Abstract:Abstract: The online exam system is used to evaluate student learning, but it has some limitations. Therefore, it is necessary to research the user satisfaction of the system. This study aims to assess user satisfaction…
using the End User Computing Satisfaction (EUCS), Importance Performance Analysis (IPA), and Customer Satisfaction Index (CSI) methods. The results showed that three dimensions, namely, accuracy, ease of use, and timeliness significantly affected user satisfaction, while content and format did not have a significant effect. IPA analysis shows the majority of attributes (12 attributes) are in quadrant II, which indicates moderate satisfaction, 11 attributes in quadrant III, one attribute in quadrant I, and three attributes in quadrant IV. CSI concluded that the online exam system provides satisfactory service with a score of 77.54%.
Keywords: csi; eucs; ipa; online exam system; user satisfaction
Abstrak: Sistem ujian online digunakan untuk mengevaluasi pembelajaran mahasiswa, tetapi sistem ini memiliki beberapa keterbatasan. Karena itulah perlu penelitian kepuasan pengguna sistem tersebut. Penelitian ini bertujuan menilai kepuasan pengguna dengan menggunakan metode End User Computing Satisfaction (EUCS), Importance Performance Analisys (IPA), dan Customer Satisfaction Index (CSI). Hasil riset menunjukkan tiga dimensi yaitu, akurasi, kemudahan penggunaan, dan ketepatan waktu signifikan mempengaruhi kepuasan pengguna, sementara konten dan format tidak berpengaruh signifikan. Analisis IPA menunjukkan mayoritas atribut (12 atribut) berada di kuadran II, yang mengindikasikan kepuasan sedang, 11 atribut di kuadran III, satu atribut di kuadran I, dan tiga atribut di kuadran IV. CSI menyimpulkan sistem ujian online memberikan layanan yang memuaskan dengan skor 77,54%.
Kata kunci: csi; eucs; ipa; kepuasan pengguna; sistem ujian online
Abstract:Abstract: The use of e-learning in non-formal education is increasingly important to support the improvement of access to learning, one of which is through the online platform. This study aims to analyze the quality of online…
nline services using WebQual 4.0 and Im-portance Performance Analysis (IPA) methods to evaluate the suitability between user expectations and perceptions. The research method used a quantitative approach by distributing questionnaires to active users, then analyzed using the WebQual Index to measure the overall quality of the system as well as the IPA to determine improvement priorities. The results showed that the quality of SeTARA Online was relatively good with a WebQual Index value of 0.798. However, there is still a gap between user expectations and satisfaction with a negative gap value of -0.238. The IPA analysis identified indicators in Quadrant I as priority improvements, especially in the aspects of service interaction and information presentation. These findings underscore the need for continuous development of features and technical support to optimize the user experience. The conclusion of this study suggests that there should be improvements in priority indicators to increase user satisfaction, as well as strengthen the effectiveness of online learning. Advanced research can expand variables, compare with other platforms, and combine quantitative and qualitative analysis methods for more comprehensive results.
Keywords: e-learning; importance performance analysis; quality of service; online equivalent; webqual 4.0
Abstract:Abstract: Central Java has significant potential in the plantation sector with various commodities such as pepper, cloves, tobacco, tea, sugarcane, coffee, nutmeg, and patchouli. However, the abundance of commodities does…
s not guarantee that all of them provide maximum benefits. This study aims to recommend the most potential plantation commodities for development. The research utilizes plantation data from Central Java over the past few years, obtained from Satu Data Indonesia, covering land area, production, productivity, and the number of farmers. The evaluation criteria include land area, production, productivity, and the number of farmers. In the decision-making process, a Decision Support System (DSS) approach is applied using the Multi-Attributive Border Approximation Area Comparison (MABAC) method and the Preference Selection Index (PSI). The MABAC method is used to determine rankings, while PSI is used for criteria weighting. The results indicate that sugarcane, tobacco, and robusta coffee are the best commodities, with final scores of 0.419, 0.237, and 0.020, respectively. Therefore, it can be concluded that the most potential commodities for development in Central Java are sugarcane, tobacco, and robusta coffee.
