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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JMM17: Jurnal Ilmu Ekonomi dan Manajemen Jurnal Manajemen Teori dan Terapan Journal of Information Systems Engineering and Business Intelligence Journal of Natural Sciences and Mathematics Research R.E.M (Rekyasa Energi Manufaktur) Jurnal Jurnal Ilmiah Ekonomi Islam Teknika: Engineering and Sains Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control BAREKENG: Jurnal Ilmu Matematika dan Terapan ASRO JOURNAL - STTAL STTAL POSTGRADUATE - INTERNATIONAL CONFERENCE Zeta - Math Journal Prosiding Seminar Nasional Sains dan Teknologi Terapan Multitek Indonesia : Jurnal Ilmiah Care : Jurnal Ilmiah Ilmu Kesehatan Mathvision : Jurnal Matematika Systemic: Information System and Informatics Journal Education and Human Development Journal Community Development Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics Specta Journal of Technology Community Service Journal of Indonesia Jurnal Tecnoscienza REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Layanan Masyarakat (Journal of Public Service) Indonesian Journal of Cultural and Community Development Indonesia Berdaya Walisongo Journal of Information Technology Jurnal Kedaymas Journal of Health Community Service Indexia Islamic Banking : Jurnal Pemikiran dan Pengembangan Perbankan Syariah Pattimura International Journal of Mathematics (PIJMath) Semanggi: Jurnal Pengabdian kepada Masyarakat Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Indonesian Research Journal on Education Jurnal Pengembangan Masyarakat Lokal Parameter: Jurnal Matematika, Statistika dan Terapannya
Teguh Herlambang
Universitas Nahdlatul Ulama Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts 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 Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Implementation Fuzzy and Extended Kalman Filter for Estimation of High and Low Stock Price Travel Company Santoso, Ismanto Hadi; Katias, Puspandam; Herlambang, Teguh; Anshori, Mohamad Yusak; Adinugroho, Mukhtar
Pattimura International Journal of Mathematics (PIJMath) Vol 2 No 1 (2023): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pijmathvol2iss1pp17-24

Abstract

Competition in the business world is getting tougher from year to year both within a country and abroad. There are a large number of companies competing with one another, especially entering the free market share in Asia, namely the Asean Economic Community (AEC). In the current development of modern economy, Indonesia is making efforts to increase its economic growth. For this, developments in any fields are made. Among others is the service industry such as accommodation, travel, and transportation services. Considering that Indonesia is a country comprised of many islands with a variety of natural beauty, it has the very potential for tourist resort attraction. This kind of thing leads to the growth of the Travel, tourism and hotel industry to support development of tourism. With such rapid service industry development, supported by promising business opportunities, investors for such sector are encouraged. The right way to reduce risk for investors interested is to develop a system for estimating the stock prices. Therefore, in this study, the high and low stock price estimation method applied for travel companies adopted developed Kalman Filter, a comparison of two Kalman Filter development methods, namely Extended Kalman Filter (EKF) and Fuzzy Kalman Filter (FKF) as a chart for investors to take into consideration in their investment decision making. The simulation results showed that the EKF method had higher accuracy than the FKF method with an error by the EKF of 3.5% and that by the FKF of 8.9%.
DIGITALISASI SISTEM MANAJEMEN POSYANDU “BOCAHCARE” SEBAGAI UPAYA PEMANTAUAN DAN PENCEGAHAN STUNTING DI DESA PONGANGAN KECAMATAN MANYAR KABUPATEN GRESIK Herlambang, Teguh; Hasina, Siti Nur; Katias, Puspandam; Sahri, Moch.; Ajizah, Silvia; Riansyah, Denny Fitrah Af; Macap, Siti Rahayu
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 4 (2024): Volume 5 No. 4 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i4.33538

