Techno Nusa Mandiri http://ejournal.nusamandiri.ac.id/index.php/techno <p>The TECHNO Nusa Mandiri: Journal of Computing and Information Technology is a journal published by LPPM Universitas Nusa Mandiri. The TECHNO Nusa Mandiri:&nbsp;Journal of Computing and Information Technology was originally intended to accommodate scientific papers made by Informatics Engineering lecturers. TECHNO Nusa Mandiri Journal has ISSN: <a title="Print Media" href="http://issn.pdii.lipi.go.id/issn.cgi?daftar&amp;1180425415&amp;1&amp;&amp;" target="_blank" rel="noopener"><strong>1978-2136</strong></a> (Print Media) and <a title="Online Media" href="http://issn.pdii.lipi.go.id/issn.cgi?daftar&amp;1452590549&amp;1&amp;&amp;" target="_blank" rel="noopener"><strong>2527-676X</strong></a> (Online Media). The TECHNO Nusa Mandiri:&nbsp;Journal of Computing and Information Technology have the accredited National Journal status is accredited by the Indonesian Ministry of Research and Higher Education at the Sinta S4 level, in accordance with Decree on Strengthening SK Research and Development Number 21 / E / KPT / 2018 which has been in effect since July 9, 2018, for 5 years. Source: <a title="Salinan Surat Keputusan Peringkat Akreditasi Elektronik Periode I 2018" href="http://risbang.ristekdikti.go.id/wp-content/uploads/2018/07/Salinan-Surat-Keputusan-Peringkat-Akreditasi-Elektronik-Periode-I-2018.pdf" target="_blank" rel="noopener">Risbang Ristekdikti.go.id</a>. This journal is&nbsp;Rank 4 Accreditation Certificate (S4), Accreditation is valid for 5 years. Starting from Vol. 13, No. 1 the Year 2016 to Vol. 17, No. 1 the Year 2020.&nbsp;<span class="tlid-translation translation"><span title="">Journal of TECHNO Nusa Mandiri, re-accreditation remains at Rank 4 (SINTA 4), starting Vol. 16 No. 2 of 2019 based on the Decree of the Minister of Research and Technology / National Research and Innovation Agency Number 85/M/ KPT/2020, April 1, 2020</span></span></p> Lembaga Penelitian dan Pengabdian Pada Masyarakat en-US Techno Nusa Mandiri 1978-2136 <p>The copyright of any article in the TECHNO Nusa Mandiri Journal is fully held by the author under the Creative Commons CC BY-NC license.</p> <ol> <li class="show">The copyright in each article belongs to the author.</li> <li class="show">Authors retain all their rights to published works, not limited to the rights set out on this page.</li> <li class="show">The author acknowledges that Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri) is the first to publish with a Creative Commons Attribution 4.0 International license (CC BY-NC).</li> <li class="show">Authors can enter articles separately, manage non-exclusive distribution, from manuscripts that have been published in this journal into another version (for example: sent to author affiliation respository, publication into books, etc.), by acknowledging that the manuscript was published for the first time in Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri);</li> <li class="show">The author guarantees that the original article, written by the stated author, has never been published before, does not contain any statements that violate the law, does not violate the rights of others, is subject to the copyright which is exclusively held by the author.</li> <li class="show">If an article was prepared jointly by more than one author, each author submitting the manuscript warrants that he has been authorized by all co-authors to agree to copyright and license notices (agreements) on their behalf, and agrees to notify the co-authors of the terms of this policy. Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri) will not be held responsible for anything that may have occurred due to the author's internal disputes.</li> </ol> CLASSIFICATION OF STUNTING STATUS IN TODDLERS USING NAIVE BAYES METHOD IN THE CITY OF MADIUN BASED ON WEBSITE http://ejournal.nusamandiri.ac.id/index.php/techno/article/view/3337 <p>Stunting pada balita merupakan masalah gizi kronis yang sedang dialami dunia kesehatan. Anak dengan kondisi stunting mengalami kecenderungan penurunan tingkat kecerdasan, gangguan berbicara dan kesulitan dalam menangkap pembelajaran dalam metode yang biasa. Kota Madiun masih menghadapi tantangan dalam permasalahan gizi stunting. Prevalensi angka stunting tahun 2020 sebesar 10,18 persen atau 814 anak dari total 7.996 yang diukur. Penggunaan data mining dapat digunakan dalam berbagai bidang yang