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All Journal Teknika Journal of Tropical Horticulture JURIKOM (Jurnal Riset Komputer) Indomera : Jurnal Magister Manajemen International Journal of Engineering, Science and Information Technology Jurnal Investasi Islam Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Algoritma Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan Jurnal Teknologi Terapan and Sains 4.0 Jurnal Inovatif Wira Wacana Journal Of Artificial Intelligence And Software Engineering Jurnal Malikussaleh Mengabdi
Safwandi Safwandi, Safwandi
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The Application of Biofertilizer on Growth And Yield of Melon Varieties (Cucumis Melo L.) Safwandi, Safwandi; Hanani, Fadli; Yusuf N, Muhammad; Jamidi, Jamidi; Hafifah, Hafifah; Ismadi, Ismadi
Journal of Tropical Horticulture Vol 4, No 2 (2021): October 2021
Publisher : Yayasan Pertanian Tropika Indonesia (YPTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33089/jthort.v4i2.65

Abstract

Melon (Cucumis melo L.) is one of potential horticultural crop in Indonesia. Unfortunately, melon production is currently unable to meet national demand. The objective of this study was to investigate the effect of biofertilizer, varieties and interaction between the dose of biofertilizer and varieties on the growth and yield of melons. The study was conducted in January-April 2021 at Paloh Lada Village, Dewantara District and the Laboratory of Agriculture Faculty, Universitas Malikussaleh. These experiments were arranged in a Factorial Randomized Block Design (RBD) with two factors. The first factor was biofertilizer (P) consisting of 4 levels: P0 (0 ml/L), P1 (5 ml/L), P2 (10 ml/L) and P3 (15 ml/L) and the second factor was melon varieties (V): V1 (F1 Pertiwi Anvi) and V2 (F1 Action 88). There was 8 treatment combinations with 3 replications, resulted in 24 experimental units. The interaction between biofertilizers and varieties gave significant effect on the growth and yield of melon, while the interactions between bio fertilizer did not differ on all variables observed. The application of biological fertilizer 10 ml/L on V1 variety (F1 Pertiwi Anvi) is recommendable. There was an interaction between of biological fertilizers and melon varieties on the total dissolved solids (Brix %).
PENGARUH SERVANT LEADERSHIP, DISIPLIN KERJA DAN KEPUASAN KERJA TERHADAP KINERJA GURU SD NEGERI DI WILAYAH PEUSANGAN KABUPATEN BIREUEN Safwandi, Safwandi; Konadi, Win
IndOmera Vol 4 No 7 (2023): indOmera, Maret 2023
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55178/idm.v4i7.362

Abstract

This study aims to determine the effect of Servant Leadership, Teacher Work Discipline and Job Satisfaction both partially and simultaneously on teacher performance. The research was in the form of a survey of a sample of 226 public elementary school teachers in the Peusangan area of ​​Bireuen Regency. This type of quantitative research was carried out using descriptive and associative analysis, with a path analysis model approach. The results of the path analysis show, 1) the Servant Leadership factor has a direct effect of 0.472 on teacher performance, 2) the teacher discipline factor has a direct effect of 0.312 on teacher performance, 3) the job satisfaction factor has a direct effect of 0.214 on teacher performance, 4) The servant leadership factor through discipline and teacher job satisfaction have an effect of 46.75% on teacher performance, 5) Work discipline factors through servant leadership and job satisfaction have an effect of 32.6% on teacher performance, 6). The Job Satisfaction Factor through Servant Leadership and Work Discipline influences Teacher Performance by 26.56%. 7) Simultaneously servant leadership, work discipline and job satisfaction contribute to changes in teacher performance by 57.9%. While the remaining 42.1% is influenced by other factors not examined, researchers suspect from the aspects of work motivation, teacher competence, work environment and others.
Sistem Informasi Geografis Pemetaan Salon Untuk Rekomendasi Di Provinsi Aceh Menggunakan Metode Simple Additive Weighting Safwandi, Safwandi; Safira, Mela; Razi, Ar
Jurnal Inovatif Vol. 3 No. 3 (2024): Desember 2024
Publisher : Universitas Kristen Wira Wacana Sumba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58300/inovatif.v3i3.956