Abstract

Prevalensi stunting berdasarkan SSGI (Studi Status Gizi) dari Kementerian Kesehatan pada tahun 2022, di Gresik mencapai 12,8%. Salah satu program pemerintahan yang dilakukan oleh Kabupaten Gresik yakni bekerja sama dengan universitas terkait untuk melaksanakan program KKN (Kuliah Kerja Nyata) Semantik dengan menfokuskan pada penanganan mengenai stunting, dalam program ini juga dilaksanakan FGD atau Forum Group Disscussion untuk melaksanakan pemantuan berkala mengenai stunting di kabupaten Gresik. Di Jaman yang serba digital ini, juga terdapat pengembangan SIM (Sistem Informasi Manajemen) dengan ini akan menjadi sistem informasi yang berbasis komputer, yang dirancang untuk bekerja dengan data yang memiliki data spasial. Dengan teknologi ini dapat membantu dalam pengumpulan, penyimpanan, analisis, dan visualisasi data ibu dan anak, sehingga memungkinkan pengguna untuk membuat keputusan yang lebih baik berdasarkan informasi spasial yang relevan. Sehingga pada paper ini, dilakukan sebuah digitalisasi sistem manamejem Posayandu yang diberi nama BocahCare yang bertujuan untuk meningkatkan efisiensi pengelolaan data dan pelayanan kesehatan dalam lingkungan posyandu. BocahCare adalah komponen dari sistem yang lebih besar, yaitu sistem manajemen Posyandu Sejahtera 1B, yang mencakup seluruh operasional Posyandu, termasuk jadwal acara, pemeriksaan kesehatan, distribusi vitamin, dan komunikasi dengan peserta.
SOSIALISASI PEMBUATAN PEMROGRAMAN MOBILE LAPORAN KEUANGAN DI PT ABISAKTI SURYA MEGAKON Katias, Puspandam; Herlambang, Teguh; Yudianto, Firman; Anshori, Mohamad Yusak; Adinugroho, Mukhtar; Rasyid, Reizano Amri; Sahri, Moch.
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 4 (2024): Volume 5 No. 4 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i4.33539

Abstract

Di era digital ini masyarakat diharapkan mampu menguasai teknologi dan mengoperasikannya. Hal ini juga berlaku bagi pelaku Usaha Mikro Kecil Menengah. Pelaku UMKM dituntut untuk bisa membuat pembukuan untuk laporan keuangan baik secara manual maupun secara digital. Laporan keuangan adalah catatan informasi suatu perusahaan pada periode akuntansi yang menggambarkan kinerja perusahaan tersebut. Selama ini para pelaku UMKM dan Perusahaan yang baru memulai usaha dalam mencatat pembukuan dan transaksi keuangan secara manual, sehingga mereka kesulitan dalam menentukan laba dan jumlah persediaan. Namun karena terdapat keterbatasan pengetahuan dalam mengelola atau membuat laporan keuangan yang cukup rumit seperti yang diterapkan perusahaan besar, maka pada akhirnya di era digitalisasi ini mulai tersedia berbagai pencatatan keuangan UMKM dengan aplikasi mobile seperti aplikasi BukuKas dan Buku Warung untuk UMKM. Aplikasi mobile ini dapat membantu pelaku UMKM dalam membuat laporan keuangan yang sederhana namun tetap sesuai dengan Standar Akuntansi Keuangan (SAK). Sehingga kegiatan pengabdian kepada masyarakat tentang sosialisasi pembuatan pemrogaman mobile sistem ini menjadi signifikan untuk menunjang kemandirian manajemen sebuah perusahan. Oleh karena itu dirasa perlu diadakan Sosialisasi Pembuatan pemrograman mobile laporan keuangan di PT Abisakti Surya Megakon, maka dapat menjadikan bahan pemantauaan kas perusahaan.
Comparative study of artificial Neural Network and Kalman Filter models for blood demand forecasting at PMI Surabaya Sofia, Ainin; Teguh Herlambang; Rizqi Putri Nourma Budiarti; Endang Sulistiyani
Journal of Natural Sciences and Mathematics Research Vol. 11 No. 2 (2025): December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v11i2.28540

Abstract

Blood plays a vital role in human health, making the need for donors and transfusions crucial. Currently, the Indonesian Red Cross (PMI) in Surabaya faces a balance issue between blood supply and demand. To address this, a blood demand forecasting model has been created at the PMI using ANN with a 4% error rate. The Kalman Filter algorithm is known to significantly reduce prediction errors from the prediction and correction process, while an ANN is considered capable of handling data complexity and nonlinearity. Therefore, this study aims to analyze the performance of the ANN and Kalman Filter models and compare the model performance results to determine the model with the best performance level. The modelling uses the CRISP-DM method, which starts from data understanding, data preparation, data modelling, model evaluation, and forecasting. The results of this study indicate that the Kalman Filter model successfully minimizes errors compared to the ANN prediction results, achieving a model accuracy level reaching 93.1%. These results demonstrate that the Kalman Filter model can significantly reduce prediction errors in the prediction and correction process, making it more optimal than the ANN model in forecasting blood demand at the PMI in Surabaya.
COMPARISON OF XGBOOST AND RANDOM FOREST METHODS IN PREDICTING AIR POLLUTION LEVELS Pulih Asih, Akas Yekti; Yudianto, Firman; Triwinanto, Puguh; Sinatriya Marjianto, Rachman; Herlambang, Teguh; Arof, Hamzah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 1 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss1pp0785-0796

