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All Journal EJIP BIOL SPEKTRUM: Jurnal Pendidikan Luar Sekolah (PLS) Jurnal Kreatif Tadulako Online AGROTEKBIS JIMKesmas (Jurnal Ilmiah Mahasiswa Kesehatan Masyarakat) JITEK (Jurnal Ilmiah Teknosains) Faktor Exacta Jusikom : Jurnal Sistem Komputer Musirawas Jurnal Teknologi Informasi MURA Martabe : Jurnal Pengabdian Kepada Masyarakat NUSANTARA : Jurnal Ilmu Pengetahuan Sosial JURNAL PHOTON JFL : Jurnal Farmasi Lampung JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Review Pendidikan dan Pengajaran (JRPP) Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) Jurnal Ilmiah Biologi UMA (JIBIOMA) Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Wal'afiat Hospital Journal Knowbase : International Journal of Knowledge in Database WAL'AFIAT HOSPITAL JOURNAL IJRE
Sasmita Sasmita
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pemetaan tingkat kriminalitas kota pagar alam dengan memanfaatkan metode machine learning Sasmita, Sasmita; Rahmadayanti, Fitria; Rahayu, Rika
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 23 No 1 (2024): Februari 2024
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v23i1.9599

Abstract

Tujuan dari penelitian ini adalah menghasilkan pemetaan tingkat kriminalitas kota Pagar Alam dengan memanfaatkan metode machine learning. Penelitian ini dilatar belakangi data laporan polisi kurang lengkapnya data dalam berita acara pemeriksaaan yang digunakan, berdampak pada informasi terkait lokasi kejadian yang ada pada data laporan Satreskrim sehingga kurangnya keakuratan informasi. Metode pengembangan sistem menggunakan CRISP-DM yang terdiri dari 6 tahap yaitu Business Understanding, Data Understanding, Data Preparation, Modelling, Evaluation dan Deployment. Pada penelitian ini algoritma yang digunakan yaitu K-Means Clustering, data diolah menjadi 3 Cluster yaitu Cluster tingkat kriminalitas tidak rawan (C0), Cluster rawan (C1), Cluster sangat rawan (C2). Hasil diperoleh tahun 2020 untuk cluster_0 yaitu sebanyak 28 kelurahan, tahun 2021 sebanyak 24 kelurahan dan tahun 2020 sebanyak 20 kelurahan. Untuk cluster_1 pada tahun 2020 yaitu 6 kelurahan, tahun 2021 sebanyak 10 kelurahan dan tahun 2022 sebanyak 11 kelurahan. Dan cluster_2 pada tahun 2020 dan 2021 yaitu hanya 1 kelurahan dan tahun 2022 sebanyak 4 kelurahan. Metode pengujian menggunakan Elbow. Hasil dari pengujian metode Elbow untuk menghitung hasil SSE terbentuk 3 cluster (K=3) dengan nilai 3244.766. Hasil pengujian dengan jumlah cluster 3 dapat dikatakan valid atau sesuai dengan hasil clastering k-means pada Rapid Miner, hasil dari klasterisasi berupa pemetaan menggunakan ArcGIS 
Composite Modification of Water Hyacinth Fiber in the Production of Decorative Particle Boards by Spray-Coating Utilizing a Silane Coupling Agent Sasmita, Sasmita; Ginting, Delovita; Syahputra, Romi Fadli
Photon: Jurnal Sain dan Kesehatan Vol. 14 No. 2 (2024): Jurnal Photon
Publisher : LPPM Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jp.v15i1.6806

Abstract

Water hyacinth is a waste in waters that can damage the balance of aquatic ecosystems because of its rapid growth, which can reach 3% in a day. One utilization of water hyacinth waste is to be used as filler material for decorative particleboard. This study aims to look at the physical and mechanical characteristics of particleboard with surface coating treatment using silane coupling agent solution.. Water hyacinth fiber was selected as an alternative filler material for the particle board composite due to its abundant availability and potential fiber properties. The surface of the particle boards was modified using a silane coupling agent (KH550) to enhance the bond quality between components. The water hyacinth powder was first alkalized with NaOH and distilled water (1:5) for 1 hour, then mixed with epoxy resin in a 40:60 weight ratio. The compaction process was carried out using a hydraulic hot press at 2 bar pressure and 50°C temperature for 10 minutes. The resulting particle boards were tested for density, moisture content, water absorption, and thickness swelling. Flexural testing was conducted in accordance with ASTM D790-03, and tensile strength testing followed ASTM D638-14. Surface morphology was observed using a scanning electron microscope (SEM). The results showed that the application of a silane coupling agent improved the bond between the matrix and filler, and the produced particle boards met the quality standards for density, moisture content, water absorption, thickness swelling, flexural strength, and tensile strength.
Sistem Pakar Pemilihan Bibit Padi Unggul dengan Metode Forward Chaining Efan, Efan; Sasmita, Sasmita; Suhada, Desmi Aulia
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.v5i2.4926

