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All Journal Jurnal Media Infotama JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) INCODING: Journal of Informatics and Computer Science Engineering Jurnal Komputer, Informasi dan Teknologi Jurnal Media Computer Science Jurnal Garuda Pengabdian Kepada Masyarakat
Alinse, Rizka Tri
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Analisis Penerapan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) dan Metode Weighted Aggregated Sum Product Assessment (WASPAS) pada Pemilihan Mekanik Sepeda Motor Terbaik Sari, Venny Novita; Alinse, Rizka Tri; Sallaby, Achmad Fikri
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2627

Abstract

A company engaged in the sale and repair of motorcycles, of course, requires a reliable and responsible mechanic in his work, for that a motorcycle mechanic is needed in accordance with the terms and conditions required by the motorcycle company. Many mechanics are now opening motorbike repair services, after repairing the motorbike it becomes even worse than before it was repaired, so that it can harm consumers of the repair service. This is because a mechanic only has desperate capital without any experience and abilities that can be guaranteed. Therefore, in selecting the best mechanic, a decision support system is needed with various methods that can be used, such as the TOPSIS method, VIKOR, MOSRA, AHP, MOORA, WASPAS, WP and so on. In this study, the methods used are Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA) and Weighted Aggregated Sum Product Assessment (WASPAS) methods. Each alternative will be assessed based on the criteria for Trouble Shooting, Working Time, Education and Warning Letter, then the process of compiling or ranking each alternative is carried out, so that the best alternative or motorcycle mechanic is obtained. The results after applying the MOORA method, namely alternative A2 is the best mechanic with a value of 1.637 and the WASPAS method is the best mechanic in Q2 with alternative A2 with a value of 0.834. Both methods produce the same results, namely the best mechanic is A2
A Decision Support System for Giving Used Car Loans Using the AHP Method at PT.Batavia Prosperindo Finance Tbk Permana, Anggit; Siswanto, Siswanto; Alinse, Rizka Tri
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.1018

Abstract

Batavia Prosperindo Finance Tbk is one of the companies engaged in the financing of four-wheeled vehicles. The large number of requests for used car loans requires credit financing companies to make decisions quickly and accurately, previously the process of determining creditworthiness by the company was still using the manual method, so it did not rule out the possibility of miscalculations and errors in reading credit granting data. With these problems, a special application is needed that can assist companies in making decisions using the AHP method to determine creditworthiness quickly and accurately. The AHP (Analytical Hierarchy Process) method is one method to help develop a priority from various options using several criteria (multi criteria). Due to its multi-criteria nature, AHP is quite widely used in setting priorities. With this assessment pattern, the cases found at PT. BPF Bengkulu is very suitable when using this method in solving the problem of providing used car loans. From the results of research conducted by the AHP method, it is able to solve problems in the feasibility of giving used car loans using predetermined criteria and sub-criteria, resulting in a final score with the highest score of 0,458273 and the lowest score of 0,133065 and those eligible for used car loans. there are 3 people and 1 people don't deserve to be accepted.
MENENTUKAN POLA PEGAWAI HONORER DI DINAS PERUMAHAN KAWASAN PEMUKIMAN DAN PERTANAHAN DALAM PENERAPAN METODE K-MEANS Alinse, Rizka Tri; Sari, Venny Novita; Sallaby, Achmad Fikri
Jurnal Media Infotama Vol 17 No 1 (2021)
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v17i1.1316

