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PERAMALAN VOLUME PENJUALAN TEH 2 TANG DENGAN PROSES AUTOREGRESI DAN AUTOKORELASI Hidayati, Nurul; Mastur, Zaenuri; Walid, Walid
Unnes Journal of Mathematics Vol 1 No 1 (2012)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v1i1.662

Abstract

Penjualan merupakan kegiatan ekonomis yang umum, dengan penjualan sebuah perusahaan akan memperoleh hasil atau laba sesuai yang direncanakan atau memperoleh pengembalian atas biaya-biaya yang dikeluarkan. Untuk mengetahui hasil penjualan yang akan datang maka dilakukan suatu ramalan sehingga dapat dipakai sebagai acuan perusahaan tersebut. Dalam artikel ini akan dikaji peramalan volume penjualan teh 2 tang tahun 2010 dengan proses Autoregresi dan Autokorelasi pada CV Duta Java Tea Indonesia Adiwerna Tegal. Metode yang digunakan dalam penelitian ini adalah metode dokumentasi, yaitu data yang dikumpulkan data sekunder yang diperoleh dari catatan penjualan teh 2 tang di CV. Duta Java Tea Indonesia Tegal Tahun 2004-2010. Pengujian normalitas dengan menggunakan One-Sample Kolmogorov-Smirnov test terlihat pada nilai signifikan yang lebih dari 5% artinya H0 diterima, jadi data tersebut berdistribusi normal. Dengan persamaan tersebut, diperoleh ramalan volume penjualan teh 2 tang untuk bulan Agustus 2010 adalah sebesar 51.500 bal, bulan September 2010 sebesar 73.600 bal, bulan Oktober 2010 sebesar 90.800 bal, bulan November 2010 sebesar 104.200 bal, bulan Desember 2010 sebesar 114.600 bal. Berdasarkan hasil pembahasan dapat disimpulkan bahwa proses Autoregresi Autokorelasi dapat digunakan untuk meramalkan volume penjualan teh 2 tang pada CV Duta Java Tea Indonesia Adiwerna Tegal.
Problem solving skill through think pair share model with murder approach viewed from learning interest of tenth grade students Millah, Najichatul; Waluya, St. Budi; Walid, Walid
Unnes Journal of Mathematics Education Vol 7 No 3 (2018): Unnes Journal of Mathematics Education
Publisher : Department of Mathematics, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujme.v7i3.22616

Abstract

This research focuses on problem-solving capability through Think Pair Share model with MURDER approach viewed from learning interest of the students. TPS learning with MURDER approach was conducted through three phases of TPS namely Think, Pair, and Share. This research aims to testthe completeness of problem-solving through TPS model with MURDER approachand to describe the problem-solving capability through TPS model with MURDER approach viewed from students’ learning interest.This research usedmixed methods with concurrent embedded design. The samples of this research weretenth-grade students of AP (experimental class) andtenth grade TP A (control class) of State Vocational High School 2 Rembang who were chosen through random sampling technique. The quantitative data collection technique used test, while qualitative data collection used triangulation technique. Sample selection on qualitative research used purposive sampling technique. The qualitative datawere analyzed by usingnormality, homogeneity, equality of two means, t, and z tests. Qualitative data were analyzed by using data validation test, data reduction, data presentation, and verification andconclusion drawing. The results of the research showedthat the (1) problem-solving capabilities of the students through TPS model with MURDER approach has reached individual and classical completeness, (2) the problem solving capabilities of the students through TPS model with MURDER approach was better than the problem solving capabilities of the studentsthrough expository learning model, (3) students with high learning interestcould fulfill all problem solving capability indicators, (4) students with moderate learning interestcould fulfill fourproblem solving capability indicatorsbut they tend to be lessthorough, and (5) students with low learning interestwere less able to fulfill appropriate strategies application indicators to solve the problem.
Analysis of students mathematics communication ability based on Keirsey personality type through accelerated learning model Wulansari, Indah; Walid, Walid
Unnes Journal of Mathematics Education Vol 10 No 2 (2021): Unnes Journal of Mathematics Education
Publisher : Department of Mathematics, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujme.v10i2.32178

