{"title":"PERBANDINGAN PENGOLAHAN DATA PREDIKSI PERSEDIAAN GAS LPG 3KG MENGGUNAKAN REGRESI LINIER BERGANDA DAN K-MEANS","authors":"Annisa Rismanitanti, Rima Mawarni, Sidik Rahmatullah, Dwi Marisa Efendi, Sulis Nurbaiti","doi":"10.30873/ji.v22i2.3376","DOIUrl":"https://doi.org/10.30873/ji.v22i2.3376","url":null,"abstract":"he oil and natural gas sector is a sector that is used with great importance for Indonesia's national development. An interesting commodity to watch out for in the oil and gas industry is liquefied petroleum gas (LPG). LPG is a hydrocarbon gas that has been liquefied under pressure to facilitate storage, transportation, and handling and the main ingredients consist of propane/C3, butane/C4 or can be mixed to produce mixed LPG..At this time PT. BLORA MUSTIKA does not focus on when household needs increase and when not, the meaning of this is that LPG gas data is not used properly and is only recorded, this of course makes PT BLORA MUSTIKA unable to predict demand from sub-distributors and results in frequent an empty supply of LPG gas causing difficulties for the community to obtain 3 Kg LPG gas. This problem can be calculated and compared with the Multiple Linear Regression and K-Means methods.By using the Multiple Linear Regression and K-Means method, it is hoped that it will make it easier for PT. BLORA MUSTIKA in determining demand predictions from sub-distributors so that there is no shortage of LPG gas supplies and which method can be obtained which is more effective and efficient.","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88802651","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":"IMPLEMENTASI METODE AHP UNTUK MEMILIH KENDARAAN RODA EMPAT","authors":"Intan Oktaria, Fathurrahman Kurniawan Ikhsan","doi":"10.30873/ji.v22i2.3411","DOIUrl":"https://doi.org/10.30873/ji.v22i2.3411","url":null,"abstract":"Memiliki kendaraan roda empat merupakan kebutuhan mendasar para pengguna jalan hal ini dikarenakan lalu lintas mobile yang mengharuskan para pengguna jalan berpacu mengejar waktu demi kepentingan dan kebutuhan pengguna jalan itu sendiri. Untuk memiliki kendaraan roda empat yang sesuai dengan kebutuhan pengguna, pengguna cenderung membanding-bandingkan beberapa hal dari kendaraan satu dengan kendaraan lainnya seperti harga kendaraan, efisiensi keiritan bahan bakar, fitur kendaraan, kehandalan mesin, dan juga tipe kendaraan tersebut. Untuk mengatasi permasalahan itu pengguna dapat membandingkan langsung hal-hal tersebut agar nantinya pengguna tidak mengalami kebingungan dalam memilih kendaraan. Metode yang dapat digunakan untuk menentukan kendaraan roda empat yang sesuai dengan kebutuhan dan budjet masyarakat yakni salah satunya dengan menggunakan metode Analityc Hierarchy Process (AHP). Metode AHP merupakan metode sistem pengambil keputusan yang menggunakan tingkatan hierarcy dalam mengatasi permasalahan yang kompleks yang membutuhkan keakuratan dan keefiensi dalam merencanakannya. Berdasarkan hasil pengujian metode menunjukan hasil yang signifikan, dalam hal ini Honda Brio lah yang paling layak untuk digunakan oleh masyarakat.","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86956047","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}
Rizal Abi Islahudin, Sidik Rahmatullah, Asep Afandi, S. Safitri
{"title":"ALGORITMA C4.5 UNTUK MEMPREDIKSI KELAYAKAN PENERIMA BANTUAN PANGAN NON TUNAI","authors":"Rizal Abi Islahudin, Sidik Rahmatullah, Asep Afandi, S. Safitri","doi":"10.30873/ji.v22i2.3367","DOIUrl":"https://doi.org/10.30873/ji.v22i2.3367","url":null,"abstract":"","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74049681","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":"PENERAPAN ALGORITMA K-MEANS CLUSTERING UNTUK PENGELOMPOKAN UNIVERSITAS TERBAIK DI DUNIA","authors":"Faisal Dikarya, Sita Muharni","doi":"10.30873/ji.v22i2.3324","DOIUrl":"https://doi.org/10.30873/ji.v22i2.3324","url":null,"abstract":"Universitas ialah perguruan tinggi yang mengajarkan berbagai ilmu pengetahuan yang terbentuk dari beragam fakultas yang mendirikan pendidikan akademik dan vokasi dan juga memberikan gelar akademis dalam beragam bidang. Fungsinya juga bukan sekedar wadah untuk membangun keahlian namun serta membangun individualitas, merubah pola pikir, sosial dan karakter. Semakin berkembangnya zaman maka semakin banyak juga universitas yang berdiri didalam negeri maupun diluar negeri maka dari itu