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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknologi Informasi dan Ilmu Komputer POSITIF Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING JTAM (Jurnal Teori dan Aplikasi Matematika) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Sisfokom (Sistem Informasi dan Komputer) METIK JURNAL Vocatech : Vocational Education and Technology Journal JOURNAL OF INFORMATICS AND COMPUTER SCIENCE Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Tika JURNAL ILMIAH GLOBAL EDUCATION Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Minfo Polgan (JMP) TECHSI - Jurnal Teknik Informatika Jurnal Teknologi Terapan and Sains 4.0 Jurnal Bangun Abdimas Variasi : Majalah Ilmiah Universitas Almuslim MEUSEURAYA : JURNAL PENGABDIAN MASYARAKAT Journal of Advanced Computer Knowledge and Algorithms Serambi Engineering Jurnal Elektro dan Teknologi Informasi Bulletin of Engineering Science, Technology and Industry
Zara Yunizar
Universitas Malikussaleh
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Clustering Village Zones Based On Nutritional Status of Toddlers Using The K-Medoids Method Amelia, Ulva; Yunizar, Zara; Rosnita, Lidya
VOCATECH: Vocational Education and Technology Journal Vol 7, No 1 (2025): August
Publisher : Akademi Komunitas Negeri Aceh Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38038/vocatech.v7i1.223

Abstract

AbstractIn order to improve the effectiveness of nutrition intervention planning in the operational area of the Kuta Blang Health Center, this study aims to develop a village zoning model based on the nutritional status of toddlers using the K-Medoids algorithm. The primary data includes the distribution of nutritional statuses (good, overnutrition, undernutrition, severe malnutrition, obesity) from 41 villages collected during the January–December 2023 period. Data were normalized and processed using a web-based system developed in PHP and MySQL. The clustering process resulted in five zones: Green (optimal nutrition), Yellow (within acceptable limits), Orange (requires monitoring), Red (worst condition), and Purple (critical challenges). Field validation showed strong alignment between clustering results and real conditions. This study concludes that the K-Medoids method can accurately group villages based on nutrition data and produce a practical zoning map. The resulting zones allow for more efficient resource allocation and targeted intervention, especially in Red and Purple zones. Future improvements may include incorporating socioeconomic and healthcare access variables for more comprehensive analysis. AbstrakDalam rangka meningkatkan efektivitas perencanaan intervensi gizi di wilayah kerja Puskesmas Kuta Blang, penelitian ini bertujuan untuk mengembangkan model zonasi desa berdasarkan status gizi balita menggunakan algoritma K-Medoids. Data primer meliputi distribusi status gizi balita (gizi baik, gizi lebih, gizi kurang, gizi buruk, obesitas) dari 41 desa yang dikumpulkan selama periode Januari–Desember 2023. Data tersebut dinormalisasi dan diolah dalam sistem berbasis web menggunakan bahasa pemrograman PHP dan database MySQL. Proses klasterisasi menghasilkan lima zona: Hijau (gizi optimal), Kuning (masih dalam batas wajar), Oranye (perlu pemantauan), Merah (terburuk), dan Ungu (tantangan signifikan). Validasi lapangan menunjukkan kesesuaian tinggi antara hasil klasterisasi dan kondisi nyata. Penelitian ini menyimpulkan bahwa metode K-Medoids mampu mengelompokkan desa secara akurat berdasarkan data gizi dan menghasilkan peta zonasi yang aplikatif. Zona yang dihasilkan memungkinkan alokasi sumber daya dan intervensi yang lebih terarah, khususnya pada zona Merah dan Ungu. Perbaikan di masa depan dapat mencakup integrasi variabel sosial ekonomi dan akses layanan kesehatan untuk analisis yang lebih komprehensif
Evaluating the Quality of Agglomerative Hierarchical Clustering on Crime Data in Indonesia Rizkya, Dini Dara; Retno, Sujacka; Yunizar, Zara
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.863