berhubungan dengan sekumpulan data yang banyak. Terdapat beberapa teknik pengerjaan data mining dalam pengambilan suatu informasi, diantaranya adalah klasifikasi. Umumnya klasifikasi status stunting menggunakan&nbsp;indeks TB/U atau tinggi badan dibanding usia. Pada penelitian ini, metode yang digunakan adalah metode naive bayes, yakni metode yang digunakan untuk memprediksi berbasis probabilitas, sistem yang dibangun menggunakan bahasa pemrograman python dan flask sebagai framework-nya. Dari hasil pengujian yang dilakukan menunjukkan bahwa metode naive bayes dapat digunakan dalam melakukan klasifikasi terhadap status stunting pada balita. Algoritma Naïve Bayes yang diimplementasikan ini, memiliki performansi nilai rata-rata yaitu akurasi sebesar 58%, precision sebesar 68%, dan recall sebesar 58% dari hasil pengujian confusion matrix dengan 30% data testing dan 70% data training.</p> Abdul Rozaq Ari Joko Purnomo ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-29 2022-09-29 19 2 69 76 10.33480/techno.v19i2.3337 SENTIMENT ANALYSIS FOR PHARMACEUTICAL COMPANY FROM SOCIAL MEDIA USING ADAPTIVE COMPRESSION (ADACOMP) WITH RANDOM UNDER SAMPLE (RUS) AND SYNTHETIC MINORITY OVER-SAMPLING (SMOTE) http://ejournal.nusamandiri.ac.id/index.php/techno/article/view/3441 <p>Pharmaceutical company has become the most highlight company across the world lately because of the pandemic. Despite of the high demand market in pharmaceutical company, about 94% of large company across the world having difficulty in their supply chain that indirectly affect their services. The purpose of this research is to compare word embedding with compression model by doing sentiment analysis about the entity to find the best model that give better accuracy rates&nbsp;based on the opinion of Twitter, Instagram and Youtube, as they are the largest &nbsp;platform that its many users to express their opinions about an individual or an instance. Data is retrieved from Twitter, Instagram and Youtube using the R-Studio application by utilizing their API library, then preprocessing and stored in a database. Next step is labeling&nbsp;the data and then train the data using word2Vec and LSTM, GloVe and LSTM and lastly using Adaptive Compression (adaComp) to compress the both model word embedding.&nbsp;Unfortunately, we got imbalanced dataset after labeling process, so we add sampling technique to sampling the dataset using Random Under Sample (RUS) and Synthetic Minority Over-sampling Technique (SMOTE).&nbsp;After the data are trained and tested, the results will be evaluated using Confusion Matrix to get the best Accuracy. With several models that have been carried out,applying adaComp is proven to increase accuracy. In the Word2Vec word embedding with LSTM model, applying adaComp increasing its accuracy from 77% to 81%.</p> Pamungkas Setyo Wibowo Andry Chowanda ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-29 2022-09-29 19 2 77 86 10.33480/techno.v19i2.3441 E-LEARNING IMPLEMENTATION BARRIER IN INDONESIA: A CASE STUDY http://ejournal.nusamandiri.ac.id/index.php/techno/article/view/3034 <p><em>Abstract</em><em>—Pandemic forces many educational institutions to change their learning delivery. One of the solutions is using eLearning. But, eLearning implementation faces a lot of barriers. This study tried to find the main barrier in eLearning in Indonesia. Systematic Literature Review and Descriptive statistics were used to collect and analyze our findings. The results of this study are separated into four categories: human, technology, organizational, and financial factors. Human factors include lack of interaction, hard to assimilate material, boredom, exhaustion, lack of preparation, and harder to meet the need. Technological factors include lack of technical advice, device, the internet, and power problems. The organizational factor is a lack of technical support. From the financial factors are expensive internet and device. These obstacles need to be addressed separately because each barrier has a different approach to solve.