Abstract

The Housing, Settlement Areas and Land Service of Bengkulu Province is a government agency in Bengkulu Province. Performance assessment using a predetermined form. This agency has 11 honorary employees. Every year an evaluation of the performance of honorary employees will be carried out to make decisions and consideration for honorary employee contracts. The aim of this research was to apply the K-Means Method to determine the pattern of honorary employees in the Housing, Settlement and Land Service of Bengkulu Province and to create an application that could provide information on the pattern of honorary employees in the Housing, Settlement and Land Service of Bengkulu Province. The application of the K-Means Method in determining the Pattern of Honorary Employees in the Housing, Settlement and Land Services Department of Bengkulu Province was made using the Visual Basic .Net programming language and SQL Server 2008 Database. The grouping of honorary employee data is based on the results of performance assessments that have been carried out, which in this case There are two to four groups that can be used to differentiate between one honorary employee and another. The results of this grouping can later be used as consideration for the Bengkulu Province Housing, Settlement and Land Services Department to determine who will be contracted for the following year. Based on the results of the tests that have been carried out, the application in determining the pattern of honorary employees can provide information to the Housing, Settlement and Land Services Department of Bengkulu Province as to who is eligible to be given a new contract from the results of grouping performance assessment data for honorary employees.
Pengelompokan Barang Menggunakan Metode K-Means Clustering Berdasarkan Hasil Penjualan Di Toko Widya Bengkulu Sallaby, Achmad Fikri; Alinse, Rizka Tri; Sari, Venny Novita; Ramadani, Tri
Jurnal Media Infotama Vol 18 No 1 (2022): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v18i1.2126

Abstract

The Widya shop sells various kinds of hijab products that are tailored to the needs of fashion development. The Widya Bengkulu store also sells various kinds of women's needs such as clothes, accessories, bags, wallets, soft lenses, cosmetics and other fancy items. So far, Widya Store has not used computers as a data processing medium. All processes of selling goods and inventory of goods are still carried out with book records, and do not yet have an application that can help the process of managing the data of these goods. In addition, in managing inventory, Toko Widya only sees stock based on sales results, if the stock on one of the items runs out, an order will be made to the supplier. Implementation of the K-Means Clustering Method in Grouping Goods Based on Sales Results at the Widya Bengkulu Store was made using the Visual Basic .Net programming language and SQL Server 2008 database. In the Grouping of Goods Based on Sales Results at the Widya Bengkulu Store, it will be processed to seek knowledge from chunks of data, namely goods sales data. Cluster I is a Very Selling Item, Cluster II is a Self Selling Item, and Cluster III is a Less Selling Item. Based on the results of the tests that have been carried out, the application of Grouping Goods Based on Sales Results at the Widya Bengkulu Store can provide information on the best-selling items sold at the Widya Store.
Rancang Bangun Aplikasi Pemesanan Makanan Di Kedai Bakso Solo Mas Tulus Berbasis Android Dengan Metode Highest Ratio Next (Hrn) Nova, Tria; Kalsum, Toibah Umi; Alinse, Rizka Tri
Jurnal Media Infotama Vol 18 No 2 (2022): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v18i2.2654

Abstract

ABSTRACT The Food Ordering Application at Kedai Bakso Solo Mas Tulus aims to change the ordering system that previously only used general applications to become special applications and provide the best to customers therefore customers get maximum service. To get the best service by using a special application using the Highest Ratio Next method, the order will be calculated based on the arrival of the order and the length of time the order is processed so that consumers who order with different arrival times and with different processing times will get a fair order completion time. For Kedai Bakso Mas Tulus, with this special application and with the Highest Ratio Next method, it will change the presentation process of orders that were made previously. Therefore, with the development of a Food Ordering Application at Kedai Bakso Solo Mas Tulus based on Android with the Highest Ratio Next (HRN) it can assist in the process of serving food orders made by consumers. This system can help Kedai Bakso Mas Tulus in determining the best food presentation quickly and precisely. Keywords: Food Ordering Application Design, HRN, Kedai Bakso Mas Tulus.
Penerapan Metode Smart Dalam Memilih Ekstrakurikuler Siswa Di SMA Negeri 08 Seluma Arliyan, Arliyan; Sapri, Sapri; Alinse, Rizka Tri
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6565

