Articles
Workshop Pemahaman Search Engine Optimization Untuk Optimalisasi Website Desa Di Kabupaten Batubara
Rolly Yesputra;
Jhonson Efendi Hutagalung;
Endra Saputra
Jurnal Bangun Abdimas Vol 1 No 1: Mei 2022
Publisher : PT. Bangun Harapan Bangsa
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (275.254 KB)
|
DOI: 10.56854/ba.v1i1.8
Saat ini pengembangan Desa sudah sangat pesat karena dorongan dari pemerintah pusat untuk Desa agar dapat berkembang dengan cepat. Setiap Desa sudah diberikan dana yang cukup besar untuk dikelola oleh masing-masing Desa. Banyak upaya yang dilakukan oleh masing-masing Desa dalam rangka meningkatkan akses layanan bagi masyarakat. Upaya-upaya ini serentak dilakukan oleh masing-masing Desa di Kabupaten Batubara melalui Dinas Komunikasi dan Informasi (Diskominfo) dengan menciptakan aplikasi web untuk masing-masing desa. Aplikasi ini disebut dengan E-Desa, di mana salah satu layanannya adalah homepage. Penggunaan homepage Desa dirasakan belum maksimal karena informasi yang ditampilkan di halaman web belum mendapatkan rating yang bagus. Hal ini disebabkan kurangnya kemampuan admin di setiap Desa dalam hal konten web. Untuk meningkatkan index dari website agar mudah ditemukan di halaman search engine seperti Google, Bing, Yahoo dan lainnya maka perlu teknik yang disebut dengan Search Engine Optimation (SEO). Berdasarkan diskusi dengan pihak terkait di Desa di kabupaten Batubara masih banyak perangkat Desa yang belum memahami teknik-teknik SEO dalam mengelola website Desanya. Pengelola situs web di Desa tidak semuanya memiliki latar belakang pendidikan teknologi informasi atau yang memiliki kemampuan khusus di bidang website. Sehingga dalam kegiatan Pengabdian kepada Masyarakat ini dengan menggunakan teknik-teknik yang sederhana. Metode yang digunakan dalam pelaksanaan pengabdian masyarakat ini dengan cara praktik langsung dengan memberikan contoh-contoh sederhana. Pelatihan akan dimulai dari konsep dasar SEO dan dilanjutkan implementasi pada homepage dengan menggunakan sistem wordpress.
Kajian Potensi Dan Resiko Keberadaaan Mata Uang Kripto Terhadap Perilaku Investor di Indonesia
Endra Saputra;
Jhonson Efendi Hutagalung;
Dwi Kurnia Utami
Ekonomi, Keuangan, Investasi dan Syariah (EKUITAS) Vol 4 No 1 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47065/ekuitas.v4i1.2128
The development of financial technology is currently so rapid, so that the process of financial transactions carried out by individual users or groups becomes faster. In a period of 10 years, namely 2010-2020, investment is always synonymous with stocks and the capital market. So that investment is always associated with a person or group of people who have a large amount of wealth. Digital currency began to be widely used as a means of payment on the internet. The purpose of this currency is to provide convenience and security in payments. With the Blockchain technology in it, making transaction costs cheaper. In terms of the technology offered, cryptocurrency is a development of financial technology that allows it to replace paper money into digital money in future financial transactions. The behavior of investors in the capital market who generally make investment decisions varies from one investor to another, although sometimes the type of investment chosen is identical and has the same source of information. The purpose of this research is to analyze the potential and risks of the existence of crypto currencies on the behavior of investors in Indonesia. The method used in this study is a descriptive qualitative approach with data collection techniques through literature studies. The results of this study are expected to provide literacy and an explanation of the existence of cryptocurrencies that have potential and risks to investor behavior in Indonesia.
