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All Journal PROSIDING SEMINAR NASIONAL Epsilon: Jurnal Matematika Murni dan Terapan Intiqad: Jurnal Agama dan Pendidikan Islam JSEH (Jurnal Sosial Ekonomi dan Humaniora) JIE (Journal of Islamic Education) Justek : Jurnal Sains Dan Teknologi Jurnal Pertanian Agros Review of Management and Entrepreneurship Square : Journal of Mathematics and Mathematics Education Jurnal Abdidas Journal of Intelligent Computing and Health Informatics (JICHI) Infotech: Jurnal Informatika & Teknologi Jurnal Info Sains : Informatika dan Sains Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam (JURRIMIPA) Prosiding University Research Colloquium Abdimas Mandalika Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial Journal of applied statistics and data mining Journal of Islamic Education
Sulistijanti, Wellie
Akademi Statistika Muhammadiyah Semarang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Peramalan Kurs Dolar Amerika Serikat dan Riyal Arab Saudi Terhadap Rupiah dengan Neural Network Conjugate Gradient Polak Ribiere Lita Citra Dewi Susasimy; Wellie Sulistijanti
Prosiding University Research Colloquium Proceeding of The 14th University Research Colloquium 2021: Bidang Ekonomi dan Bisnis
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1466.588 KB)

Abstract

Pandemi Covid-19 yang terjadi sejak 2 Maret 2020 berdampak pada pertumbuhan ekonomi di Indonesia. Indikator terpenting dalam perekonomian adalah nilai tukar mata uang. Dolar Amerika (USD) merupakan acuan nilai tukar Rupiah (IDR) karena memegang peranan penting dalam transaksi perdaganganan internasional sedangkan Riyal Arab Saudi (SAR) sebagai nilai tukar SAR/IDR karena masyarakat Indonesia melaksanakan ibadah haji dan umroh ke tanah suci Mekkah. Peramalan dilakukan untuk mengetahui kenaikan dan penurunan kurs Dolar dan kurs Riyal terhadap Rupiah yang akan datang. Penelitian ini menggunakan data kurs Dolar dan Riyal bulan Januari-Mei tahun 2021 dari laman Investing.com. Metode peramalan Neural Network dengan algoritma Conjugate Gradient-Backpropagation Polak Ribiere (TrainCGP) algoritma yang arah pencariannya berdasar pada arah konjugasi dan lebih cepat konvergen. Nilai MSE yang didapat pada penelitian ini yaitu untuk data training kurs Dolar terhadap Rupiah sebesar 0,0009 dan data testing sebesar 0,1940 dengan arsitektur jaringan terbaik yaitu 7-9-1. Kemudian diperoleh hasil peramalan tanggal 02 Juni-10 Juni 2021 kurs Dolar terhadap Rupiah melemah pada 04 Juni seharga Rp.14.364,- dan menguat pada 10 juni seharga Rp.14.191,-. Nilai MSE untuk data training kurs Riyal terhadap Rupiah sebesar 0,0009 dan data testing sebesar 0,6322 dengan arsitektur jaringan terbaik yaitu 7-16-1. Kemudian diperoleh hasil peramalan tanggal 02 Juni-10 Juni 2021 kurs Riyal terhadap Rupiah melemah pada 03 juni seharga Rp.3.830,- dan menguat pada 08 Juni seharga Rp.3.768,-.
Pelatihan Aplikasi Canva Untuk Meningkatkan Kemampuan Desain Grafis Anggota Perhimpunan Human Resources Development Jawa Tengah Nurul Huda; Deden Istiawan; Adiyah Mahiruna; Wellie Sulistijanti; Taswati Nova Wijayaningrum
Intimas Vol 3 No 2 (2023)
Publisher : Fakultas Teknologi Informasi dan Industri Unisbank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/intimas.v3i2.9337

