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All Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat International Journal of Artificial Intelligence Research Abdimas Dewantara Jiko (Jurnal Informatika dan komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Journal of Applied Engineering and Technological Science (JAETS) Community Development Journal: Jurnal Pengabdian Masyarakat GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Djtechno: Jurnal Teknologi Informasi Jurnal Multidisiplin Dehasen (MUDE) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Multidisciplinary Journals Jurnal Pengabdian Mandiri Jurnal Komputer, Informasi dan Teknologi
Maryaningsih Maryaningsih
Universitas Dehasen Bengkulu
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An Application Of Case-Based Reasoning Method In Selection Of Food Recipes Based On Ingredients Wahyu Chandra; Maryaningsih Maryaningsih; Yode Arliando
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.539

Abstract

Cooking is an activity carried out by a person by processing food ingredients through the process of applying heat with a specific purpose. In cooking, there are slight differences in the amount of ingredients and seasonings and how they are processed, so a recipe is needed to be used as a reference in cooking. Recipes are measurements used to process food ingredients that have been tested for accuracy. SMK Negeri 3 Bengkulu is one of the Vocational High Schools in Bengkulu City. In the culinary department, students who want to cook still use recipe books (manuals). The main problem in this research is how to assist students in finding information about recipes, so we need a software that can be used in the selection of recipes using the Case Based Reasoning method and Web applications to find recipes that match the food ingredients owned by the user. From the results of the tests carried out the Case Based Reasoning method can be used as a solution in the use of applications to determine the recipe for this food ingredient. In its application, this method can provide a percentage of the level of similarity in searching for a recipe. So that users, especially students of SMKN 3 Bengkulu City, especially in the culinary department, can make this application as a solution for cooking a food recipe with existing ingredients. Based on the system testing carried out, it can be concluded that this application is in accordance with the design and can provide convenience for users to search.
The Implementation Of Apriori Algorithm Methods For Predicting Project Material Purchases At CV. Padat Karya Konstruksi Nadia Elisa Suhardi; Maryaningsih Maryaningsih; Rizka Tri Alinse
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.792

Abstract

In predicting the purchase of goods, there are many methods that can be used, among others, by processing purchase data using Data Mining method accompanied by Priori Algorithm based on the purchasing process carried out by the company based on the relationship between the goods purchased. By using the a priori algorithm, the company in this case is CV. Padat Karya Konstruksi can estimate the number of building materials needed by workers this is due to the large number of goods purchases at CV. Padat Karya Konstruksi to match the work. The stages of the a priori algorithm used are data transformation in tabular table form, determining the minimum value of support and minimum confidence, formation of 1-item set candidate combination pattern then counting the number of occurrences in each item set. So that it is obtained from 17 (seventeen) data, items that are often purchased are cement as much as 11 (eleven) times, split stone 8 (eight) times, and concrete sand as much as 8 (eight) times with a support value of 25% and a confidence value of 75%.
An Expert System In Diagnosing Eye Diseases Using The Dempster Shafer Method Adib Candora; Maryaningsih Maryaningsih; Ila Yati Beti
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1490

Abstract

The eyes are the five senses that are very important in human life for seeing. If the eyes experience eye disorders or diseases, it will have very fatal consequences for human life. Not all eye disease sufferers can know what eye disease they are suffering from due to limited knowledge in the medical field, financial problems and difficulties in transportation to see an eye specialist so they do not get the right attention and action to treat eye disease. However, it cannot be denied that the Rafflesia Hospital in Bengkulu City has a minimal availability of experts or ophthalmologists. This also causes the diagnosis process to tend to take longer, so that the time used becomes inefficient. For this problem, there is a need for a computerized system solution in the form of an expert system that can be used by the public to increase knowledge and information and can be consulted to get initial diagnosis results of eye diseases and how to cure them. This expert system was designed using the Dempster Shafer method. The results of consultation tests with this system show that this expert system is able to determine the disease and the initial treatment or treatment that must be carried out, based on the symptoms selected by the user. This system can be used by patients as a first step when experiencing symptoms of eye disease, to consult a doctor from anywhere online via the URL address: https://sistempakar-mata.my.id. Based on the results of this test, it can be concluded that the application of the expert system for diagnosing eye diseases is functioning well and in accordance with what was recommended by the doctor/expert.
Application Of Data Mining To Analyze Sales Data At Pebi Stores Using Apriori MethodApplication Of Data Mining To Analyze Sales Data At Pebi Stores Using Apriori Method Keken Ardiansyah; Maryaningsih Maryaningsih; Reno Supardi
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1491