Abstract

High school 08 Seluma has 7 (seven) extracurricular activities that students can choose, namely male volleyball, female volleyball, male futsal, female futsal, Paskibraka, Pramuka and Tahsin. In helping students to choose the appropriate extracurricular recommendations, there are assessment criteria consisting of 5 criteria, namely interest, talent, experience, parents’ permission and extracurricular achievement. The implementation of SMART Method in choosing extracurricular activities at High school 08 Seluma can help provide extracurricular recommendations for students that are appropriate and in accordance with student assessment criteria, and it can be used as a forum for managing extracurricular activity data at High school 08 Seluma. Based on the tests that have been carried out, the results show that the implementation of SMART method in choosing extracurricular activities at High school 08 Seluma has run well and in accordance with expectations and the application can provide information on the results of recommendations for selecting student extracurricular activities based on the score values that have been given.
The Implementation Of Analytical Hierarchy Process (AHP) Method In Selecting Outstanding Students Masita, Yeti; Siswanto, Siswanto; Alinse, Rizka Tri
Jurnal Media Computer Science Vol 4 No 1 (2025): Januari
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i1.7538

Abstract

SD Negeri 12 Central Bengkulu is one of the public elementary schools in Central Bengkulu Regency, Bengkulu Province. At SD Negeri 12 Bengkulu, every academic year an assessment of students is carried out through several criteria to select outstanding students who have the ability to master lessons and good self-ethics. The implementation of Analytical Hierarchy Process (AHP) method in the selection of outstanding students at SD Negeri 12 Central Bengkulu can help provide information in the form of recommendations for selecting outstanding students at school based on the final results of AHP method, and can help homeroom teachers in determining outstanding students by looking at the assessment aspects of report cards, attitude scores, percentage of student attendance, and academic and non-academic achievements obtained by students. From the sample data of student assessments at SD Negeri 12 Central Bengkulu, used for calculations through the Analytical Hierarchy Process (AHP) Method for the 2023/2024 academic year as many as 10 students, the recommended ranking results for outstanding students who are in the top 3 are Daffa Hidayatullah, Aura Despianty, and Ciko Pandu Wiryo. Based on the black box testing that has been carried out, the results show that the functionality of the implementation of Analytical Hierarchy Process (AHP) method in selecting outstanding students at SD Negeri 12 Central Bengkulu runs as expected and the application is able to display the results of recommendations for selecting outstanding students through AHP method stages. Based on the alpha testing, the results obtained that the application is quite interesting and quite helpful in selecting outstanding students in each class at SD Negeri 12 Central Bengkulu.
PENERAPAN METODE K-MEDOIDS DALAM CLUSTERING BARANG BERDASARKAN PENJUALAN BARANG DI TOKO AMANAH PLAFON Sulastari, Ezy; Sari, Herlina Latipa; Alinse, Rizka Tri
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2183

Abstract

Penelitian ini bertujuan untuk mengelompokkan barang menggunakan metode K-Medoids berdasarkan hasil penjualan pada Toko Amanah Plafon. Pengelompokan barang yang efektif dapat membantu Toko Amanah Plafon dalam mengidentifikasi pola penjualan, mengoptimalkan manajemen stok, serta merencanakan strategi pemasaran yang lebih efektif. Metode K-Medoids digunakan untuk membagi barang-barang yang dijual oleh Toko Amanah Plafon menjadi beberapa kelompok berdasarkan kesamaan karakteristik. Metode K- Medoids menggunakan pusat kluster rata-rata sebagai representasi kluster, sedangkan K-Medoids menggunakan medoid, yaitu sampel data aktual yang mewakili kluster tersebut data penjualan Toko Amanah Plafon digunakan sebagai input dalam penelitian ini. Data ini mencakup informasi tentang barang- barang yang dijual dan jumlah penjualan yang terkait. Melalui analisis clustering, barang-barang tersebut akan dikelompokkan ke dalam kluster berdasarkan kesamaan pola penjualan. Dengan menggunakan metode K-Medoids, diharapkan penelitian ini dapat memberikan kontribusi dalam pengelompokan barang yang lebih efektif dan membantu pihak Toko Amanah Plafon dalam meningkatkan efisiensi operasional serta pengambilan Keputusan yang lebih baik berdasarkan hasil penjualan
Dampak Positif dan Negatif Pembelajaran Online Terhadap Siswa SMA Masa Pandemi Sapri; Supardi, Reno; Sari, Dian Mardiati; Alinse, Rizka Tri; Pratiwi, Annisa Putri
Jurnal Garuda Pengabdian Kepada Masyarakat Vol 1 No 1 (2023)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/gabdimas.v1i1.107

