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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Rambideun : Jurnal Pengabdian Kepada Masyarakat Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen
Tjut Adek, Rizal
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Public Health Social Sciences

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Pencarian Kemiripan Judul Tugas Akhir Mahasiswa Dengan Menggunakan Metode Single Linkage Hierarchical Tjut Adek, Rizal; Jannah, Miftahul
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 8 No 2 (2018): September 2018
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (416.011 KB) | DOI: 10.33020/saintekom.v8i2.69

Abstract

Pencarian kemiripan judul tugas akhir berdasarkan tema pada jurusan teknik informatika menggunakan metode single linkage hierarchical adalah suatu metode untuk mengetahui kemiripan atau kedekatan abstrak dan judul tugas akhir antara input yang dimasukkan admin dengan abstrak dan judul tugas akhir yang sudah dikerjakan atau sudah ada pada jurusan teknik informatika Universitas Malikusssaleh dengan teknik clustering. Pada data - data abstrak tugas akhir yang sudah dikerjakan atau sudah ada dilakukan proses clustering dengan menggunakan Single Linkage Hierarchical Method (SLHM) sampai terbentuk enam buah cluster sesuai dengan bidang yang ada pada jurusan teknik informatika. Kemudian input yang sudah ada melewati proses text mining dengan enam cluster yang terbentuk. Selanjutnya dilakukan proses pencocokan antara data uji atau data baru dengan data yang sudah ada dengan anggota - angggota dari cluster. Data - data yang digunakan untuk membentuk data clustering adalah data abstrak tugas akhir teknik informatika Universitas Malikussaleh tahun 2010 - 2015, sedangkan abstrak yang diinputkan merupakan abstrak baru untuk mengetahui asbtrak tersebut termasuk kedalam kategori mana berdasarkan clustering yang sudah ada didalam database. Hasil dari percobaan 60 data uji abstrak persentase keberhasilan kecocokan pada kategori multimedia sebesar 100%, kategori pemograman sebesar 100%, kategori pengolahan citra sebesar 87,5%, kategori pengenalan pola sebesar 11,11%, sedangkan pada kategori jaringan dan data mining tidak ditemukan kecocakan. Dan pada halaman user, hasil berupa judul tugas akhir yang ada pada database berdasarkan dengan tema judul tugas akhir yang diinputkan oleh user.
PERANCANGAN DESAIN JARINGAN FIBER OPTIK DENGAN TEKNOLOGI GIGABIT PASSIVE OPTICAL NETWORK DI UNIVERSITAS MALIKUSSALEH Tjut Adek, Rizal; Yunizar, Zara; Maha, Dedi Torang P; Fajriana, Fajriana
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 12 No 2 (2022): September 2022
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v12i2.305

Abstract

Optical fiber is a transmission line that uses glass fibers to transmit light signals from one place to another. Research on FTTH (Fiber To The Home) and FTTB (Fiber To The Building) with GPON (Gigabit Passive Optical Network) carried out on the Malikussaleh University campus by following ITU-T standards. The design process begins with Google Earth mapping, then calculates the feasibility of attenuation, rise time, power link budget, and performs simulations on the Cisco Packet Tracer. Based on the results of the design, the farthest ODP attenuation simulation value is -19,339 dBm and the manual calculation value is 19.2854 dBm, the value meets the ITU-T standard greater than -28 dBm and Telkom is greater than -27 dBm with a power transmitter of 5 dBm, the value of rising Time Budget based on the feasibility of the system, the NRZ limit of 70% or 0.2916ns at the nearest ODP of 0.25 ns and the farthest ODP of 0.2558 ns which can be used because it does not exceed the NRZ limit. Cisco packet router simulation using 3 servers pt, 3 routers, 6 switches, 20 Hups, 20 access points.
INCREASING THE EFFECTIVENESS OF WEBGIS-BASED VILLAGE IRRIGATION NETWORK MANAGEMENT IN GAMPONG KEUTAPANG KEC. NISAM, DISTRICT NORTH ACEH Zara Yunizar; Muthmainnah; Nura Usrina; Mukhlis; Zainal, Zalfie Ardian; Tjut Adek, Rizal; Maizuar
RAMBIDEUN : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 1 (2025): Rambideun : Jurnal Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Al Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/pkm.v8i1.3053

Abstract

Keutapang Village is located in Nisam District, North Aceh Regency, Aceh Province with a village area of 123.4 ha. This village has 120 ha of agricultural land and rice as the main commodity, but the productivity of the planting season and harvest cannot be maximized due to the lack of irrigation that has been built, thus it is necessary to increase the effectiveness of irrigation management by mapping irrigation as information for village irrigation development planning. The rural irrigation map contains information on the location, situation and condition of irrigation, and the priority scale for improving the WEBGIS-based network. The purpose of this community service activity was to produce a village irrigation network map and educate village officials in increasing the effectiveness of irrigation network management through WEBGIS-based mapping. The mapping stages included measurement surveys using GPS, digitizing the surface of the area through Google Earth, depicting the layout with the AutoCAD application and making maps with QGIS/ArcGIS software. This community service activity in Keutapang Village, Nisam District produced informative and attractive village irrigation geospatial maps. The result of this activity is a digital irrigation map whose printout is submitted to the village officials. It is hoped that this map can be published and used as a basis for future sustainable village development planning.
Performance Comparison of Double Exponential Smoothing and Long Short-Term Memory for Population Forecasting Diwana, Revi; Tjut Adek, Rizal; Fajriana, Fajriana
Journal of Applied Informatics and Computing Vol. 10 No. 5 (2026): October 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i5.13732

Abstract

Population forecasting is essential for supporting regional development planning and the effective allocation of public services. However, comparative studies evaluating statistical and deep learning approaches for sub-district population forecasting based on limited historical data are still scarce. This study compares the performance of Double Exponential Smoothing (DES) and Long Short-Term Memory (LSTM) for forecasting the population of 17 sub-districts in Bireuen Regency using annual population data from 2015 to 2024, with forecasts generated until 2027. The dataset was divided chronologically using a time-based split to preserve temporal dependencies, and forecasting accuracy was evaluated using the Mean Absolute Percentage Error (MAPE). Experimental results show that DES achieved lower forecasting errors in most sub-districts, with MAPE values ranging from 1.61% to 4.48%, whereas LSTM produced MAPE values between 1.56% and 7.55%, outperforming DES only in a few sub-districts, such as Peusangan Selatan. In terms of computational efficiency, DES required approximately 0.0007–0.0008 MB of memory and 0.00–1.48 ms processing time, whereas LSTM required 0.0102–0.0118 MB of memory and up to 162.24 ms processing time. The forecasting results indicate a generally increasing population trend across most sub-districts through 2027. These findings suggest that DES is more suitable than LSTM for forecasting annual population data with relatively stable trends and limited historical observations, whereas LSTM may be more appropriate for larger datasets exhibiting more complex temporal patterns. The developed web-based forecasting system provides visualization and forecasting results to support evidence-based population planning in Bireuen Regency.
Co-Authors Diwana, Revi Fajriana, Fajriana Maha, Dedi Torang P Maizuar Maizuar Miftahul Jannah Mukhlis MUTHMAINNAH Nura Usrina Zalfie Ardian Zara Yunizar