Abstract

Mathematics communication ability needs to be improved so that students can solve math problems well. The purpose of this research was to: (1) determine whether the average students' mathematics communication ability are taught using Accelerated Learning (AL) model reached 65 and finished the classical; (2) describe the mathematics communication ability of students based on personality types Keirsey through the AL model. This research method using mixed methods with sequential explanatory design. Sampling with cluster random sampling technique, the determination of the subject by using purposive sampling. The population in this study is a class VIII student in one of the Junior High Schools in Semarang by taking a class sample. The results showed that the average students' mathematics communication ability are taught using a model of the AL reached 65 and completed the classical with the percentage reached 75%. Description of mathematics communication abilities of students based on Keirsey personality types: (a) Artisan students able to two indicators; (b) Guardian students able to two indicators; (c) Idealist students able to two indicators; and (d) Rational students able to two indicators.
Mathematical reasoning ability of students based on learning style using Missouri Mathematics Project learning model Wahyudi, Indra Dana; Walid, Walid
Unnes Journal of Mathematics Education Vol 9 No 3 (2020): Unnes Journal of Mathematics Education
Publisher : Department of Mathematics, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujme.v9i3.44538

Abstract

The purpose of this study is to (1) determine whether student learning outcomes in aspects of mathematical reasoning ability using the Missouri Mathematics Project learning model achieve classical completeness criteria, (2) describe the mathematical reasoning ability in terms of learning styles using the Missouri Mathematics Project learning model. The method used is mixed methods explanatory sequential design with a population of students in one of senior high school in Demak in the academic year 2019/2020. Samples were taken by cluster random sampling and obtained XI Mathematics dan Science 4 as an experimental class. The research subjects were taken with a purposive sampling technique selected based on the learning style category and obtained 6 subjects. The research data was taken by using test, questionnaire, and interview techniques. The results showed (1) The ability of mathematical reasoning on the application of the Missouri Mathematics Project learning model achieved classical completeness; (2) Two types of visual learning style subjects have mathematical reasoning abilities at the medium and low levels; (3) Two types of auditory learning style subjects have mathematical reasoning abilities at high and low levels; (4) Two types of kinesthetic learning style subjects have mathematical reasoning abilities at high and low levels; (5) The average results of the ability tests for each learning style show that students with auditory learning styles have the highest average.
Cement Sales Forecasting Using Backpropagation Neural Network and Recurrent Neural Network Achmalia, Aisyah Fany; Walid, Walid; Sugiman, Sugiman
Unnes Journal of Mathematics Vol 8 No 1 (2019)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v8i1.29323

Abstract

Backpropagation Neural Network (BPNN) is a Neural Network (NN) that moves forward and does not have a loop where the signal flow from input neurons to output neurons, while Recurrent Neural Network (RNN) is a NN model where architecture has at least one feedback loop. In this research, cement sales forecasting was carried out at PT Semen Indonesia (Persero) Tbk by using BPNN and Elman type RNN. The purpose of this research was to obtain BPNN and Elman type RNN modeling for cement sales forecasting at PT Semen Indonesia (Persero) Tbk, as well as forecasting results using the best models. The results show that the best BPNN model is the BPNN model (9-5-1) with the Levenberg-Marquardt training algorithm with Mu initialization used is 0,02 and the aktivation function used is logsig, while the best Elman type RNN model is the Elman type RNN model (9-5-1) with gradient descent with momentum and adaptive learning rate training algorithm with the momentum used is 0,2, the learning rate used is 0,2, and the activation function used is logsig. The best model for cement sales forecasting at PT Semen Indonesia (Persero) Tbk is the BPNN model (9-5-1) with forecasting result for April 2018 to December 2018.
PERAMALAN PENJUALAN SEMEN MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK DAN RECURRENT NEURAL NETWORK Achmalia, Aisyah Fany; Walid, Walid; Sugiman, Sugiman
Unnes Journal of Mathematics Vol 9 No 1 (2020)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v9i1.29970

