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All Journal Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Teknologi Terpadu Journal of Information System, Applied, Management, Accounting and Research Just TI (Jurnal Sains Terapan Teknologi Informasi) HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Jurnal Penelitian Teknologi Informasi dan Sains Jurnal Publikasi Manajemen Informatika
Meliana O Meo
STIKOM Uyelindo Kupang
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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EVALUASI KINERJA KLASIFIKASI DATA UNTUK LAYANAN AKADEMIK DAN PREDIKSI KELULUSAN MAHASISWA Meo, Meliana O.; Meko, Donzilio Antonio
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 2 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no2.p87-91

Abstract

STIKOM Uyelindo Kupang was established in the year 2000 as an information technology-based tertiary institution which has three study programs, namely under graduate of informatics engineering, diploma three informatics engineering and under graduate of information systems. The three study programs always strive to improve the status of accreditation by continuously improving internal quality and making accreditation a strategy to compete with other universities. To maintain quality, STIKOM Uyelindo Kupang, especially the undergraduate informatics engineering study program routinely monitors and evaluates the performance of lecturers. The problem that is often faced in routine monitoring and evaluation of lecturer performance is the performance evaluation process that is still objective so that to overcome these problems, a decision support system is needed that can assist in evaluating the performance of lecturers at STIKOM Uyelindo Kupang. The purpose of this study is to make a decision support system for the assessment of performance of lecturers of the first-degree informatics engineering study program at STIKOM Uyelindo Kupang using TOPSIS method. The results of this study are in the form of a desktop-based application that can facilitate the monitoring and performance evaluation teams of lecturers in evaluating the performance of lecturers of study programs.
PERANCANGAN SISTEM INFORMASI PENYELEKSIAN PENERIMA BANTUAN PERUMAHAN PADA KECAMATAN LASIOLAT KABUPATEN BELU Igon, Skolastika Siba; Meo, Meliana O.; Bere, Febrianty
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 11 No. 1 (2020): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol11no1.p33-38

Abstract

Based on the latest data from the Department of Population and Civil Registration in Belu Regency, the area of ??Belu Regency is 1,285 Km2, with a population of 229,561 people. From this data, Lasiolat District is one of the Districts in Belu District where there are still 299 uninhabitable houses and 1,360 housing units out of 1,659 families, with a total population of 7,171 people, an area of ??13,200 Km2. Therefore, the local government through the Department of Housing and Settlements provides housing assistance to deal with problems arising from the inability of low income people. However, Lasiolat District officials still have difficulty in selecting people who are entitled to get help. Because in the selection process it is still difficult to record the large number of people manually, it takes a long time because the local government through the Housing and Settlement Office only provides as many as 100 housing units. The limited housing assistance provided, the selection process for beneficiaries who are eligible for assistance, the Department checks the data of beneficiaries through the District officials to determine citizenship, income, land ownership, type of house, building and marital status. Errors in selecting beneficiaries can result in assistance being given to recipients who do not deserve assistance. Therefore we need a system that can be used to make selections with the main objective of overcoming the problems encountered in the selection process that is currently underway. In this research, an information system for selecting housing beneficiaries will be built using the Fuzzy AHP method. The system is built based on the website. The final result expected from this research is to be able to assist the Sub-district officials in selecting housing recipients correctly and appropriately.
SISTEM PAKAR DIAGNOSA PENYAKIT IKAN GURAME DENGAN MENGGUNAKAN FIS MAMDANI Nesi, Maria Yunita; Kaesmetan, Yampi R; Meo, Meliana O.
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 11 No. 2 (2020): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol11no2.p73-80

Abstract

The carp (Osphronemus Goramy) including fish that was seeded in cultivation. In addition to the price of carp that are relatively more expensive than other fish and it has been easy to carp also has a higher value compared to other freshwater fish. But in the cultivation of carp diseases is one of the serious problems encountered by the fish farmers because it could potentially cause harm. Diseases that attack the carp both are still in the larval or adult forms of which are caused by parasitic infections in the form of fungi, protozoa, worms as well as bacterial infection of Aeromonas hydrophylla, Flexybacter colomnaris, and Mycobacterium sp. The multiplicity of types of disease that can attack the carp and the difficult process of detection because of the similarity of the symptoms caused fish farmers making it difficult to determine the methods of prevention and control of the right to address the disease. Detection of disease of carp is seen on the surface of the body of the fish. Therefore, it takes expert system to detect disease carp by involving technology. One of the methods used in the expert system of fuzzy inference system Mamdani. Fuzzy inference system Mamdani reasoning used in this study because of the handling of the value and accuisition of knowledge representation experts can directly representation in the form of rules, which can be understood when placed on the machine inference. The result of this reasoning is to detect diseases of the carp while delivering the right solution to tackle the disease of carp.
Digital Image Processing to Detect Sumba Woven Fabric Contour Using Gray Level Co-occurrence Matrix and Self Organizing Map Mone, Bintang Vieshe; Kaesmetan, Yampi R; Meo, Meliana O.
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 1 (2024): March 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i1.28355