Abstract

Toko Pebi is one of the business places that sells various kinds of household items such as plastic chairs, spring bads, sofa bads, dining tables, and others that can be purchased by consumers. The purpose of this research is to provide information on which items are in greatest demand and which items are less in demand through the a priori algorithm. The application of data mining to analyze sales data at Toko Pebi is used to provide information on the results of the analysis of sales data at Toko Pebi every month which can be used as a parameter in managing the inventory of goods at Toko Pebi, besides that it can provide information on the items that sell the most at Toko Pebi. In analyzing the sales data, the Apriori Method has been applied, so that the stages of the final results of the analysis go through the stages of the Apriori Method by meeting the minimum support and minimum confidence that have been previously determined. Based on the results of tests that have been carried out on a sample of data for December 2022 as many as 30 transactions, it is found that the sales of goods that are most in demand by the community are dining chairs and dining tables that meet the minimum support of 20% and confidence of 50%.
Menuju Desa Cerdas: Meningkatkan Literasi Digital Masyarakat Desa Achmad Fikri Sallaby; Liza Yulianti; Maryaningsih Maryaningsih; Edy Hermansyah; Saika Damaiyanti
Jurnal Dehasen Untuk Negeri Vol 3 No 2 (2024): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jdun.v3i2.11097

Abstract

This community service activity is motivated by the low level of digital literacy among rural communities, which affects the optimal use of technology in daily life. The main problems include limited understanding of internet usage, lack of awareness in using social media wisely, and risks of digital technology misuse. The purpose of this activity is to improve community knowledge and skills in utilizing digital technology productively. The methods used include socialization, training, and mentoring with a participatory approach. The activity was conducted in Sri Kuncoro Village, Central Bengkulu Regency, involving the community, village officials, and digital communities. The results show an increase in participants’ understanding of accessing information, using social media wisely, and basic digital security awareness. Therefore, this activity contributes to supporting the development of adaptive rural communities in the digital era.
Implementation of K-Means Clustering Algorithm for Inventory Management Optimization at Putra Mart Maryaningsih Maryaningsih; Sapri Sapri; Abdussalam Al Akbar
International Journal of Artificial Intelligence Research Vol 7, No 2 (2023): December 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.1712

Abstract

The rapid advancement of Information Technology has become a crucial element in enhancing business decision-making efficiency. Putra Mart, a prominent wholesaler in Bintuhan City, faces significant operational challenges due to its reliance on manual inventory recording and supply management systems. These manual processes often lead to data inaccuracies, stock imbalances, and difficulties in identifying market demand patterns. This research aims to address these issues by implementing data mining techniques using the K-Means Clustering algorithm to categorize inventory data into strategic groups based on stock levels and supply frequency.The system development follows the structured Waterfall model, which includes requirements analysis, system design using Data Flow Diagrams (DFD), coding with Visual Basic .Net 2010, and database management using SQL Server 2008. The clustering process utilizes the Euclidean Distance formula to measure the proximity between data points and centroids, effectively partitioning the items into two main clusters: "Fast Moving" and "Slow Moving" goods.The results of the analysis on 2020 transaction data successfully identified a clear distribution of products, with Cluster 1 accounting for 40% of the tested items. System testing through the Blackbox method confirmed that all functional features operate correctly, while a user satisfaction survey yielded a score of 84%, categorized as "Good." This study concludes that the implementation of the K-Means algorithm provides a reliable, data-driven solution for Putra Mart to optimize its inventory management, minimize deadstock, and improve overall service quality for its partner stores
The Greening Movement in Villages as an Investment for the Future Environment Rizky Dwi Cantika; Farhan Ilham Apriyanto; Muhamad Kaka; Royke Tarius; Suci Rahayu; Siti Hanila; Maryaningsih Maryaningsih; Ami Pradana
Jurnal Pengabdian Mandiri Vol. 3 No. 1 (2026): Juni
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/mandiri.v3i1.1335