Abstract

Backpropagation Neural Netwrok (BPNN) adalah Neural Network (NN) yang tidak memiliki loop, sedangkan Recurrent Neural Network (RNN) adalah NN yang memiliki minimal satu feedback loop. Dalam penelitian ini dilakukan peramalan penjualan semen di PT Semen Indonesia (Persero) Tbk dengan menggunakan BPNN dan RNN tipe Elman. Tujuan penelitian ini adalah untuk memperoleh pemodelan BPNN dan RNN tipe Elman untuk peramalan penjualan semen, serta hasil peramalan menggunakan model terbaik. Hasil penelitian menunjukkan model BPNN terbaik adalah BPNN (9-5-1) dengan algoritma pelatihan Levenberg-Marquardt dengan inisialisasi Mu yang digunakan adalah 0,02 dan fungsi aktivasi yang digunakan adalah logsig, sedangkan model RNN tipe Elman terbaik adalah RNN tipe Elman (9-5-1) dengan algoritma pelatihan gradient descent dengan momentum dan adaptive learning rate dengan momentum yang digunakan adalah 0,2, learning rate yang digunakan adalah 0,2, dan fungsi aktivasi yang digunakan adalah logsig. Model terbaik untuk peramalan penjualan semen di PT Semen Indonesia (Persero) Tbk adalah BPNN (9-5-1).
TIME SERIES MODELLING OF STOCK PRICE BY MODWT-ARIMA METHOD 'Aina, Maula Qorri; Hendikawati, Putriaji; Walid, Walid
Unnes Journal of Mathematics Vol 8 No 2 (2019)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v8i2.30352

Abstract

MODWT-ARIMA is a time series modeling that combines the MODWT process and the ARIMA process. The MODWT process is used as pre-processing data while the ARIMA process as a time series modeling for data from MODWT decomposition. This study aims to show that time series modeling with a combined MODWT-ARIMA process provides more accurate forecast result compared to the ARIMA model. The modeled data is time series of daily stock price BBRI.JK started from January 2, 2015 to December 31, 2018. Accuracy measurement of the forecasting result is based on the RMSE value. The result is the MODWT-ARIMA model has a RMSE value which is smaller than the ARIMA model with RMSE , while the RMSE forecast results for 43 future periods is which is also smaller than the ARIMA forecast RMSE, . The diagnostic checking results if the ARIMA model for MODWT decompotition data, namely D1, D2, D3, and S3, indicate that the residual model is not white noise, while the ARIMA model for the time period of daily stock prices has white noise residuals. Theoritically, a model that has no white noise’s residual is considered to be less able to describe the properties of the observed data and further residual modeing should be done. However, this research is sufficient for the ARIMA model and it can be shown that the MODWT-ARIMA model is more effective for modelling time series that are not stationery compared to the ARIMA model.
Pemodelan ARIMAX, FFNN, dan ARIMAX-FFNN untuk peramalan produksi padi Provinsi Jawa Tengah Hapsari, Nabila Widya; Walid, Walid
Unnes Journal of Mathematics Vol 10 No 2 (2021)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v10i2.48418

