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All Journal Jurnal Sistem Informasi Kaputama (JSIK) JTIK (Jurnal Teknik Informatika Kaputama) Brahmana : Jurnal Penerapan Kecerdasan Buatan Indonesian Journal of Interdisciplinary Research in Science and Technology (MARCOPOLO) Jurnal ICT : Information and Communication Technologies
Harahap, Ahir Yugo Nugroho
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science Mechanical Engineering Social Sciences

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SISTEM PENUNJANG KEPUTUSAN KENAIKAN JABATAN KARYAWAN PADA PT.AYN DENGAN MENERAPKAN BAHASA PEMROGRAMAN JAVA Harahap, Ahir Yugo Nugroho
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 4 No. 2 (2020): Volume 4, Nomor 2, Juli 2020
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v4i2.726

Abstract

Decision Support Systems (SPK) are designed to support all stages of decision making starting from identifying problems, selecting relevant data, determining the approach used in the decision making process, to evaluating alternative choice
SISTEM PENUNJANG KEPUTUSAN KELULUSAN SISWA PADA SMK LAKSAMANA MARTADINATA DENGAN MENERAPKAN BAHASA PEMROGRAMAN JAVA Harahap, Ahir Yugo Nugroho
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 4 No. 1 (2020): Volume 4, Nomor 1, Januari 2020
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v4i1.755

Abstract

Sistem Penunjang Keputusan (SPK) dirancang untuk mendukung seluruh tahap pengambilan keputusan mulai dari mengidentifikasi masalah, memilih data yang relevan, menentukan pendekatan yang digunakan dalam proses pengambilan keputusan, sampai mengevaluasi pemilihan alternative
SISTEM PENUNJANG KEPUTUSAN KENAIKAN GOLONGAN PADA SMA LAKSAMANA MARTADINATA DENGAN MENERAPKAN BAHASA PEMROGRAMAN JAVA Harahap, Ahir Yugo Nugroho
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 3 No. 2 (2019): Volume 3, Nomor 2, Juli 2019
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v3i2.774

Abstract

Sistem Penunjang Keputusan (SPK) dirancang untuk mendukung seluruh tahap pengambilan keputusan mulai dari mengidentifikasi masalah, memilih data yang relevan, menentukan pendekatan yang digunakan dalam proses pengambilan keputusan, sampai mengevaluasi pemilihan alternative.
PENERAPAN METODE WEIGHTED PRODUK PEMILIHAN SISWA TERBAIK DI SMK LAKSAMANA MARTADINATA MEDAN Harahap, Ahir Yugo Nugroho
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 3 No. 1 (2019): Volume 3, Nomor 1, Januari 2019
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v3i1.778

Abstract

Siswa terbaik adalah siswa yang memiliki sifat dan kemampuan belajar dengan baik. Proses pemilihan siswa terbaik sangatlah sulit di lakukan bagi pihak sekolah dikarenakan kurangnya informasi dan pengetahuan tentang siswa terbaik.
PENERAPAN METODE WEIGHTED PRODUK PEMILIHAN SET PERALATAN PANEN KARET DI PT.ASAHAN COUMB RUBBER Harahap, Ahir Yugo Nugroho
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 2 No. 2 (2018): Volume 2, Nomor 2, Juli 2018
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v2i2.787

Abstract

Peralatan panen adalah sebuh alat yang sangat dibutuhkan seorang petani khususnya petani karet untuk membantu petani melakukan pekerjaannya. Proses pemilihan peralatan panen karet sangatlah sulit di lakukan bagi petani dikarenakan kurangnya informasi dan pengetahuan tentang peralatan karet.
Penerapan Metode Behaviorally Anchored Rating Scale Dalam Penilaian Kinerja Guru SMK Pab 8 Sampali Berbasis Web Ginting, Erwin; Wahyuni, Linda; Fahrozi, Wirhan; Adhar, Deni; Harahap, Ahir Yugo Nugroho
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 6, No 1 (2024): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v6i1.534

