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All Journal Jurnal Pilar Sains Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Jurnal Sains Matematika dan Statistika Science and Technology Indonesia Sinkron : Jurnal dan Penelitian Teknik Informatika Seminar Nasional Teknologi Informasi Komunikasi dan Industri Indonesian Journal of Chemistry Instructional Development Journal Jurnal Keluarga Berencana Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat KAIBON ABHINAYA : JURNAL PENGABDIAN MASYARAKAT Journal of Applied Engineering and Technological Science (JAETS) Al-Muqayyad Indonesian Journal of Electrical Engineering and Computer Science Jurnal Statistika dan Aplikasinya Jambura Journal of Mathematics Education Unri Conference Series: Community Engagement Jurnal Ketenagakerjaan J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Indonesian Journal of Advanced Social Works (DARMA) Journal of Mathematics, Computation and Statistics (JMATHCOS)
Arisman Adnan
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Pemahaman Konsep dan Pemecahan Masalah: Studi Eksperimen pada Model Pembelajaran Search, Solve, Create, Share di UIN Suska Riau Khusnal Marzuqo; Arisman Adnan; Sehatta Saragih
Instructional Development Journal Vol 5, No 1 (2022): IDJ
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/idj.v5i1.19472

Abstract

Penelitian ini berawal dari masalah rendahnya pemahaman konsep dan kemampuan pemecahan masalah mahasiswa program studi pendidikan matematika Fakultas Tarbiyah dan Keguruan UIN Suska Riau. Jenis penelitian yang digunakan adalah quasi eksperiment pada mahasiswa semester VI program studi pendidikan matematika Fakultas Tarbiyah dan Keguruan UIN Suska Riau tahun akademik 2015/2016. Data penelitian diperoleh menggunakan instrumen berupa tes pemahaman konsep dan pemecahan masalah. Analisis data dilakukan dengan menggunakan uji Mann Whitney U untuk hipotesis 1, 4 dan 5, uji t’ untuk hipotesis 2, uji t untuk hipotesis 3 dan 6, dan metode grafik untuk hipotesis 7 dan 8. Berdasarkan temuan dan pembahasan, dapat disimpulkan (1) pemahaman konsep dan pemecahan masalah mahasiswa yang belajar menggunakan model pembelajaran SSCS lebih tinggi dari mahasiswa yang belajar dengan pembelajaran konvensional. (2) pemahaman konsep dan pemecahan masalah mahasiswa berpengetahuan awal tinggi yang belajar menggunakan model pembelajaran SSCS lebih tinggi dari mahasiswa berpengetahuan awal tinggi yang belajar dengan pembelajaran konvensional. (3) pemahaman konsep dan pemecahan masalah mahasiswa berpengetahuan awal rendah yang belajar menggunakan model pembelajaran SSCS lebih tinggi dari mahasiswa berpengetahuan awal rendah yang belajar dengan pembelajaran konvensional. (4) tidak terdapat interaksi antara pengetahuan awal dan model pembelajaran SSCS terhadap pemahaman konsep mahasiswa dan pemecahan masalah mahasiswa.
Analisis Komponen Utama dan Biplot untuk Mereduksi Faktor Inflasi Berdasarkan Indeks Harga Konsumen Anne Mudya Yolanda; Arisman Adnan; Rustam Efendi; Haposan Sirait; Irfansyah Irfansyah; Okta Bella Syuhada; Rahmad Ramadhan Laska; Riko Febrian
AL-Muqayyad Vol. 5 No. 2 (2022): Al-Muqayyad
Publisher : STAI Auliaurrasyidin Tembilahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46963/jam.v5i2.766