IMPLEMENTASI SUPPLY CHAIN MANAGEMENT UNTUK PRODUKSI PENGOLAHAN BAKSO CETAK PADA UD. BU GADIS
Ainun Mardiah;
Jhonson Efendi Hutagalung;
Febri Dristyan
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol 2, No 3 (2022): OCTOBER 2022
Publisher : LPPM STMIK Royal Kisaran
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33330/jutsi.v2i3.1790
Abstract: This research was conducted at a Home Industry company engaged in heavy food, namely printed meatballs. This study aims to apply the Supply Chain Management method for the production of printed meatball processing at UD. Mrs. Girl, to find out the problems that occurred, how to overcome the difficulties in obtaining information about the procurement of raw material stocks, which resulted in a shortage of raw materials in the production of printed meatball processing, and resulted in an imbalance between the stock of raw materials and the number of requests from consumers. So from these problems it is necessary to design a Supply Chain Management (SCM) application which aims to make it easier to manage the procurement of raw material stocks properly. The design tools used are (UML) Unified Modeling Language which will be designed using PHP and MySQL as databases. Keywords : Supply Chain Management; Printed Meatball Processing Production; PHP and MySQL. Abstrak: Penelitian ini dilakukan pada sebuah perusahaan Home Industry yang bergerak dibidang makanan berat, yaitu bakso cetak. Penelitian ini bertujuan untuk menerapkan metode Supply Chain Management untuk produksi pengolahan bakso cetak pada UD. Bu Gadis, untuk mengetahui permasalahan yang terjadi, bagaimana cara mengatasi kesulitan dalam mendapatkan informasi seputar pengadaan stok bahan baku, yang mengakibatkan kekurangan bahan baku dalam melakukan produksi pengolahan bakso cetak, dan mengakibatkan ketidakseimbangan antara stok bahan baku dengan jumlah permintaan dari pelanggan. Maka dari permasalahan tersebut diperlukan adanya perancangan aplikasi Supply Chain Management (SCM) yang bertujuan untuk memudahkan dalam mengatur pengadaan stok bahan baku dengan baik. Tools perancangan yang digunakan yaitu (UML) Unified Modeling Language yang akan dirancang dengan menggunakan PHP dan MySQL sebagai database. Kata Kunci: Supply Chain Management; Produksi pengolahan bakso cetak; PHP dan MySQL.
Sistem Pakar Diagnosa Penyakit Pencernaan Menggunakan Metode Case Based Reasoning (CBR) Berbasis Web
Arfian Jumintar Sitorus;
Jhonson Efendi Hutagalung;
Ari Dermawan
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30865/mib.v6i4.4764
The main factors causing digestive disorders are food that is not good in terms of hygiene and health, nutritional balance, improper diet, infection, and abnormalities in the digestive organs so that they will contract several digestive diseases such as appendicitis, ulcers, stomach ulcers, hepatitis. , diarrhea and constipation. Early treatment is needed before consulting specifically with a digestive disease specialist before the disease is severe. In this case, it is necessary to have a system that can replace specialist doctors in diagnosing early symptoms of digestive diseases considering the high cost of consulting a doctor. This diagnostic expert system is very much needed in diagnosing early symptoms of the causes of digestive diseases. The application of the system is equipped with a Case Based Reasoning that solves new cases based on reasoning from old cases. The implementation has resulted in gastric cancer of 67.01% according to the symptoms selected by the patient, then the system also provides treatment advice, and provides information on the handling or treatment of gastric cancer, so that with this application it can help doctors in diagnosing the disease quickly.
Penerapan Metode Certainty Factor Dalam Mendiagnosa Penyakit Kehamilan Berbasis Web
Dania Purnawan;
Jhonson Efendi Hutagalung;
Sri Rezki Maulina Azmi
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47065/bits.v4i2.2039
Diseases or disorders in pregnancy can cause death, especially for pregnant women and babies. This will also affect the infant mortality rate. Diseases that attack a woman's womb cannot be considered trivial and require the intervention of an expert, while an expert for this disease is still rare and certainly requires no small cost. In creating experts (human experts), it takes a relatively long time and costs are not small. One alternative effort to overcome this need is to create a web-based intelligent system. In this study, an expert system will be developed that can be used as a means to carry out early diagnosis of pregnancy diseases. The application of the system is equipped with a certainty factor calculation method that aims to show the level of confidence in the diagnostic results. From the symptoms experienced there is a 20% certainty level and for toxoplasma there are 80% that the patient has gestational anemia.
Implementasi Robot Orang-Orangan Sawah Supply Energi Matahari Memakai Microcontroller
Ahmad Dahlan Simanjuntak;
Jhonson Efendi Hutagalung;
Abdul Karim Syahputra
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47065/bits.v4i2.2101
Sparrows are a type of pest that is very detrimental to rice farmers, even though these bird pests are small in size but in very large numbers, causing rice farmers to be overwhelmed in protecting rice from pests. Efforts made by farmers in protecting rice from bird pests by using scarecrows that work less effectively, it is necessary to have a scarecrow robot that can work effectively by utilizing solar heat as an energy supply. The rice field robot will be placed in the middle of the rice field that has issued a grain with a size of 20mx20m by utilizing the LDR sensor as a switch to turn on and off automatically, where the robot is equipped with 4 sound sensors placed in each corner of the rice field to detect the sound of birds on the ground. when the robot's sound sensor detects the sound of bird pests, the DC motor mounted on the robot body will move to rotate the robot body left and right along with the servo installed on the two robot arms will move in opposite directions from 00-1800 or 1800-00 and the DFPlayer will make a sound to scare away bird pests that will attack rice. Finally, the author hopes that this research can be further developed so that it can increase the use of the robot in bird repellent