Abstract

This study evallualtes the quallity of ALgglomeraltive Hieralrchicall Clustering with single linkalge, complete linkalge, alveralge linkalge, alnd walrd linkalge on the daltalset of the number of criminall calses in Indonesial (20ll0ll0ll-20ll23). The analysis compares clustering performance on the original and normalized datasets using the Davies-Bouldin Index (DBI), Silhouette Score (SS), Normalized Mutual Information (NMI), Adjusted Rand Index (ARI), and Callinski-Harabasz Index (CH). The results showed that Ward Linkage provided the best clustering results, with the highest CH increasing from 65.826 to 66.873, clear cluster separation, and a stable structure (NMI = 0.5855, ARI = 0.6298). Single Linkage experienced a chaining effect, although it showed improvement in DBI from 0l.1793 to 0l.1765 and SS from 0l.6271 to 0l.640l0l, with NMI and ARI stable at 0l.4537 and 0l.5865, but CH decreased from 21.731 to 21.0l72. Complete Linkage was too aggressive in separating the data, shown by an increase in DBI from 0.5327 to 0.7116 and a decrease in SS from 0.6336 to 0.5830, although CH increased from 64.244 to 66.873. Average Linkage showed stable results, with NMI = 0l.6481 and ARI = 0l.7993 remaining, but a slight decrease in DBI from 0l.3874 to 0l.40l91, SS from 0l.6839 to 0l.6825, and CH from 42.358 to 40l.251. Data normalization generally helps to improve clustering quality by reducing the influence of feature scale differences. Several metrics showed improved cluster separation on normalized data, although the impact varied depending on the linkage method. Overall, Ward Linkage with normalization is recommended as the best method to produce more accurate clustering in Indonesia's crime data analysis. 
Monitoring dan Pengendalian Sistem Hidroponik Deep Flow Technique (DFT) Pada Tanaman Melon Menggunakan Metode Rule Based Berbasis Internet of Thinks Ridha, Ridha; Ula, Munirul; Yunizar, Zara
Jurnal Ilmiah Global Education Vol. 6 No. 3 (2025): JURNAL ILMIAH GLOBAL EDUCATION
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v6i3.4158

Abstract

Hydroponic cultivation offers an innovative solution to land limitations and supports sustainable agricultural practices. This study presents the design and implementation of an Internet of Things (IoT)-based monitoring and control system for melon cultivation using the Deep Flow Technique (DFT), enhanced with a rule-based decision-making method. The system integrates an ESP32 microcontroller with multiple sensors—including pH, temperature, TDS, and ultrasonic sensors—to monitor key parameters of the nutrient solution in real time. A rule-based algorithm is applied to automatically regulate system responses to environmental changes, such as imbalances in pH levels, nutrient concentration, and water height. The collected data is displayed through a web-based platform and Telegram notifications, enabling remote access and management. System functionality was tested under various simulated conditions to evaluate accuracy and responsiveness. The results demonstrate that the system effectively maintains the hydroponic environment within optimal ranges, promoting healthy melon growth. This implementation enhances efficiency in monitoring and control, and contributes to the advancement of smart farming technologies powered by IoT.
IMPLEMENTATION OF THE EDAS (DISTANCE FROM AVERAGE SOLUTION) ALGORITHM FOR CLASSIFICATION OF MID-RANGE SMARTPHONE RECOMMENDATIONS Irshad Ahmad Reshi; Dr M Rajeswari; Ramadhana Juseva; Wahyu Fuadi; Zara Yunizar
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 1 (2023): March
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i1.5

Abstract

This research aims to help people choose the best smartphones at affordable prices in the range of 2-5 million using the EDAS (DISTANCE FROM AVERAGE SOLUTION) method. Visual language modeling such as UML is used to input smartphone lists and judgments from experts or smartphone brand sales regarding features such as brand, type, 3G, 4G, 5G, battery, RAM, ROM, camera size, and others. The EDAS calculation process was carried out with 34 smartphone data samples from various brands such as VIVO, OPPO, Realme, Xiaomi, Samsung and Infinix which were taken from the GSM Arena API as the main source of data. To achieve this goal, visual language modeling is first carried out using UML (Unified Modeling Language) such as Class Diagrams, Use Case diagrams, and Activity diagrams. The concept of this application is to input a list of smartphones that interest the user and assess the specifications of the smartphone using the assessment of experts or parties experienced in selling and evaluating smartphones, such as assessments from sales of a smartphone brand. Weighting is also carried out by evaluating each specification such as brand, type, 3G, 4G, 5G, battery, RAM, ROM, camera megapixel size, telephoto, depth sensor, macro camera, monochrome camera, screen, screen type, processor, and processor type. Weighting is done on a scale from 0 to 10. Weighting from 0-10 is done to assess each specification. The results of the EDAS implementation are the 5 most recommended smartphones and the 5 least recommended smartphones. namely for the 5 most recommended smartphones Redmi 8 with a score of 1.2431, Infinix S5 Lite with a score of 1.2143, Infinix S5 with a score of 1.2143, Tecno i7 with a score of 1.1344 and Oppo F3 Plus with a score of 1.0397. also the least recommended smartphones are Infinix Zero 5 with a score of -2.0970, Redmi Note 7 Pro with a score of 0.2334, Vivo Z1 Pro with a score of 0.2628, LG W30 Pro with a score of 0.2922, Xiaomi Mi A3 with a score of 0.3120.
IMPLEMENTATION OF LONG SHORT TERM MEMORY (LSTM) ALGORITHM FOR PREDICTING STOCK PRICE MOVEMENTS OF LQ45 INDEX (CASE STUDY: BBCA 2017 – 2023 STOCK PRICE) Cindy Rahayu; Dahlan Abdullah; Zara Yunizar
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 2 (2023): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i2.6

