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All Journal Indonesian Journal of Computing and Modeling JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Ilmiah Teknik Informatika dan Komunikasi Router : Jurnal Teknik Informatika dan Terapan Modem : Jurnal Informatika dan Sains Teknologi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Router : Jurnal Teknik Informatika dan Terapan
Vinsensius Aprila Kore Dima
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Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Mathematics

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ANALISIS RUANG TERBUKA HIJAU PADA KOTA SURABAYA MENGGUNAKAN CITRA LANDSAT 8 DAN METODE MAXIMUM LIKELIHOOD Stevanus Dwi Istiavan Mau; Antonius Mbay Ndapamury; Vinsensius Aprila Kore Dima; Sri Yulianto Joko Prasetyo; Charitas Fibriani
Indonesian Journal of Computing and Modeling Vol 3 No 1 (2020)
Publisher : Pusat Studi Sistem Informasi dan Pemodelan Mitigasi Tropika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

RTH atau dikenal dengan ruang terbuka hijau merupakan suatu kelompok tanaman yang berada pada pemukiman rumah dan di tengah kota baik itu pohon serta tanaman yang ada pada rumah Surabaya sendiri mempunyai geografis yang ada pada 07.09’00”-07’21’00” Lintang selatan serta 112’36’-112’54’. Pada dasarnya luas dari surabaya memiliki daratan luas 326,81km2 serta lautan 190,39 km2. Surabaya bisa di bilang kota yang sangat padat dimana pada tahun sebelum nya hingga saat ini pembangunan terus berjalan dan meyebabkan kekurangan ruang terbuka hijau. Dalam menganalisis RTH di butuhkan suatu metode dalam melakukan analisis RTH, metode yang di pakai dalam penelitian ini menggunakan maxium likelihood yang berfungsi sebagai integrasi antara klasifikasi penutup lahan, NDVI serta Citra Landsat 8. Hasil dari penelitian ini adalah menampilkan ruang terbuka hijau dan pengelolaan ndvi dari tahun 2016 dan 2019 dimana terdapat pembangunan lahan yang menutupi ruang terbuka hijau pada Kota Surabaya. Manfaat dari penelitian ini sendiri bagaimana kita lebih mengenal fungsi dari RTH tersebut bagi masyarakat dan kota itu sendiri.
SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN KARYAWAN KONTRAK MENJADI KARYAWAN TETAP MENGGUNAKAN METODE TOPSIS Aprila Kore Dima, Vinsensius; Huki Ratu, Herman; Mbay Ndapamuri, Antonius
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 2 (2025): JATI Vol. 9 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i2.13029

Abstract

Penentuan status karyawan kontrak menjadi karyawan tetap merupakan salah satu proses penting dalam manajemen sumber daya manusia, yang membutuhkan evaluasi objektif dan transparan. Penelitian ini bertujuan untuk mengembangkan Sistem Pendukung Keputusan (SPK) menggunakan metode Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) untuk membantu Universitas Stella Maris Sumba dalam proses penilaian karyawan kontrak. Metode TOPSIS dipilih karena kemampuannya dalam menganalisis banyak kriteria secara sistematis dan memberikan peringkat berdasarkan kedekatan dengan solusi ideal. Sistem ini dirancang dengan mempertimbangkan berbagai kriteria, seperti kinerja, kehadiran, kompetensi, dedikasi, dan evaluasi dari atasan langsung, yang telah ditentukan berdasarkan kebutuhan institusi. Hasil implementasi menunjukkan bahwa sistem dapat memberikan rekomendasi yang valid dan mempermudah proses pengambilan keputusan, sehingga mengurangi tingkat subjektivitas dalam penilaian. Dengan menggunakan SPK berbasis TOPSIS, Universitas Stella Maris Sumba dapat meningkatkan efisiensi, akurasi, dan transparansi dalam menentukan karyawan kontrak yang layak menjadi karyawan tetap. Sistem ini juga dapat dikembangkan lebih lanjut untuk diterapkan dalam proses seleksi lainnya di lingkungan universitas.
Penerapan Algoritma K-Means untuk Mengidentifikasi Minat Belajar Siswa di Sekolah Dasar Negeri Puu Naga Meriana Milla; Vinsensius Aprila Kore Dima; Agustina Purnami Setiawi
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 4 (2025): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i4.630