Abstract

Salon service providers are companies that provide hair, facial, body and other beauty treatments to the public. Many people are currently doing business in this field, and many business people are opening salons in various locations, starting from city areas and densely populated village areas. In Aceh Province there are 200 salons. The benefit of this application is that it can identify the recommended salons for each city/district and the shortest route to the salon that the service user will go to. In the initial stage, spatial data on salons in Aceh Province was collected and entered into a geographic database. The weights of relevant criteria such as service quality, price, location, sanitation cleanliness, and customer service are determined using the SAW method. After that, SAW is used to calculate the total score for each salon based on these criteria. Salons are then ranked by highest total score to provide recommendations that match user preferences. Next, Dijkstra's algorithm is used to determine the shortest route between the user's location and the selected salon. This helps users to plan trips efficiently and save time. The implementation of GIS and algorithms is integrated in the form of a website to facilitate access and use by the general public. Users can easily find the best salon based on their selection criteria, as well as get optimal directions. It is hoped that this research can contribute to advancing the salon industry in Aceh Province by providing practical and effective solutions for the public in choosing a salon that suits the community's needs.
SISTEM PENDETEKSI POLA FIIL MUDHARIK PADA KITAB MATAN TAQRIB MENGGUNAKAN METODE COSINE Fadlisyah, Fadlisyah; Safwandi, Safwandi
Jurnal Teknologi Terapan and Sains 4.0 Vol 1 No 3 (2020): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v1i3.3270

Abstract

Kitab matan taqrib merupakan salah satu kitab fiqh mazhab Imam Syafii yang mana dalam kitab ini mencakup semua bab yang ada dalam kitab fiqh lainnya namun pada kitab ini pembahasannya dijelaskan secara ringkas, karena kitab ini merupakan kitab fiqh yang dipelajari pada tingkatan yang pertama. Fiqh merupakan salah satu bidang ilmu dalam syariat Islam yang secara khusus membahas persoalan hukum yang mengatur berbagai aspek kehidupan manusia, baik kehidupan pribadi, bermasyarakat maupun kehidupan manusia dengan Tuhannya. Sebagai ummat islam kita dituntut untuk  megetahui hukum-hukum syariat, agar  ibadah kita diterima oleh Allah Taala, kita tidak dapat memahami ilmu fiqh  kecuali setelah mengetahui kaidah-kaidah bahasa Arab, khusus nya ilmu Nahwu dan Sharaf. Namun yang akan di bahas disini ialah mengenai ilmu Nahwu. Oleh karena itu, sistem pendeteksi pola fiil Mudharik diperlukan untuk membantu pengguna menemukan pola-pola fiil mudharik dalam  Kitab Matan Taqrib. Dalam penelitian ini, Metode Cosine Similarity digunakan untuk menghitung  jarak kemiripan pola fiil mudharik pada citra Kitab Matan Taqrib. Dari hasil pengujian yang telah dilakukan, persentase keberhasilan data uji dimana untuk  Bab Puasa   100%  dan persentase untuk Bab Thaharah  adalah  78,79%. Persentase detection rate tersebut menunjukkan bahwa metode Cosine dapat digunakan sebagai salah satu pendekatan untuk pendeteksian pola Fiil Mudharik pada citra Kitab Mata Taqrib. Sistem ini memiliki beberapa kelemahan yaitu memiliki false positive rate yang tinggi, sebagaimana dapat dilihat pada unjuk kerja dari sistem pendeteksi pola fiil mudharik ini, proses keakurasiannya dapat dilakukan dengan memberikan pelatihan lebih lanjut dengan tambahan data training yang lebih banyak dan lebih bervariasi. Walaupun begitu, sistem pengenalan pola fiil mudharik  ini tidak menafikan pentingnya guru dalam belajar  ilmu nahwu yang benar.Kata kunci : Pengolahan Citra, Kitab Matan Taqrib, Pola Fiil  Mudharik, Cosine Similarity
ANALISIS PERANCANGAN SISTEM INFORMASI SEKOLAH MENENGAH KEJURUAN 1 GANDAPURA DENGAN MODEL DIAGRAM KONTEKS DAN DATA FLOW DIAGRAM Safwandi, Safwandi
Jurnal Teknologi Terapan and Sains 4.0 Vol 2 No 2 (2021): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v2i2.4724