Abstract

Penyajian informasi visual sangat penting dalam menyampaikan pesan secara efektif. Informasi visual memiliki kekuatan untuk menyampaikan ide, data, dan konsep secara cepat, menarik, dan mudah diingat. Informasi visual cenderung lebih mudah diingat daripada informasi dalam bentuk teks. Rasio pemrosesan visual dalam otak manusia jauh lebih tinggi, sehingga informasi visual dapat meninggalkan kesan yang lebih kuat dan tahan lama dalam ingatan. Canva adalah salah satu alat atau platform yang populer digunakan untuk mendesain informasi visual. Canva menawarkan berbagai fitur dan template yang memudahkan pengguna dalam membuat grafis, infografis, poster, presentasi, dan desain visual lainnya. Pengabdian kepada masyarakat dalam bentuk pelatihan Canva dapat memberikan manfaat yang signifikan bagi HRD dalam menciptakan materi dan konten yang menarik serta memperkuat komunikasi visual dalam lingkup tugas mereka. Dengan Canva, HRD dapat membuat brosur, poster, undangan, dan materi promosi lainnya dengan mudah dan cepat. Mereka dapat memilih template yang sesuai, menambahkan informasi acara, mengedit desain, dan menghasilkan materi promosi yang menarik dan profesional.
PERAMALAN PRODUKSI PADI KABUPATEN KENDAL: PENDEKATAN FUZZY TIME SERIES CHENG Fachri Putra Supriyandiari; Wellie Sulistijanti
Agros Journal of Agriculture Science Vol 26, No 2 (2024): Edisi Juli
Publisher : Fakultas Pertanian, Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jpa.v26i2.4654

Abstract

Central Java's rice production is in first place as the largest rice producer on the island of Java. One of the districts in Central Java that produces a lot of rice is Kendal District. Forecasting rice production is important to help agricultural planning and management. In this context, Cheng's fuzzy time series method can be an effective tool for forecasting rice production in Kendal Regency. Cheng's fuzzy time series method integrates the concept of fuzzy logic into time series analysis, which makes it possible to handle uncertainty and ambiguity in historical rice production data. This approach allows adaptive adjustment of the model to possible patterns in the data. In this research, rice production data from Kendal Regency used is from 2012 to 2023. The steps involved in this method include fuzzification, formation of a fuzzy relationship matrix, weighting, and defuzzification to obtain accurate forecasting results. It is hoped that the results of this research will produce useful data for stakeholders in agricultural planning in Kendal Regency. By having more accurate estimates of rice production, better decisions can be made regarding resource allocation, distribution and storage of rice and other agricultural policies. The results of testing using the fuzzy Cheng time series to predict Kendal Regency rice production from 2012 to 2023 produced an average MAPE value of 5.09% with a total of 5 intervals and the predicted results for Kendal Regency rice production in 2024 were 180,195.09 tons with accurate results. forecasting 94.91%, so the prediction is considered very good.Key-words: agriculture ;rice; forecasting.
Pelatihan Teknik Sampling Dan Survey Untuk Meningkatkan Kinerja Karyawan PT Mustika Jaya Lestari Semarang Yulianto, Safaat; Khikmah, Laelatul; Ambarwati, Atika Nurani; Wijayaningrum, Taswati Nova; Sulistijanti, Wellie
Intimas Vol 4 No 1 (2024)
Publisher : Fakultas Teknologi Informasi dan Industri Unisbank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/intimas.v4i1.9785

Abstract

Survey is a very important step in supporting decision making in various fields. In conducting surveys, surveyors are required to collect data that must be approached by statistical methods. To be able to understand and conduct surveys correctly, an understanding of statistical analysis is needed, especially on quantitative data. The low understanding and analysis of data and the use of statistical methods make survey results with quantitative data cannot be completed correctly. To be able to conduct surveys correctly, surveyors are also required to understand sampling techniques and statistical analysis in accordance with statistical rules. Community service in the form of training on Sampling and Survey Techniques can provide the benefits of understanding statistics and skills in using statistical methods and software to support quantitative surveys, especially in the field of animal husbandry. In addition, community service in the form of training can also provide significant benefits for employees of PT Mustika Jaya Semarang in conducting surveys of farmers and analyzing the resulting survey results.
Improving Community Welfare Through the Distribution of Basic Necessities in Semarang City Nasihin, Moh; Sulistijanti, Wellie; Wijayaningrum, Taswati Nova
Jurnal Abdidas Vol. 5 No. 4 (2024): August, Pages 301 - 449
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdidas.v5i4.961

