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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Cognitionis Civitatis et Politicae
Yulindawati Yulindawati
STMIK Widya Cipta Dharma Samarinda
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Neuroscience Social Sciences Transportation

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Penerapan Metode Importance Performance Analysis dalam Mengukur Kepuasan Kreditur pada PT Mega Central Finance Dhani Rahmat Ramadhan Putra K; Vilianty Rafida; Yulindawati Yulindawati
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 3 (2025): Juni 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i3.9150

Abstract

Abstrak - Penelitian ini bertujuan untuk mengukur kepuasan kreditur pada PT Mega Central Finance untuk menerima masukan kritik dan saran dari para kreditur agar perusahaan dapat berbenah lebih baik lagi dari segi pelayanan dan fasilitas. Dalam mengatasi masalah tersebut, maka diperlukan metode Importance Performance Analysis yang dapat membantu untuk mengukur kepuasan kreditur pada pelayanan dan fasilitas pada PT Mega Central Finance berdasarkan variabel-variabel kuesioner. Data yang digunakan yaitu hasil kuesioner yang sudah dibagikan pada kreditur PT Mega Central Finance. Hasil penelitian berupa perancangan kuesioner data kepuasan kreditur yang sudah dihitung menggunakan metode Importance Performance Analysis, dengan perancangan diagram Cartesian.Kata kunci: Kepuasan kreditur; Importance Performance Analysis; Kualitas pelayanan; Sampel; Kuesioner.Abstract - This study aims to measure creditor satisfaction of PT Mega Central Finance to recieve critism and suggestion from crediture so company can improve better in terms of service and facilities. In overcoming this problem, the Importance Performance Analysis method is needed which can help to measure creditor satisfaction with the service and facilities at PT Mega Central Finance based on questionnaire variables. The data used are the results of the questionnaire that has been distributed to creditors of PT Mega Central Finance. The results of the study are in the form of a creditor satisfaction data questionnaire design that has been calculated using the Importance Performance Analysis method, with a Cartesian diagram design.Keywords: Creditor satisfaction; Importance Performance Analysis; Service Quality; Questionnaire.
Penerapan Additive Ratio Assesment (ARAS) dalam Pemilihan Pengurus Gerakan Pemuda GPIB Immanuel Samarinda Albert Giofani Raule; Bartolomius Harpad; Yulindawati Yulindawati
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 3 (2025): Juni 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i3.9149

Abstract

Abstrak – Pemilihan Pengurus merupakan bagian penting dalam menjaga keberlangsungan organisasi kepemudaan, terutama di lingkungan gereja yang menekankan nilai tanggung jawab dan integritas. Di Gerakan Pemuda GPIB Immanuel samarinda, proses pemilihan masih bersifat subjektif, yang berpotensi memberikan hasil yang kurang optimal. Pemilihan ini menerapkan metode Additive Ratio Assesment (ARAS) degan pendekatan yang terstruktur serta objektif untuk membantu proses penentuan calon pengurus. Setiap calon dinilai berdasarkan sejumlah kriteria. Hasil penelitian menunjukan bahwa penerapan metode ARAS membantu menghasilkan peringkat kandidat yang lebih jelas dan seimbang, serta memberikan dasar yang lebih adil dalam pengambilan keputusan akhir. Dengan demikian, metode ini berpotensi menjadi alat bantu yang berguna dalam proses pemilihan pengurus Gerakan Pemuda GPIB Immanuel Samarinda.Kata kunci: metode ARAS; pengambilan keputusan; pemilihan pengurus; GPIB Immanuel Samarinda. Abstract – The selection of leaders is an important aspect of ensuring the sustainability of youth organizations , especially in church settings where values such as responsiblity and integrity are emphased. At the Youth Movement of GPIB Immanuel Samarinda, the selection process remains subjective, which may lead to less optimal decisions. This selection applies the Addtive Ratio Assesment (ARAS) method as a more structured and objective approach to support the decision-making process. Each candidate is evaluated based on several criteria. The result show that the application of the                ARAS method helps produce a clearer and more balanced ranking of candidates , providing a fairer basis for the final decision. Therefore, this method has the potential to be a useful tool in the selection process of the Youth Movement leaders at GPIB Immanuel Samarinda.Keywords: ARAS method; decision-making; leadership selection; GPIB Immanuel Samarinda.
Pengembangan Sistem IoT Berbasis Arduino untuk Pemantauan pH Air pada Peternakan Ayam Pedaging dengan Metode Agile Mahesa Dewa Saputra; Yulindawati Yulindawati; Jundro Daud Hasiholan
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 3 (2025): Juni 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i3.9069