Abstract

Air is one of the elements needed by living things, including humans, to survive. The air quality in an area also affects the health and quality of human life and its surrounding environment. However, with the current phenomenon, the influence of the increasing number and mobility of humans actually degrades air quality, caused by the pollutants produced. For further impacts, poor air quality can reduce human life expectancy. Big cities in Indonesia, such as Surabaya, also experience the same thing due to the lack of public awareness of air pollution. The biggest contributors to air pollution are motor vehicles and industrial activities that emit carbon monoxide (CO), nitrogen oxides (NO), ozone (O3), and other particles (PM10). This condition is addressed by the Surabaya City Government by installing air condition measuring devices at points considered prone to pollution. This device works to measure urban air conditions daily and provides data that can be utilized to establish strategic policies. By utilizing the data, in this research, we implemented two prediction methods from machine learning technology, namely XG Boost and Random Forest. In accordance with the objective of this research, both methods will be compared for accuracy in predicting air pollution levels in Surabaya based on Ozon (O3) substance within the period of January 1, 2020, to December 31, 2020. Both of them have a similarity in that they implement tree-ensemble based, which are appropriate for handling non-linear data. The XG Boost method managed to achieve the best error value of 0.0510, and the Random Forest method reached the best error value of 0.0468.
Analysis and Prediction of Turbidity Level of Water Based on Ammonia Substance Using Random Forest and K-Nearest Neighbor Herlambang, Teguh; Azmi, Mohd Sanusi; Othman, Zuraini Binti; Arief, Mochammad Romli
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 3 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv4i3pp429-440

Abstract

Water is the primary need for human survival. The need for clean water is very important, both in a household scale and in an industrial scale. The clean water used and consumed by the community comes from river water processed and distributed by the Regional Drinking Water Company (PDAM). Water conditions before being treated and distributed contain various harmful substances if not purified, one of which is ammonia. Currently, with the development of information technology, especially in the field of machine learning and data analysis, the process of predicting the content of ammonia substances in water is becoming increasingly facilitated. Machine learning has provided a number of scientific prediction methods that can be used. In this research, the methods used were Random Forest Regression and K-Nearest Neighbor (KNN) methods are used to predict turbidity level of water in PDAM Surya Sembada Surabaya. This research aims to compare robbustness and accuracy of prediction models. The Random Forest method produced the best prediction error value of 0.0934, while the K-Nearest Neighbor (KNN) method produced the best prediction error value of 0.0918.
Model Pemberdayaan Ekonomi Dan Sosial Masyarakat Berbasis Masjid Kampus Surabaya (Studi Kasus Pada Masjid Kampus Unair, Its Dan Unesa) Mukhtar Adinugroho; Teguh Herlambang; Riyan Sisiawan Putra; Mohamad Rijal Iskandar Zhulqurnain
Jurnal Ilmiah Ekonomi Islam Vol. 9 No. 2 (2023): JIEI : Vol.9, No.2, 2023
Publisher : ITB AAS INDONESIA Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jiei.v9i2.8679

