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Penerapan CPI dan ROC dalam Sistem Pendukung Keputusan Perguruan Tinggi Komputer Swasta di Semarang Sadewa, Nindya Yanuar; Rif’at, Estiawan; Fratama, Dimas Putra; Pinem, Agusta Praba Ristadi
Jurnal Tekno Kompak Vol 18, No 2 (2024): AGUSTUS
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v18i1.3918

Abstract

Abstrak Pemilihan perguruan tinggi menjadi keputusan krusial dalam perjalanan akademis, khususnya di bidang teknologi informasi di Kota Semarang. Pesatnya perkembangan teknologi mempengaruhi preferensi lulusan SMA, dan banyak perguruan tinggi komputer swasta bersaing dalam menghasilkan lulusan berkualitas. Hal ini membuat banyak calon mahasiswa yang kesulitan memilih perguruan tinggi, khususnya perguruan tinggi swasta (PTS) yang menawarkan mata kuliah di bidang teknologi informasi (komputer). Penelitian ini akan membahas tentang Sistem Pendukung Keputusan (SPK) untuk menentukan ranking perguruan tinggi yang terbaik. Untuk menentukan perankingan akan ada 5 kriteria yang dijadikan sebagai penilaian, yaitu akreditas perguruan tinggi, SPI, UKT, jumlah mahasiswa, dan jumlah dosen. Untuk data yang digunakan berasala dari situs resmi PPDikti Pangkalan Data Pendidikan Tinggi. Metode yang digunakan dalam penelitian ini adalah Composite Performance Indeks (CPI) dan Rank Order Centroid (ROC). Rank Order Centroid (ROC) digunakan untuk memberikan nilai dari setiap kriteria. Sementara Composite Performance Indeks (CPI) digunakan untuk mengehitung berbagai alternatif dan membuat perankingan alternatif. Melalui analisis kriteria-kriteria yang relevan, pembobotan menggunakan metode ROC, dan perhitungan menggunakan metode CPI, penelitian ini berhasil menghasilkan peringkat perguruan tinggi komputer swasta yang terbaik. Dari hasil penelitian, UDINUS menduduki peringkat tertinggi dengan nilai indeks 3266,88, diikuti oleh USM, dan UNISBANK. Kesimpulan ini menunjukkan bahwa UDINUS merupakan alternatif terbaik bagi calon mahasiswa yang tertarik untuk melanjutkan studi di bidang teknologi informasi di Kota Semarang. Secara keseluruhan, penelitian ini memberikan kontribusi yang signifikan dalam pengembangan metode SPK untuk pemilihan perguruan tinggi komputer. Diharapkan hasil penelitian ini dapat memberikan panduan yang berharga bagi calon mahasiswa dalam membuat keputusan pendidikan yang lebih informan dan sesuai dengan kebutuhan mereka, serta menjadi sumbangan dalam literatur penelitian terkait pengambilan keputusan di bidang pendidikan tinggi.
Implementasi Sistem Administrasi di Unit Pelaksana Teknis Pusat Pengembangan Publikasi Ilmiah Dosen Universitas Semarang berbasis Website Pradana, Muhamamd Surya Jati; Hendrawan, Aria; Christioko, B.Very; Pinem, Agusta Praba Ristadi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 3: Juni 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021864089

