung Fazriansyah]]>;
<![CDATA[Mochammad Abdul Azis]]>;
<![CDATA[Yudhistira Yudhistira]]>
<![CDATA[ Jurnal Techno Nusa Mandiri Vol 17 No 1 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Pada Masyarakat ]]>
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DOI: 10.33480/techno.v17i1.1089
<![CDATA[Cancer is a disease that is feared by humans at this stage, the genetic term of most diseases that have the characteristics of abnormal cell growth and beyond the normal cell limits so that they can attack cells that cover and are able to spread to other organs. For cancer recovery therapy is immunization therapy. Of course in this alternative treatment still needs to be done research to determine the level of success with existing conditions and parameters. Increasingly sophisticated, developing technology that helps human work. The neural network algorithm is used to analyze large datasets, the purpose of this study is to find the accuracy and immunotherapy methods of the dataset using a neural network learning machine with 200 data training cycles, 0.9 momentum and 0.01 learning levels that produce quite high accuracy 80 % and AUC value of 0.738]]>
<![CDATA[IMPLEMENTATION OF DECISION TREE AND K-NN CLASSIFICATION OF INTEREST IN CONTINUING STUDENT SCHOOL ]]>
<![CDATA[Daniati Uki Eka Saputri]]>;
<![CDATA[Fitra Septia Nugraha]]>;
<![CDATA[Taopik Hidayat]]>;
<![CDATA[Abdul Latif]]>;
<![CDATA[Ade Suryadi]]>;
<![CDATA[Achmad Baroqah Pohan]]>
<![CDATA[ Jurnal Techno Nusa Mandiri Vol 17 No 1 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Pada Masyarakat ]]>
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DOI: 10.33480/techno.v17i1.1289
<![CDATA[Education is important to prepare quality Human Resources (HR) because quality human resources is an important factor for the nation and state development. Therefore, it is expected that every citizen has the right to get high educational opportunities from the 12-year compulsory education level. This study aims to implement the Decision Tree and K-NN algorithm in the classification of student interest in continuing school. This study proposes combining the Decision Tree and K-NN algorithm methods to improve accuracy with the Gain Ratio, Information Gain and Gini Index approaches for the measurement process. The test results show that the use of the Decision Tree algorithm produces an accuracy value of 97.30% while using the K-NN algorithm produces an accuracy of 89.60%. While the proposed method by combining the Decision Tree and K-NN algorithms produces an accuracy value of 98.07%. The results of evaluation measurements using the Area Under Curve (AUC) on the Decision Tree algorithm are 0.992 and the AUC on K-NN is 0.958 and on the combination of the Decision Tree and K-NN algorithms of 0.979. These results indicate that the proposed algorithm is very significant towards increasing accuracy in the classification of the interests of high school students continuing school]]>
<![CDATA[MULTIMEDIA LEARNING FOR WUDHU AND SHOLAT PROCEDURES ANDROID BASED AT TK PERTIWI 01 SERANG ]]>
<![CDATA[Widiastuti Widiastuti]]>;
<![CDATA[Siti Masturoh]]>;
<![CDATA[Ahmad Hafidzul Kahfi]]>;
<![CDATA[M Rangga Ramadhan Saelan]]>;
<![CDATA[Ridan Nurfalah]]>;
<![CDATA[Muhammad Hilman Fakhriza]]>
<![CDATA[ Jurnal Techno Nusa Mandiri Vol 17 No 1 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Pada Masyarakat ]]>
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DOI: 10.33480/techno.v17i1.1290
<![CDATA[Wudhu is one way to purify oneself from uncleanness and suffering. Performing ablution perfectly in accordance with Islamic Shari'a is the key to receiving prayer. The introduction of religious activities such as ablution and prayer from an early age is considered necessary. Learning ablution and prayer is usually done by parents repeatedly and by example. In one study, 8 out of 10 children aged 5-6 years did not recognize ablution when they were praying. The method of developing multimedia systems by Luther-Sutopo is one of the system development methods used by multimedia application developers. Therefore it will be built an Android operating learning media that uses Adobe Flash technology to display an animated image, motion, and audio in a 2-dimensional form. This learning media will display 2-dimensional objects of ablution movements, namely intentions, washing both feet and prayer after ablution, and prayer movements from beginning to end and added a few daily prayers. The results of this study are in the form of learning applications for ablution and five-time prayer based on Android. In this application using elements of text, images, animations, and sounds to attract and make it easier for children to remember lessons on how to perform ablution and prayer and various kinds of daily prayers.]]>
