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Seno Lamsir
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STRATEGI PEMASARAN PRODUK HALAL DALAM MEMASUKI PASAR GLOBAL Imron Natsir; Kherayani Nur; Titik Purwati; Seno Lamsir; Eva Yuniarti Utami
JURNAL LENTERA BISNIS Vol. 14 No. 2 (2025): JURNAL LENTERA BISNIS, MEI 2025
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/jrlab.v14i2.1584

Abstract

The purpose of this study is to determine the marketing strategy of halal products in entering the global market. This research approach collects data through literature studies, which involve reading literature from various sources including books, reports, articles, and journals using qualitative and deductive approaches. The findings in this study are that there are several stages in entering the global market, including no foreign marketing, infrequent foreign marketing, regular foreign marketing, and global marketing operations. In addition, there are also steps in entering the global market, namely market segmentation, global marketing research process, and strategy selection. There are several marketing strategies for halal products in entering the global market, namely product strategy, pricing strategy, distribution strategy, promotion strategy, responsive and adaptive global branding strategy, compliance strategy with international regulations, and international collaboration and partnership strategy.
מוּת BERDASARKAN AYUB 7:7-10: KONSEP 40 HARI SETELAH KEMATIAN DAN SIGNIFIKASINYA DALAM PEMBINAAN JEMAAT Milda Amelia Malelak; Vinus Zai; David Ming; Seno Lamsir
Voice of HAMI: Jurnal Teologi dan Pendidikan Agama Kristen Vol 8, No 1 (2025): Agustus 2025
Publisher : Sekolah Tinggi Teologi Hagiasmos Mission

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59830/voh.v8i1.137

Abstract

Abstrak: Perjumpaan antara suatu kebudayaan, tradisi dan agama akan menghasilkan suatu pemahaman yang khas dan bahkan pemahaman tersebut dapat diteruskan dari generasi ke generasi. Biasanya agama selalu tercampur dengan Kebudayaan/kepercayaan adat yang menjadi pegangan umat sebelum agama-agama disahkan sehingga umat percaya dapat mempercayai hal-hal yang tidak sesuai dengan kebenaran yang telah dicatat dalam Alkitab. Kitab Ayub 7:7-10 tentang muwth memberikan suatu pemahaman yang mendalam tentang keberadaan roh dari orang yang telah mengalami kematian, sebagai berikut: 1) Kehidupan dalam dunia ini hanyalah sementara. 2) Roh orang mati tidak ada lagi di dunia ini. 3) Roh orang mati tidak kembali ke rumahnya. Hasil eksege ini harus menjadi pemahaman jemaat khususnya tentang konsep 40 hari setelah kematian, karena kemungkinan besar masih ada orang-orang yang masih memiliki pemahaman yang salah tentang keberadaan roh orang mati, sehingga jemaat perlu mendapatkan suatu pelatihan yang benar tentang keberadaan roh orang yang telah mati. Kata Kunci : Muwth, Konsep 40 hari, kematian, pelatihan jemaat.
Implementation of Dijkstra and Ant Colony Algorithms for Web-based Shortest Route Search for LPG Gas Distribution Rasna Rasna; Moh. Rahmat Irjii Matdoan; Nurlaela Kumala Dewi; Afferdhy Ariffien; Seno Lamsir
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.805

Abstract

National energy needs and efforts to fulfill them are currently vital issues to be discussed and resolved. One type of energy that still has various problems is fuel gas, especially LPG (Liquid Petroleum Gas). The gas scarcity in each region differs; not all regions experience gas shortages, and some areas have excess LPG gas stocks. The problem of the scarcity of 3 kilogram (Kg) LPG gas is not the first time this has happened. In recent months, people in some regions have complained about the scarcity of subsidized 3-kilogram (kg) LPG gas. This situation certainly makes it difficult for the community. Not only does the scarcity hamper community activities, but it also makes the price of gas refills more expensive than usual. With the increasing demand for LPG gas every year, the government must provide large stocks of LPG gas. But what power if the LPG gas stock is less or runs out at specific locations. Therefore, applying gas base route search is needed to overcome the shortage of gas stock at a location. This application applies two search methods, namely the Dijkstra algorithm and the ant colony algorithm, to find the fastest route to the location of the gas base in the XYZ area. In the algorithm process, Dijkstra requires distance data for each city before starting the algorithm process. The Ant Colony Algorithm does not require the distance of each city because, in an Ant Colony, the distance between towns is calculated after the ants complete their journey. From the results of the process of the two algorithms, it is known that the path produced by Dijkstra's algorithm is more consistent and precise than the Ant Colony algorithm, which gives results that are not necessarily the same for each process.
Application of Hashing Method in Medical Term Dictionary Application Moh. Rahmat Irjii Matdoan; Rasna Rasna; Sahlan M Saleh; Andrian Sah; Seno Lamsir
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.662

