Jurnal Riset Pendidikan Matematika最新文献

{"title":"Kesulitan siswa SMA dalam menyelesaikan soal matematika pada materi peluang","authors":"Annisa Fitri, Agus Maman Abadi","doi":"10.21831/JRPM.V8I1.17004","DOIUrl":"https://doi.org/10.21831/JRPM.V8I1.17004","url":null,"abstract":"Penelitian ini bertujuan untuk mendeskripsikan jenis kesulitan siswa SMA dalam menyelesaikan soal matematika pada materi peluang di Kabupaten Indragiri Hilir. Penelitian ini termasuk penelitian survei dengan pendekatan kuantitatif dan kualitatif. Sampel penelitian sebanyak 284 siswa SMA kelas XI Program IPA di Kabupaten Indragiri Hilir, Indonesia, yang berasal dari sepuluh sekolah dengan kategori tinggi, sedang, dan rendah. Sampel penelitian ditentukan menggunakan teknik stratified propotional random sampling. Instrumen yang digunakan berupa tes yang telah divalidasi oleh ahli (expert judgement). Kesalahan siswa dijustifikasi berdasarkan Newman’s errors categories. Hasil penelitian menunjukkan bahwa jenis kesulitan siswa dalam menyelesaikan soal matematika pada materi peluang yaitu kesulitan memahami masalah (comprehension errors) sebanyak 64,1%; kesulitan melakukan transformasi (transformations errors) sebanyak 71,1%; kesulitan keterampilan proses (processing skill errors) sebanyak 89,4%; dan kesulitan menarik kesimpulan (encoding errors) sebanyak 94%. AbstractThis study aimed to describe the types of difficulties high school students in solving mathematics problems on probability material in Indragiri Hilir Regency. This study includes a survey with quantitative and qualitative approaches. The research sample was 284 eleventh-grade high school students in the science program on Indragiri Hilir Regency, Indonesia, from ten schools with high, medium, and low categories. The research sample was determined using a stratified proportional random sampling technique. The instrument used was a test that has been validated by an expert. Students’ errors were justified based on Newman’s errors categories. The results showed that the types of students’ difficulties in solving mathematics problems on the probability material, namely: difficulty in understanding the problem (comprehension errors) as many as 64.1%; difficulty in making transformations (transformation errors) as many as 71.1%; difficulty in process skill (processing skill errors) as many as 89.4%; and difficulty in concluding (encoding errors) as many as 94%.","PeriodicalId":31272,"journal":{"name":"Jurnal Riset Pendidikan Matematika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48243379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Kesalahan siswa dalam menyelesaikan soal operasi bilangan model ujian negara tingkat SMP","authors":"Alfha Vionita, H. Hartono","doi":"10.21831/JRPM.V8I1.16447","DOIUrl":"https://doi.org/10.21831/JRPM.V8I1.16447","url":null,"abstract":"Penelitian ini bertujuan untuk mendeskripsikan jenis kesalahan siswa dalam menyelesaikan soal operasi bilangan model Ujian Negara (UN) untuk tingkat SMP. Penelitian ini termasuk penelitian survei dengan pendekatan kuantitatif. Survei dilaksanakan pada siswa SMP kelas IX se-Kabupaten Dharmasraya, Indonesia. Sampel penelitian sebanyak 104 siswa dipilih menggunakan teknik stratified propotional random sampling. Instrumen penelitian menggunakan tes diagnostik berupa soal uraian yang dimodifikasi dari soal pilihan ganda pada UN tingkat SMP. Hasil penelitian menunjukkan bahwa jenis kesalahan siswa dalam menyelesaikan soal operasi bilangan model UN untuk tingkat SMP yaitu kesalahan membaca (reading erorrs) sebanyak 30%; kesalahan pemahaman (comprehension errors) sebanyak 40%; kesalahan transformasi (transformations errors) sebanyak 83%; kesalahan keterampilan proses (processing skill errors) sebanyak 85%; dan kesalahan menarik kesimpulan (encoding errors) sebanyak 85%. AbstractThis study aimed to describe the types of students’ errors in solving the number operation problem of the state examination (Ujian Negara or UN) model for the junior high school level. This study was a survey with a quantitative approach. The survey was conducted on ninth-grade junior high school stu­dents in Dharmasraya Regency, Indonesia. The number of study samples was 104 students who were selected using the stratified