<![CDATA[DIAGNOSIS OF HEART DISEASE USING AUTOMATA FINITE STATE ALGORITHM ]]>
<![CDATA[Tony Yudianto Pribadi]]>;
<![CDATA[Kartika Handayani]]>;
<![CDATA[Angelina Puput Giovani]]>;
<![CDATA[Windu Gata]]>
<![CDATA[ Jurnal Techno Nusa Mandiri Vol 18 No 1 (2021): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Pada Masyarakat ]]>
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DOI: 10.33480/techno.v18i1.1364
<![CDATA[The heart is an organ of the human body that has an important role in human life and is certainly very dangerous if our heart has problems remembering that many deaths are caused by heart disease. But with minimal knowledge and information, it is impossible to be able to maintain heart health. Therefore we need an expert who is an expert on the heart and various diseases. Based on the facts above, this research can help us to diagnose heart health and anticipate if there is a risk of heart disease by designing and implementing. This application was created using the web-based Finite State Automata algorithm which is still in the form of pseudocode. In this system several questions will be asked. After all the questions are answered, the results of the diagnosis will appear along with suggestions that can help anticipate the heart disease.]]>
<![CDATA[NAÏVE BAYES AND BLACK BOX TESTING IMPLEMENTATION ON SENTIMENT ANALYSIS OF ALOE VERA PRODUCT REVIEWS ]]>
<![CDATA[Putri Ambarwati]]>
<![CDATA[ Jurnal Techno Nusa Mandiri Vol 17 No 2 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Pada Masyarakat ]]>
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DOI: 10.33480/techno.v17i2.1453
<![CDATA[Aloe vera soothing gel is one of the best-selling products and the most widely reviewed on the Althea Korea website. This product has been reviewed by 1,448 users on the Althea website. The result of the research can be used to minimize mistakes in product purchases. Besides, through a review of a product, the company can analyze the level of customer satisfaction and can be a suggestion for improvements in the future. Therefore, a system is needed to analyze the sentiment towards aloe vera soothing gel to determine the review as a positive or negative sentiment. The method used in this research is the Naïve Bayes method and uses the classification carried out by linguists as a reference for determining positive and negative sentiment. There are two tests carried out in this research, namely confusion matrix testing and black-box testing. The result of the confusion matrix test found an accuracy of 94.62% and the result of black-box testing showed that the output produced was by the application functionality.]]>
<![CDATA[USABILITY ANALYSIS ON THE ENDANGERED INDONESIAN ANIMALS AND PLANTS AUGMENTED REALITY APPLICATION ]]>
<![CDATA[Putri Syifa Darmawel]]>
<![CDATA[ Jurnal Techno Nusa Mandiri Vol 17 No 2 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Pada Masyarakat ]]>
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DOI: 10.33480/techno.v17i2.1458
<![CDATA[Knowledge about Indonesian endangered animals and plants has been taught at elementary school, but still based on text. In curriculum 2013, teachers are expected to be able to develop creative ideas such as using interactive learning media that makes learning fun for students. Interactive learning media can be used as a solution to make learning process more interesting. The use of augmented reality technology can be implemented on interactive learning media that aims to increasing elementary school children interest and make the learning process easier to teacher. This research uses descriptive quantitative method by distributing questionnaires to test HEBULA Application which is an interactive learning media for introducing endangered Indonesian animals and plants using augmented reality technology for elementary school children. Testing is done by using User Acceptance Test (UAT). This research aims to find out weather the HEBULA Application can be well receive and effectively used as a learning media. The results of this research show that HEBULA Application is suitable to be used as a learning media which is shown by the percentage of UAT eligibility of 92,6% that can be categorized as very well.]]>
<![CDATA[INFORMATION SYSTEM OF TUITION AND THESIS PAYMENT VERIFICATION WITH ADAPTIVE LAYOUT DESIGN ]]>
<![CDATA[Bambang Adiwinoto]]>;
<![CDATA[Yohanes Setiawan Japriadi]]>;
<![CDATA[Lukas Tommy]]>
<![CDATA[ Jurnal Techno Nusa Mandiri Vol 17 No 2 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Pada Masyarakat ]]>
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DOI: 10.33480/techno.v17i2.1464