</em></p> <p><strong><em>Keywords: </em></strong><em>Barriers, Covid-19, eLearning, SLR, Statistic Descriptive </em></p> <p><strong>Intisari</strong><em>—</em> Pandemi covid-19 memaksa banyak sekali institusi Pendidikan untuk mengubah pola pengajaran yang dilakukan. Salah satu cara yang paling banyak diterapkan adalah pembelajaran dalam jaringan (daring). Namun dalam pengimplementasia pembelajaran daring ini, ditemukan banyak kendala atau penghalang. Penelitian ini berusaha untuk menemukan kendala implementasi pembelajaran daring di Indonesia. Untuk menemukan penghalang tersebut digunakan systematic literature review (SLR) dan deskriptif statistic. Dari hasil penelitian yang dilakukan didapatkan empat kategori penghambat yaitu Manusia, teknologi, organisasi dan keuangan. Dari hasil penelitian tersebut didapatkan hasil hambatan manusia yaitu kurangnya interaksi, sulitnya memahami materi, kebosanan, kelelahan, kurang persiapan dan sulitnya memenuhi keinginan siswa. Dari faktor teknologi ditemukan kendala yaitu kurangnya perangkat, sering kali adanya kendala teknis, internet dan mati lampu. Dari faktor organisasi adalah kurangnya dukungan teknis dari organisasi. Sedangkan dari faktor keuangan adalah mahalnya perangkat dan internet yang dibutuhkan. Masing-masing faktor ini harus diselesaikan secara individu dikarenakan setiap faktor memiliki penyelesain yang unik</p> <p><strong><em>Kata Kunci</em></strong><em>:</em> Covid-19, eLearning, Penghambat Implementasi, Statistik Deskriptif, SLR.</p> Deki Satria Neneng Rachmalia Feta Fitria Fitria ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-30 2022-09-30 19 2 87 95 10.33480/techno.v19i2.3034 A PROTOTYPE OF DIGITAL LIBRARY APPLICATION USING MICROFRAMEWORK FLASK http://ejournal.nusamandiri.ac.id/index.php/techno/article/view/3006 <p><em>Covid-19 encourages the use of Digital Library sources. </em><em>especially for students who are completing college assignments, students who are preparing their final project, lecturer in compling teaching material, including researchers. On the other hand, technology has developed rapidly. Technological developments have changed the pattern of human life and changed the business models of various organizations in order to survive in this digital era. However, there are still many organizations have not optimized the use of technology. One example is a university that does not yet have a Digital Library. This prompted the research team to conduct research on how to build a Digital Library. This study uses the Extreme programming (XP) software development method. This study aims to design a Digital Library prototype using a Microframework Flask. This research is expected to be a reference or model in developing digital libraries.</em></p> Ridha Sefina Samosir Ester Lumba, Miss Poltak Pancarian Situmorang, Mr ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-30 2022-09-30 19 2 96 103 10.33480/techno.v19i2.3006 COLLABORATION OF ANALYTIC HIERARCHY PROCESS AND SIMPLE ADDITIVE WEIGHTING METHOD TO DETERMINE EMPLOYEE SALARY BONUS http://ejournal.nusamandiri.ac.id/index.php/techno/article/view/2974 <p><em>I</em><em>mproving the quality of employee performance, a company needs motivation in the form of giving employee bonuses. </em><em>Bonuses are additional wages given to employees for achieving the best work that has been done in a period. </em><em>The environmental service of Sragen has implemented a bonus for its employees, however, the bonus has not been assessed based on supporting criteria so that it is not considered objective. This research was made to be able to help determine employee bonuses more objectively by using several criteria that became the basis for giving bonuses. </em><em>The criteria used are cooperation, behavior, attendance, performance, service and adaptation. </em><em>The Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods are used in this study so that the bonus calculation can be more objective. The results of the weights from the AHP will be used as a reference for the calculation of SAW. </em><em>The decision support system is developed using Java programming.</em><em> The system created can produce recommendations for the amount of bonuses received by each employee.</em></p> <p><strong><em>&nbsp;</em></strong><strong><em>Keywords</em></strong><em>: </em><em>AHP method, SAW method, </em><em>Employee Salary Bonus</em></p> <p>&nbsp;</p> <p><strong>Intisari</strong><em>—</em> Dalam meningkatkan kualitas kinerja karyawan suatu perusahaan atau instansi perlu adanya motivasi berupa pemberian bonus karyawan. Bonus upah atau gaji merupakan upah tambahan yang diberikan kepada karyawan atas pencapaian pekerjaan terbaik yang telah dilakukan dalam suatu periode. Dinas Lingkungan Hidup Sragen sudah menerapkan pemberian bonus bagi karyawannya, hanya saja pemberian bonus tersebut belum menggunakan penilaian berdasarkan kriteria-kriteria penunjang sehingga dirasa belum obyektif. Kriteria yang digunakan dalam penelitian ini antara lain kerjasama, perilaku, absensi, kinerja, pelayanan dan adaptasi.