Abstract

Pembuatan aplikasi ini bertujuan untuk menunjang dan mempermudah sistem informasi pada sekolah menengah kejuruan negeri 1 gandapura. Sistem ini dikembangkan dengan menggunakan bahasa pemrograman PHP, Jquery dan MySQL dan disertai dengan menggunakan database yang disesuaikan dengan kebutuhan dalam proses perancangan sistem ini. Adapun hal yang terdapat dalam sistem ini meliputi berbagai  informasi seperti informasi data siswa, data guru, data sekolah, data master, jadwal pelajaran, pengguna sistem, wali kelas, peserta didik dan masukan. Untuk perancangannya menggunakan metode terstruktur yang menggunakan Diagram Konteks, DFD sebagai alat bantu untuk merancang Perancangan Aplikasi ..  Kata Kunci”Sistem Informasi sekolah,PHP,my SQL
PERANCANGAN DATABASE PADA SISTEM ASESSMEN DAN PEMETAAN HASIL ASESSMEN BERBASIS TAG SEBAGAI PEMBANTU PENYUSUNAN STRATEGI PEMBELAJARAN Safwandi, Safwandi
Jurnal Teknologi Terapan and Sains 4.0 Vol 2 No 3 (2021): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v2i3.5770

Abstract

Sistem Penilaian dan Pemetaan Hasil Penilaian Berbasis Tag adalah sistem berbasis online yang bertujuan untuk membantu guru dan siswa dalam mencatat dan memetakan hasil penilaian untuk masuk perguruan tinggi. Informasi dari pencatatan dan pemetaan ini sangat berguna dalam membantu penyusunan strategi pembelajaran dan strategi menghadapi ujian selanjutnya. Untuk mendukung sistem penilaian ini diperlukan suatu perancangan database. Dalam perancangan basis data, perancangan dibagi menjadi 4 tahap yaitu Pengumpulan dan Analisis Data, Perancangan Basis Data Konseptual, Perancangan basis data Logis, dan Perancangan Basis Data Fisik. Perancangan database konseptual mencakup siapa saja yang terlibat dalam sistem, input apa yang diperlukan, dan informasi (output) apa yang diinginkan dari database. Sedangkan pada perancangan basis data logis, meliputi penentuan Entitas dan atribut, penentuan primary key, Entity Relationship Diagram (ERD). Pada perancangan fisik, meliputi konversi ERD ke bentuk tabel, normalisasi dan implementasi ke dalam bentuk tabel yang dibuat pada MS SQL Server. Dari perancangan database menghasilkan tabel tanpa anomali, yaitu tabel Eye, Student, Teacher, Testing, Problem, StandardValues, Tag, Groups, GrupMember, Member, EventUjian, Nilai, NomorSoal, PesertaUjian, Clipbooard, dan OnGoingExam
Klasifikasi Varietas Kopi Berdasarkan Kondisi Tanah dan Suhu Menggunakan Algoritma Gaussian Naïve Bayes Riza, Fahrur; Safwandi, Safwandi; Fadlan, Said
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.2311

Abstract

This research aims to classify the most suitable coffee varieties grown in the Bener Meriah region based on environmental factors such as soil pH, altitude from sea level (masl), and temperature. The method used is Gaussian Naïve Bayes, a probability-based classification technique that assumes that the input features are normally distributed and mutually independent. This method is relevant because it is able to handle numerical data efficiently. The results showed that the classification accuracy reached 45.7%, with a high precision value in the Gayo 3 class of 0.60%. Although the results are not yet optimal, the method shows potential in predicting the suitability of coffee varieties based on the analyzed environmental parameters.
Implementation of the Simple Additive Weighting Algorithm for Café Recommendations in Lhokseumawe City Arkan, Raihan; Safwandi, Safwandi; Ar Razi, Ar Razi
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.885

Abstract

The selection of cafés that match customer preferences is a challenge, especially in the city of Lhokseumawe, which has 30 cafés with different characteristics. This research implements the Simple Additive Weighting (SAW) algorithm to provide recommendations for the best café based on six criteria, namely price (weight 0.25), menu (0.2), order duration (0.15), service (0.2), facilities (0.15), and discounts promotions (0.05). The recommendation system was developed using a combination of Laravel PHP and Python, where Laravel is used to build an interactive web interface. Python also plays a role in data processing and complex mathematical calculations. The results showed that the system was able to provide optimal recommendations, with Petrodollar Coffeeatery Roastery as the top choice based on the calculation of the highest preference values (3.28 for price, 2.48 for menu, 3.16 for order duration, 2.88 for service, 2.96 for facilities, and 2.8 for discounts promotions). TR Coffee and Platinum Coffee occupy the following positions. In addition, this study found that the weight of the criteria and the number of datasets (150 reviewers) significantly influence the quality of recommendations. The more representative the weights used and the larger the dataset analyzed, the more accurate the system will produce recommendations based on user preferences. Thus, weight optimization and dataset expansion are essential factors in improving the effectiveness of SAW-based recommendation systems.
Application of Data Mining with the Least Square Meth-od to Predict Web-Based Drug Inventory Halim, Abdul; Safwandi, Safwandi; Fajriana, Fajriana
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.897

