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All Journal Jurnal Masyarakat Informatika Jurnal Simetris Rekursif: Jurnal Informatika Jurnal Pseudocode Jurnal SOLMA Jurnal Eksplora Informatika Indonesian Journal of Computer Science and Engineering
Desi Andreswari
University of Bengkulu
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Other

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Journal : Jurnal Pseudocode

 1 
PENERAPAN METODE SMART (SIMPLE MULTI ATRIBUTTE RATING TECHNIQUE) DALAM PENDUKUNG KEPUTUSAN WARISAN BUDAYA TAKBENDA PROVINSI BENGKULU BERBASIS WEBSITE Andreswari, Desi; Farady Coastera, Funny; Sarwono, Sarwit; Balqis, Nabilatul
Jurnal Pseudocode Vol 11 No 2 (2024): Volume 11 Nomor 2 September 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.11.2.39-44

Abstract

This research aims to develop a Decision Support System (DSS) that can provide recommendations for the intangible cultural heritage of Bengkulu Province in accordance with the proposed determination of intangible cultural heritage. This system was designed using UML and implemented in the PHP programming language. This system will determine the recommended intangible cultural heritage using the SMART (Simple Multi Attribute Rating Technique) method. After that, a ranking of intangible cultural heritage recommendations was carried out according to the criteria for the determination form, photos/images, videos, studies, management and substance of intangible cultural heritage using the SMART method. The output of this system is a ranking of recommendations for intangible cultural heritage according to existing alternatives. System testing uses black box testing with 12 pages and 38 scenarios that are tested and produce a success score of 100%. Keywords: Intangible Cultural Heritage, Decision Support System, SMART Method
Implementasi Metode Multi Attribute Utility Theory (MAUT) Dalam Rekomendasi Jurusan Di Perguruan Tinggi Berbasis Tes Minat RMIB Dan Nilai Rapor (Studi Kasus: Pada Mata Pelajaran Bimbingan Konseling Kelas XI SMAN 3 Kota Bengkulu): Studi Kasus: Pada Mata Pelajaran Bimbingan Konseling Kelas XI SMAN 3 Kota Bengkulu Azaharah, Diyah Ishita; Coastera, Funny Farady; Andreswari, Desi
Jurnal Pseudocode Vol 11 No 1 (2024): Volume 11 Nomor 1 Februari 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.11.1.21-30

Abstract

This research highlights students' desire to continue their education at university, but they still experience difficulties in choosing what major to take when they go to college. This problem arises because of students' lack of self-understanding regarding interests and potential. The proposed solution is to use a decision support system by combining interest aspects based on the Rothwell Miller Interest Blank (RMIB) test and students' academic abilities based on report card grades. The method applied in this decision support system is Multi Attribute Utility Theory (MAUT) with the system output in the form of recommendation results displayed in ranking form. From the results of functional testing using black box testing, it shows that the system works well with a success value of 100%, while the accuracy measurement reaches a percentage of 73.425% which is in the sufficient category.
Diagnosis Gangguan Autisme Pada Anak Menggunakan Metode Certainty factor dan Lokasi Terapi Autisme di Kota Bengkulu Rima Yanti Nasution, Nofa; Andreswari, Desi; Coastera, Funny Farady
Jurnal Pseudocode Vol 11 No 2 (2024): Volume 11 Nomor 2 September 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.11.2.59-68

Abstract

Autism is a developmental disorder that affects children with symptoms of disturbances and delays in cognition, language, behavior, communication and social interactions. Bad stigma and lack of information related to autism and the location of autism therapy are also obstacles in society. To help overcome these obstacles, an expert system was created which aims to diagnose autism disorders in children and provide information about the location of autism therapy in Bengkulu City. The system developed uses the certainty factor method, with functionality testing success of 100% and certainty factor accuracy testing using 25 test case data of 100%. Keywords: Autism, Certainty Factor, Diagnosis, Location of Therapy
Penerapan Metode Dempster Shafer Pada Sistem Pakar Identifikasi Hama Tanaman Buah Naga Merah Safitri, Hanifah Nur; Andreswari, Desi; Ginting, Sempurna Br
Jurnal Pseudocode Vol 12 No 2 (2025): Volume 12 Nomor 2 September 2025
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.12.2.60-70