Abstract

Pertumbuhan penduduk di Indonesia yang bertambah setiap tahunnya menyebabkan kebutuhan pangan mengalami peningkatan, sedangkan berkurangnya lahan pertanian yang beralih fungsi mengakibatkan turunnya angka produksi padi, Sempitnya luas panen tentu berimplikasi pada terbatasnya hasil produksi yang diperoleh. hal ini mengakibatkan ketersediaan pangan menjadi tidak stabil, sehingga perlu dilakukannya peramalan agar persediaan selalu terpenuhi. Pada penelitian ini, produksi padi akan diramalkan menggunakan metode ARIMAX, FFNN, dan Hybrid ARIMAX-FFNN dengan variabel eksogen adalah luas panen padi. Tujuan penelitian ini, yaitu untuk memperoleh pemodelan ARIMAX, FFNN, dan Hybrid ARIMAX-FFNN untuk meramalkan produksi padi di Provinsi Jawa Tengah, sehingga diperoleh model terbaik yang kemudian dapat digunakan untuk meramalkan produksi padi pada periode berikutnya. Hasil analisis dari penelitian ini menghasilkan model ARIMAX terbaik adalah model ARIMAX . Sedangkan model FFNN terbaik adalah model FFNN (1-27-1). Model Hybrid ARIMAX-FFNN terbaik adalah model (2-19-1). Model terbaik untuk peramalan produksi padi pada periode mendatang yaitu menggunakan model ARIMAX .
MODEL DEVELOPMENT COOPERATION IN ACCOUNTING SEMARANG Walid, Walid; Alamsyah, Alamsyah
Rekayasa : Jurnal Penerapan Teknologi dan Pembelajaran Vol 14, No 2 (2016): Desember 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rekayasa.v14i2.8965

Abstract

prinsip-prinsip koperasi adalah landasan dasar Koperasi dalam menjalankan usahanya sebagai badan hukum dan gerakan ekonomi. Ulasan Prinsip-prinsip ini: kemerdekaan, keanggotaan terbuka, manajemen dilakukan secara demokratis, pembagian hasil usaha Dilakukan di proporsional adil untuk jumlah layanan bisnis dari masing-masing anggotanya, penyediaan remunerasi terbatas terhadap modal, pendidikan koperasi dan kerja sama antara koperasi, karakteristik koperasi yang membedakannya dari badan usaha lain adalah bahwa anggota koperasi memiliki identitas ganda yang juga pemilik services. With koperasi pengembangan kegiatan usaha koperasi, menuntut manajemen yang diterapkan dalam koperasi profesional akan semakin besar. manajemen profesional membutuhkan sistem akuntabilitas yang baik dan informasi yang relevan dan dapat diandalkan, untuk perencanaan dan pengendalian pengambilan keputusan koperasi. Salah satu upaya tersebut adalah pengembangan sistem informasi yang dibutuhkan untuk menumbuhkan akuntansi through koperasi, khususnya merumuskan standar akuntansi untuk penyusunan cooperative. Appropriate laporan keuanganya dalam pengembangan Koperasi dalam laporan keuangan Dilaporkan, sekarang dalam perumusannya telah menerbitkan Pernyataan Standar akuntansi keuangan (PSAK) No. 27 tentang perkoperasiaan akuntansi yang telah mendapat revisi pada tahun 1998. PSAK No. 27 mengandung karakteristik koperasi, struktur organisasi koperasi, usaha dan jenis koperasi, tujuan koperasi, struktur pengorganisasian koperasi, usaha dan jenis koperasi, tujuan koperasi, ruang lingkup kerjasama, definisi koperasi -definisi, standar penyajian laporan keuangan koperasi. KPRI Berguna sebagai mitra pertama yang memiliki masalah yang sangat serius terkait dengan manajemen handayani mart yang masih menggunakan model manual dalam semua bentuk bisnis, sehingga PKPRI Semarang di Unit Simpan Pinjam yang juga tidak menggunakan sistem komputerisasi dalam pengelolaan akuntansi keuangan di koperasi. Untuk perlua bahwa model akuntansi sekali koperasi dikembangkan pada kedua mitra menggunakan program visual basic dalam rangka meningkatkan efektivitas dan efisiensi di kedua koperasi.
Development of Android-Based Linear Program Teaching Materials with an Ethnomatematics Approach to Improve Students’ Mathematical Problem Solving Ability Novitasari, Fitri; Walid, Walid
Unnes Journal of Mathematics Education Vol 11 No 1 (2022): Unnes Journal of Mathematics Education
Publisher : Department of Mathematics, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujme.v11i1.55806

