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IMPLEMENTASI TELEGRAM NOTIFICATION ALERT PADA NETWORK MONITORING SYSTEM DENGAN NAGIOS
Bakhtiar Rifai;
Nanang Nuryadi;
Amarulloh Ripai
Jurnal Mantik Penusa Vol. 3 No. 3 (19): COmputer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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A healthy data center will greatly help the performance of employees and network administrators. The Inspectorate General of the Ministry of Education and Culture does not have a network monitoring system in the data center. The absence of a system for monitoring each device in the data center, the data center condition will become unhealthy. If the condition of the server, router, and switch devices are not functioning properly the network administrator cannot know in real-time. It requires network monitoring system with plugin support that can help network administrators do their work. Nagios is a network monitoring system that has a variety of features and can be configured with social media such as telegram because it supports API bots from python, namely twx. When the hardware or software is experiencing problems or down, eating Nagios will send notifications via the bot account that has been created and synchronized with Bash Nagios.
SISTEM PENDUKUNGKEPUTUSANPENENTUAN PENERIMA BANTUAN SISWA MISKIN MENGGUNAKAN SIMPLE ADDITIVE WEIGHTING
Wina Widiati;
Ahmad Hafidzul Kahfi
Jurnal Mantik Penusa Vol. 3 No. 3 (19): COmputer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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Pemerintah Indonesia memberlakukan program wajib belajar 9 tahun yang bertujuan untuk meningkatkan sumber daya manusia. Akan tetapi, program tersebut masih belum bisa terpenuhi mengingat saat ini pendidikan tidak lagi murah. Untuk itu, pemerintah juga memberlakukan program BSM. MTs. Sirojul Athfal merupakan salah satu lembaga pendidikan swasta di Kabupaten Bogor yang menerima program BSM. Dalam menentukan siswa yang layak menerima BSM, pihak madrasah mengalami kesulitan untuk mengambil keputusan. Hal ini disebabkan karena banyaknya siswa yang mengajukan untuk mendapatkan BSM, sedangkan jumlah penerima bantuan yang ditentukan oleh pemerintah sangat terbatas. Selain itu, dalam penilaian dari setiap kriteria masih menggunakan asumsi dan perkiraan dari pihak kepada madrasah. Dari permasalahan tersebut maka dibutuhkan sebuah sistem pendukung keputusan yang dapat membantu pihak madrasah dalam menyeleksi calon penerima BSM. Adapun metode yang digunakan adalah Simple Additive Weighting yang dimulai dari mengidentifikasi masalah dan menentukan tujuan, menentukan kriteria dan alternatif, menentukan bobot hingga diperoleh hasil akhir dan dilanjutkan dengan proses perankingan yang akan menyeleksi alternatif yang sudah diberikan sehingga dapat dihasilkanalternatif siswa terbaik yang layak mendapatkan BSM.
ANALISA KEPUASAN PENGUNJUNG MENGGUNAKAN METODE DECISION TREE DI PERKAMPUNGAN BUDAYA BETAWI SETU BABAKAN JAKARTA
Kudiantoro Widianto;
Achmad Rifai;
Mutiara Nur Pratiwi
Jurnal Mantik Penusa Vol. 3 No. 3 (19): COmputer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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Tourist attraction managers in Jakarta make various efforts to win the competition, among others by increasing tourist visitor satisfaction. One of the attractions in Jakarta is Setu Babakan which is one of the attractive tourist attractions for tourists who want to enjoy the typical atmosphere of the countryside or witness native Betawi culture firsthand. In Setu Babakan, visitors can see natural scenery, enjoy typical Betawi culinary which is relatively cheap, and watch Betawi cultural arts performances. In addition, the manager of Setu Babakan also provides various facilities such as toilets, places of worship, children's playgrounds, and others to support visitors' activities. To visit Setu Babakan, there are many public vehicles that pass through this village and the cost is quite cheap. This study aims to analyze the visitors' satisfaction of Setu Babakan by using the attributes of cost, facilities, accessibility, and service. Researchers use the decision tree method C4.5 algorithm. From the decision tree image processed by RapidMiner it can be seen that the factors of visitor satisfaction are facilities and accessibility. After that the trial was performed on the dataset 3 times from the questionnaire data on 50 visitors obtained an accuracy of 100%. The classification results with the C4.5 algorithm of 100% are considered appropriate to be used to measure the level of visitor satisfaction with costs, facilities, accessibility, and service.