dibuatlah Penelitian yang bertujuan untuk menentukan universitas terbaik dari 2000 data universitas teratas didunia. Data study ini dikutip dari Website kaggle.com/datasets. Metode yang digunakan ialah metode algoritma K-Means lalu diolah dengan aplikasi rapidminer. Bersumber dari hasil uji bisa disimpulkan maka yang terbaik di cluster 2 adalah Harvard University dengan 667 Universitas , di cluster 1 University of Haifa dengan 667 Universitas, dan di cluser 0 National Chung cheng University dengan 666 Unitersitas.","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84216268","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":"Analisis Risiko Website Ujian Online Sertifikasi dengan metode OCTAVE Allegro pada PT.XYZ","authors":"Muhamad Aufadhiya Elhaq, Sri Lestari","doi":"10.30873/ji.v22i2.3517","DOIUrl":"https://doi.org/10.30873/ji.v22i2.3517","url":null,"abstract":"","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"75 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85729115","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":"PENENTUAN BENIH LELE JAWA MENGGUNAKAN METODE CASE BASED REASONING (CBR)","authors":"Trisna Hadi Prawira, Sita Muharni","doi":"10.30873/ji.v22i2.3325","DOIUrl":"https://doi.org/10.30873/ji.v22i2.3325","url":null,"abstract":" Clarias Batrachus merupakan nama ilmiah dari Lele Jawa, atau lele asli, asli perairan Indonesia. Ikan lele ini mempunyai kebiasaan berjalan di daratan yang bertujuan untuk mencari daerah dengan lebih banyak air, sehingga ikan lele ini sering disebut dengan Walking Catfish. Pemubidayaan lele jawa begantung pada kualitas benih. Hal ini karena benih yang berkualitas, adalah salah satu hal yang menciptakan atau yang menghancurkan kesuksesan sebuah kegiatan budidaya jadi pembudidaya membutuhkan pemilhan benih. Metode pemilihan yang sering digunakan adalah metode Case Base Reasoning. Metode ini memakai pengalaman sebelumnya pada masalah serupa buat tahu memecahkan kasus baru. Penalaran berbasis masalah mengidentifikasi masalah masa kemudian lalu membandingkannya menggunakan masalah baru melihat dari kriteria benih seperti ukuran, nafsu makan, kondisi, gerak, kondisi kulit, kumis dan nantinya mendapatkan solusi agar sesuai dengan kasus yang baru lalu dapat disimpulkan bahwa benih tersebut berkualitas atau tidak","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72512112","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":"PENERAPAN METODE WEIGHT PRODUCT (WP) PADA PEMILIHAN KAFE BAGI MAHASISWA PENDATANG DI KOTA METRO","authors":"Untoro Apsiswanto, Chaisar Adi Pamungkas","doi":"10.30873/ji.v22i2.3368","DOIUrl":"https://doi.org/10.30873/ji.v22i2.3368","url":null,"abstract":"","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81208756","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":"PENERAPAN QR-CODE DALAM PROSES PEMBAYARAN DIGITAL DI KAMPUS","authors":"M. A. Suryawan, La Ode Muhammad Jihad Al Faris","doi":"10.55340/jiu.v11i2.801","DOIUrl":"https://doi.org/10.55340/jiu.v11i2.801","url":null,"abstract":"The payment system at Dayanu Ikhsanuddin University (Unidayan) is done manually by taking a payment slip at the financial counter, then making payments at the designated bank, such as payment of tuition fees, KKN, graduation, PBL, PPL, and final project or thesis. Payment methods like this make students often experience difficulties in making payments, causing discomfort and tend to delay payments. This study aims to apply the QR Code system in the digital payment process on campus. The research method used is the waterfall model. The method implements a sequential software life flow, starting from analysis, design, coding, and testing. This research produces a digital payment application on the Unidayan campus by implementing a QR Code system which can later make it easier for students to make payments by making a top-up and then scanning the QR code. thus it can help the finance department get data on students who have or have not paid tuition fees, namely SPP, KKN, Graduation, PBL, and Final Projects or Thesis.","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89975540","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}
Sultan Hady, Henny Hamsinar, Reka Putri Hardiyanti