&nbsp; Penelitian ini dibuat dengan tujuan untuk dapat membantu menentukan bonus karyawan dengan lebih obyektif yaitu menggunakan beberapa kriteria yang menjadi dasar pemberian bonus. Metode <em>Analytic Hierarchy Process</em> (AHP) dan <em>Simple Additive Weighting</em> (SAW) digunakan dalam penelitian ini agar perhitungan bonus dapat lebih obyektif. Hasil bobot dari AHP akan dijadikan acuan untuk perhitungan SAW. Sistem pendukung keputusan dibuat menggunakan pemrograman Java. Sistem yang dibuat dapat menghasilkan rekomendasi besaran bonus gaji yang diterima masing-masing karyawan.</p> <p><strong><em>&nbsp;</em></strong><strong><em>Kata Kunci</em></strong><em>: metode AHP, metode SAW, bonus karyawan.</em></p> Heribertus Ary Setyadi Ahmad Fauzi Galih Setiawan Nurohim ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-30 2022-09-30 19 2 104 110 10.33480/techno.v19i1.2974 SATISFACTION ANALYSIS OF RESPONSIVE WEB DESIGN (RWD) USING PIECES METHOD IN YOBAGI: TECHNOLOGY PLATFORM BASED ON SOCIALPRENEURSHIP http://ejournal.nusamandiri.ac.id/index.php/techno/article/view/3435 <p><em>The Covid-19 pandemic has had a huge impact on society. There have been layoffs for some people, which will have an impact on their economy, which is getting worse. Another impact was felt by MSMEs where their transactions also decreased. Yobagi is proposed to overcome this problem by becoming a social entrepreneurship-based media platform that becomes an intermediary media for anyone who has the desire to share their skills, knowledge, and experiences. Yobagi is also a marketplace for MSMEs to promote their products or services. The purpose of this research is for people to improve their skills, be able to innovate, so they can run new businesses to improve their economy. Likewise, MSMEs have increased their transactions. The research uses the prototype method which consists of five stages, namely Communication, Quick Plan, Modeling Quick Plan, Construction of Prototype, and Deployment. The result of the research is a web-based Yobagi application that functions well, as evidenced by functional testing using the Blackbox method. Furthermore, the Responsive Web Design feature on the Yobagi system was also tested to test the performance of the features on several different types of smartphones.</em></p> Dwi Yuny Sylfania Rendy Rian Chrisna Putra Fransiskus Panca Juniawan ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-30 2022-09-30 19 2 111 117 10.33480/techno.v19i2.3435 IMPLEMENTATION OF THE WEIGHT PRODUCT METHOD IN THE SYSTEM NEW STUDENT ADMISSION http://ejournal.nusamandiri.ac.id/index.php/techno/article/view/3678 <p>The development of information technology is something that cannot be separated from life today. The development of information technology, especially the internet, is certainly welcomed by all circles, and has even penetrated the world of education since the last few years, thus creating competitive competition in every educational institution. Currently, there are not many schools in Indonesia that hold new student admissions (PPDB) by utilizing the online system. Of course, this will take a very long time, because after selecting the prospective students, the committee must recap the names and grades of the students accepted. We need a system that will support decisions in the selection of new student admissions so that the resulting output is more accurate. To solve this problem, it is necessary to have a decision support system for the selection process for new admissions using the <em>Weight method</em> <em>Products </em>. With this method the PPDB selection calculation will be more objective because the calculation is based on predetermined weights and assessment criteria. So that the creation of an optimal system that will facilitate the PPDB selection process.