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Model dan Analisa Faktor Eksternal Aktifitas Siswa Kelas X TKJ SMKN 1 Pakong Pamekasan Menggunakan Algoritma Decision Tree Muhsi Muhsi
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 2 No 2 (2021): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Oktober 2021
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v2i2.1239

Abstract

Kegiatan pembelajaran yang interaktif antara siswa guru akan efektif apabila terdapat aktifitas yang baik dari siswa. Terdapat faktor eksternal yang mempengaruhinya sehingga perlu dimodelkan dan dianalisis apa saja faktor eksternal tersebut kemudian bagaimana hal tersebut bisa terjadi. Penelitian ini bermaksud memodelkan dan menganalisa faktor eksternal aktifitas siswa kelas X TKJ SMKN 1 Pakong menggunakan algorirma decision tree dalam hal ini adalah algoritma C4.5. karena di beberapa penelitian menunjukkan tingkat akurasi yang bagus dan mudah untuk diinterpretasikan. Model decision tree yang dihasilkan adalah faktor eksternal tidak berkumpulnya siswa dengan orang tua di rumah menjadi faktor utama rendahnya aktifitas siswa kelas X TKJ SMKN 1 Pakong. Sendangkan bagi siswa yang berkumpul dengan orang tua di rumah bisa rendah juga aktifitasnya karena asal sekolah sekolah4 dan mode transportasinya menggunakan motor sendiri namun bisa tinggi sekali apabila berboncengan dengan temannya. Dengan demikian, secara umum, siswa yang berkumpul dengan orang tuanya di rumah memiliki tingkat aktifitas tinggi bahkan sangat tinggi. Berdasarkan hal tersebut, siswa kelas X TKJ SMKN 1 Pakong memiliki tingkat aktifitas rendah sebanyak 31%, aktifitas tinggi sebanyak 45% dan aktifitas sangat tinggi sebanyak 24%.
ASSISTANCE FOR VILLAGE OFFICIALS IN THE IMPLEMENTATION OF GIS-BASED DIGITAL ASSET DIGITIZATION IN DURBUK VILLAGE, PADEMAWU DISTRICT, PAMEKASAN REGENCY Aang Kisnu Darmawan; Busro Akramul Umam; Ibnu Ali; Mohammad Bhanu Setyawan; Muhsi Muhsi; Anwari Anwari
International Journal of Engagement and Empowerment Vol. 2 No. 3 (2022): International Journal of Engagement and Empowerment
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ije2.v2i3.76

Abstract

Digital Village or Smart Village is applying ICT based on Big Data and Smart Systems to make village resource management more efficient. However, the implementation of Digital Village in Durbuk Village, Pademawu District, Pamekasan Regency, East Java, experienced two main problems, namely (1) the weakness of the village asset management system and (2) the weakness of village apparatus human resources in managing village assets. This community service activity has two main objectives: (1) to build a digital village asset information system based on the Geographical Information System (GIS) and to strengthen technical village officials in digital-based village asset management. Seven steps of the community service method take, namely, (1)Identification of problems, (2)Community Service Planning, (3)Coordination with Partners, (4)Digital Asset Map Creation and SIAD Application, (5)Socialization, Forum Group Discussion and SIAD Workshop, (6)Writing Modules and Books for Digitizing GIS-based Durbuk Village Assets, and (7)Implementation of Community Service Results in Seminar. This activity produced three research outputs, namely (1)digital village asset maps, (2)GIS-based digital Application software for the village asset information system, and (3)monograph modules/books on digitizing village assets GIS-based. This community service activity is expected to significantly contribute to village officials managing digital assets with the help of GIS spatial technology
Klasterisasi Perguruan Tinggi Swasta di Madura Berdasarkan Kinerja Sumber Daya Manusia dan Mahasiswa Menggunakan Metode K-Means Clustering Yuli Sasmita; Muhsi Muhsi; Miftahul Walid
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4431

Abstract

The number of private universities in Indonesia in 2020 is 3,044 private universities, in East Java 328 private universities and in Madura 30 private universities. The number of private universities in Indonesia causes intense competition. Colleges should strive to maintain and improve performance in order to ensure their activities. Therefore, it is necessary to do or group private universities based on the performance of human resources and students to encourage these universities to improve their performance. The grouping of private universities is carried out using the k-clustering method which groups data into several clusters based on data groups which are. The results of this study, the grouping of private universities in Madura into 3 clusters, namely: Cluster 1 there are 4 private universities, Cluster 2 there are 7 private universities, and Cluster 3 there are 19 private universities.
Analisis Jangkauan Fasilitas Kesehatan (PUSKESMAS) Berbasis Sistem Informasi Geografis (Studi Kasus : Kab.Pamekasan) R. Ifan Arbiyan. P; Anwari; Muhsi
Jurnal Minfo Polgan Vol. 12 No. 1 (2023): Artikel Penelitian Juni 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i1.12450

