Jurnal Pilar Nusa Mandiri https://ejournal.nusamandiri.ac.id/index.php/pilar <p>The PILAR Nusa Mandiri Journal is a formation of the Information Systems study program, which was originally a medium for accommodating scientific writings of STMIK Nusa Mandiri Jakarta Information Systems lecturers. Along with the times, this journal has become a National journal that has P-ISSN: 1978-1946 and E-ISSN: 2527-6514. PILAR Nusa Mandiri has become a Rank 3 Accredited Journal&nbsp;and is trying to become a higher accredited journal. PILAR Journal Nusa Mandiri is published 2 times in 1 year, namely in March and September. This journal is&nbsp;<span class="tlid-translation translation"><span title="">Rank 3 Accreditation Certificate (S3), Accreditation is valid for 5 years. Starting from Vol. 12, No. 1 the Year 2016 to Vol. 16, No. 2 the Year 2020.&nbsp;Journal of PILAR Nusa Mandiri, re-accreditation remains at Rank 3 (SINTA 3), starting Vol. 15 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> en-US <div class="page"> <p>The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to the PILAR Nusa Mandiri journal as the publisher of the journal, and the author also holds the copyright without restriction.</p> <p>Copyright encompasses exclusive rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations. The reproduction of any part of this journal, its storage in databases, and its transmission by any form or media, such as electronic, electrostatic and mechanical copies, photocopies, recordings, magnetic media, etc. , are allowed with written permission from the PILAR Nusa Mandiri journal.</p> <p>PILAR Nusa Mandiri journal, the Editors and the Advisory International Editorial Board make every effort to ensure that no wrong or misleading data, opinions, or statements be published in the journal. In any way, the contents of the articles and advertisements published in the PILAR Nusa Mandiri journal are the sole and exclusive responsibility of their respective authors and advertisers.</p> </div> jurnal.pilar@nusamandiri.ac.id (Daning Nur Sulistyowati) jurnal.pilar@nusamandiri.ac.id (Technical Support) Tue, 02 Mar 2021 21:01:24 -0500 OJS 3.1.1.4 http://blogs.law.harvard.edu/tech/rss 60 DETECTION SYSTEM OF TEN FINGERPRINT PATTERN USING MATHEMATICAL MORPHOLOGY AND BACKPROPGATION ARTIFICIAL NEURAL NETWORK https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/1988 <p><em>This research has aim to produce for detection system of human ten fringerprints patterns that according to Dermatoglypic. The fringerprints patterns able to use for advanced analysis to biological and psychological characteristics. This research use back propagation algorithm of neural network to identify of fringerprint patterns. Initial processing is used mathematical morphology method before it is detected. The image is changed to digital image and then it is processed by dilation and erotion for enhancement image. The image that as neuron input of back propagation is changed to gray scale and 8 x 8 of size. Training process use 2000 epochs and patterns [200 2 1]. The output result&nbsp; are identification of human ten fringerprints patterns. This research produce identification are whorl, arch,&nbsp; right loop and left loop patterns of fringerprints. The result of research are whorl patterns 51.67%, right loop patterns 23.33%&nbsp; and left loop 18.33%. The accuration of detection system is 93.33%.</em></p> Wiji Lestari, Basiroh Basiroh, Pipin Widyaningsih ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/1988 Thu, 25 Feb 2021 10:40:00 -0500 DEVELOPMENT OF INFORMATION SYSTEM FOR MONITORING PREGNANCY HEALTH AND NUTRITION ADEQUACY OF TODDLERS FOR STUNTING PREVENTION https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/1783 <p><em>Abstract</em><em>—</em><em>Stunting is a health problem caused by a lack of nutritional intake for a long time, resulting in impaired growth in children. Stunting has become one of the government's priorities due to the large number of stunting incidents in Indonesia. The lack of knowledge of mothers about nutrition and good parenting is one of the causes of stunting. Intensive provision of information and health monitoring of pregnant women from time to time will reduce the incidence of stunting in toddlers. The purpose of this research is to develop an information system that can contain various information on pregnancy health and parenting to avoid stunting and can send it regularly to user according to their needs. This information system development adapts the Prototyping model of the Software Development Life Cycle method. The result of this study is an information system that will help disseminate various information on how to fulfill proper nutrition in pregnant and lactating mothers. In addition, the system will send messages via email and Short Message Service (SMS) which will serve as reminders for patients. This information system also functions as a toddler or pregnancy health monitoring tool based on the data entered into the system. This study result tackle one of the causes of stunting, namely the lack of information on maternal health and good parenting. Researchers hope that this solution can contribute to help the government to realize its vision of reducing stunting rates in Indonesia.