Abstract

Expert systems are technologies that are widely used in the agricultural sector, one of which is for selecting seeds. Rice is one of the most important food crops in life, rice is the main source of carbohydrates for the majority of the world's population. One of the important factors influencing the growth of rice production is better and better quality seed so that it can increase the productivity of rice plants, using better seed can increase yields up to three times a year. This research aims to develop an efficient system for selecting superior payi seeds using the Forward Chaining method, in order to assist the mappers in selecting payi seeds that are in accordance with their criteria. This research was motivated by the process of selecting rice seeds by farmers who still had little knowledge about rice and was carried out by asking people who only understood rice. The system development method uses the Waiter Faill method, which Taihaipain uses, including analysis, design, coding and testing, uses the system using Axure applications, StarUML for development, Visual Studio Code applications for coding, PHP, HTML for programming skills, and Database XAMPP and MySQL. The testing method uses the Blackbox Testing method, namely to determine whether the functionality, input and output of the software meets the required specifications. The results of the research show that all application features function well after being tested using the black box testing method. This expert system also helps the community in choosing rice seeds, as shown through interviews that 85% of respondents need this system.
Analisis Perilaku Pedagang dalam Pencegahan Penularan Coronavirus Disease 2019 di Pasar Wameo Kota Baubau Andriani, Rininta; Islamy, La Ode Syaiful; Amiruddin, Eky Endriana; Sasmita, Sasmita
Wal'afiat Hospital Journal Vol 3 No 1 (2022): Wal'afiat Hospital Journal
Publisher : Rumah Sakit Ibnu Sina, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/whj.v0i0.68

Abstract

Coronavirus Disease 2019 (Covid-19) is an infectious disease caused by a newly discovered type of coronavirus. The purpose of this study was to explore in-depth the knowledge, attitudes, and actions of traders in preventing the transmission of Covid-19 at Wameo Market, Baubau City. The type of research used is qualitative with a phenomenological approach. There were 11 informants in this study. The technique of determining the informants is purposive sampling. Primary data collection by conducting interviews and secondary data from Wameo Market Profile. Data analysis is using content analysis. The results of this study indicate that traders already have good knowledge about the meaning, symptoms, and transmission of Covid-19. Traders have a positive attitude regarding the prevention of Covid-19, while for the action aspect, traders are still lacking discipline in wearing masks and maintaining distance. The conclusion of this study is that the behavior of traders related to Covid-19 prevention seen from the aspect of knowledge about the symptoms, transmission, and prevention of Covid-19 is good. Traders have a positive attitude about preventing Covid-19, while some aspects of the action have washed their hands, but for the use of masks and maintaining distance, there is still a lack of discipline. As for the advice in this study, on the contrary, the public is expected to obey the government's advice, especially to use masks when carrying out activities outside the home, especially in public places such as markets, and not crowd and wash hands in order to reduce the risk of transmission of the Covid-19 virus.
PEMESANAN PRODUK SOUVENIR BERBASIS WEB Gusmaliza, Debi; Sasmita, Sasmita; Setiadi, Dedi
(JITEK)Jurnal Ilmiah Teknosains Vol 9, No 2/Nov (2023): JiTek
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jitek.v9i2/Nov.17303

