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All Journal Jurnal Media Infotama International Journal of Artificial Intelligence Research Jurnal Pilar Nusa Mandiri Jurnal Teknoinfo Jurnal Sistem Komputer & Kecerdasan Buatan
Harjanti, Trinugi Wira
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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DECISION SUPPORT SYSTEM FOR SELECTING POINT OF SALE APPLICATIONS USING ARAS AND ROC APPROACHES Harjanti, Trinugi Wira
Jurnal Teknoinfo Vol 18, No 1 (2024): Januari
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v18i1.3436

Abstract

The variety of Point of Sale (POS) applications available on the market with different features, prices, and advantages means that business owners often face challenges in choosing the POS application that best suits their needs and budget. To choose a POS application, a business owner must know, one by one, the characteristics of the application to be chosen. This makes business owners experience difficulties, and it takes a long time to determine which application to choose. Although POS applications promise great benefits, selecting the right application can be a complicated and crucial task. So, this research was carried out with the aim of building a Decision Support System (DSS) for selecting Point of Sale (POS) applications using a combination of ARAS (Additive Ratio Assessment) and ROC (Rank Order Centroid) methods. The ROC approach in this research functions to determine weight values based on priority levels. Meanwhile, the ARAS method compares and ranks alternatives based on attribute utility performance to determine the best alternative. The SPK software was developed on a website basis, with features including managing criteria data, alternatives, alternative values, ARAS method calculations, and viewing alternative ranking results. From the case studies carried out, the highest to lowest utility values were obtained, namely: Majoo (A2) got a value of 0.8626, Moka POS (A2) got a value of 0.8412, Loyverse POS (A1) got a value of 0.8078, Smart Kasir (A5) got a value of 0.7546, and Olsera POS (A3) obtained a value of 0.7136. The output produced by the system obtains the same value as the manual calculation, meaning that the implementation of the ARAS method in the system is declared valid. In terms of testing, usability testing produces an average score of 87.5%. This shows that this system is suitable for use because it has functionality that is considered to be in accordance with user requirements.
IMPLEMENTATION OF INFERENCE ENGINE WITH CERTAINTY FACTOR ON POTENTIAL DIAGNOSIS OF BRAIN TUMOR DISEASE Harjanti, Trinugi Wira
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i1.2947

Abstract

An expert system is a system that has the ability of experts or experts who master a particular field to assist in solving problems. Certainty factor (CF) is one of the methods in an expert system that can define the level of certainty based on facts to show the level of confidence of the expert. This study aims to apply a certainty factor (CF) algorithm to solve the problem of diagnosing potential human brain tumors. Because the symptoms that are felt are not necessarily brain tumors, it is necessary to analyze whether the person has the potential to have a brain tumor or not, even if the potential level is. Brain tumor disease is one of several types of dangerous conditions. This disease is caused by the abnormal growth of cells around the brain. This research produces an application that can diagnose potential brain tumor diseases based on symptom input selected by the user. Then the expert system can display the diagnosis results in percentages and solutions from the results of the diagnosis. The study results indicate that the CF method can solve the problem of uncertainty by giving a degree of confidence from an expert and system user. The accuracy test results resulted in an accuracy value reaching 95%. These results indicate that the system can function and can diagnose potential brain tumor diseases properly
Perancangan Aplikasi IT Helpdesk Berbasis Website di PT. Surya Nusa Andaru Septian, Fajar; Naufal Azhar, Muhammad Fahri; Rahmadian, Jefri; Harjanti, Trinugi Wira
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.v21i1.7976