Keywords: central java; MABAC; plantation; PSI
Abstrak: Jawa Tengah memiliki potensi besar di sektor perkebunan dengan berbagai komoditas seperti lada, cengkeh, tembakau, teh, tebu, kopi, pala, dan nilam. Tetapi dengan banyaknya komoditas, tidak memastikan bahwa semua komoditas memberikan manfaat yang maksimal. Penilitian ini bertujuan membuat rekomendasi komoditas perkebunan yang paling potensial untuk dikembangkan. Penelitian ini menggunakan data perkebunan di Jawa Tengah dalam beberapa tahun terakhir yang diperoleh dari Satu Data Indonesia, mencakup luas lahan, produksi, produktivitas, jumlah petani. Kriteria evaluasi yang digunakan meliputi luas lahan, produksi, produktivitas, jumlah petani. Dalam proses pengambilan keputusan, digunakan metode SPK dengan pendekatan (MABAC) serta (PSI). Metode MABAC digunakan untuk menentukan peringkat, sementara PSI digunakan untuk pembobotan kriteria. Hasil yang diperoleh dari penilitian ini yaitu Tebu, Tembakau, Robusta merupakan tanaman terbaik dengan hasil akhir 0,419, 0,237, 0,020. Oleh karena itu, dapat disimpulkan tanaman yang dapat dikembangkan dengan potensial di wilayah Jawa Tengah dengan berbagai macam komoditas yaitu komoditas Tebu, Tembakau, dan Robusta.
Kata kunci: jawa tengah; MABAC; perkebunan ; PSI
Abstract:Abstract: Clustering methods such as K-Means and K-Medoids are often used to analyze data, including student data, due to their efficiency. However, this method has weaknesses, such as sensitivity to selecting cluster centers…
nters (centroids) and cluster results that depend on medoid data. Clustering, an essential technique in data analysis, aims to reveal the natural structure of the data, even in the absence of labeled information. The study, conducted with complete objectivity, compared the performance of two popular clustering methods, K-Means, and K-Medoids, on student data. Three evaluation metrics, namely the Davies-Bouldin Index (DBI), silhouette score, and elbow method, were used to compare clustering and determine the ideal number of clusters for the two algorithms. The data taken in this study are in the form of names, attendance, assignments, formative, midterm exams, final exams, and quality numbers. Based on the existing optimization results, it can be concluded that the K-Means method excels in grouping Student Data. The best results were obtained from the K-Means Algorithm with the Silhouette Coefficient Method with a value of 0.7509 in cluster 2, and the Elbow Method with a value of 1428076.08 in cluster 2, DBI K-Medoids with a value of 0.7413 in cluster 3. So, the best cluster lies in 3 clusters.
Keywords: clustering; davies-bouldin indek; elbow method; k-means; k-medoids; silhouette score;
Abstrak : Metode clustering seperti K-Means dan K-Medoids sering digunakan untuk menganalisis data, termasuk data siswa, karena efisiensinya. Namun, metode ini memiliki kelemahan, seperti sensitivitas terhadap pemilihan pusat klaster (centroids) dan hasil klaster yang bergantung pada data medoid. Clustering, sebuah teknik penting dalam analisis data, bertujuan untuk mengungkapkan struktur alami dari data, bahkan tanpa adanya informasi berlabel. Penelitian ini, yang dilakukan dengan objektivitas penuh, membandingkan kinerja dua metode clustering populer, yaitu K-Means dan K-Medoids, pada data mahasiswa. Tiga metrik evaluasi, yaitu Davies-Bouldin Index (D.B.I.), silhouette score, dan metode elbow, digunakan untuk membandingkan clustering dan menentukan jumlah cluster yang ideal untuk kedua algoritma tersebut. data yang diambil dalam penelitian ini berupa nama, kehadiran, tugas, formatif, ujian tengah semester, ujian akhir semester, angka mutu. Berdasarkan hasil optimasi yang ada, dapat disimpulkan bahwasannya metode K-Means unggul dalam pengelompokkan Data Mahasiswa. Sehingga di peroleh hasil terbaik dari Algoritma K-Means dengan Metode Silhouette Coefficient dengan nilai 0,7509 di cluster 2, dan Elbow Method dengan nilai 1428076,08 di cluster 2, DBI K-Medoids dengan nilai 0,7413 di cluster 3. Sehingga cluster terbaik terletak pada 3 cluster.
Kata kunci: klasterisasi; davies-bouldin indek; elbow method; k-means; k-medoids; silhouette score;
Abstract:Abstract: The development of Internet of Things (IoT) technology has significantly impacted life, particularly in creating more efficient and secure smart homes. Smart homes integrate various electronic devices to enhance…
e comfort and energy efficiency. However, cost, integration complexity, and security issues remain. This study will simulate an IoT-based smart home system to analyse and evaluate device performance before real-world implementation. The simulation method involves testing connectivity and evaluating delay and packet loss using the ping method on each device. Results show the highest delay on CCTV devices at 41.8 ms and the lowest on motion detector 2 at 32.8 ms, with 0% packet loss. According to TIPHON standards, the network is rated excellent with an index of 4. The designed smart home system demonstrates optimal performance and is feasible for implementation but requires further development in configuration using AI and machine learning technologies.