Abstract

Pagar Alam City is known as a tourist city. Apart from being rich in ancient relics in the form of megalith stones, Pagar Alam is also famous for its natural beauty. This city makes agricultural tourism a direction for developing the people's economy, one of which is a business that sells souvenirs, where tourists from inside and outside always buy souvenirs as souvenirs for relatives and friends. The problem with ordering at this shop is that it still uses a manual system so the data entered is not computerized. In this research, a web-based souvenir product ordering application will be created. The programming languages used to create this program are Php and MySQL with the help of Visual Studio Code, Adobe Photoshop and Xampp tools. The research method used is the waterfall method which has stages such as the user requirements analysis stage, system design stage, implementation stage, verification stage, and finally the maintenance stage. The final result of this research is the creation of an application that can solve data processing problems quickly, precisely and accurately which is connected to a database, making it easier to create orders and recapitulate monthly order reports quickly and at any time if needed.
Optimization Of Agricultural Production In South Sumatera Using Multiple Linear Regression Algorithm Setiadi, Dedi; Sasmita, Sasmita; Mukti, Yogi Isro
Knowbase : International Journal of Knowledge in Database Vol. 4 No. 2 (2024): December 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v4i2.8754

Abstract

Rice is one of the agricultural commodities in South Sumatra whose productivity level still fluctuates. In 2000, rice production reached 1,863,643.00 kg, then increased to 3,272,451.00 kg, in 2010, but decreased again in 2020 to 2,696,877.46 kg. This instability is influenced by various factors such as land area, rainfall, pest attacks, and fertilizer use. This study aims to optimize rice production by applying machine learning using multiple linear regression algorithms, and the CRISP-DM method, with the stages being business understanding, data understanding, data preparation, modeling, evaluation, and implementation. Data of 1,000 records obtained from farmers were analyzed using Google Collaboratory, resulting in an intercept of -3836,2639, and coefficients for land area of 5,7336, rainfall of 1,2710, pests of 6,1153, urea of 1,6226, and phonska of 1,2581. To evaluate the accuracy of rice production predictions based on these independent variables, calculations were made on the RMSE value and analysis of the coefficient of determination. The results were that the RMSE value was recorded at 17065084,9641, and the coefficient of determination (R²) was 0,6487, indicating that around 64,87 % of the variability in rice production can be explained by independent variables such as land area, rainfall, pest attacks, use of urea fertilizer, and phonska, while the remaining 35,13 % was influenced by other factors.
PENGARUH AUDIT TENURE TERHADAP MANAJEMEN LABA PADA PERUSAHAAN MANUFAKTUR SEKTOR INDUSTRI DASAR DAN KIMIA YANG TERDAFTAR PADA BURSA EFEK INDONESIA TAHUN 2018-2020 Arizah, Ainun; Sasmita, Sasmita; Khalid, Ansyarif
Indonesian Journal of Research in Economy Vol. 1 No. 1 (2022): IJRE_1
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

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

Abstract

The purpose of this study is a quantitative type of research with the aim of knowing the effect od audite tenure on earnings management in manufacturing companies in the basic and cheminal industri sectors listed on the Indonesia Stock Exchange in 2018-2020. In this study, the data sources used in data collection include secondary data. The research variable used is Audit Tenure as the independent variable while Earnings Management as the dependent variable. The population in this study are manufacturing companies in the Basic and Chemical Industri Sector Listed on the Indonesia Stock Exchange in 2018-2020 while the samples used in this study were 39 manufacturing companies in the basic and cheminal industry sectors that met the sample criteria during the study period. The sampling technique in this study used purposive sampling. Analysis of the data used is simple regression analysis. The result of the study indicate that audit tenure has no effect on earnings management.
PENGARUH GAME EDUKASI BELAJAR ANGKA BERBASIS ANDROID TERHADAP KEMAMPUAN MENGENAL KONSEP BILANGAN PADA ANAK USIA 5-6 TAHUN Sasmita, Sasmita; Solfiah, Yeni; Satria, Defni
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 3 (2024): Vol. 7 No. 3 (2024): Volume 7 No 3 Tahun 2024 (Special Issue)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i3.32704