Abstract

This study aims to determine process of developing teaching materials for android-based linear programming with an ethnomathematics approach that was valid, practical, and effective to improve students' mathematical problem solving abilities. This study uses research and development (R&D) methods with modifications to the ADDIE model developed by Dick and Carry Analysis, Design, Development or Production, Implementation and Evaluation. Data collection using test techniques and non-test techniques. The data analysis technique used a Likert scale, Guttman scale, one-sided average s test, proportion test, and N-Gain test.The results showed that the teaching materials had very valid criteria with an average percentage of material validity test of 93.84% and media validity test of 86.67%, very practical with an average practicality test of 90%, and effective for improving mathematical problem solving skills. students which include: (1) mathematical problem solving abilities of students who are taught using teaching materials meet individual mastery; (2) the proportion of completeness of students' mathematical problem solving ability test results after using teaching materials is more than 80% so as to achieve classical mastery. (3) based on the results of the pretest and posttest showed that the teaching materials were able to improve students' mathematical problem solving abilities where the average posttest score was greater than the average pretest score with an N-Gain result of 0.5659 on medium criteria. So, it can be concluded if the teaching materials are valid, practical, and effective so that they are feasible to be used in learning mathematics to improve students' problem solving abilities.
Co-Authors 'Aina, Maula Qorri Achmalia, Aisyah Fany Adi Nur Cahyono Adrillian, Hendrisa Agustina, Rizki Alamsyah - An-Nidhof, Ikmilul Maula Aprilla, Diah Mitha Ardhi Prabowo Arief Agoestanto Avi Budi Setiawan Azmi, Kholifatu Ulil Azzahra, Nur Izzah Bambang Eko Susilo Bambang Eko Susilo Bambang Eko Susilo Bayu Rizky Pratama, Bayu Rizky Bulan Rahmayani Cahyono, Nur Adi Cielo Dewi Cahyani Dewi, Arsiana Kusuma Dewi, Nuriana Rahmani Disty, Indi Rifkiana Dwijanto Dwijanto, Dwijanto Emi Pujiastuti Fatin, Nisrina Firdaus, Rizqi Rohmatul Fitriana, Nur Fadila Fullu Azka Hairunisah, Hairunisah Hapsari, Nabila Widya Hartono Hartono Helmi Yanti Henry Suryo Bintoro Hikmah, Madda Salimatul Ida Ayu Putu Sri Widnyani Indra Lesmana Iqbal Kharisudin Isnarto Isnarto Iwan Junaedi Iwan Junaedi Iwan junaedi Julianti, Nova Kartono - Kartono, Kartono Korniawan, Ojik Danang Kurniawati, Septi Laila Rahmawati Luthfan Hawali, Muhammad Marfu'ah, Solikhatun Masrukan Masrukan Masruroh Masruroh Maulida, Sylmi Millah, Najichatul Mohammad Asikin Muhammad Feriady, Muhammad Muhammad Kharis Mulyono Mulyono Mulyono Mulyono Mulyono Munahefi, Detalia Noriza NALURITA, BERNIKA RAHMANIA Nikmah Nurvicalesti Nino Adhi, Nuriana Rachmani Dewi Novitasari, Fitri Nur Fatimah Nur Mahsarah Rahadatul Aisy Nura Milla Husna Nurdin Halid Nurliah Buhari, Nurliah Nursiwi Nugraheni Nurul Hidayati Priyatno, Sigit Putri, Indah Annisa Putriaji Hendikawati Rahayu, Uswatun Khasanah Dwi Rahmawati, Rofiqo Rahmayani, Bulan Rochmad - Rohmatin Zukhriya S.B. Waluya S.Pd. M Kes I Ketut Sudiana . Scolastika Mariani Siti Kholifah St. Budi Waluya Sugiman Sugiman Sukestiyarno, Y L sulistyawati, anita Sunarmi Sunarmi Swari, Ignasia Santi Kumala Wahyudi, Indra Dana Wahyudi, Reza Izam Wardono Wardono Widowati Widowati Widya Dwiyanti Wulansari, Indah Y.L. Sukestiyarno YL Sukestiyarno Yohanes Leonardus Sukestiyarno Yuningsih Yuningsih Yusfita Yusuf Zaenuri Mastur Zainuri Zainuri, Zainuri