Abstract

Perkembangan teknologi informasi yang pesat telah membawa dampak signifikan terhadap operasional perusahaan, termasuk dalam pengelolaan layanan IT. PT Surya Nusa Andaru, sebagai perusahaan yang bergerak di bidang mineral logam, menghadapi tantangan dalam menangani laporan masalah IT secara efisien. Penelitian ini bertujuan untuk merancang aplikasi IT Helpdesk berbasis website yang dapat meningkatkan efektivitas dan efisiensi dalam pengelolaan laporan masalah IT. Metode yang digunakan dalam penelitian ini adalah pendekatan pengembangan sistem dengan model prototyping, yang meliputi analisis kebutuhan, perancangan sistem, pengembangan aplikasi, dan pengujian sistem. Aplikasi yang dihasilkan dilengkapi dengan fitur-fitur seperti dashboard tiket, pelacakan status tiket, dan laporan kinerja, yang memungkinkan pengguna untuk mengajukan, melacak, dan mengelola tiket permintaan bantuan IT dengan lebih mudah. Hasil dari penelitian ini menunjukkan bahwa aplikasi IT Helpdesk yang dirancang dapat meningkatkan transparansi, akuntabilitas, dan kepuasan pengguna dalam pengelolaan masalah IT. Dengan demikian, aplikasi ini diharapkan dapat menjadi solusi yang efektif bagi PT Surya Nusa Andaru dalam meningkatkan layanan IT dalam perusahaan.
Sistem Administrasi Bengkel Berbasis Web untuk Manajemen Transaksi dan Riwayat Servis: Studi Kasus: Workshop Sam Jaya Harjanti, Trinugi Wira; Setiyani, Hari; zahranda, hafizh; Savana, Galuh Iksan; Ath Thaariq, Muhammad
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 9 No. 1 (2025): Volume IX - Nomor 1 - September 2025
Publisher : Teknik Informatika, Sistem Informasi dan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/siskom-kb.v9i1.884

Abstract

Di era digital saat ini, pemanfaatan teknologi informasi menjadi kebutuhan penting dalam menunjang berbagai aktivitas, termasuk pada sektor jasa bengkel kendaraan. Masih banyak bengkel skala kecil hingga menengah yang mengandalkan pencatatan manual, sehingga menimbulkan berbagai permasalahan seperti ketidakefisienan, potensi kesalahan data, serta kesulitan dalam mengakses riwayat servis kendaraan. Untuk mengatasi hal tersebut, penelitian ini merancang dan mengembangkan sistem administrasi bengkel berbasis web yang dapat diakses oleh pihak bengkel maupun pelanggan. Sistem ini dirancang untuk memudahkan pencatatan transaksi, pengelolaan data pelanggan, serta pelacakan riwayat servis kendaraan secara terstruktur dan efisien. Diharapkan sistem ini dapat meningkatkan efektivitas operasional bengkel serta memberikan pelayanan yang lebih cepat dan akurat kepada pelanggan.
Selecting the Optimal Location for a New Facility: A PROMETHEE II Analyst Harjanti, Trinugi Wira; Widjaja, Herry Rachmat; Nofirman, N; Sudipa, I Gede Iwan; Pramono, Susatyo Adhi; Rahim, Robbi
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.738

Abstract

This paper presents a case study of location selection for a new facility using the multi-criteria decision making (MCDM) method, PROMETHEE II. The PROMETHEE II method is a widely used method for solving problems that involve multiple criteria and alternatives. The method allows for the ranking of alternatives based on their overall net flow, which is calculated by weighting and comparing the criteria values for each pair of alternatives. The case study evaluated five different locations based on criteria such as access to transportation, availability of skilled labor, and cost of living. The results of the analysis indicate that C1 was ranked as the most attractive location, with the highest scores for all criteria and the highest overall net flow among all alternatives. A sensitivity analysis was performed to ensure that the results were robust and not sensitive to small changes in the weight of the criteria. The results of this study demonstrate the utility and effectiveness of the PROMETHEE II method in practice and provide valuable insights for further research and practical action.
Co-Authors Ath Thaariq, Muhammad Fajar Septian Herry Rachmat Widjaja I Gede Iwan Sudipa Naufal Azhar, Muhammad Fahri Nofirman, N Rahmadian, Jefri Robbi Rahim Savana, Galuh Iksan Setiyani, Hari Susatyo Adhi Pramono, Susatyo Adhi zahranda, hafizh