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Journal : Bulletin of Multi-Disciplinary Science and Applied Technology

Sistem Pendukung Keputusan Penentuan Desa Terbaik Dalam Pelaksanaan Protokol Kesehatan Selama Masa Pandemi Covid-19 Menggunakan Metode SMART Cristin Adelianan Br PA; Achmad Fauzi; Imeldawaty Gultom
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 3 (2022): April 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

The implementation of the social security program is one of the The Covid-19 pandemic is an event that spreads disease throughout the world to all countries. This disease is caused by a new type of coronavirus called SARS-CoV-2. During the Covid-19 pandemic that occurred in Indonesia last March, many agencies played an active role in socializing the health protocols recommended by the government. In this case, the Sub-District Head Office participated in conducting outreach to the community in the Finished sub-district to follow directions from the government in carrying out health protocols. In conducting an assessment of each village in the Finished Sub-district, the Finished Sub-District Office uses criteria in determining the best village for the application of health protocols, namely social distancing, mask users, availability of hand washing facilities and community mobilization. In this study a Decision Support System (DSS) will be built using the Simple Multiple Attribute Rating Technique (SMART) method which is a multi-criteria decision-making technique based on each alternative consisting of a number of criteria that have a value and each criterion has a weight that describes how important it is when compared with other criteria. The system is designed with the PHP programming language with a MySQL database, after testing the process on the system by utilizing 14 village data in the Completed District as an analysis, from the results of the application it is found that A11 (Sei Limbat) is ranked first, with the highest final score, which is 0.9250.
Sistem Pakar Diagnosa Penyakit Kelapa Sawit Dengan Menggunakan Metode Certainty Factor Hidayatullah Hidayatullah; Budi Serasi Ginting; Achmad Fauzi
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 5 (2022): Agustus 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

Computer development is very important in information notification and data processing, computer development can also play a role in analyzing the symptoms of problems that occur. Oil palm plantations are currently growing in Indonesia and almost all of oil palm is grown throughout the archipelago. Oil palm plants are very beneficial for humans because oil palm fruit as a palm oil-producing plant and palm kernel is one of the prima donna of plantation crops which is a source of non-oil and gas foreign exchange for Indonesia. Because of the importance of oil palm resulting in increased production. However, there is an imbalance in the production of oil palm fruit due to the lack of understanding of the farmers to overcome the diseases that attack oil palm plants. It takes an expert system that will incorporate all expert knowledge in a system so that it can diagnose diseases in oil palm anytime and anywhere. The Certainty factor (CF) method is a method to prove whether a fact is certain or uncertain in the form of a metric that is usually used in expert systems. This method is very suitable for expert systems that diagnose something that is not certain. Based on the results of the CF calculation, the highest value was in the type of palm root rot disease with a value of 97.29%. From the results obtained, the system diagnoses the oil palm tree diagnosed with palm root rot disease.
Penerapan Machine Learning Untuk Klasifikasi Tingkat Kematangan Buah Anggur (Vitis) Dengan Metode K-Nearest Neighbor Sri Melisa; Achmad Fauzi; Yusfrizal Yusfrizal
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 5 (2022): Agustus 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

Grapes are fruit plants in the form of vines belonging to the Vitaceae family that can be eaten directly or processed into drinks and food. Grapes have color characteristics to determine the level of ripeness of fruit correctly. Determination of ripeness of grapes is usually done directly by looking at the color of ripeness of the fruit grapes that can be seen from the color red if it is ripe and green if it is not ripe. And this could be a mistake in classifying and determining the level of fruit maturity. Classification is a way of grouping objects based on the characteristics possessed by the object of classification. Classification is carried out by computers using the methods used to classify. K-nearest neighbor is a method that can be used in classification and is a machine learning algorithm with a supervised learning approach that works by classifying new data using the similarity between new data and a number of data (k) at the closest available location. KNN algorithm is used for classification and regression. By using the majority category, the classification results from the three best data can be labeled as targets according to the initial dataset. The best data is data to 2, 3, 10 of these data, there are 1 category of immature and 2 ripe, so that the majority of the classification results are ripe grapes. So the classification results for test image data 11 are grapes included in the ripe classification category.
Pengecekan Bit Error Pada Media Transmisi Pengiriman Gambar Menggunakan Metode Hamming Code Deli Alvinda; Achmad Fauzi; Husnul Khair
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 5 (2022): Agustus 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