Abstract

A teacher is the spearhead of educational progress, not only at the elementary, middle and high school levels. Teacher expertise and performance are important things that really need to be observed and evaluated, so that the learning provided to students can run well. As computer/internet-based technology develops, it is very possible to implement teacher performance assessments using an online/online application so that it is easier to evaluate and assess, in formulating teacher assessments requires a benchmark/ measurement in this case the Behaviorally Anchored Rating Scale method. which is very appropriate to be applied in assessing teacher performance at the SMK PAB 8 Sampali
SISTEM INFORMASI DATA NASABAH PADA KSU KARYA MANDIRI BERBASIS WEBSITE Harahap, Ahir Yugo Nugroho
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 2 No. 2 (2018): Volume 2, Nomor 2, Juli 2018
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v2i2.657

Abstract

Dalam perkembangan teknologi sekarang ini semua sudah melakukan pekerjaan dengan menggunakan teknologi, tapi masih banyak yang belum menggunakan media teknolgi sehingga pekerjaan sering terlamabat dan banyak kesalahan dalam pekerjaan. Banyak perusahaan yang belum menggunakan teknologi sehingga perusahaan tersebut mengalami kesulitan yaitu dalam bidang penginputan data nasabah..Pada era ini untuk penginputan data nasabah sudah mengalami kemajuan yang pesat sehingga perusahaan dapat melakukan pekerjaan dengan baik dan mengurangi kesalahan dalam penginputan data nasabah.
Evaluation of Product Sales Data Using Clustering Method and Hierarchical Divisive Clustering at PT.AYN Harahap, Ahir Yugo Nugroho; Sari, Ria Eka; Gunawan, Heri; Nasution, Adnan Buyung
Indonesian Journal of Interdisciplinary Research in Science and Technology Vol. 2 No. 7 (2024): July 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/marcopolo.v2i7.10442

Abstract

Data Mining, focusing on the Hierarchical Divisive algorithm, can provide a solution for PT.AYN in overcoming the problem of unifying and evaluating sales data, a company that sells various types of disposable tissues. This study aims to identify products that are in demand and less in demand and to group sales data based on company and product type. The results of this study provide valuable insights for evaluating sales data, understanding distributor purchasing trends, and supporting more effective stock planning, shipping, and marketing strategies. Through the application of the clustering method and the Hierarchical Divisive algorithm, this study offers an effective solution to optimize the use of sales data at PT.AYN, which has the potential to be a valuable asset in formulating long-term business strategies. The conclusion of this study is that the Clustering method and the Hierarchical Divisive algorithm can be used to solve problems in grouping sales data based on various factors, including region and product type, and can assist in developing better marketing strategies.
Application of the Fuzzy Time Series (FTS) Method to Estimate the Increase in Stunting at the North Sumatra BKKBN Manurung, Elisabet Diadora; Harahap, Ahir Yugo Nugroho
Jurnal ICT : Information and Communication Technologies Vol. 16 No. 2 (2025): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v16i2.283

Abstract

Stunting is one of the chronic nutritional problems that remains a major concern in Indonesia, particularly in North Sumatra Province. This condition occurs due to prolonged nutritional deficiencies that affect children’s physical growth and cognitive development. The National Population and Family Planning Agency (BKKBN) of North Sumatra plays an essential role in monitoring and reducing stunting rates. However, the prediction methods currently used are still conventional and have not utilized modern predictive technologies. As a result, the forecasting accuracy is often low because stunting data tends to be fluctuating and influenced by various dynamic factors. This study aims to apply the Fuzzy Time Series (FTS) method to predict the increase in stunting cases at BKKBN North Sumatra. The FTS method is selected because it can handle data uncertainty and non-linear patterns, making it more effective in recognizing trends in stunting cases over time. The data used in this study were obtained from BKKBN North Sumatra, consisting of the number of stunting cases in 2023 and 2024 across 33 districts and cities. The research stages include data collection, fuzzification, fuzzy relation formation, defuzzification, and the implementation of the results into a web-based application using PHP programming and MySQL as the database. The results show that the Fuzzy Time Series method can effectively predict the upward and downward trends of stunting cases, where 16 districts/cities experienced an increase and 17 districts/cities experienced a decrease in stunting numbers for the following year. The developed system helps BKKBN analyze data more quickly, accurately, and efficiently. Therefore, the application of the Fuzzy Time Series method proves to be effective as a decision-support tool for planning prevention and mitigation programs for stunting in North Sumatra.
Co-Authors adhar, Deni Ginting, Erwin Heri Gunawan Manurung, Elisabet Diadora Nasution, Adnan Buyung Ria Eka Sari, Ria Eka Wahyuni, Linda Wirhan Fahrozi, Wirhan