{"title":"PENERAPAN DATA MINING DENGAN METODE SINGLE MOVING AVERAGE UNTUK MENENTUKAN JUMLAH PENJUALAN OBAT","authors":"Sultan Hady, Henny Hamsinar, Reka Putri Hardiyanti","doi":"10.55340/jiu.v11i2.1051","DOIUrl":"https://doi.org/10.55340/jiu.v11i2.1051","url":null,"abstract":"Anita Farma 2 Pharmacy is one of the private pharmacies in the city of Baubau which still implements a manual system for drug sales management and has not implemented a method to predict future drug sales. So that there are various kinds of drugs that experience excess stock and some drugs experience stock shortages. The purpose of this study is to make it easier to predict future drug stock requirements at Anita Farma 2 Pharmacy using the application of data mining with the web-based Single Moving Average method. The method used in this study is the Single Moving Average (SMA) method which is a technique for calculating the average of a number from the latest actual value, updated as new values become available, carried out to forecast the following periods using the method Mean Absolute Percentage Error (MAPE) to calculate the accuracy of predictions on the Single Moving Average method. The results of the research system used the Single Moving Average method, namely period 2 (M2) of 23.25%, period 3 (M3) of 26.23% and period 4 (M4) of 28.22% using 5 drug samples with sales for 5 years from January 2017 to December 2021 Among the 3 periods of drug sales forecasting tested using manual calculations with MAPE it can be concluded that period (M2) is better than periods M3 and M4 with a percentage of MAPE \"Good Forecasting\" of 16.67% and the smallest error rate of 23.25 %.","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81626662","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}
Asniati Asniati, Ery Muchyar Hasiri, Wa Ode Rosmiani
{"title":"PROTOTIPE SISTEM PENDETEKSI POLUSI UDARA MENGGUNAKAN SENSOR ASAP MQ-2, SENSOR GAS MQ-6 DAN SENSOR API PADA RUANGAN DENGAN OUTPUT ALARM BERBASIS MIKROKONTROLLER ARDUINO","authors":"Asniati Asniati, Ery Muchyar Hasiri, Wa Ode Rosmiani","doi":"10.55340/jiu.v11i2.1204","DOIUrl":"https://doi.org/10.55340/jiu.v11i2.1204","url":null,"abstract":"The current industrial development has entered the industrial era 4.0 marked by progress from various aspects, for example the development of microcontroller-based controller technology to be applied to smarthomes. One of them is controlling and monitoring dangerous air pollution and if it is inhaled directly by humans in large enough quantities it will cause health problems in respiratory function. There are various kinds of air pollution, such as CO and CO2 which are found in burning cigarettes or other burning which is carried out every day in households. In addition to hazardous substances, to support a complete smarthome-based research, it is also necessary to add a sensor to detect fires and gas leaks in households. This study aims to design and manufacture a room pollution detector using the MQ-2, MQ-6 and Flame Sensor sensors to detect air pollution caused by CO and CO2 and detect LPG gas leaks and detect fires with notifications via led matrix and based alarms. arduino . The results of this study indicate that to design and manufacture pollution detectors using a smoke sensor that uses Arduino Uno as a microcontroller that controls the work of the system connected to the MQ-2 sensor used to detect smoke, the MQ-6 sensor to detect LPG gas, and to detect fire use Flame. Sensor (Fire Sensor) DFR0076. From the results obtained by the MQ2 smoke sensor, the resistance value of the sensor will decrease when smoke is given, otherwise the sensor resistance value will increase when smoke is not given. The sensor resistance ranges from 150 Ω – 300 Ω when smoked and 1.5 KΩ to 1.7 KΩ when not smoked. gas sensor resistance increases when given gas and decreases when it does not detect gas. The sensor resistance when reading the presence of gas in the air is between 100 Ω - 400 Ω, and when it does not detect gas, it is 0 Ω - 12 Ω. On the Flame sensor, the sensor voltage value changes when it detects fire. The voltage value increases if it detects fire and vice versa the sensor voltage decreases when it does not detect fire. The sensor voltage value when detecting fire is between 1.2 Volts – 5 Volts, while when it does not detect fire, it is between 0 Volts – 0.9 Volts.","PeriodicalId":32029,"journal":{"name":"Proxies Jurnal Informatika","volume":"161 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86177248","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}