</em></p> <p><strong>Abstrak</strong><em>—</em> <em>Stunting merupakan masalah kesehatan yang disebabkan oleh kurangnya asupan gizi dalam waktu yang cukup lama sehingga mengakibatkan gangguan pertumbuhan pada anak. Stunting telah menjadi salah satu prioritas pemerintah karena banyaknya jumlah kejadian stunting di Indonesia. Minimnya pengetahuan ibu mengenai pemberian gizi dan pola asuh yang baik menjadi salah satu penyebab terjadinya stunting. Pemberian informasi secara intensif dan monitoring terhadap ibu hamil dari waktu ke waktu akan mengurangi terjadinya stunting pada balita. Tujuan dari penelitian ini adalah mengembangkan sebuah sistem informasi yang dapat memuat berbagai informasi kesehatan kehamilan dan pola asuh agar terhindar dari stunting dan dapat mengirimkannya secara berkala pada pengguna sesuai kebutuhannya. Pengembangan sistem informasi ini mengadaptasi metode pengembangan perangkat lunak model Prototyping. Hasil dari penelitian ini berupa Sistem Informasi yang akan membantu untuk melakukan diseminasi berbagai informasi mengenai cara pemenuhan gizi yang baik dan benar pada ibu hamil dan menyusui. Selain itu, sistem akan mengirimkan pesan melalui surel dan Short Message Service (SMS) yang akan menjadi pengingat bagi pasien. Sistem Informasi ini juga berfungsi sebagai alat monitoring kesehatan balita atau kehamilan berdasarkan data yang dimasukkan ke dalam sistem. Solusi ini merupakan wujud penanggulangan salah satu penyebab stunting yaitu minimnya informasi kesehatan ibu mengenai pola pengasuhan yang baik. Peneliti berharap solusi ini dapat berkontribusi untuk mempermudah pemerintah dalam mewujudkan visinya untuk mengurangi tingkat stunting di Indonesia.&nbsp; </em></p> <p>&nbsp;</p> Lailatul Hidayah, Doni Setio Pambudi, Muhammad Syauqi Mubarok, Ngatini Ngatini ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/1783 Thu, 25 Feb 2021 00:00:00 -0500 TELEMARKETING BANK SUCCESS PREDICTION USING MULTILAYER PERCEPTRON (MLP) ALGORITHM WITH RESAMPLING https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/2168 <p>Telemarketing is a promotion that is considered effective for p<strong>ro</strong>moting a product to consumers by telephone, other than that telemarketing is easier to accept because of its direct nature of offering products to consumers. Telemarketing is also considered to help increase a company's revenue. The problem of predicting the success of a bank<strong>'s</strong> telemarketing data must be done using machine learning techniques. &nbsp;Machine learning used in the available histor<strong>ical</strong> data is a bank dataset of 45211 instances at 17 features using the multilayer perceptron algorithm (MLP) with resampling. The use of resampling aims to balance the unbalanced data resulting in an accuracy value of 90.18% and a ROC of 0.89%. Meanwhile, if the data resampling is not used in the multilayer perceptron (MLP) algorithm, the accuracy value is 88.6 and ROC is 0.88%. The use of resamp<strong>l</strong>ing data becomes more effective and results in higher accuracy values.</p> Siti Masturoh, Fitra Septia Nugraha, Siti Nurlela, M. Rangga Ramadhan Saelan, Daniati Uki Eka Saputri, Ridan Nurfalah ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/2168 Tue, 02 Mar 2021 00:00:00 -0500 DESIGN OF AN AUTOMATIC STERILIZATION GATE TOOL USING PIR MOTION SENSOR https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/1937 <p>This automatic sterilization gate tool is a simple tool that changes the manual method to a systemized and more efficient way. This tool uses an infrared motion sensor in which there is a main component, namely the PIR (Pyroelectric Infra-Red) sensor, which is a material that reacts to radiation and movement in front of it. This tool also uses a 12v dc pump which is used to draw out the disinfectant liquid stored in the container. This gate tool is designed using the main material and some additional materials, the automatic gate can discharge about 11 seconds of