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All Journal MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) Jurnal Ilmiah Sinus METIK JURNAL Jurnal Mantik Jurnal Vokasi G-Tech : Jurnal Teknologi Terapan INFOKUM Jurnal Sistem Informasi dan Sains Teknologi JINAV: Journal of Information and Visualization International Journal of Engineering, Science and Information Technology Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Jurnal Tika Multica Science and Technology JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Malikussaleh Mengabdi Jurnal Pengabdian Nasional (JPN) Indonesia Gameology and Multimedia Expert Jurnal Solusi Masyarakat (JSM)
Veri Ilhadi
Universitas Malikussaleh
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Multica Science and Technology

 1 
MODEL DECISION ANALYSIS IN DETERMINING BUILDING QUALITY BASED ON THE ANALYTICAL HIERARCHY PROCESS Burhanuddin Burhanuddin; Emi Maulani; Veri Ilhadi
Multica Science and Technology Vol 3 No 1 (2023): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v3i1.424

Abstract

Building infrastructure consisting of several types of alternatives that provide the need for selection of various kinds of assessments for ranking in carrying out repairs. The purpose of this study is to determine the priority order and condition of building quality, which is useful as a reference in improvement activities related to seeing the satisfaction of policy makers. Problems with building quality can result from various factors, one of which is related to facilities, building repairs and their handling which are feared to affect productivity in assessments and influence policy making. Primary data can be used as research data to be included in the decision model and direct observations can be made at the research location for each building in Dilhokseumawe. This study uses the Analytical Hierarchy Process (AHP) model, to determine the weight of the components obtained from the results of the interest assessment of building components which include the level of building damage, building age, ease of access, building structure, roof structure, building safety level. The results of the analysis show that factors the main consideration is improving the level of building security with a value of 0.297858847, the second ranking is the Building Structure factor with a priority value of 0.257685234%, the third ranking is the Ease of Access factor with a priority value of 0.128154963 and the Fourth is Building Age with a value of 0.076683671%. Finally the Roof Structure with a priority value of 0.072065172%. The results of this study can be used as recommendations for decision making in view of the quality of buildings and buildings.
Prediction of Shrimp Sales Using the ARIMA (AutoRegressive Integrated Moving Average) Method at UD Udang Makmur Peureulak Veri Ilhadi; Muliana Muliana; Zulfia , Anni; Ulya, Athiyatul; Sahputra , Ilham
Multica Science and Technology Vol 4 No 2 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i2.978

Abstract

UD. Udang Makmur is a shrimp farming business that often faces challenges in accurately predicting sales stock due to reliance on manual forecasting methods. This study aims to develop a web-based sales prediction application utilizing the AutoRegressive Integrated Moving Average (ARIMA) method. The application uses daily sales data from January to December 2023 for analysis. The results indicate that the ARIMA (2,1,1) model delivers accurate predictions, achieving a Mean Squared Error (MSE) of 0.264295. Forecasts for the next 24 periods demonstrate a stable projection, with predicted values converging around 2.5 and a narrow 95% confidence interval. These findings highlight the model's reliability and low uncertainty for the forecasted time frame. The application was successfully tested using the Black-Box method, confirming its functionality and effectiveness in supporting sales predictions.
Prediction of Shrimp Sales Using the ARIMA (AutoRegressive Integrated Moving Average) Method at UD Udang Makmur Peureulak Veri Ilhadi; Muliana Muliana; Zulfia , Anni; Ulya, Athiyatul; Sahputra , Ilham
Multica Science and Technology (ACCREDITED-SINTA 5) Vol. 4 No. 2 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i2.978

Abstract

UD. Udang Makmur is a shrimp farming business that often faces challenges in accurately predicting sales stock due to reliance on manual forecasting methods. This study aims to develop a web-based sales prediction application utilizing the AutoRegressive Integrated Moving Average (ARIMA) method. The application uses daily sales data from January to December 2023 for analysis. The results indicate that the ARIMA (2,1,1) model delivers accurate predictions, achieving a Mean Squared Error (MSE) of 0.264295. Forecasts for the next 24 periods demonstrate a stable projection, with predicted values converging around 2.5 and a narrow 95% confidence interval. These findings highlight the model's reliability and low uncertainty for the forecasted time frame. The application was successfully tested using the Black-Box method, confirming its functionality and effectiveness in supporting sales predictions.
Co-Authors - Fakhrurrazi Achmad Noerkhaerin Putra Aidilof, Hafizh Al Kautsar Akbar, Jamalul Amanda, Diana Andrian, Deny Angelina, Difa Angga Pratama Angga Pratama ANNISA KARIMA Ardiansyah, Danil Arief Arief Rahman Arief Rahman Arif, Abdul Halim Arif, Rijalul Arifa, Tiara Minda Asran Asran Ayu Widari, Lis Bukhari, Fiona Burhanuddin Burhanuddin Chairil Anwar Cut Agusniar EDI YUSUF, EDI Edo Prandahlan Eka Rahma Emi Maulani Ezwarsyah Ezwarsyah F Saragih, Annisa Fakhruddin Ahmad Nasution Fakhrurrazi Hidayat, Amam Taufiq Ilham Sahputra Irma Yurni Irvan Na’syakban Irwansyah, Defi Jamalul Aqmal Khaira, Miftahul Khairul Amna, Khairul Kurniasi, Arni Astuti lia melani, lia Liza Afra Maulidin, Muhammad Misbahul Jannah Muhammad Gaffar Kamata MUHAMMAD HABIB Muhammad Muhammad Muharram, Rachmad Muliana Muliana Munirul Ula Mutammimul Ula MUTHMAINNAH Muthmainnah Muthmainnah Muthmainnah Muthmainnah Nazariah, Cut Pandiana, Annisa Rachmad Muharram Rahma Fitria, Rahma Ridha Maulana Rizki Mela Kurnia Rizky Putra Fhonna Rosdiana Rosdiana Rosdiana Rosdiana Safwandi Safwandi Sahputra , Ilham Sahputra, Ilham Salahuddin Salahuddin Salamah Saptari, Mochamad Ari Sari, Indah Maulida Sayed Fachrurrazi Selian, Riko Ardiansyah Sidek, Zailani Mohamed Siti Fatimatun Zahro Sujacka Retno Sukiman, T. Sukma Achriadi Syukriah Syukriah Syukriah Syukriah, Syukriah Teuku M. Arief Afwan Ulya, Athiyatul Wahyu Fuadi Yesy Afrillia Yulisda, Desvina Yurni, Irma Zailani Mohamed Sidek Zalfie Ardian Zohra, Siti Fatimah A Zuhra, Amna Zulfia , Anni