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Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : 30318750     EISSN : 30318742     DOI : 10.61132
Core Subject : Science,
Computer Science & IT
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer memuat naskah hasil-hasil penelitian di bidang Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 286 Documents
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Sistem Pendukung Keputusan Seleksi Pemberian Bantuan Langsung Tunai pada Masyarakat Mareda Wuni Berbasis Web Menggunakan PROMETHEE Bernardino Stefen Goro; Andreas Ariyanto Rangga; Felysitas Ema O Sanga
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 5 (2024): Oktober: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i5.372

Abstract

Village development includes village funding, and the community takes the lead in developing and initiatives that advance village welfare are developed through cooperation with the community. Village development is an important instrument that must be used because it directly improves the welfare of the village community. Village communities are the focus of development, and each village is given the authority by the government to carry out its own development according to its capacity. Thus, the government supports the improvement of village development and empowerment. Village funds are used to provide or improve village public services, reduce poverty, advance the village economy, and reduce tandem between villages. This study uses a weighted summation approach of alternative rankings on all attributes, which is often known as the Simple Additive Weighting method. To determine which residents receive social assistance, the system can calculate the value of the multi-criterion preference index, preference value, outflow, inflow, and net flow for each alternative and sub-criterion.
Penerapan Metode Profile Matching untuk Keputusan Siswa Penerima Beasiswa Berbasis Web: Studi Kasus: SMPN 2 Wewewa Tengah Artoce Rison Ngongo; Andreas Ariyanto Rangga; Felysitas Ema O Sanga
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 5 (2024): Oktober: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i5.373

Abstract

The very rapid development of information technology over time has felt the benefits of most people in the fields of education, health, entertainment, information sources, the world of business and communication without limitations of place and time. The internet is one of the latest communication information technologies, the internet has almost unlimited reach and reaches almost all groups in Indonesian society. Information technology is a technology that is developing rapidly at present. The real proof of current technological developments is computers. Computers are designed to automatically receive and store data (Input), process and produce data (output) using programs stored in computer memory. The use of Information Technology is not only limited to companies or government agencies but can also be used in the world of education. Research results System results can collect alternative student assessment data as well as criteria and sub-criteria data. The system can make decisions by calculating the core factor and secondary factor values ​​for each alternative and sub-criteria so that the student's decision can be accepted.
Implementasi Metode AHP dalam Penentuan Penerimaan Bantuan Langsung Tunai (BLT) Berbasis Web Desi Yanti Kallu Pare; Andreas Ariyanto Rangga; Lidia Lali Momo
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 5 (2024): Oktober: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i5.374

Abstract

One of the government initiatives of the Sobawawi sub-district is Direct Cash Assistance, or BLT, which aims to lessen the financial strain on the population. Not everyone is eligible for direct cash assistance because it is meant to help low-income families fulfill their basic necessities. The government offers cash support to those who are considered impoverished through the Direct Cash support (BLT) program. This program is intended to help those who struggle to manage their financial situation. In order to help resolve and minimize errors when assessing who was eligible to receive BLT (Direct Cash Assistance) in the Sobawawi district, a decision support system was developed in response to the issues that arose throughout the selection process. The goal of this system is to support decision-making processes that employ the Analytical Hierarchy Process (AHP) technique. The results of both system and manual computations demonstrate how the decision-making system uses the AHP method's notion to determine. Based on the method employed, the system delivers findings that are legitimate and accurate. Ultimately, alternate priority weights based on ranking are determined.
Implementasi Metode Analytical Hierarchy Process untuk Keputusan Pemberian Ijin Operasional Sekolah Tingkat SMA/SMK di Kabupaten Sumba Barat Herlina Yasinta Duki; Andreas Ariyanto Rangga; Lidia Lali Momo
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 5 (2024): Oktober: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i5.375

Abstract

In order for students to actively develop their potential for religious spiritual strength, self-control, personality, intelligence, morality, life sciences, general knowledge, and the skills they need for society based on the law, education is a planned basic effort to create a learning atmosphere and learning process. Invite. Although it can also be autodidactic, education frequently takes place with the assistance of other people as well as biological parents. Preschool, elementary school, middle school, high school, and finally college, university, or apprenticeship are the typical phases of education. Another important factor in a region's development is education. Therefore, a decision support system that can make suggestions for choosing state institutions and study programs is required for West Sumba Regency SMA/Vocational Schools. The Analytical Hierarchy Process (AHP) approach is used to weight the value of each criterion, and the Simple Additive Weighting (SAW) method is used to calculate the weighted total or to order the alternatives from best. The weights of each alternative—a state university or study program—along with all of its features are added up to determine recommendations for selecting one. The chosen option will be indicated by a higher value. This system generates a report on the outcomes of management decisions, which includes the management's selections based on all options arranged from greatest to smallest SAW value. MySQL and Microsoft Visual Studio 2008 were used to develop the decision support system suggestions for choosing state colleges and study programs for the database.
Tempat Sampah Otomatis Menggunakan Sesnsor Ultrasonik Berbasis Arduino Uno Iwang Rivaldi
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 5 (2024): Oktober: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i5.385

Abstract

The importance of innovation in waste management is increasingly felt in this modern era. This research introduces an automated waste handling system utilizing Arduino Uno-based sensors. Arduino Uno, as a versatile microcontroller, is employed to control the automation process in waste bins. Integrated ultrasonic and load cell sensors assist in identifying the presence of individuals disposing of trash and monitoring the weight of the waste, triggering the automatic disposal mechanism. This implementation not only enhances the efficiency of waste management but also provides convenience for sanitation workers. The study details the design, implementation, and performance evaluation of the automated waste bin system, showcasing the potential utilization of Arduino Uno technology in creating intelligent and sustainable solutions for waste management.
Implementation of the Naive Bayes Algorithm on Malaria Data Set Using Rapid Milner Ridwan Andri Prasetio; Gergorius Kopong Pati; Katarina Yunita Riti
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 5 (2024): Oktober: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i5.386