<![CDATA[The verification system of tuition and thesis payment at ISB Atma Luhur which is running is felt to be less effective and efficient because students must come directly to campus with proof of payment during working hours to verify the payment. Also, there is the possibility of negligence by the finance department that only stamped the payment slip without doing a flag, consequently, related students were unable to carry out the selection of lecture groups and thesis supervisors when the schedule began. This caused them to not get the favorite lecture groups and thesis supervisors because the quota had run out. To overcome this problem, an information system for verification of tuition payment and web-based thesis verification will be developed with an adaptive layout design so that it can be accessed by laptop or smartphone users without reducing comfort during operation. The system development model and tool used in this research are the waterfall model and the Unified Modeling Language (UML), respectively. The developed system can be used by students to upload proof of payment and monitor the verification status of proof of payment that was previously uploaded. The system can also be used by the finance department to verify payments, as well as display and print payment verification reports. The developed system can be accessed anywhere and anytime so that the efficiency and effectiveness of the verification process are increased.]]>
<![CDATA[PROVISION OF MICRO CREDIT AT BANK MANDIRI BOGOR WITH THE FUZZY TSUKAMOTO METHOD ]]>
<![CDATA[Susliansyah Susliansyah]]>;
<![CDATA[Nisan Nisan]]>;
<![CDATA[Heny Sumarno]]>;
<![CDATA[Hendro Priyono]]>;
<![CDATA[Linda Maulida]]>
<![CDATA[ Jurnal Techno Nusa Mandiri Vol 17 No 2 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Pada Masyarakat ]]>
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DOI: 10.33480/techno.v17i2.1529
<![CDATA[It is an advantage for the bank, in this case, the Bank Mandiri Dramaga1 Bogor Unit, because of the increasing credit activity in banks, it is necessary to have an assessment in credit as consideration for prospective customers before the bank decides to accept or reject a prospective customer request. So it is necessary to develop a method that can assist and facilitate the bank in making decisions quickly and accurately. The basis for decision making is based on the criteria for determining who is eligible or not to receive a loan. To assist in determining whether someone is eligible or not to receive a loan, a decision support system is needed using fuzzy logic and applying the Tsukamoto method. The Lending Decision Support System was created to assist and facilitate the bank in making decisions to provide alternatives if a prospective customer applies for credit is accepted or not.]]>
<![CDATA[CLASSIFICATION OF CUSTOMER COMPLAINTS ON INSTAGRAM COMMENTS USING NAÏVE BAYES ALGORITHM WITH N-GRAM FEATURE EXTENSION ]]>
<![CDATA[Fachri Amsury]]>;
<![CDATA[Nanang Ruhyana]]>;
<![CDATA[Irwansyah Saputra]]>;
<![CDATA[Daning Nur Sulistyowati]]>
<![CDATA[ Jurnal Techno Nusa Mandiri Vol 17 No 2 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Pada Masyarakat ]]>
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DOI: 10.33480/techno.v17i2.1632
<![CDATA[Customer complaints about the company can be used as a form of self-evaluation and performance that has been carried out by the company, based on customer complaints the company can find out the weaknesses that exist in the company and fix them. The forms of submitting customer complaints are very diverse, currently not only by telephone, but customers also submit suggestions or complaints, customers can submit suggestions or complaints via electronic mail or e-mail or forums in cyberspace that are indeed created by product-producing companies to accommodate various complaints, suggestions, and direct criticism from consumers, especially social media that are free to express opinions on the delivery services used. Instagram is a social media that is more inclined towards images and on the other hand, has captions and comments text, a study is needed for the problem of customer complaints from shipping service users on an Instagram account of a delivery service company. Based on this background, a solution is needed in solving problems for text mining classification using Naïve Bayes with SMOTE techniques and N-Gram feature extraction with the usual process for text mining so that it can produce Naïve Bayes and SMOTE accuracy with an accuracy of 88.54%, before implementation. N-Gram and the accuracy rate increased by 1.44% after the N-Gram Term was applied to 89.98% by using a dataset of 776 Instagram comment text records that had to preprocess text.]]>