proportional random sam­pling technique. The instrument used was a diagnostic test in the form of an essay problem which was modified from the multiple-choice national exami­nation test at the junior high school level. The results showed that the types of students’ errors in solving the UN model problem on the topic of number ope­rations were: reading errors (30%); comprehension error (40%); transforma­tions errors (83%); processing skill errors (85%); and encoding errors (85%).","PeriodicalId":31272,"journal":{"name":"Jurnal Riset Pendidikan Matematika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48408450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Kemampuan siswa SMP dalam menyelesaikan soal matematika berbasis HOTS","authors":"Myelnawan Myelnawan, Wahyu Setyaningrum","doi":"10.21831/JRPM.V8I1.16533","DOIUrl":"https://doi.org/10.21831/JRPM.V8I1.16533","url":null,"abstract":"Penelitian deskriptif kualitatif ini bertujuan untuk mendeskripsikan kemampuan siswa SMP di Kabupaten Mamuju dalam menyelesaikan soal matematika berbasis Higher Order Thinking Skills (HOTS). Kemampuan siswa dilihat berdasarkan indikator menganalisis, mengevaluasi, dan mencipta. Subjek penelitian adalah 98 siswa SMP di Kabupaten Mamuju, Indonesia, yang berasal dari empat sekolah dengan kategori tinggi. Pengumpulan data menggunakan tes pilihan ganda, tes uraian, dan wawancara untuk menggali informasi lebih mendalam dari siswa. Hasil penelitian menunjukkan bahwa secara umum kemampuan siswa SMP di Kabupaten Mamuju dalam menyelesaikan soal matematika berbasis HOTS berada pada kriteria rendah. Persentase siswa yang mampu menjawab soal untuk indikator menganalisis termasuk pada kriteria sedang. Sedangkan, persentase siswa yang mampu menjawab soal untuk indikator mengevaluasi dan mencipta termasuk pada kriteria sangat rendah.AbstractThis qualitative descriptive study aims to describe the ability of junior high school students in Mamuju Regency to solve mathematics problems based on Higher Order Thinking Skills (HOTS). Students’ abilities were seen based on indicators of analyzing, evaluating, and creating. The research subjects were 98 junior high school students from four high-performance schools in Mamuju Regency, Indonesia. Data collection used multiple-choice tests, essay tests, and interviews to dig deeper information from students. The study results revealed that the overall ability of junior high school students in Mamuju Regency in solving mathematics problems based on HOTS was in the low criteria. The percentage of students who could answer questions for analyzing indicators was included in the medium criteria. Meanwhile, the percentage of students who were able to answer questions for indicators of evaluating and creating was included in the very low criteria.","PeriodicalId":31272,"journal":{"name":"Jurnal Riset Pendidikan Matematika","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42604605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing primary school students' competencies in step by step controllable argumentation using a new learning environment","authors":"D. Ate","doi":"10.21831/JRPM.V8I1.35322","DOIUrl":"https://doi.org/10.21831/JRPM.V8I1.35322","url":null,"abstract":"For the goal of raising the mathematical performance of students, the quality of teaching has to be improved in the direction that critical thinking and a step-by-step controllable argumentation have to be established. Metacognitive activities of teachers and students can support this. The goal of the design research presented in this paper is to show how metacognitive activities in classroom discussions can be fostered and the mechanisms can be uncovered. For this purpose, on the one hand, a new learning environment - designed for learning addition and subtraction of integers in grade four – has been created. On the other hand, the teacher and the students have been consequently educated to practice new behavior during the lessons. This pilot study is carried out in Sumba, in a regular class, grade four, consisting of 28 students. The lessons had been video graphed; selected pieces of the public discussions have been transcribed. Teacher’s and learners’ utterances and their interplay have been classified