Abstract

Pusat Pengembangan Publikasi Ilmiah Dosen (P3ID) ialah Unit Pelaksana Teknis (UPT) yang dibentuk di Universitas Semarang guna melakukan pengelolaan arsip surat yang berkaitan dengan jurnal. Kegiatan pengelolaan dan pengarsipan surat jurnal di P3ID masih dilakukan dengan cara manual, yang memungkinkan terjadinya kesalahan dalam pencatatan surat terlebih bila surat yang diarsipkan jumlahnya banyak. Dengan alasan tersebut, maka penelitian dilakukan untuk mengimplementasikan algoritma Sequential Search dalam proses pencarian arsip surat di P3ID ini. Metode yang digunakan dalam pengembangan sistem ialah metode Rapid Application Development (RAD), metode yang menekankan pada pengembangan sistem dengan jangka waktu yang singkat. Dari hasil implementasi pada sistem Administrasi berbasis Website ini, sistem berjalan dengan baik. Proses pencarian yang dilengkapi dengan algoritma Sequential Search ini juga dapat menampilkan hasil yang dicari berdasarkan kata kunci perihal. AbstractLecturer’s Scientific Publication Development Center is a Technical Implementation Unit established at the University of Semarang to manage the archive of letters related to journals. The management and archiving activities of journal letters in P3ID are still done by manual means, which allows for errors in the recording of letters especially when the letters archived in large numbers. For this reason, research was conducted to implement the Sequential Search algorithm in the process of searching for mail archives in this P3ID. The method used in system development is the Rapid Application Development (RAD) method, a method that emphasizes system development for a short period of time. From the implementation results on this Website-based Administration system, the system is running well. The search process equipped with sequential search algorithm can also display the results searched based on the subject keyword.
Penerapan Metode EDAS dan ROC Dalam Rekomendasi Objek Wisata Pantai Terbaik Sari, Anggi Farika; Sapira, Septia Nike bela; Aulia Dewi, Elsa Adhista; Pinem, Agusta Praba Ristadi
Journal of Computer System and Informatics (JoSYC) Vol 5 No 2 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i2.4765

Abstract

Indonesia's natural diversity, cultural heritage and history have given rise to attractive tourism destinations, including Central Java Province. Central Java offers a diversity of beaches, attracting millions of tourists every year. However, many tourists have difficulty choosing a beach tourist destination that suits their wishes. Decision Support Systems (DSS) are a solution with various methods, one of which is the Evaluation Method based on Distance from Average Solution (EDAS) which is currently used together with Rank Order Centroid (ROC) weighting. This method has been proven to be effective in complex decision situations. In this context, using 13 Alternative Beaches was taken by taking into account the highest number of visitors in each Regency/City in Central Java Province and applying criteria such as cleanliness, facilities, popularity, rating and ticket prices used for evaluation. This research aims to examine the relationship and integration of the ROC and EDAS weighting methods in recommendations for the best beach tourist attractions in Central Java. It is hoped that this study will be able to provide a better interpretation and obtain a ranking ranking of alternative beach tourist attractions in Central Java, thereby contributing to tourists making more accurate decisions according to the criteria in the context of selecting beach tourist locations. The results of the research show that Jatimalang Beach is the best alternative with the highest score of 1,000. Thus, Jatimalang Beach is declared as the best choice for the best tourist attraction.
SISTEM INFORMASI GEOGRAFIS PENENTUAN RUTE EVAKUASI KAWASAN RAWAN BANJIR DI KABUPATEN KUDUS Caroline, Dyta; Pinem, Agusta Praba Ristadi
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 1 (2024): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i1.2812

Abstract

At the beginning of 2023, several regions in Indonesia, such as Kudus Regency in Central Java, experienced flooding disasters that resulted in the disruption of several inter-district road accesses and had material and immaterial impacts. Based on the disaster infographics data of Kudus Regency, it was recorded that there were 17 flood disaster incidents throughout the year 2022. Sixteen villages were affected by flood disasters spread across three sub-districts, namely Jati, Undaan, and Mejobo, with a total loss of Rp 20,000,000. In 2023, the Regional Disaster Management Agency (BPBD) of Kudus Regency stated that the flooding in Kudus was the most severe compared to the previous year. This was due to high rainfall (>3000 mm) with a relatively flat topography (0-8%). Disaster mitigation procedures have been carried out by the local government in collaboration with the surrounding community to reduce the severity of the incidents. However, the unpredictability of flood disasters due to changing weather and environmental influences each year necessitates further analysis of flood-prone areas and appropriate evacuation procedures. This research is conducted by mapping flood-prone areas using the Scoring and Overlay Data methods, as well as calculating evacuation routes using the Network Analyst method. This analysis utilizes tools available in ArcGIS Desktop software. The selection of appropriate parameters is crucial for more accurate calculations.
Mengatasi Hambatan Literasi Digital: Strategi Pemasaran Digital bagi Pelaku UMKM Desa Truko Agusta Praba Ristadi Pinem; Prind Triajeng Pungkasanti; Gita Aprinta
Jurnal Surya Masyarakat Vol 6, No 2 (2024): Mei 2024
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.6.2.2024.251-256