</p> Siti Nurhasanah Nugraha Rangga Pebrianto Fani Nurona Cahya Irwan Herliawan ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-30 2022-09-30 19 2 1178 124 10.33480/techno.v19i2.3678 COMPARISON OF EIGENFACE AND FISHERFACE METHODS FOR FACE RECOGNITION http://ejournal.nusamandiri.ac.id/index.php/techno/article/view/3470 <p>Abstract— Biometric information systems have been widely used in the fields of government, shopping centers, education and even security, which offer biological authentication so that the system can recognize its users more quickly. The parts of the human body are identified by a biometric system that has unique and specific characteristics, one of which is the face. Adjustment of facial image deals with objects that are never the same, due to the parts that can change. These changes are caused by facial expressions, light intensity, shooting angle, or changes in facial accessories. With this, the same object with several differences must be recognized as the same object. In this study, the data used were 388 face images and the sata test consisted of 30 face images. Before the face is tested, preprocessing and feature extraction are carried out using the Haar Cascade Classifier and then detected using Eigenface and Fisherface. Based on the research results, the Fisherface method is an algorithm that is accurate and efficient compared to the Eigenface algorithm. The Fisherface algorithm has an accuracy of 88%. while the Eigenface method has an accuracy rate of 76%.</p> <p>Keywords – <em>Haar Cascade Classifier</em><em>,</em><em> Eigenface,</em> <em>Fisherface</em><em>,</em><em>.</em></p> Elly Firasari F Lia Dwi Cahyanti Fajar Sarasati Widiastuti Widiastuti ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-30 2022-09-30 19 2 125 130 10.33480/techno.v19i2.3470 MEAT IMAGE CLASSIFICATION USING DEEP LEARNING WITH RESNET152V2 ARCHITECTURE http://ejournal.nusamandiri.ac.id/index.php/techno/article/view/3932 <p><em>Meat is a food ingredient that can be consumed by humans and consists of essential nutrients, especially protein, which are needed for various physiological functions in the human body. Beef, goat and pork are meats that are commonly used by Indonesian people as daily processed foods. A very high level of meat consumption results in a high economic value of meat consumption. However, many people do not know how to distinguish between the types of beef, mutton and pork. This study aims to classify types of beef, goat and pork using the ResNet152V2 algorithm. The data used are 600 images with 200 images of beef, 200 images of mutton and 200 images of pork. The process carried out is pre-processing using 4 stages, namely image augmentation, image sharpness process, then the image is resized to adjust the size needed by the algorithm. The last pre-processing is to perform the image normalization process. After the pre-processing is done, then the data training stage is carried out using the ResNet152V2 algorithm to build a classification model and then the model is tested against data testing to get the results of the optimal classification of pork, goat and beef images by looking at the results of accuracy and loss values.</em></p> Daniati Uki Eka Saputri Taopik Hidayat Faruq Aziz ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-30 2022-09-30 19 2 131 140 10.33480/techno.v19i2.3932 IMPLEMENTATION OF THE RIJNDAEL ALGORITHM ON WEB-BASED WHISTLEBLOWING SYSTEM http://ejournal.nusamandiri.ac.id/index.php/techno/article/view/3861 <p><em>In carrying out its responsibilities, an employee works for an agency or company and also works with his colleagues, whether they are co-workers or their own superiors. So it is very important for an employee to gain trust in his work environment. If there is a violation or behavior that deviates from an employee in the work environment, then there must be someone who reports it but of course by protecting the identity of the reporter. Based on these problems, the authors make and design a web-based whistle blowing application to protect the identity of people who report violations that occur in their work environment. This whistle blowing web is created using cryptographic algorithm methods. Cryptographic algorithms work by disguising data or information into a form of password that has no meaning. The author uses the Rijndael algorithm to encrypt the complainant's data. So that by using the Rijndael algorithm on this web-based Whistleblowing system, the data or reporting information will be safe in the database and it is hoped that an optimal system will be created for data and information security</em></p> Abdul Latif Ai Ilah Warnilah Siti Khotimatul Wildah ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-30 2022-09-30 19 2 141 148 10.33480/techno.v19i2.3861