liquid from objects or people that pass through the sensor range, 11 seconds is the minimum time for this tool to work while a distance of 6 meters is the range from where the sensor is located. From that time it proved that this gate tool has 100% accuracy and runs well. This gate tool is used every day, turned on from the morning, and turned off at night. Every 17.00 hours this gate tool is always replenished with supplies of disinfectant liquid. The automatic gate has helped the community to reduce the risk of transmission of the coronavirus, it also raises the awareness of the covid-19 pandemic. The whole system is implemented and is tested for real-time operation. It is found working satisfactorily. The gate tool can be further improved by adding a scanning device to perform tracing for passersby.</p> Faiq Fawwaz Amrullah, Dewi Khairani, Siti Ummi Masruroh ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/1937 Tue, 02 Mar 2021 00:00:00 -0500 EXTENSION OF EMPLOYEE CONTRACTS BASED ON PERFORMANCE APPRAISAL AT BNN LAMPUNG PROVINCE USING THE VIKOR METHOD https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/1925 <p>&nbsp;The process of an employee contract extension at BNNP Lampung was previously carried out when the contract employee had completed his work contract for one year and during the work process. This results in good work progress and is still needed by the Lampung BNNP, so a report will be made on which employees will be extended their work contract after which the report is given to the Head of the Lampung BNNP to approve the employee contract extension decision letter, for that an appropriate decision support system is needed and efficient so that it can assist in making decisions on employee contract extensions. This decision support system is made based on performance appraisal by predetermined criteria, namely attitude, workability, attendance, a period of employment, and age, if all these criteria are met, the work contract will be extended. This decision support system is created using the Vikor method to obtain the best ranking results taken from alternatives on each criterion that is close to the ideal solution. To produce the best solution in the decision support system for employee contract extension based on the performance appraisal at BNN Lampung Province. The calculation of the Vikor method in this study produces the smallest Q value as the first rank with a value of 0.025 in alternative 6 and the largest Q value as the last rank with a value of 0.8333 in alternative 8.</p> Cindy Naulina Cahyani, Rani Irma Handayani, Normah Normah ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/1925 Tue, 02 Mar 2021 00:00:00 -0500 PREDICTION OF COOPERATIVE LOAN FEASIBILITY USING THE K-NEAREST NEIGHBOR ALGORITHM https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/2183 <p>Approval of credit lending to cooperative members without proper feasibility analysis can cause credit problems, cooperatives such as late payment of installments, and an increase in bad credit which can threaten the survival of the cooperative as a provider of lending services. As a solution to minimize the creditworthiness assessment errors for loan funds, research is carried out to analyze the feasibility of loan funds from the data of cooperative members using the data mining method approach and the algorithm used using the K-Nearest Neighbor. The purpose of this research is to predict the feasibility of granting credit with the right decision and to find out the level of evaluation, accuracy, and validation of the effectiveness of the k-NN algorithm on processing creditworthiness application data classifications. After the prediction research was carried out, the data on the eligibility of credit lending applications were conducted at the Bakti Berkah Sukaraja Savings and Loan Cooperative, The data obtained from the accuracy value of the k-nearest neighbor algorithm before being validated has an accuracy of 87.78% with AUC 0.95, after validation with split validation the accuracy decreased slightly by 2% to be 85.71%, while the AUC value in the ROC Curve was 0.836%. Even though there was a decline, it can still be categorized as a good classification. The impact of this research is that besides the accuracy of the k-NN algorithm being validated, the Bakti Berkah Sukaraja Savings and Loan cooperative can predict the feasibility of applying for credit funds, as an effort to reduce the threat of bad credit risk</p> Roviani Roviani, Deddy Supriadi, Iqbal Dzulfiqar Iskandar ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/2183 Tue, 02 Mar 2021 00:00:00 -0500