{"title":"Weighted Product Method in the DSS for Employee rewards at the Cosmetics Warehouse","authors":"Laela Jati Satriani, Hendita Ayu Wulandari, Pujana Nisya Arifa, Imam Tahyudin","doi":"10.31763/iota.v2i3.567","DOIUrl":"https://doi.org/10.31763/iota.v2i3.567","url":null,"abstract":"The Cosmetic Warehouse in this research is located in Purwokerto, a one-effort trade that provides beauty products. Cosmetic Warehouse Purwokerto had stood up since 2013 when Navissatul Darojah Gusmiati was founded with ten employees. The study aimed to apply the weighted product method as a decision support system for determining employee bonuses in the Purwokerto cosmetic warehouse and giving less salary and bonuses following performance employees. The Weighted Product method is a decision-making method with specific criteria. The weighted Product method is used to decide with multiplication for link attribute rating. Rating each attribute must be promoted, especially formerly with weight attribute in question; in a study, this is the data used, i.e., result data interview in the form of a later questionnaire processed by Weighted method product (WP). This research can produce results in the form of calculations with the used algorithm WP company with clear and detailed about giving employee bonuses with existing criteria. Moreover, score preference was obtained by an employee named Indri with a value equal to 0.105670687. for the score, 2nd preference was obtained by Princess with a value equal to 0.10356631, and for 3rd, obtained by Gio with a value equal to 0.101039953.","PeriodicalId":145576,"journal":{"name":"Internet of Things and Artificial Intelligence Journal","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134305212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ali Syafaat, Hasri Akbar Awal Rozaq, Trisna Maulida, Agnis Nur Afa Zumaroh, Rona Sepri Ananda, Imam Tahyudin
{"title":"Internet of Things (IoT) Product Design and Modeling Amikom Purwokerto Hand Sanitizer (AMPUH)","authors":"Ali Syafaat, Hasri Akbar Awal Rozaq, Trisna Maulida, Agnis Nur Afa Zumaroh, Rona Sepri Ananda, Imam Tahyudin","doi":"10.31763/iota.v2i3.544","DOIUrl":"https://doi.org/10.31763/iota.v2i3.544","url":null,"abstract":"In previous research, an automatic hand sanitizer prototype tool was made to prevent COVID-19. The product design in this research is quite complicated and too large. Then, in other studies, a prototype tool has also been made to measure body temperature. The study also had an inefficient prototype design. So, it can be concluded that no product design model is efficient, simple, and has its charm. In this research, the concept design method consists of several stages: planning, measurement, design, and implementation. To identify the production needs that will be used in making AMPUH product design, researchers carry out measurement stages based on a schematic series (Schematic) of the product to be made. AMPUH product designs are made with shapes and models that have been adapted to their components without reducing the aesthetic value, compatibility, complexity, and design applicability. The advantage of this product design is that it always looks at the compatibility with the components that will be installed in it so that it is certain that both in terms of form and function will work well. The drawback of this product design may still leave a little free space in it to minimize the remaining free space and repair.","PeriodicalId":145576,"journal":{"name":"Internet of Things and Artificial Intelligence Journal","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128775830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Prototype of Garbage Picker Ship Robot Using Arduino Nano Microcontroller","authors":"Ivana Maretha Siregar, M. Yunus, V. M. M. Siregar","doi":"10.31763/iota.v2i3.540","DOIUrl":"https://doi.org/10.31763/iota.v2i3.540","url":null,"abstract":"This study aims to create a robot prototype for a garbage collection ship made using an Arduino nano microcontroller. The prototype of this garbage collection robot vessel is controlled by an Android smartphone application that is connected via Bluetooth. The prototype of the robot of the boat was made to deal with piles of garbage that can cause flooding. The method used in making the prototype ship robot along with the controller application begins with identifying the problem, namely the problem of piles of garbage, then needs analysis. Moreover, in this research, what will be developed is in terms of design, ship robot prototype, and ship robot controller design. Next is implementation and testing. The prototype of the garbage collection ship robot uses an Arduino nano microcontroller and in making a controller application using Android Basic 4. Then the trial stage was carried out on an Android smartphone. The results of this study are a prototype ship robot that can move according to commands through a controller application.","PeriodicalId":145576,"journal":{"name":"Internet of Things and Artificial Intelligence Journal","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131735723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Intan Indri Fitriyani, Nur Ngaenun Agustina, Alya Nur Fajarianti