Abstract

Medical record data can be used as a benchmark and comparison in the health business to ascertain the rate at which a disease is developing in a given area. It would be beneficial, though, if this data could be transformed into useful information, like illness forecasts. Infectious diseases like malaria are common in tropical and subtropical regions. West Sumba Regency is the region with the highest number of malaria cases, and this figure rises year. Of the different Puskesmas labor locations, Lolo Wano Health Center has the largest number of positive cases of malaria. In order to apply information system technology and prevent malaria early, research was done at the Lolo Wano Community Health Center to predict malaria using the Naïve Bayes approach. This is because the Community Health Center does not currently have a malaria prediction system. Six of the 16 features in the patient dataset—a total of 27 patient data—were malaria symptoms. When there are suitable illness indicators, positive predictions are produced using the outcomes of Naïve Bayes computations. Before the patient proceeds with a direct medical evaluation, these anticipated results may be utilized as a provisional approximation. Naïve Bayes, Center, Prediction, Malaria
Sistem Pakar untuk Mendiagnosa Penyakit Tanaman Cabai Menggunakan Metode Forward Chaining : Studi Kasus Pertanian Maju Berbasis Web di Kabupaten Ende Paulus Apostolus Wangga; Friden Elefri Neno
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 5 (2024): Oktober: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i5.435

Abstract

Chilli farming is an important sector in Ende District, but plant disease problems are often an obstacle that hampers productivity. Farmers often have difficulty recognizing the symptoms of disease in chili plants and determining appropriate treatment steps. To overcome this problem, this research aims to design and build a web-based expert system that can help diagnose chili plant diseases using the Forward Chaining method. This expert system was developed by collecting knowledge from agricultural experts and literature related to chili plant diseases, as well as applying the Forward Chaining method for the reasoning process. Users, especially farmers, can enter the symptoms experienced by chili plants into the system, then the system will produce a disease diagnosis and appropriate treatment recommendations based on these symptoms. This research uses a case study at Maju Tani Agriculture in Ende District to ensure that the expert system developed is relevant to local conditions. This system is implemented in the form of a web-based application so that it can be accessed easily by farmers using devices connected to the internet. The test results show that this expert system can provide accurate and efficient diagnoses, as well as assist farmers in making decisions to overcome chili plant disease problems. It is hoped that this system can increase agricultural productivity and reduce the risk of losses due to plant diseases.
Rancang Bangun Boiler Panci Presto untuk Setrika Uap dengan Penambahan Komponen Indikator Level Air Muhamad Zainudin; Ziyadatul Husna
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i6.449

Abstract

This research was motivated by several laundries that use pressure cooker steam iron boilers for the ironing process. However, there are still users who find it difficult to estimate water level. If the water in the pressure cooker dries up or runs out whitout knowing it, then this can be dangerous and have a bad impact both on the user and in terms of the quality of the pot. So the aim of this research is to modify the pressure cooker steam iron boiler by adding a water level indicator whose function is to determine the water capacity during the ironing process, so that it is hoped that it can minimize work accidents. The method use is descriptive quantitative. From the design process, the tool was then tested to determine the starting time for using the iron using pressure variations of 15 psi, 20 psi, and 22 psi. From the research results, it was found that the design process was carried out through several stages, including the measurement process, drilling process, and assembly process. The test results started that the optimal pressure was 20 psi, because at this pressure the steam produced was optimal with a heating time of a 58 minutes.
Pemanfaatan Jaringan Saraf Tiruan untuk Prediksi Curah Hujan di Sumatera Utara Arizka Anggraini; Lailan Sofinah Harahap
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i6.457

Abstract

The use of Artificial Neural Networks (JST) for weather prediction is one of the innovative approaches in climate data analysis. This study aims to apply JST in predicting weather, especially rainfall and the number of rainy days in the North Sumatra region. Historical weather data obtained from BMKG Region I for 2022-2023 is used as input to train the JST model. With a training process that involves processing rainfall data, this model is expected to provide accurate predictions regarding weather patterns. The results of this research can help in agricultural sector planning, disaster risk mitigation, and natural resource management. JST has proven to be effective in identifying dynamic and complex weather patterns, so it has the potential to be used in long-term weather prediction.
Perancangan Model Jaringan Syaraf Tiruan untuk Memprediksi Penyakit Demam Berdarah Menggunakan Algoritma Hebb Rule Adinda Tarisyah Hsb; Mazayah Tsaqofah; Lailan Sofinah Harahap
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i6.483

Abstract

Dangeu dengue fever or what we often call dengue fever is a disease transmitted by the Aedes aegypti mosquito and caused by the dengue virus. This disease can potentially cause serious complications if it does not receive proper treatment. In this research, the author uses the application of artificial neural networks with the Hebb rule approach to predict the risk level of dengue fever. Predictions are made based on factors such as weather conditions, population density and historical case data that influence this disease. The Hebb rule is used in this research because of its ability to strengthen connections between neurons based on the input patterns they receive, so it is hoped that it can produce more accurate predictions. Test results show that this method has a fairly high level of accuracy in predicting the pattern of dengue fever cases in an area. This research indicates that the application of artificial neural networks with the Hebb rule can be an effective tool for related parties in taking preventive measures to minimize the number of dengue cases in the future.

Page 7 of 29 | Total Record : 286

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