using a particular coding system developed for those purposes. The pattern of classifications has been the basis for interpreting the metacognitive-discursive learning culture. One result of the study is that students even in grade four accept such a learning environment; they practice inventing and analyzing strategies in this field of algebra as it would be a game with step-by-step controllable argumentations. After that, an astonishingly short time of educating students to practice metacognitive activities, both in oral discussions as well as in written answers to relevant formulated questions.","PeriodicalId":31272,"journal":{"name":"Jurnal Riset Pendidikan Matematika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49500783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediksi Curah Hujan di Kota Bandung Menggunakan Model Logika Fuzzy Time Series","authors":"Dinda Salsabilla Nur Aliana","doi":"10.29313/.V0I0.30832","DOIUrl":"https://doi.org/10.29313/.V0I0.30832","url":null,"abstract":"Rainfall prediction is useful for life activities, such as public safety, agricultural prodaction, animal husbandry, fisheries, aviation, etc. This study aims to determine the prediction of rainfall in Bandung using the Fuzzy Time Series Logic model and its level of accuracy using Mean Absolute Error (MAE). The rainfall data in January 2010-December 2019 from BMKG was used to build the model and predict the rainfall in January 2020. Based on the results, the predicted rainfall in January 2020 is 225mm or moderate rainfall. The error using MAE is 3.848583 mm. The error shows that the prediction value using Fuzzy Time Series Logic is less accurate which may be caused by several factors, such as the raw data have error and missing values so that the data is not normally distributed, also the occurrence of El Nino and La Nina in 2015, 2016 and 2019. \u0000Informasi prediksi curah hujan diperlukan bagi berbagai macam aktivitas kehidupan, seperti keselamatan masyarakat, produksi pertanian, peternakan, perikanan, penerbangan dan lain sebagainya. Penelitian ini bertujuan untuk mengetahui proses penerapan dalam memprediksi curah hujan di Kota Bandung dan tingkat akurasi model Logika Fuzzy Time Series dalam memprediksi curah hujan di Kota Bandung menggunakan Mean Absolute Error (MAE).  Data yang digunakan adalah data curah hujan Januari 2010-Desember 2019 yang berasal dari BMKG. Berdasarkan hasil analisis prediksi curah hujan Kota Bandung menggunakan Logika Fuzzy Time Series, nilai prediksi curah hujan Januari 2020 sebesar 225mm atau akan terjadi hujan menengah (sedang) nilai error menggunakan MAE sebesar MAE = 3,848583. Nilai error yang dihasilkan menunjukkan bahwa nilai prediksi menggunakan Logika Fuzzy Time Series kurang akurat dikarenakan terdapat beberapa faktor yang mempengaruhi seperti banyaknya data yang bernilai error dan tidak tercatat sehingga data tidak berdistribusi normal, peristiwa El Nino dan La Nina pada tahun 2015, 2016 dan 2019","PeriodicalId":31272,"journal":{"name":"Jurnal Riset Pendidikan Matematika","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86120798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pemodelan Box-Jenkins dan Exponential Smoothing untuk Prediksi Pengunjung Daerah Wisata Sayang Ka’ak Ciamis","authors":"Devilia Rahmawati","doi":"10.29313/.V0I0.30688","DOIUrl":"https://doi.org/10.29313/.V0I0.30688","url":null,"abstract":"Abstract. Tourism is an inseparable part of human life. Various potential tourism objects that have been developed are natural tourism potentials, which are mostly owned by developing countries, including Indonesia. Forecasting foreign tourist arrivals is very important for the government and industry, because forecasting is the basis for effective policy planning, just as a tourist attraction called Wana Wisata Grand Sayang Kaak Ciamis needs an important tool in planning in order to take the right action. This article discusses the formation of models and forecasting the number of tourist visits at Wana Wisata Grand Sayang Ka'ak Ciamis, using the Box Jenkins method and the Double Exponential Smoothing method. The data of visitors to dear ka'ak ciamis tourism area has non-stationary characteristics. The results of the modeling of the