Abstract

Berdasarkan hasil pengamatan dilapangan terhadap kemampuan mengenal konsep bilangan pada anak didik belum berkembang dengan optimal. Sehingga perlu dilakukan penerapan Game Edukasi Belajar Angka berbasis android. Tujuan penelitian ini mengkaji pengaruh Game Edukasi Belajar Angka terhadap kemampuan mengenal konsep bilangan pada anak usia 5-6 tahun. Penelitian menggunakan eksperimen dengan desain one group pre-test post-test design dengan jumlah sampel 15 anak. Teknik penggumpulan data yang digunakan dalam penelitian ini adalah menggunakan lembar observasi kemampuan mengenal konsep bilangan. Teknik analisis data menggunakan uji t-test dengan menggunakan program SPSS ver 25. Dari hasil analisis data diperoleh thitung sebesar 21,313 lebih besar dari ttabel = 2,145 dengan sig 0,000 < 0,05. Dapat disimpulkan bahwa terdapat perbedaan kemampuan mengenal konsep bilangan yang signifikan sebelum dan sesudah penggunaan Game Edukasi Belajar Angka berbasis android. Berdasarkan hasil uji hipotesis yang diperoleh terdapat pengaruh Game Edukasi Belajar Angka berbasis android terhadap kemampuan mengenal konsep bilangan pada anak usia 5-6 tahun di TK Kasih Bunda Kecamatan Kerumutan Kabupaten Pelalawan sebesar 52,94%.
PENGARUH PELATIHAN, KOMPETENSI DAN EMPLOYEE ENGAGEMENT TERHADAP KINERJA KARYAWAN DI PT. SCHNEIDER ELECTRIC MANUFACTURING KOTA BATAM Sasmita, Sasmita; Suhardi, Suhardi
NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Vol 10, No 7 (2023): NUSANTARA : Jurnal Ilmu Pengetahuan Sosial
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jips.v10i7.2023.3399-3407

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh pelatihan, kompetensi dan employee engangement terhadap kinerja karyawan di PT. Schneider Electric Manufacturing Kota Batam. Jenis penelitian ini merupakan penelitian kuantitatif. Populasi pada penelitian ini adalah seluruh karyawan di PT. Schneider Electric Kota Batam. Sampel pada penelitian ini dihitung menggunakan Rumus Slovin dan didapatkan sebanyak 100 orang karyawan. Variabel pelatihan memiliki t hitung sebesar 3.601 dari t tabel sebesar 1,98498, dengan nilai sig. dari variabel motivasi Kerja 0,00 0,05. sehingga dapat disimpulkan bahwa variabel pelatihan memiliki pengaruh positif dan signifikan terhadap kinerja karyawan. Variabel kompetensi sebesar 5.025 dari t tabel sebesar 1,98498, dengan nilai sig. dari variabel kompetensi 0,00 0,05. sehingga dapat disimpulkan bahwa variabel kompetensi memiliki pengaruh positif dan signifikan terhadap kinerja karyawan. Variabel employee engangement sebesar 5.162 dari t tabel sebesar 1,98498, sedangkan nilai signifikansi dari variabel employee engangement 0,00 0,05. sehingga dapat disimpulkan bahwa variabel employee engangement memiliki pengaruh positif dan signifikan terhadap kinerja karyawan. Nilai R Square sebesar 0,790. Hal ini dapat disimpulkan bahwa variabel kinerja karyawan dapat dijelaskan oleh variabel pelatihan, kompetensi dan employee engangement sebesar 79% yang menandakan variabel ini layak untuk diteliti.
Co-Authors Abdul Muis ainurafiq, ainurafiq Ajiza, Pratisa Defiera Amin, Astuti Muh Amiruddin, Eky Endriana Andi Baso Kaswar Andi Baso Kaswar Apriana Apriana Arizah, Ainun Awalia, Nur Azis, Salsabila Chairati, Chairati Dedi Setiadi Dedi Setiadi Delovita Ginting, Delovita Dewi Fatmarani Surianto Dhiniati, Fameira Efan Eriyani, Nindy Sri Fitria Rahmadayanti Gusmaliza, Debi Ihsan, Afifi Raima Ika Yuni Astuti Inda Anggraini Jamaluddin, Bunga Mawar Jariah S.Intam, Rezki Nurul Junaid Junaid, Junaid Karlina, Siti Khalid, Ansyarif MHD Natsir Mila mila Muhammad Fajar B Muntari, Siti Musdar, Devi Miftahul Jannah Nirmalasari, Ridha Noor Hujjatusnaini NURLAELA NURLAELA Rahayu, Rika Rahim, Amirudin Ramadhan Ramadhan Retno Wahyuningrum Rininta Andriani Rizki Padya, Inka Romi Fadli Syahputra Saharia Kassa Satria, Defni Siti Aminah Suhada, Desmi Aulia Suhardi Suhardi TRI SUSANTI Yeni solfiah, Yeni Yogi Isro Mukti, Yogi Isro