Abstract

This research aims to implement the Long Short Term Memory (LSTM) algorithm in predicting the movement of LQ45 stock prices. In this study, historical data of BBCA stock prices were used as an example of LSTM method implementation. The development process of the stock price prediction application begins with the collection of historical data, which then undergoes a preprocessing stage for normalization. The data is divided into training and testing sets, and transformed into suitable sequences for LSTM model input. The LSTM model is trained using the backpropagation through time algorithm and tested using the testing data. The predicted results from the LSTM model are compared with the actual labels using RMSE and MAPE metrics. Once satisfactory predictions are obtained, they are stored in a database and presented to users in the form of graphs and comparison tables. The implementation of LSTM in this research demonstrates prediction accuracy with an error percentage below 6%, with MAPE of 5.4772% and RMSE of 6.658%. Furthermore, the implementation of LSTM in the developed application using the latest historical data also yields low error percentages, with MAPE ranging from 3.7763% to 5.8048% for various stock price features. In conclusion, the LSTM method can be used for predicting stock price movements with satisfactory accuracy, providing valuable information for investment decision-making.
SOSIALISASI PENINGKATAN KUALITAS PRODUKTIVITAS PANEN UDANG MELALUI PENGONTROLAN KADAR AIR BERBASIS IOT DI DESA KUALA CEURAPE Nunsina, Nunsina; Zuhra, Fatimah; Yunizar, Zara
RAMBIDEUN : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2024): Rambideun: Jurnal Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Al Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/pkm.v7i1.2417

Abstract

Pond water quality is the main factor for the survival and productivity of shrimp farming. Physical parameters such as temperature, salinity and water turbidity are the main indicators of pond water quality. Poor water quality can reduce appetite, growth rate, and increase the risk of disease in shrimp. To overcome this problem, an effective monitoring and control system is needed. The method used in implementing this community service activity covering observation, design and socialization of the use of IoT-based automatic water content control devices. The results showed that the device is effective in helping fishermen controlling water levels automatically, increasing efficiency and effectiveness. The technology used includes the Arduino Uno microcontroller, ultrasonic sensor, RTC, LCD, relay module, motor driver, and DC motor. This activity is expected to provide new knowledge for fishermen in increasing shrimp productivity and quality through automatic control of pond water.
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.
"WASTEAPP" Application Based on Android for Household Waste Self-Tracking Yunizar, Zara; Savira Ersa, Nanda; Ardian, Zalfie; Rusnani, Rusnani; Maulana Helmi, Fathan
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.327

Abstract

Rapid population growth has both a positive and a negative impact, such as an increase in household waste generation. This also becomes a new chain of problems in other aspects, such as health, flood, air pollution, and environmental pollution. To overcome this problem, an integrated waste management system is needed. Household waste, especially inorganic waste, was valuable. The application was developed to promote a new paradigm; waste is a new source of money. As well as help run a circular economy in the waste recycling industry. The application to be built is "WasteApp", an independent household waste management application that can track and help manage it. This application is built using the Android operating system to make it a user-friendly tool. An application trial was conducted in Geulanggang Baro village, Bireuen district involving the operator, local government, and community. This location was chosen because they already have informal waste management, and it is easier to maximize by information technology intervention. The final result of this research is the “WasteApp” application based on android to manage household waste independently. The community, operator, and local government can work waste independently and systematically through this system. This application contains several menus, including the Home menu, login, register, and the main menu, namely the waste sell history and selling waste, as well as educational articles that contain how to manage waste, from sorting waste to the recycling process. Community participation was needed to increase to full implementation of good waste management.
Clustering the Distribution of COVID-19 in Aceh Province Using the Fuzzy C-Means Algorithm Nurdin, Nurdin; Fitriani, Suci; Yunizar, Zara; Bustami, Bustami
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 3 (2022): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i3.8576