The successful delivery of information from the sender (transmitter) to the receiver (receiver) is one thing that is very important in determining the reliability of a communication system. In the world of communication, both communication using cables or using air as a transmission medium will inevitably experience disturbances in the communication process caused by a disturbance called noise. Noise is an unwanted electrical signal. The addition of this unwanted signal in a communication process is a major limiting factor in data communication systems. In the process of data communication, the possibility of data errors received can occur because the data becomes an error and must be re-sent. Hamming code is an error detection method that is able to detect several errors, but is only able to correct one error (single error correction). This error detection method is very suitable for use in situations where there are several random errors.
Sistem Pendeteksi Wajah Berjerawat Pada Citra Digital Menggunakan Metode Viola Jones Windy Maulianda; Achmad Fauzi; Mili Alfhi Syari
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 6 (2022): Oktober 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

The development of computer technology that is increasingly advanced and sophisticated, makes computer experts have the desire to create the latest software in computers. One of them is image data processing by utilizing digital image data processing that can be used in recognizing the shape of an object. Acne (acne vulgaris) is a disease caused by chronic inflammation of the pilosebaceous unit characterized by the formation of comedones, papules, pustules, nodules that can grow on the face, back, chest, arms, legs. Acne itself arises due to hormonal changes experienced by sufferers. To find out the acne can be seen directly or palpated on the face area. Improper handling of acne can harm facial skin and cause inflammation. It takes a system that can identify acne by applying image processing. The Viola Jones method is an object detection method that has a fairly high level of accuracy, which is about 93.7%
Penerapan Algoritma RSA Dan AES Dalam Pengamanan Data Tunggakan Tagihan PDAM Kota Binjai Rani Rianda Br Ginting; Achmad Fauzi; Husnul Khair
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 6 (2022): Oktober 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

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Expert System Diagnoses Android Handphone Damage Using Web-Based Dempster Shafer Method Arianta Bangun; Achmad Fauzi; Rusmin Saragih
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 6 (2022): Oktober 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

Mobile is a communication tool that can be carried anywhere because it does not use cables like conventional fixed line telephones. Mobile phones can be obtained at very affordable prices so that mobile phones are no longer categorized as luxury goods. By using a mobile phone, users can make and receive calls to and from other mobile phone networks around the world. The sophisticated use of mobile phones can solve all interests more effectively and efficiently. Another function of mobile phones is that it can be a medium of entertainment, educational media, business media and so on. In general, every electronic item can be damaged and mobile phones are one of them. For example, it gets hot quickly, the battery runs low quickly and even the cellphone is in a condition that it can't turn on at all (totally dead). Damage that occurs can be categorized as light or heavy damage. So by knowing what category of damage occurs, it can make repairs or services on cellphones more optimal. To find out the damage that occurs requires a system that can categorize the damage to the android phone by using an expert system. An expert system is a system that can store the knowledge of experts or experts in the system. Expert systems are used to solve problems and improve problem solving abilities. Dempster Shafer is one method that can be used in expert systems. The Dempster Shafer method is a method of uncertainty to produce an accurate diagnosis. Due to the addition or deletion of new facts in the form of information about symptoms and disorders. This method gives experts confidence in their knowledge. So that from the case study conducted, it will be found that the Dempster Shafer method testing with the customer diagnoses based on the symptoms with a final value of 100%, the customer experiences Short Damage.
Klasifikasi Tingkat Kematangan Buah Kakao Berdasarkan Warna Dengan Metode KNN (K-Nearest Neightbor) Zidan Hafiz; Achmad Fauzi; Hermansyah Sembiring
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 2 No 5 (2023): Agustus 2023
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