two methods show that the Exponential Smoothing method is better (with an error of 7.77%) than the Box-Jenkins (with an error of 9.90%). Forecasting results using the Double Exponential Smoothing method in the 15th to 19th week as many as 192.172, 152, 131, 111 visitors. \u0000Abstrak. Pariwisata merupakan bagian yang tidak terpisahkan dari kehidupan manusia. Berbagai potensi objek wisata yang dikembangakan adalah potensi wisata alam yang sebagian besar dimiliki oleh negara-negara berkembang termasuk Indonesia. Peramalan kunjungan wisatawan mancanegara sangat penting bagi pemerintah dan industri, karena peramalan menjadi dasar dalam perencanaan kebijakan yang efektif, Seperti halnya objek wisata yang bernama Wana Wisata Grand Sayang Kaak Ciamis membutuhkan alat bantu yang penting dalam suatu perencanaan agar dapat mengambil suatu tindakan yang tepat. Artikel ini membahas tentang pembentukan model dan peramalan jumlah kunjungan wisata pada Wana Wisata Grand Sayang Ka’ak Ciamis, dengan menggunakan metode Box Jenkins dan metode Double Exponential Smoothing. Data pengunjung wana wisata sayang ka’ak ciamis memiliki karakteristik yang non stasioner. Hasil pemodelan kedua metode menunjukan bahwa metode Exponential Smoothing lebih baik (dengan error 7,77%) daripada Box-Jenkins (dengan error 9,90%). Hasil peramalan dengan metode Double Exponential Smoothing pada minggu ke 15 sampai dengan ke 19 sebanyak 192,172, 152, 131, 111 pengunjung.","PeriodicalId":31272,"journal":{"name":"Jurnal Riset Pendidikan Matematika","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75925174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisis Regresi Data Panel Pengaruh PDRB, Indeks Pembangunan Manusia, dan Tingkat Pengangguran Terbuka terhadap Jumlah Kemiskinan di Kabupaten/Kota di Jawa Barat pada Tahun 2013-2020","authors":"S. Fitria, Didi Suhaedi, Yurika Permanasari","doi":"10.29313/.V0I0.30896","DOIUrl":"https://doi.org/10.29313/.V0I0.30896","url":null,"abstract":"Abstract. Economic development in Indonesia is currently facing the problem of poverty. One indicator of the success of the implementation of development that can be used as a benchmark at a macro level is economic growth. Regional economic growth can be reflected in changes in Gross Regional Domestic Product in a region. In this development, humans are used as the main source of wealth in a country. This makes the Human Development Index measure the achievement of human development based on a number of basic components of quality of life. Development is carried out to realize community prosperity through economic development in overcoming various development and social problems such as unemployment. Increasing economic growth means that the production of goods/services produced will increase. The best solution in solving the problem of poverty by analyzing the influence of GRDP, HDI, and TPT on the amount of poverty in the Regency/City of West Java Province in 2013-2020. The Panel Data Regression method is used as an analytical tool in the study, by selecting the Fixed Effect Model, it shows that the GRDP, HDI, and TPT variables have a positive and significant effect on the number of poverty in districts/cities in West Java Province. \u0000Abstrak. Pembangunan ekonomi di Indonesia saat ini sedang dihadapkan pada masalah kemiskinan. Salah satu indikator keberhasilan pelaksanaan pembangunan yang dapat dijadikan tolak ukur secara makro adalah pertumbuhan ekonomi. Pertumbuhan ekonomi daerah dapat dicerminkan dari perubahan Produk Domestik Regional Bruto dalam suatu wilayah. Dalam pembangunan tersebut manusia dijadikan sumber kekayaan utama dalam suatu negara. Hal ini menjadikan Indeks Pembangunan Manusia mengukur capaian pembangunan manusia berbasis sejumlah komponen dasar kualitas hidup. Pembangunan dilakukan untuk mewujudkan kemakmuran masyarakat melalui pengembangan perekonomian dalam mengatasi berbagai permasalahan pembangunan dan sosial kemasyarakatan seperti pengangguran. Pertumbuhan ekonomi yang semakin meningkat berarti produksi barang/jasa yang dihasilkan akan meningkat. Solusi terbaik dalam pemecahan masalah kemiskinan dengan menganalisis pengaruh PDRB, IPM, dan TPT terhadap jumlah kemiskinan di Kabupaten/Kota Provinsi Jawa Barat pada