Abstract

Inflation of a region can be measured from the Consumer Price Index (CPI) by spending group. The aim is to look at the factors that influence monthly inflation based on the CPI for 2021. Principal Component Analysis is used to reduce the expenditure group variables in the CPI, followed by biplot analysis to display the visualization of the first two main components of the PCA in a two-dimensional graph. The results of the main component analysis, (1) the primary expenditure component consists of housing, water, electricity and household fuel variables; equipment, tools and household routine maintenance; transportation; information, communication and financial services; recreation, sports and culture, (2) secondary expenditure components include food, drink and tobacco variables; health; education; general, and (3) complementary expenditure components, namely clothing and footwear variables; personal equipment and other services. These three components simultaneously can represent 88.1% of the diversity of the data. Biplot analysis succeeded in describing the similarity and position of the variables with a total variance of 75%
Visualisasi Data SDGs Desa: Program Desa Cantik di Desa Alahair, Meranti, Riau Arisman Adnan; Noor Ell Goldameir; Bustami Bustami; Haposan Sirait; Anne Mudya Yolanda; Ayu Agustiani; Ecelly Indriani Putri; Agus Kurniawati; Ridho Tri Mulya; Isti Yuliani; Raudatul Yusra; Tira Mei Darnis; Putri Sion Cahayana; Windy Maya Sari
ABDI: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 3 (2023): Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : Labor Jurusan Sosiologi, Fakultas Ilmu Sosial, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/abdi.v5i3.391

Abstract

Desa Cinta Statistik (Desa Cantik) merupakan program yang dijalankan oleh Badan Pusat Statistik (BPS) dalam mendukung Satu Data Indonesia. Pada level desa, belum seluruh perangkat desa memiliki kapabilitas dalam manajemen data tersebut, sehingga dipandang perlu program khusus. Bekerjasama dengan BPS Provinsi Riau dan BPS Kabupaten Kepulauan Meranti, FMIPA UNRI melakukan kegiatan pengabdian masyarakat dengan tema Pemberdayaan Masyarakat Melalui Peningkatan Kapasitas Analisis Data Terintegrasi Program Desa Cinta Statistik di Desa Alahair. Program yang dijalankan meliputi sosialisasi dan observasi mengenai desa cantik, pendampingan aparatur desa dalam pengumpulan data, pembaruan data, dan pembuatan visualisasi data kependudukan yakni data SDGs. Pelaksanaan program dilakukan dengan melibatkan peserta Kuliah Kerja Nyata Terintegrasi yang menetap di desa selama satu bulan dan menjadikan program pemberdayaan ini sebagai program kerja. Berdasarkan observasi dan pendampingan aparat desa, program desa cantik ini berfokus pada perapian data untuk kemajuan desa. Output yang dihasilkan dari program ini adalah infografis dan videografis mengenai kependudukan dan kesehatan, serta buku profil desa. Ketercapaiannya ditunjukkan dari terlaksananya program pendampingan dengan luaran berupa hasil visualisasi dari data yang sudah dikumpulkan, diperbarui, dan divisualisasikan dalam bentuk infografis, videografis, dan buku profil desa. Pada proses pendampingan terhadap aparatur desa terjadi peningkatan kemampuan pengelolaan data sektoral.
Creating a Digital Thematic Map Based on Spatial Data in Alahair Village Using the QGIS 3.22.4 Application Arisman Adnan; Sul Kantri Rahma Wanti; Windy Lasma Sari Purba; Rahwana Saputra; Fikri Marwansyah; Defrinaldi Absari; Kesi Marseliani; Nabilah Fitriyyah Delfira; Sillaturahim; Sukma Novia Syafitri; Wirda Hia
Indonesian Journal of Advanced Social Works Vol. 2 No. 5 (2023): October 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/darma.v2i5.6283