Abstract

The number of words or terms that appear and are used in human life makes it difficult for a person to master all of these words. To overcome this, these words or/terms are compiled in a dictionary, one of which is a dictionary of medical terms. This research aims to create software that can perform its function as a medical terminology dictionary program and implement the Hash method into software that can be used for data search. This research applies the hash method to find the hash value using a rolling hash. The hash method uses input text to be transformed into numbers, thus speeding up the computational process. The application of the hash method in the addressing/storage process in the Database is very efficient in terms of time and place. The output appears in the form of word meaning and hash value. The hash value is raised to know the value of the searched term using the rolling hash formula. With this research, it is hoped that searching for the meaning of medical terms in a computerized manner can be consistent with manual searches.
Forecasting the Inventory of Milled Dry Grain Using the Lot Sizing Method at Markom Rice Mill Afferdhy Ariffien; Seno Lamsir; Rasna Rasna; Qurrotul Aini; Moh. Rahmat Irjii Matdoan
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.817

Abstract

Today's industrial activities are increasing with sophisticated technology, all applied to satisfy consumers in various services. One of the important parts of an industry is the inventory of goods. This is related to the continuity of the resulting production. In meeting the needs of consumers, a plan is needed in production so that there is no shortage of raw materials and the production process does not stop. Grain is an agricultural commodity whose demand and production levels occasionally increase. We can see that until now, our country, Indonesia, still imports rice from other countries, where rice is the main production product produced from grain. The problem can be solved with the Lot sizing method used in this study, which is used to determine the size of the order quantity. In the rice mill itself, grain storage has a limited capacity, so it cannot be directly stored with a large capacity when the price of grain is down. Applying this method as an application will make it easier to manage grain inventory at the rice mill and estimate inventory costs for the next 1 () year. The results of the lot sizing calculation (silver meal) show that for the next year, the smallest cost of procurement of dry milled grain (MDG) demand is obtained from the procurement of demand every month. In other words, procurement is more appropriate every month or period so that the costs incurred for grain inventory are smaller. The following data are the results of the silver meal lot sizing calculation: (1) 39015.4 kg, (2) 35871.2 kg, (3) 39536 kg, (4) 33894.8 kg, (5) 31402 kg, (6) 27982.5 kg, (7) 41461.9 kg, (8) 35336.7 kg, (9) 41305.6 kg, (10) 45717.5 kg, (11) 42007.9 kg, (12) 50828 kg. The cost incurred per order is Rp. 6,000,000
Weather Classification and Prediction on Imagery Using Boltzmann Machine Rasna Rasna; Moh. Rahmat Irjii Matdoan; Junaidi Salat; Fitria J; Seno Lamsir
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.806

Abstract

Weather is a physical process or event that occurs in the atmosphere at a specific time and place, as well as its changes over a short period in a particular location on Earth. To produce weather forecast information, there is a series of processes that must be carried out until the weather information is conveyed accurately. The stages involved in the feature extraction process are carried out first. This process is carried out to obtain specific characteristics or features from a dataset. After the feature extraction process has been completed, the next step is to predict the weather based on the input images. To classify the weather on Earth using various algorithms, one of which is the Machine Boltzmann. The pattern recognition method used is Machine Boltzmann as an application of a simpler and more complex method. Generally, the weather prediction system using Machine Boltzmann consists of several stages, namely image acquisition, greyscale processing, segmentation/location using Sobel edge detection, classification using the Machine Boltzmann method, and finally producing output in the form of weather class results. The classification process in this research involves images of clear, cloudy, and rainy weather as inputs. The output of the system is the determination of whether the input weather image falls into the category of clear, cloudy, or rainy weather. The results of the study show that the classification of weather based on captured images has the highest accuracy for clear weather, with a percentage of 73.33%. For cloudy weather, the success rate is equal to the error rate, which is 50%, while rainy weather was not recognized at all.
Web-based Rabies Disease Diagnosis Expert System with Forward Chaining and Dempster Shafer Methods Junaidi Salat; Rasna Rasna; Muhammad Ichsan; Dahlan Abdullah; Seno Lamsir
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.801