Abstract

Efforts for reforestation in the village are a crucial measure to safeguard the environment and enhance the well-being of the community. The Betungan Village RT 30 RW 05 is currently facing an environmental issue, specifically the insufficient number of trees, which leads to increased temperatures in the area, making it uncomfortable. This situation encourages the implementation of greening actions as a way to invest in the environment for the future. This article aims to explain the implementation and benefits of the greening initiative in Betungan Village, RT 30 RW 05, in supporting sustainable environmental development. The method used is a descriptive qualitative approach that involves observing in the field, documenting activities, and directly engaging the community in the tree planting process. The results of this activity indicate that greening efforts have positive effects on the environment, such as improved temperature comfort, increased green space, and heightened public awareness of the importance of preserving nature. In addition to benefiting the environment, this activity also enhances community involvement in supporting environmental programs in the village. The cultivation of green plants and crops that can produce is considered to have the potential for long-term benefits, both environmentally and economically. Therefore, the greening efforts in Betungan Village, RT 30 RW 05, serve not only as a response to the current environmental issues but also act as a sustainable investment for the quality of the environment and the well-being of future generations over the long term.
Information-Seeking Behavior Of Students In Choosing Universitas Dehasen Bengkulu Siska Putri; Dilmai Putra; Maryaningsih Maryaningsih
Multidisciplinary Journals Vol. 3 No. 2 (2026): 2026
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mj.v3i2.1445

Abstract

Bengkulu as their university of choice. The problem addressed in this research is how students search for and utilize information before deciding to enroll in a particular university. The aim of this study is to understand the process, sources, and utilization of information used by students when selecting Universitas Dehasen Bengkulu. This research employs a qualitative descriptive approach. Data were collected through in-depth interviews, observation, and documentation involving six new students from different study programs. The data were analyzed descriptively to identify patterns of information needs, information search, and information use. The results show that students experience uncertainty when choosing a university, which encourages them to seek information about campus facilities, tuition fees, study programs, student activities, and career prospects. Students obtain information from both informal sources such as family, friends, and alumni, and formal sources such as social media and official university promotional media. The information is compared across sources before being used as the basis for decision-making. In conclusion, information-seeking behavior helps students reduce uncertainty and strengthen their confidence in selecting Universitas Dehasen Bengkulu as their university.
Co-Authors Abdussalam Al Akbar Adib Candora Aji Sudarsono Ami Pradana Anis Endang Sri Murwani Asnawati Asnawati Bintang Fajri dandi pulama Desi Tosary Dewi Suranti Dian Mardianti Dian Mardianti Dilmai Putra Edy Hermansyah Erick Irwansyah Farhan Ilham Apriyanto Fredricka, Jhoanne Harius Eko Saputra Herlina Latipa Sari Ila Yati Beti Jhoanne Fredricka Kanedi, Indra Kanedi Karno Saputra Hidayat Keken Ardiansyah Kms.Muhammad Apriyansah Lena Elfianty Liza Yulianti Muhamad Kaka Muhammad Afif Syaputra Nadia Elisa Suhardi Nopa Sintia Novita Sari Prahasti Rahmad Arfandi Rahmadewi Roskarlina Reno Supardi Ricky Zulfiandry Rizka Tri Alinse Rizka Tri Alinse Rizka Tri Alinse Rizky Dwi Cantika Royke Tarius Saika Damaiyanti Sallaby, Achmad Fikri Sapri Sapri Sapta Sari Sigit Firdaus Siska Putri Siti Hanila Siti Miftakhurrohmah Suci Rahayu Tri Rizky Oktariany Try Setia Budi Wahyu Chandra Weeildyalihumarita Weeildyalihumarita Yanto Yanto Yode Arliando Yosi Asniar Yani