Abstract

Located in the Meranti Islands Regency of Riau Province, Alahair Village is a part of the Tebing Tinggi subdistrict. Alahair Village faces a number of data-related issues, such as data that isn't validated according to the field, unstructured data, and the need to find data quickly; requests from agencies at the sub-district, district, and provincial levels for data from the village; and the fact that when staff changes occur in the village, the data stored in the soft file is lost. Soil types, political boundaries, roads, irrigation zones, altitude, weather, and population can all be stored and managed with the help of spatial and non-spatial data. QGIS 3.22.4 is one such GIS-based program, and it can be used to make maps. Service to the community is accomplished through the following procedures: obtaining a statement of willingness to collaborate and partner; identifying village data needs; collecting village data; processing village data; creating thematic maps; discussing the results of thematic maps; holding workshops to discuss thematic map findings. Lecturers, students, and partners involved in mentoring in the field carry out this community service activity, producing a thematic map with generational, occupational, and educational classifications. Making a thematic map is the presentation of village data in the form of a map which contains village data which will later be easily accessed as a basis for information for the spatial needs of the village's sustainable development plan.
Pembangunan Pembangkit Listrik Tenga Surya untuk Petani Sayur di Desa Kualu Nenas Kabupaten Kampar Iswadi Hasyim Rosma; Feblil Huda; Agus Ika Putra; Arisman Adnan; Ahmad Jamaan
KAIBON ABHINAYA : JURNAL PENGABDIAN MASYARAKAT Vol. 6 No. 2 (2024)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/ka.v6i2.6629

Abstract

This article aims to describe community service activities carried out by the implementation team in Kualu Nenas village, Tambang District, Kampar Regency, Riau. As a village and sub-district that is very close to the city of Pekanbaru which is the capital of Riau province, this village has a very important role as a supplier of vegetable commodities. One of the difficulty faced by farmer groups is that during dry season (sunny), water sources, as one of the important factors in vegetable crops, are very difficult to obtain. To overcome this, this community engagement aims to build the solar photovoltaic generation system as an energy source for submersible pump motors to draw water from the location of water sources and deep well made by farmers on their land. With this solar PV generation system, agricultural locations that are remote from national grid (PT PLN) supply can still operate their pump motors to get water. The stages of this activity are divided into several stages, including surveying the solar PV system construction site, designing solar PV generation system and building solar PV generation system so that it can be operated properly. This activity could run well with the support and cooperation of farmer partners who are actively involved in every stage conducted.
Pendampingan Pada Aparat dan UMKM Desa untuk Peningkatan Ekonomi Simpang Petai-Kampar Agus Ika Putra; Enno Yuniarto; S. Siswanto; Soewignjo Agus Nugroho; Syawal Satibi; K Khairat; Syamsu Herman; Muhammad Saeri; Arisman Adnan
J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 8, No 1 (2024): April 2024
Publisher : IKIP PGRI Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30734/j-abdipamas.v8i1.2812

Abstract

Simpang Petai village was formed due to the expansion of the village in 2008.  As a new village, Simpang Petai lacks facilities to face the challenges of implementing village development. The level of understanding and skills of the village officials for planning system is still very low.  The participation of UMKM in the implementation of village development needs to be carried out and strengthened as one of the bases of village stability and the driving force for improving the village economy.  The PkM Team of the Riau University Village Development Program, as Technical Assistance, helped solve village problems.  Inventarisasi PkM team, compile activities systematically and continuously, to improve the understanding and skills of officials and village communities in the process of preparing and implementing participatory village development planning. The forming of active participation of young people, as drivers of village UMKM, in development as the basis for the resilience of rural communities and the driving force of the village economy.  The activities of Advanced Welding Skills Practice, which with Product orientation, and Management Activities website Desa as the basis for village planning for Community Services and Marketing of Local Products succeeded in improving the economy of UMKM ABSTRAKDesa Simpang Petai terbentuk karena pemekaran desa tahun 2008. Sebagai desa baru, Simpang Petai minim fasilitas menghadapi tantangan melaksanakan pembangunan desa. Tingkat pemahaman dan keterampilan Aparat desa menyusun sistem perencanaan desa masih sangat rendah. Partisipasi UMKM dalam pelaksanaan pembangunan desa perlu dijalankan serta diperkuat sebagai salah satu basis stabilitas desa dan motor penggerak peningkatan Perekonomian desa. Tim Kegiatan Pengabdian Masyarakat Program Bina Desa Universitas Riau, sebagai Technical Assistance, membantu menyelesaikan permasalahan desa. Inventarisasi tim PkM, menyusun kegiatan secara sistematis dan berkesinambungan, yaitu untuk meningkatkan pemahaman dan keterampilan Aparat dan masyarakat desa pada proses penyusunan dan implementasi perencanaan pembangunan desa yang partisipatif. Terbentuknya partisipasi aktif para pemuda, sebagai penggerak UMKM desa, dalam pembangunan sebagai basis ketahanan masyarakat desa dan motor penggerak Perekonomian desa. Kegiatan Praktik Keterampilan Pengelasan Lanjut, yang dengan orientasi Produk, dan Kegiatan Pengelolaan website Desa sebagai basis perencanaan desa untuk Pelayanan Masyarakat dan Pemasaran Produk Lokal berhasil meningkatkan ekonomi UMKM.
The Comparison of Accuracy on Classification Climate Change Data with Logistic Regression Adnan, Arisman; Yolanda, Anne Mudya; Erda, Gustriza; Goldameir, Noor Ell; Indra, Zul
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11914