Technological developments aim to help facilitate human work in life. The role of technology in human work is very large, one of which is in agriculture and plantations. Classification is a way of grouping objects based on the characteristics possessed by the object of classification. In the process, classification can be done in many ways, either manually or with the help of technology. Cocoa pods certainly have color characteristics to determine the correct level of maturity of cocoa pods. used to classify the maturity level of cocoa pods. This research method uses the scientific method to solve a problem in research, of course the researcher must have a way or a method that is applied in solving the problem so that the research carried out can be resolved properly and in accordance with the expected results. The research method was carried out to look for something systematically using scientific methods and applicable sources, especially in the classification of cocoa pod maturity level based on color using the K-Nearest Neighbor method. The interface design is an illustration of what the cocoa pod maturity classification system will be built using the K-Nearest Neighbor method. An overview of the results is usually made in the form of user interface design or interface design. The K-Nearest Neighbors method can be applied to classify the maturity level of cocoa pods based on ripe and immature colors using matlab software. 2. The results of the image data training process as many as 30 image data are inputted, the training results obtained are 100%. 3. From the feature extraction of red, green, blue, hue, saturation, value and image area of cocoa pods based on color, it can be classified the maturity level of cocoa pods based on color, whether ripe or immature.
Co-Authors Ade Rahayu Ade Syahputri Ade Syahputri Adelia Ramadani Agus Sapitri, Liana Aji Tyo Syahputra Andre Anggi Meliana Br Hutasoit Arianta Bangun Arnes Sembiring Asrul Reza Br Bangun, Tiara Buaton, Relita Budi Serasi Ginting Budi Serasi Ginting Chintya Dwi Putri Br. Ginting Cici Armayani Cristin Adelianan Br PA Deli Alvinda Denny Prayuda Putra Deny Jollyta Deri Kurniawan Diki Kurniadi Diky Jaswa Dilla Sillfani Dimas Dimas Dimas Fatmaira, Zira Feni Yasari Br Surbakti Fira Dwi Yanti Firliansyah, Aulia Fitri Handayani GOESTI MESKANA PELAWI PELAWI Gultom, Imeldawaty Hakim, Azizhil Hermansyah Sembiring Hermansyah Sembiring Hermansyah Sembiring Hidayatullah Hidayatullah I Gusti Prahmana Ihsan Wibowo Zakti Iis Joice Susanti Marpaung Kadim, Lina Arliana Nur Khair, Husnul Lina Arliana Magdalena Simajuntak Mega Ayu Ningrum Melda Pita Uli Sitompul Meliala, Evan Syahputra Mili Alfhi Syari Mita Auva Muhammad Al Kahfi Muhammad Ali Imran Muhammad Fadillah Azmi Muhammad Haris N Novriyenni Nabil Fuadi Nasution, Raja Imanda Hakim Nezha Febriyan Novi Yunanda Putri Novriyenni - Nurhayati Pakpahan, Victor Maruli Pardede, Akim Manaor Hara Pasaribu, Tioria Rahayu, Rizka Putri Ramadani, Suci Ramanda, Dika Rani Rianda Br Ginting Ranti, Dwi Renika Ayuni Riza Maria Ulfa Br Matondang Riza Maria Ulfa Br Mtd Rizka Putri Rahayu Rizka Putri Rahayu Rizka Putri Rahayu Rizki Oktavinus Tarigan Ronauli Silaban Rusmin Saragih, Rusmin Safna Safitri Salsabilla, Nur Sembiring, Hermansyah Septian, Refli Sihombing, Anton Simanjuntak, Magdalena Sri Defriani Br Sembiring Sri Melisa Susilawati Susilawati Syari, Milli Alfhi Winda Sari Windy Maulianda Yani Maulita Yusfrizal Yusfrizal Yustika Septiani Muzahardin Yustika Septiani Muzahardin Zhya Anggraini Zidan Hafiz