PEMETAAN INOVASI BANDARA INTERNASIONAL JAWA BARAT DENGAN BISNIS MODEL CANVAS
Robi Awaluddin
Jurnal Mantik Penusa Vol. 3 No. 3 (19): COmputer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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PT Bandar udara Internasional Jawa Barat (PT BIJB) is a Regional Owned Enterprise (BUMD) formed by the West Java Provincial Government through regional law No. 222013 was established on November 24, 2014. PT BIJB is responsible for the construction of the land side and the development and operation of West Java International Airport, also developing Kawasan Aerocity which is integrated with the Airport to develop the surrounding economy.BIJB is located inMajalengka, West Java. This study used to identify the vision and mission also social impact of this airport, use a qualitative descriptive approach with interviews, observation, surveys and literature studies. sample selection is purposive with company internal resource persons. from this research it is known that currently the PT BIJB has a vision, mission and core value of the company, also has a strategy of segmentation, target and positioning and corporate value. from mapping the 9 elements of the business model canvas, it is known that the most important thing is that there is a futuristic airport concept innovation by creating an airport concept that has natural nuances, an open airport and integrated with aerocity on its value preposition, on customer segments PT BIJB recruits local workers to become technical workers in airport
APLIKASI PENCARIAN GAMBAR DENGANALGORITMA CONTENT-BASED IMAGE RETRIEVAL
Mutiara S. Simanjuntak;
Allwine Allwine;
Rico Wijaya
Jurnal Mantik Penusa Vol. 3 No. 3 (19): COmputer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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Image retrieval system is a method used to extract image features and provides rules for comparing two images based on these characteristics. Several methods that can be used are Image Meta Search and Content-Based Image Retrieval (CBIR) methods. CBIR is an image search based on information contained in the image, for example searching for duck images, then entering the characteristics of the duck image and then based on these characteristics look for another image with similar features. Characteristics commonly used to help search for images include color, shape and texture features. In the design of this image retrieval application program, the characteristic used is the color feature. One method that can be used to calculate image characteristics is the Color Histogram Peaks Indexing. This method will compare the image to be searched (query image) with the database image (image stored in the database) to produce color features that will be used as feature vectors for query images and database images. The Color Histogram Peaks Indexing method is a new method designed to overcome the problem of scaling changes in image search. Based on the test results, it is known that the conversion process from HSV image to RGB image requires a long calculation process because it has to do repetition for each pixel, the scale difference of an image will not greatly affect the location of the peak on the HSV Histogram image and image retrieval algorithm can be used to perform Image search process based on the color characteristics of the image.
DIAGNOSA KECANDUAN GADGET PADA ANAK MENGGUNAKAN CERTAINTY FACTOR
Ike Verawati;
Maria Yonessa Purwalasari
Jurnal Mantik Penusa Vol. 3 No. 3 (19): COmputer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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Expert system is a system that uses human knowledge, where the knowledge is put into a computer and then used to solve problems that usually require expertise or human expertise. The expert system can function as a consultant who gives advice to users as well as advice for experts. One way to make it easier for parents of children aged 17-17 years to find out the level of addiction experienced by children is to build a web-based expert system to diagnose the level of gatget addiction in children aged 3-17 years web-based. The certainty factor method is a method for determining certainty. The purpose of this study is to build a web-based expert system to diagnose the level of gadget addiction in children aged 3-17 years, to simplify diagnosing the level of addiction experienced by children. The results of the gadget addiction diagnosis level produced by the expert system are the same as the results of the manual calculation using the certainty factor method. So it can be concluded that the web-based expert system that has been built can be used to diagnose the level of gadget addiction in children aged 3-17 years.