Tahun 2013-2020. Metode Regresi Data Panel digunakan sebagai alat analisis dalam penelitian, dengan memilih Fixed Effect Model menunjukkan variabel PDRB, IPM, dan TPT berpengaruh positif dan signifikan terhadap jumlah kemiskinan Kabupaten/Kota di Provinsi Jawa Barat.","PeriodicalId":31272,"journal":{"name":"Jurnal Riset Pendidikan Matematika","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87842200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Penggunaan Regresi Data Panel pada Analisis Indeks Pembangunan Manusia","authors":"Limah Olivia Alviani, Eti Kurniati, F. Badruzzaman","doi":"10.29313/.V0I0.30666","DOIUrl":"https://doi.org/10.29313/.V0I0.30666","url":null,"abstract":"Abstract. Human development index is important component to measure the success level in effort to improve the human life quality. This index has three dimensions, they are called the dimensions of health, the dimensions of education, and the dimensions of decent living standards. The health dimension is measured by using life expectancy. The education dimension is measured by using the expected length of schooling and the average length of schooling. Meanwhile, the standard of living is measured using real per capita expenditure in rupiah. This study aims to find the cause that affects the human development index, and the best model is using panel data as a regression method. The results shown that the human development index is influenced by life expectancy, long school expectations, average length of schooling and per capita expenditure. The model used in this study is named fixed effect model with a coefficient of determination of 99.99%, which means that this model is good enough to be used. \u0000Abstrak. Indeks pembangunan manusia yaitu salah satu komponen penting untuk mengukur tingkat keberhasilan dalam upaya meningkatkan kualitas hidup manusia. Indeks pembangunan manusia dibangun dengan tiga dimensi yaitu dimensi kesehatan, dimensi pendidikan serta dimensi standar layak hidup. Dimensi kesehatan diukur menggunakan angka harapan hidup. Dimensi pendidikan diukur menggunakan harapan lama sekolah dan rata-rata lama sekolah. Sedangkan dimensi standar layak hidup diukur menggunakan pengeluaran per kapita riil dalam rupiah. Penelitian ini bertujuan untuk mencari faktor yang mempengaruhi indeks pembangunan manusia dan model yang terbaik menggunakan metode regresi data panel. Hasil yang diperoleh yaitu indeks pembangunan manusia dipengaruhi oleh angka harapan hidup, harapan lama sekolah, rata-rata lama sekolah dan pengeluaran per kapita. Model yang digunakan pada penelitian ini yaitu fixed effect model dengan nilai koefisien determinasinya sebesar 99,99% yang berarti model ini baik di gunakan.","PeriodicalId":31272,"journal":{"name":"Jurnal Riset Pendidikan Matematika","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82953871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimasi Produksi Buis Beton Menggunakan Model De Novo Programming pada Sakti Beton Jaya Mandiri","authors":"Resqy Sellva Budianti, Y. Ramdani, R. Respitawulan","doi":"10.29313/.V0I0.30617","DOIUrl":"https://doi.org/10.29313/.V0I0.30617","url":null,"abstract":"Sakti Beton Jaya Mandiri is an industry that provides various types of construction materials, one of which is the manufacture of concrete buis. There are seven types of buis concrete produced. The raw materials used in the manufacture of buis concrete are sand, cement and water. When producing concrete buis, sometimes there is an excess or residual raw material, which caused by the inaccurate calculation of the raw material requirements. The aim of this paper is to optimize the production of concrete buis according to the available resources so that there are no residues. De Novo programming model is used and then formulated into a linear programming model using the simplex method. The calculation results the optimum numbers of production are 216 buis concrete type 20, 238 buis concrete type 30, 142 buis concrete type 40, 130 buis concrete type 50, 112 buis concrete type 60, 125 buis concrete type 80, and 150 buis concrete type 100 with total production profit in March 2021 of Rp. 47,685,060.58. \u0000Sakti Beton Jaya Mandiri merupakan industri penyedia berbagai jenis