{"title":"Weighted Product Implementation In Selection of Superior Jersey Materials in Gorich Industry and Production","authors":"Intan Indri Fitriyani, Nur Ngaenun Agustina, Alya Nur Fajarianti","doi":"10.31763/iota.v2i3.568","DOIUrl":"https://doi.org/10.31763/iota.v2i3.568","url":null,"abstract":"The success of a convection business is determined by the materials used. The more the need for orders at GORICH Industry and production convection, the business owner must be competent in producing and selecting superior materials so that customers feel satisfied with the products purchased. The number of materials and the various criteria for these materials requires a decision support system as a solution for selecting the best materials, which is used as a recommendation for material selection to prospective buyers. This method was chosen for this study using the Weighted Product method because it can determine the weight value for each attribute; in this case, it can be followed by ranking, which will be able to select each quality from the best alternative from several existing choices. From the results of the analysis, it was also found that the jersey material alternative recommended at Gorich Industry and Production fell on the A8 option, namely Emboss material.","PeriodicalId":145576,"journal":{"name":"Internet of Things and Artificial Intelligence Journal","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121025464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Association Analysis in Java Ateka for Stationery Sales Promotion Using the FP-Growth Algorithm","authors":"Syafa Wajahtu Wardani, Silvia Windri Lestari, Nauffal Ammar Daffa, Imam Tahyudin","doi":"10.31763/iota.v2i3.569","DOIUrl":"https://doi.org/10.31763/iota.v2i3.569","url":null,"abstract":"Every company or organization must have the right strategy to continue business or organizational activities. If not used, product sales data at the company will only become a pile of data; of course, it is regrettable if it is not used properly. The company can use the most product sales data to determine the next marketing strategy. To find out this data (the most sales), Association Rules Analysis is needed on the FP-Growth Algorithm method. This research aims to determine the association rule of Java ATK sales using the FP-Growth algorithm. This algorithm can be used for extensive data sets and to process Big Data. The results of this study are the FP Growth algorithm using association rules, which can be implemented in bookstore sales data with support count and minimum confidence parameters. A decimal value of 0.8 can form a product purchase correlation to increase stationery sales in Java Ateka. The rule obtained from the results of the FP-Growth calculation is that there are three transactions where if you buy item A, you will buy item B.","PeriodicalId":145576,"journal":{"name":"Internet of Things and Artificial Intelligence Journal","volume":"11 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120809905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Khotimah, Lintang Wahyu Anggraini, Weersa Talta Alfirnanda, Imam Tahyudin
{"title":"Decision Support System for Selecting KIP-K Recipients at Amikom University, Purwokerto Using the TOPSIS Method","authors":"K. Khotimah, Lintang Wahyu Anggraini, Weersa Talta Alfirnanda, Imam Tahyudin","doi":"10.31763/iota.v2i4.566","DOIUrl":"https://doi.org/10.31763/iota.v2i4.566","url":null,"abstract":"The Indonesia Smart College Card Program (KIP-K) is a tuition assistance program (scholarship) from the Government through the Ministry of Education, Culture, Research and Technology (Kemdikbudristek). In the KIP-K scholarship selection process, criteria are needed to determine who is right to receive the KIP-K scholarship. This study aims to carry out the process of determining the ranking of KIP-K scholarship recipients based on the TOPSIS method. To determine scholarship recipients with outstanding achievements, Amikom Purwokerto University selects prospective scholarship recipients based on several criteria. The criteria used are Student DTKS Status, Parents' Income, Parents' Dependents, Average School Exams, Student Transportation Costs. The results obtained from this study are in the form of ranking obtained from the highest value to the lowest value. There were 112 prospective students who were entitled to get KIP-K scholarships out of a total of 314 applicants.","PeriodicalId":145576,"journal":{"name":"Internet of Things and Artificial Intelligence Journal","volume":"108 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126076769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. M. M. Siregar, M. Hanafiah, Nancy Florida Siagian, Kalvin Sinaga, M. Yunus
{"title":"Decision Support System For Selecting The Best Practical Work Students Using MOORA Method","authors":"V. M. M. Siregar, M. Hanafiah, Nancy Florida Siagian, Kalvin Sinaga, M. Yunus","doi":"10.31763/iota.v2i4.562","DOIUrl":"https://doi.org/10.31763/iota.v2i4.562","url":null,"abstract":"This research aims to solve the problem of selecting the best practical work students at the Politeknik Bisnis Indonesia. The current selection of the best practical work students at PBI does not yet use a decision support system approach. This problem is solved by building a Decision Support System using Multi-Objective Optimization based on Ratio Analysis (MOORA) method. The criteria used in this DSS consist of discipline, teamwork, skills, quality of work, and attendance. As for the results of data processing from this study, the three best alternative data were obtained, namely alternative Vivi (A6) as the 1st best Practical Work Students with a score of Yi = 36.5954, Hafiz (A1) as the 2nd best Practical Work Students with a score of Yi = 34.5339, Cahaya (A3) as the 3rd best PKL student with a score of Yi = 33.4767. Through this decision support system that has been built, the selection of the best practical work students can be made quickly and effectively.","PeriodicalId":145576,"journal":{"name":"Internet of Things and Artificial Intelligence Journal","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126230407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roma Manurung, Dewi Purwita Sari, Nabila Agustinah, Razel Syanahieskara, Imam Tahyudin, Nurfaizah Nurfaizah, Siti Alvi Sholikhatin