Abstract

Machine learning methods can be used to generate climate change models. The goal of this study is to use logistic regression machine learning algorithms to classify data on greenhouse gas emissions. The data used is climate change data of several countries obtained from The World Bank, with total greenhouse gas emissions as the response variable and 61 other attributes as explanatory variables. This data is preprocessed using min-max normalization to handle unbalanced ranges, and then the data is split into 70% training data and 30% testing data. Based on the logistic regression modeling, it was discovered that the data from the min-max transformation resulted in better modeling than the data modeling without the transformation process. The accuracy, precision, sensitivity, and specificity of the transformation are 87.60%, 87.76%, 87.04%, and 88.14%, respectively
Designing Geometry Teaching Materials Using Malay Batik Patterns on The Topic of Geometric Transformation Roza, Yenita; Nurqolbi, Leliyana; Adnan, Arisman; Alawiyah, Tuti
Jambura Journal of Mathematics Education Vol 5, No 2: September 2024
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jmathedu.v5i2.25427

Abstract

Many mathematics books presented in an abstract way and ended in student’s perception of difficult subject for mathematics. The goal of this research was to develop geometry learning instruction by using Malay batik patterns on the topic of transformation for junior high school students. The use of local context expect helping student in learning. The ADDIE model which consist of analysis, design, development, implementation, and evaluation is used in this RD research. A validation sheet serves as the validity instrument, which evaluates the accuracy of the instructional materials.  The validity of teaching materials was determined with the average score was 3.57, which was considered to be valid. The practicality tool is a worksheet for utilising instructional resources. This study's implementation was carried out for a limited sample, the practicality percentage value is 89.61%, with a very practical category. The development of the research's end product has led to the creation of geometry transformation teaching materials for junior high school ninth graders that are both valid and practical and are based on Riau Malay batik themes.
Metode Robust K-Fold Cross Validation dengan Partial Least Square Regression pada Data Near Infrared Spectroscopy Sibuea, Nuraini; Syamsudhuha, Syamsudhuha; Adnan, Arisman
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2024: SNTIKI 16
Publisher : UIN Sultan Syarif Kasim Riau

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

Abstract

Penelitian ini mengevaluasi performa model Partial Least Square Regression (PLSR) dalam kondisi data dengan dan tanpa outlier. Penanganan data yang mengandung outlier digunakan metode k-fold cross validation yang diaplikasikan pada data Near Infrared Spectroscopy (NIRS) tanah perkebunan kelapa sawit terhadap pupuk nitrogen (N). Sebelum pengolahan data dilakukan terlebih dahulu pretreatment data untuk menghilangkan efek hamburan data dengan Standardized Normal Variate (SNV). Identifikasi outlier dilakukan dengan metode RBF Kernel PCA menghasilkan data yang termasuk outlier yaitu data ke 7, 8, 92, 93, dan 95. Hasil analisis menunjukkan bahwa keberadaan outlier secara signifikan menurunkan performa PLSR klasik dengan penurunan nilai R2 dan peningkatan nilai RMSE. Penerapan k-fold cross validation pada PLSR mampu meningkatkan robustitas model terhadap outlier dengan peningkatan nilai R2 meskipun sedikit peningkatan pada RMSE. Disimpulkan bahwa k-fold cross validation lebih efektif dalam menangani data set yang mengandung outlier sehingga memberikan prediktabilitas yang lebih stabil dibandingkan PLSR klasik.
Analisis Vector Autoregressive (VAR) pada Jumlah Wisatawan dan Produk Domestik Regional Bruto (PDRB) Khairunnisa, Siska; Adnan, Arisman; Syamsudhuha, Syamsudhuha
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2024: SNTIKI 16
Publisher : UIN Sultan Syarif Kasim Riau