Abstract

Rabies is a hazardous zoonotic disease that poses a significant threat to both animals and humans, as it can result in death. The disease is caused by a single-stranded RNA virus commonly found in infected animals' saliva, which can be transmitted to humans through bites. Although many people keep animals as pets, many lack adequate knowledge about the potential risks of rabies transmission. In Indonesia, most cases of rabies transmission to humans are caused by bites from infected dogs, followed by bites from monkeys and cats. The absence of an effective treatment for Rabies makes prevention and early diagnosis extremely important. One approach that could help manage the disease is creating an expert system for rabies diagnosis. The Rabies Disease Expert System is developed based on a needs analysis conducted through interviews with veterinarians to understand the classification of symptoms and the diagnostic process for Rabies. It's important to note that while the system is a valuable tool, it does have limitations and should not replace the role of a veterinarian. The system employs two critical methodologies: the Forward Chaining and Dempster-Shafer algorithms. These algorithms allow the system to trace the progression of symptoms and calculate the probability of a rabies infection. The system is an interactive platform where users—such as animal owners or medical professionals—can input observed symptoms in either animals or humans. Based on these inputs, the system provides a probable diagnosis. For example, the expert system might determine that a dog is in the 'Excitation Stage' of Rabies with a 54% confidence level. The integration of Forward Chaining and Dempster-Shafer methods ensures that the system continuously refines its diagnostic accuracy, aiming for a confidence level close to 100%. This expert system offers a promising tool to aid in the early detection and management of Rabies, potentially reducing the risk of widespread transmission.
Application Dictionary of Scientific Plants and Animals Android-Based Algorithm Using Jaro Winkler Distance Rasna Rasna; Ni Wayan Emmy Rosiana Dewi; Alexius Ulan Bani; Seno Lamsir; Fifto Nugroho
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.839

Abstract

The dictionary is a kind of reference book composed of abjad and contains terms of terms and their meanings. Dictionaries are needed in education to figure out the word or term you want to know its meaning. In education, it is found in many terms, for example, in the biological sciences. In biology, there is the term a scientific term that must be known to every student, especially those who pursue the field of biology. The scientific term, or scientific name, is the Latin name of plants and animals and is one of the critical discussions in the biology field contained in the course curriculum of elementary school, junior high school, and senior high school lectures. The field of biology is the subject of the taxonomy of plants and animals, and each student is required to know the Latin of every plant and animal. This is because plants and animals in the world of biology are known to scientists with scientific language. In this research, the author applies the scientific language dictionary of plants and animals using an algorithm based on the android Jaro Winkler distance. Jaro Winkler's distance algorithm searches for the desired plants and animals. In this study, the plant names and scientific names are taken from existing books and journals. Each name consists of 1000 names of plants and animals, with each of the 500 names of plants and 500 animal names along with scientific language and the images, respectively. The system will generate output from the scientific names of plants and animals and be equipped with pictures and explanations. The results from this study use an algorithm called Jaro Winkler Distance to search for the names of the desired plants and animals by matching each character entered with the characters in the database.
Co-Authors Afferdhy Ariffien Afferdhy Ariffien Alexius Ulan Bani Andrian Sah Dahlan Abdullah David Ming Eva Yuniarti Utami Fifto Nugroho Fitria J Imron Natsir Junaidi Salat Milda Amelia Malelak Moh. Rahmat Irjii Matdoan Moh. Rahmat Irjii Matdoan Muhammad Ichsan Ni Wayan Emmy Rosiana Dewi Nur, Kherayani Nurlaela Kumala Dewi Qurrotul Aini Rasna Sahlan M Saleh Titik Purwati Vinus Zai