Abstract

Dalam pembelajaran online ini banyak terdapat kendala terutama pada tugas yang terlalu banyak dan tidak sesuai dengan materi secara maksimal sehingga siswa mengalami kesulitan dan akhirnya stres. Hal ini banyak dialami oleh siswa yang sudah terlihat bosan dengan situasi pandemi ini, selain kebosanan, banyak siswa yang mengalami kesulitan saat belajar, gangguan jiwa juga akan mempengaruhi kondisi siswa untuk lebih peka terhadap lingkungan kesehariannya. Suasana ketika anak terlihat bosan atau bosan dalam melaksanakan pembelajaran online tentunya membutuhkan dukungan dari orang tua dan keluarga karena untuk menstabilkan kondisi siswa maka suasana di rumah harus lebih kondusif saat pembelajaran online berlangsung. Pembelajaran online memiliki dampak positif dan negatif.
Penerapan Metode Regresi Linear Dalam Prediksi Hasil Penangkapan Ikan Pada Dinas Kelautan Dan Perikanan Provinsi Bengkulu Anto, Gebi Andre; Kanedi, Indra; Alinse, Rizka Tri
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.7541

Abstract

Abstract— The Department of Marine and Fisheries of Bengkulu Province is one of the government agencies in Bengkulu Province. At the Department, every year data collection is carried out per semester of capture fisheries production that occurs in each regency / city in Bengkulu Province. The purpose of the research is to determine the predicted value of capture fisheries production in the coming year. The implementation of the linear regression method in predicting fishing yields at The Department of Marine and Fisheries of Bengkulu Province can help provide an estimated prediction of the amount of capture fisheries production in the following year based on the results of processing previous time series data through the Linear Regression Method. In addition, it can be used as an evaluation material for the Department of Marine and Fisheries of Bengkulu Province in making strategic plans (renstra), especially capture fisheries production. Based on the test data used, the results show that the prediction of the amount of fishing (marine fisheries) in the Regency / City of Bengkulu Province in 2024 is South Bengkulu Regency, 2726.3 Central Bengkulu Regency, 1663.62 North Bengkulu Regency, 7709.04 Kaur Regency, 8140.2 Bengkulu City, 44457.32 Muko-muko Regency, 19691.99 and Seluma Regency, 2633.8. It can be seen that the highest number of fishing products is Bengkulu City and the least is Central Bengkulu Regency from the results of prediction analysis using the linear regression method. Keywords: Linear Regression Method, Prediction, Fishing Result.
Co-Authors Anto, Gebi Andre Arliyan, Arliyan Asher, Chindy Fredricka, Jhoanne Herlina Latipa Sari Indra Kanedi Jusuf Wahyudi Lena Elfianty Liza Yulianti Masita, Yeti Nova, Tria Permana, Anggit Pratiwi, Annisa Putri Ramadani, Tri S Siswanto Sallaby, Achmad Fikri Sapri sapri sapri Sari, Dian Mardiati Sari, Lidiya Okta Sari, Venny Novita Sulastari, Ezy Supardi, Reno Syaputra, Sandy Toibah Umi Kalsum Wahyuni, Mera Widodo Widodo