{"title":"Analysis of Tourism Businesses Number in the Entertainment and Recreation Sector using Predictive Apriori Algorithm","authors":"Roma Manurung, Dewi Purwita Sari, Nabila Agustinah, Razel Syanahieskara, Imam Tahyudin, Nurfaizah Nurfaizah, Siti Alvi Sholikhatin","doi":"10.31763/iota.v2i4.550","DOIUrl":"https://doi.org/10.31763/iota.v2i4.550","url":null,"abstract":"Data Analysis of the Number of Tourism Businesses in the Entertainment and Recreation Sector is used as data sources for extracting information. In this study, data on the number of tourism businesses in the entertainment and recreation sector will be mined to support decision-making information. This research purpose is to analyze the tourism business number in the entertainment and recreation sectors. The method is using predictive Apriori algorithm. The data has been tested using Knime software to process data on the number of tourism businesses in the entertainment and recreation sector at the domestic level by using business data whose numbers are increasing or decreasing. Starting from entering nodes 1, 2 and 3 to getting node 4, which is the final result. The results obtained show the data set that produces the final result for every 1 tourism business data. The result obtained that the tourism number in entertainment and recreation sectors are increasing. Furthermore, the prediction result of entertainment and recreation which have best accuracy are balls, discotheques, massage parlors, karaoke, live music, massage parlors, sports and physical fitness centers, family recreation facilities and spa","PeriodicalId":145576,"journal":{"name":"Internet of Things and Artificial Intelligence Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130631903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdul Wahid, Ilham Juliady, Satria Gunawan Zain, J. M. Parenreng
{"title":"Secure Wireless Sensor Network using Cryptography for Smart Farming Systems","authors":"Abdul Wahid, Ilham Juliady, Satria Gunawan Zain, J. M. Parenreng","doi":"10.31763/iota.v2i4.554","DOIUrl":"https://doi.org/10.31763/iota.v2i4.554","url":null,"abstract":"Internet of Things (IoT) technology has become part of human life. Agriculture in many parts is one of IoT implementation segment including the Cultivation of mold oysters. Internet of Things (IoT) is applied to collect data from combined sensors in the Wireless Sensor Network (WSN) will make it easy for farmers to monitor and control garden they remotely. Regardless of the application system control distance far based WSN that will make it easy for a farmer, the system has gap security, and one of them that is hacking and tapping of communication data The IoT . is really dangerous on effort if condition room mold oyster the known by someone hacker who can just is rival effort. It is a needed something method for secure communication when the data transfer process is over-guaranteed. The method used is application Base64 -based data encryption/decryption on WSN node devices and controlling and monitoring mobile devices. Based on results trials carried out after the implementation of Secure WSN with scenario tapping using the Wireshark tool show no data can be read. Analysis results show that this model could be applied as Secure WSN for Smart Farming System.","PeriodicalId":145576,"journal":{"name":"Internet of Things and Artificial Intelligence Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129884528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jumadi Mabe Parenreng, S. Syahrul, Abdul Wahid, Desta Winda Sary
{"title":"Modern Farming Biofloc ponds for tilapia aquaculture based on the internet of things use a fuzzy logic algorithm","authors":"Jumadi Mabe Parenreng, S. Syahrul, Abdul Wahid, Desta Winda Sary","doi":"10.31763/iota.v2i4.548","DOIUrl":"https://doi.org/10.31763/iota.v2i4.548","url":null,"abstract":"This study aims to create a smart system in controlling tilapia biofloc ponds. The type of research is laboratory experiments and the category of system testing, namely Functionality testing, is used to measure the performance of the system hardware. Testing the functionality of the prototype is tested in 2 stages, the first test begins with knowing the accuracy of sensor data and testing manually. The second test is to test the prototype as a whole, namely by giving treatment so that the performance of the prototype can be known as desired. The results obtained when the temperature is cold, the water heater heater will turn on and treatment to the pH sensor is obtained, namely an acidic pH condition, then the water pump will turn on and drain the water until the ultrasonic sensor detects the maximum water level that can be drained. Testing on feeding is by monitoring the servo successfully rotating, opening and closing the feed storage container based on the time that has been set. The results of monitoring feeding in the morning, afternoon and evening are successful and can send notifications. Based on the test results, the resulting \" Modern Farming Biofloc ponds for tilapia aquaculture based on the internet of things use a fuzzy logic algorithm\" can run as expected.","PeriodicalId":145576,"journal":{"name":"Internet of Things and Artificial Intelligence Journal","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130567064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}