Keywords: internet of things; simulation; smart home; testing
Abstrak: Perkembangan teknologi Internet of Things (IoT) telah membawa perubahan signifikan dalam kehidupan, terutama dalam pengembangan rumah pintar (smart home) yang lebih efisien dan aman. Smart home mengintegrasikan berbagai perangkat elektronik untuk meningkatkan kenyamanan dan efisiensi energi. Meskipun demikian, tantangan seperti biaya, kompleksitas integrasi, dan isu keamanan masih ada. Penelitian ini bertujuan untuk mensimulasikan sistem smart home berbasis IoT guna menganalisis dan mengevaluasi kinerja perangkat sebelum implementasi nyata. Metode simulasi yang digunakan melibatkan pengujian konektivitas dan evaluasi delay serta packet loss dengan metode ping pada setiap perangkat. Hasil menunjukkan delay tertinggi pada perangkat CCTV sebesar 41.8 ms dan terendah pada motion detector 2 sebesar 32.8 ms, dengan packet loss 0%. Berdasarkan standar TIPHON, jaringan dinilai sangat baik dengan indeks 4. Sistem smart home yang dirancang menunjukkan kinerja optimal dan layak diimplementasikan, namun masih memerlukan pengembangan lebih lanjut dalam konfigurasi menggunakan teknologi AI dan machine learning.
Keywords: internet of things; pengujian; simulasi; smart home
Abstract:Abstract: One of the keys to the success of a company or agency in achieving certain goals is the workforce. However, finding the ideal partner that suits the needs of the organization or agency is difficult. Therefore,…
the selection of suitable potential partners is very important in order to be able to recruit partners who are competent in their fields and meet the company's expectations and meet all stages carried out by the organization. The Preference Selection Index method is the method used in selecting employees. The option that returns the highest Preference Index value after all criteria and alternatives have been calculated is the best option, or options selected. Based on research findings, Andreyanto Wijaya's alternative is the best alternative to be chosen as the company's partner with the highest score, which is 0.95346.
Keywords: decision support system; PSI; recruitment; partner
Abstrak: Salah satu kunci keberhasilan suatu perusahaan atau instansi dalam mencapai tujuan tertentu adalah tenaga kerjanya. Namun, menemukan Mitra ideal yang sesuai dengan kebutuhan organisasi atau instansi memang sulit. Oleh karena itu, pemilihan calon Mitra yang sesuai sangatlah penting agar dapat merekrut mitra yang berkompeten di bidangnya dan memenuhi harapan perusahaan serta memenuhi seluruh tahapan yang dilakukan oleh organisasi. Metode Preference Selection Index adalah metode yang digunakan dalam menseleksi pegawai. Pilihan yang menghasilkan nilai Indeks Preferensi tertinggi setelah semua kriteria dan alternatif dihitung adalah pilihan terbaik, atau pilihan yang terpilih. Berdasarkan temuan penelitian, alternatif Andreyanto Wijaya merupakan alternatif terbaik untuk dipilih menjadi mitra untuk perusahaan dengan skor tertinggi yaitu 0,95346.
Kata Kunci : sistem pendukung keputusan; PSI; rekrutmen; mitra
Abstract:Abstract: The PMKS Orphan Data Collection System is specifically designed to collect data on orphans in Central Lombok Regency. Although it has been around since its creation, there has been no assessment made of the quality…
lity of this system. Therefore, this study aims to analyze the quality of the PMKS Data Collection Information System for Orphans using the WebQual 4.0 method and Importance Performance Analysis (IPA). This study aims to identify factors that affect system service quality, focusing on four WebQual 4.0 variables, namely usability, information quality, service interaction, and User Satisfaction. Data was collected through distributing questionnaires and analyzed using IPA methods to assess users' views and expectations of the system. The results of the analysis showed that overall, the quality of this system was rated very good with the Webqual Index score reaching a score of 77%. However, there are certain areas that still need improvement, the PMKS Data Collection System for Orphans has a con- formity rate of 98% and an average gap value (GAP) - 0.06929. Priority is directed at quadrant I and quadrant 3. Improvement recommendations can be made by prioritizing indicators found in quadrants I and III based on the results of the IPA analysis. Thus, effective improvement efforts can be directed to improve the quality of the PMKS Data Collection System for Orphans in accord with user expectations.