Abstract

Abstrak - Penelitian ini bertujuan untuk menerapkan metode Agile dalam pengembangan teknologi Internet of Things (IoT) yang difokuskan pada sistem pengukuran kadar pH air di peternakan ayam pedaging. Kebutuhan akan pemantauan kualitas air yang akurat dan real-time menjadi latar belakang dirancangnya sistem berbasis mikrokontroler Arduino, yang terintegrasi dengan sensor pH dan modul komunikasi data. Metode Agile dipilih karena kemampuannya dalam mengakomodasi perubahan kebutuhan selama proses pengembangan melalui pendekatan iteratif dan berkelanjutan. Hasil implementasi menunjukkan bahwa sistem mampu meningkatkan akurasi pengukuran dan mempermudah pemantauan data secara real-time. Penelitian ini berkontribusi pada penerapan teknologi digital dalam sektor peternakan serta menunjukkan potensi adaptasi metode Agile dalam proyek pengembangan sistem berbasis IoT.Kata kunci: Metode Agile; Internet of Things (IoT); pengukuran pH; Arduino  Abstract - This research aims to apply the Agile method in the development of Internet of Things (IoT) technology focused on a system for measuring the pH level of water in broiler chicken farms. The need for accurate and real-time water quality monitoring serves as the background for designing a system based on the Arduino microcontroller, which is integrated with a pH sensor and data communication module. The Agile method was chosen for its ability to accommodate changing requirements during the development process through an iterative and continuous approach. The implementation results show that the system can improve measurement accuracy and facilitate real-time data monitoring. This research contributes to the application of digital technology in the farming sector and demonstrates the potential adaptation of the Agile method in IoT-based system development projects.Keywords: Agile methodology; Internet of Things (IoT); pH measurement; Arduino
Application of Artificial Intelligence to the Politics of Criminal Law Pajar Pahrudin; Yulindawati Yulindawati; Teresa Dominika Palayukan
Cognitionis Civitatis et Politicae Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/politicae.v1i3.1246

Abstract

Abstract This study aims to analyze the implications of artificial intelligence (AI) on criminal law and its potential to transform the legal landscape. It explores the challenges and opportunities presented by AI in the context of criminal justice systems. The research adopts a qualitative approach, utilizing a comprehensive literature review to examine the existing legal frameworks and policies related to AI in criminal law. It also analyzes case studies and examples of AI applications in criminal justice to provide a holistic understanding of the subject matter. The findings reveal that AI has the potential to significantly impact various aspects of criminal law, including crime prevention, investigation, evidence analysis, sentencing, and rehabilitation. AI technologies can enhance efficiency, accuracy, and objectivity in decision-making processes. However, they also raise concerns regarding privacy, bias, accountability, and the potential for misuse. The study highlights the need for a robust legal framework that addresses these challenges while harnessing the benefits of AI in criminal law. This study contributes to the growing body of literature on the intersection of AI and criminal law. By examining the implications and potential of AI in the context of criminal justice systems, it provides insights for policymakers, legal professionals, and scholars. The research emphasizes the importance of proactive regulation and ethical considerations to ensure the responsible and fair implementation of AI technologies in criminal law. Keywords: Artificial Intelligence, Politics, Criminal Law
Co-Authors Albert Giofani Raule Bartolomius Harpad Dhani Rahmat Ramadhan Putra K Jundro Daud Hasiholan Mahesa Dewa Saputra Pajar Pahrudin Teresa Dominika Palayukan Vilianty Rafida