Abstract

Elementary education is the fundamental stage in shaping students’ character, attitudes, and learning motivation. Learning interest plays a vital role in determining students’ success in understanding and mastering the lessons. However, differences in background, abilities, and learning styles often cause significant variations in students’ interest. Therefore, it is necessary to apply an analytical method that can group students based on their level of learning interest so that teachers can provide appropriate learning strategies. This study aims to implement the K-Means Clustering algorithm to identify the learning interest of students at Sekolah Dasar Negeri Puu Naga. The research method used is a quantitative approach with data collected through questionnaires consisting of several indicators of learning interest, such as perseverance in completing assignments, enthusiasm during lessons, attention to teacher explanations, and participation in class activities. The collected data were then analyzed using the K-Means algorithm to form several clusters of learning interest. The data processing stages included determining the number of clusters, selecting the initial centroid, calculating the distance of data to the centroid, grouping data, and iterating until a stable clustering result was achieved. The results of the study show that the K-Means algorithm successfully grouped students into three main categories, namely high, medium, and low learning interest. Students in the high-interest group consistently demonstrated active learning behavior and strong intrinsic motivation, while those in the medium group showed fluctuating interest influenced by external factors such as the learning environment and teaching methods. Meanwhile, students in the low-interest group displayed a lack of attention and motivation, thus requiring special interventions. These findings provide valuable insights for the school, especially teachers, in designing adaptive and personalized teaching strategies. In conclusion, the application of the K-Means algorithm is proven effective as an analytical tool to identify students’ learning interest.
Implementasi IT dalam Pembelajaran Siswa Kelas VII SMP Katolik St. Aloysius Mersiana Delu Ngara; Vinsensius Aprila Kore Dima; Sihang Gregorius Balimema
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 5 (2025): Oktober: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i5.1093

Abstract

The development of information technology (IT) has made a significant contribution to the field of education, including at the junior high school level. This study aims to examine the implementation of information technology in the learning process of seventh-grade students at SMP Katolik St. Aloysius. The research method applied was descriptive qualitative, employing observation, teacher interviews, and student questionnaires. The findings indicate that the use of IT tools such as computers, LCD projectors, and online learning applications, particularly Google Classroom and WhatsApp Groups, has enhanced student learning motivation, facilitated easier access to learning materials, and strengthened interaction between teachers and students. Moreover, technology integration enables teachers to deliver more engaging and varied learning experiences, encouraging students to participate more actively in the classroom. Nevertheless, several challenges were identified, including limited school infrastructure, varying levels of digital literacy among students, and unequal internet access. These obstacles may hinder the effectiveness of IT implementation in the learning process. Therefore, continuous mentoring strategies, infrastructure improvement, and digital literacy training for both students and teachers are necessary. In conclusion, the implementation of information technology at SMP Katolik St. Aloysius has had a significant positive impact on the learning process but requires sustainable support and improvements to achieve optimal outcomes
Penerapan Sistem Rekomendasi Produk pada Marketplace Menggunakan Metode Colaborative Filtering Petrus J. Darus; Vinsensius Aprila Kore Dima; Lidia Lali Momo
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 5 (2025): Oktober: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i5.1094

