Meliana O Meo
STIKOM Uyelindo Kupang

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Journal : HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi

EVALUASI KINERJA KLASIFIKASI DATA UNTUK LAYANAN AKADEMIK DAN PREDIKSI KELULUSAN MAHASISWA Meliana O. Meo; Donzilio Antonio Meko
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 Skolastika Siba Igon; Meliana O. Meo; Febrianty Bere
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 Maria Yunita Nesi; Yampi R Kaesmetan; Meliana O. Meo
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.