PRA-PEMROSESAN TEKS PADA GRUP WHATSAPP UNTUK PEMODELAN TOPIK
Maya Cendana;
Silvester Dian Handy Permana
Jurnal Mantik Penusa Vol. 3 No. 3 (19): COmputer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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Fasilitas grup chat yang terdapat pada WhatsApp memungkinkan pengguna untuk saling berkomunikasi dalam kelompok yang diminatinya. Semakin banyak dan aktif sebuah grup WhatsApp maka akan meningkatkan jumlah pesan yang dikirimkan di dalam grup. Hal ini dapat memicu keinginan pengguna untuk mengetahui makna ataupun pola tersembunyi yang terdapat di dalam grup tersebut. Oleh karena itu, penelitian dibidang text mining, terutama natural language programming (NLP) menjadi semakin populer. Salah satunya adalah analisis data chat yang dapat menghasilkan informasi topik yang sering dibicarakan di dalam grup WhatsApp, terutama bagi pengguna yang tidak memiliki banyak waktu untuk membaca chat di dalam grup, ataupun jika grup tersebut merupakan grup diskusi, maka topik utama diskusi dapat diperoleh melalui teknik pemodelan topik. Tahapan penelitian yang dilalui adalah (1) pra-pemrosesan data, (2) pemrosesan teks menggunakan model atau algoritma tertentu, (3) analisis hasil, dan (4) evaluasi. Pada penelitian tahap awal ini akan dilakukan studi pendahuluan dan pra-pemrosesan data menggunakan bahasa pemrograman python yang mencakup proses tokenisasi, filtering dan stemming. Prototipe pra-pemrosesan data ini diharapkan dapat digunakan untuk kasus berbeda dengan data input chat-log Whatsapp. Aturan-aturan bahasa, terutama bahasa gaul atau bahasa alay yang nantinya ditemukan di dalam studi kasus chat-log grup WhatsApp diharapkan juga dapat memperkaya korpus Bahasa Indonesia.
RANCANG BANGUN SISTEM INFORMASI INVENTORY PADA SALONKECANTIKAN
Elly Mufida;
Eva Rahmawati;
Hylenarti Hertiana
Jurnal Mantik Penusa Vol. 3 No. 3 (19): COmputer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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The company or business unit utilizes the role of the internet for corporate activities, applications supporting corporate activities that have been made have started web-based both related to administration, finance, marketing, and management of goods or inventory so that information can be more quickly and easily accessed anywhere . Inventory system is a thing that is familiar to companies. But inventory problems often become obstacles. Handling of data that is still done using a manual system results in frequent errors. In the development of the company to see the availability of stock of goods still using a manual system that requires a lot of time and accuracy. Therefore this inventory information system is expected to solve the problem. In this study produced an inventory information system design application that can produce an inventory report. It is expected that with this research, it will facilitate the process of monitoring the stock of goods entering and exiting goods. This research uses UML as a tool and PHP as a programming language in the design of a salon inventory system.Kata kunci: Design, System, Information, Inventory, UML
IMPLEMENTASI RAPID APPLICATION DEVELOPMENT UNTUK MENDIAGNOSIS PENYAKIT DIARE DAN DISENTRI PADA ANAK
Embun Fajar Wati;
Enok Tuti Alawiah;
Martua Hami Siregar
Jurnal Mantik Penusa Vol. 3 No. 3 (19): COmputer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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The diagnosis of diarrhea and dysentery diseases, is felt to be almost the same and there is no difference. Diarrhea is a disease that is still common in childhood and even becomes one of the many diseases that cause death in children. Dysentery is a digestive system disorder that occurs due to inflammation of the large intestine which is characterized by abdominal pain and defecation repeatedly and causes the sufferer to lose a lot of fluids. The initial symptoms before consultation with a doctor can be overcome by an expert system that can make conclusions and drug solutions that must be consumed to alleviate them so as to prevent death as well as a fatal result of diarrhea and dysentery. Data collection was carried out with observations from several previous journals relating to the expert system regarding diarrhea and dysentery. While the development method uses RAD (Rapid Application Development). The data analysis method uses forward chaining, which is continuous sequence (asking for symptoms and then concluding). The design uses several UML diagrams including use case and sequence diagrams and use ERD (Entity Relationship Diagram) too. This research is expected to provide appropriate early treatment for children affected by dysentery or diarrhea. For further research, it is hoped that the process of adding a history of diarrhea and dysentery to all patients.
KOMPARASI ALGORITMA C4.5 DAN NAIVE BAYES UNTUK MENGANALISA KELAYAKAN PENGAJUAN KREDIT
Siti Nur Khasanah
Jurnal Mantik Penusa Vol. 3 No. 3 (19): COmputer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan
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In determining the credit worthiness of a customer, a method is needed so that the results of the assessment carried out by the credit analysis department are accurate, so that the applicant can be predicted whether it will become a customer with a smooth or problematic payment. In this study, two algorithms were compared, namely the C4.5 algorithm and Naive Bayes. The algorithm will be applied to credit payment data labeled current and problematic customers. From the research results, the accuracy of the C4.5 algorithm is 87.62% while the accuracy obtained for the Naive Bayes algorithm is 90.00%. So it can be concluded, in this study that the Naive Bayes algorithm has higher accuracy than the C4.5 algorithm.