Abstract

The development of information technology that is not accompanied by the acceleration of digital literacy, especially in the MSME sector, can result in failure to compete in an era of high use of digital marketing. This service activity aims to increase understanding and use of digital marketing among MSMEs in Truko Village, Kendal Regency. Through training and mentoring activities using the Participatory Action Research (PAR) method, MSMEs are actively involved in the digital marketing learning process. The results of the situation analysis show that although the majority of MSMEs have basic knowledge about digital marketing, implementation is still limited. Training activities are focused on digitalizing products and promotions, using tools such as photoroom, single landing page, Linktree, and WA Business. Evaluation of the results shows a significant increase in the use of digital marketing tools, reaching an 80% increase in the use of Linktree. This article summarizes the process, results and positive impact of community service activities in improving the skills and business competitiveness of Truko Village MSMEs in the digital era.
Mengatasi Hambatan Literasi Digital: Strategi Pemasaran Digital bagi Pelaku UMKM Desa Truko Agusta Praba Ristadi Pinem; Prind Triajeng Pungkasanti; Gita Aprinta
Jurnal Surya Masyarakat Vol 6, No 2 (2024): Mei 2024
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.6.2.2024.251-256

Abstract

The development of information technology that is not accompanied by the acceleration of digital literacy, especially in the MSME sector, can result in failure to compete in an era of high use of digital marketing. This service activity aims to increase understanding and use of digital marketing among MSMEs in Truko Village, Kendal Regency. Through training and mentoring activities using the Participatory Action Research (PAR) method, MSMEs are actively involved in the digital marketing learning process. The results of the situation analysis show that although the majority of MSMEs have basic knowledge about digital marketing, implementation is still limited. Training activities are focused on digitalizing products and promotions, using tools such as photoroom, single landing page, Linktree, and WA Business. Evaluation of the results shows a significant increase in the use of digital marketing tools, reaching an 80% increase in the use of Linktree. This article summarizes the process, results and positive impact of community service activities in improving the skills and business competitiveness of Truko Village MSMEs in the digital era.
Dinamika Spasio-Temporal Korelasi Pendorong Suhu Permukaan Lahan (LST) dan Polusi Nitrogen Dioksida (NO2) di Kota Semarang (2015–2024) menggunakan Google Earth Engine (GEE) Muhammad Andreanto; Agusta Praba Ristadi Pinem; Nurtriana Hidayati
Dinamik Vol 31 No 2 (2026)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v31i2.10431

Abstract

Penelitian ini mengeksplorasi dinamika spasial-temporal faktor lingkungan yang memengaruhi suhu permukaan lahan (LST) di Kota Semarang selama 2015–2024. Tujuan utama adalah mengukur peran vegetasi (NDVI) sebagai pendorong Urban Heat Island (UHI) dan keterkaitan LST dengan polutan NO₂. Metode analisis spasial berbasis Google Earth Engine (GEE) digunakan untuk mengolah data multi-sensor dari Landsat 8/9 (untuk LST dan NDVI) serta Sentinel-5P TROPOMI (untuk NO₂). Korelasi Pearson (r) dihitung dari 1500 titik sampel acak yang diekstrak di GEE, dengan visualisasi raster dan scatter plot untuk interpretasi. Hasil menunjukkan penguatan korelasi negatif antara LST dan NDVI, dari r = -0.322 (R² = 10.4%) pada 2015 menjadi r = -0.362 (R² = 13.1%) pada 2024, yang mengindikasikan sensitivitas termal kota semakin bergantung pada tutupan vegetasi akibat urbanisasi. Sebaliknya, korelasi LST-NO₂ pada 2024 sangat lemah (r = +0.177, R² = 3.1%), membuktikan bahwa polusi didorong emisi transportasi independen dari faktor termal. Studi ini berkontribusi pada pemahaman UHI di kota pesisir tropis, dengan rekomendasi kebijakan terpisah: konservasi Ruang Terbuka Hijau (RTH) untuk mitigasi UHI dan pengendalian emisi untuk NO₂, mendukung adaptasi iklim berkelanjutan.
Analisis Korelasi Curah Hujan dan Lahan Terbangun Terhadap Luasan Genangan Banjir di Kabupaten Demak Mikael Arvito Kurnia Adi; Agusta Praba Ristadi Pinem; Nurtriana Hidayati
Jurnal Informatika: Jurnal Pengembangan IT Vol 11, No 2 (2026)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v11i2.10392