Abstract

Program pengabdian masyarakat ini bertujuan untuk meningkatkan kesejahteraan warga Kampung Amposari, Kelurahan Kedungmundu, Kota Semarang dengan membagikan sembako kepada keluarga kurang mampu. Metode yang digunakan dalam pengabdian ini melibatkan identifikasi dan pemetaan kelompok sasaran melalui kerja sama dengan pemerintah setempat dan organisasi kemasyarakatan. Selanjutnya, dilakukan distribusi sembako secara langsung ke rumah-rumah penerima manfaat dengan tetap memperhatikan protokol kesehatan. Hasil dari kegiatan ini menunjukkan peningkatan signifikan dalam akses kebutuhan dasar bagi keluarga penerima, yang tercermin dari pengurangan beban ekonomi dan peningkatan kepuasan sosial. Meskipun demikian, evaluasi program menunjukkan perlunya pendekatan yang lebih terintegrasi dalam penyaluran bantuan, termasuk pelatihan kewirausahaan dan penguatan jaringan dukungan komunitas. Untuk pengabdian selanjutnya, disarankan agar program ini tidak hanya fokus pada pembagian sembako tetapi juga melibatkan pendampingan berkelanjutan serta pendidikan keterampilan yang dapat memberdayakan masyarakat secara lebih menyeluruh.
New Fuzzy ServQual Build with Three Types of Fuzzy Numbers Wulandari, Ratri; sulistijanti, wellie
Journal of Intelligent Computing & Health Informatics Vol 3, No 2 (2022): September
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v3i2.11637

Abstract

Every community in the world desires optimal service quality that meets their expectations. To achieve this, it is essential to measure the level of public satisfaction with the quality of services provided by service providers. Fuzzy servqual is a method used to determine the level of service quality through survey data. The process involves calculating the value of fuzzification, defuzzification, and the GAP value between perception and expectation. This paper introduces a new approach to processing data by using three types of fuzzy numbers: shoulder fuzzy, triangle fuzzy, and trapezoidal fuzzy. The use of three types of fuzzy numbers yields different GAP calculation results compared to using only a triangular fuzzy. The results of this research show that the use of fuzzy number improvement during the fuzzyfication step leads to better GAP results with greater accuracy.
Mapping Religious Harmony in the Special Capital Region Jakarta using K-Means Algorithm Istiawan, Deden; Sulistijanti, Wellie; Santoso, Arif Gunawan; Ustyannie, Windyaning
Journal of Intelligent Computing & Health Informatics Vol 4, No 1 (2023): March
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v4i1.11715

Abstract

D.K.I Jakarta is often called the window of Indonesia. As one of the largest cities in Indonesia, D.K.I Jakarta has various kinds of complex social problems. This research tries to identify and explore conditions of religious harmony in DKI Jakarta. In previous studies of religious harmony, the use of the index in assessing religious harmony could only describe the condition of religious harmony in general without indicating which factor was in measuring the level of religious harmony. This Research uses a clustering approach to analyse religious harmony in DKI Jakarta. The study found that cluster 0 has major problems that affect religious harmony compared to other clusters. Therefore, local government policies related to increasing religious harmony can be focused more on cluster 0, especially on variables that are shown to be low, namely empathy, non-violence, national commitment, and adaptability to local culture.
Cultivation of Islamic Education Values in Orphanage Children Sulistijanti, Wellie; Muslikhun, Alfin; Nasihin, Muh; Mukhlidin
JIE (Journal of Islamic Education) Vol. 9 No. 2 (2024): JIE: (Journal of Islamic Education) July-December
Publisher : Sekolah Tinggi Ilmu Tarbiyah (STIT) Muhammadiyah Bangil in collaboration with Letiges & Association of Muslim Community in ASEAN (AMCA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52615/jie.v9i2.415

Abstract

Instilling values ​​provides values, traits, and knowledge that become a reference for behaviour in everyday life. The values ​​of Islamic education are the values ​​contained in the Islamic religion's teachings, including aqidah and morals. This research aims to discover the processes, strategies and methods for instilling Islamic educational values ​​in foster children at the Muhammadiyah orphanage in Semarang City and the implications. The method used is qualitative with a field study type. Data collection was obtained by conducting observations, interviews and documentation with informants. The population in this study were all residents of the orphanage and the sample was 30 people. The data analysis uses content analysis. This research shows that instilling Islamic educational values ​​in foster children at the Muhammadiyah orphanage in Semarang City starts with the process, planning, implementation, and evaluation. The strategies implemented are routine and regular education, learning Islamic values, good time management, commitment and sincerity of caregivers and a pressure-free environment. The implications for instilling Islamic educational values ​​in Muhammadiyah orphanages include the values ​​of aqidah, worship and morals. This instilling of Islamic values ​​is carried out and implemented in daily behaviour, providing an excellent example after being given by caregivers to their foster children.
Forecasting The Export Value Of Indonesian Footwear Using Arima And Fuzzy Time Series Lee Methods Mira Zayan; Wellie Sulistijanti
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 02 (2024): Informatika dan Sains , Edition, June 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/infosains.v14i02.4669