Abstract

The rapid development of digital technology has significantly transformed commercial activities, particularly through the emergence of marketplaces as platforms for online transactions. The vast number of products available in a marketplace often creates difficulties for users in finding items that suit their needs and preferences. To address this challenge, a recommendation system is required to provide personalized and relevant product suggestions. This study discusses the implementation of a product recommendation system in a marketplace using the Collaborative Filtering method. This method works by leveraging information from users’ previous behavior, such as purchase history, ratings, and similarity of preferences with other users, to generate more accurate product recommendations. The Collaborative Filtering approach has proven effective in identifying user preference patterns based on relationships between users as well as between items. This study employs user interaction data such as ratings and shopping activities as the processing foundation. The process involves data collection, preprocessing, calculation of similarity between users or products, and generating recommendation lists. The results indicate that this method enhances the shopping experience by providing relevant product suggestions tailored to user interests, thereby increasing customer satisfaction and potentially improving sales performance in the marketplace. Thus, the application of a Collaborative Filtering-based recommendation system not only simplifies product discovery for users but also offers strategic advantages for marketplace operators in digital business competition
Sistem Informasi Pemantauan Kinerja Guru Berbasis Web di SMA Katolik Santa Maria Hombakaripit Stefani Intan Marukedu; Vinsensius Aprila Kore Dima; Katarina Yunita Riti
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 3 (2025): November: Jurnal Ilmiah Teknik Informatika dan Komunikasi 
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i3.1604

Abstract

The rapid development of information technology has provided great opportunities to improve the quality of educational management, particularly in terms of teacher performance evaluation and monitoring. At SMA Katolik Santa Maria Homba Karipit, the process of monitoring teacher performance is still conducted manually through written reports and administrative assessments, which often causes obstacles such as delays in data processing, information redundancy, and a lack of transparency in presenting evaluation results. This research aims to design and implement a web-based teacher performance monitoring information system that facilitates data collection, information processing, and report presentation more quickly, accurately, and in an integrated manner. The research applies the waterfall system development model, which includes the stages of requirements analysis, system design, implementation, testing, and evaluation. The web-based system was developed using PHP programming language and MySQL database, allowing it to be accessed flexibly through the internet. The results of the study indicate that the developed system successfully improves the efficiency of teacher performance data management, accelerates report generation, and provides real-time access for the school management, including principals and evaluation teams. Furthermore, the system also supports greater transparency and accountability, as all data are well-recorded and easily traceable. Therefore, the implementation of this web-based teacher performance monitoring system is expected to be an effective solution in supporting school management quality and promoting teacher professionalism at SMA Katolik Santa Maria Homba Karipit
Pengembangan Aplikasi E-Learning Berbasis Web Menggunakan Model Waterfall di Sekolah Dasar Masehi Tanggaba Meriana Malo; Vinsensius Aprila Kore Dima; Agustina Purnami Setiawi
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 3 (2025): Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i3.640

Abstract

This research aims to develop a web-based e-learning application at Sekolah Dasar Masehi Tanggaba by applying the Waterfall software development model. The background of this study stems from the need for interactive, flexible, and easily accessible learning media in the digital era, considering that conventional face-to-face methods are still predominantly used in schools. The Waterfall model was chosen because it provides a systematic workflow through the stages of requirements analysis, system design, implementation, testing, and maintenance. Data collection was carried out through observations, teacher interviews, and documentation studies to identify the actual needs of users.The results of this study produced an e-learning application with key features, including learning material management, interactive quizzes, discussion forums, and automated assessment. Teachers can upload structured materials and assignments, while students can access learning content, complete exercises, and interact through forums more flexibly. System testing was conducted using the black box method to ensure that each function runs according to user requirements and specifications. Based on the testing results, the application was proven to function properly, be practical to use, and effective in supporting the learning process. Teachers found it helpful in managing materials and assignments, while students experienced more independent and interactive learning that was not limited to the classroom. Therefore, the developed e-learning application can be considered valid, practical, and effective as a supporting learning medium in elementary schools and has the potential to improve learning quality in the digital era.
Sistem Pendukung Keputusan Penentuan Program Keluarga Harapan di Dinas Sosial Kabupaten Sumba Barat Menggunakan Metode Naïve Bayes Selvinus Dakku; Vinsensius Aprila Kore Dima; Diana Reby Sabawaly
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 3 (2025): Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i3.641