Mesin Pendeteksi Uang Palsu Dengan Sensor LDR Berbasis Kecerdasan Buatan
Sri Maharani;
Jhonson Efendi Hutagalung;
Abdul Karim Syahputra
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47065/bits.v4i2.2102
Money is a very important thing for human life in meeting the needs of life, as a medium of exchange in payment for the buying and selling process. The importance of money causes some people to try to have as much money as possible, even in a way that is against the law like make and circulate counterfeit money. Counterfeit money is counterfeit currency that is produced without legal authorization and permission from the state or government. The circulation and manufacture of counterfeit money is very detrimental to the economy of the country and the small community because it is difficult to distinguish counterfeit money by naked eye and tools to detect counterfeit money are not commonly used and existing tools do not detect paper money through the holographic bars contained in banknotes. The purpose of this study was to determine whether banknotes were included in the original or counterfeit category using LDR sensors, ultrasonic sensors, UV lamps, lasers, and UV sensors. Ultrasonic function to read the distance, if appropriate, it will automatically turn on the UV lamp which will be captured by the UV sensor, so that the holograms on the banknotes can be clearly seen and the laser is used to illuminate the bars on the money if the laser does not penetrate and the light will be received by the banknote. LDR sensor that adjusts to a predetermined value range, the results can be seen on the LCD screen and hear the sound from the speakers. It is hoped that the existence of this money detector can be used to help people avoid the circulation of counterfeit money and develop it further
Sistem Pakar Untuk Mendiagnosa Penyakit Lupus dengan Metode Forward Chaining Menggunakan Web
Indah Wahyuni Bugis;
Jhonson Efendi Hutagalung;
Indra Ramadona Harahap
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47065/bits.v4i2.2121
Lupus disease can attack humans quickly. The initial symptoms that will arise are the same as common diseases such as high fever, prolonged thrush, and also hair will fall out and start to run out one by one until it will go bald, the form of red rashes that appear on the skin, excessive joint pain in the body, easily tired, weight loss, causing paralysis, there are many other symptoms. The lack of availability of a doctor and the limited knowledge of people in remote areas often make the initial diagnosis of the disease late, therefore the application of an expert system is considered very useful to help diagnose lupus early in view of the time and energy of an expert doctor. In the health sector there is an artificial intelligence called an expert system, which is a computer system that uses knowledge, facts and reasoning techniques in solving problems that can usually only be solved by an expert in their field. This study uses an expert system application method in making decisions using a forward chaining inference engine where the goal driven data will start a search on the initial node to the goal node until it gets results. From the diagnostic process, the system provides a selection of the symptoms experienced by the patient, resulting in CLE type lupus (Cutaneus Lupus Erythematosus)
Sistem Pakar Diagnosa Penyakit Diabetes dengan Menggunakan Metode Bayes Berbasis Web
Shella Dwi Pratiwi;
Jhonson Efendi Hutagalung;
Suparmadi Suparmadi
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47065/bits.v4i2.2124
Diabetes Mellitus is one of the non-communicable diseases with the highest proportion in Indonesia and is the sixth highest cause of death in this country. Especially in Asahan District, the number of people with diabetes who died is increasing over time, so there needs to be effective treatment so that diabetes is no longer feared by the public because it is easy to treat. Many patients who experience diabetes are getting worse because they cannot detect the early symptoms of diabetes, which is still considered trivial. There is no information about diabetes and its symptoms, making it difficult to diagnose the disease. In the diagnosis of DM disease is limited to conventional diagnoses with doctors. it is necessary to build a system on a computer application to help diagnose DM. To determine the level of DM disease, an expert diagnostic system was made with the method used in this case is the Bayes method. This method is an approximation to an uncertainty that is measured by probability. Bayes' approach at the time of classification is to find the highest probability by inputting the required attributes and the probability of the disease and related symptoms. The results of the implementation of the system are the selection of symptoms according to the case of experiencing type 1 diabetes because it has a weight = 2 higher than the weight results of other diseases, the system provides the results of the process the system will provide information on what type of DM he is experiencing in order to get a solution with treatment
Penerapan Metode Forward Chaining Pada Sistem Pakar Untuk Diagnosa Kerusakan Sepeda Motor Berbasis Web
Mhd Ilyas;
Jhonson Efendi Hutagalung;
Suparmadi Suparmadi
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47065/bits.v4i2.2163
Repair motorbikes in the workshop, there are still some beginner technicians who do not really understand looking for damage to motorbikes so they have to ask senior technicians at the workshop often. For this reason, it is necessary how to diagnose damage to motorcycle vehicles by knowing the types of damage, symptoms of damage, characteristics of damage, then diagnosis and alternative solutions to problems are needed. Most of the damage to motorbikes occurs due to negligence in carrying out maintenance on the motorbike itself, whether it is due to the busyness of the user or lack of knowledge in the maintenance of the motorbike used. The inference model used in making this expert system is forward chaining, while the search technique uses depth first search. Determination in diagnosing expert systems is done through a consultation process between the system and the user. In system testing, the results obtained are ECU System malfunction based on novice technician answers to system questions. By using the IF-THEN rule to obtain a solution for motorcycle damage