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All Journal Informatik : Jurnal Ilmu Komputer
Paulus Mikku Ate
University of Stella Maris Sumba
Computer Science & IT

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Application of Rapid Application Development Method in WEB-Based Social Assistance Data Collection System in Lombu Village Erniati Lende; Friden Elefri Neno; Paulus Mikku Ate
Informatik : Jurnal Ilmu Komputer Vol 21 No 3 (2025): December 2025
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v21i3.12260

Abstract

The process of collecting social assistance data in Lombu Village has been done manually, which has led to various problems such as duplicate data, delays in reporting, and inaccuracy in targeting recipients. To overcome these problems, this study aims to develop a web-based social assistance data collection information system that can improve efficiency, accuracy, and transparency in data management. The system development method used is Rapid Application Development (RAD), which emphasizes speed in development and direct user involvement in the system design and evaluation process. The research stages include needs identification, system design with users, prototype development, system testing, and feedback-based evaluation. Data was collected through interviews, observations, and documentation of the ongoing data collection process. The result of this research is a web-based system that is capable of storing, updating, and displaying beneficiary data in a structured manner and can be accessed by village officials with a simple and easy-to-use interface. System trials show that the system can facilitate data management and accelerate the social assistance reporting process at the village level.
Audit of the SIKS-NG Application System for Poverty Data at the Social Services Office of Southwest Sumba Regency Emeliana Kaka; Friden Elefri Neno; Paulus Mikku Ate
Informatik : Jurnal Ilmu Komputer Vol 22 No 1 (2026): April 2026
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v22i1.12615

Abstract

The Next Generation Social Welfare Information System (SIKS-NG) is a national application developed by the Ministry of Social Affairs to manage integrated social welfare data (DTKS). This application is the main tool for local governments in collecting, verifying, and updating information on social assistance recipients. However, the effectiveness and reliability of its implementation in the regions is often not optimal, as evidenced by data inconsistencies, slow input processes, and limited user understanding. This study aims to audit the SIKS-NG system at the Social Service Office of Southwest Sumba Regency to assess the maturity level of the system and its compliance with good information technology governance principles. The research method used a qualitative descriptive approach with the COBIT 5 framework as the basis for the audit. Data was collected through observation, interviews, documentation, and questionnaires administered to system users and poverty data managers. The analysis was conducted on the domains in COBIT 5, namely Deliver, Service, and Support (DSS). The audit results showed that the maturity level of the SIKS-NG system was at a defined level (level 3), which means that the process was running according to procedure but was not yet fully documented and consistently monitored. Several aspects, such as data integration, user training, and information security, still need improvement. This research recommends strengthening IT governance policies, improving the quality of operator human resources, and optimizing real-time data-based monitoring and evaluation systems.
Data Mining for Analyzing Causes of Student Registration Delays at UNMARIS Using Decision Tree Agustinus Japa Ngara; Friden Elefri Neno; Paulus Mikku Ate
Informatik : Jurnal Ilmu Komputer Vol 22 No 2 (2026): August 2026
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v22i2.12725

Abstract

This study aims to analyze the factors that influence student registration delays at Stella Maris University Sumba (UNMARIS) by utilizing data mining methods using the C4.5 Decision Tree algorithm. The problem of registration delays often occurs and has an impact on the academic administration process and the orderliness of the lecture schedule. The C4.5 algorithm was chosen because it has the ability to process categorical and numerical data and produces decision rules that are easy to interpret. The data used is student data that includes attributes such as GPA, payment status, distance from residence, occupation, semester, and type of registration. The analysis process begins with the data pre-processing stage, calculation of entropy and information gain values, decision tree formation, and evaluation of results. The results of the study show that the payment status and GPA attributes have the highest information gain values, making them the dominant factors that influence the timeliness of student registration. The resulting decision tree model provides a good level of accuracy and is able to classify students into fast, medium, or slow registration categories. This study is expected to assist academics in formulating more effective policies.
Co-Authors Agustinus Japa Ngara Emeliana Kaka Erniati Lende Friden Elefri Neno