Keywordss: analysis; Imprtance Performance Analysis (IPA); orphans; PMKS; WebQual 4.0
Abstrak: Sistem Pendataan PMKS Anak Yatim-Piatu dirancang khusus untuk mengumpulkan data anak yatim di Kabupaten Lombok Tengah. Meskipun telah ada sejak pembuatannya, belum ada penilaian yang dilakukan terhadap kualitas sistem ini. Karena itu, penelitian ini bertujuan untuk menganalisis kualitas Sistem Informasi Pendataan PMKS Anak Yatim-Piatu dengan menggunakan metode WebQual 4.0 dan Importance Performance Analysis (IPA). Penelitian ini memiliki tujuan untuk mengidentifikasi faktor-faktor yang memengaruhi kualitas layanan sistem, dengan fokus pada empat variabel WebQual 4.0, yaitu usability, information quality, service interaction, dan User Satisfaction. Data dikumpulkan melalui menyebarkan kuesioner dan dianalisis dengan metode IPA untuk menilai pandangan dan harapan pengguna terhadap sistem. Hasil analisis menunjukkan bahwa secara keseluruhan, kualitas sistem ini dinilai sangat baik dengan nilai Webqual Index mencapai skor 77%. Namun, terdapat area tertentu yang masih memerlukan perbaikan, Sistem Pendataan PMKS Anak Yatim-Piatu memiliki tingkat kesesuaian sebesar 98% dan nilai rata-rata kesenjangan (GAP) -0.06929. Prioritas perbaikan diarahkan pada kuadran I dan kuadran 3. Rekomendasi perbaikan dapat dilakukan dengan memprioritaskan indikator yang ditempatkan pada kuadran I dan III berdasarkan hasil analisis IPA. Dengan demikian, upaya perbaikan yang efektif dapat diarahkan untuk meningkatkan kualitas Sistem Pendataan PMKS Anak Yatim-Piatu sesuai dengan harapan pengguna.
Kata kunci : anak yatim-piatu; analisis; Importance Performance Analisis (IPA); PMKS; WebQual
Abstract:Abstract: Gross Regional Domestic Product (GRDP) is one of the most important socio-economic indicators. In order to gain a more comprehensive understanding of the current economic situation and regional differences, estimating…
imating GRDP using integration of satellite imagery and official statistics data can provide valuable information. This research estimates the GRDP value in 2022 by using data in 2019 to 2021 related to two aspects, agriculture and non-agriculture. Soil adjusted vegetation index (SAVI), enhanced vegetation index (EVI), and land cover (LC) used as agriculture aspect, while nighttime light (NTL), human settlement index (HSI), land area, and population per regency/city used as non-agriculture aspect. GRDP estimation are produced with machine learning approach using support vector machine (SVM) and random forest (RF) method. Correlation test on each variable shows only land area that does not have a significant correlation with GRDP. RF model then chosen as the best model with RMSE, MSE, MAE, and R2 value of 0.2549; 0.5049; 0.7727; and 0.2543, respectively. The estimated values acquired in several regencies/cities have rather near, some even very close to the official statistics values.
Keywords: GRDP; satellite imagery; machine learning; random forest; support vector machine
Abstrak: Produk Domestik Regional Bruto (PDRB) merupakan salah satu indikator sosio-ekonomi yang penting. Penghitungan nilai PDRB dengan pendekatan yang melibatkan kombinasi data citra satelit dan statistik resmi dapat memberikan informasi serta pemahaman yang lebih komprehensif. Penelitian ini melakukan estimasi nilai PDRB pada tahun 2022 menggunakan data tahun 2019 hingga 2021 dengan melibatkan dua aspek, agrikultur dan non-agrikultur. Data soil adjusted vegetation index (SAVI), enhanced vegetation index (EVI), dan tutupan lahan (land cover/LC) digunakan sebagai aspek agrikultur, sementara data citra cahaya malam (NTL), human settlement indeks (HSI), luas wilayah kabupaten/kota, dan jumlah populasi per kabupaten/kota digunakan sebagai aspek non-agrikultur. Estimasi PDRB dihasilkan dengan menggunakan pendekatan machine learning berupa support vector machine (SVM) dan random forest (RF). Pengecekan korelasi antarvariabel menunjukkan bahwa hanya variabel luas wilayah tidak berpengaruh signifikan terhadap nilai PDRB. Model random forest kemudian dipilih sebagai model terbaik dengan nilai evaluasi RMSE, MSE, MAE, dan berturut-turut sebesar 0.2549, 0.5049, 0.7727, dan 0.2543. Nilai estimasi yang diperoleh di beberapa kabupaten/kota cukup mendekati, bahkan ada yang sangat dekat dengan nilai statistik resmi.