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

Abstract

Penelitian ini bertujuan untuk menganalisis dan melakukan peramalan terhadap jumlah wisatawan dan Produk Domestik Regional Bruto (PDRB) Provinsi Bali Tahun 2010-2023 dalam data Triwulan. Penelitian ini menggunakan metode Vector Autoregressive (VAR). Hasilnya, diperoleh bahwa Jumlah Wisatawan dan PDRB tidak memiliki hubungan yang saling mempengaruhi. Model VAR terbaik menggunakan kelambanan (lag) 3 dengan nilai AIC terkecil yaitu 2332.143. Model tersebut kemudian dipakai untuk melakukan peramalan tahun berikutnya selama 4 periode Triwulan. Hasil peramalan menunjukkan Jumlah Wisatawan di Provinsi Bali selama 4 periode di tahun 2024 mengalami fluktuasi yang cukup signifikan dengan rata-rata 12846.325 sedangkan nilai PDRB ADHK di Provinsi Bali selama 4 periode di tahun 2024 juga mengalami fluktuasi yang cukup signifikan dengan rata-rata sebesar -38.2675.
Co-Authors ', Firdaus Abdul Somad Batubara Afrianto Daud Agus Ika Putra Agus Kurniawati Ahmad Fadli Ahmad Jamaan Amun Amri Anne Mudya Yolanda Asri Elvita Ayu Agustiani Azhari Setiawan Azra Aulia Dwiputri Bustami Bustami Defrinaldi Absari Deni Rizaldi Devri Maulana Ecelly Indriani Putri Elfaki, Faiz AM Endah Dwi Jayanti Enno Yuniarto Fatayat Feblil Huda Febrianti, Lusi Ferdian Fadly Fikri Marwansyah Firdaus ' Fitra Lestari Goldameir, Noor Ell Gustriza Erda Haposan Sirait Haposan Sirait Harison ' Harison Harison Heru Angrianto Ibnu Daqiqil ID Icha Yulia Ilyas Husti Indra, Zul Irfansyah Irfansyah Isnaini ' Isti Yuliani Iswadi HR Iwantono Iwan Barnawi Jusman, Yessi K Khairat Kesi Marseliani Khairunnisa, Siska Khairunnissa, Khairunnissa Khusnal Marzuqo Lindrianasari Liza Yarmanita Mardiyah Muhgni Maria Erna Mayangsari Mayangsari Mirza Hardian Mohammad Saeri Mustofa Usman Nabilah Fitriyyah Delfira Nike Syelfina Noor Ell Goldameir Nurhayati, Nurhayati Nurqolbi, Leliyana Ody Azis Saputra Okta Bella Syuhada Putri Sion Cahayana Putri Susanti Rahmad Kurniawan Rahmad Ramadhan Laska Rahwana Saputra Raudatul Yusra Ridho Tri Mulya Riko Febrian Rini, Ari Sulistyo Riski Rahmadani Rosma, Iswadi Hasyim Russel, Edwin Rustam Efendi Rustam Efendi S. Siswanto Satibi, Syawal Sehatta Saragih Sibuea, Nuraini Sigit Sugiarto Silalahi, Divo Dharma Sillaturahim Sirait, Tesa Theresia Siska Yuliati Soewignjo Agus Nugroho Sukma Novia Syafitri Sukoco Sukoco Sul Kantri Rahma Wanti Sunarno Syamsu Herman Syamsudhuha Syamsudhuha T, Masrina Munawarah Tengku Irfan Wira Buana Tira Mei Darnis Titi Solfitri Tuti Alawiyah Wamiliana Windy Lasma Sari Purba Windy Maya Sari Wirda Hia Yenita Roza Yennita Y Zul Indra