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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Teknik dan Informatika JTIK (Jurnal Teknik Informatika Kaputama) Journal of Computer Science and Informatics Engineering Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Health, Engineering and Technology Jurnal Penelitian Sistem Informasi Nusantara Journal of Multidisciplinary Science Jurnal Ilmu Komputer dan Sistem Informasi Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Repeater: Publikasi Teknik Informatika dan Jaringan Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Saturnus: Jurnal Teknologi dan Sistem Informasi Jurnal Sistem Informasi dan Ilmu Komputer
Siswan Syahputra
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Transportation Veterinary

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Implementasi Penggunaan Sensor MQ-2 Berbasis IoT Untuk Mengukur Kadar Asap Rokok Dalam Ruangan M. Fadli; Novriyenni; Siswan Syahputra
Nusantara Journal of Multidisciplinary Science Vol. 2 No. 2 (2024): NJMS - September 2024
Publisher : PT. Inovasi Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sistem berbasis Internet of Things (IoT) telah dikembangkan untuk memantau kadar asap rokok di dalam ruangan secara real-time menggunakan sensor MQ-2. Sensor ini menunjukkan kinerja optimal dalam mendeteksi berbagai jenis gas, termasuk asap rokok, dengan sensitivitas yang memadai. Implementasi sistem ini memungkinkan data pemantauan diakses jarak jauh melalui aplikasi Blynk, menyediakan kontrol dan notifikasi otomatis. Sistem ini dapat mengaktifkan alarm atau ventilasi ruangan secara otomatis ketika kadar asap melebihi batas aman, serta memberikan notifikasi langsung kepada pengguna saat kondisi berbahaya terdeteksi. Hasil pengujian mengkonfirmasi keakuratan deteksi dan efektivitas sistem dalam menjaga kualitas udara dalam ruangan
A Combination Of A Rail Fence Cipher And Merkle Hellman Algorithm For Digital Image Security Irwansyah; Achmad Fauzi; Siswan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 3 (2023): June 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v2i3.212

Abstract

Image is a combination of planes, points, lines and colors to create a physical or human object. Images can be in the form of 2-dimensional images, such as photographs and paintings. 3-dimensional image like a statue. The use of image media information has several weaknesses, one of which is the ease with which it can be manipulated by certain parties with the help of increasingly developing technology. In this study, the Rail Fence Cipher and Merkle Hellman methods were applied which aimed to obtain a stronger cipher by utilizing two key levels where an asymmetric algorithm was used to protect the symmetric key. The asymmetric algorithm used is Merkle Hellman and the symmetrical algorithm used is Rail Fence Cipher. The results of this study indicate that applying the Rail Fence Cipher and Merkle Hellman algorithms can secure image files and secure keys for data integrity. Encryption and description processing time is affected by the size and resolution of the image file.
Searching For The Nearest Route To The Location Of Health Facilities Using The Djikstra Method Nurita Indriana; A M H Pardede; Siswan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.224

Abstract

A health facility or health service facility is a tool or place used to carry out health service efforts, both in terms of promotive, preventive, curative and rehabilitative carried out by the central government, regional government or the community. This research contains development applications that cover every hospital, health center, and practice clinic located in the Langkat Regency area with the aim of facilitating the community in finding the nearest hospital, health center, and practice clinic. The application built can display the location of the health facility in map form and can display information in the form of name, address, telephone number, photo of the health facility, services available there, working hours, and further information on the place. In this study, the search for health facilities is only subject to distance as a health facility criterion, so that it can be developed further. To find the closest route to a health facility, here the author uses the Dijkstra Algorithm method which has been widely researched to be applied to the shortest route search system. This algorithm was invented by Edsger Dijkstra, a computer scientist from the Netherlands. The way Dijkstra's algorithm works is with a greedy strategy, namely at each step it chooses the side with the smallest value that connects the selected and unselected nodes/nodes. This algorithm requires a point of origin and a destination with the final result being the shortest distance from the point of origin to the destination along with the route.
Diagnosis Of Cholesterol Disease In Adolescence Using Certainty Factor Method Kusuma Wardhani; Marto Sihombing; Siswan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.258

Abstract

Expert system is a computer program designed to emulate the abilities of an expert in solving problems in a particular field. This system can assist in making a decision and provide a solution based on the data that has been obtained. Delia General Hospital (RSU) is a hospital in Langkat district that provides health services to the community to cure diseases, one of which is cholesterol. Cholesterol is a fatty substance contained in the blood and produced by the body. Cholesterol has an important role in helping to produce hormones and form cells. However, if the level of cholesterol in the blood is too high, it can cause health problems such as atherosclerosis, stroke, and heart disease. Increased cholesterol levels occur in adolescents due to unhealthy lifestyles and consuming foods high in fat. Certainty factor is a method in artificial intelligence that is used to determine whether a fact is certain or uncertain and provides accurate results by calculating the weight of symptoms determined by an expert and can produce answers to uncertain questions.
Application Of Super Encryption Using Rot 13 Algorithm Method and Algorithm Beaufort Cipher For Image Security Digital AYUDEVIAPERTIWI; Achmad Fauzi; Siswan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.263