Abstract

The Family Hope Program (PKH) is a conditional social assistance program provided by the government to improve the quality of life of underprivileged families through support in the education, health, and social welfare sectors. In its implementation, the process of determining PKH candidate recipients at the West Sumba Regency Social Service often experiences obstacles, especially with regard to objectivity, accuracy of targets, and limitations in complex data management. Thus, a decision support system (SPK) is needed that can assist the agency in selecting prospective recipients more effectively, efficiently, and on target. This study proposes the application of the Naive Bayes method in the development of SPK to determine PKH recipients. The Naive Bayes method was chosen because of its ability to classify data based on probability, and it can handle large volumes of data with a good degree of accuracy. The criteria applied in the classification include the level of household income, the number of members covered, the state of residence, the education of children, and the health of family members. The research process includes needs analysis, system design, data collection, application of Naive Bayes algorithms, and system testing. The findings of the study show that SPK based on Naive Bayes can provide recommendations for PKH recipients with better accuracy compared to manual methods. In addition, the system is able to improve transparency, fairness, and speed in the recipient selection procedure. With this system, it is hoped that the distribution of PKH in West Sumba Regency can be more orderly, balanced, and on target in accordance with the goals of government programs.
Sistem Informasi Manajemen Layanan Akademik Sekolah Berbasis Web pada SMA Negeri 2 Kodi Utara Mensiana Guna Hari; Vinsensius Aprila Kore Dima; Paulus Mikku Ate
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 3 (2025): Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i3.645

Abstract

The Web-Based Academic Service Management Information System at SMA Negeri 2 Kodi Utara was developed to improve the effectiveness and efficiency of academic data management at the school. Currently, academic data management, including grade input, class schedules, teacher information, and academic reports, is still done manually, often causing delays and potential errors in recording. This study aims to design and create a web-based information system that can assist educational institutions in managing academic services in an integrated and real-time manner. The software development method used is the Waterfall model, which includes the phases of needs analysis, system design, implementation, testing, and maintenance. The programming language used is PHP with a MySQL database system. The result of this study is an academic management information system that can facilitate various academic activities, such as managing student data, teacher data, grades, class schedules, and academic reports. This system also makes it easier for teachers to input grades and provides fast and accurate access to academic information for students and the principal. With this system, the academic administration process at SMA Negeri 2 Kodi Utara becomes more organized, efficient, and transparent.
Sistem Pendukung Keputusan untuk Verifikasi dan Validasi Data Permohonan Pertanahan pada Dinas Pertanahan Kabupaten Sumba Barat Daya Ronaldo Dappa Ate; Vinsensius Aprila Kore Dima; Paulus Mikku Ate
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 3 (2025): Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i3.646

Abstract

The verification and validation process for land application data at the Southwest Sumba Regency Land Office has been carried out manually, which often results in delays, data inconsistencies, and the potential for errors in decision-making. These problems impact the low efficiency of public services and the accuracy of managed data. Therefore, this study aims to develop a Decision Support Sistem (DSS) that can assist the verification and validation process for land application data sistematically, quickly, and objectively. This sistem is built using the Simple Additive Weighting (SAW) method, which functions to determine the level of eligibility of an application based on several criteria, namely completeness of documents, land status, legality of ownership, suitability of applicant data, and dispute history. The sistem design process is carried out through several stages, including needs analysis, design, implementation, testing, and evaluation. The results show that the implementation of a SAW-based DSS can increase the efficiency of the verification process by up to 65%, and increase the accuracy of validation results by up to 90% compared to manual methods. This sistem provides automatic decision recommendations, thus assisting officers in assessing the eligibility of land applications in a transparent and consistent manner. Thus, this sistem has the potential to be an effective solution to support the digitalization of public services in the land sector in Southwest Sumba Regency.
Co-Authors Agustina Purnami Setiawi Antonius Mbay Ndapamury Charitas Fibriani Diana Reby Sabawaly Emirensiana Dappa Ege Huki Ratu, Herman Katarina Yunita Riti Lidia Lali Momo Mbay Ndapamuri, Antonius Mensiana Guna Hari Meriana Malo Meriana Milla Mersiana Delu Ngara Paulus Mikku Ate Petrus J. Darus Petrus Jois Ghunu Rofinus Bali Mema Ronaldo Dappa Ate Selvinus Dakku Sihang Gregorius Balimema Sri Yulianto Joko Prasetyo Stefani Intan Marukedu Stevanus Dwi Istiavan Mau