Kata kunci: PDRB; citra satelit; machine learning; random forest; support vector machine
Abstract:Abstract: Halodoc is an ICT that supports access to health service facilities, with various facilities such as consultations with doctors, purchasing medicines, making appointments with hospitals, as well as several other…
r health support facilities. This research is based on calculations using the Customer Satisfaction Index (CSI) method to determine the overall level of customer satisfaction with an approach that considers the level of importance of product or service attributes as measured by an importance scale (Importance), a satisfaction/performance level scale (Performance) and the question indicators include usability, information quality, interaction quality, then the satisfaction level criteria are obtained with a CSI value of 61.29%, meaning that the patient gives the criteria as being quite satisfied with Halodoc services. Keywords: CSI, halodoc, patient
Abstrak: Halodoc merupakan TIK yang mendukung akses fasilitas pelayanan kesehatan, dengan berbagai fasilitas yang dimiliki seperti konsultasi dengan dokter, pembelian obat, buat janji dengan rumah sakit, serta beberapa fasilitas pendukung kesehatan lainnya. Penelitian ini berdasarkan perhitungan menggunakan metode Customer Satisfaction Index (CSI) untuk menentukan tingkat kepuasan pelanggan secara menyeluruh dengan pendekatan yang mempertimbangkan tingkat kepentingan dari atribut-atribut produk atau jasa yang diukur dengan skala tingkat kepentingan (Importance), skala tingkat kepuasan/kinerja (Performance) dan indikator pertanyaan meliputi usability, information quality, interaction quality maka diperoleh kriteria tingkat kepuasan dengan nilai CSI 61.29% artinya bahwa pasien memberikan kriteria cukup puas terhadap layanan Halodoc.
Kata kunci: CSI, halodoc, pasien
Abstract:Abstract: Project-Based Learning is a type of learning that is quite widely recommended today, especially in vocational type institutions where the learning is effective in the aim of involving students with direct learning…
ing content. The process of evaluating project-based learning on project teams in the performance assessment of each team to rank the order of best performance of all teams is still assessed based on subjective assessments. To overcome these problems, in this study the performance measurement of the project-based learning team by applying the VIKOR method and Rank Order Centroid in conducting assessments with test samples, namely in the Introduction to Database course. The test results obtained based on the calculation of VIKOR and Rank Order Centroid, namely PBL-TRPL01 Team 1 as the best alternative by obtaining based on variations of testing the VIKOR index value with values v=0.4, v=0.5, and v=0.6. Thus, it can be seen that the VIKOR and Rank Order Centroid methods can be applied to the calculation process of measuring team performance in project-based learning.
Keywords: decision Support System; project-based learning; rank order centroid; VIKOR
Abstrak: Pembelajaran Berbasis Proyek merupakan jenis pembelajaran yang cukup banyak direkomendasikan di masa kini khususnya pada institusi berjenis vokasional. Pembelajaran tersebut efektif dalam tujuan melibatkan para peserta didik dengan konten pembelajaran secara langsung. Proses evaluasi pembelajaran berbasis proyek pada tim proyek dalam penilaian performa dari masing-masing tim untuk memeringkatkan urutan performa terbaik dari seluruh tim masih dinilai berdasarkan penilaian secara subyektif. Untuk mengatasi persoalan tersebut, pada penelitian ini pengukuran performa tim project-based learning dengan menerapkan metode VIKOR dan Rank Order Centroid dalam melakukan penilaian dengan sampel pengujian yaitu pada mata kuliah Pengantar Basis Data. Hasil pengujian yang diperoleh berdasarkan perhitungan VIKOR dan Rank Order Centroid yaitu bahwa alternatif PBL-TRPL01 Tim 1 sebagai alternatif terbaik dengan peroleh berdasarkan variasi pengujian nilai indeks VIKOR. Maka dengan demikian, dapat diketahui bahwa metode VIKOR dan Rank Order Centroid dapat diterapkan pada proses perhitungan pengukuran performa tim pada pembelajaran berbasis proyek.
Kata kunci: pembelajaran berbasis proyek; rank order centroid; sistem pendukung keputusan; VIKOR