Abstract

Sumba woven cloth is one of the cultural heritages of the island of Sumba. Based on its manufacture, the classification process for Sumba woven fabrics is based on the identification of colors or motifs. However, the classification process is not an easy process. In addition to the classification process, the wider community also does not get much information about Sumba woven fabrics clearly, therefore digital image processing technology is needed to build a system that can overcome the problems faced. The image of the Sumba woven fabric sample is converted to grayscale and resized, then segmented using Sobel detection. Then extracted using Gray level co-occurrence matrix (GLCM). After extraction, it will be classified using a Self Organizing Map (SOM). Based on the results of this study, it was concluded that the accuracy of the validation test was 80%, and the program was successful.
Penerapan Steganografi Berbasis Citra Wajah menggunakan Metode Least Significant Bit untuk Penyisipan Pesan Rahasia Maria Imaculata Inriani; Yohanes Suban Belutowe; Meliana O. Meo
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.4169

Abstract

The rapid advancement of information and communication technology has increased the need for data security and confidentiality in digital information exchange. Various threats, such as eavesdropping, data theft, and information manipulation, require effective security methods capable of protecting message content without attracting unauthorized attention. One of the techniques used to address this issue is steganography, which conceals secret information within digital media so that the existence of the message remains undetectable. This study aims to implement the Least Significant Bit (LSB) method on digital facial images as a medium for embedding secret messages and to evaluate the quality of the resulting stego images. The system was developed using the Python programming language with a Tkinter-based graphical user interface to facilitate the processes of message embedding and extraction. Prior to embedding, the secret message was secured using an XOR encryption operation with a specific key. The embedding process was performed by modifying the least significant bits of image pixels, resulting in minimal visual distortion. Experimental results indicate that the LSB method successfully conceals secret messages while maintaining the visual quality of the cover image. The evaluation produced low Mean Squared Error (MSE) values and Peak Signal-to-Noise Ratio (PSNR) values exceeding 85 dB, indicating a very high similarity between the original and stego images. Furthermore, the hidden message could be accurately extracted using the correct key, provided that the image had not undergone compression or manipulation. Therefore, the LSB-based steganography approach on digital facial images is proven to be an effective method for enhancing information security and confidentiality.
IMPLEMENTASI UTA DAN MAUT PADA SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BANTUAN SOSIAL DI DESA WONGA WEA Veronika Agustina Meo; Meliana O. Meo
Jurnal Publikasi Manajemen Informatika Vol. 5 No. 1 (2026): JURNAL PUBLIKASI MANAJEMEN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupumi.v5i1.4665

Abstract

The provision of social assistance in Wonga Wea Village still experiences several problems, including the provision of assistance often experiencing inaccuracy in selecting residents who receive social assistance, because currently many wealthy residents receive social assistance which assistance should be given to the less fortunate. To overcome this problem, a decision support system for receiving social assistance was created using the application of the UTA (Utility Theory Additive) and MAUT (Multi Attribute Utility Theory) methods. UTA is used to assess the utility of each prospective recipient based on predetermined criteria while MAUT helps in integrating various criteria with appropriate weights so that the decision-making process becomes more systematic and structured. Therefore, the process of receiving social assistance using the application of the UTA (Utility Theory Additive) and MAUT (Multi Attribute Utility Theory) methods can help village officials in Wonga Wea Village in the process of data collection and decision-making to determine eligible recipients of social assistance so that there are no errors in the process of receiving social assistance. This study tests the hypothesis that the application of the UTA (Utility Theory Additive) and MAUT (Multi Attribute Utility Theory) methods can improve the accuracy of the selection of social assistance recipients, so that assistance is more targeted to people who really need it. The results of the study indicate that the system created is able to improve the accuracy of the selection of assistance recipients compared to conventional methods.
Co-Authors Bere, Febrianty Bintang Vieshe Mone Darut, Benedikta Loe Donzilio Antonio Meko Kaesmetan, Yampi R Maria Imaculata Inriani Meko, Donzilio Antonio Nesi, Maria Yunita Skolastika Siba Igon Veronika Agustina Meo Yohanes Suban Belutowe