Abstract

Digital image security is becoming increasingly critical in today's digital era, where sensitive information and data are often stored in image form. Therefore, an effective and secure encryption method is needed to protect the integrity and confidentiality of digital images. This study aims to implement a stronger security approach by combining classic encryption methods, namely the ROT13 algorithm and the Beaufort Cipher algorithm which produces an encryption called "Super Encryption". In this study, first of all, the ROT13 encryption method will be applied to randomize digital image text by shifting characters as far as 13 positions in the alphabet. Then, the Beaufort Cipher algorithm will be used to apply additional encryption to the digital image, which involves using the key as input in the encryption process. The results of this study indicate that the Super Encryption method which combines the ROT13 and Beaufort Cipher algorithms provides a higher level of security compared to using each method separately. Security testing and vulnerability analysis show that the combination of these two algorithms produces digital images that are more difficult to decrypt by commonly used decryption attacks.
Expert System To Diagnose Stem Border In Sugarcane Plant With Certainty Factor Method Diah Wardhani Wardhani; Yani Maulita; Siswan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.291

Abstract

Sugarcane (Saccharum Officanarum L) is an annual plantation crop, which has its own characteristics, because it contains sugar in its stems. Sugarcane belongs to the grass family (graminae) like rice, reeds, corn, bamboo and others. One of the problems that exist in sugarcane plantations at PT Perkebunan Nusantara II is stem borer pests. Losses due to borer attacks can be in the form of a decrease in sugarcane weight, yield and quality of the sap obtained. pests on sugarcane plants cause a decrease in sugar production of about 10%. There are three types of stem borer pests found in PT Perkebunan Nusantara II, namely shoot borer pests, striped stem borer pests, and giant stem borer pests. Meanwhile, biological control is by spreading natural predators of pests which will suppress the population of widespread distribution and breeding of pests which are commonly called parasitoids. Parasitoids will become predators of their respective hosts, so appropriate diagnostic therapy for stem borer pests is needed so that the spread of stem borer pests does not become more widespread and the parasitoids to be spread operate effectively. By using the Certainty Factor method, you can find out the types of pests that are attacking sugarcane plants. Based on manual calculations, the dipole yield was 79% on one of the selected pest types based on the symptoms induced in the sugarcane plant.
Measuring the Maturity Level of Oil Palm Fruit For CPO Production Based on Color With Using the LVQ Method Abdullah Hamid; Rusmin Saragih; Siswan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.303

Abstract

Palm oil is a very important commodity besides oil and gas which also has a fairly good export value. The palm oil produced must be supported by the quality standards set by SNI. The level of maturity when harvesting oil palm fruit greatly influences the quality of Crude Palm Oil (CPO) production, which is crude palm oil that has a reddish color obtained from extraction or from the pressing process of oil palm fruit flesh. In fact, in the field of oil palm fruit harvest, there are still many oil palm fruit that are not ripe enough and can even be said to be still raw, entering the CPO production process. Determination of the maturity level of oil palm fruit is generally determined based on the amount of loose fruit and color, so handling the harvest of oil palm fruit is an important activity in improving the quality of CPO. It is necessary to build a system capable of managing and processing palm fruit images to measure the maturity level of the palm fruit to be produced. To obtain the right level of accuracy, this research uses the Learning Vector Quantization (LVQ) method. LVQ is a method for conducting supervised competitive layer learning. From the results of trials conducted, it is proven that the system can measure very ripe oil palm fruit with HSV values (0.052209; 0.896021; 0.791114).
Design of an Automatic Water Faucet System Using the IOT Based HC-SR04 Sensor Rio Sinaga; Novriyenni Novriyenni; Siswan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.308

Abstract

Water is a vital element for humans, many activities are related to water. In everyday life, the use of water becomes very important and necessary in various fields, such as households, industry and agriculture. But their use is often inefficient and has the potential to waste valuable resources. In this context, the concept of the Internet of Things (IoT) emerges as a potential solution by connecting physical objects via the internet. This research designs and builds an IoT-based automatic water faucet system using the HC-SR04 sensor to measure the water level in a container. Hardware components such as Node mcu Esp8266, Infrared Sensor, 2 channel 5v Relay, and others are used to control the system automatically. The software used includes the Arduino IDE. This system aims to intelligently monitor and control water flow, prevent water wastage, and incorporate the advantages of IoT technology to create an automatic water faucet system that is responsive to water levels and the presence of objects in front of it.
Application Of The Ahp Method In Decision Support System For Security Recruitment Agung Kurniawan; Achmad Fauzi; Siswan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.312