Abstract

COVID-19 is a virus that attacks the respiratory system in humans and spreads rapidly. The government has taken various ways to reduce the rate of transmission of COVID-19, including by providing a COVID-19 information center that can be accessed by anyone, but there is no grouping of regional zones with high to low COVID-19 cases. Therefore, a clustering process system for the spread of COVID-19 is needed so that it is able to provide information on clusters of COVID-19 distribution areas in Aceh with the highest case zone (red zone), medium case zone (yellow zone), and low case zone (green zone). The steps carried out in this study using the Fuzzy C-Means Algorithm are collecting data (input data), conducting the clustering process (determining the number of clusters, weighting rank, maximum iteration and epsilon), displaying clustering results. In this study, the authors collected COVID-19 data from 23 districts/cities in Aceh using 6 variables consisting of confirmed, in care, healed, died, suspected, and probable. The results of the clustering study on the spread of COVID-19 are as follows: One district/city in cluster 1 (red zone), the four districts/cities in cluster 2 (yellow zone), eighteen districts/cities in cluster 3 (green zone). Based on the results of this study, the Fuzzy C-Means Algorithm can be used and applied properly in clustering the spread of COVID-19 in the Province of Aceh. 
Co-Authors ,, Iqbal ,, Maulidasari ,, Zulaifani ., Yulisma Aidilof, Hafizh Al Kautsar Aidilof, Hafizh Al-Kautsar Aisah, Sri Purwani Amelia, Ulva Aminsyah, Ansharulhaq Arief Fazillah Arif H., Nanda Nan Arnawan Hasibuan Asran Asran Bariah, Hairul Bustami Bustami Cindy Rahayu Dahlan Abdullah Devi, Salma Dhyra Gibran Alinda Dr M Rajeswari Elma Fitria Ananda ERNAWITA ERNAWITA Ersa, Nanda Savira Eva Darnila Fadlisyah Fadlisyah Fajri, Riyadhul Fajri, Ryadhul Fajriana, Fajriana Fardiansyah, T. Fasdarsyah Fasdarsyah Fatimah Zuhra Fatimah Zuhra Fatimah Zuhra Fuadi, Wahyu Hafidh Rafif, Teuku Muhammad Harahap, Ilham Taruna Hasan, Phadlin HENDRA ZULKIFLI Irshad Ahmad Reshi Johan, T. M. Kartika Kartika Kurnia Amanda, Destiara Lidya Rosnita M. Fauzan M.Cs, Iqbal, Maghfirah Maghfirah Maha, Dedi Torang P Mahara, Sabda Mahendra Febriliansyah Maizuar Maizuar Maryana Maryana, Maryana Maulana Helmi, Fathan Maulana, O.K.Muhammad Majid Melizar Meutia Rahmi Misbahul Jannah Muhammad Daud Muhammad Fikry Muhammad Ikhwani Muhammad Muhammad Muharni Muharni Mukhlis Mukhlis Mukhlis Mulaesyi, Syibbran Munar, Munar Munirul Ula Mursyidah Mursyidah MUTHMAINNAH Muthmainnah Muthmainnah NinaUlfauza NinaUlfauza Nunsina, Nunsina Nur Mauliza Nura Usrina Nurdin Nurdin Nuryawan, Nuryawan Putri, Riska Yolanda Ramadhana Juseva Ridha, Ridha Rini Meiyanti Ritonga, Huan Margana Rizal S.Si., M.IT, Rizal Rizki Suwanda Rizky Almunadiansyah Rizky Putra Fhonna Rizky, Rahmat Rizkya, Dini Dara Rozzi Kesuma Dinata Rusnani Rusnani Rusniati Rusniati Ruwaida Ruwaida Safwandi Safwandi Said Fadlan Anshari Savira Ersa, Nanda Siregar, Winda Ramadhani Sriana, Anis Suci Fitriani, Suci Sujacka Retno Syintia, Icut Taufiq Taufiq Tjut Adek, Rizal Wahyu Fuadi Yanti, Winda Yesy Afrillia Zalfie Ardian Zulsuhendra, Edi