Abstract

Tujuan Penelitian ini adalah Membuat SIG untuk memetakan fasilitas kesehatan di Kab.Pamekasan.Melakukan analisis jangkauan fasilitas kesehatan di Kab.Pamekasan. Peneitian ini menggunakan metode buffer, metode buffer yaitu salah satu metode yang digunakan dalam analisis spasial kegunaan metode ini yaitu mengidentifikasi hubungan antara satu titik dengan area sekitarnya. kegunaan metode buffer dalam menganalisis dapat menggambarkan suatu area yang melingkupi sebuah objek spasial dalam peta dengan batas jarak tertentu. Data buffer yang berbentuk sebuah titik dapat menunjukkan jangkauan keadaan pelayanan dari sebuah fungsi di titik tersebut. Berdasarkan Hasil dari analisis dengan metode Buffer dengan pengelompokan jangkauan 200m, 500m, 1.000m pada Buffer jalan dan 1000m, 2000m, 3000m pada Buffer Puskesmas. Untuk hasil pemetaan dapat mempermudah masyarakat untuk mengetahui dimana saja lokasi puskesmas di kabupaten pamekasan.Manfaat analisisnya dapat mempermudah masyarakat pamekasan demi mengetahui jarak antara pemukiman warga dengan fasilitas kesehatan.
Sistem Informasi Geografis Pemetaan Tanah Wakaf Di Kecamatan Pamekasan Berbasis Webgis Moh Shohibur Rohman; Muhsi; Anwari
Jurnal Minfo Polgan Vol. 12 No. 1 (2023): Artikel Penelitian Juni 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i1.12451

Abstract

Tujuan pemberi wakaf adalah untuk mendekatkan diri kepada Allah SWT, dan wakaf tanah merupakan salah satu dari beberapa jenis wakaf. Pengelolaan tanah wakaf di wilayah Pamekasan saat ini kurang baik karena belum ada pemetaan digital lokasi tanah wakaf sehingga sulit dilakukan pemantauan. Hal ini menyebabkan sejumlah persoalan, antara lain tanah wakaf yang terbengkalai dan sengketa tanah dengan pihak ketiga. Dengan menggunakan sistem informasi geografis untuk memetakan lokasi tanah wakaf, masalah ini dapat dikurangi dan data dapat dikumpulkan dengan lebih mudah, memungkinkan pengelolaan tanah wakaf yang lebih efektif dan meningkatkan kesejahteraan. plikasi ini dirancang berbasis web dengan menggunakan framework QGIS, GeoJSON dan LeafletJS. Hasil dari analisis persebaran ini berupa peta digital web untuk pengetahui informasi lokasi tanah wakaf secara lebih tepat, sehingga dapat membantu untuk melakukan pencarian lokasi tanah wakaf menjadi lebih mudah.
The Node Selection Method for Split Attribute in C4.5 Algorithm Using the Coefficient of Determination Values for Multivariate Data Set Muhsi Muhsi; Suprapto Suprapto; Rofiuddin Rofiuddin
Jurnal Penelitian Pendidikan IPA Vol 9 No 7 (2023): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i7.4031

Abstract

The split attribute in the decision tree algorithm, especially C4.5, has an important influence in producing a decision tree performance that has high predictive performance. This study aims to perform an attribute split in the C4.5 algorithm using the value of the termination coefficient (R2/R Square) which is combined with the aim of increasing the performance of the model performance produced by the C4.5 algorithm itself. The data used in this research are public datasets and private datasets. This study combines the C4.5 algorithm developed by Quinlan. The results in this study indicate that the use of the R2 value in the C4.5 algorithm has good performance in terms of accuracy and recall because three of the four datasets used have a higher value than the C4.5 algorithm without R2. Whereas in the aspect of precision, it has quite good performance because only two datasets have a higher value than the performance results of the algorithm without R2.
Estimation of Sea Surface Salinity Concentration from Landsat 8 OLI Data in The Strait of Madura, Indonesia Muhsi Muhsi; Bangun Muljo Sukojo; Muhammad Taufik; Pujo Aji; Lalu Muhamad Jaelani
Forum Geografi Vol 36, No 2 (2022): December 2022
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v36i2.19941

Abstract

Remote sensing technique to estimate the sea surface salinity has been widely implemented in the seas of various regions. The interface between them was developed using a regression equation like the algorithm in previous research. However, the use of this algorithm for waters in Indonesia, especially in Madura Strait, still requires some adjustment since it is related to the characteristics of different areas in which the algorithm was developed. The development of an applicable local algorithm was performed by finding the best coefficient value in estimating sea surface salinity by considering the value of its lowest NMAE (Normalized Mean Absolute Error). By using salinity and in-situ Rrs(l) (Reflectance of remote sensing) data, we found that the coefficient for the slope was -0.0092, and the intercept was 1.4903. The developed algorithm produces higher accuracy than the existing algorithm, with an NMAE of 0.51%. This NMAE value is smaller than previous research, so this new model can be used to estimate sea surface salinity, particularly in Indonesian sea waters.
EVALUASI KEPUASAN PENGGUNA APLIKASI M-HEALTH COVID19 SATUSEHAT DENGAN END USER COMPUTING SATISFACTION (EUCS) DAN MOBILE SERVICE QUALITY(M-S-QUAL) Usman Abrori; Aang Kisnu Darmawan; Muhsi
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 4 (2023): EDISI 18
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i4.2779

Abstract

The SatuSehat application is still new and encounters problems in use. Complaints reported by the public include frequent application errors, failures at check-in, and the length of time it takes to issue vaccine certificates. Users must enter personal data to enter the application. The SERVQUAL method is used to compare service expectations and reality, while the EUCS method is used to measure user satisfaction.