Abstract

PT Perkebunan Nusantara II (PTPN II) Sei Semayang, a state-owned enterprise (BUMN) engaged in palm oil and sugarcane production. Security officers play a crucial role in maintaining the company's security and productivity. Currently, the security officer recruitment process remains conventional, relying on subjective assessments based on several criteria. The aim of this study is to introduce a more structured, transparent, and objective approach to security officer recruitment. By implementing the Analytic Hierarchy Process (AHP) method, decisions in selecting prospective security officers can be made based on predetermined criterion weights. AHP enables decision-makers to identify, compare, and prioritize relevant criteria, addressing the complexity of selecting candidates who fit the established criteria. Through this approach, the study seeks to enhance efficiency and effectiveness in the security officer selection process, reduce the risk of errors in candidate selection, and improve overall company performance and security. It is hoped that the application of the AHP method in the decision support system for security officer recruitment at PTPN II Sei Semayang will assist the company in optimizing the selection process and supporting more data-driven decision-making.
Penerapan Metode Certainty Factor untuk Mendiagnosa penyakit Tanaman Tomat Jagi Munnawar Alhawari; Achmad Fauzi; Siswan Syahputra
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 2 No. 5 (2024): September : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v2i5.558

Abstract

Tomatoes are plants that were first discovered in South America, closely related to eggplant, potatoes and peppers. Tomato is a fruit that has an attractive red color and is rich in vitamins such as vitamin C. So it is not wrong if tomatoes are very useful for maintaining the body's immune system. Each 100 grams of tomatoes contains 20 calories of calories, 1 gram of protein, 0.3 grams of fat, 4.2 grams of carbohydrates, 5 milligrams of calcium, carotene (vitamin A) 1500 SI, thiamin (vitamin B) 60 micrograms, ascorbic acid (vitamin C). ) 40 milligrams, phosphorus 27 milligrams, iron 0.5 milligrams, potassium 360 milligrams. Tomatoes are also vegetables or ingredients for cooking that are sought after by people to meet their daily needs. This makes the supply of tomatoes from farmers is always in shortage. The lack of supply of tomatoes in the market is caused by a decrease in tomato production or yields. This decrease in production was caused by several obstacles, one of the obstacles that caused crop failure was due to disease. Disease attacks on tomato plants can occur from planting to harvest. Diseases that often attack penicillin plants are sptoria leaf spot, anthracnose fruit bud, fusarium and verticium wilt, brown spot and late blight. Therefore, to handle this, of course, sufficient knowledge is needed to deal with and deal with pests and diseases in tomato plants appropriately. To overcome this, it is necessary to build a system that can diagnose diseases in tomato plants. So that farmers are able to overcome and deal with pests and diseases on tomato plants appropriately. Researchers have done a lot of research by building an expert system to diagnose a disease. With the results of research, an expert system is designed to assist farmers and agricultural extension workers in detecting diseases in soybean and rice plants. From the results of tests that have been carried out using an expert system, 14 different cases in the field are then cross-checked with the results of expert analysis and have a suitability of 93%.
Co-Authors ., Novriyenni Abdullah Hamid Achmad Faris Fadhlulah ACHMAD FAUZI Ade Febrian Sitepu Agung Kurniawan Alma Diana Rangkuti Alma Diana Rangkuti Ambarita, Indah Annisa Pratiwi annisa pratiwi Aulia Ananda AYUDEVIAPERTIWI Baina Sahara Buaton, Relita Budi Purnomo Siahaan Budi Serasi Ginting Budi Serasi Ginting Dhany Fachrizal Diah Wardhani Wardhani Diaz Kuncoro Eka Hari Setyawan Eka Rahamadi Susilo Fauzi, Achmad Hayu Yusnaini Herdiansyah Harahap Herdiansyah Harahap Herdianta Herdianta Hernika Nainggolan Hilda Auliah Lubis Irwansyah Jagi Munnawar Alhawari Katen Lumbanbatu Khair, Husnul Kusuma Wardhani lidya hasna Lidya Hasna Lina Arliana Lina Arliana Lita, Catlya Novera M. Fadli Magdalena Simanjuntak Marto Sihombing Marto Sihombing Mhd. Iqbal Prananda Mili Alfhi Syari Nike Alpio Rizky Novreyenni Novreyenni Novriyenni Novriyenni Nur Ema Tiana Ningsih nurema tiana ningsih Nurhayati Nurita Indriana Pardede, Akim Manaor Hara Permana Putra Permana Putra Pujiani Pujiani Purnama Sari Br PA Putri Riswana Rahmadani Rahmadani Ramadani, Suci Ratih Puspadini Rio Sinaga Rizky Hidayat Rusmin Saragih, Rusmin Shela Andini Sulaiman Tata Mustika Dewi Widia Putri Dasopang Yani Maulita