Abstract

Red dragon fruit is a type of fruit that has bioactive components such as flavonoids, phenolics, betacyanins and anthocyanins. Red dragon fruit has a distinctive combination of flavors, namely sweet, sour and refreshingly savory. Apart from that, red dragon fruit also has several health benefits so this fruit is liked by many people. However, a lack of knowledge in maintaining red dragon fruit from pest attacks can cause the growth of red dragon fruit to be less than optimal and result in crop failure. Therefore, an expert system for identifying red dragon fruit pests is needed to minimize the risk of crop failure. The use of an expert system in identifying red dragon fruit pests by applying the Dempster Shafer method can determine the appropriate treatment thereby reducing the percentage of crop failure. The Dempster Shafer method is used to determine the level of certainty of a symptom and provide an accurate level of confidence. The results of this expert system test show that the identification results are close to the truth from an expert using 9 types of pests and 24 symptoms. The resulting accuracy level has a percentage of 100%. Keywords: Red Dragon Fruit, Expert System, Dempster Shafer Method
Implementasi Metode Topsis Pada Sistem Pendukung Keputusan Penentuan Prioritas Penerima Bantuan Mesin Untuk Sentra Ikm Berbasis Website (Studi Kasus : Dinas Perindustrian Dan Perdagangan Provinsi Bengkulu) Monica, Exca Wella; Sari, Julia Purnama; Andreswari, Desi
Jurnal Pseudocode Vol 13 No 1 (2026): Volume 13 Nomor 1 Februari 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.13.1.84-90

Abstract

The industrial sector is one of the economic sectors being developed in Indonesia as a driving force for the progress of other economic sectors. One form of this is the Small and Medium Industries (SMEs), which are quite dependent on government assistance, both in terms of capital and equipment. One of the government programs to advance SMEs is the provision of machinery assistance to SME centers. In practice, the selection process for machine assistance recipients at the Bengkulu Industry and Trade Office still uses Microsoft Excel, which has limitations, including the risk of human error, logical errors in formulas, differences in results due to rounding numbers, and a lack of objectivity in assessments. Therefore, a Decision Support System (DSS) is needed to minimize errors, producing more objective, transparent, and accurate decisions. This study uses the TOPSIS method to calculate the preference value of SMEs and data aggregation techniques (averages) to calculate the final value of SME centers. The resulting output is a ranking of SME centers eligible for machine assistance. Of the total of 26 comparisons between the rankings from the system and the rankings from the Industry and Trade Office, 20 rankings were obtained that were the same, so that the system accuracy reached 76.92%. Furthermore, the system's feasibility test achieved an interval score of 4.6, or 92%, which is considered very good. The final result of this research is the creation of a website-based decision support system for prioritizing recipients of machine assistance for small and medium enterprises SME centers.
Co-Authors Aan Erlansari Alfareza, Muhammad Yusril Arif Budiman, Neferly Azaharah, Diyah Ishita Balqis, Nabilatul Coastera, Funny Faraday Dwi Jayanto, Paksi Dwi Safitri, Dania Egisthi, Vonny Afriyona Endina Putri Purwandari Epana Sari, Renti Ernawati Ernawati Ernawati Funny Farady Coastera Funny Farady Coastera, Funny Farady Ginting , Sempurna br. Ginting, Sempurna br Hasian Lumbanraja, Joi Pebrianty Julia Purnama Sari Julia Purnama Sari Juwita, Fatma Manurung, Wahyu Ozorah Mochammad Yusa, Mochammad Monica, Exca Wella Oktoeberza, Widhia KZ Rahmadani, Iffan Alfitziki Rima Yanti Nasution, Nofa Rusdi Efendi Safitri, Hanifah Nur Sarwono, Sarwit Siregar, Michael Exaudi Syafitri, Arinda Tatik Suteky Tiara Sella, Miranda Wahyudi, Rahmat Fikri Wijanarko, Andang Winda P, Desi Ade Yudi Setiawan