material konstruksi salah satunya pembuatan buis beton. Terdapat tujuh jenis tipe buis beton yang diproduksi. Bahan baku yang digunakan dalam pembuatan buis beton yaitu pasir, semen dan air. Saat memproduksi buis beton terkadang terjadi kelebihan atau sisa bahan baku yang penyebabnya diperkirakan pada kurang tepatnya memperhitungkan kebutuhan bahan baku, sedangkan dalam pembuatan beton terdapat spesifikasi tertentu yang harus terpenuhi sehingga diupayakan agar tidak adanya sisa bahan baku saat proses produksi. Diperlukan optimasi produksi buis beton sesuai dengan sumber daya yang tersedia agar tidak terdapat sisa, digunakan model de novo programming kemudian diformulasikan ke dalam model linear programming dengan metode simpleks. Hasil perhitungan diperoleh jumlah masing-masing produk buis beton diantaranya buis beton tipe 20 sebanyak 216, buis beton tipe 30 sebanyak 238, buis beton tipe 40 sebanyak 142, buis beton tipe 50 sebanyak 130, buis beton tipe 60 sebanyak 112, buis beton tipe 80 sebanyak 125 dan buis beton tipe 100 sebanyak 150 dengan total keuntungan produksi pada bulan Maret 2021 yaitu Rp. 47.685.060,58. Penggunaan model de novo programming dapat mengoptimalkan bahan baku yang tersedia sehingga diharapkan mampu memenuhi spesifikasi produk buis beton yang telah ditetapkan dan keuntungan yang diperoleh maksimum.","PeriodicalId":31272,"journal":{"name":"Jurnal Riset Pendidikan Matematika","volume":"420 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76814524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediksi Harga Saham Perusahaan Operator Telekomunikasi Selular pada Masa Pandemi Menggunakan Metode Binomial","authors":"Ferliana, Y. Ramdani, Yurika Permanasari","doi":"10.29313/jrm.v1i1.102","DOIUrl":"https://doi.org/10.29313/jrm.v1i1.102","url":null,"abstract":"Abstract. The corona virus causes all activities to be carried out online so that all activities require Internet access which makes mobile telecommunications operator companies one of the promising investments in this pandemic. Stock investing allows investors to get profits in a relatively short time. Investments in stocks are currently unstable, as the whole world has been in difficult times since the coronavirus. Capital market players can feel the loss, which causes share prices to tend to decline. The impact of the corona virus is to paralyze all areas, especially the economy, so that an investor must be able to predict an increase or decrease in stock prices. The binomial method helps investors to predict the possibility of a stock price that will occur and is clarified by using a binomial tree that can be predicted in the form of stock prices by having the possibility of four predictions, two predictions describing an increase in shares and two other predictions describing the possibility of a falling stock price. \u0000Abstrak. Virus korona menyebabkan semua kegiatan dilakukan melalui daring (online) sehingga semua kegiatan memerlukan akses Internet yang membuat perusahaan operator telekomunikasi seluler menjadi salah satu investasi yang menjanjikan dimasa pandemi ini Investasi ialah komitmen menempatkan sejumlah dana dalam waktu yang cukup lama untuk memperoleh keuntungan di masa datang. Investasi saham memungkinkan investor mendapatkan keuntungan  dalam waktu yang relatif singkat. Investasi dalam bentuk saham pada saat ini tidaklah stabil, karena seluruh dunia dalam masa sulit semenjak adanya virus korona. Kerugianpun dapat dirasakan oleh pelaku pasar modal yang menyebabkan harga saham cenderung menurun. Dampak virus korona adalah melumpuhkan segala bidang terutama perekonomian sehingga sebagai seorang investor harus bisa memprediksi peningkatan atau penurunan harga saham. Metode binomial membantu investor untuk memprediksi kemungkinan harga saham yang akan terjadi dan diperjelas dengan menggunakan pohon binomial hasil prediksi yang di dapat berupa harga saham dengan memiliki kemungkinan empat prediksi dua prediksi menggambarkan kenaikan saham dan dua prediksi lain menggambarkan kemungkinan harga saham turun.","PeriodicalId":31272,"journal":{"name":"Jurnal Riset Pendidikan Matematika","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86074157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}