Abstract

Drug supplies are an important aspect because of their large value and large quantity and are an important factor in supporting health services in community health centers. Ineffective drug management, especially in terms of needs planning, can lead to excess or shortage of stock. Both conditions have negative impacts, such as budget waste, drug expiration, or even disruption of patient services due to unavailability of drugs. At the Pante Bidari Health Center UPTD, the drug needs planning process is still carried out manually or based on rough estimates without using sophisticated technology. This study aims to design and build a web-based drug inventory prediction system using the Least Square method. The Least Square method was chosen because it is able to carry out the forecasting process quickly and with good results. In this study, the type of data obtained is drug usage data, data is grouped based on each supplier, from the health center information system during a certain period. After going through the pre-processing and calculation stages, the predicted values are calculated and displayed through a web-based system designed to be easy to use by health center officers. The web system developed in this study uses PHP as the programming language and MySQL as the database, implementing the Least Square method effectively. The results of this study are a drug usage prediction application for the future, applying the Least Square method, which displays drug usage data over a certain period. The system will present the data in the form of a table. Based on testing the drug usage data for Acyclovir Cream 5 mg from January 2023 to August 2024, the prediction result for the following month, September 2024, is estimated to be 38.415, which is rounded to 38 units of the drug.
Implementasi Metode WASPAS dalam Menentukan Bidang Keilmuan Perguruan Tinggi Berdasarkan Minat dan Bakat Siswa SMKN 1 Lhokseumawe Pulungan, Fauzi Irham; Safwandi, Safwandi; Rosnita, Lidya
TEKNIKA Vol. 19 No. 2 (2025): Teknika Mei 2025
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15522494

Abstract

Pemilihan bidang keilmuan di perguruan tinggi merupakan keputusan penting bagi siswa. Penelitian ini menggunakan metode Weighted Aggregated Sum Product Assessment (WASPAS) dalam Sistem Pendukung Keputusan (SPK) untuk menentukan bidang keilmuan perguruan tinggi siswa SMKN 1 Lhokseumawe berdasarkan minat dan bakat yang diperoleh dari angket. WASPAS menggabungkan pendekatan penjumlahan dan perkalian untuk mengolah data dan menghasilkan rekomendasi ke bidang Sains dan Teknologi (SAINTEK) atau Sosial Humaniora (SOSHUM). Kriteria yang di gunakan sebanyak 20 kriteria dan kriteria yang di gunakan berupa 20 pernyataan dari angket minat dan bakat. Setiap kriteria diberi bobot, dan perhitungan nilai Qi digunakan sebagai dasar rekomendasi. Hasil pengujian menunjukkan bahwa sistem mampu memberikan rekomendasi yang sesuai, dengan 123 siswa (61%) direkomendasikan ke bidang SAINTEK dengan nilai Qi terbesar 0,95 dan 77 siswa (39%) ke bidang SOSHUM dengan nilai Qi terkecil 0,49. Penelitian ini membuktikan bahwa metode WASPAS efektif dalam memilih bidang keilmuan perguruan tinggi yang sesuai dengan minat dan bakat mereka, sehingga dapat menjadi acuan dalam pengambilan keputusan akademik.
Co-Authors A Halim Aan Komariah Altharizka, Muhammad Aldonny Anda, Asri Ar Razi, Ar Razi Arkan, Raihan Asep Suryana Asmaul Husna bin Mustafa, Fakhrizal Bustami Bustami Dahlan Abdullah Diana Diana eva darnila, eva darnila Fadlan, Said Fadlisyah Fadlisyah Fajriana, Fajriana Hafifah, Hafifah Hanani, Fadli Ismadi Ismadi Jamidi, Jamidi Lidya Rosnita Mardhatillah, Mardhatillah Maulida, Yenni Misbahul Jannah Muhammad Ikhwanus Mukti Qamal Muthmainnah Muthmainnah Nur Faliza Prihatin, Eka Pulungan, Fauzi Irham Putri, Rizki Amelia raihan, Annisa Ramadandi Isni Razi, Ar Riza, Fahrur Rizki Suwanda Rusnanda, Resky Safira, Mela Sahputra, Ilham Sujacka Retno Win Konadi Yusuf N, Muhammad Zahratul Fitri, Zahratul Zulfia , Anni