Abstract

Industrial sector exports have a large contribution to total exports in the Indonesian economy. A forecasting model is needed that is able to forecast the export value of the industrial sector well. The data used in this study are monthly data on the Export Value of Indonesian Footwear. The ARIMA method can forecast data well linearly but has a decrease in accuracy for data with nonlinear components. Lee's Fuzzy Time Series method is good for nonlinear data and has a level of accuracy that is easy to understand. The ARIMA method requires assumptions to be met such as the data must be stationary, then the Fuzzy Time Series Lee method can be used for non-stationary data, because the Fuzzy Time Series Lee does not require certain assumptions to be met. The results of forecasting the value of Indonesian footwear exports using ARIMA have a MAPE value of 18.5% with good criteria, the Fuzzy Time Series Lee method has a MAPE value of 18.2% with good criteria, so it can be used to forecast the value of Indonesian footwear exports for the August 2023 period of 46,563,984 USD. The forecasting results can be a reference for future policy making.
PERAMALAN CURAH HUJAN WILAYAH SEMARANG BARAT DENGAN ALGORITMA RESILIENT BACKPROPAGATION Wellie Sulistijanti
Journal of Applied Statistics and Data Mining Vol. 1 No. 1 (2020): Journal Applied Statistics and Data Mining
Publisher : Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63229/jasdm.v1i1.5

Abstract

Tujuan dari penelitian ini untuk mengaplikasikan cara kerja jaringan syaraf tiruan dengan menggunakan algoritma Resilient untuk peramalan curah hujan di wilayah kota Semarang barat dimana algoritma ini dikembangkan dengan melakukan perubahan bobotdan bias jaringan sesuai dengan perilaku gradient dari setiap iterasi pelatihan hanya dengan cara menggunakan tanda turunannyasaja. Tanda turunan ini akan menentukan arah perbaikan bobot-bobot, sehingga jumlah iterasi yang diperlukan untuk mencapaitarget yang diingginkan lebih sedikit. Penelitian ini menggunakan data curah hujan wilayah Sematang barat Januari 2003 s.d.Desember 2012, dengan jumlah data pelatihan 80% dan jumlah data pengujian 20%. Arsitektur terbaik algoritma Resilient untuk MSE pelatihan 0,1 adalah 1 neuron input, 1 lapisan hidden dengan 18 neuron, dan 1 neuron output (1-18-1) dengan parameter = 1,2 dan n = 0,5. Penggunaan algoritma Resilient untuk peramalan menunjukkan kecepatan waktu, jumlah epoch yang pendek
Co-Authors Adiyah Mahiruna Aidil, Idil Andita, Ayu Aprilia Ummi Mujahidah Arista Fitri Diana Atika Nurani Ambarwati Aulia, Lathifatul Ayu Andita Aziz, Rizal Abdul Azizah, Dzahari Alikharimah Cahyani, Desy Eki Dani Ramdani Fachri Putra Supriyandiari Fajar Ardy Nugroho Fakta Liza Firda Aulia Hendrani Ismanto Ikhtiyar, Zakaria Bani Irfana Maulana Ismail Istiawan, Deden JAYUS Jayus Jayus Khikmah, Laelatul Khoerul Soleh Lita Citra Dewi Susasimy Mahiruna, Adiyah Mardiyah, Aini Mawar Mira Zayan Monica Hellen Dwi Pramesti Muh Nasihin Muh. Nasihin Muhammad Haikal Darmawan Muhammad Sulthan Madany Mukhlidin Muslikhun, Alfin Nasihin, Moh Nasikhin, Muh Nur Hijjah Wahid Fajar Irianti Nurul huda Putri, Meia Rizqi Talitha Rahayu Dwiastuti Pujiningrum RAHMAT SETIAWAN Ratri Wulandari Revino Januar Rachmadi Rizal Abdul Aziz Rizal Ripal Rifana Rowiyani Rowiyani S Susilowat S Susilowat Salsabilla, Salwa Sangnandha, Habill Putra Santoso, Arif Gunawan Sari, Silvia Novita Setyawan, Arie Yoga Soleh, Khoerul Suprayitno, Muhammad Robeth Susasimy, Lita Citra Dewi Syahril Faozi Tarita Intan Soraya Toyib Abdullah Ulfatus Sholihah W, Taswati Nova Wijaksono, Satrio Wijayaningrum, Taswati Nova Willy Estuhardini Ersa Muthahar Windyaning Ustyannie Wulan Bhakti Pertiwi Yulianto, Safaat