Abstract

Demak Regency is a low-lying coastal area that faces two types of pressures due to natural phenomena and massive human activities. The purpose of this study is to examine changes in built-up land and measure the level of spatial relationship between rainfall and built-up land area with flood inundation area in Demak Regency during the period 2020 to 2024. The method used in this study is spatial quantitative based on cloud computing using the Google Earth Engine platform that utilizes CHIRPS data for rainfall, Dynamic World for built-up land, and Sentinel-1 for flood inundation area. The findings of this study indicate that the annual rainfall trend has a low level of correlation with a coefficient of determination ranging from 1% to 7% while changes in built-up land show a high level of correlation with a Pearson correlation value between -0.52 to -0.58 which indicate that the reduction of non-built-up land due to land conversion is directly propotional  to the expansion of inundation which contributes to the variation of flood inundation by around 34%. The increase in flood inundation area reaching ±6,970 Ha in 2024 amid normal rainfall confirms that the decline in environmental capacity occurs due to excessive land conversion. This study concludes that managing the risk of increased flooding in Demak Regency requires strict integration of spatial planning policies, not just relying on a meteorology-based early warning system.
METODE MOORA DENGAN PERFORMA KLUB LIGA INGGRIS TERHADAP KLASEMEN AKHIR Muhammad Jauhar Fardani; Arya Anggara; Agusta Praba Ristadi Pinem
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 1 (2025): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i1.5523

Abstract

The English Premier League (EPL) is a highly popular football league with intense competition among clubs every season. To assess the performance of EPL clubs objectively, data-driven evaluation is required to measure various aspects of team performance. This study aims to evaluate the performance of EPL clubs in the 2018/2019 season using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method. MOORA was chosen because it can consider quantitative criteria such as goals scored, goals conceded, clean sheets, shots on target, total corner kicks, average ball possession, number of cards, and fouls. The data used includes statistics from 20 EPL clubs. The results show that top-ranked clubs like Manchester City, Liverpool, and Chelsea had consistent results with their final positions in the standings. However, differences were found in some clubs, such as Wolverhampton, which finished 7th in the final standings but ranked 10th according to MOORA. The analysis reveals that the MOORA ranking results, based on non-point statistical criteria, have a very high correlation with the final standings, with a Spearman correlation value of 0.9624. These findings emphasize the relevance of non-point statistical data in evaluating club performance quantitatively. This study contributes to the development of data-driven evaluation methodologies for football, providing valuable insights for club managers and sports analysts in identifying team strengths and weaknesses objectively, thereby supporting more accurate decision-making in strategic planning.
PEMILIHAN USAHA SEKTOR PERTANIAN UNGGULAN DI WILAYAH PULAU JAWA MENGGUNAKAN METODE MOORA Irfan Hanafi; Petra Erlangga Ardy Wibowo; Agusta Praba Ristadi Pinem
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 1 (2025): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i1.5540

Abstract

The agricultural sector plays a crucial role in supporting regional economies, particularly in providing food supplies, creating employment opportunities, and reducing poverty levels. However, identifying priority agricultural sectors often poses challenges due to the lack of comprehensive analysis and sufficient data. This study aims to develop a Decision Support System (DSS) utilizing the Multi-Objective Optimization by Ratio Analysis (MOORA) method to identify the leading agricultural enterprises in a specific region. MOORA was selected for its advantages in efficiently and straightforwardly managing multiple criteria. The research incorporates seven key criteria: regional suitability, types of superior commodities, productivity levels, land area, seasonal or annual patterns, labor requirements, and funding sources. The findings indicate that the best alternative is Food Crops, achieving the highest Yi value of 0.5104, followed by Horticulture and Plantations. Although there are similarities between the input data and the rankings produced, the validity of this research has been further analyzed using Spearman’s rank correlation test. The results show a correlation value of 0.300, indicating a weak relationship between the two variables compared. This weak correlation underscores the need to enhance data quality and integrate information on the number of enterprises to make the ranking system more effective and relevant in supporting the development of the agricultural sector.