Abstract

Mosque-based community empowerment is a da'wah movement to increase the independence and welfare of the community. Mosques as religious institutions are expected to be able to prosper society with productive programs through the concept of community empowerment in the economic and social fields. Based on these reasons, this study aims to find a campus mosque-based community empowerment model from the economic and social aspects. This study uses a qualitative approach with a case study method with pattern matching analysis techniques. Data collection used a criteria technique to determine informants who totaled 5 takmir in three mosques, namely, Manarul '11mi ITS Mosque, Ulul 'Azmi Unair Mosque, and Baitul Makmur Unesa Mosque to be interviewed in depth, observed, and documented. The results of this study found that every mosque has enormous potential in empowering the socio-economic community, but it has not been optimal in its implementation so that the congregation and the wider community do not feel the impact of the presence of the mosque. This is also due to the lack of professional experts in mosque management. The combination of the three campus mosques produces a mosque-based economic and social-community empowerment model that can be implemented in mosques that wish to empower the community economically and socially. If a mosque wants to do empowerment, it is required to collaborate with the government, universities, the community, and the private sector. Mosques must implement modern administration and be able to identify community potential. Inputs to economic empowerment include institutions, leadership and goals. The process of economic and social empowerment includes spiritual formation, personal mental formation, capacity building, and empowering. The output of economic-social empowerment includes character strengthening, mental character strengthening, emotional relationship strengthening, business strengthening and economic-social strengthening. The outcomes obtained include spiritual abilities, economic abilities and social abilities so that they are able to give birth to world and hereafter welfare. Thus the mosque is not only prospered by the community, but the mosque is able to prosper the community.
Co-Authors 'Arobi, Akhmad 'Izzul Abdul Muhith Adrianto, Dian Afiananda Rizky Afib Rulyansah Ahmad Syafiq Kamil Ajizah, Silvia Akbar, Reza Maliki Amri Rasyid, Reizano Andy Suryowinoto Arasy Alimudin ARDIANSYAH, DAVID Arief, M. Romli Arief, Mochammad Romli Arof, Hamzah Asy'ari, Vaizal Asy’ari, Vaizal Authar, Nailul Azmi Khulama Devi Azmi, Mohd Sanusi Baital, Muhammad Sawal Budiarti, Rizqi Putri Nourma Candra Ningrat Catur Wulandari Dennis V. Madrigal Diah Ayuningtyas Wati Dian Adrianto Diecky Adzkiya Dieky Adzkiya Dike Bayu Magfira, Dike Bayu Dina Novita, Dina Dini Ermavitalini Dinita Rahmalia, Dinita Elisa Qotrunnada Endang Sulistiyani Erna Apriliani Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Farisi, Rizaldi Al Fatikhasari, Niken Fatmawati, Atika Fauji, Awwalinnisa Fidita, Denis Firdaus, Aji Akbar Hakiki, Moh Saiful Hamdani, M. Yusuf Hasan, Aldi Age Hasanah, alsabila Maulidah Hasanah, Indah Karimatul Hendro Nurhadi Hety, Dyah Siwi Ima Kurniastuti Isqi, Isye Fadiata Jauharotur Rihlah Karya, Denis Fidita Katherin Indriawati Khozin Mu'tamar Kresna Oktafianto Kresna Oktafianto Leni Yuliana M. Yushak Anshori Macap, Siti Rahayu Maghfira, Dike Bayu Maisyatul Fikriyyah Maulana Bayu Mayga Kiki Merta, I Wayan Surya Miftahul Huda Moch. Sahri Mohamad Rijal Iskandar Zhulqurnain Mohamad Yusak Anshori Mohammad Syaiful Pradana, Mohammad Syaiful Mokhamad Ramadani Ilham Akbar Mughni, Ahmad Syafiq Muhaimin Muhaimin Muhammad Halili Muhammad Nur Candra Mutia Annisaa’ Firdaus Nafa, Mulya Nyoman Juniarta, Nyoman Oktavianto, Lucky Othman, Zuraini Binti Pradana, Favian Aditya Pulih Asih, Akas Yekti Puspandam Katias Putri, Nadita Mutiara Rachma Rizqina Rachman Sinatriya Marjianto Rahayu, Ragil Puji Riansyah, Denny Fitrah Af Rita Sari Riyan Sisiawan Putra Rizky Ramadhan, Rizky Roebbi, aadiyah Rohman, Mochamad Khakim Santoso, Ismanto Hadi Saputro, Hendik Eko Septiyan Dias Anggoro Shiela, Fadia Jasmine Has Sigit Pancahayani Siswanti, Anas Tifa Rahma Sofia, Ainin Soraya, Sabrina Ifahdini Sri Hartatik Subchan Subchan Subchan Subchan Subchan Subchan Subchan, Subchan Sulistiyani, Endang Suprapto, Sena Sukmananda Supriyanto Supriyanto Susanto, Fajar Annas Susanto, Ismanto Hadi Teay Shawyun Thomy Eko Saputro Tomasouw, Berny Pebo Tri Deviasari Wulan Tri Deviasari Wulan Wulan Triono Bagus Saputro, Triono Bagus Triwinanto, Puguh Vicky Andria Kusuma Virniasai, Putri Yuliana Wahyu Wiji Lestari Widjanarko, Angga Adhitya Wulan, Tri Deviasari Wulansari, Tri Yudianto, Firman Yuliana, Leni Yuliyanto Agung Prabowo Zakaria, Moch Zhulqurnain, Mohamad Rijal Iskandar